/* THIS IS A GENERATED/BUNDLED FILE BY ESBUILD if you want to view the source, please visit the github repository of this plugin */ var __create2 = Object.create; var __defProp2 = Object.defineProperty; var __getOwnPropDesc2 = Object.getOwnPropertyDescriptor; var __getOwnPropNames2 = Object.getOwnPropertyNames; var __getProtoOf2 = Object.getPrototypeOf; var __hasOwnProp2 = Object.prototype.hasOwnProperty; var __defNormalProp2 = (obj, key, value) => key in obj ? __defProp2(obj, key, { enumerable: true, configurable: true, writable: true, value }) : obj[key] = value; var __esm = (fn2, res) => function __init() { return fn2 && (res = (0, fn2[__getOwnPropNames2(fn2)[0]])(fn2 = 0)), res; }; var __commonJS2 = (cb, mod) => function __require() { return mod || (0, cb[__getOwnPropNames2(cb)[0]])((mod = { exports: {} }).exports, mod), mod.exports; }; var __export2 = (target, all) => { for (var name in all) __defProp2(target, name, { get: all[name], enumerable: true }); }; var __copyProps = (to, from, except, desc) => { if (from && typeof from === "object" || typeof from === "function") { for (let key of __getOwnPropNames2(from)) if (!__hasOwnProp2.call(to, key) && key !== except) __defProp2(to, key, { get: () => from[key], enumerable: !(desc = __getOwnPropDesc2(from, key)) || desc.enumerable }); } return to; }; var __toESM = (mod, isNodeMode, target) => (target = mod != null ? __create2(__getProtoOf2(mod)) : {}, __copyProps( // If the importer is in node compatibility mode or this is not an ESM // file that has been converted to a CommonJS file using a Babel- // compatible transform (i.e. "__esModule" has not been set), then set // "default" to the CommonJS "module.exports" for node compatibility. isNodeMode || !mod || !mod.__esModule ? __defProp2(target, "default", { value: mod, enumerable: true }) : target, mod )); var __toCommonJS = (mod) => __copyProps(__defProp2({}, "__esModule", { value: true }), mod); var __publicField2 = (obj, key, value) => { __defNormalProp2(obj, typeof key !== "symbol" ? key + "" : key, value); return value; }; var __accessCheck = (obj, member, msg) => { if (!member.has(obj)) throw TypeError("Cannot " + msg); }; var __privateGet = (obj, member, getter) => { __accessCheck(obj, member, "read from private field"); return getter ? getter.call(obj) : member.get(obj); }; var __privateAdd = (obj, member, value) => { if (member.has(obj)) throw TypeError("Cannot add the same private member more than once"); member instanceof WeakSet ? member.add(obj) : member.set(obj, value); }; var __privateSet = (obj, member, value, setter) => { __accessCheck(obj, member, "write to private field"); setter ? setter.call(obj, value) : member.set(obj, value); return value; }; // node_modules/onnxruntime-web/node_modules/onnxruntime-common/dist/cjs/backend-impl.js var require_backend_impl = __commonJS2({ "node_modules/onnxruntime-web/node_modules/onnxruntime-common/dist/cjs/backend-impl.js"(exports2) { "use strict"; Object.defineProperty(exports2, "__esModule", { value: true }); exports2.resolveBackendAndExecutionProviders = exports2.registerBackend = void 0; var backends = /* @__PURE__ */ new Map(); var backendsSortedByPriority = []; var registerBackend = (name, backend, priority) => { if (backend && typeof backend.init === "function" && typeof backend.createInferenceSessionHandler === "function") { const currentBackend = backends.get(name); if (currentBackend === void 0) { backends.set(name, { backend, priority }); } else if (currentBackend.priority > priority) { return; } else if (currentBackend.priority === priority) { if (currentBackend.backend !== backend) { throw new Error(`cannot register backend "${name}" using priority ${priority}`); } } if (priority >= 0) { const i = backendsSortedByPriority.indexOf(name); if (i !== -1) { backendsSortedByPriority.splice(i, 1); } for (let i2 = 0; i2 < backendsSortedByPriority.length; i2++) { if (backends.get(backendsSortedByPriority[i2]).priority <= priority) { backendsSortedByPriority.splice(i2, 0, name); return; } } backendsSortedByPriority.push(name); } return; } throw new TypeError("not a valid backend"); }; exports2.registerBackend = registerBackend; var tryResolveAndInitializeBackend = async (backendName) => { const backendInfo = backends.get(backendName); if (!backendInfo) { return "backend not found."; } if (backendInfo.initialized) { return backendInfo.backend; } else if (backendInfo.aborted) { return backendInfo.error; } else { const isInitializing = !!backendInfo.initPromise; try { if (!isInitializing) { backendInfo.initPromise = backendInfo.backend.init(backendName); } await backendInfo.initPromise; backendInfo.initialized = true; return backendInfo.backend; } catch (e) { if (!isInitializing) { backendInfo.error = `${e}`; backendInfo.aborted = true; } return backendInfo.error; } finally { delete backendInfo.initPromise; } } }; var resolveBackendAndExecutionProviders = async (options) => { const eps = options.executionProviders || []; const backendHints = eps.map((i) => typeof i === "string" ? i : i.name); const backendNames = backendHints.length === 0 ? backendsSortedByPriority : backendHints; let backend; const errors = []; const availableBackendNames = /* @__PURE__ */ new Set(); for (const backendName of backendNames) { const resolveResult = await tryResolveAndInitializeBackend(backendName); if (typeof resolveResult === "string") { errors.push({ name: backendName, err: resolveResult }); } else { if (!backend) { backend = resolveResult; } if (backend === resolveResult) { availableBackendNames.add(backendName); } } } if (!backend) { throw new Error(`no available backend found. ERR: ${errors.map((e) => `[${e.name}] ${e.err}`).join(", ")}`); } for (const { name, err } of errors) { if (backendHints.includes(name)) { console.warn(`removing requested execution provider "${name}" from session options because it is not available: ${err}`); } } const filteredEps = eps.filter((i) => availableBackendNames.has(typeof i === "string" ? i : i.name)); return [ backend, new Proxy(options, { get: (target, prop) => { if (prop === "executionProviders") { return filteredEps; } return Reflect.get(target, prop); } }) ]; }; exports2.resolveBackendAndExecutionProviders = resolveBackendAndExecutionProviders; } }); // node_modules/onnxruntime-web/node_modules/onnxruntime-common/dist/cjs/backend.js var require_backend = __commonJS2({ "node_modules/onnxruntime-web/node_modules/onnxruntime-common/dist/cjs/backend.js"(exports2) { "use strict"; Object.defineProperty(exports2, "__esModule", { value: true }); exports2.registerBackend = void 0; var backend_impl_js_1 = require_backend_impl(); Object.defineProperty(exports2, "registerBackend", { enumerable: true, get: function() { return backend_impl_js_1.registerBackend; } }); } }); // node_modules/onnxruntime-web/node_modules/onnxruntime-common/dist/cjs/version.js var require_version = __commonJS2({ "node_modules/onnxruntime-web/node_modules/onnxruntime-common/dist/cjs/version.js"(exports2) { "use strict"; Object.defineProperty(exports2, "__esModule", { value: true }); exports2.version = void 0; exports2.version = "1.24.0-dev.20251116-b39e144322"; } }); // node_modules/onnxruntime-web/node_modules/onnxruntime-common/dist/cjs/env-impl.js var require_env_impl = __commonJS2({ "node_modules/onnxruntime-web/node_modules/onnxruntime-common/dist/cjs/env-impl.js"(exports2) { "use strict"; Object.defineProperty(exports2, "__esModule", { value: true }); exports2.env = void 0; var version_js_1 = require_version(); var logLevelValue = "warning"; exports2.env = { wasm: {}, webgl: {}, webgpu: {}, versions: { common: version_js_1.version }, set logLevel(value) { if (value === void 0) { return; } if (typeof value !== "string" || ["verbose", "info", "warning", "error", "fatal"].indexOf(value) === -1) { throw new Error(`Unsupported logging level: ${value}`); } logLevelValue = value; }, get logLevel() { return logLevelValue; } }; Object.defineProperty(exports2.env, "logLevel", { enumerable: true }); } }); // node_modules/onnxruntime-web/node_modules/onnxruntime-common/dist/cjs/env.js var require_env = __commonJS2({ "node_modules/onnxruntime-web/node_modules/onnxruntime-common/dist/cjs/env.js"(exports2) { "use strict"; Object.defineProperty(exports2, "__esModule", { value: true }); exports2.env = void 0; var env_impl_js_1 = require_env_impl(); exports2.env = env_impl_js_1.env; } }); // node_modules/onnxruntime-web/node_modules/onnxruntime-common/dist/cjs/tensor-conversion-impl.js var require_tensor_conversion_impl = __commonJS2({ "node_modules/onnxruntime-web/node_modules/onnxruntime-common/dist/cjs/tensor-conversion-impl.js"(exports2) { "use strict"; Object.defineProperty(exports2, "__esModule", { value: true }); exports2.tensorToImageData = exports2.tensorToDataURL = void 0; var tensorToDataURL = (tensor, options) => { const canvas = typeof document !== "undefined" ? document.createElement("canvas") : new OffscreenCanvas(1, 1); canvas.width = tensor.dims[3]; canvas.height = tensor.dims[2]; const pixels2DContext = canvas.getContext("2d"); if (pixels2DContext != null) { let width; let height; if (options?.tensorLayout !== void 0 && options.tensorLayout === "NHWC") { width = tensor.dims[2]; height = tensor.dims[3]; } else { width = tensor.dims[3]; height = tensor.dims[2]; } const inputformat = options?.format !== void 0 ? options.format : "RGB"; const norm = options?.norm; let normMean; let normBias; if (norm === void 0 || norm.mean === void 0) { normMean = [255, 255, 255, 255]; } else { if (typeof norm.mean === "number") { normMean = [norm.mean, norm.mean, norm.mean, norm.mean]; } else { normMean = [norm.mean[0], norm.mean[1], norm.mean[2], 0]; if (norm.mean[3] !== void 0) { normMean[3] = norm.mean[3]; } } } if (norm === void 0 || norm.bias === void 0) { normBias = [0, 0, 0, 0]; } else { if (typeof norm.bias === "number") { normBias = [norm.bias, norm.bias, norm.bias, norm.bias]; } else { normBias = [norm.bias[0], norm.bias[1], norm.bias[2], 0]; if (norm.bias[3] !== void 0) { normBias[3] = norm.bias[3]; } } } const stride = height * width; let rTensorPointer = 0, gTensorPointer = stride, bTensorPointer = stride * 2, aTensorPointer = -1; if (inputformat === "RGBA") { rTensorPointer = 0; gTensorPointer = stride; bTensorPointer = stride * 2; aTensorPointer = stride * 3; } else if (inputformat === "RGB") { rTensorPointer = 0; gTensorPointer = stride; bTensorPointer = stride * 2; } else if (inputformat === "RBG") { rTensorPointer = 0; bTensorPointer = stride; gTensorPointer = stride * 2; } for (let i = 0; i < height; i++) { for (let j = 0; j < width; j++) { const R = (tensor.data[rTensorPointer++] - normBias[0]) * normMean[0]; const G = (tensor.data[gTensorPointer++] - normBias[1]) * normMean[1]; const B = (tensor.data[bTensorPointer++] - normBias[2]) * normMean[2]; const A = aTensorPointer === -1 ? 255 : (tensor.data[aTensorPointer++] - normBias[3]) * normMean[3]; pixels2DContext.fillStyle = "rgba(" + R + "," + G + "," + B + "," + A + ")"; pixels2DContext.fillRect(j, i, 1, 1); } } if ("toDataURL" in canvas) { return canvas.toDataURL(); } else { throw new Error("toDataURL is not supported"); } } else { throw new Error("Can not access image data"); } }; exports2.tensorToDataURL = tensorToDataURL; var tensorToImageData = (tensor, options) => { const pixels2DContext = typeof document !== "undefined" ? document.createElement("canvas").getContext("2d") : new OffscreenCanvas(1, 1).getContext("2d"); let image; if (pixels2DContext != null) { let width; let height; let channels; if (options?.tensorLayout !== void 0 && options.tensorLayout === "NHWC") { width = tensor.dims[2]; height = tensor.dims[1]; channels = tensor.dims[3]; } else { width = tensor.dims[3]; height = tensor.dims[2]; channels = tensor.dims[1]; } const inputformat = options !== void 0 ? options.format !== void 0 ? options.format : "RGB" : "RGB"; const norm = options?.norm; let normMean; let normBias; if (norm === void 0 || norm.mean === void 0) { normMean = [255, 255, 255, 255]; } else { if (typeof norm.mean === "number") { normMean = [norm.mean, norm.mean, norm.mean, norm.mean]; } else { normMean = [norm.mean[0], norm.mean[1], norm.mean[2], 255]; if (norm.mean[3] !== void 0) { normMean[3] = norm.mean[3]; } } } if (norm === void 0 || norm.bias === void 0) { normBias = [0, 0, 0, 0]; } else { if (typeof norm.bias === "number") { normBias = [norm.bias, norm.bias, norm.bias, norm.bias]; } else { normBias = [norm.bias[0], norm.bias[1], norm.bias[2], 0]; if (norm.bias[3] !== void 0) { normBias[3] = norm.bias[3]; } } } const stride = height * width; if (options !== void 0) { if (options.format !== void 0 && channels === 4 && options.format !== "RGBA" || channels === 3 && options.format !== "RGB" && options.format !== "BGR") { throw new Error("Tensor format doesn't match input tensor dims"); } } const step = 4; let rImagePointer = 0, gImagePointer = 1, bImagePointer = 2, aImagePointer = 3; let rTensorPointer = 0, gTensorPointer = stride, bTensorPointer = stride * 2, aTensorPointer = -1; if (inputformat === "RGBA") { rTensorPointer = 0; gTensorPointer = stride; bTensorPointer = stride * 2; aTensorPointer = stride * 3; } else if (inputformat === "RGB") { rTensorPointer = 0; gTensorPointer = stride; bTensorPointer = stride * 2; } else if (inputformat === "RBG") { rTensorPointer = 0; bTensorPointer = stride; gTensorPointer = stride * 2; } image = pixels2DContext.createImageData(width, height); for (let i = 0; i < height * width; rImagePointer += step, gImagePointer += step, bImagePointer += step, aImagePointer += step, i++) { image.data[rImagePointer] = (tensor.data[rTensorPointer++] - normBias[0]) * normMean[0]; image.data[gImagePointer] = (tensor.data[gTensorPointer++] - normBias[1]) * normMean[1]; image.data[bImagePointer] = (tensor.data[bTensorPointer++] - normBias[2]) * normMean[2]; image.data[aImagePointer] = aTensorPointer === -1 ? 255 : (tensor.data[aTensorPointer++] - normBias[3]) * normMean[3]; } } else { throw new Error("Can not access image data"); } return image; }; exports2.tensorToImageData = tensorToImageData; } }); // node_modules/onnxruntime-web/node_modules/onnxruntime-common/dist/cjs/tensor-factory-impl.js var require_tensor_factory_impl = __commonJS2({ "node_modules/onnxruntime-web/node_modules/onnxruntime-common/dist/cjs/tensor-factory-impl.js"(exports2) { "use strict"; Object.defineProperty(exports2, "__esModule", { value: true }); exports2.tensorFromPinnedBuffer = exports2.tensorFromMLTensor = exports2.tensorFromGpuBuffer = exports2.tensorFromTexture = exports2.tensorFromImage = exports2.bufferToTensor = void 0; var tensor_impl_js_1 = require_tensor_impl(); var bufferToTensor = (buffer, options) => { if (buffer === void 0) { throw new Error("Image buffer must be defined"); } if (options.height === void 0 || options.width === void 0) { throw new Error("Image height and width must be defined"); } if (options.tensorLayout === "NHWC") { throw new Error("NHWC Tensor layout is not supported yet"); } const { height, width } = options; const norm = options.norm ?? { mean: 255, bias: 0 }; let normMean; let normBias; if (typeof norm.mean === "number") { normMean = [norm.mean, norm.mean, norm.mean, norm.mean]; } else { normMean = [norm.mean[0], norm.mean[1], norm.mean[2], norm.mean[3] ?? 255]; } if (typeof norm.bias === "number") { normBias = [norm.bias, norm.bias, norm.bias, norm.bias]; } else { normBias = [norm.bias[0], norm.bias[1], norm.bias[2], norm.bias[3] ?? 0]; } const inputformat = options.format !== void 0 ? options.format : "RGBA"; const outputformat = options.tensorFormat !== void 0 ? options.tensorFormat !== void 0 ? options.tensorFormat : "RGB" : "RGB"; const stride = height * width; const float32Data = outputformat === "RGBA" ? new Float32Array(stride * 4) : new Float32Array(stride * 3); let step = 4, rImagePointer = 0, gImagePointer = 1, bImagePointer = 2, aImagePointer = 3; let rTensorPointer = 0, gTensorPointer = stride, bTensorPointer = stride * 2, aTensorPointer = -1; if (inputformat === "RGB") { step = 3; rImagePointer = 0; gImagePointer = 1; bImagePointer = 2; aImagePointer = -1; } if (outputformat === "RGBA") { aTensorPointer = stride * 3; } else if (outputformat === "RBG") { rTensorPointer = 0; bTensorPointer = stride; gTensorPointer = stride * 2; } else if (outputformat === "BGR") { bTensorPointer = 0; gTensorPointer = stride; rTensorPointer = stride * 2; } for (let i = 0; i < stride; i++, rImagePointer += step, bImagePointer += step, gImagePointer += step, aImagePointer += step) { float32Data[rTensorPointer++] = (buffer[rImagePointer] + normBias[0]) / normMean[0]; float32Data[gTensorPointer++] = (buffer[gImagePointer] + normBias[1]) / normMean[1]; float32Data[bTensorPointer++] = (buffer[bImagePointer] + normBias[2]) / normMean[2]; if (aTensorPointer !== -1 && aImagePointer !== -1) { float32Data[aTensorPointer++] = (buffer[aImagePointer] + normBias[3]) / normMean[3]; } } const outputTensor = outputformat === "RGBA" ? new tensor_impl_js_1.Tensor("float32", float32Data, [1, 4, height, width]) : new tensor_impl_js_1.Tensor("float32", float32Data, [1, 3, height, width]); return outputTensor; }; exports2.bufferToTensor = bufferToTensor; var tensorFromImage = async (image, options) => { const isHTMLImageEle = typeof HTMLImageElement !== "undefined" && image instanceof HTMLImageElement; const isImageDataEle = typeof ImageData !== "undefined" && image instanceof ImageData; const isImageBitmap = typeof ImageBitmap !== "undefined" && image instanceof ImageBitmap; const isString = typeof image === "string"; let data; let bufferToTensorOptions = options ?? {}; const createCanvas = () => { if (typeof document !== "undefined") { return document.createElement("canvas"); } else if (typeof OffscreenCanvas !== "undefined") { return new OffscreenCanvas(1, 1); } else { throw new Error("Canvas is not supported"); } }; const createCanvasContext = (canvas) => { if (typeof HTMLCanvasElement !== "undefined" && canvas instanceof HTMLCanvasElement) { return canvas.getContext("2d"); } else if (canvas instanceof OffscreenCanvas) { return canvas.getContext("2d"); } else { return null; } }; if (isHTMLImageEle) { const canvas = createCanvas(); canvas.width = image.width; canvas.height = image.height; const pixels2DContext = createCanvasContext(canvas); if (pixels2DContext != null) { let height = image.height; let width = image.width; if (options !== void 0 && options.resizedHeight !== void 0 && options.resizedWidth !== void 0) { height = options.resizedHeight; width = options.resizedWidth; } if (options !== void 0) { bufferToTensorOptions = options; if (options.tensorFormat !== void 0) { throw new Error("Image input config format must be RGBA for HTMLImageElement"); } else { bufferToTensorOptions.tensorFormat = "RGBA"; } bufferToTensorOptions.height = height; bufferToTensorOptions.width = width; } else { bufferToTensorOptions.tensorFormat = "RGBA"; bufferToTensorOptions.height = height; bufferToTensorOptions.width = width; } pixels2DContext.drawImage(image, 0, 0); data = pixels2DContext.getImageData(0, 0, width, height).data; } else { throw new Error("Can not access image data"); } } else if (isImageDataEle) { let height; let width; if (options !== void 0 && options.resizedWidth !== void 0 && options.resizedHeight !== void 0) { height = options.resizedHeight; width = options.resizedWidth; } else { height = image.height; width = image.width; } if (options !== void 0) { bufferToTensorOptions = options; } bufferToTensorOptions.format = "RGBA"; bufferToTensorOptions.height = height; bufferToTensorOptions.width = width; if (options !== void 0) { const tempCanvas = createCanvas(); tempCanvas.width = width; tempCanvas.height = height; const pixels2DContext = createCanvasContext(tempCanvas); if (pixels2DContext != null) { pixels2DContext.putImageData(image, 0, 0); data = pixels2DContext.getImageData(0, 0, width, height).data; } else { throw new Error("Can not access image data"); } } else { data = image.data; } } else if (isImageBitmap) { if (options === void 0) { throw new Error("Please provide image config with format for Imagebitmap"); } const canvas = createCanvas(); canvas.width = image.width; canvas.height = image.height; const pixels2DContext = createCanvasContext(canvas); if (pixels2DContext != null) { const height = image.height; const width = image.width; pixels2DContext.drawImage(image, 0, 0, width, height); data = pixels2DContext.getImageData(0, 0, width, height).data; bufferToTensorOptions.height = height; bufferToTensorOptions.width = width; return (0, exports2.bufferToTensor)(data, bufferToTensorOptions); } else { throw new Error("Can not access image data"); } } else if (isString) { return new Promise((resolve, reject) => { const canvas = createCanvas(); const context = createCanvasContext(canvas); if (!image || !context) { return reject(); } const newImage = new Image(); newImage.crossOrigin = "Anonymous"; newImage.src = image; newImage.onload = () => { canvas.width = newImage.width; canvas.height = newImage.height; context.drawImage(newImage, 0, 0, canvas.width, canvas.height); const img = context.getImageData(0, 0, canvas.width, canvas.height); bufferToTensorOptions.height = canvas.height; bufferToTensorOptions.width = canvas.width; resolve((0, exports2.bufferToTensor)(img.data, bufferToTensorOptions)); }; }); } else { throw new Error("Input data provided is not supported - aborted tensor creation"); } if (data !== void 0) { return (0, exports2.bufferToTensor)(data, bufferToTensorOptions); } else { throw new Error("Input data provided is not supported - aborted tensor creation"); } }; exports2.tensorFromImage = tensorFromImage; var tensorFromTexture = (texture, options) => { const { width, height, download, dispose } = options; const dims = [1, height, width, 4]; return new tensor_impl_js_1.Tensor({ location: "texture", type: "float32", texture, dims, download, dispose }); }; exports2.tensorFromTexture = tensorFromTexture; var tensorFromGpuBuffer = (gpuBuffer, options) => { const { dataType, dims, download, dispose } = options; return new tensor_impl_js_1.Tensor({ location: "gpu-buffer", type: dataType ?? "float32", gpuBuffer, dims, download, dispose }); }; exports2.tensorFromGpuBuffer = tensorFromGpuBuffer; var tensorFromMLTensor = (mlTensor, options) => { const { dataType, dims, download, dispose } = options; return new tensor_impl_js_1.Tensor({ location: "ml-tensor", type: dataType ?? "float32", mlTensor, dims, download, dispose }); }; exports2.tensorFromMLTensor = tensorFromMLTensor; var tensorFromPinnedBuffer = (type, buffer, dims) => new tensor_impl_js_1.Tensor({ location: "cpu-pinned", type, data: buffer, dims: dims ?? [buffer.length] }); exports2.tensorFromPinnedBuffer = tensorFromPinnedBuffer; } }); // node_modules/onnxruntime-web/node_modules/onnxruntime-common/dist/cjs/tensor-impl-type-mapping.js var require_tensor_impl_type_mapping = __commonJS2({ "node_modules/onnxruntime-web/node_modules/onnxruntime-common/dist/cjs/tensor-impl-type-mapping.js"(exports2) { "use strict"; Object.defineProperty(exports2, "__esModule", { value: true }); exports2.checkTypedArray = exports2.NUMERIC_TENSOR_TYPEDARRAY_TO_TYPE_MAP = exports2.NUMERIC_TENSOR_TYPE_TO_TYPEDARRAY_MAP = void 0; exports2.NUMERIC_TENSOR_TYPE_TO_TYPEDARRAY_MAP = /* @__PURE__ */ new Map([ ["float32", Float32Array], ["uint8", Uint8Array], ["int8", Int8Array], ["uint16", Uint16Array], ["int16", Int16Array], ["int32", Int32Array], ["bool", Uint8Array], ["float64", Float64Array], ["uint32", Uint32Array], ["int4", Uint8Array], ["uint4", Uint8Array] ]); exports2.NUMERIC_TENSOR_TYPEDARRAY_TO_TYPE_MAP = /* @__PURE__ */ new Map([ [Float32Array, "float32"], [Uint8Array, "uint8"], [Int8Array, "int8"], [Uint16Array, "uint16"], [Int16Array, "int16"], [Int32Array, "int32"], [Float64Array, "float64"], [Uint32Array, "uint32"] ]); var isTypedArrayChecked = false; var checkTypedArray = () => { if (!isTypedArrayChecked) { isTypedArrayChecked = true; const isBigInt64ArrayAvailable = typeof BigInt64Array !== "undefined" && BigInt64Array.from; const isBigUint64ArrayAvailable = typeof BigUint64Array !== "undefined" && BigUint64Array.from; const Float16Array2 = globalThis.Float16Array; const isFloat16ArrayAvailable = typeof Float16Array2 !== "undefined" && Float16Array2.from; if (isBigInt64ArrayAvailable) { exports2.NUMERIC_TENSOR_TYPE_TO_TYPEDARRAY_MAP.set("int64", BigInt64Array); exports2.NUMERIC_TENSOR_TYPEDARRAY_TO_TYPE_MAP.set(BigInt64Array, "int64"); } if (isBigUint64ArrayAvailable) { exports2.NUMERIC_TENSOR_TYPE_TO_TYPEDARRAY_MAP.set("uint64", BigUint64Array); exports2.NUMERIC_TENSOR_TYPEDARRAY_TO_TYPE_MAP.set(BigUint64Array, "uint64"); } if (isFloat16ArrayAvailable) { exports2.NUMERIC_TENSOR_TYPE_TO_TYPEDARRAY_MAP.set("float16", Float16Array2); exports2.NUMERIC_TENSOR_TYPEDARRAY_TO_TYPE_MAP.set(Float16Array2, "float16"); } else { exports2.NUMERIC_TENSOR_TYPE_TO_TYPEDARRAY_MAP.set("float16", Uint16Array); } } }; exports2.checkTypedArray = checkTypedArray; } }); // node_modules/onnxruntime-web/node_modules/onnxruntime-common/dist/cjs/tensor-utils-impl.js var require_tensor_utils_impl = __commonJS2({ "node_modules/onnxruntime-web/node_modules/onnxruntime-common/dist/cjs/tensor-utils-impl.js"(exports2) { "use strict"; Object.defineProperty(exports2, "__esModule", { value: true }); exports2.tensorReshape = exports2.calculateSize = void 0; var tensor_impl_js_1 = require_tensor_impl(); var calculateSize = (dims) => { let size = 1; for (let i = 0; i < dims.length; i++) { const dim = dims[i]; if (typeof dim !== "number" || !Number.isSafeInteger(dim)) { throw new TypeError(`dims[${i}] must be an integer, got: ${dim}`); } if (dim < 0) { throw new RangeError(`dims[${i}] must be a non-negative integer, got: ${dim}`); } size *= dim; } return size; }; exports2.calculateSize = calculateSize; var tensorReshape = (tensor, dims) => { switch (tensor.location) { case "cpu": return new tensor_impl_js_1.Tensor(tensor.type, tensor.data, dims); case "cpu-pinned": return new tensor_impl_js_1.Tensor({ location: "cpu-pinned", data: tensor.data, type: tensor.type, dims }); case "texture": return new tensor_impl_js_1.Tensor({ location: "texture", texture: tensor.texture, type: tensor.type, dims }); case "gpu-buffer": return new tensor_impl_js_1.Tensor({ location: "gpu-buffer", gpuBuffer: tensor.gpuBuffer, type: tensor.type, dims }); case "ml-tensor": return new tensor_impl_js_1.Tensor({ location: "ml-tensor", mlTensor: tensor.mlTensor, type: tensor.type, dims }); default: throw new Error(`tensorReshape: tensor location ${tensor.location} is not supported`); } }; exports2.tensorReshape = tensorReshape; } }); // node_modules/onnxruntime-web/node_modules/onnxruntime-common/dist/cjs/tensor-impl.js var require_tensor_impl = __commonJS2({ "node_modules/onnxruntime-web/node_modules/onnxruntime-common/dist/cjs/tensor-impl.js"(exports2) { "use strict"; Object.defineProperty(exports2, "__esModule", { value: true }); exports2.Tensor = void 0; var tensor_conversion_impl_js_1 = require_tensor_conversion_impl(); var tensor_factory_impl_js_1 = require_tensor_factory_impl(); var tensor_impl_type_mapping_js_1 = require_tensor_impl_type_mapping(); var tensor_utils_impl_js_1 = require_tensor_utils_impl(); var Tensor2 = class { /** * implementation. */ constructor(arg0, arg1, arg2) { (0, tensor_impl_type_mapping_js_1.checkTypedArray)(); let type; let dims; if (typeof arg0 === "object" && "location" in arg0) { this.dataLocation = arg0.location; type = arg0.type; dims = arg0.dims; switch (arg0.location) { case "cpu-pinned": { const expectedTypedArrayConstructor = tensor_impl_type_mapping_js_1.NUMERIC_TENSOR_TYPE_TO_TYPEDARRAY_MAP.get(type); if (!expectedTypedArrayConstructor) { throw new TypeError(`unsupported type "${type}" to create tensor from pinned buffer`); } if (!(arg0.data instanceof expectedTypedArrayConstructor)) { throw new TypeError(`buffer should be of type ${expectedTypedArrayConstructor.name}`); } this.cpuData = arg0.data; break; } case "texture": { if (type !== "float32") { throw new TypeError(`unsupported type "${type}" to create tensor from texture`); } this.gpuTextureData = arg0.texture; this.downloader = arg0.download; this.disposer = arg0.dispose; break; } case "gpu-buffer": { if (type !== "float32" && type !== "float16" && type !== "int32" && type !== "int64" && type !== "uint32" && type !== "uint8" && type !== "bool" && type !== "uint4" && type !== "int4") { throw new TypeError(`unsupported type "${type}" to create tensor from gpu buffer`); } this.gpuBufferData = arg0.gpuBuffer; this.downloader = arg0.download; this.disposer = arg0.dispose; break; } case "ml-tensor": { if (type !== "float32" && type !== "float16" && type !== "int32" && type !== "int64" && type !== "uint32" && type !== "uint64" && type !== "int8" && type !== "uint8" && type !== "bool" && type !== "uint4" && type !== "int4") { throw new TypeError(`unsupported type "${type}" to create tensor from MLTensor`); } this.mlTensorData = arg0.mlTensor; this.downloader = arg0.download; this.disposer = arg0.dispose; break; } default: throw new Error(`Tensor constructor: unsupported location '${this.dataLocation}'`); } } else { let data; let maybeDims; if (typeof arg0 === "string") { type = arg0; maybeDims = arg2; if (arg0 === "string") { if (!Array.isArray(arg1)) { throw new TypeError("A string tensor's data must be a string array."); } data = arg1; } else { const typedArrayConstructor = tensor_impl_type_mapping_js_1.NUMERIC_TENSOR_TYPE_TO_TYPEDARRAY_MAP.get(arg0); if (typedArrayConstructor === void 0) { throw new TypeError(`Unsupported tensor type: ${arg0}.`); } if (Array.isArray(arg1)) { if (arg0 === "float16" && typedArrayConstructor === Uint16Array || arg0 === "uint4" || arg0 === "int4") { throw new TypeError(`Creating a ${arg0} tensor from number array is not supported. Please use ${typedArrayConstructor.name} as data.`); } else if (arg0 === "uint64" || arg0 === "int64") { data = typedArrayConstructor.from(arg1, BigInt); } else { data = typedArrayConstructor.from(arg1); } } else if (arg1 instanceof typedArrayConstructor) { data = arg1; } else if (arg1 instanceof Uint8ClampedArray) { if (arg0 === "uint8") { data = Uint8Array.from(arg1); } else { throw new TypeError(`A Uint8ClampedArray tensor's data must be type of uint8`); } } else if (arg0 === "float16" && arg1 instanceof Uint16Array && typedArrayConstructor !== Uint16Array) { data = new globalThis.Float16Array(arg1.buffer, arg1.byteOffset, arg1.length); } else { throw new TypeError(`A ${type} tensor's data must be type of ${typedArrayConstructor}`); } } } else { maybeDims = arg1; if (Array.isArray(arg0)) { if (arg0.length === 0) { throw new TypeError("Tensor type cannot be inferred from an empty array."); } const firstElementType = typeof arg0[0]; if (firstElementType === "string") { type = "string"; data = arg0; } else if (firstElementType === "boolean") { type = "bool"; data = Uint8Array.from(arg0); } else { throw new TypeError(`Invalid element type of data array: ${firstElementType}.`); } } else if (arg0 instanceof Uint8ClampedArray) { type = "uint8"; data = Uint8Array.from(arg0); } else { const mappedType = tensor_impl_type_mapping_js_1.NUMERIC_TENSOR_TYPEDARRAY_TO_TYPE_MAP.get(arg0.constructor); if (mappedType === void 0) { throw new TypeError(`Unsupported type for tensor data: ${arg0.constructor}.`); } type = mappedType; data = arg0; } } if (maybeDims === void 0) { maybeDims = [data.length]; } else if (!Array.isArray(maybeDims)) { throw new TypeError("A tensor's dims must be a number array"); } dims = maybeDims; this.cpuData = data; this.dataLocation = "cpu"; } const size = (0, tensor_utils_impl_js_1.calculateSize)(dims); if (this.cpuData && size !== this.cpuData.length) { if ((type === "uint4" || type === "int4") && Math.ceil(size / 2) === this.cpuData.length) { } else { throw new Error(`Tensor's size(${size}) does not match data length(${this.cpuData.length}).`); } } this.type = type; this.dims = dims; this.size = size; } // #endregion // #region factory static async fromImage(image, options) { return (0, tensor_factory_impl_js_1.tensorFromImage)(image, options); } static fromTexture(texture, options) { return (0, tensor_factory_impl_js_1.tensorFromTexture)(texture, options); } static fromGpuBuffer(gpuBuffer, options) { return (0, tensor_factory_impl_js_1.tensorFromGpuBuffer)(gpuBuffer, options); } static fromMLTensor(mlTensor, options) { return (0, tensor_factory_impl_js_1.tensorFromMLTensor)(mlTensor, options); } static fromPinnedBuffer(type, buffer, dims) { return (0, tensor_factory_impl_js_1.tensorFromPinnedBuffer)(type, buffer, dims); } // #endregion // #region conversions toDataURL(options) { return (0, tensor_conversion_impl_js_1.tensorToDataURL)(this, options); } toImageData(options) { return (0, tensor_conversion_impl_js_1.tensorToImageData)(this, options); } // #endregion // #region properties get data() { this.ensureValid(); if (!this.cpuData) { throw new Error("The data is not on CPU. Use `getData()` to download GPU data to CPU, or use `texture` or `gpuBuffer` property to access the GPU data directly."); } return this.cpuData; } get location() { return this.dataLocation; } get texture() { this.ensureValid(); if (!this.gpuTextureData) { throw new Error("The data is not stored as a WebGL texture."); } return this.gpuTextureData; } get gpuBuffer() { this.ensureValid(); if (!this.gpuBufferData) { throw new Error("The data is not stored as a WebGPU buffer."); } return this.gpuBufferData; } get mlTensor() { this.ensureValid(); if (!this.mlTensorData) { throw new Error("The data is not stored as a WebNN MLTensor."); } return this.mlTensorData; } // #endregion // #region methods async getData(releaseData) { this.ensureValid(); switch (this.dataLocation) { case "cpu": case "cpu-pinned": return this.data; case "texture": case "gpu-buffer": case "ml-tensor": { if (!this.downloader) { throw new Error("The current tensor is not created with a specified data downloader."); } if (this.isDownloading) { throw new Error("The current tensor is being downloaded."); } try { this.isDownloading = true; const data = await this.downloader(); this.downloader = void 0; this.dataLocation = "cpu"; this.cpuData = data; if (releaseData && this.disposer) { this.disposer(); this.disposer = void 0; } return data; } finally { this.isDownloading = false; } } default: throw new Error(`cannot get data from location: ${this.dataLocation}`); } } dispose() { if (this.isDownloading) { throw new Error("The current tensor is being downloaded."); } if (this.disposer) { this.disposer(); this.disposer = void 0; } this.cpuData = void 0; this.gpuTextureData = void 0; this.gpuBufferData = void 0; this.mlTensorData = void 0; this.downloader = void 0; this.isDownloading = void 0; this.dataLocation = "none"; } // #endregion // #region tensor utilities ensureValid() { if (this.dataLocation === "none") { throw new Error("The tensor is disposed."); } } reshape(dims) { this.ensureValid(); if (this.downloader || this.disposer) { throw new Error("Cannot reshape a tensor that owns GPU resource."); } return (0, tensor_utils_impl_js_1.tensorReshape)(this, dims); } }; exports2.Tensor = Tensor2; } }); // node_modules/onnxruntime-web/node_modules/onnxruntime-common/dist/cjs/tensor.js var require_tensor = __commonJS2({ "node_modules/onnxruntime-web/node_modules/onnxruntime-common/dist/cjs/tensor.js"(exports2) { "use strict"; Object.defineProperty(exports2, "__esModule", { value: true }); exports2.Tensor = void 0; var tensor_impl_js_1 = require_tensor_impl(); exports2.Tensor = tensor_impl_js_1.Tensor; } }); // node_modules/onnxruntime-web/node_modules/onnxruntime-common/dist/cjs/trace.js var require_trace = __commonJS2({ "node_modules/onnxruntime-web/node_modules/onnxruntime-common/dist/cjs/trace.js"(exports2) { "use strict"; Object.defineProperty(exports2, "__esModule", { value: true }); exports2.TRACE_EVENT_END = exports2.TRACE_EVENT_BEGIN = exports2.TRACE_FUNC_END = exports2.TRACE_FUNC_BEGIN = exports2.TRACE = void 0; var env_impl_js_1 = require_env_impl(); var TRACE = (deviceType, label) => { if (typeof env_impl_js_1.env.trace === "undefined" ? !env_impl_js_1.env.wasm.trace : !env_impl_js_1.env.trace) { return; } console.timeStamp(`${deviceType}::ORT::${label}`); }; exports2.TRACE = TRACE; var TRACE_FUNC = (msg, extraMsg) => { const stack2 = new Error().stack?.split(/\r\n|\r|\n/g) || []; let hasTraceFunc = false; for (let i = 0; i < stack2.length; i++) { if (hasTraceFunc && !stack2[i].includes("TRACE_FUNC")) { let label = `FUNC_${msg}::${stack2[i].trim().split(" ")[1]}`; if (extraMsg) { label += `::${extraMsg}`; } (0, exports2.TRACE)("CPU", label); return; } if (stack2[i].includes("TRACE_FUNC")) { hasTraceFunc = true; } } }; var TRACE_FUNC_BEGIN = (extraMsg) => { if (typeof env_impl_js_1.env.trace === "undefined" ? !env_impl_js_1.env.wasm.trace : !env_impl_js_1.env.trace) { return; } TRACE_FUNC("BEGIN", extraMsg); }; exports2.TRACE_FUNC_BEGIN = TRACE_FUNC_BEGIN; var TRACE_FUNC_END = (extraMsg) => { if (typeof env_impl_js_1.env.trace === "undefined" ? !env_impl_js_1.env.wasm.trace : !env_impl_js_1.env.trace) { return; } TRACE_FUNC("END", extraMsg); }; exports2.TRACE_FUNC_END = TRACE_FUNC_END; var TRACE_EVENT_BEGIN = (extraMsg) => { if (typeof env_impl_js_1.env.trace === "undefined" ? !env_impl_js_1.env.wasm.trace : !env_impl_js_1.env.trace) { return; } console.time(`ORT::${extraMsg}`); }; exports2.TRACE_EVENT_BEGIN = TRACE_EVENT_BEGIN; var TRACE_EVENT_END = (extraMsg) => { if (typeof env_impl_js_1.env.trace === "undefined" ? !env_impl_js_1.env.wasm.trace : !env_impl_js_1.env.trace) { return; } console.timeEnd(`ORT::${extraMsg}`); }; exports2.TRACE_EVENT_END = TRACE_EVENT_END; } }); // node_modules/onnxruntime-web/node_modules/onnxruntime-common/dist/cjs/inference-session-impl.js var require_inference_session_impl = __commonJS2({ "node_modules/onnxruntime-web/node_modules/onnxruntime-common/dist/cjs/inference-session-impl.js"(exports2) { "use strict"; Object.defineProperty(exports2, "__esModule", { value: true }); exports2.InferenceSession = void 0; var backend_impl_js_1 = require_backend_impl(); var tensor_js_1 = require_tensor(); var trace_js_1 = require_trace(); var InferenceSession = class { constructor(handler) { this.handler = handler; } async run(feeds, arg1, arg2) { (0, trace_js_1.TRACE_FUNC_BEGIN)(); (0, trace_js_1.TRACE_EVENT_BEGIN)("InferenceSession.run"); const fetches = {}; let options = {}; if (typeof feeds !== "object" || feeds === null || feeds instanceof tensor_js_1.Tensor || Array.isArray(feeds)) { throw new TypeError("'feeds' must be an object that use input names as keys and OnnxValue as corresponding values."); } let isFetchesEmpty = true; if (typeof arg1 === "object") { if (arg1 === null) { throw new TypeError("Unexpected argument[1]: cannot be null."); } if (arg1 instanceof tensor_js_1.Tensor) { throw new TypeError("'fetches' cannot be a Tensor"); } if (Array.isArray(arg1)) { if (arg1.length === 0) { throw new TypeError("'fetches' cannot be an empty array."); } isFetchesEmpty = false; for (const name of arg1) { if (typeof name !== "string") { throw new TypeError("'fetches' must be a string array or an object."); } if (this.outputNames.indexOf(name) === -1) { throw new RangeError(`'fetches' contains invalid output name: ${name}.`); } fetches[name] = null; } if (typeof arg2 === "object" && arg2 !== null) { options = arg2; } else if (typeof arg2 !== "undefined") { throw new TypeError("'options' must be an object."); } } else { let isFetches = false; const arg1Keys = Object.getOwnPropertyNames(arg1); for (const name of this.outputNames) { if (arg1Keys.indexOf(name) !== -1) { const v = arg1[name]; if (v === null || v instanceof tensor_js_1.Tensor) { isFetches = true; isFetchesEmpty = false; fetches[name] = v; } } } if (isFetches) { if (typeof arg2 === "object" && arg2 !== null) { options = arg2; } else if (typeof arg2 !== "undefined") { throw new TypeError("'options' must be an object."); } } else { options = arg1; } } } else if (typeof arg1 !== "undefined") { throw new TypeError("Unexpected argument[1]: must be 'fetches' or 'options'."); } for (const name of this.inputNames) { if (typeof feeds[name] === "undefined") { throw new Error(`input '${name}' is missing in 'feeds'.`); } } if (isFetchesEmpty) { for (const name of this.outputNames) { fetches[name] = null; } } const results = await this.handler.run(feeds, fetches, options); const returnValue = {}; for (const key in results) { if (Object.hasOwnProperty.call(results, key)) { const result = results[key]; if (result instanceof tensor_js_1.Tensor) { returnValue[key] = result; } else { returnValue[key] = new tensor_js_1.Tensor(result.type, result.data, result.dims); } } } (0, trace_js_1.TRACE_EVENT_END)("InferenceSession.run"); (0, trace_js_1.TRACE_FUNC_END)(); return returnValue; } async release() { return this.handler.dispose(); } static async create(arg0, arg1, arg2, arg3) { (0, trace_js_1.TRACE_FUNC_BEGIN)(); (0, trace_js_1.TRACE_EVENT_BEGIN)("InferenceSession.create"); let filePathOrUint8Array; let options = {}; if (typeof arg0 === "string") { filePathOrUint8Array = arg0; if (typeof arg1 === "object" && arg1 !== null) { options = arg1; } else if (typeof arg1 !== "undefined") { throw new TypeError("'options' must be an object."); } } else if (arg0 instanceof Uint8Array) { filePathOrUint8Array = arg0; if (typeof arg1 === "object" && arg1 !== null) { options = arg1; } else if (typeof arg1 !== "undefined") { throw new TypeError("'options' must be an object."); } } else if (arg0 instanceof ArrayBuffer || typeof SharedArrayBuffer !== "undefined" && arg0 instanceof SharedArrayBuffer) { const buffer = arg0; let byteOffset = 0; let byteLength = arg0.byteLength; if (typeof arg1 === "object" && arg1 !== null) { options = arg1; } else if (typeof arg1 === "number") { byteOffset = arg1; if (!Number.isSafeInteger(byteOffset)) { throw new RangeError("'byteOffset' must be an integer."); } if (byteOffset < 0 || byteOffset >= buffer.byteLength) { throw new RangeError(`'byteOffset' is out of range [0, ${buffer.byteLength}).`); } byteLength = arg0.byteLength - byteOffset; if (typeof arg2 === "number") { byteLength = arg2; if (!Number.isSafeInteger(byteLength)) { throw new RangeError("'byteLength' must be an integer."); } if (byteLength <= 0 || byteOffset + byteLength > buffer.byteLength) { throw new RangeError(`'byteLength' is out of range (0, ${buffer.byteLength - byteOffset}].`); } if (typeof arg3 === "object" && arg3 !== null) { options = arg3; } else if (typeof arg3 !== "undefined") { throw new TypeError("'options' must be an object."); } } else if (typeof arg2 !== "undefined") { throw new TypeError("'byteLength' must be a number."); } } else if (typeof arg1 !== "undefined") { throw new TypeError("'options' must be an object."); } filePathOrUint8Array = new Uint8Array(buffer, byteOffset, byteLength); } else { throw new TypeError("Unexpected argument[0]: must be 'path' or 'buffer'."); } const [backend, optionsWithValidatedEPs] = await (0, backend_impl_js_1.resolveBackendAndExecutionProviders)(options); const handler = await backend.createInferenceSessionHandler(filePathOrUint8Array, optionsWithValidatedEPs); (0, trace_js_1.TRACE_EVENT_END)("InferenceSession.create"); (0, trace_js_1.TRACE_FUNC_END)(); return new InferenceSession(handler); } startProfiling() { this.handler.startProfiling(); } endProfiling() { this.handler.endProfiling(); } get inputNames() { return this.handler.inputNames; } get outputNames() { return this.handler.outputNames; } get inputMetadata() { return this.handler.inputMetadata; } get outputMetadata() { return this.handler.outputMetadata; } }; exports2.InferenceSession = InferenceSession; } }); // node_modules/onnxruntime-web/node_modules/onnxruntime-common/dist/cjs/inference-session.js var require_inference_session = __commonJS2({ "node_modules/onnxruntime-web/node_modules/onnxruntime-common/dist/cjs/inference-session.js"(exports2) { "use strict"; Object.defineProperty(exports2, "__esModule", { value: true }); exports2.InferenceSession = void 0; var inference_session_impl_js_1 = require_inference_session_impl(); exports2.InferenceSession = inference_session_impl_js_1.InferenceSession; } }); // node_modules/onnxruntime-web/node_modules/onnxruntime-common/dist/cjs/tensor-conversion.js var require_tensor_conversion = __commonJS2({ "node_modules/onnxruntime-web/node_modules/onnxruntime-common/dist/cjs/tensor-conversion.js"(exports2) { "use strict"; Object.defineProperty(exports2, "__esModule", { value: true }); } }); // node_modules/onnxruntime-web/node_modules/onnxruntime-common/dist/cjs/tensor-factory.js var require_tensor_factory = __commonJS2({ "node_modules/onnxruntime-web/node_modules/onnxruntime-common/dist/cjs/tensor-factory.js"(exports2) { "use strict"; Object.defineProperty(exports2, "__esModule", { value: true }); } }); // node_modules/onnxruntime-web/node_modules/onnxruntime-common/dist/cjs/onnx-model.js var require_onnx_model = __commonJS2({ "node_modules/onnxruntime-web/node_modules/onnxruntime-common/dist/cjs/onnx-model.js"(exports2) { "use strict"; Object.defineProperty(exports2, "__esModule", { value: true }); } }); // node_modules/onnxruntime-web/node_modules/onnxruntime-common/dist/cjs/onnx-value.js var require_onnx_value = __commonJS2({ "node_modules/onnxruntime-web/node_modules/onnxruntime-common/dist/cjs/onnx-value.js"(exports2) { "use strict"; Object.defineProperty(exports2, "__esModule", { value: true }); } }); // node_modules/onnxruntime-web/node_modules/onnxruntime-common/dist/cjs/index.js var require_cjs = __commonJS2({ "node_modules/onnxruntime-web/node_modules/onnxruntime-common/dist/cjs/index.js"(exports2) { "use strict"; var __createBinding = exports2 && exports2.__createBinding || (Object.create ? function(o, m, k, k2) { if (k2 === void 0) k2 = k; var desc = Object.getOwnPropertyDescriptor(m, k); if (!desc || ("get" in desc ? !m.__esModule : desc.writable || desc.configurable)) { desc = { enumerable: true, get: function() { return m[k]; } }; } Object.defineProperty(o, k2, desc); } : function(o, m, k, k2) { if (k2 === void 0) k2 = k; o[k2] = m[k]; }); var __exportStar = exports2 && exports2.__exportStar || function(m, exports3) { for (var p in m) if (p !== "default" && !Object.prototype.hasOwnProperty.call(exports3, p)) __createBinding(exports3, m, p); }; Object.defineProperty(exports2, "__esModule", { value: true }); __exportStar(require_backend(), exports2); __exportStar(require_env(), exports2); __exportStar(require_inference_session(), exports2); __exportStar(require_tensor(), exports2); __exportStar(require_tensor_conversion(), exports2); __exportStar(require_tensor_factory(), exports2); __exportStar(require_trace(), exports2); __exportStar(require_onnx_model(), exports2); __exportStar(require_onnx_value(), exports2); } }); // node_modules/onnxruntime-web/dist/ort.node.min.js var require_ort_node_min = __commonJS2({ "node_modules/onnxruntime-web/dist/ort.node.min.js"(exports2, module2) { "use strict"; var Et = Object.create; var ue = Object.defineProperty; var St = Object.getOwnPropertyDescriptor; var ht = Object.getOwnPropertyNames; var Ot = Object.getPrototypeOf, It = Object.prototype.hasOwnProperty; var C = (e, t) => () => (e && (t = e(e = 0)), t); var xe = (e, t) => { for (var n in t) ue(e, n, { get: t[n], enumerable: true }); }, ie = (e, t, n, o) => { if (t && typeof t == "object" || typeof t == "function") for (let r of ht(t)) !It.call(e, r) && r !== n && ue(e, r, { get: () => t[r], enumerable: !(o = St(t, r)) || o.enumerable }); return e; }, G = (e, t, n) => (ie(e, t, "default"), n && ie(n, t, "default")), Tt = (e, t, n) => (n = e != null ? 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[]) if ((typeof y == "string" ? y : y.name) === "webnn") { if (r.shouldTransferToMLTensor = false, typeof y != "string") { let B = y, D = B?.context, _ = B?.gpuDevice, ee = B?.deviceType, J = B?.powerPreference; D ? r.currentContext = D : _ ? r.currentContext = await r.webnnCreateMLContext(_) : r.currentContext = await r.webnnCreateMLContext({ deviceType: ee, powerPreference: J }); } else r.currentContext = await r.webnnCreateMLContext(); break; } a = await r._OrtCreateSession(n, o, s), r.webgpuOnCreateSession?.(a), a === 0 && g("Can't create a session."), r.jsepOnCreateSession?.(), r.currentContext && (r.webnnRegisterMLContext(a, r.currentContext), r.currentContext = void 0, r.shouldTransferToMLTensor = true); let [l, c] = Rt(a), p = !!t?.enableGraphCapture, S = [], h = [], v = [], m = [], b = []; for (let y = 0; y < l; y++) { let [O, B, D] = Ye(a, y); O === 0 && g("Can't get an input name."), f.push(O); let _ = r.UTF8ToString(O); S.push(_), v.push(B === 0 ? { name: _, isTensor: false } : { name: _, isTensor: true, type: de(B), shape: D }); } for (let y = 0; y < c; y++) { let [O, B, D] = Ye(a, y + l); O === 0 && g("Can't get an output name."), w.push(O); let _ = r.UTF8ToString(O); h.push(_), m.push(B === 0 ? { name: _, isTensor: false } : { name: _, isTensor: true, type: de(B), shape: D }); } return Q.set(a, [a, f, w, null, p, false]), [a, S, h, v, m]; } catch (l) { throw f.forEach((c) => r._OrtFree(c)), w.forEach((c) => r._OrtFree(c)), i !== 0 && r._OrtReleaseBinding(i) !== 0 && g("Can't release IO binding."), a !== 0 && r._OrtReleaseSession(a) !== 0 && g("Can't release session."), l; } finally { r._free(n), s !== 0 && r._OrtReleaseSessionOptions(s) !== 0 && g("Can't release session options."), u.forEach((l) => r._free(l)), r.unmountExternalData?.(); } }, et = (e) => { let t = E(), n = Q.get(e); if (!n) throw new Error(`cannot release session. invalid session id: ${e}`); let [o, r, a, s, i] = n; s && (i && t._OrtClearBoundOutputs(s.handle) !== 0 && g("Can't clear bound outputs."), t._OrtReleaseBinding(s.handle) !== 0 && g("Can't release IO binding.")), t.jsepOnReleaseSession?.(e), t.webnnOnReleaseSession?.(e), t.webgpuOnReleaseSession?.(e), r.forEach((u) => t._OrtFree(u)), a.forEach((u) => t._OrtFree(u)), t._OrtReleaseSession(o) !== 0 && g("Can't release session."), Q.delete(e); }, Ze = async (e, t, n, o, r, a, s = false) => { if (!e) { t.push(0); return; } let i = E(), u = i.PTR_SIZE, f = e[0], w = e[1], l = e[3], c = l, p, S; if (f === "string" && (l === "gpu-buffer" || l === "ml-tensor")) throw new Error("String tensor is not supported on GPU."); if (s && l !== "gpu-buffer") throw new Error(`External buffer must be provided for input/output index ${a} when enableGraphCapture is true.`); if (l === "gpu-buffer") { let m = e[2].gpuBuffer; S = X(Z(f), w); { let b = i.jsepRegisterBuffer; if (!b) throw new Error('Tensor location "gpu-buffer" is not supported without using WebGPU.'); p = b(o, a, m, S); } } else if (l === "ml-tensor") { let m = e[2].mlTensor; S = X(Z(f), w); let b = i.webnnRegisterMLTensor; if (!b) throw new Error('Tensor location "ml-tensor" is not supported without using WebNN.'); p = b(o, m, Z(f), w); } else { let m = e[2]; if (Array.isArray(m)) { S = u * m.length, p = i._malloc(S), n.push(p); for (let b = 0; b < m.length; b++) { if (typeof m[b] != "string") throw new TypeError(`tensor data at index ${b} is not a string`); i.setValue(p + b * u, A(m[b], n), "*"); } } else { let b = i.webnnIsGraphInput, M = i.webnnIsGraphOutput; if (f !== "string" && b && M) { let y = i.UTF8ToString(r); if (b(o, y) || M(o, y)) { let O = Z(f); S = X(O, w), c = "ml-tensor"; let B = i.webnnCreateTemporaryTensor, D = i.webnnUploadTensor; if (!B || !D) throw new Error('Tensor location "ml-tensor" is not supported without using WebNN.'); let _ = await B(o, O, w); D(_, new Uint8Array(m.buffer, m.byteOffset, m.byteLength)), p = _; } else S = m.byteLength, p = i._malloc(S), n.push(p), i.HEAPU8.set(new Uint8Array(m.buffer, m.byteOffset, S), p); } else S = m.byteLength, p = i._malloc(S), n.push(p), i.HEAPU8.set(new Uint8Array(m.buffer, m.byteOffset, S), p); } } let h = i.stackSave(), v = i.stackAlloc(4 * w.length); try { w.forEach((b, M) => i.setValue(v + M * u, b, u === 4 ? "i32" : "i64")); let m = i._OrtCreateTensor(Z(f), p, S, v, w.length, qe(c)); m === 0 && g(`Can't create tensor for input/output. session=${o}, index=${a}.`), t.push(m); } finally { i.stackRestore(h); } }, tt = async (e, t, n, o, r, a) => { let s = E(), i = s.PTR_SIZE, u = Q.get(e); if (!u) throw new Error(`cannot run inference. invalid session id: ${e}`); let f = u[0], w = u[1], l = u[2], c = u[3], p = u[4], S = u[5], h = t.length, v = o.length, m = 0, b = [], M = [], y = [], O = [], B = [], D = s.stackSave(), _ = s.stackAlloc(h * i), ee = s.stackAlloc(h * i), J = s.stackAlloc(v * i), Pe = s.stackAlloc(v * i); try { [m, b] = je(a), (0, K.TRACE_EVENT_BEGIN)("wasm prepareInputOutputTensor"); for (let d = 0; d < h; d++) await Ze(n[d], M, O, e, w[t[d]], t[d], p); for (let d = 0; d < v; d++) await Ze(r[d], y, O, e, l[o[d]], h + o[d], p); (0, K.TRACE_EVENT_END)("wasm prepareInputOutputTensor"); for (let d = 0; d < h; d++) s.setValue(_ + d * i, M[d], "*"), s.setValue(ee + d * i, w[t[d]], "*"); for (let d = 0; d < v; d++) s.setValue(J + d * i, y[d], "*"), s.setValue(Pe + d * i, l[o[d]], "*"); s.jsepOnRunStart?.(f), s.webnnOnRunStart?.(f); let x; x = await s._OrtRun(f, ee, _, h, Pe, v, J, m), x !== 0 && g("failed to call OrtRun()."); let N = [], Ue = []; (0, K.TRACE_EVENT_BEGIN)("wasm ProcessOutputTensor"); for (let d = 0; d < v; d++) { let W = Number(s.getValue(J + d * i, "*")); if (W === y[d] || B.includes(y[d])) { N.push(r[d]), W !== y[d] && s._OrtReleaseTensor(W) !== 0 && g("Can't release tensor."); continue; } let ve = s.stackSave(), F = s.stackAlloc(4 * i), q = false, T, P = 0; try { s._OrtGetTensorData(W, F, F + i, F + 2 * i, F + 3 * i) !== 0 && g(`Can't access output tensor data on index ${d}.`); let Ee = i === 4 ? "i32" : "i64", se = Number(s.getValue(F, Ee)); P = s.getValue(F + i, "*"); let De = s.getValue(F + i * 2, "*"), yt = Number(s.getValue(F + i * 3, Ee)), j = []; for (let L = 0; L < yt; L++) j.push(Number(s.getValue(De + L * i, Ee))); s._OrtFree(De) !== 0 && g("Can't free memory for tensor dims."); let $ = j.reduce((L, I) => L * I, 1); T = de(se); let te = c?.outputPreferredLocations[o[d]]; if (T === "string") { if (te === "gpu-buffer" || te === "ml-tensor") throw new Error("String tensor is not supported on GPU."); let L = []; for (let I = 0; I < $; I++) { let z = s.getValue(P + I * i, "*"), ae = s.getValue(P + (I + 1) * i, "*"), Ae = I === $ - 1 ? void 0 : ae - z; L.push(s.UTF8ToString(z, Ae)); } N.push([T, j, L, "cpu"]); } else if (te === "gpu-buffer" && $ > 0) { let L = s.jsepGetBuffer; if (!L) throw new Error('preferredLocation "gpu-buffer" is not supported without using WebGPU.'); let I = L(P), z = X(se, $); if (z === void 0 || !me(T)) throw new Error(`Unsupported data type: ${T}`); q = true, N.push([T, j, { gpuBuffer: I, download: s.jsepCreateDownloader(I, z, T), dispose: () => { s._OrtReleaseTensor(W) !== 0 && g("Can't release tensor."); } }, "gpu-buffer"]); } else if (te === "ml-tensor" && $ > 0) { let L = s.webnnEnsureTensor, I = s.webnnIsGraphInputOutputTypeSupported; if (!L || !I) throw new Error('preferredLocation "ml-tensor" is not supported without using WebNN.'); if (X(se, $) === void 0 || !be(T)) throw new Error(`Unsupported data type: ${T}`); if (!I(e, T, false)) throw new Error(`preferredLocation "ml-tensor" for ${T} output is not supported by current WebNN Context.`); let ae = await L(e, P, se, j, false); q = true, N.push([T, j, { mlTensor: ae, download: s.webnnCreateMLTensorDownloader(P, T), dispose: () => { s.webnnReleaseTensorId(P), s._OrtReleaseTensor(W); } }, "ml-tensor"]); } else if (te === "ml-tensor-cpu-output" && $ > 0) { let L = s.webnnCreateMLTensorDownloader(P, T)(), I = N.length; q = true, Ue.push((async () => { let z = [I, await L]; return s.webnnReleaseTensorId(P), s._OrtReleaseTensor(W), z; })()), N.push([T, j, [], "cpu"]); } else { let L = Ve(T), I = new L($); new Uint8Array(I.buffer, I.byteOffset, I.byteLength).set(s.HEAPU8.subarray(P, P + I.byteLength)), N.push([T, j, I, "cpu"]); } } finally { s.stackRestore(ve), T === "string" && P && s._free(P), q || s._OrtReleaseTensor(W); } } c && !p && (s._OrtClearBoundOutputs(c.handle) !== 0 && g("Can't clear bound outputs."), Q.set(e, [f, w, l, c, p, false])); for (let [d, W] of await Promise.all(Ue)) N[d][2] = W; return (0, K.TRACE_EVENT_END)("wasm ProcessOutputTensor"), N; } finally { s.webnnOnRunEnd?.(f), s.stackRestore(D), M.forEach((x) => s._OrtReleaseTensor(x)), y.forEach((x) => s._OrtReleaseTensor(x)), O.forEach((x) => s._free(x)), m !== 0 && s._OrtReleaseRunOptions(m), b.forEach((x) => s._free(x)); } }, rt = (e) => { let t = E(), n = Q.get(e); if (!n) throw new Error("invalid session id"); let o = n[0], r = t._OrtEndProfiling(o); r === 0 && g("Can't get an profile file name."), t._OrtFree(r); }; }); var we, Be, ot, st, at, it, ut, ct, lt, ft, pt, _e = C(() => { "use strict"; we = require_cjs(); nt(); Y(); Se(); Be = false, ot = false, st = false, at = async () => { if (!ot) { if (Be) throw new Error("multiple calls to 'initWasm()' detected."); if (st) throw new Error("previous call to 'initWasm()' failed."); Be = true; try { await Ge(we.env.wasm), await Xe(we.env), ot = true; } catch (e) { throw st = true, e; } finally { Be = false; } } }, it = async (e) => { await Ke(we.env, e); }, ut = async (e) => Le(e), ct = async (e, t) => Qe(e, t), lt = async (e) => { et(e); }, ft = async (e, t, n, o, r, a) => tt(e, t, n, o, r, a), pt = async (e) => { rt(e); }; }); var k, dt, Gt, ge, mt = C(() => { "use strict"; k = require_cjs(); _e(); Ie(); ce(); Te(); dt = (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()}`); } }, Gt = (e) => { switch (e[3]) { case "cpu": return new k.Tensor(e[0], e[2], e[1]); case "gpu-buffer": { let t = e[0]; if (!me(t)) throw new Error(`not supported data type: ${t} for deserializing GPU tensor`); let { gpuBuffer: n, download: o, dispose: r } = e[2]; return k.Tensor.fromGpuBuffer(n, { dataType: t, dims: e[1], download: o, dispose: r }); } case "ml-tensor": { let t = e[0]; if (!be(t)) throw new Error(`not supported data type: ${t} for deserializing MLTensor tensor`); let { mlTensor: n, download: o, dispose: r } = e[2]; return k.Tensor.fromMLTensor(n, { dataType: t, dims: e[1], download: o, dispose: r }); } default: throw new Error(`invalid data location: ${e[3]}`); } }, ge = class { async fetchModelAndCopyToWasmMemory(t) { return ut(await ne(t)); } async loadModel(t, n) { (0, k.TRACE_FUNC_BEGIN)(); let o; typeof t == "string" ? H ? o = await ne(t) : o = await this.fetchModelAndCopyToWasmMemory(t) : o = t, [this.sessionId, this.inputNames, this.outputNames, this.inputMetadata, this.outputMetadata] = await ct(o, n), (0, k.TRACE_FUNC_END)(); } async dispose() { return lt(this.sessionId); } async run(t, n, o) { (0, k.TRACE_FUNC_BEGIN)(); let r = [], a = []; Object.entries(t).forEach((c) => { let p = c[0], S = c[1], h = this.inputNames.indexOf(p); if (h === -1) throw new Error(`invalid input '${p}'`); r.push(S), a.push(h); }); let s = [], i = []; Object.entries(n).forEach((c) => { let p = c[0], S = c[1], h = this.outputNames.indexOf(p); if (h === -1) throw new Error(`invalid output '${p}'`); s.push(S), i.push(h); }); let u = r.map((c, p) => dt(c, () => `input "${this.inputNames[a[p]]}"`)), f = s.map((c, p) => c ? dt(c, () => `output "${this.outputNames[i[p]]}"`) : null), w = await ft(this.sessionId, a, u, i, f, o), l = {}; for (let c = 0; c < w.length; c++) l[this.outputNames[i[c]]] = s[c] ?? Gt(w[c]); return (0, k.TRACE_FUNC_END)(), l; } startProfiling() { } endProfiling() { pt(this.sessionId); } }; }); var wt = {}; xe(wt, { OnnxruntimeWebAssemblyBackend: () => ye, initializeFlags: () => bt, wasmBackend: () => jt }); var U, bt, ye, jt, gt = C(() => { "use strict"; U = require_cjs(); _e(); mt(); bt = () => { (typeof U.env.wasm.initTimeout != "number" || U.env.wasm.initTimeout < 0) && (U.env.wasm.initTimeout = 0); let e = U.env.wasm.simd; if (typeof e != "boolean" && e !== void 0 && e !== "fixed" && e !== "relaxed" && (console.warn(`Property "env.wasm.simd" is set to unknown value "${e}". Reset it to \`false\` and ignore SIMD feature checking.`), U.env.wasm.simd = false), typeof U.env.wasm.proxy != "boolean" && (U.env.wasm.proxy = false), typeof U.env.wasm.trace != "boolean" && (U.env.wasm.trace = false), typeof U.env.wasm.numThreads != "number" || !Number.isInteger(U.env.wasm.numThreads) || U.env.wasm.numThreads <= 0) if (typeof self < "u" && !self.crossOriginIsolated) U.env.wasm.numThreads = 1; else { let t = typeof navigator > "u" ? require("os").cpus().length : navigator.hardwareConcurrency; U.env.wasm.numThreads = Math.min(4, Math.ceil((t || 1) / 2)); } }, ye = class { async init(t) { bt(), await at(), await it(t); } async createInferenceSessionHandler(t, n) { let o = new ge(); return await o.loadModel(t, n), o; } }, jt = new ye(); }); var R = {}; xe(R, { default: () => zt }); module2.exports = Ce(R); G(R, require_cjs(), module2.exports); var $t = Tt(require_cjs()), oe = require_cjs(); var Me = "1.26.0-dev.20260416-b7804b056c"; var zt = $t; { let e = (gt(), Ce(wt)).wasmBackend; (0, oe.registerBackend)("cpu", e, 10), (0, oe.registerBackend)("wasm", e, 10); } Object.defineProperty(oe.env.versions, "web", { value: Me, enumerable: true }); } }); // node_modules/onnxruntime-common/dist/cjs/backend-impl.js var require_backend_impl2 = __commonJS2({ "node_modules/onnxruntime-common/dist/cjs/backend-impl.js"(exports2) { "use strict"; Object.defineProperty(exports2, "__esModule", { value: true }); exports2.resolveBackendAndExecutionProviders = exports2.registerBackend = void 0; var backends = /* @__PURE__ */ new Map(); var backendsSortedByPriority = []; var registerBackend = (name, backend, priority) => { if (backend && typeof backend.init === "function" && typeof backend.createInferenceSessionHandler === "function") { const currentBackend = backends.get(name); if (currentBackend === void 0) { backends.set(name, { backend, priority }); } else if (currentBackend.priority > priority) { return; } else if (currentBackend.priority === priority) { if (currentBackend.backend !== backend) { throw new Error(`cannot register backend "${name}" using priority ${priority}`); } } if (priority >= 0) { const i = backendsSortedByPriority.indexOf(name); if (i !== -1) { backendsSortedByPriority.splice(i, 1); } for (let i2 = 0; i2 < backendsSortedByPriority.length; i2++) { if (backends.get(backendsSortedByPriority[i2]).priority <= priority) { backendsSortedByPriority.splice(i2, 0, name); return; } } backendsSortedByPriority.push(name); } return; } throw new TypeError("not a valid backend"); }; exports2.registerBackend = registerBackend; var tryResolveAndInitializeBackend = async (backendName) => { const backendInfo = backends.get(backendName); if (!backendInfo) { return "backend not found."; } if (backendInfo.initialized) { return backendInfo.backend; } else if (backendInfo.aborted) { return backendInfo.error; } else { const isInitializing = !!backendInfo.initPromise; try { if (!isInitializing) { backendInfo.initPromise = backendInfo.backend.init(backendName); } await backendInfo.initPromise; backendInfo.initialized = true; return backendInfo.backend; } catch (e) { if (!isInitializing) { backendInfo.error = `${e}`; backendInfo.aborted = true; } return backendInfo.error; } finally { delete backendInfo.initPromise; } } }; var resolveBackendAndExecutionProviders = async (options) => { const eps = options.executionProviders || []; const backendHints = eps.map((i) => typeof i === "string" ? i : i.name); const backendNames = backendHints.length === 0 ? backendsSortedByPriority : backendHints; let backend; const errors = []; const availableBackendNames = /* @__PURE__ */ new Set(); for (const backendName of backendNames) { const resolveResult = await tryResolveAndInitializeBackend(backendName); if (typeof resolveResult === "string") { errors.push({ name: backendName, err: resolveResult }); } else { if (!backend) { backend = resolveResult; } if (backend === resolveResult) { availableBackendNames.add(backendName); } } } if (!backend) { throw new Error(`no available backend found. ERR: ${errors.map((e) => `[${e.name}] ${e.err}`).join(", ")}`); } for (const { name, err } of errors) { if (backendHints.includes(name)) { console.warn(`removing requested execution provider "${name}" from session options because it is not available: ${err}`); } } const filteredEps = eps.filter((i) => availableBackendNames.has(typeof i === "string" ? i : i.name)); return [ backend, new Proxy(options, { get: (target, prop) => { if (prop === "executionProviders") { return filteredEps; } return Reflect.get(target, prop); } }) ]; }; exports2.resolveBackendAndExecutionProviders = resolveBackendAndExecutionProviders; } }); // node_modules/onnxruntime-common/dist/cjs/backend.js var require_backend2 = __commonJS2({ "node_modules/onnxruntime-common/dist/cjs/backend.js"(exports2) { "use strict"; Object.defineProperty(exports2, "__esModule", { value: true }); exports2.registerBackend = void 0; var backend_impl_js_1 = require_backend_impl2(); Object.defineProperty(exports2, "registerBackend", { enumerable: true, get: function() { return backend_impl_js_1.registerBackend; } }); } }); // node_modules/onnxruntime-common/dist/cjs/version.js var require_version2 = __commonJS2({ "node_modules/onnxruntime-common/dist/cjs/version.js"(exports2) { "use strict"; Object.defineProperty(exports2, "__esModule", { value: true }); exports2.version = void 0; exports2.version = "1.24.3"; } }); // node_modules/onnxruntime-common/dist/cjs/env-impl.js var require_env_impl2 = __commonJS2({ "node_modules/onnxruntime-common/dist/cjs/env-impl.js"(exports2) { "use strict"; Object.defineProperty(exports2, "__esModule", { value: true }); exports2.env = void 0; var version_js_1 = require_version2(); var logLevelValue = "warning"; exports2.env = { wasm: {}, webgl: {}, webgpu: {}, versions: { common: version_js_1.version }, set logLevel(value) { if (value === void 0) { return; } if (typeof value !== "string" || ["verbose", "info", "warning", "error", "fatal"].indexOf(value) === -1) { throw new Error(`Unsupported logging level: ${value}`); } logLevelValue = value; }, get logLevel() { return logLevelValue; } }; Object.defineProperty(exports2.env, "logLevel", { enumerable: true }); } }); // node_modules/onnxruntime-common/dist/cjs/env.js var require_env2 = __commonJS2({ "node_modules/onnxruntime-common/dist/cjs/env.js"(exports2) { "use strict"; Object.defineProperty(exports2, "__esModule", { value: true }); exports2.env = void 0; var env_impl_js_1 = require_env_impl2(); exports2.env = env_impl_js_1.env; } }); // node_modules/onnxruntime-common/dist/cjs/tensor-conversion-impl.js var require_tensor_conversion_impl2 = __commonJS2({ "node_modules/onnxruntime-common/dist/cjs/tensor-conversion-impl.js"(exports2) { "use strict"; Object.defineProperty(exports2, "__esModule", { value: true }); exports2.tensorToImageData = exports2.tensorToDataURL = void 0; var tensorToDataURL = (tensor, options) => { const canvas = typeof document !== "undefined" ? document.createElement("canvas") : new OffscreenCanvas(1, 1); canvas.width = tensor.dims[3]; canvas.height = tensor.dims[2]; const pixels2DContext = canvas.getContext("2d"); if (pixels2DContext != null) { let width; let height; if (options?.tensorLayout !== void 0 && options.tensorLayout === "NHWC") { width = tensor.dims[2]; height = tensor.dims[3]; } else { width = tensor.dims[3]; height = tensor.dims[2]; } const inputformat = options?.format !== void 0 ? options.format : "RGB"; const norm = options?.norm; let normMean; let normBias; if (norm === void 0 || norm.mean === void 0) { normMean = [255, 255, 255, 255]; } else { if (typeof norm.mean === "number") { normMean = [norm.mean, norm.mean, norm.mean, norm.mean]; } else { normMean = [norm.mean[0], norm.mean[1], norm.mean[2], 0]; if (norm.mean[3] !== void 0) { normMean[3] = norm.mean[3]; } } } if (norm === void 0 || norm.bias === void 0) { normBias = [0, 0, 0, 0]; } else { if (typeof norm.bias === "number") { normBias = [norm.bias, norm.bias, norm.bias, norm.bias]; } else { normBias = [norm.bias[0], norm.bias[1], norm.bias[2], 0]; if (norm.bias[3] !== void 0) { normBias[3] = norm.bias[3]; } } } const stride = height * width; let rTensorPointer = 0, gTensorPointer = stride, bTensorPointer = stride * 2, aTensorPointer = -1; if (inputformat === "RGBA") { rTensorPointer = 0; gTensorPointer = stride; bTensorPointer = stride * 2; aTensorPointer = stride * 3; } else if (inputformat === "RGB") { rTensorPointer = 0; gTensorPointer = stride; bTensorPointer = stride * 2; } else if (inputformat === "RBG") { rTensorPointer = 0; bTensorPointer = stride; gTensorPointer = stride * 2; } for (let i = 0; i < height; i++) { for (let j = 0; j < width; j++) { const R = (tensor.data[rTensorPointer++] - normBias[0]) * normMean[0]; const G = (tensor.data[gTensorPointer++] - normBias[1]) * normMean[1]; const B = (tensor.data[bTensorPointer++] - normBias[2]) * normMean[2]; const A = aTensorPointer === -1 ? 255 : (tensor.data[aTensorPointer++] - normBias[3]) * normMean[3]; pixels2DContext.fillStyle = "rgba(" + R + "," + G + "," + B + "," + A + ")"; pixels2DContext.fillRect(j, i, 1, 1); } } if ("toDataURL" in canvas) { return canvas.toDataURL(); } else { throw new Error("toDataURL is not supported"); } } else { throw new Error("Can not access image data"); } }; exports2.tensorToDataURL = tensorToDataURL; var tensorToImageData = (tensor, options) => { const pixels2DContext = typeof document !== "undefined" ? document.createElement("canvas").getContext("2d") : new OffscreenCanvas(1, 1).getContext("2d"); let image; if (pixels2DContext != null) { let width; let height; let channels; if (options?.tensorLayout !== void 0 && options.tensorLayout === "NHWC") { width = tensor.dims[2]; height = tensor.dims[1]; channels = tensor.dims[3]; } else { width = tensor.dims[3]; height = tensor.dims[2]; channels = tensor.dims[1]; } const inputformat = options !== void 0 ? options.format !== void 0 ? options.format : "RGB" : "RGB"; const norm = options?.norm; let normMean; let normBias; if (norm === void 0 || norm.mean === void 0) { normMean = [255, 255, 255, 255]; } else { if (typeof norm.mean === "number") { normMean = [norm.mean, norm.mean, norm.mean, norm.mean]; } else { normMean = [norm.mean[0], norm.mean[1], norm.mean[2], 255]; if (norm.mean[3] !== void 0) { normMean[3] = norm.mean[3]; } } } if (norm === void 0 || norm.bias === void 0) { normBias = [0, 0, 0, 0]; } else { if (typeof norm.bias === "number") { normBias = [norm.bias, norm.bias, norm.bias, norm.bias]; } else { normBias = [norm.bias[0], norm.bias[1], norm.bias[2], 0]; if (norm.bias[3] !== void 0) { normBias[3] = norm.bias[3]; } } } const stride = height * width; if (options !== void 0) { if (options.format !== void 0 && channels === 4 && options.format !== "RGBA" || channels === 3 && options.format !== "RGB" && options.format !== "BGR") { throw new Error("Tensor format doesn't match input tensor dims"); } } const step = 4; let rImagePointer = 0, gImagePointer = 1, bImagePointer = 2, aImagePointer = 3; let rTensorPointer = 0, gTensorPointer = stride, bTensorPointer = stride * 2, aTensorPointer = -1; if (inputformat === "RGBA") { rTensorPointer = 0; gTensorPointer = stride; bTensorPointer = stride * 2; aTensorPointer = stride * 3; } else if (inputformat === "RGB") { rTensorPointer = 0; gTensorPointer = stride; bTensorPointer = stride * 2; } else if (inputformat === "RBG") { rTensorPointer = 0; bTensorPointer = stride; gTensorPointer = stride * 2; } image = pixels2DContext.createImageData(width, height); for (let i = 0; i < height * width; rImagePointer += step, gImagePointer += step, bImagePointer += step, aImagePointer += step, i++) { image.data[rImagePointer] = (tensor.data[rTensorPointer++] - normBias[0]) * normMean[0]; image.data[gImagePointer] = (tensor.data[gTensorPointer++] - normBias[1]) * normMean[1]; image.data[bImagePointer] = (tensor.data[bTensorPointer++] - normBias[2]) * normMean[2]; image.data[aImagePointer] = aTensorPointer === -1 ? 255 : (tensor.data[aTensorPointer++] - normBias[3]) * normMean[3]; } } else { throw new Error("Can not access image data"); } return image; }; exports2.tensorToImageData = tensorToImageData; } }); // node_modules/onnxruntime-common/dist/cjs/tensor-factory-impl.js var require_tensor_factory_impl2 = __commonJS2({ "node_modules/onnxruntime-common/dist/cjs/tensor-factory-impl.js"(exports2) { "use strict"; Object.defineProperty(exports2, "__esModule", { value: true }); exports2.tensorFromPinnedBuffer = exports2.tensorFromMLTensor = exports2.tensorFromGpuBuffer = exports2.tensorFromTexture = exports2.tensorFromImage = exports2.bufferToTensor = void 0; var tensor_impl_js_1 = require_tensor_impl2(); var bufferToTensor = (buffer, options) => { if (buffer === void 0) { throw new Error("Image buffer must be defined"); } if (options.height === void 0 || options.width === void 0) { throw new Error("Image height and width must be defined"); } if (options.tensorLayout === "NHWC") { throw new Error("NHWC Tensor layout is not supported yet"); } const { height, width } = options; const norm = options.norm ?? { mean: 255, bias: 0 }; let normMean; let normBias; if (typeof norm.mean === "number") { normMean = [norm.mean, norm.mean, norm.mean, norm.mean]; } else { normMean = [norm.mean[0], norm.mean[1], norm.mean[2], norm.mean[3] ?? 255]; } if (typeof norm.bias === "number") { normBias = [norm.bias, norm.bias, norm.bias, norm.bias]; } else { normBias = [norm.bias[0], norm.bias[1], norm.bias[2], norm.bias[3] ?? 0]; } const inputformat = options.format !== void 0 ? options.format : "RGBA"; const outputformat = options.tensorFormat !== void 0 ? options.tensorFormat !== void 0 ? options.tensorFormat : "RGB" : "RGB"; const stride = height * width; const float32Data = outputformat === "RGBA" ? new Float32Array(stride * 4) : new Float32Array(stride * 3); let step = 4, rImagePointer = 0, gImagePointer = 1, bImagePointer = 2, aImagePointer = 3; let rTensorPointer = 0, gTensorPointer = stride, bTensorPointer = stride * 2, aTensorPointer = -1; if (inputformat === "RGB") { step = 3; rImagePointer = 0; gImagePointer = 1; bImagePointer = 2; aImagePointer = -1; } if (outputformat === "RGBA") { aTensorPointer = stride * 3; } else if (outputformat === "RBG") { rTensorPointer = 0; bTensorPointer = stride; gTensorPointer = stride * 2; } else if (outputformat === "BGR") { bTensorPointer = 0; gTensorPointer = stride; rTensorPointer = stride * 2; } for (let i = 0; i < stride; i++, rImagePointer += step, bImagePointer += step, gImagePointer += step, aImagePointer += step) { float32Data[rTensorPointer++] = (buffer[rImagePointer] + normBias[0]) / normMean[0]; float32Data[gTensorPointer++] = (buffer[gImagePointer] + normBias[1]) / normMean[1]; float32Data[bTensorPointer++] = (buffer[bImagePointer] + normBias[2]) / normMean[2]; if (aTensorPointer !== -1 && aImagePointer !== -1) { float32Data[aTensorPointer++] = (buffer[aImagePointer] + normBias[3]) / normMean[3]; } } const outputTensor = outputformat === "RGBA" ? new tensor_impl_js_1.Tensor("float32", float32Data, [1, 4, height, width]) : new tensor_impl_js_1.Tensor("float32", float32Data, [1, 3, height, width]); return outputTensor; }; exports2.bufferToTensor = bufferToTensor; var tensorFromImage = async (image, options) => { const isHTMLImageEle = typeof HTMLImageElement !== "undefined" && image instanceof HTMLImageElement; const isImageDataEle = typeof ImageData !== "undefined" && image instanceof ImageData; const isImageBitmap = typeof ImageBitmap !== "undefined" && image instanceof ImageBitmap; const isString = typeof image === "string"; let data; let bufferToTensorOptions = options ?? {}; const createCanvas = () => { if (typeof document !== "undefined") { return document.createElement("canvas"); } else if (typeof OffscreenCanvas !== "undefined") { return new OffscreenCanvas(1, 1); } else { throw new Error("Canvas is not supported"); } }; const createCanvasContext = (canvas) => { if (typeof HTMLCanvasElement !== "undefined" && canvas instanceof HTMLCanvasElement) { return canvas.getContext("2d"); } else if (canvas instanceof OffscreenCanvas) { return canvas.getContext("2d"); } else { return null; } }; if (isHTMLImageEle) { const canvas = createCanvas(); canvas.width = image.width; canvas.height = image.height; const pixels2DContext = createCanvasContext(canvas); if (pixels2DContext != null) { let height = image.height; let width = image.width; if (options !== void 0 && options.resizedHeight !== void 0 && options.resizedWidth !== void 0) { height = options.resizedHeight; width = options.resizedWidth; } if (options !== void 0) { bufferToTensorOptions = options; if (options.tensorFormat !== void 0) { throw new Error("Image input config format must be RGBA for HTMLImageElement"); } else { bufferToTensorOptions.tensorFormat = "RGBA"; } bufferToTensorOptions.height = height; bufferToTensorOptions.width = width; } else { bufferToTensorOptions.tensorFormat = "RGBA"; bufferToTensorOptions.height = height; bufferToTensorOptions.width = width; } pixels2DContext.drawImage(image, 0, 0); data = pixels2DContext.getImageData(0, 0, width, height).data; } else { throw new Error("Can not access image data"); } } else if (isImageDataEle) { let height; let width; if (options !== void 0 && options.resizedWidth !== void 0 && options.resizedHeight !== void 0) { height = options.resizedHeight; width = options.resizedWidth; } else { height = image.height; width = image.width; } if (options !== void 0) { bufferToTensorOptions = options; } bufferToTensorOptions.format = "RGBA"; bufferToTensorOptions.height = height; bufferToTensorOptions.width = width; if (options !== void 0) { const tempCanvas = createCanvas(); tempCanvas.width = width; tempCanvas.height = height; const pixels2DContext = createCanvasContext(tempCanvas); if (pixels2DContext != null) { pixels2DContext.putImageData(image, 0, 0); data = pixels2DContext.getImageData(0, 0, width, height).data; } else { throw new Error("Can not access image data"); } } else { data = image.data; } } else if (isImageBitmap) { if (options === void 0) { throw new Error("Please provide image config with format for Imagebitmap"); } const canvas = createCanvas(); canvas.width = image.width; canvas.height = image.height; const pixels2DContext = createCanvasContext(canvas); if (pixels2DContext != null) { const height = image.height; const width = image.width; pixels2DContext.drawImage(image, 0, 0, width, height); data = pixels2DContext.getImageData(0, 0, width, height).data; bufferToTensorOptions.height = height; bufferToTensorOptions.width = width; return (0, exports2.bufferToTensor)(data, bufferToTensorOptions); } else { throw new Error("Can not access image data"); } } else if (isString) { return new Promise((resolve, reject) => { const canvas = createCanvas(); const context = createCanvasContext(canvas); if (!image || !context) { return reject(); } const newImage = new Image(); newImage.crossOrigin = "Anonymous"; newImage.src = image; newImage.onload = () => { canvas.width = newImage.width; canvas.height = newImage.height; context.drawImage(newImage, 0, 0, canvas.width, canvas.height); const img = context.getImageData(0, 0, canvas.width, canvas.height); bufferToTensorOptions.height = canvas.height; bufferToTensorOptions.width = canvas.width; resolve((0, exports2.bufferToTensor)(img.data, bufferToTensorOptions)); }; }); } else { throw new Error("Input data provided is not supported - aborted tensor creation"); } if (data !== void 0) { return (0, exports2.bufferToTensor)(data, bufferToTensorOptions); } else { throw new Error("Input data provided is not supported - aborted tensor creation"); } }; exports2.tensorFromImage = tensorFromImage; var tensorFromTexture = (texture, options) => { const { width, height, download, dispose } = options; const dims = [1, height, width, 4]; return new tensor_impl_js_1.Tensor({ location: "texture", type: "float32", texture, dims, download, dispose }); }; exports2.tensorFromTexture = tensorFromTexture; var tensorFromGpuBuffer = (gpuBuffer, options) => { const { dataType, dims, download, dispose } = options; return new tensor_impl_js_1.Tensor({ location: "gpu-buffer", type: dataType ?? "float32", gpuBuffer, dims, download, dispose }); }; exports2.tensorFromGpuBuffer = tensorFromGpuBuffer; var tensorFromMLTensor = (mlTensor, options) => { const { dataType, dims, download, dispose } = options; return new tensor_impl_js_1.Tensor({ location: "ml-tensor", type: dataType ?? "float32", mlTensor, dims, download, dispose }); }; exports2.tensorFromMLTensor = tensorFromMLTensor; var tensorFromPinnedBuffer = (type, buffer, dims) => new tensor_impl_js_1.Tensor({ location: "cpu-pinned", type, data: buffer, dims: dims ?? [buffer.length] }); exports2.tensorFromPinnedBuffer = tensorFromPinnedBuffer; } }); // node_modules/onnxruntime-common/dist/cjs/tensor-impl-type-mapping.js var require_tensor_impl_type_mapping2 = __commonJS2({ "node_modules/onnxruntime-common/dist/cjs/tensor-impl-type-mapping.js"(exports2) { "use strict"; Object.defineProperty(exports2, "__esModule", { value: true }); exports2.checkTypedArray = exports2.NUMERIC_TENSOR_TYPEDARRAY_TO_TYPE_MAP = exports2.NUMERIC_TENSOR_TYPE_TO_TYPEDARRAY_MAP = void 0; exports2.NUMERIC_TENSOR_TYPE_TO_TYPEDARRAY_MAP = /* @__PURE__ */ new Map([ ["float32", Float32Array], ["uint8", Uint8Array], ["int8", Int8Array], ["uint16", Uint16Array], ["int16", Int16Array], ["int32", Int32Array], ["bool", Uint8Array], ["float64", Float64Array], ["uint32", Uint32Array], ["int4", Uint8Array], ["uint4", Uint8Array] ]); exports2.NUMERIC_TENSOR_TYPEDARRAY_TO_TYPE_MAP = /* @__PURE__ */ new Map([ [Float32Array, "float32"], [Uint8Array, "uint8"], [Int8Array, "int8"], [Uint16Array, "uint16"], [Int16Array, "int16"], [Int32Array, "int32"], [Float64Array, "float64"], [Uint32Array, "uint32"] ]); var isTypedArrayChecked = false; var checkTypedArray = () => { if (!isTypedArrayChecked) { isTypedArrayChecked = true; const isBigInt64ArrayAvailable = typeof BigInt64Array !== "undefined" && BigInt64Array.from; const isBigUint64ArrayAvailable = typeof BigUint64Array !== "undefined" && BigUint64Array.from; const Float16Array2 = globalThis.Float16Array; const isFloat16ArrayAvailable = typeof Float16Array2 !== "undefined" && Float16Array2.from; if (isBigInt64ArrayAvailable) { exports2.NUMERIC_TENSOR_TYPE_TO_TYPEDARRAY_MAP.set("int64", BigInt64Array); exports2.NUMERIC_TENSOR_TYPEDARRAY_TO_TYPE_MAP.set(BigInt64Array, "int64"); } if (isBigUint64ArrayAvailable) { exports2.NUMERIC_TENSOR_TYPE_TO_TYPEDARRAY_MAP.set("uint64", BigUint64Array); exports2.NUMERIC_TENSOR_TYPEDARRAY_TO_TYPE_MAP.set(BigUint64Array, "uint64"); } if (isFloat16ArrayAvailable) { exports2.NUMERIC_TENSOR_TYPE_TO_TYPEDARRAY_MAP.set("float16", Float16Array2); exports2.NUMERIC_TENSOR_TYPEDARRAY_TO_TYPE_MAP.set(Float16Array2, "float16"); } else { exports2.NUMERIC_TENSOR_TYPE_TO_TYPEDARRAY_MAP.set("float16", Uint16Array); } } }; exports2.checkTypedArray = checkTypedArray; } }); // node_modules/onnxruntime-common/dist/cjs/tensor-utils-impl.js var require_tensor_utils_impl2 = __commonJS2({ "node_modules/onnxruntime-common/dist/cjs/tensor-utils-impl.js"(exports2) { "use strict"; Object.defineProperty(exports2, "__esModule", { value: true }); exports2.tensorReshape = exports2.calculateSize = void 0; var tensor_impl_js_1 = require_tensor_impl2(); var calculateSize = (dims) => { let size = 1; for (let i = 0; i < dims.length; i++) { const dim = dims[i]; if (typeof dim !== "number" || !Number.isSafeInteger(dim)) { throw new TypeError(`dims[${i}] must be an integer, got: ${dim}`); } if (dim < 0) { throw new RangeError(`dims[${i}] must be a non-negative integer, got: ${dim}`); } size *= dim; } return size; }; exports2.calculateSize = calculateSize; var tensorReshape = (tensor, dims) => { switch (tensor.location) { case "cpu": return new tensor_impl_js_1.Tensor(tensor.type, tensor.data, dims); case "cpu-pinned": return new tensor_impl_js_1.Tensor({ location: "cpu-pinned", data: tensor.data, type: tensor.type, dims }); case "texture": return new tensor_impl_js_1.Tensor({ location: "texture", texture: tensor.texture, type: tensor.type, dims }); case "gpu-buffer": return new tensor_impl_js_1.Tensor({ location: "gpu-buffer", gpuBuffer: tensor.gpuBuffer, type: tensor.type, dims }); case "ml-tensor": return new tensor_impl_js_1.Tensor({ location: "ml-tensor", mlTensor: tensor.mlTensor, type: tensor.type, dims }); default: throw new Error(`tensorReshape: tensor location ${tensor.location} is not supported`); } }; exports2.tensorReshape = tensorReshape; } }); // node_modules/onnxruntime-common/dist/cjs/tensor-impl.js var require_tensor_impl2 = __commonJS2({ "node_modules/onnxruntime-common/dist/cjs/tensor-impl.js"(exports2) { "use strict"; Object.defineProperty(exports2, "__esModule", { value: true }); exports2.Tensor = void 0; var tensor_conversion_impl_js_1 = require_tensor_conversion_impl2(); var tensor_factory_impl_js_1 = require_tensor_factory_impl2(); var tensor_impl_type_mapping_js_1 = require_tensor_impl_type_mapping2(); var tensor_utils_impl_js_1 = require_tensor_utils_impl2(); var Tensor2 = class { /** * implementation. */ constructor(arg0, arg1, arg2) { (0, tensor_impl_type_mapping_js_1.checkTypedArray)(); let type; let dims; if (typeof arg0 === "object" && "location" in arg0) { this.dataLocation = arg0.location; type = arg0.type; dims = arg0.dims; switch (arg0.location) { case "cpu-pinned": { const expectedTypedArrayConstructor = tensor_impl_type_mapping_js_1.NUMERIC_TENSOR_TYPE_TO_TYPEDARRAY_MAP.get(type); if (!expectedTypedArrayConstructor) { throw new TypeError(`unsupported type "${type}" to create tensor from pinned buffer`); } if (!(arg0.data instanceof expectedTypedArrayConstructor)) { throw new TypeError(`buffer should be of type ${expectedTypedArrayConstructor.name}`); } this.cpuData = arg0.data; break; } case "texture": { if (type !== "float32") { throw new TypeError(`unsupported type "${type}" to create tensor from texture`); } this.gpuTextureData = arg0.texture; this.downloader = arg0.download; this.disposer = arg0.dispose; break; } case "gpu-buffer": { if (type !== "float32" && type !== "float16" && type !== "int32" && type !== "int64" && type !== "uint32" && type !== "uint8" && type !== "bool" && type !== "uint4" && type !== "int4") { throw new TypeError(`unsupported type "${type}" to create tensor from gpu buffer`); } this.gpuBufferData = arg0.gpuBuffer; this.downloader = arg0.download; this.disposer = arg0.dispose; break; } case "ml-tensor": { if (type !== "float32" && type !== "float16" && type !== "int32" && type !== "int64" && type !== "uint32" && type !== "uint64" && type !== "int8" && type !== "uint8" && type !== "bool" && type !== "uint4" && type !== "int4") { throw new TypeError(`unsupported type "${type}" to create tensor from MLTensor`); } this.mlTensorData = arg0.mlTensor; this.downloader = arg0.download; this.disposer = arg0.dispose; break; } default: throw new Error(`Tensor constructor: unsupported location '${this.dataLocation}'`); } } else { let data; let maybeDims; if (typeof arg0 === "string") { type = arg0; maybeDims = arg2; if (arg0 === "string") { if (!Array.isArray(arg1)) { throw new TypeError("A string tensor's data must be a string array."); } data = arg1; } else { const typedArrayConstructor = tensor_impl_type_mapping_js_1.NUMERIC_TENSOR_TYPE_TO_TYPEDARRAY_MAP.get(arg0); if (typedArrayConstructor === void 0) { throw new TypeError(`Unsupported tensor type: ${arg0}.`); } if (Array.isArray(arg1)) { if (arg0 === "float16" && typedArrayConstructor === Uint16Array || arg0 === "uint4" || arg0 === "int4") { throw new TypeError(`Creating a ${arg0} tensor from number array is not supported. Please use ${typedArrayConstructor.name} as data.`); } else if (arg0 === "uint64" || arg0 === "int64") { data = typedArrayConstructor.from(arg1, BigInt); } else { data = typedArrayConstructor.from(arg1); } } else if (arg1 instanceof typedArrayConstructor) { data = arg1; } else if (arg1 instanceof Uint8ClampedArray) { if (arg0 === "uint8") { data = Uint8Array.from(arg1); } else { throw new TypeError(`A Uint8ClampedArray tensor's data must be type of uint8`); } } else if (arg0 === "float16" && arg1 instanceof Uint16Array && typedArrayConstructor !== Uint16Array) { data = new globalThis.Float16Array(arg1.buffer, arg1.byteOffset, arg1.length); } else { throw new TypeError(`A ${type} tensor's data must be type of ${typedArrayConstructor}`); } } } else { maybeDims = arg1; if (Array.isArray(arg0)) { if (arg0.length === 0) { throw new TypeError("Tensor type cannot be inferred from an empty array."); } const firstElementType = typeof arg0[0]; if (firstElementType === "string") { type = "string"; data = arg0; } else if (firstElementType === "boolean") { type = "bool"; data = Uint8Array.from(arg0); } else { throw new TypeError(`Invalid element type of data array: ${firstElementType}.`); } } else if (arg0 instanceof Uint8ClampedArray) { type = "uint8"; data = Uint8Array.from(arg0); } else { const mappedType = tensor_impl_type_mapping_js_1.NUMERIC_TENSOR_TYPEDARRAY_TO_TYPE_MAP.get(arg0.constructor); if (mappedType === void 0) { throw new TypeError(`Unsupported type for tensor data: ${arg0.constructor}.`); } type = mappedType; data = arg0; } } if (maybeDims === void 0) { maybeDims = [data.length]; } else if (!Array.isArray(maybeDims)) { throw new TypeError("A tensor's dims must be a number array"); } dims = maybeDims; this.cpuData = data; this.dataLocation = "cpu"; } const size = (0, tensor_utils_impl_js_1.calculateSize)(dims); if (this.cpuData && size !== this.cpuData.length) { if ((type === "uint4" || type === "int4") && Math.ceil(size / 2) === this.cpuData.length) { } else { throw new Error(`Tensor's size(${size}) does not match data length(${this.cpuData.length}).`); } } this.type = type; this.dims = dims; this.size = size; } // #endregion // #region factory static async fromImage(image, options) { return (0, tensor_factory_impl_js_1.tensorFromImage)(image, options); } static fromTexture(texture, options) { return (0, tensor_factory_impl_js_1.tensorFromTexture)(texture, options); } static fromGpuBuffer(gpuBuffer, options) { return (0, tensor_factory_impl_js_1.tensorFromGpuBuffer)(gpuBuffer, options); } static fromMLTensor(mlTensor, options) { return (0, tensor_factory_impl_js_1.tensorFromMLTensor)(mlTensor, options); } static fromPinnedBuffer(type, buffer, dims) { return (0, tensor_factory_impl_js_1.tensorFromPinnedBuffer)(type, buffer, dims); } // #endregion // #region conversions toDataURL(options) { return (0, tensor_conversion_impl_js_1.tensorToDataURL)(this, options); } toImageData(options) { return (0, tensor_conversion_impl_js_1.tensorToImageData)(this, options); } // #endregion // #region properties get data() { this.ensureValid(); if (!this.cpuData) { throw new Error("The data is not on CPU. Use `getData()` to download GPU data to CPU, or use `texture` or `gpuBuffer` property to access the GPU data directly."); } return this.cpuData; } get location() { return this.dataLocation; } get texture() { this.ensureValid(); if (!this.gpuTextureData) { throw new Error("The data is not stored as a WebGL texture."); } return this.gpuTextureData; } get gpuBuffer() { this.ensureValid(); if (!this.gpuBufferData) { throw new Error("The data is not stored as a WebGPU buffer."); } return this.gpuBufferData; } get mlTensor() { this.ensureValid(); if (!this.mlTensorData) { throw new Error("The data is not stored as a WebNN MLTensor."); } return this.mlTensorData; } // #endregion // #region methods async getData(releaseData) { this.ensureValid(); switch (this.dataLocation) { case "cpu": case "cpu-pinned": return this.data; case "texture": case "gpu-buffer": case "ml-tensor": { if (!this.downloader) { throw new Error("The current tensor is not created with a specified data downloader."); } if (this.isDownloading) { throw new Error("The current tensor is being downloaded."); } try { this.isDownloading = true; const data = await this.downloader(); this.downloader = void 0; this.dataLocation = "cpu"; this.cpuData = data; if (releaseData && this.disposer) { this.disposer(); this.disposer = void 0; } return data; } finally { this.isDownloading = false; } } default: throw new Error(`cannot get data from location: ${this.dataLocation}`); } } dispose() { if (this.isDownloading) { throw new Error("The current tensor is being downloaded."); } if (this.disposer) { this.disposer(); this.disposer = void 0; } this.cpuData = void 0; this.gpuTextureData = void 0; this.gpuBufferData = void 0; this.mlTensorData = void 0; this.downloader = void 0; this.isDownloading = void 0; this.dataLocation = "none"; } // #endregion // #region tensor utilities ensureValid() { if (this.dataLocation === "none") { throw new Error("The tensor is disposed."); } } reshape(dims) { this.ensureValid(); if (this.downloader || this.disposer) { throw new Error("Cannot reshape a tensor that owns GPU resource."); } return (0, tensor_utils_impl_js_1.tensorReshape)(this, dims); } }; exports2.Tensor = Tensor2; } }); // node_modules/onnxruntime-common/dist/cjs/tensor.js var require_tensor2 = __commonJS2({ "node_modules/onnxruntime-common/dist/cjs/tensor.js"(exports2) { "use strict"; Object.defineProperty(exports2, "__esModule", { value: true }); exports2.Tensor = void 0; var tensor_impl_js_1 = require_tensor_impl2(); exports2.Tensor = tensor_impl_js_1.Tensor; } }); // node_modules/onnxruntime-common/dist/cjs/trace.js var require_trace2 = __commonJS2({ "node_modules/onnxruntime-common/dist/cjs/trace.js"(exports2) { "use strict"; Object.defineProperty(exports2, "__esModule", { value: true }); exports2.TRACE_EVENT_END = exports2.TRACE_EVENT_BEGIN = exports2.TRACE_FUNC_END = exports2.TRACE_FUNC_BEGIN = exports2.TRACE = void 0; var env_impl_js_1 = require_env_impl2(); var TRACE = (deviceType, label) => { if (typeof env_impl_js_1.env.trace === "undefined" ? !env_impl_js_1.env.wasm.trace : !env_impl_js_1.env.trace) { return; } console.timeStamp(`${deviceType}::ORT::${label}`); }; exports2.TRACE = TRACE; var TRACE_FUNC = (msg, extraMsg) => { const stack2 = new Error().stack?.split(/\r\n|\r|\n/g) || []; let hasTraceFunc = false; for (let i = 0; i < stack2.length; i++) { if (hasTraceFunc && !stack2[i].includes("TRACE_FUNC")) { let label = `FUNC_${msg}::${stack2[i].trim().split(" ")[1]}`; if (extraMsg) { label += `::${extraMsg}`; } (0, exports2.TRACE)("CPU", label); return; } if (stack2[i].includes("TRACE_FUNC")) { hasTraceFunc = true; } } }; var TRACE_FUNC_BEGIN = (extraMsg) => { if (typeof env_impl_js_1.env.trace === "undefined" ? !env_impl_js_1.env.wasm.trace : !env_impl_js_1.env.trace) { return; } TRACE_FUNC("BEGIN", extraMsg); }; exports2.TRACE_FUNC_BEGIN = TRACE_FUNC_BEGIN; var TRACE_FUNC_END = (extraMsg) => { if (typeof env_impl_js_1.env.trace === "undefined" ? !env_impl_js_1.env.wasm.trace : !env_impl_js_1.env.trace) { return; } TRACE_FUNC("END", extraMsg); }; exports2.TRACE_FUNC_END = TRACE_FUNC_END; var TRACE_EVENT_BEGIN = (extraMsg) => { if (typeof env_impl_js_1.env.trace === "undefined" ? !env_impl_js_1.env.wasm.trace : !env_impl_js_1.env.trace) { return; } console.time(`ORT::${extraMsg}`); }; exports2.TRACE_EVENT_BEGIN = TRACE_EVENT_BEGIN; var TRACE_EVENT_END = (extraMsg) => { if (typeof env_impl_js_1.env.trace === "undefined" ? !env_impl_js_1.env.wasm.trace : !env_impl_js_1.env.trace) { return; } console.timeEnd(`ORT::${extraMsg}`); }; exports2.TRACE_EVENT_END = TRACE_EVENT_END; } }); // node_modules/onnxruntime-common/dist/cjs/inference-session-impl.js var require_inference_session_impl2 = __commonJS2({ "node_modules/onnxruntime-common/dist/cjs/inference-session-impl.js"(exports2) { "use strict"; Object.defineProperty(exports2, "__esModule", { value: true }); exports2.InferenceSession = void 0; var backend_impl_js_1 = require_backend_impl2(); var tensor_js_1 = require_tensor2(); var trace_js_1 = require_trace2(); var InferenceSession = class { constructor(handler) { this.handler = handler; } async run(feeds, arg1, arg2) { (0, trace_js_1.TRACE_FUNC_BEGIN)(); (0, trace_js_1.TRACE_EVENT_BEGIN)("InferenceSession.run"); const fetches = {}; let options = {}; if (typeof feeds !== "object" || feeds === null || feeds instanceof tensor_js_1.Tensor || Array.isArray(feeds)) { throw new TypeError("'feeds' must be an object that use input names as keys and OnnxValue as corresponding values."); } let isFetchesEmpty = true; if (typeof arg1 === "object") { if (arg1 === null) { throw new TypeError("Unexpected argument[1]: cannot be null."); } if (arg1 instanceof tensor_js_1.Tensor) { throw new TypeError("'fetches' cannot be a Tensor"); } if (Array.isArray(arg1)) { if (arg1.length === 0) { throw new TypeError("'fetches' cannot be an empty array."); } isFetchesEmpty = false; for (const name of arg1) { if (typeof name !== "string") { throw new TypeError("'fetches' must be a string array or an object."); } if (this.outputNames.indexOf(name) === -1) { throw new RangeError(`'fetches' contains invalid output name: ${name}.`); } fetches[name] = null; } if (typeof arg2 === "object" && arg2 !== null) { options = arg2; } else if (typeof arg2 !== "undefined") { throw new TypeError("'options' must be an object."); } } else { let isFetches = false; const arg1Keys = Object.getOwnPropertyNames(arg1); for (const name of this.outputNames) { if (arg1Keys.indexOf(name) !== -1) { const v = arg1[name]; if (v === null || v instanceof tensor_js_1.Tensor) { isFetches = true; isFetchesEmpty = false; fetches[name] = v; } } } if (isFetches) { if (typeof arg2 === "object" && arg2 !== null) { options = arg2; } else if (typeof arg2 !== "undefined") { throw new TypeError("'options' must be an object."); } } else { options = arg1; } } } else if (typeof arg1 !== "undefined") { throw new TypeError("Unexpected argument[1]: must be 'fetches' or 'options'."); } for (const name of this.inputNames) { if (typeof feeds[name] === "undefined") { throw new Error(`input '${name}' is missing in 'feeds'.`); } } if (isFetchesEmpty) { for (const name of this.outputNames) { fetches[name] = null; } } const results = await this.handler.run(feeds, fetches, options); const returnValue = {}; for (const key in results) { if (Object.hasOwnProperty.call(results, key)) { const result = results[key]; if (result instanceof tensor_js_1.Tensor) { returnValue[key] = result; } else { returnValue[key] = new tensor_js_1.Tensor(result.type, result.data, result.dims); } } } (0, trace_js_1.TRACE_EVENT_END)("InferenceSession.run"); (0, trace_js_1.TRACE_FUNC_END)(); return returnValue; } async release() { return this.handler.dispose(); } static async create(arg0, arg1, arg2, arg3) { (0, trace_js_1.TRACE_FUNC_BEGIN)(); (0, trace_js_1.TRACE_EVENT_BEGIN)("InferenceSession.create"); let filePathOrUint8Array; let options = {}; if (typeof arg0 === "string") { filePathOrUint8Array = arg0; if (typeof arg1 === "object" && arg1 !== null) { options = arg1; } else if (typeof arg1 !== "undefined") { throw new TypeError("'options' must be an object."); } } else if (arg0 instanceof Uint8Array) { filePathOrUint8Array = arg0; if (typeof arg1 === "object" && arg1 !== null) { options = arg1; } else if (typeof arg1 !== "undefined") { throw new TypeError("'options' must be an object."); } } else if (arg0 instanceof ArrayBuffer || typeof SharedArrayBuffer !== "undefined" && arg0 instanceof SharedArrayBuffer) { const buffer = arg0; let byteOffset = 0; let byteLength = arg0.byteLength; if (typeof arg1 === "object" && arg1 !== null) { options = arg1; } else if (typeof arg1 === "number") { byteOffset = arg1; if (!Number.isSafeInteger(byteOffset)) { throw new RangeError("'byteOffset' must be an integer."); } if (byteOffset < 0 || byteOffset >= buffer.byteLength) { throw new RangeError(`'byteOffset' is out of range [0, ${buffer.byteLength}).`); } byteLength = arg0.byteLength - byteOffset; if (typeof arg2 === "number") { byteLength = arg2; if (!Number.isSafeInteger(byteLength)) { throw new RangeError("'byteLength' must be an integer."); } if (byteLength <= 0 || byteOffset + byteLength > buffer.byteLength) { throw new RangeError(`'byteLength' is out of range (0, ${buffer.byteLength - byteOffset}].`); } if (typeof arg3 === "object" && arg3 !== null) { options = arg3; } else if (typeof arg3 !== "undefined") { throw new TypeError("'options' must be an object."); } } else if (typeof arg2 !== "undefined") { throw new TypeError("'byteLength' must be a number."); } } else if (typeof arg1 !== "undefined") { throw new TypeError("'options' must be an object."); } filePathOrUint8Array = new Uint8Array(buffer, byteOffset, byteLength); } else { throw new TypeError("Unexpected argument[0]: must be 'path' or 'buffer'."); } const [backend, optionsWithValidatedEPs] = await (0, backend_impl_js_1.resolveBackendAndExecutionProviders)(options); const handler = await backend.createInferenceSessionHandler(filePathOrUint8Array, optionsWithValidatedEPs); (0, trace_js_1.TRACE_EVENT_END)("InferenceSession.create"); (0, trace_js_1.TRACE_FUNC_END)(); return new InferenceSession(handler); } startProfiling() { this.handler.startProfiling(); } endProfiling() { this.handler.endProfiling(); } get inputNames() { return this.handler.inputNames; } get outputNames() { return this.handler.outputNames; } get inputMetadata() { return this.handler.inputMetadata; } get outputMetadata() { return this.handler.outputMetadata; } }; exports2.InferenceSession = InferenceSession; } }); // node_modules/onnxruntime-common/dist/cjs/inference-session.js var require_inference_session2 = __commonJS2({ "node_modules/onnxruntime-common/dist/cjs/inference-session.js"(exports2) { "use strict"; Object.defineProperty(exports2, "__esModule", { value: true }); exports2.InferenceSession = void 0; var inference_session_impl_js_1 = require_inference_session_impl2(); exports2.InferenceSession = inference_session_impl_js_1.InferenceSession; } }); // node_modules/onnxruntime-common/dist/cjs/tensor-conversion.js var require_tensor_conversion2 = __commonJS2({ "node_modules/onnxruntime-common/dist/cjs/tensor-conversion.js"(exports2) { "use strict"; Object.defineProperty(exports2, "__esModule", { value: true }); } }); // node_modules/onnxruntime-common/dist/cjs/tensor-factory.js var require_tensor_factory2 = __commonJS2({ "node_modules/onnxruntime-common/dist/cjs/tensor-factory.js"(exports2) { "use strict"; Object.defineProperty(exports2, "__esModule", { value: true }); } }); // node_modules/onnxruntime-common/dist/cjs/onnx-model.js var require_onnx_model2 = __commonJS2({ "node_modules/onnxruntime-common/dist/cjs/onnx-model.js"(exports2) { "use strict"; Object.defineProperty(exports2, "__esModule", { value: true }); } }); // node_modules/onnxruntime-common/dist/cjs/onnx-value.js var require_onnx_value2 = __commonJS2({ "node_modules/onnxruntime-common/dist/cjs/onnx-value.js"(exports2) { "use strict"; Object.defineProperty(exports2, "__esModule", { value: true }); } }); // node_modules/onnxruntime-common/dist/cjs/index.js var require_cjs2 = __commonJS2({ "node_modules/onnxruntime-common/dist/cjs/index.js"(exports2) { "use strict"; var __createBinding = exports2 && exports2.__createBinding || (Object.create ? function(o, m, k, k2) { if (k2 === void 0) k2 = k; var desc = Object.getOwnPropertyDescriptor(m, k); if (!desc || ("get" in desc ? !m.__esModule : desc.writable || desc.configurable)) { desc = { enumerable: true, get: function() { return m[k]; } }; } Object.defineProperty(o, k2, desc); } : function(o, m, k, k2) { if (k2 === void 0) k2 = k; o[k2] = m[k]; }); var __exportStar = exports2 && exports2.__exportStar || function(m, exports3) { for (var p in m) if (p !== "default" && !Object.prototype.hasOwnProperty.call(exports3, p)) __createBinding(exports3, m, p); }; Object.defineProperty(exports2, "__esModule", { value: true }); __exportStar(require_backend2(), exports2); __exportStar(require_env2(), exports2); __exportStar(require_inference_session2(), exports2); __exportStar(require_tensor2(), exports2); __exportStar(require_tensor_conversion2(), exports2); __exportStar(require_tensor_factory2(), exports2); __exportStar(require_trace2(), exports2); __exportStar(require_onnx_model2(), exports2); __exportStar(require_onnx_value2(), exports2); } }); // dummy-sharp/index.js var require_dummy_sharp = __commonJS2({ "dummy-sharp/index.js"(exports2, module2) { module2.exports = {}; } }); // node_modules/@huggingface/transformers/dist/transformers.node.cjs var require_transformers_node = __commonJS2({ "node_modules/@huggingface/transformers/dist/transformers.node.cjs"(exports2, module2) { var _hashCache, _a2, _b, _c, _d, _e, _f, _g, _h, _i, _j, _k, _l, _m, _n, _o, _p, _q, _r, _s2, _t, _u, _v, _w, _x, _y, _z, _A, _B, _C, _D, _E, _F, _G, _H, _I, _J, _K, _L, _M, _N, _O, _P, _Q, _R, _S, _T, _U, _V, _W, _X, _Y, _Z, __, _$, _aa, _ba, _ca, _da, _ea, _fa, _ga, _ha, _ia, _ja, _ka; var __create3 = Object.create; var __defProp3 = Object.defineProperty; var __getOwnPropDesc3 = Object.getOwnPropertyDescriptor; var __getOwnPropNames3 = Object.getOwnPropertyNames; var __getProtoOf3 = Object.getPrototypeOf; var __hasOwnProp3 = Object.prototype.hasOwnProperty; var __export3 = (target, all) => { for (var name in all) __defProp3(target, name, { get: all[name], enumerable: true }); }; var __copyProps2 = (to, from, except, desc) => { if (from && typeof from === "object" || typeof from === "function") { for (let key of __getOwnPropNames3(from)) if (!__hasOwnProp3.call(to, key) && key !== except) __defProp3(to, key, { get: () => from[key], enumerable: !(desc = __getOwnPropDesc3(from, key)) || desc.enumerable }); } return to; }; var __toESM2 = (mod, isNodeMode, target) => (target = mod != null ? __create3(__getProtoOf3(mod)) : {}, __copyProps2( // If the importer is in node compatibility mode or this is not an ESM // file that has been converted to a CommonJS file using a Babel- // compatible transform (i.e. "__esModule" has not been set), then set // "default" to the CommonJS "module.exports" for node compatibility. isNodeMode || !mod || !mod.__esModule ? __defProp3(target, "default", { value: mod, enumerable: true }) : target, mod )); var __toCommonJS2 = (mod) => __copyProps2(__defProp3({}, "__esModule", { value: true }), mod); var transformers_exports = {}; __export3(transformers_exports, { ASTFeatureExtractor: () => ASTFeatureExtractor, ASTForAudioClassification: () => ASTForAudioClassification, ASTModel: () => ASTModel, ASTPreTrainedModel: () => ASTPreTrainedModel, AfmoeForCausalLM: () => AfmoeForCausalLM, AfmoeModel: () => AfmoeModel, AfmoePreTrainedModel: () => AfmoePreTrainedModel, AlbertForMaskedLM: () => AlbertForMaskedLM, AlbertForQuestionAnswering: () => AlbertForQuestionAnswering, AlbertForSequenceClassification: () => AlbertForSequenceClassification, AlbertModel: () => AlbertModel, AlbertPreTrainedModel: () => AlbertPreTrainedModel, AlbertTokenizer: () => AlbertTokenizer, ApertusForCausalLM: () => ApertusForCausalLM, ApertusModel: () => ApertusModel, ApertusPreTrainedModel: () => ApertusPreTrainedModel, ArceeForCausalLM: () => ArceeForCausalLM, ArceeModel: () => ArceeModel, ArceePreTrainedModel: () => ArceePreTrainedModel, AudioClassificationPipeline: () => AudioClassificationPipeline, AutoConfig: () => AutoConfig, AutoFeatureExtractor: () => AutoFeatureExtractor, AutoImageProcessor: () => AutoImageProcessor, AutoModel: () => AutoModel, AutoModelForAudioClassification: () => AutoModelForAudioClassification, AutoModelForAudioFrameClassification: () => AutoModelForAudioFrameClassification, AutoModelForAudioTextToText: () => AutoModelForAudioTextToText, AutoModelForCTC: () => AutoModelForCTC, AutoModelForCausalLM: () => AutoModelForCausalLM, AutoModelForDepthEstimation: () => AutoModelForDepthEstimation, AutoModelForDocumentQuestionAnswering: () => AutoModelForDocumentQuestionAnswering, AutoModelForImageClassification: () => AutoModelForImageClassification, AutoModelForImageFeatureExtraction: () => AutoModelForImageFeatureExtraction, AutoModelForImageMatting: () => AutoModelForImageMatting, AutoModelForImageSegmentation: () => AutoModelForImageSegmentation, AutoModelForImageTextToText: () => AutoModelForImageTextToText, AutoModelForImageToImage: () => AutoModelForImageToImage, AutoModelForMaskGeneration: () => AutoModelForMaskGeneration, AutoModelForMaskedLM: () => AutoModelForMaskedLM, AutoModelForNormalEstimation: () => AutoModelForNormalEstimation, AutoModelForObjectDetection: () => AutoModelForObjectDetection, AutoModelForPoseEstimation: () => AutoModelForPoseEstimation, AutoModelForQuestionAnswering: () => AutoModelForQuestionAnswering, AutoModelForSemanticSegmentation: () => AutoModelForSemanticSegmentation, AutoModelForSeq2SeqLM: () => AutoModelForSeq2SeqLM, AutoModelForSequenceClassification: () => AutoModelForSequenceClassification, AutoModelForSpeechSeq2Seq: () => AutoModelForSpeechSeq2Seq, AutoModelForTextToSpectrogram: () => AutoModelForTextToSpectrogram, AutoModelForTextToWaveform: () => AutoModelForTextToWaveform, AutoModelForTokenClassification: () => AutoModelForTokenClassification, AutoModelForUniversalSegmentation: () => AutoModelForUniversalSegmentation, AutoModelForVision2Seq: () => AutoModelForVision2Seq, AutoModelForXVector: () => AutoModelForXVector, AutoModelForZeroShotObjectDetection: () => AutoModelForZeroShotObjectDetection, AutoProcessor: () => AutoProcessor, AutoTokenizer: () => AutoTokenizer, AutomaticSpeechRecognitionPipeline: () => AutomaticSpeechRecognitionPipeline, BackgroundRemovalPipeline: () => BackgroundRemovalPipeline, BartForConditionalGeneration: () => BartForConditionalGeneration, BartForSequenceClassification: () => BartForSequenceClassification, BartModel: () => BartModel, BartPretrainedModel: () => BartPretrainedModel, BartTokenizer: () => BartTokenizer, BaseStreamer: () => BaseStreamer, BeitFeatureExtractor: () => BeitFeatureExtractor, BeitForImageClassification: () => BeitForImageClassification, BeitModel: () => BeitModel, BeitPreTrainedModel: () => BeitPreTrainedModel, BertForMaskedLM: () => BertForMaskedLM, BertForQuestionAnswering: () => BertForQuestionAnswering, BertForSequenceClassification: () => BertForSequenceClassification, BertForTokenClassification: () => BertForTokenClassification, BertModel: () => BertModel, BertPreTrainedModel: () => BertPreTrainedModel, BertTokenizer: () => BertTokenizer, BitImageProcessor: () => BitImageProcessor, BlenderbotForConditionalGeneration: () => BlenderbotForConditionalGeneration, BlenderbotModel: () => BlenderbotModel, BlenderbotPreTrainedModel: () => BlenderbotPreTrainedModel, BlenderbotSmallForConditionalGeneration: () => BlenderbotSmallForConditionalGeneration, BlenderbotSmallModel: () => BlenderbotSmallModel, BlenderbotSmallPreTrainedModel: () => BlenderbotSmallPreTrainedModel, BlenderbotSmallTokenizer: () => BlenderbotSmallTokenizer, BlenderbotTokenizer: () => BlenderbotTokenizer, BloomForCausalLM: () => BloomForCausalLM, BloomModel: () => BloomModel, BloomPreTrainedModel: () => BloomPreTrainedModel, BloomTokenizer: () => BloomTokenizer, CHMv2ForDepthEstimation: () => CHMv2ForDepthEstimation, CHMv2ImageProcessor: () => CHMv2ImageProcessor, CHMv2PreTrainedModel: () => CHMv2PreTrainedModel, CLIPFeatureExtractor: () => CLIPFeatureExtractor, CLIPImageProcessor: () => CLIPImageProcessor, CLIPModel: () => CLIPModel, CLIPPreTrainedModel: () => CLIPPreTrainedModel, CLIPSegForImageSegmentation: () => CLIPSegForImageSegmentation, CLIPSegModel: () => CLIPSegModel, CLIPSegPreTrainedModel: () => CLIPSegPreTrainedModel, CLIPTextModel: () => CLIPTextModel, CLIPTextModelWithProjection: () => CLIPTextModelWithProjection, CLIPTokenizer: () => CLIPTokenizer, CLIPVisionModel: () => CLIPVisionModel, CLIPVisionModelWithProjection: () => CLIPVisionModelWithProjection, CamembertForMaskedLM: () => CamembertForMaskedLM, CamembertForQuestionAnswering: () => CamembertForQuestionAnswering, CamembertForSequenceClassification: () => CamembertForSequenceClassification, CamembertForTokenClassification: () => CamembertForTokenClassification, CamembertModel: () => CamembertModel, CamembertPreTrainedModel: () => CamembertPreTrainedModel, CamembertTokenizer: () => CamembertTokenizer, ChatterboxFeatureExtractor: () => ChatterboxFeatureExtractor, ChatterboxModel: () => ChatterboxModel, ChatterboxPreTrainedModel: () => ChatterboxPreTrainedModel, ChatterboxProcessor: () => ChatterboxProcessor, ChineseCLIPFeatureExtractor: () => ChineseCLIPFeatureExtractor, ChineseCLIPModel: () => ChineseCLIPModel, ChineseCLIPPreTrainedModel: () => ChineseCLIPPreTrainedModel, ClapAudioModelWithProjection: () => ClapAudioModelWithProjection, ClapFeatureExtractor: () => ClapFeatureExtractor, ClapModel: () => ClapModel, ClapPreTrainedModel: () => ClapPreTrainedModel, ClapTextModelWithProjection: () => ClapTextModelWithProjection, ClassifierFreeGuidanceLogitsProcessor: () => ClassifierFreeGuidanceLogitsProcessor, CodeGenForCausalLM: () => CodeGenForCausalLM, CodeGenModel: () => CodeGenModel, CodeGenPreTrainedModel: () => CodeGenPreTrainedModel, CodeGenTokenizer: () => CodeGenTokenizer, CodeLlamaTokenizer: () => CodeLlamaTokenizer, Cohere2ForCausalLM: () => Cohere2ForCausalLM, Cohere2Model: () => Cohere2Model, Cohere2PreTrainedModel: () => Cohere2PreTrainedModel, CohereAsrFeatureExtractor: () => CohereAsrFeatureExtractor, CohereAsrForConditionalGeneration: () => CohereAsrForConditionalGeneration, CohereAsrModel: () => CohereAsrModel, CohereAsrPreTrainedModel: () => CohereAsrPreTrainedModel, CohereAsrProcessor: () => CohereAsrProcessor, CohereAsrTokenizer: () => CohereAsrTokenizer, CohereForCausalLM: () => CohereForCausalLM, CohereModel: () => CohereModel, CoherePreTrainedModel: () => CoherePreTrainedModel, CohereTokenizer: () => CohereTokenizer, ConvBertForMaskedLM: () => ConvBertForMaskedLM, ConvBertForQuestionAnswering: () => ConvBertForQuestionAnswering, ConvBertForSequenceClassification: () => ConvBertForSequenceClassification, ConvBertForTokenClassification: () => ConvBertForTokenClassification, ConvBertModel: () => ConvBertModel, ConvBertPreTrainedModel: () => ConvBertPreTrainedModel, ConvBertTokenizer: () => ConvBertTokenizer, ConvNextFeatureExtractor: () => ConvNextFeatureExtractor, ConvNextForImageClassification: () => ConvNextForImageClassification, ConvNextImageProcessor: () => ConvNextImageProcessor, ConvNextModel: () => ConvNextModel, ConvNextPreTrainedModel: () => ConvNextPreTrainedModel, ConvNextV2ForImageClassification: () => ConvNextV2ForImageClassification, ConvNextV2Model: () => ConvNextV2Model, ConvNextV2PreTrainedModel: () => ConvNextV2PreTrainedModel, DFineForObjectDetection: () => DFineForObjectDetection, DFineModel: () => DFineModel, DFinePreTrainedModel: () => DFinePreTrainedModel, DINOv3ConvNextModel: () => DINOv3ConvNextModel, DINOv3ConvNextPreTrainedModel: () => DINOv3ConvNextPreTrainedModel, DINOv3ViTImageProcessor: () => DINOv3ViTImageProcessor, DINOv3ViTModel: () => DINOv3ViTModel, DINOv3ViTPreTrainedModel: () => DINOv3ViTPreTrainedModel, DPTFeatureExtractor: () => DPTFeatureExtractor, DPTForDepthEstimation: () => DPTForDepthEstimation, DPTImageProcessor: () => DPTImageProcessor, DPTModel: () => DPTModel, DPTPreTrainedModel: () => DPTPreTrainedModel, DacDecoderModel: () => DacDecoderModel, DacDecoderOutput: () => DacDecoderOutput, DacEncoderModel: () => DacEncoderModel, DacEncoderOutput: () => DacEncoderOutput, DacFeatureExtractor: () => DacFeatureExtractor, DacModel: () => DacModel, DacPreTrainedModel: () => DacPreTrainedModel, DebertaForMaskedLM: () => DebertaForMaskedLM, DebertaForQuestionAnswering: () => DebertaForQuestionAnswering, DebertaForSequenceClassification: () => DebertaForSequenceClassification, DebertaForTokenClassification: () => DebertaForTokenClassification, DebertaModel: () => DebertaModel, DebertaPreTrainedModel: () => DebertaPreTrainedModel, DebertaTokenizer: () => DebertaTokenizer, DebertaV2ForMaskedLM: () => DebertaV2ForMaskedLM, DebertaV2ForQuestionAnswering: () => DebertaV2ForQuestionAnswering, DebertaV2ForSequenceClassification: () => DebertaV2ForSequenceClassification, DebertaV2ForTokenClassification: () => DebertaV2ForTokenClassification, DebertaV2Model: () => DebertaV2Model, DebertaV2PreTrainedModel: () => DebertaV2PreTrainedModel, DebertaV2Tokenizer: () => DebertaV2Tokenizer, DecisionTransformerModel: () => DecisionTransformerModel, DecisionTransformerPreTrainedModel: () => DecisionTransformerPreTrainedModel, DeepseekV3ForCausalLM: () => DeepseekV3ForCausalLM, DeepseekV3Model: () => DeepseekV3Model, DeepseekV3PreTrainedModel: () => DeepseekV3PreTrainedModel, DeiTFeatureExtractor: () => DeiTFeatureExtractor, DeiTForImageClassification: () => DeiTForImageClassification, DeiTImageProcessor: () => DeiTImageProcessor, DeiTModel: () => DeiTModel, DeiTPreTrainedModel: () => DeiTPreTrainedModel, DepthAnythingForDepthEstimation: () => DepthAnythingForDepthEstimation, DepthAnythingPreTrainedModel: () => DepthAnythingPreTrainedModel, DepthEstimationPipeline: () => DepthEstimationPipeline, DepthProForDepthEstimation: () => DepthProForDepthEstimation, DepthProPreTrainedModel: () => DepthProPreTrainedModel, DetrFeatureExtractor: () => DetrFeatureExtractor, DetrForObjectDetection: () => DetrForObjectDetection, DetrForSegmentation: () => DetrForSegmentation, DetrImageProcessor: () => DetrImageProcessor, DetrModel: () => DetrModel, DetrObjectDetectionOutput: () => DetrObjectDetectionOutput, DetrPreTrainedModel: () => DetrPreTrainedModel, DetrSegmentationOutput: () => DetrSegmentationOutput, Dinov2ForImageClassification: () => Dinov2ForImageClassification, Dinov2Model: () => Dinov2Model, Dinov2PreTrainedModel: () => Dinov2PreTrainedModel, Dinov2WithRegistersForImageClassification: () => Dinov2WithRegistersForImageClassification, Dinov2WithRegistersModel: () => Dinov2WithRegistersModel, Dinov2WithRegistersPreTrainedModel: () => Dinov2WithRegistersPreTrainedModel, DistilBertForMaskedLM: () => DistilBertForMaskedLM, DistilBertForQuestionAnswering: () => DistilBertForQuestionAnswering, DistilBertForSequenceClassification: () => DistilBertForSequenceClassification, DistilBertForTokenClassification: () => DistilBertForTokenClassification, DistilBertModel: () => DistilBertModel, DistilBertPreTrainedModel: () => DistilBertPreTrainedModel, DistilBertTokenizer: () => DistilBertTokenizer, DocumentQuestionAnsweringPipeline: () => DocumentQuestionAnsweringPipeline, DonutFeatureExtractor: () => DonutFeatureExtractor, DonutImageProcessor: () => DonutImageProcessor, DonutSwinModel: () => DonutSwinModel, DonutSwinPreTrainedModel: () => DonutSwinPreTrainedModel, DynamicCache: () => DynamicCache, EdgeTamModel: () => EdgeTamModel, EfficientNetForImageClassification: () => EfficientNetForImageClassification, EfficientNetImageProcessor: () => EfficientNetImageProcessor, EfficientNetModel: () => EfficientNetModel, EfficientNetPreTrainedModel: () => EfficientNetPreTrainedModel, ElectraForMaskedLM: () => ElectraForMaskedLM, ElectraForQuestionAnswering: () => ElectraForQuestionAnswering, ElectraForSequenceClassification: () => ElectraForSequenceClassification, ElectraForTokenClassification: () => ElectraForTokenClassification, ElectraModel: () => ElectraModel, ElectraPreTrainedModel: () => ElectraPreTrainedModel, ElectraTokenizer: () => ElectraTokenizer, EncodecFeatureExtractor: () => EncodecFeatureExtractor, EosTokenCriteria: () => EosTokenCriteria, Ernie4_5ForCausalLM: () => Ernie4_5ForCausalLM, Ernie4_5Model: () => Ernie4_5Model, Ernie4_5PretrainedModel: () => Ernie4_5PretrainedModel, EsmForMaskedLM: () => EsmForMaskedLM, EsmForSequenceClassification: () => EsmForSequenceClassification, EsmForTokenClassification: () => EsmForTokenClassification, EsmModel: () => EsmModel, EsmPreTrainedModel: () => EsmPreTrainedModel, EsmTokenizer: () => EsmTokenizer, EuroBertForMaskedLM: () => EuroBertForMaskedLM, EuroBertForSequenceClassification: () => EuroBertForSequenceClassification, EuroBertForTokenClassification: () => EuroBertForTokenClassification, EuroBertModel: () => EuroBertModel, EuroBertPreTrainedModel: () => EuroBertPreTrainedModel, ExaoneForCausalLM: () => ExaoneForCausalLM, ExaoneModel: () => ExaoneModel, ExaonePreTrainedModel: () => ExaonePreTrainedModel, FalconForCausalLM: () => FalconForCausalLM, FalconH1ForCausalLM: () => FalconH1ForCausalLM, FalconH1Model: () => FalconH1Model, FalconH1PreTrainedModel: () => FalconH1PreTrainedModel, FalconModel: () => FalconModel, FalconPreTrainedModel: () => FalconPreTrainedModel, FalconTokenizer: () => FalconTokenizer, FastViTForImageClassification: () => FastViTForImageClassification, FastViTModel: () => FastViTModel, FastViTPreTrainedModel: () => FastViTPreTrainedModel, FeatureExtractionPipeline: () => FeatureExtractionPipeline, FeatureExtractor: () => FeatureExtractor, FillMaskPipeline: () => FillMaskPipeline, Florence2ForConditionalGeneration: () => Florence2ForConditionalGeneration, Florence2PreTrainedModel: () => Florence2PreTrainedModel, Florence2Processor: () => Florence2Processor, ForcedBOSTokenLogitsProcessor: () => ForcedBOSTokenLogitsProcessor, ForcedEOSTokenLogitsProcessor: () => ForcedEOSTokenLogitsProcessor, GLPNFeatureExtractor: () => GLPNFeatureExtractor, GLPNForDepthEstimation: () => GLPNForDepthEstimation, GLPNModel: () => GLPNModel, GLPNPreTrainedModel: () => GLPNPreTrainedModel, GPT2LMHeadModel: () => GPT2LMHeadModel, GPT2Model: () => GPT2Model, GPT2PreTrainedModel: () => GPT2PreTrainedModel, GPT2Tokenizer: () => GPT2Tokenizer, GPTBigCodeForCausalLM: () => GPTBigCodeForCausalLM, GPTBigCodeModel: () => GPTBigCodeModel, GPTBigCodePreTrainedModel: () => GPTBigCodePreTrainedModel, GPTJForCausalLM: () => GPTJForCausalLM, GPTJModel: () => GPTJModel, GPTJPreTrainedModel: () => GPTJPreTrainedModel, GPTNeoForCausalLM: () => GPTNeoForCausalLM, GPTNeoModel: () => GPTNeoModel, GPTNeoPreTrainedModel: () => GPTNeoPreTrainedModel, GPTNeoXForCausalLM: () => GPTNeoXForCausalLM, GPTNeoXModel: () => GPTNeoXModel, GPTNeoXPreTrainedModel: () => GPTNeoXPreTrainedModel, GPTNeoXTokenizer: () => GPTNeoXTokenizer, Gemma2ForCausalLM: () => Gemma2ForCausalLM, Gemma2Model: () => Gemma2Model, Gemma2PreTrainedModel: () => Gemma2PreTrainedModel, Gemma3ForCausalLM: () => Gemma3ForCausalLM, Gemma3ForConditionalGeneration: () => Gemma3ForConditionalGeneration, Gemma3ImageProcessor: () => Gemma3ImageProcessor, Gemma3Model: () => Gemma3Model, Gemma3PreTrainedModel: () => Gemma3PreTrainedModel, Gemma3Processor: () => Gemma3Processor, Gemma3nAudioFeatureExtractor: () => Gemma3nAudioFeatureExtractor, Gemma3nForCausalLM: () => Gemma3nForCausalLM, Gemma3nForConditionalGeneration: () => Gemma3nForConditionalGeneration, Gemma3nPreTrainedModel: () => Gemma3nPreTrainedModel, Gemma3nProcessor: () => Gemma3nProcessor, Gemma4AudioFeatureExtractor: () => Gemma4AudioFeatureExtractor, Gemma4ForCausalLM: () => Gemma4ForCausalLM, Gemma4ForConditionalGeneration: () => Gemma4ForConditionalGeneration, Gemma4ImageProcessor: () => Gemma4ImageProcessor, Gemma4Processor: () => Gemma4Processor, GemmaForCausalLM: () => GemmaForCausalLM, GemmaModel: () => GemmaModel, GemmaPreTrainedModel: () => GemmaPreTrainedModel, GemmaTokenizer: () => GemmaTokenizer, Glm46VImageProcessor: () => Glm46VImageProcessor, Glm46VProcessor: () => Glm46VProcessor, GlmForCausalLM: () => GlmForCausalLM, GlmModel: () => GlmModel, GlmMoeDsaForCausalLM: () => GlmMoeDsaForCausalLM, GlmMoeDsaModel: () => GlmMoeDsaModel, GlmMoeDsaPreTrainedModel: () => GlmMoeDsaPreTrainedModel, GlmOcrForConditionalGeneration: () => GlmOcrForConditionalGeneration, GlmPreTrainedModel: () => GlmPreTrainedModel, GptOssForCausalLM: () => GptOssForCausalLM, GptOssModel: () => GptOssModel, GptOssPreTrainedModel: () => GptOssPreTrainedModel, GraniteForCausalLM: () => GraniteForCausalLM, GraniteModel: () => GraniteModel, GraniteMoeHybridForCausalLM: () => GraniteMoeHybridForCausalLM, GraniteMoeHybridModel: () => GraniteMoeHybridModel, GraniteMoeHybridPreTrainedModel: () => GraniteMoeHybridPreTrainedModel, GranitePreTrainedModel: () => GranitePreTrainedModel, GraniteSpeechFeatureExtractor: () => GraniteSpeechFeatureExtractor, GraniteSpeechForConditionalGeneration: () => GraniteSpeechForConditionalGeneration, GraniteSpeechProcessor: () => GraniteSpeechProcessor, GroundingDinoForObjectDetection: () => GroundingDinoForObjectDetection, GroundingDinoImageProcessor: () => GroundingDinoImageProcessor, GroundingDinoPreTrainedModel: () => GroundingDinoPreTrainedModel, GroundingDinoProcessor: () => GroundingDinoProcessor, GroupViTModel: () => GroupViTModel, GroupViTPreTrainedModel: () => GroupViTPreTrainedModel, HeliumForCausalLM: () => HeliumForCausalLM, HeliumModel: () => HeliumModel, HeliumPreTrainedModel: () => HeliumPreTrainedModel, HerbertTokenizer: () => HerbertTokenizer, HieraForImageClassification: () => HieraForImageClassification, HieraModel: () => HieraModel, HieraPreTrainedModel: () => HieraPreTrainedModel, HubertForCTC: () => HubertForCTC, HubertForSequenceClassification: () => HubertForSequenceClassification, HubertModel: () => HubertModel, HubertPreTrainedModel: () => HubertPreTrainedModel, HunYuanDenseV1ForCausalLM: () => HunYuanDenseV1ForCausalLM, HunYuanDenseV1Model: () => HunYuanDenseV1Model, HunYuanDenseV1PreTrainedModel: () => HunYuanDenseV1PreTrainedModel, IJepaForImageClassification: () => IJepaForImageClassification, IJepaModel: () => IJepaModel, IJepaPreTrainedModel: () => IJepaPreTrainedModel, Idefics3ForConditionalGeneration: () => Idefics3ForConditionalGeneration, Idefics3ImageProcessor: () => Idefics3ImageProcessor, Idefics3Processor: () => Idefics3Processor, ImageClassificationPipeline: () => ImageClassificationPipeline, ImageFeatureExtractionPipeline: () => ImageFeatureExtractionPipeline, ImageFeatureExtractor: () => ImageProcessor, ImageProcessor: () => ImageProcessor, ImageSegmentationPipeline: () => ImageSegmentationPipeline, ImageToImagePipeline: () => ImageToImagePipeline, ImageToTextPipeline: () => ImageToTextPipeline, InterruptableStoppingCriteria: () => InterruptableStoppingCriteria, JAISLMHeadModel: () => JAISLMHeadModel, JAISModel: () => JAISModel, JAISPreTrainedModel: () => JAISPreTrainedModel, JinaCLIPImageProcessor: () => JinaCLIPImageProcessor, JinaCLIPModel: () => JinaCLIPModel, JinaCLIPPreTrainedModel: () => JinaCLIPPreTrainedModel, JinaCLIPProcessor: () => JinaCLIPProcessor, JinaCLIPTextModel: () => JinaCLIPTextModel, JinaCLIPVisionModel: () => JinaCLIPVisionModel, Lfm2ForCausalLM: () => Lfm2ForCausalLM, Lfm2Model: () => Lfm2Model, Lfm2MoeForCausalLM: () => Lfm2MoeForCausalLM, Lfm2MoeModel: () => Lfm2MoeModel, Lfm2MoePreTrainedModel: () => Lfm2MoePreTrainedModel, Lfm2PreTrainedModel: () => Lfm2PreTrainedModel, Lfm2VlForConditionalGeneration: () => Lfm2VlForConditionalGeneration, Lfm2VlImageProcessor: () => Lfm2VlImageProcessor, Lfm2VlProcessor: () => Lfm2VlProcessor, LightOnOcrForConditionalGeneration: () => LightOnOcrForConditionalGeneration, LiteWhisperForConditionalGeneration: () => LiteWhisperForConditionalGeneration, Llama4ForCausalLM: () => Llama4ForCausalLM, Llama4PreTrainedModel: () => Llama4PreTrainedModel, LlamaForCausalLM: () => LlamaForCausalLM, LlamaModel: () => LlamaModel, LlamaPreTrainedModel: () => LlamaPreTrainedModel, LlamaTokenizer: () => LlamaTokenizer, LlavaForConditionalGeneration: () => LlavaForConditionalGeneration, LlavaOnevisionForConditionalGeneration: () => LlavaForConditionalGeneration, LlavaOnevisionImageProcessor: () => LlavaOnevisionImageProcessor, LlavaPreTrainedModel: () => LlavaPreTrainedModel, LlavaProcessor: () => LlavaProcessor, LlavaQwen2ForCausalLM: () => LlavaQwen2ForCausalLM, LogLevel: () => LogLevel, LogitsProcessor: () => LogitsProcessor, LogitsProcessorList: () => LogitsProcessorList, LogitsWarper: () => LogitsWarper, LongT5ForConditionalGeneration: () => LongT5ForConditionalGeneration, LongT5Model: () => LongT5Model, LongT5PreTrainedModel: () => LongT5PreTrainedModel, M2M100ForConditionalGeneration: () => M2M100ForConditionalGeneration, M2M100Model: () => M2M100Model, M2M100PreTrainedModel: () => M2M100PreTrainedModel, M2M100Tokenizer: () => M2M100Tokenizer, MBart50Tokenizer: () => MBart50Tokenizer, MBartForCausalLM: () => MBartForCausalLM, MBartForConditionalGeneration: () => MBartForConditionalGeneration, MBartForSequenceClassification: () => MBartForSequenceClassification, MBartModel: () => MBartModel, MBartPreTrainedModel: () => MBartPreTrainedModel, MBartTokenizer: () => MBartTokenizer, MPNetForMaskedLM: () => MPNetForMaskedLM, MPNetForQuestionAnswering: () => MPNetForQuestionAnswering, MPNetForSequenceClassification: () => MPNetForSequenceClassification, MPNetForTokenClassification: () => MPNetForTokenClassification, MPNetModel: () => MPNetModel, MPNetPreTrainedModel: () => MPNetPreTrainedModel, MPNetTokenizer: () => MPNetTokenizer, MT5ForConditionalGeneration: () => MT5ForConditionalGeneration, MT5Model: () => MT5Model, MT5PreTrainedModel: () => MT5PreTrainedModel, MarianMTModel: () => MarianMTModel, MarianModel: () => MarianModel, MarianPreTrainedModel: () => MarianPreTrainedModel, MarianTokenizer: () => MarianTokenizer, Mask2FormerImageProcessor: () => Mask2FormerImageProcessor, MaskFormerFeatureExtractor: () => MaskFormerFeatureExtractor, MaskFormerForInstanceSegmentation: () => MaskFormerForInstanceSegmentation, MaskFormerImageProcessor: () => MaskFormerImageProcessor, MaskFormerModel: () => MaskFormerModel, MaskFormerPreTrainedModel: () => MaskFormerPreTrainedModel, MaxLengthCriteria: () => MaxLengthCriteria, Metric3DForDepthEstimation: () => Metric3DForDepthEstimation, Metric3DPreTrainedModel: () => Metric3DPreTrainedModel, Metric3Dv2ForDepthEstimation: () => Metric3Dv2ForDepthEstimation, Metric3Dv2PreTrainedModel: () => Metric3Dv2PreTrainedModel, MgpstrForSceneTextRecognition: () => MgpstrForSceneTextRecognition, MgpstrModelOutput: () => MgpstrModelOutput, MgpstrPreTrainedModel: () => MgpstrPreTrainedModel, MgpstrProcessor: () => MgpstrProcessor, MgpstrTokenizer: () => MgpstrTokenizer, MimiDecoderModel: () => MimiDecoderModel, MimiDecoderOutput: () => MimiDecoderOutput, MimiEncoderModel: () => MimiEncoderModel, MimiEncoderOutput: () => MimiEncoderOutput, MimiModel: () => MimiModel, MimiPreTrainedModel: () => MimiPreTrainedModel, MinLengthLogitsProcessor: () => MinLengthLogitsProcessor, MinNewTokensLengthLogitsProcessor: () => MinNewTokensLengthLogitsProcessor, Mistral4ForCausalLM: () => Mistral4ForCausalLM, Mistral4Model: () => Mistral4Model, Mistral4PreTrainedModel: () => Mistral4PreTrainedModel, MistralForCausalLM: () => MistralForCausalLM, MistralModel: () => MistralModel, MistralPreTrainedModel: () => MistralPreTrainedModel, MobileBertForMaskedLM: () => MobileBertForMaskedLM, MobileBertForQuestionAnswering: () => MobileBertForQuestionAnswering, MobileBertForSequenceClassification: () => MobileBertForSequenceClassification, MobileBertModel: () => MobileBertModel, MobileBertPreTrainedModel: () => MobileBertPreTrainedModel, MobileBertTokenizer: () => MobileBertTokenizer, MobileLLMForCausalLM: () => MobileLLMForCausalLM, MobileLLMModel: () => MobileLLMModel, MobileLLMPreTrainedModel: () => MobileLLMPreTrainedModel, MobileNetV1FeatureExtractor: () => MobileNetV1FeatureExtractor, MobileNetV1ForImageClassification: () => MobileNetV1ForImageClassification, MobileNetV1ForSemanticSegmentation: () => MobileNetV1ForSemanticSegmentation, MobileNetV1ImageProcessor: () => MobileNetV1ImageProcessor, MobileNetV1Model: () => MobileNetV1Model, MobileNetV1PreTrainedModel: () => MobileNetV1PreTrainedModel, MobileNetV2FeatureExtractor: () => MobileNetV2FeatureExtractor, MobileNetV2ForImageClassification: () => MobileNetV2ForImageClassification, MobileNetV2ForSemanticSegmentation: () => MobileNetV2ForSemanticSegmentation, MobileNetV2ImageProcessor: () => MobileNetV2ImageProcessor, MobileNetV2Model: () => MobileNetV2Model, MobileNetV2PreTrainedModel: () => MobileNetV2PreTrainedModel, MobileNetV3FeatureExtractor: () => MobileNetV3FeatureExtractor, MobileNetV3ForImageClassification: () => MobileNetV3ForImageClassification, MobileNetV3ForSemanticSegmentation: () => MobileNetV3ForSemanticSegmentation, MobileNetV3ImageProcessor: () => MobileNetV3ImageProcessor, MobileNetV3Model: () => MobileNetV3Model, MobileNetV3PreTrainedModel: () => MobileNetV3PreTrainedModel, MobileNetV4FeatureExtractor: () => MobileNetV4FeatureExtractor, MobileNetV4ForImageClassification: () => MobileNetV4ForImageClassification, MobileNetV4ForSemanticSegmentation: () => MobileNetV4ForSemanticSegmentation, MobileNetV4ImageProcessor: () => MobileNetV4ImageProcessor, MobileNetV4Model: () => MobileNetV4Model, MobileNetV4PreTrainedModel: () => MobileNetV4PreTrainedModel, MobileViTFeatureExtractor: () => MobileViTFeatureExtractor, MobileViTForImageClassification: () => MobileViTForImageClassification, MobileViTImageProcessor: () => MobileViTImageProcessor, MobileViTModel: () => MobileViTModel, MobileViTPreTrainedModel: () => MobileViTPreTrainedModel, MobileViTV2ForImageClassification: () => MobileViTV2ForImageClassification, MobileViTV2Model: () => MobileViTV2Model, MobileViTV2PreTrainedModel: () => MobileViTV2PreTrainedModel, ModelRegistry: () => ModelRegistry, ModernBertDecoderForCausalLM: () => ModernBertDecoderForCausalLM, ModernBertDecoderModel: () => ModernBertDecoderModel, ModernBertDecoderPreTrainedModel: () => ModernBertDecoderPreTrainedModel, ModernBertForMaskedLM: () => ModernBertForMaskedLM, ModernBertForSequenceClassification: () => ModernBertForSequenceClassification, ModernBertForTokenClassification: () => ModernBertForTokenClassification, ModernBertModel: () => ModernBertModel, ModernBertPreTrainedModel: () => ModernBertPreTrainedModel, Moondream1ForConditionalGeneration: () => Moondream1ForConditionalGeneration, MoonshineFeatureExtractor: () => MoonshineFeatureExtractor, MoonshineForConditionalGeneration: () => MoonshineForConditionalGeneration, MoonshineModel: () => MoonshineModel, MoonshinePreTrainedModel: () => MoonshinePreTrainedModel, MoonshineProcessor: () => MoonshineProcessor, MptForCausalLM: () => MptForCausalLM, MptModel: () => MptModel, MptPreTrainedModel: () => MptPreTrainedModel, MultiModalityCausalLM: () => MultiModalityCausalLM, MultiModalityPreTrainedModel: () => MultiModalityPreTrainedModel, MusicgenForCausalLM: () => MusicgenForCausalLM, MusicgenForConditionalGeneration: () => MusicgenForConditionalGeneration, MusicgenModel: () => MusicgenModel, MusicgenPreTrainedModel: () => MusicgenPreTrainedModel, NanoChatForCausalLM: () => NanoChatForCausalLM, NanoChatModel: () => NanoChatModel, NanoChatPreTrainedModel: () => NanoChatPreTrainedModel, NemotronHForCausalLM: () => NemotronHForCausalLM, NemotronHModel: () => NemotronHModel, NemotronHPreTrainedModel: () => NemotronHPreTrainedModel, NeoBertForMaskedLM: () => NeoBertForMaskedLM, NeoBertForQuestionAnswering: () => NeoBertForQuestionAnswering, NeoBertForSequenceClassification: () => NeoBertForSequenceClassification, NeoBertForTokenClassification: () => NeoBertForTokenClassification, NeoBertModel: () => NeoBertModel, NeoBertPreTrainedModel: () => NeoBertPreTrainedModel, NllbTokenizer: () => NllbTokenizer, NoBadWordsLogitsProcessor: () => NoBadWordsLogitsProcessor, NoRepeatNGramLogitsProcessor: () => NoRepeatNGramLogitsProcessor, NomicBertModel: () => NomicBertModel, NomicBertPreTrainedModel: () => NomicBertPreTrainedModel, NougatImageProcessor: () => NougatImageProcessor, NougatTokenizer: () => NougatTokenizer, OPTForCausalLM: () => OPTForCausalLM, OPTModel: () => OPTModel, OPTPreTrainedModel: () => OPTPreTrainedModel, ObjectDetectionPipeline: () => ObjectDetectionPipeline, Olmo2ForCausalLM: () => Olmo2ForCausalLM, Olmo2Model: () => Olmo2Model, Olmo2PreTrainedModel: () => Olmo2PreTrainedModel, Olmo3ForCausalLM: () => Olmo3ForCausalLM, Olmo3Model: () => Olmo3Model, Olmo3PreTrainedModel: () => Olmo3PreTrainedModel, OlmoForCausalLM: () => OlmoForCausalLM, OlmoHybridForCausalLM: () => OlmoHybridForCausalLM, OlmoHybridModel: () => OlmoHybridModel, OlmoHybridPreTrainedModel: () => OlmoHybridPreTrainedModel, OlmoModel: () => OlmoModel, OlmoPreTrainedModel: () => OlmoPreTrainedModel, OpenAIPrivacyFilterForTokenClassification: () => OpenAIPrivacyFilterForTokenClassification, OpenAIPrivacyFilterModel: () => OpenAIPrivacyFilterModel, OpenAIPrivacyFilterPreTrainedModel: () => OpenAIPrivacyFilterPreTrainedModel, OpenELMForCausalLM: () => OpenELMForCausalLM, OpenELMModel: () => OpenELMModel, OpenELMPreTrainedModel: () => OpenELMPreTrainedModel, OwlViTFeatureExtractor: () => OwlViTFeatureExtractor, OwlViTForObjectDetection: () => OwlViTForObjectDetection, OwlViTImageProcessor: () => OwlViTImageProcessor, OwlViTModel: () => OwlViTModel, OwlViTPreTrainedModel: () => OwlViTPreTrainedModel, OwlViTProcessor: () => OwlViTProcessor, Owlv2ForObjectDetection: () => Owlv2ForObjectDetection, Owlv2ImageProcessor: () => Owlv2ImageProcessor, Owlv2Model: () => Owlv2Model, Owlv2PreTrainedModel: () => Owlv2PreTrainedModel, PaliGemmaForConditionalGeneration: () => PaliGemmaForConditionalGeneration, PaliGemmaProcessor: () => PaliGemmaProcessor, ParakeetFeatureExtractor: () => ParakeetFeatureExtractor, ParakeetForCTC: () => ParakeetForCTC, ParakeetPreTrainedModel: () => ParakeetPreTrainedModel, PatchTSMixerForPrediction: () => PatchTSMixerForPrediction, PatchTSMixerModel: () => PatchTSMixerModel, PatchTSMixerPreTrainedModel: () => PatchTSMixerPreTrainedModel, PatchTSTForPrediction: () => PatchTSTForPrediction, PatchTSTModel: () => PatchTSTModel, PatchTSTPreTrainedModel: () => PatchTSTPreTrainedModel, Phi3ForCausalLM: () => Phi3ForCausalLM, Phi3Model: () => Phi3Model, Phi3PreTrainedModel: () => Phi3PreTrainedModel, Phi3VForCausalLM: () => Phi3VForCausalLM, Phi3VImageProcessor: () => Phi3VImageProcessor, Phi3VPreTrainedModel: () => Phi3VPreTrainedModel, Phi3VProcessor: () => Phi3VProcessor, PhiForCausalLM: () => PhiForCausalLM, PhiModel: () => PhiModel, PhiPreTrainedModel: () => PhiPreTrainedModel, PixtralImageProcessor: () => PixtralImageProcessor, PixtralProcessor: () => PixtralProcessor, PreTrainedModel: () => PreTrainedModel, PreTrainedTokenizer: () => PreTrainedTokenizer, PretrainedConfig: () => PretrainedConfig, Processor: () => Processor, PvtForImageClassification: () => PvtForImageClassification, PvtImageProcessor: () => PvtImageProcessor, PvtModel: () => PvtModel, PvtPreTrainedModel: () => PvtPreTrainedModel, PyAnnoteFeatureExtractor: () => PyAnnoteFeatureExtractor, PyAnnoteForAudioFrameClassification: () => PyAnnoteForAudioFrameClassification, PyAnnoteModel: () => PyAnnoteModel, PyAnnotePreTrainedModel: () => PyAnnotePreTrainedModel, PyAnnoteProcessor: () => PyAnnoteProcessor, QuestionAnsweringPipeline: () => QuestionAnsweringPipeline, Qwen2ForCausalLM: () => Qwen2ForCausalLM, Qwen2Model: () => Qwen2Model, Qwen2MoeForCausalLM: () => Qwen2MoeForCausalLM, Qwen2MoeModel: () => Qwen2MoeModel, Qwen2MoePreTrainedModel: () => Qwen2MoePreTrainedModel, Qwen2PreTrainedModel: () => Qwen2PreTrainedModel, Qwen2Tokenizer: () => Qwen2Tokenizer, Qwen2VLForCausalLM: () => Qwen2VLForCausalLM, Qwen2VLForConditionalGeneration: () => Qwen2VLForConditionalGeneration, Qwen2VLImageProcessor: () => Qwen2VLImageProcessor, Qwen2VLPreTrainedModel: () => Qwen2VLPreTrainedModel, Qwen2VLProcessor: () => Qwen2VLProcessor, Qwen2_5_VLForCausalLM: () => Qwen2_5_VLForCausalLM, Qwen2_5_VLForConditionalGeneration: () => Qwen2_5_VLForConditionalGeneration, Qwen2_5_VLProcessor: () => Qwen2_5_VLProcessor, Qwen3ForCausalLM: () => Qwen3ForCausalLM, Qwen3Model: () => Qwen3Model, Qwen3MoeForCausalLM: () => Qwen3MoeForCausalLM, Qwen3MoeModel: () => Qwen3MoeModel, Qwen3MoePreTrainedModel: () => Qwen3MoePreTrainedModel, Qwen3NextForCausalLM: () => Qwen3NextForCausalLM, Qwen3NextModel: () => Qwen3NextModel, Qwen3NextPreTrainedModel: () => Qwen3NextPreTrainedModel, Qwen3PreTrainedModel: () => Qwen3PreTrainedModel, Qwen3VLForCausalLM: () => Qwen3VLForCausalLM, Qwen3VLForConditionalGeneration: () => Qwen3VLForConditionalGeneration, Qwen3VLMoeForCausalLM: () => Qwen3VLMoeForCausalLM, Qwen3VLMoeForConditionalGeneration: () => Qwen3VLMoeForConditionalGeneration, Qwen3VLProcessor: () => Qwen3VLProcessor, Qwen3_5ForCausalLM: () => Qwen3_5ForCausalLM, Qwen3_5ForConditionalGeneration: () => Qwen3_5ForConditionalGeneration, Qwen3_5MoeForCausalLM: () => Qwen3_5MoeForCausalLM, Qwen3_5MoeForConditionalGeneration: () => Qwen3_5MoeForConditionalGeneration, RFDetrForObjectDetection: () => RFDetrForObjectDetection, RFDetrModel: () => RFDetrModel, RFDetrObjectDetectionOutput: () => RFDetrObjectDetectionOutput, RFDetrPreTrainedModel: () => RFDetrPreTrainedModel, RTDetrForObjectDetection: () => RTDetrForObjectDetection, RTDetrImageProcessor: () => RTDetrImageProcessor, RTDetrModel: () => RTDetrModel, RTDetrObjectDetectionOutput: () => RTDetrObjectDetectionOutput, RTDetrPreTrainedModel: () => RTDetrPreTrainedModel, RTDetrV2ForObjectDetection: () => RTDetrV2ForObjectDetection, RTDetrV2Model: () => RTDetrV2Model, RTDetrV2ObjectDetectionOutput: () => RTDetrV2ObjectDetectionOutput, RTDetrV2PreTrainedModel: () => RTDetrV2PreTrainedModel, RawAudio: () => RawAudio, RawImage: () => RawImage, RawVideo: () => RawVideo, RawVideoFrame: () => RawVideoFrame, RepetitionPenaltyLogitsProcessor: () => RepetitionPenaltyLogitsProcessor, ResNetForImageClassification: () => ResNetForImageClassification, ResNetModel: () => ResNetModel, ResNetPreTrainedModel: () => ResNetPreTrainedModel, RoFormerForMaskedLM: () => RoFormerForMaskedLM, RoFormerForQuestionAnswering: () => RoFormerForQuestionAnswering, RoFormerForSequenceClassification: () => RoFormerForSequenceClassification, RoFormerForTokenClassification: () => RoFormerForTokenClassification, RoFormerModel: () => RoFormerModel, RoFormerPreTrainedModel: () => RoFormerPreTrainedModel, RoFormerTokenizer: () => RoFormerTokenizer, RobertaForMaskedLM: () => RobertaForMaskedLM, RobertaForQuestionAnswering: () => RobertaForQuestionAnswering, RobertaForSequenceClassification: () => RobertaForSequenceClassification, RobertaForTokenClassification: () => RobertaForTokenClassification, RobertaModel: () => RobertaModel, RobertaPreTrainedModel: () => RobertaPreTrainedModel, RobertaTokenizer: () => RobertaTokenizer, Sam2ImageProcessor: () => SamImageProcessor, Sam2ImageSegmentationOutput: () => Sam2ImageSegmentationOutput, Sam2Model: () => Sam2Model, Sam2PreTrainedModel: () => Sam2PreTrainedModel, Sam2Processor: () => Sam2Processor, Sam2VideoProcessor: () => Sam2VideoProcessor, Sam3ImageProcessor: () => SamImageProcessor, Sam3TrackerModel: () => Sam3TrackerModel, SamImageProcessor: () => SamImageProcessor, SamImageSegmentationOutput: () => SamImageSegmentationOutput, SamModel: () => SamModel, SamPreTrainedModel: () => SamPreTrainedModel, SamProcessor: () => SamProcessor, SapiensFeatureExtractor: () => SapiensFeatureExtractor, SapiensForDepthEstimation: () => SapiensForDepthEstimation, SapiensForNormalEstimation: () => SapiensForNormalEstimation, SapiensForSemanticSegmentation: () => SapiensForSemanticSegmentation, SapiensImageProcessor: () => SapiensImageProcessor, SapiensPreTrainedModel: () => SapiensPreTrainedModel, SeamlessM4TFeatureExtractor: () => SeamlessM4TFeatureExtractor, SegformerFeatureExtractor: () => SegformerFeatureExtractor, SegformerForImageClassification: () => SegformerForImageClassification, SegformerForSemanticSegmentation: () => SegformerForSemanticSegmentation, SegformerImageProcessor: () => SegformerImageProcessor, SegformerModel: () => SegformerModel, SegformerPreTrainedModel: () => SegformerPreTrainedModel, SiglipImageProcessor: () => SiglipImageProcessor, SiglipModel: () => SiglipModel, SiglipPreTrainedModel: () => SiglipPreTrainedModel, SiglipTextModel: () => SiglipTextModel, SiglipTokenizer: () => SiglipTokenizer, SiglipVisionModel: () => SiglipVisionModel, SmolLM3ForCausalLM: () => SmolLM3ForCausalLM, SmolLM3Model: () => SmolLM3Model, SmolLM3PreTrainedModel: () => SmolLM3PreTrainedModel, SmolVLMForConditionalGeneration: () => SmolVLMForConditionalGeneration, SmolVLMImageProcessor: () => Idefics3ImageProcessor, SmolVLMProcessor: () => Idefics3Processor, SnacDecoderModel: () => SnacDecoderModel, SnacEncoderModel: () => SnacEncoderModel, SnacFeatureExtractor: () => SnacFeatureExtractor, SnacModel: () => SnacModel, SnacPreTrainedModel: () => SnacPreTrainedModel, SolarOpenForCausalLM: () => SolarOpenForCausalLM, SolarOpenModel: () => SolarOpenModel, SolarOpenPreTrainedModel: () => SolarOpenPreTrainedModel, SpeechT5FeatureExtractor: () => SpeechT5FeatureExtractor, SpeechT5ForSpeechToText: () => SpeechT5ForSpeechToText, SpeechT5ForTextToSpeech: () => SpeechT5ForTextToSpeech, SpeechT5HifiGan: () => SpeechT5HifiGan, SpeechT5Model: () => SpeechT5Model, SpeechT5PreTrainedModel: () => SpeechT5PreTrainedModel, SpeechT5Processor: () => SpeechT5Processor, SpeechT5Tokenizer: () => SpeechT5Tokenizer, SqueezeBertForMaskedLM: () => SqueezeBertForMaskedLM, SqueezeBertForQuestionAnswering: () => SqueezeBertForQuestionAnswering, SqueezeBertForSequenceClassification: () => SqueezeBertForSequenceClassification, SqueezeBertModel: () => SqueezeBertModel, SqueezeBertPreTrainedModel: () => SqueezeBertPreTrainedModel, SqueezeBertTokenizer: () => SqueezeBertTokenizer, StableLmForCausalLM: () => StableLmForCausalLM, StableLmModel: () => StableLmModel, StableLmPreTrainedModel: () => StableLmPreTrainedModel, Starcoder2ForCausalLM: () => Starcoder2ForCausalLM, Starcoder2Model: () => Starcoder2Model, Starcoder2PreTrainedModel: () => Starcoder2PreTrainedModel, StoppingCriteria: () => StoppingCriteria, StoppingCriteriaList: () => StoppingCriteriaList, StyleTextToSpeech2Model: () => StyleTextToSpeech2Model, StyleTextToSpeech2PreTrainedModel: () => StyleTextToSpeech2PreTrainedModel, SummarizationPipeline: () => SummarizationPipeline, SupertonicForConditionalGeneration: () => SupertonicForConditionalGeneration, SupertonicPreTrainedModel: () => SupertonicPreTrainedModel, SuppressTokensAtBeginLogitsProcessor: () => SuppressTokensAtBeginLogitsProcessor, SuppressTokensLogitsProcessor: () => SuppressTokensLogitsProcessor, Swin2SRForImageSuperResolution: () => Swin2SRForImageSuperResolution, Swin2SRImageProcessor: () => Swin2SRImageProcessor, Swin2SRModel: () => Swin2SRModel, Swin2SRPreTrainedModel: () => Swin2SRPreTrainedModel, SwinForImageClassification: () => SwinForImageClassification, SwinForSemanticSegmentation: () => SwinForSemanticSegmentation, SwinModel: () => SwinModel, SwinPreTrainedModel: () => SwinPreTrainedModel, T5ForConditionalGeneration: () => T5ForConditionalGeneration, T5Model: () => T5Model, T5PreTrainedModel: () => T5PreTrainedModel, T5Tokenizer: () => T5Tokenizer, TableTransformerForObjectDetection: () => TableTransformerForObjectDetection, TableTransformerModel: () => TableTransformerModel, TableTransformerObjectDetectionOutput: () => TableTransformerObjectDetectionOutput, TableTransformerPreTrainedModel: () => TableTransformerPreTrainedModel, TemperatureLogitsWarper: () => TemperatureLogitsWarper, Tensor: () => Tensor2, Text2TextGenerationPipeline: () => Text2TextGenerationPipeline, TextClassificationPipeline: () => TextClassificationPipeline, TextGenerationPipeline: () => TextGenerationPipeline, TextStreamer: () => TextStreamer, TextToAudioPipeline: () => TextToAudioPipeline, TokenClassificationPipeline: () => TokenClassificationPipeline, TokenizersBackend: () => PreTrainedTokenizer, TopKLogitsWarper: () => TopKLogitsWarper, TopPLogitsWarper: () => TopPLogitsWarper, TrOCRForCausalLM: () => TrOCRForCausalLM, TrOCRPreTrainedModel: () => TrOCRPreTrainedModel, TranslationPipeline: () => TranslationPipeline, UltravoxModel: () => UltravoxModel, UltravoxPreTrainedModel: () => UltravoxPreTrainedModel, UltravoxProcessor: () => UltravoxProcessor, UniSpeechForCTC: () => UniSpeechForCTC, UniSpeechForSequenceClassification: () => UniSpeechForSequenceClassification, UniSpeechModel: () => UniSpeechModel, UniSpeechPreTrainedModel: () => UniSpeechPreTrainedModel, UniSpeechSatForAudioFrameClassification: () => UniSpeechSatForAudioFrameClassification, UniSpeechSatForCTC: () => UniSpeechSatForCTC, UniSpeechSatForSequenceClassification: () => UniSpeechSatForSequenceClassification, UniSpeechSatModel: () => UniSpeechSatModel, UniSpeechSatPreTrainedModel: () => UniSpeechSatPreTrainedModel, VLChatProcessor: () => VLChatProcessor, VLMImageProcessor: () => VLMImageProcessor, VaultGemmaForCausalLM: () => VaultGemmaForCausalLM, VaultGemmaModel: () => VaultGemmaModel, VaultGemmaPreTrainedModel: () => VaultGemmaPreTrainedModel, ViTFeatureExtractor: () => ViTFeatureExtractor, ViTForImageClassification: () => ViTForImageClassification, ViTImageProcessor: () => ViTImageProcessor, ViTMAEModel: () => ViTMAEModel, ViTMAEPreTrainedModel: () => ViTMAEPreTrainedModel, ViTMSNForImageClassification: () => ViTMSNForImageClassification, ViTMSNModel: () => ViTMSNModel, ViTMSNPreTrainedModel: () => ViTMSNPreTrainedModel, ViTModel: () => ViTModel, ViTPreTrainedModel: () => ViTPreTrainedModel, VisionEncoderDecoderModel: () => VisionEncoderDecoderModel, VitMatteForImageMatting: () => VitMatteForImageMatting, VitMatteImageProcessor: () => VitMatteImageProcessor, VitMattePreTrainedModel: () => VitMattePreTrainedModel, VitPoseForPoseEstimation: () => VitPoseForPoseEstimation, VitPoseImageProcessor: () => VitPoseImageProcessor, VitPosePreTrainedModel: () => VitPosePreTrainedModel, VitsModel: () => VitsModel, VitsModelOutput: () => VitsModelOutput, VitsPreTrainedModel: () => VitsPreTrainedModel, VitsTokenizer: () => VitsTokenizer, VoxtralForConditionalGeneration: () => VoxtralForConditionalGeneration, VoxtralProcessor: () => VoxtralProcessor, VoxtralRealtimeFeatureExtractor: () => VoxtralRealtimeFeatureExtractor, VoxtralRealtimeForConditionalGeneration: () => VoxtralRealtimeForConditionalGeneration, VoxtralRealtimePreTrainedModel: () => VoxtralRealtimePreTrainedModel, VoxtralRealtimeProcessor: () => VoxtralRealtimeProcessor, Wav2Vec2BertForCTC: () => Wav2Vec2BertForCTC, Wav2Vec2BertForSequenceClassification: () => Wav2Vec2BertForSequenceClassification, Wav2Vec2BertModel: () => Wav2Vec2BertModel, Wav2Vec2BertPreTrainedModel: () => Wav2Vec2BertPreTrainedModel, Wav2Vec2CTCTokenizer: () => Wav2Vec2CTCTokenizer, Wav2Vec2FeatureExtractor: () => Wav2Vec2FeatureExtractor, Wav2Vec2ForAudioFrameClassification: () => Wav2Vec2ForAudioFrameClassification, Wav2Vec2ForCTC: () => Wav2Vec2ForCTC, Wav2Vec2ForSequenceClassification: () => Wav2Vec2ForSequenceClassification, Wav2Vec2Model: () => Wav2Vec2Model, Wav2Vec2PreTrainedModel: () => Wav2Vec2PreTrainedModel, Wav2Vec2Processor: () => Wav2Vec2Processor, Wav2Vec2ProcessorWithLM: () => Wav2Vec2ProcessorWithLM, WavLMForAudioFrameClassification: () => WavLMForAudioFrameClassification, WavLMForCTC: () => WavLMForCTC, WavLMForSequenceClassification: () => WavLMForSequenceClassification, WavLMForXVector: () => WavLMForXVector, WavLMModel: () => WavLMModel, WavLMPreTrainedModel: () => WavLMPreTrainedModel, WeSpeakerFeatureExtractor: () => WeSpeakerFeatureExtractor, WeSpeakerResNetModel: () => WeSpeakerResNetModel, WeSpeakerResNetPreTrainedModel: () => WeSpeakerResNetPreTrainedModel, WhisperFeatureExtractor: () => WhisperFeatureExtractor, WhisperForConditionalGeneration: () => WhisperForConditionalGeneration, WhisperModel: () => WhisperModel, WhisperPreTrainedModel: () => WhisperPreTrainedModel, WhisperProcessor: () => WhisperProcessor, WhisperTextStreamer: () => WhisperTextStreamer, WhisperTimeStampLogitsProcessor: () => WhisperTimeStampLogitsProcessor, WhisperTokenizer: () => WhisperTokenizer, XLMForQuestionAnswering: () => XLMForQuestionAnswering, XLMForSequenceClassification: () => XLMForSequenceClassification, XLMForTokenClassification: () => XLMForTokenClassification, XLMModel: () => XLMModel, XLMPreTrainedModel: () => XLMPreTrainedModel, XLMRobertaForMaskedLM: () => XLMRobertaForMaskedLM, XLMRobertaForQuestionAnswering: () => XLMRobertaForQuestionAnswering, XLMRobertaForSequenceClassification: () => XLMRobertaForSequenceClassification, XLMRobertaForTokenClassification: () => XLMRobertaForTokenClassification, XLMRobertaModel: () => XLMRobertaModel, XLMRobertaPreTrainedModel: () => XLMRobertaPreTrainedModel, XLMRobertaTokenizer: () => XLMRobertaTokenizer, XLMTokenizer: () => XLMTokenizer, XLMWithLMHeadModel: () => XLMWithLMHeadModel, XVectorOutput: () => XVectorOutput, YolosFeatureExtractor: () => YolosFeatureExtractor, YolosForObjectDetection: () => YolosForObjectDetection, YolosImageProcessor: () => YolosImageProcessor, YolosModel: () => YolosModel, YolosObjectDetectionOutput: () => YolosObjectDetectionOutput, YolosPreTrainedModel: () => YolosPreTrainedModel, YoutuForCausalLM: () => YoutuForCausalLM, YoutuModel: () => YoutuModel, YoutuPreTrainedModel: () => YoutuPreTrainedModel, ZeroShotAudioClassificationPipeline: () => ZeroShotAudioClassificationPipeline, ZeroShotClassificationPipeline: () => ZeroShotClassificationPipeline, ZeroShotImageClassificationPipeline: () => ZeroShotImageClassificationPipeline, ZeroShotObjectDetectionPipeline: () => ZeroShotObjectDetectionPipeline, cat: () => cat, cos_sim: () => cos_sim, dot: () => dot, env: () => env, full: () => full, full_like: () => full_like, interpolate: () => interpolate, interpolate_4d: () => interpolate_4d, layer_norm: () => layer_norm, load_audio: () => load_audio, load_image: () => load_image, load_video: () => load_video, log_softmax: () => log_softmax, matmul: () => matmul, mean: () => mean, mean_pooling: () => mean_pooling, ones: () => ones, ones_like: () => ones_like, permute: () => permute, pipeline: () => pipeline, quantize_embeddings: () => quantize_embeddings, rand: () => rand, randn: () => randn, random: () => random, read_audio: () => read_audio, rfft: () => rfft, slice: () => slice2, softmax: () => softmax, stack: () => stack2, std_mean: () => std_mean, topk: () => topk, zeros: () => zeros, zeros_like: () => zeros_like }); module2.exports = __toCommonJS2(transformers_exports); var import_node_fs = __toESM2(require("fs"), 1); var import_node_path = __toESM2(require("path"), 1); var import_node_url = __toESM2(require("url"), 1); var import_meta = {}; var VERSION = "4.2.0"; var HAS_SELF = typeof self !== "undefined"; var IS_FS_AVAILABLE = !isEmpty(import_node_fs.default); var IS_PATH_AVAILABLE = !isEmpty(import_node_path.default); var IS_WEB_CACHE_AVAILABLE = HAS_SELF && "caches" in self; var IS_DENO_RUNTIME = typeof globalThis.Deno !== "undefined"; var IS_BUN_RUNTIME = typeof globalThis.Bun !== "undefined"; var IS_DENO_WEB_RUNTIME = IS_DENO_RUNTIME && IS_WEB_CACHE_AVAILABLE && !IS_FS_AVAILABLE; var IS_PROCESS_AVAILABLE = typeof process !== "undefined"; var IS_NODE_ENV = IS_PROCESS_AVAILABLE && process?.release?.name === "node" && !IS_DENO_WEB_RUNTIME; var IS_BROWSER_ENV = typeof window !== "undefined" && typeof window.document !== "undefined"; var IS_WEBWORKER_ENV = HAS_SELF && ["DedicatedWorkerGlobalScope", "ServiceWorkerGlobalScope", "SharedWorkerGlobalScope"].includes( self.constructor?.name ); var IS_WEB_ENV = IS_BROWSER_ENV || IS_WEBWORKER_ENV || IS_DENO_WEB_RUNTIME; var IS_WEBGPU_AVAILABLE = IS_NODE_ENV || typeof navigator !== "undefined" && "gpu" in navigator; var IS_WEBNN_AVAILABLE = typeof navigator !== "undefined" && "ml" in navigator; var IS_CRYPTO_AVAILABLE = typeof crypto !== "undefined" && typeof crypto.getRandomValues === "function"; var IS_CHROME_AVAILABLE = ( // @ts-ignore - chrome may not exist in all environments typeof chrome !== "undefined" && typeof chrome.runtime !== "undefined" && typeof chrome.runtime.id === "string" ); var IS_SERVICE_WORKER_ENV = ( // @ts-ignore - ServiceWorkerGlobalScope may not exist in all environments typeof ServiceWorkerGlobalScope !== "undefined" && HAS_SELF && self instanceof ServiceWorkerGlobalScope ); var isSafari = () => { if (typeof navigator === "undefined") { return false; } const userAgent = navigator.userAgent; const vendor = navigator.vendor || ""; const isAppleVendor = vendor.indexOf("Apple") > -1; const notOtherBrowser = !userAgent.match(/CriOS|FxiOS|EdgiOS|OPiOS|mercury|brave/i) && !userAgent.includes("Chrome") && !userAgent.includes("Android"); return isAppleVendor && notOtherBrowser; }; var IS_SAFARI = isSafari(); var apis = Object.freeze({ /** Whether we are running in a browser environment (and not a web worker) */ IS_BROWSER_ENV, /** Whether we are running in a web worker environment */ IS_WEBWORKER_ENV, /** Whether we are running in a web-like environment (browser, web worker, or Deno web runtime) */ IS_WEB_ENV, /** Whether we are running in a service worker environment */ IS_SERVICE_WORKER_ENV, /** Whether we are running in Deno's web runtime (CDN imports, Cache API available, no filesystem) */ IS_DENO_WEB_RUNTIME, /** Whether the Cache API is available */ IS_WEB_CACHE_AVAILABLE, /** Whether the WebGPU API is available */ IS_WEBGPU_AVAILABLE, /** Whether the WebNN API is available */ IS_WEBNN_AVAILABLE, /** Whether we are running in a Safari browser */ IS_SAFARI, /** Whether the Node.js process API is available */ IS_PROCESS_AVAILABLE, /** Whether we are running in a Node.js-like environment (node, deno, bun) */ IS_NODE_ENV, /** Whether the filesystem API is available */ IS_FS_AVAILABLE, /** Whether the path API is available */ IS_PATH_AVAILABLE, /** Whether the crypto API is available */ IS_CRYPTO_AVAILABLE, /** Whether the Chrome runtime API is available */ IS_CHROME_AVAILABLE }); var RUNNING_LOCALLY = IS_FS_AVAILABLE && IS_PATH_AVAILABLE; var dirname__ = "./"; if (RUNNING_LOCALLY) { const _import_meta_url = Object(import_meta).url; if (_import_meta_url) { dirname__ = import_node_path.default.dirname(import_node_path.default.dirname(import_node_url.default.fileURLToPath(_import_meta_url))); } else if (typeof __dirname !== "undefined") { dirname__ = import_node_path.default.dirname(__dirname); } } var DEFAULT_CACHE_DIR = RUNNING_LOCALLY ? import_node_path.default.join(dirname__, "/.cache/") : null; var DEFAULT_LOCAL_MODEL_PATH = "/models/"; var localModelPath = RUNNING_LOCALLY ? import_node_path.default.join(dirname__, DEFAULT_LOCAL_MODEL_PATH) : DEFAULT_LOCAL_MODEL_PATH; var DEFAULT_FETCH = typeof globalThis.fetch === "function" ? globalThis.fetch.bind(globalThis) : void 0; var LogLevel = Object.freeze({ /** All messages including debug output (value: 10) */ DEBUG: 10, /** Errors, warnings, and info messages (value: 20) */ INFO: 20, /** Errors and warnings (value: 30) */ WARNING: 30, /** Only error messages (value: 40) */ ERROR: 40, /** No logging output (value: 50) */ NONE: 50 }); var logLevel = LogLevel.WARNING; var env = { version: VERSION, /////////////////// Backends settings /////////////////// // NOTE: These will be populated later by the backends themselves. backends: { // onnxruntime-web/onnxruntime-node onnx: {} }, /////////////////// Logging settings /////////////////// get logLevel() { return logLevel; }, set logLevel(level) { logLevel = level; env.backends.onnx?.setLogLevel?.(level); }, /////////////////// Model settings /////////////////// allowRemoteModels: true, remoteHost: "https://huggingface.co/", remotePathTemplate: "{model}/resolve/{revision}/", allowLocalModels: !(IS_BROWSER_ENV || IS_WEBWORKER_ENV || IS_DENO_WEB_RUNTIME), // Default to true for non-web environments, false for web environments localModelPath, useFS: IS_FS_AVAILABLE, /////////////////// Cache settings /////////////////// useBrowserCache: IS_WEB_CACHE_AVAILABLE, useFSCache: IS_FS_AVAILABLE, cacheDir: DEFAULT_CACHE_DIR, useCustomCache: false, customCache: null, useWasmCache: IS_WEB_CACHE_AVAILABLE || IS_FS_AVAILABLE, cacheKey: "transformers-cache", experimental_useCrossOriginStorage: false, /////////////////// Custom fetch ///////////////////// fetch: DEFAULT_FETCH ////////////////////////////////////////////////////// }; function isEmpty(obj) { return Object.keys(obj).length === 0; } var Callable = ( /** @type {any} */ class { /** * Creates a new instance of the Callable class. */ constructor() { let closure = function(...args2) { return closure._call(...args2); }; return Object.setPrototypeOf(closure, new.target.prototype); } /** * This method should be implemented in subclasses to provide the * functionality of the callable object. * * @param {any[]} args * @throws {Error} If the subclass does not implement the `_call` method. */ _call(...args2) { throw Error("Must implement _call method in subclass"); } } ); function dispatchCallback(progress_callback, data) { if (progress_callback) progress_callback(data); } var DefaultProgressCallback = class extends Callable { /** * @param {ProgressCallback} callback The original callback. * @param {FilesLoadingMap} files_loading Mutable map storing per-file progress. */ constructor(callback, files_loading) { super(); this.callback = callback; this.files_loading = files_loading; } /** * @param {ProgressInfo} info */ _call(info) { if (info.status === "progress") { this.files_loading[info.file] = { loaded: info.loaded, total: info.total }; const loaded = Object.values(this.files_loading).reduce((acc, curr) => acc + curr.loaded, 0); const total = Object.values(this.files_loading).reduce((acc, curr) => acc + curr.total, 0); const progress = total > 0 ? loaded / total * 100 : 0; this.callback({ status: "progress_total", name: info.name, progress, loaded, total, files: structuredClone(this.files_loading) }); } this.callback(info); } }; function isIntegralNumber(x) { return Number.isInteger(x) || typeof x === "bigint"; } function isNullishDimension(x) { return x === null || x === void 0 || x === -1; } function calculateDimensions(arr) { const dimensions = []; let current = arr; while (Array.isArray(current)) { dimensions.push(current.length); current = current[0]; } return dimensions; } function mergeArrays(...arrs) { return Array.prototype.concat.apply([], arrs); } function product(...a) { return a.reduce((a2, b) => a2.flatMap((d) => b.map((e) => [d, e]))); } function calculateReflectOffset(i, w) { return Math.abs((i + w) % (2 * w) - w); } function pick(o, props) { return Object.assign( {}, ...props.map((prop) => { if (o[prop] !== void 0) { return { [prop]: o[prop] }; } }) ); } function count(arr, value) { let count2 = 0; for (const v of arr) { if (v === value) ++count2; } return count2; } var logger = { /** * Log an error message. Only suppressed when logLevel is NONE. * @param {...any} args - Arguments to log */ error(...args2) { if (env.logLevel <= LogLevel.ERROR) { console.error(...args2); } }, /** * Log a warning message. Shown when logLevel <= WARNING. * @param {...any} args - Arguments to log */ warn(...args2) { if (env.logLevel <= LogLevel.WARNING) { console.warn(...args2); } }, /** * Log an info message. Shown when logLevel <= INFO. * @param {...any} args - Arguments to log */ info(...args2) { if (env.logLevel <= LogLevel.INFO) { console.log(...args2); } }, /** * Log a debug message. Only shown when logLevel is DEBUG. * @param {...any} args - Arguments to log */ debug(...args2) { if (env.logLevel <= LogLevel.DEBUG) { console.log(...args2); } }, /** * Log a message (alias for info). Shown when logLevel <= INFO. * @param {...any} args - Arguments to log */ log(...args2) { this.info(...args2); } }; var DictionarySplitter = class { /** * @param dictionary The dictionary of words to use for splitting. */ constructor(dictionary) { this.trie = this._build_trie(dictionary); } /** * Builds a trie from the given dictionary. * @param dictionary The dictionary of words to build the trie from. * @returns The root node of the trie. * @private */ _build_trie(dictionary) { const trie = /* @__PURE__ */ Object.create(null); for (const word of dictionary) { let node = trie; for (let i = 0; i < word.length; ++i) { const char = word[i]; node = node[char] ??= /* @__PURE__ */ Object.create(null); } node.end = word; } return trie; } /** * Splits the input text into tokens based on the dictionary. * @param text The input text to split. * @returns An array of tokens. */ split(text) { const result = []; const n = text.length; let start = 0; let i = 0; while (i < n) { let node = this.trie; let match = null; let j = i; while (j < n && (node = node[text[j]])) { if (node.end) { match = node.end; } ++j; } if (match) { if (i > start) { result.push(text.slice(start, i)); } result.push(match); i += match.length; start = i; } else { ++i; } } if (start < n) { result.push(text.slice(start)); } return result; } }; var DictionarySplitter_default = DictionarySplitter; var AddedToken = class { /** * Creates a new instance of AddedToken. * @param config Added token configuration object. */ constructor(config) { this.content = config.content; this.id = config.id; this.single_word = config.single_word ?? false; this.lstrip = config.lstrip ?? false; this.rstrip = config.rstrip ?? false; this.special = config.special ?? false; this.normalized = config.normalized ?? !this.special; } }; var AddedToken_default = AddedToken; var BYTES_TO_UNICODE = (() => { const bs2 = [ ...Array.from( { length: "~".charCodeAt(0) - "!".charCodeAt(0) + 1 }, (_, i) => i + "!".charCodeAt(0) ), ...Array.from( { length: "\xAC".charCodeAt(0) - "\xA1".charCodeAt(0) + 1 }, (_, i) => i + "\xA1".charCodeAt(0) ), ...Array.from( { length: "\xFF".charCodeAt(0) - "\xAE".charCodeAt(0) + 1 }, (_, i) => i + "\xAE".charCodeAt(0) ) ]; const cs2 = bs2.slice(); let n = 0; for (let b = 0; b < 256; ++b) { if (!bs2.includes(b)) { bs2.push(b); cs2.push(256 + n); n += 1; } } const ccs = cs2.map((n2) => String.fromCharCode(n2)); return Object.fromEntries(bs2.map((b, i) => [b, ccs[i]])); })(); var reverse_dictionary = (data) => Object.fromEntries(Object.entries(data).map(([key, value]) => [value, key])); var UNICODE_TO_BYTES = reverse_dictionary(BYTES_TO_UNICODE); var BLOOM_SPLIT_CHARS = ".,!?\u2026\u3002\uFF0C\u3001\u0964\u06D4\u060C"; var PROBLEMATIC_REGEX_MAP = /* @__PURE__ */ new Map([ // These uses the case insensitive group modifier, which is not supported in JavaScript. // When parsing the regex, an "Invalid group" error is thrown. [ "(?i:'s|'t|'re|'ve|'m|'ll|'d)", "(?:'([sS]|[tT]|[rR][eE]|[vV][eE]|[mM]|[lL][lL]|[dD]))" ], [ "(?i:[sdmt]|ll|ve|re)", "(?:[sS]|[dD]|[mM]|[tT]|[lL][lL]|[vV][eE]|[rR][eE])" ], // JS doesn't support possessive quantifiers (these are used in recent OpenAI tokenizers). ["[^\\r\\n\\p{L}\\p{N}]?+", "[^\\r\\n\\p{L}\\p{N}]?"], ["[^\\s\\p{L}\\p{N}]++", "[^\\s\\p{L}\\p{N}]+"], // JS doesn't support atomic groups (these are used in AFMoE tokenizers). ["(?>\\p{Nd}{510})", "(?:\\p{Nd}{510})"], // JS doesn't support stacking quantifiers. // Uncaught SyntaxError: Invalid regular expression: /\p{Nd}{3}+/u: Nothing to repeat ["\\p{Nd}{3}+", "(?:\\p{Nd}{3})+"], // \G is an invalid escape in JS, and in most cases is just used as an optimization. // So, we can safely remove it. ["\\G", ""], // Used to override the default (invalid) regex of the bloom pretokenizer. // For more information, see https://github.com/huggingface/transformers.js/issues/94 [` ?[^(\\s|[${BLOOM_SPLIT_CHARS}])]+`, ` ?[^\\s${BLOOM_SPLIT_CHARS}]+`] ]); var PUNCTUATION_REGEX = "\\p{P}\\u0021-\\u002F\\u003A-\\u0040\\u005B-\\u0060\\u007B-\\u007E"; var clean_up_tokenization = (text) => text.replace(/ \./g, ".").replace(/ \?/g, "?").replace(/ \!/g, "!").replace(/ ,/g, ",").replace(/ \' /g, "'").replace(/ n't/g, "n't").replace(/ 'm/g, "'m").replace(/ 's/g, "'s").replace(/ 've/g, "'ve").replace(/ 're/g, "'re"); var create_pattern = (pattern, invert = true) => { if (pattern.Regex !== void 0) { let regex = pattern.Regex.replace(/\\([#&~])/g, "$1"); regex = regex.replace(/\\A/g, "^").replace(/\\z/g, "$").replace(/\\Z/g, "(?=\\r?\\n?$)"); for (const [key, value] of PROBLEMATIC_REGEX_MAP) { regex = regex.replaceAll(key, value); } try { return new RegExp(regex, "gu"); } catch (error) { if (!(error instanceof SyntaxError) || !error.message.toLowerCase().includes("invalid property name")) throw error; let changed = false; const fixed = regex.replace(/(\\[pP])\{([^}=]+)\}/g, (_, p, n) => { try { new RegExp(`\\p{${n}}`, "u"); return `${p}{${n}}`; } catch { changed = true; return `${p}{Script=${n}}`; } }); if (!changed) throw error; try { return new RegExp(fixed, "gu"); } catch (e) { throw error; } } } else if (pattern.String !== void 0) { const escaped = escape_reg_exp(pattern.String); return new RegExp(invert ? escaped : `(${escaped})`, "gu"); } else { console.warn("Unknown pattern type:", pattern); return null; } }; var escape_reg_exp = (string) => string.replace(/[.*+?^${}()|[\]\\]/g, "\\$&"); var fuse_unk = (arr, tokens_to_ids, unk_token_id) => { const fused = []; let i = 0; while (i < arr.length) { fused.push(arr[i]); const token_id = tokens_to_ids.get(arr[i]) ?? unk_token_id; if (token_id !== unk_token_id) { ++i; continue; } while (++i < arr.length && (tokens_to_ids.get(arr[i]) ?? unk_token_id) === unk_token_id) { if (tokens_to_ids.get(fused.at(-1)) !== unk_token_id) { fused[fused.length - 1] += arr[i]; } } } return fused; }; var is_chinese_char = (cp) => cp >= 19968 && cp <= 40959 || cp >= 13312 && cp <= 19903 || cp >= 131072 && cp <= 173791 || cp >= 173824 && cp <= 177983 || cp >= 177984 && cp <= 178207 || cp >= 178208 && cp <= 183983 || cp >= 63744 && cp <= 64255 || cp >= 194560 && cp <= 195103; var is_integral_number = (x) => Number.isInteger(x) || typeof x === "bigint"; var len = (s) => { let length = 0; for (const c of s) ++length; return length; }; var lowercase_and_remove_accents = (text) => remove_accents(text.toLowerCase()); var merge_arrays = (...arrs) => Array.prototype.concat.apply([], arrs); var object_to_map = (obj) => new Map(Object.entries(obj)); var regex_split = (text, regex) => { const result = []; let prev = 0; for (const match of text.matchAll(regex)) { const full_match = match[0]; if (prev < match.index) { result.push(text.slice(prev, match.index)); } if (full_match.length > 0) { result.push(full_match); } prev = match.index + full_match.length; } if (prev < text.length) { result.push(text.slice(prev)); } return result; }; var remove_accents = (text) => text.replace(/\p{M}/gu, ""); var validate_object = (obj, name, required_keys = []) => { if (!obj || Array.isArray(obj) || typeof obj !== "object") { return `${name} must be a valid object`; } for (const key of required_keys) { if (!(key in obj)) { return `${name} must contain a "${key}" property`; } } return null; }; var whitespace_split = (text) => text.match(/\S+/g) || []; var Callable2 = class { /** * Creates a new instance of the Callable class. */ constructor() { const closure = function(...args2) { return closure._call(...args2); }; return Object.setPrototypeOf(closure, new.target.prototype); } }; var Callable_default = Callable2; var Normalizer = class extends Callable_default { /** * @param config The configuration object for the normalizer. */ constructor(config) { super(); this.config = config; } /** * Alias for {@link Normalizer#normalize}. * @param text The text to normalize. * @returns The normalized text. */ _call(text) { return this.normalize(text); } }; var Normalizer_default = Normalizer; var BertNormalizer = class extends Normalizer_default { /** * Adds whitespace around any CJK (Chinese, Japanese, or Korean) character in the input text. * * @param text The input text to tokenize. * @returns The tokenized text with whitespace added around CJK characters. */ tokenize_chinese_chars(text) { const output = []; for (let i = 0; i < text.length; ++i) { const char = text[i]; const cp = char.charCodeAt(0); if (is_chinese_char(cp)) { output.push(" "); output.push(char); output.push(" "); } else { output.push(char); } } return output.join(""); } /** * Strips accents from the given text. * @param text The text to strip accents from. * @returns The text with accents removed. */ strip_accents(text) { return text.normalize("NFD").replace(/\p{Mn}/gu, ""); } /** * Checks whether `char` is a control character. * @param char The character to check. * @returns Whether `char` is a control character. */ is_control(char) { switch (char) { case " ": case "\n": case "\r": return false; default: return /^\p{Cc}|\p{Cf}|\p{Co}|\p{Cs}$/u.test(char); } } /** * Performs invalid character removal and whitespace cleanup on text. * @param text The text to clean. * @returns The cleaned text. */ clean_text(text) { const output = []; for (const char of text) { const cp = char.charCodeAt(0); if (cp === 0 || cp === 65533 || this.is_control(char)) { continue; } if (/^\s$/.test(char)) { output.push(" "); } else { output.push(char); } } return output.join(""); } /** * Normalizes the given text based on the configuration. * @param text The text to normalize. * @returns The normalized text. */ normalize(text) { if (this.config.clean_text) { text = this.clean_text(text); } if (this.config.handle_chinese_chars) { text = this.tokenize_chinese_chars(text); } if (this.config.lowercase) { text = text.toLowerCase(); if (this.config.strip_accents !== false) { text = this.strip_accents(text); } } else if (this.config.strip_accents) { text = this.strip_accents(text); } return text; } }; var BertNormalizer_default = BertNormalizer; var Precompiled = class extends Normalizer_default { /** * Create a new instance of Precompiled normalizer. * @param config The configuration object. */ constructor(config) { super(config); this.charsmap = config.precompiled_charsmap ?? null; } /** * Normalizes the given text by applying the precompiled charsmap. * @param text The text to normalize. * @returns The normalized text. */ normalize(text) { text = text.replace( /[\u0001-\u0008\u000B\u000E-\u001F\u007F\u008F\u009F]/gm, "" ); text = text.replace( /[\u0009\u000A\u000C\u000D\u00A0\u1680\u2000-\u200F\u2028\u2029\u202F\u205F\u2581\u3000\uFEFF\uFFFD]/gm, " " ); if (text.includes("\uFF5E")) { const parts = text.split("\uFF5E"); text = parts.map((part) => part.normalize("NFKC")).join("\uFF5E"); } else { text = text.normalize("NFKC"); } return text; } }; var Precompiled_default = Precompiled; var Sequence = class extends Normalizer_default { /** * Create a new instance of NormalizerSequence. * @param config The configuration object. */ constructor(config) { super(config); this.normalizers = (config.normalizers ?? []).map( (x) => create_normalizer_default(x) ); } /** * Apply a sequence of Normalizers to the input text. * @param text The text to normalize. * @returns The normalized text. */ normalize(text) { return this.normalizers.reduce((t, normalizer) => { return normalizer ? normalizer.normalize(t) : t; }, text); } }; var Sequence_default = Sequence; var Replace = class extends Normalizer_default { /** * Normalize the input text by replacing the pattern with the content. * @param text The input text to be normalized. * @returns The normalized text after replacing the pattern with the content. */ normalize(text) { const pattern = create_pattern(this.config.pattern ?? {}); return pattern === null ? text : text.replaceAll(pattern, this.config.content ?? ""); } }; var Replace_default = Replace; var UnicodeNormalizer = class extends Normalizer_default { constructor() { super(...arguments); this.form = "NFC"; } /** * Normalize the input text by applying Unicode normalization. * @param text The input text to be normalized. * @returns The normalized text. */ normalize(text) { text = text.normalize(this.form); return text; } }; var UnicodeNormalizer_default = UnicodeNormalizer; var NFC = class extends UnicodeNormalizer_default { constructor() { super(...arguments); this.form = "NFC"; } }; var NFC_default = NFC; var NFD = class extends UnicodeNormalizer_default { constructor() { super(...arguments); this.form = "NFD"; } }; var NFD_default = NFD; var NFKC = class extends UnicodeNormalizer_default { constructor() { super(...arguments); this.form = "NFKC"; } }; var NFKC_default = NFKC; var NFKD = class extends UnicodeNormalizer_default { constructor() { super(...arguments); this.form = "NFKD"; } }; var NFKD_default = NFKD; var Strip = class extends Normalizer_default { /** * Strip leading and/or trailing whitespace from the input text. * @param text The input text. * @returns The normalized text. */ normalize(text) { if (this.config.strip_left && this.config.strip_right) { text = text.trim(); } else { if (this.config.strip_left) { text = text.trimStart(); } if (this.config.strip_right) { text = text.trimEnd(); } } return text; } }; var Strip_default = Strip; var StripAccents = class extends Normalizer_default { /** * Remove all accents from the text. * @param text The input text. * @returns The normalized text without accents. */ normalize(text) { return remove_accents(text); } }; var StripAccents_default = StripAccents; var Lowercase = class extends Normalizer_default { /** * Lowercases the input string. * @param {string} text The text to normalize. * @returns {string} The normalized text. */ normalize(text) { return text.toLowerCase(); } }; var Lowercase_default = Lowercase; var Prepend = class extends Normalizer_default { /** * Prepends the input string. * @param text The text to normalize. * @returns The normalized text. */ normalize(text) { text = this.config.prepend + text; return text; } }; var Prepend_default = Prepend; function create_normalizer(config) { if (config === null) return null; switch (config.type) { case "BertNormalizer": return new BertNormalizer_default(config); case "Precompiled": return new Precompiled_default(config); case "Sequence": return new Sequence_default(config); case "Replace": return new Replace_default(config); case "NFC": return new NFC_default(config); case "NFD": return new NFD_default(config); case "NFKC": return new NFKC_default(config); case "NFKD": return new NFKD_default(config); case "Strip": return new Strip_default(config); case "StripAccents": return new StripAccents_default(config); case "Lowercase": return new Lowercase_default(config); case "Prepend": return new Prepend_default(config); default: throw new Error(`Unknown Normalizer type: ${config.type}`); } } var create_normalizer_default = create_normalizer; var PreTokenizer = class extends Callable_default { /** * Tokenizes the given text into pre-tokens. * @param text The text or array of texts to pre-tokenize. * @param options Additional options for the pre-tokenization logic. * @returns An array of pre-tokens. */ pre_tokenize(text, options) { return (Array.isArray(text) ? text.map((x) => this.pre_tokenize_text(x, options)) : this.pre_tokenize_text(text, options)).flat(); } /** * Alias for {@link PreTokenizer#pre_tokenize}. * @param text The text or array of texts to pre-tokenize. * @param options Additional options for the pre-tokenization logic. * @returns An array of pre-tokens. */ _call(text, options) { return this.pre_tokenize(text, options); } }; var PreTokenizer_default = PreTokenizer; var ByteLevel = class extends PreTokenizer_default { /** * Creates a new instance of the `ByteLevelPreTokenizer` class. * @param config The configuration object. */ constructor(config) { super(); this.config = config; this.add_prefix_space = this.config.add_prefix_space ?? false; this.trim_offsets = this.config.trim_offsets ?? false; this.use_regex = this.config.use_regex ?? true; this.pattern = /'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+/gu; this.byte_encoder = BYTES_TO_UNICODE; this.text_encoder = new TextEncoder(); } /** * Tokenizes a single piece of text using byte-level tokenization. * @param text The text to tokenize. * @param options Additional options for the pre-tokenization logic. * @returns An array of tokens. */ pre_tokenize_text(text, options) { if (this.add_prefix_space && !text.startsWith(" ")) { text = " " + text; } const tokens = this.use_regex ? text.match(this.pattern) || [] : [text]; return tokens.map( (token) => Array.from( this.text_encoder.encode(token), (byte) => this.byte_encoder[byte] ).join("") ); } }; var ByteLevel_default = ByteLevel; var Whitespace = class extends PreTokenizer_default { /** * Pre-tokenizes the input text by splitting it on word boundaries. * @param text The text to be pre-tokenized. * @param options Additional options for the pre-tokenization logic. * @returns An array of tokens produced by splitting the input text on whitespace. */ pre_tokenize_text(text, options) { return text.match(/\w+|[^\w\s]+/g) || []; } }; var Whitespace_default = Whitespace; var Metaspace = class extends PreTokenizer_default { /** * @param config The configuration object for the MetaspacePreTokenizer. */ constructor(config) { super(); this.replacement = config.replacement ?? "\u2581"; this.str_rep = config.str_rep || this.replacement; this.prepend_scheme = config.prepend_scheme ?? "always"; } /** * This method takes a string, replaces spaces with the replacement character, * adds a prefix space if requested, and returns a new list of tokens. * @param text The text to pre-tokenize. * @param options The options for the pre-tokenization. * @returns A new list of pre-tokenized tokens. */ pre_tokenize_text(text, options) { const { section_index = void 0 } = options ?? {}; let normalized = text.replaceAll(" ", this.str_rep); if ( // We add a prefix space if: // (1) The normalized token does not already start with the replacement character. !normalized.startsWith(this.replacement) && // and (2) either: // (a) prepend_scheme is 'always' // (b) prepend_scheme is 'first' and this is the first section (this.prepend_scheme === "always" || this.prepend_scheme === "first" && section_index === 0) ) { normalized = this.str_rep + normalized; } return [normalized]; } }; var Metaspace_default = Metaspace; var Split = class extends PreTokenizer_default { /** * @param config The configuration options for the pre-tokenizer. */ constructor(config) { super(); this.config = config; this.pattern = create_pattern( this.config.pattern ?? {}, this.config.invert ?? true ); } /** * Tokenizes text by splitting it using the given pattern. * @param text The text to tokenize. * @returns An array of tokens. */ pre_tokenize_text(text) { if (this.pattern === null) { return []; } if (this.config.invert) { return text.match(this.pattern) || []; } else if (this.config.behavior?.toLowerCase() === "removed") { return text.split(this.pattern).filter((x) => x); } else { return regex_split(text, this.pattern); } } }; var Split_default = Split; var Punctuation = class extends PreTokenizer_default { /** * @param config The configuration options for the pre-tokenizer. */ constructor(config) { super(); this.config = config; this.pattern = new RegExp( `[^${PUNCTUATION_REGEX}]+|[${PUNCTUATION_REGEX}]+`, "gu" ); } /** * Tokenizes text by splitting it using the given pattern. * @param text The text to tokenize. * @returns An array of tokens. */ pre_tokenize_text(text) { return text.match(this.pattern) || []; } }; var Punctuation_default = Punctuation; var Digits = class extends PreTokenizer_default { /** * @param config The configuration options for the pre-tokenizer. */ constructor(config) { super(); this.config = config; const digit_pattern = `[^\\d]+|\\d${this.config.individual_digits ? "" : "+"}`; this.pattern = new RegExp(digit_pattern, "gu"); } /** * Tokenizes text by splitting it using the given pattern. * @param text The text to tokenize. * @returns An array of tokens. */ pre_tokenize_text(text) { return text.match(this.pattern) || []; } }; var Digits_default = Digits; var BertPreTokenizer = class extends PreTokenizer_default { /** * A PreTokenizer that splits text into wordpieces using a basic tokenization scheme * similar to that used in the original implementation of BERT. */ constructor() { super(); this.pattern = new RegExp( `[^\\s${PUNCTUATION_REGEX}]+|[${PUNCTUATION_REGEX}]`, "gu" ); } /** * Tokenizes a single text using the BERT pre-tokenization scheme. * * @param text The text to tokenize. * @param options Additional options for the pre-tokenization logic. * @returns An array of tokens. */ pre_tokenize_text(text, options) { return text.trim().match(this.pattern) || []; } }; var BertPreTokenizer_default = BertPreTokenizer; var Replace2 = class extends PreTokenizer_default { /** * @param config The configuration options for the pre-tokenizer. */ constructor(config) { super(); this.config = config; this.pattern = create_pattern(this.config.pattern ?? {}); this.content = this.config.content ?? ""; } /** * Pre-tokenizes the input text by replacing certain characters. * @param text The text to be pre-tokenized. * @returns An array of tokens produced by replacing certain characters. */ pre_tokenize_text(text) { if (this.pattern === null) { return [text]; } return [text.replaceAll(this.pattern, this.config.content ?? "")]; } }; var Replace_default2 = Replace2; var Sequence2 = class extends PreTokenizer_default { /** * Creates an instance of PreTokenizerSequence. * @param config The configuration object for the pre-tokenizer sequence. */ constructor(config) { super(); this.tokenizers = (config.pretokenizers ?? []).map( (x) => create_pre_tokenizer_default(x) ); } /** * Applies each pre-tokenizer in the sequence to the input text in turn. * @param text The text to pre-tokenize. * @param options Additional options for the pre-tokenization logic. * @returns The pre-tokenized text. */ pre_tokenize_text(text, options) { return this.tokenizers.reduce( (pre_tokenized_text, tokenizer) => { return tokenizer ? tokenizer.pre_tokenize(pre_tokenized_text, options) : pre_tokenized_text; }, [text] ); } }; var Sequence_default2 = Sequence2; var WhitespaceSplit = class extends PreTokenizer_default { /** * Pre-tokenizes the input text by splitting it on whitespace characters. * @param text The text to be pre-tokenized. * @returns An array of tokens produced by splitting the input text on whitespace. */ pre_tokenize_text(text) { return whitespace_split(text); } }; var WhitespaceSplit_default = WhitespaceSplit; var FixedLength = class extends PreTokenizer_default { /** * @param config The configuration options for the pre-tokenizer. */ constructor(config) { super(); this.config = config; this._length = config.length; } /** * Pre-tokenizes the input text by splitting it into fixed-length tokens. * @param text The text to be pre-tokenized. * @returns An array of tokens produced by splitting the input text into fixed-length tokens. */ pre_tokenize_text(text) { const tokens = []; for (let i = 0; i < text.length; i += this._length) { tokens.push(text.slice(i, i + this._length)); } return tokens; } }; var FixedLength_default = FixedLength; function create_pre_tokenizer(config) { if (config === null) return null; switch (config.type) { case "BertPreTokenizer": return new BertPreTokenizer_default(); case "Sequence": return new Sequence_default2(config); case "Whitespace": return new Whitespace_default(); case "WhitespaceSplit": return new WhitespaceSplit_default(); case "Metaspace": return new Metaspace_default(config); case "ByteLevel": return new ByteLevel_default(config); case "Split": return new Split_default(config); case "Punctuation": return new Punctuation_default(config); case "Digits": return new Digits_default(config); case "Replace": return new Replace_default2(config); case "FixedLength": return new FixedLength_default(config); default: throw new Error(`Unknown PreTokenizer type: ${config.type}`); } } var create_pre_tokenizer_default = create_pre_tokenizer; var TokenizerModel = class extends Callable_default { /** * Creates a new instance of TokenizerModel. * @param config The configuration object for the TokenizerModel. */ constructor(config) { super(); this.config = config; this.vocab = []; this.tokens_to_ids = /* @__PURE__ */ new Map(); this.unk_token_id = void 0; this.unk_token = void 0; this.end_of_word_suffix = void 0; this.fuse_unk = this.config.fuse_unk ?? false; } /** * Internal function to call the TokenizerModel instance. * @param tokens The tokens to encode. * @returns The encoded tokens. */ _call(tokens) { let result = this.encode(tokens); if (this.fuse_unk) { result = fuse_unk(result, this.tokens_to_ids, this.unk_token_id); } return result; } }; var TokenizerModel_default = TokenizerModel; var WordPieceTokenizer = class extends TokenizerModel_default { /** * @param config The configuration object. */ constructor(config) { super(config); this.max_input_chars_per_word = 100; this.tokens_to_ids = object_to_map(config.vocab); this.unk_token_id = this.tokens_to_ids.get(config.unk_token); this.unk_token = config.unk_token; this.max_input_chars_per_word = config.max_input_chars_per_word ?? 100; this.vocab = new Array(this.tokens_to_ids.size); for (const [key, value] of this.tokens_to_ids) { this.vocab[value] = key; } } /** * Encodes an array of tokens using WordPiece encoding. * @param tokens The tokens to encode. * @returns An array of encoded tokens. */ encode(tokens) { const output_tokens = []; for (const token of tokens) { const chars = [...token]; if (chars.length > this.max_input_chars_per_word) { output_tokens.push(this.unk_token); continue; } let is_unknown = false; let start = 0; const sub_tokens = []; while (start < chars.length) { let end = chars.length; let current_substring = null; while (start < end) { let substr = chars.slice(start, end).join(""); if (start > 0) { substr = this.config.continuing_subword_prefix + substr; } if (this.tokens_to_ids.has(substr)) { current_substring = substr; break; } --end; } if (current_substring === null) { is_unknown = true; break; } sub_tokens.push(current_substring); start = end; } if (is_unknown) { output_tokens.push(this.unk_token); } else { output_tokens.push(...sub_tokens); } } return output_tokens; } }; var WordPiece_default = WordPieceTokenizer; var CharTrieNode = class _CharTrieNode { /** * Create a new CharTrieNode. * @param is_leaf Whether the node is a leaf node or not. * @param children A map containing the node's children, where the key is a character and the value is a `CharTrieNode`. */ constructor(is_leaf, children) { this.is_leaf = is_leaf; this.children = children; } /** * Returns a new `CharTrieNode` instance with default values. * @returns A new `CharTrieNode` instance with `is_leaf` set to `false` and an empty `children` map. */ static default() { return new _CharTrieNode(false, /* @__PURE__ */ new Map()); } }; var CharTrie = class { constructor() { this.root = CharTrieNode.default(); } /** * Adds one or more `texts` to the trie. * @param texts The strings to add to the trie. */ extend(texts) { for (const text of texts) { this.push(text); } } /** * Adds text to the trie. * @param text The string to add to the trie. */ push(text) { let node = this.root; for (const ch of text) { let child = node.children.get(ch); if (child === void 0) { child = CharTrieNode.default(); node.children.set(ch, child); } node = child; } node.is_leaf = true; } /** * Searches the trie for all strings with a common prefix of `text`. * @param text The common prefix to search for. * @yields Each string in the trie that has `text` as a prefix. */ *common_prefix_search(text) { let node = this.root; if (node === void 0) return; let prefix = ""; for (const ch of text) { prefix += ch; node = node.children.get(ch); if (node === void 0) return; if (node.is_leaf) { yield prefix; } } } }; var CharTrie_default = CharTrie; var TokenLatticeNode = class _TokenLatticeNode { /** * Represents a node in a token lattice for a given sentence. * @param token_id The ID of the token associated with this node. * @param node_id The ID of this node. * @param pos The starting position of the token in the sentence. * @param length The length of the token. * @param score The score associated with the token. */ constructor(token_id, node_id, pos, length, score) { this.token_id = token_id; this.node_id = node_id; this.pos = pos; this.length = length; this.score = score; this.prev = null; this.backtrace_score = 0; } /** * Returns a clone of this node. * @returns A clone of this node. */ clone() { const n = new _TokenLatticeNode( this.token_id, this.node_id, this.pos, this.length, this.score ); n.prev = this.prev; n.backtrace_score = this.backtrace_score; return n; } }; var TokenLattice = class { /** * Creates a new TokenLattice instance. * * @param sentence The input sentence to be tokenized. * @param bos_token_id The beginning-of-sequence token ID. * @param eos_token_id The end-of-sequence token ID. */ constructor(sentence, bos_token_id, eos_token_id) { this.chars = Array.from(sentence); this.len = this.chars.length; this.bos_token_id = bos_token_id; this.eos_token_id = eos_token_id; this.nodes = []; this.begin_nodes = Array.from( { length: this.len + 1 }, () => [] ); this.end_nodes = Array.from({ length: this.len + 1 }, () => []); const bos = new TokenLatticeNode(this.bos_token_id ?? 0, 0, 0, 0, 0); const eos = new TokenLatticeNode( this.eos_token_id ?? 0, 1, this.len, 0, 0 ); this.nodes.push(bos.clone()); this.nodes.push(eos.clone()); this.begin_nodes[this.len].push(eos); this.end_nodes[0].push(bos); } /** * Inserts a new token node into the token lattice. * * @param pos The starting position of the token. * @param length The length of the token. * @param score The score of the token. * @param token_id The token ID of the token. */ insert(pos, length, score, token_id) { const node_id = this.nodes.length; const node = new TokenLatticeNode(token_id, node_id, pos, length, score); this.begin_nodes[pos].push(node); this.end_nodes[pos + length].push(node); this.nodes.push(node); } /** * Implements the Viterbi algorithm to compute the most likely sequence of tokens. * * @returns The most likely sequence of tokens. */ viterbi() { const len2 = this.len; let pos = 0; while (pos <= len2) { if (this.begin_nodes[pos].length == 0) { return []; } for (let rnode of this.begin_nodes[pos]) { rnode.prev = null; let best_score = 0; let best_node = null; for (let lnode of this.end_nodes[pos]) { const score = lnode.backtrace_score + rnode.score; if (best_node === null || score > best_score) { best_node = lnode.clone(); best_score = score; } } if (best_node !== null) { rnode.prev = best_node; rnode.backtrace_score = best_score; } else { return []; } } ++pos; } const results = []; const root = this.begin_nodes[len2][0]; const prev = root.prev; if (prev === null) { return []; } let node = prev.clone(); while (node.prev !== null) { results.push(node.clone()); const n = node.clone(); node = n.prev.clone(); } results.reverse(); return results; } /** * Get the text piece for a given node. * @param node The node to get the piece for. * @returns The array of nodes representing the most likely sequence of tokens. */ piece(node) { return this.chars.slice(node.pos, node.pos + node.length).join(""); } /** * @returns The most likely sequence of tokens. */ tokens() { const nodes = this.viterbi(); return nodes.map((x) => this.piece(x)); } /** * @returns The most likely sequence of token ids. */ token_ids() { const nodes = this.viterbi(); return nodes.map((x) => x.token_id); } }; var TokenLattice_default = TokenLattice; function min(arr) { if (arr.length === 0) throw new Error("Array must not be empty"); let min_value = arr[0]; let index_of_min = 0; for (let i = 1; i < arr.length; ++i) { if (arr[i] < min_value) { min_value = arr[i]; index_of_min = i; } } return [min_value, index_of_min]; } var Unigram = class extends TokenizerModel_default { /** * Create a new Unigram tokenizer model. * @param config The configuration object for the Unigram model. * @param eos_token */ constructor(config, eos_token) { super(config); const vocab_size = config.vocab.length; this.vocab = new Array(vocab_size); this.scores = new Array(vocab_size); for (let i = 0; i < vocab_size; ++i) { [this.vocab[i], this.scores[i]] = config.vocab[i]; } this.unk_token_id = config.unk_id; this.unk_token = this.vocab[config.unk_id]; this.tokens_to_ids = new Map(this.vocab.map((x, i) => [x, i])); this.bos_token = " "; this.bos_token_id = this.tokens_to_ids.get(this.bos_token); this.eos_token = eos_token; this.eos_token_id = this.tokens_to_ids.get(this.eos_token); this.unk_token = this.vocab[this.unk_token_id]; this.min_score = min(this.scores)[0]; this.unk_score = this.min_score - 10; this.scores[this.unk_token_id] = this.unk_score; this.trie = new CharTrie_default(); this.trie.extend(this.vocab); this.fuse_unk = true; } /** * Populates lattice nodes. * @param lattice The token lattice to populate with nodes. */ populate_nodes(lattice) { const chars = lattice.chars; const mblen = 1; let begin_pos = 0; while (begin_pos < chars.length) { let has_single_node = false; const tokens = []; const sliced = chars.slice(begin_pos).join(""); const prefixed_tokens = this.trie.common_prefix_search(sliced); for (const token of prefixed_tokens) { tokens.push(token); const token_id = this.tokens_to_ids.get(token); const token_score = this.scores[token_id]; const n = len(token); lattice.insert(begin_pos, n, token_score, token_id); if (!has_single_node && n === mblen) { has_single_node = true; } } if (!has_single_node) { lattice.insert(begin_pos, mblen, this.unk_score, this.unk_token_id); } begin_pos += mblen; } } /** * Encodes an array of tokens into an array of subtokens using the unigram model. * * @param normalized The normalized string. * @returns An array of subtokens obtained by encoding the input tokens using the unigram model. */ tokenize(normalized) { const lattice = new TokenLattice_default( normalized, this.bos_token_id, this.eos_token_id ); this.populate_nodes(lattice); return lattice.tokens(); } /** * Encodes an array of tokens using Unigram encoding. * @param tokens The tokens to encode. * @returns An array of encoded tokens. */ encode(tokens) { const to_return = []; for (const token of tokens) { const tokenized = this.tokenize(token); to_return.push(...tokenized); } return to_return; } }; var Unigram_default = Unigram; var PriorityQueue = class { /** * Create a new PriorityQueue. * @param comparator Comparator function to determine priority. Defaults to a MaxHeap. * @param max_size Maximum size of the queue. Defaults to Infinity. */ constructor(comparator = (a, b) => a > b, max_size = Infinity) { this._heap = []; this._comparator = comparator; this._max_size = max_size; } /** * The size of the queue */ get size() { return this._heap.length; } /** * Check if the queue is empty. * @returns `true` if the queue is empty, `false` otherwise. */ is_empty() { return this.size === 0; } /** * Return the element with the highest priority in the queue. * @returns The highest priority element in the queue. */ peek() { return this._heap[0]; } /** * Add one or more elements to the queue. * @param values The values to push into the queue. * @returns The new size of the queue. */ push(...values) { return this.extend(values); } /** * Add multiple elements to the queue. * @param values The values to push into the queue. * @returns The new size of the queue. */ extend(values) { for (const value of values) { if (this.size < this._max_size) { this._heap.push(value); this._sift_up(); } else { const smallest = this._smallest(); if (this._comparator(value, this._heap[smallest])) { this._heap[smallest] = value; this._sift_up_from(smallest); } } } return this.size; } /** * Remove and return the element with the highest priority in the queue. * @returns The element with the highest priority in the queue. */ pop() { const popped_value = this.peek(); const bottom = this.size - 1; if (bottom > 0) { this._swap(0, bottom); } this._heap.pop(); this._sift_down(); return popped_value; } /** * Replace the element with the highest priority in the queue with a new value. * @param value The new value. * @returns The replaced value. */ replace(value) { const replaced_value = this.peek(); this._heap[0] = value; this._sift_down(); return replaced_value; } /** * Compute the index for the parent of the node at index `i`. * @param i The index of the node to get the parent of. * @returns The index of the parent node. * @private */ _parent(i) { return (i + 1 >>> 1) - 1; } /** * Compute the index for the left child of the node at index `i`. * @param i The index of the node to get the left child of. * @returns The index of the left child. * @private */ _left(i) { return (i << 1) + 1; } /** * Compute the index for the right child of the node at index `i`. * @param i The index of the node to get the right child of. * @returns The index of the right child. * @private */ _right(i) { return i + 1 << 1; } /** * Check if the element at index `i` is greater than the element at index `j`. * @param i The index of the first element to compare. * @param j The index of the second element to compare. * @returns `true` if the element at index `i` is greater than the element at index `j`, `false` otherwise. * @private */ _greater(i, j) { return this._comparator(this._heap[i], this._heap[j]); } /** * Swap the elements at indices `i` and `j`. * @param i The index of the first element to swap. * @param j The index of the second element to swap. * @private */ _swap(i, j) { const temp = this._heap[i]; this._heap[i] = this._heap[j]; this._heap[j] = temp; } /** * Maintain the heap property by updating positions in the heap, * starting at the last element and moving up the heap. * @private */ _sift_up() { this._sift_up_from(this.size - 1); } /** * Helper function to sift up from a given node. * @param node The index of the node to start sifting up from. */ _sift_up_from(node) { while (node > 0 && this._greater(node, this._parent(node))) { this._swap(node, this._parent(node)); node = this._parent(node); } } /** * Maintain the heap property by updating positions in the heap, * starting at the first element and moving down the heap. * @private */ _sift_down() { let node = 0; while (this._left(node) < this.size && this._greater(this._left(node), node) || this._right(node) < this.size && this._greater(this._right(node), node)) { const max_child = this._right(node) < this.size && this._greater(this._right(node), this._left(node)) ? this._right(node) : this._left(node); this._swap(node, max_child); node = max_child; } } /** * Get the index of the smallest element in the heap. Since we use an array-based heap, * the index can be computed without needing to traverse the heap. * @private */ _smallest() { return 2 ** Math.floor(Math.log2(this.size)) - 1; } }; var PriorityQueue_default = PriorityQueue; var LRUCache = class { /** * Creates an LRUCache instance. * @param capacity The maximum number of items the cache can hold. */ constructor(capacity) { this.capacity = capacity; this.cache = /* @__PURE__ */ new Map(); } /** * Retrieves the value associated with the given key and marks the key as recently used. * @param key The key to retrieve. * @returns The value associated with the key, or undefined if the key does not exist. */ get(key) { if (!this.cache.has(key)) return void 0; const value = this.cache.get(key); this.cache.delete(key); this.cache.set(key, value); return value; } /** * Inserts or updates the key-value pair in the cache. * If the key already exists, it is updated and marked as recently used. * If the cache exceeds its capacity, the least recently used item is evicted. * @param key The key to add or update. * @param value The value to associate with the key. */ put(key, value) { if (this.cache.has(key)) { this.cache.delete(key); } this.cache.set(key, value); if (this.cache.size > this.capacity) { this.cache.delete(this.cache.keys().next().value); } } /** * Clears the cache. */ clear() { this.cache.clear(); } }; var LRUCache_default = LRUCache; var BPE = class extends TokenizerModel_default { /** * Create a BPE instance. * @param config The configuration object for BPE. */ constructor(config) { super(config); this.tokens_to_ids = object_to_map(config.vocab); this.unk_token_id = this.tokens_to_ids.get(config.unk_token); this.unk_token = config.unk_token; this.vocab = new Array(this.tokens_to_ids.size); for (const [key, value] of this.tokens_to_ids) { this.vocab[value] = key; } const use_new_merge_format = Array.isArray(config.merges[0]); this.merges = use_new_merge_format ? config.merges : config.merges.map( (x) => x.split(" ", 2) ); this.bpe_ranks = new Map(this.merges.map((x, i) => [JSON.stringify(x), i])); this.end_of_word_suffix = config.end_of_word_suffix; this.continuing_subword_suffix = config.continuing_subword_suffix ?? null; this.byte_fallback = this.config.byte_fallback ?? false; if (this.byte_fallback) { this.text_encoder = new TextEncoder(); } this.ignore_merges = this.config.ignore_merges ?? false; this.max_length_to_cache = 256; this.cache_capacity = 1e4; this.cache = new LRUCache_default(this.cache_capacity); } /** * Clears the cache. */ clear_cache() { this.cache.clear(); } /** * Apply Byte-Pair-Encoding (BPE) to a given token. Efficient heap-based priority * queue implementation adapted from https://github.com/belladoreai/llama-tokenizer-js. * @param token The token to encode. * @returns The BPE encoded tokens. */ bpe(token) { if (token.length === 0) { return []; } const cached = this.cache.get(token); if (cached !== void 0) { return cached; } const word = Array.from(token); if (this.end_of_word_suffix) { word[word.length - 1] += this.end_of_word_suffix; } let result = []; if (word.length > 1) { const queue = new PriorityQueue_default((a, b) => a.score < b.score); let starting_node = { token: word[0], bias: 0, prev: null, next: null }; let previous_node = starting_node; for (let i = 1; i < word.length; ++i) { const current_node = { bias: i / word.length, // Add fractional component to break ties token: word[i], prev: previous_node, next: null }; previous_node.next = current_node; this.add_node(queue, previous_node); previous_node = current_node; } while (!queue.is_empty()) { const node = queue.pop(); if (node.deleted || !node.next || node.next.deleted) continue; node.deleted = true; node.next.deleted = true; if (node.prev) { const new_previous_node = { ...node.prev }; node.prev.deleted = true; node.prev = new_previous_node; if (new_previous_node.prev) { new_previous_node.prev.next = new_previous_node; } else { starting_node = new_previous_node; } } const merged = { token: node.token + node.next.token, bias: node.bias, prev: node.prev, next: node.next.next }; if (merged.prev) { merged.prev.next = merged; this.add_node(queue, merged.prev); } else { starting_node = merged; } if (merged.next) { merged.next.prev = merged; this.add_node(queue, merged); } } for (let current_node = starting_node; current_node !== null; current_node = current_node.next) { result.push(current_node.token); } } else { result = word; } if (this.continuing_subword_suffix) { for (let i = 0; i < result.length - 1; ++i) { result[i] += this.continuing_subword_suffix; } } if (token.length < this.max_length_to_cache) { this.cache.put(token, result); } return result; } /** * Helper function to add a node to the priority queue. * @param queue * @param node */ add_node(queue, node) { const rank = this.bpe_ranks.get( JSON.stringify([node.token, node.next.token]) ); if (rank !== void 0) { node.score = rank + node.bias; queue.push(node); } } /** * Encodes the input sequence of tokens using the BPE algorithm and returns the resulting subword tokens. * @param tokens The input sequence of tokens to encode. * @returns The resulting subword tokens after applying the BPE algorithm to the input sequence of tokens. */ encode(tokens) { const output_tokens = []; for (const token of tokens) { if (this.ignore_merges && this.tokens_to_ids.has(token)) { output_tokens.push(token); continue; } const bpe_token_list = this.bpe(token); for (const t of bpe_token_list) { if (this.tokens_to_ids.has(t)) { output_tokens.push(t); } else if (this.byte_fallback) { const byte_tokens = Array.from(this.text_encoder.encode(t)).map( (x) => `<0x${x.toString(16).toUpperCase().padStart(2, "0")}>` ); if (byte_tokens.every((x) => this.tokens_to_ids.has(x))) { output_tokens.push(...byte_tokens); } else if (this.unk_token != null) { output_tokens.push(this.unk_token); } } else if (this.unk_token != null) { output_tokens.push(this.unk_token); } } } return output_tokens; } }; var BPE_default = BPE; var Legacy = class extends TokenizerModel_default { /** * Create a Legacy tokenizer model instance. * @param config The configuration object for Legacy tokenizer model. * @param more_config Additional configuration object for the Legacy tokenizer model. */ constructor(config, more_config) { super(config); const vocab = config.vocab; this.tokens_to_ids = object_to_map( more_config.target_lang ? vocab[more_config.target_lang] : vocab ); this.bos_token = more_config.bos_token; this.bos_token_id = this.tokens_to_ids.get(this.bos_token); this.eos_token = more_config.eos_token; this.eos_token_id = this.tokens_to_ids.get(this.eos_token); this.pad_token = more_config.pad_token; this.pad_token_id = this.tokens_to_ids.get(this.pad_token); this.unk_token = more_config.unk_token; this.unk_token_id = this.tokens_to_ids.get(this.unk_token); this.vocab = new Array(this.tokens_to_ids.size); for (const [key, value] of this.tokens_to_ids) { this.vocab[value] = key; } } encode(tokens) { return tokens; } }; var Legacy_default = Legacy; function create_tokenizer_model(model_config, config) { switch (model_config.type) { case "WordPiece": return new WordPiece_default(model_config); case "Unigram": return new Unigram_default(model_config, config.eos_token); case "BPE": return new BPE_default(model_config); default: if (model_config.vocab) { if (Array.isArray(model_config.vocab)) { return new Unigram_default(model_config, config.eos_token); } else if (Object.hasOwn(model_config, "continuing_subword_prefix") && Object.hasOwn(model_config, "unk_token")) { if (Object.hasOwn(model_config, "merges")) { return new BPE_default(model_config); } else { return new WordPiece_default(model_config); } } else { return new Legacy_default(model_config, { target_lang: config.target_lang, bos_token: config.bos_token, eos_token: config.eos_token, pad_token: config.pad_token, unk_token: config.unk_token }); } } throw new Error( `Unknown TokenizerModel type: ${model_config?.type}` ); } } var create_tokenizer_model_default = create_tokenizer_model; var PostProcessor = class extends Callable_default { /** * @param config The configuration for the post-processor. */ constructor(config) { super(); this.config = config; } /** * Alias for {@link PostProcessor#post_process}. * @param tokens The text or array of texts to post-process. * @param args Additional arguments required by the post-processing logic. * @returns The post-processed tokens. */ _call(tokens, ...args2) { return this.post_process(tokens, ...args2); } }; var PostProcessor_default = PostProcessor; var TemplateProcessing = class extends PostProcessor_default { /** * Replaces special tokens in the template with actual tokens. * @param tokens The list of tokens for the first sequence. * @param tokens_pair The list of tokens for the second sequence (optional). * @param add_special_tokens Whether to add the special tokens to the beginning and end of the input. * @returns An object containing the list of tokens with the special tokens replaced with actual tokens. */ post_process(tokens, tokens_pair = null, add_special_tokens = true) { const type = tokens_pair === null ? this.config.single : this.config.pair; let processed_tokens = []; let types = []; for (const item of type) { if ("SpecialToken" in item) { if (add_special_tokens) { processed_tokens.push(item.SpecialToken.id); types.push(item.SpecialToken.type_id); } } else if ("Sequence" in item) { if (item.Sequence.id === "A") { processed_tokens = merge_arrays(processed_tokens, tokens); types = merge_arrays( types, new Array(tokens.length).fill(item.Sequence.type_id) ); } else if (item.Sequence.id === "B") { processed_tokens = merge_arrays(processed_tokens, tokens_pair); types = merge_arrays( types, new Array(tokens_pair.length).fill(item.Sequence.type_id) ); } } } return { tokens: processed_tokens, token_type_ids: types }; } }; var TemplateProcessing_default = TemplateProcessing; var ByteLevel2 = class extends PostProcessor_default { /** * Post process the given tokens. * @param tokens The list of tokens for the first sequence. * @param tokens_pair The list of tokens for the second sequence (optional). * @returns An object containing the post-processed tokens. */ post_process(tokens, tokens_pair = null) { return { tokens, tokens_pair }; } }; var ByteLevel_default2 = ByteLevel2; var BertProcessing = class extends PostProcessor_default { /** * @param config The configuration for the post-processor. * @param config.cls The special tokens to add to the beginning of the input. * @param config.sep The special tokens to add to the end of the input. */ constructor(config) { super(config); this.sep = config.sep; this.cls = config.cls; } /** * Adds the special tokens to the beginning and end of the input. * @param tokens The input tokens. * @param tokens_pair An optional second set of input tokens. * @param add_special_tokens Whether to add the special tokens to the beginning and end of the input. * @returns The post-processed tokens with the special tokens added to the beginning and end. */ post_process(tokens, tokens_pair = null, add_special_tokens = true) { if (add_special_tokens) { tokens = merge_arrays([this.cls[0]], tokens, [this.sep[0]]); } let token_type_ids = new Array(tokens.length).fill(0); if (tokens_pair) { const middle = []; const after = add_special_tokens ? [this.sep[0]] : []; tokens = merge_arrays(tokens, middle, tokens_pair, after); token_type_ids = merge_arrays( token_type_ids, new Array(tokens_pair.length + middle.length + after.length).fill(1) ); } return { tokens, token_type_ids }; } }; var BertProcessing_default = BertProcessing; var RobertaProcessing = class extends PostProcessor_default { /** * @param config The configuration for the post-processor. * @param config.cls The special tokens to add to the beginning of the input. * @param config.sep The special tokens to add to the end of the input. */ constructor(config) { super(config); this.sep = config.sep; this.cls = config.cls; } /** * Adds the special tokens to the beginning and end of the input. * @param tokens The input tokens. * @param tokens_pair An optional second set of input tokens. * @param add_special_tokens Whether to add the special tokens to the beginning and end of the input. * @returns The post-processed tokens with the special tokens added to the beginning and end. */ post_process(tokens, tokens_pair, add_special_tokens = true) { if (add_special_tokens) { tokens = merge_arrays([this.cls[0]], tokens, [this.sep[0]]); } let token_type_ids = new Array(tokens.length).fill(0); if (tokens_pair) { const middle = add_special_tokens ? [this.sep[0]] : []; const after = add_special_tokens ? [this.sep[0]] : []; tokens = merge_arrays(tokens, middle, tokens_pair, after); token_type_ids = merge_arrays( token_type_ids, new Array(tokens_pair.length + middle.length + after.length).fill(1) ); } return { tokens, token_type_ids }; } }; var RobertaProcessing_default = RobertaProcessing; var Sequence3 = class extends PostProcessor_default { /** * Creates a new instance of Sequence post-processor. * @param config The configuration object. */ constructor(config) { super(config); this.processors = (config.processors ?? []).map((x) => create_post_processor_default(x)); } /** * Post process the given tokens. * @param tokens The list of tokens for the first sequence. * @param tokens_pair The list of tokens for the second sequence (optional). * @param add_special_tokens Whether to add the special tokens to the beginning and end of the input. * @returns An object containing the post-processed tokens. */ post_process(tokens, tokens_pair = null, add_special_tokens = true) { let processed_tokens = { tokens, tokens_pair }; for (const processor of this.processors) { processed_tokens = processor.post_process( processed_tokens.tokens, processed_tokens.tokens_pair, add_special_tokens ); } return processed_tokens; } }; var Sequence_default3 = Sequence3; function create_post_processor(config) { if (config === null) return null; switch (config.type) { case "TemplateProcessing": return new TemplateProcessing_default(config); case "ByteLevel": return new ByteLevel_default2(config); case "BertProcessing": return new BertProcessing_default(config); case "RobertaProcessing": return new RobertaProcessing_default(config); case "Sequence": return new Sequence_default3(config); default: throw new Error(`Unknown PostProcessor type: ${config.type}`); } } var create_post_processor_default = create_post_processor; var Decoder = class extends Callable_default { /** * Creates an instance of `Decoder`. * @param config The configuration object. **/ constructor(config) { super(); this.config = config; this.added_tokens = []; this.end_of_word_suffix = null; this.trim_offsets = "trim_offsets" in config ? config.trim_offsets : false; } /** * Calls the `decode` method. * * @param tokens The list of tokens. * @returns The decoded string. */ _call(tokens) { return this.decode(tokens); } /** * Decodes a list of tokens. * @param tokens The list of tokens. * @returns The decoded string. */ decode(tokens) { return this.decode_chain(tokens).join(""); } }; var Decoder_default = Decoder; var ByteLevel3 = class extends Decoder_default { /** * Create a `ByteLevelDecoder` object. */ constructor(config) { super(config); this.byte_decoder = UNICODE_TO_BYTES; this.text_decoder = new TextDecoder("utf-8", { fatal: false, // eslint-disable-next-line @typescript-eslint/naming-convention ignoreBOM: true }); this.end_of_word_suffix = null; } /** * Convert an array of tokens to string by decoding each byte. * @param tokens Array of tokens to be decoded. * @returns The decoded string. */ convert_tokens_to_string(tokens) { const text = tokens.join(""); const byte_array = new Uint8Array( [...text].map((c) => this.byte_decoder[c]) ); return this.text_decoder.decode(byte_array); } decode_chain(tokens) { const sub_texts = []; let current_sub_text = []; for (const token of tokens) { if (this.added_tokens.find((x) => x.content === token) !== void 0) { if (current_sub_text.length > 0) { sub_texts.push(this.convert_tokens_to_string(current_sub_text)); current_sub_text = []; } sub_texts.push(token); } else { current_sub_text.push(token); } } if (current_sub_text.length > 0) { sub_texts.push(this.convert_tokens_to_string(current_sub_text)); } return sub_texts; } }; var ByteLevel_default3 = ByteLevel3; var WordPiece = class extends Decoder_default { /** * Creates a new instance of WordPieceDecoder. * @param config The configuration object. */ constructor(config) { super(config); this.cleanup = config.cleanup; } decode_chain(tokens) { return tokens.map((token, i) => { if (i !== 0) { const prefix = this.config.prefix; if (prefix && token.startsWith(prefix)) { token = token.replace(prefix, ""); } else { token = " " + token; } } if (this.cleanup) { token = clean_up_tokenization(token); } return token; }); } }; var WordPiece_default2 = WordPiece; var Metaspace2 = class extends Decoder_default { /** * Constructs a new MetaspaceDecoder object. * @param config The configuration object for the MetaspaceDecoder. */ constructor(config) { super(config); this.replacement = config.replacement ?? "\u2581"; } decode_chain(tokens) { const result = []; for (let i = 0; i < tokens.length; ++i) { let normalized = tokens[i].replaceAll(this.replacement, " "); if (i == 0 && normalized.startsWith(" ")) { normalized = normalized.substring(1); } result.push(normalized); } return result; } }; var Metaspace_default2 = Metaspace2; var BPE2 = class extends Decoder_default { constructor(config) { super(config); this.suffix = config.suffix ?? ""; } decode_chain(tokens) { return tokens.map((token, i) => { return token.replaceAll(this.suffix, i === tokens.length - 1 ? "" : " "); }); } }; var BPE_default2 = BPE2; var CTC = class extends Decoder_default { constructor(config) { super(config); this.pad_token = config.pad_token ?? ""; this.word_delimiter_token = config.word_delimiter_token ?? ""; this.cleanup = config.cleanup; } /** * Converts a connectionist-temporal-classification (CTC) output tokens into a single string. * @param tokens Array of tokens to be decoded. * @returns The decoded string. */ convert_tokens_to_string(tokens) { if (tokens.length === 0) return ""; const grouped_tokens = [tokens[0]]; for (let i = 1; i < tokens.length; ++i) { if (tokens[i] !== grouped_tokens.at(-1)) { grouped_tokens.push(tokens[i]); } } const filtered_tokens = grouped_tokens.filter( (token) => token !== this.pad_token ); let text = filtered_tokens.join(""); if (this.cleanup) { text = clean_up_tokenization(text).replaceAll(this.word_delimiter_token, " ").trim(); } return text; } decode_chain(tokens) { return [this.convert_tokens_to_string(tokens)]; } }; var CTC_default = CTC; var Sequence4 = class extends Decoder_default { /** * Creates a new instance of DecoderSequence. * @param config The configuration object. */ constructor(config) { super(config); this.decoders = (config.decoders ?? []).map((x) => create_decoder_default(x)); } decode_chain(tokens) { return this.decoders.reduce((toks, decoder) => { return decoder.decode_chain(toks); }, tokens); } }; var Sequence_default4 = Sequence4; var Replace3 = class extends Decoder_default { decode_chain(tokens) { const pattern = create_pattern(this.config.pattern); const content = this.config.content ?? ""; return pattern === null ? tokens : tokens.map((token) => token.replaceAll(pattern, content)); } }; var Replace_default3 = Replace3; var Fuse = class extends Decoder_default { decode_chain(tokens) { return [tokens.join("")]; } }; var Fuse_default = Fuse; var Strip2 = class extends Decoder_default { constructor(config) { super(config); this.content = config.content ?? ""; this.start = config.start ?? 0; this.stop = config.stop ?? 0; } decode_chain(tokens) { return tokens.map((token) => { let start_cut = 0; for (let i = 0; i < this.start; ++i) { if (token[i] === this.content) { start_cut = i + 1; continue; } else { break; } } let stop_cut = token.length; for (let i = 0; i < this.stop; ++i) { const index = token.length - i - 1; if (token[index] === this.content) { stop_cut = index; continue; } else { break; } } return token.slice(start_cut, stop_cut); }); } }; var Strip_default2 = Strip2; var ByteFallback = class extends Decoder_default { constructor(config) { super(config); this.text_decoder = new TextDecoder(); } decode_chain(tokens) { const new_tokens = []; let previous_byte_tokens = []; for (const token of tokens) { let bytes = null; if (token.length === 6 && token.startsWith("<0x") && token.endsWith(">")) { const byte = parseInt(token.slice(3, 5), 16); if (!isNaN(byte)) { bytes = byte; } } if (bytes !== null) { previous_byte_tokens.push(bytes); } else { if (previous_byte_tokens.length > 0) { const string = this.text_decoder.decode( Uint8Array.from(previous_byte_tokens) ); new_tokens.push(string); previous_byte_tokens = []; } new_tokens.push(token); } } if (previous_byte_tokens.length > 0) { const string = this.text_decoder.decode( Uint8Array.from(previous_byte_tokens) ); new_tokens.push(string); previous_byte_tokens = []; } return new_tokens; } }; var ByteFallback_default = ByteFallback; function create_decoder(config) { if (config === null) return null; switch (config.type) { case "ByteLevel": return new ByteLevel_default3(config); case "WordPiece": return new WordPiece_default2(config); case "Metaspace": return new Metaspace_default2(config); case "BPEDecoder": return new BPE_default2(config); case "CTC": return new CTC_default(config); case "Sequence": return new Sequence_default4(config); case "Replace": return new Replace_default3(config); case "Fuse": return new Fuse_default(config); case "Strip": return new Strip_default2(config); case "ByteFallback": return new ByteFallback_default(config); default: throw new Error(`Unknown Decoder type: ${config.type}`); } } var create_decoder_default = create_decoder; var Tokenizer = class { constructor(tokenizer, config) { const tokenizer_error = validate_object(tokenizer, "Tokenizer", [ "model", "decoder", "post_processor", "pre_tokenizer", "normalizer" ]); if (tokenizer_error) { throw new Error(tokenizer_error); } const config_error = validate_object(config, "Config"); if (config_error) { throw new Error(config_error); } this.tokenizer = tokenizer; this.config = config; this.normalizer = create_normalizer_default(this.tokenizer.normalizer); this.pre_tokenizer = create_pre_tokenizer_default(this.tokenizer.pre_tokenizer); this.model = create_tokenizer_model_default(this.tokenizer.model, this.config); this.post_processor = create_post_processor_default(this.tokenizer.post_processor); this.decoder = create_decoder_default(this.tokenizer.decoder); this.special_tokens = []; this.all_special_ids = []; this.added_tokens = []; const unnormalized_contents = []; const normalized_contents = []; this.added_tokens_map = /* @__PURE__ */ new Map(); for (const added_token of this.tokenizer.added_tokens) { const token = new AddedToken_default(added_token); this.added_tokens.push(token); this.model.tokens_to_ids.set(token.content, token.id); this.model.vocab[token.id] = token.content; if (token.special) { this.special_tokens.push(token.content); this.all_special_ids.push(token.id); } this.added_tokens_map.set(token.content, token); if (token.normalized && this.normalizer !== null) { const normalized_content = this.normalizer(token.content); normalized_contents.push(normalized_content); this.added_tokens_map.set(normalized_content, token); } else { unnormalized_contents.push(token.content); } } (this.config.additional_special_tokens ?? []).forEach((token) => { if (!this.special_tokens.includes(token)) this.special_tokens.push(token); }); if (this.decoder) { this.decoder.added_tokens = this.added_tokens; this.decoder.end_of_word_suffix = this.model.end_of_word_suffix; } this.splitter_unnormalized = new DictionarySplitter_default(unnormalized_contents); this.splitter_normalized = new DictionarySplitter_default(normalized_contents); this.remove_space = this.config.remove_space; this.clean_up_tokenization_spaces = this.config.clean_up_tokenization_spaces ?? true; this.do_lowercase_and_remove_accent = this.config.do_lowercase_and_remove_accent ?? false; } // Implementation encode(text, { text_pair = null, add_special_tokens = true, return_token_type_ids = null } = {}) { const { tokens, token_type_ids } = this.tokenize_helper(text, { text_pair, add_special_tokens }); const input_ids = tokens.map( (t) => this.added_tokens_map.get(t)?.id ?? this.model.tokens_to_ids.get(t) ?? this.model.unk_token_id ); const result = { ids: input_ids, tokens, attention_mask: new Array(input_ids.length).fill(1) }; if (return_token_type_ids && token_type_ids) { result.token_type_ids = token_type_ids; } return result; } decode(token_ids, options = {}) { if (!Array.isArray(token_ids) || token_ids.length === 0 || !is_integral_number(token_ids[0])) { throw Error("token_ids must be a non-empty array of integers."); } let tokens = token_ids.map( (i) => this.model.vocab[Number(i)] ?? this.model.unk_token ); if (options.skip_special_tokens) { tokens = tokens.filter((x) => !this.special_tokens.includes(x)); } let decoded = this.decoder ? this.decoder(tokens) : tokens.join(" "); if (this.decoder && this.decoder.end_of_word_suffix) { decoded = decoded.replaceAll(this.decoder.end_of_word_suffix, " "); if (options.skip_special_tokens) { decoded = decoded.trim(); } } if (options.clean_up_tokenization_spaces ?? this.clean_up_tokenization_spaces) { decoded = clean_up_tokenization(decoded); } return decoded; } /** * Converts a string into a sequence of tokens. * @param text The sequence to be encoded. * @param options An optional object containing the following properties: * @returns The list of tokens. */ tokenize(text, { text_pair = null, add_special_tokens = false } = {}) { return this.tokenize_helper(text, { text_pair, add_special_tokens }).tokens; } encode_text(text) { if (text === null) { return null; } const sections = this.splitter_unnormalized.split(text); sections.forEach((section, i) => { const added_token = this.added_tokens_map.get(section); if (added_token) { if (added_token.lstrip && i > 0) { sections[i - 1] = sections[i - 1].trimEnd(); } if (added_token.rstrip && i < sections.length - 1) { sections[i + 1] = sections[i + 1].trimStart(); } } }); return sections.flatMap((processed_text, section_index) => { if (processed_text.length === 0) { return []; } if (this.added_tokens_map.has(processed_text)) { return [processed_text]; } if (this.remove_space === true) { processed_text = processed_text.trim().split(/\s+/).join(" "); } if (this.do_lowercase_and_remove_accent) { processed_text = lowercase_and_remove_accents(processed_text); } if (this.normalizer !== null) { processed_text = this.normalizer(processed_text); } if (processed_text.length === 0) { return []; } const subsections = this.splitter_normalized.split(processed_text); subsections.forEach((subsection, j) => { const added_token = this.added_tokens_map.get(subsection); if (added_token) { if (added_token.lstrip && j > 0) { subsections[j - 1] = subsections[j - 1].trimEnd(); } if (added_token.rstrip && j < subsections.length - 1) { subsections[j + 1] = subsections[j + 1].trimStart(); } } }); return subsections.flatMap((subsection) => { if (subsection.length === 0) { return []; } if (this.added_tokens_map.has(subsection)) { return [subsection]; } const section_tokens = this.pre_tokenizer !== null ? this.pre_tokenizer(subsection, { section_index }) : [subsection]; return this.model(section_tokens); }); }); } tokenize_helper(text, { text_pair = null, add_special_tokens = true }) { const tokens1 = this.encode_text(text); const tokens2 = this.encode_text(text_pair || null); return this.post_processor ? this.post_processor(tokens1, tokens2, add_special_tokens) : { tokens: merge_arrays(tokens1 ?? [], tokens2 ?? []) }; } /** * Converts a token string to its corresponding token ID. * @param token The token string to convert. * @returns The token ID, or undefined if the token is not in the vocabulary. */ token_to_id(token) { return this.model.tokens_to_ids.get(token); } /** * Converts a token ID to its corresponding token string. * @param id The token ID to convert. * @returns The token string, or undefined if the ID is not in the vocabulary. */ id_to_token(id) { return this.model.vocab[id]; } /** * Returns a mapping of token IDs to AddedToken objects for all added tokens. * @returns A Map where keys are token IDs and values are AddedToken objects. */ get_added_tokens_decoder() { const decoder = /* @__PURE__ */ new Map(); for (const token of this.added_tokens) { decoder.set(token.id, token); } return decoder; } /** * Get the underlying vocabulary * @param with_added_tokens Whether to include the added tokens * @returns The vocabulary */ get_vocab(with_added_tokens = true) { const vocab = /* @__PURE__ */ new Map(); for (let i = 0; i < this.model.vocab.length; ++i) { const token = this.model.vocab[i]; if (with_added_tokens || !this.added_tokens_map.has(token)) { vocab.set(token, i); } } return vocab; } }; var Tokenizer_default = Tokenizer; var TOKEN_TYPES = Object.freeze({ Text: "Text", // The text between Jinja statements or expressions NumericLiteral: "NumericLiteral", // e.g., 123, 1.0 StringLiteral: "StringLiteral", // 'string' Identifier: "Identifier", // Variables, functions, statements, booleans, etc. Equals: "Equals", // = OpenParen: "OpenParen", // ( CloseParen: "CloseParen", // ) OpenStatement: "OpenStatement", // {% CloseStatement: "CloseStatement", // %} OpenExpression: "OpenExpression", // {{ CloseExpression: "CloseExpression", // }} OpenSquareBracket: "OpenSquareBracket", // [ CloseSquareBracket: "CloseSquareBracket", // ] OpenCurlyBracket: "OpenCurlyBracket", // { CloseCurlyBracket: "CloseCurlyBracket", // } Comma: "Comma", // , Dot: "Dot", // . Colon: "Colon", // : Pipe: "Pipe", // | CallOperator: "CallOperator", // () AdditiveBinaryOperator: "AdditiveBinaryOperator", // + - ~ MultiplicativeBinaryOperator: "MultiplicativeBinaryOperator", // * / % ComparisonBinaryOperator: "ComparisonBinaryOperator", // < > <= >= == != UnaryOperator: "UnaryOperator", // ! - + Comment: "Comment" // {# ... #} }); var Token = class { /** * Constructs a new Token. * @param {string} value The raw value as seen inside the source code. * @param {TokenType} type The type of token. */ constructor(value, type) { this.value = value; this.type = type; } }; function isWord(char) { return /\w/.test(char); } function isInteger(char) { return /[0-9]/.test(char); } function isWhitespace(char) { return /\s/.test(char); } var ORDERED_MAPPING_TABLE = [ // Control sequences ["{%", TOKEN_TYPES.OpenStatement], ["%}", TOKEN_TYPES.CloseStatement], ["{{", TOKEN_TYPES.OpenExpression], ["}}", TOKEN_TYPES.CloseExpression], // Single character tokens ["(", TOKEN_TYPES.OpenParen], [")", TOKEN_TYPES.CloseParen], ["{", TOKEN_TYPES.OpenCurlyBracket], ["}", TOKEN_TYPES.CloseCurlyBracket], ["[", TOKEN_TYPES.OpenSquareBracket], ["]", TOKEN_TYPES.CloseSquareBracket], [",", TOKEN_TYPES.Comma], [".", TOKEN_TYPES.Dot], [":", TOKEN_TYPES.Colon], ["|", TOKEN_TYPES.Pipe], // Comparison operators ["<=", TOKEN_TYPES.ComparisonBinaryOperator], [">=", TOKEN_TYPES.ComparisonBinaryOperator], ["==", TOKEN_TYPES.ComparisonBinaryOperator], ["!=", TOKEN_TYPES.ComparisonBinaryOperator], ["<", TOKEN_TYPES.ComparisonBinaryOperator], [">", TOKEN_TYPES.ComparisonBinaryOperator], // Arithmetic operators ["+", TOKEN_TYPES.AdditiveBinaryOperator], ["-", TOKEN_TYPES.AdditiveBinaryOperator], ["~", TOKEN_TYPES.AdditiveBinaryOperator], ["*", TOKEN_TYPES.MultiplicativeBinaryOperator], ["/", TOKEN_TYPES.MultiplicativeBinaryOperator], ["%", TOKEN_TYPES.MultiplicativeBinaryOperator], // Assignment operator ["=", TOKEN_TYPES.Equals] ]; var ESCAPE_CHARACTERS = /* @__PURE__ */ new Map([ ["n", "\n"], // New line ["t", " "], // Horizontal tab ["r", "\r"], // Carriage return ["b", "\b"], // Backspace ["f", "\f"], // Form feed ["v", "\v"], // Vertical tab ["'", "'"], // Single quote ['"', '"'], // Double quote ["\\", "\\"] // Backslash ]); function preprocess(template, options = {}) { if (template.endsWith("\n")) { template = template.slice(0, -1); } if (options.lstrip_blocks) { template = template.replace(/^[ \t]*({[#%-])/gm, "$1"); } if (options.trim_blocks) { template = template.replace(/([#%-]})\n/g, "$1"); } return template.replace(/{%\s*(end)?generation\s*%}/gs, ""); } function tokenize(source, options = {}) { const tokens = []; const src = preprocess(source, options); let cursorPosition = 0; let curlyBracketDepth = 0; const consumeWhile = (predicate) => { let str = ""; while (predicate(src[cursorPosition])) { if (src[cursorPosition] === "\\") { ++cursorPosition; if (cursorPosition >= src.length) throw new SyntaxError("Unexpected end of input"); const escaped = src[cursorPosition++]; const unescaped = ESCAPE_CHARACTERS.get(escaped); if (unescaped === void 0) { throw new SyntaxError(`Unexpected escaped character: ${escaped}`); } str += unescaped; continue; } str += src[cursorPosition++]; if (cursorPosition >= src.length) throw new SyntaxError("Unexpected end of input"); } return str; }; const stripTrailingWhitespace = () => { const lastToken = tokens.at(-1); if (lastToken && lastToken.type === TOKEN_TYPES.Text) { lastToken.value = lastToken.value.trimEnd(); if (lastToken.value === "") { tokens.pop(); } } }; const skipLeadingWhitespace = () => { while (cursorPosition < src.length && isWhitespace(src[cursorPosition])) { ++cursorPosition; } }; main: while (cursorPosition < src.length) { const lastTokenType = tokens.at(-1)?.type; if (lastTokenType === void 0 || lastTokenType === TOKEN_TYPES.CloseStatement || lastTokenType === TOKEN_TYPES.CloseExpression || lastTokenType === TOKEN_TYPES.Comment) { let text = ""; while (cursorPosition < src.length && // Keep going until we hit the next Jinja statement or expression !(src[cursorPosition] === "{" && (src[cursorPosition + 1] === "%" || src[cursorPosition + 1] === "{" || src[cursorPosition + 1] === "#"))) { text += src[cursorPosition++]; } if (text.length > 0) { tokens.push(new Token(text, TOKEN_TYPES.Text)); continue; } } if (src[cursorPosition] === "{" && src[cursorPosition + 1] === "#") { cursorPosition += 2; const stripBefore = src[cursorPosition] === "-"; if (stripBefore) { ++cursorPosition; } let comment = ""; while (src[cursorPosition] !== "#" || src[cursorPosition + 1] !== "}") { if (cursorPosition + 2 >= src.length) { throw new SyntaxError("Missing end of comment tag"); } comment += src[cursorPosition++]; } const stripAfter = comment.endsWith("-"); if (stripAfter) { comment = comment.slice(0, -1); } if (stripBefore) { stripTrailingWhitespace(); } tokens.push(new Token(comment, TOKEN_TYPES.Comment)); cursorPosition += 2; if (stripAfter) { skipLeadingWhitespace(); } continue; } if (src.slice(cursorPosition, cursorPosition + 3) === "{%-") { stripTrailingWhitespace(); tokens.push(new Token("{%", TOKEN_TYPES.OpenStatement)); cursorPosition += 3; continue; } if (src.slice(cursorPosition, cursorPosition + 3) === "{{-") { stripTrailingWhitespace(); tokens.push(new Token("{{", TOKEN_TYPES.OpenExpression)); curlyBracketDepth = 0; cursorPosition += 3; continue; } consumeWhile(isWhitespace); if (src.slice(cursorPosition, cursorPosition + 3) === "-%}") { tokens.push(new Token("%}", TOKEN_TYPES.CloseStatement)); cursorPosition += 3; skipLeadingWhitespace(); continue; } if (src.slice(cursorPosition, cursorPosition + 3) === "-}}") { tokens.push(new Token("}}", TOKEN_TYPES.CloseExpression)); cursorPosition += 3; skipLeadingWhitespace(); continue; } const char = src[cursorPosition]; if (char === "-" || char === "+") { const lastTokenType2 = tokens.at(-1)?.type; if (lastTokenType2 === TOKEN_TYPES.Text || lastTokenType2 === void 0) { throw new SyntaxError(`Unexpected character: ${char}`); } switch (lastTokenType2) { case TOKEN_TYPES.Identifier: case TOKEN_TYPES.NumericLiteral: case TOKEN_TYPES.StringLiteral: case TOKEN_TYPES.CloseParen: case TOKEN_TYPES.CloseSquareBracket: break; default: { ++cursorPosition; const num = consumeWhile(isInteger); tokens.push( new Token(`${char}${num}`, num.length > 0 ? TOKEN_TYPES.NumericLiteral : TOKEN_TYPES.UnaryOperator) ); continue; } } } for (const [seq, type] of ORDERED_MAPPING_TABLE) { if (seq === "}}" && curlyBracketDepth > 0) { continue; } const slice22 = src.slice(cursorPosition, cursorPosition + seq.length); if (slice22 === seq) { tokens.push(new Token(seq, type)); if (type === TOKEN_TYPES.OpenExpression) { curlyBracketDepth = 0; } else if (type === TOKEN_TYPES.OpenCurlyBracket) { ++curlyBracketDepth; } else if (type === TOKEN_TYPES.CloseCurlyBracket) { --curlyBracketDepth; } cursorPosition += seq.length; continue main; } } if (char === "'" || char === '"') { ++cursorPosition; const str = consumeWhile((c) => c !== char); tokens.push(new Token(str, TOKEN_TYPES.StringLiteral)); ++cursorPosition; continue; } if (isInteger(char)) { let num = consumeWhile(isInteger); if (src[cursorPosition] === "." && isInteger(src[cursorPosition + 1])) { ++cursorPosition; const frac = consumeWhile(isInteger); num = `${num}.${frac}`; } tokens.push(new Token(num, TOKEN_TYPES.NumericLiteral)); continue; } if (isWord(char)) { const word = consumeWhile(isWord); tokens.push(new Token(word, TOKEN_TYPES.Identifier)); continue; } throw new SyntaxError(`Unexpected character: ${char}`); } return tokens; } var Statement = class { type = "Statement"; }; var Program = class extends Statement { constructor(body) { super(); this.body = body; } type = "Program"; }; var If = class extends Statement { constructor(test, body, alternate) { super(); this.test = test; this.body = body; this.alternate = alternate; } type = "If"; }; var For = class extends Statement { constructor(loopvar, iterable, body, defaultBlock) { super(); this.loopvar = loopvar; this.iterable = iterable; this.body = body; this.defaultBlock = defaultBlock; } type = "For"; }; var Break = class extends Statement { type = "Break"; }; var Continue = class extends Statement { type = "Continue"; }; var SetStatement = class extends Statement { constructor(assignee, value, body) { super(); this.assignee = assignee; this.value = value; this.body = body; } type = "Set"; }; var Macro = class extends Statement { constructor(name, args2, body) { super(); this.name = name; this.args = args2; this.body = body; } type = "Macro"; }; var Comment = class extends Statement { constructor(value) { super(); this.value = value; } type = "Comment"; }; var Expression = class extends Statement { type = "Expression"; }; var MemberExpression = class extends Expression { constructor(object, property, computed) { super(); this.object = object; this.property = property; this.computed = computed; } type = "MemberExpression"; }; var CallExpression = class extends Expression { constructor(callee, args2) { super(); this.callee = callee; this.args = args2; } type = "CallExpression"; }; var Identifier = class extends Expression { /** * @param {string} value The name of the identifier */ constructor(value) { super(); this.value = value; } type = "Identifier"; }; var Literal = class extends Expression { constructor(value) { super(); this.value = value; } type = "Literal"; }; var IntegerLiteral = class extends Literal { type = "IntegerLiteral"; }; var FloatLiteral = class extends Literal { type = "FloatLiteral"; }; var StringLiteral = class extends Literal { type = "StringLiteral"; }; var ArrayLiteral = class extends Literal { type = "ArrayLiteral"; }; var TupleLiteral = class extends Literal { type = "TupleLiteral"; }; var ObjectLiteral = class extends Literal { type = "ObjectLiteral"; }; var BinaryExpression = class extends Expression { constructor(operator, left, right) { super(); this.operator = operator; this.left = left; this.right = right; } type = "BinaryExpression"; }; var FilterExpression = class extends Expression { constructor(operand, filter) { super(); this.operand = operand; this.filter = filter; } type = "FilterExpression"; }; var FilterStatement = class extends Statement { constructor(filter, body) { super(); this.filter = filter; this.body = body; } type = "FilterStatement"; }; var SelectExpression = class extends Expression { constructor(lhs, test) { super(); this.lhs = lhs; this.test = test; } type = "SelectExpression"; }; var TestExpression = class extends Expression { constructor(operand, negate, test) { super(); this.operand = operand; this.negate = negate; this.test = test; } type = "TestExpression"; }; var UnaryExpression = class extends Expression { constructor(operator, argument) { super(); this.operator = operator; this.argument = argument; } type = "UnaryExpression"; }; var SliceExpression = class extends Expression { constructor(start = void 0, stop = void 0, step = void 0) { super(); this.start = start; this.stop = stop; this.step = step; } type = "SliceExpression"; }; var KeywordArgumentExpression = class extends Expression { constructor(key, value) { super(); this.key = key; this.value = value; } type = "KeywordArgumentExpression"; }; var SpreadExpression = class extends Expression { constructor(argument) { super(); this.argument = argument; } type = "SpreadExpression"; }; var CallStatement = class extends Statement { constructor(call, callerArgs, body) { super(); this.call = call; this.callerArgs = callerArgs; this.body = body; } type = "CallStatement"; }; var Ternary = class extends Expression { constructor(condition, trueExpr, falseExpr) { super(); this.condition = condition; this.trueExpr = trueExpr; this.falseExpr = falseExpr; } type = "Ternary"; }; function parse(tokens) { const program = new Program([]); let current = 0; function expect(type, error) { const prev = tokens[current++]; if (!prev || prev.type !== type) { throw new Error(`Parser Error: ${error}. ${prev.type} !== ${type}.`); } return prev; } function expectIdentifier(name) { if (!isIdentifier(name)) { throw new SyntaxError(`Expected ${name}`); } ++current; } function parseAny() { switch (tokens[current].type) { case TOKEN_TYPES.Comment: return new Comment(tokens[current++].value); case TOKEN_TYPES.Text: return parseText(); case TOKEN_TYPES.OpenStatement: return parseJinjaStatement(); case TOKEN_TYPES.OpenExpression: return parseJinjaExpression(); default: throw new SyntaxError(`Unexpected token type: ${tokens[current].type}`); } } function is2(...types) { return current + types.length <= tokens.length && types.every((type, i) => type === tokens[current + i].type); } function isStatement(...names) { return tokens[current]?.type === TOKEN_TYPES.OpenStatement && tokens[current + 1]?.type === TOKEN_TYPES.Identifier && names.includes(tokens[current + 1]?.value); } function isIdentifier(...names) { return current + names.length <= tokens.length && names.every((name, i) => tokens[current + i].type === "Identifier" && name === tokens[current + i].value); } function parseText() { return new StringLiteral(expect(TOKEN_TYPES.Text, "Expected text token").value); } function parseJinjaStatement() { expect(TOKEN_TYPES.OpenStatement, "Expected opening statement token"); if (tokens[current].type !== TOKEN_TYPES.Identifier) { throw new SyntaxError(`Unknown statement, got ${tokens[current].type}`); } const name = tokens[current].value; let result; switch (name) { case "set": ++current; result = parseSetStatement(); break; case "if": ++current; result = parseIfStatement(); expect(TOKEN_TYPES.OpenStatement, "Expected {% token"); expectIdentifier("endif"); expect(TOKEN_TYPES.CloseStatement, "Expected %} token"); break; case "macro": ++current; result = parseMacroStatement(); expect(TOKEN_TYPES.OpenStatement, "Expected {% token"); expectIdentifier("endmacro"); expect(TOKEN_TYPES.CloseStatement, "Expected %} token"); break; case "for": ++current; result = parseForStatement(); expect(TOKEN_TYPES.OpenStatement, "Expected {% token"); expectIdentifier("endfor"); expect(TOKEN_TYPES.CloseStatement, "Expected %} token"); break; case "call": { ++current; let callerArgs = null; if (is2(TOKEN_TYPES.OpenParen)) { callerArgs = parseArgs(); } const callee = parsePrimaryExpression(); if (callee.type !== "Identifier") { throw new SyntaxError(`Expected identifier following call statement`); } const callArgs = parseArgs(); expect(TOKEN_TYPES.CloseStatement, "Expected closing statement token"); const body = []; while (!isStatement("endcall")) { body.push(parseAny()); } expect(TOKEN_TYPES.OpenStatement, "Expected '{%'"); expectIdentifier("endcall"); expect(TOKEN_TYPES.CloseStatement, "Expected closing statement token"); const callExpr = new CallExpression(callee, callArgs); result = new CallStatement(callExpr, callerArgs, body); break; } case "break": ++current; expect(TOKEN_TYPES.CloseStatement, "Expected closing statement token"); result = new Break(); break; case "continue": ++current; expect(TOKEN_TYPES.CloseStatement, "Expected closing statement token"); result = new Continue(); break; case "filter": { ++current; let filterNode = parsePrimaryExpression(); if (filterNode instanceof Identifier && is2(TOKEN_TYPES.OpenParen)) { filterNode = parseCallExpression(filterNode); } expect(TOKEN_TYPES.CloseStatement, "Expected closing statement token"); const filterBody = []; while (!isStatement("endfilter")) { filterBody.push(parseAny()); } expect(TOKEN_TYPES.OpenStatement, "Expected '{%'"); expectIdentifier("endfilter"); expect(TOKEN_TYPES.CloseStatement, "Expected '%}'"); result = new FilterStatement(filterNode, filterBody); break; } default: throw new SyntaxError(`Unknown statement type: ${name}`); } return result; } function parseJinjaExpression() { expect(TOKEN_TYPES.OpenExpression, "Expected opening expression token"); const result = parseExpression(); expect(TOKEN_TYPES.CloseExpression, "Expected closing expression token"); return result; } function parseSetStatement() { const left = parseExpressionSequence(); let value = null; const body = []; if (is2(TOKEN_TYPES.Equals)) { ++current; value = parseExpressionSequence(); } else { expect(TOKEN_TYPES.CloseStatement, "Expected %} token"); while (!isStatement("endset")) { body.push(parseAny()); } expect(TOKEN_TYPES.OpenStatement, "Expected {% token"); expectIdentifier("endset"); } expect(TOKEN_TYPES.CloseStatement, "Expected closing statement token"); return new SetStatement(left, value, body); } function parseIfStatement() { const test = parseExpression(); expect(TOKEN_TYPES.CloseStatement, "Expected closing statement token"); const body = []; const alternate = []; while (!isStatement("elif", "else", "endif")) { body.push(parseAny()); } if (isStatement("elif")) { ++current; ++current; const result = parseIfStatement(); alternate.push(result); } else if (isStatement("else")) { ++current; ++current; expect(TOKEN_TYPES.CloseStatement, "Expected closing statement token"); while (!isStatement("endif")) { alternate.push(parseAny()); } } return new If(test, body, alternate); } function parseMacroStatement() { const name = parsePrimaryExpression(); if (name.type !== "Identifier") { throw new SyntaxError(`Expected identifier following macro statement`); } const args2 = parseArgs(); expect(TOKEN_TYPES.CloseStatement, "Expected closing statement token"); const body = []; while (!isStatement("endmacro")) { body.push(parseAny()); } return new Macro(name, args2, body); } function parseExpressionSequence(primary = false) { const fn22 = primary ? parsePrimaryExpression : parseExpression; const expressions = [fn22()]; const isTuple = is2(TOKEN_TYPES.Comma); while (isTuple) { ++current; expressions.push(fn22()); if (!is2(TOKEN_TYPES.Comma)) { break; } } return isTuple ? new TupleLiteral(expressions) : expressions[0]; } function parseForStatement() { const loopVariable = parseExpressionSequence(true); if (!(loopVariable instanceof Identifier || loopVariable instanceof TupleLiteral)) { throw new SyntaxError(`Expected identifier/tuple for the loop variable, got ${loopVariable.type} instead`); } if (!isIdentifier("in")) { throw new SyntaxError("Expected `in` keyword following loop variable"); } ++current; const iterable = parseExpression(); expect(TOKEN_TYPES.CloseStatement, "Expected closing statement token"); const body = []; while (!isStatement("endfor", "else")) { body.push(parseAny()); } const alternative = []; if (isStatement("else")) { ++current; ++current; expect(TOKEN_TYPES.CloseStatement, "Expected closing statement token"); while (!isStatement("endfor")) { alternative.push(parseAny()); } } return new For(loopVariable, iterable, body, alternative); } function parseExpression() { return parseIfExpression(); } function parseIfExpression() { const a = parseLogicalOrExpression(); if (isIdentifier("if")) { ++current; const test = parseLogicalOrExpression(); if (isIdentifier("else")) { ++current; const falseExpr = parseIfExpression(); return new Ternary(test, a, falseExpr); } else { return new SelectExpression(a, test); } } return a; } function parseLogicalOrExpression() { let left = parseLogicalAndExpression(); while (isIdentifier("or")) { const operator = tokens[current]; ++current; const right = parseLogicalAndExpression(); left = new BinaryExpression(operator, left, right); } return left; } function parseLogicalAndExpression() { let left = parseLogicalNegationExpression(); while (isIdentifier("and")) { const operator = tokens[current]; ++current; const right = parseLogicalNegationExpression(); left = new BinaryExpression(operator, left, right); } return left; } function parseLogicalNegationExpression() { let right; while (isIdentifier("not")) { const operator = tokens[current]; ++current; const arg = parseLogicalNegationExpression(); right = new UnaryExpression(operator, arg); } return right ?? parseComparisonExpression(); } function parseComparisonExpression() { let left = parseAdditiveExpression(); while (true) { let operator; if (isIdentifier("not", "in")) { operator = new Token("not in", TOKEN_TYPES.Identifier); current += 2; } else if (isIdentifier("in")) { operator = tokens[current++]; } else if (is2(TOKEN_TYPES.ComparisonBinaryOperator)) { operator = tokens[current++]; } else { break; } const right = parseAdditiveExpression(); left = new BinaryExpression(operator, left, right); } return left; } function parseAdditiveExpression() { let left = parseMultiplicativeExpression(); while (is2(TOKEN_TYPES.AdditiveBinaryOperator)) { const operator = tokens[current]; ++current; const right = parseMultiplicativeExpression(); left = new BinaryExpression(operator, left, right); } return left; } function parseCallMemberExpression() { const member = parseMemberExpression(parsePrimaryExpression()); if (is2(TOKEN_TYPES.OpenParen)) { return parseCallExpression(member); } return member; } function parseCallExpression(callee) { let expression = new CallExpression(callee, parseArgs()); expression = parseMemberExpression(expression); if (is2(TOKEN_TYPES.OpenParen)) { expression = parseCallExpression(expression); } return expression; } function parseArgs() { expect(TOKEN_TYPES.OpenParen, "Expected opening parenthesis for arguments list"); const args2 = parseArgumentsList(); expect(TOKEN_TYPES.CloseParen, "Expected closing parenthesis for arguments list"); return args2; } function parseArgumentsList() { const args2 = []; while (!is2(TOKEN_TYPES.CloseParen)) { let argument; if (tokens[current].type === TOKEN_TYPES.MultiplicativeBinaryOperator && tokens[current].value === "*") { ++current; const expr = parseExpression(); argument = new SpreadExpression(expr); } else { argument = parseExpression(); if (is2(TOKEN_TYPES.Equals)) { ++current; if (!(argument instanceof Identifier)) { throw new SyntaxError(`Expected identifier for keyword argument`); } const value = parseExpression(); argument = new KeywordArgumentExpression(argument, value); } } args2.push(argument); if (is2(TOKEN_TYPES.Comma)) { ++current; } } return args2; } function parseMemberExpressionArgumentsList() { const slices = []; let isSlice = false; while (!is2(TOKEN_TYPES.CloseSquareBracket)) { if (is2(TOKEN_TYPES.Colon)) { slices.push(void 0); ++current; isSlice = true; } else { slices.push(parseExpression()); if (is2(TOKEN_TYPES.Colon)) { ++current; isSlice = true; } } } if (slices.length === 0) { throw new SyntaxError(`Expected at least one argument for member/slice expression`); } if (isSlice) { if (slices.length > 3) { throw new SyntaxError(`Expected 0-3 arguments for slice expression`); } return new SliceExpression(...slices); } return slices[0]; } function parseMemberExpression(object) { while (is2(TOKEN_TYPES.Dot) || is2(TOKEN_TYPES.OpenSquareBracket)) { const operator = tokens[current]; ++current; let property; const computed = operator.type === TOKEN_TYPES.OpenSquareBracket; if (computed) { property = parseMemberExpressionArgumentsList(); expect(TOKEN_TYPES.CloseSquareBracket, "Expected closing square bracket"); } else { property = parsePrimaryExpression(); if (property.type !== "Identifier") { throw new SyntaxError(`Expected identifier following dot operator`); } } object = new MemberExpression(object, property, computed); } return object; } function parseMultiplicativeExpression() { let left = parseTestExpression(); while (is2(TOKEN_TYPES.MultiplicativeBinaryOperator)) { const operator = tokens[current++]; const right = parseTestExpression(); left = new BinaryExpression(operator, left, right); } return left; } function parseTestExpression() { let operand = parseFilterExpression(); while (isIdentifier("is")) { ++current; const negate = isIdentifier("not"); if (negate) { ++current; } const filter = parsePrimaryExpression(); if (!(filter instanceof Identifier)) { throw new SyntaxError(`Expected identifier for the test`); } operand = new TestExpression(operand, negate, filter); } return operand; } function parseFilterExpression() { let operand = parseCallMemberExpression(); while (is2(TOKEN_TYPES.Pipe)) { ++current; let filter = parsePrimaryExpression(); if (!(filter instanceof Identifier)) { throw new SyntaxError(`Expected identifier for the filter`); } if (is2(TOKEN_TYPES.OpenParen)) { filter = parseCallExpression(filter); } operand = new FilterExpression(operand, filter); } return operand; } function parsePrimaryExpression() { const token = tokens[current++]; switch (token.type) { case TOKEN_TYPES.NumericLiteral: { const num = token.value; return num.includes(".") ? new FloatLiteral(Number(num)) : new IntegerLiteral(Number(num)); } case TOKEN_TYPES.StringLiteral: { let value = token.value; while (is2(TOKEN_TYPES.StringLiteral)) { value += tokens[current++].value; } return new StringLiteral(value); } case TOKEN_TYPES.Identifier: return new Identifier(token.value); case TOKEN_TYPES.OpenParen: { const expression = parseExpressionSequence(); expect(TOKEN_TYPES.CloseParen, "Expected closing parenthesis, got ${tokens[current].type} instead."); return expression; } case TOKEN_TYPES.OpenSquareBracket: { const values = []; while (!is2(TOKEN_TYPES.CloseSquareBracket)) { values.push(parseExpression()); if (is2(TOKEN_TYPES.Comma)) { ++current; } } ++current; return new ArrayLiteral(values); } case TOKEN_TYPES.OpenCurlyBracket: { const values = /* @__PURE__ */ new Map(); while (!is2(TOKEN_TYPES.CloseCurlyBracket)) { const key = parseExpression(); expect(TOKEN_TYPES.Colon, "Expected colon between key and value in object literal"); const value = parseExpression(); values.set(key, value); if (is2(TOKEN_TYPES.Comma)) { ++current; } } ++current; return new ObjectLiteral(values); } default: throw new SyntaxError(`Unexpected token: ${token.type}`); } } while (current < tokens.length) { program.body.push(parseAny()); } return program; } function range(start, stop, step = 1) { if (stop === void 0) { stop = start; start = 0; } if (step === 0) { throw new Error("range() step must not be zero"); } const result = []; if (step > 0) { for (let i = start; i < stop; i += step) { result.push(i); } } else { for (let i = start; i > stop; i += step) { result.push(i); } } return result; } function slice(array, start, stop, step = 1) { const direction = Math.sign(step); if (direction >= 0) { start = (start ??= 0) < 0 ? Math.max(array.length + start, 0) : Math.min(start, array.length); stop = (stop ??= array.length) < 0 ? Math.max(array.length + stop, 0) : Math.min(stop, array.length); } else { start = (start ??= array.length - 1) < 0 ? Math.max(array.length + start, -1) : Math.min(start, array.length - 1); stop = (stop ??= -1) < -1 ? Math.max(array.length + stop, -1) : Math.min(stop, array.length - 1); } const result = []; for (let i = start; direction * i < direction * stop; i += step) { result.push(array[i]); } return result; } function titleCase(value) { return value.replace(/\b\w/g, (c) => c.toUpperCase()); } function strftime_now(format2) { return strftime(/* @__PURE__ */ new Date(), format2); } function strftime(date, format2) { const monthFormatterLong = new Intl.DateTimeFormat(void 0, { month: "long" }); const monthFormatterShort = new Intl.DateTimeFormat(void 0, { month: "short" }); const pad2 = (n) => n < 10 ? "0" + n : n.toString(); return format2.replace(/%[YmdbBHM%]/g, (token) => { switch (token) { case "%Y": return date.getFullYear().toString(); case "%m": return pad2(date.getMonth() + 1); case "%d": return pad2(date.getDate()); case "%b": return monthFormatterShort.format(date); case "%B": return monthFormatterLong.format(date); case "%H": return pad2(date.getHours()); case "%M": return pad2(date.getMinutes()); case "%%": return "%"; default: return token; } }); } function escapeRegExp(s) { return s.replace(/[.*+?^${}()|[\]\\]/g, "\\$&"); } function replace(str, oldvalue, newvalue, count2) { if (count2 === 0) return str; let remaining = count2 == null || count2 < 0 ? Infinity : count2; const pattern = oldvalue.length === 0 ? new RegExp("(?=)", "gu") : new RegExp(escapeRegExp(oldvalue), "gu"); return str.replaceAll(pattern, (match) => { if (remaining > 0) { --remaining; return newvalue; } return match; }); } var BreakControl = class extends Error { }; var ContinueControl = class extends Error { }; var RuntimeValue = class { type = "RuntimeValue"; value; /** * A collection of built-in functions for this type. */ builtins = /* @__PURE__ */ new Map(); /** * Creates a new RuntimeValue. */ constructor(value = void 0) { this.value = value; } /** * Determines truthiness or falsiness of the runtime value. * This function should be overridden by subclasses if it has custom truthiness criteria. * @returns {BooleanValue} BooleanValue(true) if the value is truthy, BooleanValue(false) otherwise. */ __bool__() { return new BooleanValue(!!this.value); } toString() { return String(this.value); } }; var IntegerValue = class extends RuntimeValue { type = "IntegerValue"; }; var FloatValue = class extends RuntimeValue { type = "FloatValue"; toString() { return this.value % 1 === 0 ? this.value.toFixed(1) : this.value.toString(); } }; var StringValue = class extends RuntimeValue { type = "StringValue"; builtins = /* @__PURE__ */ new Map([ [ "upper", new FunctionValue(() => { return new StringValue(this.value.toUpperCase()); }) ], [ "lower", new FunctionValue(() => { return new StringValue(this.value.toLowerCase()); }) ], [ "strip", new FunctionValue(() => { return new StringValue(this.value.trim()); }) ], [ "title", new FunctionValue(() => { return new StringValue(titleCase(this.value)); }) ], [ "capitalize", new FunctionValue(() => { return new StringValue(this.value.charAt(0).toUpperCase() + this.value.slice(1)); }) ], ["length", new IntegerValue(this.value.length)], [ "rstrip", new FunctionValue(() => { return new StringValue(this.value.trimEnd()); }) ], [ "lstrip", new FunctionValue(() => { return new StringValue(this.value.trimStart()); }) ], [ "startswith", new FunctionValue((args2) => { if (args2.length === 0) { throw new Error("startswith() requires at least one argument"); } const pattern = args2[0]; if (pattern instanceof StringValue) { return new BooleanValue(this.value.startsWith(pattern.value)); } else if (pattern instanceof ArrayValue) { for (const item of pattern.value) { if (!(item instanceof StringValue)) { throw new Error("startswith() tuple elements must be strings"); } if (this.value.startsWith(item.value)) { return new BooleanValue(true); } } return new BooleanValue(false); } throw new Error("startswith() argument must be a string or tuple of strings"); }) ], [ "endswith", new FunctionValue((args2) => { if (args2.length === 0) { throw new Error("endswith() requires at least one argument"); } const pattern = args2[0]; if (pattern instanceof StringValue) { return new BooleanValue(this.value.endsWith(pattern.value)); } else if (pattern instanceof ArrayValue) { for (const item of pattern.value) { if (!(item instanceof StringValue)) { throw new Error("endswith() tuple elements must be strings"); } if (this.value.endsWith(item.value)) { return new BooleanValue(true); } } return new BooleanValue(false); } throw new Error("endswith() argument must be a string or tuple of strings"); }) ], [ "split", // follows Python's `str.split(sep=None, maxsplit=-1)` function behavior // https://docs.python.org/3.13/library/stdtypes.html#str.split new FunctionValue((args2) => { const sep = args2[0] ?? new NullValue(); if (!(sep instanceof StringValue || sep instanceof NullValue)) { throw new Error("sep argument must be a string or null"); } const maxsplit = args2[1] ?? new IntegerValue(-1); if (!(maxsplit instanceof IntegerValue)) { throw new Error("maxsplit argument must be a number"); } let result = []; if (sep instanceof NullValue) { const text = this.value.trimStart(); for (const { 0: match, index } of text.matchAll(/\S+/g)) { if (maxsplit.value !== -1 && result.length >= maxsplit.value && index !== void 0) { result.push(match + text.slice(index + match.length)); break; } result.push(match); } } else { if (sep.value === "") { throw new Error("empty separator"); } result = this.value.split(sep.value); if (maxsplit.value !== -1 && result.length > maxsplit.value) { result.push(result.splice(maxsplit.value).join(sep.value)); } } return new ArrayValue(result.map((part) => new StringValue(part))); }) ], [ "replace", new FunctionValue((args2) => { if (args2.length < 2) { throw new Error("replace() requires at least two arguments"); } const oldValue = args2[0]; const newValue = args2[1]; if (!(oldValue instanceof StringValue && newValue instanceof StringValue)) { throw new Error("replace() arguments must be strings"); } let count2; if (args2.length > 2) { if (args2[2].type === "KeywordArgumentsValue") { count2 = args2[2].value.get("count") ?? new NullValue(); } else { count2 = args2[2]; } } else { count2 = new NullValue(); } if (!(count2 instanceof IntegerValue || count2 instanceof NullValue)) { throw new Error("replace() count argument must be a number or null"); } return new StringValue(replace(this.value, oldValue.value, newValue.value, count2.value)); }) ] ]); }; var BooleanValue = class extends RuntimeValue { type = "BooleanValue"; }; var NON_ASCII_CHARS = /[\x7f-\uffff]/g; function makeAsciiSafe(str) { return str.replace(NON_ASCII_CHARS, (char) => "\\u" + char.charCodeAt(0).toString(16).padStart(4, "0")); } function toJSON(input, options = {}, depth = 0, convertUndefinedToNull = true) { const { indent = null, ensureAscii = false, separators = null, sortKeys = false } = options; let itemSeparator; let keySeparator; if (separators) { [itemSeparator, keySeparator] = separators; } else if (indent) { itemSeparator = ","; keySeparator = ": "; } else { itemSeparator = ", "; keySeparator = ": "; } switch (input.type) { case "NullValue": return "null"; case "UndefinedValue": return convertUndefinedToNull ? "null" : "undefined"; case "IntegerValue": case "FloatValue": case "BooleanValue": return JSON.stringify(input.value); case "StringValue": { let result = JSON.stringify(input.value); if (ensureAscii) { result = makeAsciiSafe(result); } return result; } case "ArrayValue": case "ObjectValue": { const indentValue = indent ? " ".repeat(indent) : ""; const basePadding = "\n" + indentValue.repeat(depth); const childrenPadding = basePadding + indentValue; if (input.type === "ArrayValue") { const core = input.value.map((x) => toJSON(x, options, depth + 1, convertUndefinedToNull)); return indent ? `[${childrenPadding}${core.join(`${itemSeparator}${childrenPadding}`)}${basePadding}]` : `[${core.join(itemSeparator)}]`; } else { let entries = Array.from(input.value.entries()); if (sortKeys) { entries = entries.sort(([a], [b]) => a.localeCompare(b)); } const core = entries.map(([key, value]) => { let keyStr = JSON.stringify(key); if (ensureAscii) { keyStr = makeAsciiSafe(keyStr); } const v = `${keyStr}${keySeparator}${toJSON(value, options, depth + 1, convertUndefinedToNull)}`; return indent ? `${childrenPadding}${v}` : v; }); return indent ? `{${core.join(itemSeparator)}${basePadding}}` : `{${core.join(itemSeparator)}}`; } } default: throw new Error(`Cannot convert to JSON: ${input.type}`); } } var ObjectValue = class extends RuntimeValue { type = "ObjectValue"; /** * NOTE: necessary to override since all JavaScript arrays are considered truthy, * while only non-empty Python arrays are consider truthy. * * e.g., * - JavaScript: {} && 5 -> 5 * - Python: {} and 5 -> {} */ __bool__() { return new BooleanValue(this.value.size > 0); } builtins = /* @__PURE__ */ new Map([ [ "get", new FunctionValue(([key, defaultValue]) => { if (!(key instanceof StringValue)) { throw new Error(`Object key must be a string: got ${key.type}`); } return this.value.get(key.value) ?? defaultValue ?? new NullValue(); }) ], ["items", new FunctionValue(() => this.items())], ["keys", new FunctionValue(() => this.keys())], ["values", new FunctionValue(() => this.values())], [ "dictsort", new FunctionValue((args2) => { let kwargs = /* @__PURE__ */ new Map(); const positionalArgs = args2.filter((arg) => { if (arg instanceof KeywordArgumentsValue) { kwargs = arg.value; return false; } return true; }); const caseSensitive = positionalArgs.at(0) ?? kwargs.get("case_sensitive") ?? new BooleanValue(false); if (!(caseSensitive instanceof BooleanValue)) { throw new Error("case_sensitive must be a boolean"); } const by = positionalArgs.at(1) ?? kwargs.get("by") ?? new StringValue("key"); if (!(by instanceof StringValue)) { throw new Error("by must be a string"); } if (!["key", "value"].includes(by.value)) { throw new Error("by must be either 'key' or 'value'"); } const reverse = positionalArgs.at(2) ?? kwargs.get("reverse") ?? new BooleanValue(false); if (!(reverse instanceof BooleanValue)) { throw new Error("reverse must be a boolean"); } const items = Array.from(this.value.entries()).map(([key, value]) => new ArrayValue([new StringValue(key), value])).sort((a, b) => { const index = by.value === "key" ? 0 : 1; const aVal = a.value[index]; const bVal = b.value[index]; const result = compareRuntimeValues(aVal, bVal, caseSensitive.value); return reverse.value ? -result : result; }); return new ArrayValue(items); }) ] ]); items() { return new ArrayValue( Array.from(this.value.entries()).map(([key, value]) => new ArrayValue([new StringValue(key), value])) ); } keys() { return new ArrayValue(Array.from(this.value.keys()).map((key) => new StringValue(key))); } values() { return new ArrayValue(Array.from(this.value.values())); } toString() { return toJSON(this, {}, 0, false); } }; var KeywordArgumentsValue = class extends ObjectValue { type = "KeywordArgumentsValue"; }; var ArrayValue = class extends RuntimeValue { type = "ArrayValue"; builtins = /* @__PURE__ */ new Map([["length", new IntegerValue(this.value.length)]]); /** * NOTE: necessary to override since all JavaScript arrays are considered truthy, * while only non-empty Python arrays are consider truthy. * * e.g., * - JavaScript: [] && 5 -> 5 * - Python: [] and 5 -> [] */ __bool__() { return new BooleanValue(this.value.length > 0); } toString() { return toJSON(this, {}, 0, false); } }; var TupleValue = class extends ArrayValue { type = "TupleValue"; }; var FunctionValue = class extends RuntimeValue { type = "FunctionValue"; }; var NullValue = class extends RuntimeValue { type = "NullValue"; }; var UndefinedValue = class extends RuntimeValue { type = "UndefinedValue"; }; var Environment = class { constructor(parent) { this.parent = parent; } /** * The variables declared in this environment. */ variables = /* @__PURE__ */ new Map([ [ "namespace", new FunctionValue((args2) => { if (args2.length === 0) { return new ObjectValue(/* @__PURE__ */ new Map()); } if (args2.length !== 1 || !(args2[0] instanceof ObjectValue)) { throw new Error("`namespace` expects either zero arguments or a single object argument"); } return args2[0]; }) ] ]); /** * The tests available in this environment. */ tests = /* @__PURE__ */ new Map([ ["boolean", (operand) => operand.type === "BooleanValue"], ["callable", (operand) => operand instanceof FunctionValue], [ "odd", (operand) => { if (!(operand instanceof IntegerValue)) { throw new Error(`cannot odd on ${operand.type}`); } return operand.value % 2 !== 0; } ], [ "even", (operand) => { if (!(operand instanceof IntegerValue)) { throw new Error(`cannot even on ${operand.type}`); } return operand.value % 2 === 0; } ], ["false", (operand) => operand.type === "BooleanValue" && !operand.value], ["true", (operand) => operand.type === "BooleanValue" && operand.value], ["none", (operand) => operand.type === "NullValue"], ["string", (operand) => operand.type === "StringValue"], ["number", (operand) => operand instanceof IntegerValue || operand instanceof FloatValue], ["integer", (operand) => operand instanceof IntegerValue], ["iterable", (operand) => operand.type === "ArrayValue" || operand.type === "StringValue"], ["mapping", (operand) => operand instanceof ObjectValue], [ "sequence", (operand) => operand instanceof ArrayValue || operand instanceof ObjectValue || operand instanceof StringValue ], [ "lower", (operand) => { const str = operand.value; return operand.type === "StringValue" && str === str.toLowerCase(); } ], [ "upper", (operand) => { const str = operand.value; return operand.type === "StringValue" && str === str.toUpperCase(); } ], ["none", (operand) => operand.type === "NullValue"], ["defined", (operand) => operand.type !== "UndefinedValue"], ["undefined", (operand) => operand.type === "UndefinedValue"], ["equalto", (a, b) => a.value === b.value], ["eq", (a, b) => a.value === b.value] ]); /** * Set the value of a variable in the current environment. */ set(name, value) { return this.declareVariable(name, convertToRuntimeValues(value)); } declareVariable(name, value) { if (this.variables.has(name)) { throw new SyntaxError(`Variable already declared: ${name}`); } this.variables.set(name, value); return value; } // private assignVariable(name: string, value: AnyRuntimeValue): AnyRuntimeValue { // const env = this.resolve(name); // env.variables.set(name, value); // return value; // } /** * Set variable in the current scope. * See https://jinja.palletsprojects.com/en/3.0.x/templates/#assignments for more information. */ setVariable(name, value) { this.variables.set(name, value); return value; } /** * Resolve the environment in which the variable is declared. * @param {string} name The name of the variable. * @returns {Environment} The environment in which the variable is declared. */ resolve(name) { if (this.variables.has(name)) { return this; } if (this.parent) { return this.parent.resolve(name); } throw new Error(`Unknown variable: ${name}`); } lookupVariable(name) { try { return this.resolve(name).variables.get(name) ?? new UndefinedValue(); } catch { return new UndefinedValue(); } } }; function setupGlobals(env2) { env2.set("false", false); env2.set("true", true); env2.set("none", null); env2.set("raise_exception", (args2) => { throw new Error(args2); }); env2.set("range", range); env2.set("strftime_now", strftime_now); env2.set("True", true); env2.set("False", false); env2.set("None", null); } function getAttributeValue(item, attributePath) { const parts = attributePath.split("."); let value = item; for (const part of parts) { if (value instanceof ObjectValue) { value = value.value.get(part) ?? new UndefinedValue(); } else if (value instanceof ArrayValue) { const index = parseInt(part, 10); if (!isNaN(index) && index >= 0 && index < value.value.length) { value = value.value[index]; } else { return new UndefinedValue(); } } else { return new UndefinedValue(); } } return value; } function compareRuntimeValues(a, b, caseSensitive = false) { if (a instanceof NullValue && b instanceof NullValue) { return 0; } if (a instanceof NullValue || b instanceof NullValue) { throw new Error(`Cannot compare ${a.type} with ${b.type}`); } if (a instanceof UndefinedValue && b instanceof UndefinedValue) { return 0; } if (a instanceof UndefinedValue || b instanceof UndefinedValue) { throw new Error(`Cannot compare ${a.type} with ${b.type}`); } const isNumericLike = (v) => v instanceof IntegerValue || v instanceof FloatValue || v instanceof BooleanValue; const getNumericValue = (v) => { if (v instanceof BooleanValue) { return v.value ? 1 : 0; } return v.value; }; if (isNumericLike(a) && isNumericLike(b)) { const aNum = getNumericValue(a); const bNum = getNumericValue(b); return aNum < bNum ? -1 : aNum > bNum ? 1 : 0; } if (a.type !== b.type) { throw new Error(`Cannot compare different types: ${a.type} and ${b.type}`); } switch (a.type) { case "StringValue": { let aStr = a.value; let bStr = b.value; if (!caseSensitive) { aStr = aStr.toLowerCase(); bStr = bStr.toLowerCase(); } return aStr < bStr ? -1 : aStr > bStr ? 1 : 0; } default: throw new Error(`Cannot compare type: ${a.type}`); } } var Interpreter = class { global; constructor(env2) { this.global = env2 ?? new Environment(); } /** * Run the program. */ run(program) { return this.evaluate(program, this.global); } /** * Evaluates expressions following the binary operation type. */ evaluateBinaryExpression(node, environment) { const left = this.evaluate(node.left, environment); switch (node.operator.value) { case "and": return left.__bool__().value ? this.evaluate(node.right, environment) : left; case "or": return left.__bool__().value ? left : this.evaluate(node.right, environment); } const right = this.evaluate(node.right, environment); switch (node.operator.value) { case "==": return new BooleanValue(left.value == right.value); case "!=": return new BooleanValue(left.value != right.value); } if (left instanceof UndefinedValue || right instanceof UndefinedValue) { if (right instanceof UndefinedValue && ["in", "not in"].includes(node.operator.value)) { return new BooleanValue(node.operator.value === "not in"); } throw new Error(`Cannot perform operation ${node.operator.value} on undefined values`); } else if (left instanceof NullValue || right instanceof NullValue) { throw new Error("Cannot perform operation on null values"); } else if (node.operator.value === "~") { return new StringValue(left.value.toString() + right.value.toString()); } else if ((left instanceof IntegerValue || left instanceof FloatValue) && (right instanceof IntegerValue || right instanceof FloatValue)) { const a = left.value, b = right.value; switch (node.operator.value) { case "+": case "-": case "*": { const res = node.operator.value === "+" ? a + b : node.operator.value === "-" ? a - b : a * b; const isFloat = left instanceof FloatValue || right instanceof FloatValue; return isFloat ? new FloatValue(res) : new IntegerValue(res); } case "/": return new FloatValue(a / b); case "%": { const rem = a % b; const isFloat = left instanceof FloatValue || right instanceof FloatValue; return isFloat ? new FloatValue(rem) : new IntegerValue(rem); } case "<": return new BooleanValue(a < b); case ">": return new BooleanValue(a > b); case ">=": return new BooleanValue(a >= b); case "<=": return new BooleanValue(a <= b); } } else if (left instanceof ArrayValue && right instanceof ArrayValue) { switch (node.operator.value) { case "+": return new ArrayValue(left.value.concat(right.value)); } } else if (right instanceof ArrayValue) { const member = right.value.find((x) => x.value === left.value) !== void 0; switch (node.operator.value) { case "in": return new BooleanValue(member); case "not in": return new BooleanValue(!member); } } if (left instanceof StringValue || right instanceof StringValue) { switch (node.operator.value) { case "+": return new StringValue(left.value.toString() + right.value.toString()); } } if (left instanceof StringValue && right instanceof StringValue) { switch (node.operator.value) { case "in": return new BooleanValue(right.value.includes(left.value)); case "not in": return new BooleanValue(!right.value.includes(left.value)); } } if (left instanceof StringValue && right instanceof ObjectValue) { switch (node.operator.value) { case "in": return new BooleanValue(right.value.has(left.value)); case "not in": return new BooleanValue(!right.value.has(left.value)); } } throw new SyntaxError(`Unknown operator "${node.operator.value}" between ${left.type} and ${right.type}`); } evaluateArguments(args2, environment) { const positionalArguments = []; const keywordArguments = /* @__PURE__ */ new Map(); for (const argument of args2) { if (argument.type === "SpreadExpression") { const spreadNode = argument; const val = this.evaluate(spreadNode.argument, environment); if (!(val instanceof ArrayValue)) { throw new Error(`Cannot unpack non-iterable type: ${val.type}`); } for (const item of val.value) { positionalArguments.push(item); } } else if (argument.type === "KeywordArgumentExpression") { const kwarg = argument; keywordArguments.set(kwarg.key.value, this.evaluate(kwarg.value, environment)); } else { if (keywordArguments.size > 0) { throw new Error("Positional arguments must come before keyword arguments"); } positionalArguments.push(this.evaluate(argument, environment)); } } return [positionalArguments, keywordArguments]; } applyFilter(operand, filterNode, environment) { if (filterNode.type === "Identifier") { const filter = filterNode; if (filter.value === "safe") { return operand; } if (filter.value === "tojson") { return new StringValue(toJSON(operand, {})); } if (operand instanceof ArrayValue) { switch (filter.value) { case "list": return operand; case "first": return operand.value[0]; case "last": return operand.value[operand.value.length - 1]; case "length": return new IntegerValue(operand.value.length); case "reverse": return new ArrayValue(operand.value.slice().reverse()); case "sort": { return new ArrayValue(operand.value.slice().sort((a, b) => compareRuntimeValues(a, b, false))); } case "join": return new StringValue(operand.value.map((x) => x.value).join("")); case "string": return new StringValue(toJSON(operand, {}, 0, false)); case "unique": { const seen = /* @__PURE__ */ new Set(); const output = []; for (const item of operand.value) { if (!seen.has(item.value)) { seen.add(item.value); output.push(item); } } return new ArrayValue(output); } default: throw new Error(`Unknown ArrayValue filter: ${filter.value}`); } } else if (operand instanceof StringValue) { switch (filter.value) { case "length": case "upper": case "lower": case "title": case "capitalize": { const builtin = operand.builtins.get(filter.value); if (builtin instanceof FunctionValue) { return builtin.value( /* no arguments */ [], environment ); } else if (builtin instanceof IntegerValue) { return builtin; } else { throw new Error(`Unknown StringValue filter: ${filter.value}`); } } case "trim": return new StringValue(operand.value.trim()); case "indent": return new StringValue( operand.value.split("\n").map( (x, i) => ( // By default, don't indent the first line or empty lines i === 0 || x.length === 0 ? x : " " + x ) ).join("\n") ); case "join": case "string": return operand; case "int": { const val = parseInt(operand.value, 10); return new IntegerValue(isNaN(val) ? 0 : val); } case "float": { const val = parseFloat(operand.value); return new FloatValue(isNaN(val) ? 0 : val); } default: throw new Error(`Unknown StringValue filter: ${filter.value}`); } } else if (operand instanceof IntegerValue || operand instanceof FloatValue) { switch (filter.value) { case "abs": return operand instanceof IntegerValue ? new IntegerValue(Math.abs(operand.value)) : new FloatValue(Math.abs(operand.value)); case "int": return new IntegerValue(Math.floor(operand.value)); case "float": return new FloatValue(operand.value); case "string": return new StringValue(operand.toString()); default: throw new Error(`Unknown NumericValue filter: ${filter.value}`); } } else if (operand instanceof ObjectValue) { switch (filter.value) { case "items": return new ArrayValue( Array.from(operand.value.entries()).map(([key, value]) => new ArrayValue([new StringValue(key), value])) ); case "length": return new IntegerValue(operand.value.size); default: { const builtin = operand.builtins.get(filter.value); if (builtin) { if (builtin instanceof FunctionValue) { return builtin.value([], environment); } return builtin; } throw new Error(`Unknown ObjectValue filter: ${filter.value}`); } } } else if (operand instanceof BooleanValue) { switch (filter.value) { case "bool": return new BooleanValue(operand.value); case "int": return new IntegerValue(operand.value ? 1 : 0); case "float": return new FloatValue(operand.value ? 1 : 0); case "string": return new StringValue(operand.value ? "true" : "false"); default: throw new Error(`Unknown BooleanValue filter: ${filter.value}`); } } throw new Error(`Cannot apply filter "${filter.value}" to type: ${operand.type}`); } else if (filterNode.type === "CallExpression") { const filter = filterNode; if (filter.callee.type !== "Identifier") { throw new Error(`Unknown filter: ${filter.callee.type}`); } const filterName = filter.callee.value; if (filterName === "tojson") { const [, kwargs] = this.evaluateArguments(filter.args, environment); const indent = kwargs.get("indent") ?? new NullValue(); if (!(indent instanceof IntegerValue || indent instanceof NullValue)) { throw new Error("If set, indent must be a number"); } const ensureAscii = kwargs.get("ensure_ascii") ?? new BooleanValue(false); if (!(ensureAscii instanceof BooleanValue)) { throw new Error("If set, ensure_ascii must be a boolean"); } const sortKeys = kwargs.get("sort_keys") ?? new BooleanValue(false); if (!(sortKeys instanceof BooleanValue)) { throw new Error("If set, sort_keys must be a boolean"); } const separatorsArg = kwargs.get("separators") ?? new NullValue(); let separators = null; if (separatorsArg instanceof ArrayValue || separatorsArg instanceof TupleValue) { if (separatorsArg.value.length !== 2) { throw new Error("separators must be a tuple of two strings"); } const [itemSep, keySep] = separatorsArg.value; if (!(itemSep instanceof StringValue) || !(keySep instanceof StringValue)) { throw new Error("separators must be a tuple of two strings"); } separators = [itemSep.value, keySep.value]; } else if (!(separatorsArg instanceof NullValue)) { throw new Error("If set, separators must be a tuple of two strings"); } return new StringValue( toJSON(operand, { indent: indent.value, ensureAscii: ensureAscii.value, sortKeys: sortKeys.value, separators }) ); } else if (filterName === "join") { let value; if (operand instanceof StringValue) { value = Array.from(operand.value); } else if (operand instanceof ArrayValue) { value = operand.value.map((x) => x.value); } else { throw new Error(`Cannot apply filter "${filterName}" to type: ${operand.type}`); } const [args2, kwargs] = this.evaluateArguments(filter.args, environment); const separator = args2.at(0) ?? kwargs.get("separator") ?? new StringValue(""); if (!(separator instanceof StringValue)) { throw new Error("separator must be a string"); } return new StringValue(value.join(separator.value)); } else if (filterName === "int" || filterName === "float") { const [args2, kwargs] = this.evaluateArguments(filter.args, environment); const defaultValue = args2.at(0) ?? kwargs.get("default") ?? (filterName === "int" ? new IntegerValue(0) : new FloatValue(0)); if (operand instanceof StringValue) { const val = filterName === "int" ? parseInt(operand.value, 10) : parseFloat(operand.value); return isNaN(val) ? defaultValue : filterName === "int" ? new IntegerValue(val) : new FloatValue(val); } else if (operand instanceof IntegerValue || operand instanceof FloatValue) { return operand; } else if (operand instanceof BooleanValue) { return filterName === "int" ? new IntegerValue(operand.value ? 1 : 0) : new FloatValue(operand.value ? 1 : 0); } else { throw new Error(`Cannot apply filter "${filterName}" to type: ${operand.type}`); } } else if (filterName === "default") { const [args2, kwargs] = this.evaluateArguments(filter.args, environment); const defaultValue = args2[0] ?? new StringValue(""); const booleanValue = args2[1] ?? kwargs.get("boolean") ?? new BooleanValue(false); if (!(booleanValue instanceof BooleanValue)) { throw new Error("`default` filter flag must be a boolean"); } if (operand instanceof UndefinedValue || booleanValue.value && !operand.__bool__().value) { return defaultValue; } return operand; } if (operand instanceof ArrayValue) { switch (filterName) { case "sort": { const [args2, kwargs] = this.evaluateArguments(filter.args, environment); const reverse = args2.at(0) ?? kwargs.get("reverse") ?? new BooleanValue(false); if (!(reverse instanceof BooleanValue)) { throw new Error("reverse must be a boolean"); } const caseSensitive = args2.at(1) ?? kwargs.get("case_sensitive") ?? new BooleanValue(false); if (!(caseSensitive instanceof BooleanValue)) { throw new Error("case_sensitive must be a boolean"); } const attribute = args2.at(2) ?? kwargs.get("attribute") ?? new NullValue(); if (!(attribute instanceof StringValue || attribute instanceof IntegerValue || attribute instanceof NullValue)) { throw new Error("attribute must be a string, integer, or null"); } const getSortValue = (item) => { if (attribute instanceof NullValue) { return item; } const attrPath = attribute instanceof IntegerValue ? String(attribute.value) : attribute.value; return getAttributeValue(item, attrPath); }; return new ArrayValue( operand.value.slice().sort((a, b) => { const aVal = getSortValue(a); const bVal = getSortValue(b); const result = compareRuntimeValues(aVal, bVal, caseSensitive.value); return reverse.value ? -result : result; }) ); } case "selectattr": case "rejectattr": { const select = filterName === "selectattr"; if (operand.value.some((x) => !(x instanceof ObjectValue))) { throw new Error(`\`${filterName}\` can only be applied to array of objects`); } if (filter.args.some((x) => x.type !== "StringLiteral")) { throw new Error(`arguments of \`${filterName}\` must be strings`); } const [attr, testName, value] = filter.args.map((x) => this.evaluate(x, environment)); let testFunction; if (testName) { const test = environment.tests.get(testName.value); if (!test) { throw new Error(`Unknown test: ${testName.value}`); } testFunction = test; } else { testFunction = (...x) => x[0].__bool__().value; } const filtered = operand.value.filter((item) => { const a = item.value.get(attr.value); const result = a ? testFunction(a, value) : false; return select ? result : !result; }); return new ArrayValue(filtered); } case "map": { const [, kwargs] = this.evaluateArguments(filter.args, environment); if (kwargs.has("attribute")) { const attr = kwargs.get("attribute"); if (!(attr instanceof StringValue)) { throw new Error("attribute must be a string"); } const defaultValue = kwargs.get("default"); const mapped = operand.value.map((item) => { if (!(item instanceof ObjectValue)) { throw new Error("items in map must be an object"); } const value = getAttributeValue(item, attr.value); return value instanceof UndefinedValue ? defaultValue ?? new UndefinedValue() : value; }); return new ArrayValue(mapped); } else { throw new Error("`map` expressions without `attribute` set are not currently supported."); } } } throw new Error(`Unknown ArrayValue filter: ${filterName}`); } else if (operand instanceof StringValue) { switch (filterName) { case "indent": { const [args2, kwargs] = this.evaluateArguments(filter.args, environment); const width = args2.at(0) ?? kwargs.get("width") ?? new IntegerValue(4); if (!(width instanceof IntegerValue)) { throw new Error("width must be a number"); } const first = args2.at(1) ?? kwargs.get("first") ?? new BooleanValue(false); const blank = args2.at(2) ?? kwargs.get("blank") ?? new BooleanValue(false); const lines = operand.value.split("\n"); const indent = " ".repeat(width.value); const indented = lines.map( (x, i) => !first.value && i === 0 || !blank.value && x.length === 0 ? x : indent + x ); return new StringValue(indented.join("\n")); } case "replace": { const replaceFn = operand.builtins.get("replace"); if (!(replaceFn instanceof FunctionValue)) { throw new Error("replace filter not available"); } const [args2, kwargs] = this.evaluateArguments(filter.args, environment); return replaceFn.value([...args2, new KeywordArgumentsValue(kwargs)], environment); } } throw new Error(`Unknown StringValue filter: ${filterName}`); } else if (operand instanceof ObjectValue) { const builtin = operand.builtins.get(filterName); if (builtin && builtin instanceof FunctionValue) { const [args2, kwargs] = this.evaluateArguments(filter.args, environment); if (kwargs.size > 0) { args2.push(new KeywordArgumentsValue(kwargs)); } return builtin.value(args2, environment); } throw new Error(`Unknown ObjectValue filter: ${filterName}`); } else { throw new Error(`Cannot apply filter "${filterName}" to type: ${operand.type}`); } } throw new Error(`Unknown filter: ${filterNode.type}`); } /** * Evaluates expressions following the filter operation type. */ evaluateFilterExpression(node, environment) { const operand = this.evaluate(node.operand, environment); return this.applyFilter(operand, node.filter, environment); } /** * Evaluates expressions following the test operation type. */ evaluateTestExpression(node, environment) { const operand = this.evaluate(node.operand, environment); const test = environment.tests.get(node.test.value); if (!test) { throw new Error(`Unknown test: ${node.test.value}`); } const result = test(operand); return new BooleanValue(node.negate ? !result : result); } /** * Evaluates expressions following the select operation type. */ evaluateSelectExpression(node, environment) { const predicate = this.evaluate(node.test, environment); if (!predicate.__bool__().value) { return new UndefinedValue(); } return this.evaluate(node.lhs, environment); } /** * Evaluates expressions following the unary operation type. */ evaluateUnaryExpression(node, environment) { const argument = this.evaluate(node.argument, environment); switch (node.operator.value) { case "not": return new BooleanValue(!argument.value); default: throw new SyntaxError(`Unknown operator: ${node.operator.value}`); } } evaluateTernaryExpression(node, environment) { const cond = this.evaluate(node.condition, environment); return cond.__bool__().value ? this.evaluate(node.trueExpr, environment) : this.evaluate(node.falseExpr, environment); } evalProgram(program, environment) { return this.evaluateBlock(program.body, environment); } evaluateBlock(statements, environment) { let result = ""; for (const statement of statements) { const lastEvaluated = this.evaluate(statement, environment); if (lastEvaluated.type !== "NullValue" && lastEvaluated.type !== "UndefinedValue") { result += lastEvaluated.toString(); } } return new StringValue(result); } evaluateIdentifier(node, environment) { return environment.lookupVariable(node.value); } evaluateCallExpression(expr, environment) { const [args2, kwargs] = this.evaluateArguments(expr.args, environment); if (kwargs.size > 0) { args2.push(new KeywordArgumentsValue(kwargs)); } const fn22 = this.evaluate(expr.callee, environment); if (fn22.type !== "FunctionValue") { throw new Error(`Cannot call something that is not a function: got ${fn22.type}`); } return fn22.value(args2, environment); } evaluateSliceExpression(object, expr, environment) { if (!(object instanceof ArrayValue || object instanceof StringValue)) { throw new Error("Slice object must be an array or string"); } const start = this.evaluate(expr.start, environment); const stop = this.evaluate(expr.stop, environment); const step = this.evaluate(expr.step, environment); if (!(start instanceof IntegerValue || start instanceof UndefinedValue)) { throw new Error("Slice start must be numeric or undefined"); } if (!(stop instanceof IntegerValue || stop instanceof UndefinedValue)) { throw new Error("Slice stop must be numeric or undefined"); } if (!(step instanceof IntegerValue || step instanceof UndefinedValue)) { throw new Error("Slice step must be numeric or undefined"); } if (object instanceof ArrayValue) { return new ArrayValue(slice(object.value, start.value, stop.value, step.value)); } else { return new StringValue(slice(Array.from(object.value), start.value, stop.value, step.value).join("")); } } evaluateMemberExpression(expr, environment) { const object = this.evaluate(expr.object, environment); let property; if (expr.computed) { if (expr.property.type === "SliceExpression") { return this.evaluateSliceExpression(object, expr.property, environment); } else { property = this.evaluate(expr.property, environment); } } else { property = new StringValue(expr.property.value); } let value; if (object instanceof ObjectValue) { if (!(property instanceof StringValue)) { throw new Error(`Cannot access property with non-string: got ${property.type}`); } value = object.value.get(property.value) ?? object.builtins.get(property.value); } else if (object instanceof ArrayValue || object instanceof StringValue) { if (property instanceof IntegerValue) { value = object.value.at(property.value); if (object instanceof StringValue) { value = new StringValue(object.value.at(property.value)); } } else if (property instanceof StringValue) { value = object.builtins.get(property.value); } else { throw new Error(`Cannot access property with non-string/non-number: got ${property.type}`); } } else { if (!(property instanceof StringValue)) { throw new Error(`Cannot access property with non-string: got ${property.type}`); } value = object.builtins.get(property.value); } return value instanceof RuntimeValue ? value : new UndefinedValue(); } evaluateSet(node, environment) { const rhs = node.value ? this.evaluate(node.value, environment) : this.evaluateBlock(node.body, environment); if (node.assignee.type === "Identifier") { const variableName = node.assignee.value; environment.setVariable(variableName, rhs); } else if (node.assignee.type === "TupleLiteral") { const tuple = node.assignee; if (!(rhs instanceof ArrayValue)) { throw new Error(`Cannot unpack non-iterable type in set: ${rhs.type}`); } const arr = rhs.value; if (arr.length !== tuple.value.length) { throw new Error(`Too ${tuple.value.length > arr.length ? "few" : "many"} items to unpack in set`); } for (let i = 0; i < tuple.value.length; ++i) { const elem = tuple.value[i]; if (elem.type !== "Identifier") { throw new Error(`Cannot unpack to non-identifier in set: ${elem.type}`); } environment.setVariable(elem.value, arr[i]); } } else if (node.assignee.type === "MemberExpression") { const member = node.assignee; const object = this.evaluate(member.object, environment); if (!(object instanceof ObjectValue)) { throw new Error("Cannot assign to member of non-object"); } if (member.property.type !== "Identifier") { throw new Error("Cannot assign to member with non-identifier property"); } object.value.set(member.property.value, rhs); } else { throw new Error(`Invalid LHS inside assignment expression: ${JSON.stringify(node.assignee)}`); } return new NullValue(); } evaluateIf(node, environment) { const test = this.evaluate(node.test, environment); return this.evaluateBlock(test.__bool__().value ? node.body : node.alternate, environment); } evaluateFor(node, environment) { const scope = new Environment(environment); let test, iterable; if (node.iterable.type === "SelectExpression") { const select = node.iterable; iterable = this.evaluate(select.lhs, scope); test = select.test; } else { iterable = this.evaluate(node.iterable, scope); } if (!(iterable instanceof ArrayValue || iterable instanceof ObjectValue)) { throw new Error(`Expected iterable or object type in for loop: got ${iterable.type}`); } if (iterable instanceof ObjectValue) { iterable = iterable.keys(); } const items = []; const scopeUpdateFunctions = []; for (let i = 0; i < iterable.value.length; ++i) { const loopScope = new Environment(scope); const current = iterable.value[i]; let scopeUpdateFunction; if (node.loopvar.type === "Identifier") { scopeUpdateFunction = (scope2) => scope2.setVariable(node.loopvar.value, current); } else if (node.loopvar.type === "TupleLiteral") { const loopvar = node.loopvar; if (current.type !== "ArrayValue") { throw new Error(`Cannot unpack non-iterable type: ${current.type}`); } const c = current; if (loopvar.value.length !== c.value.length) { throw new Error(`Too ${loopvar.value.length > c.value.length ? "few" : "many"} items to unpack`); } scopeUpdateFunction = (scope2) => { for (let j = 0; j < loopvar.value.length; ++j) { if (loopvar.value[j].type !== "Identifier") { throw new Error(`Cannot unpack non-identifier type: ${loopvar.value[j].type}`); } scope2.setVariable(loopvar.value[j].value, c.value[j]); } }; } else { throw new Error(`Invalid loop variable(s): ${node.loopvar.type}`); } if (test) { scopeUpdateFunction(loopScope); const testValue = this.evaluate(test, loopScope); if (!testValue.__bool__().value) { continue; } } items.push(current); scopeUpdateFunctions.push(scopeUpdateFunction); } let result = ""; let noIteration = true; for (let i = 0; i < items.length; ++i) { const loop = /* @__PURE__ */ new Map([ ["index", new IntegerValue(i + 1)], ["index0", new IntegerValue(i)], ["revindex", new IntegerValue(items.length - i)], ["revindex0", new IntegerValue(items.length - i - 1)], ["first", new BooleanValue(i === 0)], ["last", new BooleanValue(i === items.length - 1)], ["length", new IntegerValue(items.length)], ["previtem", i > 0 ? items[i - 1] : new UndefinedValue()], ["nextitem", i < items.length - 1 ? items[i + 1] : new UndefinedValue()] ]); scope.setVariable("loop", new ObjectValue(loop)); scopeUpdateFunctions[i](scope); try { const evaluated = this.evaluateBlock(node.body, scope); result += evaluated.value; } catch (err) { if (err instanceof ContinueControl) { continue; } if (err instanceof BreakControl) { break; } throw err; } noIteration = false; } if (noIteration) { const defaultEvaluated = this.evaluateBlock(node.defaultBlock, scope); result += defaultEvaluated.value; } return new StringValue(result); } /** * See https://jinja.palletsprojects.com/en/3.1.x/templates/#macros for more information. */ evaluateMacro(node, environment) { environment.setVariable( node.name.value, new FunctionValue((args2, scope) => { const macroScope = new Environment(scope); args2 = args2.slice(); let kwargs; if (args2.at(-1)?.type === "KeywordArgumentsValue") { kwargs = args2.pop(); } for (let i = 0; i < node.args.length; ++i) { const nodeArg = node.args[i]; const passedArg = args2[i]; if (nodeArg.type === "Identifier") { const identifier = nodeArg; if (!passedArg) { throw new Error(`Missing positional argument: ${identifier.value}`); } macroScope.setVariable(identifier.value, passedArg); } else if (nodeArg.type === "KeywordArgumentExpression") { const kwarg = nodeArg; const value = passedArg ?? // Try positional arguments first kwargs?.value.get(kwarg.key.value) ?? // Look in user-passed kwargs this.evaluate(kwarg.value, macroScope); macroScope.setVariable(kwarg.key.value, value); } else { throw new Error(`Unknown argument type: ${nodeArg.type}`); } } return this.evaluateBlock(node.body, macroScope); }) ); return new NullValue(); } evaluateCallStatement(node, environment) { const callerFn = new FunctionValue((callerArgs, callerEnv) => { const callBlockEnv = new Environment(callerEnv); if (node.callerArgs) { for (let i = 0; i < node.callerArgs.length; ++i) { const param = node.callerArgs[i]; if (param.type !== "Identifier") { throw new Error(`Caller parameter must be an identifier, got ${param.type}`); } callBlockEnv.setVariable(param.value, callerArgs[i] ?? new UndefinedValue()); } } return this.evaluateBlock(node.body, callBlockEnv); }); const [macroArgs, macroKwargs] = this.evaluateArguments(node.call.args, environment); macroArgs.push(new KeywordArgumentsValue(macroKwargs)); const fn22 = this.evaluate(node.call.callee, environment); if (fn22.type !== "FunctionValue") { throw new Error(`Cannot call something that is not a function: got ${fn22.type}`); } const newEnv = new Environment(environment); newEnv.setVariable("caller", callerFn); return fn22.value(macroArgs, newEnv); } evaluateFilterStatement(node, environment) { const rendered = this.evaluateBlock(node.body, environment); return this.applyFilter(rendered, node.filter, environment); } evaluate(statement, environment) { if (!statement) return new UndefinedValue(); switch (statement.type) { case "Program": return this.evalProgram(statement, environment); case "Set": return this.evaluateSet(statement, environment); case "If": return this.evaluateIf(statement, environment); case "For": return this.evaluateFor(statement, environment); case "Macro": return this.evaluateMacro(statement, environment); case "CallStatement": return this.evaluateCallStatement(statement, environment); case "Break": throw new BreakControl(); case "Continue": throw new ContinueControl(); case "IntegerLiteral": return new IntegerValue(statement.value); case "FloatLiteral": return new FloatValue(statement.value); case "StringLiteral": return new StringValue(statement.value); case "ArrayLiteral": return new ArrayValue(statement.value.map((x) => this.evaluate(x, environment))); case "TupleLiteral": return new TupleValue(statement.value.map((x) => this.evaluate(x, environment))); case "ObjectLiteral": { const mapping = /* @__PURE__ */ new Map(); for (const [key, value] of statement.value) { const evaluatedKey = this.evaluate(key, environment); if (!(evaluatedKey instanceof StringValue)) { throw new Error(`Object keys must be strings: got ${evaluatedKey.type}`); } mapping.set(evaluatedKey.value, this.evaluate(value, environment)); } return new ObjectValue(mapping); } case "Identifier": return this.evaluateIdentifier(statement, environment); case "CallExpression": return this.evaluateCallExpression(statement, environment); case "MemberExpression": return this.evaluateMemberExpression(statement, environment); case "UnaryExpression": return this.evaluateUnaryExpression(statement, environment); case "BinaryExpression": return this.evaluateBinaryExpression(statement, environment); case "FilterExpression": return this.evaluateFilterExpression(statement, environment); case "FilterStatement": return this.evaluateFilterStatement(statement, environment); case "TestExpression": return this.evaluateTestExpression(statement, environment); case "SelectExpression": return this.evaluateSelectExpression(statement, environment); case "Ternary": return this.evaluateTernaryExpression(statement, environment); case "Comment": return new NullValue(); default: throw new SyntaxError(`Unknown node type: ${statement.type}`); } } }; function convertToRuntimeValues(input) { switch (typeof input) { case "number": return Number.isInteger(input) ? new IntegerValue(input) : new FloatValue(input); case "string": return new StringValue(input); case "boolean": return new BooleanValue(input); case "undefined": return new UndefinedValue(); case "object": if (input === null) { return new NullValue(); } else if (Array.isArray(input)) { return new ArrayValue(input.map(convertToRuntimeValues)); } else { return new ObjectValue( new Map(Object.entries(input).map(([key, value]) => [key, convertToRuntimeValues(value)])) ); } case "function": return new FunctionValue((args2, _scope) => { const result = input(...args2.map((x) => x.value)) ?? null; return convertToRuntimeValues(result); }); default: throw new Error(`Cannot convert to runtime value: ${input}`); } } var NEWLINE = "\n"; var OPEN_STATEMENT = "{%- "; var CLOSE_STATEMENT = " -%}"; function getBinaryOperatorPrecedence(expr) { switch (expr.operator.type) { case "MultiplicativeBinaryOperator": return 4; case "AdditiveBinaryOperator": return 3; case "ComparisonBinaryOperator": return 2; case "Identifier": if (expr.operator.value === "and") return 1; if (expr.operator.value === "in" || expr.operator.value === "not in") return 2; return 0; } return 0; } function format(program, indent = " ") { const indentStr = typeof indent === "number" ? " ".repeat(indent) : indent; const body = formatStatements(program.body, 0, indentStr); return body.replace(/\n$/, ""); } function createStatement(...text) { return OPEN_STATEMENT + text.join(" ") + CLOSE_STATEMENT; } function formatStatements(stmts, depth, indentStr) { return stmts.map((stmt) => formatStatement(stmt, depth, indentStr)).join(NEWLINE); } function formatStatement(node, depth, indentStr) { const pad = indentStr.repeat(depth); switch (node.type) { case "Program": return formatStatements(node.body, depth, indentStr); case "If": return formatIf(node, depth, indentStr); case "For": return formatFor(node, depth, indentStr); case "Set": return formatSet(node, depth, indentStr); case "Macro": return formatMacro(node, depth, indentStr); case "Break": return pad + createStatement("break"); case "Continue": return pad + createStatement("continue"); case "CallStatement": return formatCallStatement(node, depth, indentStr); case "FilterStatement": return formatFilterStatement(node, depth, indentStr); case "Comment": return pad + "{# " + node.value + " #}"; default: return pad + "{{- " + formatExpression(node) + " -}}"; } } function formatIf(node, depth, indentStr) { const pad = indentStr.repeat(depth); const clauses = []; let current = node; while (current) { clauses.push({ test: current.test, body: current.body }); if (current.alternate.length === 1 && current.alternate[0].type === "If") { current = current.alternate[0]; } else { break; } } let out = pad + createStatement("if", formatExpression(clauses[0].test)) + NEWLINE + formatStatements(clauses[0].body, depth + 1, indentStr); for (let i = 1; i < clauses.length; ++i) { out += NEWLINE + pad + createStatement("elif", formatExpression(clauses[i].test)) + NEWLINE + formatStatements(clauses[i].body, depth + 1, indentStr); } if (current && current.alternate.length > 0) { out += NEWLINE + pad + createStatement("else") + NEWLINE + formatStatements(current.alternate, depth + 1, indentStr); } out += NEWLINE + pad + createStatement("endif"); return out; } function formatFor(node, depth, indentStr) { const pad = indentStr.repeat(depth); let formattedIterable = ""; if (node.iterable.type === "SelectExpression") { const n = node.iterable; formattedIterable = `${formatExpression(n.lhs)} if ${formatExpression(n.test)}`; } else { formattedIterable = formatExpression(node.iterable); } let out = pad + createStatement("for", formatExpression(node.loopvar), "in", formattedIterable) + NEWLINE + formatStatements(node.body, depth + 1, indentStr); if (node.defaultBlock.length > 0) { out += NEWLINE + pad + createStatement("else") + NEWLINE + formatStatements(node.defaultBlock, depth + 1, indentStr); } out += NEWLINE + pad + createStatement("endfor"); return out; } function formatSet(node, depth, indentStr) { const pad = indentStr.repeat(depth); const left = formatExpression(node.assignee); const right = node.value ? formatExpression(node.value) : ""; const value = pad + createStatement("set", `${left}${node.value ? " = " + right : ""}`); if (node.body.length === 0) { return value; } return value + NEWLINE + formatStatements(node.body, depth + 1, indentStr) + NEWLINE + pad + createStatement("endset"); } function formatMacro(node, depth, indentStr) { const pad = indentStr.repeat(depth); const args2 = node.args.map(formatExpression).join(", "); return pad + createStatement("macro", `${node.name.value}(${args2})`) + NEWLINE + formatStatements(node.body, depth + 1, indentStr) + NEWLINE + pad + createStatement("endmacro"); } function formatCallStatement(node, depth, indentStr) { const pad = indentStr.repeat(depth); const params = node.callerArgs && node.callerArgs.length > 0 ? `(${node.callerArgs.map(formatExpression).join(", ")})` : ""; const callExpr = formatExpression(node.call); let out = pad + createStatement(`call${params}`, callExpr) + NEWLINE; out += formatStatements(node.body, depth + 1, indentStr) + NEWLINE; out += pad + createStatement("endcall"); return out; } function formatFilterStatement(node, depth, indentStr) { const pad = indentStr.repeat(depth); const spec = node.filter.type === "Identifier" ? node.filter.value : formatExpression(node.filter); let out = pad + createStatement("filter", spec) + NEWLINE; out += formatStatements(node.body, depth + 1, indentStr) + NEWLINE; out += pad + createStatement("endfilter"); return out; } function formatExpression(node, parentPrec = -1) { switch (node.type) { case "SpreadExpression": { const n = node; return `*${formatExpression(n.argument)}`; } case "Identifier": return node.value; case "IntegerLiteral": return `${node.value}`; case "FloatLiteral": return `${node.value}`; case "StringLiteral": return JSON.stringify(node.value); case "BinaryExpression": { const n = node; const thisPrecedence = getBinaryOperatorPrecedence(n); const left = formatExpression(n.left, thisPrecedence); const right = formatExpression(n.right, thisPrecedence + 1); const expr = `${left} ${n.operator.value} ${right}`; return thisPrecedence < parentPrec ? `(${expr})` : expr; } case "UnaryExpression": { const n = node; const val = n.operator.value + (n.operator.value === "not" ? " " : "") + formatExpression(n.argument, Infinity); return val; } case "CallExpression": { const n = node; const args2 = n.args.map(formatExpression).join(", "); return `${formatExpression(n.callee)}(${args2})`; } case "MemberExpression": { const n = node; let obj = formatExpression(n.object); if (![ "Identifier", "MemberExpression", "CallExpression", "StringLiteral", "IntegerLiteral", "FloatLiteral", "ArrayLiteral", "TupleLiteral", "ObjectLiteral" ].includes(n.object.type)) { obj = `(${obj})`; } let prop = formatExpression(n.property); if (!n.computed && n.property.type !== "Identifier") { prop = `(${prop})`; } return n.computed ? `${obj}[${prop}]` : `${obj}.${prop}`; } case "FilterExpression": { const n = node; const operand = formatExpression(n.operand, Infinity); if (n.filter.type === "CallExpression") { return `${operand} | ${formatExpression(n.filter)}`; } return `${operand} | ${n.filter.value}`; } case "SelectExpression": { const n = node; return `${formatExpression(n.lhs)} if ${formatExpression(n.test)}`; } case "TestExpression": { const n = node; return `${formatExpression(n.operand)} is${n.negate ? " not" : ""} ${n.test.value}`; } case "ArrayLiteral": case "TupleLiteral": { const elems = node.value.map(formatExpression); const brackets = node.type === "ArrayLiteral" ? "[]" : "()"; return `${brackets[0]}${elems.join(", ")}${brackets[1]}`; } case "ObjectLiteral": { const entries = Array.from(node.value.entries()).map( ([k2, v]) => `${formatExpression(k2)}: ${formatExpression(v)}` ); return `{${entries.join(", ")}}`; } case "SliceExpression": { const n = node; const s = n.start ? formatExpression(n.start) : ""; const t = n.stop ? formatExpression(n.stop) : ""; const st2 = n.step ? `:${formatExpression(n.step)}` : ""; return `${s}:${t}${st2}`; } case "KeywordArgumentExpression": { const n = node; return `${n.key.value}=${formatExpression(n.value)}`; } case "Ternary": { const n = node; const expr = `${formatExpression(n.trueExpr)} if ${formatExpression(n.condition, 0)} else ${formatExpression( n.falseExpr )}`; return parentPrec > -1 ? `(${expr})` : expr; } default: throw new Error(`Unknown expression type: ${node.type}`); } } var Template = class { parsed; /** * @param {string} template The template string */ constructor(template) { const tokens = tokenize(template, { lstrip_blocks: true, trim_blocks: true }); this.parsed = parse(tokens); } render(items) { const env2 = new Environment(); setupGlobals(env2); if (items) { for (const [key, value] of Object.entries(items)) { env2.set(key, value); } } const interpreter = new Interpreter(env2); const result = interpreter.run(this.parsed); return result.value; } format(options) { return format(this.parsed, options?.indent || " "); } }; var import_node_fs2 = __toESM2(require("fs"), 1); var CONTENT_TYPE_MAP = { txt: "text/plain", html: "text/html", css: "text/css", js: "text/javascript", json: "application/json", png: "image/png", jpg: "image/jpeg", jpeg: "image/jpeg", gif: "image/gif" }; var FileResponse = class _FileResponse { /** * Creates a new `FileResponse` object. * @param {string} filePath */ constructor(filePath) { this.filePath = filePath; this.headers = new Headers(); this.exists = import_node_fs2.default.existsSync(filePath); if (this.exists) { this.status = 200; this.statusText = "OK"; let stats = import_node_fs2.default.statSync(filePath); this.headers.set("content-length", stats.size.toString()); this.updateContentType(); const stream = import_node_fs2.default.createReadStream(filePath); this.body = new ReadableStream({ start(controller) { stream.on("data", (chunk2) => controller.enqueue(chunk2)); stream.on("end", () => controller.close()); stream.on("error", (err) => controller.error(err)); }, cancel() { stream.destroy(); } }); } else { this.status = 404; this.statusText = "Not Found"; this.body = null; } } /** * Updates the 'content-type' header property of the response based on the extension of * the file specified by the filePath property of the current object. * @returns {void} */ updateContentType() { const extension = this.filePath.toString().split(".").pop().toLowerCase(); this.headers.set("content-type", CONTENT_TYPE_MAP[extension] ?? "application/octet-stream"); } /** * Clone the current FileResponse object. * @returns {FileResponse} A new FileResponse object with the same properties as the current object. */ clone() { let response = new _FileResponse(this.filePath); response.exists = this.exists; response.status = this.status; response.statusText = this.statusText; response.headers = new Headers(this.headers); return response; } /** * Reads the contents of the file specified by the filePath property and returns a Promise that * resolves with an ArrayBuffer containing the file's contents. * @returns {Promise} A Promise that resolves with an ArrayBuffer containing the file's contents. * @throws {Error} If the file cannot be read. */ async arrayBuffer() { const data = await import_node_fs2.default.promises.readFile(this.filePath); return ( /** @type {ArrayBuffer} */ data.buffer ); } /** * Reads the contents of the file specified by the filePath property and returns a Promise that * resolves with a Blob containing the file's contents. * @returns {Promise} A Promise that resolves with a Blob containing the file's contents. * @throws {Error} If the file cannot be read. */ async blob() { const data = await import_node_fs2.default.promises.readFile(this.filePath); return new Blob([ /** @type {any} */ data ], { type: this.headers.get("content-type") }); } /** * Reads the contents of the file specified by the filePath property and returns a Promise that * resolves with a string containing the file's contents. * @returns {Promise} A Promise that resolves with a string containing the file's contents. * @throws {Error} If the file cannot be read. */ async text() { return await import_node_fs2.default.promises.readFile(this.filePath, "utf8"); } /** * Reads the contents of the file specified by the filePath property and returns a Promise that * resolves with a parsed JavaScript object containing the file's contents. * * @returns {Promise} A Promise that resolves with a parsed JavaScript object containing the file's contents. * @throws {Error} If the file cannot be read. */ async json() { return JSON.parse(await this.text()); } }; var import_node_fs3 = __toESM2(require("fs"), 1); var import_node_path2 = __toESM2(require("path"), 1); var Random = class { constructor(seed) { this._mt = new Uint32Array(624); this._idx = 625; this._gauss_next = null; this._random_fn = this.random.bind(this); this.seed(seed); } /** * Seeds this instance's PRNG. * * When called with a number, initializes the state deterministically from that value. * When called with no arguments (or `undefined`/`null`), seeds from OS entropy * via `crypto.getRandomValues`, matching Python's `random.seed()` behaviour. * * @param {number} [n] The seed value. Omit to seed from OS entropy. */ seed(n) { if (n === void 0 || n === null) { if (apis.IS_CRYPTO_AVAILABLE) { const buf = new Uint32Array(1); crypto.getRandomValues(buf); n = buf[0]; } else { n = Date.now() >>> 0; } } const mt2 = this._mt; const u = (a, b) => Math.imul(a, b) >>> 0, key = []; for (let v = n || 0; v > 0; v = Math.floor(v / 4294967296)) key.push(v & 4294967295); if (!key.length) key.push(0); mt2[0] = 19650218; for (let k2 = 1; k2 < 624; ++k2) mt2[k2] = u(1812433253, mt2[k2 - 1] ^ mt2[k2 - 1] >>> 30) + k2 >>> 0; let i = 1, j = 0; for (let k2 = Math.max(624, key.length); k2 > 0; --k2, ++i, ++j) { if (i >= 624) { mt2[0] = mt2[623]; i = 1; } if (j >= key.length) j = 0; mt2[i] = (mt2[i] ^ u(mt2[i - 1] ^ mt2[i - 1] >>> 30, 1664525)) + key[j] + j >>> 0; } for (let k2 = 623; k2 > 0; --k2, ++i) { if (i >= 624) { mt2[0] = mt2[623]; i = 1; } mt2[i] = (mt2[i] ^ u(mt2[i - 1] ^ mt2[i - 1] >>> 30, 1566083941)) - i >>> 0; } mt2[0] = 2147483648; this._idx = 624; this._gauss_next = null; } /** * Generates a random unsigned 32-bit integer. * * Performs the "twist" step when the state buffer is exhausted, * then applies the standard MT19937 tempering transform. * * @returns {number} A random integer in the range [0, 2^32 - 1]. */ _int32() { const mt2 = this._mt; if (this._idx >= 624) { for (let k2 = 0; k2 < 624; ++k2) { const y2 = mt2[k2] & 2147483648 | mt2[(k2 + 1) % 624] & 2147483647; mt2[k2] = (mt2[(k2 + 397) % 624] ^ y2 >>> 1 ^ (y2 & 1 ? 2567483615 : 0)) >>> 0; } this._idx = 0; } let y = mt2[this._idx++]; y ^= y >>> 11; y ^= y << 7 & 2636928640; y ^= y << 15 & 4022730752; y ^= y >>> 18; return y >>> 0; } /** * Generates a random floating-point number in the half-open interval [0, 1). * * Combines two 32-bit integers (using 53 bits of precision) to produce * a uniformly distributed double, matching Python's `random.random()`. * * @returns {number} A random float in [0, 1). */ random() { return ((this._int32() >>> 5) * 67108864 + (this._int32() >>> 6)) / 9007199254740992; } /** * Generates a random number from a Gaussian (normal) distribution. * * Uses the Box-Muller transform with a cached spare value, * matching Python's `random.gauss()` output for the same seed. * * @param {number} [mu=0] The mean of the distribution. * @param {number} [sigma=1] The standard deviation of the distribution. * @returns {number} A normally distributed random value. */ gauss(mu = 0, sigma = 1) { let z2 = this._gauss_next; this._gauss_next = null; if (z2 === null) { const x2pi = this.random() * 2 * Math.PI, g2rad = Math.sqrt(-2 * Math.log(1 - this.random())); z2 = Math.cos(x2pi) * g2rad; this._gauss_next = Math.sin(x2pi) * g2rad; } return mu + z2 * sigma; } /** * Shuffles an array in-place using the Fisher-Yates algorithm. * * Uses rejection sampling via `getrandbits`-style bit masking to ensure * a uniform distribution, matching Python's `random.shuffle()`. * * @param {any[]} arr The array to shuffle in-place. */ shuffle(arr) { for (let i = arr.length - 1; i > 0; --i) { const k2 = 32 - Math.clz32(i + 1); let r = this._int32() >>> 32 - k2; while (r > i) r = this._int32() >>> 32 - k2; const t = arr[i]; arr[i] = arr[r]; arr[r] = t; } } /** * Selects a single element from a weighted population. * * Matches Python's `random.choices(population, weights=weights, k=1)[0]` * * @param {any[]} population The array of items to choose from. * @param {number[]} weights An array of non-negative weights, one per population element. * @returns {*} A single randomly selected element from the population. */ choices(population, weights) { return population[_weightedIndexWith(this._random_fn, weights)]; } }; function _weightedIndexWith(randomFn, weights) { let sum = 0; for (let i = 0; i < weights.length; ++i) sum += weights[i]; let x = randomFn() * sum; for (let i = 0; i < weights.length; ++i) { x -= weights[i]; if (x < 0) return i; } return weights.length - 1; } var _default = new Random(); var random = Object.freeze({ Random, seed: _default.seed.bind(_default), random: _default.random.bind(_default), gauss: _default.gauss.bind(_default), shuffle: _default.shuffle.bind(_default), choices: _default.choices.bind(_default) }); var _weightedIndex = (weights) => _weightedIndexWith(random.random, weights); var rng = new Random(); var FileCache = class { /** * Instantiate a `FileCache` object. * @param {string} path */ constructor(path3) { this.path = path3; } /** * Checks whether the given request is in the cache. * @param {string} request * @returns {Promise} */ async match(request) { let filePath = import_node_path2.default.join(this.path, request); let file = new FileResponse(filePath); if (file.exists) { return file; } else { return void 0; } } /** * Adds the given response to the cache. * @param {string} request * @param {Response} response * @param {(data: {progress: number, loaded: number, total: number}) => void} [progress_callback] Optional. * The function to call with progress updates * @returns {Promise} */ async put(request, response, progress_callback = void 0) { const filePath = import_node_path2.default.join(this.path, request); const id = apis.IS_PROCESS_AVAILABLE ? process.pid : Date.now(); const randomSuffix = rng._int32().toString(36); const tmpPath = filePath + `.tmp.${id}.${randomSuffix}`; try { const contentLength = response.headers.get("Content-Length"); const total = parseInt(contentLength ?? "0"); let loaded = 0; await import_node_fs3.default.promises.mkdir(import_node_path2.default.dirname(filePath), { recursive: true }); const fileStream = import_node_fs3.default.createWriteStream(tmpPath); const reader = response.body.getReader(); while (true) { const { done, value } = await reader.read(); if (done) { break; } await new Promise((resolve, reject) => { fileStream.write(value, (err) => { if (err) { reject(err); return; } resolve(); }); }); loaded += value.length; const progress = total ? loaded / total * 100 : 0; progress_callback?.({ progress, loaded, total }); } await new Promise((resolve, reject) => { fileStream.close((err) => err ? reject(err) : resolve()); }); await import_node_fs3.default.promises.rename(tmpPath, filePath); } catch (error) { try { await import_node_fs3.default.promises.unlink(tmpPath); } catch { } throw error; } } /** * Deletes the cache entry for the given request. * @param {string} request * @returns {Promise} A Promise that resolves to `true` if the cache entry was deleted, `false` otherwise. */ async delete(request) { let filePath = import_node_path2.default.join(this.path, request); try { await import_node_fs3.default.promises.unlink(filePath); return true; } catch (error) { return false; } } // TODO add the rest? // addAll(requests: RequestInfo[]): Promise; // keys(request?: RequestInfo | URL, options?: CacheQueryOptions): Promise>; // match(request: RequestInfo | URL, options?: CacheQueryOptions): Promise; // matchAll(request?: RequestInfo | URL, options?: CacheQueryOptions): Promise>; }; var ERROR_MAPPING = { // 4xx errors (https://developer.mozilla.org/en-US/docs/Web/HTTP/Status#client_error_responses) 400: "Bad request error occurred while trying to load file", 401: "Unauthorized access to file", 403: "Forbidden access to file", 404: "Could not locate file", 408: "Request timeout error occurred while trying to load file", // 5xx errors (https://developer.mozilla.org/en-US/docs/Web/HTTP/Status#server_error_responses) 500: "Internal server error error occurred while trying to load file", 502: "Bad gateway error occurred while trying to load file", 503: "Service unavailable error occurred while trying to load file", 504: "Gateway timeout error occurred while trying to load file" }; var MAX_EXTERNAL_DATA_CHUNKS = 100; var REPO_ID_REGEX = /^(\b[\w\-.]+\b\/)?\b[\w\-.]{1,96}\b$/; var import_meta2 = {}; function pathJoin(...parts) { parts = parts.map((part, index) => { if (index) { part = part.replace(new RegExp("^/"), ""); } if (index !== parts.length - 1) { part = part.replace(new RegExp("/$"), ""); } return part; }); return parts.join("/"); } function isValidUrl(string, protocols = null, validHosts = null) { let url2; try { url2 = new URL(string); } catch (_) { return false; } if (protocols && !protocols.includes(url2.protocol)) { return false; } if (validHosts && !validHosts.includes(url2.hostname)) { return false; } return true; } function isValidHfModelId(string) { if (!REPO_ID_REGEX.test(string)) return false; if (string.includes("..") || string.includes("--")) return false; if (string.endsWith(".git") || string.endsWith(".ipynb")) return false; return true; } function handleError(status, remoteURL, fatal) { if (!fatal) { return null; } const message2 = ERROR_MAPPING[status] ?? `Error (${status}) occurred while trying to load file`; throw Error(`${message2}: "${remoteURL}".`); } async function readResponse(response, progress_callback, expectedSize) { const contentLength = response.headers.get("Content-Length"); let total = contentLength ? parseInt(contentLength, 10) : expectedSize ?? 0; if (contentLength === null && !expectedSize) { logger.warn("Unable to determine content-length from response headers. Will expand buffer when needed."); } let buffer = new Uint8Array(total); let loaded = 0; const reader = response.body.getReader(); async function read() { const { done, value } = await reader.read(); if (done) return; const newLoaded = loaded + value.length; if (newLoaded > total) { total = newLoaded; const newBuffer = new Uint8Array(total); newBuffer.set(buffer); buffer = newBuffer; } buffer.set(value, loaded); loaded = newLoaded; const progress = loaded / total * 100; progress_callback({ progress, loaded, total }); return read(); } await read(); return buffer; } function isBlobURL(url2) { return isValidUrl(url2, ["blob:"]); } function toAbsoluteURL(url2) { let baseURL; if (typeof location !== "undefined" && location.href) { baseURL = location.href; } else if (typeof import_meta2 !== "undefined" && import_meta2.url) { baseURL = import_meta2.url; } else { return url2; } return new URL(url2, baseURL).href; } var HASH_ALGORITHM = "SHA-256"; var HASH_CACHE_NAME = "experimental_transformers-hash-cache"; var makeHashDescriptor = (value) => ({ algorithm: HASH_ALGORITHM, value }); var CrossOriginStorage = (_a2 = class { constructor() { /** @type {Promise | null} */ __privateAdd(this, _hashCache, null); /** * Returns (and lazily opens) the hash cache, reusing the same promise across concurrent callers. * @returns {Promise} */ __publicField2(this, "_getHashCache", () => { __privateGet(this, _hashCache) ?? __privateSet(this, _hashCache, caches.open(HASH_CACHE_NAME)); return __privateGet(this, _hashCache); }); /** * Looks up a cached response for the given URL by resolving its SHA-256 hash and requesting * the corresponding file handle from cross-origin storage. * * Implements `CacheInterface.match`. * * @param {string} request The URL of the resource to look up. * @returns {Promise} The cached `Response`, or `undefined` if not found. */ __publicField2(this, "match", async (request) => { const hashValue = await this._getFileHash(request); if (!hashValue) { return void 0; } try { const [handle] = await navigator.crossOriginStorage.requestFileHandles([makeHashDescriptor(hashValue)]); const blob = await handle.getFile(); return new Response(blob, { headers: { "Content-Length": String(blob.size) } }); } catch { return void 0; } }); /** * Stores a response in cross-origin storage, keyed by its SHA-256 hash. * * For LFS-backed URLs the hash is resolved cheaply via `_getFileHash` (which checks * `HASH_CACHE_NAME` first, then falls back to fetching the Git LFS pointer file) * without reading the response body a second time. * * For non-LFS resources the hash is unknown upfront. In that case the body is consumed * in the background: the stream is read to compute the content hash, the file is written * into cross-origin storage, and the computed hash is persisted to `HASH_CACHE_NAME` * so that future `match` calls can resolve the file without a network round-trip. * * Implements `CacheInterface.put`. * * @param {string} request The URL of the resource (used as the hash-cache key). * @param {Response} response The response whose body will be written to the cache. * @returns {Promise} */ __publicField2(this, "put", async (request, response) => { const hashValue = await this._getFileHash(request); if (hashValue) { const blob = await response.blob(); await this._storeBlobInCOS(blob, hashValue); } else { this._processAndStore(request, response.body); } }); /** * Writes a blob into cross-origin storage using the given pre-computed hex hash string. * * @param {Blob} blob * @param {string} hashHex Hex-encoded SHA-256 hash of `blob`. * @returns {Promise} */ __publicField2(this, "_storeBlobInCOS", async (blob, hashHex) => { const [handle] = await navigator.crossOriginStorage.requestFileHandles([makeHashDescriptor(hashHex)], { create: true }); const writableStream = await handle.createWritable(); await writableStream.write(blob); await writableStream.close(); }); /** * Background task for non-LFS resources: consumes `stream`, computes the SHA-256 hash * of the resulting blob, stores it in cross-origin storage, and persists the computed * hash to `HASH_CACHE_NAME` keyed by `request` so future `match` calls can resolve the * file without a network round-trip. * * Called fire-and-forget from `put` — errors are swallowed so failures never surface to * the caller. * * @param {string} request The original resource URL. * @param {ReadableStream} stream The response body stream to consume. * @returns {Promise} */ __publicField2(this, "_processAndStore", async (request, stream) => { try { const chunks = []; for await (const chunk2 of stream) { chunks.push(chunk2); } const blob = new Blob(chunks); const hashHex = await this._getBlobHash(blob); await this._storeBlobInCOS(blob, hashHex); try { const hashCache = await this._getHashCache(); await hashCache.put(request, new Response(hashHex)); } catch { } } catch { } }); /** * Deletes the cache entry for the given request. * * Removes the hash entry from `HASH_CACHE_NAME`. Note: cross-origin storage itself does not * expose a delete API, so only the local hash mapping is removed. For non-LFS URLs this * permanently prevents `match` from resolving the file. For LFS-backed URLs, `match` will * re-fetch the LFS pointer file on the next call and repopulate the hash cache automatically. * * Implements `CacheInterface.delete`. * * @param {string} request * @returns {Promise} Resolves to `true` if the hash entry was deleted, `false` otherwise. */ __publicField2(this, "delete", async (request) => { try { const hashCache = await this._getHashCache(); return await hashCache.delete(request); } catch { return false; } }); /** * Resolves the SHA-256 hash for a given URL. * * Returns the cached hash immediately if one has been persisted to `HASH_CACHE_NAME`. * Otherwise falls back to `_getLfsFileHash` to retrieve the hash from the Hugging Face * LFS pointer file, persisting the result to `HASH_CACHE_NAME` for future lookups. * * Returns `null` if the hash cannot be determined (e.g. non-LFS URL with no cached entry). * * @param {string} url The resource URL to resolve a hash for. * @returns {Promise} The hex-encoded SHA-256 hash, or `null` if unavailable. */ __publicField2(this, "_getFileHash", async (url2) => { try { const hashCache = await this._getHashCache(); const cached = await hashCache.match(url2); if (cached) { return cached.text(); } const hash = await this._getLfsFileHash(url2); if (hash) { await hashCache.put(url2, new Response(hash)); return hash; } return null; } catch { return null; } }); /** * Attempts to retrieve the SHA-256 hash for a Hugging Face resource URL from its raw * Git LFS pointer file. * * Only applicable to URLs containing `/resolve/` (i.e. Hugging Face resolved file URLs). * The `/resolve/` segment is rewritten to `/raw/` to fetch the LFS pointer directly. * Returns `null` for non-LFS URLs or when the network request fails. * * @see https://huggingface.co/docs/hub/en/storage-backends#xet * @param {string} url The resolved Hugging Face URL of the resource. * @returns {Promise} The hex-encoded SHA-256 hash, or `null` if unavailable. */ __publicField2(this, "_getLfsFileHash", async (url2) => { if (!url2.includes("/resolve/")) { return null; } const rawUrl = url2.replace("/resolve/", "/raw/"); try { const text = await fetch(rawUrl).then((r) => r.text()); const match = text.match(/^oid sha256:([0-9a-f]+)$/m); return match ? match[1] : null; } catch { return null; } }); /** * Computes the SHA-256 hash of a `Blob`'s contents. * * @param {Blob} blob The blob to hash. * @returns {Promise} The lowercase hex-encoded SHA-256 hash. */ __publicField2(this, "_getBlobHash", async (blob) => { const arrayBuffer = await blob.arrayBuffer(); const hashBuffer = await crypto.subtle.digest(HASH_ALGORITHM, arrayBuffer); const hashArray = Array.from(new Uint8Array(hashBuffer)); return hashArray.map((byte) => byte.toString(16).padStart(2, "0")).join(""); }); } }, _hashCache = new WeakMap(), /** * Returns whether the `navigator.crossOriginStorage` API is available in the current environment. * @returns {boolean} */ __publicField2(_a2, "isAvailable", () => typeof navigator !== "undefined" && "crossOriginStorage" in navigator), _a2); async function getCache(file_cache_dir = null) { let cache2 = null; if (env.useCustomCache) { if (!env.customCache) { throw Error("`env.useCustomCache=true`, but `env.customCache` is not defined."); } if (!env.customCache.match || !env.customCache.put) { throw new Error( "`env.customCache` must be an object which 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" ); } cache2 = env.customCache; } if (!cache2 && env.experimental_useCrossOriginStorage && CrossOriginStorage.isAvailable()) { cache2 = new CrossOriginStorage(); } if (!cache2 && env.useBrowserCache) { if (typeof caches === "undefined") { throw Error("Browser cache is not available in this environment."); } try { cache2 = await caches.open(env.cacheKey); } catch (e) { logger.warn("An error occurred while opening the browser cache:", e); } } if (!cache2 && env.useFSCache) { if (!apis.IS_FS_AVAILABLE) { throw Error("File System Cache is not available in this environment."); } cache2 = new FileCache(file_cache_dir ?? env.cacheDir); } return cache2; } async function tryCache(cache2, ...names) { for (let name of names) { try { let result = await cache2.match(name); if (result) return result; } catch (e) { continue; } } return void 0; } var LRUCache2 = class { /** @type {number} */ #capacity; /** @type {Map} */ #cache; /** * Creates an LRUCache instance. * @param {number} capacity The maximum number of items the cache can hold. */ constructor(capacity) { this.#capacity = capacity; this.#cache = /* @__PURE__ */ new Map(); } /** * Retrieves the value associated with the given key and marks the key as recently used. * @param {any} key The key to retrieve. * @returns {any} The value associated with the key, or undefined if the key does not exist. */ get(key) { if (!this.#cache.has(key)) return void 0; const value = this.#cache.get(key); this.#cache.delete(key); this.#cache.set(key, value); return value; } /** * Inserts or updates the key-value pair in the cache. * If the key already exists, it is updated and marked as recently used. * If the cache exceeds its capacity, the least recently used item is evicted. * @param {any} key The key to add or update. * @param {any} value The value to associate with the key. */ put(key, value) { if (this.#cache.has(key)) { this.#cache.delete(key); } this.#cache.set(key, value); if (this.#cache.size > this.#capacity) { this.#cache.delete(this.#cache.keys().next().value); } } /** * Removes the entry for the given key from the cache. * @param {any} key The key to delete. * @returns {boolean} `true` if the entry existed and was removed, `false` otherwise. */ delete(key) { return this.#cache.delete(key); } /** * Clears the cache. */ clear() { this.#cache.clear(); } }; var MAX_CACHE_SIZE = 100; var cache = new LRUCache2(MAX_CACHE_SIZE); function memoizePromise(key, factory) { const cached = cache.get(key); if (cached !== void 0) { return cached; } const promise = factory().then( (value) => value, (err) => { cache.delete(key); return Promise.reject(err); } ); cache.put(key, promise); return promise; } async function fetch_file_head(urlOrPath) { if (!isValidUrl(urlOrPath, ["http:", "https:"])) { return null; } const headers = getFetchHeaders(urlOrPath); headers.set("Range", "bytes=0-0"); return env.fetch(urlOrPath, { method: "GET", headers, cache: "no-store" }); } function get_file_metadata(path_or_repo_id, filename, options = {}) { const key = JSON.stringify([ path_or_repo_id, filename, options?.revision, options?.cache_dir, options?.local_files_only ]); return memoizePromise(key, () => _get_file_metadata(path_or_repo_id, filename, options)); } async function _get_file_metadata(path_or_repo_id, filename, options) { const cache2 = await getCache(options?.cache_dir); const { localPath, remoteURL, proposedCacheKey, validModelId } = buildResourcePaths( path_or_repo_id, filename, options, cache2 ); const cachedResponse = await checkCachedResource(cache2, localPath, proposedCacheKey); if (cachedResponse !== void 0 && typeof cachedResponse !== "string") { const size = cachedResponse.headers.get("content-length"); const contentType = cachedResponse.headers.get("content-type"); return { exists: true, size: size ? parseInt(size, 10) : void 0, contentType: contentType || void 0, fromCache: true }; } if (env.allowLocalModels) { const isURL = isValidUrl(localPath, ["http:", "https:"]); if (!isURL) { try { const response = await getFile(localPath); if (typeof response !== "string" && response.status !== 404) { const size = response.headers.get("content-length"); const contentType = response.headers.get("content-type"); return { exists: true, size: size ? parseInt(size, 10) : void 0, contentType: contentType || void 0, fromCache: false }; } } catch (e) { } } } if (env.allowRemoteModels && !options.local_files_only && validModelId) { try { const rangeResponse = await fetch_file_head(remoteURL); if (rangeResponse && rangeResponse.status >= 200 && rangeResponse.status < 300) { let size; const contentType = rangeResponse.headers.get("content-type"); if (rangeResponse.status === 206) { const contentRange = rangeResponse.headers.get("content-range"); if (contentRange) { const match = contentRange.match(/bytes \d+-\d+\/(\d+)/); if (match) { size = parseInt(match[1], 10); } } } else if (rangeResponse.status === 200) { try { await rangeResponse.body?.cancel(); } catch (cancelError) { } } if (size === void 0) { const contentLength = rangeResponse.headers.get("content-length"); size = contentLength ? parseInt(contentLength, 10) : void 0; } return { exists: true, size, contentType: contentType || void 0, fromCache: false }; } } catch (e) { logger.warn(`Unable to fetch file metadata for "${remoteURL}": ${e}`); } } return { exists: false, fromCache: false }; } async function getFile(urlOrPath) { if (env.useFS && !isValidUrl(urlOrPath, ["http:", "https:", "blob:"])) { return new FileResponse( urlOrPath instanceof URL ? urlOrPath.protocol === "file:" ? urlOrPath.pathname : urlOrPath.toString() : urlOrPath ); } else { return env.fetch(urlOrPath, { headers: getFetchHeaders(urlOrPath) }); } } function getFetchHeaders(urlOrPath) { const isNode = typeof process !== "undefined" && process?.release?.name === "node"; const headers = new Headers(); if (isNode) { const IS_CI = !!process.env?.TESTING_REMOTELY; const version = env.version; headers.set("User-Agent", `transformers.js/${version}; is_ci/${IS_CI};`); const isHFURL = isValidUrl(urlOrPath, ["http:", "https:"], ["huggingface.co", "hf.co"]); if (isHFURL) { const token = process.env?.HF_TOKEN ?? process.env?.HF_ACCESS_TOKEN; if (token) { headers.set("Authorization", `Bearer ${token}`); } } } else { } return headers; } function buildResourcePaths(path_or_repo_id, filename, options = {}, cache2 = null) { const revision = options.revision ?? "main"; const requestURL = pathJoin(path_or_repo_id, filename); const validModelId = isValidHfModelId(path_or_repo_id); const localPath = validModelId ? pathJoin(env.localModelPath, requestURL) : requestURL; const remoteURL = pathJoin( env.remoteHost, env.remotePathTemplate.replaceAll("{model}", path_or_repo_id).replaceAll("{revision}", encodeURIComponent(revision)), filename ); const proposedCacheKey = cache2 instanceof FileCache ? ( // Choose cache key for filesystem cache // When using the main revision (default), we use the request URL as the cache key. // If a specific revision is requested, we account for this in the cache key. revision === "main" ? requestURL : pathJoin(path_or_repo_id, revision, filename) ) : remoteURL; return { requestURL, localPath, remoteURL, proposedCacheKey, validModelId }; } async function checkCachedResource(cache2, localPath, proposedCacheKey) { if (!cache2) { return void 0; } return await tryCache(cache2, localPath, proposedCacheKey); } async function storeCachedResource(path_or_repo_id, filename, cache2, cacheKey, response, result, options = {}) { if (await cache2.match(cacheKey) !== void 0) { return; } if (!result) { const wrapped_progress = options.progress_callback ? (data) => dispatchCallback(options.progress_callback, { status: "progress", name: path_or_repo_id, file: filename, ...data }) : void 0; await cache2.put( cacheKey, /** @type {Response} */ response, wrapped_progress ); } else if (typeof response !== "string") { const headers = new Headers(response.headers); headers.set("content-length", result.byteLength.toString()); await cache2.put( cacheKey, new Response( /** @type {any} */ result, { headers } ) ).catch((err) => { logger.warn(`Unable to add response to browser cache: ${err}.`); }); } } async function loadResourceFile(path_or_repo_id, filename, fatal = true, options = {}, return_path = false, cache2 = null) { const { requestURL, localPath, remoteURL, proposedCacheKey, validModelId } = buildResourcePaths( path_or_repo_id, filename, options, cache2 ); let cacheKey; let toCacheResponse = false; let response; response = await checkCachedResource(cache2, localPath, proposedCacheKey); const cacheHit = response !== void 0; if (cacheHit) { cacheKey = proposedCacheKey; } else { if (env.allowLocalModels) { const isURL = isValidUrl(requestURL, ["http:", "https:"]); if (!isURL) { try { response = await getFile(localPath); cacheKey = localPath; } catch (e) { logger.warn(`Unable to load from local path "${localPath}": "${e}"`); } } else if (options.local_files_only) { throw new Error(`\`local_files_only=true\`, but attempted to load a remote file from: ${requestURL}.`); } else if (!env.allowRemoteModels) { throw new Error( `\`env.allowRemoteModels=false\`, but attempted to load a remote file from: ${requestURL}.` ); } } if (response === void 0 || typeof response !== "string" && response.status === 404) { if (options.local_files_only || !env.allowRemoteModels) { if (fatal) { throw Error( `\`local_files_only=true\` or \`env.allowRemoteModels=false\` and file was not found locally at "${localPath}".` ); } else { return null; } } if (!validModelId) { throw Error( `Local file missing at "${localPath}" and download aborted due to invalid model ID "${path_or_repo_id}".` ); } response = await getFile(remoteURL); if (response.status !== 200) { return handleError(response.status, remoteURL, fatal); } cacheKey = proposedCacheKey; } toCacheResponse = cache2 && // 1. A caching system is available typeof Response !== "undefined" && // 2. `Response` is defined (i.e., we are in a browser-like environment) response instanceof Response && // 3. result is a `Response` object (i.e., not a `FileResponse`) response.status === 200; } dispatchCallback(options.progress_callback, { status: "download", name: path_or_repo_id, file: filename }); let result; if (apis.IS_NODE_ENV && return_path) { } else { let buffer; if (typeof response !== "string") { if (!options.progress_callback) { buffer = new Uint8Array(await response.arrayBuffer()); } else if (cacheHit && // The item is being read from the cache typeof navigator !== "undefined" && /firefox/i.test(navigator.userAgent)) { buffer = new Uint8Array(await response.arrayBuffer()); dispatchCallback(options.progress_callback, { status: "progress", name: path_or_repo_id, file: filename, progress: 100, loaded: buffer.length, total: buffer.length }); } else { let expectedSize; const contentLength = response.headers.get("content-length"); if (contentLength) { expectedSize = parseInt(contentLength, 10); } else { try { const metadata = await get_file_metadata(path_or_repo_id, filename, options); if (metadata.size) { expectedSize = metadata.size; } } catch (e) { } } buffer = await readResponse( response, (data) => { dispatchCallback(options.progress_callback, { status: "progress", name: path_or_repo_id, file: filename, ...data }); }, expectedSize ); } } result = buffer; } if ( // Only cache web responses // i.e., do not cache FileResponses (prevents duplication) toCacheResponse && cacheKey && typeof response !== "string" ) { await storeCachedResource(path_or_repo_id, filename, cache2, cacheKey, response, result, options); } if (apis.IS_NODE_ENV && return_path && options.progress_callback && typeof response !== "string") { const size = parseInt(response.headers.get("content-length"), 10) || 0; dispatchCallback(options.progress_callback, { status: "progress", name: path_or_repo_id, file: filename, progress: 100, loaded: size, total: size }); } dispatchCallback(options.progress_callback, { status: "done", name: path_or_repo_id, file: filename }); if (result) { if (!apis.IS_NODE_ENV && return_path) { throw new Error("Cannot return path in a browser environment."); } return result; } if (response instanceof FileResponse) { return response.filePath; } const cachedResponse = await cache2?.match(cacheKey); if (cachedResponse instanceof FileResponse) { return cachedResponse.filePath; } else if (cachedResponse instanceof Response) { return new Uint8Array(await cachedResponse.arrayBuffer()); } else if (typeof cachedResponse === "string") { return cachedResponse; } throw new Error("Unable to get model file path or buffer."); } var INFLIGHT_LOADS = /* @__PURE__ */ new Map(); async function getModelFile(path_or_repo_id, filename, fatal = true, options = {}, return_path = false) { if (!env.allowLocalModels) { if (options.local_files_only) { 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`)." ); } else if (!env.allowRemoteModels) { throw Error( "Invalid configuration detected: both local and remote models are disabled. Fix by setting `env.allowLocalModels` or `env.allowRemoteModels` to `true`." ); } } dispatchCallback(options.progress_callback, { status: "initiate", name: path_or_repo_id, file: filename }); const key = `${path_or_repo_id}::${filename}`; let pending = INFLIGHT_LOADS.get(key); if (!pending) { const cache2 = await getCache(options?.cache_dir); pending = loadResourceFile(path_or_repo_id, filename, fatal, options, return_path, cache2).then( (result) => { INFLIGHT_LOADS.delete(key); return result; }, (err) => { INFLIGHT_LOADS.delete(key); throw err; } ); INFLIGHT_LOADS.set(key, pending); } return await pending; } async function getModelText(modelPath, fileName, fatal = true, options = {}) { const buffer = await getModelFile(modelPath, fileName, fatal, options, false); if (buffer === null) { return null; } const decoder = new TextDecoder("utf-8"); return decoder.decode( /** @type {Uint8Array} */ buffer ); } async function getModelJSON(modelPath, fileName, fatal = true, options = {}) { const text = await getModelText(modelPath, fileName, fatal, options); if (text === null) { return {}; } return JSON.parse(text); } function interpolate_data(input, [in_channels, in_height, in_width], [out_height, out_width], mode = "bilinear", align_corners = false) { const x_scale = out_width / in_width; const y_scale = out_height / in_height; const out_img = new input.constructor(out_height * out_width * in_channels); const inStride = in_height * in_width; const outStride = out_height * out_width; for (let i = 0; i < out_height; ++i) { for (let j = 0; j < out_width; ++j) { const outOffset = i * out_width + j; const x = (j + 0.5) / x_scale - 0.5; const y = (i + 0.5) / y_scale - 0.5; let x1 = Math.floor(x); let y1 = Math.floor(y); const x2 = Math.min(x1 + 1, in_width - 1); const y2 = Math.min(y1 + 1, in_height - 1); x1 = Math.max(x1, 0); y1 = Math.max(y1, 0); const s = x - x1; const t = y - y1; const w1 = (1 - s) * (1 - t); const w2 = s * (1 - t); const w3 = (1 - s) * t; const w4 = s * t; const yStride = y1 * in_width; const xStride = y2 * in_width; const idx1 = yStride + x1; const idx2 = yStride + x2; const idx3 = xStride + x1; const idx4 = xStride + x2; for (let k2 = 0; k2 < in_channels; ++k2) { const cOffset = k2 * inStride; out_img[k2 * outStride + outOffset] = w1 * input[cOffset + idx1] + w2 * input[cOffset + idx2] + w3 * input[cOffset + idx3] + w4 * input[cOffset + idx4]; } } } return out_img; } function permute_data(array, dims, axes) { const shape = new Array(axes.length); const stride = new Array(axes.length); for (let i = axes.length - 1, s = 1; i >= 0; --i) { stride[i] = s; shape[i] = dims[axes[i]]; s *= shape[i]; } const invStride = axes.map((_, i) => stride[axes.indexOf(i)]); const permutedData = new array.constructor(array.length); for (let i = 0; i < array.length; ++i) { let newIndex = 0; for (let j = dims.length - 1, k2 = i; j >= 0; --j) { newIndex += k2 % dims[j] * invStride[j]; k2 = Math.floor(k2 / dims[j]); } permutedData[newIndex] = array[i]; } return [permutedData, shape]; } function softmax(arr) { const maxVal = max(arr)[0]; const exps = arr.map((x) => Math.exp(x - maxVal)); const sumExps = exps.reduce((acc, val) => acc + val, 0); const softmaxArr = exps.map((x) => x / sumExps); return ( /** @type {T} */ softmaxArr ); } function log_softmax(arr) { const maxVal = max(arr)[0]; let sumExps = 0; for (let i = 0; i < arr.length; ++i) { sumExps += Math.exp(arr[i] - maxVal); } const logSum = Math.log(sumExps); const logSoftmaxArr = arr.map((x) => x - maxVal - logSum); return ( /** @type {T} */ logSoftmaxArr ); } function dot(arr1, arr2) { let result = 0; for (let i = 0; i < arr1.length; ++i) { result += arr1[i] * arr2[i]; } return result; } function cos_sim(arr1, arr2) { const dotProduct2 = dot(arr1, arr2); const magnitudeA = magnitude(arr1); const magnitudeB = magnitude(arr2); const cosineSimilarity = dotProduct2 / (magnitudeA * magnitudeB); return cosineSimilarity; } function magnitude(arr) { return Math.sqrt(arr.reduce((acc, val) => acc + val * val, 0)); } function min2(arr) { if (arr.length === 0) throw Error("Array must not be empty"); let min3 = arr[0]; let indexOfMin = 0; for (let i = 1; i < arr.length; ++i) { if (arr[i] < min3) { min3 = arr[i]; indexOfMin = i; } } return ( /** @type {T extends bigint[]|BigTypedArray ? [bigint, number] : [number, number]} */ [min3, indexOfMin] ); } function max(arr) { if (arr.length === 0) throw Error("Array must not be empty"); let max2 = arr[0]; let indexOfMax = 0; for (let i = 1; i < arr.length; ++i) { if (arr[i] > max2) { max2 = arr[i]; indexOfMax = i; } } return ( /** @type {T extends bigint[]|BigTypedArray ? [bigint, number] : [number, number]} */ [max2, indexOfMax] ); } function isPowerOfTwo(number) { return number > 0 && (number & number - 1) === 0; } var P2FFT = class { /** * @param {number} size The size of the input array. Must be a power of two larger than 1. * @throws {Error} FFT size must be a power of two larger than 1. */ constructor(size) { this.size = size | 0; if (this.size <= 1 || !isPowerOfTwo(this.size)) throw new Error("FFT size must be a power of two larger than 1"); this._csize = size << 1; this.table = new Float64Array(this.size * 2); for (let i = 0; i < this.table.length; i += 2) { const angle = Math.PI * i / this.size; this.table[i] = Math.cos(angle); this.table[i + 1] = -Math.sin(angle); } let power = 0; for (let t = 1; this.size > t; t <<= 1) ++power; this._width = power % 2 === 0 ? power - 1 : power; this._bitrev = new Int32Array(1 << this._width); for (let j = 0; j < this._bitrev.length; ++j) { this._bitrev[j] = 0; for (let shift = 0; shift < this._width; shift += 2) { const revShift = this._width - shift - 2; this._bitrev[j] |= (j >>> shift & 3) << revShift; } } } /** * Create a complex number array with size `2 * size` * * @returns {Float64Array} A complex number array with size `2 * size` */ createComplexArray() { return new Float64Array(this._csize); } /** * Converts a complex number representation stored in a Float64Array to an array of real numbers. * * @param {Float64Array} complex The complex number representation to be converted. * @param {number[]} [storage] An optional array to store the result in. * @returns {number[]} An array of real numbers representing the input complex number representation. */ fromComplexArray(complex, storage) { const res = storage || new Array(complex.length >>> 1); for (let i = 0; i < complex.length; i += 2) res[i >>> 1] = complex[i]; return res; } /** * Convert a real-valued input array to a complex-valued output array. * @param {Float64Array} input The real-valued input array. * @param {Float64Array} [storage] Optional buffer to store the output array. * @returns {Float64Array} The complex-valued output array. */ toComplexArray(input, storage) { const res = storage || this.createComplexArray(); for (let i = 0; i < res.length; i += 2) { res[i] = input[i >>> 1]; res[i + 1] = 0; } return res; } /** * Performs a Fast Fourier Transform (FFT) on the given input data and stores the result in the output buffer. * * @param {Float64Array} out The output buffer to store the result. * @param {Float64Array} data The input data to transform. * * @throws {Error} Input and output buffers must be different. * * @returns {void} */ transform(out, data) { if (out === data) throw new Error("Input and output buffers must be different"); this._transform4( out, data, 1 /* DONE */ ); } /** * Performs a real-valued forward FFT on the given input buffer and stores the result in the given output buffer. * The input buffer must contain real values only, while the output buffer will contain complex values. The input and * output buffers must be different. * * @param {Float64Array} out The output buffer. * @param {Float64Array} data The input buffer containing real values. * * @throws {Error} If the input and output buffers are the same. */ realTransform(out, data) { if (out === data) throw new Error("Input and output buffers must be different"); this._realTransform4( out, data, 1 /* DONE */ ); } /** * Performs an inverse FFT transformation on the given `data` array, and stores the result in `out`. * The `out` array must be a different buffer than the `data` array. The `out` array will contain the * result of the transformation. The `data` array will not be modified. * * @param {Float64Array} out The output buffer for the transformed data. * @param {Float64Array} data The input data to transform. * @throws {Error} If `out` and `data` refer to the same buffer. * @returns {void} */ inverseTransform(out, data) { if (out === data) throw new Error("Input and output buffers must be different"); this._transform4( out, data, -1 /* DONE */ ); for (let i = 0; i < out.length; ++i) out[i] /= this.size; } /** * Performs a radix-4 implementation of a discrete Fourier transform on a given set of data. * * @param {Float64Array} out The output buffer for the transformed data. * @param {Float64Array} data The input buffer of data to be transformed. * @param {number} inv A scaling factor to apply to the transform. * @returns {void} */ _transform4(out, data, inv) { const size = this._csize; const width = this._width; let step = 1 << width; let len2 = size / step << 1; let outOff; let t; const bitrev = this._bitrev; if (len2 === 4) { for (outOff = 0, t = 0; outOff < size; outOff += len2, ++t) { const off = bitrev[t]; this._singleTransform2(data, out, outOff, off, step); } } else { for (outOff = 0, t = 0; outOff < size; outOff += len2, ++t) { const off = bitrev[t]; this._singleTransform4(data, out, outOff, off, step, inv); } } const table = this.table; for (step >>= 2; step >= 2; step >>= 2) { len2 = size / step << 1; const quarterLen = len2 >>> 2; for (outOff = 0; outOff < size; outOff += len2) { const limit = outOff + quarterLen - 1; for (let i = outOff, k2 = 0; i < limit; i += 2, k2 += step) { const A = i; const B = A + quarterLen; const C = B + quarterLen; const D = C + quarterLen; const Ar = out[A]; const Ai = out[A + 1]; const Br = out[B]; const Bi = out[B + 1]; const Cr = out[C]; const Ci = out[C + 1]; const Dr = out[D]; const Di = out[D + 1]; const tableBr = table[k2]; const tableBi = inv * table[k2 + 1]; const MBr = Br * tableBr - Bi * tableBi; const MBi = Br * tableBi + Bi * tableBr; const tableCr = table[2 * k2]; const tableCi = inv * table[2 * k2 + 1]; const MCr = Cr * tableCr - Ci * tableCi; const MCi = Cr * tableCi + Ci * tableCr; const tableDr = table[3 * k2]; const tableDi = inv * table[3 * k2 + 1]; const MDr = Dr * tableDr - Di * tableDi; const MDi = Dr * tableDi + Di * tableDr; const T0r = Ar + MCr; const T0i = Ai + MCi; const T1r = Ar - MCr; const T1i = Ai - MCi; const T2r = MBr + MDr; const T2i = MBi + MDi; const T3r = inv * (MBr - MDr); const T3i = inv * (MBi - MDi); out[A] = T0r + T2r; out[A + 1] = T0i + T2i; out[B] = T1r + T3i; out[B + 1] = T1i - T3r; out[C] = T0r - T2r; out[C + 1] = T0i - T2i; out[D] = T1r - T3i; out[D + 1] = T1i + T3r; } } } } /** * Performs a radix-2 implementation of a discrete Fourier transform on a given set of data. * * @param {Float64Array} data The input buffer of data to be transformed. * @param {Float64Array} out The output buffer for the transformed data. * @param {number} outOff The offset at which to write the output data. * @param {number} off The offset at which to begin reading the input data. * @param {number} step The step size for indexing the input data. * @returns {void} */ _singleTransform2(data, out, outOff, off, step) { const evenR = data[off]; const evenI = data[off + 1]; const oddR = data[off + step]; const oddI = data[off + step + 1]; out[outOff] = evenR + oddR; out[outOff + 1] = evenI + oddI; out[outOff + 2] = evenR - oddR; out[outOff + 3] = evenI - oddI; } /** * Performs radix-4 transformation on input data of length 8 * * @param {Float64Array} data Input data array of length 8 * @param {Float64Array} out Output data array of length 8 * @param {number} outOff Index of output array to start writing from * @param {number} off Index of input array to start reading from * @param {number} step Step size between elements in input array * @param {number} inv Scaling factor for inverse transform * * @returns {void} */ _singleTransform4(data, out, outOff, off, step, inv) { const step2 = step * 2; const step3 = step * 3; const Ar = data[off]; const Ai = data[off + 1]; const Br = data[off + step]; const Bi = data[off + step + 1]; const Cr = data[off + step2]; const Ci = data[off + step2 + 1]; const Dr = data[off + step3]; const Di = data[off + step3 + 1]; const T0r = Ar + Cr; const T0i = Ai + Ci; const T1r = Ar - Cr; const T1i = Ai - Ci; const T2r = Br + Dr; const T2i = Bi + Di; const T3r = inv * (Br - Dr); const T3i = inv * (Bi - Di); out[outOff] = T0r + T2r; out[outOff + 1] = T0i + T2i; out[outOff + 2] = T1r + T3i; out[outOff + 3] = T1i - T3r; out[outOff + 4] = T0r - T2r; out[outOff + 5] = T0i - T2i; out[outOff + 6] = T1r - T3i; out[outOff + 7] = T1i + T3r; } /** * Real input radix-4 implementation * @param {Float64Array} out Output array for the transformed data * @param {Float64Array} data Input array of real data to be transformed * @param {number} inv The scale factor used to normalize the inverse transform */ _realTransform4(out, data, inv) { const size = this._csize; const width = this._width; let step = 1 << width; let len2 = size / step << 1; let outOff; let t; const bitrev = this._bitrev; if (len2 === 4) { for (outOff = 0, t = 0; outOff < size; outOff += len2, ++t) { const off = bitrev[t]; this._singleRealTransform2(data, out, outOff, off >>> 1, step >>> 1); } } else { for (outOff = 0, t = 0; outOff < size; outOff += len2, ++t) { const off = bitrev[t]; this._singleRealTransform4(data, out, outOff, off >>> 1, step >>> 1, inv); } } const table = this.table; for (step >>= 2; step >= 2; step >>= 2) { len2 = size / step << 1; const halfLen = len2 >>> 1; const quarterLen = halfLen >>> 1; const hquarterLen = quarterLen >>> 1; for (outOff = 0; outOff < size; outOff += len2) { for (let i = 0, k2 = 0; i <= hquarterLen; i += 2, k2 += step) { const A = outOff + i; const B = A + quarterLen; const C = B + quarterLen; const D = C + quarterLen; const Ar = out[A]; const Ai = out[A + 1]; const Br = out[B]; const Bi = out[B + 1]; const Cr = out[C]; const Ci = out[C + 1]; const Dr = out[D]; const Di = out[D + 1]; const MAr = Ar; const MAi = Ai; const tableBr = table[k2]; const tableBi = inv * table[k2 + 1]; const MBr = Br * tableBr - Bi * tableBi; const MBi = Br * tableBi + Bi * tableBr; const tableCr = table[2 * k2]; const tableCi = inv * table[2 * k2 + 1]; const MCr = Cr * tableCr - Ci * tableCi; const MCi = Cr * tableCi + Ci * tableCr; const tableDr = table[3 * k2]; const tableDi = inv * table[3 * k2 + 1]; const MDr = Dr * tableDr - Di * tableDi; const MDi = Dr * tableDi + Di * tableDr; const T0r = MAr + MCr; const T0i = MAi + MCi; const T1r = MAr - MCr; const T1i = MAi - MCi; const T2r = MBr + MDr; const T2i = MBi + MDi; const T3r = inv * (MBr - MDr); const T3i = inv * (MBi - MDi); out[A] = T0r + T2r; out[A + 1] = T0i + T2i; out[B] = T1r + T3i; out[B + 1] = T1i - T3r; if (i === 0) { out[C] = T0r - T2r; out[C + 1] = T0i - T2i; continue; } if (i === hquarterLen) continue; const SA = outOff + quarterLen - i; const SB = outOff + halfLen - i; out[SA] = T1r - inv * T3i; out[SA + 1] = -T1i - inv * T3r; out[SB] = T0r - inv * T2r; out[SB + 1] = -T0i + inv * T2i; } } } const half = size >>> 1; for (let i = 2; i < half; i += 2) { out[size - i] = out[i]; out[size - i + 1] = -out[i + 1]; } } /** * Performs a single real input radix-2 transformation on the provided data * * @param {Float64Array} data The input data array * @param {Float64Array} out The output data array * @param {number} outOff The output offset * @param {number} off The input offset * @param {number} step The step * * @returns {void} */ _singleRealTransform2(data, out, outOff, off, step) { const evenR = data[off]; const oddR = data[off + step]; out[outOff] = evenR + oddR; out[outOff + 1] = 0; out[outOff + 2] = evenR - oddR; out[outOff + 3] = 0; } /** * Computes a single real-valued transform using radix-4 algorithm. * This method is only called for len=8. * * @param {Float64Array} data The input data array. * @param {Float64Array} out The output data array. * @param {number} outOff The offset into the output array. * @param {number} off The offset into the input array. * @param {number} step The step size for the input array. * @param {number} inv The value of inverse. */ _singleRealTransform4(data, out, outOff, off, step, inv) { const step2 = step * 2; const step3 = step * 3; const Ar = data[off]; const Br = data[off + step]; const Cr = data[off + step2]; const Dr = data[off + step3]; const T0r = Ar + Cr; const T1r = Ar - Cr; const T2r = Br + Dr; const T3r = inv * (Br - Dr); out[outOff] = T0r + T2r; out[outOff + 1] = 0; out[outOff + 2] = T1r; out[outOff + 3] = -T3r; out[outOff + 4] = T0r - T2r; out[outOff + 5] = 0; out[outOff + 6] = T1r; out[outOff + 7] = T3r; } }; var NP2FFT = class { /** * Constructs a new NP2FFT object. * @param {number} fft_length The length of the FFT */ constructor(fft_length) { const a = 2 * (fft_length - 1); const b = 2 * (2 * fft_length - 1); const nextP2 = 2 ** Math.ceil(Math.log2(b)); this.bufferSize = nextP2; this._a = a; const chirp = new Float64Array(b); const ichirp = new Float64Array(nextP2); this._chirpBuffer = new Float64Array(nextP2); this._buffer1 = new Float64Array(nextP2); this._buffer2 = new Float64Array(nextP2); this._outBuffer1 = new Float64Array(nextP2); this._outBuffer2 = new Float64Array(nextP2); const theta = -2 * Math.PI / fft_length; const baseR = Math.cos(theta); const baseI = Math.sin(theta); for (let i = 0; i < b >> 1; ++i) { const e = (i + 1 - fft_length) ** 2 / 2; const result_mod = Math.sqrt(baseR ** 2 + baseI ** 2) ** e; const result_arg = e * Math.atan2(baseI, baseR); const i2 = 2 * i; chirp[i2] = result_mod * Math.cos(result_arg); chirp[i2 + 1] = result_mod * Math.sin(result_arg); ichirp[i2] = chirp[i2]; ichirp[i2 + 1] = -chirp[i2 + 1]; } this._slicedChirpBuffer = chirp.subarray(a, b); this._f = new P2FFT(nextP2 >> 1); this._f.transform(this._chirpBuffer, ichirp); } _transform(output, input, real) { const ib1 = this._buffer1; const ib2 = this._buffer2; const ob2 = this._outBuffer1; const ob3 = this._outBuffer2; const cb = this._chirpBuffer; const sb = this._slicedChirpBuffer; const a = this._a; if (real) { for (let j = 0; j < sb.length; j += 2) { const j2 = j + 1; const j3 = j >> 1; const a_real = input[j3]; ib1[j] = a_real * sb[j]; ib1[j2] = a_real * sb[j2]; } } else { for (let j = 0; j < sb.length; j += 2) { const j2 = j + 1; ib1[j] = input[j] * sb[j] - input[j2] * sb[j2]; ib1[j2] = input[j] * sb[j2] + input[j2] * sb[j]; } } this._f.transform(ob2, ib1); for (let j = 0; j < cb.length; j += 2) { const j2 = j + 1; ib2[j] = ob2[j] * cb[j] - ob2[j2] * cb[j2]; ib2[j2] = ob2[j] * cb[j2] + ob2[j2] * cb[j]; } this._f.inverseTransform(ob3, ib2); for (let j = 0; j < ob3.length; j += 2) { const a_real = ob3[j + a]; const a_imag = ob3[j + a + 1]; const b_real = sb[j]; const b_imag = sb[j + 1]; output[j] = a_real * b_real - a_imag * b_imag; output[j + 1] = a_real * b_imag + a_imag * b_real; } } transform(output, input) { this._transform(output, input, false); } realTransform(output, input) { this._transform(output, input, true); } }; var FFT = class { constructor(fft_length) { this.fft_length = fft_length; this.isPowerOfTwo = isPowerOfTwo(fft_length); if (this.isPowerOfTwo) { this.fft = new P2FFT(fft_length); this.outputBufferSize = 2 * fft_length; } else { this.fft = new NP2FFT(fft_length); this.outputBufferSize = this.fft.bufferSize; } } realTransform(out, input) { this.fft.realTransform(out, input); } transform(out, input) { this.fft.transform(out, input); } }; function medianFilter(data, windowSize) { if (windowSize % 2 === 0 || windowSize <= 0) { throw new Error("Window size must be a positive odd number"); } const outputArray = new data.constructor(data.length); const buffer = new data.constructor(windowSize); const halfWindowSize = Math.floor(windowSize / 2); for (let i = 0; i < data.length; ++i) { let valuesIndex = 0; for (let j = -halfWindowSize; j <= halfWindowSize; ++j) { let index = i + j; if (index < 0) { index = Math.abs(index); } else if (index >= data.length) { index = 2 * (data.length - 1) - index; } buffer[valuesIndex++] = data[index]; } buffer.sort(); outputArray[i] = buffer[halfWindowSize]; } return outputArray; } function round(num, decimals) { const pow = Math.pow(10, decimals); return Math.round(num * pow) / pow; } function bankers_round(x) { const r = Math.round(x); const br = Math.abs(x) % 1 === 0.5 ? r % 2 === 0 ? r : r - 1 : r; return br; } function dynamic_time_warping(matrix) { const output_length = matrix.length; const input_length = matrix[0].length; const outputShape = [output_length + 1, input_length + 1]; const cost = Array.from({ length: outputShape[0] }, () => Array(outputShape[1]).fill(Infinity)); cost[0][0] = 0; const trace = Array.from({ length: outputShape[0] }, () => Array(outputShape[1]).fill(-1)); for (let j2 = 1; j2 < outputShape[1]; ++j2) { for (let i2 = 1; i2 < outputShape[0]; ++i2) { const c0 = cost[i2 - 1][j2 - 1]; const c1 = cost[i2 - 1][j2]; const c2 = cost[i2][j2 - 1]; let c, t; if (c0 < c1 && c0 < c2) { c = c0; t = 0; } else if (c1 < c0 && c1 < c2) { c = c1; t = 1; } else { c = c2; t = 2; } cost[i2][j2] = matrix[i2 - 1][j2 - 1] + c; trace[i2][j2] = t; } } for (let i2 = 0; i2 < outputShape[1]; ++i2) { trace[0][i2] = 2; } for (let i2 = 0; i2 < outputShape[0]; ++i2) { trace[i2][0] = 1; } let i = output_length; let j = input_length; let text_indices = []; let time_indices = []; while (i > 0 || j > 0) { text_indices.push(i - 1); time_indices.push(j - 1); switch (trace[i][j]) { case 0: --i; --j; break; case 1: --i; break; case 2: --j; break; default: throw new Error( `Internal error in dynamic time warping. Unexpected trace[${i}, ${j}]. Please file a bug report.` ); } } text_indices.reverse(); time_indices.reverse(); return [text_indices, time_indices]; } var uint16_to_float32 = /* @__PURE__ */ function() { let float16LUT = null; return function(u16Array) { if (!float16LUT) { float16LUT = new Float32Array(65536); const buffer = new ArrayBuffer(4); const u32 = new Uint32Array(buffer); const f32 = new Float32Array(buffer); for (let i = 0; i < float16LUT.length; ++i) { let outBits = 0; const sign = (i & 32768) << 16; const exp = (i & 31744) >> 10; let mantissa = i & 1023; if (exp === 31) { outBits = sign | 2139095040 | mantissa << 13; } else if (exp === 0) { if (mantissa === 0) { outBits = sign; } else { let renormExp = 113; while ((mantissa & 1024) === 0) { mantissa <<= 1; --renormExp; } mantissa &= ~1024; outBits = sign | renormExp << 23 | mantissa << 13; } } else { outBits = sign | exp + 112 << 23 | mantissa << 13; } u32[0] = outBits; float16LUT[i] = f32[0]; } } const length = u16Array.length; const lut = float16LUT; const out = new Float32Array(length); for (let i = 0; i < length; ++i) { out[i] = lut[u16Array[i]]; } return out; }; }(); var ONNX_NODE = __toESM2(require_ort_node_min(), 1); var ort_webgpu_bundle_min_exports = {}; __export3(ort_webgpu_bundle_min_exports, { InferenceSession: () => qf, TRACE: () => Ga, TRACE_EVENT_BEGIN: () => $e, TRACE_EVENT_END: () => ze, TRACE_FUNC_BEGIN: () => tt, TRACE_FUNC_END: () => rt, Tensor: () => Le, default: () => gl, env: () => K, registerBackend: () => Ke }); var import_meta3 = {}; var jr = Object.defineProperty; var zf = Object.getOwnPropertyDescriptor; var Vf = Object.getOwnPropertyNames; var jf = Object.prototype.hasOwnProperty; var Hr = ((a) => typeof require < "u" ? require : typeof Proxy < "u" ? new Proxy(a, { get: (r, s) => (typeof require < "u" ? require : r)[s] }) : a)(function(a) { if (typeof require < "u") return require.apply(this, arguments); throw Error('Dynamic require of "' + a + '" is not supported'); }); var k = (a, r) => () => (a && (r = a(a = 0)), r); var At = (a, r) => { for (var s in r) jr(a, s, { get: r[s], enumerable: true }); }; var Hf = (a, r, s, f) => { if (r && typeof r == "object" || typeof r == "function") for (let i of Vf(r)) !jf.call(a, i) && i !== s && jr(a, i, { get: () => r[i], enumerable: !(f = zf(r, i)) || f.enumerable }); return a; }; var $t = (a) => Hf(jr({}, "__esModule", { value: true }), a); var zt; var Ze; var Ke; var Yf; var Ta; var Yr = k(() => { "use strict"; zt = /* @__PURE__ */ new Map(), Ze = [], Ke = (a, r, s) => { if (r && typeof r.init == "function" && typeof r.createInferenceSessionHandler == "function") { let f = zt.get(a); if (f === void 0) zt.set(a, { backend: r, priority: s }); else { if (f.priority > s) return; if (f.priority === s && f.backend !== r) throw new Error(`cannot register backend "${a}" using priority ${s}`); } if (s >= 0) { let i = Ze.indexOf(a); i !== -1 && Ze.splice(i, 1); for (let d = 0; d < Ze.length; d++) if (zt.get(Ze[d]).priority <= s) { Ze.splice(d, 0, a); return; } Ze.push(a); } return; } throw new TypeError("not a valid backend"); }, Yf = async (a) => { let r = zt.get(a); if (!r) return "backend not found."; if (r.initialized) return r.backend; if (r.aborted) return r.error; { let s = !!r.initPromise; try { return s || (r.initPromise = r.backend.init(a)), await r.initPromise, r.initialized = true, r.backend; } catch (f) { return s || (r.error = `${f}`, r.aborted = true), r.error; } finally { delete r.initPromise; } } }, Ta = async (a) => { let r = a.executionProviders || [], s = r.map((y) => typeof y == "string" ? y : y.name), f = s.length === 0 ? 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(U = 0, M = g, Y = g * 2) : m === "RBG" && (U = 0, Y = g, M = g * 2), f = s.createImageData(i, d); for (let W = 0; W < d * i; S += v, C += v, R += v, H += v, W++) f.data[S] = (a.data[U++] - T[0]) * w[0], f.data[C] = (a.data[M++] - T[1]) * w[1], f.data[R] = (a.data[Y++] - T[2]) * w[2], f.data[H] = O === -1 ? 255 : (a.data[O++] - T[3]) * w[3]; } else throw new Error("Can not access image data"); return f; }; }); var Jr; var Ba; var Ma; var Ca; var Ua; var Da; var Pa = k(() => { "use strict"; Vt(); Jr = (a, r) => { if (a === void 0) throw new Error("Image buffer must be defined"); if (r.height === void 0 || r.width === void 0) throw new Error("Image height and width must be defined"); if (r.tensorLayout === "NHWC") throw new Error("NHWC Tensor layout is not supported yet"); let { height: s, width: f } = r, i = r.norm ?? { mean: 255, bias: 0 }, d, l; typeof i.mean == "number" ? d = [i.mean, i.mean, i.mean, i.mean] : d = [i.mean[0], i.mean[1], i.mean[2], i.mean[3] ?? 255], typeof i.bias == "number" ? l = [i.bias, i.bias, i.bias, i.bias] : l = [i.bias[0], i.bias[1], i.bias[2], i.bias[3] ?? 0]; let m = r.format !== void 0 ? r.format : "RGBA", y = r.tensorFormat !== void 0 && r.tensorFormat !== void 0 ? r.tensorFormat : "RGB", w = s * f, T = y === "RGBA" ? new Float32Array(w * 4) : new Float32Array(w * 3), g = 4, v = 0, S = 1, C = 2, R = 3, H = 0, U = w, M = w * 2, Y = -1; m === "RGB" && (g = 3, v = 0, S = 1, C = 2, R = -1), y === "RGBA" ? Y = w * 3 : y === "RBG" ? (H = 0, M = w, U = w * 2) : y === "BGR" && (M = 0, U = w, H = w * 2); for (let W = 0; W < w; W++, v += g, C += g, S += g, R += g) T[H++] = (a[v] + l[0]) / d[0], T[U++] = (a[S] + l[1]) / d[1], T[M++] = (a[C] + l[2]) / d[2], Y !== -1 && R !== -1 && (T[Y++] = (a[R] + l[3]) / d[3]); return y === "RGBA" ? new le("float32", T, [1, 4, s, f]) : new le("float32", T, [1, 3, s, f]); }, Ba = async (a, r) => { let s = typeof HTMLImageElement < "u" && a instanceof HTMLImageElement, f = typeof ImageData < "u" && a instanceof ImageData, i = typeof ImageBitmap < "u" && a instanceof ImageBitmap, d = typeof a == "string", l, m = r ?? {}, y = () => { if (typeof document < "u") return document.createElement("canvas"); if (typeof OffscreenCanvas < "u") return new OffscreenCanvas(1, 1); throw new Error("Canvas is not supported"); }, w = (T) => typeof HTMLCanvasElement < "u" && T instanceof HTMLCanvasElement || T instanceof OffscreenCanvas ? T.getContext("2d") : null; if (s) { let T = y(); T.width = a.width, T.height = a.height; let g = w(T); if (g != null) { let v = a.height, S = a.width; if (r !== void 0 && r.resizedHeight !== void 0 && r.resizedWidth !== void 0 && (v = r.resizedHeight, S = r.resizedWidth), r !== void 0) { if (m = r, r.tensorFormat !== void 0) throw new Error("Image input config format must be RGBA for HTMLImageElement"); m.tensorFormat = "RGBA", m.height = v, m.width = S; } else m.tensorFormat = "RGBA", m.height = v, m.width = S; g.drawImage(a, 0, 0), l = g.getImageData(0, 0, S, v).data; } else throw new Error("Can not access image data"); } else if (f) { let T, g; if (r !== void 0 && r.resizedWidth !== void 0 && r.resizedHeight !== void 0 ? (T = r.resizedHeight, g = r.resizedWidth) : (T = a.height, g = a.width), r !== void 0 && (m = r), m.format = "RGBA", m.height = T, m.width = g, r !== void 0) { let v = y(); v.width = g, v.height = T; let S = w(v); if (S != null) S.putImageData(a, 0, 0), l = S.getImageData(0, 0, g, T).data; else throw new Error("Can not access image data"); } else l = a.data; } else if (i) { if (r === void 0) throw new Error("Please provide image config with format for Imagebitmap"); let T = y(); T.width = a.width, T.height = a.height; let g = w(T); if (g != null) { let v = a.height, S = a.width; return g.drawImage(a, 0, 0, S, v), l = g.getImageData(0, 0, S, v).data, m.height = v, m.width = S, Jr(l, m); } else throw new Error("Can not access image data"); } else { if (d) return new Promise((T, g) => { let v = y(), S = w(v); if (!a || !S) return g(); let C = new Image(); C.crossOrigin = "Anonymous", C.src = a, C.onload = () => { v.width = C.width, v.height = C.height, S.drawImage(C, 0, 0, v.width, v.height); let R = S.getImageData(0, 0, v.width, v.height); m.height = v.height, m.width = v.width, T(Jr(R.data, m)); }; }); throw new Error("Input data provided is not supported - aborted tensor creation"); } if (l !== void 0) return Jr(l, m); throw new Error("Input data provided is not supported - aborted tensor creation"); }, Ma = (a, r) => { let { width: s, height: f, download: i, dispose: d } = r, l = [1, f, s, 4]; return new le({ location: "texture", type: "float32", texture: a, dims: l, download: i, dispose: d }); }, Ca = (a, r) => { let { dataType: s, dims: f, download: i, dispose: d } = r; return new le({ location: "gpu-buffer", type: s ?? "float32", gpuBuffer: a, dims: f, download: i, dispose: d }); }, Ua = (a, r) => { let { dataType: s, dims: f, download: i, dispose: d } = r; return new le({ location: "ml-tensor", type: s ?? "float32", mlTensor: a, dims: f, download: i, dispose: d }); }, Da = (a, r, s) => new le({ location: "cpu-pinned", type: a, data: r, dims: s ?? [r.length] }); }); var et; var It; var _a; var Ra; var Na = k(() => { "use strict"; et = /* @__PURE__ */ new Map([["float32", Float32Array], ["uint8", Uint8Array], ["int8", Int8Array], ["uint16", Uint16Array], ["int16", Int16Array], ["int32", Int32Array], ["bool", Uint8Array], ["float64", Float64Array], ["uint32", Uint32Array], ["int4", Uint8Array], ["uint4", Uint8Array]]), It = /* @__PURE__ */ new Map([[Float32Array, "float32"], [Uint8Array, "uint8"], [Int8Array, "int8"], [Uint16Array, "uint16"], [Int16Array, "int16"], [Int32Array, "int32"], [Float64Array, "float64"], [Uint32Array, "uint32"]]), _a = false, Ra = () => { if (!_a) { _a = true; let a = typeof BigInt64Array < "u" && BigInt64Array.from, r = typeof BigUint64Array < "u" && BigUint64Array.from, s = globalThis.Float16Array, f = typeof s < "u" && s.from; a && (et.set("int64", BigInt64Array), It.set(BigInt64Array, "int64")), r && (et.set("uint64", BigUint64Array), It.set(BigUint64Array, "uint64")), f ? (et.set("float16", s), It.set(s, "float16")) : et.set("float16", Uint16Array); } }; }); var ka; var Wa; var Fa = k(() => { "use strict"; Vt(); ka = (a) => { let r = 1; for (let s = 0; s < a.length; s++) { let f = a[s]; if (typeof f != "number" || !Number.isSafeInteger(f)) throw new TypeError(`dims[${s}] must be an integer, got: ${f}`); if (f < 0) throw new RangeError(`dims[${s}] must be a non-negative integer, got: ${f}`); r *= f; } return r; }, Wa = (a, r) => { switch (a.location) { case "cpu": return new le(a.type, a.data, r); case "cpu-pinned": return new le({ location: "cpu-pinned", data: a.data, type: a.type, dims: r }); case "texture": return new le({ location: "texture", texture: a.texture, type: a.type, dims: r }); case "gpu-buffer": return new le({ location: "gpu-buffer", gpuBuffer: a.gpuBuffer, type: a.type, dims: r }); case "ml-tensor": return new le({ location: "ml-tensor", mlTensor: a.mlTensor, type: a.type, dims: r }); default: throw new Error(`tensorReshape: tensor location ${a.location} is not supported`); } }; }); var le; var Vt = k(() => { "use strict"; Oa(); Pa(); Na(); Fa(); le = class { constructor(r, s, f) { Ra(); let i, d; if (typeof r == "object" && "location" in r) switch (this.dataLocation = r.location, i = r.type, d = r.dims, r.location) { case "cpu-pinned": { let m = et.get(i); if (!m) throw new TypeError(`unsupported type "${i}" to create tensor from pinned buffer`); if (!(r.data instanceof m)) throw new TypeError(`buffer should be of type ${m.name}`); this.cpuData = r.data; break; } case "texture": { if (i !== "float32") throw new TypeError(`unsupported type "${i}" to create tensor from texture`); this.gpuTextureData = r.texture, this.downloader = r.download, this.disposer = r.dispose; break; } case "gpu-buffer": { if (i !== "float32" && i !== "float16" && i !== "int32" && i !== "int64" && i !== "uint32" && i !== "uint8" && i !== "bool" && i !== "uint4" && i !== "int4") throw new TypeError(`unsupported type "${i}" to create tensor from gpu buffer`); this.gpuBufferData = r.gpuBuffer, this.downloader = r.download, this.disposer = r.dispose; break; } case "ml-tensor": { if (i !== "float32" && i !== "float16" && i !== "int32" && i !== "int64" && i !== "uint32" && i !== "uint64" && i !== "int8" && i !== "uint8" && i !== "bool" && i !== "uint4" && i !== "int4") throw new TypeError(`unsupported type "${i}" to create tensor from MLTensor`); this.mlTensorData = r.mlTensor, this.downloader = r.download, this.disposer = r.dispose; break; } default: throw new Error(`Tensor constructor: unsupported location '${this.dataLocation}'`); } else { let m, y; if (typeof r == "string") if (i = r, y = f, r === "string") { if (!Array.isArray(s)) throw new TypeError("A string tensor's data must be a string array."); m = s; } else { let w = et.get(r); if (w === void 0) throw new TypeError(`Unsupported tensor type: ${r}.`); if (Array.isArray(s)) { if (r === "float16" && w === Uint16Array || r === "uint4" || r === "int4") throw new TypeError(`Creating a ${r} tensor from number array is not supported. Please use ${w.name} as data.`); r === "uint64" || r === "int64" ? m = w.from(s, BigInt) : m = w.from(s); } else if (s instanceof w) m = s; else if (s instanceof Uint8ClampedArray) if (r === "uint8") m = Uint8Array.from(s); else throw new TypeError("A Uint8ClampedArray tensor's data must be type of uint8"); else if (r === "float16" && s instanceof Uint16Array && w !== Uint16Array) m = new globalThis.Float16Array(s.buffer, s.byteOffset, s.length); else throw new TypeError(`A ${i} tensor's data must be type of ${w}`); } else if (y = s, Array.isArray(r)) { if (r.length === 0) throw new TypeError("Tensor type cannot be inferred from an empty array."); let w = typeof r[0]; if (w === "string") i = "string", m = r; else if (w === "boolean") i = "bool", m = Uint8Array.from(r); else throw new TypeError(`Invalid element type of data array: ${w}.`); } else if (r instanceof Uint8ClampedArray) i = "uint8", m = Uint8Array.from(r); else { let w = It.get(r.constructor); if (w === void 0) throw new TypeError(`Unsupported type for tensor data: ${r.constructor}.`); i = w, m = r; } if (y === void 0) y = [m.length]; else if (!Array.isArray(y)) throw new TypeError("A tensor's dims must be a number array"); d = y, this.cpuData = m, this.dataLocation = "cpu"; } let l = ka(d); if (this.cpuData && l !== this.cpuData.length && !((i === "uint4" || i === "int4") && Math.ceil(l / 2) === this.cpuData.length)) throw new Error(`Tensor's size(${l}) does not match data length(${this.cpuData.length}).`); this.type = i, this.dims = d, this.size = l; } static async fromImage(r, s) { return Ba(r, s); } static fromTexture(r, s) { return Ma(r, s); } static fromGpuBuffer(r, s) { return Ca(r, s); } static fromMLTensor(r, s) { return Ua(r, s); } static fromPinnedBuffer(r, s, f) { return Da(r, s, f); } toDataURL(r) { return xa(this, r); } toImageData(r) { return La(this, r); } get data() { if (this.ensureValid(), !this.cpuData) throw new Error("The data is not on CPU. Use `getData()` to download GPU data to CPU, or use `texture` or `gpuBuffer` property to access the GPU data directly."); return this.cpuData; } get location() { return this.dataLocation; } get texture() { if (this.ensureValid(), !this.gpuTextureData) throw new Error("The data is not stored as a WebGL texture."); return this.gpuTextureData; } get gpuBuffer() { if (this.ensureValid(), !this.gpuBufferData) throw new Error("The data is not stored as a WebGPU buffer."); return this.gpuBufferData; } get mlTensor() { if (this.ensureValid(), !this.mlTensorData) throw new Error("The data is not stored as a WebNN MLTensor."); return this.mlTensorData; } async getData(r) { switch (this.ensureValid(), this.dataLocation) { case "cpu": case "cpu-pinned": return this.data; case "texture": case "gpu-buffer": case "ml-tensor": { if (!this.downloader) throw new Error("The current tensor is not created with a specified data downloader."); if (this.isDownloading) throw new Error("The current tensor is being downloaded."); try { this.isDownloading = true; let s = await this.downloader(); return this.downloader = void 0, this.dataLocation = "cpu", this.cpuData = s, r && this.disposer && (this.disposer(), this.disposer = void 0), s; } finally { this.isDownloading = false; } } default: throw new Error(`cannot get data from location: ${this.dataLocation}`); } } dispose() { if (this.isDownloading) throw new Error("The current tensor is being downloaded."); this.disposer && (this.disposer(), this.disposer = void 0), this.cpuData = void 0, this.gpuTextureData = void 0, this.gpuBufferData = void 0, this.mlTensorData = void 0, this.downloader = void 0, this.isDownloading = void 0, this.dataLocation = "none"; } ensureValid() { if (this.dataLocation === "none") throw new Error("The tensor is disposed."); } reshape(r) { if (this.ensureValid(), this.downloader || this.disposer) throw new Error("Cannot reshape a tensor that owns GPU resource."); return Wa(this, r); } }; }); var Le; var Xr = k(() => { "use strict"; Vt(); Le = le; }); var Ga; var $a; var tt; var rt; var $e; var ze; var Qr = k(() => { "use strict"; qr(); Ga = (a, r) => { (typeof ie.trace > "u" ? 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(15 & u) << 12 | c << 6 | h : (7 & u) << 18 | c << 12 | h << 6 | 63 & e[t++]) ? o += String.fromCharCode(u) : (u -= 65536, o += String.fromCharCode(55296 | u >> 10, 56320 | 1023 & u)); } } else o += String.fromCharCode(u); } return o; }, ct = (e, t, n) => (e >>>= 0) ? xn((p(), J), e, t, n) : ""; function Ln(e, t, n) { return i ? V(3, 1, e, t, n) : 0; } function On(e, t) { if (i) return V(4, 1, e, t); } function Bn(e, t) { if (i) return V(5, 1, e, t); } function Mn(e, t, n) { if (i) return V(6, 1, e, t, n); } function Cn(e, t, n) { return i ? V(7, 1, e, t, n) : 0; } function Un(e, t) { if (i) return V(8, 1, e, t); } function Dn(e, t, n) { if (i) return V(9, 1, e, t, n); } function Pn(e, t, n, o) { if (i) return V(10, 1, e, t, n, o); } function _n2(e, t, n, o) { if (i) return V(11, 1, e, t, n, o); } function Rn(e, t, n, o) { if (i) return V(12, 1, e, t, n, o); } function Nn(e) { if (i) return V(13, 1, e); } function kn(e, t) { if (i) return V(14, 1, e, t); } function Wn(e, t, n) { if (i) return V(15, 1, e, t, n); } var Zs = () => Te(""), Be = (e) => { e >>>= 0; for (var t = ""; ; ) { var n = (p(), J)[e++ >>> 0]; if (!n) return t; t += String.fromCharCode(n); } }, Tr = {}, vr = {}, Ks = {}, dt = class extends Error { constructor(e) { super(e), this.name = "BindingError"; } }; function De(e, t, n = {}) { return function(o, u, c = {}) { var h = u.name; if (!o) throw new dt(`type "${h}" must have a positive integer typeid pointer`); if (vr.hasOwnProperty(o)) { if (c.de) return; throw new dt(`Cannot register type '${h}' twice`); } vr[o] = u, delete Ks[o], Tr.hasOwnProperty(o) && (u = Tr[o], delete Tr[o], u.forEach((b) => b())); }(e, t, n); } var Fn = (e, t, n) => { switch (t) { case 1: return n ? (o) => (p(), X)[o >>> 0] : (o) => (p(), J)[o >>> 0]; case 2: return n ? (o) => (p(), Ue)[o >>> 1 >>> 0] : (o) => (p(), Q)[o >>> 1 >>> 0]; case 4: return n ? (o) => (p(), x)[o >>> 2 >>> 0] : (o) => (p(), A)[o >>> 2 >>> 0]; case 8: return n ? (o) => (p(), me)[o >>> 3 >>> 0] : (o) => (p(), q)[o >>> 3 >>> 0]; default: throw new TypeError(`invalid integer width (${t}): ${e}`); } }; function ei(e, t, n, o, u) { e >>>= 0, n >>>= 0, t = Be(t >>> 0); let c = (h) => h; if (o = o === 0n) { let h = 8 * n; c = (b) => BigInt.asUintN(h, b), u = c(u); } De(e, { name: t, Mc: c, Sc: (h, b) => (typeof b == "number" && (b = BigInt(b)), b), Rc: Fn(t, n, !o), Tc: null }); } function ti(e, t, n, o) { De(e >>>= 0, { name: t = Be(t >>> 0), Mc: function(u) { return !!u; }, Sc: function(u, c) { return c ? n : o; }, Rc: function(u) { return this.Mc((p(), J)[u >>> 0]); }, Tc: null }); } var Gn = [], Xe = [0, 1, , 1, null, 1, true, 1, false, 1]; function Er(e) { 9 < (e >>>= 0) && --Xe[e + 1] == 0 && (Xe[e] = void 0, Gn.push(e)); } var ve = (e) => { if (!e) throw new dt(`Cannot use deleted val. handle = ${e}`); return Xe[e]; }, Ie = (e) => { switch (e) { case void 0: return 2; case null: return 4; case true: return 6; case false: return 8; default: let t = Gn.pop() || Xe.length; return Xe[t] = e, Xe[t + 1] = 1, t; } }; function Sr(e) { return this.Mc((p(), A)[e >>> 2 >>> 0]); } var ri = { name: "emscripten::val", Mc: (e) => { var t = ve(e); return Er(e), t; }, Sc: (e, t) => Ie(t), Rc: Sr, Tc: null }; function ni(e) { return De(e >>> 0, ri); } var oi = (e, t) => { switch (t) { case 4: return function(n) { return this.Mc((p(), _)[n >>> 2 >>> 0]); }; case 8: return function(n) { return this.Mc((p(), ae)[n >>> 3 >>> 0]); }; default: throw new TypeError(`invalid float width (${t}): ${e}`); } }; function ai(e, t, n) { n >>>= 0, De(e >>>= 0, { name: t = Be(t >>> 0), Mc: (o) => o, Sc: (o, u) => u, Rc: oi(t, n), Tc: null }); } function si(e, t, n, o, u) { e >>>= 0, n >>>= 0, t = Be(t >>> 0); let c = (b) => b; if (o === 0) { var h = 32 - 8 * n; c = (b) => b << h >>> h, u = c(u); } De(e, { name: t, Mc: c, Sc: (b, E) => E, Rc: Fn(t, n, o !== 0), Tc: null }); } function ii(e, t, n) { function o(c) { var h = (p(), A)[c >>> 2 >>> 0]; return c = (p(), A)[c + 4 >>> 2 >>> 0], new u((p(), X).buffer, c, h); } var u = [Int8Array, Uint8Array, Int16Array, Uint16Array, Int32Array, Uint32Array, Float32Array, Float64Array, BigInt64Array, BigUint64Array][t]; De(e >>>= 0, { name: n = Be(n >>> 0), Mc: o, Rc: o }, { de: true }); } var Pe = (e, t, n) => { var o = (p(), J); if (t >>>= 0, 0 < n) { var u = t; n = t + n - 1; for (var c = 0; c < e.length; ++c) { var h = e.codePointAt(c); if (127 >= h) { if (t >= n) break; o[t++ >>> 0] = h; } else if (2047 >= h) { if (t + 1 >= n) break; o[t++ >>> 0] = 192 | h >> 6, o[t++ >>> 0] = 128 | 63 & h; } else if (65535 >= h) { if (t + 2 >= n) break; o[t++ >>> 0] = 224 | h >> 12, o[t++ >>> 0] = 128 | h >> 6 & 63, o[t++ >>> 0] = 128 | 63 & h; } else { if (t + 3 >= n) break; o[t++ >>> 0] = 240 | h >> 18, o[t++ >>> 0] = 128 | h >> 12 & 63, o[t++ >>> 0] = 128 | h >> 6 & 63, o[t++ >>> 0] = 128 | 63 & h, c++; } } o[t >>> 0] = 0, e = t - u; } else e = 0; return e; }, _e2 = (e) => { for (var t = 0, n = 0; n < e.length; ++n) { var o = e.charCodeAt(n); 127 >= o ? t++ : 2047 >= o ? t += 2 : 55296 <= o && 57343 >= o ? (t += 4, ++n) : t += 3; } return t; }; function ui(e, t) { De(e >>>= 0, { name: t = Be(t >>> 0), Mc(n) { var o = (p(), A)[n >>> 2 >>> 0]; return o = ct(n + 4, o, true), xe(n), o; }, Sc(n, o) { o instanceof ArrayBuffer && (o = new Uint8Array(o)); var u = typeof o == "string"; if (!(u || ArrayBuffer.isView(o) && o.BYTES_PER_ELEMENT == 1)) throw new dt("Cannot pass non-string to std::string"); var c = u ? _e2(o) : o.length, h = pt(4 + c + 1), b = h + 4; return (p(), A)[h >>> 2 >>> 0] = c, u ? Pe(o, b, c + 1) : (p(), J).set(o, b >>> 0), n !== null && n.push(xe, h), h; }, Rc: Sr, Tc(n) { xe(n); } }); } var $n = globalThis.TextDecoder ? new TextDecoder("utf-16le") : void 0, fi = (e, t, n) => { if (e >>>= 1, 16 < (t = In((p(), Q), e, t / 2, n)) - e && $n) return $n.decode((p(), Q).slice(e, t)); for (n = ""; e < t; ++e) { var o = (p(), Q)[e >>> 0]; n += String.fromCharCode(o); } return n; }, ci = (e, t, n) => { if (n ??= 2147483647, 2 > n) return 0; var o = t; n = (n -= 2) < 2 * e.length ? n / 2 : e.length; for (var u = 0; u < n; ++u) { var c = e.charCodeAt(u); (p(), Ue)[t >>> 1 >>> 0] = c, t += 2; } return (p(), Ue)[t >>> 1 >>> 0] = 0, t - o; }, di = (e) => 2 * e.length, li = (e, t, n) => { var o = ""; e >>>= 2; for (var u = 0; !(u >= t / 4); u++) { var c = (p(), A)[e + u >>> 0]; if (!c && !n) break; o += String.fromCodePoint(c); } return o; }, pi = (e, t, n) => { if (t >>>= 0, n ??= 2147483647, 4 > n) return 0; var o = t; n = o + n - 4; for (var u = 0; u < e.length; ++u) { var c = e.codePointAt(u); if (65535 < c && u++, (p(), x)[t >>> 2 >>> 0] = c, (t += 4) + 4 > n) break; } return (p(), x)[t >>> 2 >>> 0] = 0, t - o; }, mi = (e) => { for (var t = 0, n = 0; n < e.length; ++n) 65535 < e.codePointAt(n) && n++, t += 4; return t; }; function hi(e, t, n) { if (e >>>= 0, t >>>= 0, n = Be(n >>>= 0), t === 2) var o = fi, u = ci, c = di; else o = li, u = pi, c = mi; De(e, { name: n, Mc: (h) => { var b = (p(), A)[h >>> 2 >>> 0]; return b = o(h + 4, b * t, true), xe(h), b; }, Sc: (h, b) => { if (typeof b != "string") throw new dt(`Cannot pass non-string to C++ string type ${n}`); var E = c(b), I = pt(4 + E + t); return (p(), A)[I >>> 2 >>> 0] = E / t, u(b, I + 4, E + t), h !== null && h.push(xe, I), I; }, Rc: Sr, Tc(h) { xe(h); } }); } function yi(e, t) { De(e >>>= 0, { ee: true, name: t = Be(t >>> 0), Mc: () => { }, Sc: () => { } }); } function bi(e) { Wr(e >>> 0, !f, 1, !s, 131072, false), bn(); } var he = (e) => { if (!W) try { if (e(), !(0 < G)) try { i ? 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Vr[t] : of[e])(...Ir); } var vi = () => { G = 0; }; function Ei(e) { e >>>= 0, i ? postMessage({ Oc: "cleanupThread", he: e }) : yn(Je[e]); } function Si(e) { } var Pt = (e) => { try { e(); } catch (t) { Te(t); } }; function Ai(e) { var t = (...n) => { _t2.push(e); try { return e(...n); } finally { W || (_t2.pop(), Me && Ge === 1 && _t2.length === 0 && (Ge = 0, G += 1, Pt(ba), typeof Fibers < "u" && Fibers.Be())); } }; return jn.set(e, t), t; } var Ge = 0, Me = null, zn = 0, _t2 = [], xr = /* @__PURE__ */ new Map(), Vn = /* @__PURE__ */ new Map(), jn = /* @__PURE__ */ new Map(), Ii = 0, Lr = null, xi = [], Hn = (e) => function(t) { if (!W) { if (Ge === 0) { var n = false, o = false; t((u = 0) => { if (!W && (zn = u, n = true, o)) { Ge = 2, Pt(() => wa(Me)), typeof MainLoop < "u" && MainLoop.Xd && MainLoop.resume(), u = false; try { var c = function() { var E = (p(), x)[Me + 8 >>> 2 >>> 0]; return E = Vn.get(E), E = jn.get(E), --G, E(); }(); } catch (E) { c = E, u = true; } var h = false; if (!Me) { var b = Lr; b && (Lr = null, (u ? b.reject : b.resolve)(c), h = true); } if (u && !h) throw c; } }), o = true, n || (Ge = 1, Me = function() { var u = pt(65548), c = u + 12; if ((p(), A)[u >>> 2 >>> 0] = c, (p(), A)[u + 4 >>> 2 >>> 0] = c + 65536, c = _t2[0], !xr.has(c)) { var h = Ii++; xr.set(c, h), Vn.set(h, c); } return c = xr.get(c), (p(), x)[u + 8 >>> 2 >>> 0] = c, u; }(), typeof MainLoop < "u" && MainLoop.Xd && MainLoop.pause(), Pt(() => ya(Me))); } else Ge === 2 ? (Ge = 0, Pt(ga), xe(Me), Me = null, xi.forEach(he)) : Te(`invalid state: ${Ge}`); return zn; } }((t) => { e().then(t); }); function Li(e) { return e >>>= 0, Hn(async () => { var t = await ve(e); return Ie(t); }); } var Or = [], Oi = (e) => { var t = Or.length; return Or.push(e), t; }, Bi = (e, t) => { for (var n = Array(e), o = 0; o < e; ++o) { var u = o, c = (p(), A)[t + 4 * o >>> 2 >>> 0], h = vr[c]; if (h === void 0) throw e = `parameter ${o}`, c = lo(c), t = Be(c), xe(c), new dt(`${e} has unknown type ${t}`); n[u] = h; } return n; }, Mi = (e, t, n) => { var o = []; return e = e(o, n), o.length && ((p(), A)[t >>> 2 >>> 0] = Ie(o)), e; }, Ci = {}, Rt = (e) => { var t = Ci[e]; return t === void 0 ? Be(e) : t; }; function Ui(e, t, n) { var [o, ...u] = Bi(e, t >>> 0); t = o.Sc.bind(o); var c = u.map((E) => E.Rc.bind(E)); e--; var h = { toValue: ve }; switch (e = c.map((E, I) => { var F = `argFromPtr${I}`; return h[F] = E, `${F}(args${I ? "+" + 8 * I : ""})`; }), n) { case 0: var b = "toValue(handle)"; break; case 2: b = "new (toValue(handle))"; break; case 3: b = ""; break; case 1: h.getStringOrSymbol = Rt, b = "toValue(handle)[getStringOrSymbol(methodName)]"; } return b += `(${e})`, o.ee || (h.toReturnWire = t, h.emval_returnValue = Mi, b = `return emval_returnValue(toReturnWire, destructorsRef, ${b})`), b = `return function (handle, methodName, destructorsRef, args) { ${b} }`, n = new Function(Object.keys(h), b)(...Object.values(h)), b = `methodCaller<(${u.map((E) => E.name)}) => ${o.name}>`, Oi(Object.defineProperty(n, "name", { value: b })); } function Di(e, t) { return t >>>= 0, (e = ve(e >>> 0)) == ve(t); } function Pi(e) { return (e >>>= 0) ? (e = Rt(e), Ie(globalThis[e])) : Ie(globalThis); } function _i2(e) { return e = Rt(e >>> 0), Ie(r[e]); } function Ri(e, t) { return t >>>= 0, e = ve(e >>> 0), t = ve(t), Ie(e[t]); } function Ni(e) { 9 < (e >>>= 0) && (Xe[e + 1] += 1); } function Yn(e, t, n, o, u) { return Or[e >>> 0](t >>> 0, n >>> 0, o >>> 0, u >>> 0); } function ki(e, t, n, o, u) { return Yn(e >>> 0, t >>> 0, n >>> 0, o >>> 0, u >>> 0); } function Wi() { return Ie([]); } function Fi(e) { e = ve(e >>> 0); for (var t = Array(e.length), n = 0; n < e.length; n++) t[n] = e[n]; return Ie(t); } function Gi(e) { return Ie(Rt(e >>> 0)); } function $i() { return Ie({}); } function zi(e) { for (var t = ve(e >>>= 0); t.length; ) { var n = t.pop(); t.pop()(n); } Er(e); } function Vi(e, t, n) { t >>>= 0, n >>>= 0, e = ve(e >>> 0), t = ve(t), n = ve(n), e[t] = n; } function ji(e, t) { e = ce(e), t >>>= 0, e = new Date(1e3 * e), (p(), x)[t >>> 2 >>> 0] = e.getUTCSeconds(), (p(), x)[t + 4 >>> 2 >>> 0] = e.getUTCMinutes(), (p(), x)[t + 8 >>> 2 >>> 0] = e.getUTCHours(), (p(), x)[t + 12 >>> 2 >>> 0] = e.getUTCDate(), (p(), x)[t + 16 >>> 2 >>> 0] = e.getUTCMonth(), (p(), x)[t + 20 >>> 2 >>> 0] = e.getUTCFullYear() - 1900, (p(), x)[t + 24 >>> 2 >>> 0] = e.getUTCDay(), e = (e.getTime() - Date.UTC(e.getUTCFullYear(), 0, 1, 0, 0, 0, 0)) / 864e5 | 0, (p(), x)[t + 28 >>> 2 >>> 0] = e; } var qn = (e) => e % 4 == 0 && (e % 100 != 0 || e % 400 == 0), Jn = [0, 31, 60, 91, 121, 152, 182, 213, 244, 274, 305, 335], Xn = [0, 31, 59, 90, 120, 151, 181, 212, 243, 273, 304, 334]; function Hi(e, t) { e = ce(e), t >>>= 0, e = new Date(1e3 * e), (p(), x)[t >>> 2 >>> 0] = e.getSeconds(), (p(), x)[t + 4 >>> 2 >>> 0] = e.getMinutes(), (p(), x)[t + 8 >>> 2 >>> 0] = e.getHours(), (p(), x)[t + 12 >>> 2 >>> 0] = e.getDate(), (p(), x)[t + 16 >>> 2 >>> 0] = e.getMonth(), (p(), x)[t + 20 >>> 2 >>> 0] = e.getFullYear() - 1900, (p(), x)[t + 24 >>> 2 >>> 0] = e.getDay(); var n = (qn(e.getFullYear()) ? Jn : Xn)[e.getMonth()] + e.getDate() - 1 | 0; (p(), x)[t + 28 >>> 2 >>> 0] = n, (p(), x)[t + 36 >>> 2 >>> 0] = -60 * e.getTimezoneOffset(), n = new Date(e.getFullYear(), 6, 1).getTimezoneOffset(); var o = new Date(e.getFullYear(), 0, 1).getTimezoneOffset(); e = 0 | (n != o && e.getTimezoneOffset() == Math.min(o, n)), (p(), x)[t + 32 >>> 2 >>> 0] = e; } function Yi(e) { e >>>= 0; var t = new Date((p(), x)[e + 20 >>> 2 >>> 0] + 1900, (p(), x)[e + 16 >>> 2 >>> 0], (p(), x)[e + 12 >>> 2 >>> 0], (p(), x)[e + 8 >>> 2 >>> 0], (p(), x)[e + 4 >>> 2 >>> 0], (p(), x)[e >>> 2 >>> 0], 0), n = (p(), x)[e + 32 >>> 2 >>> 0], o = t.getTimezoneOffset(), u = new Date(t.getFullYear(), 6, 1).getTimezoneOffset(), c = new Date(t.getFullYear(), 0, 1).getTimezoneOffset(), h = Math.min(c, u); return 0 > n ? (p(), x)[e + 32 >>> 2 >>> 0] = +(u != c && h == o) : 0 < n != (h == o) && (u = Math.max(c, u), t.setTime(t.getTime() + 6e4 * ((0 < n ? h : u) - o))), (p(), x)[e + 24 >>> 2 >>> 0] = t.getDay(), n = (qn(t.getFullYear()) ? Jn : Xn)[t.getMonth()] + t.getDate() - 1 | 0, (p(), x)[e + 28 >>> 2 >>> 0] = n, (p(), x)[e >>> 2 >>> 0] = t.getSeconds(), (p(), x)[e + 4 >>> 2 >>> 0] = t.getMinutes(), (p(), x)[e + 8 >>> 2 >>> 0] = t.getHours(), (p(), x)[e + 12 >>> 2 >>> 0] = t.getDate(), (p(), x)[e + 16 >>> 2 >>> 0] = t.getMonth(), (p(), x)[e + 20 >>> 2 >>> 0] = t.getYear(), e = t.getTime(), BigInt(isNaN(e) ? -1 : e / 1e3); } function Qn(e, t, n, o, u, c, h) { return i ? V(16, 1, e, t, n, o, u, c, h) : -52; } function Zn(e, t, n, o, u, c) { if (i) return V(17, 1, e, t, n, o, u, c); } var Tt = {}, qi = () => performance.timeOrigin + performance.now(); function Kn(e, t) { if (i) return V(18, 1, e, t); if (Tt[e] && (clearTimeout(Tt[e].id), delete Tt[e]), !t) return 0; var n = setTimeout(() => { delete Tt[e], he(() => Bo(e, performance.timeOrigin + performance.now())); }, t); return Tt[e] = { id: n, Ae: t }, 0; } function Ji(e, t, n, o) { e >>>= 0, t >>>= 0, n >>>= 0, o >>>= 0; var u = (/* @__PURE__ */ new Date()).getFullYear(), c = new Date(u, 0, 1).getTimezoneOffset(); u = new Date(u, 6, 1).getTimezoneOffset(); var h = Math.max(c, u); (p(), A)[e >>> 2 >>> 0] = 60 * h, (p(), x)[t >>> 2 >>> 0] = +(c != u), e = (t = (b) => { var E = Math.abs(b); return `UTC${0 <= b ? "-" : "+"}${String(Math.floor(E / 60)).padStart(2, "0")}${String(E % 60).padStart(2, "0")}`; })(c), t = t(u), u < c ? (Pe(e, n, 17), Pe(t, o, 17)) : (Pe(e, o, 17), Pe(t, n, 17)); } var Xi = () => Date.now(), Qi = 1; function Zi(e, t, n) { if (n >>>= 0, !(0 <= e && 3 >= e)) return 28; if (e === 0) e = Date.now(); else { if (!Qi) return 52; e = performance.timeOrigin + performance.now(); } return e = Math.round(1e6 * e), (p(), me)[n >>> 3 >>> 0] = BigInt(e), 0; } var Br = [], eo = (e, t) => { Br.length = 0; for (var n; n = (p(), J)[e++ >>> 0]; ) { var o = n != 105; t += (o &= n != 112) && t % 8 ? 4 : 0, Br.push(n == 112 ? (p(), A)[t >>> 2 >>> 0] : n == 106 ? (p(), me)[t >>> 3 >>> 0] : n == 105 ? (p(), x)[t >>> 2 >>> 0] : (p(), ae)[t >>> 3 >>> 0]), t += o ? 8 : 4; } return Br; }; function Ki(e, t, n) { return e >>>= 0, t = eo(t >>> 0, n >>> 0), Vr[e](...t); } function eu(e, t, n) { return e >>>= 0, t = eo(t >>> 0, n >>> 0), Vr[e](...t); } var tu = () => { }; function ru(e, t) { return O(ct(e >>> 0, t >>> 0)); } var nu = () => { throw G += 1, "unwind"; }; function ou() { return 4294901760; } var au = () => 1, su = () => navigator.hardwareConcurrency; function iu(e) { e >>>= 0; var t = (p(), J).length; if (e <= t || 4294901760 < e) return false; for (var n = 1; 4 >= n; n *= 2) { var o = t * (1 + 0.2 / n); o = Math.min(o, e + 100663296); e: { o = (Math.min(4294901760, 65536 * Math.ceil(Math.max(e, o) / 65536)) - Fe.buffer.byteLength + 65535) / 65536 | 0; try { Fe.grow(o), se(); var u = 1; break e; } catch { } u = void 0; } if (u) return true; } return false; } var Ce = (e) => { var t = _e2(e) + 1, n = Ft(t); return Pe(e, n, t), n; }, Mr = (e, t) => { (p(), A)[e >>> 2 >>> 0] = t; var n = (p(), A)[e >>> 2 >>> 0]; (p(), A)[e + 4 >>> 2 >>> 0] = (t - n) / 4294967296; }, vt = (e) => (p(), A)[e >>> 2 >>> 0] + 4294967296 * (p(), x)[e + 4 >>> 2 >>> 0], de = [], uu = (e, t) => { de[e >>> 0] = t; }, Re = [], Nt = [], lt = (e, t) => { Nt[e] = new Promise((n) => t.finally(() => n(e))); }, L = (e) => { if (e) return de[e >>> 0]; }, fu = (e, t) => { for (e = (p(), A)[e >>> 2 >>> 0]; e; e = (p(), A)[e >>> 2 >>> 0]) t[(p(), x)[e + 4 >>> 2 >>> 0]](e); }, kt = (e, t, n) => { (p(), A)[e >>> 2 >>> 0] = t, (p(), A)[e + 4 >>> 2 >>> 0] = n; }, to = (e) => { var t = (p(), A)[e >>> 2 >>> 0]; return e = (p(), A)[e + 4 >>> 2 >>> 0], ct(t, e); }, Ne = (e) => { var t = (p(), A)[e >>> 2 >>> 0]; return e = (p(), A)[e + 4 >>> 2 >>> 0], t ? ct(t, e) : e === 0 ? "" : void 0; }, cu = (e) => { var t = Ne(e + 4), n = (n = (p(), A)[e + 12 >>> 2 >>> 0]) ? L(n) : "auto"; if (e += 16) { var o = L((p(), A)[e + 4 >>> 2 >>> 0]), u = (p(), A)[e + 16 >>> 2 >>> 0], c = (p(), A)[e + 20 >>> 2 >>> 0]; if (u) { for (var h = {}, b = 0; b < u; ++b) { var E = c + 24 * b; h[to(E + 4)] = (p(), ae)[E + 16 >>> 3 >>> 0]; } u = h; } else u = void 0; e = { module: o, constants: u, entryPoint: Ne(e + 8) }; } else e = void 0; return { label: t, layout: n, compute: e }; }, ro = (e, t) => { function n(o, u) { o = e[o], (p(), A)[t + u >>> 2 >>> 0] = o; } n("maxTextureDimension1D", 4), n("maxTextureDimension2D", 8), n("maxTextureDimension3D", 12), n("maxTextureArrayLayers", 16), n("maxBindGroups", 20), n("maxBindGroupsPlusVertexBuffers", 24), n("maxBindingsPerBindGroup", 28), n("maxDynamicUniformBuffersPerPipelineLayout", 32), n("maxDynamicStorageBuffersPerPipelineLayout", 36), n("maxSampledTexturesPerShaderStage", 40), n("maxSamplersPerShaderStage", 44), n("maxStorageBuffersPerShaderStage", 48), n("maxStorageTexturesPerShaderStage", 52), n("maxUniformBuffersPerShaderStage", 56), n("minUniformBufferOffsetAlignment", 80), n("minStorageBufferOffsetAlignment", 84), Mr(t + 64, e.maxUniformBufferBindingSize), Mr(t + 72, e.maxStorageBufferBindingSize), n("maxVertexBuffers", 88), Mr(t + 96, e.maxBufferSize), n("maxVertexAttributes", 104), n("maxVertexBufferArrayStride", 108), n("maxInterStageShaderVariables", 112), n("maxColorAttachments", 116), n("maxColorAttachmentBytesPerSample", 120), n("maxComputeWorkgroupStorageSize", 124), n("maxComputeInvocationsPerWorkgroup", 128), n("maxComputeWorkgroupSizeX", 132), n("maxComputeWorkgroupSizeY", 136), n("maxComputeWorkgroupSizeZ", 140), n("maxComputeWorkgroupsPerDimension", 144), e.ze !== void 0 && n("maxImmediateSize", 148); 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var h = L(e >>> 0); if (e = {}, c) { var b = (p(), A)[c + 12 >>> 2 >>> 0]; if (b) { var E = (p(), A)[c + 16 >>> 2 >>> 0]; e.requiredFeatures = Array.from((p(), A).subarray(E >>> 2 >>> 0, E + 4 * b >>> 2 >>> 0), (B) => no[B]); } var I = (p(), A)[c + 20 >>> 2 >>> 0]; if (I) { let B = function(ye, fe, Qe = false) { fe = I + fe, (fe = (p(), A)[fe >>> 2 >>> 0]) == 4294967295 || Qe && fe == 0 || (F[ye] = fe); }, ue = function(ye, fe) { fe = I + fe; var Qe = (p(), A)[fe >>> 2 >>> 0], $f = (p(), A)[fe + 4 >>> 2 >>> 0]; Qe == 4294967295 && $f == 4294967295 || (F[ye] = vt(fe)); }; var j = B, te = ue, F = {}; B("maxTextureDimension1D", 4), B("maxTextureDimension2D", 8), B("maxTextureDimension3D", 12), B("maxTextureArrayLayers", 16), B("maxBindGroups", 20), B("maxBindGroupsPlusVertexBuffers", 24), B("maxDynamicUniformBuffersPerPipelineLayout", 32), B("maxDynamicStorageBuffersPerPipelineLayout", 36), B("maxSampledTexturesPerShaderStage", 40), B("maxSamplersPerShaderStage", 44), B("maxStorageBuffersPerShaderStage", 48), B("maxStorageTexturesPerShaderStage", 52), B("maxUniformBuffersPerShaderStage", 56), B("minUniformBufferOffsetAlignment", 80), B("minStorageBufferOffsetAlignment", 84), ue("maxUniformBufferBindingSize", 64), ue("maxStorageBufferBindingSize", 72), B("maxVertexBuffers", 88), ue("maxBufferSize", 96), B("maxVertexAttributes", 104), B("maxVertexBufferArrayStride", 108), B("maxInterStageShaderVariables", 112), B("maxColorAttachments", 116), B("maxColorAttachmentBytesPerSample", 120), B("maxComputeWorkgroupStorageSize", 124), B("maxComputeInvocationsPerWorkgroup", 128), B("maxComputeWorkgroupSizeX", 132), B("maxComputeWorkgroupSizeY", 136), B("maxComputeWorkgroupSizeZ", 140), B("maxComputeWorkgroupsPerDimension", 144), B("maxImmediateSize", 148, true), e.requiredLimits = F; } (b = (p(), A)[c + 24 >>> 2 >>> 0]) && (b = { label: Ne(b + 4) }, e.defaultQueue = b), e.label = Ne(c + 4); } G += 1, lt(t, h.requestDevice(e).then((B) => { --G, he(() => { de[u >>> 0] = B.queue, de[o >>> 0] = B, G += 1, lt(n, B.lost.then((ue) => { he(() => { B.onuncapturederror = () => { }; var ye = P(), fe = Ce(ue.message); _r2(n, hu[ue.reason], fe), D(ye); }), --G; })), B.onuncapturederror = (ue) => { var ye = 5; ue.error instanceof GPUValidationError ? ye = 2 : ue.error instanceof GPUOutOfMemoryError ? ye = 3 : ue.error instanceof GPUInternalError && (ye = 4); var fe = P(); ue = Ce(ue.error.message), Io(o, ye, ue), D(fe); }, "adapterInfo" in B || (B.adapterInfo = h.info), kr(t, 1, o, 0); }); }, (B) => { --G, he(() => { var ue = P(), ye = Ce(B.message); kr(t, 3, o, ye), n && _r2(n, 4, ye), D(ue); }); })); } function bu(e) { var t = L(e >>>= 0), n = Re[e]; if (n) { for (var o = 0; o < n.length; ++o) n[o](); delete Re[e]; } t.destroy(); } function wu(e, t, n) { n >>>= 0; var o = L(e >>>= 0); n == 4294967295 && (n = void 0); try { var u = o.getMappedRange(t >>> 0, n); } catch { return 0; } var c = Gr(16, u.byteLength); return (p(), J).set(new Uint8Array(u), c >>> 0), Re[e].push(() => xe(c)), c; } function gu(e, t, n) { n >>>= 0; var o = L(e >>>= 0); n == 4294967295 && (n = void 0); try { var u = o.getMappedRange(t >>> 0, n); } catch { return 0; } var c = Gr(16, u.byteLength); return (p(), J).fill(0, c, u.byteLength), Re[e].push(() => { new Uint8Array(u).set((p(), J).subarray(c >>> 0, c + u.byteLength >>> 0)), xe(c); }), c; } function Tu(e, t, n, o, u) { e >>>= 0, t = ce(t), n = ce(n), u >>>= 0; var c = L(e); Re[e] = [], u == 4294967295 && (u = void 0), G += 1, lt(t, c.mapAsync(n, o >>> 0, u).then(() => { --G, he(() => { Rr(t, 1, 0); }); }, (h) => { --G, he(() => { P(); var b = Ce(h.message); Rr(t, h.name === "AbortError" ? 4 : h.name === "OperationError" ? 3 : 0, b), delete Re[e]; }); })); } function vu(e) { var t = L(e >>>= 0), n = Re[e]; if (n) { for (var o = 0; o < n.length; ++o) n[o](); delete Re[e], t.unmap(); } } function Eu(e) { delete de[e >>> 0]; } function Su(e, t, n) { e >>>= 0, t >>>= 0, n >>>= 0; var o = !!(p(), A)[t + 32 >>> 2 >>> 0]; t = { label: Ne(t + 4), usage: (p(), A)[t + 16 >>> 2 >>> 0], size: vt(t + 24), mappedAtCreation: o }, e = L(e); try { var u = e.createBuffer(t); } catch { return false; } return de[n >>> 0] = u, o && (Re[n] = []), true; } function Au(e, t, n, o) { e >>>= 0, t = ce(t), o >>>= 0, n = cu(n >>> 0), e = L(e), G += 1, lt(t, e.createComputePipelineAsync(n).then((u) => { --G, he(() => { de[o >>> 0] = u, Pr(t, 1, o, 0); }); }, (u) => { --G, he(() => { var c = P(), h = Ce(u.message); Pr(t, u.reason === "validation" ? 3 : u.reason === "internal" ? 4 : 0, o, h), D(c); }); })); } function Iu(e, t, n) { e >>>= 0, t >>>= 0, n >>>= 0; var o = (p(), A)[t >>> 2 >>> 0], u = (p(), x)[o + 4 >>> 2 >>> 0]; t = { label: Ne(t + 4), code: "" }, u === 2 && (t.code = to(o + 8)), e = L(e).createShaderModule(t), de[n >>> 0] = e; } var xu = (e) => { (e = L(e)).onuncapturederror = null, e.destroy(); }; function Lu(e, t) { t = ce(t), e = L(e >>> 0), G += 1, lt(t, e.popErrorScope().then((n) => { --G, he(() => { var o = 5; n ? n instanceof GPUValidationError ? o = 2 : n instanceof GPUOutOfMemoryError ? o = 3 : n instanceof GPUInternalError && (o = 4) : o = 1; var u = P(), c = n ? Ce(n.message) : 0; Nr(t, 1, o, c), D(u); }); }, (n) => { --G, he(() => { var o = P(), u = Ce(n.message); Nr(t, 1, 5, u), D(o); }); })); } function Ou(e, t, n, o) { if (t = ce(t), o >>>= 0, n >>>= 0) { var u = { featureLevel: lu[(p(), x)[n + 4 >>> 2 >>> 0]], powerPreference: pu[(p(), x)[n + 8 >>> 2 >>> 0]], forceFallbackAdapter: !!(p(), A)[n + 12 >>> 2 >>> 0] }; (e = (p(), A)[n >>> 2 >>> 0]) !== 0 && (p(), u.De = !!(p(), A)[e + 8 >>> 2 >>> 0]); } "gpu" in navigator ? (G += 1, lt(t, navigator.gpu.requestAdapter(u).then((c) => { --G, he(() => { if (c) de[o >>> 0] = c, Et(t, 1, o, 0); else { var h = P(), b = Ce("WebGPU not available on this browser (requestAdapter returned null)"); Et(t, 3, o, b), D(h); } }); }, (c) => { --G, he(() => { var h = P(), b = Ce(c.message); Et(t, 4, o, b), D(h); }); }))) : (u = P(), e = Ce("WebGPU not available on this browser (navigator.gpu is not available)"), Et(t, 3, o, e), D(u)); } function Bu(e, t, n) { return e >>>= 0, t >>>= 0, n >>>= 0, Hn(async () => { var o = []; if (n) { var u = (p(), x)[n >>> 2 >>> 0]; o.length = t + 1, o[t] = new Promise((b) => setTimeout(b, u, 0)); } else o.length = t; for (var c = 0; c < t; ++c) { var h = vt(e + 8 * c); if (!(h in Nt)) return h; o[c] = Nt[h]; } return o = await Promise.race(o), delete Nt[o], o; }); } var Cr, Ur = {}, oo = () => { if (!Cr) { var e, t = { USER: "web_user", LOGNAME: "web_user", PATH: "/", PWD: "/", HOME: "/home/web_user", LANG: (globalThis.navigator?.language ?? "C").replace("-", "_") + ".UTF-8", _: "./this.program" }; for (e in Ur) Ur[e] === void 0 ? delete t[e] : t[e] = Ur[e]; var n = []; for (e in t) n.push(`${e}=${t[e]}`); Cr = n; } return Cr; }; function ao(e, t) { if (i) return V(19, 1, e, t); e >>>= 0, t >>>= 0; var n, o = 0, u = 0; for (n of oo()) { var c = t + o; (p(), A)[e + u >>> 2 >>> 0] = c, o += Pe(n, c, 1 / 0) + 1, u += 4; } return 0; } function so(e, t) { if (i) return V(20, 1, e, t); e >>>= 0, t >>>= 0; var n = oo(); for (var o of ((p(), A)[e >>> 2 >>> 0] = n.length, e = 0, n)) e += _e2(o) + 1; return (p(), A)[t >>> 2 >>> 0] = e, 0; } function io(e) { return i ? V(21, 1, e) : 52; } function uo(e, t, n, o) { return i ? V(22, 1, e, t, n, o) : 52; } function fo(e, t, n, o) { return i ? V(23, 1, e, t, n, o) : 70; } var Mu = [null, [], []]; function co(e, t, n, o) { if (i) return V(24, 1, e, t, n, o); t >>>= 0, n >>>= 0, o >>>= 0; for (var u = 0, c = 0; c < n; c++) { var h = (p(), A)[t >>> 2 >>> 0], b = (p(), A)[t + 4 >>> 2 >>> 0]; t += 8; for (var E = 0; E < b; E++) { var I = e, F = (p(), J)[h + E >>> 0], j = Mu[I]; F === 0 || F === 10 ? ((I === 1 ? Y : O)(xn(j)), j.length = 0) : j.push(F); } u += b; } return (p(), A)[o >>> 2 >>> 0] = u, 0; } function Cu(e) { return e >>> 0; } function Uu(e, t) { return ro(L(e >>> 0).limits, t >>> 0), 1; } function Du(e, t) { return L(e >>> 0).features.has(no[t]); } function Pu(e) { return BigInt(L(e >>> 0).size); } function _u2(e) { return BigInt(L(e >>> 0).usage); } function Ru(e, t) { if (e >>>= 0, t >>>= 0) { var n = Ne(t + 4); n = { label: n, timestampWrites: t = (t = (p(), A)[t + 12 >>> 2 >>> 0]) !== 0 ? { querySet: L((p(), A)[t + 4 >>> 2 >>> 0]), beginningOfPassWriteIndex: (p(), A)[t + 8 >>> 2 >>> 0], endOfPassWriteIndex: (p(), A)[t + 12 >>> 2 >>> 0] } : void 0 }; } return t = L(e), e = To(0), n = t.beginComputePass(n), de[e >>> 0] = n, e; } function Nu(e, t, n, o) { n = ce(n), (o = ce(o)) == -1 && (o = void 0), (e = L(e >>> 0)).clearBuffer(L(t >>> 0), n, o); } function ku(e, t, n, o, u, c) { n = ce(n), u = ce(u), c = ce(c), L(e >>> 0).copyBufferToBuffer(L(t >>> 0), n, L(o >>> 0), u, c); } function Wu(e) { var t = L(e >>> 0); return e = wo(0), t = t.finish(), de[e >>> 0] = t, e; } function Fu(e, t, n, o, u, c) { c = ce(c), L(e >>> 0).resolveQuerySet(L(t >>> 0), n, o, L(u >>> 0), c); } function Gu(e, t, n, o) { L(e >>> 0).dispatchWorkgroups(t, n, o); } function $u(e, t, n) { n = ce(n), L(e >>> 0).dispatchWorkgroupsIndirect(L(t >>> 0), n); } function zu(e) { L(e >>> 0).end(); } function Vu(e, t, n, o, u) { o >>>= 0, u >>>= 0, e = L(e >>> 0), n = L(n >>> 0), o == 0 ? e.setBindGroup(t, n) : e.setBindGroup(t, n, (p(), A), u >>> 2, o); } function ju(e, t) { L(e >>> 0).setPipeline(L(t >>> 0)); } function Hu(e, t, n) { L(e >>> 0).Ce(L(t >>> 0), n); } function Yu(e, t) { var n = L(e >>> 0); return e = bo(0), t = n.getBindGroupLayout(t), de[e >>> 0] = t, e; } function qu(e, t) { function n(u) { var c = (p(), A)[u + 8 >>> 2 >>> 0], h = (p(), A)[u + 32 >>> 2 >>> 0], b = (p(), A)[u + 36 >>> 2 >>> 0], E = 0; return fu(u, { 327681: (I) => { E = (p(), A)[I + 8 >>> 2 >>> 0]; } }), c ? 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Math.ceil(r.reduce((f, i) => f * i) * s / 8) : 0; }, ir = class { constructor(r) { this.isDataConverted = false; let { sessionId: s, context: f, tensor: i, dataType: d, shape: l, fallbackDataType: m } = r; this.sessionId = s, this.mlContext = f, this.mlTensor = i, this.dataType = d, this.tensorShape = l, this.fallbackDataType = m; } get tensor() { return this.mlTensor; } get type() { return this.dataType; } get fallbackType() { return this.fallbackDataType; } get shape() { return this.tensorShape; } get byteLength() { return Ss(this.dataType, this.tensorShape); } destroy() { pe("verbose", () => "[WebNN] TensorWrapper.destroy"), this.mlTensor.destroy(); } write(r) { this.mlContext.writeTensor(this.mlTensor, r); } async read(r) { if (this.fallbackDataType) { let s = await this.mlContext.readTensor(this.mlTensor), f = Es(new Uint8Array(s), this.dataType); if (r) { (r instanceof ArrayBuffer ? new Uint8Array(r) : new Uint8Array(r.buffer, r.byteOffset, r.byteLength)).set(f); return; } else return f.buffer; } else return r ? this.mlContext.readTensor(this.mlTensor, r) : this.mlContext.readTensor(this.mlTensor); } canReuseTensor(r, s, f) { return this.mlContext === r && this.dataType === s && this.tensorShape.length === f.length && this.tensorShape.every((i, d) => i === f[d]); } setIsDataConverted(r) { this.isDataConverted = r; } }, ur = class { constructor(r, s) { this.tensorManager = r; this.wrapper = s; } get tensorWrapper() { return this.wrapper; } releaseTensor() { this.tensorWrapper && (this.tensorManager.releaseTensor(this.tensorWrapper), this.wrapper = void 0); } async ensureTensor(r, s, f, i) { let d = this.tensorManager.getMLContext(r), l = this.tensorManager.getMLOpSupportLimits(r), m; if (!l?.input.dataTypes.includes(s)) { if (m = pc.get(s), !m || l?.input.dataTypes.includes(m)) throw new Error(`WebNN backend does not support data type: ${s}`); pe("verbose", () => `[WebNN] TensorIdTracker.ensureTensor: fallback dataType from ${s} to ${m}`); } if (this.wrapper) { if (this.wrapper.canReuseTensor(d, s, f)) return this.wrapper.tensor; if (i) { if (this.wrapper.byteLength !== Ss(s, f)) 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 y = typeof MLTensorUsage > "u" ? void 0 : MLTensorUsage.READ | MLTensorUsage.WRITE; return this.wrapper = await this.tensorManager.getCachedTensor(r, s, f, y, true, true, m), i && this.activeUpload && (this.wrapper.write(this.activeUpload), this.activeUpload = void 0), this.wrapper.tensor; } upload(r) { let s = r; if (this.wrapper) { if (this.wrapper.fallbackType) if (this.wrapper.fallbackType === "int32") s = cn(r, this.wrapper.type), this.wrapper.setIsDataConverted(true); else throw new Error(`Unsupported fallback data type: ${this.wrapper.fallbackType}`); if (r.byteLength === this.wrapper.byteLength) { this.wrapper.write(s); return; } else pe("verbose", () => "Data size does not match tensor size. Releasing tensor."), this.releaseTensor(); } this.activeUpload ? this.activeUpload.set(s) : this.activeUpload = new Uint8Array(s); } async download(r) { if (this.activeUpload) { let s = this.wrapper?.isDataConverted ? Es(this.activeUpload, this.wrapper?.type) : this.activeUpload; if (r) { r instanceof ArrayBuffer ? new Uint8Array(r).set(s) : new Uint8Array(r.buffer, r.byteOffset, r.byteLength).set(s); return; } else return s.buffer; } if (!this.wrapper) throw new Error("Tensor has not been created."); return r ? this.wrapper.read(r) : this.wrapper.read(); } }, fn2 = class { constructor(r) { this.backend = r; this.tensorTrackersById = /* @__PURE__ */ new Map(); this.freeTensors = []; this.externalTensors = /* @__PURE__ */ new Set(); } getMLContext(r) { let s = this.backend.getMLContext(r); if (!s) throw new Error("MLContext not found for session."); return s; } getMLOpSupportLimits(r) { return this.backend.getMLOpSupportLimits(r); } reserveTensorId() { let r = Ts(); return this.tensorTrackersById.set(r, new ur(this)), r; } releaseTensorId(r) { let s = this.tensorTrackersById.get(r); s && (this.tensorTrackersById.delete(r), s.tensorWrapper && this.releaseTensor(s.tensorWrapper)); } async ensureTensor(r, s, f, i, d) { pe("verbose", () => `[WebNN] TensorManager.ensureTensor {tensorId: ${s}, dataType: ${f}, shape: ${i}, copyOld: ${d}}`); let l = this.tensorTrackersById.get(s); if (!l) throw new Error("Tensor not found."); return l.ensureTensor(r, f, i, d); } upload(r, s) { let f = this.tensorTrackersById.get(r); if (!f) throw new Error("Tensor not found."); f.upload(s); } async download(r, s) { pe("verbose", () => `[WebNN] TensorManager.download {tensorId: ${r}, dstBuffer: ${s?.byteLength}}`); let f = this.tensorTrackersById.get(r); if (!f) throw new Error("Tensor not found."); return f.download(s); } releaseTensorsForSession(r) { for (let s of this.freeTensors) s.sessionId === r && s.destroy(); this.freeTensors = this.freeTensors.filter((s) => s.sessionId !== r); } registerTensor(r, s, f, i) { let d = this.getMLContext(r), l = Ts(), m = new ir({ sessionId: r, context: d, tensor: s, dataType: f, shape: i }); return this.tensorTrackersById.set(l, new ur(this, m)), this.externalTensors.add(m), l; } async getCachedTensor(r, s, f, i, d, l, m) { let y = this.getMLContext(r); for (let [T, g] of this.freeTensors.entries()) if (g.canReuseTensor(y, s, f)) { pe("verbose", () => `[WebNN] Reusing tensor {dataType: ${s}, ${m ? `fallbackDataType: ${m},` : ""} shape: ${f}`); let v = this.freeTensors.splice(T, 1)[0]; return v.sessionId = r, v; } pe("verbose", () => `[WebNN] MLContext.createTensor {dataType: ${s}, ${m ? `fallbackDataType: ${m},` : ""} shape: ${f}}`); let w = await y.createTensor({ dataType: m ?? s, shape: f, dimensions: f, usage: i, writable: d, readable: l }); return new ir({ sessionId: r, context: y, tensor: w, dataType: s, shape: f, fallbackDataType: m }); } releaseTensor(r) { this.externalTensors.has(r) && this.externalTensors.delete(r), this.freeTensors.push(r); } }, As = (...a) => new fn2(...a); }); var xs = {}; At(xs, { WebNNBackend: () => dn }); var fr; var mc; var dn; var Ls = k(() => { "use strict"; st(); je(); ys(); Is(); un(); fr = /* @__PURE__ */ new Map([[1, "float32"], [10, "float16"], [6, "int32"], [12, "uint32"], [7, "int64"], [13, "uint64"], [22, "int4"], [21, "uint4"], [3, "int8"], [2, "uint8"], [9, "uint8"]]), mc = (a, r) => { if (a === r) return true; if (a === void 0 || r === void 0) return false; let s = Object.keys(a).sort(), f = Object.keys(r).sort(); return s.length === f.length && s.every((i, d) => i === f[d] && a[i] === r[i]); }, dn = class { constructor(r) { this.tensorManager = As(this); this.mlContextBySessionId = /* @__PURE__ */ new Map(); this.sessionIdsByMLContext = /* @__PURE__ */ new Map(); this.mlContextCache = []; this.sessionGraphInputs = /* @__PURE__ */ new Map(); this.sessionGraphOutputs = /* @__PURE__ */ new Map(); this.temporaryGraphInputs = []; this.temporaryGraphOutputs = []; this.temporarySessionTensorIds = /* @__PURE__ */ new Map(); this.mlOpSupportLimitsBySessionId = /* @__PURE__ */ new Map(); gs(r.logLevel, !!r.debug); } get currentSessionId() { if (this.activeSessionId === void 0) throw new Error("No active session"); return this.activeSessionId; } onRunStart(r) { pe("verbose", () => `[WebNN] onRunStart {sessionId: ${r}}`), this.activeSessionId = r; } onRunEnd(r) { pe("verbose", () => `[WebNN] onRunEnd {sessionId: ${r}}`); let s = this.temporarySessionTensorIds.get(r); if (s) { for (let f of s) pe("verbose", () => `[WebNN] releasing temporary tensor {tensorId: ${f}}`), this.tensorManager.releaseTensorId(f); this.temporarySessionTensorIds.delete(r), this.activeSessionId = void 0; } } async createMLContext(r) { if (r instanceof GPUDevice) { let f = this.mlContextCache.findIndex((i) => i.gpuDevice === r); if (f !== -1) return this.mlContextCache[f].mlContext; { let i = await navigator.ml.createContext(r); return this.mlContextCache.push({ gpuDevice: r, mlContext: i }), i; } } else if (r === void 0) { let f = this.mlContextCache.findIndex((i) => i.options === void 0 && i.gpuDevice === void 0); if (f !== -1) return this.mlContextCache[f].mlContext; { let i = await navigator.ml.createContext(); return this.mlContextCache.push({ mlContext: i }), i; } } let s = this.mlContextCache.findIndex((f) => mc(f.options, r)); if (s !== -1) return this.mlContextCache[s].mlContext; { let f = await navigator.ml.createContext(r); return this.mlContextCache.push({ options: r, mlContext: f }), f; } } registerMLContext(r, s) { this.mlContextBySessionId.set(r, s); let f = this.sessionIdsByMLContext.get(s); f || (f = /* @__PURE__ */ new Set(), this.sessionIdsByMLContext.set(s, f)), f.add(r), this.mlOpSupportLimitsBySessionId.has(r) || this.mlOpSupportLimitsBySessionId.set(r, s.opSupportLimits()), this.temporaryGraphInputs.length > 0 && (this.sessionGraphInputs.set(r, this.temporaryGraphInputs), this.temporaryGraphInputs = []), this.temporaryGraphOutputs.length > 0 && (this.sessionGraphOutputs.set(r, this.temporaryGraphOutputs), this.temporaryGraphOutputs = []); } onReleaseSession(r) { this.sessionGraphInputs.delete(r), this.sessionGraphOutputs.delete(r); let s = this.mlContextBySessionId.get(r); if (!s) return; this.tensorManager.releaseTensorsForSession(r), this.mlContextBySessionId.delete(r), this.mlOpSupportLimitsBySessionId.delete(r); let f = this.sessionIdsByMLContext.get(s); if (f.delete(r), f.size === 0) { this.sessionIdsByMLContext.delete(s); let i = this.mlContextCache.findIndex((d) => d.mlContext === s); i !== -1 && this.mlContextCache.splice(i, 1); } } getMLContext(r) { return this.mlContextBySessionId.get(r); } getMLOpSupportLimits(r) { return this.mlOpSupportLimitsBySessionId.get(r); } reserveTensorId() { return this.tensorManager.reserveTensorId(); } releaseTensorId(r) { pe("verbose", () => `[WebNN] releaseTensorId {tensorId: ${r}}`), this.tensorManager.releaseTensorId(r); } async ensureTensor(r, s, f, i, d) { let l = fr.get(f); if (!l) throw new Error(`Unsupported ONNX data type: ${f}`); return this.tensorManager.ensureTensor(r ?? this.currentSessionId, s, l, i, d); } async createTemporaryTensor(r, s, f) { pe("verbose", () => `[WebNN] createTemporaryTensor {onnxDataType: ${s}, shape: ${f}}`); let i = fr.get(s); if (!i) throw new Error(`Unsupported ONNX data type: ${s}`); let d = this.tensorManager.reserveTensorId(); await this.tensorManager.ensureTensor(r, d, i, f, false); let l = this.temporarySessionTensorIds.get(r); return l ? l.push(d) : this.temporarySessionTensorIds.set(r, [d]), d; } uploadTensor(r, s) { if (!z().shouldTransferToMLTensor) throw new Error("Trying to upload to a MLTensor while shouldTransferToMLTensor is false"); pe("verbose", () => `[WebNN] uploadTensor {tensorId: ${r}, data: ${s.byteLength}}`), this.tensorManager.upload(r, s); } async downloadTensor(r, s) { return this.tensorManager.download(r, s); } createMLTensorDownloader(r, s) { return async () => { let f = await this.tensorManager.download(r); return hs(f, s); }; } registerMLTensor(r, s, f, i) { let d = fr.get(f); if (!d) throw new Error(`Unsupported ONNX data type: ${f}`); let l = this.tensorManager.registerTensor(r, s, d, i); return pe("verbose", () => `[WebNN] registerMLTensor {tensor: ${s}, dataType: ${d}, dimensions: ${i}} -> {tensorId: ${l}}`), l; } registerMLConstant(r, s, f, i, d, l, m = false) { if (!l) throw new Error("External mounted files are not available."); let y = r; r.startsWith("./") && (y = r.substring(2)); let w = l.get(y); if (!w) throw new Error(`File with name ${y} not found in preloaded files.`); if (s + f > w.byteLength) throw new Error("Out of bounds: data offset and length exceed the external file data size."); let T = w.slice(s, s + f).buffer, g; switch (d.dataType) { case "float32": g = new Float32Array(T); break; case "float16": g = typeof Float16Array < "u" && Float16Array.from ? new Float16Array(T) : new Uint16Array(T); break; case "int32": g = new Int32Array(T); break; case "uint32": g = new Uint32Array(T); break; case "int64": if (m) { let v = cn(new Uint8Array(T), "int64"); g = new Int32Array(v.buffer), d.dataType = "int32"; } else g = new BigInt64Array(T); break; case "uint64": g = new BigUint64Array(T); break; case "int8": g = new Int8Array(T); break; case "int4": case "uint4": case "uint8": g = new Uint8Array(T); break; default: throw new Error(`Unsupported data type: ${d.dataType} in creating WebNN Constant from external data.`); } return pe("verbose", () => `[WebNN] registerMLConstant {dataType: ${d.dataType}, shape: ${d.shape}}} ${m ? "(Note: it was int64 data type and registered to int32 as workaround)" : ""}`), i.constant(d, g); } registerGraphInput(r) { this.temporaryGraphInputs.push(r); } registerGraphOutput(r) { this.temporaryGraphOutputs.push(r); } isGraphInput(r, s) { let f = this.sessionGraphInputs.get(r); return f ? f.includes(s) : false; } isGraphOutput(r, s) { let f = this.sessionGraphOutputs.get(r); return f ? f.includes(s) : false; } isGraphInputOutputTypeSupported(r, s, f = true) { let i = fr.get(He(s)), d = this.mlOpSupportLimitsBySessionId.get(r); return typeof i > "u" ? false : f ? !!d?.input.dataTypes.includes(i) : !!d?.output.dataTypes.includes(i); } flush() { } }; }); var hc; var Jt; var Xt; var it; var yc; var Os; var xt; var Qt; var Zt; var Bs; var Kt; var er; var tr; var Kr = k(() => { "use strict"; Ve(); ls(); ms(); st(); je(); nr(); sn(); hc = (a, r) => { z()._OrtInit(a, r) !== 0 && $("Can't initialize onnxruntime."); }, Jt = async (a) => { hc(a.wasm.numThreads, Ot(a.logLevel)); }, Xt = async (a, r) => { z().asyncInit?.(); let s = a.webgpu.adapter; if (r === "webgpu") { if (typeof navigator > "u" || !navigator.gpu) throw new Error("WebGPU is not supported in current environment"); if (s) { if (typeof s.limits != "object" || typeof s.features != "object" || typeof s.requestDevice != "function") throw new Error("Invalid GPU adapter set in `env.webgpu.adapter`. It must be a GPUAdapter object."); } else { let f = a.webgpu.powerPreference; if (f !== void 0 && f !== "low-power" && f !== "high-performance") throw new Error(`Invalid powerPreference setting: "${f}"`); let i = a.webgpu.forceFallbackAdapter; if (i !== void 0 && typeof i != "boolean") throw new Error(`Invalid forceFallbackAdapter setting: "${i}"`); if (s = await navigator.gpu.requestAdapter({ powerPreference: f, forceFallbackAdapter: i }), !s) throw new Error('Failed to get GPU adapter. You may need to enable flag "--enable-unsafe-webgpu" if you are using Chrome.'); } } if (r === "webnn" && (typeof navigator > "u" || !navigator.ml)) throw new Error("WebNN is not supported in current environment"); if (r === "webgpu" && z().webgpuInit((f) => { a.webgpu.device = f; }), r === "webnn") { let f = new (Ls(), $t(xs)).WebNNBackend(a); z().webnnInit([f, () => f.reserveTensorId(), (i) => f.releaseTensorId(i), async (i, d, l, m, y) => f.ensureTensor(i, d, l, m, y), (i, d) => { f.uploadTensor(i, d); }, async (i, d) => f.downloadTensor(i, d), (i, d) => f.registerMLContext(i, d), !!a.trace]); } }, it = /* @__PURE__ */ new Map(), yc = (a) => { let r = z(), s = r.stackSave(); try { let f = r.PTR_SIZE, i = r.stackAlloc(2 * f); r._OrtGetInputOutputCount(a, i, i + f) !== 0 && $("Can't get session input/output count."); let l = f === 4 ? "i32" : "i64"; return [Number(r.getValue(i, l)), Number(r.getValue(i + f, l))]; } finally { r.stackRestore(s); } }, Os = (a, r) => { let s = z(), f = s.stackSave(), i = 0; try { let d = s.PTR_SIZE, l = s.stackAlloc(2 * d); s._OrtGetInputOutputMetadata(a, r, l, l + d) !== 0 && $("Can't get session input/output metadata."); let y = Number(s.getValue(l, "*")); i = Number(s.getValue(l + d, "*")); let w = s.HEAP32[i / 4]; if (w === 0) return [y, 0]; let T = s.HEAPU32[i / 4 + 1], g = []; for (let v = 0; v < T; v++) { let S = Number(s.getValue(i + 8 + v * d, "*")); g.push(S !== 0 ? s.UTF8ToString(S) : Number(s.getValue(i + 8 + (v + T) * d, "*"))); } return [y, w, g]; } finally { s.stackRestore(f), i !== 0 && s._OrtFree(i); } }, xt = (a) => { let r = z(), s = r._malloc(a.byteLength); if (s === 0) throw new Error(`Can't create a session. failed to allocate a buffer of size ${a.byteLength}.`); return r.HEAPU8.set(a, s), [s, a.byteLength]; }, Qt = async (a, r) => { let s, f, i = z(); Array.isArray(a) ? [s, f] = a : a.buffer === i.HEAPU8.buffer ? [s, f] = [a.byteOffset, a.byteLength] : [s, f] = xt(a); let d = 0, l = 0, m = 0, y = [], w = [], T = []; try { if ([l, y] = await ps(r), r?.externalData && i.mountExternalData) { let O = []; for (let W of r.externalData) { let oe = typeof W == "string" ? W : W.path; O.push(Bt(typeof W == "string" ? W : W.data).then((p) => { i.mountExternalData(oe, p); })); } await Promise.all(O); } for (let O of r?.executionProviders ?? []) if ((typeof O == "string" ? O : O.name) === "webnn") { if (i.shouldTransferToMLTensor = false, typeof O != "string") { let oe = O, p = oe?.context, ne = oe?.gpuDevice, X = oe?.deviceType, J = oe?.powerPreference; p ? i.currentContext = p : ne ? i.currentContext = await i.webnnCreateMLContext(ne) : i.currentContext = await i.webnnCreateMLContext({ deviceType: X, powerPreference: J }); } else i.currentContext = await i.webnnCreateMLContext(); break; } d = await i._OrtCreateSession(s, f, l), i.webgpuOnCreateSession?.(d), d === 0 && $("Can't create a session."), i.jsepOnCreateSession?.(), i.currentContext && (i.webnnRegisterMLContext(d, i.currentContext), i.currentContext = void 0, i.shouldTransferToMLTensor = true); let [g, v] = yc(d), S = !!r?.enableGraphCapture, C = [], R = [], H = [], U = [], M = []; for (let O = 0; O < g; O++) { let [W, oe, p] = Os(d, O); W === 0 && $("Can't get an input name."), w.push(W); let ne = i.UTF8ToString(W); C.push(ne), H.push(oe === 0 ? { name: ne, isTensor: false } : { name: ne, isTensor: true, type: or(oe), shape: p }); } for (let O = 0; O < v; O++) { let [W, oe, p] = Os(d, O + g); W === 0 && $("Can't get an output name."), T.push(W); let ne = i.UTF8ToString(W); R.push(ne), U.push(oe === 0 ? { name: ne, isTensor: false } : { name: ne, isTensor: true, type: or(oe), shape: p }); { if (S && r?.preferredOutputLocation === void 0) { M.push("gpu-buffer"); continue; } let X = typeof r?.preferredOutputLocation == "string" ? r.preferredOutputLocation : r?.preferredOutputLocation?.[ne] ?? "cpu", J = i.webnnIsGraphOutput; if (X === "cpu" && J && J(d, ne)) { M.push("ml-tensor-cpu-output"); continue; } if (X !== "cpu" && X !== "cpu-pinned" && X !== "gpu-buffer" && X !== "ml-tensor") throw new Error(`Not supported preferred output location: ${X}.`); if (S && X !== "gpu-buffer") throw new Error(`Not supported preferred output location: ${X}. Only 'gpu-buffer' location is supported when enableGraphCapture is true.`); M.push(X); } } let Y = null; return M.some((O) => O === "gpu-buffer" || O === "ml-tensor" || O === "ml-tensor-cpu-output") && (m = i._OrtCreateBinding(d), m === 0 && $("Can't create IO binding."), Y = { handle: m, outputPreferredLocations: M, outputPreferredLocationsEncoded: M.map((O) => O === "ml-tensor-cpu-output" ? "ml-tensor" : O).map((O) => an(O)) }), it.set(d, [d, w, T, Y, S, false]), [d, C, R, H, U]; } catch (g) { throw w.forEach((v) => i._OrtFree(v)), T.forEach((v) => i._OrtFree(v)), m !== 0 && i._OrtReleaseBinding(m) !== 0 && $("Can't release IO binding."), d !== 0 && i._OrtReleaseSession(d) !== 0 && $("Can't release session."), g; } finally { i._free(s), l !== 0 && i._OrtReleaseSessionOptions(l) !== 0 && $("Can't release session options."), y.forEach((g) => i._free(g)), i.unmountExternalData?.(); } }, Zt = (a) => { let r = z(), s = it.get(a); if (!s) throw new Error(`cannot release session. invalid session id: ${a}`); let [f, i, d, l, m] = s; l && (m && r._OrtClearBoundOutputs(l.handle) !== 0 && $("Can't clear bound outputs."), r._OrtReleaseBinding(l.handle) !== 0 && $("Can't release IO binding.")), r.jsepOnReleaseSession?.(a), r.webnnOnReleaseSession?.(a), r.webgpuOnReleaseSession?.(a), i.forEach((y) => r._OrtFree(y)), d.forEach((y) => r._OrtFree(y)), r._OrtReleaseSession(f) !== 0 && $("Can't release session."), it.delete(a); }, Bs = async (a, r, s, f, i, d, l = false) => { if (!a) { r.push(0); return; } let m = z(), y = m.PTR_SIZE, w = a[0], T = a[1], g = a[3], v = g, S, C; if (w === "string" && (g === "gpu-buffer" || g === "ml-tensor")) throw new Error("String tensor is not supported on GPU."); if (l && g !== "gpu-buffer") throw new Error(`External buffer must be provided for input/output index ${d} when enableGraphCapture is true.`); if (g === "gpu-buffer") { let U = a[2].gpuBuffer; C = mt(He(w), T); { let M = m.webgpuRegisterBuffer; if (!M) throw new Error('Tensor location "gpu-buffer" is not supported without using WebGPU.'); S = M(U, f); } } else if (g === "ml-tensor") { let U = a[2].mlTensor; C = mt(He(w), T); let M = m.webnnRegisterMLTensor; if (!M) throw new Error('Tensor location "ml-tensor" is not supported without using WebNN.'); S = M(f, U, He(w), T); } else { let U = a[2]; if (Array.isArray(U)) { C = y * U.length, S = m._malloc(C), s.push(S); for (let M = 0; M < U.length; M++) { if (typeof U[M] != "string") throw new TypeError(`tensor data at index ${M} is not a string`); m.setValue(S + M * y, be(U[M], s), "*"); } } else { let M = m.webnnIsGraphInput, Y = m.webnnIsGraphOutput; if (w !== "string" && M && Y) { let O = m.UTF8ToString(i); if (M(f, O) || Y(f, O)) { let W = He(w); C = mt(W, T), v = "ml-tensor"; let oe = m.webnnCreateTemporaryTensor, p = m.webnnUploadTensor; if (!oe || !p) throw new Error('Tensor location "ml-tensor" is not supported without using WebNN.'); let ne = await oe(f, W, T); p(ne, new Uint8Array(U.buffer, U.byteOffset, U.byteLength)), S = ne; } else C = U.byteLength, S = m._malloc(C), s.push(S), m.HEAPU8.set(new Uint8Array(U.buffer, U.byteOffset, C), S); } else C = U.byteLength, S = m._malloc(C), s.push(S), m.HEAPU8.set(new Uint8Array(U.buffer, U.byteOffset, C), S); } } let R = m.stackSave(), H = m.stackAlloc(4 * T.length); try { T.forEach((M, Y) => m.setValue(H + Y * y, M, y === 4 ? "i32" : "i64")); let U = m._OrtCreateTensor(He(w), S, C, H, T.length, an(v)); U === 0 && $(`Can't create tensor for input/output. session=${f}, index=${d}.`), r.push(U); } finally { m.stackRestore(R); } }, Kt = async (a, r, s, f, i, d) => { let l = z(), m = l.PTR_SIZE, y = it.get(a); if (!y) throw new Error(`cannot run inference. invalid session id: ${a}`); let w = y[0], T = y[1], g = y[2], v = y[3], S = y[4], C = y[5], R = r.length, H = f.length, U = 0, M = [], Y = [], O = [], W = [], oe = [], p = l.stackSave(), ne = l.stackAlloc(R * m), X = l.stackAlloc(R * m), J = l.stackAlloc(H * m), Ue = l.stackAlloc(H * m); try { [U, M] = ds(d), $e("wasm prepareInputOutputTensor"); for (let _ = 0; _ < R; _++) await Bs(s[_], Y, W, a, T[r[_]], r[_], S); for (let _ = 0; _ < H; _++) await Bs(i[_], O, W, a, g[f[_]], R + f[_], S); ze("wasm prepareInputOutputTensor"); for (let _ = 0; _ < R; _++) l.setValue(ne + _ * m, Y[_], "*"), l.setValue(X + _ * m, T[r[_]], "*"); for (let _ = 0; _ < H; _++) l.setValue(J + _ * m, O[_], "*"), l.setValue(Ue + _ * m, g[f[_]], "*"); if (v && !C) { let { handle: _, outputPreferredLocations: ae, outputPreferredLocationsEncoded: me } = v; if (T.length !== R) throw new Error(`input count from feeds (${R}) is expected to be always equal to model's input count (${T.length}).`); $e("wasm bindInputsOutputs"); for (let q = 0; q < R; q++) { let we = r[q]; await l._OrtBindInput(_, T[we], Y[q]) !== 0 && $(`Can't bind input[${q}] for session=${a}.`); } for (let q = 0; q < H; q++) { let we = f[q]; i[q]?.[3] ? (oe.push(O[q]), l._OrtBindOutput(_, g[we], O[q], 0) !== 0 && $(`Can't bind pre-allocated output[${q}] for session=${a}.`)) : l._OrtBindOutput(_, g[we], 0, me[we]) !== 0 && $(`Can't bind output[${q}] to ${ae[q]} for session=${a}.`); } ze("wasm bindInputsOutputs"), it.set(a, [w, T, g, v, S, true]); } l.jsepOnRunStart?.(w), l.webnnOnRunStart?.(w); let Q; v ? Q = await l._OrtRunWithBinding(w, v.handle, H, J, U) : Q = await l._OrtRun(w, X, ne, R, Ue, H, J, U), Q !== 0 && $("failed to call OrtRun()."); let x = [], A = []; $e("wasm ProcessOutputTensor"); for (let _ = 0; _ < H; _++) { let ae = Number(l.getValue(J + _ * m, "*")); if (ae === O[_] || oe.includes(O[_])) { x.push(i[_]), ae !== O[_] && l._OrtReleaseTensor(ae) !== 0 && $("Can't release tensor."); continue; } let me = l.stackSave(), q = l.stackAlloc(4 * m), we = false, re, se = 0; try { l._OrtGetTensorData(ae, q, q + m, q + 2 * m, q + 3 * m) !== 0 && $(`Can't access output tensor data on index ${_}.`); let Te = m === 4 ? "i32" : "i64", Ye = Number(l.getValue(q, Te)); se = l.getValue(q + m, "*"); let bt = l.getValue(q + m * 2, "*"), wt = Number(l.getValue(q + m * 3, Te)), Se = []; for (let ee = 0; ee < wt; ee++) Se.push(Number(l.getValue(bt + ee * m, Te))); l._OrtFree(bt) !== 0 && $("Can't free memory for tensor dims."); let Ae = Se.reduce((ee, Z) => ee * Z, 1); re = or(Ye); let Oe = v?.outputPreferredLocations[f[_]]; if (re === "string") { if (Oe === "gpu-buffer" || Oe === "ml-tensor") throw new Error("String tensor is not supported on GPU."); let ee = []; for (let Z = 0; Z < Ae; Z++) { let G = l.getValue(se + Z * m, "*"), V = l.getValue(se + (Z + 1) * m, "*"), qe = Z === Ae - 1 ? void 0 : V - G; ee.push(l.UTF8ToString(G, qe)); } x.push([re, Se, ee, "cpu"]); } else if (Oe === "gpu-buffer" && Ae > 0) { let ee = l.webgpuGetBuffer; if (!ee) throw new Error('preferredLocation "gpu-buffer" is not supported without using WebGPU.'); let Z = ee(se), G = mt(Ye, Ae); if (G === void 0 || !ar(re)) throw new Error(`Unsupported data type: ${re}`); we = true; { l.webgpuRegisterBuffer(Z, a, se); let V = l.webgpuCreateDownloader(Z, G, a); x.push([re, Se, { gpuBuffer: Z, download: async () => { let qe = await V(); return new (at(re))(qe); }, dispose: () => { l._OrtReleaseTensor(ae) !== 0 && $("Can't release tensor."); } }, "gpu-buffer"]); } } else if (Oe === "ml-tensor" && Ae > 0) { let ee = l.webnnEnsureTensor, Z = l.webnnIsGraphInputOutputTypeSupported; if (!ee || !Z) throw new Error('preferredLocation "ml-tensor" is not supported without using WebNN.'); if (mt(Ye, Ae) === void 0 || !sr(re)) throw new Error(`Unsupported data type: ${re}`); if (!Z(a, re, false)) throw new Error(`preferredLocation "ml-tensor" for ${re} output is not supported by current WebNN Context.`); let V = await ee(a, se, Ye, Se, false); we = true, x.push([re, Se, { mlTensor: V, download: l.webnnCreateMLTensorDownloader(se, re), dispose: () => { l.webnnReleaseTensorId(se), l._OrtReleaseTensor(ae); } }, "ml-tensor"]); } else if (Oe === "ml-tensor-cpu-output" && Ae > 0) { let ee = l.webnnCreateMLTensorDownloader(se, re)(), Z = x.length; we = true, A.push((async () => { let G = [Z, await ee]; return l.webnnReleaseTensorId(se), l._OrtReleaseTensor(ae), G; })()), x.push([re, Se, [], "cpu"]); } else { let ee = at(re), Z = new ee(Ae); new Uint8Array(Z.buffer, Z.byteOffset, Z.byteLength).set(l.HEAPU8.subarray(se, se + Z.byteLength)), x.push([re, Se, Z, "cpu"]); } } finally { l.stackRestore(me), re === "string" && se && l._free(se), we || l._OrtReleaseTensor(ae); } } v && !S && (l._OrtClearBoundOutputs(v.handle) !== 0 && $("Can't clear bound outputs."), it.set(a, [w, T, g, v, S, false])); for (let [_, ae] of await Promise.all(A)) x[_][2] = ae; return ze("wasm ProcessOutputTensor"), x; } finally { l.webnnOnRunEnd?.(w), l.stackRestore(p), s.forEach((Q) => { Q && Q[3] === "gpu-buffer" && l.webgpuUnregisterBuffer(Q[2].gpuBuffer); }), i.forEach((Q) => { Q && Q[3] === "gpu-buffer" && l.webgpuUnregisterBuffer(Q[2].gpuBuffer); }), Y.forEach((Q) => l._OrtReleaseTensor(Q)), O.forEach((Q) => l._OrtReleaseTensor(Q)), W.forEach((Q) => l._free(Q)), U !== 0 && l._OrtReleaseRunOptions(U), M.forEach((Q) => l._free(Q)); } }, er = (a) => { let r = z(), s = it.get(a); if (!s) throw new Error("invalid session id"); let f = s[0], i = r._OrtEndProfiling(f); i === 0 && $("Can't get an profile file name."), r._OrtFree(i); }, tr = (a) => { let r = []; for (let s of a) { let f = s[2]; !Array.isArray(f) && "buffer" in f && r.push(f.buffer); } return r; }; }); var ut; var Ee; var Mt; var dr; var lr; var cr; var ln; var pn; var ht; var yt; var wc; var Ms; var Cs; var Us; var Ds; var Ps; var _s; var Rs; var mn = k(() => { "use strict"; Ve(); Kr(); je(); Yt(); ut = () => !!K.wasm.proxy && typeof document < "u", Mt = false, dr = false, lr = false, pn = /* @__PURE__ */ new Map(), ht = (a, r) => { let s = pn.get(a); s ? s.push(r) : pn.set(a, [r]); }, yt = () => { if (Mt || !dr || lr || !Ee) throw new Error("worker not ready"); }, wc = (a) => { switch (a.data.type) { case "init-wasm": Mt = false, a.data.err ? (lr = true, ln[1](a.data.err)) : (dr = true, ln[0]()), cr && (URL.revokeObjectURL(cr), cr = void 0); break; case "init-ep": case "copy-from": case "create": case "release": case "run": case "end-profiling": { let r = pn.get(a.data.type); a.data.err ? r.shift()[1](a.data.err) : r.shift()[0](a.data.out); break; } default: } }, Ms = async () => { if (!dr) { if (Mt) throw new Error("multiple calls to 'initWasm()' detected."); if (lr) throw new Error("previous call to 'initWasm()' failed."); if (Mt = true, ut()) return new Promise((a, r) => { Ee?.terminate(), us().then(([s, f]) => { try { Ee = f, Ee.onerror = (d) => r(d), Ee.onmessage = wc, ln = [a, r]; let i = { type: "init-wasm", in: K }; !i.in.wasm.wasmPaths && (s || tn) && (i.in.wasm.wasmPaths = { wasm: new URL("ort-wasm-simd-threaded.asyncify.wasm", import_meta3.url).href }), Ee.postMessage(i), cr = s; } catch (i) { r(i); } }, r); }); try { await qt(K.wasm), await Jt(K), dr = true; } catch (a) { throw lr = true, a; } finally { Mt = false; } } }, Cs = async (a) => { if (ut()) return yt(), new Promise((r, s) => { ht("init-ep", [r, s]); let f = { type: "init-ep", in: { epName: a, env: K } }; Ee.postMessage(f); }); await Xt(K, a); }, Us = async (a) => ut() ? (yt(), new Promise((r, s) => { ht("copy-from", [r, s]); let f = { type: "copy-from", in: { buffer: a } }; Ee.postMessage(f, [a.buffer]); })) : xt(a), Ds = async (a, r) => { if (ut()) { if (r?.preferredOutputLocation) throw new Error('session option "preferredOutputLocation" is not supported for proxy.'); return yt(), new Promise((s, f) => { ht("create", [s, f]); let i = { type: "create", in: { model: a, options: { ...r } } }, d = []; a instanceof Uint8Array && d.push(a.buffer), Ee.postMessage(i, d); }); } else return Qt(a, r); }, Ps = async (a) => { if (ut()) return yt(), new Promise((r, s) => { ht("release", [r, s]); let f = { type: "release", in: a }; Ee.postMessage(f); }); Zt(a); }, _s = async (a, r, s, f, i, d) => { if (ut()) { if (s.some((l) => l[3] !== "cpu")) throw new Error("input tensor on GPU is not supported for proxy."); if (i.some((l) => l)) throw new Error("pre-allocated output tensor is not supported for proxy."); return yt(), new Promise((l, m) => { ht("run", [l, m]); let y = s, w = { type: "run", in: { sessionId: a, inputIndices: r, inputs: y, outputIndices: f, options: d } }; Ee.postMessage(w, tr(y)); }); } else return Kt(a, r, s, f, i, d); }, Rs = async (a) => { if (ut()) return yt(), new Promise((r, s) => { ht("end-profiling", [r, s]); let f = { type: "end-profiling", in: a }; Ee.postMessage(f); }); er(a); }; }); var Ns; var gc; var pr; var ks = k(() => { "use strict"; Ve(); mn(); st(); Ht(); sn(); Ns = (a, r) => { switch (a.location) { case "cpu": return [a.type, a.dims, a.data, "cpu"]; case "gpu-buffer": return [a.type, a.dims, { gpuBuffer: a.gpuBuffer }, "gpu-buffer"]; case "ml-tensor": return [a.type, a.dims, { mlTensor: a.mlTensor }, "ml-tensor"]; default: throw new Error(`invalid data location: ${a.location} for ${r()}`); } }, gc = (a) => { switch (a[3]) { case "cpu": return new Le(a[0], a[2], a[1]); case "gpu-buffer": { let r = a[0]; if (!ar(r)) throw new Error(`not supported data type: ${r} for deserializing GPU tensor`); let { gpuBuffer: s, download: f, dispose: i } = a[2]; return Le.fromGpuBuffer(s, { dataType: r, dims: a[1], download: f, dispose: i }); } case "ml-tensor": { let r = a[0]; if (!sr(r)) throw new Error(`not supported data type: ${r} for deserializing MLTensor tensor`); let { mlTensor: s, download: f, dispose: i } = a[2]; return Le.fromMLTensor(s, { dataType: r, dims: a[1], download: f, dispose: i }); } default: throw new Error(`invalid data location: ${a[3]}`); } }, pr = class { async fetchModelAndCopyToWasmMemory(r) { return Us(await Bt(r)); } async loadModel(r, s) { tt(); let f; typeof r == "string" ? f = await this.fetchModelAndCopyToWasmMemory(r) : f = r, [this.sessionId, this.inputNames, this.outputNames, this.inputMetadata, this.outputMetadata] = await Ds(f, s), rt(); } async dispose() { return Ps(this.sessionId); } async run(r, s, f) { tt(); let i = [], d = []; Object.entries(r).forEach((v) => { let S = v[0], C = v[1], R = this.inputNames.indexOf(S); if (R === -1) throw new Error(`invalid input '${S}'`); i.push(C), d.push(R); }); let l = [], m = []; Object.entries(s).forEach((v) => { let S = v[0], C = v[1], R = this.outputNames.indexOf(S); if (R === -1) throw new Error(`invalid output '${S}'`); l.push(C), m.push(R); }); let y = i.map((v, S) => Ns(v, () => `input "${this.inputNames[d[S]]}"`)), w = l.map((v, S) => v ? Ns(v, () => `output "${this.outputNames[m[S]]}"`) : null), T = await _s(this.sessionId, d, y, m, w, f), g = {}; for (let v = 0; v < T.length; v++) g[this.outputNames[m[v]]] = l[v] ?? gc(T[v]); return rt(), g; } startProfiling() { } endProfiling() { Rs(this.sessionId); } }; }); var Fs = {}; At(Fs, { OnnxruntimeWebAssemblyBackend: () => mr, initializeFlags: () => Ws, wasmBackend: () => Tc }); var Ws; var mr; var Tc; var Gs = k(() => { "use strict"; Ve(); mn(); ks(); Ws = () => { (typeof K.wasm.initTimeout != "number" || K.wasm.initTimeout < 0) && (K.wasm.initTimeout = 0); let a = K.wasm.simd; if (typeof a != "boolean" && a !== void 0 && a !== "fixed" && a !== "relaxed" && (console.warn(`Property "env.wasm.simd" is set to unknown value "${a}". Reset it to \`false\` and ignore SIMD feature checking.`), K.wasm.simd = false), typeof K.wasm.proxy != "boolean" && (K.wasm.proxy = false), typeof K.wasm.trace != "boolean" && (K.wasm.trace = false), typeof K.wasm.numThreads != "number" || !Number.isInteger(K.wasm.numThreads) || K.wasm.numThreads <= 0) if (typeof self < "u" && !self.crossOriginIsolated) K.wasm.numThreads = 1; else { let r = typeof navigator > "u" ? Hr("node:os").cpus().length : navigator.hardwareConcurrency; K.wasm.numThreads = Math.min(4, Math.ceil((r || 1) / 2)); } }, mr = class { async init(r) { Ws(), await Ms(), await Cs(r); } async createInferenceSessionHandler(r, s) { let f = new pr(); return await f.loadModel(r, s), f; } }, Tc = new mr(); }); Ve(); Ve(); Ve(); var Ja = "1.26.0-dev.20260416-b7804b056c"; var gl = Zr; { let a = (Gs(), $t(Fs)).wasmBackend; Ke("webgpu", a, 5), Ke("webnn", a, 5), Ke("cpu", a, 10), Ke("wasm", a, 10); } Object.defineProperty(K.versions, "web", { value: Ja, enumerable: true }); async function loadAndCacheFile(url2) { const fileName = url2.split("/").pop(); let cache2; try { cache2 = await getCache(); if (cache2) { const result = await cache2.match(url2); if (result) { return result; } } } catch (error) { logger.warn(`Failed to load ${fileName} from cache:`, error); } const response = await env.fetch(url2); if (!response.ok) { throw new Error(`Failed to fetch ${fileName}: ${response.status} ${response.statusText}`); } if (cache2) { try { await cache2.put(url2, response.clone()); } catch (e) { logger.warn(`Failed to cache ${fileName}:`, e); } } return response; } async function loadWasmBinary(wasmURL) { const response = await loadAndCacheFile(wasmURL); if (!response || typeof response === "string") return null; try { return await response.arrayBuffer(); } catch (error) { logger.warn("Failed to read WASM binary:", error); return null; } } async function loadWasmFactory(libURL) { if (apis.IS_SERVICE_WORKER_ENV || apis.IS_CHROME_AVAILABLE) { return libURL; } const response = await loadAndCacheFile(libURL); if (!response || typeof response === "string") return null; try { let code = await response.text(); code = code.replaceAll("globalThis.process?.versions?.node", "false"); const blob = new Blob([code], { type: "text/javascript" }); return URL.createObjectURL(blob); } catch (error) { logger.warn("Failed to read WASM factory:", error); return null; } } var import_onnxruntime_common = require_cjs2(); var DEVICE_TO_EXECUTION_PROVIDER_MAPPING = Object.freeze({ auto: null, // Auto-detect based on device and environment gpu: null, // Auto-detect GPU cpu: "cpu", // CPU wasm: "wasm", // WebAssembly webgpu: "webgpu", // WebGPU cuda: "cuda", // CUDA dml: "dml", // DirectML coreml: "coreml", // CoreML webnn: { name: "webnn", deviceType: "cpu" }, // WebNN (default) "webnn-npu": { name: "webnn", deviceType: "npu" }, // WebNN NPU "webnn-gpu": { name: "webnn", deviceType: "gpu" }, // WebNN GPU "webnn-cpu": { name: "webnn", deviceType: "cpu" } // WebNN CPU }); function getOnnxLogSeverityLevel(logLevel2) { if (logLevel2 <= LogLevel.DEBUG) { return 0; } else if (logLevel2 <= LogLevel.INFO) { return 2; } else if (logLevel2 <= LogLevel.WARNING) { return 3; } else if (logLevel2 <= LogLevel.ERROR) { return 3; } else { return 4; } } var ONNX_LOG_LEVEL_NAMES = { 0: "verbose", 1: "info", 2: "warning", 3: "error", 4: "fatal" }; var supportedDevices = []; var defaultDevices; var ONNX; var ORT_SYMBOL = /* @__PURE__ */ Symbol.for("onnxruntime"); if (ORT_SYMBOL in globalThis) { ONNX = globalThis[ORT_SYMBOL]; } else if (apis.IS_NODE_ENV) { ONNX = ONNX_NODE; switch (process.platform) { case "win32": supportedDevices.push("dml"); break; case "linux": if (process.arch === "x64") { supportedDevices.push("cuda"); } break; case "darwin": supportedDevices.push("coreml"); break; } supportedDevices.push("webgpu"); supportedDevices.push("cpu"); defaultDevices = ["cpu"]; } else { ONNX = ort_webgpu_bundle_min_exports; if (apis.IS_WEBNN_AVAILABLE) { supportedDevices.push("webnn-npu", "webnn-gpu", "webnn-cpu", "webnn"); } if (apis.IS_WEBGPU_AVAILABLE) { supportedDevices.push("webgpu"); } supportedDevices.push("wasm"); defaultDevices = ["wasm"]; } var InferenceSession = ONNX.InferenceSession; function deviceToExecutionProviders(device = null) { if (!device) return defaultDevices; switch (device) { case "auto": return supportedDevices; case "gpu": return supportedDevices.filter((x) => ["webgpu", "cuda", "dml", "webnn-gpu"].includes(x)); } if (supportedDevices.includes(device)) { return [DEVICE_TO_EXECUTION_PROVIDER_MAPPING[device] ?? device]; } throw new Error(`Unsupported device: "${device}". Should be one of: ${supportedDevices.join(", ")}.`); } var webInitChain = Promise.resolve(); var wasmLoadPromise = null; async function ensureWasmLoaded() { if (wasmLoadPromise) { return wasmLoadPromise; } const shouldUseWasmCache = env.useWasmCache && typeof ONNX_ENV?.wasm?.wasmPaths === "object" && ONNX_ENV?.wasm?.wasmPaths?.wasm && ONNX_ENV?.wasm?.wasmPaths?.mjs; if (!shouldUseWasmCache) { if (apis.IS_DENO_WEB_RUNTIME) { throw new Error( "env.useWasmCache=false is not supported in Deno's web runtime. Remove the useWasmCache override." ); } wasmLoadPromise = Promise.resolve(); return wasmLoadPromise; } wasmLoadPromise = (async () => { const urls = ( /** @type {{ wasm: string, mjs: string }} */ ONNX_ENV.wasm.wasmPaths ); let wasmBinaryLoaded = false; await Promise.all([ // Load and cache the WASM binary urls.wasm && !isBlobURL(urls.wasm) ? (async () => { try { const wasmBinary = await loadWasmBinary(toAbsoluteURL(urls.wasm)); if (wasmBinary) { ONNX_ENV.wasm.wasmBinary = wasmBinary; wasmBinaryLoaded = true; } } catch (err) { logger.warn("Failed to pre-load WASM binary:", err); } })() : Promise.resolve(), // Load and cache the WASM factory as a blob URL urls.mjs && !isBlobURL(urls.mjs) ? (async () => { try { const wasmFactoryBlob = await loadWasmFactory(toAbsoluteURL(urls.mjs)); if (wasmFactoryBlob) { ONNX_ENV.wasm.wasmPaths.mjs = wasmFactoryBlob; } } catch (err) { logger.warn("Failed to pre-load WASM factory:", err); } })() : Promise.resolve() ]); if (!wasmBinaryLoaded) { ONNX_ENV.wasm.wasmPaths.mjs = urls.mjs; } })(); return wasmLoadPromise; } async function createInferenceSession(buffer_or_path, session_options, session_config) { await ensureWasmLoaded(); const logSeverityLevel = getOnnxLogSeverityLevel(env.logLevel ?? LogLevel.WARNING); const load = () => InferenceSession.create(buffer_or_path, { // Set default log severity level, but allow overriding through session options logSeverityLevel, ...session_options }); const session = await (apis.IS_WEB_ENV ? webInitChain = webInitChain.then(load) : load()); session.config = session_config; return session; } var webInferenceChain = Promise.resolve(); async function runInferenceSession(session, ortFeed) { const run = () => session.run(ortFeed); return apis.IS_WEB_ENV ? webInferenceChain = webInferenceChain.then(run) : run(); } function isONNXTensor(x) { return x instanceof ONNX.Tensor; } var ONNX_ENV = ONNX?.env; function isONNXProxy() { return ONNX_ENV?.wasm?.proxy; } if (ONNX_ENV) { let setLogLevel = function(logLevel2) { const severityLevel = getOnnxLogSeverityLevel(logLevel2); ONNX_ENV.logLevel = ONNX_LOG_LEVEL_NAMES[severityLevel]; }; if (ONNX_ENV.wasm) { if ( // @ts-ignore Cannot find name 'ServiceWorkerGlobalScope'.ts(2304) !(typeof ServiceWorkerGlobalScope !== "undefined" && self instanceof ServiceWorkerGlobalScope) && ONNX_ENV.versions?.web && !ONNX_ENV.wasm.wasmPaths ) { const wasmPathPrefix = `https://cdn.jsdelivr.net/npm/onnxruntime-web@${ONNX_ENV.versions.web}/dist/`; ONNX_ENV.wasm.wasmPaths = apis.IS_SAFARI ? { mjs: `${wasmPathPrefix}ort-wasm-simd-threaded.mjs`, wasm: `${wasmPathPrefix}ort-wasm-simd-threaded.wasm` } : { mjs: `${wasmPathPrefix}ort-wasm-simd-threaded.asyncify.mjs`, wasm: `${wasmPathPrefix}ort-wasm-simd-threaded.asyncify.wasm` }; } ONNX_ENV.wasm.proxy = false; } if (ONNX_ENV.webgpu) { ONNX_ENV.webgpu.powerPreference = "high-performance"; } setLogLevel(env.logLevel ?? LogLevel.WARNING); env.backends.onnx = { ...ONNX_ENV, setLogLevel }; } var wrap2 = async (session_bytes, session_options, names) => { const session = await createInferenceSession(new Uint8Array(session_bytes), session_options); return ( /** @type {any} */ async (inputs) => { const proxied = isONNXProxy(); const ortFeed = Object.fromEntries( Object.entries(inputs).map(([k2, v]) => [k2, (proxied ? v.clone() : v).ort_tensor]) ); const outputs = await runInferenceSession(session, ortFeed); if (Array.isArray(names)) { return names.map((n) => new Tensor2(outputs[n])); } else { return new Tensor2(outputs[ /** @type {string} */ names ]); } } ); }; var TensorOpRegistry = (_b = class { static get nearest_interpolate_4d() { if (!this._nearest_interpolate_4d) { this._nearest_interpolate_4d = wrap2( [ 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 ], this.session_options, "y" ); } return this._nearest_interpolate_4d; } static get bilinear_interpolate_4d() { if (!this._bilinear_interpolate_4d) { this._bilinear_interpolate_4d = wrap2( [ 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 ], this.session_options, "y" ); } return this._bilinear_interpolate_4d; } static get bicubic_interpolate_4d() { if (!this._bicubic_interpolate_4d) { this._bicubic_interpolate_4d = wrap2( [ 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 ], this.session_options, "y" ); } return this._bicubic_interpolate_4d; } static get matmul() { if (!this._matmul) { this._matmul = wrap2( [ 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 ], this.session_options, "c" ); } return this._matmul; } static get stft() { if (!this._stft) { this._stft = wrap2( [ 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 ], this.session_options, "o" ); } return this._stft; } static get rfft() { if (!this._rfft) { this._rfft = wrap2( [ 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 ], this.session_options, "y" ); } return this._rfft; } static get top_k() { if (!this._top_k) { this._top_k = wrap2( [ 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 ], this.session_options, [ /* Values */ "v", /* Indices */ "i" ] ); } return this._top_k; } static get slice() { if (!this._slice) { this._slice = wrap2( [ 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 ], this.session_options, "y" ); } return this._slice; } }, __publicField2(_b, "session_options", { // TODO: Allow for multiple execution providers // executionProviders: ['webgpu'], }), _b); var DEVICE_TYPES = Object.freeze({ auto: "auto", // Auto-detect based on device and environment gpu: "gpu", // Auto-detect GPU cpu: "cpu", // CPU wasm: "wasm", // WebAssembly webgpu: "webgpu", // WebGPU cuda: "cuda", // CUDA dml: "dml", // DirectML coreml: "coreml", // CoreML webnn: "webnn", // WebNN (default) "webnn-npu": "webnn-npu", // WebNN NPU "webnn-gpu": "webnn-gpu", // WebNN GPU "webnn-cpu": "webnn-cpu" // WebNN CPU }); var DEFAULT_DEVICE = apis.IS_NODE_ENV ? "cpu" : "wasm"; function selectDevice(deviceConfig, fileName, { warn } = {}) { if (!deviceConfig) return DEFAULT_DEVICE; if (typeof deviceConfig === "string") return deviceConfig; if (deviceConfig.hasOwnProperty(fileName)) return deviceConfig[fileName]; if (warn) { warn(`device not specified for "${fileName}". Using the default device (${DEFAULT_DEVICE}).`); } return DEFAULT_DEVICE; } var isWebGpuFp16Supported = /* @__PURE__ */ function() { let cachedResult; return async function() { if (cachedResult === void 0) { if (!apis.IS_WEBGPU_AVAILABLE) { cachedResult = false; } else { try { const adapter = await navigator.gpu.requestAdapter(); cachedResult = adapter.features.has("shader-f16"); } catch (e) { cachedResult = false; } } } return cachedResult; }; }(); var DATA_TYPES = Object.freeze({ auto: "auto", // Auto-detect based on environment fp32: "fp32", fp16: "fp16", q8: "q8", int8: "int8", uint8: "uint8", q4: "q4", bnb4: "bnb4", q4f16: "q4f16", // fp16 model with 4-bit block weight quantization q2: "q2", q2f16: "q2f16", // fp16 model with 2-bit block weight quantization q1: "q1", q1f16: "q1f16" // fp16 model with 1-bit block weight quantization }); var DEFAULT_DEVICE_DTYPE = DATA_TYPES.fp32; var DEFAULT_DEVICE_DTYPE_MAPPING = Object.freeze({ // NOTE: If not specified, will default to fp32 [DEVICE_TYPES.wasm]: DATA_TYPES.q8 }); var DEFAULT_DTYPE_SUFFIX_MAPPING = Object.freeze({ [DATA_TYPES.fp32]: "", [DATA_TYPES.fp16]: "_fp16", [DATA_TYPES.int8]: "_int8", [DATA_TYPES.uint8]: "_uint8", [DATA_TYPES.q8]: "_quantized", [DATA_TYPES.q4]: "_q4", [DATA_TYPES.q2]: "_q2", [DATA_TYPES.q1]: "_q1", [DATA_TYPES.q4f16]: "_q4f16", [DATA_TYPES.q2f16]: "_q2f16", [DATA_TYPES.q1f16]: "_q1f16", [DATA_TYPES.bnb4]: "_bnb4" }); function selectDtype(dtype, fileName, selectedDevice, { configDtype = null, warn } = {}) { let resolved; let needsWarn = false; if (dtype && typeof dtype !== "string") { if (dtype.hasOwnProperty(fileName)) { resolved = dtype[fileName]; } else { resolved = null; needsWarn = true; } } else { resolved = /** @type {string|null|undefined} */ dtype; } let result; if (resolved === DATA_TYPES.auto) { if (configDtype) { const fallback = typeof configDtype === "string" ? configDtype : configDtype?.[fileName]; if (fallback && fallback !== DATA_TYPES.auto && DATA_TYPES.hasOwnProperty(fallback)) { return ( /** @type {DataType} */ fallback ); } } result = DEFAULT_DEVICE_DTYPE_MAPPING[selectedDevice] ?? DEFAULT_DEVICE_DTYPE; } else if (resolved && DATA_TYPES.hasOwnProperty(resolved)) { result = /** @type {DataType} */ resolved; } else { result = DEFAULT_DEVICE_DTYPE_MAPPING[selectedDevice] ?? DEFAULT_DEVICE_DTYPE; } if (needsWarn && warn) { warn( `dtype not specified for "${fileName}". Using the default dtype (${result}) for this device (${selectedDevice}).` ); } return result; } var DataTypeMap = Object.freeze({ float32: Float32Array, // @ts-ignore ts(2552) Limited availability of Float16Array across browsers: // https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Float16Array float16: typeof Float16Array !== "undefined" ? Float16Array : Uint16Array, float64: Float64Array, string: Array, // string[] int8: Int8Array, uint8: Uint8Array, int16: Int16Array, uint16: Uint16Array, int32: Int32Array, uint32: Uint32Array, int64: BigInt64Array, uint64: BigUint64Array, bool: Uint8Array, uint4: Uint8Array, int4: Int8Array }); var Tensor2 = class _Tensor { /** * Dimensions of the tensor. * @type {number[]} */ get dims() { return this.ort_tensor.dims; } set dims(value) { this.ort_tensor.dims = value; } /** * Type of the tensor. * @type {DataType} */ get type() { return this.ort_tensor.type; } /** * The data stored in the tensor. * @type {DataArray} */ get data() { return this.ort_tensor.data; } /** * The number of elements in the tensor. * @type {number} */ get size() { return this.ort_tensor.size; } /** * The location of the tensor data. * @type {string} */ get location() { return this.ort_tensor.location; } ort_tensor; /** * Create a new Tensor or copy an existing Tensor. * @param {[DataType, DataArray, number[]]|[ONNXTensor]} args */ constructor(...args2) { if (isONNXTensor(args2[0])) { this.ort_tensor = /** @type {ONNXTensor} */ args2[0]; } else { this.ort_tensor = new import_onnxruntime_common.Tensor( /** @type {DataType} */ args2[0], // @ts-expect-error ts(2769) Type 'number' is not assignable to type 'bigint'. /** @type {Exclude} */ args2[1], args2[2] ); } return new Proxy(this, { get: (obj, key) => { if (typeof key === "string") { let index = Number(key); if (Number.isInteger(index)) { return obj._getitem(index); } } return obj[key]; }, set: (obj, key, value) => { return obj[key] = value; } }); } dispose() { this.ort_tensor.dispose(); } /** * Returns an iterator object for iterating over the tensor data in row-major order. * If the tensor has more than one dimension, the iterator will yield subarrays. * @returns {Iterator} An iterator object for iterating over the tensor data in row-major order. */ *[Symbol.iterator]() { const [iterLength, ...iterDims] = this.dims; if (iterDims.length > 0) { const iterSize = iterDims.reduce((a, b) => a * b); for (let i = 0; i < iterLength; ++i) { yield this._subarray(i, iterSize, iterDims); } } else { yield* this.data; } } /** * Index into a Tensor object. * @param {number} index The index to access. * @returns {Tensor} The data at the specified index. */ _getitem(index) { const [iterLength, ...iterDims] = this.dims; index = safeIndex(index, iterLength); if (iterDims.length > 0) { const iterSize = iterDims.reduce((a, b) => a * b); return this._subarray(index, iterSize, iterDims); } else { return new _Tensor(this.type, [this.data[index]], iterDims); } } /** * @param {number|bigint} item The item to search for in the tensor * @returns {number} The index of the first occurrence of item in the tensor data. */ indexOf(item) { const this_data = this.data; for (let index = 0; index < this_data.length; ++index) { if (this_data[index] == item) { return index; } } return -1; } /** * @param {number} index * @param {number} iterSize * @param {any} iterDims * @returns {Tensor} */ _subarray(index, iterSize, iterDims) { const o1 = index * iterSize; const o2 = (index + 1) * iterSize; const data = "subarray" in this.data ? this.data.subarray(o1, o2) : this.data.slice(o1, o2); return new _Tensor(this.type, data, iterDims); } /** * Returns the value of this tensor as a standard JavaScript Number. This only works * for tensors with one element. For other cases, see `Tensor.tolist()`. * @returns {number|bigint} The value of this tensor as a standard JavaScript Number. * @throws {Error} If the tensor has more than one element. */ item() { const this_data = this.data; if (this_data.length !== 1) { throw new Error(`a Tensor with ${this_data.length} elements cannot be converted to Scalar`); } return this_data[0]; } /** * Convert tensor data to a n-dimensional JS list * @returns {any[]} */ tolist() { return reshape(this.data, this.dims); } /** * Return a new Tensor with the sigmoid function applied to each element. * @returns {Tensor} The tensor with the sigmoid function applied. */ sigmoid() { return this.clone().sigmoid_(); } /** * Applies the sigmoid function to the tensor in place. * @returns {Tensor} Returns `this`. */ sigmoid_() { const this_data = this.data; for (let i = 0; i < this_data.length; ++i) { this_data[i] = 1 / (1 + Math.exp(-this_data[i])); } return this; } /** * Return a new Tensor with a callback function applied to each element. * @param {Function} callback - The function to apply to each element. It should take three arguments: * the current element, its index, and the tensor's data array. * @returns {Tensor} A new Tensor with the callback function applied to each element. */ map(callback) { return this.clone().map_(callback); } /** * Apply a callback function to each element of the tensor in place. * @param {Function} callback - The function to apply to each element. It should take three arguments: * the current element, its index, and the tensor's data array. * @returns {Tensor} Returns `this`. */ map_(callback) { const this_data = this.data; for (let i = 0; i < this_data.length; ++i) { this_data[i] = callback(this_data[i], i, this_data); } return this; } /** * Return a new Tensor with every element multiplied by a constant. * @param {number} val The value to multiply by. * @returns {Tensor} The new tensor. */ mul(val) { return this.clone().mul_(val); } /** * Multiply the tensor by a constant in place. * @param {number} val The value to multiply by. * @returns {Tensor} Returns `this`. */ mul_(val) { const this_data = this.data; for (let i = 0; i < this_data.length; ++i) { this_data[i] *= val; } return this; } /** * Return a new Tensor with every element divided by a constant. * @param {number} val The value to divide by. * @returns {Tensor} The new tensor. */ div(val) { return this.clone().div_(val); } /** * Divide the tensor by a constant in place. * @param {number} val The value to divide by. * @returns {Tensor} Returns `this`. */ div_(val) { const this_data = this.data; for (let i = 0; i < this_data.length; ++i) { this_data[i] /= val; } return this; } /** * Return a new Tensor with every element added by a constant. * @param {number} val The value to add by. * @returns {Tensor} The new tensor. */ add(val) { return this.clone().add_(val); } /** * Add the tensor by a constant in place. * @param {number} val The value to add by. * @returns {Tensor} Returns `this`. */ add_(val) { const this_data = this.data; for (let i = 0; i < this_data.length; ++i) { this_data[i] += val; } return this; } /** * Return a new Tensor with every element subtracted by a constant. * @param {number} val The value to subtract by. * @returns {Tensor} The new tensor. */ sub(val) { return this.clone().sub_(val); } /** * Subtract the tensor by a constant in place. * @param {number} val The value to subtract by. * @returns {Tensor} Returns `this`. */ sub_(val) { const this_data = this.data; for (let i = 0; i < this_data.length; ++i) { this_data[i] -= val; } return this; } /** * Creates a deep copy of the current Tensor. * @returns {Tensor} A new Tensor with the same type, data, and dimensions as the original. */ clone() { return new _Tensor(this.type, this.data.slice(), this.dims.slice()); } /** * Performs a slice operation on the Tensor along specified dimensions. * * Consider a Tensor that has a dimension of [4, 7]: * ``` * [ 1, 2, 3, 4, 5, 6, 7] * [ 8, 9, 10, 11, 12, 13, 14] * [15, 16, 17, 18, 19, 20, 21] * [22, 23, 24, 25, 26, 27, 28] * ``` * We can slice against the two dims of row and column, for instance in this * case we can start at the second element, and return to the second last, * like this: * ``` * tensor.slice([1, -1], [1, -1]); * ``` * which would return: * ``` * [ 9, 10, 11, 12, 13 ] * [ 16, 17, 18, 19, 20 ] * ``` * * @param {...(number|number[]|null)} slices The slice specifications for each dimension. * - If a number is given, then a single element is selected. * - If an array of two numbers is given, then a range of elements [start, end (exclusive)] is selected. * - If null is given, then the entire dimension is selected. * @returns {Tensor} A new Tensor containing the selected elements. * @throws {Error} If the slice input is invalid. */ slice(...slices) { const newTensorDims = []; const newOffsets = []; for (let sliceIndex = 0; sliceIndex < this.dims.length; ++sliceIndex) { let slice3 = slices[sliceIndex]; if (slice3 === null || slice3 === void 0) { newOffsets.push([0, this.dims[sliceIndex]]); newTensorDims.push(this.dims[sliceIndex]); } else if (typeof slice3 === "number") { slice3 = safeIndex(slice3, this.dims[sliceIndex], sliceIndex); newOffsets.push([slice3, slice3 + 1]); } else if (Array.isArray(slice3) && slice3.length === 2) { let [start, end] = slice3; start = start === null ? 0 : safeIndex(start, this.dims[sliceIndex], sliceIndex, false); end = end === null ? this.dims[sliceIndex] : safeIndex(end, this.dims[sliceIndex], sliceIndex, false); if (start > end) { throw new Error(`Invalid slice: ${slice3}`); } const offsets = [Math.max(start, 0), Math.min(end, this.dims[sliceIndex])]; newOffsets.push(offsets); newTensorDims.push(offsets[1] - offsets[0]); } else { throw new Error(`Invalid slice: ${slice3}`); } } const newDims = newOffsets.map(([start, end]) => end - start); const newBufferSize = newDims.reduce((a, b) => a * b); const this_data = this.data; const data = new this_data.constructor(newBufferSize); const stride = this.stride(); let isContiguous = true; for (let i = 1; i < newDims.length; ++i) { if (newOffsets[i][0] !== 0 || newOffsets[i][1] !== this.dims[i]) { isContiguous = false; break; } } if (isContiguous) { const start = newOffsets[0][0] * stride[0]; const end = newOffsets[0][1] * stride[0]; if (ArrayBuffer.isView(this_data)) { data.set(this_data.subarray(start, end)); } else if (Array.isArray(this_data)) { const slicedData = this_data.slice(start, end); for (let i = 0; i < slicedData.length; ++i) { data[i] = slicedData[i]; } } else { throw new Error("Unsupported data type for slicing"); } } else { for (let i = 0; i < newBufferSize; ++i) { let originalIndex = 0; for (let j = newDims.length - 1, num = i; j >= 0; --j) { const size = newDims[j]; originalIndex += (num % size + newOffsets[j][0]) * stride[j]; num = Math.floor(num / size); } data[i] = this_data[originalIndex]; } } return new _Tensor(this.type, data, newTensorDims); } /** * Return a permuted version of this Tensor, according to the provided dimensions. * @param {...number} dims Dimensions to permute. * @returns {Tensor} The permuted tensor. */ permute(...dims) { return permute(this, dims); } // TODO: implement transpose. For now (backwards compatibility), it's just an alias for permute() /** @type {Tensor['permute']} */ transpose(...dims) { return this.permute(...dims); } /** * Returns the sum of each row of the input tensor in the given dimension dim. * * @param {number|null} [dim=null] The dimension or dimensions to reduce. If `null`, all dimensions are reduced. * @param {boolean} keepdim Whether the output tensor has `dim` retained or not. * @returns The summed tensor */ sum(dim = null, keepdim = false) { return this.norm(1, dim, keepdim); } /** * Returns the matrix norm or vector norm of a given tensor. * @param {number|string} [p='fro'] The order of norm * @param {number|null} [dim=null] Specifies which dimension of the tensor to calculate the norm across. * If dim is None, the norm will be calculated across all dimensions of input. * @param {boolean} [keepdim=false] Whether the output tensors have dim retained or not. * @returns {Tensor} The norm of the tensor. */ norm(p = "fro", dim = null, keepdim = false) { if (p === "fro") { p = 2; } else if (typeof p === "string") { throw Error(`Unsupported norm: ${p}`); } const this_data = this.data; const is_bigint = this_data instanceof BigInt64Array || this_data instanceof BigUint64Array; if (is_bigint && p !== 1) { throw Error(`Expected a floating point tensor as input. Got ${this.type}`); } let fn22, zero; if (is_bigint) { fn22 = (a, b) => a + b; zero = 0n; } else { fn22 = (a, b) => a + b ** p; zero = 0; } if (dim === null) { let val = this_data.reduce(fn22, zero); if (p !== 1) { val = val ** (1 / p); } return new _Tensor(this.type, [val], []); } const [type, result, resultDims] = reduce_helper(fn22, this, dim, keepdim); if (p !== 1) { for (let i = 0; i < result.length; ++i) { result[i] = result[i] ** (1 / p); } } return new _Tensor(type, result, resultDims); } /** * Performs `L_p` normalization of inputs over specified dimension. Operates in place. * @param {number} [p=2] The exponent value in the norm formulation * @param {number} [dim=1] The dimension to reduce * @returns {Tensor} `this` for operation chaining. */ normalize_(p = 2, dim = 1) { dim = safeIndex(dim, this.dims.length); const norm = this.norm(p, dim, true); const this_data = this.data; const norm_data = norm.data; for (let i = 0; i < this_data.length; ++i) { let resultIndex = 0; for (let j = this.dims.length - 1, num = i, resultMultiplier = 1; j >= 0; --j) { const size = this.dims[j]; if (j !== dim) { const index = num % size; resultIndex += index * resultMultiplier; resultMultiplier *= this.dims[j]; } num = Math.floor(num / size); } this_data[i] /= norm_data[resultIndex]; } return this; } /** * Performs `L_p` normalization of inputs over specified dimension. * @param {number} [p=2] The exponent value in the norm formulation * @param {number} [dim=1] The dimension to reduce * @returns {Tensor} The normalized tensor. */ normalize(p = 2, dim = 1) { return this.clone().normalize_(p, dim); } /** * Compute and return the stride of this tensor. * Stride is the jump necessary to go from one element to the next one in the specified dimension dim. * @returns {number[]} The stride of this tensor. */ stride() { return dimsToStride(this.dims); } /** * Returns a tensor with all specified dimensions of input of size 1 removed. * * NOTE: The returned tensor shares the storage with the input tensor, so changing the contents of one will change the contents of the other. * If you would like a copy, use `tensor.clone()` before squeezing. * * @param {number|number[]|null} [dim=null] If given, the input will be squeezed only in the specified dimensions. * @returns {Tensor} The squeezed tensor */ squeeze(dim = null) { return new _Tensor(this.type, this.data, calc_squeeze_dims(this.dims, dim)); } /** * In-place version of @see {@link Tensor.squeeze} */ squeeze_(dim = null) { this.dims = calc_squeeze_dims(this.dims, dim); return this; } /** * Returns a new tensor with a dimension of size one inserted at the specified position. * * NOTE: The returned tensor shares the same underlying data with this tensor. * * @param {number} dim The index at which to insert the singleton dimension * @returns {Tensor} The unsqueezed tensor */ unsqueeze(dim) { return new _Tensor(this.type, this.data, calc_unsqueeze_dims(this.dims, dim)); } /** * In-place version of @see {@link Tensor.unsqueeze} * @type {Tensor['unsqueeze']} */ unsqueeze_(dim) { this.dims = calc_unsqueeze_dims(this.dims, dim); return this; } /** * In-place version of @see {@link Tensor.flatten} */ flatten_(start_dim = 0, end_dim = -1) { end_dim = (end_dim + this.dims.length) % this.dims.length; let dimsToKeepBefore = this.dims.slice(0, start_dim); let dimsToFlatten = this.dims.slice(start_dim, end_dim + 1); let dimsToKeepAfter = this.dims.slice(end_dim + 1); this.dims = [...dimsToKeepBefore, dimsToFlatten.reduce((a, b) => a * b, 1), ...dimsToKeepAfter]; return this; } /** * Flattens input by reshaping it into a one-dimensional tensor. * If `start_dim` or `end_dim` are passed, only dimensions starting with `start_dim` * and ending with `end_dim` are flattened. The order of elements in input is unchanged. * @param {number} start_dim the first dim to flatten * @param {number} end_dim the last dim to flatten * @returns {Tensor} The flattened tensor. */ flatten(start_dim = 0, end_dim = -1) { return this.clone().flatten_(start_dim, end_dim); } /** * Returns a new tensor with the same data as the `self` tensor but of a different `shape`. * @param {...number} dims the desired size * @returns {Tensor} The tensor with the same data but different shape */ view(...dims) { let inferredIndex = -1; for (let i = 0; i < dims.length; ++i) { if (dims[i] === -1) { if (inferredIndex !== -1) { throw new Error("Only one dimension can be inferred"); } inferredIndex = i; } } const this_data = this.data; if (inferredIndex !== -1) { const productOther = dims.reduce((product2, curr, index) => { return index !== inferredIndex ? product2 * curr : product2; }, 1); dims[inferredIndex] = this_data.length / productOther; } return new _Tensor(this.type, this_data, dims); } neg_() { const this_data = this.data; for (let i = 0; i < this_data.length; ++i) { this_data[i] = -this_data[i]; } return this; } neg() { return this.clone().neg_(); } /** * Computes input > val element-wise. * @param {number} val The value to compare with. * @returns {Tensor} A boolean tensor that is `true` where input is greater than other and `false` elsewhere. */ gt(val) { const mask = new Uint8Array(this.data.length); const this_data = this.data; for (let i = 0; i < this_data.length; ++i) { mask[i] = this_data[i] > val ? 1 : 0; } return new _Tensor("bool", mask, this.dims); } /** * Computes input < val element-wise. * @param {number} val The value to compare with. * @returns {Tensor} A boolean tensor that is `true` where input is less than other and `false` elsewhere. */ lt(val) { const mask = new Uint8Array(this.data.length); const this_data = this.data; for (let i = 0; i < this_data.length; ++i) { mask[i] = this_data[i] < val ? 1 : 0; } return new _Tensor("bool", mask, this.dims); } /** * In-place version of @see {@link Tensor.clamp} * @type {Tensor['clamp']} */ clamp_(min3, max2) { const this_data = this.data; for (let i = 0; i < this_data.length; ++i) { this_data[i] = Math.min(Math.max(this_data[i], min3), max2); } return this; } /** * Clamps all elements in input into the range [ min, max ] * @param {number} min lower-bound of the range to be clamped to * @param {number} max upper-bound of the range to be clamped to * @returns {Tensor} the output tensor. */ clamp(min3, max2) { return this.clone().clamp_(min3, max2); } /** * In-place version of @see {@link Tensor.round} */ round_() { const this_data = this.data; for (let i = 0; i < this_data.length; ++i) { this_data[i] = Math.round(this_data[i]); } return this; } /** * Rounds elements of input to the nearest integer. * @returns {Tensor} the output tensor. */ round() { return this.clone().round_(); } mean(dim = null, keepdim = false) { return mean(this, dim, keepdim); } min(dim = null, keepdim = false) { if (dim === null) { const val = min2(this.data)[0]; return new _Tensor( this.type, [val], [ /* scalar */ ] ); } const [type, result, resultDims] = reduce_helper((a, b) => Math.min(a, b), this, dim, keepdim, Infinity); return new _Tensor(type, result, resultDims); } max(dim = null, keepdim = false) { if (dim === null) { const val = max(this.data)[0]; return new _Tensor( this.type, [val], [ /* scalar */ ] ); } const [type, result, resultDims] = reduce_helper((a, b) => Math.max(a, b), this, dim, keepdim, -Infinity); return new _Tensor(type, result, resultDims); } argmin(dim = null, keepdim = false) { if (dim !== null) { throw new Error("`dim !== null` not yet implemented."); } const index = min2(this.data)[1]; return new _Tensor("int64", [BigInt(index)], []); } argmax(dim = null, keepdim = false) { if (dim !== null) { throw new Error("`dim !== null` not yet implemented."); } const index = max(this.data)[1]; return new _Tensor("int64", [BigInt(index)], []); } /** * Repeats this tensor along the specified dimensions. * @param {...number} repeats The number of times to repeat this tensor along each dimension. * @returns {Tensor} The repeated tensor. * @throws {Error} If the number of repeats is less than the number of dimensions. */ repeat(...repeats) { if (repeats.length < this.dims.length) { throw new Error( `Number of dimensions of repeat dims (${repeats.length}) cannot be smaller than number of dimensions of tensor (${this.dims.length})` ); } if (repeats.every((r) => r === 1)) { if (repeats.length === this.dims.length) { return this.clone(); } const numPrependedDims2 = repeats.length - this.dims.length; const newDims = Array(numPrependedDims2).fill(1).concat(this.dims); return new _Tensor(this.type, this.data.slice(), newDims); } const numPrependedDims = repeats.length - this.dims.length; const expandedDims = Array(numPrependedDims).fill(1).concat(this.dims); const outputDims = expandedDims.map((dim, i) => dim * repeats[i]); const outputSize = outputDims.reduce((a, b) => a * b, 1); const this_data = this.data; const data = new this_data.constructor(outputSize); const inputStrides = dimsToStride(expandedDims); const outputStrides = dimsToStride(outputDims); for (let i = 0; i < outputSize; ++i) { let remaining = i; let inputIndex = 0; for (let d = 0; d < outputDims.length; ++d) { const outputCoord = Math.floor(remaining / outputStrides[d]); remaining = remaining % outputStrides[d]; const inputCoord = outputCoord % expandedDims[d]; inputIndex += inputCoord * inputStrides[d]; } data[i] = this_data[inputIndex]; } return new _Tensor(this.type, data, outputDims); } /** * Constructs a tensor by repeating the elements of input. The dims argument specifies the number of repetitions in each dimension. * @param {...number} dims The number of repetitions per dimension. * @returns {Tensor} The tiled tensor. */ tile(...dims) { if (dims.length < this.dims.length) { const numPrependedRepeats = this.dims.length - dims.length; dims = Array(numPrependedRepeats).fill(1).concat(dims); } return this.repeat(...dims); } /** * Performs Tensor dtype conversion. * @param {DataType} type The desired data type. * @returns {Tensor} The converted tensor. */ to(type) { if (this.type === type) return this; if (!DataTypeMap.hasOwnProperty(type)) { throw new Error(`Unsupported type: ${type}`); } let map_fn; const is_source_bigint = ["int64", "uint64"].includes(this.type); const is_dest_bigint = ["int64", "uint64"].includes(type); if (is_source_bigint && !is_dest_bigint) { map_fn = Number; } else if (!is_source_bigint && is_dest_bigint) { if (["float16", "float32", "float64"].includes(this.type)) { map_fn = (x) => BigInt(Math.floor(x)); } else { map_fn = BigInt; } } else if (this.type === "float16" && type == "float32" && this.data instanceof Uint16Array) { return new _Tensor(type, uint16_to_float32(this.data), this.dims); } return new _Tensor( type, // @ts-ignore - TypeScript can't verify .from() across union of TypedArray constructors DataTypeMap[type].from(this.data, map_fn), this.dims ); } }; function reshape(data, dimensions) { const totalElements = data.length; const dimensionSize = dimensions.reduce((a, b) => a * b); if (totalElements !== dimensionSize) { throw Error(`cannot reshape array of size ${totalElements} into shape (${dimensions})`); } let reshapedArray = data; for (let i = dimensions.length - 1; i >= 0; i--) { reshapedArray = reshapedArray.reduce( (acc, val) => { let lastArray = acc[acc.length - 1]; if (lastArray.length < dimensions[i]) { lastArray.push(val); } else { acc.push([val]); } return acc; }, [[]] ); } return reshapedArray[0]; } function permute(tensor, axes) { const [permutedData, shape] = permute_data(tensor.data, tensor.dims, axes); return new Tensor2(tensor.type, permutedData, shape); } function interpolate(input, [out_height, out_width], mode = "bilinear", align_corners = false) { const in_channels = input.dims.at(-3) ?? 1; const in_height = input.dims.at(-2); const in_width = input.dims.at(-1); const output = interpolate_data( /** @type {import('./maths.js').TypedArray}*/ input.data, [in_channels, in_height, in_width], [out_height, out_width], mode, align_corners ); return new Tensor2(input.type, output, [in_channels, out_height, out_width]); } async function interpolate_4d(input, { size = null, mode = "bilinear" } = {}) { if (input.dims.length !== 4) { throw new Error("`interpolate_4d` currently only supports 4D input."); } if (!size) { throw new Error("`interpolate_4d` requires a `size` argument."); } let targetDims; if (size.length === 2) { targetDims = [...input.dims.slice(0, 2), ...size]; } else if (size.length === 3) { targetDims = [input.dims[0], ...size]; } else if (size.length === 4) { targetDims = size; } else { throw new Error("`size` must be of length 2, 3, or 4."); } let op; if (mode === "nearest") { op = await TensorOpRegistry.nearest_interpolate_4d; } else if (mode === "bilinear") { op = await TensorOpRegistry.bilinear_interpolate_4d; } else if (mode === "bicubic") { op = await TensorOpRegistry.bicubic_interpolate_4d; } else { throw new Error(`Unsupported mode: ${mode}`); } const sizeTensor = new Tensor2("int64", new BigInt64Array(targetDims.map(BigInt)), [targetDims.length]); return await op({ x: input, s: sizeTensor }); } async function matmul(a, b) { const op = await TensorOpRegistry.matmul; return await op({ a, b }); } async function rfft(x, a) { const op = await TensorOpRegistry.rfft; return await op({ x, a }); } async function topk(x, k2) { const op = await TensorOpRegistry.top_k; if (k2 == null) { k2 = x.dims.at(-1); } else { k2 = Math.min(k2, x.dims.at(-1)); } return await op({ x, k: new Tensor2("int64", [BigInt(k2)], [1]) }); } var arrayToIndexTensor = (array) => new Tensor2("int64", array, [array.length]); async function slice2(data, starts, ends, axes, steps) { const op = await TensorOpRegistry.slice; return await op({ x: data, s: arrayToIndexTensor(starts), e: arrayToIndexTensor(ends), a: arrayToIndexTensor(axes), t: arrayToIndexTensor(steps ?? new Array(axes.length).fill(1)) }); } function mean_pooling(last_hidden_state, attention_mask) { const lastHiddenStateData = last_hidden_state.data; const attentionMaskData = attention_mask.data; const shape = [last_hidden_state.dims[0], last_hidden_state.dims[2]]; const returnedData = new lastHiddenStateData.constructor(shape[0] * shape[1]); const [batchSize, seqLength, embedDim] = last_hidden_state.dims; let outIndex = 0; for (let i = 0; i < batchSize; ++i) { const offset = i * embedDim * seqLength; for (let k2 = 0; k2 < embedDim; ++k2) { let sum = 0; let count2 = 0; const attnMaskOffset = i * seqLength; const offset2 = offset + k2; for (let j = 0; j < seqLength; ++j) { const attn = Number(attentionMaskData[attnMaskOffset + j]); count2 += attn; sum += lastHiddenStateData[offset2 + j * embedDim] * attn; } const avg = sum / count2; returnedData[outIndex++] = avg; } } return new Tensor2(last_hidden_state.type, returnedData, shape); } function layer_norm(input, normalized_shape, { eps = 1e-5 } = {}) { if (input.dims.length !== 2) { throw new Error("`layer_norm` currently only supports 2D input."); } const [batchSize, featureDim] = input.dims; if (normalized_shape.length !== 1 && normalized_shape[0] !== featureDim) { throw new Error("`normalized_shape` must be a 1D array with shape `[input.dims[1]]`."); } const [std, mean2] = std_mean(input, 1, 0, true); const stdData = ( /** @type {Float32Array} */ std.data ); const meanData = ( /** @type {Float32Array} */ mean2.data ); const inputData = ( /** @type {Float32Array} */ input.data ); const returnedData = new inputData.constructor(inputData.length); for (let i = 0; i < batchSize; ++i) { const offset = i * featureDim; for (let j = 0; j < featureDim; ++j) { const offset2 = offset + j; returnedData[offset2] = (inputData[offset2] - meanData[i]) / (stdData[i] + eps); } } return new Tensor2(input.type, returnedData, input.dims); } function calc_squeeze_dims(dims, dim) { dims = dims.slice(); if (dim === null) { dims = dims.filter((d) => d !== 1); } else if (typeof dim === "number") { if (dims[dim] === 1) { dims.splice(dim, 1); } } else if (Array.isArray(dim)) { dims = dims.filter((x, i) => { return x !== 1 || !dim.includes(i); }); } return dims; } function calc_unsqueeze_dims(dims, dim) { dim = safeIndex(dim, dims.length + 1); dims = dims.slice(); dims.splice(dim, 0, 1); return dims; } function safeIndex(index, size, dimension = null, boundsCheck = true) { if (index < -size || index >= size) { if (boundsCheck) { throw new Error( `IndexError: index ${index} is out of bounds for dimension${dimension === null ? "" : " " + dimension} with size ${size}` ); } else { return index < -size ? 0 : size; } } if (index < 0) { index = (index % size + size) % size; } return index; } function cat(tensors, dim = 0) { dim = safeIndex(dim, tensors[0].dims.length); const resultDims = tensors[0].dims.slice(); resultDims[dim] = tensors.reduce((a, b) => a + b.dims[dim], 0); const resultSize = resultDims.reduce((a, b) => a * b, 1); const result = new tensors[0].data.constructor(resultSize); const resultType = tensors[0].type; if (dim === 0) { let offset = 0; for (const tensor of tensors) { const tensorData = tensor.data; result.set(tensorData, offset); offset += tensorData.length; } } else { let currentDim = 0; for (let t = 0; t < tensors.length; ++t) { const { data, dims } = tensors[t]; for (let i = 0; i < data.length; ++i) { let resultIndex = 0; for (let j = dims.length - 1, num = i, resultMultiplier = 1; j >= 0; --j) { const size = dims[j]; let index = num % size; if (j === dim) { index += currentDim; } resultIndex += index * resultMultiplier; resultMultiplier *= resultDims[j]; num = Math.floor(num / size); } result[resultIndex] = data[i]; } currentDim += dims[dim]; } } return new Tensor2(resultType, result, resultDims); } function stack2(tensors, dim = 0) { return cat( tensors.map((t) => t.unsqueeze(dim)), dim ); } function reduce_helper(callbackfn, input, dim, keepdim = false, initialValue = null) { const inputData = input.data; const inputDims = input.dims; dim = safeIndex(dim, inputDims.length); const resultDims = inputDims.slice(); resultDims[dim] = 1; const result = new inputData.constructor(inputData.length / inputDims[dim]); if (initialValue !== null) { result.fill(initialValue); } for (let i = 0; i < inputData.length; ++i) { let resultIndex = 0; for (let j = inputDims.length - 1, num = i, resultMultiplier = 1; j >= 0; --j) { const size = inputDims[j]; if (j !== dim) { const index = num % size; resultIndex += index * resultMultiplier; resultMultiplier *= resultDims[j]; } num = Math.floor(num / size); } result[resultIndex] = callbackfn(result[resultIndex], inputData[i], i, resultIndex); } if (!keepdim) resultDims.splice(dim, 1); return [input.type, result, resultDims]; } function std_mean(input, dim = null, correction = 1, keepdim = false) { const inputData = ( /** @type {Float32Array} */ input.data ); const inputDims = input.dims; if (dim === null) { const sum = inputData.reduce((a, b) => a + b, 0); const mean2 = sum / inputData.length; const std = Math.sqrt(inputData.reduce((a, b) => a + (b - mean2) ** 2, 0) / (inputData.length - correction)); const meanTensor2 = new Tensor2( input.type, [mean2], [ /* scalar */ ] ); const stdTensor2 = new Tensor2( input.type, [std], [ /* scalar */ ] ); return [stdTensor2, meanTensor2]; } dim = safeIndex(dim, inputDims.length); const meanTensor = mean(input, dim, keepdim); const meanTensorData = meanTensor.data; const [type, result, resultDims] = reduce_helper( (a, b, i, j) => a + (b - meanTensorData[j]) ** 2, input, dim, keepdim ); for (let i = 0; i < result.length; ++i) { result[i] = Math.sqrt(result[i] / (inputDims[dim] - correction)); } const stdTensor = new Tensor2(type, result, resultDims); return [stdTensor, meanTensor]; } function mean(input, dim = null, keepdim = false) { const inputDims = input.dims; const inputData = ( /** @type {Float32Array} */ input.data ); if (dim === null) { const val = inputData.reduce((a, b) => a + b, 0); return new Tensor2( input.type, [val / inputData.length], [ /* scalar */ ] ); } dim = safeIndex(dim, inputDims.length); const [type, result, resultDims] = reduce_helper((a, b) => a + b, input, dim, keepdim); if (inputDims[dim] !== 1) { for (let i = 0; i < result.length; ++i) { result[i] /= inputDims[dim]; } } return new Tensor2(type, result, resultDims); } function dimsToStride(dims) { const stride = new Array(dims.length); for (let i = dims.length - 1, s2 = 1; i >= 0; --i) { stride[i] = s2; s2 *= dims[i]; } return stride; } function fullHelper(size, fill_value, dtype, cls) { const numElements = size.reduce((a, b) => a * b, 1); return new Tensor2(dtype, new cls(numElements).fill(fill_value), size); } function full(size, fill_value) { let dtype; let typedArrayCls; if (typeof fill_value === "number") { dtype = "float32"; typedArrayCls = Float32Array; } else if (typeof fill_value === "bigint") { dtype = "int64"; typedArrayCls = BigInt64Array; } else if (typeof fill_value === "boolean") { dtype = "bool"; typedArrayCls = Uint8Array; } else { throw new Error(`Unsupported data type: ${typeof fill_value}`); } return fullHelper(size, fill_value, dtype, typedArrayCls); } function full_like(tensor, fill_value) { return full(tensor.dims, fill_value); } function ones(size) { return fullHelper(size, 1n, "int64", BigInt64Array); } function ones_like(tensor) { return ones(tensor.dims); } function zeros(size) { return fullHelper(size, 0n, "int64", BigInt64Array); } function zeros_like(tensor) { return zeros(tensor.dims); } function rand(size) { const length = size.reduce((a, b) => a * b, 1); return new Tensor2( "float32", Float32Array.from({ length }, () => random.random()), size ); } function randn(size) { const length = size.reduce((a, b) => a * b, 1); return new Tensor2( "float32", Float32Array.from({ length }, () => random.gauss()), size ); } function quantize_embeddings(tensor, precision) { if (tensor.dims.length !== 2) { throw new Error("The tensor must have 2 dimensions"); } if (tensor.dims.at(-1) % 8 !== 0) { throw new Error("The last dimension of the tensor must be a multiple of 8"); } if (!["binary", "ubinary"].includes(precision)) { throw new Error("The precision must be either 'binary' or 'ubinary'"); } const signed = precision === "binary"; const dtype = signed ? "int8" : "uint8"; const cls = signed ? Int8Array : Uint8Array; const inputData = tensor.data; const outputData = new cls(inputData.length / 8); for (let i = 0; i < inputData.length; ++i) { const bit = inputData[i] > 0 ? 1 : 0; const arrayIndex = Math.floor(i / 8); const bitPosition = i % 8; outputData[arrayIndex] |= bit << 7 - bitPosition; if (signed && bitPosition === 0) { outputData[arrayIndex] -= 128; } } return new Tensor2(dtype, outputData, [tensor.dims[0], tensor.dims[1] / 8]); } async function get_tokenizer_files(modelId) { if (!modelId) { throw new Error("modelId is required for get_tokenizer_files"); } const metadata = await get_file_metadata(modelId, "tokenizer_config.json", {}); if (metadata.exists) { return ["tokenizer.json", "tokenizer_config.json"]; } return []; } async function loadTokenizer(pretrained_model_name_or_path, options) { const tokenizerFiles = await get_tokenizer_files(pretrained_model_name_or_path); return await Promise.all( tokenizerFiles.map((file) => getModelJSON(pretrained_model_name_or_path, file, true, options)) ); } function prepareTensorForDecode(tensor) { const dims = tensor.dims; switch (dims.length) { case 1: return tensor.tolist(); case 2: if (dims[0] !== 1) { throw new Error( "Unable to decode tensor with `batch size !== 1`. Use `tokenizer.batch_decode(...)` for batched inputs." ); } return tensor.tolist()[0]; default: throw new Error(`Expected tensor to have 1-2 dimensions, got ${dims.length}.`); } } var SPECIAL_TOKEN_ATTRIBUTES = [ "bos_token", "eos_token", "unk_token", "sep_token", "pad_token", "cls_token", "mask_token" // additional_special_tokens (TODO) ]; function padHelper(item, length, value_fn, side) { for (const key of Object.keys(item)) { const diff = length - item[key].length; const value = value_fn(key); const padData = new Array(diff).fill(value); item[key] = side === "right" ? mergeArrays(item[key], padData) : mergeArrays(padData, item[key]); } } function truncateHelper(item, length) { for (const key of Object.keys(item)) { item[key].length = length; } } function getTokenFromConfig(config, ...keys) { for (const key of keys) { if (!Object.hasOwn(config, key)) continue; const item = config[key]; if (!item) continue; if (typeof item === "object") { if (item.__type === "AddedToken") { return item.content; } else { throw Error(`Unknown token: ${item}`); } } else { return item; } } return null; } function getSpecialTokens(tokenizer) { const special = []; for (const value of tokenizer.get_added_tokens_decoder().values()) { if (value.special) special.push(value); } return special; } var PreTrainedTokenizer = class extends /** @type {new (tokenizerJSON: Object, tokenizerConfig: Object) => PreTrainedTokenizerCallback} */ Callable { return_token_type_ids = false; padding_side = "right"; /** * Create a new PreTrainedTokenizer instance. * @param {Object} tokenizerJSON The JSON of the tokenizer. * @param {Object} tokenizerConfig The config of the tokenizer. */ constructor(tokenizerJSON, tokenizerConfig) { super(); this._tokenizerJSON = tokenizerJSON; this._tokenizerConfig = tokenizerConfig; this._tokenizer = new Tokenizer_default(tokenizerJSON, tokenizerConfig); this.config = tokenizerConfig; this.padding_side = tokenizerConfig.padding_side ?? this.padding_side; this.mask_token = getTokenFromConfig(tokenizerConfig, "mask_token"); this.mask_token_id = this._tokenizer.token_to_id(this.mask_token); this.pad_token = getTokenFromConfig(tokenizerConfig, "pad_token", "eos_token"); this.pad_token_id = this._tokenizer.token_to_id(this.pad_token); this.sep_token = getTokenFromConfig(tokenizerConfig, "sep_token"); this.sep_token_id = this._tokenizer.token_to_id(this.sep_token); this.unk_token = getTokenFromConfig(tokenizerConfig, "unk_token"); this.unk_token_id = this._tokenizer.token_to_id(this.unk_token); this.bos_token = getTokenFromConfig(tokenizerConfig, "bos_token"); this.bos_token_id = this._tokenizer.token_to_id(this.bos_token); this.eos_token = getTokenFromConfig(tokenizerConfig, "eos_token"); this.eos_token_id = this._tokenizer.token_to_id(this.eos_token); this.chat_template = tokenizerConfig.chat_template ?? null; if (Array.isArray(this.chat_template)) { const chat_template = /* @__PURE__ */ Object.create(null); for (const { name, template } of this.chat_template) { if (typeof name !== "string" || typeof template !== "string") { throw new Error('Chat template must be a list of objects with "name" and "template" properties'); } chat_template[name] = template; } this.chat_template = chat_template; } this._compiled_template_cache = /* @__PURE__ */ new Map(); const special_tokens = getSpecialTokens(this._tokenizer); this.all_special_ids = special_tokens.map((t) => t.id); this.all_special_tokens = special_tokens.map((t) => t.content); } /** * Loads a pre-trained tokenizer from the given `pretrained_model_name_or_path`. * * @param {string} pretrained_model_name_or_path The path to the pre-trained tokenizer. * @param {PretrainedTokenizerOptions} options Additional options for loading the tokenizer. * * @throws {Error} Throws an error if the tokenizer.json or tokenizer_config.json files are not found in the `pretrained_model_name_or_path`. * @returns {Promise} A new instance of the `PreTrainedTokenizer` class. */ static async from_pretrained(pretrained_model_name_or_path, { progress_callback = null, config = null, cache_dir = null, local_files_only = false, revision = "main" } = {}) { const info = await loadTokenizer(pretrained_model_name_or_path, { progress_callback, config, cache_dir, local_files_only, revision }); return new this(...info); } get_vocab() { return this._tokenizer.get_vocab(); } get model_max_length() { return this._tokenizerConfig.model_max_length ?? Infinity; } get add_eos_token() { return this._tokenizerConfig.add_eos_token; } get add_bos_token() { return this._tokenizerConfig.add_bos_token; } /** * Converts a token string (or a sequence of tokens) into a single integer id (or a sequence of ids), using the vocabulary. * * @template {string|string[]} T * @param {T} tokens One or several token(s) to convert to token id(s). * @returns {T extends string ? number : number[]} The token id or list of token ids. */ convert_tokens_to_ids(tokens) { if (typeof tokens === "string") { return ( /** @type {any} */ this._tokenizer.token_to_id(tokens) ); } else { return ( /** @type {any} */ tokens.map((token) => this._tokenizer.token_to_id(token)) ); } } /** * Encode/tokenize the given text(s). * @template {string|string[]} TText * @template {boolean} [TReturnTensor=true] * @param {TText} text The text to tokenize. * @param {TokenizerCallOptions} [options] Additional tokenization options. * @returns {BatchEncoding>} Object to be passed to the model. */ _call(text, options = {}) { const { text_pair = null, add_special_tokens = true, padding = false, return_token_type_ids = null } = options; let { truncation = null, max_length = null } = options; const return_tensor = ( /** @type {TReturnTensor} */ options.return_tensor ?? true ); const isBatched = Array.isArray(text); let encodedTokens; if (isBatched) { if (text.length === 0) { throw Error("text array must be non-empty"); } if (text_pair !== null) { if (!Array.isArray(text_pair)) { throw Error("text_pair must also be an array"); } else if (text.length !== text_pair.length) { throw Error("text and text_pair must have the same length"); } encodedTokens = text.map( (t, i) => this._encode_plus(t, { text_pair: text_pair[i], add_special_tokens, return_token_type_ids }) ); } else { encodedTokens = text.map((x) => this._encode_plus(x, { add_special_tokens, return_token_type_ids })); } } else { if (text === null || text === void 0) { throw Error("text may not be null or undefined"); } if (Array.isArray(text_pair)) { throw Error( "When specifying `text_pair`, since `text` is a string, `text_pair` must also be a string (i.e., not an array)." ); } encodedTokens = [this._encode_plus(text, { text_pair, add_special_tokens, return_token_type_ids })]; } if (max_length === null) { max_length = this.model_max_length; } else if (truncation === null) { if (padding === true) { logger.warn( "`max_length` is ignored when `padding: true` and there is no truncation strategy. To pad to max length, use `padding: 'max_length'`." ); max_length = this.model_max_length; } else if (padding === false) { logger.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." ); truncation = true; } } if (padding === true) { max_length = Math.min(max(encodedTokens.map((x) => x.input_ids.length))[0], max_length ?? Infinity); } max_length = Math.min(max_length, this.model_max_length ?? Infinity); if (padding || truncation) { for (let i = 0; i < encodedTokens.length; ++i) { if (encodedTokens[i].input_ids.length === max_length) { continue; } else if (encodedTokens[i].input_ids.length > max_length) { if (truncation) { truncateHelper(encodedTokens[i], max_length); } } else { if (padding) { padHelper( encodedTokens[i], max_length, (key) => key === "input_ids" ? this.pad_token_id : 0, this.padding_side ); } } } } const result = {}; if (return_tensor) { if (!(padding && truncation)) { if (encodedTokens.some((x) => { for (const key of Object.keys(x)) { if (x[key].length !== encodedTokens[0][key]?.length) { return true; } } return false; })) { throw Error( "Unable to create tensor, you should probably activate truncation and/or padding with 'padding=true' and 'truncation=true' to have batched tensors with the same length." ); } } const dims = [encodedTokens.length, encodedTokens[0].input_ids.length]; for (const key of Object.keys(encodedTokens[0])) { result[key] = new Tensor2( "int64", BigInt64Array.from(encodedTokens.flatMap((x) => x[key]).map(BigInt)), dims ); } } else { for (const key of Object.keys(encodedTokens[0])) { result[key] = encodedTokens.map((x) => x[key]); } if (!isBatched) { for (const key of Object.keys(result)) { result[key] = result[key][0]; } } } return ( /** @type {BatchEncoding>} */ result ); } /** * Encodes a single text using the preprocessor pipeline of the tokenizer. * * @param {string|null} text The text to encode. * @returns {string[]|null} The encoded tokens. */ _encode_text(text) { if (text === null) return null; return this._tokenizer.encode(text).tokens; } /** * Encodes a single text or a pair of texts using the model's tokenizer. * * @param {string} text The text to encode. * @param {Object} options An optional object containing the following properties: * @param {string|null} [options.text_pair=null] The optional second text to encode. * @param {boolean} [options.add_special_tokens=true] Whether or not to add the special tokens associated with the corresponding model. * @param {boolean|null} [options.return_token_type_ids=null] Whether to return token_type_ids. * @returns {{input_ids: number[], attention_mask: number[], token_type_ids?: number[]}} An object containing the encoded text. * @private */ _encode_plus(text, { text_pair = null, add_special_tokens = true, return_token_type_ids = null } = {}) { const { ids, attention_mask, token_type_ids } = this._tokenizer.encode(text, { text_pair, add_special_tokens, return_token_type_ids: return_token_type_ids ?? this.return_token_type_ids }); return { input_ids: ids, attention_mask, ...token_type_ids ? { token_type_ids } : {} }; } /** * Converts a string into a sequence of tokens. * @param {string} text The sequence to be encoded. * @param {Object} options An optional object containing the following properties: * @param {string|null} [options.pair] A second sequence to be encoded with the first. * @param {boolean} [options.add_special_tokens=false] Whether or not to add the special tokens associated with the corresponding model. * @returns {string[]} The list of tokens. */ tokenize(text, { pair = null, add_special_tokens = false } = {}) { return this._tokenizer.tokenize(text, { text_pair: pair, add_special_tokens }); } /** * Encodes a single text or a pair of texts using the model's tokenizer. * * @param {string} text The text to encode. * @param {Object} options An optional object containing the following properties: * @param {string|null} [options.text_pair=null] The optional second text to encode. * @param {boolean} [options.add_special_tokens=true] Whether or not to add the special tokens associated with the corresponding model. * @param {boolean|null} [options.return_token_type_ids=null] Whether to return token_type_ids. * @returns {number[]} An array of token IDs representing the encoded text(s). */ encode(text, { text_pair = null, add_special_tokens = true, return_token_type_ids = null } = {}) { return this._tokenizer.encode(text, { text_pair, add_special_tokens, return_token_type_ids }).ids; } /** * Decode a batch of tokenized sequences. * @param {number[][]|Tensor} batch List/Tensor of tokenized input sequences. * @param {Object} decode_args (Optional) Object with decoding arguments. * @returns {string[]} List of decoded sequences. */ batch_decode(batch, decode_args = {}) { if (batch instanceof Tensor2) { batch = batch.tolist(); } return batch.map((x) => this.decode(x, decode_args)); } /** * Decodes a sequence of token IDs back to a string. * * @param {number[]|bigint[]|Tensor} token_ids List/Tensor of token IDs to decode. * @param {Object} [decode_args={}] * @param {boolean} [decode_args.skip_special_tokens=false] If true, special tokens are removed from the output string. * @param {boolean} [decode_args.clean_up_tokenization_spaces=true] If true, spaces before punctuations and abbreviated forms are removed. * * @returns {string} The decoded string. * @throws {Error} If `token_ids` is not a non-empty array of integers. */ decode(token_ids, decode_args = {}) { if (token_ids instanceof Tensor2) { token_ids = prepareTensorForDecode(token_ids); } if (!Array.isArray(token_ids) || token_ids.length === 0 || !isIntegralNumber(token_ids[0])) { throw Error("token_ids must be a non-empty array of integers."); } return this.decode_single(token_ids, decode_args); } /** * Decode a single list of token ids to a string. * @param {number[]|bigint[]} token_ids List of token ids to decode * @param {Object} decode_args Optional arguments for decoding * @param {boolean} [decode_args.skip_special_tokens=false] Whether to skip special tokens during decoding * @param {boolean|null} [decode_args.clean_up_tokenization_spaces=null] Whether to clean up tokenization spaces during decoding. * 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`. * @returns {string} The decoded string */ decode_single(token_ids, { skip_special_tokens = false, clean_up_tokenization_spaces = null }) { return this._tokenizer.decode(token_ids, { skip_special_tokens, clean_up_tokenization_spaces }); } /** * Retrieve the chat template string used for tokenizing chat messages. This template is used * internally by the `apply_chat_template` method and can also be used externally to retrieve the model's chat * template for better generation tracking. * * @param {Object} options An optional object containing the following properties: * @param {string|null} [options.chat_template=null] * A Jinja template or the name of a template to use for this conversion. * It is usually not necessary to pass anything to this argument, * as the model's template will be used by default. * @param {Object[]} [options.tools=null] * A list of tools (callable functions) that will be accessible to the model. If the template does not * support function calling, this argument will have no effect. Each tool should be passed as a JSON Schema, * giving the name, description and argument types for the tool. See our * [chat templating guide](https://huggingface.co/docs/transformers/main/en/chat_templating#automated-function-conversion-for-tool-use) * for more information. * @returns {string} The chat template string. */ get_chat_template({ chat_template = null, tools = null } = {}) { if (this.chat_template && typeof this.chat_template === "object") { const template_dict = this.chat_template; if (chat_template !== null && Object.hasOwn(template_dict, chat_template)) { chat_template = template_dict[chat_template]; } else if (chat_template === null) { if (tools !== null && "tool_use" in template_dict) { chat_template = template_dict["tool_use"]; } else if ("default" in template_dict) { chat_template = template_dict["default"]; } else { throw Error( `This model has multiple chat templates with no default specified! Please either pass a chat template or the name of the template you wish to use to the 'chat_template' argument. Available template names are ${Object.keys(template_dict).sort()}.` ); } } } else if (chat_template === null) { if (this.chat_template) { chat_template = this.chat_template; } else { throw Error( "Cannot use apply_chat_template() because tokenizer.chat_template is not set and no template argument was passed! For information about writing templates and setting the tokenizer.chat_template attribute, please see the documentation at https://huggingface.co/docs/transformers/main/en/chat_templating" ); } } return chat_template; } /** * Converts a list of message objects with `"role"` and `"content"` keys to a list of token * ids. This method is intended for use with chat models, and will read the tokenizer's chat_template attribute to * determine the format and control tokens to use when converting. * * See [here](https://huggingface.co/docs/transformers/chat_templating) for more information. * * **Example:** Applying a chat template to a conversation. * * ```javascript * import { AutoTokenizer } from "@huggingface/transformers"; * * const tokenizer = await AutoTokenizer.from_pretrained("Xenova/mistral-tokenizer-v1"); * * const chat = [ * { "role": "user", "content": "Hello, how are you?" }, * { "role": "assistant", "content": "I'm doing great. How can I help you today?" }, * { "role": "user", "content": "I'd like to show off how chat templating works!" }, * ] * * const text = tokenizer.apply_chat_template(chat, { tokenize: false }); * // "[INST] Hello, how are you? [/INST]I'm doing great. How can I help you today? [INST] I'd like to show off how chat templating works! [/INST]" * * const input_ids = tokenizer.apply_chat_template(chat, { tokenize: true, return_tensor: false }); * // [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] * ``` * * @param {Message[]} conversation A list of message objects with `"role"` and `"content"` keys, * representing the chat history so far. * @template {boolean} [TTokenize=true] * @template {boolean} [TReturnTensor=true] * @template {boolean} [TReturnDict=true] * @param {Object} [options] An optional object containing the following properties: * @param {string|null} [options.chat_template=null] A Jinja template to use for this conversion. If * this is not passed, the model's chat template will be used instead. * @param {Object[]} [options.tools=null] * A list of tools (callable functions) that will be accessible to the model. If the template does not * support function calling, this argument will have no effect. Each tool should be passed as a JSON Schema, * giving the name, description and argument types for the tool. See our * [chat templating guide](https://huggingface.co/docs/transformers/main/en/chat_templating#automated-function-conversion-for-tool-use) * for more information. * @param {Record[]} [options.documents=null] * A list of dicts representing documents that will be accessible to the model if it is performing RAG * (retrieval-augmented generation). If the template does not support RAG, this argument will have no * effect. We recommend that each document should be a dict containing "title" and "text" keys. Please * see the RAG section of the [chat templating guide](https://huggingface.co/docs/transformers/main/en/chat_templating#arguments-for-RAG) * for examples of passing documents with chat templates. * @param {boolean} [options.add_generation_prompt=false] Whether to end the prompt with the token(s) that indicate * the start of an assistant message. This is useful when you want to generate a response from the model. * Note that this argument will be passed to the chat template, and so it must be supported in the * template for this argument to have any effect. * @param {TTokenize} [options.tokenize=true] Whether to tokenize the output. If false, the output will be a string. * @param {boolean} [options.padding=false] Whether to pad sequences to the maximum length. Has no effect if tokenize is false. * @param {boolean} [options.truncation=false] Whether to truncate sequences to the maximum length. Has no effect if tokenize is false. * @param {number|null} [options.max_length=null] Maximum length (in tokens) to use for padding or truncation. Has no effect if tokenize is false. * If not specified, the tokenizer's `max_length` attribute will be used as a default. * @param {TReturnTensor} [options.return_tensor=true] Whether to return the output as a Tensor or an Array. Has no effect if tokenize is false. * @param {TReturnDict} [options.return_dict=true] Whether to return a dictionary with named outputs. Has no effect if tokenize is false. * @param {Object} [options.tokenizer_kwargs={}] Additional options to pass to the tokenizer. * @returns {ApplyChatTemplateReturn} The tokenized output. */ apply_chat_template(conversation, options = ( /** @type {ApplyChatTemplateOptions} */ {} )) { let { tools = null, documents = null, chat_template = null, add_generation_prompt = false, tokenize: tokenize2 = ( /** @type {TTokenize} */ true ), padding = false, truncation = false, max_length = null, return_tensor = ( /** @type {TReturnTensor} */ true ), return_dict = ( /** @type {TReturnDict} */ true ), tokenizer_kwargs = {}, ...kwargs } = options; chat_template = this.get_chat_template({ chat_template, tools }); if (typeof chat_template !== "string") { throw Error(`chat_template must be a string, but got ${typeof chat_template}`); } let compiledTemplate = this._compiled_template_cache.get(chat_template); if (compiledTemplate === void 0) { compiledTemplate = new Template(chat_template); this._compiled_template_cache.set(chat_template, compiledTemplate); } const special_tokens_map = /* @__PURE__ */ Object.create(null); for (const key of SPECIAL_TOKEN_ATTRIBUTES) { const value = getTokenFromConfig(this.config, key); if (value) { special_tokens_map[key] = value; } } const rendered = compiledTemplate.render({ messages: conversation, add_generation_prompt, tools, documents, ...special_tokens_map, ...kwargs }); if (tokenize2) { const out = this._call(rendered, { add_special_tokens: false, padding, truncation, max_length, return_tensor, ...tokenizer_kwargs }); return ( /** @type {ApplyChatTemplateReturn} */ return_dict ? out : out.input_ids ); } return ( /** @type {ApplyChatTemplateReturn} */ rendered ); } }; function _build_translation_inputs(self2, raw_inputs, tokenizer_options, generate_kwargs) { if (!("language_codes" in self2) || !Array.isArray(self2.language_codes)) { throw new Error( "Tokenizer must have `language_codes` attribute set and it should be an array of language ids." ); } if (!("languageRegex" in self2) || !(self2.languageRegex instanceof RegExp)) { throw new Error("Tokenizer must have `languageRegex` attribute set and it should be a regular expression."); } if (!("lang_to_token" in self2) || typeof self2.lang_to_token !== "function") { throw new Error("Tokenizer must have `lang_to_token` attribute set and it should be a function."); } const src_lang_token = generate_kwargs.src_lang; const tgt_lang_token = generate_kwargs.tgt_lang; if (!self2.language_codes.includes(tgt_lang_token)) { throw new Error( `Target language code "${tgt_lang_token}" is not valid. Must be one of: {${self2.language_codes.join(", ")}}` ); } if (src_lang_token !== void 0) { if (!self2.language_codes.includes(src_lang_token)) { throw new Error( `Source language code "${src_lang_token}" is not valid. Must be one of: {${self2.language_codes.join(", ")}}` ); } for (const item of self2._tokenizer.post_processor.config.single) { if ("SpecialToken" in item && self2.languageRegex.test(item.SpecialToken.id)) { item.SpecialToken.id = self2.lang_to_token(src_lang_token); break; } } } generate_kwargs.forced_bos_token_id = self2._tokenizer.token_to_id(self2.lang_to_token(tgt_lang_token)); return self2._call(raw_inputs, tokenizer_options); } var tokenizers_exports = {}; __export3(tokenizers_exports, { AlbertTokenizer: () => AlbertTokenizer, AutoTokenizer: () => AutoTokenizer, BartTokenizer: () => BartTokenizer, BertTokenizer: () => BertTokenizer, BlenderbotSmallTokenizer: () => BlenderbotSmallTokenizer, BlenderbotTokenizer: () => BlenderbotTokenizer, BloomTokenizer: () => BloomTokenizer, CLIPTokenizer: () => CLIPTokenizer, CamembertTokenizer: () => CamembertTokenizer, CodeGenTokenizer: () => CodeGenTokenizer, CodeLlamaTokenizer: () => CodeLlamaTokenizer, CohereAsrTokenizer: () => CohereAsrTokenizer, CohereTokenizer: () => CohereTokenizer, ConvBertTokenizer: () => ConvBertTokenizer, DebertaTokenizer: () => DebertaTokenizer, DebertaV2Tokenizer: () => DebertaV2Tokenizer, DistilBertTokenizer: () => DistilBertTokenizer, ElectraTokenizer: () => ElectraTokenizer, EsmTokenizer: () => EsmTokenizer, FalconTokenizer: () => FalconTokenizer, GPT2Tokenizer: () => GPT2Tokenizer, GPTNeoXTokenizer: () => GPTNeoXTokenizer, GemmaTokenizer: () => GemmaTokenizer, HerbertTokenizer: () => HerbertTokenizer, LlamaTokenizer: () => LlamaTokenizer, M2M100Tokenizer: () => M2M100Tokenizer, MBart50Tokenizer: () => MBart50Tokenizer, MBartTokenizer: () => MBartTokenizer, MPNetTokenizer: () => MPNetTokenizer, MarianTokenizer: () => MarianTokenizer, MgpstrTokenizer: () => MgpstrTokenizer, MobileBertTokenizer: () => MobileBertTokenizer, NllbTokenizer: () => NllbTokenizer, NougatTokenizer: () => NougatTokenizer, PreTrainedTokenizer: () => PreTrainedTokenizer, Qwen2Tokenizer: () => Qwen2Tokenizer, RoFormerTokenizer: () => RoFormerTokenizer, RobertaTokenizer: () => RobertaTokenizer, SiglipTokenizer: () => SiglipTokenizer, SpeechT5Tokenizer: () => SpeechT5Tokenizer, SqueezeBertTokenizer: () => SqueezeBertTokenizer, T5Tokenizer: () => T5Tokenizer, TokenizersBackend: () => PreTrainedTokenizer, VitsTokenizer: () => VitsTokenizer, Wav2Vec2CTCTokenizer: () => Wav2Vec2CTCTokenizer, WhisperTokenizer: () => WhisperTokenizer, XLMRobertaTokenizer: () => XLMRobertaTokenizer, XLMTokenizer: () => XLMTokenizer }); var AlbertTokenizer = class extends PreTrainedTokenizer { return_token_type_ids = true; }; var BartTokenizer = class extends PreTrainedTokenizer { }; var BertTokenizer = class extends PreTrainedTokenizer { return_token_type_ids = true; }; var BlenderbotSmallTokenizer = class extends PreTrainedTokenizer { }; var BlenderbotTokenizer = class extends PreTrainedTokenizer { }; var BloomTokenizer = class extends PreTrainedTokenizer { }; var CamembertTokenizer = class extends PreTrainedTokenizer { }; var CLIPTokenizer = class extends PreTrainedTokenizer { }; var CodeLlamaTokenizer = class extends PreTrainedTokenizer { }; var CodeGenTokenizer = class extends PreTrainedTokenizer { }; var CohereTokenizer = class extends PreTrainedTokenizer { }; var CohereAsrTokenizer = class extends PreTrainedTokenizer { }; var ConvBertTokenizer = class extends PreTrainedTokenizer { return_token_type_ids = true; }; var DebertaV2Tokenizer = class extends PreTrainedTokenizer { return_token_type_ids = true; }; var DebertaTokenizer = class extends PreTrainedTokenizer { return_token_type_ids = true; }; var DistilBertTokenizer = class extends PreTrainedTokenizer { }; var ElectraTokenizer = class extends PreTrainedTokenizer { return_token_type_ids = true; }; var EsmTokenizer = class extends PreTrainedTokenizer { }; var FalconTokenizer = class extends PreTrainedTokenizer { }; var GemmaTokenizer = class extends PreTrainedTokenizer { }; var GPTNeoXTokenizer = class extends PreTrainedTokenizer { }; var GPT2Tokenizer = class extends PreTrainedTokenizer { }; var HerbertTokenizer = class extends PreTrainedTokenizer { return_token_type_ids = true; }; var LlamaTokenizer = class extends PreTrainedTokenizer { padding_side = "left"; }; var M2M100Tokenizer = class extends PreTrainedTokenizer { constructor(tokenizerJSON, tokenizerConfig) { super(tokenizerJSON, tokenizerConfig); this.languageRegex = /^__[a-z]{2,3}__$/; this.language_codes = this.all_special_tokens.filter((x) => this.languageRegex.test(x)).map((x) => x.slice(2, -2)); this.lang_to_token = (x) => `__${x}__`; } /** * Helper function to build translation inputs for an `M2M100Tokenizer`. * @param {string|string[]} raw_inputs The text to tokenize. * @param {Object} tokenizer_options Options to be sent to the tokenizer * @param {Object} generate_kwargs Generation options. * @returns {Object} Object to be passed to the model. */ _build_translation_inputs(raw_inputs, tokenizer_options, generate_kwargs) { return _build_translation_inputs(this, raw_inputs, tokenizer_options, generate_kwargs); } }; var MarianTokenizer = class extends PreTrainedTokenizer { /** * Create a new MarianTokenizer instance. * @param {Object} tokenizerJSON The JSON of the tokenizer. * @param {Object} tokenizerConfig The config of the tokenizer. */ constructor(tokenizerJSON, tokenizerConfig) { super(tokenizerJSON, tokenizerConfig); this.languageRegex = /^(>>\w+<<)\s*/g; this.supported_language_codes = Array.from(this.get_vocab().keys()).filter((x) => this.languageRegex.test(x)); logger.warn( 'WARNING: `MarianTokenizer` is not yet supported by Hugging Face\'s "fast" tokenizers library. Therefore, you may experience slightly inaccurate results.' ); } /** * Encodes a single text. Overriding this method is necessary since the language codes * must be removed before encoding with sentencepiece model. * @see https://github.com/huggingface/transformers/blob/12d51db243a00726a548a43cc333390ebae731e3/src/transformers/models/marian/tokenization_marian.py#L204-L213 * * @param {string|null} text The text to encode. * @returns {string[]|null} The encoded tokens. */ _encode_text(text) { if (text === null) return null; const [matchInfo, ...remainder] = text.trim().split(this.languageRegex); if (remainder.length === 0) { return super._encode_text(matchInfo); } else if (remainder.length === 2) { const [language, text2] = remainder; if (!this.supported_language_codes.includes(language)) { logger.warn( `Unsupported language code "${language}" detected, which may lead to unexpected behavior. Should be one of: ${JSON.stringify(this.supported_language_codes)}` ); } return mergeArrays([language], super._encode_text(text2)); } } }; var MBartTokenizer = class extends PreTrainedTokenizer { constructor(tokenizerJSON, tokenizerConfig) { super(tokenizerJSON, tokenizerConfig); this.languageRegex = /^[a-z]{2}_[A-Z]{2}$/; this.language_codes = this.all_special_tokens.filter((x) => this.languageRegex.test(x)).map((x) => x); this.lang_to_token = (x) => x; } /** * Helper function to build translation inputs for an `MBartTokenizer`. * @param {string|string[]} raw_inputs The text to tokenize. * @param {Object} tokenizer_options Options to be sent to the tokenizer * @param {Object} generate_kwargs Generation options. * @returns {Object} Object to be passed to the model. */ _build_translation_inputs(raw_inputs, tokenizer_options, generate_kwargs) { return _build_translation_inputs(this, raw_inputs, tokenizer_options, generate_kwargs); } }; var MBart50Tokenizer = class extends MBartTokenizer { }; var MgpstrTokenizer = class extends PreTrainedTokenizer { }; var MobileBertTokenizer = class extends PreTrainedTokenizer { return_token_type_ids = true; }; var MPNetTokenizer = class extends PreTrainedTokenizer { }; var NllbTokenizer = class extends PreTrainedTokenizer { constructor(tokenizerJSON, tokenizerConfig) { super(tokenizerJSON, tokenizerConfig); this.languageRegex = /^[a-z]{3}_[A-Z][a-z]{3}$/; this.language_codes = this.all_special_tokens.filter((x) => this.languageRegex.test(x)); this.lang_to_token = (x) => x; } /** * Helper function to build translation inputs for an `NllbTokenizer`. * @param {string|string[]} raw_inputs The text to tokenize. * @param {Object} tokenizer_options Options to be sent to the tokenizer * @param {Object} generate_kwargs Generation options. * @returns {Object} Object to be passed to the model. */ _build_translation_inputs(raw_inputs, tokenizer_options, generate_kwargs) { return _build_translation_inputs(this, raw_inputs, tokenizer_options, generate_kwargs); } }; var NougatTokenizer = class extends PreTrainedTokenizer { }; var Qwen2Tokenizer = class extends PreTrainedTokenizer { }; var RobertaTokenizer = class extends PreTrainedTokenizer { }; var RoFormerTokenizer = class extends PreTrainedTokenizer { return_token_type_ids = true; }; var SiglipTokenizer = class extends PreTrainedTokenizer { }; var SpeechT5Tokenizer = class extends PreTrainedTokenizer { }; var SqueezeBertTokenizer = class extends PreTrainedTokenizer { return_token_type_ids = true; }; var T5Tokenizer = class extends PreTrainedTokenizer { }; var VitsDecoder = class extends Decoder_default { /** @type {Decoder['decode_chain']} */ decode_chain(tokens) { let decoded = ""; for (let i = 1; i < tokens.length; i += 2) { decoded += tokens[i]; } return [decoded]; } }; var VitsTokenizer = class extends PreTrainedTokenizer { constructor(tokenizerJSON, tokenizerConfig) { super(tokenizerJSON, tokenizerConfig); this._tokenizer.decoder = new VitsDecoder({ type: "VitsDecoder" }); } }; var Wav2Vec2CTCTokenizer = class extends PreTrainedTokenizer { }; var WHISPER_LANGUAGES = [ ["en", "english"], ["zh", "chinese"], ["de", "german"], ["es", "spanish"], ["ru", "russian"], ["ko", "korean"], ["fr", "french"], ["ja", "japanese"], ["pt", "portuguese"], ["tr", "turkish"], ["pl", "polish"], ["ca", "catalan"], ["nl", "dutch"], ["ar", "arabic"], ["sv", "swedish"], ["it", "italian"], ["id", "indonesian"], ["hi", "hindi"], ["fi", "finnish"], ["vi", "vietnamese"], ["he", "hebrew"], ["uk", "ukrainian"], ["el", "greek"], ["ms", "malay"], ["cs", "czech"], ["ro", "romanian"], ["da", "danish"], ["hu", "hungarian"], ["ta", "tamil"], ["no", "norwegian"], ["th", "thai"], ["ur", "urdu"], ["hr", "croatian"], ["bg", "bulgarian"], ["lt", "lithuanian"], ["la", "latin"], ["mi", "maori"], ["ml", "malayalam"], ["cy", "welsh"], ["sk", "slovak"], ["te", "telugu"], ["fa", "persian"], ["lv", "latvian"], ["bn", "bengali"], ["sr", "serbian"], ["az", "azerbaijani"], ["sl", "slovenian"], ["kn", "kannada"], ["et", "estonian"], ["mk", "macedonian"], ["br", "breton"], ["eu", "basque"], ["is", "icelandic"], ["hy", "armenian"], ["ne", "nepali"], ["mn", "mongolian"], ["bs", "bosnian"], ["kk", "kazakh"], ["sq", "albanian"], ["sw", "swahili"], ["gl", "galician"], ["mr", "marathi"], ["pa", "punjabi"], ["si", "sinhala"], ["km", "khmer"], ["sn", "shona"], ["yo", "yoruba"], ["so", "somali"], ["af", "afrikaans"], ["oc", "occitan"], ["ka", "georgian"], ["be", "belarusian"], ["tg", "tajik"], ["sd", "sindhi"], ["gu", "gujarati"], ["am", "amharic"], ["yi", "yiddish"], ["lo", "lao"], ["uz", "uzbek"], ["fo", "faroese"], ["ht", "haitian creole"], ["ps", "pashto"], ["tk", "turkmen"], ["nn", "nynorsk"], ["mt", "maltese"], ["sa", "sanskrit"], ["lb", "luxembourgish"], ["my", "myanmar"], ["bo", "tibetan"], ["tl", "tagalog"], ["mg", "malagasy"], ["as", "assamese"], ["tt", "tatar"], ["haw", "hawaiian"], ["ln", "lingala"], ["ha", "hausa"], ["ba", "bashkir"], ["jw", "javanese"], ["su", "sundanese"] ]; var WHISPER_LANGUAGE_MAPPING = new Map(WHISPER_LANGUAGES); var WHISPER_TO_LANGUAGE_CODE_MAPPING = new Map([ ...WHISPER_LANGUAGES.map(([k2, v]) => [v, k2]), ...[ ["burmese", "my"], ["valencian", "ca"], ["flemish", "nl"], ["haitian", "ht"], ["letzeburgesch", "lb"], ["pushto", "ps"], ["panjabi", "pa"], ["moldavian", "ro"], ["moldovan", "ro"], ["sinhalese", "si"], ["castilian", "es"] ] ]); function whisper_language_to_code(language) { language = language.toLowerCase(); let language_code = WHISPER_TO_LANGUAGE_CODE_MAPPING.get(language); if (language_code === void 0) { const language_special_token = language.match(/^<\|([a-z]{2})\|>$/); if (language_special_token) { language = language_special_token[1]; } if (WHISPER_LANGUAGE_MAPPING.has(language)) { language_code = language; } else { const is_language_code = language.length === 2; const langs = is_language_code ? WHISPER_LANGUAGE_MAPPING.keys() : WHISPER_LANGUAGE_MAPPING.values(); throw new Error( `Language "${language}" is not supported. Must be one of: ${JSON.stringify(Array.from(langs))}` ); } } return language_code; } var PUNCTUATION_REGEX2 = "\\p{P}\\u0021-\\u002F\\u003A-\\u0040\\u005B-\\u0060\\u007B-\\u007E"; var PUNCTUATION_ONLY_REGEX = new RegExp(`^[${PUNCTUATION_REGEX2}]+$`, "gu"); var TIMESTAMP_MERGE_TOLERANCE = 0.1; var WhisperTokenizer = class extends PreTrainedTokenizer { get timestamp_begin() { return this._tokenizer.token_to_id("<|notimestamps|>") + 1; } /** * Decodes automatic speech recognition (ASR) sequences. * @param {Array<{tokens: bigint[], token_timestamps?: number[], stride: number[]}>} sequences The sequences to decode. * @param {Object} options The options to use for decoding. * @returns {Array, text: string}>}>} The decoded sequences. */ _decode_asr(sequences, { return_timestamps = false, return_language = false, time_precision = null, force_full_sequences = true } = {}) { if (time_precision === null) { throw Error("Must specify time_precision"); } let last_language = null; const returnWordTimestamps = return_timestamps === "word"; function new_chunk() { return { language: last_language, timestamp: [null, null], text: "" }; } const chunks = []; let chunk2 = new_chunk(); let time_offset = 0; const timestamp_begin = this.timestamp_begin; const total_timestamp_tokens = 1500; const timestamp_end = timestamp_begin + total_timestamp_tokens; let previous_tokens = []; let previous_token_timestamps = []; let skip = false; let right_stride_start = null; const all_special_ids = new Set(this.all_special_ids); for (const output of sequences) { const token_ids = output.tokens; const token_timestamps = returnWordTimestamps ? output.token_timestamps : null; let last_timestamp = null; let first_timestamp = timestamp_begin; if ("stride" in output) { const [chunk_len, stride_left, stride_right] = output.stride; time_offset -= stride_left; right_stride_start = chunk_len - stride_right; if (stride_left) { first_timestamp = stride_left / time_precision + timestamp_begin; } if (stride_right) { for (let i = token_ids.length - 1; i >= 0; --i) { const token = Number(token_ids[i]); if (token >= timestamp_begin) { if (last_timestamp !== null && (token - timestamp_begin) * time_precision < right_stride_start) { break; } last_timestamp = token; } } } } let current_tokens = []; let current_token_timestamps = []; for (let i = 0; i < token_ids.length; ++i) { const token = Number(token_ids[i]); if (all_special_ids.has(token)) { const text = this.decode([token]); const language = WHISPER_LANGUAGE_MAPPING.get(text.slice(2, -2)); if (language !== void 0) { if (last_language !== null && language !== last_language && !return_timestamps) { previous_tokens.push(current_tokens); const resolved_tokens = this.findLongestCommonSequence(previous_tokens)[0]; const resolved_text = this.decode(resolved_tokens); chunk2.text = resolved_text; chunks.push(chunk2); previous_tokens = []; current_tokens = []; chunk2 = new_chunk(); } last_language = chunk2.language = language; } else { } } else if (token >= timestamp_begin && token <= timestamp_end) { const time = (token - timestamp_begin) * time_precision + time_offset; const rounded_time = round(time, 2); if (last_timestamp !== null && token >= last_timestamp) { skip = true; } else if (skip || previous_tokens.length > 0 && token < first_timestamp) { skip = false; } else if (chunk2.timestamp[0] === null) { chunk2.timestamp[0] = rounded_time; } else { if (rounded_time === chunk2.timestamp[0]) { } else { chunk2.timestamp[1] = rounded_time; previous_tokens.push(current_tokens); if (returnWordTimestamps) { previous_token_timestamps.push(current_token_timestamps); } const [resolved_tokens, resolved_token_timestamps] = this.findLongestCommonSequence( previous_tokens, previous_token_timestamps ); const resolved_text = this.decode(resolved_tokens); chunk2.text = resolved_text; if (returnWordTimestamps) { chunk2.words = this.collateWordTimestamps( resolved_tokens, resolved_token_timestamps, last_language ); if (chunk2.words.length > 0 && chunk2.timestamp[1] !== null) { for (const word of chunk2.words) { if (word.timestamp[1] > chunk2.timestamp[1] && chunk2.timestamp[1] >= word.timestamp[0]) { word.timestamp[1] = chunk2.timestamp[1]; } } } } chunks.push(chunk2); previous_tokens = []; current_tokens = []; previous_token_timestamps = []; current_token_timestamps = []; chunk2 = new_chunk(); } } } else { current_tokens.push(token); if (returnWordTimestamps) { let start_time = round(token_timestamps[i] + time_offset, 2); let end_time; if (i + 1 < token_timestamps.length) { end_time = round(token_timestamps[i + 1] + time_offset, 2); const decoded_text = this.decode([token]); if (PUNCTUATION_ONLY_REGEX.test(decoded_text)) { end_time = round(Math.min(start_time + time_precision, end_time), 2); } } else { end_time = null; } current_token_timestamps.push([start_time, end_time]); } } } if ("stride" in output) { const [chunk_len, stride_left, stride_right] = output.stride; time_offset += chunk_len - stride_right; } if (current_tokens.length > 0) { previous_tokens.push(current_tokens); if (returnWordTimestamps) { previous_token_timestamps.push(current_token_timestamps); } } else if (previous_tokens.every((p) => p.length === 0)) { chunk2 = new_chunk(); previous_tokens = []; current_tokens = []; previous_token_timestamps = []; current_token_timestamps = []; } } if (previous_tokens.length > 0) { if (force_full_sequences && return_timestamps) { throw new Error( "Whisper did not predict an ending timestamp, which can happen if audio is cut off in the middle of a word. Also make sure WhisperTimeStampLogitsProcessor was used during generation." ); } const [resolved_tokens, resolved_token_timestamps] = this.findLongestCommonSequence( previous_tokens, previous_token_timestamps ); const resolved_text = this.decode(resolved_tokens); chunk2.text = resolved_text; if (returnWordTimestamps) { chunk2.words = this.collateWordTimestamps(resolved_tokens, resolved_token_timestamps, last_language); } chunks.push(chunk2); } let optional = /* @__PURE__ */ Object.create(null); const full_text = chunks.map((chunk3) => chunk3.text).join(""); if (return_timestamps || return_language) { for (let i = 0; i < chunks.length; ++i) { const chunk3 = chunks[i]; if (!return_timestamps) { delete chunk3["timestamp"]; } if (!return_language) { delete chunk3["language"]; } } if (returnWordTimestamps) { const new_chunks = []; for (const chunk3 of chunks) { for (const word of chunk3.words) { new_chunks.push(word); } } optional = { chunks: new_chunks }; } else { optional = { chunks }; } } return [full_text, optional]; } /** * Finds the longest common sequence among the provided sequences. * @param {number[][]} sequences An array of sequences of token ids to compare. * @returns {number[][]} The longest common sequence found. * @throws {Error} If there is a bug within the function. * @private */ findLongestCommonSequence(sequences, token_timestamp_sequences = null) { let leftSequence = sequences[0]; let leftLength = leftSequence.length; let totalSequence = []; const use_token_timestamp_sequences = Array.isArray(token_timestamp_sequences) && token_timestamp_sequences.length > 0; let total_token_timestamp_sequence = use_token_timestamp_sequences ? [] : null; let left_token_timestamp_sequence = use_token_timestamp_sequences ? token_timestamp_sequences[0] : null; for (let i = 1; i < sequences.length; ++i) { const rightSequence = sequences[i]; let max2 = 0; let maxIndices = [leftLength, leftLength, 0, 0]; const rightLength = rightSequence.length; for (let j = 1; j < leftLength + rightLength; ++j) { const leftStart2 = Math.max(0, leftLength - j); const leftStop2 = Math.min(leftLength, leftLength + rightLength - j); const left = leftSequence.slice(leftStart2, leftStop2); const rightStart2 = Math.max(0, j - leftLength); const rightStop2 = Math.min(rightLength, j); const right = rightSequence.slice(rightStart2, rightStop2); if (left.length !== right.length) { throw new Error( "There is a bug within whisper `decode_asr` function, please report it. Dropping to prevent bad inference." ); } let matches; if (use_token_timestamp_sequences) { matches = left.filter( (elem, idx) => elem === right[idx] && left_token_timestamp_sequence[leftStart2 + idx][0] - TIMESTAMP_MERGE_TOLERANCE <= token_timestamp_sequences[i][rightStart2 + idx][0] ).length; } else { matches = left.filter((elem, idx) => elem === right[idx]).length; } const eps = j / 1e4; const matching = matches / j + eps; if (matches > 1 && matching > max2) { max2 = matching; maxIndices = [leftStart2, leftStop2, rightStart2, rightStop2]; } } const [leftStart, leftStop, rightStart, rightStop] = maxIndices; const leftMid = Math.floor((leftStop + leftStart) / 2); let rightMid = Math.floor((rightStop + rightStart) / 2); if (use_token_timestamp_sequences && max2 === 0 && leftLength > 0) { const lastLeftTs = left_token_timestamp_sequence[leftLength - 1][0]; const idx = token_timestamp_sequences[i].findIndex((ts2) => ts2[0] >= lastLeftTs); rightMid = idx === -1 ? rightSequence.length : idx; } totalSequence.push(...leftSequence.slice(0, leftMid)); leftSequence = rightSequence.slice(rightMid); leftLength = leftSequence.length; if (use_token_timestamp_sequences) { total_token_timestamp_sequence.push(...left_token_timestamp_sequence.slice(0, leftMid)); left_token_timestamp_sequence = token_timestamp_sequences[i].slice(rightMid); } } totalSequence.push(...leftSequence); if (use_token_timestamp_sequences) { total_token_timestamp_sequence.push(...left_token_timestamp_sequence); return [totalSequence, total_token_timestamp_sequence]; } else { return [totalSequence, []]; } } /** @private */ collateWordTimestamps(tokens, token_timestamps, language) { const [words, _, token_indices] = this.combineTokensIntoWords(tokens, language); const timings = []; for (let i = 0; i < words.length; ++i) { const indices = token_indices[i]; timings.push({ text: words[i], timestamp: [token_timestamps[indices.at(0)][0], token_timestamps[indices.at(-1)][1]] }); } return timings; } /** * Groups tokens by word. Returns a tuple containing a list of strings with the words, * and a list of `token_id` sequences with the tokens making up each word. * @param {number[]} tokens * @param {string} [language] * @param {string} prepend_punctionations * @param {string} append_punctuations * * @private */ combineTokensIntoWords(tokens, language, prepend_punctionations = `"'\u201C\xA1\xBF([{-`, append_punctuations = `"'.\u3002,\uFF0C!\uFF01?\uFF1F:\uFF1A\u201D)]}\u3001`) { language = language ?? "english"; let words, word_tokens, token_indices; if (["chinese", "japanese", "thai", "lao", "myanmar"].includes(language)) { [words, word_tokens, token_indices] = this.splitTokensOnUnicode(tokens); } else { [words, word_tokens, token_indices] = this.splitTokensOnSpaces(tokens); } return this.mergePunctuations(words, word_tokens, token_indices, prepend_punctionations, append_punctuations); } /** @type {PreTrainedTokenizer['decode']} */ decode(token_ids, decode_args) { let text; if (decode_args?.decode_with_timestamps) { if (token_ids instanceof Tensor2) { token_ids = prepareTensorForDecode(token_ids); } text = this.decodeWithTimestamps(token_ids, decode_args); } else { text = super.decode(token_ids, decode_args); } return text; } /** * @param {number[]|bigint[]} token_ids List of token IDs to decode. * @param {Object} decode_args Optional arguments for decoding * @private */ decodeWithTimestamps(token_ids, decode_args) { const time_precision = decode_args?.time_precision ?? 0.02; const timestamp_begin = this.all_special_ids.at(-1) + 1; let outputs = [[]]; for (let token of token_ids) { token = Number(token); if (token >= timestamp_begin) { const timestamp = ((token - timestamp_begin) * time_precision).toFixed(2); outputs.push(`<|${timestamp}|>`); outputs.push([]); } else { outputs[outputs.length - 1].push(token); } } outputs = outputs.map((s) => typeof s === "string" ? s : super.decode(s, decode_args)); return outputs.join(""); } /** * Combine tokens into words by splitting at any position where the tokens are decoded as valid unicode points. * @param {number[]} tokens * @returns {*} * @private */ splitTokensOnUnicode(tokens) { const decoded_full = this.decode(tokens, { // @ts-ignore decode_with_timestamps: true }); const replacement_char = "\uFFFD"; const words = []; const word_tokens = []; const token_indices = []; let current_tokens = []; let current_indices = []; let unicode_offset = 0; for (let token_idx = 0; token_idx < tokens.length; ++token_idx) { const token = tokens[token_idx]; current_tokens.push(token); current_indices.push(token_idx); const decoded = this.decode(current_tokens, { // @ts-ignore decode_with_timestamps: true }); if (!decoded.includes(replacement_char) || decoded_full[unicode_offset + decoded.indexOf(replacement_char)] === replacement_char) { words.push(decoded); word_tokens.push(current_tokens); token_indices.push(current_indices); current_tokens = []; current_indices = []; unicode_offset += decoded.length; } } return [words, word_tokens, token_indices]; } /** * Combine tokens into words by splitting at whitespace and punctuation tokens. * @param {number[]} tokens * @private */ splitTokensOnSpaces(tokens) { const [subwords, subword_tokens_list, subword_indices_list] = this.splitTokensOnUnicode(tokens); const words = []; const word_tokens = []; const token_indices = []; for (let i = 0; i < subwords.length; ++i) { const subword = subwords[i]; const subword_tokens = subword_tokens_list[i]; const subword_indices = subword_indices_list[i]; const special = subword_tokens[0] >= this._tokenizer.token_to_id("<|endoftext|>"); const with_space = subword.startsWith(" "); const trimmed = subword.trim(); const punctuation = PUNCTUATION_ONLY_REGEX.test(trimmed); if (special || with_space || punctuation || words.length === 0) { words.push(subword); word_tokens.push(subword_tokens); token_indices.push(subword_indices); } else { const ix = words.length - 1; words[ix] += subword; word_tokens[ix].push(...subword_tokens); token_indices[ix].push(...subword_indices); } } return [words, word_tokens, token_indices]; } /** * Merges punctuation tokens with neighboring words. * @param {string[]} words * @param {number[][]} tokens * @param {number[][]} indices * @param {string} prepended * @param {string} appended * @private */ mergePunctuations(words, tokens, indices, prepended, appended) { const newWords = structuredClone(words); const newTokens = structuredClone(tokens); const newIndices = structuredClone(indices); let i = newWords.length - 2; let j = newWords.length - 1; while (i >= 0) { if (newWords[i].startsWith(" ") && prepended.includes(newWords[i].trim())) { newWords[j] = newWords[i] + newWords[j]; newTokens[j] = mergeArrays(newTokens[i], newTokens[j]); newIndices[j] = mergeArrays(newIndices[i], newIndices[j]); newWords[i] = ""; newTokens[i] = []; newIndices[i] = []; } else { j = i; } --i; } i = 0; j = 1; while (j < newWords.length) { if (!newWords[i].endsWith(" ") && appended.includes(newWords[j])) { newWords[i] += newWords[j]; newTokens[i] = mergeArrays(newTokens[i], newTokens[j]); newIndices[i] = mergeArrays(newIndices[i], newIndices[j]); newWords[j] = ""; newTokens[j] = []; newIndices[j] = []; } else { i = j; } ++j; } return [ newWords.filter((x) => x), newTokens.filter((x) => x.length > 0), newIndices.filter((x) => x.length > 0) ]; } }; var XLMRobertaTokenizer = class extends PreTrainedTokenizer { }; var XLMTokenizer = class extends PreTrainedTokenizer { return_token_type_ids = true; constructor(tokenizerJSON, tokenizerConfig) { super(tokenizerJSON, tokenizerConfig); logger.warn( 'WARNING: `XLMTokenizer` is not yet supported by Hugging Face\'s "fast" tokenizers library. Therefore, you may experience slightly inaccurate results.' ); } }; var AutoTokenizer = class { /** * Instantiate one of the tokenizer classes of the library from a pretrained model. * * The tokenizer class to instantiate is selected based on the `tokenizer_class` property of the config object * (either passed as an argument or loaded from `pretrained_model_name_or_path` if possible) * * @param {string} pretrained_model_name_or_path The name or path of the pretrained model. Can be either: * - A string, the *model id* of a pretrained tokenizer hosted inside a model repo on huggingface.co. * Valid model ids can be located at the root-level, like `bert-base-uncased`, or namespaced under a * user or organization name, like `dbmdz/bert-base-german-cased`. * - A path to a *directory* containing tokenizer files, e.g., `./my_model_directory/`. * @param {import('../../tokenization_utils.js').PretrainedTokenizerOptions} options Additional options for loading the tokenizer. * * @returns {Promise} A new instance of the PreTrainedTokenizer class. */ static async from_pretrained(pretrained_model_name_or_path, { progress_callback = null, config = null, cache_dir = null, local_files_only = false, revision = "main" } = {}) { const [tokenizerJSON, tokenizerConfig] = await loadTokenizer(pretrained_model_name_or_path, { progress_callback, config, cache_dir, local_files_only, revision }); const tokenizerName = tokenizerConfig.tokenizer_class?.replace(/Fast$/, "") ?? "PreTrainedTokenizer"; let cls = tokenizers_exports[tokenizerName]; if (!cls) { logger.warn(`Unknown tokenizer class "${tokenizerName}", attempting to construct from base class.`); cls = PreTrainedTokenizer; } return new cls(tokenizerJSON, tokenizerConfig); } }; var GITHUB_ISSUE_URL = "https://github.com/huggingface/transformers.js/issues/new/choose"; var FEATURE_EXTRACTOR_NAME = "preprocessor_config.json"; var IMAGE_PROCESSOR_NAME = FEATURE_EXTRACTOR_NAME; var PROCESSOR_NAME = "processor_config.json"; var CHAT_TEMPLATE_NAME = "chat_template.jinja"; var Processor = (_c = class extends Callable { /** * Creates a new Processor with the given components * @param {Object} config * @param {Record} components * @param {string} chat_template */ constructor(config, components, chat_template) { super(); this.config = config; this.components = components; this.chat_template = chat_template; } /** * @returns {import('./image_processors_utils.js').ImageProcessor|undefined} The image processor of the processor, if it exists. */ get image_processor() { return this.components.image_processor; } /** * @returns {PreTrainedTokenizer|undefined} The tokenizer of the processor, if it exists. */ get tokenizer() { return this.components.tokenizer; } /** * @returns {import('./feature_extraction_utils.js').FeatureExtractor|undefined} The feature extractor of the processor, if it exists. */ get feature_extractor() { return this.components.feature_extractor; } /** * @param {Parameters[0]} messages * @param {Parameters[1]} options * @returns {ReturnType} */ apply_chat_template(messages, options = {}) { if (!this.tokenizer) { throw new Error("Unable to apply chat template without a tokenizer."); } return this.tokenizer.apply_chat_template(messages, { tokenize: false, // default to false chat_template: this.chat_template ?? void 0, ...options }); } /** * @param {Parameters} args * @returns {ReturnType} */ batch_decode(...args2) { if (!this.tokenizer) { throw new Error("Unable to decode without a tokenizer."); } return this.tokenizer.batch_decode(...args2); } /** * @param {Parameters} args * @returns {ReturnType} */ decode(...args2) { if (!this.tokenizer) { throw new Error("Unable to decode without a tokenizer."); } return this.tokenizer.decode(...args2); } /** * Calls the feature_extractor function with the given input. * @param {any} input The input to extract features from. * @param {...any} args Additional arguments. * @returns {Promise} A Promise that resolves with the extracted features. */ async _call(input, ...args2) { for (const item of [this.image_processor, this.feature_extractor, this.tokenizer]) { if (item) { return item(input, ...args2); } } throw new Error("No image processor, feature extractor, or tokenizer found."); } /** * Instantiate one of the processor classes of the library from a pretrained model. * * The processor class to instantiate is selected based on the `image_processor_type` (or `feature_extractor_type`; legacy) * property of the config object (either passed as an argument or loaded from `pretrained_model_name_or_path` if possible) * * @param {string} pretrained_model_name_or_path The name or path of the pretrained model. Can be either: * - A string, the *model id* of a pretrained processor hosted inside a model repo on huggingface.co. * Valid model ids can be located at the root-level, like `bert-base-uncased`, or namespaced under a * user or organization name, like `dbmdz/bert-base-german-cased`. * - A path to a *directory* containing processor files, e.g., `./my_model_directory/`. * @param {PretrainedProcessorOptions} options Additional options for loading the processor. * * @returns {Promise} A new instance of the Processor class. */ static async from_pretrained(pretrained_model_name_or_path, options = {}) { const [config, components, chat_template] = await Promise.all([ // TODO: this.uses_processor_config ? getModelJSON(pretrained_model_name_or_path, PROCESSOR_NAME, true, options) : {}, Promise.all( this.classes.filter((cls) => cls in this).map(async (cls) => { const component = await this[cls].from_pretrained(pretrained_model_name_or_path, options); return [cls.replace(/_class$/, ""), component]; }) ).then(Object.fromEntries), this.uses_chat_template_file ? getModelText(pretrained_model_name_or_path, CHAT_TEMPLATE_NAME, true, options) : null ]); return new this(config, components, chat_template); } }, __publicField2(_c, "classes", ["image_processor_class", "tokenizer_class", "feature_extractor_class"]), __publicField2(_c, "uses_processor_config", false), __publicField2(_c, "uses_chat_template_file", false), _c); var processors_exports = {}; __export3(processors_exports, { ChatterboxProcessor: () => ChatterboxProcessor, CohereAsrProcessor: () => CohereAsrProcessor, Florence2Processor: () => Florence2Processor, Gemma3Processor: () => Gemma3Processor, Gemma3nProcessor: () => Gemma3nProcessor, Gemma4Processor: () => Gemma4Processor, Glm46VProcessor: () => Glm46VProcessor, GraniteSpeechProcessor: () => GraniteSpeechProcessor, GroundingDinoProcessor: () => GroundingDinoProcessor, Idefics3Processor: () => Idefics3Processor, JinaCLIPProcessor: () => JinaCLIPProcessor, Lfm2VlProcessor: () => Lfm2VlProcessor, LlavaProcessor: () => LlavaProcessor, MgpstrProcessor: () => MgpstrProcessor, MoonshineProcessor: () => MoonshineProcessor, OwlViTProcessor: () => OwlViTProcessor, PaliGemmaProcessor: () => PaliGemmaProcessor, Phi3VProcessor: () => Phi3VProcessor, PixtralProcessor: () => PixtralProcessor, Processor: () => Processor, PyAnnoteProcessor: () => PyAnnoteProcessor, Qwen2VLProcessor: () => Qwen2VLProcessor, Qwen2_5_VLProcessor: () => Qwen2_5_VLProcessor, Qwen3VLProcessor: () => Qwen3VLProcessor, Sam2Processor: () => Sam2Processor, Sam2VideoProcessor: () => Sam2VideoProcessor, SamProcessor: () => SamProcessor, SmolVLMProcessor: () => Idefics3Processor, SpeechT5Processor: () => SpeechT5Processor, UltravoxProcessor: () => UltravoxProcessor, VLChatProcessor: () => VLChatProcessor, VoxtralProcessor: () => VoxtralProcessor, VoxtralRealtimeProcessor: () => VoxtralRealtimeProcessor, Wav2Vec2Processor: () => Wav2Vec2Processor, Wav2Vec2ProcessorWithLM: () => Wav2Vec2ProcessorWithLM, WhisperProcessor: () => WhisperProcessor }); var FeatureExtractor = class extends Callable { /** * Constructs a new FeatureExtractor instance. * * @param {Object} config The configuration for the feature extractor. */ constructor(config) { super(); this.config = config; } /** * Instantiate one of the feature extractor classes of the library from a pretrained model. * * The feature extractor class to instantiate is selected based on the `feature_extractor_type` property of * the config object (either passed as an argument or loaded from `pretrained_model_name_or_path` if possible) * * @param {string} pretrained_model_name_or_path The name or path of the pretrained model. Can be either: * - A string, the *model id* of a pretrained feature_extractor hosted inside a model repo on huggingface.co. * Valid model ids can be located at the root-level, like `bert-base-uncased`, or namespaced under a * user or organization name, like `dbmdz/bert-base-german-cased`. * - A path to a *directory* containing feature_extractor files, e.g., `./my_model_directory/`. * @param {import('./utils/hub.js').PretrainedOptions} options Additional options for loading the feature_extractor. * * @returns {Promise} A new instance of the Feature Extractor class. */ static async from_pretrained(pretrained_model_name_or_path, options = {}) { const config = await getModelJSON(pretrained_model_name_or_path, FEATURE_EXTRACTOR_NAME, true, options); return new this(config); } }; function validate_audio_inputs(audio, feature_extractor) { if (!(audio instanceof Float32Array || audio instanceof Float64Array)) { throw new Error( `${feature_extractor} expects input to be a Float32Array or a Float64Array, but got ${audio?.constructor?.name ?? typeof audio} instead. If using the feature extractor directly, remember to use \`read_audio(url, sampling_rate)\` to obtain the raw audio data of the file/url.` ); } } var feature_extractors_exports = {}; __export3(feature_extractors_exports, { ASTFeatureExtractor: () => ASTFeatureExtractor, ChatterboxFeatureExtractor: () => ChatterboxFeatureExtractor, ClapFeatureExtractor: () => ClapFeatureExtractor, CohereAsrFeatureExtractor: () => CohereAsrFeatureExtractor, DacFeatureExtractor: () => DacFeatureExtractor, EncodecFeatureExtractor: () => EncodecFeatureExtractor, FeatureExtractor: () => FeatureExtractor, Gemma3nAudioFeatureExtractor: () => Gemma3nAudioFeatureExtractor, Gemma4AudioFeatureExtractor: () => Gemma4AudioFeatureExtractor, GraniteSpeechFeatureExtractor: () => GraniteSpeechFeatureExtractor, MoonshineFeatureExtractor: () => MoonshineFeatureExtractor, ParakeetFeatureExtractor: () => ParakeetFeatureExtractor, PyAnnoteFeatureExtractor: () => PyAnnoteFeatureExtractor, SeamlessM4TFeatureExtractor: () => SeamlessM4TFeatureExtractor, SnacFeatureExtractor: () => SnacFeatureExtractor, SpeechT5FeatureExtractor: () => SpeechT5FeatureExtractor, VoxtralRealtimeFeatureExtractor: () => VoxtralRealtimeFeatureExtractor, Wav2Vec2FeatureExtractor: () => Wav2Vec2FeatureExtractor, WeSpeakerFeatureExtractor: () => WeSpeakerFeatureExtractor, WhisperFeatureExtractor: () => WhisperFeatureExtractor }); var import_node_fs4 = __toESM2(require("fs"), 1); var import_node_stream = require("stream"); var import_promises = require("stream/promises"); async function saveBlob(path3, blob) { if (apis.IS_BROWSER_ENV) { if (apis.IS_WEBWORKER_ENV) { throw new Error("Unable to save a file from a Web Worker."); } const dataURL = URL.createObjectURL(blob); const downloadLink = document.createElement("a"); downloadLink.href = dataURL; downloadLink.download = path3; downloadLink.click(); downloadLink.remove(); URL.revokeObjectURL(dataURL); } else if (apis.IS_FS_AVAILABLE) { const webStream = blob.stream(); const nodeStream = import_node_stream.Readable.fromWeb(webStream); const fileStream = import_node_fs4.default.createWriteStream(path3); await (0, import_promises.pipeline)(nodeStream, fileStream); } else { throw new Error("Unable to save because filesystem is disabled in this environment."); } } async function load_audio(url2, sampling_rate) { if (typeof AudioContext === "undefined") { throw Error( "Unable to load audio from path/URL since `AudioContext` is not available in your environment. Instead, audio data should be passed directly to the pipeline/processor. For more information and some example code, see https://huggingface.co/docs/transformers.js/guides/node-audio-processing." ); } const response = await (await getFile(url2)).arrayBuffer(); const audioCTX = new AudioContext({ sampleRate: sampling_rate }); if (typeof sampling_rate === "undefined") { logger.warn(`No sampling rate provided, using default of ${audioCTX.sampleRate}Hz.`); } const decoded = await audioCTX.decodeAudioData(response); let audio; if (decoded.numberOfChannels === 2) { const SCALING_FACTOR = Math.sqrt(2); const left = decoded.getChannelData(0); const right = decoded.getChannelData(1); audio = new Float32Array(left.length); for (let i = 0; i < decoded.length; ++i) { audio[i] = SCALING_FACTOR * (left[i] + right[i]) / 2; } } else { audio = decoded.getChannelData(0); } return audio; } var read_audio = load_audio; function generalized_cosine_window(M, a_0) { if (M < 1) { return new Float64Array(); } if (M === 1) { return new Float64Array([1]); } const a_1 = 1 - a_0; const factor = 2 * Math.PI / (M - 1); const cos_vals = new Float64Array(M); for (let i = 0; i < M; ++i) { cos_vals[i] = a_0 - a_1 * Math.cos(i * factor); } return cos_vals; } function hanning(M) { return generalized_cosine_window(M, 0.5); } function hamming(M) { return generalized_cosine_window(M, 0.54); } var HERTZ_TO_MEL_MAPPING = { htk: (freq) => 2595 * Math.log10(1 + freq / 700), kaldi: (freq) => 1127 * Math.log(1 + freq / 700), slaney: (freq, min_log_hertz = 1e3, min_log_mel = 15, logstep = 27 / Math.log(6.4)) => freq >= min_log_hertz ? min_log_mel + Math.log(freq / min_log_hertz) * logstep : 3 * freq / 200 }; function hertz_to_mel(freq, mel_scale = "htk") { const fn22 = HERTZ_TO_MEL_MAPPING[mel_scale]; if (!fn22) { throw new Error('mel_scale should be one of "htk", "slaney" or "kaldi".'); } return typeof freq === "number" ? fn22(freq) : freq.map((x) => fn22(x)); } var MEL_TO_HERTZ_MAPPING = { htk: (mels) => 700 * (10 ** (mels / 2595) - 1), kaldi: (mels) => 700 * (Math.exp(mels / 1127) - 1), slaney: (mels, min_log_hertz = 1e3, min_log_mel = 15, logstep = Math.log(6.4) / 27) => mels >= min_log_mel ? min_log_hertz * Math.exp(logstep * (mels - min_log_mel)) : 200 * mels / 3 }; function mel_to_hertz(mels, mel_scale = "htk") { const fn22 = MEL_TO_HERTZ_MAPPING[mel_scale]; if (!fn22) { throw new Error('mel_scale should be one of "htk", "slaney" or "kaldi".'); } return typeof mels === "number" ? fn22(mels) : mels.map((x) => fn22(x)); } function _create_triangular_filter_bank(fft_freqs, filter_freqs) { const filter_diff = Float64Array.from( { length: filter_freqs.length - 1 }, (_, i) => filter_freqs[i + 1] - filter_freqs[i] ); const slopes = Array.from( { length: fft_freqs.length }, () => new Array(filter_freqs.length) ); for (let j = 0; j < fft_freqs.length; ++j) { const slope = slopes[j]; for (let i = 0; i < filter_freqs.length; ++i) { slope[i] = filter_freqs[i] - fft_freqs[j]; } } const numFreqs = filter_freqs.length - 2; const ret = Array.from({ length: numFreqs }, () => new Array(fft_freqs.length)); for (let j = 0; j < fft_freqs.length; ++j) { const slope = slopes[j]; for (let i = 0; i < numFreqs; ++i) { const down = -slope[i] / filter_diff[i]; const up = slope[i + 2] / filter_diff[i + 1]; ret[i][j] = Math.max(0, Math.min(down, up)); } } return ret; } function linspace(start, end, num) { const step = (end - start) / (num - 1); return Float64Array.from({ length: num }, (_, i) => start + step * i); } function mel_filter_bank(num_frequency_bins, num_mel_filters, min_frequency, max_frequency, sampling_rate, norm = null, mel_scale = "htk", triangularize_in_mel_space = false) { if (norm !== null && norm !== "slaney") { throw new Error('norm must be one of null or "slaney"'); } if (num_frequency_bins < 2) { throw new Error(`Require num_frequency_bins: ${num_frequency_bins} >= 2`); } if (min_frequency > max_frequency) { throw new Error(`Require min_frequency: ${min_frequency} <= max_frequency: ${max_frequency}`); } const mel_min = hertz_to_mel(min_frequency, mel_scale); const mel_max = hertz_to_mel(max_frequency, mel_scale); const mel_freqs = linspace(mel_min, mel_max, num_mel_filters + 2); let filter_freqs = mel_to_hertz(mel_freqs, mel_scale); let fft_freqs; if (triangularize_in_mel_space) { const fft_bin_width = sampling_rate / ((num_frequency_bins - 1) * 2); fft_freqs = hertz_to_mel( Float64Array.from({ length: num_frequency_bins }, (_, i) => i * fft_bin_width), mel_scale ); filter_freqs = mel_freqs; } else { fft_freqs = linspace(0, Math.floor(sampling_rate / 2), num_frequency_bins); } const mel_filters = _create_triangular_filter_bank(fft_freqs, filter_freqs); if (norm !== null && norm === "slaney") { for (let i = 0; i < num_mel_filters; ++i) { const filter = mel_filters[i]; const enorm = 2 / (filter_freqs[i + 2] - filter_freqs[i]); for (let j = 0; j < num_frequency_bins; ++j) { filter[j] *= enorm; } } } return mel_filters; } function padReflect(array, left, right) { const padded = new array.constructor(array.length + left + right); const w = array.length - 1; for (let i = 0; i < array.length; ++i) { padded[left + i] = array[i]; } for (let i = 1; i <= left; ++i) { padded[left - i] = array[calculateReflectOffset(i, w)]; } for (let i = 1; i <= right; ++i) { padded[w + left + i] = array[calculateReflectOffset(w - i, w)]; } return padded; } function _db_conversion_helper(spectrogram2, factor, reference, min_value, db_range) { if (reference <= 0) { throw new Error("reference must be greater than zero"); } if (min_value <= 0) { throw new Error("min_value must be greater than zero"); } reference = Math.max(min_value, reference); const logReference = Math.log10(reference); for (let i = 0; i < spectrogram2.length; ++i) { spectrogram2[i] = factor * Math.log10(Math.max(min_value, spectrogram2[i]) - logReference); } if (db_range !== null) { if (db_range <= 0) { throw new Error("db_range must be greater than zero"); } const maxValue = max(spectrogram2)[0] - db_range; for (let i = 0; i < spectrogram2.length; ++i) { spectrogram2[i] = Math.max(spectrogram2[i], maxValue); } } return spectrogram2; } function amplitude_to_db(spectrogram2, reference = 1, min_value = 1e-5, db_range = null) { return _db_conversion_helper(spectrogram2, 20, reference, min_value, db_range); } function power_to_db(spectrogram2, reference = 1, min_value = 1e-10, db_range = null) { return _db_conversion_helper(spectrogram2, 10, reference, min_value, db_range); } async function spectrogram(waveform, window2, frame_length, hop_length, { fft_length = null, power = 1, center = true, pad_mode = "reflect", onesided = true, preemphasis = null, preemphasis_htk_flavor = true, mel_filters = null, mel_floor = 1e-10, log_mel = null, max_log_mel = null, reference = 1, min_value = 1e-10, db_range = null, remove_dc_offset = null, // Custom parameters for efficiency reasons min_num_frames = null, max_num_frames = null, do_pad = true, transpose = false, mel_offset = 0, mel_floor_mode = "clamp" } = {}) { const window_length = window2.length; if (fft_length === null) { fft_length = frame_length; } if (frame_length > fft_length) { throw Error(`frame_length (${frame_length}) may not be larger than fft_length (${fft_length})`); } if (window_length !== frame_length) { throw new Error(`Length of the window (${window_length}) must equal frame_length (${frame_length})`); } if (hop_length <= 0) { throw new Error("hop_length must be greater than zero"); } if (power === null && mel_filters !== null) { throw new Error( "You have provided `mel_filters` but `power` is `None`. Mel spectrogram computation is not yet supported for complex-valued spectrogram. Specify `power` to fix this issue." ); } if (!preemphasis_htk_flavor) { throw new Error("`preemphasis_htk_flavor=false` is not currently supported."); } if (center) { const padding = Math.floor(frame_length / 2); switch (pad_mode) { case "reflect": { waveform = padReflect(waveform, padding, padding); break; } case "constant": { const padded = new waveform.constructor(waveform.length + 2 * padding); padded.set(waveform, padding); waveform = padded; break; } case "semicausal": { const padded = new waveform.constructor(waveform.length + padding); padded.set(waveform, padding); waveform = padded; break; } default: throw new Error(`pad_mode="${pad_mode}" not implemented yet.`); } } let num_frames = Math.floor(1 + Math.floor((waveform.length - frame_length) / hop_length)); if (min_num_frames !== null && num_frames < min_num_frames) { num_frames = min_num_frames; } const num_frequency_bins = onesided ? Math.floor(fft_length / 2) + 1 : fft_length; let d1 = num_frames; let d1Max = num_frames; if (max_num_frames !== null) { if (max_num_frames > num_frames) { if (do_pad) { d1Max = max_num_frames; } } else { d1Max = d1 = max_num_frames; } } const fft = new FFT(fft_length); const inputBuffer = new Float64Array(fft_length); const outputBuffer = new Float64Array(fft.outputBufferSize); const transposedMagnitudeData = new Float32Array(num_frequency_bins * d1Max); for (let i = 0; i < d1; ++i) { const offset = i * hop_length; const buffer_size = Math.min(waveform.length - offset, frame_length); if (buffer_size !== frame_length) { inputBuffer.fill(0, 0, frame_length); } for (let j = 0; j < buffer_size; ++j) { inputBuffer[j] = waveform[offset + j]; } if (remove_dc_offset) { let sum = 0; for (let j = 0; j < buffer_size; ++j) { sum += inputBuffer[j]; } const mean2 = sum / buffer_size; for (let j = 0; j < buffer_size; ++j) { inputBuffer[j] -= mean2; } } if (preemphasis !== null) { for (let j = buffer_size - 1; j >= 1; --j) { inputBuffer[j] -= preemphasis * inputBuffer[j - 1]; } inputBuffer[0] *= 1 - preemphasis; } for (let j = 0; j < window2.length; ++j) { inputBuffer[j] *= window2[j]; } fft.realTransform(outputBuffer, inputBuffer); for (let j = 0; j < num_frequency_bins; ++j) { const j2 = j << 1; transposedMagnitudeData[j * d1Max + i] = outputBuffer[j2] ** 2 + outputBuffer[j2 + 1] ** 2; } } if (power !== null && power !== 2) { const pow = power / 2; for (let i = 0; i < transposedMagnitudeData.length; ++i) { transposedMagnitudeData[i] **= pow; } } const num_mel_filters = mel_filters.length; let mel_spec = await matmul( // TODO: Make `mel_filters` a Tensor during initialization new Tensor2("float32", mel_filters.flat(), [num_mel_filters, num_frequency_bins]), new Tensor2("float32", transposedMagnitudeData, [num_frequency_bins, d1Max]) ); if (transpose) { mel_spec = mel_spec.transpose(1, 0); } const mel_spec_data = ( /** @type {Float32Array} */ mel_spec.data ); if (mel_floor_mode === "add") { for (let i = 0; i < mel_spec_data.length; ++i) { mel_spec_data[i] = mel_offset + mel_spec_data[i] + mel_floor; } } else { for (let i = 0; i < mel_spec_data.length; ++i) { mel_spec_data[i] = mel_offset + Math.max(mel_floor, mel_spec_data[i]); } } if (power !== null && log_mel !== null) { const o = Math.min(mel_spec_data.length, d1 * num_mel_filters); switch (log_mel) { case "log": for (let i = 0; i < o; ++i) { mel_spec_data[i] = Math.log(mel_spec_data[i]); } break; case "log10": for (let i = 0; i < o; ++i) { mel_spec_data[i] = Math.log10(mel_spec_data[i]); } break; case "log10_max_norm": { for (let i = 0; i < o; ++i) { mel_spec_data[i] = Math.log10(mel_spec_data[i]); } const logMax = max_log_mel ?? max(mel_spec_data)[0]; const threshold = logMax - 8; for (let i = 0; i < o; ++i) { mel_spec_data[i] = (Math.max(mel_spec_data[i], threshold) + 4) / 4; } break; } case "dB": if (power === 1) { amplitude_to_db(mel_spec_data, reference, min_value, db_range); } else if (power === 2) { power_to_db(mel_spec_data, reference, min_value, db_range); } else { throw new Error(`Cannot use log_mel option '${log_mel}' with power ${power}`); } break; default: throw new Error( `log_mel must be one of null, 'log', 'log10', 'log10_max_norm', or 'dB'. Got '${log_mel}'` ); } } return mel_spec; } function window_function(window_length, name, { periodic = true, frame_length = null, center = true } = {}) { const length = periodic ? window_length + 1 : window_length; let window2; switch (name) { case "boxcar": window2 = new Float64Array(length).fill(1); break; case "hann": case "hann_window": window2 = hanning(length); break; case "hamming": window2 = hamming(length); break; case "povey": window2 = hanning(length).map((x) => Math.pow(x, 0.85)); break; default: throw new Error(`Unknown window type ${name}.`); } if (periodic) { window2 = window2.subarray(0, window_length); } if (frame_length === null || window_length === frame_length) { return window2; } if (window_length > frame_length) { throw new Error( `Length of the window (${window_length}) may not be larger than frame_length (${frame_length})` ); } const padded = new Float64Array(frame_length); const offset = center ? Math.floor((frame_length - window_length) / 2) : 0; padded.set(window2, offset); return padded; } function encodeWAV(chunks, rate) { const totalLength = chunks.reduce((acc, chunk2) => acc + chunk2.length, 0); const buffer = new ArrayBuffer(44); const view = new DataView(buffer); writeString(view, 0, "RIFF"); view.setUint32(4, 36 + totalLength * 4, true); writeString(view, 8, "WAVE"); writeString(view, 12, "fmt "); view.setUint32(16, 16, true); view.setUint16(20, 3, true); view.setUint16(22, 1, true); view.setUint32(24, rate, true); view.setUint32(28, rate * 4, true); view.setUint16(32, 4, true); view.setUint16(34, 32, true); writeString(view, 36, "data"); view.setUint32(40, totalLength * 4, true); return new Blob([buffer, ...chunks.map((chunk2) => ( /** @type {ArrayBuffer} */ chunk2.buffer ))], { type: "audio/wav" }); } function writeString(view, offset, string) { for (let i = 0; i < string.length; ++i) { view.setUint8(offset + i, string.charCodeAt(i)); } } var RawAudio = class { /** * Create a new `RawAudio` object. * @param {Float32Array|Float32Array[]} audio Audio data, either as a single `Float32Array` chunk or multiple `Float32Array` chunks. * @param {number} sampling_rate Sampling rate of the audio data */ constructor(audio, sampling_rate) { this.audio = audio; this.sampling_rate = sampling_rate; } /** * Get the audio data, accumulating all chunks if necessary. * @returns {Float32Array} The audio data. */ get data() { if (Array.isArray(this.audio)) { if (this.audio.length === 0) { return new Float32Array(0); } if (this.audio.length === 1) { return this.audio[0]; } const totalLength = this.audio.reduce((acc, chunk2) => acc + chunk2.length, 0); const result = new Float32Array(totalLength); let offset = 0; for (const chunk2 of this.audio) { result.set(chunk2, offset); offset += chunk2.length; } return result; } else { return this.audio; } } /** * Convert the audio to a blob. * @returns {Blob} */ toBlob() { let audio = this.audio; if (audio instanceof Float32Array) { audio = [audio]; } return encodeWAV(audio, this.sampling_rate); } /** * Save the audio to a wav file. * @param {string} path * @returns {Promise} */ async save(path3) { return saveBlob(path3, this.toBlob()); } }; var ASTFeatureExtractor = class extends FeatureExtractor { constructor(config) { super(config); const sampling_rate = this.config.sampling_rate; const mel_filters = mel_filter_bank( 257, // num_frequency_bins this.config.num_mel_bins, // num_mel_filters 20, // min_frequency Math.floor(sampling_rate / 2), // max_frequency sampling_rate, // sampling_rate null, // norm "kaldi", // mel_scale true // triangularize_in_mel_space ); this.mel_filters = mel_filters; this.window = window_function(400, "hann", { periodic: false }); this.mean = this.config.mean; this.std = this.config.std; } /** * Computes the log-Mel spectrogram of the provided audio waveform. * @param {Float32Array|Float64Array} waveform The audio waveform to process. * @param {number} max_length The maximum number of frames to return. * @returns {Promise} An object containing the log-Mel spectrogram data as a Float32Array and its dimensions as an array of numbers. */ async _extract_fbank_features(waveform, max_length) { return spectrogram( waveform, this.window, // window 400, // frame_length 160, // hop_length { fft_length: 512, power: 2, center: false, preemphasis: 0.97, mel_filters: this.mel_filters, log_mel: "log", mel_floor: 1192092955078125e-22, remove_dc_offset: true, // Custom max_num_frames: max_length, transpose: true } ); } /** * Asynchronously extracts features from a given audio using the provided configuration. * @param {Float32Array|Float64Array} audio The audio data as a Float32Array/Float64Array. * @returns {Promise<{ input_values: Tensor }>} A Promise resolving to an object containing the extracted input features as a Tensor. */ async _call(audio) { validate_audio_inputs(audio, "ASTFeatureExtractor"); const features = await this._extract_fbank_features(audio, this.config.max_length); if (this.config.do_normalize) { const denom = this.std * 2; const features_data = features.data; for (let i = 0; i < features_data.length; ++i) { features_data[i] = (features_data[i] - this.mean) / denom; } } return { input_values: features.unsqueeze_(0) }; } }; var EncodecFeatureExtractor = class extends FeatureExtractor { /** * Asynchronously extracts input values from a given audio using the provided configuration. * @param {Float32Array|Float64Array} audio The audio data as a Float32Array/Float64Array. * @returns {Promise<{ input_values: Tensor; }>} The extracted input values. */ async _call(audio) { validate_audio_inputs(audio, "EncodecFeatureExtractor"); if (audio instanceof Float64Array) { audio = new Float32Array(audio); } const num_channels = this.config.feature_size; if (audio.length % num_channels !== 0) { throw new Error( `The length of the audio data must be a multiple of the number of channels (${num_channels}).` ); } const shape = [ 1, num_channels, audio.length / num_channels ]; return { input_values: new Tensor2("float32", audio, shape) }; } }; var ChatterboxFeatureExtractor = class extends FeatureExtractor { /** * Asynchronously extracts input values from a given audio using the provided configuration. * @param {Float32Array|Float64Array} audio The audio data as a Float32Array/Float64Array. * @returns {Promise<{ input_values: Tensor; }>} The extracted input values. */ async _call(audio) { validate_audio_inputs(audio, "ChatterboxFeatureExtractor"); if (audio instanceof Float64Array) { audio = new Float32Array(audio); } const shape = [ 1, audio.length /* num_samples */ ]; return { input_values: new Tensor2("float32", audio, shape) }; } }; var ClapFeatureExtractor = class extends FeatureExtractor { constructor(config) { super(config); this.mel_filters = mel_filter_bank( this.config.nb_frequency_bins, // num_frequency_bins this.config.feature_size, // num_mel_filters this.config.frequency_min, // min_frequency this.config.frequency_max, // max_frequency this.config.sampling_rate, // sampling_rate null, // norm "htk" // mel_scale ); this.mel_filters_slaney = mel_filter_bank( this.config.nb_frequency_bins, // num_frequency_bins this.config.feature_size, // num_mel_filters this.config.frequency_min, // min_frequency this.config.frequency_max, // max_frequency this.config.sampling_rate, // sampling_rate "slaney", // norm "slaney" // mel_scale ); this.window = window_function(this.config.fft_window_size, "hann"); } /** * Extracts the mel spectrogram and prepares it for the mode based on the `truncation` and `padding` arguments. * * Four different path are possible: * - `truncation="fusion"` and the length of the waveform is greater than the max length: the mel spectrogram * will be computed on the entire audio. 3 random crops and a dowsampled version of the full mel spectrogram * are then stacked together. They will later be used for `feature_fusion`. * - `truncation="rand_trunc"` and the length of the waveform is smaller than the max length: the audio is * padded based on `padding`. * - `truncation="fusion"` and the length of the waveform is smaller than the max length: the audio is padded * based on `padding`, and is repeated `4` times. * - `truncation="rand_trunc"` and the length of the waveform is greater than the max length: the mel * spectrogram will be computed on a random crop of the waveform. * * @param {Float32Array|Float64Array} waveform The input waveform. * @param {number} max_length The maximum length of the waveform. * @param {string} truncation The truncation strategy to use. * @param {string} padding The padding strategy to use. * @returns {Promise} 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. * @private */ async _get_input_mel(waveform, max_length, truncation, padding) { let input_mel; let longer = false; const diff = waveform.length - max_length; if (diff > 0) { if (truncation === "rand_trunc") { longer = true; const idx = Math.floor(random.random() * (diff + 1)); waveform = waveform.subarray(idx, idx + max_length); input_mel = await this._extract_fbank_features( waveform, this.mel_filters_slaney, this.config.nb_max_samples ); } else { throw new Error(`Truncation strategy "${truncation}" not implemented`); } } else { if (diff < 0) { let padded = new Float64Array(max_length); padded.set(waveform); if (padding === "repeat") { for (let i = waveform.length; i < max_length; i += waveform.length) { padded.set(waveform.subarray(0, Math.min(waveform.length, max_length - i)), i); } } else if (padding === "repeatpad") { for (let i = waveform.length; i < -diff; i += waveform.length) { padded.set(waveform, i); } } waveform = padded; } if (truncation === "fusion") { throw new Error(`Truncation strategy "${truncation}" not implemented`); } input_mel = await this._extract_fbank_features( waveform, this.mel_filters_slaney, this.config.nb_max_samples ); } return input_mel.unsqueeze_(0); } /** * Compute the log-mel spectrogram of the provided `waveform` using the Hann window. * In CLAP, two different filter banks are used depending on the truncation pattern: * - `self.mel_filters`: they correspond to the default parameters of `torchaudio` which can be obtained from * calling `torchaudio.transforms.MelSpectrogram().mel_scale.fb`. These filters are used when `truncation` * is set to `"fusion"`. * - `self.mel_filteres_slaney` : they correspond to the default parameters of `librosa` which used * `librosa.filters.mel` when computing the mel spectrogram. These filters were only used in the original * implementation when the truncation mode is not `"fusion"`. * * @param {Float32Array|Float64Array} waveform The audio waveform to process. * @param {number[][]} mel_filters The mel filters to use. * @param {number} [max_length=null] The maximum number of frames to return. * @returns {Promise} An object containing the log-Mel spectrogram data as a Float32Array and its dimensions as an array of numbers. */ async _extract_fbank_features(waveform, mel_filters, max_length = null) { return spectrogram( waveform, this.window, // window this.config.fft_window_size, // frame_length this.config.hop_length, // hop_length { power: 2, mel_filters, log_mel: "dB", // Custom max_num_frames: max_length, do_pad: false, transpose: true } ); } /** * Asynchronously extracts features from a given audio using the provided configuration. * @param {Float32Array|Float64Array} audio The audio data as a Float32Array/Float64Array. * @returns {Promise<{ input_features: Tensor }>} A Promise resolving to an object containing the extracted input features as a Tensor. */ async _call(audio, { max_length = null } = {}) { validate_audio_inputs(audio, "ClapFeatureExtractor"); const padded_inputs = await this._get_input_mel( audio, max_length ?? this.config.nb_max_samples, this.config.truncation, this.config.padding ); return { input_features: padded_inputs.unsqueeze_(0) }; } }; var EPSILON = 1e-5; var ParakeetFeatureExtractor = class extends FeatureExtractor { constructor(config) { super(config); this.config.mel_filters ??= mel_filter_bank( Math.floor(1 + this.config.n_fft / 2), // num_frequency_bins this.config.feature_size, // num_mel_filters 0, // min_frequency this.config.sampling_rate / 2, // max_frequency this.config.sampling_rate, // sampling_rate "slaney", // norm "slaney" // mel_scale ); const window2 = window_function(this.config.win_length, "hann", { periodic: false }); this.window = new Float64Array(this.config.n_fft); const offset = Math.floor((this.config.n_fft - this.config.win_length) / 2); this.window.set(window2, offset); } /** * Computes the log-Mel spectrogram of the provided audio waveform. * @param {Float32Array|Float64Array} waveform The audio waveform to process. * @returns {Promise} An object containing the log-Mel spectrogram data as a Float32Array and its dimensions as an array of numbers. */ async _extract_fbank_features(waveform) { const preemphasis = this.config.preemphasis; waveform = new Float64Array(waveform); for (let j = waveform.length - 1; j >= 1; --j) { waveform[j] -= preemphasis * waveform[j - 1]; } const features = await spectrogram( waveform, this.window, // window this.window.length, // frame_length this.config.hop_length, // hop_length { fft_length: this.config.n_fft, power: 2, mel_filters: this.config.mel_filters, log_mel: "log", mel_floor: -Infinity, pad_mode: "constant", center: true, // Custom transpose: true, mel_offset: 2 ** -24 } ); return features; } /** * Asynchronously extracts features from a given audio using the provided configuration. * @param {Float32Array|Float64Array} audio The audio data as a Float32Array/Float64Array. * @returns {Promise<{ input_features: Tensor; attention_mask: Tensor; }>} A Promise resolving to an object containing the extracted input features as a Tensor. */ async _call(audio) { validate_audio_inputs(audio, "ParakeetFeatureExtractor"); const features = await this._extract_fbank_features(audio); const features_length = Math.floor( (audio.length + Math.floor(this.config.n_fft / 2) * 2 - this.config.n_fft) / this.config.hop_length ); const features_data = ( /** @type {Float32Array} */ features.data ); features_data.fill(0, features_length * features.dims[1]); const [num_frames, num_features] = features.dims; const sum = new Float64Array(num_features); const sum_sq = new Float64Array(num_features); for (let i = 0; i < features_length; ++i) { const offset = i * num_features; for (let j = 0; j < num_features; ++j) { const val = features_data[offset + j]; sum[j] += val; sum_sq[j] += val * val; } } const divisor = features_length > 1 ? features_length - 1 : 1; for (let j = 0; j < num_features; ++j) { const mean2 = sum[j] / features_length; const variance = (sum_sq[j] - features_length * mean2 * mean2) / divisor; const std = Math.sqrt(variance) + EPSILON; const inv_std = 1 / std; for (let i = 0; i < features_length; ++i) { const index = i * num_features + j; features_data[index] = (features_data[index] - mean2) * inv_std; } } const mask_data = new BigInt64Array(num_frames); mask_data.fill(1n, 0, features_length); return { input_features: features.unsqueeze_(0), attention_mask: new Tensor2("int64", mask_data, [1, num_frames]) }; } }; var CohereAsrFeatureExtractor = class extends ParakeetFeatureExtractor { /** * Apply deterministic dithering seeded by the waveform length. * @param {Float64Array} waveform * @returns {Float64Array} The dithered waveform (mutated in-place). */ _apply_dither(waveform) { const dither = this.config.dither ?? 0; if (dither <= 0) return waveform; const rng2 = new Random(waveform.length); for (let i = 0; i < waveform.length; ++i) { waveform[i] += dither * rng2.gauss(); } return waveform; } /** * Split audio into chunks at energy-based boundaries for long audio. * @param {Float32Array|Float64Array} audio The raw audio waveform. * @returns {(Float32Array|Float64Array)[]} Array of audio chunks. */ split_audio(audio) { const max_audio_clip_s = this.config.max_audio_clip_s ?? 35; const overlap_chunk_second = this.config.overlap_chunk_second ?? 5; const min_energy_window_samples = this.config.min_energy_window_samples ?? 1600; const sampling_rate = this.config.sampling_rate; const chunk_size = Math.max(1, Math.round(max_audio_clip_s * sampling_rate)); const boundary_context_size = Math.max(1, Math.round(overlap_chunk_second * sampling_rate)); if (audio.length <= chunk_size) { return [audio]; } const chunks = []; let idx = 0; const total_samples = audio.length; while (idx < total_samples) { if (idx + chunk_size >= total_samples) { chunks.push(audio.slice(idx, total_samples)); break; } const search_start = Math.max(idx, idx + chunk_size - boundary_context_size); const search_end = Math.min(idx + chunk_size, total_samples); let split_point; if (search_end <= search_start) { split_point = idx + chunk_size; } else { split_point = this._find_split_point_energy(audio, search_start, search_end, min_energy_window_samples); } split_point = Math.max(idx + 1, Math.min(split_point, total_samples)); chunks.push(audio.slice(idx, split_point)); idx = split_point; } return chunks; } /** * Find the quietest point (minimum energy) within a segment of audio. * @param {Float32Array|Float64Array} waveform * @param {number} start_idx * @param {number} end_idx * @param {number} window_size * @returns {number} Index of the quietest point. */ _find_split_point_energy(waveform, start_idx, end_idx, window_size) { const segment_len = end_idx - start_idx; if (segment_len <= window_size) { return Math.floor((start_idx + end_idx) / 2); } let min_energy = Infinity; let quietest_idx = start_idx; const upper = segment_len - window_size; for (let i = 0; i <= upper; i += window_size) { let energy = 0; for (let j = 0; j < window_size; ++j) { const val = waveform[start_idx + i + j]; energy += val * val; } energy = Math.sqrt(energy / window_size); if (energy < min_energy) { min_energy = energy; quietest_idx = start_idx + i; } } return quietest_idx; } /** * Extracts features from a given audio waveform. * @param {Float32Array|Float64Array} audio The audio data. * @returns {Promise<{ input_features: import('../../utils/tensor.js').Tensor; attention_mask: import('../../utils/tensor.js').Tensor; }>} */ async _call(audio) { validate_audio_inputs(audio, "CohereAsrFeatureExtractor"); const waveform = new Float64Array(audio); this._apply_dither(waveform); return super._call(waveform); } }; var DacFeatureExtractor = class extends EncodecFeatureExtractor { }; var Gemma3nAudioFeatureExtractor = class extends FeatureExtractor { constructor(config) { super(config); const { fft_length, feature_size, min_frequency, max_frequency, sampling_rate, frame_length } = this.config; const mel_filters = mel_filter_bank( Math.floor(1 + fft_length / 2), // num_frequency_bins feature_size, // num_mel_filters min_frequency, // min_frequency max_frequency, // max_frequency sampling_rate, // sampling_rate null, // norm "htk", // mel_scale false // triangularize_in_mel_space ); this.mel_filters = mel_filters; this.window = window_function(frame_length, "hann"); } /** * Computes the log-Mel spectrogram of the provided audio waveform. * @param {Float32Array|Float64Array} waveform The audio waveform to process. * @param {number} max_length The maximum number of frames to return. * @returns {Promise} An object containing the log-Mel spectrogram data as a Float32Array and its dimensions as an array of numbers. */ async _extract_fbank_features(waveform, max_length) { return spectrogram( waveform, this.window, // window this.config.frame_length, // frame_length this.config.hop_length, // hop_length { fft_length: this.config.fft_length, center: false, onesided: true, preemphasis: this.config.preemphasis, preemphasis_htk_flavor: this.config.preemphasis_htk_flavor, mel_filters: this.mel_filters, log_mel: "log", mel_floor: this.config.mel_floor, remove_dc_offset: false, // Custom transpose: true } ); } /** * Asynchronously extracts features from a given audio using the provided configuration. * @param {Float32Array|Float64Array} audio The audio data as a Float32Array/Float64Array. * @param {Object} options Optional parameters for feature extraction. * @param {number} [options.max_length=480_000] If provided, defines the maximum length of the audio to allow. * Audio longer than this will be truncated if `truncation=True`. * @param {boolean} [options.truncation=true] Whether or not to truncate audio above `max_length`. * @param {boolean} [options.padding=true] Whether to pad the sequence to a multiple of `pad_to_multiple_of`. * @param {number} [options.pad_to_multiple_of=128] The number to pad the sequence to a multiple of. * @returns {Promise<{ input_features: Tensor, input_features_mask: Tensor }>} A Promise resolving to an object containing the extracted input features and attention masks as Tensors. */ async _call(audio, { max_length = 48e4, truncation = true, padding = true, pad_to_multiple_of = 128 } = {}) { validate_audio_inputs(audio, "Gemma3nAudioFeatureExtractor"); if (truncation && audio.length > max_length) { audio = audio.slice(0, max_length); } if (padding && audio.length % pad_to_multiple_of !== 0) { const padding_length = pad_to_multiple_of - audio.length % pad_to_multiple_of; const padded_audio = new Float64Array(audio.length + padding_length); padded_audio.set(audio); if (this.config.padding_value !== 0) { padded_audio.fill(this.config.padding_value, audio.length); } audio = padded_audio; } const features = await this._extract_fbank_features(audio, this.config.max_length); const padded_attention_mask = full([1, features.dims[0]], true); return { input_features: features.unsqueeze_(0), input_features_mask: padded_attention_mask }; } }; var Gemma4AudioFeatureExtractor = class extends Gemma3nAudioFeatureExtractor { /** * @override * Gemma4 uses semicausal padding, unfold(frame_length+1) framing, and * additive mel_floor — all controlled via flags on the shared spectrogram(). */ async _extract_fbank_features(waveform, max_length) { const { frame_length, hop_length, fft_length } = this.config; const pad_left = Math.floor(frame_length / 2); const num_frames = Math.floor((waveform.length + pad_left - (frame_length + 1)) / hop_length) + 1; return spectrogram(waveform, this.window, frame_length, hop_length, { fft_length, center: true, pad_mode: "semicausal", onesided: true, preemphasis: this.config.preemphasis, preemphasis_htk_flavor: this.config.preemphasis_htk_flavor, mel_filters: this.mel_filters, log_mel: "log", mel_floor: this.config.mel_floor, mel_floor_mode: "add", remove_dc_offset: false, transpose: true, max_num_frames: num_frames }); } /** * @override * Wraps the base class result with a frame-aware attention mask * and zeros out features for invalid (padded) frames. */ async _call(audio, options = {}) { validate_audio_inputs(audio, "Gemma4AudioFeatureExtractor"); const original_length = audio.length; const result = await super._call(audio, options); const { input_features } = result; const [, num_frames, num_features] = input_features.dims; const { frame_length, hop_length } = this.config; const pad_left = Math.floor(frame_length / 2); const frame_size_for_unfold = frame_length + 1; const sample_mask = new Uint8Array(original_length + pad_left + (options.pad_to_multiple_of ?? 128)); sample_mask.fill(1, pad_left, pad_left + original_length); const frame_mask = new Uint8Array(num_frames); for (let i = 0; i < num_frames; ++i) { frame_mask[i] = sample_mask[i * hop_length + frame_size_for_unfold - 1] ? 1 : 0; } const feat_data = ( /** @type {Float32Array} */ input_features.data ); for (let i = 0; i < num_frames; ++i) { if (!frame_mask[i]) { feat_data.fill(0, i * num_features, (i + 1) * num_features); } } result.input_features_mask = new Tensor2("bool", frame_mask, [1, num_frames]); return result; } }; var GraniteSpeechFeatureExtractor = class extends FeatureExtractor { constructor(config) { super(config); const { n_fft, win_length, n_mels, sample_rate } = config.melspec_kwargs; this.mel_filters = mel_filter_bank( Math.floor(1 + n_fft / 2), // num_frequency_bins = 257 n_mels, // 80 0, // min_frequency sample_rate / 2, // max_frequency = 8000 sample_rate, // 16000 null, // norm (torchaudio default: no norm) "htk" // mel_scale (torchaudio default) ); const raw_window = window_function(win_length, "hann"); this.window = new Float64Array(n_fft); const pad = Math.floor((n_fft - win_length) / 2); this.window.set(raw_window, pad); } /** * Extract mel spectrogram features from audio, matching the Python GraniteSpeechFeatureExtractor. * @param {Float32Array|Float64Array} audio The audio waveform. * @returns {Promise<{input_features: Tensor}>} */ async _call(audio) { validate_audio_inputs(audio, "GraniteSpeechFeatureExtractor"); const { n_fft, hop_length, n_mels } = this.config.melspec_kwargs; const num_frames = 1 + Math.floor((audio.length - 1) / hop_length); const max_num_frames = num_frames - num_frames % 2; const mel = await spectrogram(audio, this.window, n_fft, hop_length, { power: 2, mel_filters: this.mel_filters, log_mel: "log10_max_norm", transpose: true, // [time, n_mels] max_num_frames, do_pad: false }); const input_features = mel.view(-1, 2 * n_mels).unsqueeze_(0); return { input_features }; } }; var MoonshineFeatureExtractor = class extends FeatureExtractor { /** * Asynchronously extracts input values from a given audio using the provided configuration. * @param {Float32Array|Float64Array} audio The audio data as a Float32Array/Float64Array. * @returns {Promise<{ input_values: Tensor; }>} The extracted input values. */ async _call(audio) { validate_audio_inputs(audio, "MoonshineFeatureExtractor"); if (audio instanceof Float64Array) { audio = new Float32Array(audio); } const shape = [ 1, audio.length /* num_samples */ ]; return { input_values: new Tensor2("float32", audio, shape) }; } }; var PyAnnoteFeatureExtractor = class extends FeatureExtractor { /** * Asynchronously extracts features from a given audio using the provided configuration. * @param {Float32Array|Float64Array} audio The audio data as a Float32Array/Float64Array. * @returns {Promise<{ input_values: Tensor; }>} The extracted input features. */ async _call(audio) { validate_audio_inputs(audio, "PyAnnoteFeatureExtractor"); if (audio instanceof Float64Array) { audio = new Float32Array(audio); } const shape = [ 1, 1, audio.length /* num_samples */ ]; return { input_values: new Tensor2("float32", audio, shape) }; } /** * NOTE: Can return fractional values. `Math.ceil` will ensure correct value. * @param {number} samples The number of frames in the audio. * @returns {number} The number of frames in the audio. */ samples_to_frames(samples) { return (samples - this.config.offset) / this.config.step; } /** * Post-processes the speaker diarization logits output by the model. * @param {import('../../utils/tensor.js').Tensor} logits The speaker diarization logits output by the model. * @param {number} num_samples Number of samples in the input audio. * @returns {Array>} The post-processed speaker diarization results. */ post_process_speaker_diarization(logits, num_samples) { const ratio = num_samples / this.samples_to_frames(num_samples) / this.config.sampling_rate; const results = []; for (const scores of logits.tolist()) { const accumulated_segments = []; let current_speaker = -1; for (let i = 0; i < scores.length; ++i) { const probabilities = softmax(scores[i]); const [score, id] = max(probabilities); const [start, end] = [i, i + 1]; if (id !== current_speaker) { current_speaker = id; accumulated_segments.push({ id, start, end, score }); } else { accumulated_segments.at(-1).end = end; accumulated_segments.at(-1).score += score; } } results.push( accumulated_segments.map( // Convert frame-space to time-space // and compute the confidence ({ id, start, end, score }) => ({ id, start: start * ratio, end: end * ratio, confidence: score / (end - start) }) ) ); } return results; } }; var SeamlessM4TFeatureExtractor = class extends FeatureExtractor { constructor(config) { super(config); const sampling_rate = this.config.sampling_rate; const mel_filters = mel_filter_bank( 257, // num_frequency_bins this.config.num_mel_bins, // num_mel_filters 20, // min_frequency Math.floor(sampling_rate / 2), // max_frequency sampling_rate, // sampling_rate null, // norm "kaldi", // mel_scale true // triangularize_in_mel_space ); this.mel_filters = mel_filters; this.window = window_function(400, "povey", { periodic: false }); } /** * Computes the log-Mel spectrogram of the provided audio waveform. * @param {Float32Array|Float64Array} waveform The audio waveform to process. * @param {number} max_length The maximum number of frames to return. * @returns {Promise} An object containing the log-Mel spectrogram data as a Float32Array and its dimensions as an array of numbers. */ async _extract_fbank_features(waveform, max_length) { waveform = waveform.map((x) => x * 32768); return spectrogram( waveform, this.window, // window 400, // frame_length 160, // hop_length { fft_length: 512, power: 2, center: false, preemphasis: 0.97, mel_filters: this.mel_filters, log_mel: "log", mel_floor: 1192092955078125e-22, remove_dc_offset: true, // Custom max_num_frames: max_length, transpose: true } ); } /** * Asynchronously extracts features from a given audio using the provided configuration. * @param {Float32Array|Float64Array} audio The audio data as a Float32Array/Float64Array. * @param {Object} options Optional parameters for feature extraction. * @param {boolean} [options.padding=true] Whether to pad the sequence to a multiple of `pad_to_multiple_of`. * @param {number} [options.pad_to_multiple_of=2] The number to pad the sequence to a multiple of. * @param {boolean} [options.do_normalize_per_mel_bins=true] Whether or not to zero-mean unit-variance normalize the input per mel-channel. * @param {boolean} [options.return_attention_mask=true] Whether to return the attention mask. * @returns {Promise<{ input_features: Tensor, attention_mask?: Tensor }>} A Promise resolving to an object containing the extracted input features and attention masks as Tensors. */ async _call(audio, { padding = true, pad_to_multiple_of = 2, do_normalize_per_mel_bins = true, return_attention_mask = true } = {}) { validate_audio_inputs(audio, "SeamlessM4TFeatureExtractor"); let features = await this._extract_fbank_features(audio, this.config.max_length); if (do_normalize_per_mel_bins) { const [num_features, feature_size] = features.dims; const data = features.data; for (let i = 0; i < feature_size; ++i) { let sum = 0; for (let j = 0; j < num_features; ++j) { sum += data[j * feature_size + i]; } const mean2 = sum / num_features; let variance = 0; for (let j = 0; j < num_features; ++j) { variance += (data[j * feature_size + i] - mean2) ** 2; } variance /= num_features - 1; const std = Math.sqrt(variance + 1e-7); for (let j = 0; j < num_features; ++j) { const index = j * feature_size + i; data[index] = (data[index] - mean2) / std; } } } let padded_attention_mask; if (padding) { const [num_frames2, num_channels2] = features.dims; const data = ( /** @type {Float32Array} */ features.data ); const pad_size = num_frames2 % pad_to_multiple_of; if (pad_size > 0) { const padded_data = new Float32Array(num_channels2 * (num_frames2 + pad_size)); padded_data.set(data); padded_data.fill(this.config.padding_value, data.length); const numPaddedFrames = num_frames2 + pad_size; features = new Tensor2(features.type, padded_data, [numPaddedFrames, num_channels2]); if (return_attention_mask) { padded_attention_mask = new Tensor2("int64", new BigInt64Array(numPaddedFrames), [ 1, numPaddedFrames ]); padded_attention_mask.data.fill(1n, 0, num_frames2); } } } const [num_frames, num_channels] = features.dims; const stride = this.config.stride; const remainder = num_frames % stride; if (remainder !== 0) { throw new Error(`The number of frames (${num_frames}) must be a multiple of the stride (${stride}).`); } const input_features = features.view(1, Math.floor(num_frames / stride), num_channels * stride); const result = { input_features }; if (return_attention_mask) { const reshapedNumFrames = input_features.dims[1]; const attention_mask_data = new BigInt64Array(reshapedNumFrames); if (padded_attention_mask) { const padded_attention_mask_data = padded_attention_mask.data; for (let i = 1, j = 0; i < num_frames; i += stride, ++j) { attention_mask_data[j] = padded_attention_mask_data[i]; } } else { attention_mask_data.fill(1n); } result.attention_mask = new Tensor2("int64", attention_mask_data, [1, reshapedNumFrames]); } return result; } }; var SnacFeatureExtractor = class extends DacFeatureExtractor { }; var SpeechT5FeatureExtractor = class extends FeatureExtractor { }; var Wav2Vec2FeatureExtractor = class extends FeatureExtractor { /** * @param {Float32Array} input_values * @returns {Float32Array} */ _zero_mean_unit_var_norm(input_values) { const sum = input_values.reduce((a, b) => a + b, 0); const mean2 = sum / input_values.length; const variance = input_values.reduce((a, b) => a + (b - mean2) ** 2, 0) / input_values.length; return input_values.map((x) => (x - mean2) / Math.sqrt(variance + 1e-7)); } /** * Asynchronously extracts features from a given audio using the provided configuration. * @param {Float32Array|Float64Array} audio The audio data as a Float32Array/Float64Array. * @returns {Promise<{ input_values: Tensor; attention_mask: Tensor }>} A Promise resolving to an object containing the extracted input features and attention mask as Tensors. */ async _call(audio) { validate_audio_inputs(audio, "Wav2Vec2FeatureExtractor"); if (audio instanceof Float64Array) { audio = new Float32Array(audio); } let input_values = audio; if (this.config.do_normalize) { input_values = this._zero_mean_unit_var_norm(input_values); } const shape = [1, input_values.length]; return { input_values: new Tensor2("float32", input_values, shape), attention_mask: new Tensor2("int64", new BigInt64Array(input_values.length).fill(1n), shape) }; } }; var WeSpeakerFeatureExtractor = class extends FeatureExtractor { constructor(config) { super(config); const sampling_rate = this.config.sampling_rate; const mel_filters = mel_filter_bank( 257, // num_frequency_bins this.config.num_mel_bins, // num_mel_filters 20, // min_frequency Math.floor(sampling_rate / 2), // max_frequency sampling_rate, // sampling_rate null, // norm "kaldi", // mel_scale true // triangularize_in_mel_space ); this.mel_filters = mel_filters; this.window = window_function(400, "hamming", { periodic: false }); this.min_num_frames = this.config.min_num_frames; } /** * Computes the log-Mel spectrogram of the provided audio waveform. * @param {Float32Array|Float64Array} waveform The audio waveform to process. * @returns {Promise} An object containing the log-Mel spectrogram data as a Float32Array and its dimensions as an array of numbers. */ async _extract_fbank_features(waveform) { waveform = waveform.map((x) => x * 32768); return spectrogram( waveform, this.window, // window 400, // frame_length 160, // hop_length { fft_length: 512, power: 2, center: false, preemphasis: 0.97, mel_filters: this.mel_filters, log_mel: "log", mel_floor: 1192092955078125e-22, remove_dc_offset: true, // Custom transpose: true, min_num_frames: this.min_num_frames } ); } /** * Asynchronously extracts features from a given audio using the provided configuration. * @param {Float32Array|Float64Array} audio The audio data as a Float32Array/Float64Array. * @returns {Promise<{ input_features: Tensor }>} A Promise resolving to an object containing the extracted input features as a Tensor. */ async _call(audio) { validate_audio_inputs(audio, "WeSpeakerFeatureExtractor"); const features = (await this._extract_fbank_features(audio)).unsqueeze_(0); if (this.config.fbank_centering_span === null) { const meanData = ( /** @type {Float32Array} */ features.mean(1).data ); const featuresData = ( /** @type {Float32Array} */ features.data ); const [batch_size, num_frames, feature_size] = features.dims; for (let i = 0; i < batch_size; ++i) { const offset1 = i * num_frames * feature_size; const offset2 = i * feature_size; for (let j = 0; j < num_frames; ++j) { const offset3 = offset1 + j * feature_size; for (let k2 = 0; k2 < feature_size; ++k2) { featuresData[offset3 + k2] -= meanData[offset2 + k2]; } } } } return { input_features: features }; } }; var VoxtralRealtimeFeatureExtractor = class extends FeatureExtractor { constructor(config) { super(config); this.config.mel_filters ??= mel_filter_bank( Math.floor(1 + this.config.n_fft / 2), // num_frequency_bins this.config.feature_size, // num_mel_filters 0, // min_frequency 8e3, // max_frequency this.config.sampling_rate, // sampling_rate "slaney", // norm "slaney" // mel_scale ); this.window = window_function(this.config.n_fft, "hann"); } /** * Computes the log-Mel spectrogram of the provided audio waveform. * @param {Float32Array|Float64Array} waveform The audio waveform to process. * @param {Object} [options] * @param {boolean} [options.center=true] Whether to center-pad the waveform for STFT. * @returns {Promise} The log-Mel spectrogram tensor of shape [num_mel_bins, num_frames]. */ async _extract_fbank_features(waveform, { center = true } = {}) { const { n_fft, hop_length, mel_filters, global_log_mel_max } = this.config; const max_num_frames = center ? Math.floor(waveform.length / hop_length) : Math.floor((waveform.length - n_fft) / hop_length); return await spectrogram( waveform, this.window, n_fft, // frame_length hop_length, { power: 2, mel_filters, log_mel: "log10_max_norm", max_log_mel: global_log_mel_max, center, max_num_frames, do_pad: false } ); } /** * Extract mel spectrogram features from audio. * @param {Float32Array|Float64Array} audio The audio data. * @param {Object} [options] * @param {boolean} [options.center=true] Whether to center-pad the waveform. * @returns {Promise<{ input_features: import('../../utils/tensor.js').Tensor }>} */ async _call(audio, { center = true } = {}) { validate_audio_inputs(audio, "VoxtralRealtimeFeatureExtractor"); const features = await this._extract_fbank_features(audio, { center }); return { input_features: features.unsqueeze_(0) }; } }; var WhisperFeatureExtractor = class extends FeatureExtractor { constructor(config) { super(config); this.config.mel_filters ??= mel_filter_bank( Math.floor(1 + this.config.n_fft / 2), // num_frequency_bins this.config.feature_size, // num_mel_filters 0, // min_frequency 8e3, // max_frequency this.config.sampling_rate, // sampling_rate "slaney", // norm "slaney" // mel_scale ); this.window = window_function(this.config.n_fft, "hann"); } /** * Computes the log-Mel spectrogram of the provided audio waveform. * @param {Float32Array|Float64Array} waveform The audio waveform to process. * @returns {Promise} An object containing the log-Mel spectrogram data as a Float32Array and its dimensions as an array of numbers. */ async _extract_fbank_features(waveform) { return await spectrogram( waveform, this.window, // window this.config.n_fft, // frame_length this.config.hop_length, // hop_length { power: 2, mel_filters: this.config.mel_filters, log_mel: "log10_max_norm", // Custom max_num_frames: Math.min( Math.floor(waveform.length / this.config.hop_length), this.config.nb_max_frames // 3000 ) } ); } /** * Asynchronously extracts features from a given audio using the provided configuration. * @param {Float32Array|Float64Array} audio The audio data as a Float32Array/Float64Array. * @returns {Promise<{ input_features: Tensor }>} A Promise resolving to an object containing the extracted input features as a Tensor. */ async _call(audio, { max_length = null } = {}) { validate_audio_inputs(audio, "WhisperFeatureExtractor"); let waveform; const length = max_length ?? this.config.n_samples; if (audio.length > length) { if (audio.length > this.config.n_samples) { logger.warn( "Attempting to extract features for audio longer than 30 seconds. If using a pipeline to extract transcript from a long audio clip, remember to specify `chunk_length_s` and/or `stride_length_s`." ); } waveform = audio.slice(0, length); } else { waveform = new Float32Array(length); waveform.set(audio); } const features = await this._extract_fbank_features(waveform); return { input_features: features.unsqueeze_(0) }; } }; var AutoFeatureExtractor = class { /** @type {typeof FeatureExtractor.from_pretrained} */ static async from_pretrained(pretrained_model_name_or_path, options = {}) { const preprocessorConfig = await getModelJSON( pretrained_model_name_or_path, FEATURE_EXTRACTOR_NAME, true, options ); const key = preprocessorConfig.feature_extractor_type; const feature_extractor_class = feature_extractors_exports[key]; if (!feature_extractor_class) { throw new Error(`Unknown feature_extractor_type: '${key}'. Please report this at ${GITHUB_ISSUE_URL}.`); } return new feature_extractor_class(preprocessorConfig); } }; var ChatterboxProcessor = (_d = class extends Processor { async _call(text, audio = null) { const text_features = this.tokenizer(text); const audio_features = audio ? await this.feature_extractor(audio) : {}; return { ...text_features, ...audio_features }; } }, __publicField2(_d, "tokenizer_class", AutoTokenizer), __publicField2(_d, "feature_extractor_class", AutoFeatureExtractor), _d); var NO_SPACE_LANGUAGES = /* @__PURE__ */ new Set(["ja", "zh"]); var CohereAsrProcessor = (_e = class extends Processor { /** * Build the 10-token decoder prompt for the given language. * @param {string} [language='en'] Language code. * @returns {number[]} Token IDs for the decoder prompt. */ get_decoder_prompt_ids(language = "en") { const tokens = [ "\u2581", "<|startofcontext|>", "<|startoftranscript|>", "<|emo:undefined|>", `<|${language}|>`, `<|${language}|>`, "<|pnc|>", "<|noitn|>", "<|notimestamp|>", "<|nodiarize|>" ]; return this.tokenizer.convert_tokens_to_ids(tokens); } /** * Join chunk texts back together, using the appropriate separator for the language. * @param {string[]} texts Decoded texts, one per chunk. * @param {string} [language='en'] Language code. * @returns {string} The joined text. */ static join_chunks(texts, language = "en") { const non_empty = texts.filter((t) => t && t.trim()); if (non_empty.length === 0) return ""; const separator = NO_SPACE_LANGUAGES.has(language) ? "" : " "; const parts = [non_empty[0].trimEnd(), ...non_empty.slice(1).map((t) => t.trim())]; return parts.join(separator); } /** * Calls the feature_extractor function with the given audio input. * @param {any} audio The audio input to extract features from. * @returns {Promise} */ async _call(audio) { return await this.feature_extractor(audio); } }, __publicField2(_e, "tokenizer_class", AutoTokenizer), __publicField2(_e, "feature_extractor_class", AutoFeatureExtractor), __publicField2(_e, "uses_processor_config", true), _e); var import_sharp = __toESM2(require_dummy_sharp(), 1); var createCanvasFunction; var ImageDataClass; var loadImageFunction; if (apis.IS_WEB_ENV) { createCanvasFunction = (width, height) => { if (!self.OffscreenCanvas) { throw new Error("OffscreenCanvas not supported by this environment."); } return new self.OffscreenCanvas(width, height); }; loadImageFunction = self.createImageBitmap; ImageDataClass = self.ImageData; } else if (import_sharp.default) { loadImageFunction = async (img) => { const metadata = await img.metadata(); const rawChannels = metadata.channels; const { data, info } = await img.rotate().raw().toBuffer({ resolveWithObject: true }); const newImage = new RawImage(new Uint8ClampedArray(data), info.width, info.height, info.channels); if (rawChannels !== void 0 && rawChannels !== info.channels) { newImage.convert(rawChannels); } return newImage; }; } else { throw new Error("Unable to load image processing library."); } var RESAMPLING_MAPPING = { 0: "nearest", 1: "lanczos", 2: "bilinear", 3: "bicubic", 4: "box", 5: "hamming" }; var CONTENT_TYPE_MAP2 = /* @__PURE__ */ new Map([ ["png", "image/png"], ["jpg", "image/jpeg"], ["jpeg", "image/jpeg"], ["gif", "image/gif"] ]); var RawImage = class _RawImage { /** * Create a new `RawImage` object. * @param {Uint8ClampedArray|Uint8Array} data The pixel data. * @param {number} width The width of the image. * @param {number} height The height of the image. * @param {1|2|3|4} channels The number of channels. */ constructor(data, width, height, channels) { this.data = data; this.width = width; this.height = height; this.channels = channels; } /** * Returns the size of the image (width, height). * @returns {[number, number]} The size of the image (width, height). */ get size() { return [this.width, this.height]; } /** * Helper method for reading an image from a variety of input types. * @param {RawImage|string|URL|Blob|HTMLCanvasElement|OffscreenCanvas} input * @returns {Promise} The image object. * * **Example:** Read image from a URL. * ```javascript * let image = await RawImage.read('https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/football-match.jpg'); * // RawImage { * // "data": Uint8ClampedArray [ 25, 25, 25, 19, 19, 19, ... ], * // "width": 800, * // "height": 533, * // "channels": 3 * // } * ``` */ static async read(input) { if (input instanceof _RawImage) { return input; } else if (typeof input === "string" || input instanceof URL) { return await this.fromURL(input); } else if (input instanceof Blob) { return await this.fromBlob(input); } else if (typeof HTMLCanvasElement !== "undefined" && input instanceof HTMLCanvasElement || typeof OffscreenCanvas !== "undefined" && input instanceof OffscreenCanvas) { return this.fromCanvas(input); } else { throw new Error(`Unsupported input type: ${typeof input}`); } } /** * Read an image from a canvas. * @param {HTMLCanvasElement|OffscreenCanvas} canvas The canvas to read the image from. * @returns {RawImage} The image object. */ static fromCanvas(canvas) { if (!apis.IS_WEB_ENV) { throw new Error("fromCanvas() is only supported in browser environments."); } const ctx = ( /** @type {CanvasRenderingContext2D | OffscreenCanvasRenderingContext2D} */ canvas.getContext("2d") ); const data = ctx.getImageData(0, 0, canvas.width, canvas.height).data; return new _RawImage(data, canvas.width, canvas.height, 4); } /** * Read an image from a URL or file path. * @param {string|URL} url The URL or file path to read the image from. * @returns {Promise} The image object. */ static async fromURL(url2) { const response = await getFile(url2); if (response.status !== 200) { throw new Error(`Unable to read image from "${url2}" (${response.status} ${response.statusText})`); } const blob = await response.blob(); return this.fromBlob(blob); } /** * Helper method to create a new Image from a blob. * @param {Blob} blob The blob to read the image from. * @returns {Promise} The image object. */ static async fromBlob(blob) { if (apis.IS_WEB_ENV) { const img = await loadImageFunction(blob); const ctx = createCanvasFunction(img.width, img.height).getContext("2d"); ctx.drawImage(img, 0, 0); return new this(ctx.getImageData(0, 0, img.width, img.height).data, img.width, img.height, 4); } else { const img = (0, import_sharp.default)(await blob.arrayBuffer()); return await loadImageFunction(img); } } /** * Helper method to create a new Image from a tensor * @param {Tensor} tensor */ static fromTensor(tensor, channel_format = "CHW") { if (tensor.dims.length !== 3) { throw new Error(`Tensor should have 3 dimensions, but has ${tensor.dims.length} dimensions.`); } if (channel_format === "CHW") { tensor = tensor.transpose(1, 2, 0); } else if (channel_format === "HWC") { } else { throw new Error(`Unsupported channel format: ${channel_format}`); } if (!(tensor.data instanceof Uint8ClampedArray || tensor.data instanceof Uint8Array)) { throw new Error(`Unsupported tensor type: ${tensor.type}`); } switch (tensor.dims[2]) { case 1: case 2: case 3: case 4: return new _RawImage(tensor.data, tensor.dims[1], tensor.dims[0], tensor.dims[2]); default: throw new Error(`Unsupported number of channels: ${tensor.dims[2]}`); } } /** * Convert the image to grayscale format. * @returns {RawImage} `this` to support chaining. */ grayscale() { if (this.channels === 1) { return this; } const newData = new Uint8ClampedArray(this.width * this.height * 1); switch (this.channels) { case 3: case 4: for (let i = 0, offset = 0; i < this.data.length; i += this.channels) { const red = this.data[i]; const green = this.data[i + 1]; const blue = this.data[i + 2]; newData[offset++] = Math.round(0.2989 * red + 0.587 * green + 0.114 * blue); } break; default: throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`); } return this._update(newData, this.width, this.height, 1); } /** * Convert the image to RGB format. * @returns {RawImage} `this` to support chaining. */ rgb() { if (this.channels === 3) { return this; } const newData = new Uint8ClampedArray(this.width * this.height * 3); switch (this.channels) { case 1: for (let i = 0, offset = 0; i < this.data.length; ++i) { newData[offset++] = this.data[i]; newData[offset++] = this.data[i]; newData[offset++] = this.data[i]; } break; case 4: for (let i = 0, offset = 0; i < this.data.length; i += 4) { newData[offset++] = this.data[i]; newData[offset++] = this.data[i + 1]; newData[offset++] = this.data[i + 2]; } break; default: throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`); } return this._update(newData, this.width, this.height, 3); } /** * Convert the image to RGBA format. * @returns {RawImage} `this` to support chaining. */ rgba() { if (this.channels === 4) { return this; } const newData = new Uint8ClampedArray(this.width * this.height * 4); switch (this.channels) { case 1: for (let i = 0, offset = 0; i < this.data.length; ++i) { newData[offset++] = this.data[i]; newData[offset++] = this.data[i]; newData[offset++] = this.data[i]; newData[offset++] = 255; } break; case 3: for (let i = 0, offset = 0; i < this.data.length; i += 3) { newData[offset++] = this.data[i]; newData[offset++] = this.data[i + 1]; newData[offset++] = this.data[i + 2]; newData[offset++] = 255; } break; default: throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`); } return this._update(newData, this.width, this.height, 4); } /** * Apply an alpha mask to the image. Operates in place. * @param {RawImage} mask The mask to apply. It should have a single channel. * @returns {RawImage} The masked image. * @throws {Error} If the mask is not the same size as the image. * @throws {Error} If the image does not have 4 channels. * @throws {Error} If the mask is not a single channel. */ putAlpha(mask) { if (mask.width !== this.width || mask.height !== this.height) { throw new Error( `Expected mask size to be ${this.width}x${this.height}, but got ${mask.width}x${mask.height}` ); } if (mask.channels !== 1) { throw new Error(`Expected mask to have 1 channel, but got ${mask.channels}`); } const this_data = this.data; const mask_data = mask.data; const num_pixels = this.width * this.height; if (this.channels === 3) { const newData = new Uint8ClampedArray(num_pixels * 4); for (let i = 0, in_offset = 0, out_offset = 0; i < num_pixels; ++i) { newData[out_offset++] = this_data[in_offset++]; newData[out_offset++] = this_data[in_offset++]; newData[out_offset++] = this_data[in_offset++]; newData[out_offset++] = mask_data[i]; } return this._update(newData, this.width, this.height, 4); } else if (this.channels === 4) { for (let i = 0; i < num_pixels; ++i) { this_data[4 * i + 3] = mask_data[i]; } return this; } throw new Error(`Expected image to have 3 or 4 channels, but got ${this.channels}`); } /** * Resize the image to the given dimensions. This method uses the canvas API to perform the resizing. * @param {number} width The width of the new image. `null` or `-1` will preserve the aspect ratio. * @param {number} height The height of the new image. `null` or `-1` will preserve the aspect ratio. * @param {Object} options Additional options for resizing. * @param {0|1|2|3|4|5|string} [options.resample] The resampling method to use. * @returns {Promise} `this` to support chaining. */ async resize(width, height, { resample = 2 } = {}) { if (this.width === width && this.height === height) { return this; } let resampleMethod = RESAMPLING_MAPPING[resample] ?? resample; const nullish_width = isNullishDimension(width); const nullish_height = isNullishDimension(height); if (nullish_width && nullish_height) { return this; } else if (nullish_width) { width = height / this.height * this.width; } else if (nullish_height) { height = width / this.width * this.height; } if (apis.IS_WEB_ENV) { const numChannels = this.channels; const canvas = this.toCanvas(); const ctx = createCanvasFunction(width, height).getContext("2d"); ctx.drawImage(canvas, 0, 0, width, height); const resizedImage = new _RawImage(ctx.getImageData(0, 0, width, height).data, width, height, 4); return resizedImage.convert(numChannels); } else { let img = this.toSharp(); switch (resampleMethod) { case "box": case "hamming": if (resampleMethod === "box" || resampleMethod === "hamming") { logger.warn( `Resampling method ${resampleMethod} is not yet supported. Using bilinear instead.` ); resampleMethod = "bilinear"; } case "nearest": case "bilinear": case "bicubic": img = img.affine([width / this.width, 0, 0, height / this.height], { interpolator: resampleMethod }); break; case "lanczos": img = img.resize({ width, height, fit: "fill", kernel: "lanczos3" // PIL Lanczos uses a kernel size of 3 }); break; default: throw new Error(`Resampling method ${resampleMethod} is not supported.`); } return await loadImageFunction(img); } } async pad([left, right, top, bottom]) { left = Math.max(left, 0); right = Math.max(right, 0); top = Math.max(top, 0); bottom = Math.max(bottom, 0); if (left === 0 && right === 0 && top === 0 && bottom === 0) { return this; } if (apis.IS_WEB_ENV) { const numChannels = this.channels; const canvas = this.toCanvas(); const newWidth = this.width + left + right; const newHeight = this.height + top + bottom; const ctx = createCanvasFunction(newWidth, newHeight).getContext("2d"); ctx.drawImage(canvas, 0, 0, this.width, this.height, left, top, this.width, this.height); const paddedImage = new _RawImage(ctx.getImageData(0, 0, newWidth, newHeight).data, newWidth, newHeight, 4); return paddedImage.convert(numChannels); } else { const img = this.toSharp().extend({ left, right, top, bottom }); return await loadImageFunction(img); } } async crop([x_min, y_min, x_max, y_max]) { x_min = Math.max(x_min, 0); y_min = Math.max(y_min, 0); x_max = Math.min(x_max, this.width - 1); y_max = Math.min(y_max, this.height - 1); if (x_min === 0 && y_min === 0 && x_max === this.width - 1 && y_max === this.height - 1) { return this; } const crop_width = x_max - x_min + 1; const crop_height = y_max - y_min + 1; if (apis.IS_WEB_ENV) { const numChannels = this.channels; const canvas = this.toCanvas(); const ctx = createCanvasFunction(crop_width, crop_height).getContext("2d"); ctx.drawImage(canvas, x_min, y_min, crop_width, crop_height, 0, 0, crop_width, crop_height); const resizedImage = new _RawImage( ctx.getImageData(0, 0, crop_width, crop_height).data, crop_width, crop_height, 4 ); return resizedImage.convert(numChannels); } else { const img = this.toSharp().extract({ left: x_min, top: y_min, width: crop_width, height: crop_height }); return await loadImageFunction(img); } } async center_crop(crop_width, crop_height) { if (this.width === crop_width && this.height === crop_height) { return this; } const width_offset = (this.width - crop_width) / 2; const height_offset = (this.height - crop_height) / 2; if (apis.IS_WEB_ENV) { const numChannels = this.channels; const canvas = this.toCanvas(); const ctx = createCanvasFunction(crop_width, crop_height).getContext("2d"); let sourceX = 0; let sourceY = 0; let destX = 0; let destY = 0; if (width_offset >= 0) { sourceX = width_offset; } else { destX = -width_offset; } if (height_offset >= 0) { sourceY = height_offset; } else { destY = -height_offset; } ctx.drawImage(canvas, sourceX, sourceY, crop_width, crop_height, destX, destY, crop_width, crop_height); const resizedImage = new _RawImage( ctx.getImageData(0, 0, crop_width, crop_height).data, crop_width, crop_height, 4 ); return resizedImage.convert(numChannels); } else { let img = this.toSharp(); if (width_offset >= 0 && height_offset >= 0) { img = img.extract({ left: Math.floor(width_offset), top: Math.floor(height_offset), width: crop_width, height: crop_height }); } else if (width_offset <= 0 && height_offset <= 0) { const top = Math.floor(-height_offset); const left = Math.floor(-width_offset); img = img.extend({ top, left, // Ensures the resulting image has the desired dimensions right: crop_width - this.width - left, bottom: crop_height - this.height - top }); } else { let y_padding = [0, 0]; let y_extract = 0; if (height_offset < 0) { y_padding[0] = Math.floor(-height_offset); y_padding[1] = crop_height - this.height - y_padding[0]; } else { y_extract = Math.floor(height_offset); } let x_padding = [0, 0]; let x_extract = 0; if (width_offset < 0) { x_padding[0] = Math.floor(-width_offset); x_padding[1] = crop_width - this.width - x_padding[0]; } else { x_extract = Math.floor(width_offset); } img = img.extend({ top: y_padding[0], bottom: y_padding[1], left: x_padding[0], right: x_padding[1] }).extract({ left: x_extract, top: y_extract, width: crop_width, height: crop_height }); } return await loadImageFunction(img); } } async toBlob(type = "image/png", quality = 1) { if (!apis.IS_WEB_ENV) { throw new Error("toBlob() is only supported in browser environments."); } const canvas = this.toCanvas(); return await canvas.convertToBlob({ type, quality }); } toTensor(channel_format = "CHW") { let tensor = new Tensor2("uint8", new Uint8Array(this.data), [this.height, this.width, this.channels]); if (channel_format === "HWC") { } else if (channel_format === "CHW") { tensor = tensor.permute(2, 0, 1); } else { throw new Error(`Unsupported channel format: ${channel_format}`); } return tensor; } toCanvas() { if (!apis.IS_WEB_ENV) { throw new Error("toCanvas() is only supported in browser environments."); } const cloned = this.clone().rgba(); const clonedCanvas = createCanvasFunction(cloned.width, cloned.height); const data = new ImageDataClass(cloned.data, cloned.width, cloned.height); clonedCanvas.getContext("2d").putImageData(data, 0, 0); return clonedCanvas; } /** * Split this image into individual bands. This method returns an array of individual image bands from an image. * For example, splitting an "RGB" image creates three new images each containing a copy of one of the original bands (red, green, blue). * * Inspired by PIL's `Image.split()` [function](https://pillow.readthedocs.io/en/latest/reference/Image.html#PIL.Image.Image.split). * @returns {RawImage[]} An array containing bands. */ split() { const { data, width, height, channels } = this; const data_type = ( /** @type {any} */ data.constructor ); const per_channel_length = data.length / channels; const split_data = Array.from({ length: channels }, () => new data_type(per_channel_length)); for (let i = 0; i < per_channel_length; ++i) { const data_offset = channels * i; for (let j = 0; j < channels; ++j) { split_data[j][i] = data[data_offset + j]; } } return split_data.map((data2) => new _RawImage(data2, width, height, 1)); } /** * Helper method to update the image data. * @param {Uint8ClampedArray} data The new image data. * @param {number} width The new width of the image. * @param {number} height The new height of the image. * @param {1|2|3|4|null} [channels] The new number of channels of the image. * @private */ _update(data, width, height, channels = null) { this.data = data; this.width = width; this.height = height; if (channels !== null) { this.channels = channels; } return this; } /** * Clone the image * @returns {RawImage} The cloned image */ clone() { return new _RawImage(this.data.slice(), this.width, this.height, this.channels); } /** * Helper method for converting image to have a certain number of channels * @param {number} numChannels The number of channels. Must be 1, 3, or 4. * @returns {RawImage} `this` to support chaining. */ convert(numChannels) { if (this.channels === numChannels) return this; switch (numChannels) { case 1: this.grayscale(); break; case 3: this.rgb(); break; case 4: this.rgba(); break; default: throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`); } return this; } /** * Save the image to the given path. * @param {string} path The path to save the image to. * @returns {Promise} */ async save(path3) { if (apis.IS_WEB_ENV) { if (apis.IS_WEBWORKER_ENV) { throw new Error("Unable to save an image from a Web Worker."); } const extension = path3.split(".").pop().toLowerCase(); const mime = CONTENT_TYPE_MAP2.get(extension) ?? "image/png"; const blob = await this.toBlob(mime); return saveBlob(path3, blob); } else if (apis.IS_FS_AVAILABLE) { const img = this.toSharp(); await img.toFile(path3); } else { throw new Error("Unable to save the image because filesystem is disabled in this environment."); } } /** * Convert the image to a Sharp instance. * @returns {import('sharp').Sharp} The Sharp instance. */ toSharp() { if (apis.IS_WEB_ENV) { throw new Error("toSharp() is only supported in server-side environments."); } return (0, import_sharp.default)(this.data, { raw: { width: this.width, height: this.height, channels: this.channels } }); } }; var load_image = RawImage.read.bind(RawImage); function constraint_to_multiple_of(val, multiple, minVal = 0, maxVal = null) { const a = val / multiple; let x = bankers_round(a) * multiple; if (maxVal !== null && x > maxVal) { x = Math.floor(a) * multiple; } if (x < minVal) { x = Math.ceil(a) * multiple; } return x; } function enforce_size_divisibility([width, height], divisor) { return [Math.max(Math.floor(width / divisor), 1) * divisor, Math.max(Math.floor(height / divisor), 1) * divisor]; } function center_to_corners_format([centerX, centerY, width, height]) { return [centerX - width / 2, centerY - height / 2, centerX + width / 2, centerY + height / 2]; } function post_process_object_detection(outputs, threshold = 0.5, target_sizes = null, is_zero_shot = false) { const out_logits = outputs.logits; const out_bbox = outputs.pred_boxes; const [batch_size, num_boxes, num_classes] = out_logits.dims; if (target_sizes !== null && target_sizes.length !== batch_size) { throw Error("Make sure that you pass in as many target sizes as the batch dimension of the logits"); } let toReturn = []; for (let i = 0; i < batch_size; ++i) { let target_size = target_sizes !== null ? target_sizes[i] : null; let info = { boxes: [], classes: [], scores: [] }; let logits = out_logits[i]; let bbox = out_bbox[i]; for (let j = 0; j < num_boxes; ++j) { let logit = logits[j]; let indices = []; let probs; if (is_zero_shot) { probs = logit.sigmoid().data; for (let k2 = 0; k2 < probs.length; ++k2) { if (probs[k2] > threshold) { indices.push(k2); } } } else { let maxIndex = max(logit.data)[1]; if (maxIndex === num_classes - 1) { continue; } probs = softmax(logit.data); if (probs[maxIndex] < threshold) { continue; } indices.push(maxIndex); } for (const index of indices) { let box = bbox[j].data; box = center_to_corners_format(box); if (target_size !== null) { box = box.map((x, i2) => x * target_size[(i2 + 1) % 2]); } info.boxes.push(box); info.classes.push(index); info.scores.push(probs[index]); } } toReturn.push(info); } return toReturn; } function post_process_semantic_segmentation(outputs, target_sizes = null) { const logits = outputs.logits; const batch_size = logits.dims[0]; if (target_sizes !== null && target_sizes.length !== batch_size) { throw Error("Make sure that you pass in as many target sizes as the batch dimension of the logits"); } const toReturn = []; for (let i = 0; i < batch_size; ++i) { const target_size = target_sizes !== null ? target_sizes[i] : null; let data = logits[i]; if (target_size !== null) { data = interpolate(data, target_size, "bilinear", false); } const [height, width] = target_size ?? data.dims.slice(-2); const segmentation = new Tensor2("int32", new Int32Array(height * width), [height, width]); const buffer = data[0].data; const segmentation_data = segmentation.data; for (let j = 1; j < data.dims[0]; ++j) { const row = data[j].data; for (let k2 = 0; k2 < row.length; ++k2) { if (row[k2] > buffer[k2]) { buffer[k2] = row[k2]; segmentation_data[k2] = j; } } } const hasLabel = new Array(data.dims[0]); for (let j = 0; j < segmentation_data.length; ++j) { const index = segmentation_data[j]; hasLabel[index] = index; } const labels = hasLabel.filter((x) => x !== void 0); toReturn.push({ segmentation, labels }); } return toReturn; } function remove_low_and_no_objects(class_logits, mask_logits, object_mask_threshold, num_labels) { const mask_probs_item = []; const pred_scores_item = []; const pred_labels_item = []; for (let j = 0; j < class_logits.dims[0]; ++j) { const cls = class_logits[j]; const mask = mask_logits[j]; const pred_label = max(cls.data)[1]; if (pred_label === num_labels) { continue; } const scores = softmax(cls.data); const pred_score = scores[pred_label]; if (pred_score > object_mask_threshold) { mask_probs_item.push(mask); pred_scores_item.push(pred_score); pred_labels_item.push(pred_label); } } return [mask_probs_item, pred_scores_item, pred_labels_item]; } function check_segment_validity(mask_labels, mask_probs, k2, mask_threshold = 0.5, overlap_mask_area_threshold = 0.8) { const mask_k = []; let mask_k_area = 0; let original_area = 0; const mask_probs_k_data = mask_probs[k2].data; for (let i = 0; i < mask_labels.length; ++i) { if (mask_labels[i] === k2) { mask_k.push(i); ++mask_k_area; } if (mask_probs_k_data[i] >= mask_threshold) { ++original_area; } } let mask_exists = mask_k_area > 0 && original_area > 0; if (mask_exists) { let area_ratio = mask_k_area / original_area; mask_exists = area_ratio > overlap_mask_area_threshold; } return [mask_exists, mask_k]; } function compute_segments(mask_probs, pred_scores, pred_labels, mask_threshold, overlap_mask_area_threshold, label_ids_to_fuse = null, target_size = null) { const [height, width] = target_size ?? mask_probs[0].dims; const segmentation = new Tensor2("int32", new Int32Array(height * width), [height, width]); const segments = []; if (target_size !== null) { for (let i = 0; i < mask_probs.length; ++i) { mask_probs[i] = interpolate(mask_probs[i], target_size, "bilinear", false); } } const mask_labels = new Int32Array(mask_probs[0].data.length); const bestScores = new Float32Array(mask_probs[0].data.length); for (let i = 0; i < mask_probs.length; ++i) { let score = pred_scores[i]; const mask_probs_i_data = mask_probs[i].data; for (let j = 0; j < mask_probs_i_data.length; ++j) { mask_probs_i_data[j] *= score; if (mask_probs_i_data[j] > bestScores[j]) { mask_labels[j] = i; bestScores[j] = mask_probs_i_data[j]; } } } let current_segment_id = 0; const segmentation_data = segmentation.data; for (let k2 = 0; k2 < pred_labels.length; ++k2) { const pred_class = pred_labels[k2]; const [mask_exists, mask_k] = check_segment_validity( mask_labels, mask_probs, k2, mask_threshold, overlap_mask_area_threshold ); if (!mask_exists) { continue; } ++current_segment_id; for (const index of mask_k) { segmentation_data[index] = current_segment_id; } segments.push({ id: current_segment_id, label_id: pred_class, // was_fused: should_fuse, TODO score: pred_scores[k2] }); } return [segmentation, segments]; } function smart_resize(height, width, factor = 28, min_pixels = 56 * 56, max_pixels = 14 * 14 * 4 * 1280, temporal_factor = 1) { if (height < factor || width < factor) { const scale = Math.max(factor / height, factor / width); height = Math.round(height * scale); width = Math.round(width * scale); } if (Math.max(height, width) / Math.min(height, width) > 200) { throw new Error( `absolute aspect ratio must be smaller than 200, got ${Math.max(height, width) / Math.min(height, width)}` ); } let h_bar = Math.round(height / factor) * factor; let w_bar = Math.round(width / factor) * factor; if (temporal_factor * h_bar * w_bar > max_pixels) { const beta = Math.sqrt(temporal_factor * height * width / max_pixels); h_bar = Math.max(factor, Math.floor(height / beta / factor) * factor); w_bar = Math.max(factor, Math.floor(width / beta / factor) * factor); } else if (temporal_factor * h_bar * w_bar < min_pixels) { const beta = Math.sqrt(min_pixels / (temporal_factor * height * width)); h_bar = Math.ceil(height * beta / factor) * factor; w_bar = Math.ceil(width * beta / factor) * factor; } return [w_bar, h_bar]; } function post_process_panoptic_segmentation(outputs, threshold = 0.5, mask_threshold = 0.5, overlap_mask_area_threshold = 0.8, label_ids_to_fuse = null, target_sizes = null) { if (label_ids_to_fuse === null) { logger.warn("`label_ids_to_fuse` unset. No instance will be fused."); label_ids_to_fuse = /* @__PURE__ */ new Set(); } const class_queries_logits = outputs.class_queries_logits ?? outputs.logits; const masks_queries_logits = outputs.masks_queries_logits ?? outputs.pred_masks; const mask_probs = masks_queries_logits.sigmoid(); let [batch_size, num_queries, num_labels] = class_queries_logits.dims; num_labels -= 1; if (target_sizes !== null && target_sizes.length !== batch_size) { throw Error("Make sure that you pass in as many target sizes as the batch dimension of the logits"); } let toReturn = []; for (let i = 0; i < batch_size; ++i) { let target_size = target_sizes !== null ? target_sizes[i] : null; let class_logits = class_queries_logits[i]; let mask_logits = mask_probs[i]; let [mask_probs_item, pred_scores_item, pred_labels_item] = remove_low_and_no_objects( class_logits, mask_logits, threshold, num_labels ); if (pred_labels_item.length === 0) { let [height, width] = target_size ?? mask_logits.dims.slice(-2); let segmentation2 = new Tensor2("int32", new Int32Array(height * width).fill(-1), [height, width]); toReturn.push({ segmentation: segmentation2, segments_info: [] }); continue; } let [segmentation, segments] = compute_segments( mask_probs_item, pred_scores_item, pred_labels_item, mask_threshold, overlap_mask_area_threshold, label_ids_to_fuse, target_size ); toReturn.push({ segmentation, segments_info: segments }); } return toReturn; } function post_process_instance_segmentation(outputs, threshold = 0.5, target_sizes = null) { throw new Error("`post_process_instance_segmentation` is not yet implemented."); } var ImageProcessor = class extends Callable { /** * Constructs a new `ImageProcessor`. * @param {ImageProcessorConfig} config The configuration object. */ constructor(config) { super(); this.image_mean = config.image_mean ?? config.mean; this.image_std = config.image_std ?? config.std; this.resample = config.resample ?? 2; this.do_rescale = config.do_rescale ?? true; this.rescale_factor = config.rescale_factor ?? 1 / 255; this.do_normalize = config.do_normalize; this.do_thumbnail = config.do_thumbnail; this.size = config.size ?? config.image_size; this.do_resize = config.do_resize ?? this.size !== void 0; this.size_divisibility = config.size_divisibility ?? config.size_divisor; this.do_center_crop = config.do_center_crop; this.crop_size = config.crop_size; this.do_convert_rgb = config.do_convert_rgb ?? true; this.do_crop_margin = config.do_crop_margin; this.pad_size = config.pad_size; this.do_pad = config.do_pad; this.min_pixels = config.min_pixels; this.max_pixels = config.max_pixels; if (this.do_pad && !this.pad_size && !this.size_divisibility && this.size && this.size.width !== void 0 && this.size.height !== void 0) { this.pad_size = this.size; } this.do_flip_channel_order = config.do_flip_channel_order ?? false; this.config = config; } /** * Resize the image to make a thumbnail. The image is resized so that no dimension is larger than any * corresponding dimension of the specified size. * @param {RawImage} image The image to be resized. * @param {{height:number, width:number}} size The size `{"height": h, "width": w}` to resize the image to. * @param {string | 0 | 1 | 2 | 3 | 4 | 5} [resample=2] The resampling filter to use. * @returns {Promise} The resized image. */ async thumbnail(image, size, resample = 2) { const input_height = image.height; const input_width = image.width; const output_height = size.height; const output_width = size.width; let height = Math.min(input_height, output_height); let width = Math.min(input_width, output_width); if (height === input_height && width === input_width) { return image; } if (input_height > input_width) { width = Math.floor(input_width * height / input_height); } else if (input_width > input_height) { height = Math.floor(input_height * width / input_width); } return await image.resize(width, height, { resample }); } /** * Crops the margin of the image. Gray pixels are considered margin (i.e., pixels with a value below the threshold). * @param {RawImage} image The image to be cropped. * @param {number} gray_threshold Value below which pixels are considered to be gray. * @returns {Promise} The cropped image. */ async crop_margin(image, gray_threshold = 200) { const gray_image = image.clone().grayscale(); const minValue = min2(gray_image.data)[0]; const maxValue = max(gray_image.data)[0]; const diff = maxValue - minValue; if (diff === 0) { return image; } const threshold = gray_threshold / 255; let x_min = gray_image.width, y_min = gray_image.height, x_max = 0, y_max = 0; const gray_image_data = gray_image.data; for (let j = 0; j < gray_image.height; ++j) { const row = j * gray_image.width; for (let i = 0; i < gray_image.width; ++i) { if ((gray_image_data[row + i] - minValue) / diff < threshold) { x_min = Math.min(x_min, i); y_min = Math.min(y_min, j); x_max = Math.max(x_max, i); y_max = Math.max(y_max, j); } } } image = await image.crop([x_min, y_min, x_max, y_max]); return image; } /** * Pad the image by a certain amount. * @param {Float32Array} pixelData The pixel data to pad. * @param {number[]} imgDims The dimensions of the image (height, width, channels). * @param {{width:number; height:number}|number|'square'} padSize The dimensions of the padded image. * @param {Object} options The options for padding. * @param {'constant'|'symmetric'} [options.mode='constant'] The type of padding to add. * @param {boolean} [options.center=false] Whether to center the image. * @param {number|number[]} [options.constant_values=0] The constant value to use for padding. * @returns {[Float32Array, number[]]} The padded pixel data and image dimensions. */ pad_image(pixelData, imgDims, padSize, { mode = "constant", center = false, constant_values = 0 } = {}) { const [imageHeight, imageWidth, imageChannels] = imgDims; let paddedImageWidth, paddedImageHeight; if (typeof padSize === "number") { paddedImageWidth = padSize; paddedImageHeight = padSize; } else if (padSize === "square") { paddedImageWidth = paddedImageHeight = Math.max(imageHeight, imageWidth); } else { paddedImageWidth = padSize.width; paddedImageHeight = padSize.height; } if (paddedImageWidth !== imageWidth || paddedImageHeight !== imageHeight) { const paddedPixelData = new Float32Array(paddedImageWidth * paddedImageHeight * imageChannels); if (Array.isArray(constant_values)) { for (let i = 0; i < paddedPixelData.length; ++i) { paddedPixelData[i] = constant_values[i % imageChannels]; } } else if (constant_values !== 0) { paddedPixelData.fill(constant_values); } const [left, top] = center ? [Math.floor((paddedImageWidth - imageWidth) / 2), Math.floor((paddedImageHeight - imageHeight) / 2)] : [0, 0]; for (let i = 0; i < imageHeight; ++i) { const a = (i + top) * paddedImageWidth; const b = i * imageWidth; for (let j = 0; j < imageWidth; ++j) { const c = (a + j + left) * imageChannels; const d = (b + j) * imageChannels; for (let k2 = 0; k2 < imageChannels; ++k2) { paddedPixelData[c + k2] = pixelData[d + k2]; } } } if (mode === "symmetric") { if (center) { throw new Error("`center` padding is not supported when `mode` is set to `symmetric`."); } const h1 = imageHeight - 1; const w1 = imageWidth - 1; for (let i = 0; i < paddedImageHeight; ++i) { const a = i * paddedImageWidth; const b = calculateReflectOffset(i, h1) * imageWidth; for (let j = 0; j < paddedImageWidth; ++j) { if (i < imageHeight && j < imageWidth) continue; const c = (a + j) * imageChannels; const d = (b + calculateReflectOffset(j, w1)) * imageChannels; for (let k2 = 0; k2 < imageChannels; ++k2) { paddedPixelData[c + k2] = pixelData[d + k2]; } } } } pixelData = paddedPixelData; imgDims = [paddedImageHeight, paddedImageWidth, imageChannels]; } return [pixelData, imgDims]; } /** * Rescale the image' pixel values by `this.rescale_factor`. * @param {Float32Array} pixelData The pixel data to rescale. * @returns {void} */ rescale(pixelData) { for (let i = 0; i < pixelData.length; ++i) { pixelData[i] = this.rescale_factor * pixelData[i]; } } /** * Find the target (width, height) dimension of the output image after * resizing given the input image and the desired size. * @param {RawImage} image The image to resize. * @param {any} size The size to use for resizing the image. * @returns {[number, number]} The target (width, height) dimension of the output image after resizing. */ get_resize_output_image_size(image, size) { const [srcWidth, srcHeight] = image.size; let shortest_edge; let longest_edge; if (this.do_thumbnail) { const { height, width } = size; shortest_edge = Math.min(height, width); } else if (Number.isInteger(size)) { shortest_edge = size; longest_edge = this.config.max_size ?? shortest_edge; } else if (size !== void 0) { shortest_edge = size.shortest_edge; longest_edge = size.longest_edge; } if (shortest_edge !== void 0 || longest_edge !== void 0) { const shortResizeFactor = shortest_edge === void 0 ? 1 : Math.max(shortest_edge / srcWidth, shortest_edge / srcHeight); const newWidth = srcWidth * shortResizeFactor; const newHeight = srcHeight * shortResizeFactor; const longResizeFactor = longest_edge === void 0 ? 1 : Math.min(longest_edge / newWidth, longest_edge / newHeight); let finalWidth = Math.floor(Number((newWidth * longResizeFactor).toFixed(2))); let finalHeight = Math.floor(Number((newHeight * longResizeFactor).toFixed(2))); if (this.size_divisibility !== void 0) { [finalWidth, finalHeight] = enforce_size_divisibility( [finalWidth, finalHeight], this.size_divisibility ); } return [finalWidth, finalHeight]; } else if (size !== void 0 && size.width !== void 0 && size.height !== void 0) { let newWidth = size.width; let newHeight = size.height; if (this.config.keep_aspect_ratio && this.config.ensure_multiple_of) { let scale_height = newHeight / srcHeight; let scale_width = newWidth / srcWidth; if (Math.abs(1 - scale_width) < Math.abs(1 - scale_height)) { scale_height = scale_width; } else { scale_width = scale_height; } newHeight = constraint_to_multiple_of(scale_height * srcHeight, this.config.ensure_multiple_of); newWidth = constraint_to_multiple_of(scale_width * srcWidth, this.config.ensure_multiple_of); } return [newWidth, newHeight]; } else if (this.size_divisibility !== void 0) { return enforce_size_divisibility([srcWidth, srcHeight], this.size_divisibility); } else { throw new Error( `Could not resize image due to unsupported \`this.size\` option in config: ${JSON.stringify(size)}` ); } } /** * Resizes the image. * @param {RawImage} image The image to resize. * @returns {Promise} The resized image. */ async resize(image) { const [newWidth, newHeight] = this.get_resize_output_image_size(image, this.size); return await image.resize(newWidth, newHeight, { // @ts-expect-error TS2322 resample: this.resample }); } /** * @typedef {Object} PreprocessedImage * @property {HeightWidth} original_size The original size of the image. * @property {HeightWidth} reshaped_input_size The reshaped input size of the image. * @property {Tensor} pixel_values The pixel values of the preprocessed image. */ /** * Preprocesses the given image. * * @param {RawImage} image The image to preprocess. * @param {Object} overrides The overrides for the preprocessing options. * @returns {Promise} The preprocessed image. */ async preprocess(image, { do_normalize = null, do_pad = null, do_convert_rgb = null, do_convert_grayscale = null, do_flip_channel_order = null } = {}) { if (this.do_crop_margin) { image = await this.crop_margin(image); } const [srcWidth, srcHeight] = image.size; if (do_convert_rgb ?? this.do_convert_rgb) { image = image.rgb(); } else if (do_convert_grayscale) { image = image.grayscale(); } if (this.do_resize) { image = await this.resize(image); } if (this.do_thumbnail) { image = await this.thumbnail(image, this.size, this.resample); } if (this.do_center_crop) { let crop_width; let crop_height; if (Number.isInteger(this.crop_size)) { crop_width = this.crop_size; crop_height = this.crop_size; } else { crop_width = this.crop_size.width; crop_height = this.crop_size.height; } image = await image.center_crop(crop_width, crop_height); } const reshaped_input_size = [image.height, image.width]; let pixelData = Float32Array.from(image.data); let imgDims = [image.height, image.width, image.channels]; if (this.do_rescale) { this.rescale(pixelData); } if (do_normalize ?? this.do_normalize) { let image_mean = this.image_mean; if (!Array.isArray(this.image_mean)) { image_mean = new Array(image.channels).fill(image_mean); } let image_std = this.image_std; if (!Array.isArray(this.image_std)) { image_std = new Array(image.channels).fill(image_std); } if (image_mean.length !== image.channels || image_std.length !== image.channels) { 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}).` ); } for (let i = 0; i < pixelData.length; i += image.channels) { for (let j = 0; j < image.channels; ++j) { pixelData[i + j] = (pixelData[i + j] - image_mean[j]) / image_std[j]; } } } if (do_pad ?? this.do_pad) { if (this.pad_size) { const padded = this.pad_image(pixelData, [image.height, image.width, image.channels], this.pad_size); [pixelData, imgDims] = padded; } else if (this.size_divisibility) { const paddedWidth = Math.ceil(imgDims[1] / this.size_divisibility) * this.size_divisibility; const paddedHeight = Math.ceil(imgDims[0] / this.size_divisibility) * this.size_divisibility; [pixelData, imgDims] = this.pad_image(pixelData, imgDims, { width: paddedWidth, height: paddedHeight }); } } if (do_flip_channel_order ?? this.do_flip_channel_order) { if (imgDims[2] !== 3) { throw new Error("Flipping channel order is only supported for RGB images."); } for (let i = 0; i < pixelData.length; i += 3) { const temp = pixelData[i]; pixelData[i] = pixelData[i + 2]; pixelData[i + 2] = temp; } } const pixel_values = new Tensor2("float32", pixelData, imgDims).permute(2, 0, 1); return { original_size: [srcHeight, srcWidth], reshaped_input_size, pixel_values }; } /** * Calls the feature extraction process on an array of images, * preprocesses each image, and concatenates the resulting * features into a single Tensor. * @param {RawImage[]} images The image(s) to extract features from. * @param {...any} args Additional arguments. * @returns {Promise} An object containing the concatenated pixel values (and other metadata) of the preprocessed images. */ async _call(images, ...args2) { if (!Array.isArray(images)) { images = [images]; } const imageData = await Promise.all(images.map((x) => this.preprocess(x))); const pixel_values = stack2( imageData.map((x) => x.pixel_values), 0 ); return { pixel_values, // Original sizes of images original_sizes: imageData.map((x) => x.original_size), // Reshaped sizes of images, before padding or cropping reshaped_input_sizes: imageData.map((x) => x.reshaped_input_size) }; } /** * Instantiate one of the processor classes of the library from a pretrained model. * * The processor class to instantiate is selected based on the `image_processor_type` (or `feature_extractor_type`; legacy) * property of the config object (either passed as an argument or loaded from `pretrained_model_name_or_path` if possible) * * @param {string} pretrained_model_name_or_path The name or path of the pretrained model. Can be either: * - A string, the *model id* of a pretrained processor hosted inside a model repo on huggingface.co. * Valid model ids can be located at the root-level, like `bert-base-uncased`, or namespaced under a * user or organization name, like `dbmdz/bert-base-german-cased`. * - A path to a *directory* containing processor files, e.g., `./my_model_directory/`. * @param {import('./utils/hub.js').PretrainedOptions} options Additional options for loading the processor. * * @returns {Promise} A new instance of the Processor class. */ static async from_pretrained(pretrained_model_name_or_path, options = {}) { const preprocessorConfig = await getModelJSON( pretrained_model_name_or_path, IMAGE_PROCESSOR_NAME, true, options ); return new this(preprocessorConfig); } }; var image_processors_exports = {}; __export3(image_processors_exports, { BeitFeatureExtractor: () => BeitFeatureExtractor, BitImageProcessor: () => BitImageProcessor, CHMv2ImageProcessor: () => CHMv2ImageProcessor, CLIPFeatureExtractor: () => CLIPFeatureExtractor, CLIPImageProcessor: () => CLIPImageProcessor, ChineseCLIPFeatureExtractor: () => ChineseCLIPFeatureExtractor, ConvNextFeatureExtractor: () => ConvNextFeatureExtractor, ConvNextImageProcessor: () => ConvNextImageProcessor, DINOv3ViTImageProcessor: () => DINOv3ViTImageProcessor, DPTFeatureExtractor: () => DPTFeatureExtractor, DPTImageProcessor: () => DPTImageProcessor, DeiTFeatureExtractor: () => DeiTFeatureExtractor, DeiTImageProcessor: () => DeiTImageProcessor, DetrFeatureExtractor: () => DetrFeatureExtractor, DetrImageProcessor: () => DetrImageProcessor, DonutFeatureExtractor: () => DonutFeatureExtractor, DonutImageProcessor: () => DonutImageProcessor, EfficientNetImageProcessor: () => EfficientNetImageProcessor, GLPNFeatureExtractor: () => GLPNFeatureExtractor, Gemma3ImageProcessor: () => Gemma3ImageProcessor, Gemma4ImageProcessor: () => Gemma4ImageProcessor, Glm46VImageProcessor: () => Glm46VImageProcessor, GroundingDinoImageProcessor: () => GroundingDinoImageProcessor, Idefics3ImageProcessor: () => Idefics3ImageProcessor, ImageFeatureExtractor: () => ImageProcessor, ImageProcessor: () => ImageProcessor, JinaCLIPImageProcessor: () => JinaCLIPImageProcessor, Lfm2VlImageProcessor: () => Lfm2VlImageProcessor, LlavaOnevisionImageProcessor: () => LlavaOnevisionImageProcessor, Mask2FormerImageProcessor: () => Mask2FormerImageProcessor, MaskFormerFeatureExtractor: () => MaskFormerFeatureExtractor, MaskFormerImageProcessor: () => MaskFormerImageProcessor, MobileNetV1FeatureExtractor: () => MobileNetV1FeatureExtractor, MobileNetV1ImageProcessor: () => MobileNetV1ImageProcessor, MobileNetV2FeatureExtractor: () => MobileNetV2FeatureExtractor, MobileNetV2ImageProcessor: () => MobileNetV2ImageProcessor, MobileNetV3FeatureExtractor: () => MobileNetV3FeatureExtractor, MobileNetV3ImageProcessor: () => MobileNetV3ImageProcessor, MobileNetV4FeatureExtractor: () => MobileNetV4FeatureExtractor, MobileNetV4ImageProcessor: () => MobileNetV4ImageProcessor, MobileViTFeatureExtractor: () => MobileViTFeatureExtractor, MobileViTImageProcessor: () => MobileViTImageProcessor, NougatImageProcessor: () => NougatImageProcessor, OwlViTFeatureExtractor: () => OwlViTFeatureExtractor, OwlViTImageProcessor: () => OwlViTImageProcessor, Owlv2ImageProcessor: () => Owlv2ImageProcessor, Phi3VImageProcessor: () => Phi3VImageProcessor, PixtralImageProcessor: () => PixtralImageProcessor, PvtImageProcessor: () => PvtImageProcessor, Qwen2VLImageProcessor: () => Qwen2VLImageProcessor, RTDetrImageProcessor: () => RTDetrImageProcessor, Sam2ImageProcessor: () => SamImageProcessor, Sam3ImageProcessor: () => SamImageProcessor, SamImageProcessor: () => SamImageProcessor, SapiensFeatureExtractor: () => SapiensFeatureExtractor, SapiensImageProcessor: () => SapiensImageProcessor, SegformerFeatureExtractor: () => SegformerFeatureExtractor, SegformerImageProcessor: () => SegformerImageProcessor, SiglipImageProcessor: () => SiglipImageProcessor, SmolVLMImageProcessor: () => Idefics3ImageProcessor, Swin2SRImageProcessor: () => Swin2SRImageProcessor, VLMImageProcessor: () => VLMImageProcessor, ViTFeatureExtractor: () => ViTFeatureExtractor, ViTImageProcessor: () => ViTImageProcessor, VitMatteImageProcessor: () => VitMatteImageProcessor, VitPoseImageProcessor: () => VitPoseImageProcessor, YolosFeatureExtractor: () => YolosFeatureExtractor, YolosImageProcessor: () => YolosImageProcessor }); var BeitFeatureExtractor = class extends ImageProcessor { }; var BitImageProcessor = class extends ImageProcessor { }; var ChineseCLIPFeatureExtractor = class extends ImageProcessor { }; var CHMv2ImageProcessor = class extends ImageProcessor { }; var CLIPImageProcessor = class extends ImageProcessor { }; var CLIPFeatureExtractor = class extends CLIPImageProcessor { }; var ConvNextImageProcessor = class extends ImageProcessor { constructor(config) { super(config); this.crop_pct = this.config.crop_pct ?? 224 / 256; } async resize(image) { const shortest_edge = this.size?.shortest_edge; if (shortest_edge === void 0) { throw new Error(`Size dictionary must contain 'shortest_edge' key.`); } if (shortest_edge < 384) { const resize_shortest_edge = Math.floor(shortest_edge / this.crop_pct); const [newWidth, newHeight] = this.get_resize_output_image_size(image, { shortest_edge: resize_shortest_edge }); image = await image.resize(newWidth, newHeight, { resample: this.resample }); image = await image.center_crop(shortest_edge, shortest_edge); } else { image = await image.resize(shortest_edge, shortest_edge, { resample: this.resample }); } return image; } }; var ConvNextFeatureExtractor = class extends ConvNextImageProcessor { }; var DeiTImageProcessor = class extends ImageProcessor { }; var DeiTFeatureExtractor = class extends DeiTImageProcessor { }; var DetrImageProcessor = class extends ImageProcessor { /** * Calls the feature extraction process on an array of images, preprocesses * each image, and concatenates the resulting features into a single Tensor. * @param {import('../../utils/image.js').RawImage[]} images The image(s) to extract features from. * @returns {Promise} An object containing the concatenated pixel values of the preprocessed images. */ async _call(images) { const result = await super._call(images); const maskSize = [result.pixel_values.dims[0], 64, 64]; const pixel_mask = full(maskSize, 1n); return { ...result, pixel_mask }; } /** @type {typeof post_process_object_detection} */ post_process_object_detection(...args2) { return post_process_object_detection(...args2); } /** @type {typeof post_process_panoptic_segmentation} */ post_process_panoptic_segmentation(...args2) { return post_process_panoptic_segmentation(...args2); } /** @type {typeof post_process_instance_segmentation} */ post_process_instance_segmentation(...args2) { return post_process_instance_segmentation(...args2); } }; var DetrFeatureExtractor = class extends DetrImageProcessor { }; var DINOv3ViTImageProcessor = class extends ImageProcessor { }; var DonutImageProcessor = class extends ImageProcessor { pad_image(pixelData, imgDims, padSize, options = {}) { const [imageHeight, imageWidth, imageChannels] = imgDims; let image_mean = this.image_mean; if (!Array.isArray(this.image_mean)) { image_mean = new Array(imageChannels).fill(image_mean); } let image_std = this.image_std; if (!Array.isArray(image_std)) { image_std = new Array(imageChannels).fill(image_mean); } const constant_values = image_mean.map((x, i) => -x / image_std[i]); return super.pad_image(pixelData, imgDims, padSize, { center: true, // Since normalization is done after padding, we need to use certain constant values to ensure the same behaviour is observed. // For more information, see https://github.com/huggingface/transformers/blob/main/src/transformers/models/donut/image_processing_donut.py#L433-L451 constant_values, ...options }); } }; var DonutFeatureExtractor = class extends DonutImageProcessor { }; var DPTImageProcessor = class extends ImageProcessor { }; var DPTFeatureExtractor = class extends DPTImageProcessor { }; var EfficientNetImageProcessor = class extends ImageProcessor { constructor(config) { super(config); this.include_top = this.config.include_top ?? true; if (this.include_top) { this.image_std = this.image_std.map((x) => x * x); } } }; var Gemma3ImageProcessor = class extends ImageProcessor { }; function get_aspect_ratio_preserving_size(height, width, patch_size, max_patches, pooling_kernel_size) { const target_px = max_patches * patch_size ** 2; const factor = Math.sqrt(target_px / (height * width)); const side_mult = pooling_kernel_size * patch_size; let target_height = Math.floor(factor * height / side_mult) * side_mult; let target_width = Math.floor(factor * width / side_mult) * side_mult; if (target_height === 0 && target_width === 0) { throw new Error( `Attempting to resize to a 0 x 0 image. Resized height should be divisible by \`pooling_kernel_size * patch_size\`=${side_mult}.` ); } const max_side_length = Math.floor(max_patches / pooling_kernel_size ** 2) * side_mult; if (target_height === 0) { target_height = side_mult; target_width = Math.min(Math.floor(width / height) * side_mult, max_side_length); } else if (target_width === 0) { target_width = side_mult; target_height = Math.min(Math.floor(height / width) * side_mult, max_side_length); } return [target_height, target_width]; } function patchify(hwc_data, H, W, C, patch_size, max_patches, pooling_kernel_size) { const num_patches_h = Math.floor(H / patch_size); const num_patches_w = Math.floor(W / patch_size); const num_patches = num_patches_h * num_patches_w; const patch_dim = patch_size * patch_size * C; const patch_data = new Float32Array(max_patches * patch_dim); let out = 0; for (let ph = 0; ph < num_patches_h; ++ph) { for (let pw = 0; pw < num_patches_w; ++pw) { for (let dy = 0; dy < patch_size; ++dy) { const row_offset = (ph * patch_size + dy) * W * C + pw * patch_size * C; for (let dx = 0; dx < patch_size; ++dx) { const src = row_offset + dx * C; for (let c = 0; c < C; ++c) { patch_data[out++] = hwc_data[src + c]; } } } } } const pos_data = new BigInt64Array(max_patches * 2).fill(-1n); let idx = 0; for (let row = 0; row < num_patches_h; ++row) { for (let col = 0; col < num_patches_w; ++col) { pos_data[idx++] = BigInt(col); pos_data[idx++] = BigInt(row); } } return { patches: new Tensor2("float32", patch_data, [max_patches, patch_dim]), positions: new Tensor2("int64", pos_data, [max_patches, 2]), num_soft_tokens: Math.floor(num_patches / pooling_kernel_size ** 2) }; } var Gemma4ImageProcessor = class extends Callable { /** @param {Record} config */ constructor(config) { super(); this.config = config; this.patch_size = config.patch_size ?? 16; this.max_soft_tokens = config.max_soft_tokens ?? 280; this.pooling_kernel_size = config.pooling_kernel_size ?? 3; this.resample = config.resample ?? 3; this.rescale_factor = config.rescale_factor ?? 1 / 255; this.do_rescale = config.do_rescale ?? true; this.do_resize = config.do_resize ?? true; this.do_convert_rgb = config.do_convert_rgb ?? true; } /** * @param {RawImage|RawImage[]} images * @returns {Promise<{ pixel_values: Tensor, image_position_ids: Tensor, num_soft_tokens_per_image: number[] }>} */ async _call(images) { if (!Array.isArray(images)) { images = [images]; } const { patch_size, pooling_kernel_size } = this; const max_patches = this.max_soft_tokens * pooling_kernel_size ** 2; const all_patches = []; const all_positions = []; const num_soft_tokens_per_image = []; for (let image of images) { if (this.do_convert_rgb) { image = image.rgb(); } if (this.do_resize) { const [target_h, target_w] = get_aspect_ratio_preserving_size( image.height, image.width, patch_size, max_patches, pooling_kernel_size ); if (target_h !== image.height || target_w !== image.width) { image = await image.resize(target_w, target_h, { resample: this.resample }); } } const pixelData = Float32Array.from(image.data); if (this.do_rescale) { for (let i = 0; i < pixelData.length; ++i) { pixelData[i] *= this.rescale_factor; } } const { patches, positions, num_soft_tokens } = patchify( pixelData, image.height, image.width, image.channels, patch_size, max_patches, pooling_kernel_size ); all_patches.push(patches); all_positions.push(positions); num_soft_tokens_per_image.push(num_soft_tokens); } return { pixel_values: stack2(all_patches, 0), image_position_ids: stack2(all_positions, 0), num_soft_tokens_per_image }; } }; var Qwen2VLImageProcessor = class extends ImageProcessor { constructor(config) { super(config); this.min_pixels = config.min_pixels ?? config.size?.shortest_edge; this.max_pixels = config.max_pixels ?? config.size?.longest_edge; this.patch_size = config.patch_size; this.merge_size = config.merge_size; } /** @type {ImageProcessor['get_resize_output_image_size']} */ get_resize_output_image_size(image, size) { const factor = this.patch_size * this.merge_size; return smart_resize(image.height, image.width, factor, this.min_pixels, this.max_pixels); } async _call(images, ...args2) { const { pixel_values, original_sizes, reshaped_input_sizes } = await super._call(images, ...args2); let patches = pixel_values; const { temporal_patch_size, merge_size, patch_size } = this.config; if (patches.dims[0] === 1) { patches = cat( Array.from({ length: temporal_patch_size }, () => patches), 0 ); } const grid_t = patches.dims[0] / temporal_patch_size; const channel = patches.dims[1]; const grid_h = Math.floor(patches.dims[2] / patch_size); const grid_w = Math.floor(patches.dims[3] / patch_size); const flatten_patches = patches.view( grid_t, temporal_patch_size, channel, Math.floor(grid_h / merge_size), merge_size, patch_size, Math.floor(grid_w / merge_size), merge_size, patch_size ).permute(0, 3, 6, 4, 7, 2, 1, 5, 8).view(grid_t * grid_h * grid_w, channel * temporal_patch_size * patch_size * patch_size); const image_grid_thw = new Tensor2("int64", [grid_t, grid_h, grid_w], [1, 3]); return { pixel_values: flatten_patches, image_grid_thw, original_sizes, reshaped_input_sizes }; } }; var Glm46VImageProcessor = class extends Qwen2VLImageProcessor { /** @type {Qwen2VLImageProcessor['get_resize_output_image_size']} */ get_resize_output_image_size(image, size) { const factor = this.patch_size * this.merge_size; const temporal_factor = this.config.temporal_patch_size ?? 2; return smart_resize(image.height, image.width, factor, this.min_pixels, this.max_pixels, temporal_factor); } }; var GLPNFeatureExtractor = class extends ImageProcessor { }; var GroundingDinoImageProcessor = class extends ImageProcessor { /** * Calls the feature extraction process on an array of images, preprocesses * each image, and concatenates the resulting features into a single Tensor. * @param {import('../../utils/image.js').RawImage[]} images The image(s) to extract features from. * @returns {Promise} An object containing the concatenated pixel values of the preprocessed images. */ async _call(images) { const result = await super._call(images); const dims = result.pixel_values.dims; const pixel_mask = ones([dims[0], dims[2], dims[3]]); return { ...result, pixel_mask }; } }; var Idefics3ImageProcessor = class extends ImageProcessor { constructor(config) { super(config); this.do_image_splitting = config.do_image_splitting ?? true; this.max_image_size = config.max_image_size; } /** * @typedef {import('../../utils/image.js').RawImage} RawImage * @typedef {import('../../utils/tensor.js').Tensor} Tensor */ /** * Calculate size to resize images to, to be multiples of `vision_encoder_max_size` while preserving the aspect ratio. * @param {Tensor} pixel_values Tensor of the image to resize. * @param {number} vision_encoder_max_size Maximum size of the output image. If the image is larger than this size, * it will be split into patches of this size, and the original image will be concatenated with the patches, resized to max_size. */ get_resize_for_vision_encoder(pixel_values, vision_encoder_max_size) { let [height, width] = pixel_values.dims.slice(-2); const aspect_ratio = width / height; if (width >= height) { width = Math.ceil(width / vision_encoder_max_size) * vision_encoder_max_size; height = Math.floor(width / aspect_ratio); height = Math.ceil(height / vision_encoder_max_size) * vision_encoder_max_size; } else { height = Math.ceil(height / vision_encoder_max_size) * vision_encoder_max_size; width = Math.floor(height * aspect_ratio); width = Math.ceil(width / vision_encoder_max_size) * vision_encoder_max_size; } return { height, width }; } /** @param {RawImage|RawImage[]|RawImage[][]} images */ async _call(images, { do_image_splitting = null, return_row_col_info = false } = {}) { let batched_2d_images; if (!Array.isArray(images)) { batched_2d_images = [[images]]; } else { if (images.length === 0 || !images[0]) { throw new Error("No images provided."); } if (!Array.isArray(images[0])) { batched_2d_images = [ /** @type {RawImage[]} */ images ]; } else { batched_2d_images = /** @type {RawImage[][]} */ images; } } let all_pixel_values = []; let images_list_rows = []; let images_list_cols = []; const original_sizes = []; const reshaped_input_sizes = []; for (const image_batch of batched_2d_images) { let images_list = await Promise.all(image_batch.map((x) => this.preprocess(x))); original_sizes.push(...images_list.map((x) => x.original_size)); reshaped_input_sizes.push(...images_list.map((x) => x.reshaped_input_size)); images_list.forEach((x) => x.pixel_values.unsqueeze_(0)); const { longest_edge } = this.max_image_size; let images_tensor; if (do_image_splitting ?? this.do_image_splitting) { let image_rows = new Array(images_list.length); let image_cols = new Array(images_list.length); images_tensor = await Promise.all( images_list.map(async (x, i) => { const new_size = this.get_resize_for_vision_encoder(x.pixel_values, longest_edge); const resized = await interpolate_4d(x.pixel_values, { size: [new_size.height, new_size.width] }); const { frames, num_splits_h, num_splits_w } = await this.split_image( resized, this.max_image_size ); image_rows[i] = num_splits_h; image_cols[i] = num_splits_w; return cat(frames, 0); }) ); images_list_rows.push(image_rows); images_list_cols.push(image_cols); } else { const size = [longest_edge, longest_edge]; images_tensor = await Promise.all(images_list.map((x) => interpolate_4d(x.pixel_values, { size }))); images_list_rows.push(new Array(images_list.length).fill(0)); images_list_cols.push(new Array(images_list.length).fill(0)); } all_pixel_values.push(cat(images_tensor, 0)); } const batch_size = all_pixel_values.length; const [n, c, h, w] = all_pixel_values[0].dims; let pixel_values; let pixel_attention_mask; if (batch_size === 1) { pixel_values = all_pixel_values[0].unsqueeze_(0); pixel_attention_mask = full([batch_size, n, h, w], true); } else { const max_num_patches = Math.max(...all_pixel_values.map((x) => x.dims.at(0))); pixel_attention_mask = full([batch_size, max_num_patches, h, w], true); const pixel_attention_mask_data = pixel_attention_mask.data; const pixel_attention_mask_stride = max_num_patches * h * w; for (let i = 0; i < batch_size; ++i) { const num_patches = all_pixel_values[i].dims[0]; if (num_patches < max_num_patches) { all_pixel_values[i] = cat( [all_pixel_values[i], full([max_num_patches - num_patches, c, h, w], 0)], 0 ); const start_offset = i * pixel_attention_mask_stride + num_patches * h * w; const end_offset = (i + 1) * pixel_attention_mask_stride; pixel_attention_mask_data.fill(false, start_offset, end_offset); } } pixel_values = stack2(all_pixel_values, 0); } return { pixel_values, pixel_attention_mask, original_sizes, reshaped_input_sizes, ...return_row_col_info ? { rows: images_list_rows, cols: images_list_cols } : {} }; } async split_image(pixel_values, { longest_edge }) { const max_height = longest_edge; const max_width = longest_edge; const frames = []; const [height, width] = pixel_values.dims.slice(-2); let num_splits_h = 0, num_splits_w = 0; if (height > max_height || width > max_width) { num_splits_h = Math.ceil(height / max_height); num_splits_w = Math.ceil(width / max_width); const optimal_height = Math.ceil(height / num_splits_h); const optimal_width = Math.ceil(width / num_splits_w); for (let r = 0; r < num_splits_h; ++r) { for (let c = 0; c < num_splits_w; ++c) { let start_x, start_y, end_x, end_y; if (r === num_splits_h - 1) { start_y = height - optimal_height; end_y = height; } else { start_y = r * optimal_height; end_y = (r + 1) * optimal_height; } if (c === num_splits_w - 1) { start_x = width - optimal_width; end_x = width; } else { start_x = c * optimal_width; end_x = (c + 1) * optimal_width; } const starts = [start_y, start_x]; const ends = [end_y, end_x]; const patch = await slice2(pixel_values, starts, ends, [2, 3]); frames.push(patch); } } const global_image_height = max_height; const global_image_width = max_width; if (height !== global_image_height || width !== global_image_width) { pixel_values = await interpolate_4d(pixel_values, { size: [global_image_height, global_image_width] }); } } frames.push(pixel_values); return { frames, num_splits_h, num_splits_w }; } }; var VLMImageProcessor = class extends ImageProcessor { constructor(config) { super({ do_pad: true, pad_size: { width: config.image_size, height: config.image_size }, ...config }); this.constant_values = this.config.background_color.map((x) => x * this.rescale_factor); } pad_image(pixelData, imgDims, padSize, options) { return super.pad_image(pixelData, imgDims, padSize, { constant_values: this.constant_values, center: true, ...options }); } }; var JinaCLIPImageProcessor = class extends ImageProcessor { constructor(config) { const { resize_mode, fill_color, interpolation, size, ...other } = config; const new_size = resize_mode === "squash" ? { width: size, height: size } : resize_mode === "shortest" ? { shortest_edge: size } : { longest_edge: size }; const resample = interpolation === "bicubic" ? 3 : 2; super({ ...other, size: new_size, resample, do_center_crop: true, crop_size: size, do_normalize: true }); } }; function round_by_factor(number, factor) { return Math.round(number / factor) * factor; } function find_closest_aspect_ratio(aspect_ratio, target_ratios, width, height, image_size) { let best_ratio_diff = Infinity; let best_ratio = [1, 1]; const area = width * height; for (const ratio of target_ratios) { const ratio_diff = Math.abs(aspect_ratio - ratio[0] / ratio[1]); if (ratio_diff < best_ratio_diff) { best_ratio_diff = ratio_diff; best_ratio = ratio; } else if (ratio_diff === best_ratio_diff && area > 0.5 * image_size * image_size * ratio[0] * ratio[1]) { best_ratio = ratio; } } return best_ratio; } function get_target_ratios(min_tiles, max_tiles) { const ratios = []; const seen = /* @__PURE__ */ new Set(); for (let n = min_tiles; n <= max_tiles; ++n) { for (let w = 1; w <= n; ++w) { for (let h = 1; h <= n; ++h) { const product2 = w * h; if (product2 >= min_tiles && product2 <= max_tiles) { const key = w << 16 | h; if (!seen.has(key)) { seen.add(key); ratios.push([w, h]); } } } } } return ratios.sort((a, b) => a[0] * a[1] - b[0] * b[1]); } function convert_image_to_patches(images, patch_size) { const [B, C, H, W] = images.dims; const ph = Math.floor(H / patch_size), pw = Math.floor(W / patch_size); const patch_dim = patch_size * patch_size * C; const data = ( /** @type {Float32Array} */ images.data ); const result = new Float32Array(B * ph * pw * patch_dim); const ch_stride = H * W; for (let b = 0; b < B; ++b) { const b_src = b * C * ch_stride; const b_dst = b * ph * pw * patch_dim; for (let py = 0; py < ph; ++py) { for (let px = 0; px < pw; ++px) { let off = b_dst + (py * pw + px) * patch_dim; for (let dy = 0; dy < patch_size; ++dy) { const row = (py * patch_size + dy) * W + px * patch_size; for (let dx = 0; dx < patch_size; ++dx) { const pixel = row + dx; for (let c = 0; c < C; ++c) { result[off++] = data[b_src + c * ch_stride + pixel]; } } } } } } return new Tensor2("float32", result, [B, ph * pw, patch_dim]); } function pad_along_first_dim(patches, target_length) { const [, len2, dim] = patches.dims; const mask_data = new BigInt64Array(target_length); mask_data.fill(1n, 0, len2); let padded = patches; if (len2 < target_length) { const padded_data = new Float32Array(target_length * dim); padded_data.set( /** @type {Float32Array} */ patches.data ); padded = new Tensor2("float32", padded_data, [1, target_length, dim]); } return { padded, mask: new Tensor2("int64", mask_data, [target_length]) }; } var Lfm2VlImageProcessor = class extends ImageProcessor { constructor(config) { super(config); this.downsample_factor = config.downsample_factor ?? 2; this.do_image_splitting = config.do_image_splitting ?? true; this.min_tiles = config.min_tiles ?? 2; this.max_tiles = config.max_tiles ?? 10; this.use_thumbnail = config.use_thumbnail ?? true; this.min_image_tokens = config.min_image_tokens ?? 64; this.max_image_tokens = config.max_image_tokens ?? 256; this.encoder_patch_size = config.encoder_patch_size ?? config.patch_size ?? 16; this.tile_size = config.tile_size ?? 512; this.max_pixels_tolerance = config.max_pixels_tolerance ?? 2; this.return_row_col_info = config.return_row_col_info ?? false; const max_thumbnail_patches = this.max_image_tokens * this.downsample_factor ** 2; const tile_size_patches = this.do_image_splitting ? (this.tile_size / this.encoder_patch_size) ** 2 : 0; this.max_num_patches = Math.max(max_thumbnail_patches, tile_size_patches); } /** * Check if the image is too large to be processed as a single tile. * @param {number} height * @param {number} width * @returns {boolean} */ _is_image_too_large(height, width) { const total_factor = this.encoder_patch_size * this.downsample_factor; const h_bar = Math.max(this.encoder_patch_size, round_by_factor(height, total_factor)); const w_bar = Math.max(this.encoder_patch_size, round_by_factor(width, total_factor)); return h_bar * w_bar > this.max_image_tokens * (this.encoder_patch_size * this.downsample_factor) ** 2 * this.max_pixels_tolerance; } /** * Get the grid layout for tiling a large image. * @param {number} height * @param {number} width * @returns {{ grid_width: number, grid_height: number, target_width: number, target_height: number }} */ _get_grid_layout(height, width) { const target_ratios = get_target_ratios(this.min_tiles, this.max_tiles); const [grid_width, grid_height] = find_closest_aspect_ratio( width / height, target_ratios, width, height, this.tile_size ); return { grid_width, grid_height, target_width: this.tile_size * grid_width, target_height: this.tile_size * grid_height }; } /** @param {RawImage|RawImage[]|RawImage[][]} images */ // @ts-expect-error async _call(images, { return_row_col_info = null } = {}) { let batched_images; if (!Array.isArray(images)) { batched_images = [[images]]; } else if (!Array.isArray(images[0])) { batched_images = [ /** @type {RawImage[]} */ images ]; } else { batched_images = /** @type {RawImage[][]} */ images; } const all_pixel_values = []; const all_pixel_masks = []; const all_spatial_shapes = []; const all_rows = []; const all_cols = []; const all_image_sizes = []; for (const image_batch of batched_images) { const preprocessed = await Promise.all(image_batch.map((x) => this.preprocess(x, { do_pad: false }))); for (const { pixel_values } of preprocessed) { const [, height, width] = pixel_values.dims; const img = pixel_values.unsqueeze_(0); const total_factor = this.encoder_patch_size * this.downsample_factor; const f2 = total_factor ** 2; const [new_width, new_height] = smart_resize( Math.max(total_factor, height), Math.max(total_factor, width), total_factor, this.min_image_tokens * f2, this.max_image_tokens * f2 ).map((x) => Math.max(total_factor, x)); let tiles; let num_rows = 1, num_cols = 1; const is_large = this._is_image_too_large(height, width); const do_splitting = this.do_image_splitting && !(this.min_tiles === 1 && this.max_tiles === 1); if (is_large && do_splitting) { const { grid_width, grid_height, target_width, target_height } = this._get_grid_layout( height, width ); num_rows = grid_height; num_cols = grid_width; const resized = await interpolate_4d(img, { size: [target_height, target_width] }); tiles = []; for (let r = 0; r < grid_height; ++r) { for (let c = 0; c < grid_width; ++c) { const y = r * this.tile_size; const x = c * this.tile_size; tiles.push(resized.slice(null, null, [y, y + this.tile_size], [x, x + this.tile_size])); } } if (this.use_thumbnail && grid_width * grid_height !== 1) { tiles.push(await interpolate_4d(img, { size: [new_height, new_width] })); } } else { tiles = [await interpolate_4d(img, { size: [new_height, new_width] })]; } for (const tile of tiles) { const [, , th, tw] = tile.dims; const patches = convert_image_to_patches(tile, this.encoder_patch_size); const { padded, mask } = pad_along_first_dim(patches, this.max_num_patches); all_pixel_values.push(padded); all_pixel_masks.push(mask); all_spatial_shapes.push([ Math.floor(th / this.encoder_patch_size), Math.floor(tw / this.encoder_patch_size) ]); } all_rows.push(num_rows); all_cols.push(num_cols); all_image_sizes.push([new_height, new_width]); } } const result = { pixel_values: cat(all_pixel_values, 0), pixel_attention_mask: stack2(all_pixel_masks, 0), spatial_shapes: new Tensor2("int64", BigInt64Array.from(all_spatial_shapes.flat(), BigInt), [ all_spatial_shapes.length, 2 ]) }; if (return_row_col_info ?? this.return_row_col_info) { result.image_rows = all_rows; result.image_cols = all_cols; result.image_sizes = all_image_sizes; } return result; } }; var LlavaOnevisionImageProcessor = class extends ImageProcessor { }; var MaskFormerImageProcessor = class extends ImageProcessor { /** @type {typeof post_process_panoptic_segmentation} */ post_process_panoptic_segmentation(...args2) { return post_process_panoptic_segmentation(...args2); } /** @type {typeof post_process_instance_segmentation} */ post_process_instance_segmentation(...args2) { return post_process_instance_segmentation(...args2); } }; var MaskFormerFeatureExtractor = class extends MaskFormerImageProcessor { }; var Mask2FormerImageProcessor = class extends MaskFormerImageProcessor { }; var MobileNetV1ImageProcessor = class extends ImageProcessor { }; var MobileNetV1FeatureExtractor = class extends MobileNetV1ImageProcessor { }; var MobileNetV2ImageProcessor = class extends ImageProcessor { }; var MobileNetV2FeatureExtractor = class extends MobileNetV2ImageProcessor { }; var MobileNetV3ImageProcessor = class extends ImageProcessor { }; var MobileNetV3FeatureExtractor = class extends MobileNetV3ImageProcessor { }; var MobileNetV4ImageProcessor = class extends ImageProcessor { }; var MobileNetV4FeatureExtractor = class extends MobileNetV4ImageProcessor { }; var MobileViTImageProcessor = class extends ImageProcessor { }; var MobileViTFeatureExtractor = class extends MobileViTImageProcessor { }; var NougatImageProcessor = class extends DonutImageProcessor { }; var OwlViTImageProcessor = class extends ImageProcessor { /** @type {typeof post_process_object_detection} */ post_process_object_detection(...args2) { return post_process_object_detection(...args2); } }; var OwlViTFeatureExtractor = class extends OwlViTImageProcessor { }; var Owlv2ImageProcessor = class extends OwlViTImageProcessor { }; var IMAGE_SIZE = 336; var SLICE_AXES = [2, 3]; var { ceil, floor, sqrt } = Math; var Phi3VImageProcessor = class extends ImageProcessor { constructor(config) { super({ ...config, do_normalize: true, do_pad: true, pad_size: "custom", do_convert_rgb: true, do_resize: true // Smart resizing "hd_transform" }); this._num_crops = config.num_crops; } calc_num_image_tokens_from_image_size(width, height) { const { num_img_tokens } = this.config; return floor( (floor(height / IMAGE_SIZE) * floor(width / IMAGE_SIZE) + 1) * num_img_tokens + 1 + (floor(height / IMAGE_SIZE) + 1) * sqrt(num_img_tokens) ); } /** @type {ImageProcessor['get_resize_output_image_size']} */ get_resize_output_image_size(image, size) { const hd_num = this._num_crops; const [width, height] = image.size; let ratio = width / height; let scale = 1; while (scale * Math.ceil(scale / ratio) <= hd_num) { scale += 1; } scale -= 1; const new_w = Math.floor(scale * 336); const new_h = Math.floor(new_w / ratio); return [new_w, new_h]; } /** @type {ImageProcessor['pad_image']} */ pad_image(pixelData, imgDims, padSize, options = {}) { const [imageHeight, imageWidth] = imgDims; const height = IMAGE_SIZE * ceil(imageHeight / IMAGE_SIZE); const width = IMAGE_SIZE * ceil(imageWidth / IMAGE_SIZE); const constant_values = [1, 1, 1].map((x, i) => (x - this.image_mean[i]) / this.image_std[i]); return super.pad_image( pixelData, imgDims, { width, height }, { center: true, constant_values, ...options } ); } async _call(images, { num_crops = null } = {}) { this._num_crops = num_crops ??= this.config.num_crops; if (num_crops < 4 || sqrt(num_crops) % 1 !== 0) { throw new Error("num_crops must be a square number >= 4"); } if (!Array.isArray(images)) { images = [images]; } const num_images = images.length; const imageData = await Promise.all(images.map((x) => this.preprocess(x))); const original_sizes = imageData.map((x) => x.original_size); const reshaped_input_sizes = imageData.map((x) => x.reshaped_input_size); const all_pixel_values = []; for (const { pixel_values: pixel_values2 } of imageData) { pixel_values2.unsqueeze_(0); const [height, width] = pixel_values2.dims.slice(-2); const batch_pixel_values = await interpolate_4d(pixel_values2, { size: [IMAGE_SIZE, IMAGE_SIZE], mode: "bicubic" }); if (num_crops > 0) { const patches = []; const sqrt_patches = sqrt(num_crops); const patch_width = floor(width / sqrt_patches); const patch_height = floor(height / sqrt_patches); for (let y = 0; y < sqrt_patches; ++y) { for (let x = 0; x < sqrt_patches; ++x) { let start_x, start_y, end_x, end_y; if (y === sqrt_patches - 1) { start_y = height - patch_height; end_y = height; } else { start_y = y * patch_height; end_y = (y + 1) * patch_height; } if (x === sqrt_patches - 1) { start_x = width - patch_width; end_x = width; } else { start_x = x * patch_width; end_x = (x + 1) * patch_width; } const starts = [start_y, start_x]; const ends = [end_y, end_x]; const patch = await slice2(pixel_values2, starts, ends, SLICE_AXES); patches.push(patch); } } const resized_tensors = await interpolate_4d(cat(patches, 0), { size: [IMAGE_SIZE, IMAGE_SIZE], mode: "bicubic" }); all_pixel_values.push(cat([batch_pixel_values, resized_tensors], 0)); } else { all_pixel_values.push(batch_pixel_values); } } const pixel_values = stack2(all_pixel_values, 0); const sizes = reshaped_input_sizes.map((x) => x.map((y) => IMAGE_SIZE * ceil(y / IMAGE_SIZE))); const image_sizes = new Tensor2("int64", sizes.flat(), [num_images, 2]); const num_img_tokens = sizes.map( ([height, width]) => this.calc_num_image_tokens_from_image_size(width, height) ); return { pixel_values, original_sizes, reshaped_input_sizes, image_sizes, num_img_tokens }; } }; var PixtralImageProcessor = class extends ImageProcessor { /** @type {ImageProcessor['get_resize_output_image_size']} */ get_resize_output_image_size(image, size) { const { longest_edge } = size; if (longest_edge === void 0) { throw new Error("size must contain 'longest_edge'"); } const [srcWidth, srcHeight] = image.size; const ratio = Math.max(srcWidth, srcHeight) / longest_edge; let newWidth = srcWidth; let newHeight = srcHeight; if (ratio > 1) { newWidth = Math.floor(srcWidth / ratio); newHeight = Math.floor(srcHeight / ratio); } const { patch_size, spatial_merge_size } = this.config; if (!spatial_merge_size) { throw new Error("config must contain 'spatial_merge_size'"); } const real_patch_size = patch_size * spatial_merge_size; const num_width_tokens = Math.floor((newWidth - 1) / real_patch_size) + 1; const num_height_tokens = Math.floor((newHeight - 1) / real_patch_size) + 1; return [num_width_tokens * real_patch_size, num_height_tokens * real_patch_size]; } }; var PvtImageProcessor = class extends ImageProcessor { }; var RTDetrImageProcessor = class extends ImageProcessor { /** @type {typeof post_process_object_detection} */ post_process_object_detection(...args2) { return post_process_object_detection(...args2); } }; var SamImageProcessor = class extends ImageProcessor { /** * * @param {any} input_points * @param {import("../../image_processors_utils.js").HeightWidth[]} original_sizes * @param {import("../../image_processors_utils.js").HeightWidth[]} reshaped_input_sizes * @returns {Tensor} */ reshape_input_points(input_points, original_sizes, reshaped_input_sizes, is_bounding_box = false) { input_points = structuredClone(input_points); let shape = calculateDimensions(input_points); if (shape.length === 3) { if (!is_bounding_box) { shape = [1, ...shape]; } input_points = [input_points]; } else if (shape.length !== 4) { throw Error( "The input_points must be a 4D tensor of shape `batch_size`, `point_batch_size`, `nb_points_per_image`, `2`." ); } for (let i = 0; i < input_points.length; ++i) { const [originalHeight, originalWidth] = original_sizes[i]; const [reshapedHeight, reshapedWidth] = reshaped_input_sizes[i]; const resizeFactors = [reshapedWidth / originalWidth, reshapedHeight / originalHeight]; for (let j = 0; j < input_points[i].length; ++j) { for (let k2 = 0; k2 < input_points[i][j].length; ++k2) { for (let w = 0; w < input_points[i][j][k2].length; ++w) { input_points[i][j][k2][w] *= resizeFactors[w % 2]; } } } } return new Tensor2("float32", Float32Array.from(input_points.flat(Infinity)), shape); } /** * * @param {any} input_labels * @param {Tensor} input_points * @returns {Tensor} */ add_input_labels(input_labels, input_points) { let shape = calculateDimensions(input_labels); if (shape.length === 2) { shape = [1, ...shape]; input_labels = [input_labels]; } else if (shape.length !== 3) { throw Error( "The input_points must be a 4D tensor of shape `batch_size`, `point_batch_size`, `nb_points_per_image`, `2`." ); } if (shape.some((x, i) => x !== input_points.dims[i])) { throw Error(`The first ${shape.length} dimensions of 'input_points' and 'input_labels' must be the same.`); } return new Tensor2("int64", input_labels.flat(Infinity).map(BigInt), shape); } /** * @param {any[]} images The URL(s) of the image(s) to extract features from. * @param {Object} [options] Additional options for the processor. * @param {any} [options.input_points=null] A 3D or 4D array, representing the input points provided by the user. * - 3D: `[point_batch_size, nb_points_per_image, 2]`. In this case, `batch_size` is assumed to be 1. * - 4D: `[batch_size, point_batch_size, nb_points_per_image, 2]`. * @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. * - 2D: `[point_batch_size, nb_points_per_image]`. In this case, `batch_size` is assumed to be 1. * - 3D: `[batch_size, point_batch_size, nb_points_per_image]`. * @param {number[][][]} [options.input_boxes=null] A 3D array of shape `(batch_size, num_boxes, 4)`, representing the input boxes provided by the user. * This is used by the prompt encoder to encode the prompt. Generally yields to much better generated masks. * The processor will generate a tensor, with each dimension corresponding respectively to the image batch size, * the number of boxes per image and the coordinates of the top left and botton right point of the box. * In the order (`x1`, `y1`, `x2`, `y2`): * - `x1`: the x coordinate of the top left point of the input box * - `y1`: the y coordinate of the top left point of the input box * - `x2`: the x coordinate of the bottom right point of the input box * - `y2`: the y coordinate of the bottom right point of the input box * @returns {Promise} */ async _call(images, { input_points = null, input_labels = null, input_boxes = null } = {}) { const processed = await super._call(images); if (input_points) { processed.input_points = this.reshape_input_points( input_points, processed.original_sizes, processed.reshaped_input_sizes ); } if (input_labels) { if (!processed.input_points) { throw Error("`input_points` must be provided if `input_labels` are provided."); } processed.input_labels = this.add_input_labels(input_labels, processed.input_points); } if (input_boxes) { processed.input_boxes = this.reshape_input_points( input_boxes, processed.original_sizes, processed.reshaped_input_sizes, true ); } return processed; } /** * Remove padding and upscale masks to the original image size. * @param {Tensor} masks Batched masks from the mask_decoder in (batch_size, num_channels, height, width) format. * @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. * @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. * @param {Object} options Optional parameters for post-processing. * @param {number} [options.mask_threshold] The threshold to use for binarizing the masks. * @param {boolean} [options.binarize] Whether to binarize the masks. * @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`. * @param {number} [options.pad_size.height] The height the images were padded to. * @param {number} [options.pad_size.width] The width the images were padded to. * @returns {Promise} Batched masks in batch_size, num_channels, height, width) format, where (height, width) is given by original_size. */ async post_process_masks(masks, original_sizes, reshaped_input_sizes, { mask_threshold = 0, binarize = true, pad_size = null } = {}) { const output_masks = []; pad_size = pad_size ?? this.pad_size ?? this.size; const target_image_size = [pad_size.height, pad_size.width]; for (let i = 0; i < original_sizes.length; ++i) { const original_size = original_sizes[i]; const reshaped_input_size = reshaped_input_sizes[i]; let interpolated_mask = await interpolate_4d(masks[i], { mode: "bilinear", size: target_image_size }); interpolated_mask = interpolated_mask.slice( null, null, [0, reshaped_input_size[0]], [0, reshaped_input_size[1]] ); interpolated_mask = await interpolate_4d(interpolated_mask, { mode: "bilinear", size: original_size }); if (binarize) { const data = interpolated_mask.data; const binarizedMaskData = new Uint8Array(data.length); for (let i2 = 0; i2 < data.length; ++i2) { if (data[i2] > mask_threshold) { binarizedMaskData[i2] = 1; } } interpolated_mask = new Tensor2("bool", binarizedMaskData, interpolated_mask.dims); } output_masks.push(interpolated_mask); } return output_masks; } /** * Generates a list of crop boxes of different sizes. Each layer has (2**i)**2 boxes for the ith layer. * @param {import("../../utils/image.js").RawImage} image Input original image * @param {number} target_size Target size of the resized image * @param {Object} options Options for generating crop boxes * @param {number} [options.crop_n_layers] If >0, mask prediction will be run again on crops of the image. * Sets the number of layers to run, where each layer has 2**i_layer number of image crops. * @param {number} [options.overlap_ratio] Sets the degree to which crops overlap. In the first crop layer, * crops will overlap by this fraction of the image length. Later layers with more crops scale down this overlap. * @param {number} [options.points_per_crop] Number of points to sample from each crop. * @param {number} [options.crop_n_points_downscale_factor] The number of points-per-side sampled in layer n is * scaled down by crop_n_points_downscale_factor**n. * @returns {Object} An object containing the crop boxes, number of points per crop, cropped images, and input labels. */ generate_crop_boxes(image, target_size, { crop_n_layers = 0, overlap_ratio = 512 / 1500, points_per_crop = 32, crop_n_points_downscale_factor = 1 } = {}) { } }; var SapiensImageProcessor = class extends ImageProcessor { /** @type {typeof post_process_semantic_segmentation} */ post_process_semantic_segmentation(...args2) { return post_process_semantic_segmentation(...args2); } }; var SapiensFeatureExtractor = class extends SapiensImageProcessor { }; var SegformerImageProcessor = class extends ImageProcessor { /** @type {typeof post_process_semantic_segmentation} */ post_process_semantic_segmentation(...args2) { return post_process_semantic_segmentation(...args2); } }; var SegformerFeatureExtractor = class extends SegformerImageProcessor { }; var SiglipImageProcessor = class extends ImageProcessor { }; var Swin2SRImageProcessor = class extends ImageProcessor { pad_image(pixelData, imgDims, padSize, options = {}) { const [imageHeight, imageWidth, imageChannels] = imgDims; return super.pad_image( pixelData, imgDims, { // NOTE: For Swin2SR models, the original python implementation adds padding even when the image's width/height is already // a multiple of `pad_size`. However, this is most likely a bug (PR: https://github.com/mv-lab/swin2sr/pull/19). // For this reason, we only add padding when the image's width/height is not a multiple of `pad_size`. width: imageWidth + (padSize - imageWidth % padSize) % padSize, height: imageHeight + (padSize - imageHeight % padSize) % padSize }, { mode: "symmetric", center: false, constant_values: -1, ...options } ); } }; var ViTImageProcessor = class extends ImageProcessor { }; var ViTFeatureExtractor = class extends ViTImageProcessor { }; var VitMatteImageProcessor = class extends ImageProcessor { /** * Calls the feature extraction process on an array of images, preprocesses * each image, and concatenates the resulting features into a single Tensor. * @param {import("../../utils/image.js").RawImage[]} images The image(s) to extract features from. * @param {import("../../utils/image.js").RawImage[]} trimaps The trimaps(s) to extract features from. * @returns {Promise} An object containing the concatenated pixel values of the preprocessed images. */ async _call(images, trimaps) { if (!Array.isArray(images)) { images = [images]; } if (!Array.isArray(trimaps)) { trimaps = [trimaps]; } const imageData = await Promise.all(images.map((x) => this.preprocess(x))); const trimapData = await Promise.all( trimaps.map( (x) => this.preprocess(x, { do_normalize: false, do_convert_rgb: false, do_convert_grayscale: true }) ) ); const pixel_values = stack2( imageData.map( // Concatenate images and trimaps (x, i) => cat([x.pixel_values, trimapData[i].pixel_values], 0) ), 0 ); return { pixel_values, // Original sizes of images original_sizes: imageData.map((x) => x.original_size), // Reshaped sizes of images, before padding or cropping reshaped_input_sizes: imageData.map((x) => x.reshaped_input_size) }; } }; var VitPoseImageProcessor = class extends ImageProcessor { /** * Transform the heatmaps into keypoint predictions and transform them back to the image. * NOTE: This is a naive implementation and does not include advanced post-processing techniques, * so the results may not be as accurate as the original implementation. * @param {import('../../utils/tensor.js').Tensor} outputs The model outputs. * @param {[number, number, number, number][][]} boxes List or array of bounding boxes for each image. * 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). * @returns {{ * bbox: [number, number, number, number], * scores: number[], * labels: number[], * keypoints: [number, number][] * }[][]} List of keypoints predictions for each image. */ post_process_pose_estimation(outputs, boxes, { threshold = null // TODO: // kernel_size = 11, // target_sizes = null, } = {}) { const heatmaps = outputs.tolist(); const [batch_size, num_classes, height, width] = outputs.dims; const results = []; for (let b = 0; b < batch_size; ++b) { const heatmap = heatmaps[b]; const bboxes = boxes[b]; const batch_results = []; for (let n = 0; n < bboxes.length; ++n) { const bbox = bboxes[n]; const keypoints = []; const scores = []; const labels = []; const xScale = bbox.at(-2) / width; const yScale = bbox.at(-1) / height; for (let c = 0; c < heatmap.length; ++c) { let [xWeightedSum, yWeightedSum] = [0, 0]; let sum = 0; let score = -Infinity; const row = heatmap[c]; for (let y = 0; y < row.length; ++y) { const col = row[y]; for (let x = 0; x < col.length; ++x) { const value = col[x]; sum += value; score = Math.max(score, value); xWeightedSum += (x + 0.5) * value; yWeightedSum += y * value; } } if (threshold != null && score < threshold) continue; const keypoint = [xScale * xWeightedSum / sum, yScale * yWeightedSum / sum]; keypoints.push(keypoint); labels.push(c); scores.push(score); } batch_results.push({ bbox, scores, labels, keypoints }); } results.push(batch_results); } return results; } }; var YolosImageProcessor = class extends ImageProcessor { /** @type {typeof post_process_object_detection} */ post_process_object_detection(...args2) { return post_process_object_detection(...args2); } }; var YolosFeatureExtractor = class extends YolosImageProcessor { }; var AutoImageProcessor = class { /** @type {typeof ImageProcessor.from_pretrained} */ static async from_pretrained(pretrained_model_name_or_path, options = {}) { const preprocessorConfig = await getModelJSON( pretrained_model_name_or_path, IMAGE_PROCESSOR_NAME, true, options ); const key = preprocessorConfig.image_processor_type ?? preprocessorConfig.feature_extractor_type; let image_processor_class = image_processors_exports[key?.replace(/Fast$/, "")]; if (!image_processor_class) { if (key !== void 0) { logger.warn( `Image processor type '${key}' not found, assuming base ImageProcessor. Please report this at ${GITHUB_ISSUE_URL}.` ); } image_processor_class = ImageProcessor; } return new image_processor_class(preprocessorConfig); } }; var Florence2Processor = (_f = class extends Processor { constructor(config, components, chat_template) { super(config, components, chat_template); const { // @ts-expect-error TS2339 tasks_answer_post_processing_type, // @ts-expect-error TS2339 task_prompts_without_inputs, // @ts-expect-error TS2339 task_prompts_with_input } = this.image_processor.config; this.tasks_answer_post_processing_type = new Map(Object.entries(tasks_answer_post_processing_type ?? {})); this.task_prompts_without_inputs = new Map(Object.entries(task_prompts_without_inputs ?? {})); this.task_prompts_with_input = new Map(Object.entries(task_prompts_with_input ?? {})); this.regexes = { quad_boxes: /(.+?)/gm, bboxes: /([^<]+)?/gm }; this.size_per_bin = 1e3; } /** * Helper function to construct prompts from input texts * @param {string|string[]} text * @returns {string[]} */ construct_prompts(text) { if (typeof text === "string") { text = [text]; } const prompts = []; for (const t of text) { if (this.task_prompts_without_inputs.has(t)) { prompts.push(this.task_prompts_without_inputs.get(t)); } else { for (const [task, prompt] of this.task_prompts_with_input) { if (t.includes(task)) { prompts.push(prompt.replaceAll("{input}", t).replaceAll(task, "")); break; } } if (prompts.length !== text.length) { prompts.push(t); } } } return prompts; } /** * Post-process the output of the model to each of the task outputs. * @param {string} text The text to post-process. * @param {string} task The task to post-process the text for. * @param {[number, number]} image_size The size of the image. height x width. */ post_process_generation(text, task, image_size) { const task_answer_post_processing_type = this.tasks_answer_post_processing_type.get(task) ?? "pure_text"; text = text.replaceAll("", "").replaceAll("", ""); let final_answer; switch (task_answer_post_processing_type) { case "pure_text": final_answer = text; break; case "description_with_bboxes": case "bboxes": case "phrase_grounding": case "ocr": const key = task_answer_post_processing_type === "ocr" ? "quad_boxes" : "bboxes"; const matches = text.matchAll(this.regexes[key]); const labels = []; const items = []; for (const [_, label, ...locations] of matches) { labels.push(label ? label.trim() : labels.at(-1) ?? ""); items.push( locations.map( (x, i) => ( // NOTE: Add 0.5 to use the center position of the bin as the coordinate. (Number(x) + 0.5) / this.size_per_bin * image_size[i % 2] ) ) ); } final_answer = { labels, [key]: items }; break; default: throw new Error(`Task "${task}" (of type "${task_answer_post_processing_type}") not yet implemented.`); } return { [task]: final_answer }; } // NOTE: images and text are switched from the python version // `images` is required, `text` is optional async _call(images, text = null, kwargs = {}) { if (!images && !text) { throw new Error("Either text or images must be provided"); } const image_inputs = await this.image_processor(images, kwargs); const text_inputs = text ? this.tokenizer(this.construct_prompts(text), kwargs) : {}; return { ...image_inputs, ...text_inputs }; } }, __publicField2(_f, "tokenizer_class", AutoTokenizer), __publicField2(_f, "image_processor_class", AutoImageProcessor), _f); var Gemma3Processor = (_g = class extends Processor { constructor(config, components, chat_template) { super(config, components, chat_template); this.image_seq_length = this.config.image_seq_length; const { boi_token, image_token, eoi_token } = this.tokenizer.config; this.boi_token = boi_token; this.image_token = image_token; this.eoi_token = eoi_token; const image_tokens_expanded = image_token.repeat(this.image_seq_length); this.full_image_sequence = ` ${boi_token}${image_tokens_expanded}${eoi_token} `; } /** * @param {string|string[]} text * @param {import('../../utils/image.js').RawImage|import('../../utils/image.js').RawImage[]} [images] * @param {Object} [options] */ async _call(text, images = null, options = {}) { if (typeof text === "string") { text = [text]; } let image_inputs; if (images) { image_inputs = await this.image_processor(images, options); text = text.map((prompt) => prompt.replaceAll(this.boi_token, this.full_image_sequence)); } const text_inputs = this.tokenizer(text, options); return { ...text_inputs, ...image_inputs }; } }, __publicField2(_g, "tokenizer_class", AutoTokenizer), __publicField2(_g, "image_processor_class", AutoImageProcessor), __publicField2(_g, "uses_processor_config", true), __publicField2(_g, "uses_chat_template_file", true), _g); var Gemma3nProcessor = (_h = class extends Processor { constructor(config, components, chat_template) { super(config, components, chat_template); this.audio_seq_length = this.config.audio_seq_length; this.image_seq_length = this.config.image_seq_length; const { // Audio tokens audio_token_id, boa_token, audio_token, eoa_token, // Image tokens image_token_id, boi_token, image_token, eoi_token } = this.tokenizer.config; this.audio_token_id = audio_token_id; this.boa_token = boa_token; this.audio_token = audio_token; const audio_tokens_expanded = audio_token.repeat(this.audio_seq_length); this.full_audio_sequence = ` ${boa_token}${audio_tokens_expanded}${eoa_token} `; this.image_token_id = image_token_id; this.boi_token = boi_token; this.image_token = image_token; const image_tokens_expanded = image_token.repeat(this.image_seq_length); this.full_image_sequence = ` ${boi_token}${image_tokens_expanded}${eoi_token} `; } /** * * @param {string|string[]} text * @param {RawImage|RawImage[]|RawImage[][]} images * @param {RawAudio|RawAudio[]|RawAudio[][]} audio * @returns {Promise} */ async _call(text, images = null, audio = null, options = {}) { if (typeof text === "string") { text = [text]; } let audio_inputs; if (audio) { audio_inputs = await this.feature_extractor(audio, options); text = text.map((prompt) => prompt.replaceAll(this.audio_token, this.full_audio_sequence)); } let image_inputs; if (images) { image_inputs = await this.image_processor(images, options); text = text.map((prompt) => prompt.replaceAll(this.image_token, this.full_image_sequence)); } let text_inputs = this.tokenizer(text, options); return { ...text_inputs, ...image_inputs, ...audio_inputs }; } }, __publicField2(_h, "image_processor_class", AutoImageProcessor), __publicField2(_h, "feature_extractor_class", AutoFeatureExtractor), __publicField2(_h, "tokenizer_class", AutoTokenizer), __publicField2(_h, "uses_processor_config", true), __publicField2(_h, "uses_chat_template_file", true), _h); var Gemma4Processor = (_i = class extends Processor { constructor(config, components, chat_template) { super(config, components, chat_template); this.audio_ms_per_token = this.config.audio_ms_per_token ?? 40; this.audio_seq_length = this.config.audio_seq_length ?? 750; this.image_seq_length = this.config.image_seq_length ?? 280; const { audio_token, boa_token, eoa_token, image_token, boi_token, eoi_token } = this.tokenizer.config; this.audio_token = audio_token; this.boa_token = boa_token; this.eoa_token = eoa_token; this.image_token = image_token; this.boi_token = boi_token; this.eoi_token = eoi_token; } static async from_pretrained(pretrained_model_name_or_path, options = {}) { const [config, tokenizer, chat_template] = await Promise.all([ getModelJSON(pretrained_model_name_or_path, PROCESSOR_NAME, true, options), AutoTokenizer.from_pretrained(pretrained_model_name_or_path, options), getModelText(pretrained_model_name_or_path, CHAT_TEMPLATE_NAME, false, options) ]); const components = { tokenizer }; if (config.image_processor) { components.image_processor = new Gemma4ImageProcessor(config.image_processor); } if (config.feature_extractor) { components.feature_extractor = new Gemma4AudioFeatureExtractor(config.feature_extractor); } return new this(config, components, chat_template); } /** * Compute the number of audio soft tokens for a single waveform. * Replicates the audio encoder's sequence-length arithmetic: * mel framing → two SSCP conv layers (kernel=3, stride=2) → cap. * @param {number} num_samples * @param {number} sampling_rate * @returns {number} */ _compute_audio_num_tokens(num_samples, sampling_rate) { const frame_length = Math.round(sampling_rate * 20 / 1e3); const hop_length = Math.round(sampling_rate * 10 / 1e3); const pad_left = Math.floor(frame_length / 2); let t = Math.floor((num_samples + pad_left - frame_length - 1) / hop_length) + 1; if (t <= 0) return 0; for (let i = 0; i < 2; ++i) t = Math.floor((t - 1) / 2) + 1; return Math.min(t, this.audio_seq_length); } async _call(text, images = null, audio = null, options = {}) { if (typeof text === "string") { text = [text]; } let image_inputs; if (images) { image_inputs = await this.image_processor(images, options); const counts = image_inputs.num_soft_tokens_per_image; let i = 0; text = text.map( (t) => t.replaceAll( this.image_token, () => ` ${this.boi_token}${this.image_token.repeat(counts[i++])}${this.eoi_token} ` ) ); } let audio_inputs; if (audio) { const audio_array = Array.isArray(audio) ? audio : [audio]; audio_inputs = await this.feature_extractor(audio_array[0], options); const sampling_rate = this.feature_extractor.config.sampling_rate ?? 16e3; let i = 0; text = text.map( (t) => t.replaceAll( this.audio_token, () => ` ${this.boa_token}${this.audio_token.repeat(this._compute_audio_num_tokens(audio_array[i++].length, sampling_rate))}${this.eoa_token} ` ) ); } return { ...this.tokenizer(text, options), ...image_inputs, ...audio_inputs }; } }, __publicField2(_i, "uses_processor_config", true), __publicField2(_i, "uses_chat_template_file", true), _i); var Qwen2VLProcessor = (_j = class extends Processor { /** * * @param {string|string[]} text * @param {RawImage|RawImage[]} images * @param {...any} args * @returns {Promise} */ async _call(text, images = null, ...args2) { if (!Array.isArray(text)) { text = [text]; } let image_inputs, image_grid_thw; if (images) { image_inputs = await this.image_processor(images); image_grid_thw = image_inputs.image_grid_thw; } if (image_grid_thw) { let merge_length = this.image_processor.config.merge_size ** 2; let index = 0; const image_token = ( /** @type {typeof Qwen2VLProcessor} */ this.constructor.image_token ); const image_grid_thw_list = image_grid_thw.tolist(); text = text.map((t) => { while (t.includes(image_token)) { const prod = Number(image_grid_thw_list[index++].reduce((a, b) => a * b, 1n)); t = t.replace(image_token, "<|placeholder|>".repeat(Math.floor(prod / merge_length))); } return t.replaceAll("<|placeholder|>", image_token); }); } const text_inputs = this.tokenizer(text); return { ...text_inputs, ...image_inputs }; } }, __publicField2(_j, "image_processor_class", AutoImageProcessor), __publicField2(_j, "tokenizer_class", AutoTokenizer), __publicField2(_j, "image_token", "<|image_pad|>"), _j); var Glm46VProcessor = (_k = class extends Qwen2VLProcessor { }, __publicField2(_k, "image_token", "<|image|>"), _k); var GraniteSpeechProcessor = (_l = class extends Processor { /** * Compute the number of audio tokens for a given raw audio length. * @param {number} audioLength Raw audio sample count. * @returns {number} Number of projector output tokens. */ _get_num_audio_features(audioLength) { const { hop_length } = this.feature_extractor.config.melspec_kwargs; const { projector_window_size, projector_downsample_rate } = this.feature_extractor.config; const effective_window_size = Math.floor(projector_window_size / projector_downsample_rate); const mel_length = Math.floor(audioLength / hop_length) + 1; const encoder_length = Math.floor(mel_length / 2); const nblocks = Math.ceil(encoder_length / projector_window_size); return nblocks * effective_window_size; } /** * @param {string} text The text input to process. * @param {Float32Array} audio The audio input to process. */ async _call(text, audio = null, kwargs = {}) { if (Array.isArray(text)) { throw new Error("Batched inputs are not supported yet."); } let audio_inputs = {}; if (audio) { const { input_features } = await this.feature_extractor(audio); audio_inputs["input_features"] = input_features; const audio_embed_size = this._get_num_audio_features(audio.length); const mask_data = new Uint8Array(audio_embed_size).fill(1); audio_inputs["input_features_mask"] = new Tensor2("bool", mask_data, [1, audio_embed_size]); const audio_token = this.config.audio_token ?? "<|audio|>"; if (!text.includes(audio_token)) { throw new Error(`The input text does not contain the audio token ${audio_token}.`); } text = text.replaceAll(audio_token, audio_token.repeat(audio_embed_size)); } const text_inputs = this.tokenizer(text, { add_special_tokens: false, ...kwargs }); return { ...text_inputs, ...audio_inputs }; } }, __publicField2(_l, "tokenizer_class", AutoTokenizer), __publicField2(_l, "feature_extractor_class", AutoFeatureExtractor), __publicField2(_l, "uses_processor_config", true), _l); function get_phrases_from_posmap(posmaps, input_ids) { const left_idx = 0; const right_idx = posmaps.dims.at(-1) - 1; const posmaps_list = posmaps.tolist(); posmaps_list.fill(false, 0, left_idx + 1); posmaps_list.fill(false, right_idx); const input_ids_list = input_ids.tolist(); return posmaps_list.map((val, idx) => val ? idx : null).filter((idx) => idx !== null).map((i) => input_ids_list[i]); } var GroundingDinoProcessor = (_m = class extends Processor { /** * @typedef {import('../../utils/image.js').RawImage} RawImage */ /** * * @param {RawImage|RawImage[]|RawImage[][]} images * @param {string|string[]} text * @returns {Promise} */ async _call(images, text, options = {}) { const image_inputs = images ? await this.image_processor(images, options) : {}; const text_inputs = text ? this.tokenizer(text, options) : {}; return { ...text_inputs, ...image_inputs }; } post_process_grounded_object_detection(outputs, input_ids, { box_threshold = 0.25, text_threshold = 0.25, target_sizes = null } = {}) { const { logits, pred_boxes } = outputs; const batch_size = logits.dims[0]; if (target_sizes !== null && target_sizes.length !== batch_size) { throw Error("Make sure that you pass in as many target sizes as the batch dimension of the logits"); } const num_queries = logits.dims.at(1); const probs = logits.sigmoid(); const scores = probs.max(-1).tolist(); const boxes = pred_boxes.tolist().map((batch) => batch.map((box) => center_to_corners_format(box))); const results = []; for (let i = 0; i < batch_size; ++i) { const target_size = target_sizes !== null ? target_sizes[i] : null; if (target_size !== null) { boxes[i] = boxes[i].map((box) => box.map((x, j) => x * target_size[(j + 1) % 2])); } const batch_scores = scores[i]; const final_scores = []; const final_phrases = []; const final_boxes = []; for (let j = 0; j < num_queries; ++j) { const score = batch_scores[j]; if (score <= box_threshold) { continue; } const box = boxes[i][j]; const prob = probs[i][j]; final_scores.push(score); final_boxes.push(box); const phrases = get_phrases_from_posmap(prob.gt(text_threshold), input_ids[i]); final_phrases.push(phrases); } results.push({ scores: final_scores, boxes: final_boxes, labels: this.batch_decode(final_phrases) }); } return results; } }, __publicField2(_m, "tokenizer_class", AutoTokenizer), __publicField2(_m, "image_processor_class", AutoImageProcessor), _m); function _prompt_split_image(image_seq_len, image_rows, image_cols, fake_token_around_image, image_token, global_img_token) { let text_split_images = ""; for (let n_h = 0; n_h < image_rows; ++n_h) { for (let n_w = 0; n_w < image_cols; ++n_w) { text_split_images += fake_token_around_image + `` + image_token.repeat(image_seq_len); } text_split_images += "\n"; } text_split_images += ` ${fake_token_around_image}${global_img_token}` + image_token.repeat(image_seq_len) + `${fake_token_around_image}`; return text_split_images; } function _prompt_single_image(image_seq_len, fake_token_around_image, image_token, global_img_token) { return `${fake_token_around_image}${global_img_token}` + image_token.repeat(image_seq_len) + `${fake_token_around_image}`; } function get_image_prompt_string(image_rows, image_cols, image_seq_len, fake_token_around_image, image_token, global_img_token) { if (image_rows === 0 && image_cols === 0) { return _prompt_single_image(image_seq_len, fake_token_around_image, image_token, global_img_token); } return _prompt_split_image( image_seq_len, image_rows, image_cols, fake_token_around_image, image_token, global_img_token ); } var Idefics3Processor = (_n = class extends Processor { fake_image_token = ""; image_token = ""; global_img_token = ""; /** * * @param {string|string[]} text * @param {RawImage|RawImage[]|RawImage[][]} images * @returns {Promise} */ async _call(text, images = null, options = {}) { options.return_row_col_info ??= true; let image_inputs; if (images) { image_inputs = await this.image_processor(images, options); } if (!Array.isArray(text)) { text = [text]; } const image_rows = image_inputs.rows ?? [new Array(text.length).fill(0)]; const image_cols = image_inputs.cols ?? [new Array(text.length).fill(0)]; const image_seq_len = this.config.image_seq_len; const n_images_in_text = []; const prompt_strings = []; for (let i = 0; i < text.length; ++i) { const sample = text[i]; const sample_rows = image_rows[i]; const sample_cols = image_cols[i]; n_images_in_text.push(count(sample, this.image_token)); const image_prompt_strings = sample_rows.map( (n_rows, j) => get_image_prompt_string( n_rows, sample_cols[j], image_seq_len, this.fake_image_token, this.image_token, this.global_img_token ) ); const split_sample = sample.split(this.image_token); if (split_sample.length === 0) { throw new Error("The image token should be present in the text."); } let new_sample = split_sample[0]; for (let j = 0; j < image_prompt_strings.length; ++j) { new_sample += image_prompt_strings[j] + split_sample[j + 1]; } prompt_strings.push(new_sample); } const text_inputs = this.tokenizer(prompt_strings); return { ...text_inputs, ...image_inputs }; } }, __publicField2(_n, "image_processor_class", AutoImageProcessor), __publicField2(_n, "tokenizer_class", AutoTokenizer), __publicField2(_n, "uses_processor_config", true), _n); var VLChatProcessor = (_o = class extends Processor { constructor(config, components, chat_template) { super(config, components, chat_template); this.image_tag = this.config.image_tag; this.image_start_tag = this.config.image_start_tag; this.image_end_tag = this.config.image_end_tag; this.num_image_tokens = this.config.num_image_tokens; } /** * @typedef {Object} MultimodalMessageProperties Additional properties for multimodal messages. * @property {(RawImage | string | URL)[]} [images] The images in the message. * @typedef {(import('../../tokenization_utils.js').Message & MultimodalMessageProperties)[]} MultimodalConversation The conversation possibly containing multimodal inputs. */ /** * @typedef {Object} VLCChatProcessorResult The processed input. * @property {Tensor} input_ids The input IDs. * @property {Tensor} attention_mask The attention mask. * @property {Tensor} images_seq_mask The image sequence mask. * @property {Tensor} images_emb_mask The image embedding mask. */ /** * @param {MultimodalConversation} conversation The chat messages to process. * @param {Object} options Additional options for processing. * @param {RawImage|RawImage[]} [options.images] The images to process, if not set in the conversation. * @param {string} [options.chat_template="default"] The chat template to use. * @returns {Promise} The processed input. */ async _call(conversation, { images = null, chat_template = "default" } = {}) { if (!images) { images = await Promise.all( conversation.filter((msg) => msg.images).flatMap((msg) => msg.images).map((img) => RawImage.read(img)) ); } else if (!Array.isArray(images)) { images = [images]; } const tokenizer = this.tokenizer; const result = tokenizer.apply_chat_template(conversation, { tokenize: false, add_generation_prompt: true, chat_template }); const encode = (text) => tokenizer.encode(text, { add_special_tokens: false }); const parts = ( /** @type {string} */ result.split(this.image_tag) ); const num_images = parts.length - 1; if (images.length !== num_images) { throw new Error( `Number of images provided (${images.length}) does not match number of "${this.image_tag}" image tags (${num_images})` ); } const [image_placeholder_tag_id, image_start_tag_id, image_end_tag_id] = tokenizer.convert_tokens_to_ids([ this.image_tag, this.image_start_tag, this.image_end_tag ]); let input_ids = encode(parts[0]); let images_seq_mask = new Array(input_ids.length).fill(false); for (let i = 1; i < parts.length; ++i) { const placeholder_image_tokens = new Array(this.num_image_tokens).fill(image_placeholder_tag_id); const tokens = encode(parts[i]); input_ids = mergeArrays( input_ids, [image_start_tag_id], placeholder_image_tokens, [image_end_tag_id], tokens ); const image_mask = new Array(this.num_image_tokens).fill(true); images_seq_mask = mergeArrays( images_seq_mask, [false], image_mask, [false], new Array(tokens.length).fill(false) ); } const dims = [1, input_ids.length]; const final = { input_ids: new Tensor2("int64", input_ids, dims), attention_mask: new Tensor2("int64", new Array(input_ids.length).fill(1), dims), images_seq_mask: new Tensor2("bool", images_seq_mask, dims), images_emb_mask: new Tensor2("bool", new Array(num_images * this.num_image_tokens).fill(true), [ 1, num_images, this.num_image_tokens ]) }; if (images && images.length > 0) { const image_inputs = await this.image_processor(images); image_inputs.pixel_values.unsqueeze_(0); return { ...final, ...image_inputs }; } return final; } }, __publicField2(_o, "image_processor_class", AutoImageProcessor), __publicField2(_o, "tokenizer_class", AutoTokenizer), __publicField2(_o, "uses_processor_config", true), _o); var JinaCLIPProcessor = (_p = class extends Processor { async _call(text = null, images = null, kwargs = {}) { if (!text && !images) { throw new Error("Either text or images must be provided"); } const text_inputs = text ? this.tokenizer(text, kwargs) : {}; const image_inputs = images ? await this.image_processor(images, kwargs) : {}; return { ...text_inputs, ...image_inputs }; } }, __publicField2(_p, "tokenizer_class", AutoTokenizer), __publicField2(_p, "image_processor_class", AutoImageProcessor), _p); var Lfm2VlProcessor = (_q = class extends Processor { /** * @param {RawImage|RawImage[]} images * @param {string|string[]|null} [text] * @param {Record} [kwargs] */ async _call(images, text = null, kwargs = {}) { const { image_rows, image_cols, image_sizes, ...image_inputs } = await this.image_processor(images, { ...kwargs, return_row_col_info: true }); if (text) { const image_token = this.config.image_token ?? ""; const { tile_size = 512, downsample_factor = 2, encoder_patch_size = 16, use_thumbnail = true } = ( /** @type {Record} */ this.image_processor.config ); const ds2 = (s) => Math.ceil(Math.floor(s / encoder_patch_size) / downsample_factor); const tokens_per_tile = ds2(tile_size) ** 2; const image_start = this.config.image_start_token ?? "<|image_start|>"; const image_end = this.config.image_end_token ?? "<|image_end|>"; const thumbnail_token = this.config.image_thumbnail ?? "<|img_thumbnail|>"; if (!Array.isArray(text)) text = [text]; let image_idx = 0; text = text.map((sample) => { const parts = sample.split(image_token); return parts[0] + parts.slice(1).map((part) => { const idx = image_idx++; const [h, w] = image_sizes[idx]; const rows = image_rows[idx], cols = image_cols[idx]; const tokens_for_image = ds2(h) * ds2(w); let expanded = image_start; if (rows > 1 || cols > 1) { const tile_str = image_token.repeat(tokens_per_tile); for (let r = 0; r < rows; ++r) for (let c = 0; c < cols; ++c) expanded += `<|img_row_${r + 1}_col_${c + 1}|>` + tile_str; if (use_thumbnail) expanded += thumbnail_token + image_token.repeat(tokens_for_image); } else { expanded += image_token.repeat(tokens_for_image); } return expanded + image_end + part; }).join(""); }); } return { ...image_inputs, ...text ? this.tokenizer(text, kwargs) : {} }; } }, __publicField2(_q, "tokenizer_class", AutoTokenizer), __publicField2(_q, "image_processor_class", AutoImageProcessor), _q); var LlavaProcessor = (_r = class extends Processor { /** * @typedef {import('../../utils/image.js').RawImage} RawImage */ // `images` is required, `text` is optional async _call(images, text = null, kwargs = {}) { const image_inputs = await this.image_processor(images, kwargs); if (text) { const [height, width] = image_inputs.pixel_values.dims.slice(-2); const { image_token, patch_size, num_additional_image_tokens } = this.config; const num_image_tokens = Math.floor(height / patch_size) * Math.floor(width / patch_size) + num_additional_image_tokens; text = structuredClone(text); if (!Array.isArray(text)) { text = [text]; } for (let i = 0; i < text.length; ++i) { text[i] = text[i].replace(image_token, image_token.repeat(num_image_tokens)); } } const text_inputs = text ? this.tokenizer(text, kwargs) : {}; return { ...image_inputs, ...text_inputs }; } }, __publicField2(_r, "tokenizer_class", AutoTokenizer), __publicField2(_r, "image_processor_class", AutoImageProcessor), __publicField2(_r, "uses_processor_config", true), _r); var DECODE_TYPE_MAPPING = { char: ["char_decode", 1], bpe: ["bpe_decode", 2], wp: ["wp_decode", 102] }; var MgpstrProcessor = (_s2 = class extends Processor { /** * @returns {import('./tokenization_mgp_str.js').MgpstrTokenizer} The character tokenizer. */ get char_tokenizer() { return this.components.char_tokenizer; } /** * @returns {import('../gpt2/tokenization_gpt2.js').GPT2Tokenizer} The BPE tokenizer. */ get bpe_tokenizer() { return this.components.bpe_tokenizer; } /** * @returns {import('../bert/tokenization_bert.js').BertTokenizer} The WordPiece tokenizer. */ get wp_tokenizer() { return this.components.wp_tokenizer; } /** * Helper function to decode the model prediction logits. * @param {import('../../utils/tensor.js').Tensor} pred_logits Model prediction logits. * @param {string} format Type of model prediction. Must be one of ['char', 'bpe', 'wp']. * @returns {[string[], number[]]} The decoded sentences and their confidence scores. */ _decode_helper(pred_logits, format2) { if (!DECODE_TYPE_MAPPING.hasOwnProperty(format2)) { throw new Error(`Format ${format2} is not supported.`); } const [decoder_name, eos_token] = DECODE_TYPE_MAPPING[format2]; const decoder = this[decoder_name].bind(this); const [batch_size, batch_max_length] = pred_logits.dims; const conf_scores = []; const all_ids = []; const pred_logits_list = pred_logits.tolist(); for (let i = 0; i < batch_size; ++i) { const logits = pred_logits_list[i]; const ids = []; const scores = []; for (let j = 1; j < batch_max_length; ++j) { const [max_prob, max_prob_index] = max(softmax(logits[j])); scores.push(max_prob); if (max_prob_index == eos_token) { break; } ids.push(max_prob_index); } const confidence_score = scores.length > 0 ? scores.reduce((a, b) => a * b, 1) : 0; all_ids.push(ids); conf_scores.push(confidence_score); } const decoded = decoder(all_ids); return [decoded, conf_scores]; } /** * Convert a list of lists of char token ids into a list of strings by calling char tokenizer. * @param {number[][]} sequences List of tokenized input ids. * @returns {string[]} The list of char decoded sentences. */ char_decode(sequences) { return this.char_tokenizer.batch_decode(sequences).map((str) => str.replaceAll(" ", "")); } /** * Convert a list of lists of BPE token ids into a list of strings by calling BPE tokenizer. * @param {number[][]} sequences List of tokenized input ids. * @returns {string[]} The list of BPE decoded sentences. */ bpe_decode(sequences) { return this.bpe_tokenizer.batch_decode(sequences); } /** * Convert a list of lists of word piece token ids into a list of strings by calling word piece tokenizer. * @param {number[][]} sequences List of tokenized input ids. * @returns {string[]} The list of wp decoded sentences. */ wp_decode(sequences) { return this.wp_tokenizer.batch_decode(sequences).map((str) => str.replaceAll(" ", "")); } /** * Convert a list of lists of token ids into a list of strings by calling decode. * @param {[import('../../utils/tensor.js').Tensor, import('../../utils/tensor.js').Tensor, import('../../utils/tensor.js').Tensor]} sequences List of tokenized input ids. * @returns {{generated_text: string[], scores: number[], char_preds: string[], bpe_preds: string[], wp_preds: string[]}} * Dictionary of all the outputs of the decoded results. * - generated_text: The final results after fusion of char, bpe, and wp. * - scores: The final scores after fusion of char, bpe, and wp. * - char_preds: The list of character decoded sentences. * - bpe_preds: The list of BPE decoded sentences. * - wp_preds: The list of wp decoded sentences. */ // @ts-expect-error The type of this method is not compatible with the one in the base class. batch_decode([char_logits, bpe_logits, wp_logits]) { const [char_preds, char_scores] = this._decode_helper(char_logits, "char"); const [bpe_preds, bpe_scores] = this._decode_helper(bpe_logits, "bpe"); const [wp_preds, wp_scores] = this._decode_helper(wp_logits, "wp"); const generated_text = []; const scores = []; for (let i = 0; i < char_preds.length; ++i) { const [max_score, max_score_index] = max([char_scores[i], bpe_scores[i], wp_scores[i]]); generated_text.push([char_preds[i], bpe_preds[i], wp_preds[i]][max_score_index]); scores.push(max_score); } return { generated_text, scores, char_preds, bpe_preds, wp_preds }; } /** @type {typeof Processor.from_pretrained} */ static async from_pretrained(...args2) { const base = await super.from_pretrained(...args2); const bpe_tokenizer = await AutoTokenizer.from_pretrained("Xenova/gpt2"); const wp_tokenizer = await AutoTokenizer.from_pretrained("Xenova/bert-base-uncased"); base.components = { image_processor: base.image_processor, char_tokenizer: base.tokenizer, bpe_tokenizer, wp_tokenizer }; return base; } async _call(images, text = null) { const result = await this.image_processor(images); if (text) { result.labels = this.tokenizer(text).input_ids; } return result; } }, __publicField2(_s2, "tokenizer_class", AutoTokenizer), __publicField2(_s2, "image_processor_class", AutoImageProcessor), _s2); var MoonshineProcessor = (_t = class extends Processor { /** * Calls the feature_extractor function with the given audio input. * @param {any} audio The audio input to extract features from. * @returns {Promise} A Promise that resolves with the extracted features. */ async _call(audio) { return await this.feature_extractor(audio); } }, __publicField2(_t, "tokenizer_class", AutoTokenizer), __publicField2(_t, "feature_extractor_class", AutoFeatureExtractor), _t); var OwlViTProcessor = (_u = class extends Processor { }, __publicField2(_u, "tokenizer_class", AutoTokenizer), __publicField2(_u, "image_processor_class", AutoImageProcessor), _u); var IMAGE_TOKEN = ""; function build_string_from_input(prompt, bos_token, image_seq_len, image_token, num_images) { return `${image_token.repeat(image_seq_len * num_images)}${bos_token}${prompt} `; } var PaliGemmaProcessor = (_v = class extends Processor { /** * @typedef {import('../../utils/image.js').RawImage} RawImage */ // `images` is required, `text` is optional async _call(images, text = null, kwargs = {}) { if (!text) { logger.warn( "You are using PaliGemma without a text prefix. It will perform as a picture-captioning model." ); text = ""; } if (!Array.isArray(images)) { images = [images]; } if (!Array.isArray(text)) { text = [text]; } const bos_token = this.tokenizer.bos_token; const image_seq_length = this.image_processor.config.image_seq_length; let input_strings; if (text.some((t) => t.includes(IMAGE_TOKEN))) { input_strings = text.map((sample) => { const expanded_sample = sample.replaceAll(IMAGE_TOKEN, IMAGE_TOKEN.repeat(image_seq_length)); const bos_rfind_index = expanded_sample.lastIndexOf(IMAGE_TOKEN); const bos_index = bos_rfind_index === -1 ? 0 : bos_rfind_index + IMAGE_TOKEN.length; return expanded_sample.slice(0, bos_index) + bos_token + expanded_sample.slice(bos_index) + "\n"; }); } else { logger.warn( "You are passing both `text` and `images` to `PaliGemmaProcessor`. The processor expects special image tokens in the text, as many tokens as there are images per each text. It is recommended to add `` tokens in the very beginning of your text. For this call, we will infer how many images each text has and add special tokens." ); input_strings = text.map( (sample) => build_string_from_input(sample, bos_token, image_seq_length, IMAGE_TOKEN, images.length) ); } const text_inputs = this.tokenizer(input_strings, kwargs); const image_inputs = await this.image_processor(images, kwargs); return { ...image_inputs, ...text_inputs }; } }, __publicField2(_v, "tokenizer_class", AutoTokenizer), __publicField2(_v, "image_processor_class", AutoImageProcessor), __publicField2(_v, "uses_processor_config", false), _v); var IMAGE_TOKEN2 = "<|image|>"; var IMAGE_TOKEN_PATTERN = /<\|image_\d+\|>/g; var Phi3VProcessor = (_w = class extends Processor { /** * * @param {string|string[]} text * @param {RawImage|RawImage[]} images * @param { { padding?: boolean, truncation?: boolean, num_crops?: number } | undefined } options * @returns {Promise} */ async _call(text, images = null, { padding = true, truncation = true, num_crops = null } = {}) { if (!Array.isArray(text)) { text = [text]; } let text_inputs, image_inputs; if (images) { image_inputs = await this.image_processor(images, { num_crops }); const { num_img_tokens } = image_inputs; const prompt_chunks = text.map( (t, i) => t.split(IMAGE_TOKEN_PATTERN).join(IMAGE_TOKEN2.repeat(num_img_tokens[i])) ); text_inputs = this.tokenizer(prompt_chunks, { padding, truncation }); const image_token_id = this.tokenizer._tokenizer.token_to_id(IMAGE_TOKEN2); text_inputs.input_ids.map_((id) => id == image_token_id ? -id : id); } else { text_inputs = this.tokenizer(text); } return { ...text_inputs, ...image_inputs }; } }, __publicField2(_w, "image_processor_class", AutoImageProcessor), __publicField2(_w, "tokenizer_class", AutoTokenizer), _w); var PixtralProcessor = (_x = class extends Processor { /** * @typedef {import('../../utils/image.js').RawImage} RawImage */ // `images` is required, `text` is optional async _call(images, text = null, kwargs = {}) { const image_inputs = await this.image_processor(images, kwargs); if (text) { const [height, width] = image_inputs.pixel_values.dims.slice(-2); const { image_token, image_break_token, image_end_token, patch_size, spatial_merge_size } = this.config; const real_patch_size = patch_size * spatial_merge_size; const num_height_tokens = Math.floor(height / real_patch_size); const num_width_tokens = Math.floor(width / real_patch_size); text = structuredClone(text); if (!Array.isArray(text)) { text = [text]; } for (let i = 0; i < text.length; ++i) { const width_tokens = image_token.repeat(num_width_tokens); const row = width_tokens + image_break_token; const finalRow = width_tokens + image_end_token; const full2 = row.repeat(num_height_tokens - 1) + finalRow; text[i] = text[i].replace(image_token, full2); } } const text_inputs = text ? this.tokenizer(text, kwargs) : {}; return { ...image_inputs, ...text_inputs }; } }, __publicField2(_x, "tokenizer_class", AutoTokenizer), __publicField2(_x, "image_processor_class", AutoImageProcessor), __publicField2(_x, "uses_processor_config", true), _x); var PyAnnoteProcessor = (_y = class extends Processor { /** * Calls the feature_extractor function with the given audio input. * @param {any} audio The audio input to extract features from. * @returns {Promise} A Promise that resolves with the extracted features. */ async _call(audio) { return await this.feature_extractor(audio); } /** @type {PyAnnoteFeatureExtractor['post_process_speaker_diarization']} */ post_process_speaker_diarization(...args2) { return ( /** @type {PyAnnoteFeatureExtractor} */ this.feature_extractor.post_process_speaker_diarization( ...args2 ) ); } get sampling_rate() { return this.feature_extractor.config.sampling_rate; } }, __publicField2(_y, "feature_extractor_class", PyAnnoteFeatureExtractor), _y); var Qwen2_5_VLProcessor = class extends Qwen2VLProcessor { }; var Qwen3VLProcessor = class extends Qwen2_5_VLProcessor { }; var SamProcessor = (_z = class extends Processor { async _call(...args2) { return await this.image_processor(...args2); } post_process_masks(...args2) { return this.image_processor.post_process_masks(...args2); } reshape_input_points(...args2) { return this.image_processor.reshape_input_points(...args2); } }, __publicField2(_z, "image_processor_class", AutoImageProcessor), _z); var Sam2Processor = class extends SamProcessor { }; var Sam2VideoProcessor = class extends Sam2Processor { }; var SpeechT5Processor = (_A = class extends Processor { /** * Calls the feature_extractor function with the given input. * @param {any} input The input to extract features from. * @returns {Promise} A Promise that resolves with the extracted features. */ async _call(input) { return await this.feature_extractor(input); } }, __publicField2(_A, "tokenizer_class", AutoTokenizer), __publicField2(_A, "feature_extractor_class", AutoFeatureExtractor), _A); var UltravoxProcessor = (_B = class extends Processor { /** * @param {string} text The text input to process. * @param {Float32Array} audio The audio input to process. */ async _call(text, audio = null, kwargs = {}) { if (Array.isArray(text)) { throw new Error("Batched inputs are not supported yet."); } let audio_inputs = {}; if (audio) { const audio_len = audio.length; const { input_features } = await this.feature_extractor(audio, { ...kwargs, max_length: audio_len }); const nb_encoder_frames = Math.round(audio_len / this.config.encoder_ds_factor + 1e-4); const audio_embed_frames = 1 + Math.ceil(nb_encoder_frames / this.config.stack_factor); audio_inputs["audio_token_len"] = [audio_embed_frames]; audio_inputs["audio_values"] = input_features; const image_token = this.config.audio_placeholder; if (!text.includes(image_token)) { throw new Error(`The input text does not contain the image token ${image_token}.`); } text = text.replaceAll(image_token, image_token.repeat(audio_embed_frames)); } const text_inputs = this.tokenizer(text, { add_special_tokens: false, ...kwargs }); return { ...text_inputs, ...audio_inputs }; } }, __publicField2(_B, "tokenizer_class", AutoTokenizer), __publicField2(_B, "feature_extractor_class", AutoFeatureExtractor), __publicField2(_B, "uses_processor_config", true), _B); var AUDIO_TOKEN = "[AUDIO]"; var BEGIN_AUDIO_TOKEN = "[BEGIN_AUDIO]"; var NUM_AUDIO_TOKENS = 375; function chunk(audio, n_samples) { const chunks = []; for (let i = 0; i < audio.length; i += n_samples) { chunks.push(audio.subarray(i, Math.min(i + n_samples, audio.length))); } return chunks; } var VoxtralProcessor = (_C = class extends Processor { /** * @param {string} text The text input to process. * @param {Float32Array|Float32Array[]} audio The audio input(s) to process. */ async _call(text, audio = null, kwargs = {}) { if (Array.isArray(text)) { throw new Error("Batched inputs are not supported yet."); } const audio_inputs = {}; if (audio) { if (!text.includes(AUDIO_TOKEN)) { throw new Error(`The input text does not contain the audio token ${AUDIO_TOKEN}.`); } if (!Array.isArray(audio)) { audio = [audio]; } const text_parts = text.split(AUDIO_TOKEN); const num_audio_tokens = text_parts.length - 1; if (num_audio_tokens !== audio.length) { throw new Error( `The number of audio inputs (${audio.length}) does not match the number of audio tokens in the text (${num_audio_tokens}).` ); } const n_samples = this.feature_extractor.config.n_samples; const audio_chunks = audio.map((a) => chunk(a, n_samples)); const chunk_counts = audio_chunks.map((chunks) => chunks.length); const all_chunks = audio_chunks.flat(); const features = (await Promise.all(all_chunks.map((audio_input) => this.feature_extractor(audio_input, kwargs)))).map((x) => x.input_features); audio_inputs["audio_values"] = features.length > 1 ? cat(features, 0) : features[0]; let new_text = text_parts[0]; for (let i = 0; i < chunk_counts.length; ++i) { new_text += BEGIN_AUDIO_TOKEN; for (let j = 0; j < chunk_counts[i]; ++j) { new_text += AUDIO_TOKEN.repeat(NUM_AUDIO_TOKENS); } new_text += text_parts[i + 1]; } text = new_text; } const text_inputs = this.tokenizer(text, { add_special_tokens: false, ...kwargs }); return { ...text_inputs, ...audio_inputs }; } }, __publicField2(_C, "tokenizer_class", AutoTokenizer), __publicField2(_C, "feature_extractor_class", AutoFeatureExtractor), __publicField2(_C, "uses_processor_config", false), _C); var NUM_LEFT_PAD_TOKENS = 32; var NUM_DELAY_TOKENS = 6; var AUDIO_LENGTH_PER_TOK = 8; var OFFLINE_STREAMING_BUFFER_TOKENS = 10; var STREAMING_PAD_TOKEN_ID = 32; var VoxtralRealtimeProcessor = (_D = class extends Processor { /** Number of mel frames in the first audio chunk. */ get num_mel_frames_first_audio_chunk() { return (NUM_DELAY_TOKENS + 1) * AUDIO_LENGTH_PER_TOK; } /** Number of raw audio samples in the first audio chunk. */ get num_samples_first_audio_chunk() { const { hop_length, n_fft } = this.feature_extractor.config; return (this.num_mel_frames_first_audio_chunk - 1) * hop_length + Math.floor(n_fft / 2); } /** Number of raw audio samples per subsequent audio chunk. */ get num_samples_per_audio_chunk() { const { hop_length, n_fft } = this.feature_extractor.config; return AUDIO_LENGTH_PER_TOK * hop_length + n_fft; } /** Number of right-pad tokens for non-streaming mode. */ get num_right_pad_tokens() { return NUM_DELAY_TOKENS + 1 + OFFLINE_STREAMING_BUFFER_TOKENS; } /** Number of mel frames per text token. */ get audio_length_per_tok() { return AUDIO_LENGTH_PER_TOK; } /** Number of raw audio samples per token. */ get raw_audio_length_per_tok() { return AUDIO_LENGTH_PER_TOK * this.feature_extractor.config.hop_length; } /** * Process audio input for VoxtralRealtime. * * In streaming mode with `is_first_audio_chunk=true`, the audio is left-padded * with silence and mel features are extracted with `center=true`. * Returns `{ input_ids, input_features }`. * * In streaming mode with `is_first_audio_chunk=false`, the audio chunk is * processed with `center=false` and only `{ input_features }` is returned. * * In non-streaming mode, the audio is right-padded to ensure the model * transcribes the full audio, then processed with `center=true`. * Returns `{ input_features }`. * * @param {Float32Array|Float64Array} audio The audio waveform. * @param {Object} [options] * @param {boolean} [options.is_streaming=false] Whether processing in streaming mode. * @param {boolean} [options.is_first_audio_chunk=true] Whether this is the first audio chunk. * @returns {Promise} */ async _call(audio, { is_streaming = false, is_first_audio_chunk = true } = {}) { validate_audio_inputs(audio, "VoxtralRealtimeProcessor"); if (!is_streaming && !is_first_audio_chunk) { throw new Error("In non-streaming mode (`is_streaming=false`), `is_first_audio_chunk` must be `true`."); } if (is_first_audio_chunk) { if (is_streaming) { const num_left_pad_samples = NUM_LEFT_PAD_TOKENS * this.raw_audio_length_per_tok; const padded_audio = new Float32Array(num_left_pad_samples + audio.length); padded_audio.set(audio, num_left_pad_samples); const audio_encoding = await this.feature_extractor(padded_audio, { center: true }); const num_pad_tokens = NUM_LEFT_PAD_TOKENS + NUM_DELAY_TOKENS; const num_input_tokens = 1 + num_pad_tokens; const input_ids_data = new BigInt64Array(num_input_tokens).fill(BigInt(STREAMING_PAD_TOKEN_ID)); input_ids_data[0] = 1n; const input_ids = new Tensor2("int64", input_ids_data, [1, num_input_tokens]); return { input_ids, ...audio_encoding }; } else { const right_pad_samples = this.num_right_pad_tokens * this.raw_audio_length_per_tok; const padded_audio = new Float32Array(audio.length + right_pad_samples); padded_audio.set(audio); return await this.feature_extractor(padded_audio, { center: true }); } } else { return await this.feature_extractor(audio, { center: false }); } } }, __publicField2(_D, "tokenizer_class", AutoTokenizer), __publicField2(_D, "feature_extractor_class", AutoFeatureExtractor), __publicField2(_D, "uses_processor_config", false), _D); var Wav2Vec2Processor = (_E = class extends Processor { /** * Calls the feature_extractor function with the given audio input. * @param {any} audio The audio input to extract features from. * @returns {Promise} A Promise that resolves with the extracted features. */ async _call(audio) { return await this.feature_extractor(audio); } }, __publicField2(_E, "tokenizer_class", AutoTokenizer), __publicField2(_E, "feature_extractor_class", AutoFeatureExtractor), _E); var Wav2Vec2ProcessorWithLM = (_F = class extends Processor { /** * Calls the feature_extractor function with the given audio input. * @param {any} audio The audio input to extract features from. * @returns {Promise} A Promise that resolves with the extracted features. */ async _call(audio) { return await this.feature_extractor(audio); } }, __publicField2(_F, "tokenizer_class", AutoTokenizer), __publicField2(_F, "feature_extractor_class", AutoFeatureExtractor), _F); var WhisperProcessor = (_G = class extends Processor { /** * Calls the feature_extractor function with the given audio input. * @param {any} audio The audio input to extract features from. * @returns {Promise} A Promise that resolves with the extracted features. */ async _call(audio) { return await this.feature_extractor(audio); } }, __publicField2(_G, "tokenizer_class", AutoTokenizer), __publicField2(_G, "feature_extractor_class", AutoFeatureExtractor), _G); var AutoProcessor = class { /** @type {typeof Processor.from_pretrained} */ static async from_pretrained(pretrained_model_name_or_path, options = {}) { const preprocessorConfig = await getModelJSON( pretrained_model_name_or_path, IMAGE_PROCESSOR_NAME, true, options ); const { image_processor_type, feature_extractor_type, processor_class } = preprocessorConfig; if (processor_class && processors_exports[processor_class]) { return processors_exports[processor_class].from_pretrained(pretrained_model_name_or_path, options); } if (!image_processor_type && !feature_extractor_type) { throw new Error("No `image_processor_type` or `feature_extractor_type` found in the config."); } const components = {}; if (image_processor_type) { const image_processor_class = image_processors_exports[image_processor_type.replace(/Fast$/, "")]; if (!image_processor_class) { throw new Error(`Unknown image_processor_type: '${image_processor_type}'.`); } components.image_processor = new image_processor_class(preprocessorConfig); } if (feature_extractor_type) { const image_processor_class = image_processors_exports[feature_extractor_type]; if (image_processor_class) { components.image_processor = new image_processor_class(preprocessorConfig); } else { const feature_extractor_class = feature_extractors_exports[feature_extractor_type]; if (!feature_extractor_class) { throw new Error(`Unknown feature_extractor_type: '${feature_extractor_type}'.`); } components.feature_extractor = new feature_extractor_class(preprocessorConfig); } } const config = {}; return new Processor(config, components, null); } }; async function loadConfig(pretrained_model_name_or_path, options) { return await getModelJSON(pretrained_model_name_or_path, "config.json", true, options); } function getNormalizedConfig(config) { const mapping = {}; let init_normalized_config = {}; switch (config.model_type) { case "llava": case "paligemma": case "gemma3": case "florence2": case "llava_onevision": case "idefics3": case "granite_speech": case "ultravox": case "voxtral": case "voxtral_realtime": case "smolvlm": case "gemma3n": case "gemma4": case "lfm2_vl": case "chatterbox": case "lighton_ocr": case "glm_ocr": case "mistral3": case "qwen2_5_vl": case "qwen3_vl": case "qwen3_vl_moe": init_normalized_config = getNormalizedConfig(config.text_config); break; case "moondream1": init_normalized_config = getNormalizedConfig(config.phi_config); break; case "musicgen": init_normalized_config = getNormalizedConfig(config.decoder); break; case "multi_modality": init_normalized_config = getNormalizedConfig(config.language_config); break; case "gpt2": case "gptj": case "jais": case "codegen": case "gpt_bigcode": mapping["num_heads"] = "n_head"; mapping["num_layers"] = "n_layer"; mapping["hidden_size"] = "n_embd"; break; case "gpt_neox": case "stablelm": case "opt": case "falcon": case "modernbert-decoder": mapping["num_heads"] = "num_attention_heads"; mapping["num_layers"] = "num_hidden_layers"; mapping["hidden_size"] = "hidden_size"; break; case "gpt_oss": case "llama": case "llama4_text": case "nanochat": case "apertus": case "arcee": case "afmoe": case "lfm2": case "lfm2_moe": case "smollm3": case "olmo": case "olmo2": case "olmo3": case "mobilellm": case "granite": case "granitemoehybrid": case "cohere": case "cohere2": case "mistral": case "voxtral_realtime_text": case "voxtral_realtime_encoder": case "starcoder2": case "qwen2": case "qwen2_moe": case "qwen2_vl": case "qwen2_vl_text": case "qwen2_5_vl_text": case "qwen3_moe": case "qwen3_vl_text": case "qwen3_vl_moe_text": case "phi": case "phi3": case "phi3_v": case "llava_qwen2": mapping["num_heads"] = "num_key_value_heads"; mapping["num_layers"] = "num_hidden_layers"; mapping["hidden_size"] = "hidden_size"; mapping["num_attention_heads"] = "num_attention_heads"; mapping["dim_kv"] = "head_dim"; break; case "qwen3": case "solar_open": case "glm_ocr_text": case "gemma": case "gemma2": case "vaultgemma": case "gemma3_text": case "gemma3n_text": case "gemma4_text": case "glm": case "helium": case "ernie4_5": case "hunyuan_v1_dense": case "falcon_h1": case "nemotron_h": case "ministral": case "ministral3": mapping["num_heads"] = "num_key_value_heads"; mapping["num_layers"] = "num_hidden_layers"; mapping["dim_kv"] = "head_dim"; break; case "openelm": mapping["num_heads"] = "num_kv_heads"; mapping["num_layers"] = "num_transformer_layers"; mapping["dim_kv"] = "head_dim"; break; case "gpt_neo": case "donut-swin": mapping["num_heads"] = "num_heads"; mapping["num_layers"] = "num_layers"; mapping["hidden_size"] = "hidden_size"; break; case "bloom": mapping["num_heads"] = "n_head"; mapping["num_layers"] = "n_layer"; mapping["hidden_size"] = "hidden_size"; break; case "mpt": mapping["num_heads"] = "n_heads"; mapping["num_layers"] = "n_layers"; mapping["hidden_size"] = "d_model"; break; case "exaone": mapping["num_heads"] = "num_key_value_heads"; mapping["num_layers"] = "num_layers"; mapping["dim_kv"] = "head_dim"; mapping["num_attention_heads"] = "num_attention_heads"; break; case "youtu": case "deepseek_v3": case "glm_moe_dsa": case "mistral4": mapping["num_heads"] = "num_key_value_heads"; mapping["num_layers"] = "num_hidden_layers"; mapping["dim_kv"] = "qk_head_dim"; mapping["num_attention_heads"] = "num_attention_heads"; break; case "t5": case "mt5": case "longt5": mapping["num_decoder_layers"] = "num_decoder_layers"; mapping["num_decoder_heads"] = "num_heads"; mapping["decoder_dim_kv"] = "d_kv"; mapping["num_encoder_layers"] = "num_layers"; mapping["num_encoder_heads"] = "num_heads"; mapping["encoder_dim_kv"] = "d_kv"; break; case "bart": case "mbart": case "marian": case "whisper": case "lite-whisper": case "m2m_100": case "blenderbot": case "blenderbot-small": case "florence2_language": mapping["num_decoder_layers"] = "decoder_layers"; mapping["num_decoder_heads"] = "decoder_attention_heads"; mapping["decoder_hidden_size"] = "d_model"; mapping["num_encoder_layers"] = "encoder_layers"; mapping["num_encoder_heads"] = "encoder_attention_heads"; mapping["encoder_hidden_size"] = "d_model"; break; case "speecht5": mapping["num_decoder_layers"] = "decoder_layers"; mapping["num_decoder_heads"] = "decoder_attention_heads"; mapping["decoder_hidden_size"] = "hidden_size"; mapping["num_encoder_layers"] = "encoder_layers"; mapping["num_encoder_heads"] = "encoder_attention_heads"; mapping["encoder_hidden_size"] = "hidden_size"; break; case "trocr": mapping["num_encoder_layers"] = mapping["num_decoder_layers"] = "decoder_layers"; mapping["num_encoder_heads"] = mapping["num_decoder_heads"] = "decoder_attention_heads"; mapping["encoder_hidden_size"] = mapping["decoder_hidden_size"] = "d_model"; break; case "musicgen_decoder": mapping["num_encoder_layers"] = mapping["num_decoder_layers"] = "num_hidden_layers"; mapping["num_encoder_heads"] = mapping["num_decoder_heads"] = "num_attention_heads"; mapping["encoder_hidden_size"] = mapping["decoder_hidden_size"] = "hidden_size"; break; case "moonshine": mapping["num_decoder_layers"] = "decoder_num_hidden_layers"; mapping["num_decoder_heads"] = "decoder_num_key_value_heads"; mapping["num_encoder_layers"] = "encoder_num_hidden_layers"; mapping["num_encoder_heads"] = "encoder_num_key_value_heads"; mapping["encoder_hidden_size"] = mapping["decoder_hidden_size"] = "hidden_size"; break; case "cohere_asr": mapping["num_decoder_layers"] = "num_hidden_layers"; mapping["num_decoder_heads"] = "num_key_value_heads"; mapping["decoder_hidden_size"] = "hidden_size"; mapping["decoder_dim_kv"] = "head_dim"; const { num_hidden_layers: num_encoder_layers, num_attention_heads: num_encoder_heads, hidden_size: encoder_hidden_size } = ( /** @type {any} */ config.encoder_config ); init_normalized_config = { num_encoder_layers, num_encoder_heads, encoder_hidden_size, // @ts-expect-error TS2339 encoder_dim_kv: config.head_dim }; break; case "vision-encoder-decoder": const decoderConfig = getNormalizedConfig(config.decoder); const add_encoder_pkv = "num_decoder_layers" in decoderConfig; const result = pick(config, ["model_type", "is_encoder_decoder"]); if (add_encoder_pkv) { result.num_decoder_layers = decoderConfig.num_decoder_layers; result.num_decoder_heads = decoderConfig.num_decoder_heads; result.decoder_hidden_size = decoderConfig.decoder_hidden_size; result.num_encoder_layers = decoderConfig.num_encoder_layers; result.num_encoder_heads = decoderConfig.num_encoder_heads; result.encoder_hidden_size = decoderConfig.encoder_hidden_size; } else { result.num_layers = decoderConfig.num_layers; result.num_heads = decoderConfig.num_heads; result.hidden_size = decoderConfig.hidden_size; } return result; } const normalized_config = { ...init_normalized_config, ...pick(config, ["model_type", "multi_query", "is_encoder_decoder"]) }; for (const key in mapping) { normalized_config[key] = config[mapping[key]]; } return normalized_config; } function getCacheNames(config, options) { if (!(config instanceof PretrainedConfig)) { config = new PretrainedConfig(config); } const pkv_prefix = options?.prefix ?? "past_key_values"; const conv_prefix = pkv_prefix === "present" ? "present" : "past"; const names = /* @__PURE__ */ new Set(); if (["lfm2", "lfm2_moe"].includes(config.model_type)) { const { layer_types } = ( /** @type {any} */ config ); for (let i = 0; i < layer_types.length; ++i) { if (layer_types[i] === "full_attention") { names.add(`${pkv_prefix}.${i}.key`); names.add(`${pkv_prefix}.${i}.value`); } else if (layer_types[i] === "conv") { names.add(`${conv_prefix}_conv.${i}`); } else { throw new Error(`Unsupported layer type: ${layer_types[i]}`); } } return names; } else if (["granitemoehybrid", "falcon_h1", "nemotron_h"].includes(config.model_type)) { const c = ( /** @type {any} */ config ); const layer_types = c.layer_types ?? c.layers_block_type; const num_layers = c.num_hidden_layers ?? layer_types?.length; for (let i = 0; i < num_layers; ++i) { if (!layer_types || layer_types[i] === "mamba") { names.add(`${conv_prefix}_conv.${i}`); names.add(`${conv_prefix}_ssm.${i}`); } if (!layer_types || layer_types[i] === "attention") { names.add(`${pkv_prefix}.${i}.key`); names.add(`${pkv_prefix}.${i}.value`); } } return names; } else if (["qwen3_next", "qwen3_5_text", "qwen3_5_moe_text", "olmo_hybrid"].includes(config.model_type)) { const { layer_types } = ( /** @type {any} */ config ); for (let i = 0; i < layer_types.length; ++i) { if (layer_types[i] === "full_attention") { names.add(`${pkv_prefix}.${i}.key`); names.add(`${pkv_prefix}.${i}.value`); } else if (layer_types[i] === "linear_attention") { if (config.model_type === "olmo_hybrid") { names.add(`${conv_prefix}_conv.${i}.key`); names.add(`${conv_prefix}_conv.${i}.value`); names.add(`${conv_prefix}_conv.${i}.query`); } else { names.add(`${conv_prefix}_conv.${i}`); } names.add(`${conv_prefix}_recurrent.${i}`); } else { throw new Error(`Unsupported layer type: ${layer_types[i]}`); } } return names; } else if (["gemma4", "gemma4_text"].includes(config.model_type)) { const c = ( /** @type {any} */ config.model_type === "gemma4" ? ( /** @type {any} */ config.text_config ) : config ); const num_hidden_layers = c.num_hidden_layers; const num_kv_shared_layers = c.num_kv_shared_layers ?? 0; const num_kv_layers = num_hidden_layers - num_kv_shared_layers; for (let i = 0; i < num_kv_layers; ++i) { names.add(`${pkv_prefix}.${i}.key`); names.add(`${pkv_prefix}.${i}.value`); } return names; } else if (["lfm2_vl", "qwen3_5", "qwen3_5_moe", "voxtral_realtime"].includes(config.model_type)) { let subConfig; if (config.model_type === "voxtral_realtime" && options?.session_name === "audio_encoder") { subConfig = /** @type {any} */ config.audio_config; } else { subConfig = /** @type {any} */ config.text_config; } return getCacheNames(subConfig, options); } return getKeyValueNames(config, { prefix: pkv_prefix }); } function getKeyValueNames(config, { prefix = "past_key_values" } = {}) { const names = /* @__PURE__ */ new Set(); const normalized_config = config.normalized_config; if (normalized_config.is_encoder_decoder && "num_encoder_heads" in normalized_config && "num_decoder_heads" in normalized_config) { for (let i = 0; i < normalized_config.num_decoder_layers; ++i) { names.add(`${prefix}.${i}.encoder.key`); names.add(`${prefix}.${i}.encoder.value`); names.add(`${prefix}.${i}.decoder.key`); names.add(`${prefix}.${i}.decoder.value`); } } else if (normalized_config.multi_query) { for (let i = 0; i < normalized_config.num_layers; ++i) { names.add(`${prefix}.${i}.key_value`); } } else { for (let i = 0; i < normalized_config.num_layers; ++i) { names.add(`${prefix}.${i}.key`); names.add(`${prefix}.${i}.value`); } } return names; } var PretrainedConfig = class _PretrainedConfig { // NOTE: Typo in original /** @type {string|null} */ model_type = null; /** @type {boolean} */ is_encoder_decoder = false; /** @type {number} */ max_position_embeddings; /** @type {TransformersJSConfig} */ "transformers.js_config"; /** * Create a new PreTrainedTokenizer instance. * @param {Object} configJSON The JSON of the config. */ constructor(configJSON) { Object.assign(this, configJSON); this.normalized_config = getNormalizedConfig(this); } /** * Loads a pre-trained config from the given `pretrained_model_name_or_path`. * * @param {string} pretrained_model_name_or_path The path to the pre-trained config. * @param {PretrainedOptions} options Additional options for loading the config. * @throws {Error} Throws an error if the config.json is not found in the `pretrained_model_name_or_path`. * * @returns {Promise} A new instance of the `PretrainedConfig` class. */ static async from_pretrained(pretrained_model_name_or_path, { progress_callback = null, config = null, cache_dir = null, local_files_only = false, revision = "main" } = {}) { if (config && !(config instanceof _PretrainedConfig)) { config = new _PretrainedConfig(config); } const data = config ?? await loadConfig(pretrained_model_name_or_path, { progress_callback, config, cache_dir, local_files_only, revision }); return new this(data); } }; var AutoConfig = class { /** @type {typeof PretrainedConfig.from_pretrained} */ static async from_pretrained(...args2) { return PretrainedConfig.from_pretrained(...args2); } }; function resolveExternalDataFormat(config, fullName, fileName) { if (!config) return 0; if (typeof config === "object" && config !== null) { if (config.hasOwnProperty(fullName)) return +config[fullName]; if (config.hasOwnProperty(fileName)) return +config[fileName]; return 0; } return +config; } function getExternalDataChunkNames(fullName, numChunks) { const names = []; for (let i = 0; i < numChunks; ++i) { names.push(`${fullName}_data${i === 0 ? "" : "_" + i}`); } return names; } async function getCoreModelFile(pretrained_model_name_or_path, fileName, options, suffix) { const baseName = `${fileName}${suffix}.onnx`; const fullPath = `${options.subfolder ?? ""}/${baseName}`; return await getModelFile(pretrained_model_name_or_path, fullPath, true, options, apis.IS_NODE_ENV); } async function getModelDataFiles(pretrained_model_name_or_path, fileName, suffix, options, use_external_data_format, session_options = {}) { const baseName = `${fileName}${suffix}.onnx`; const return_path = apis.IS_NODE_ENV; let externalDataPromises = []; const num_chunks = resolveExternalDataFormat(use_external_data_format, baseName, fileName); if (num_chunks > 0) { if (num_chunks > MAX_EXTERNAL_DATA_CHUNKS) { throw new Error( `The number of external data chunks (${num_chunks}) exceeds the maximum allowed value (${MAX_EXTERNAL_DATA_CHUNKS}).` ); } const chunkNames = getExternalDataChunkNames(baseName, num_chunks); for (const path3 of chunkNames) { const fullPath = `${options.subfolder ?? ""}/${path3}`; externalDataPromises.push( new Promise(async (resolve, reject) => { const data = await getModelFile( pretrained_model_name_or_path, fullPath, true, options, return_path ); resolve(data instanceof Uint8Array ? { path: path3, data } : path3); }) ); } } else if (session_options.externalData !== void 0) { externalDataPromises = session_options.externalData.map(async (ext) => { if (typeof ext.data === "string") { const ext_buffer = await getModelFile(pretrained_model_name_or_path, ext.data, true, options); return { ...ext, data: ext_buffer }; } return ext; }); } return Promise.all(externalDataPromises); } async function getSession(pretrained_model_name_or_path, fileName, options, cache_config = false, session_name = void 0) { let custom_config = options.config?.["transformers.js_config"] ?? {}; const selectedDevice = ( /** @type {import("../utils/devices.js").DeviceType} */ selectDevice(options.device ?? custom_config.device, fileName, { warn: (msg) => logger.info(msg) }) ); const executionProviders = deviceToExecutionProviders(selectedDevice); const device_config = custom_config.device_config ?? {}; if (device_config.hasOwnProperty(selectedDevice)) { custom_config = { ...custom_config, ...device_config[selectedDevice] }; } const selectedDtype = ( /** @type {import("../utils/dtypes.js").DataType} */ selectDtype(options.dtype ?? custom_config.dtype, fileName, selectedDevice, { configDtype: custom_config.dtype, warn: (msg) => logger.info(msg) }) ); if (!DEFAULT_DTYPE_SUFFIX_MAPPING.hasOwnProperty(selectedDtype)) { throw new Error(`Invalid dtype: ${selectedDtype}. Should be one of: ${Object.keys(DATA_TYPES).join(", ")}`); } else if (selectedDevice === "webgpu" && // NOTE: Currently, we assume that the Native WebGPU EP always supports fp16. In future, we will add a check for this. !apis.IS_NODE_ENV && selectedDtype === DATA_TYPES.fp16 && !await isWebGpuFp16Supported()) { throw new Error(`The device (${selectedDevice}) does not support fp16.`); } const suffix = DEFAULT_DTYPE_SUFFIX_MAPPING[selectedDtype]; const session_options = { ...options.session_options }; session_options.executionProviders ??= executionProviders; const free_dimension_overrides = custom_config.free_dimension_overrides; if (free_dimension_overrides) { session_options.freeDimensionOverrides ??= free_dimension_overrides; } else if (selectedDevice.startsWith("webnn") && !session_options.freeDimensionOverrides) { logger.warn( `WebNN does not currently support dynamic shapes and requires 'free_dimension_overrides' to be set in config.json, preferably as a field within config["transformers.js_config"]["device_config"]["${selectedDevice}"]. When 'free_dimension_overrides' is not set, you may experience significant performance degradation.` ); } const bufferOrPathPromise = getCoreModelFile(pretrained_model_name_or_path, fileName, options, suffix); const use_external_data_format = options.use_external_data_format ?? custom_config.use_external_data_format; const externalData = await getModelDataFiles( pretrained_model_name_or_path, fileName, suffix, options, use_external_data_format, session_options ); if (externalData.length > 0 && (!apis.IS_NODE_ENV || externalData.some((data) => typeof data !== "string"))) { session_options.externalData = externalData; } if (cache_config && selectedDevice === "webgpu") { const names = getCacheNames(options.config, { prefix: "present", session_name }); if (names.size > 0 && !isONNXProxy()) { const preferredOutputLocation = {}; for (const key of names) { preferredOutputLocation[key] = "gpu-buffer"; } session_options.preferredOutputLocation = preferredOutputLocation; } } const buffer_or_path = await bufferOrPathPromise; const session_config = { dtype: selectedDtype, device: selectedDevice }; return { buffer_or_path, session_options, session_config }; } async function constructSessions(pretrained_model_name_or_path, names, options, cache_sessions = void 0) { return Object.fromEntries( await Promise.all( Object.keys(names).map(async (name) => { const cache_config = cache_sessions?.[name] ?? false; const { buffer_or_path, session_options, session_config } = await getSession( pretrained_model_name_or_path, names[name], options, cache_config, name ); const session = await createInferenceSession(buffer_or_path, session_options, session_config); return [name, session]; }) ) ); } function replaceTensors(obj) { for (let prop in obj) { if (isONNXTensor(obj[prop])) { obj[prop] = new Tensor2(obj[prop]); } else if (typeof obj[prop] === "object") { replaceTensors(obj[prop]); } } return obj; } async function sessionRun(session, inputs) { const checkedInputs = validateInputs(session, inputs); try { const ortFeed = Object.fromEntries( Object.entries(checkedInputs).map(([k2, v]) => { const tensor = ( /** @type {any} */ v.ort_tensor ); if (apis.IS_NODE_ENV) { if (typeof Float16Array !== "undefined" && tensor.cpuData instanceof Float16Array) { tensor.cpuData = new Uint16Array(tensor.cpuData.buffer); } } return [k2, tensor]; }) ); const output = await runInferenceSession(session, ortFeed); return replaceTensors(output); } catch (e) { const formatted = Object.fromEntries( Object.entries(checkedInputs).map(([k2, tensor]) => { const unpacked = { type: tensor.type, dims: tensor.dims, location: tensor.location }; if (unpacked.location !== "gpu-buffer") { unpacked.data = tensor.data; } return [k2, unpacked]; }) ); logger.error(`An error occurred during model execution: "${e}".`); logger.error("Inputs given to model:", formatted); throw e; } } function validateInputs(session, inputs) { const checkedInputs = /* @__PURE__ */ Object.create(null); const missingInputs = []; for (const inputName of session.inputNames) { const tensor = inputs[inputName]; if (!(tensor instanceof Tensor2)) { missingInputs.push(inputName); continue; } checkedInputs[inputName] = isONNXProxy() ? tensor.clone() : tensor; } if (missingInputs.length > 0) { throw new Error( `An error occurred during model execution: "Missing the following inputs: ${missingInputs.join(", ")}.` ); } const numInputsProvided = Object.keys(inputs).length; const numInputsNeeded = session.inputNames.length; if (numInputsProvided > numInputsNeeded) { let ignored = Object.keys(inputs).filter((inputName) => !session.inputNames.includes(inputName)); logger.warn( `WARNING: Too many inputs were provided (${numInputsProvided} > ${numInputsNeeded}). The following inputs will be ignored: "${ignored.join(", ")}".` ); } return checkedInputs; } var ModelOutput = class { }; var SequenceClassifierOutput = class extends ModelOutput { /** * @param {Object} output The output of the model. * @param {Tensor} output.logits classification (or regression if config.num_labels==1) scores (before SoftMax). * @param {Record} [output.attentions] Object of `torch.FloatTensor` (one for each layer) of shape `(batch_size, num_heads, sequence_length, sequence_length)`. * Attentions weights after the attention softmax, used to compute the weighted average in the self-attention heads. */ constructor({ logits, ...attentions }) { super(); this.logits = logits; const attentions_list = Object.values(attentions); if (attentions_list.length > 0) { this.attentions = attentions_list; } } }; var TokenClassifierOutput = class extends ModelOutput { /** * @param {Object} output The output of the model. * @param {Tensor} output.logits Classification scores (before SoftMax). */ constructor({ logits }) { super(); this.logits = logits; } }; var MaskedLMOutput = class extends ModelOutput { /** * @param {Object} output The output of the model. * @param {Tensor} output.logits Prediction scores of the language modeling head (scores for each vocabulary token before SoftMax). */ constructor({ logits }) { super(); this.logits = logits; } }; var QuestionAnsweringModelOutput = class extends ModelOutput { /** * @param {Object} output The output of the model. * @param {Tensor} output.start_logits Span-start scores (before SoftMax). * @param {Tensor} output.end_logits Span-end scores (before SoftMax). */ constructor({ start_logits, end_logits }) { super(); this.start_logits = start_logits; this.end_logits = end_logits; } }; var CausalLMOutput = class extends ModelOutput { /** * @param {Object} output The output of the model. * @param {Tensor} output.logits Prediction scores of the language modeling head (scores for each vocabulary token before softmax). */ constructor({ logits }) { super(); this.logits = logits; } }; var ImageMattingOutput = class extends ModelOutput { /** * @param {Object} output The output of the model. * @param {Tensor} output.alphas Estimated alpha values, of shape `(batch_size, num_channels, height, width)`. */ constructor({ alphas }) { super(); this.alphas = alphas; } }; var LogitsProcessor = class extends Callable { /** * Apply the processor to the input logits. * * @abstract * @param {bigint[][]} input_ids The input ids. * @param {Tensor} logits The logits to process. * @throws {Error} Throws an error if `_call` is not implemented in the subclass. */ _call(input_ids, logits) { throw Error("`_call` should be implemented in a subclass"); } }; var LogitsWarper = class extends Callable { /** * Apply the processor to the input logits. * * @abstract * @param {bigint[][]} input_ids The input ids. * @param {Tensor} logits The logits to process. * @throws {Error} Throws an error if `_call` is not implemented in the subclass. */ _call(input_ids, logits) { throw Error("`_call` should be implemented in a subclass"); } }; var LogitsProcessorList = class extends Callable { /** * Constructs a new instance of `LogitsProcessorList`. */ constructor() { super(); this.processors = []; } /** * Adds a new logits processor to the list. * * @param {LogitsProcessor} item The logits processor function to add. */ push(item) { this.processors.push(item); } /** * Adds multiple logits processors to the list. * * @param {LogitsProcessor[]} items The logits processor functions to add. */ extend(items) { this.processors.push(...items); } /** * Applies all logits processors in the list to a batch of logits, modifying them in-place. * * @param {bigint[][]} input_ids The input IDs for the language model. * @param {Tensor} logits */ _call(input_ids, logits) { let toReturn = logits; for (const processor of this.processors) { toReturn = processor(input_ids, toReturn); } return toReturn; } [Symbol.iterator]() { return this.processors.values(); } }; var ForcedBOSTokenLogitsProcessor = class extends LogitsProcessor { /** * Create a ForcedBOSTokenLogitsProcessor. * @param {number} bos_token_id The ID of the beginning-of-sequence token to be forced. */ constructor(bos_token_id) { super(); this.bos_token_id = bos_token_id; } /** * Apply the BOS token forcing to the logits. * @param {bigint[][]} input_ids The input IDs. * @param {Tensor} logits The logits. * @returns {Tensor} The logits with BOS token forcing. */ _call(input_ids, logits) { for (let i = 0; i < input_ids.length; ++i) { if (input_ids[i].length === 1) { const batch_logits_data = ( /** @type {Float32Array} */ logits[i].data ); batch_logits_data.fill(-Infinity); batch_logits_data[this.bos_token_id] = 0; } } return logits; } }; var ForcedEOSTokenLogitsProcessor = class extends LogitsProcessor { /** * Create a ForcedEOSTokenLogitsProcessor. * @param {number} max_length The maximum length of the sequence to be generated. * @param {number|number[]} eos_token_id The id(s) of the *end-of-sequence* token. */ constructor(max_length, eos_token_id) { super(); this.max_length = max_length; this.eos_token_id = Array.isArray(eos_token_id) ? eos_token_id : [eos_token_id]; } /** * Apply the processor to input_ids and logits. * * @param {bigint[][]} input_ids The input ids. * @param {Tensor} logits The logits tensor. */ _call(input_ids, logits) { for (let i = 0; i < input_ids.length; ++i) { if (input_ids[i].length === this.max_length - 1) { const batch_logits_data = ( /** @type {Float32Array} */ logits[i].data ); batch_logits_data.fill(-Infinity); for (const eos_token of this.eos_token_id) { batch_logits_data[eos_token] = 0; } } } return logits; } }; var SuppressTokensLogitsProcessor = class extends LogitsProcessor { /** * Create a SuppressTokensLogitsProcessor. * @param {number[]} suppress_tokens The IDs of the tokens to suppress. */ constructor(suppress_tokens) { super(); this.suppress_tokens = suppress_tokens; } /** * Suppress the specified tokens by setting their logits to -Infinity. * @param {bigint[][]} input_ids The input IDs. * @param {Tensor} logits The logits. * @returns {Tensor} The modified logits. */ _call(input_ids, logits) { for (let i = 0; i < input_ids.length; ++i) { const batch_logits_data = ( /** @type {Float32Array} */ logits[i].data ); for (const token_id of this.suppress_tokens) { batch_logits_data[token_id] = -Infinity; } } return logits; } }; var SuppressTokensAtBeginLogitsProcessor = class extends LogitsProcessor { /** * Create a SuppressTokensAtBeginLogitsProcessor. * @param {number[]} begin_suppress_tokens The IDs of the tokens to suppress. * @param {number} begin_index The number of tokens to generate before suppressing tokens. */ constructor(begin_suppress_tokens, begin_index) { super(); this.begin_suppress_tokens = begin_suppress_tokens; this.begin_index = begin_index; } /** * Apply the BOS token forcing to the logits. * @param {bigint[][]} input_ids The input IDs. * @param {Tensor} logits The logits. * @returns {Tensor} The logits with BOS token forcing. */ _call(input_ids, logits) { for (let i = 0; i < input_ids.length; ++i) { if (input_ids[i].length === this.begin_index) { const batch_logits_data = ( /** @type {Float32Array} */ logits[i].data ); for (const token_id of this.begin_suppress_tokens) { batch_logits_data[token_id] = -Infinity; } } } return logits; } }; var WhisperTimeStampLogitsProcessor = class extends LogitsProcessor { /** * Constructs a new WhisperTimeStampLogitsProcessor. * @param {import('../models/whisper/generation_whisper.js').WhisperGenerationConfig} generate_config The config object passed to the `generate()` method of a transformer model. * @param {number[]} init_tokens The initial tokens of the input sequence. */ constructor(generate_config, init_tokens) { super(); this.eos_token_id = Array.isArray(generate_config.eos_token_id) ? generate_config.eos_token_id[0] : generate_config.eos_token_id; this.no_timestamps_token_id = generate_config.no_timestamps_token_id; this.timestamp_begin = this.no_timestamps_token_id + 1; this.begin_index = init_tokens.length; if (init_tokens.at(-1) === this.no_timestamps_token_id) { this.begin_index -= 1; } this.max_initial_timestamp_index = generate_config.max_initial_timestamp_index; } /** * Modify the logits to handle timestamp tokens. * @param {bigint[][]} input_ids The input sequence of tokens. * @param {Tensor} logits The logits output by the model. * @returns {Tensor} The modified logits. */ _call(input_ids, logits) { for (let i = 0; i < input_ids.length; ++i) { const batch_logits_data = ( /** @type {Float32Array} */ logits[i].data ); batch_logits_data[this.no_timestamps_token_id] = -Infinity; if (input_ids[i].length === this.begin_index) { batch_logits_data.subarray(0, this.timestamp_begin).fill(-Infinity); continue; } const seq = input_ids[i].slice(this.begin_index); const last_was_timestamp = seq.length >= 1 && seq[seq.length - 1] >= this.timestamp_begin; const penultimate_was_timestamp = seq.length < 2 || seq[seq.length - 2] >= this.timestamp_begin; if (last_was_timestamp) { if (penultimate_was_timestamp) { batch_logits_data.subarray(this.timestamp_begin).fill(-Infinity); } else { batch_logits_data.subarray(0, this.eos_token_id).fill(-Infinity); } } if (input_ids[i].length === this.begin_index && this.max_initial_timestamp_index !== null) { const last_allowed = this.timestamp_begin + this.max_initial_timestamp_index; batch_logits_data.subarray(last_allowed + 1).fill(-Infinity); } const logprobs = log_softmax(batch_logits_data); const timestamp_logprob = Math.log( logprobs.subarray(this.timestamp_begin).map(Math.exp).reduce((a, b) => a + b) ); const max_text_token_logprob = max(logprobs.subarray(0, this.timestamp_begin))[0]; if (timestamp_logprob > max_text_token_logprob) { batch_logits_data.subarray(0, this.timestamp_begin).fill(-Infinity); } } return logits; } }; var NoRepeatNGramLogitsProcessor = class extends LogitsProcessor { /** * Create a NoRepeatNGramLogitsProcessor. * @param {number} no_repeat_ngram_size The no-repeat-ngram size. All ngrams of this size can only occur once. */ constructor(no_repeat_ngram_size) { super(); this.no_repeat_ngram_size = no_repeat_ngram_size; } /** * Generate n-grams from a sequence of token ids. * @param {bigint[]} prevInputIds List of previous input ids * @returns {Map} Map of generated n-grams */ getNgrams(prevInputIds) { const curLen = prevInputIds.length; const ngrams = []; for (let j = 0; j < curLen + 1 - this.no_repeat_ngram_size; ++j) { const ngram = []; for (let k2 = 0; k2 < this.no_repeat_ngram_size; ++k2) { ngram.push(prevInputIds[j + k2]); } ngrams.push(ngram.map(Number)); } const generatedNgram = /* @__PURE__ */ new Map(); for (const ngram of ngrams) { const prevNgram = ngram.slice(0, ngram.length - 1); const prevNgramKey = JSON.stringify(prevNgram); const prevNgramValue = generatedNgram.get(prevNgramKey) ?? []; prevNgramValue.push(ngram[ngram.length - 1]); generatedNgram.set(prevNgramKey, prevNgramValue); } return generatedNgram; } /** * Generate n-grams from a sequence of token ids. * @param {Map} bannedNgrams Map of banned n-grams * @param {bigint[]} prevInputIds List of previous input ids * @returns {number[]} Map of generated n-grams */ getGeneratedNgrams(bannedNgrams, prevInputIds) { const ngramIdx = prevInputIds.slice(prevInputIds.length + 1 - this.no_repeat_ngram_size, prevInputIds.length); const banned = bannedNgrams.get(JSON.stringify(ngramIdx.map(Number))) ?? []; return banned; } /** * Calculate banned n-gram tokens * @param {bigint[]} prevInputIds List of previous input ids * @returns {number[]} Map of generated n-grams */ calcBannedNgramTokens(prevInputIds) { const bannedTokens = []; if (prevInputIds.length + 1 < this.no_repeat_ngram_size) { return bannedTokens; } else { const generatedNgrams = this.getNgrams(prevInputIds); const bannedTokens2 = this.getGeneratedNgrams(generatedNgrams, prevInputIds); return bannedTokens2; } } /** * Apply the no-repeat-ngram processor to the logits. * @param {bigint[][]} input_ids The input IDs. * @param {Tensor} logits The logits. * @returns {Tensor} The logits with no-repeat-ngram processing. */ _call(input_ids, logits) { for (let i = 0; i < input_ids.length; ++i) { const batch_logits_data = ( /** @type {Float32Array} */ logits[i].data ); const bannedTokens = this.calcBannedNgramTokens(input_ids[i]); for (const token of bannedTokens) { batch_logits_data[token] = -Infinity; } } return logits; } }; var RepetitionPenaltyLogitsProcessor = class extends LogitsProcessor { /** * Create a RepetitionPenaltyLogitsProcessor. * @param {number} penalty The parameter for repetition penalty. * - 1.0 means no penalty. Above 1.0 penalizes previously generated tokens. * - Between 0.0 and 1.0 rewards previously generated tokens. */ constructor(penalty) { super(); this.penalty = penalty; } /** * Apply the repetition penalty to the logits. * @param {bigint[][]} input_ids The input IDs. * @param {Tensor} logits The logits. * @returns {Tensor} The logits with repetition penalty processing. */ _call(input_ids, logits) { for (let i = 0; i < input_ids.length; ++i) { const batch_logits_data = ( /** @type {Float32Array} */ logits[i].data ); for (const input_id of new Set(input_ids[i])) { const token = Number(input_id); if (batch_logits_data[token] < 0) { batch_logits_data[token] *= this.penalty; } else { batch_logits_data[token] /= this.penalty; } } } return logits; } }; var MinLengthLogitsProcessor = class extends LogitsProcessor { /** * Create a MinLengthLogitsProcessor. * @param {number} min_length The minimum length below which the score of `eos_token_id` is set to negative infinity. * @param {number|number[]} eos_token_id The ID/IDs of the end-of-sequence token. */ constructor(min_length, eos_token_id) { super(); this.min_length = min_length; this.eos_token_id = Array.isArray(eos_token_id) ? eos_token_id : [eos_token_id]; } /** * Apply logit processor. * @param {bigint[][]} input_ids The input IDs. * @param {Tensor} logits The logits. * @returns {Tensor} The processed logits. */ _call(input_ids, logits) { for (let i = 0; i < input_ids.length; ++i) { if (input_ids[i].length < this.min_length) { const batch_logits_data = ( /** @type {Float32Array} */ logits[i].data ); for (const eos_token of this.eos_token_id) { batch_logits_data[eos_token] = -Infinity; } } } return logits; } }; var MinNewTokensLengthLogitsProcessor = class extends LogitsProcessor { /** * Create a MinNewTokensLengthLogitsProcessor. * @param {number} prompt_length_to_skip The input tokens length. * @param {number} min_new_tokens The minimum *new* tokens length below which the score of `eos_token_id` is set to negative infinity. * @param {number|number[]} eos_token_id The ID/IDs of the end-of-sequence token. */ constructor(prompt_length_to_skip, min_new_tokens, eos_token_id) { super(); this.prompt_length_to_skip = prompt_length_to_skip; this.min_new_tokens = min_new_tokens; this.eos_token_id = Array.isArray(eos_token_id) ? eos_token_id : [eos_token_id]; } /** * Apply logit processor. * @param {bigint[][]} input_ids The input IDs. * @param {Tensor} logits The logits. * @returns {Tensor} The processed logits. */ _call(input_ids, logits) { for (let i = 0; i < input_ids.length; ++i) { const new_tokens_length = input_ids[i].length - this.prompt_length_to_skip; if (new_tokens_length < this.min_new_tokens) { const batch_logits_data = ( /** @type {Float32Array} */ logits[i].data ); for (const eos_token of this.eos_token_id) { batch_logits_data[eos_token] = -Infinity; } } } return logits; } }; var NoBadWordsLogitsProcessor = class extends LogitsProcessor { /** * Create a `NoBadWordsLogitsProcessor`. * @param {number[][]} bad_words_ids List of list of token ids that are not allowed to be generated. * @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. */ constructor(bad_words_ids, eos_token_id) { super(); this.bad_words_ids = bad_words_ids; this.eos_token_id = Array.isArray(eos_token_id) ? eos_token_id : [eos_token_id]; } /** * Apply logit processor. * @param {bigint[][]} input_ids The input IDs. * @param {Tensor} logits The logits. * @returns {Tensor} The processed logits. */ _call(input_ids, logits) { for (let i = 0; i < input_ids.length; ++i) { const batch_logits_data = ( /** @type {Float32Array} */ logits[i].data ); const ids = input_ids[i]; for (const bad_word_ids of this.bad_words_ids) { if (ids.length < bad_word_ids.length - 1) continue; let mark = true; for (let j = 1; j <= bad_word_ids.length - 1; ++j) { if (bad_word_ids.at(-j - 1) != ids.at(-j)) { mark = false; break; } } if (mark) { batch_logits_data[bad_word_ids.at(-1)] = -Infinity; } } } return logits; } }; var ClassifierFreeGuidanceLogitsProcessor = class extends LogitsProcessor { /** * Create a `ClassifierFreeGuidanceLogitsProcessor`. * @param {number} guidance_scale The guidance scale for classifier free guidance (CFG). CFG is enabled by setting `guidance_scale > 1`. * Higher guidance scale encourages the model to generate samples that are more closely linked to the input * prompt, usually at the expense of poorer quality. */ constructor(guidance_scale) { super(); if (guidance_scale <= 1) { throw new Error( `Require guidance scale >1 to use the classifier free guidance processor, got guidance scale ${guidance_scale}.` ); } this.guidance_scale = guidance_scale; } /** * Apply logit processor. * @param {bigint[][]} input_ids The input IDs. * @param {Tensor} logits The logits. * @returns {Tensor} The processed logits. */ _call(input_ids, logits) { if (logits.dims[0] !== 2 * input_ids.length) { throw new Error( `Logits should have twice the batch size of the input ids, the first half of batches corresponding to the conditional inputs, and the second half of batches corresponding to the unconditional inputs. Got batch size ${logits.dims[0]} for the logits and ${input_ids.length} for the input ids.` ); } const unguided_bsz = input_ids.length; const cond_logits = logits.slice([0, unguided_bsz], null); const uncond_logits = logits.slice([unguided_bsz, logits.dims[0]], null); for (let i = 0; i < uncond_logits.data.length; ++i) { uncond_logits.data[i] += (cond_logits.data[i] - uncond_logits.data[i]) * this.guidance_scale; } return uncond_logits; } }; var TemperatureLogitsWarper = class extends LogitsWarper { /** * Create a `TemperatureLogitsWarper`. * @param {number} temperature Strictly positive float value used to modulate the logits distribution. * A value smaller than `1` decreases randomness (and vice versa), with `0` being equivalent to shifting * all probability mass to the most likely token. */ constructor(temperature) { super(); if (typeof temperature !== "number" || temperature <= 0) { let errorMessage = `\`temperature\` (=${temperature}) must be a strictly positive float, otherwise your next token scores will be invalid.`; if (temperature === 0) { errorMessage += " If you're looking for greedy decoding strategies, set `do_sample=false`."; } } this.temperature = temperature; } /** * Apply logit warper. * @param {bigint[][]} input_ids The input IDs. * @param {Tensor} logits The logits. * @returns {Tensor} The processed logits. */ _call(input_ids, logits) { const batch_logits_data = ( /** @type {Float32Array} */ logits.data ); for (let i = 0; i < batch_logits_data.length; ++i) { batch_logits_data[i] /= this.temperature; } return logits; } }; var TopPLogitsWarper = class extends LogitsWarper { /** * Create a `TopPLogitsWarper`. * @param {number} top_p If set to < 1, only the smallest set of most probable tokens with * probabilities that add up to `top_p` or higher are kept for generation. * @param {Object} options Additional options for the top-p sampling. * @param {number} [options.filter_value=-Infinity] All filtered values will be set to this float value. * @param {number} [options.min_tokens_to_keep=1] Minimum number of tokens that cannot be filtered. */ constructor(top_p, { filter_value = -Infinity, min_tokens_to_keep = 1 } = {}) { super(); if (top_p < 0 || top_p > 1) { throw new Error(`\`top_p\` must be a float > 0 and < 1, but is ${top_p}`); } if (!Number.isInteger(min_tokens_to_keep) || min_tokens_to_keep < 1) { throw new Error(`\`min_tokens_to_keep\` must be a positive integer, but is ${min_tokens_to_keep}`); } this.top_p = top_p; this.filter_value = filter_value; this.min_tokens_to_keep = min_tokens_to_keep; } }; var TopKLogitsWarper = class extends LogitsWarper { /** * Create a `TopKLogitsWarper`. * @param {number} top_k If set to > 0, only the top `top_k` tokens are kept for generation. * @param {Object} options Additional options for the top-k sampling. * @param {number} [options.filter_value=-Infinity] All filtered values will be set to this float value. * @param {number} [options.min_tokens_to_keep=1] Minimum number of tokens that cannot be filtered. */ constructor(top_k, { filter_value = -Infinity, min_tokens_to_keep = 1 } = {}) { super(); if (!Number.isInteger(top_k) || top_k < 0) { throw new Error(`\`top_k\` must be a positive integer, but is ${top_k}`); } this.top_k = Math.max(top_k, min_tokens_to_keep); this.filter_value = filter_value; } }; var GenerationConfig = class { // Parameters that control the length of the output /** * The maximum length the generated tokens can have. * Corresponds to the length of the input prompt + `max_new_tokens`. * Its effect is overridden by `max_new_tokens`, if also set. * @type {number} * @default 20 */ max_length = 20; /** * The maximum numbers of tokens to generate, ignoring the number of tokens in the prompt. * @type {number} * @default null */ max_new_tokens = null; /** * The minimum length of the sequence to be generated. * Corresponds to the length of the input prompt + `min_new_tokens`. * Its effect is overridden by `min_new_tokens`, if also set. * @type {number} * @default 0 */ min_length = 0; /** * The minimum numbers of tokens to generate, ignoring the number of tokens in the prompt. * @type {number} * @default null */ min_new_tokens = null; /** * Controls the stopping condition for beam-based methods, like beam-search. It accepts the following values: * - `true`, where the generation stops as soon as there are `num_beams` complete candidates; * - `false`, where an heuristic is applied and the generation stops when is it very unlikely to find better candidates; * - `"never"`, where the beam search procedure only stops when there cannot be better candidates (canonical beam search algorithm). * @type {boolean|"never"} * @default false */ early_stopping = false; /** * The maximum amount of time you allow the computation to run for in seconds. * Generation will still finish the current pass after allocated time has been passed. * @type {number} * @default null */ max_time = null; // Parameters that control the generation strategy used /** * Whether or not to use sampling; use greedy decoding otherwise. * @type {boolean} * @default false */ do_sample = false; /** * Number of beams for beam search. 1 means no beam search. * @type {number} * @default 1 */ num_beams = 1; /** * Number of groups to divide `num_beams` into in order to ensure diversity among different groups of beams. * See [this paper](https://huggingface.co/papers/1610.02424) for more details. * @type {number} * @default 1 */ num_beam_groups = 1; /** * The values balance the model confidence and the degeneration penalty in contrastive search decoding. * @type {number} * @default null */ penalty_alpha = null; /** * Whether or not the model should use the past last key/values attentions (if applicable to the model) to speed up decoding. * @type {boolean} * @default true */ use_cache = true; // Parameters for manipulation of the model output logits /** * The value used to modulate the next token probabilities. * @type {number} * @default 1.0 */ temperature = 1; /** * The number of highest probability vocabulary tokens to keep for top-k-filtering. * @type {number} * @default 50 */ top_k = 50; /** * 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. * @type {number} * @default 1.0 */ top_p = 1; /** * Local typicality measures how similar the conditional probability of predicting a target token next is to the expected conditional probability of predicting a random token next, given the partial text already generated. * If set to float < 1, the smallest set of the most locally typical tokens with probabilities that add up to `typical_p` or higher are kept for generation. * See [this paper](https://huggingface.co/papers/2202.00666) for more details. * @type {number} * @default 1.0 */ typical_p = 1; /** * If set to float strictly between 0 and 1, only tokens with a conditional probability greater than `epsilon_cutoff` will be sampled. * In the paper, suggested values range from 3e-4 to 9e-4, depending on the size of the model. * See [Truncation Sampling as Language Model Desmoothing](https://huggingface.co/papers/2210.15191) for more details. * @type {number} * @default 0.0 */ epsilon_cutoff = 0; /** * Eta sampling is a hybrid of locally typical sampling and epsilon sampling. * If set to float strictly between 0 and 1, a token is only considered if it is greater than either `eta_cutoff` or `sqrt(eta_cutoff) * exp(-entropy(softmax(next_token_logits)))`. * The latter term is intuitively the expected next token probability, scaled by `sqrt(eta_cutoff)`. In the paper, suggested values range from 3e-4 to 2e-3, depending on the size of the model. * See [Truncation Sampling as Language Model Desmoothing](https://huggingface.co/papers/2210.15191) for more details. * @type {number} * @default 0.0 */ eta_cutoff = 0; /** * This value is subtracted from a beam's score if it generates a token same as any beam from other group at a particular time. * Note that `diversity_penalty` is only effective if `group beam search` is enabled. * @type {number} * @default 0.0 */ diversity_penalty = 0; /** * The parameter for repetition penalty. 1.0 means no penalty. * See [this paper](https://huggingface.co/papers/1909.05858) for more details. * @type {number} * @default 1.0 */ repetition_penalty = 1; /** * The paramater for encoder_repetition_penalty. * An exponential penalty on sequences that are not in the original input. * 1.0 means no penalty. * @type {number} * @default 1.0 */ encoder_repetition_penalty = 1; /** * Exponential penalty to the length that is used with beam-based generation. * It is applied as an exponent to the sequence length, which in turn is used to divide the score of the sequence. * Since the score is the log likelihood of the sequence (i.e. negative), `length_penalty` > 0.0 promotes longer sequences, while `length_penalty` < 0.0 encourages shorter sequences. * @type {number} * @default 1.0 */ length_penalty = 1; /** * If set to int > 0, all ngrams of that size can only occur once. * @type {number} * @default 0 */ no_repeat_ngram_size = 0; /** * List of token ids that are not allowed to be generated. * In order to get the token ids of the words that should not appear in the generated text, use * `tokenizer(bad_words, { add_prefix_space: true, add_special_tokens: false }).input_ids`. * @type {number[][]} * @default null */ bad_words_ids = null; /** * List of token ids that must be generated. * If given a `number[][]`, this is treated as a simple list of words that must be included, the opposite to `bad_words_ids`. * If given `number[][][]`, this triggers a [disjunctive constraint](https://github.com/huggingface/transformers/issues/14081), where one can allow different forms of each word. * @type {number[][]|number[][][]} * @default null */ force_words_ids = null; /** * Whether to renormalize the logits after applying all the logits processors or warpers (including the custom ones). * It's highly recommended to set this flag to `true` as the search algorithms suppose the score logits are normalized but some logit processors or warpers break the normalization. * @type {boolean} * @default false */ renormalize_logits = false; /** * 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. * @type {Object[]} * @default null */ constraints = null; /** * The id of the token to force as the first generated token after the `decoder_start_token_id`. * Useful for multilingual models like mBART where the first generated token needs to be the target language token. * @type {number} * @default null */ forced_bos_token_id = null; /** * The id of the token to force as the last generated token when `max_length` is reached. * Optionally, use a list to set multiple *end-of-sequence* tokens. * @type {number|number[]} * @default null */ forced_eos_token_id = null; /** * 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. * @type {boolean} */ remove_invalid_values = false; /** * This Tuple adds an exponentially increasing length penalty, after a certain amount of tokens have been generated. * The tuple shall consist of: `(start_index, decay_factor)` where `start_index` indicates where penalty starts and `decay_factor` represents the factor of exponential decay. * @type {[number, number]} * @default null */ exponential_decay_length_penalty = null; /** * A list of tokens that will be suppressed at generation. * The `SuppressTokens` logit processor will set their log probs to `-inf` so that they are not sampled. * @type {number[]} * @default null */ suppress_tokens = null; /** * A streamer that will be used to stream the generation. * @type {import('./streamers.js').TextStreamer} * @default null */ streamer = null; /** * A list of tokens that will be suppressed at the beginning of the generation. * The `SuppressBeginTokens` logit processor will set their log probs to `-inf` so that they are not sampled. * @type {number[]} * @default null */ begin_suppress_tokens = null; /** * A list of pairs of integers which indicates a mapping from generation indices to token indices that will be forced before sampling. * For example, `[[1, 123]]` means the second generated token will always be a token of index 123. * @type {[number, number][]} * @default null */ forced_decoder_ids = null; /** * The guidance scale for classifier free guidance (CFG). CFG is enabled by setting `guidance_scale > 1`. * Higher guidance scale encourages the model to generate samples that are more closely linked to the input * prompt, usually at the expense of poorer quality. * @type {number} * @default null */ guidance_scale = null; // Parameters that define the output variables of `generate` /** * The number of independently computed returned sequences for each element in the batch. * @type {number} * @default 1 */ num_return_sequences = 1; /** * Whether or not to return the attentions tensors of all attention layers. * See `attentions` under returned tensors for more details. * @type {boolean} * @default false */ output_attentions = false; /** * Whether or not to return the hidden states of all layers. * See `hidden_states` under returned tensors for more details. * @type {boolean} * @default false */ output_hidden_states = false; /** * Whether or not to return the prediction scores. * See `scores` under returned tensors for more details. * @type {boolean} * @default false */ output_scores = false; /** * Whether or not to return a `ModelOutput` instead of a plain tuple. * @type {boolean} * @default false */ return_dict_in_generate = false; // Special tokens that can be used at generation time /** * The id of the *padding* token. * @type {number} * @default null */ pad_token_id = null; /** * The id of the *beginning-of-sequence* token. * @type {number} * @default null */ bos_token_id = null; /** * The id of the *end-of-sequence* token. * Optionally, use a list to set multiple *end-of-sequence* tokens. * @type {number|number[]} * @default null */ eos_token_id = null; // Generation parameters exclusive to encoder-decoder models /** * If set to int > 0, all ngrams of that size that occur in the `encoder_input_ids` cannot occur in the `decoder_input_ids`. * @type {number} * @default 0 */ encoder_no_repeat_ngram_size = 0; /** * If an encoder-decoder model starts decoding with a different token than *bos*, the id of that token. * @type {number} * @default null */ decoder_start_token_id = null; // Wild card /** * Additional generation kwargs will be forwarded to the `generate` function of the model. * Kwargs that are not present in `generate`'s signature will be used in the model forward pass. * @type {Object} * @default {} */ generation_kwargs = {}; /** * * @param {GenerationConfig|import('../configs.js').PretrainedConfig} config */ constructor(config) { Object.assign(this, pick(config, Object.getOwnPropertyNames(this))); } }; var StoppingCriteria = class extends Callable { /** * * @param {number[][]} input_ids (`number[][]` of shape `(batch_size, sequence_length)`): * Indices of input sequence tokens in the vocabulary. * @param {number[][]} scores scores (`number[][]` of shape `(batch_size, config.vocab_size)`): * Prediction scores of a language modeling head. These can be scores for each vocabulary token before SoftMax * or scores for each vocabulary token after SoftMax. * @returns {boolean[]} A list of booleans indicating whether each sequence should be stopped. */ _call(input_ids, scores) { throw Error("StoppingCriteria needs to be subclassed"); } }; var StoppingCriteriaList = class _StoppingCriteriaList extends Callable { /** * Constructs a new instance of `StoppingCriteriaList`. */ constructor() { super(); this.criteria = []; } /** * Adds a new stopping criterion to the list. * * @param {StoppingCriteria} item The stopping criterion to add. */ push(item) { this.criteria.push(item); } /** * Adds multiple stopping criteria to the list. * * @param {StoppingCriteria|StoppingCriteriaList|StoppingCriteria[]} items The stopping criteria to add. */ extend(items) { if (items instanceof _StoppingCriteriaList) { items = items.criteria; } else if (items instanceof StoppingCriteria) { items = [items]; } this.criteria.push(...items); } _call(input_ids, scores) { const is_done = new Array(input_ids.length).fill(false); for (const criterion of this.criteria) { const criterion_done = criterion(input_ids, scores); for (let i = 0; i < is_done.length; ++i) { is_done[i] ||= criterion_done[i]; } } return is_done; } [Symbol.iterator]() { return this.criteria.values(); } }; var MaxLengthCriteria = class extends StoppingCriteria { /** * * @param {number} max_length The maximum length that the output sequence can have in number of tokens. * @param {number} [max_position_embeddings=null] The maximum model length, as defined by the model's `config.max_position_embeddings` attribute. */ constructor(max_length, max_position_embeddings = null) { super(); this.max_length = max_length; this.max_position_embeddings = max_position_embeddings; } _call(input_ids) { return input_ids.map((ids) => ids.length >= this.max_length); } }; var EosTokenCriteria = class extends StoppingCriteria { /** * * @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. */ constructor(eos_token_id) { super(); if (!Array.isArray(eos_token_id)) { eos_token_id = [eos_token_id]; } this.eos_token_id = eos_token_id; } /** * * @param {number[][]} input_ids * @param {number[][]} scores * @returns {boolean[]} */ _call(input_ids, scores) { return input_ids.map((ids) => { const last = ids.at(-1); return this.eos_token_id.some((eos_id) => last == eos_id); }); } }; var InterruptableStoppingCriteria = class extends StoppingCriteria { constructor() { super(); this.interrupted = false; } interrupt() { this.interrupted = true; } reset() { this.interrupted = false; } _call(input_ids, scores) { return new Array(input_ids.length).fill(this.interrupted); } }; var LogitsSampler = class extends Callable { /** * Creates a new Sampler object with the specified generation config. * @param {GenerationConfig} generation_config The generation config. */ constructor(generation_config) { super(); this.generation_config = generation_config; } /** * Executes the sampler, using the specified logits. * @param {Tensor} logits * @returns {Promise<[bigint, number][]>} */ async _call(logits) { return this.sample(logits); } /** * Abstract method for sampling the logits. * @param {Tensor} logits * @throws {Error} If not implemented in subclass. * @returns {Promise<[bigint, number][]>} */ async sample(logits) { throw Error("sample should be implemented in subclasses."); } /** * Returns the specified logits as an array, with temperature applied. * @param {Tensor} logits * @param {number} index * @returns {Float32Array} */ getLogits(logits, index) { let vocabSize = logits.dims.at(-1); let logs = ( /** @type {Float32Array} */ logits.data ); if (index === -1) { logs = logs.slice(-vocabSize); } else { let startIndex = index * vocabSize; logs = logs.slice(startIndex, startIndex + vocabSize); } return logs; } /** * Selects an item randomly based on the specified probabilities. * @param {Float32Array} probabilities An array of probabilities to use for selection. * @returns {number} The index of the selected item. */ randomSelect(probabilities) { return _weightedIndex(probabilities); } /** * Returns a Sampler object based on the specified options. * @param {GenerationConfig} generation_config An object containing options for the sampler. * @returns {LogitsSampler} A Sampler object. */ static getSampler(generation_config) { if (generation_config.do_sample) { return new MultinomialSampler(generation_config); } else if (generation_config.num_beams > 1) { return new BeamSearchSampler(generation_config); } else { if (generation_config.num_return_sequences > 1) { throw Error( `num_return_sequences has to be 1 when doing greedy search, but is ${generation_config.num_return_sequences}.` ); } return new GreedySampler(generation_config); } } }; var GreedySampler = class extends LogitsSampler { /** * Sample the maximum probability of a given logits tensor. * @param {Tensor} logits * @returns {Promise<[bigint, number][]>} An array with a single tuple, containing the index of the maximum value and a meaningless score (since this is a greedy search). */ async sample(logits) { const argmax = max(logits.data)[1]; return [[BigInt(argmax), 0]]; } }; var MultinomialSampler = class extends LogitsSampler { /** * Sample from the logits. * @param {Tensor} logits * @returns {Promise<[bigint, number][]>} */ async sample(logits) { let k2 = logits.dims.at(-1); if (this.generation_config.top_k > 0) { k2 = Math.min(this.generation_config.top_k, k2); } const [v, i] = await topk(logits, k2); const probabilities = softmax( /** @type {Float32Array} */ v.data ); return Array.from({ length: this.generation_config.num_beams }, () => { const sampledIndex = this.randomSelect(probabilities); return [ i.data[sampledIndex], // token id Math.log(probabilities[sampledIndex]) // score ]; }); } }; var BeamSearchSampler = class extends LogitsSampler { /** * Sample from the logits. * @param {Tensor} logits * @returns {Promise<[bigint, number][]>} */ async sample(logits) { let k2 = logits.dims.at(-1); if (this.generation_config.top_k > 0) { k2 = Math.min(this.generation_config.top_k, k2); } const [v, i] = await topk(logits, k2); const probabilities = softmax( /** @type {Float32Array} */ v.data ); return Array.from({ length: this.generation_config.num_beams }, (_, x) => { return [ i.data[x], // token id Math.log(probabilities[x]) // score ]; }); } }; var _DynamicCache = class { /** * Create a DynamicCache, optionally pre-populated with entries. * @param {Record} [entries] Initial name→Tensor mappings. */ constructor(entries) { if (!entries) return; for (const key in entries) { if (key in this) { throw new TypeError(`Key "${key}" conflicts with an existing property on DynamicCache`); } const value = entries[key]; if (!(value instanceof Tensor2)) { throw new TypeError(`Expected a Tensor for key "${key}", got ${typeof value}`); } this[key] = value; } } /** * Get the cached sequence length. This requires at least one attention cache entry to be present. * @returns {number} The past sequence length. */ get_seq_length() { const self2 = ( /** @type {any} */ this ); if (Object.keys(self2).length === 0) { return 0; } for (const name in self2) { if (name.startsWith("past_key_values.")) { return self2[name].dims.at(-2); } } throw new Error("Unable to determine sequence length from the cache."); } /** * Update the cache in-place with new entries, disposing replaced GPU tensors. * @param {Record} newEntries The new name → Tensor mappings. */ update(newEntries) { for (const key in newEntries) { const oldValue = this[key]; const newValue = newEntries[key]; if (oldValue && oldValue !== newValue && oldValue.location === "gpu-buffer") { oldValue.dispose(); } this[key] = newValue; } } /** * Dispose all contained tensors whose data resides on the GPU. * Returns a promise that resolves when all disposals are complete. * @returns {Promise} Promise that resolves when all GPU tensors are disposed. */ async dispose() { const promises = []; for ( const t of /** @type {Tensor[]} */ Object.values(this) ) { if (t.location === "gpu-buffer") { promises.push(t.dispose()); } } await Promise.all(promises); } }; var DynamicCache = ( /** @type {new (entries?: Record) => DynamicCache} */ /** @type {unknown} */ _DynamicCache ); var MODEL_TYPES = { EncoderOnly: 0, EncoderDecoder: 1, Seq2Seq: 2, Vision2Seq: 3, DecoderOnly: 4, DecoderOnlyWithoutHead: 5, MaskGeneration: 6, ImageTextToText: 7, Musicgen: 8, MultiModality: 9, Phi3V: 10, AudioTextToText: 11, AutoEncoder: 12, ImageAudioTextToText: 13, Supertonic: 14, Chatterbox: 15, VoxtralRealtime: 16 }; var MODEL_SESSION_CONFIG = { [MODEL_TYPES.DecoderOnly]: { sessions: (config, options) => ({ model: options.model_file_name ?? "model" }), cache_sessions: { model: true }, optional_configs: { generation_config: "generation_config.json" } }, [MODEL_TYPES.DecoderOnlyWithoutHead]: { sessions: (config, options) => ({ model: options.model_file_name ?? "model" }) }, [MODEL_TYPES.Seq2Seq]: { sessions: () => ({ model: "encoder_model", decoder_model_merged: "decoder_model_merged" }), cache_sessions: { decoder_model_merged: true }, optional_configs: { generation_config: "generation_config.json" } }, [MODEL_TYPES.Vision2Seq]: { sessions: () => ({ model: "encoder_model", decoder_model_merged: "decoder_model_merged" }), cache_sessions: { decoder_model_merged: true }, optional_configs: { generation_config: "generation_config.json" } }, [MODEL_TYPES.Musicgen]: { sessions: () => ({ model: "text_encoder", decoder_model_merged: "decoder_model_merged", encodec_decode: "encodec_decode" }), cache_sessions: { decoder_model_merged: true }, optional_configs: { generation_config: "generation_config.json" } }, [MODEL_TYPES.EncoderDecoder]: { sessions: () => ({ model: "encoder_model", decoder_model_merged: "decoder_model_merged" }), cache_sessions: { decoder_model_merged: true } }, [MODEL_TYPES.MaskGeneration]: { sessions: () => ({ model: "vision_encoder", prompt_encoder_mask_decoder: "prompt_encoder_mask_decoder" }) }, [MODEL_TYPES.ImageTextToText]: { text_only_sessions: { embed_tokens: "embed_tokens", decoder_model_merged: "decoder_model_merged" }, sessions: (config, options, textOnly) => { const s = { ...MODEL_SESSION_CONFIG[MODEL_TYPES.ImageTextToText].text_only_sessions }; if (!textOnly) s["vision_encoder"] = "vision_encoder"; if (config.is_encoder_decoder) s["model"] = "encoder_model"; return s; }, cache_sessions: { decoder_model_merged: true }, optional_configs: { generation_config: "generation_config.json" } }, [MODEL_TYPES.AudioTextToText]: { text_only_sessions: { embed_tokens: "embed_tokens", decoder_model_merged: "decoder_model_merged" }, sessions: (config, options, textOnly) => { const s = { ...MODEL_SESSION_CONFIG[MODEL_TYPES.AudioTextToText].text_only_sessions }; if (!textOnly) s["audio_encoder"] = "audio_encoder"; return s; }, cache_sessions: { decoder_model_merged: true }, optional_configs: { generation_config: "generation_config.json" } }, [MODEL_TYPES.ImageAudioTextToText]: { text_only_sessions: { embed_tokens: "embed_tokens", decoder_model_merged: "decoder_model_merged" }, sessions: (config, options, textOnly) => { const s = { ...MODEL_SESSION_CONFIG[MODEL_TYPES.ImageAudioTextToText].text_only_sessions }; if (!textOnly) { s["audio_encoder"] = "audio_encoder"; s["vision_encoder"] = "vision_encoder"; } return s; }, optional_configs: { generation_config: "generation_config.json" } }, [MODEL_TYPES.Phi3V]: { sessions: () => ({ prepare_inputs_embeds: "prepare_inputs_embeds", model: "model", vision_encoder: "vision_encoder" }), cache_sessions: { model: true }, optional_configs: { generation_config: "generation_config.json" } }, [MODEL_TYPES.MultiModality]: { sessions: () => ({ prepare_inputs_embeds: "prepare_inputs_embeds", model: "language_model", lm_head: "lm_head", gen_head: "gen_head", gen_img_embeds: "gen_img_embeds", image_decode: "image_decode" }), cache_sessions: { model: true }, optional_configs: { generation_config: "generation_config.json" } }, [MODEL_TYPES.AutoEncoder]: { sessions: () => ({ encoder_model: "encoder_model", decoder_model: "decoder_model" }) }, [MODEL_TYPES.Supertonic]: { sessions: () => ({ text_encoder: "text_encoder", latent_denoiser: "latent_denoiser", voice_decoder: "voice_decoder" }) }, [MODEL_TYPES.Chatterbox]: { sessions: () => ({ embed_tokens: "embed_tokens", speech_encoder: "speech_encoder", model: "language_model", conditional_decoder: "conditional_decoder" }), cache_sessions: { model: true }, optional_configs: { generation_config: "generation_config.json" } }, [MODEL_TYPES.VoxtralRealtime]: { text_only_sessions: { embed_tokens: "embed_tokens", decoder_model_merged: "decoder_model_merged" }, sessions: (config, options, textOnly) => { const s = { ...MODEL_SESSION_CONFIG[MODEL_TYPES.VoxtralRealtime].text_only_sessions }; if (!textOnly) s["audio_encoder"] = "audio_encoder"; return s; }, cache_sessions: { decoder_model_merged: true, audio_encoder: true }, optional_configs: { generation_config: "generation_config.json" } }, default: { sessions: (config, options) => ({ model: options.model_file_name ?? "model" }) } }; function getTextOnlySessions(modelType) { const typeConfig = MODEL_SESSION_CONFIG[modelType]; return typeConfig?.text_only_sessions ?? null; } function getSessionsConfig(modelType, config, options = {}) { const typeConfig = MODEL_SESSION_CONFIG[modelType] ?? MODEL_SESSION_CONFIG.default; return { sessions: typeConfig.sessions(config, options, options.textOnly ?? false), cache_sessions: typeConfig.cache_sessions, optional_configs: typeConfig.optional_configs }; } function resolve_model_type(config, { warn = true } = {}) { const architectures = ( /** @type {string[]} */ config.architectures || [] ); for (const arch of architectures) { const mappedType = MODEL_TYPE_MAPPING.get(arch); if (mappedType !== void 0) { return mappedType; } } if (config.model_type) { const mappedType = MODEL_TYPE_MAPPING.get(config.model_type); if (mappedType !== void 0) { return mappedType; } for (const mapping of Object.values(MODEL_MAPPING_NAMES)) { if (mapping.has(config.model_type)) { const resolved = MODEL_TYPE_MAPPING.get(mapping.get(config.model_type)); if (resolved !== void 0) { return resolved; } } } } if (warn) { const archList = architectures.length > 0 ? architectures.join(", ") : "(none)"; logger.warn( `[resolve_model_type] Architecture(s) not found in MODEL_TYPE_MAPPING: [${archList}] for model type '${config.model_type}'. Falling back to EncoderOnly (single model.onnx file). If you encounter issues, please report at: ${GITHUB_ISSUE_URL}` ); } return MODEL_TYPES.EncoderOnly; } function get_config(modelId, { config = null, cache_dir = null, local_files_only = false, revision = "main" } = {}) { if (config !== null) { return AutoConfig.from_pretrained(modelId, { config, cache_dir, local_files_only, revision }); } const key = JSON.stringify([modelId, cache_dir, local_files_only, revision]); return memoizePromise( key, () => AutoConfig.from_pretrained(modelId, { config, cache_dir, local_files_only, revision }) ); } async function get_model_files(modelId, { config = null, dtype: overrideDtype = null, device: overrideDevice = null, model_file_name = null } = {}) { config = await get_config(modelId, { config }); const files = [ // Add config.json (always loaded) "config.json" ]; const custom_config = config["transformers.js_config"] ?? {}; const use_external_data_format = custom_config.use_external_data_format; const subfolder = "onnx"; const rawDevice = overrideDevice ?? custom_config.device; let dtype = overrideDtype ?? custom_config.dtype; const modelType = resolve_model_type(config); const add_model_file = (fileName, baseName = null) => { baseName = baseName ?? fileName; const selectedDevice = selectDevice(rawDevice, fileName); const selectedDtype = selectDtype(dtype, fileName, selectedDevice); const suffix = DEFAULT_DTYPE_SUFFIX_MAPPING[selectedDtype] ?? ""; const fullName = `${baseName}${suffix}.onnx`; const fullPath = subfolder ? `${subfolder}/${fullName}` : fullName; files.push(fullPath); const num_chunks = resolveExternalDataFormat(use_external_data_format, fullName, fileName); for (const dataFileName of getExternalDataChunkNames(fullName, num_chunks)) { const dataFilePath = subfolder ? `${subfolder}/${dataFileName}` : dataFileName; files.push(dataFilePath); } }; const { sessions, optional_configs } = getSessionsConfig(modelType, config, { model_file_name }); for (const [sessionKey, baseName] of Object.entries(sessions)) { add_model_file(sessionKey, baseName); } if (optional_configs) { for (const configFile of Object.values(optional_configs)) { files.push(configFile); } } return files; } var MODEL_MAPPING_NAMES = null; function registerTaskMappings(mappings) { MODEL_MAPPING_NAMES = mappings; } function toI64Tensor(items) { if (items instanceof Tensor2) { return items; } if (items.length === 0) { throw Error("items must be non-empty"); } if (Array.isArray(items[0])) { if (items.some((x) => x.length !== items[0].length)) { 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." ); } return new Tensor2("int64", BigInt64Array.from(items.flat().map((x) => BigInt(x))), [ items.length, items[0].length ]); } else { return new Tensor2("int64", BigInt64Array.from(items.map((x) => BigInt(x))), [1, items.length]); } } function boolTensor(value) { return new Tensor2("bool", [value], [1]); } var MODEL_RUNTIME_CONFIG = { [MODEL_TYPES.DecoderOnly]: { can_generate: true, forward: decoder_forward, prepare_inputs: decoder_prepare_inputs_for_generation }, [MODEL_TYPES.DecoderOnlyWithoutHead]: { can_generate: false, forward: decoder_forward, prepare_inputs: decoder_prepare_inputs_for_generation }, [MODEL_TYPES.Seq2Seq]: { can_generate: true, forward: seq2seq_forward, prepare_inputs: encoder_decoder_prepare_inputs_for_generation }, [MODEL_TYPES.Vision2Seq]: { can_generate: true, forward: seq2seq_forward, prepare_inputs: encoder_decoder_prepare_inputs_for_generation }, [MODEL_TYPES.Musicgen]: { can_generate: true, forward: seq2seq_forward }, [MODEL_TYPES.EncoderDecoder]: { can_generate: false, forward: seq2seq_forward }, [MODEL_TYPES.ImageTextToText]: { can_generate: true, forward: image_text_to_text_forward, prepare_inputs: multimodal_text_to_text_prepare_inputs_for_generation }, [MODEL_TYPES.AudioTextToText]: { can_generate: true, forward: audio_text_to_text_forward, prepare_inputs: multimodal_text_to_text_prepare_inputs_for_generation }, [MODEL_TYPES.ImageAudioTextToText]: { can_generate: true, prepare_inputs: multimodal_text_to_text_prepare_inputs_for_generation }, [MODEL_TYPES.Phi3V]: { can_generate: true, prepare_inputs: multimodal_text_to_text_prepare_inputs_for_generation }, [MODEL_TYPES.MultiModality]: { can_generate: true }, [MODEL_TYPES.AutoEncoder]: { can_generate: false, forward: auto_encoder_forward }, [MODEL_TYPES.Chatterbox]: { can_generate: true, forward: encoder_forward }, [MODEL_TYPES.VoxtralRealtime]: { can_generate: true, prepare_inputs: decoder_prepare_inputs_for_generation }, default: { can_generate: false, forward: encoder_forward } }; function resolveTypeConfig(modelName, config) { let modelType = MODEL_TYPE_MAPPING.get(modelName); let textOnly = false; const nativeArch = config?.architectures?.[0]; if (nativeArch && nativeArch !== modelName && modelName?.endsWith("ForCausalLM") && nativeArch.endsWith("ForConditionalGeneration")) { const nativeType = MODEL_TYPE_MAPPING.get(nativeArch); if (nativeType !== void 0) { modelType = nativeType; textOnly = true; } } const runtimeConfig = MODEL_RUNTIME_CONFIG[modelType] ?? MODEL_RUNTIME_CONFIG.default; const sessionConfig = MODEL_SESSION_CONFIG[modelType] ?? MODEL_SESSION_CONFIG.default; return { typeConfig: { ...runtimeConfig, ...sessionConfig }, textOnly, modelType }; } var MODEL_TYPE_MAPPING = /* @__PURE__ */ new Map(); var MODEL_NAME_TO_CLASS_MAPPING = /* @__PURE__ */ new Map(); var MODEL_CLASS_TO_NAME_MAPPING = /* @__PURE__ */ new Map(); var PreTrainedModel = class extends Callable { main_input_name = "input_ids"; forward_params = ["input_ids", "attention_mask"]; _return_dict_in_generate_keys = null; /** * Creates a new instance of the `PreTrainedModel` class. * @param {import('../configs.js').PretrainedConfig} config The model configuration. * @param {Record} sessions The inference sessions for the model. * @param {Record} configs Additional configuration files (e.g., generation_config.json). */ constructor(config, sessions, configs) { super(); this.config = config; this.sessions = sessions; this.configs = configs; const modelName = MODEL_CLASS_TO_NAME_MAPPING.get(this.constructor); const { typeConfig } = resolveTypeConfig(modelName, config); this.can_generate = typeConfig.can_generate; this._forward = typeConfig.forward; this._prepare_inputs_for_generation = typeConfig.prepare_inputs; if (this.can_generate) { this.forward_params.push("past_key_values"); } this.custom_config = this.config["transformers.js_config"] ?? {}; } /** * Disposes of all the ONNX sessions that were created during inference. * @returns {Promise} An array of promises, one for each ONNX session that is being disposed. * @todo Use https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/FinalizationRegistry */ async dispose() { const promises = []; for (const session of Object.values(this.sessions)) { promises.push(session.release?.()); } return await Promise.all(promises); } /** * Instantiate one of the model classes of the library from a pretrained model. * * The model class to instantiate is selected based on the `model_type` property of the config object * (either passed as an argument or loaded from `pretrained_model_name_or_path` if possible) * * @param {string} pretrained_model_name_or_path The name or path of the pretrained model. Can be either: * - A string, the *model id* of a pretrained model hosted inside a model repo on huggingface.co. * Valid model ids can be located at the root-level, like `bert-base-uncased`, or namespaced under a * user or organization name, like `dbmdz/bert-base-german-cased`. * - A path to a *directory* containing model weights, e.g., `./my_model_directory/`. * @param {import('../utils/hub.js').PretrainedModelOptions} options Additional options for loading the model. * * @returns {Promise} A new instance of the `PreTrainedModel` class. */ static async from_pretrained(pretrained_model_name_or_path, { progress_callback = null, config = null, cache_dir = null, local_files_only = false, revision = "main", model_file_name = null, subfolder = "onnx", device = null, dtype = null, use_external_data_format = null, session_options = {} } = {}) { const options = { progress_callback, config, cache_dir, local_files_only, revision, model_file_name, subfolder, device, dtype, use_external_data_format, session_options }; const modelName = MODEL_CLASS_TO_NAME_MAPPING.get(this); config = options.config = await AutoConfig.from_pretrained(pretrained_model_name_or_path, options); const { typeConfig, textOnly, modelType } = resolveTypeConfig(modelName, config); if (modelType === void 0) { const type = modelName ?? config?.model_type; if (type !== "custom") { logger.warn( `Model type for '${type}' not found, assuming encoder-only architecture. Please report this at ${GITHUB_ISSUE_URL}.` ); } } if (progress_callback && !(progress_callback instanceof DefaultProgressCallback)) { const files_loading = {}; try { const expected_files = await get_model_files(pretrained_model_name_or_path, { config, dtype, device, model_file_name }); const metadata = await Promise.all( expected_files.map((file) => get_file_metadata(pretrained_model_name_or_path, file, options)) ); metadata.forEach((m, i) => { if (m.exists) { const isAlreadyLoaded = expected_files[i] === "config.json"; files_loading[expected_files[i]] = { loaded: isAlreadyLoaded ? m.size ?? 0 : 0, total: m.size ?? 0 }; } }); } catch (e) { logger.warn(`Unable to fetch model file metadata for total progress tracking: ${e}`); } if (Object.keys(files_loading).length > 0) { options.progress_callback = new DefaultProgressCallback(progress_callback, files_loading); } } const sessions = typeConfig.sessions(config, options, textOnly); const promises = [ constructSessions(pretrained_model_name_or_path, sessions, options, typeConfig.cache_sessions) ]; if (typeConfig.optional_configs) { promises.push(get_optional_configs(pretrained_model_name_or_path, typeConfig.optional_configs, options)); } const info = await Promise.all(promises); return new this(config, ...info); } /** * Runs the model with the provided inputs * @param {Object} model_inputs Object containing input tensors * @returns {Promise} Object containing output tensors */ async _call(model_inputs) { return await this.forward(model_inputs); } /** * Forward method for a pretrained model. If not overridden by a subclass, the correct forward method * will be chosen based on the model type. * @param {Object} model_inputs The input data to the model in the format specified in the ONNX model. * @returns {Promise} The output data from the model in the format specified in the ONNX model. * @throws {Error} This method must be implemented in subclasses. */ async forward(model_inputs) { return await this._forward(this, model_inputs); } /** * Get the model's generation config, if it exists. * @returns {GenerationConfig|null} The model's generation config if it exists, otherwise `null`. */ get generation_config() { return this.configs?.generation_config ?? null; } /** * @param {GenerationConfig} generation_config * @param {number} input_ids_seq_length The starting sequence length for the input ids. * @returns {LogitsProcessorList} * @private */ _get_logits_processor(generation_config, input_ids_seq_length, logits_processor = null) { const processors = new LogitsProcessorList(); if (generation_config.repetition_penalty !== null && generation_config.repetition_penalty !== 1) { processors.push(new RepetitionPenaltyLogitsProcessor(generation_config.repetition_penalty)); } if (generation_config.no_repeat_ngram_size !== null && generation_config.no_repeat_ngram_size > 0) { processors.push(new NoRepeatNGramLogitsProcessor(generation_config.no_repeat_ngram_size)); } if (generation_config.bad_words_ids !== null) { processors.push( new NoBadWordsLogitsProcessor(generation_config.bad_words_ids, generation_config.eos_token_id) ); } if (generation_config.min_length !== null && generation_config.eos_token_id !== null && generation_config.min_length > 0) { processors.push(new MinLengthLogitsProcessor(generation_config.min_length, generation_config.eos_token_id)); } if (generation_config.min_new_tokens !== null && generation_config.eos_token_id !== null && generation_config.min_new_tokens > 0) { processors.push( new MinNewTokensLengthLogitsProcessor( input_ids_seq_length, generation_config.min_new_tokens, generation_config.eos_token_id ) ); } if (generation_config.forced_bos_token_id !== null) { processors.push(new ForcedBOSTokenLogitsProcessor(generation_config.forced_bos_token_id)); } if (generation_config.forced_eos_token_id !== null) { processors.push( new ForcedEOSTokenLogitsProcessor(generation_config.max_length, generation_config.forced_eos_token_id) ); } if (generation_config.suppress_tokens !== null) { processors.push(new SuppressTokensLogitsProcessor(generation_config.suppress_tokens)); } if (generation_config.begin_suppress_tokens !== null) { const begin_index = input_ids_seq_length > 1 || generation_config.forced_bos_token_id === null ? input_ids_seq_length : input_ids_seq_length + 1; processors.push( new SuppressTokensAtBeginLogitsProcessor(generation_config.begin_suppress_tokens, begin_index) ); } if (generation_config.guidance_scale !== null && generation_config.guidance_scale > 1) { processors.push(new ClassifierFreeGuidanceLogitsProcessor(generation_config.guidance_scale)); } if (generation_config.temperature === 0 && generation_config.do_sample) { logger.warn( "`do_sample` changed to false because `temperature: 0` implies greedy sampling (always selecting the most likely token), which is incompatible with `do_sample: true`." ); generation_config.do_sample = false; } if (generation_config.do_sample) { if (generation_config.temperature !== null && generation_config.temperature !== 1) { processors.push(new TemperatureLogitsWarper(generation_config.temperature)); } } if (logits_processor !== null) { processors.extend(logits_processor); } return processors; } /** * This function merges multiple generation configs together to form a final generation config to be used by the model for text generation. * 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. * @param {GenerationConfig|null} generation_config A `GenerationConfig` object containing generation parameters. * @param {Object} kwargs Additional generation parameters to be used in place of those in the `generation_config` object. * @returns {GenerationConfig} The final generation config object to be used by the model for text generation. */ _prepare_generation_config(generation_config, kwargs, cls = GenerationConfig) { const config = { ...this.config }; for (const key of ["decoder", "generator", "text_config"]) { if (key in config) { Object.assign(config, config[key]); } } const gen_config = new cls(config); Object.assign(gen_config, this.generation_config ?? {}); if (generation_config) { Object.assign(gen_config, generation_config); } if (kwargs) { Object.assign(gen_config, pick(kwargs, Object.getOwnPropertyNames(gen_config))); } return gen_config; } /** * * @param {GenerationConfig} generation_config * @param {import('../generation/stopping_criteria.js').StoppingCriteria|import('../generation/stopping_criteria.js').StoppingCriteria[]|StoppingCriteriaList} [stopping_criteria=null] */ _get_stopping_criteria(generation_config, stopping_criteria = null) { const criteria = new StoppingCriteriaList(); if (generation_config.max_length !== null) { criteria.push( new MaxLengthCriteria(generation_config.max_length, this.config.max_position_embeddings ?? null) ); } if (generation_config.eos_token_id !== null) { criteria.push(new EosTokenCriteria(generation_config.eos_token_id)); } if (stopping_criteria) { criteria.extend(stopping_criteria); } return criteria; } /** * Confirms that the model class is compatible with generation. * If not, raises an exception that points to the right class to use. */ _validate_model_class() { if (!this.can_generate) { const generate_compatible_mappings = [ MODEL_MAPPING_NAMES.MODEL_FOR_CAUSAL_LM_MAPPING_NAMES, // MODEL_MAPPING_NAMES.MODEL_FOR_CAUSAL_IMAGE_MODELING_MAPPING, // TODO MODEL_MAPPING_NAMES.MODEL_FOR_VISION_2_SEQ_MAPPING_NAMES, MODEL_MAPPING_NAMES.MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING_NAMES, MODEL_MAPPING_NAMES.MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING_NAMES ].filter(Boolean); const modelName = MODEL_CLASS_TO_NAME_MAPPING.get(this.constructor); const generate_compatible_classes = /* @__PURE__ */ new Set(); const modelType = this.config.model_type; for (const model_mapping of generate_compatible_mappings) { const supported_models = model_mapping?.get(modelType); if (supported_models) { generate_compatible_classes.add(supported_models); } } let errorMessage = `The current model class (${modelName}) is not compatible with \`.generate()\`, as it doesn't have a language model head.`; if (generate_compatible_classes.size > 0) { errorMessage += ` Please use the following class instead: ${[...generate_compatible_classes].join(", ")}`; } throw Error(errorMessage); } } prepare_inputs_for_generation(...args2) { if (!this._prepare_inputs_for_generation) { throw new Error("prepare_inputs_for_generation is not implemented for this model."); } return this._prepare_inputs_for_generation(this, ...args2); } /** * * @param {Object} inputs * @param {bigint[][]} inputs.generated_input_ids * @param {Object} inputs.outputs * @param {Object} inputs.model_inputs * @param {boolean} inputs.is_encoder_decoder * @returns {Object} The updated model inputs for the next generation iteration. */ _update_model_kwargs_for_generation({ generated_input_ids, outputs, model_inputs, is_encoder_decoder }) { model_inputs["past_key_values"] = getPastKeyValues(outputs, model_inputs.past_key_values); model_inputs["input_ids"] = new Tensor2("int64", generated_input_ids.flat(), [generated_input_ids.length, 1]); if (!is_encoder_decoder) { model_inputs.attention_mask = cat( [model_inputs.attention_mask, ones([model_inputs.attention_mask.dims[0], 1])], 1 ); } else if ("decoder_attention_mask" in model_inputs) { model_inputs.decoder_attention_mask = cat( [model_inputs.decoder_attention_mask, ones([model_inputs.decoder_attention_mask.dims[0], 1])], 1 ); } model_inputs["position_ids"] = null; return model_inputs; } /** * This function extracts the model-specific `inputs` for generation. * @param {Object} params * @param {Tensor} [params.inputs=null] * @param {number} [params.bos_token_id=null] * @param {Record} [params.model_kwargs] * @returns {{inputs_tensor: Tensor, model_inputs: Record & {past_key_values?: DynamicCache}, model_input_name: string}} The model-specific inputs for generation. */ _prepare_model_inputs({ inputs, bos_token_id, model_kwargs }) { const model_inputs = pick(model_kwargs, this.forward_params); const input_name = this.main_input_name; if (input_name in model_inputs) { if (inputs) { throw new Error( "`inputs`: {inputs}` were passed alongside {input_name} which is not allowed. Make sure to either pass {inputs} or {input_name}=..." ); } } else { model_inputs[input_name] = inputs; } const inputs_tensor = model_inputs[input_name]; return { inputs_tensor, model_inputs, model_input_name: input_name }; } async _prepare_encoder_decoder_kwargs_for_generation({ inputs_tensor, model_inputs, model_input_name, generation_config }) { if (this.sessions["model"].inputNames.includes("inputs_embeds") && !model_inputs.inputs_embeds && "_prepare_inputs_embeds" in this) { const { input_ids, pixel_values, attention_mask, ...kwargs } = model_inputs; const prepared_inputs = await this._prepare_inputs_embeds(model_inputs); model_inputs = { ...kwargs, ...pick(prepared_inputs, ["inputs_embeds", "attention_mask"]) }; } let { last_hidden_state } = await encoder_forward(this, model_inputs); if (generation_config.guidance_scale !== null && generation_config.guidance_scale > 1) { last_hidden_state = cat([last_hidden_state, full_like(last_hidden_state, 0)], 0); if ("attention_mask" in model_inputs) { model_inputs["attention_mask"] = cat( [model_inputs["attention_mask"], zeros_like(model_inputs["attention_mask"])], 0 ); } } else if (model_inputs.decoder_input_ids) { const decoder_input_ids_batch_size = toI64Tensor(model_inputs.decoder_input_ids).dims[0]; if (decoder_input_ids_batch_size !== last_hidden_state.dims[0]) { if (last_hidden_state.dims[0] !== 1) { throw new Error( `The encoder outputs have a different batch size (${last_hidden_state.dims[0]}) than the decoder inputs (${decoder_input_ids_batch_size}).` ); } last_hidden_state = cat( Array.from({ length: decoder_input_ids_batch_size }, () => last_hidden_state), 0 ); } } model_inputs["encoder_outputs"] = last_hidden_state; return model_inputs; } /** * Prepares `decoder_input_ids` for generation with encoder-decoder models * @param {*} param0 */ _prepare_decoder_input_ids_for_generation({ batch_size, model_input_name, model_kwargs, decoder_start_token_id, bos_token_id, generation_config }) { let { decoder_input_ids, ...model_inputs } = model_kwargs; if (!(decoder_input_ids instanceof Tensor2)) { if (!decoder_input_ids) { decoder_start_token_id ??= bos_token_id; if (this.config.model_type === "musicgen") { decoder_input_ids = Array.from( { // @ts-expect-error TS2339 length: batch_size * this.config.decoder.num_codebooks }, () => [decoder_start_token_id] ); } else if (Array.isArray(decoder_start_token_id)) { if (decoder_start_token_id.length !== batch_size) { throw new Error( `\`decoder_start_token_id\` expcted to have length ${batch_size} but got ${decoder_start_token_id.length}` ); } decoder_input_ids = decoder_start_token_id; } else { decoder_input_ids = Array.from( { length: batch_size }, () => [decoder_start_token_id] ); } } else if (!Array.isArray(decoder_input_ids[0])) { decoder_input_ids = Array.from( { length: batch_size }, () => decoder_input_ids ); } decoder_input_ids = toI64Tensor(decoder_input_ids); } model_inputs["decoder_attention_mask"] = ones_like(decoder_input_ids); return { input_ids: decoder_input_ids, model_inputs }; } /** * Generates sequences of token ids for models with a language modeling head. * @param {import('../generation/parameters.js').GenerationFunctionParameters} options * @returns {Promise} The output of the model, which can contain the generated token ids, attentions, and scores. */ async generate({ inputs = null, generation_config = null, logits_processor = null, stopping_criteria = null, streamer = null, // inputs_attention_mask = null, ...kwargs }) { this._validate_model_class(); generation_config = this._prepare_generation_config(generation_config, kwargs); let { inputs_tensor, model_inputs, model_input_name } = this._prepare_model_inputs({ inputs, model_kwargs: ( /** @type {Record} */ kwargs ) }); const is_encoder_decoder = this.config.is_encoder_decoder; if (!is_encoder_decoder) { } else if (!("encoder_outputs" in model_inputs)) { model_inputs = await this._prepare_encoder_decoder_kwargs_for_generation({ inputs_tensor, model_inputs, model_input_name, generation_config }); } let input_ids; if (is_encoder_decoder) { ({ input_ids, model_inputs } = this._prepare_decoder_input_ids_for_generation({ batch_size: model_inputs[model_input_name].dims.at(0), model_input_name, model_kwargs: model_inputs, decoder_start_token_id: generation_config.decoder_start_token_id, bos_token_id: generation_config.bos_token_id, generation_config })); } else { input_ids = model_inputs[model_input_name]; } let input_ids_length = input_ids.dims.at(-1); if (generation_config.max_new_tokens !== null) { generation_config.max_length = input_ids_length + generation_config.max_new_tokens; } const prepared_logits_processor = this._get_logits_processor( generation_config, input_ids_length, logits_processor ); const prepared_stopping_criteria = this._get_stopping_criteria(generation_config, stopping_criteria); const numInputs = model_inputs[model_input_name].dims.at(0); const sampler = LogitsSampler.getSampler(generation_config); const scores = new Array(numInputs).fill(0); const all_input_ids = input_ids.tolist(); if (streamer) { streamer.put(all_input_ids); } let outputs; let attentions = {}; let return_dict_items = {}; while (true) { model_inputs = this.prepare_inputs_for_generation(all_input_ids, model_inputs, generation_config); outputs = await this.forward(model_inputs); if (generation_config.return_dict_in_generate) { if (generation_config.output_attentions) { const token_attentions = getAttentions(outputs); for (const key in token_attentions) { if (!(key in attentions)) { attentions[key] = []; } attentions[key].push(token_attentions[key]); } } else if (this._return_dict_in_generate_keys) { Object.assign(return_dict_items, pick(outputs, this._return_dict_in_generate_keys)); } } const logits = outputs.logits.slice(null, -1, null).to("float32"); const next_tokens_scores = prepared_logits_processor(all_input_ids, logits); const generated_input_ids = []; for (let batch_idx = 0; batch_idx < next_tokens_scores.dims.at(0); ++batch_idx) { const logs = next_tokens_scores[batch_idx]; const sampledTokens = await sampler(logs); for (const [newTokenId, logProb] of sampledTokens) { const bigint = BigInt(newTokenId); scores[batch_idx] += logProb; all_input_ids[batch_idx].push(bigint); generated_input_ids.push([bigint]); break; } } if (streamer) { streamer.put(generated_input_ids); } const stop = prepared_stopping_criteria(all_input_ids); if (stop.every((x) => x)) { break; } model_inputs = this._update_model_kwargs_for_generation({ generated_input_ids, outputs, model_inputs, is_encoder_decoder }); } if (streamer) { streamer.end(); } const sequences = new Tensor2("int64", all_input_ids.flat(), [all_input_ids.length, all_input_ids[0].length]); const past_key_values = getPastKeyValues(outputs, model_inputs.past_key_values); const cachedTensors = new Set(Object.values(past_key_values)); for (const tensor of Object.values(outputs)) { if (tensor.location === "gpu-buffer" && !cachedTensors.has(tensor)) { tensor.dispose(); } } const keepCacheAlive = "past_key_values" in kwargs || generation_config.return_dict_in_generate; if (!keepCacheAlive) { await past_key_values.dispose(); } if (generation_config.return_dict_in_generate) { return { sequences, past_key_values, ...attentions, ...return_dict_items // TODO: // scores, // logits, }; } return sequences; } /** * Helper function to select valid inputs and run through the appropriate encoder (vision, text, audio) based on the input type. * @param {string} sessionName * @param {Record} inputs * @param {string} outputName * @private */ async _encode_input(sessionName, inputs, outputName) { if (!Object.hasOwn(this.sessions, sessionName)) { throw new Error(`Model does not have a ${sessionName} session.`); } const session = this.sessions[sessionName]; const output = await sessionRun(session, pick(inputs, session.inputNames)); return output[outputName]; } async encode_image(inputs) { return this._encode_input("vision_encoder", inputs, "image_features"); } async encode_text(inputs) { return this._encode_input("embed_tokens", inputs, "inputs_embeds"); } async encode_audio(inputs) { return this._encode_input("audio_encoder", inputs, "audio_features"); } }; async function seq2seq_forward(self2, model_inputs) { let { encoder_outputs, input_ids, decoder_input_ids, decoder_attention_mask, ...other_decoder_inputs } = model_inputs; if (!encoder_outputs) { const encoder_inputs = pick(model_inputs, self2.sessions["model"].inputNames); encoder_outputs = (await encoder_forward(self2, encoder_inputs)).last_hidden_state; } other_decoder_inputs.input_ids = decoder_input_ids; other_decoder_inputs.encoder_hidden_states = encoder_outputs; if (self2.sessions["decoder_model_merged"].inputNames.includes("encoder_attention_mask")) { other_decoder_inputs.encoder_attention_mask = model_inputs.attention_mask; } if (decoder_attention_mask && !other_decoder_inputs.attention_mask) { other_decoder_inputs.attention_mask = decoder_attention_mask; } return await decoder_forward(self2, other_decoder_inputs, true); } async function encoder_forward(self2, model_inputs) { const session = self2.sessions["model"]; const encoderFeeds = pick(model_inputs, session.inputNames); if (session.inputNames.includes("inputs_embeds") && !encoderFeeds.inputs_embeds) { if (!model_inputs.input_ids) { throw new Error("Both `input_ids` and `inputs_embeds` are missing in the model inputs."); } encoderFeeds.inputs_embeds = await self2.encode_text({ input_ids: model_inputs.input_ids }); } if (session.inputNames.includes("token_type_ids") && !encoderFeeds.token_type_ids) { if (!encoderFeeds.input_ids) { throw new Error("Both `input_ids` and `token_type_ids` are missing in the model inputs."); } encoderFeeds.token_type_ids = zeros_like(encoderFeeds.input_ids); } if (session.inputNames.includes("pixel_mask") && !encoderFeeds.pixel_mask) { if (!encoderFeeds.pixel_values) { throw new Error("Both `pixel_values` and `pixel_mask` are missing in the model inputs."); } const dims = encoderFeeds.pixel_values.dims; encoderFeeds.pixel_mask = ones([dims[0], dims[2], dims[3]]); } return await sessionRun(session, encoderFeeds); } async function auto_encoder_forward(self2, model_inputs) { const encoded = await self2.encode(model_inputs); const decoded = await self2.decode(encoded); return decoded; } function getPastKeyValues(decoderResults, pastKeyValues) { const pkvs = /* @__PURE__ */ Object.create(null); for (const name in decoderResults) { if (name.startsWith("present")) { const newName = name.replace("present_ssm", "past_ssm").replace("present_conv", "past_conv").replace("present_recurrent", "past_recurrent").replace("present", "past_key_values"); const is_encoder_pkv = name.includes("encoder"); if (is_encoder_pkv && pastKeyValues) { pkvs[newName] = pastKeyValues[newName]; } else { pkvs[newName] = decoderResults[name]; } } } if (pastKeyValues) { pastKeyValues.update(pkvs); return pastKeyValues; } return new DynamicCache(pkvs); } function getAttentions(model_output) { const attentions = {}; for (const attnName of ["cross_attentions", "encoder_attentions", "decoder_attentions"]) { for (const name in model_output) { if (name.startsWith(attnName)) { if (!(attnName in attentions)) { attentions[attnName] = []; } attentions[attnName].push(model_output[name]); } } } return attentions; } function resolveCacheShape(metadataShape, symbols) { return metadataShape.map((d) => { if (typeof d === "number") return d; return symbols[d] ?? 0; }); } function addPastKeyValues(self2, decoderFeeds, pastKeyValues) { if (pastKeyValues && Object.keys(pastKeyValues).length > 0) { Object.assign(decoderFeeds, pastKeyValues); return pastKeyValues; } const session = self2.sessions["decoder_model_merged"] ?? self2.sessions["model"]; const batch_size = (decoderFeeds[self2.main_input_name] ?? decoderFeeds.attention_mask)?.dims?.[0] ?? 1; const names = getCacheNames(self2.config); const num_heads = self2.config?.normalized_config?.num_heads; const symbols = { batch_size }; if (typeof num_heads === "number") { symbols["batch_size x num_heads"] = batch_size * num_heads; } const entries = /* @__PURE__ */ Object.create(null); for (const meta of session.inputMetadata) { if (!names.has(meta.name)) continue; const shape = resolveCacheShape(meta.shape, symbols); const size = shape.reduce((a, b) => a * b, 1); const cls = DataTypeMap[meta.type]; const t = new Tensor2(meta.type, new cls(size), shape); decoderFeeds[meta.name] = t; entries[meta.name] = t; } if (pastKeyValues) { pastKeyValues.update(entries); return pastKeyValues; } return new DynamicCache(entries); } async function decoder_forward(self2, model_inputs, is_encoder_decoder = false) { const session = self2.sessions[is_encoder_decoder ? "decoder_model_merged" : "model"]; const { past_key_values, ...new_model_inputs } = model_inputs; if (session.inputNames.includes("use_cache_branch")) { new_model_inputs.use_cache_branch = boolTensor( past_key_values != null && Object.keys(past_key_values).length > 0 ); } if (session.inputNames.includes("position_ids") && new_model_inputs.attention_mask && !new_model_inputs.position_ids) { const start_index = ["paligemma", "gemma3_text", "gemma3"].includes(self2.config.model_type) ? 1 : 0; new_model_inputs.position_ids = create_position_ids(new_model_inputs, past_key_values, start_index); } if (session.inputNames.includes("num_logits_to_keep") && !new_model_inputs.num_logits_to_keep) { new_model_inputs.num_logits_to_keep = new Tensor2("int64", [0n], []); } addPastKeyValues(self2, new_model_inputs, past_key_values); const fixed = pick(new_model_inputs, session.inputNames); return await sessionRun(session, fixed); } async function generic_text_to_text_forward(self2, { // Generic parameters: encode_function, merge_function, modality_input_names, modality_output_name, // Produced by the tokenizer/processor: input_ids = null, attention_mask = null, // Used during generation: position_ids = null, inputs_embeds = null, past_key_values = null, // Generic generation parameters generation_config = null, logits_processor = null, // Additional parameters ...kwargs }) { if (!inputs_embeds) { inputs_embeds = await self2.encode_text({ input_ids, ...kwargs }); const modality_values = pick(kwargs, modality_input_names); if (Object.keys(modality_values).length > 0) { if (input_ids.dims[1] !== 1) { const modality_features = await encode_function({ // Pass the modality values under its expected key. // The caller knows whether this is audio or image. ...modality_values, ...kwargs }); ({ inputs_embeds, attention_mask } = merge_function({ [modality_output_name]: modality_features, inputs_embeds, input_ids, attention_mask })); } else if (past_key_values && input_ids.dims[1] === 1) { const target_length = input_ids.dims[1]; const past_length = past_key_values.get_seq_length(); attention_mask = cat( [ ones([input_ids.dims[0], past_length]), attention_mask.slice(null, [attention_mask.dims[1] - target_length, attention_mask.dims[1]]) ], 1 ); } } } if (!position_ids) { if ( // Handle special case for qwen vl models [ "qwen2_vl", "qwen2_vl_text", "qwen2_5_vl", "qwen2_5_vl_text", "qwen3_vl", "qwen3_vl_text", "qwen3_vl_moe", "qwen3_vl_moe_text", "qwen3_5", "qwen3_5_text", "qwen3_5_moe", "qwen3_5_moe_text", "glm_ocr", "glm_ocr_text" ].includes(self2.config.model_type) ) { const { image_grid_thw, video_grid_thw } = kwargs; [position_ids] = self2.get_rope_index(input_ids, image_grid_thw, video_grid_thw, attention_mask); } } const outputs = await decoder_forward( self2, { inputs_embeds, past_key_values, attention_mask, position_ids, generation_config, logits_processor }, true ); return outputs; } async function audio_text_to_text_forward(self2, params) { return await generic_text_to_text_forward(self2, { ...params, modality_input_names: ["audio_values", "input_features"], modality_output_name: "audio_features", encode_function: self2.encode_audio.bind(self2), merge_function: self2._merge_input_ids_with_audio_features.bind(self2) }); } async function image_text_to_text_forward(self2, params) { return await generic_text_to_text_forward(self2, { ...params, modality_input_names: ["pixel_values"], modality_output_name: "image_features", encode_function: self2.encode_image.bind(self2), merge_function: self2._merge_input_ids_with_image_features.bind(self2) }); } function cumsum_masked_fill(attention_mask, start_index = 0) { const [bz, seq_len] = attention_mask.dims; const attn_mask_data = attention_mask.data; const data = new BigInt64Array(attn_mask_data.length); for (let i = 0; i < bz; ++i) { const start = i * seq_len; let sum = BigInt(start_index); for (let j = 0; j < seq_len; ++j) { const index = start + j; if (attn_mask_data[index] === 0n) { data[index] = BigInt(1); } else { data[index] = sum; sum += attn_mask_data[index]; } } } return { data, dims: attention_mask.dims }; } function create_position_ids(model_inputs, past_key_values = null, start_index = 0) { const { input_ids, inputs_embeds, attention_mask } = model_inputs; const { data, dims } = cumsum_masked_fill(attention_mask, start_index); let position_ids = new Tensor2("int64", data, dims); if (past_key_values) { const offset = -(input_ids ?? inputs_embeds).dims.at(1); position_ids = position_ids.slice(null, [offset, null]); } return position_ids; } function decoder_prepare_inputs_for_generation(self2, input_ids, model_inputs, generation_config) { const past_length = model_inputs.past_key_values ? model_inputs.past_key_values.get_seq_length() : 0; const session = self2.sessions["decoder_model_merged"] ?? self2.sessions["model"]; if (session?.inputNames.includes("num_logits_to_keep") && !model_inputs.num_logits_to_keep) { model_inputs.num_logits_to_keep = new Tensor2("int64", [1n], []); } if (!model_inputs.attention_mask) { let dims; for (const key of ["input_ids", "inputs_embeds", "position_ids"]) { if (model_inputs[key]) { dims = model_inputs[key].dims; break; } } if (!dims) { throw new Error("attention_mask is not provided, and unable to infer its shape from model inputs."); } model_inputs.attention_mask = ones([dims[0], past_length + dims[1]]); } if (model_inputs.past_key_values) { const { input_ids: input_ids2, attention_mask } = model_inputs; if (attention_mask && attention_mask.dims[1] > input_ids2.dims[1]) { } else if (past_length < input_ids2.dims[1]) { model_inputs.input_ids = input_ids2.slice(null, [past_length, null]); } else { } } return model_inputs; } function encoder_decoder_prepare_inputs_for_generation(self2, input_ids, model_inputs, generation_config) { if (model_inputs.past_key_values) { input_ids = input_ids.map((x) => [x.at(-1)]); } return { ...model_inputs, decoder_input_ids: toI64Tensor(input_ids) }; } function multimodal_text_to_text_prepare_inputs_for_generation(self2, ...args2) { if (self2.config.is_encoder_decoder) { return encoder_decoder_prepare_inputs_for_generation(self2, ...args2); } else { return decoder_prepare_inputs_for_generation(self2, ...args2); } } function default_merge_input_ids_with_features({ modality_token_id, inputs_embeds, modality_features, input_ids, attention_mask }) { const token_positions = input_ids.tolist().map( (ids) => ids.reduce((acc, x, idx) => { if (x == modality_token_id) acc.push(idx); return acc; }, []) ); const n_tokens = token_positions.reduce((acc, x) => acc + x.length, 0); const n_features = modality_features.dims[0]; if (n_tokens !== n_features) { throw new Error(`Number of tokens and features do not match: tokens: ${n_tokens}, features ${n_features}`); } let img = 0; for (let i = 0; i < token_positions.length; ++i) { const tokens = token_positions[i]; const embeds = inputs_embeds[i]; for (let j = 0; j < tokens.length; ++j) { embeds[tokens[j]].data.set(modality_features[img++].data); } } return { inputs_embeds, attention_mask }; } function default_merge_input_ids_with_image_features({ image_token_id, inputs_embeds, image_features, input_ids, attention_mask }) { return default_merge_input_ids_with_features({ modality_token_id: image_token_id, inputs_embeds, modality_features: image_features, input_ids, attention_mask }); } function default_merge_input_ids_with_audio_features({ audio_token_id, inputs_embeds, audio_features, input_ids, attention_mask }) { return default_merge_input_ids_with_features({ modality_token_id: audio_token_id, inputs_embeds, modality_features: audio_features, input_ids, attention_mask }); } async function get_optional_configs(pretrained_model_name_or_path, names, options) { return Object.fromEntries( await Promise.all( Object.keys(names).map(async (name) => { const config = await getModelJSON(pretrained_model_name_or_path, names[name], false, options); return [name, config]; }) ) ); } var models_exports = {}; __export3(models_exports, { ASTForAudioClassification: () => ASTForAudioClassification, ASTModel: () => ASTModel, ASTPreTrainedModel: () => ASTPreTrainedModel, AfmoeForCausalLM: () => AfmoeForCausalLM, AfmoeModel: () => AfmoeModel, AfmoePreTrainedModel: () => AfmoePreTrainedModel, AlbertForMaskedLM: () => AlbertForMaskedLM, AlbertForQuestionAnswering: () => AlbertForQuestionAnswering, AlbertForSequenceClassification: () => AlbertForSequenceClassification, AlbertModel: () => AlbertModel, AlbertPreTrainedModel: () => AlbertPreTrainedModel, ApertusForCausalLM: () => ApertusForCausalLM, ApertusModel: () => ApertusModel, ApertusPreTrainedModel: () => ApertusPreTrainedModel, ArceeForCausalLM: () => ArceeForCausalLM, ArceeModel: () => ArceeModel, ArceePreTrainedModel: () => ArceePreTrainedModel, BartForConditionalGeneration: () => BartForConditionalGeneration, BartForSequenceClassification: () => BartForSequenceClassification, BartModel: () => BartModel, BartPretrainedModel: () => BartPretrainedModel, BeitForImageClassification: () => BeitForImageClassification, BeitModel: () => BeitModel, BeitPreTrainedModel: () => BeitPreTrainedModel, BertForMaskedLM: () => BertForMaskedLM, BertForQuestionAnswering: () => BertForQuestionAnswering, BertForSequenceClassification: () => BertForSequenceClassification, BertForTokenClassification: () => BertForTokenClassification, BertModel: () => BertModel, BertPreTrainedModel: () => BertPreTrainedModel, BlenderbotForConditionalGeneration: () => BlenderbotForConditionalGeneration, BlenderbotModel: () => BlenderbotModel, BlenderbotPreTrainedModel: () => BlenderbotPreTrainedModel, BlenderbotSmallForConditionalGeneration: () => BlenderbotSmallForConditionalGeneration, BlenderbotSmallModel: () => BlenderbotSmallModel, BlenderbotSmallPreTrainedModel: () => BlenderbotSmallPreTrainedModel, BloomForCausalLM: () => BloomForCausalLM, BloomModel: () => BloomModel, BloomPreTrainedModel: () => BloomPreTrainedModel, CHMv2ForDepthEstimation: () => CHMv2ForDepthEstimation, CHMv2PreTrainedModel: () => CHMv2PreTrainedModel, CLIPModel: () => CLIPModel, CLIPPreTrainedModel: () => CLIPPreTrainedModel, CLIPSegForImageSegmentation: () => CLIPSegForImageSegmentation, CLIPSegModel: () => CLIPSegModel, CLIPSegPreTrainedModel: () => CLIPSegPreTrainedModel, CLIPTextModel: () => CLIPTextModel, CLIPTextModelWithProjection: () => CLIPTextModelWithProjection, CLIPVisionModel: () => CLIPVisionModel, CLIPVisionModelWithProjection: () => CLIPVisionModelWithProjection, CamembertForMaskedLM: () => CamembertForMaskedLM, CamembertForQuestionAnswering: () => CamembertForQuestionAnswering, CamembertForSequenceClassification: () => CamembertForSequenceClassification, CamembertForTokenClassification: () => CamembertForTokenClassification, CamembertModel: () => CamembertModel, CamembertPreTrainedModel: () => CamembertPreTrainedModel, ChatterboxModel: () => ChatterboxModel, ChatterboxPreTrainedModel: () => ChatterboxPreTrainedModel, ChineseCLIPModel: () => ChineseCLIPModel, ChineseCLIPPreTrainedModel: () => ChineseCLIPPreTrainedModel, ClapAudioModelWithProjection: () => ClapAudioModelWithProjection, ClapModel: () => ClapModel, ClapPreTrainedModel: () => ClapPreTrainedModel, ClapTextModelWithProjection: () => ClapTextModelWithProjection, CodeGenForCausalLM: () => CodeGenForCausalLM, CodeGenModel: () => CodeGenModel, CodeGenPreTrainedModel: () => CodeGenPreTrainedModel, Cohere2ForCausalLM: () => Cohere2ForCausalLM, Cohere2Model: () => Cohere2Model, Cohere2PreTrainedModel: () => Cohere2PreTrainedModel, CohereAsrForConditionalGeneration: () => CohereAsrForConditionalGeneration, CohereAsrModel: () => CohereAsrModel, CohereAsrPreTrainedModel: () => CohereAsrPreTrainedModel, CohereForCausalLM: () => CohereForCausalLM, CohereModel: () => CohereModel, CoherePreTrainedModel: () => CoherePreTrainedModel, ConvBertForMaskedLM: () => ConvBertForMaskedLM, ConvBertForQuestionAnswering: () => ConvBertForQuestionAnswering, ConvBertForSequenceClassification: () => ConvBertForSequenceClassification, ConvBertForTokenClassification: () => ConvBertForTokenClassification, ConvBertModel: () => ConvBertModel, ConvBertPreTrainedModel: () => ConvBertPreTrainedModel, ConvNextForImageClassification: () => ConvNextForImageClassification, ConvNextModel: () => ConvNextModel, ConvNextPreTrainedModel: () => ConvNextPreTrainedModel, ConvNextV2ForImageClassification: () => ConvNextV2ForImageClassification, ConvNextV2Model: () => ConvNextV2Model, ConvNextV2PreTrainedModel: () => ConvNextV2PreTrainedModel, DFineForObjectDetection: () => DFineForObjectDetection, DFineModel: () => DFineModel, DFinePreTrainedModel: () => DFinePreTrainedModel, DINOv3ConvNextModel: () => DINOv3ConvNextModel, DINOv3ConvNextPreTrainedModel: () => DINOv3ConvNextPreTrainedModel, DINOv3ViTModel: () => DINOv3ViTModel, DINOv3ViTPreTrainedModel: () => DINOv3ViTPreTrainedModel, DPTForDepthEstimation: () => DPTForDepthEstimation, DPTModel: () => DPTModel, DPTPreTrainedModel: () => DPTPreTrainedModel, DacDecoderModel: () => DacDecoderModel, DacDecoderOutput: () => DacDecoderOutput, DacEncoderModel: () => DacEncoderModel, DacEncoderOutput: () => DacEncoderOutput, DacModel: () => DacModel, DacPreTrainedModel: () => DacPreTrainedModel, DebertaForMaskedLM: () => DebertaForMaskedLM, DebertaForQuestionAnswering: () => DebertaForQuestionAnswering, DebertaForSequenceClassification: () => DebertaForSequenceClassification, DebertaForTokenClassification: () => DebertaForTokenClassification, DebertaModel: () => DebertaModel, DebertaPreTrainedModel: () => DebertaPreTrainedModel, DebertaV2ForMaskedLM: () => DebertaV2ForMaskedLM, DebertaV2ForQuestionAnswering: () => DebertaV2ForQuestionAnswering, DebertaV2ForSequenceClassification: () => DebertaV2ForSequenceClassification, DebertaV2ForTokenClassification: () => DebertaV2ForTokenClassification, DebertaV2Model: () => DebertaV2Model, DebertaV2PreTrainedModel: () => DebertaV2PreTrainedModel, DecisionTransformerModel: () => DecisionTransformerModel, DecisionTransformerPreTrainedModel: () => DecisionTransformerPreTrainedModel, DeepseekV3ForCausalLM: () => DeepseekV3ForCausalLM, DeepseekV3Model: () => DeepseekV3Model, DeepseekV3PreTrainedModel: () => DeepseekV3PreTrainedModel, DeiTForImageClassification: () => DeiTForImageClassification, DeiTModel: () => DeiTModel, DeiTPreTrainedModel: () => DeiTPreTrainedModel, DepthAnythingForDepthEstimation: () => DepthAnythingForDepthEstimation, DepthAnythingPreTrainedModel: () => DepthAnythingPreTrainedModel, DepthProForDepthEstimation: () => DepthProForDepthEstimation, DepthProPreTrainedModel: () => DepthProPreTrainedModel, DetrForObjectDetection: () => DetrForObjectDetection, DetrForSegmentation: () => DetrForSegmentation, DetrModel: () => DetrModel, DetrObjectDetectionOutput: () => DetrObjectDetectionOutput, DetrPreTrainedModel: () => DetrPreTrainedModel, DetrSegmentationOutput: () => DetrSegmentationOutput, Dinov2ForImageClassification: () => Dinov2ForImageClassification, Dinov2Model: () => Dinov2Model, Dinov2PreTrainedModel: () => Dinov2PreTrainedModel, Dinov2WithRegistersForImageClassification: () => Dinov2WithRegistersForImageClassification, Dinov2WithRegistersModel: () => Dinov2WithRegistersModel, Dinov2WithRegistersPreTrainedModel: () => Dinov2WithRegistersPreTrainedModel, DistilBertForMaskedLM: () => DistilBertForMaskedLM, DistilBertForQuestionAnswering: () => DistilBertForQuestionAnswering, DistilBertForSequenceClassification: () => DistilBertForSequenceClassification, DistilBertForTokenClassification: () => DistilBertForTokenClassification, DistilBertModel: () => DistilBertModel, DistilBertPreTrainedModel: () => DistilBertPreTrainedModel, DonutSwinModel: () => DonutSwinModel, DonutSwinPreTrainedModel: () => DonutSwinPreTrainedModel, EdgeTamModel: () => EdgeTamModel, EfficientNetForImageClassification: () => EfficientNetForImageClassification, EfficientNetModel: () => EfficientNetModel, EfficientNetPreTrainedModel: () => EfficientNetPreTrainedModel, ElectraForMaskedLM: () => ElectraForMaskedLM, ElectraForQuestionAnswering: () => ElectraForQuestionAnswering, ElectraForSequenceClassification: () => ElectraForSequenceClassification, ElectraForTokenClassification: () => ElectraForTokenClassification, ElectraModel: () => ElectraModel, ElectraPreTrainedModel: () => ElectraPreTrainedModel, Ernie4_5ForCausalLM: () => Ernie4_5ForCausalLM, Ernie4_5Model: () => Ernie4_5Model, Ernie4_5PretrainedModel: () => Ernie4_5PretrainedModel, EsmForMaskedLM: () => EsmForMaskedLM, EsmForSequenceClassification: () => EsmForSequenceClassification, EsmForTokenClassification: () => EsmForTokenClassification, EsmModel: () => EsmModel, EsmPreTrainedModel: () => EsmPreTrainedModel, EuroBertForMaskedLM: () => EuroBertForMaskedLM, EuroBertForSequenceClassification: () => EuroBertForSequenceClassification, EuroBertForTokenClassification: () => EuroBertForTokenClassification, EuroBertModel: () => EuroBertModel, EuroBertPreTrainedModel: () => EuroBertPreTrainedModel, ExaoneForCausalLM: () => ExaoneForCausalLM, ExaoneModel: () => ExaoneModel, ExaonePreTrainedModel: () => ExaonePreTrainedModel, FalconForCausalLM: () => FalconForCausalLM, FalconH1ForCausalLM: () => FalconH1ForCausalLM, FalconH1Model: () => FalconH1Model, FalconH1PreTrainedModel: () => FalconH1PreTrainedModel, FalconModel: () => FalconModel, FalconPreTrainedModel: () => FalconPreTrainedModel, FastViTForImageClassification: () => FastViTForImageClassification, FastViTModel: () => FastViTModel, FastViTPreTrainedModel: () => FastViTPreTrainedModel, Florence2ForConditionalGeneration: () => Florence2ForConditionalGeneration, Florence2PreTrainedModel: () => Florence2PreTrainedModel, GLPNForDepthEstimation: () => GLPNForDepthEstimation, GLPNModel: () => GLPNModel, GLPNPreTrainedModel: () => GLPNPreTrainedModel, GPT2LMHeadModel: () => GPT2LMHeadModel, GPT2Model: () => GPT2Model, GPT2PreTrainedModel: () => GPT2PreTrainedModel, GPTBigCodeForCausalLM: () => GPTBigCodeForCausalLM, GPTBigCodeModel: () => GPTBigCodeModel, GPTBigCodePreTrainedModel: () => GPTBigCodePreTrainedModel, GPTJForCausalLM: () => GPTJForCausalLM, GPTJModel: () => GPTJModel, GPTJPreTrainedModel: () => GPTJPreTrainedModel, GPTNeoForCausalLM: () => GPTNeoForCausalLM, GPTNeoModel: () => GPTNeoModel, GPTNeoPreTrainedModel: () => GPTNeoPreTrainedModel, GPTNeoXForCausalLM: () => GPTNeoXForCausalLM, GPTNeoXModel: () => GPTNeoXModel, GPTNeoXPreTrainedModel: () => GPTNeoXPreTrainedModel, Gemma2ForCausalLM: () => Gemma2ForCausalLM, Gemma2Model: () => Gemma2Model, Gemma2PreTrainedModel: () => Gemma2PreTrainedModel, Gemma3ForCausalLM: () => Gemma3ForCausalLM, Gemma3ForConditionalGeneration: () => Gemma3ForConditionalGeneration, Gemma3Model: () => Gemma3Model, Gemma3PreTrainedModel: () => Gemma3PreTrainedModel, Gemma3nForCausalLM: () => Gemma3nForCausalLM, Gemma3nForConditionalGeneration: () => Gemma3nForConditionalGeneration, Gemma3nPreTrainedModel: () => Gemma3nPreTrainedModel, Gemma4ForCausalLM: () => Gemma4ForCausalLM, Gemma4ForConditionalGeneration: () => Gemma4ForConditionalGeneration, GemmaForCausalLM: () => GemmaForCausalLM, GemmaModel: () => GemmaModel, GemmaPreTrainedModel: () => GemmaPreTrainedModel, GlmForCausalLM: () => GlmForCausalLM, GlmModel: () => GlmModel, GlmMoeDsaForCausalLM: () => GlmMoeDsaForCausalLM, GlmMoeDsaModel: () => GlmMoeDsaModel, GlmMoeDsaPreTrainedModel: () => GlmMoeDsaPreTrainedModel, GlmOcrForConditionalGeneration: () => GlmOcrForConditionalGeneration, GlmPreTrainedModel: () => GlmPreTrainedModel, GptOssForCausalLM: () => GptOssForCausalLM, GptOssModel: () => GptOssModel, GptOssPreTrainedModel: () => GptOssPreTrainedModel, GraniteForCausalLM: () => GraniteForCausalLM, GraniteModel: () => GraniteModel, GraniteMoeHybridForCausalLM: () => GraniteMoeHybridForCausalLM, GraniteMoeHybridModel: () => GraniteMoeHybridModel, GraniteMoeHybridPreTrainedModel: () => GraniteMoeHybridPreTrainedModel, GranitePreTrainedModel: () => GranitePreTrainedModel, GraniteSpeechForConditionalGeneration: () => GraniteSpeechForConditionalGeneration, GroundingDinoForObjectDetection: () => GroundingDinoForObjectDetection, GroundingDinoPreTrainedModel: () => GroundingDinoPreTrainedModel, GroupViTModel: () => GroupViTModel, GroupViTPreTrainedModel: () => GroupViTPreTrainedModel, HeliumForCausalLM: () => HeliumForCausalLM, HeliumModel: () => HeliumModel, HeliumPreTrainedModel: () => HeliumPreTrainedModel, HieraForImageClassification: () => HieraForImageClassification, HieraModel: () => HieraModel, HieraPreTrainedModel: () => HieraPreTrainedModel, HubertForCTC: () => HubertForCTC, HubertForSequenceClassification: () => HubertForSequenceClassification, HubertModel: () => HubertModel, HubertPreTrainedModel: () => HubertPreTrainedModel, HunYuanDenseV1ForCausalLM: () => HunYuanDenseV1ForCausalLM, HunYuanDenseV1Model: () => HunYuanDenseV1Model, HunYuanDenseV1PreTrainedModel: () => HunYuanDenseV1PreTrainedModel, IJepaForImageClassification: () => IJepaForImageClassification, IJepaModel: () => IJepaModel, IJepaPreTrainedModel: () => IJepaPreTrainedModel, Idefics3ForConditionalGeneration: () => Idefics3ForConditionalGeneration, JAISLMHeadModel: () => JAISLMHeadModel, JAISModel: () => JAISModel, JAISPreTrainedModel: () => JAISPreTrainedModel, JinaCLIPModel: () => JinaCLIPModel, JinaCLIPPreTrainedModel: () => JinaCLIPPreTrainedModel, JinaCLIPTextModel: () => JinaCLIPTextModel, JinaCLIPVisionModel: () => JinaCLIPVisionModel, Lfm2ForCausalLM: () => Lfm2ForCausalLM, Lfm2Model: () => Lfm2Model, Lfm2MoeForCausalLM: () => Lfm2MoeForCausalLM, Lfm2MoeModel: () => Lfm2MoeModel, Lfm2MoePreTrainedModel: () => Lfm2MoePreTrainedModel, Lfm2PreTrainedModel: () => Lfm2PreTrainedModel, Lfm2VlForConditionalGeneration: () => Lfm2VlForConditionalGeneration, LightOnOcrForConditionalGeneration: () => LightOnOcrForConditionalGeneration, LiteWhisperForConditionalGeneration: () => LiteWhisperForConditionalGeneration, Llama4ForCausalLM: () => Llama4ForCausalLM, Llama4PreTrainedModel: () => Llama4PreTrainedModel, LlamaForCausalLM: () => LlamaForCausalLM, LlamaModel: () => LlamaModel, LlamaPreTrainedModel: () => LlamaPreTrainedModel, LlavaForConditionalGeneration: () => LlavaForConditionalGeneration, LlavaOnevisionForConditionalGeneration: () => LlavaForConditionalGeneration, LlavaPreTrainedModel: () => LlavaPreTrainedModel, LlavaQwen2ForCausalLM: () => LlavaQwen2ForCausalLM, LongT5ForConditionalGeneration: () => LongT5ForConditionalGeneration, LongT5Model: () => LongT5Model, LongT5PreTrainedModel: () => LongT5PreTrainedModel, M2M100ForConditionalGeneration: () => M2M100ForConditionalGeneration, M2M100Model: () => M2M100Model, M2M100PreTrainedModel: () => M2M100PreTrainedModel, MBartForCausalLM: () => MBartForCausalLM, MBartForConditionalGeneration: () => MBartForConditionalGeneration, MBartForSequenceClassification: () => MBartForSequenceClassification, MBartModel: () => MBartModel, MBartPreTrainedModel: () => MBartPreTrainedModel, MPNetForMaskedLM: () => MPNetForMaskedLM, MPNetForQuestionAnswering: () => MPNetForQuestionAnswering, MPNetForSequenceClassification: () => MPNetForSequenceClassification, MPNetForTokenClassification: () => MPNetForTokenClassification, MPNetModel: () => MPNetModel, MPNetPreTrainedModel: () => MPNetPreTrainedModel, MT5ForConditionalGeneration: () => MT5ForConditionalGeneration, MT5Model: () => MT5Model, MT5PreTrainedModel: () => MT5PreTrainedModel, MarianMTModel: () => MarianMTModel, MarianModel: () => MarianModel, MarianPreTrainedModel: () => MarianPreTrainedModel, MaskFormerForInstanceSegmentation: () => MaskFormerForInstanceSegmentation, MaskFormerModel: () => MaskFormerModel, MaskFormerPreTrainedModel: () => MaskFormerPreTrainedModel, Metric3DForDepthEstimation: () => Metric3DForDepthEstimation, Metric3DPreTrainedModel: () => Metric3DPreTrainedModel, Metric3Dv2ForDepthEstimation: () => Metric3Dv2ForDepthEstimation, Metric3Dv2PreTrainedModel: () => Metric3Dv2PreTrainedModel, MgpstrForSceneTextRecognition: () => MgpstrForSceneTextRecognition, MgpstrModelOutput: () => MgpstrModelOutput, MgpstrPreTrainedModel: () => MgpstrPreTrainedModel, MimiDecoderModel: () => MimiDecoderModel, MimiDecoderOutput: () => MimiDecoderOutput, MimiEncoderModel: () => MimiEncoderModel, MimiEncoderOutput: () => MimiEncoderOutput, MimiModel: () => MimiModel, MimiPreTrainedModel: () => MimiPreTrainedModel, Mistral4ForCausalLM: () => Mistral4ForCausalLM, Mistral4Model: () => Mistral4Model, Mistral4PreTrainedModel: () => Mistral4PreTrainedModel, MistralForCausalLM: () => MistralForCausalLM, MistralModel: () => MistralModel, MistralPreTrainedModel: () => MistralPreTrainedModel, MobileBertForMaskedLM: () => MobileBertForMaskedLM, MobileBertForQuestionAnswering: () => MobileBertForQuestionAnswering, MobileBertForSequenceClassification: () => MobileBertForSequenceClassification, MobileBertModel: () => MobileBertModel, MobileBertPreTrainedModel: () => MobileBertPreTrainedModel, MobileLLMForCausalLM: () => MobileLLMForCausalLM, MobileLLMModel: () => MobileLLMModel, MobileLLMPreTrainedModel: () => MobileLLMPreTrainedModel, MobileNetV1ForImageClassification: () => MobileNetV1ForImageClassification, MobileNetV1ForSemanticSegmentation: () => MobileNetV1ForSemanticSegmentation, MobileNetV1Model: () => MobileNetV1Model, MobileNetV1PreTrainedModel: () => MobileNetV1PreTrainedModel, MobileNetV2ForImageClassification: () => MobileNetV2ForImageClassification, MobileNetV2ForSemanticSegmentation: () => MobileNetV2ForSemanticSegmentation, MobileNetV2Model: () => MobileNetV2Model, MobileNetV2PreTrainedModel: () => MobileNetV2PreTrainedModel, MobileNetV3ForImageClassification: () => MobileNetV3ForImageClassification, MobileNetV3ForSemanticSegmentation: () => MobileNetV3ForSemanticSegmentation, MobileNetV3Model: () => MobileNetV3Model, MobileNetV3PreTrainedModel: () => MobileNetV3PreTrainedModel, MobileNetV4ForImageClassification: () => MobileNetV4ForImageClassification, MobileNetV4ForSemanticSegmentation: () => MobileNetV4ForSemanticSegmentation, MobileNetV4Model: () => MobileNetV4Model, MobileNetV4PreTrainedModel: () => MobileNetV4PreTrainedModel, MobileViTForImageClassification: () => MobileViTForImageClassification, MobileViTModel: () => MobileViTModel, MobileViTPreTrainedModel: () => MobileViTPreTrainedModel, MobileViTV2ForImageClassification: () => MobileViTV2ForImageClassification, MobileViTV2Model: () => MobileViTV2Model, MobileViTV2PreTrainedModel: () => MobileViTV2PreTrainedModel, ModernBertDecoderForCausalLM: () => ModernBertDecoderForCausalLM, ModernBertDecoderModel: () => ModernBertDecoderModel, ModernBertDecoderPreTrainedModel: () => ModernBertDecoderPreTrainedModel, ModernBertForMaskedLM: () => ModernBertForMaskedLM, ModernBertForSequenceClassification: () => ModernBertForSequenceClassification, ModernBertForTokenClassification: () => ModernBertForTokenClassification, ModernBertModel: () => ModernBertModel, ModernBertPreTrainedModel: () => ModernBertPreTrainedModel, Moondream1ForConditionalGeneration: () => Moondream1ForConditionalGeneration, MoonshineForConditionalGeneration: () => MoonshineForConditionalGeneration, MoonshineModel: () => MoonshineModel, MoonshinePreTrainedModel: () => MoonshinePreTrainedModel, MptForCausalLM: () => MptForCausalLM, MptModel: () => MptModel, MptPreTrainedModel: () => MptPreTrainedModel, MultiModalityCausalLM: () => MultiModalityCausalLM, MultiModalityPreTrainedModel: () => MultiModalityPreTrainedModel, MusicgenForCausalLM: () => MusicgenForCausalLM, MusicgenForConditionalGeneration: () => MusicgenForConditionalGeneration, MusicgenModel: () => MusicgenModel, MusicgenPreTrainedModel: () => MusicgenPreTrainedModel, NanoChatForCausalLM: () => NanoChatForCausalLM, NanoChatModel: () => NanoChatModel, NanoChatPreTrainedModel: () => NanoChatPreTrainedModel, NemotronHForCausalLM: () => NemotronHForCausalLM, NemotronHModel: () => NemotronHModel, NemotronHPreTrainedModel: () => NemotronHPreTrainedModel, NeoBertForMaskedLM: () => NeoBertForMaskedLM, NeoBertForQuestionAnswering: () => NeoBertForQuestionAnswering, NeoBertForSequenceClassification: () => NeoBertForSequenceClassification, NeoBertForTokenClassification: () => NeoBertForTokenClassification, NeoBertModel: () => NeoBertModel, NeoBertPreTrainedModel: () => NeoBertPreTrainedModel, NomicBertModel: () => NomicBertModel, NomicBertPreTrainedModel: () => NomicBertPreTrainedModel, OPTForCausalLM: () => OPTForCausalLM, OPTModel: () => OPTModel, OPTPreTrainedModel: () => OPTPreTrainedModel, Olmo2ForCausalLM: () => Olmo2ForCausalLM, Olmo2Model: () => Olmo2Model, Olmo2PreTrainedModel: () => Olmo2PreTrainedModel, Olmo3ForCausalLM: () => Olmo3ForCausalLM, Olmo3Model: () => Olmo3Model, Olmo3PreTrainedModel: () => Olmo3PreTrainedModel, OlmoForCausalLM: () => OlmoForCausalLM, OlmoHybridForCausalLM: () => OlmoHybridForCausalLM, OlmoHybridModel: () => OlmoHybridModel, OlmoHybridPreTrainedModel: () => OlmoHybridPreTrainedModel, OlmoModel: () => OlmoModel, OlmoPreTrainedModel: () => OlmoPreTrainedModel, OpenAIPrivacyFilterForTokenClassification: () => OpenAIPrivacyFilterForTokenClassification, OpenAIPrivacyFilterModel: () => OpenAIPrivacyFilterModel, OpenAIPrivacyFilterPreTrainedModel: () => OpenAIPrivacyFilterPreTrainedModel, OpenELMForCausalLM: () => OpenELMForCausalLM, OpenELMModel: () => OpenELMModel, OpenELMPreTrainedModel: () => OpenELMPreTrainedModel, OwlViTForObjectDetection: () => OwlViTForObjectDetection, OwlViTModel: () => OwlViTModel, OwlViTPreTrainedModel: () => OwlViTPreTrainedModel, Owlv2ForObjectDetection: () => Owlv2ForObjectDetection, Owlv2Model: () => Owlv2Model, Owlv2PreTrainedModel: () => Owlv2PreTrainedModel, PaliGemmaForConditionalGeneration: () => PaliGemmaForConditionalGeneration, ParakeetForCTC: () => ParakeetForCTC, ParakeetPreTrainedModel: () => ParakeetPreTrainedModel, PatchTSMixerForPrediction: () => PatchTSMixerForPrediction, PatchTSMixerModel: () => PatchTSMixerModel, PatchTSMixerPreTrainedModel: () => PatchTSMixerPreTrainedModel, PatchTSTForPrediction: () => PatchTSTForPrediction, PatchTSTModel: () => PatchTSTModel, PatchTSTPreTrainedModel: () => PatchTSTPreTrainedModel, Phi3ForCausalLM: () => Phi3ForCausalLM, Phi3Model: () => Phi3Model, Phi3PreTrainedModel: () => Phi3PreTrainedModel, Phi3VForCausalLM: () => Phi3VForCausalLM, Phi3VPreTrainedModel: () => Phi3VPreTrainedModel, PhiForCausalLM: () => PhiForCausalLM, PhiModel: () => PhiModel, PhiPreTrainedModel: () => PhiPreTrainedModel, PreTrainedModel: () => PreTrainedModel, PvtForImageClassification: () => PvtForImageClassification, PvtModel: () => PvtModel, PvtPreTrainedModel: () => PvtPreTrainedModel, PyAnnoteForAudioFrameClassification: () => PyAnnoteForAudioFrameClassification, PyAnnoteModel: () => PyAnnoteModel, PyAnnotePreTrainedModel: () => PyAnnotePreTrainedModel, Qwen2ForCausalLM: () => Qwen2ForCausalLM, Qwen2Model: () => Qwen2Model, Qwen2MoeForCausalLM: () => Qwen2MoeForCausalLM, Qwen2MoeModel: () => Qwen2MoeModel, Qwen2MoePreTrainedModel: () => Qwen2MoePreTrainedModel, Qwen2PreTrainedModel: () => Qwen2PreTrainedModel, Qwen2VLForCausalLM: () => Qwen2VLForCausalLM, Qwen2VLForConditionalGeneration: () => Qwen2VLForConditionalGeneration, Qwen2VLPreTrainedModel: () => Qwen2VLPreTrainedModel, Qwen2_5_VLForCausalLM: () => Qwen2_5_VLForCausalLM, Qwen2_5_VLForConditionalGeneration: () => Qwen2_5_VLForConditionalGeneration, Qwen3ForCausalLM: () => Qwen3ForCausalLM, Qwen3Model: () => Qwen3Model, Qwen3MoeForCausalLM: () => Qwen3MoeForCausalLM, Qwen3MoeModel: () => Qwen3MoeModel, Qwen3MoePreTrainedModel: () => Qwen3MoePreTrainedModel, Qwen3NextForCausalLM: () => Qwen3NextForCausalLM, Qwen3NextModel: () => Qwen3NextModel, Qwen3NextPreTrainedModel: () => Qwen3NextPreTrainedModel, Qwen3PreTrainedModel: () => Qwen3PreTrainedModel, Qwen3VLForCausalLM: () => Qwen3VLForCausalLM, Qwen3VLForConditionalGeneration: () => Qwen3VLForConditionalGeneration, Qwen3VLMoeForCausalLM: () => Qwen3VLMoeForCausalLM, Qwen3VLMoeForConditionalGeneration: () => Qwen3VLMoeForConditionalGeneration, Qwen3_5ForCausalLM: () => Qwen3_5ForCausalLM, Qwen3_5ForConditionalGeneration: () => Qwen3_5ForConditionalGeneration, Qwen3_5MoeForCausalLM: () => Qwen3_5MoeForCausalLM, Qwen3_5MoeForConditionalGeneration: () => Qwen3_5MoeForConditionalGeneration, RFDetrForObjectDetection: () => RFDetrForObjectDetection, RFDetrModel: () => RFDetrModel, RFDetrObjectDetectionOutput: () => RFDetrObjectDetectionOutput, RFDetrPreTrainedModel: () => RFDetrPreTrainedModel, RTDetrForObjectDetection: () => RTDetrForObjectDetection, RTDetrModel: () => RTDetrModel, RTDetrObjectDetectionOutput: () => RTDetrObjectDetectionOutput, RTDetrPreTrainedModel: () => RTDetrPreTrainedModel, RTDetrV2ForObjectDetection: () => RTDetrV2ForObjectDetection, RTDetrV2Model: () => RTDetrV2Model, RTDetrV2ObjectDetectionOutput: () => RTDetrV2ObjectDetectionOutput, RTDetrV2PreTrainedModel: () => RTDetrV2PreTrainedModel, ResNetForImageClassification: () => ResNetForImageClassification, ResNetModel: () => ResNetModel, ResNetPreTrainedModel: () => ResNetPreTrainedModel, RoFormerForMaskedLM: () => RoFormerForMaskedLM, RoFormerForQuestionAnswering: () => RoFormerForQuestionAnswering, RoFormerForSequenceClassification: () => RoFormerForSequenceClassification, RoFormerForTokenClassification: () => RoFormerForTokenClassification, RoFormerModel: () => RoFormerModel, RoFormerPreTrainedModel: () => RoFormerPreTrainedModel, RobertaForMaskedLM: () => RobertaForMaskedLM, RobertaForQuestionAnswering: () => RobertaForQuestionAnswering, RobertaForSequenceClassification: () => RobertaForSequenceClassification, RobertaForTokenClassification: () => RobertaForTokenClassification, RobertaModel: () => RobertaModel, RobertaPreTrainedModel: () => RobertaPreTrainedModel, Sam2ImageSegmentationOutput: () => Sam2ImageSegmentationOutput, Sam2Model: () => Sam2Model, Sam2PreTrainedModel: () => Sam2PreTrainedModel, Sam3TrackerModel: () => Sam3TrackerModel, SamImageSegmentationOutput: () => SamImageSegmentationOutput, SamModel: () => SamModel, SamPreTrainedModel: () => SamPreTrainedModel, SapiensForDepthEstimation: () => SapiensForDepthEstimation, SapiensForNormalEstimation: () => SapiensForNormalEstimation, SapiensForSemanticSegmentation: () => SapiensForSemanticSegmentation, SapiensPreTrainedModel: () => SapiensPreTrainedModel, SegformerForImageClassification: () => SegformerForImageClassification, SegformerForSemanticSegmentation: () => SegformerForSemanticSegmentation, SegformerModel: () => SegformerModel, SegformerPreTrainedModel: () => SegformerPreTrainedModel, SiglipModel: () => SiglipModel, SiglipPreTrainedModel: () => SiglipPreTrainedModel, SiglipTextModel: () => SiglipTextModel, SiglipVisionModel: () => SiglipVisionModel, SmolLM3ForCausalLM: () => SmolLM3ForCausalLM, SmolLM3Model: () => SmolLM3Model, SmolLM3PreTrainedModel: () => SmolLM3PreTrainedModel, SmolVLMForConditionalGeneration: () => SmolVLMForConditionalGeneration, SnacDecoderModel: () => SnacDecoderModel, SnacEncoderModel: () => SnacEncoderModel, SnacModel: () => SnacModel, SnacPreTrainedModel: () => SnacPreTrainedModel, SolarOpenForCausalLM: () => SolarOpenForCausalLM, SolarOpenModel: () => SolarOpenModel, SolarOpenPreTrainedModel: () => SolarOpenPreTrainedModel, SpeechT5ForSpeechToText: () => SpeechT5ForSpeechToText, SpeechT5ForTextToSpeech: () => SpeechT5ForTextToSpeech, SpeechT5HifiGan: () => SpeechT5HifiGan, SpeechT5Model: () => SpeechT5Model, SpeechT5PreTrainedModel: () => SpeechT5PreTrainedModel, SqueezeBertForMaskedLM: () => SqueezeBertForMaskedLM, SqueezeBertForQuestionAnswering: () => SqueezeBertForQuestionAnswering, SqueezeBertForSequenceClassification: () => SqueezeBertForSequenceClassification, SqueezeBertModel: () => SqueezeBertModel, SqueezeBertPreTrainedModel: () => SqueezeBertPreTrainedModel, StableLmForCausalLM: () => StableLmForCausalLM, StableLmModel: () => StableLmModel, StableLmPreTrainedModel: () => StableLmPreTrainedModel, Starcoder2ForCausalLM: () => Starcoder2ForCausalLM, Starcoder2Model: () => Starcoder2Model, Starcoder2PreTrainedModel: () => Starcoder2PreTrainedModel, StyleTextToSpeech2Model: () => StyleTextToSpeech2Model, StyleTextToSpeech2PreTrainedModel: () => StyleTextToSpeech2PreTrainedModel, SupertonicForConditionalGeneration: () => SupertonicForConditionalGeneration, SupertonicPreTrainedModel: () => SupertonicPreTrainedModel, Swin2SRForImageSuperResolution: () => Swin2SRForImageSuperResolution, Swin2SRModel: () => Swin2SRModel, Swin2SRPreTrainedModel: () => Swin2SRPreTrainedModel, SwinForImageClassification: () => SwinForImageClassification, SwinForSemanticSegmentation: () => SwinForSemanticSegmentation, SwinModel: () => SwinModel, SwinPreTrainedModel: () => SwinPreTrainedModel, T5ForConditionalGeneration: () => T5ForConditionalGeneration, T5Model: () => T5Model, T5PreTrainedModel: () => T5PreTrainedModel, TableTransformerForObjectDetection: () => TableTransformerForObjectDetection, TableTransformerModel: () => TableTransformerModel, TableTransformerObjectDetectionOutput: () => TableTransformerObjectDetectionOutput, TableTransformerPreTrainedModel: () => TableTransformerPreTrainedModel, TrOCRForCausalLM: () => TrOCRForCausalLM, TrOCRPreTrainedModel: () => TrOCRPreTrainedModel, UltravoxModel: () => UltravoxModel, UltravoxPreTrainedModel: () => UltravoxPreTrainedModel, UniSpeechForCTC: () => UniSpeechForCTC, UniSpeechForSequenceClassification: () => UniSpeechForSequenceClassification, UniSpeechModel: () => UniSpeechModel, UniSpeechPreTrainedModel: () => UniSpeechPreTrainedModel, UniSpeechSatForAudioFrameClassification: () => UniSpeechSatForAudioFrameClassification, UniSpeechSatForCTC: () => UniSpeechSatForCTC, UniSpeechSatForSequenceClassification: () => UniSpeechSatForSequenceClassification, UniSpeechSatModel: () => UniSpeechSatModel, UniSpeechSatPreTrainedModel: () => UniSpeechSatPreTrainedModel, VaultGemmaForCausalLM: () => VaultGemmaForCausalLM, VaultGemmaModel: () => VaultGemmaModel, VaultGemmaPreTrainedModel: () => VaultGemmaPreTrainedModel, ViTForImageClassification: () => ViTForImageClassification, ViTMAEModel: () => ViTMAEModel, ViTMAEPreTrainedModel: () => ViTMAEPreTrainedModel, ViTMSNForImageClassification: () => ViTMSNForImageClassification, ViTMSNModel: () => ViTMSNModel, ViTMSNPreTrainedModel: () => ViTMSNPreTrainedModel, ViTModel: () => ViTModel, ViTPreTrainedModel: () => ViTPreTrainedModel, VisionEncoderDecoderModel: () => VisionEncoderDecoderModel, VitMatteForImageMatting: () => VitMatteForImageMatting, VitMattePreTrainedModel: () => VitMattePreTrainedModel, VitPoseForPoseEstimation: () => VitPoseForPoseEstimation, VitPosePreTrainedModel: () => VitPosePreTrainedModel, VitsModel: () => VitsModel, VitsModelOutput: () => VitsModelOutput, VitsPreTrainedModel: () => VitsPreTrainedModel, VoxtralForConditionalGeneration: () => VoxtralForConditionalGeneration, VoxtralRealtimeForConditionalGeneration: () => VoxtralRealtimeForConditionalGeneration, VoxtralRealtimePreTrainedModel: () => VoxtralRealtimePreTrainedModel, Wav2Vec2BertForCTC: () => Wav2Vec2BertForCTC, Wav2Vec2BertForSequenceClassification: () => Wav2Vec2BertForSequenceClassification, Wav2Vec2BertModel: () => Wav2Vec2BertModel, Wav2Vec2BertPreTrainedModel: () => Wav2Vec2BertPreTrainedModel, Wav2Vec2ForAudioFrameClassification: () => Wav2Vec2ForAudioFrameClassification, Wav2Vec2ForCTC: () => Wav2Vec2ForCTC, Wav2Vec2ForSequenceClassification: () => Wav2Vec2ForSequenceClassification, Wav2Vec2Model: () => Wav2Vec2Model, Wav2Vec2PreTrainedModel: () => Wav2Vec2PreTrainedModel, WavLMForAudioFrameClassification: () => WavLMForAudioFrameClassification, WavLMForCTC: () => WavLMForCTC, WavLMForSequenceClassification: () => WavLMForSequenceClassification, WavLMForXVector: () => WavLMForXVector, WavLMModel: () => WavLMModel, WavLMPreTrainedModel: () => WavLMPreTrainedModel, WeSpeakerResNetModel: () => WeSpeakerResNetModel, WeSpeakerResNetPreTrainedModel: () => WeSpeakerResNetPreTrainedModel, WhisperForConditionalGeneration: () => WhisperForConditionalGeneration, WhisperModel: () => WhisperModel, WhisperPreTrainedModel: () => WhisperPreTrainedModel, XLMForQuestionAnswering: () => XLMForQuestionAnswering, XLMForSequenceClassification: () => XLMForSequenceClassification, XLMForTokenClassification: () => XLMForTokenClassification, XLMModel: () => XLMModel, XLMPreTrainedModel: () => XLMPreTrainedModel, XLMRobertaForMaskedLM: () => XLMRobertaForMaskedLM, XLMRobertaForQuestionAnswering: () => XLMRobertaForQuestionAnswering, XLMRobertaForSequenceClassification: () => XLMRobertaForSequenceClassification, XLMRobertaForTokenClassification: () => XLMRobertaForTokenClassification, XLMRobertaModel: () => XLMRobertaModel, XLMRobertaPreTrainedModel: () => XLMRobertaPreTrainedModel, XLMWithLMHeadModel: () => XLMWithLMHeadModel, XVectorOutput: () => XVectorOutput, YolosForObjectDetection: () => YolosForObjectDetection, YolosModel: () => YolosModel, YolosObjectDetectionOutput: () => YolosObjectDetectionOutput, YolosPreTrainedModel: () => YolosPreTrainedModel, YoutuForCausalLM: () => YoutuForCausalLM, YoutuModel: () => YoutuModel, YoutuPreTrainedModel: () => YoutuPreTrainedModel }); var AlbertPreTrainedModel = class extends PreTrainedModel { }; var AlbertModel = class extends AlbertPreTrainedModel { }; var AlbertForSequenceClassification = class extends AlbertPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} returned object */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var AlbertForQuestionAnswering = class extends AlbertPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} returned object */ async _call(model_inputs) { return new QuestionAnsweringModelOutput(await super._call(model_inputs)); } }; var AlbertForMaskedLM = class extends AlbertPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} returned object */ async _call(model_inputs) { return new MaskedLMOutput(await super._call(model_inputs)); } }; var ApertusPreTrainedModel = class extends PreTrainedModel { }; var ApertusModel = class extends ApertusPreTrainedModel { }; var ApertusForCausalLM = class extends ApertusPreTrainedModel { }; var AfmoePreTrainedModel = class extends PreTrainedModel { }; var AfmoeModel = class extends AfmoePreTrainedModel { }; var AfmoeForCausalLM = class extends AfmoePreTrainedModel { }; var ArceePreTrainedModel = class extends PreTrainedModel { }; var ArceeModel = class extends ArceePreTrainedModel { }; var ArceeForCausalLM = class extends ArceePreTrainedModel { }; var ASTPreTrainedModel = class extends PreTrainedModel { }; var ASTModel = class extends ASTPreTrainedModel { }; var ASTForAudioClassification = class extends ASTPreTrainedModel { }; var BartPretrainedModel = class extends PreTrainedModel { }; var BartModel = class extends BartPretrainedModel { }; var BartForConditionalGeneration = class extends BartPretrainedModel { }; var BartForSequenceClassification = class extends BartPretrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for sequence classification. */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var BeitPreTrainedModel = class extends PreTrainedModel { }; var BeitModel = class extends BeitPreTrainedModel { }; var BeitForImageClassification = class extends BeitPreTrainedModel { /** * @param {any} model_inputs */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var BertPreTrainedModel = class extends PreTrainedModel { }; var BertModel = class extends BertPreTrainedModel { }; var BertForMaskedLM = class extends BertPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for masked language modeling. */ async _call(model_inputs) { return new MaskedLMOutput(await super._call(model_inputs)); } }; var BertForSequenceClassification = class extends BertPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for sequence classification. */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var BertForTokenClassification = class extends BertPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for token classification. */ async _call(model_inputs) { return new TokenClassifierOutput(await super._call(model_inputs)); } }; var BertForQuestionAnswering = class extends BertPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for question answering. */ async _call(model_inputs) { return new QuestionAnsweringModelOutput(await super._call(model_inputs)); } }; var BlenderbotPreTrainedModel = class extends PreTrainedModel { }; var BlenderbotModel = class extends BlenderbotPreTrainedModel { }; var BlenderbotForConditionalGeneration = class extends BlenderbotPreTrainedModel { }; var BlenderbotSmallPreTrainedModel = class extends PreTrainedModel { }; var BlenderbotSmallModel = class extends BlenderbotSmallPreTrainedModel { }; var BlenderbotSmallForConditionalGeneration = class extends BlenderbotSmallPreTrainedModel { }; var BloomPreTrainedModel = class extends PreTrainedModel { }; var BloomModel = class extends BloomPreTrainedModel { }; var BloomForCausalLM = class extends BloomPreTrainedModel { }; var CamembertPreTrainedModel = class extends PreTrainedModel { }; var CamembertModel = class extends CamembertPreTrainedModel { }; var CamembertForMaskedLM = class extends CamembertPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for masked language modeling. */ async _call(model_inputs) { return new MaskedLMOutput(await super._call(model_inputs)); } }; var CamembertForSequenceClassification = class extends CamembertPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for sequence classification. */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var CamembertForTokenClassification = class extends CamembertPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for token classification. */ async _call(model_inputs) { return new TokenClassifierOutput(await super._call(model_inputs)); } }; var CamembertForQuestionAnswering = class extends CamembertPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for question answering. */ async _call(model_inputs) { return new QuestionAnsweringModelOutput(await super._call(model_inputs)); } }; var SILENCE_TOKEN = 4299n; var START_SPEECH_TOKEN = 6561n; var ChatterboxPreTrainedModel = class extends PreTrainedModel { forward_params = [ "input_ids", "inputs_embeds", "attention_mask", "position_ids", "audio_values", "exaggeration", "audio_features", "audio_tokens", "speaker_embeddings", "speaker_features", "past_key_values" ]; main_input_name = "input_ids"; _return_dict_in_generate_keys = ["audio_tokens", "speaker_embeddings", "speaker_features"]; }; var ChatterboxModel = class extends ChatterboxPreTrainedModel { /** * @param {Tensor} audio_values * @returns {Promise<{audio_features: Tensor, audio_tokens: Tensor, speaker_embeddings: Tensor, speaker_features: Tensor}>} */ async encode_speech(audio_values) { return sessionRun(this.sessions["speech_encoder"], { audio_values }); } async forward({ // Produced by the tokenizer/processor: input_ids = null, attention_mask = null, audio_values = null, exaggeration = null, // Used during generation: position_ids = null, inputs_embeds = null, past_key_values = null, // Generic generation parameters generation_config = null, logits_processor = null, // Speaker embeddings/features (useful for re-using pre-computed speaker data) audio_features = null, // float32[batch_size,sequence_length,1024] audio_tokens = null, // int64[batch_size,audio_sequence_length] speaker_embeddings = null, // float32[batch_size,192] speaker_features = null, // float32[batch_size,feature_dim,80] // TODO: needed? ...kwargs }) { let speech_encoder_outputs; if (!inputs_embeds) { const expected_inputs = this.sessions["embed_tokens"].inputNames; const embed_model_inputs = { input_ids }; if (expected_inputs.includes("exaggeration")) { if (!(exaggeration instanceof Tensor2)) { const batch_size = input_ids.dims[0]; if (exaggeration == null) { exaggeration = full([batch_size], 0.5); } else if (typeof exaggeration === "number") { exaggeration = full([batch_size], exaggeration); } else if (Array.isArray(exaggeration)) { exaggeration = new Tensor2("float32", exaggeration, [batch_size]); } else { throw new Error("Unsupported type for `exaggeration` input"); } } embed_model_inputs.exaggeration = exaggeration; } if (expected_inputs.includes("position_ids")) { embed_model_inputs.position_ids = position_ids; } ({ inputs_embeds } = await sessionRun(this.sessions["embed_tokens"], embed_model_inputs)); if (audio_features && audio_tokens && speaker_embeddings && speaker_features) { speech_encoder_outputs = { audio_features, audio_tokens, speaker_embeddings, speaker_features }; } if (speech_encoder_outputs || audio_values) { speech_encoder_outputs ??= await this.encode_speech(audio_values); inputs_embeds = cat([speech_encoder_outputs.audio_features, inputs_embeds], 1); attention_mask = ones([inputs_embeds.dims[0], inputs_embeds.dims[1]]); } else { const target_length = inputs_embeds.dims[1]; if (!past_key_values || target_length !== 1) { throw new Error("Incorrect state encountered during generation."); } const past_length = past_key_values.get_seq_length(); attention_mask = ones([inputs_embeds.dims[0], past_length + target_length]); } } const outputs = await decoder_forward( this, { inputs_embeds, past_key_values, attention_mask, generation_config, logits_processor }, false ); return { ...outputs, ...speech_encoder_outputs }; } prepare_inputs_for_generation(input_ids, model_inputs, generation_config) { if (!model_inputs.position_ids && this.sessions["embed_tokens"].inputNames.includes("position_ids")) { if (model_inputs.input_ids.dims[1] === 1) { const position_ids = Array.from( { length: input_ids.length }, (_, i) => input_ids[i].length - input_ids[i].findLastIndex((x) => x == START_SPEECH_TOKEN) - 1 ); model_inputs.position_ids = new Tensor2("int64", position_ids, [input_ids.length, 1]); } else { const batched_input_ids = model_inputs.input_ids.tolist(); const position_ids_list = batched_input_ids.map((ids) => { let position = 0; return ids.map((id) => id >= START_SPEECH_TOKEN ? 0 : position++); }); model_inputs.position_ids = new Tensor2("int64", position_ids_list.flat(), model_inputs.input_ids.dims); } } if (model_inputs.input_ids.dims[1] === 1) { delete model_inputs.audio_values; delete model_inputs.audio_features; delete model_inputs.audio_tokens; delete model_inputs.speaker_embeddings; delete model_inputs.speaker_features; } return decoder_prepare_inputs_for_generation(this, input_ids, model_inputs, generation_config); } /** @type {PreTrainedModel['generate']} */ async generate(params) { const { sequences, audio_tokens, speaker_embeddings, speaker_features } = ( /** @type {any} */ await super.generate({ ...params, return_dict_in_generate: true }) ); const new_tokens = sequences.slice(null, [ /** @type {Tensor} */ params.input_ids.dims[1], // Exclude start of speech token -1 // Exclude end of speech token ]); const silence_tokens = full([new_tokens.dims[0], 3], SILENCE_TOKEN); const speech_tokens = cat([audio_tokens, new_tokens, silence_tokens], 1); const { waveform } = await sessionRun(this.sessions["conditional_decoder"], { speech_tokens, speaker_features, speaker_embeddings }); return waveform; } }; var ChineseCLIPPreTrainedModel = class extends PreTrainedModel { }; var ChineseCLIPModel = class extends ChineseCLIPPreTrainedModel { }; var CHMv2PreTrainedModel = class extends PreTrainedModel { }; var CHMv2ForDepthEstimation = class extends CHMv2PreTrainedModel { }; var ClapPreTrainedModel = class extends PreTrainedModel { }; var ClapModel = class extends ClapPreTrainedModel { }; var ClapTextModelWithProjection = class extends ClapPreTrainedModel { /** @type {typeof PreTrainedModel.from_pretrained} */ static async from_pretrained(pretrained_model_name_or_path, options = {}) { return super.from_pretrained(pretrained_model_name_or_path, { ...options, // Update default model file name if not provided model_file_name: options.model_file_name ?? "text_model" }); } }; var ClapAudioModelWithProjection = class extends ClapPreTrainedModel { /** @type {typeof PreTrainedModel.from_pretrained} */ static async from_pretrained(pretrained_model_name_or_path, options = {}) { return super.from_pretrained(pretrained_model_name_or_path, { ...options, // Update default model file name if not provided model_file_name: options.model_file_name ?? "audio_model" }); } }; var CLIPPreTrainedModel = class extends PreTrainedModel { }; var CLIPModel = class extends CLIPPreTrainedModel { }; var CLIPTextModel = class extends CLIPPreTrainedModel { /** @type {typeof PreTrainedModel.from_pretrained} */ static async from_pretrained(pretrained_model_name_or_path, options = {}) { return super.from_pretrained(pretrained_model_name_or_path, { ...options, // Update default model file name if not provided model_file_name: options.model_file_name ?? "text_model" }); } }; var CLIPTextModelWithProjection = class extends CLIPPreTrainedModel { /** @type {typeof PreTrainedModel.from_pretrained} */ static async from_pretrained(pretrained_model_name_or_path, options = {}) { return super.from_pretrained(pretrained_model_name_or_path, { ...options, // Update default model file name if not provided model_file_name: options.model_file_name ?? "text_model" }); } }; var CLIPVisionModel = class extends CLIPPreTrainedModel { /** @type {typeof PreTrainedModel.from_pretrained} */ static async from_pretrained(pretrained_model_name_or_path, options = {}) { return super.from_pretrained(pretrained_model_name_or_path, { ...options, // Update default model file name if not provided model_file_name: options.model_file_name ?? "vision_model" }); } }; var CLIPVisionModelWithProjection = class extends CLIPPreTrainedModel { /** @type {typeof PreTrainedModel.from_pretrained} */ static async from_pretrained(pretrained_model_name_or_path, options = {}) { return super.from_pretrained(pretrained_model_name_or_path, { ...options, // Update default model file name if not provided model_file_name: options.model_file_name ?? "vision_model" }); } }; var CLIPSegPreTrainedModel = class extends PreTrainedModel { }; var CLIPSegModel = class extends CLIPSegPreTrainedModel { }; var CLIPSegForImageSegmentation = class extends CLIPSegPreTrainedModel { }; var CodeGenPreTrainedModel = class extends PreTrainedModel { }; var CodeGenModel = class extends CodeGenPreTrainedModel { }; var CodeGenForCausalLM = class extends CodeGenPreTrainedModel { }; var CoherePreTrainedModel = class extends PreTrainedModel { }; var CohereModel = class extends CoherePreTrainedModel { }; var CohereForCausalLM = class extends CoherePreTrainedModel { }; var Cohere2PreTrainedModel = class extends PreTrainedModel { }; var Cohere2Model = class extends Cohere2PreTrainedModel { }; var Cohere2ForCausalLM = class extends Cohere2PreTrainedModel { }; var CohereAsrPreTrainedModel = class extends PreTrainedModel { requires_attention_mask = false; main_input_name = "input_features"; forward_params = ["input_features", "decoder_input_ids", "decoder_attention_mask", "past_key_values"]; }; var CohereAsrModel = class extends CohereAsrPreTrainedModel { }; var CohereAsrForConditionalGeneration = class extends CohereAsrPreTrainedModel { }; var ConvBertPreTrainedModel = class extends PreTrainedModel { }; var ConvBertModel = class extends ConvBertPreTrainedModel { }; var ConvBertForMaskedLM = class extends ConvBertPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for masked language modeling. */ async _call(model_inputs) { return new MaskedLMOutput(await super._call(model_inputs)); } }; var ConvBertForSequenceClassification = class extends ConvBertPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for sequence classification. */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var ConvBertForTokenClassification = class extends ConvBertPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for token classification. */ async _call(model_inputs) { return new TokenClassifierOutput(await super._call(model_inputs)); } }; var ConvBertForQuestionAnswering = class extends ConvBertPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for question answering. */ async _call(model_inputs) { return new QuestionAnsweringModelOutput(await super._call(model_inputs)); } }; var ConvNextPreTrainedModel = class extends PreTrainedModel { }; var ConvNextModel = class extends ConvNextPreTrainedModel { }; var ConvNextForImageClassification = class extends ConvNextPreTrainedModel { /** * @param {any} model_inputs */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var ConvNextV2PreTrainedModel = class extends PreTrainedModel { }; var ConvNextV2Model = class extends ConvNextV2PreTrainedModel { }; var ConvNextV2ForImageClassification = class extends ConvNextV2PreTrainedModel { /** * @param {any} model_inputs */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var RTDetrPreTrainedModel = class extends PreTrainedModel { }; var RTDetrModel = class extends RTDetrPreTrainedModel { }; var RTDetrForObjectDetection = class extends RTDetrPreTrainedModel { /** * @param {any} model_inputs */ async _call(model_inputs) { return new RTDetrObjectDetectionOutput(await super._call(model_inputs)); } }; var RTDetrObjectDetectionOutput = class extends ModelOutput { /** * @param {Object} output The output of the model. * @param {Tensor} output.logits Classification logits (including no-object) for all queries. * @param {Tensor} output.pred_boxes Normalized boxes coordinates for all queries, represented as (center_x, center_y, width, height). * These values are normalized in [0, 1], relative to the size of each individual image in the batch (disregarding possible padding). */ constructor({ logits, pred_boxes }) { super(); this.logits = logits; this.pred_boxes = pred_boxes; } }; var DFinePreTrainedModel = class extends PreTrainedModel { }; var DFineModel = class extends DFinePreTrainedModel { }; var DFineForObjectDetection = class extends DFinePreTrainedModel { /** * @param {any} model_inputs */ async _call(model_inputs) { return new RTDetrObjectDetectionOutput(await super._call(model_inputs)); } }; var DacEncoderOutput = class extends ModelOutput { /** * @param {Object} output The output of the model. * @param {Tensor} output.audio_codes Discrete code embeddings, of shape `(batch_size, num_quantizers, codes_length)`. */ constructor({ audio_codes }) { super(); this.audio_codes = audio_codes; } }; var DacDecoderOutput = class extends ModelOutput { /** * @param {Object} output The output of the model. * @param {Tensor} output.audio_values Decoded audio values, of shape `(batch_size, num_channels, sequence_length)`. */ constructor({ audio_values }) { super(); this.audio_values = audio_values; } }; var DacPreTrainedModel = class extends PreTrainedModel { main_input_name = "input_values"; forward_params = ["input_values"]; }; var DacModel = class extends DacPreTrainedModel { /** * Encodes the input audio waveform into discrete codes. * @param {Object} inputs Model inputs * @param {Tensor} [inputs.input_values] Float values of the input audio waveform, of shape `(batch_size, channels, sequence_length)`). * @returns {Promise} The output tensor of shape `(batch_size, num_codebooks, sequence_length)`. */ async encode(inputs) { return new DacEncoderOutput(await sessionRun(this.sessions["encoder_model"], inputs)); } /** * Decodes the given frames into an output audio waveform. * @param {DacEncoderOutput} inputs The encoded audio codes. * @returns {Promise} The output tensor of shape `(batch_size, num_channels, sequence_length)`. */ async decode(inputs) { return new DacDecoderOutput(await sessionRun(this.sessions["decoder_model"], inputs)); } }; var DacEncoderModel = class extends DacPreTrainedModel { /** @type {typeof PreTrainedModel.from_pretrained} */ static async from_pretrained(pretrained_model_name_or_path, options = {}) { return super.from_pretrained(pretrained_model_name_or_path, { ...options, // Update default model file name if not provided model_file_name: options.model_file_name ?? "encoder_model" }); } }; var DacDecoderModel = class extends DacPreTrainedModel { /** @type {typeof PreTrainedModel.from_pretrained} */ static async from_pretrained(pretrained_model_name_or_path, options = {}) { return super.from_pretrained(pretrained_model_name_or_path, { ...options, // Update default model file name if not provided model_file_name: options.model_file_name ?? "decoder_model" }); } }; var DebertaPreTrainedModel = class extends PreTrainedModel { }; var DebertaModel = class extends DebertaPreTrainedModel { }; var DebertaForMaskedLM = class extends DebertaPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for masked language modeling. */ async _call(model_inputs) { return new MaskedLMOutput(await super._call(model_inputs)); } }; var DebertaForSequenceClassification = class extends DebertaPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for sequence classification. */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var DebertaForTokenClassification = class extends DebertaPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for token classification. */ async _call(model_inputs) { return new TokenClassifierOutput(await super._call(model_inputs)); } }; var DebertaForQuestionAnswering = class extends DebertaPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for question answering. */ async _call(model_inputs) { return new QuestionAnsweringModelOutput(await super._call(model_inputs)); } }; var DeepseekV3PreTrainedModel = class extends PreTrainedModel { }; var DeepseekV3Model = class extends DeepseekV3PreTrainedModel { }; var DeepseekV3ForCausalLM = class extends DeepseekV3PreTrainedModel { }; var DebertaV2PreTrainedModel = class extends PreTrainedModel { }; var DebertaV2Model = class extends DebertaV2PreTrainedModel { }; var DebertaV2ForMaskedLM = class extends DebertaV2PreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for masked language modeling. */ async _call(model_inputs) { return new MaskedLMOutput(await super._call(model_inputs)); } }; var DebertaV2ForSequenceClassification = class extends DebertaV2PreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for sequence classification. */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var DebertaV2ForTokenClassification = class extends DebertaV2PreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for token classification. */ async _call(model_inputs) { return new TokenClassifierOutput(await super._call(model_inputs)); } }; var DebertaV2ForQuestionAnswering = class extends DebertaV2PreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for question answering. */ async _call(model_inputs) { return new QuestionAnsweringModelOutput(await super._call(model_inputs)); } }; var DecisionTransformerPreTrainedModel = class extends PreTrainedModel { }; var DecisionTransformerModel = class extends DecisionTransformerPreTrainedModel { }; var DeiTPreTrainedModel = class extends PreTrainedModel { }; var DeiTModel = class extends DeiTPreTrainedModel { }; var DeiTForImageClassification = class extends DeiTPreTrainedModel { /** * @param {any} model_inputs */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var DepthAnythingPreTrainedModel = class extends PreTrainedModel { }; var DepthAnythingForDepthEstimation = class extends DepthAnythingPreTrainedModel { }; var DepthProPreTrainedModel = class extends PreTrainedModel { }; var DepthProForDepthEstimation = class extends DepthProPreTrainedModel { }; var DetrPreTrainedModel = class extends PreTrainedModel { }; var DetrModel = class extends DetrPreTrainedModel { }; var DetrForObjectDetection = class extends DetrPreTrainedModel { /** * @param {any} model_inputs */ async _call(model_inputs) { return new DetrObjectDetectionOutput(await super._call(model_inputs)); } }; var DetrForSegmentation = class extends DetrPreTrainedModel { /** * Runs the model with the provided inputs * @param {Object} model_inputs Model inputs * @returns {Promise} Object containing segmentation outputs */ async _call(model_inputs) { return new DetrSegmentationOutput(await super._call(model_inputs)); } }; var DetrObjectDetectionOutput = class extends ModelOutput { /** * @param {Object} output The output of the model. * @param {Tensor} output.logits Classification logits (including no-object) for all queries. * @param {Tensor} output.pred_boxes Normalized boxes coordinates for all queries, represented as (center_x, center_y, width, height). * These values are normalized in [0, 1], relative to the size of each individual image in the batch (disregarding possible padding). */ constructor({ logits, pred_boxes }) { super(); this.logits = logits; this.pred_boxes = pred_boxes; } }; var DetrSegmentationOutput = class extends ModelOutput { /** * @param {Object} output The output of the model. * @param {Tensor} output.logits The output logits of the model. * @param {Tensor} output.pred_boxes Predicted boxes. * @param {Tensor} output.pred_masks Predicted masks. */ constructor({ logits, pred_boxes, pred_masks }) { super(); this.logits = logits; this.pred_boxes = pred_boxes; this.pred_masks = pred_masks; } }; var Dinov2PreTrainedModel = class extends PreTrainedModel { }; var Dinov2Model = class extends Dinov2PreTrainedModel { }; var Dinov2ForImageClassification = class extends Dinov2PreTrainedModel { /** * @param {any} model_inputs */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var Dinov2WithRegistersPreTrainedModel = class extends PreTrainedModel { }; var Dinov2WithRegistersModel = class extends Dinov2WithRegistersPreTrainedModel { }; var Dinov2WithRegistersForImageClassification = class extends Dinov2WithRegistersPreTrainedModel { /** * @param {any} model_inputs */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var DINOv3ConvNextPreTrainedModel = class extends PreTrainedModel { }; var DINOv3ConvNextModel = class extends DINOv3ConvNextPreTrainedModel { }; var DINOv3ViTPreTrainedModel = class extends PreTrainedModel { }; var DINOv3ViTModel = class extends DINOv3ViTPreTrainedModel { }; var DistilBertPreTrainedModel = class extends PreTrainedModel { }; var DistilBertModel = class extends DistilBertPreTrainedModel { }; var DistilBertForSequenceClassification = class extends DistilBertPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for sequence classification. */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var DistilBertForTokenClassification = class extends DistilBertPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for token classification. */ async _call(model_inputs) { return new TokenClassifierOutput(await super._call(model_inputs)); } }; var DistilBertForQuestionAnswering = class extends DistilBertPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for question answering. */ async _call(model_inputs) { return new QuestionAnsweringModelOutput(await super._call(model_inputs)); } }; var DistilBertForMaskedLM = class extends DistilBertPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} returned object */ async _call(model_inputs) { return new MaskedLMOutput(await super._call(model_inputs)); } }; var DonutSwinPreTrainedModel = class extends PreTrainedModel { }; var DonutSwinModel = class extends DonutSwinPreTrainedModel { }; var DPTPreTrainedModel = class extends PreTrainedModel { }; var DPTModel = class extends DPTPreTrainedModel { }; var DPTForDepthEstimation = class extends DPTPreTrainedModel { }; var EfficientNetPreTrainedModel = class extends PreTrainedModel { }; var EfficientNetModel = class extends EfficientNetPreTrainedModel { }; var EfficientNetForImageClassification = class extends EfficientNetPreTrainedModel { /** * @param {any} model_inputs */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var ElectraPreTrainedModel = class extends PreTrainedModel { }; var ElectraModel = class extends ElectraPreTrainedModel { }; var ElectraForMaskedLM = class extends ElectraPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for masked language modeling. */ async _call(model_inputs) { return new MaskedLMOutput(await super._call(model_inputs)); } }; var ElectraForSequenceClassification = class extends ElectraPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for sequence classification. */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var ElectraForTokenClassification = class extends ElectraPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for token classification. */ async _call(model_inputs) { return new TokenClassifierOutput(await super._call(model_inputs)); } }; var ElectraForQuestionAnswering = class extends ElectraPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for question answering. */ async _call(model_inputs) { return new QuestionAnsweringModelOutput(await super._call(model_inputs)); } }; var Ernie4_5PretrainedModel = class extends PreTrainedModel { }; var Ernie4_5Model = class extends Ernie4_5PretrainedModel { }; var Ernie4_5ForCausalLM = class extends Ernie4_5PretrainedModel { }; var EsmPreTrainedModel = class extends PreTrainedModel { }; var EsmModel = class extends EsmPreTrainedModel { }; var EsmForMaskedLM = class extends EsmPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for masked language modeling. */ async _call(model_inputs) { return new MaskedLMOutput(await super._call(model_inputs)); } }; var EsmForSequenceClassification = class extends EsmPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for sequence classification. */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var EsmForTokenClassification = class extends EsmPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for token classification. */ async _call(model_inputs) { return new TokenClassifierOutput(await super._call(model_inputs)); } }; var EuroBertPreTrainedModel = class extends PreTrainedModel { }; var EuroBertModel = class extends EuroBertPreTrainedModel { }; var EuroBertForMaskedLM = class extends EuroBertPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for masked language modeling. */ async _call(model_inputs) { return new MaskedLMOutput(await super._call(model_inputs)); } }; var EuroBertForSequenceClassification = class extends EuroBertPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for sequence classification. */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var EuroBertForTokenClassification = class extends EuroBertPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for token classification. */ async _call(model_inputs) { return new TokenClassifierOutput(await super._call(model_inputs)); } }; var ExaonePreTrainedModel = class extends PreTrainedModel { }; var ExaoneModel = class extends ExaonePreTrainedModel { }; var ExaoneForCausalLM = class extends ExaonePreTrainedModel { }; var FalconPreTrainedModel = class extends PreTrainedModel { }; var FalconModel = class extends FalconPreTrainedModel { }; var FalconForCausalLM = class extends FalconPreTrainedModel { }; var FalconH1PreTrainedModel = class extends PreTrainedModel { }; var FalconH1Model = class extends FalconH1PreTrainedModel { }; var FalconH1ForCausalLM = class extends FalconH1PreTrainedModel { }; var FastViTPreTrainedModel = class extends PreTrainedModel { }; var FastViTModel = class extends FastViTPreTrainedModel { }; var FastViTForImageClassification = class extends FastViTPreTrainedModel { /** * @param {any} model_inputs */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var Florence2PreTrainedModel = class extends PreTrainedModel { forward_params = [ // Encoder inputs "input_ids", "inputs_embeds", "attention_mask", "pixel_values", // Decoder inputs "encoder_outputs", "decoder_input_ids", "decoder_inputs_embeds", "decoder_attention_mask", "past_key_values" ]; main_input_name = "inputs_embeds"; }; var Florence2ForConditionalGeneration = class extends Florence2PreTrainedModel { _merge_input_ids_with_image_features({ inputs_embeds, image_features, input_ids, attention_mask }) { return { inputs_embeds: cat( [ image_features, // image embeds inputs_embeds // task prefix embeds ], 1 ), attention_mask: cat( [ ones(image_features.dims.slice(0, 2)), // image attention mask attention_mask // task prefix attention mask ], 1 ) }; } async _prepare_inputs_embeds({ input_ids, pixel_values, inputs_embeds, attention_mask }) { if (!input_ids && !pixel_values) { throw new Error("Either `input_ids` or `pixel_values` should be provided."); } let text_features, image_features; if (input_ids) { text_features = await this.encode_text({ input_ids }); } if (pixel_values) { image_features = await this.encode_image({ pixel_values }); } if (text_features && image_features) { ({ inputs_embeds, attention_mask } = this._merge_input_ids_with_image_features({ inputs_embeds: text_features, image_features, input_ids, attention_mask })); } else { inputs_embeds = text_features || image_features; } return { inputs_embeds, attention_mask }; } async forward({ input_ids, pixel_values, attention_mask, decoder_input_ids, decoder_attention_mask, encoder_outputs, past_key_values, inputs_embeds, decoder_inputs_embeds }) { if (!inputs_embeds) { ({ inputs_embeds, attention_mask } = await this._prepare_inputs_embeds({ input_ids, pixel_values, inputs_embeds, attention_mask })); } if (!encoder_outputs) { let { last_hidden_state } = await encoder_forward(this, { inputs_embeds, attention_mask }); encoder_outputs = last_hidden_state; } if (!decoder_inputs_embeds) { if (!decoder_input_ids) { throw new Error("Either `decoder_input_ids` or `decoder_inputs_embeds` should be provided."); } decoder_inputs_embeds = await this.encode_text({ input_ids: decoder_input_ids }); } const decoderFeeds = { inputs_embeds: decoder_inputs_embeds, attention_mask: decoder_attention_mask, encoder_attention_mask: attention_mask, encoder_hidden_states: encoder_outputs, past_key_values }; return await decoder_forward(this, decoderFeeds, true); } }; var GemmaPreTrainedModel = class extends PreTrainedModel { }; var GemmaModel = class extends GemmaPreTrainedModel { }; var GemmaForCausalLM = class extends GemmaPreTrainedModel { }; var Gemma2PreTrainedModel = class extends PreTrainedModel { }; var Gemma2Model = class extends Gemma2PreTrainedModel { }; var Gemma2ForCausalLM = class extends Gemma2PreTrainedModel { }; var LlavaPreTrainedModel = class extends PreTrainedModel { forward_params = ["input_ids", "attention_mask", "pixel_values", "position_ids", "past_key_values"]; }; var LlavaForConditionalGeneration = class extends LlavaPreTrainedModel { _merge_input_ids_with_image_features(kwargs) { const vision_hidden_size = kwargs.image_features.dims.at(-1); const reshaped_image_hidden_states = kwargs.image_features.view(-1, vision_hidden_size); return default_merge_input_ids_with_image_features({ // @ts-ignore image_token_id: this.config.image_token_index ?? this.config.image_token_id, ...kwargs, image_features: reshaped_image_hidden_states }); } }; var Moondream1ForConditionalGeneration = class extends LlavaForConditionalGeneration { }; var LlavaQwen2ForCausalLM = class extends LlavaForConditionalGeneration { }; var Gemma3PreTrainedModel = class extends PreTrainedModel { }; var Gemma3Model = class extends Gemma3PreTrainedModel { }; var Gemma3ForConditionalGeneration = class extends LlavaForConditionalGeneration { }; var Gemma3ForCausalLM = class extends Gemma3ForConditionalGeneration { }; var Gemma3nPreTrainedModel = class extends PreTrainedModel { forward_params = [ "input_ids", "attention_mask", "inputs_embeds", "per_layer_inputs", "position_ids", "pixel_values", "input_features", "input_features_mask", "past_key_values" ]; }; var Gemma3nForConditionalGeneration = class extends Gemma3nPreTrainedModel { async forward({ // Produced by the tokenizer/processor: input_ids = null, attention_mask = null, pixel_values = null, input_features = null, input_features_mask = null, // Used during generation: position_ids = null, inputs_embeds = null, per_layer_inputs = null, past_key_values = null, // Generic generation parameters generation_config = null, logits_processor = null, // TODO: needed? ...kwargs }) { if (!inputs_embeds || !per_layer_inputs) { ({ inputs_embeds, per_layer_inputs } = await sessionRun(this.sessions["embed_tokens"], { input_ids })); if (input_ids.dims[1] !== 1) { if (pixel_values) { const { image_features } = await this._encode_vision({ pixel_values, ...kwargs }); ({ inputs_embeds, attention_mask } = this._merge_input_ids_with_image_features({ image_features, inputs_embeds, input_ids, attention_mask })); } if (input_features) { const { audio_features } = await sessionRun(this.sessions["audio_encoder"], { input_features, input_features_mask }); ({ inputs_embeds, attention_mask } = this._merge_input_ids_with_audio_features({ audio_features, inputs_embeds, input_ids, attention_mask })); } } } const outputs = await decoder_forward( this, { inputs_embeds, per_layer_inputs, past_key_values, attention_mask, position_ids, generation_config, logits_processor }, true ); return outputs; } _encode_vision(kwargs) { return sessionRun(this.sessions["vision_encoder"], { pixel_values: kwargs.pixel_values }); } _merge_input_ids_with_image_features(kwargs) { const vision_hidden_size = kwargs.image_features.dims.at(-1); const reshaped_image_hidden_states = kwargs.image_features.view(-1, vision_hidden_size); return default_merge_input_ids_with_image_features({ // @ts-ignore image_token_id: this.config.image_token_id, ...kwargs, image_features: reshaped_image_hidden_states }); } _merge_input_ids_with_audio_features(kwargs) { const audio_hidden_size = kwargs.audio_features.dims.at(-1); const reshaped_audio_features = kwargs.audio_features.view(-1, audio_hidden_size); return default_merge_input_ids_with_audio_features({ // @ts-ignore audio_token_id: this.config.audio_token_id, ...kwargs, audio_features: reshaped_audio_features }); } }; var Gemma3nForCausalLM = class extends Gemma3nForConditionalGeneration { }; var Gemma4ForConditionalGeneration = class extends Gemma3nForConditionalGeneration { forward_params = [ "input_ids", "attention_mask", "inputs_embeds", "per_layer_inputs", "position_ids", "pixel_values", "image_position_ids", "input_features", "input_features_mask", "past_key_values" ]; _encode_vision(kwargs) { return sessionRun(this.sessions["vision_encoder"], { pixel_values: kwargs.pixel_values, pixel_position_ids: kwargs.image_position_ids }); } }; var Gemma4ForCausalLM = class extends Gemma4ForConditionalGeneration { }; var GlmPreTrainedModel = class extends PreTrainedModel { }; var GlmModel = class extends GlmPreTrainedModel { }; var GlmForCausalLM = class extends GlmPreTrainedModel { }; var GlmMoeDsaPreTrainedModel = class extends PreTrainedModel { }; var GlmMoeDsaModel = class extends GlmMoeDsaPreTrainedModel { }; var GlmMoeDsaForCausalLM = class extends GlmMoeDsaPreTrainedModel { }; var Qwen2VLPreTrainedModel = class extends PreTrainedModel { forward_params = [ // Text inputs "input_ids", "attention_mask", "position_ids", "past_key_values", // Vision inputs "pixel_values", "image_grid_thw" ]; }; var Qwen2VLForConditionalGeneration = class extends Qwen2VLPreTrainedModel { // NOTE: This is used as the base class for all Qwen VL models and their CausalLM variants. // CausalLM variants (e.g., Qwen2VLForCausalLM) extend this class but load only // embed_tokens + decoder_model_merged (no vision_encoder) via MultimodalLanguageModelOnly type. image_grid_thw_name = "grid_thw"; /** * Compute text-only 3D rope position IDs (all 3 dims get the same 1D positions). * @param {Tensor} input_ids * @param {Tensor} attention_mask * @returns {[Tensor, Tensor]} [position_ids, mrope_position_deltas] */ _get_text_only_rope_index(input_ids, attention_mask) { if (attention_mask) { const { data, dims } = cumsum_masked_fill(attention_mask); const position_ids = BigInt64Array.from({ length: 3 * data.length }, (_, i) => data[i % data.length]); const mrope_position_deltas = Array.from( { length: dims[0] }, (_, i) => max(data.subarray(dims[1] * i, dims[1] * (i + 1)))[0] + 1n + BigInt(dims[1]) ); return [ new Tensor2("int64", position_ids, [3, ...dims]), new Tensor2("int64", mrope_position_deltas, [mrope_position_deltas.length, 1]) ]; } else { const [batch_size, seq_length] = input_ids.dims; const position_ids = BigInt64Array.from( { length: 3 * batch_size * seq_length }, (_, i) => BigInt(Math.floor(i % seq_length / batch_size)) ); return [new Tensor2("int64", position_ids, [3, ...input_ids.dims]), zeros([batch_size, 1])]; } } /** * Reorder per-segment position ID lists from [seg1[t,h,w], seg2[t,h,w], ...] into * global [all_t, all_h, all_w] order, then write back into the position_ids array * respecting attention mask. * @param {number[][]} llm_pos_ids_list List of per-segment position arrays, each of length 3*seg_len * @param {number[]} attn_mask Attention mask for this batch element * @param {number[][][]} position_ids_list [3][batch][seq] output array to write into * @param {number} batch_idx Current batch index * @returns {number[]} Flat reordered positions of length total_len */ _reorder_and_write_positions(llm_pos_ids_list, attn_mask, position_ids_list, batch_idx) { const total_len = llm_pos_ids_list.reduce((acc, x) => acc + x.length, 0); const llm_positions = new Array(total_len); let index = 0; for (let x = 0; x < 3; ++x) { for (const val of llm_pos_ids_list) { const seg_len = val.length / 3; for (let z2 = x * seg_len; z2 < (x + 1) * seg_len; ++z2) { llm_positions[index++] = val[z2]; } } } let count2 = 0; for (let y = 0; y < attn_mask.length; ++y) { if (attn_mask[y] == 1) { for (let x = 0; x < 3; ++x) { position_ids_list[x][batch_idx][y] = llm_positions[x * total_len / 3 + count2]; } ++count2; } } return llm_positions; } /** * Build per-batch position ID segments for multimodal rope. * Override this in subclasses to change how vision/text segments are identified and positioned. * @param {object} params * @param {any[]} params.filtered_ids - attention-masked token IDs for this batch element * @param {any[][]} params.image_grid_thw_list - all image grid dimensions * @param {any[][]} params.video_grid_thw_list - all video grid dimensions * @param {number} params.spatial_merge_size * @param {{image_index: number, video_index: number}} params.state - mutable counters shared across batches * @returns {number[][]} llm_pos_ids_list - segments of [t..., h..., w...] positions */ _get_multimodal_rope_positions({ filtered_ids, image_grid_thw_list, video_grid_thw_list, spatial_merge_size, state }) { const { image_token_id, video_token_id, vision_start_token_id } = this.config; const ids = filtered_ids; const vision_start_indices = ids.reduce((acc, x, idx) => { if (x == vision_start_token_id) acc.push(idx); return acc; }, []); const vision_tokens = vision_start_indices.map((x) => ids[x + 1]); const image_nums = vision_tokens.filter((x) => x == image_token_id).length; const video_nums = vision_tokens.filter((x) => x == video_token_id).length; const llm_pos_ids_list = []; let st2 = 0; let remain_images = image_nums; let remain_videos = video_nums; for (let j = 0; j < vision_tokens.length; ++j) { const next_image_token = ids.findIndex((x, i) => i > st2 && x == image_token_id); const next_video_token = ids.findIndex((x, i) => i > st2 && x == video_token_id); const ed_image = remain_images > 0 && next_image_token !== -1 ? next_image_token : ids.length + 1; const ed_video = remain_videos > 0 && next_video_token !== -1 ? next_video_token : ids.length + 1; let ed; let t, h, w; if (ed_image < ed_video) { [t, h, w] = image_grid_thw_list[state.image_index]; ++state.image_index; --remain_images; ed = ed_image; } else { [t, h, w] = video_grid_thw_list[state.video_index]; ++state.video_index; --remain_videos; ed = ed_video; } const [llm_grid_t, llm_grid_h, llm_grid_w] = [ Number(t), Math.floor(Number(h) / spatial_merge_size), Math.floor(Number(w) / spatial_merge_size) ]; const text_len = ed - st2; const st_idx = llm_pos_ids_list.length > 0 ? max(llm_pos_ids_list.at(-1))[0] + 1 : 0; llm_pos_ids_list.push(Array.from({ length: 3 * text_len }, (_, i) => st_idx + i % text_len)); const offset = text_len + st_idx; const grid_size = llm_grid_t * llm_grid_h * llm_grid_w; const t_index = Array.from( { length: grid_size }, (_, i) => offset + Math.floor(i / (llm_grid_h * llm_grid_w)) ); const h_index = Array.from( { length: grid_size }, (_, i) => offset + Math.floor(i / llm_grid_w) % llm_grid_h ); const w_index = Array.from({ length: grid_size }, (_, i) => offset + i % llm_grid_w); llm_pos_ids_list.push([t_index, h_index, w_index].flat()); st2 = ed + grid_size; } if (st2 < ids.length) { const st_idx = llm_pos_ids_list.length > 0 ? max(llm_pos_ids_list.at(-1))[0] + 1 : 0; const text_len = ids.length - st2; llm_pos_ids_list.push(Array.from({ length: 3 * text_len }, (_, i) => st_idx + i % text_len)); } return llm_pos_ids_list; } /** * Calculate the 3D rope index based on image and video's temporal, height and width in LLM. * * Explanation: * Each embedding sequence contains vision embedding and text embedding or just contains text embedding. * * For pure text embedding sequence, the rotary position embedding has no difference with mordern LLMs. * Examples: * input_ids: [T T T T T], here T is for text. * temporal position_ids: [0, 1, 2, 3, 4] * height position_ids: [0, 1, 2, 3, 4] * width position_ids: [0, 1, 2, 3, 4] * * For vision and text embedding sequence, we calculate 3D rotary position embedding for vision part * and 1D rotary position embeddin for text part. * Examples: * Assume we have a video input with 3 temporal patches, 2 height patches and 2 width patches. * input_ids: [V V V V V V V V V V V V T T T T T], here V is for vision. * vision temporal position_ids: [0, 0, 0, 0, 1, 1, 1, 1, 2, 2, 2, 2] * vision height position_ids: [0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1] * vision width position_ids: [0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1] * text temporal position_ids: [3, 4, 5, 6, 7] * text height position_ids: [3, 4, 5, 6, 7] * text width position_ids: [3, 4, 5, 6, 7] * Here we calculate the text start position_ids as the max vision position_ids plus 1. * * @param {Tensor} input_ids Indices of input sequence tokens in the vocabulary. Tensor of shape `(batch_size, sequence_length)`. * @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)`. * @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)`. * @param {Tensor} attention_mask (Optional) Mask to avoid performing attention on padding token indices. Tensor of shape `(batch_size, sequence_length)`. * @returns {[Tensor, Tensor]} [position_ids, mrope_position_deltas] */ get_rope_index(input_ids, image_grid_thw, video_grid_thw, attention_mask) { const { vision_config } = this.config; const spatial_merge_size = vision_config.spatial_merge_size ?? 2; if (image_grid_thw || video_grid_thw) { const total_input_ids = input_ids.tolist(); if (!attention_mask) { attention_mask = ones_like(input_ids); } const attention_mask_list = attention_mask.tolist(); const position_ids_list = Array.from( { length: 3 }, () => Array.from({ length: input_ids.dims[0] }, () => Array.from({ length: input_ids.dims[1] }, () => 0)) ); const image_grid_thw_list = image_grid_thw ? image_grid_thw.tolist() : []; const video_grid_thw_list = video_grid_thw ? video_grid_thw.tolist() : []; const state = { image_index: 0, video_index: 0 }; const mrope_position_deltas = []; for (let i = 0; i < total_input_ids.length; ++i) { const filtered_ids = total_input_ids[i].filter((_, j) => attention_mask_list[i][j] == 1); const llm_pos_ids_list = this._get_multimodal_rope_positions({ filtered_ids, image_grid_thw_list, video_grid_thw_list, spatial_merge_size, state }); const llm_positions = this._reorder_and_write_positions( llm_pos_ids_list, attention_mask_list[i], position_ids_list, i ); mrope_position_deltas.push(max(llm_positions)[0] + 1 - total_input_ids[i].length); } return [ new Tensor2("int64", position_ids_list.flat(Infinity), [3, input_ids.dims[0], input_ids.dims[1]]), new Tensor2("int64", mrope_position_deltas, [mrope_position_deltas.length, 1]) ]; } else { return this._get_text_only_rope_index(input_ids, attention_mask); } } async encode_image({ pixel_values, image_grid_thw }) { const features = (await sessionRun(this.sessions["vision_encoder"], { pixel_values, [this.image_grid_thw_name]: image_grid_thw })).image_features; return features; } _merge_input_ids_with_image_features(kwargs) { return default_merge_input_ids_with_image_features({ // @ts-ignore image_token_id: this.config.image_token_id, ...kwargs }); } prepare_inputs_for_generation(input_ids, model_inputs, generation_config) { if (!model_inputs.attention_mask || model_inputs.position_ids) { return model_inputs; } const session = this.sessions["decoder_model_merged"] ?? this.sessions["model"]; if (!session.inputNames.includes("position_ids")) { return model_inputs; } if (!model_inputs.past_key_values) { [model_inputs.position_ids, model_inputs.rope_deltas] = this.get_rope_index( model_inputs.input_ids, model_inputs.image_grid_thw, model_inputs.video_grid_thw, model_inputs.attention_mask ); } else { model_inputs.pixel_values = null; const past_length = model_inputs.past_key_values.get_seq_length(); if (past_length < model_inputs.input_ids.dims[1]) { const [full_position_ids, rope_deltas] = this.get_rope_index( model_inputs.input_ids, model_inputs.image_grid_thw, model_inputs.video_grid_thw, model_inputs.attention_mask ); model_inputs.rope_deltas = rope_deltas; model_inputs.position_ids = full_position_ids.slice(null, null, [past_length, null]); model_inputs.input_ids = model_inputs.input_ids.slice(null, [past_length, null]); } else { if (!model_inputs.rope_deltas) { [, model_inputs.rope_deltas] = this.get_rope_index( model_inputs.input_ids, model_inputs.image_grid_thw, model_inputs.video_grid_thw, model_inputs.attention_mask ); } const delta = BigInt(past_length); const rope_deltas_list = model_inputs.rope_deltas.map((x) => delta + x); model_inputs.position_ids = stack2([rope_deltas_list, rope_deltas_list, rope_deltas_list], 0); } } return model_inputs; } }; var Qwen2VLForCausalLM = class extends Qwen2VLForConditionalGeneration { }; var Qwen2_5_VLForConditionalGeneration = class extends Qwen2VLForConditionalGeneration { image_grid_thw_name = "image_grid_thw"; }; var Qwen2_5_VLForCausalLM = class extends Qwen2VLForCausalLM { image_grid_thw_name = "image_grid_thw"; }; var GlmOcrForConditionalGeneration = class extends Qwen2_5_VLForConditionalGeneration { /** * Compute 3D positional indices for vision tokens. * Temporal is constant, height is repeat-interleaved, width tiles. * @param {number} start_position * @param {number[]} grid_thw [T, H, W] * @param {number} temp_merge_size * @param {number} spatial_merge_size * @returns {number[]} Flat array of length 3 * seq_len: [temporal..., height..., width...] */ get_vision_position_ids(start_position, grid_thw, temp_merge_size, spatial_merge_size) { const llm_grid_t = Math.floor(grid_thw[0] / temp_merge_size); const llm_grid_h = Math.floor(grid_thw[1] / spatial_merge_size); const llm_grid_w = Math.floor(grid_thw[2] / spatial_merge_size); const seq_len = llm_grid_h * llm_grid_w * llm_grid_t; const t_pos = Array.from({ length: seq_len }, () => start_position); const h_pos = Array.from( { length: seq_len }, (_, i) => start_position + Math.floor(i / (llm_grid_w * llm_grid_t)) ); const w_pos = Array.from({ length: seq_len }, (_, i) => start_position + i % llm_grid_w); return [...t_pos, ...h_pos, ...w_pos]; } /** * GlmOcr uses mm_token_type_ids-style grouping (image tokens identified by image_token_id) * instead of vision_start_token_id scanning used by Qwen2VL. * After a vision segment, position advances by max(h, w) / spatial_merge_size. */ _get_multimodal_rope_positions({ filtered_ids, image_grid_thw_list, video_grid_thw_list, spatial_merge_size, state }) { const { image_token_id } = this.config; const groups = []; let group_start = 0; let current_type = filtered_ids[0] == image_token_id ? 1 : 0; for (let j = 1; j <= filtered_ids.length; ++j) { const t = j < filtered_ids.length ? filtered_ids[j] == image_token_id ? 1 : 0 : -1; if (t !== current_type) { groups.push([current_type, group_start, j]); group_start = j; current_type = t; } } let current_pos = 0; const llm_pos_ids_list = []; for (const [modality_type, start_idx, end_idx] of groups) { if (modality_type === 0) { const text_len = end_idx - start_idx; llm_pos_ids_list.push(Array.from({ length: 3 * text_len }, (_, i) => current_pos + i % text_len)); current_pos += text_len; } else { const grid_thw = image_grid_thw_list[state.image_index++].map(Number); const temp_merge_size = grid_thw[0]; llm_pos_ids_list.push( this.get_vision_position_ids(current_pos, grid_thw, temp_merge_size, spatial_merge_size) ); current_pos += Math.max(grid_thw[1], grid_thw[2]) / spatial_merge_size; } } return llm_pos_ids_list; } }; var GLPNPreTrainedModel = class extends PreTrainedModel { }; var GLPNModel = class extends GLPNPreTrainedModel { }; var GLPNForDepthEstimation = class extends GLPNPreTrainedModel { }; var GPTBigCodePreTrainedModel = class extends PreTrainedModel { }; var GPTBigCodeModel = class extends GPTBigCodePreTrainedModel { }; var GPTBigCodeForCausalLM = class extends GPTBigCodePreTrainedModel { }; var GPTNeoPreTrainedModel = class extends PreTrainedModel { }; var GPTNeoModel = class extends GPTNeoPreTrainedModel { }; var GPTNeoForCausalLM = class extends GPTNeoPreTrainedModel { }; var GPTNeoXPreTrainedModel = class extends PreTrainedModel { }; var GPTNeoXModel = class extends GPTNeoXPreTrainedModel { }; var GPTNeoXForCausalLM = class extends GPTNeoXPreTrainedModel { }; var GptOssPreTrainedModel = class extends PreTrainedModel { }; var GptOssModel = class extends GptOssPreTrainedModel { }; var GptOssForCausalLM = class extends GptOssPreTrainedModel { }; var GPT2PreTrainedModel = class extends PreTrainedModel { }; var GPT2Model = class extends GPT2PreTrainedModel { }; var GPT2LMHeadModel = class extends GPT2PreTrainedModel { }; var GPTJPreTrainedModel = class extends PreTrainedModel { }; var GPTJModel = class extends GPTJPreTrainedModel { }; var GPTJForCausalLM = class extends GPTJPreTrainedModel { }; var GranitePreTrainedModel = class extends PreTrainedModel { }; var GraniteModel = class extends GranitePreTrainedModel { }; var GraniteForCausalLM = class extends GranitePreTrainedModel { }; var GraniteMoeHybridPreTrainedModel = class extends PreTrainedModel { }; var GraniteMoeHybridModel = class extends GraniteMoeHybridPreTrainedModel { }; var GraniteMoeHybridForCausalLM = class extends GraniteMoeHybridPreTrainedModel { }; var UltravoxPreTrainedModel = class extends PreTrainedModel { forward_params = ["input_ids", "attention_mask", "position_ids", "audio_values", "past_key_values"]; }; var UltravoxModel = class extends UltravoxPreTrainedModel { _merge_input_ids_with_audio_features(kwargs) { const audio_hidden_size = kwargs.audio_features.dims.at(-1); const reshaped_audio_features = kwargs.audio_features.view(-1, audio_hidden_size); return default_merge_input_ids_with_audio_features({ // @ts-ignore audio_token_id: this.config.ignore_index ?? this.config.audio_token_id ?? this.config.audio_token_index, ...kwargs, audio_features: reshaped_audio_features }); } }; var GraniteSpeechForConditionalGeneration = class extends UltravoxModel { forward_params = ["input_ids", "attention_mask", "input_features", "past_key_values"]; }; var GroundingDinoPreTrainedModel = class extends PreTrainedModel { }; var GroundingDinoForObjectDetection = class extends GroundingDinoPreTrainedModel { }; var GroupViTPreTrainedModel = class extends PreTrainedModel { }; var GroupViTModel = class extends GroupViTPreTrainedModel { }; var HeliumPreTrainedModel = class extends PreTrainedModel { }; var HeliumModel = class extends HeliumPreTrainedModel { }; var HeliumForCausalLM = class extends HeliumPreTrainedModel { }; var HieraPreTrainedModel = class extends PreTrainedModel { }; var HieraModel = class extends HieraPreTrainedModel { }; var HieraForImageClassification = class extends HieraPreTrainedModel { /** * @param {any} model_inputs */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var Wav2Vec2PreTrainedModel = class extends PreTrainedModel { }; var Wav2Vec2Model = class extends Wav2Vec2PreTrainedModel { }; var Wav2Vec2ForCTC = class extends Wav2Vec2PreTrainedModel { /** * @param {Object} model_inputs * @param {Tensor} model_inputs.input_values Float values of input raw speech waveform. * @param {Tensor} model_inputs.attention_mask Mask to avoid performing convolution and attention on padding token indices. Mask values selected in [0, 1] */ async _call(model_inputs) { return new CausalLMOutput(await super._call(model_inputs)); } }; var Wav2Vec2ForSequenceClassification = class extends Wav2Vec2PreTrainedModel { /** * Calls the model on new inputs. * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for sequence classification. */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var Wav2Vec2ForAudioFrameClassification = class extends Wav2Vec2PreTrainedModel { /** * Calls the model on new inputs. * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for sequence classification. */ async _call(model_inputs) { return new TokenClassifierOutput(await super._call(model_inputs)); } }; var HubertPreTrainedModel = class extends PreTrainedModel { }; var HubertModel = class extends Wav2Vec2PreTrainedModel { }; var HubertForCTC = class extends Wav2Vec2PreTrainedModel { /** * @param {Object} model_inputs * @param {Tensor} model_inputs.input_values Float values of input raw speech waveform. * @param {Tensor} model_inputs.attention_mask Mask to avoid performing convolution and attention on padding token indices. Mask values selected in [0, 1] */ async _call(model_inputs) { return new CausalLMOutput(await super._call(model_inputs)); } }; var HubertForSequenceClassification = class extends Wav2Vec2PreTrainedModel { /** * Calls the model on new inputs. * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for sequence classification. */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var HunYuanDenseV1PreTrainedModel = class extends PreTrainedModel { }; var HunYuanDenseV1Model = class extends HunYuanDenseV1PreTrainedModel { }; var HunYuanDenseV1ForCausalLM = class extends HunYuanDenseV1PreTrainedModel { }; var Idefics3ForConditionalGeneration = class extends LlavaForConditionalGeneration { forward_params = [ "input_ids", "attention_mask", "pixel_values", "pixel_attention_mask", "position_ids", "past_key_values" ]; }; var IJepaPreTrainedModel = class extends PreTrainedModel { }; var IJepaModel = class extends IJepaPreTrainedModel { }; var IJepaForImageClassification = class extends IJepaPreTrainedModel { /** * @param {any} model_inputs */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var JAISPreTrainedModel = class extends PreTrainedModel { }; var JAISModel = class extends JAISPreTrainedModel { }; var JAISLMHeadModel = class extends JAISPreTrainedModel { }; var JinaCLIPPreTrainedModel = class extends PreTrainedModel { }; var JinaCLIPModel = class extends JinaCLIPPreTrainedModel { async forward(model_inputs) { const missing_text_inputs = !model_inputs.input_ids; const missing_image_inputs = !model_inputs.pixel_values; if (missing_text_inputs && missing_image_inputs) { throw new Error("Either `input_ids` or `pixel_values` should be provided."); } if (missing_text_inputs) { model_inputs.input_ids = ones([model_inputs.pixel_values.dims[0], 1]); } if (missing_image_inputs) { const { image_size } = this.config.vision_config; model_inputs.pixel_values = full([0, 3, image_size, image_size], 0); } const { text_embeddings, image_embeddings, l2norm_text_embeddings, l2norm_image_embeddings } = await super.forward(model_inputs); const result = {}; if (!missing_text_inputs) { result.text_embeddings = text_embeddings; result.l2norm_text_embeddings = l2norm_text_embeddings; } if (!missing_image_inputs) { result.image_embeddings = image_embeddings; result.l2norm_image_embeddings = l2norm_image_embeddings; } return result; } }; var JinaCLIPTextModel = class extends JinaCLIPPreTrainedModel { /** @type {typeof PreTrainedModel.from_pretrained} */ static async from_pretrained(pretrained_model_name_or_path, options = {}) { return super.from_pretrained(pretrained_model_name_or_path, { ...options, // Update default model file name if not provided model_file_name: options.model_file_name ?? "text_model" }); } }; var JinaCLIPVisionModel = class extends JinaCLIPPreTrainedModel { /** @type {typeof PreTrainedModel.from_pretrained} */ static async from_pretrained(pretrained_model_name_or_path, options = {}) { return super.from_pretrained(pretrained_model_name_or_path, { ...options, // Update default model file name if not provided model_file_name: options.model_file_name ?? "vision_model" }); } }; var Lfm2PreTrainedModel = class extends PreTrainedModel { }; var Lfm2Model = class extends Lfm2PreTrainedModel { }; var Lfm2ForCausalLM = class extends Lfm2PreTrainedModel { }; var LightOnOcrForConditionalGeneration = class extends LlavaForConditionalGeneration { }; var Lfm2MoePreTrainedModel = class extends PreTrainedModel { }; var Lfm2MoeModel = class extends Lfm2MoePreTrainedModel { }; var Lfm2MoeForCausalLM = class extends Lfm2MoePreTrainedModel { }; var Lfm2VlForConditionalGeneration = class extends LlavaForConditionalGeneration { forward_params = [ "input_ids", "attention_mask", "pixel_values", "pixel_attention_mask", "spatial_shapes", "position_ids", "past_key_values" ]; }; var LlamaPreTrainedModel = class extends PreTrainedModel { }; var LlamaModel = class extends LlamaPreTrainedModel { }; var LlamaForCausalLM = class extends LlamaPreTrainedModel { }; var Llama4PreTrainedModel = class extends PreTrainedModel { }; var Llama4ForCausalLM = class extends Llama4PreTrainedModel { }; var LongT5PreTrainedModel = class extends PreTrainedModel { }; var LongT5Model = class extends LongT5PreTrainedModel { }; var LongT5ForConditionalGeneration = class extends LongT5PreTrainedModel { }; var M2M100PreTrainedModel = class extends PreTrainedModel { }; var M2M100Model = class extends M2M100PreTrainedModel { }; var M2M100ForConditionalGeneration = class extends M2M100PreTrainedModel { }; var MarianPreTrainedModel = class extends PreTrainedModel { }; var MarianModel = class extends MarianPreTrainedModel { }; var MarianMTModel = class extends MarianPreTrainedModel { }; var MaskFormerPreTrainedModel = class extends PreTrainedModel { }; var MaskFormerModel = class extends MaskFormerPreTrainedModel { }; var MaskFormerForInstanceSegmentation = class extends MaskFormerPreTrainedModel { }; var MBartPreTrainedModel = class extends PreTrainedModel { }; var MBartModel = class extends MBartPreTrainedModel { }; var MBartForConditionalGeneration = class extends MBartPreTrainedModel { }; var MBartForSequenceClassification = class extends MBartPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for sequence classification. */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var MBartForCausalLM = class extends MBartPreTrainedModel { }; var Metric3DPreTrainedModel = class extends PreTrainedModel { }; var Metric3DForDepthEstimation = class extends Metric3DPreTrainedModel { }; var Metric3Dv2PreTrainedModel = class extends PreTrainedModel { }; var Metric3Dv2ForDepthEstimation = class extends Metric3Dv2PreTrainedModel { }; var MgpstrModelOutput = class extends ModelOutput { constructor({ char_logits, bpe_logits, wp_logits }) { super(); this.char_logits = char_logits; this.bpe_logits = bpe_logits; this.wp_logits = wp_logits; } get logits() { return [this.char_logits, this.bpe_logits, this.wp_logits]; } }; var MgpstrPreTrainedModel = class extends PreTrainedModel { }; var MgpstrForSceneTextRecognition = class extends MgpstrPreTrainedModel { /** * @param {any} model_inputs */ async _call(model_inputs) { return new MgpstrModelOutput(await super._call(model_inputs)); } }; var MimiEncoderOutput = class extends ModelOutput { /** * @param {Object} output The output of the model. * @param {Tensor} output.audio_codes Discrete code embeddings, of shape `(batch_size, num_quantizers, codes_length)`. */ constructor({ audio_codes }) { super(); this.audio_codes = audio_codes; } }; var MimiDecoderOutput = class extends ModelOutput { /** * @param {Object} output The output of the model. * @param {Tensor} output.audio_values Decoded audio values, of shape `(batch_size, num_channels, sequence_length)`. */ constructor({ audio_values }) { super(); this.audio_values = audio_values; } }; var MimiPreTrainedModel = class extends PreTrainedModel { main_input_name = "input_values"; forward_params = ["input_values"]; }; var MimiModel = class extends MimiPreTrainedModel { /** * Encodes the input audio waveform into discrete codes. * @param {Object} inputs Model inputs * @param {Tensor} [inputs.input_values] Float values of the input audio waveform, of shape `(batch_size, channels, sequence_length)`). * @returns {Promise} The output tensor of shape `(batch_size, num_codebooks, sequence_length)`. */ async encode(inputs) { return new MimiEncoderOutput(await sessionRun(this.sessions["encoder_model"], inputs)); } /** * Decodes the given frames into an output audio waveform. * @param {MimiEncoderOutput} inputs The encoded audio codes. * @returns {Promise} The output tensor of shape `(batch_size, num_channels, sequence_length)`. */ async decode(inputs) { return new MimiDecoderOutput(await sessionRun(this.sessions["decoder_model"], inputs)); } }; var MimiEncoderModel = class extends MimiPreTrainedModel { /** @type {typeof PreTrainedModel.from_pretrained} */ static async from_pretrained(pretrained_model_name_or_path, options = {}) { return super.from_pretrained(pretrained_model_name_or_path, { ...options, // Update default model file name if not provided model_file_name: options.model_file_name ?? "encoder_model" }); } }; var MimiDecoderModel = class extends MimiPreTrainedModel { /** @type {typeof PreTrainedModel.from_pretrained} */ static async from_pretrained(pretrained_model_name_or_path, options = {}) { return super.from_pretrained(pretrained_model_name_or_path, { ...options, // Update default model file name if not provided model_file_name: options.model_file_name ?? "decoder_model" }); } }; var MistralPreTrainedModel = class extends PreTrainedModel { }; var MistralModel = class extends MistralPreTrainedModel { }; var MistralForCausalLM = class extends MistralPreTrainedModel { }; var Mistral4PreTrainedModel = class extends PreTrainedModel { }; var Mistral4Model = class extends Mistral4PreTrainedModel { }; var Mistral4ForCausalLM = class extends Mistral4PreTrainedModel { }; var MobileBertPreTrainedModel = class extends PreTrainedModel { }; var MobileBertModel = class extends MobileBertPreTrainedModel { }; var MobileBertForMaskedLM = class extends MobileBertPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} returned object */ async _call(model_inputs) { return new MaskedLMOutput(await super._call(model_inputs)); } }; var MobileBertForSequenceClassification = class extends MobileBertPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} returned object */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var MobileBertForQuestionAnswering = class extends MobileBertPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} returned object */ async _call(model_inputs) { return new QuestionAnsweringModelOutput(await super._call(model_inputs)); } }; var MobileLLMPreTrainedModel = class extends PreTrainedModel { }; var MobileLLMModel = class extends MobileLLMPreTrainedModel { }; var MobileLLMForCausalLM = class extends MobileLLMPreTrainedModel { }; var MobileNetV1PreTrainedModel = class extends PreTrainedModel { }; var MobileNetV1Model = class extends MobileNetV1PreTrainedModel { }; var MobileNetV1ForImageClassification = class extends MobileNetV1PreTrainedModel { /** * @param {any} model_inputs */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var MobileNetV1ForSemanticSegmentation = class extends MobileNetV1PreTrainedModel { }; var MobileNetV2PreTrainedModel = class extends PreTrainedModel { }; var MobileNetV2Model = class extends MobileNetV2PreTrainedModel { }; var MobileNetV2ForImageClassification = class extends MobileNetV2PreTrainedModel { /** * @param {any} model_inputs */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var MobileNetV2ForSemanticSegmentation = class extends MobileNetV2PreTrainedModel { }; var MobileNetV3PreTrainedModel = class extends PreTrainedModel { }; var MobileNetV3Model = class extends MobileNetV3PreTrainedModel { }; var MobileNetV3ForImageClassification = class extends MobileNetV3PreTrainedModel { /** * @param {any} model_inputs */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var MobileNetV3ForSemanticSegmentation = class extends MobileNetV3PreTrainedModel { }; var MobileNetV4PreTrainedModel = class extends PreTrainedModel { }; var MobileNetV4Model = class extends MobileNetV4PreTrainedModel { }; var MobileNetV4ForImageClassification = class extends MobileNetV4PreTrainedModel { /** * @param {any} model_inputs */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var MobileNetV4ForSemanticSegmentation = class extends MobileNetV4PreTrainedModel { }; var MobileViTPreTrainedModel = class extends PreTrainedModel { }; var MobileViTModel = class extends MobileViTPreTrainedModel { }; var MobileViTForImageClassification = class extends MobileViTPreTrainedModel { /** * @param {any} model_inputs */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var MobileViTV2PreTrainedModel = class extends PreTrainedModel { }; var MobileViTV2Model = class extends MobileViTV2PreTrainedModel { }; var MobileViTV2ForImageClassification = class extends MobileViTV2PreTrainedModel { /** * @param {any} model_inputs */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var ModernBertPreTrainedModel = class extends PreTrainedModel { }; var ModernBertModel = class extends ModernBertPreTrainedModel { }; var ModernBertForMaskedLM = class extends ModernBertPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for masked language modeling. */ async _call(model_inputs) { return new MaskedLMOutput(await super._call(model_inputs)); } }; var ModernBertForSequenceClassification = class extends ModernBertPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for sequence classification. */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var ModernBertForTokenClassification = class extends ModernBertPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for token classification. */ async _call(model_inputs) { return new TokenClassifierOutput(await super._call(model_inputs)); } }; var ModernBertDecoderPreTrainedModel = class extends PreTrainedModel { }; var ModernBertDecoderModel = class extends ModernBertDecoderPreTrainedModel { }; var ModernBertDecoderForCausalLM = class extends ModernBertDecoderPreTrainedModel { }; var MoonshinePreTrainedModel = class extends PreTrainedModel { requires_attention_mask = false; main_input_name = "input_values"; forward_params = ["input_values", "decoder_input_ids", "past_key_values"]; }; var MoonshineModel = class extends MoonshinePreTrainedModel { }; var MoonshineForConditionalGeneration = class extends MoonshinePreTrainedModel { }; var MPNetPreTrainedModel = class extends PreTrainedModel { }; var MPNetModel = class extends MPNetPreTrainedModel { }; var MPNetForMaskedLM = class extends MPNetPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for masked language modeling. */ async _call(model_inputs) { return new MaskedLMOutput(await super._call(model_inputs)); } }; var MPNetForSequenceClassification = class extends MPNetPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for sequence classification. */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var MPNetForTokenClassification = class extends MPNetPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for token classification. */ async _call(model_inputs) { return new TokenClassifierOutput(await super._call(model_inputs)); } }; var MPNetForQuestionAnswering = class extends MPNetPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for question answering. */ async _call(model_inputs) { return new QuestionAnsweringModelOutput(await super._call(model_inputs)); } }; var MptPreTrainedModel = class extends PreTrainedModel { }; var MptModel = class extends MptPreTrainedModel { }; var MptForCausalLM = class extends MptPreTrainedModel { }; var MT5PreTrainedModel = class extends PreTrainedModel { }; var MT5Model = class extends MT5PreTrainedModel { }; var MT5ForConditionalGeneration = class extends MT5PreTrainedModel { }; var MultiModalityPreTrainedModel = class extends PreTrainedModel { }; var MultiModalityCausalLM = class extends MultiModalityPreTrainedModel { forward_params = [ // prepare_inputs_embeds "input_ids", "pixel_values", "images_seq_mask", "images_emb_mask", // language_model "attention_mask", "position_ids", "past_key_values" ]; /** * @param {ConstructorParameters} args */ constructor(...args2) { super(...args2); this._generation_mode = "text"; } async forward(model_inputs) { const mode = this._generation_mode ?? "text"; let output_1; if (mode === "text" || !model_inputs.past_key_values) { const session = this.sessions["prepare_inputs_embeds"]; const prep_inputs = pick(model_inputs, session.inputNames); output_1 = await sessionRun(session, prep_inputs); } else { const session = this.sessions["gen_img_embeds"]; const prep_inputs = pick( { image_ids: model_inputs.input_ids }, session.inputNames ); output_1 = await sessionRun(session, prep_inputs); } const input_2 = { ...model_inputs, ...output_1 }; const output_2 = await decoder_forward(this, input_2); const head = this.sessions[mode === "text" ? "lm_head" : "gen_head"]; if (!head) { throw new Error(`Unable to find "${head}" generation head`); } const output_3 = await sessionRun(head, pick(output_2, head.inputNames)); return { ...output_1, ...output_2, ...output_3 }; } prepare_inputs_for_generation(input_ids, model_inputs, generation_config) { const has_past_key_values = !!model_inputs.past_key_values; if (generation_config.guidance_scale !== null && generation_config.guidance_scale > 1) { if (has_past_key_values) { model_inputs.input_ids = cat([model_inputs.input_ids, model_inputs.input_ids], 0); } else { model_inputs.input_ids = cat( [model_inputs.input_ids, full_like(model_inputs.input_ids, BigInt(generation_config.pad_token_id))], 0 ); model_inputs.attention_mask = cat( [model_inputs.attention_mask, full_like(model_inputs.attention_mask, 0n)], 0 ); } } if (has_past_key_values || !model_inputs.pixel_values) { model_inputs.pixel_values = full([0, 0, 3, 384, 384], 1); } if (has_past_key_values) { const num_img_tokens = 0; const num_text_tokens = 1; const has_image = num_img_tokens > 0 ? 1 : 0; const batch_size = 1; model_inputs.images_seq_mask = new Tensor2( "bool", new Array(num_img_tokens + num_text_tokens).fill(true).fill(false, 0, num_text_tokens), [batch_size, num_img_tokens + num_text_tokens] ); model_inputs.images_emb_mask = new Tensor2("bool", new Array(num_img_tokens).fill(!!has_image), [ batch_size, 1, num_img_tokens ]); } return model_inputs; } /** * @param {import('../../generation/parameters.js').GenerationFunctionParameters} options */ async generate(options) { this._generation_mode = "text"; return super.generate(options); } /** * @param {import('../../generation/parameters.js').GenerationFunctionParameters} options */ async generate_images(options) { this._generation_mode = "image"; const start_num_tokens = ( /** @type {Tensor} */ (options.inputs ?? options[this.main_input_name]).dims[1] ); const all_tokens = await super.generate(options); const generated_tokens = ( /** @type {Tensor} */ all_tokens.slice(null, [start_num_tokens, null]) ); const image_decode = this.sessions["image_decode"]; const { decoded_image } = await sessionRun(image_decode, { generated_tokens }); const clamped = decoded_image.add_(1).mul_(255 / 2).clamp_(0, 255).to("uint8"); const images = []; for (const tensor of clamped) { const img = RawImage.fromTensor(tensor); images.push(img); } return images; } }; var MusicgenPreTrainedModel = class extends PreTrainedModel { }; var MusicgenModel = class extends MusicgenPreTrainedModel { }; var MusicgenForCausalLM = class extends MusicgenPreTrainedModel { }; var MusicgenForConditionalGeneration = class extends PreTrainedModel { // NOTE: not MusicgenPreTrainedModel forward_params = [ "input_ids", "attention_mask", "encoder_outputs", "decoder_input_ids", "decoder_attention_mask", "past_key_values" ]; /** * Apply the pattern mask to the final ids, * then revert the pattern delay mask by filtering the pad token id in a single step. * @param {Tensor} outputs The output tensor from the model. * @returns {Tensor} The filtered output tensor. */ _apply_and_filter_by_delay_pattern_mask(outputs) { const [bs_x_codebooks, seqLength] = outputs.dims; const num_codebooks = this.config.decoder.num_codebooks; const upperBound = seqLength - num_codebooks; let newDataSize = 0; for (let i = 0; i < outputs.size; ++i) { if (outputs.data[i] == this.config.decoder.pad_token_id) { continue; } const row = i % seqLength; const col = Math.floor(i / seqLength) % num_codebooks; const diff = row - col; if (diff > 0 && diff <= upperBound) { outputs.data[newDataSize++] = outputs.data[i]; } } const batch_size = Math.floor(bs_x_codebooks / num_codebooks); const inferred = newDataSize / (batch_size * num_codebooks); return new Tensor2(outputs.type, outputs.data.slice(0, newDataSize), [batch_size, num_codebooks, inferred]); } prepare_inputs_for_generation(input_ids, model_inputs, generation_config) { const pad_token_id = BigInt(this.config.decoder.pad_token_id); let clonedInputIds = structuredClone(input_ids); for (let i = 0; i < clonedInputIds.length; ++i) { for (let j = 0; j < clonedInputIds[i].length; ++j) { if (i % this.config.decoder.num_codebooks >= j) { clonedInputIds[i][j] = pad_token_id; } } } if (generation_config.guidance_scale !== null && generation_config.guidance_scale > 1) { clonedInputIds = clonedInputIds.concat(clonedInputIds); } return encoder_decoder_prepare_inputs_for_generation(this, clonedInputIds, model_inputs, generation_config); } /** * Generates sequences of token ids for models with a language modeling head. * @param {import('../../generation/parameters.js').GenerationFunctionParameters} options * @returns {Promise} The output of the model, which can contain the generated token ids, attentions, and scores. */ async generate(options) { const output_ids = await super.generate(options); const audio_codes = this._apply_and_filter_by_delay_pattern_mask( /** @type {Tensor} */ output_ids ).unsqueeze_( 0 ); const { audio_values } = await sessionRun(this.sessions["encodec_decode"], { audio_codes }); return audio_values; } }; var NanoChatPreTrainedModel = class extends PreTrainedModel { }; var NanoChatModel = class extends NanoChatPreTrainedModel { }; var NanoChatForCausalLM = class extends NanoChatPreTrainedModel { }; var NemotronHPreTrainedModel = class extends PreTrainedModel { }; var NemotronHModel = class extends NemotronHPreTrainedModel { }; var NemotronHForCausalLM = class extends NemotronHPreTrainedModel { }; var NeoBertPreTrainedModel = class extends PreTrainedModel { }; var NeoBertModel = class extends NeoBertPreTrainedModel { }; var NeoBertForMaskedLM = class extends NeoBertPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for masked language modeling. */ async _call(model_inputs) { return new MaskedLMOutput(await super._call(model_inputs)); } }; var NeoBertForSequenceClassification = class extends NeoBertPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for sequence classification. */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var NeoBertForTokenClassification = class extends NeoBertPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for token classification. */ async _call(model_inputs) { return new TokenClassifierOutput(await super._call(model_inputs)); } }; var NeoBertForQuestionAnswering = class extends NeoBertPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for question answering. */ async _call(model_inputs) { return new QuestionAnsweringModelOutput(await super._call(model_inputs)); } }; var NomicBertPreTrainedModel = class extends PreTrainedModel { }; var NomicBertModel = class extends NomicBertPreTrainedModel { }; var OlmoPreTrainedModel = class extends PreTrainedModel { }; var OlmoModel = class extends OlmoPreTrainedModel { }; var OlmoForCausalLM = class extends OlmoPreTrainedModel { }; var Olmo2PreTrainedModel = class extends PreTrainedModel { }; var Olmo2Model = class extends Olmo2PreTrainedModel { }; var Olmo2ForCausalLM = class extends Olmo2PreTrainedModel { }; var Olmo3PreTrainedModel = class extends PreTrainedModel { }; var Olmo3Model = class extends Olmo3PreTrainedModel { }; var Olmo3ForCausalLM = class extends Olmo3PreTrainedModel { }; var OlmoHybridPreTrainedModel = class extends PreTrainedModel { }; var OlmoHybridModel = class extends OlmoHybridPreTrainedModel { }; var OlmoHybridForCausalLM = class extends OlmoHybridPreTrainedModel { }; var OpenAIPrivacyFilterPreTrainedModel = class extends PreTrainedModel { }; var OpenAIPrivacyFilterModel = class extends OpenAIPrivacyFilterPreTrainedModel { }; var OpenAIPrivacyFilterForTokenClassification = class extends OpenAIPrivacyFilterPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for sequence classification. */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var OpenELMPreTrainedModel = class extends PreTrainedModel { }; var OpenELMModel = class extends OpenELMPreTrainedModel { }; var OpenELMForCausalLM = class extends OpenELMPreTrainedModel { }; var OPTPreTrainedModel = class extends PreTrainedModel { }; var OPTModel = class extends OPTPreTrainedModel { }; var OPTForCausalLM = class extends OPTPreTrainedModel { }; var Owlv2PreTrainedModel = class extends PreTrainedModel { }; var Owlv2Model = class extends Owlv2PreTrainedModel { }; var Owlv2ForObjectDetection = class extends Owlv2PreTrainedModel { }; var OwlViTPreTrainedModel = class extends PreTrainedModel { }; var OwlViTModel = class extends OwlViTPreTrainedModel { }; var OwlViTForObjectDetection = class extends OwlViTPreTrainedModel { }; var PaliGemmaForConditionalGeneration = class extends LlavaForConditionalGeneration { }; var ParakeetPreTrainedModel = class extends PreTrainedModel { }; var ParakeetForCTC = class extends ParakeetPreTrainedModel { /** * @param {Object} model_inputs * @param {Tensor} model_inputs.input_values Float values of input raw speech waveform. * @param {Tensor} model_inputs.attention_mask Mask to avoid performing convolution and attention on padding token indices. Mask values selected in [0, 1] */ async _call(model_inputs) { return new CausalLMOutput(await super._call(model_inputs)); } }; var PatchTSMixerPreTrainedModel = class extends PreTrainedModel { }; var PatchTSMixerModel = class extends PatchTSMixerPreTrainedModel { }; var PatchTSMixerForPrediction = class extends PatchTSMixerPreTrainedModel { }; var PatchTSTPreTrainedModel = class extends PreTrainedModel { }; var PatchTSTModel = class extends PatchTSTPreTrainedModel { }; var PatchTSTForPrediction = class extends PatchTSTPreTrainedModel { }; var PhiPreTrainedModel = class extends PreTrainedModel { }; var PhiModel = class extends PhiPreTrainedModel { }; var PhiForCausalLM = class extends PhiPreTrainedModel { }; var Phi3PreTrainedModel = class extends PreTrainedModel { }; var Phi3Model = class extends Phi3PreTrainedModel { }; var Phi3ForCausalLM = class extends Phi3PreTrainedModel { }; var Phi3VPreTrainedModel = class extends PreTrainedModel { forward_params = [ "input_ids", "inputs_embeds", "attention_mask", "position_ids", "pixel_values", "image_sizes", "past_key_values" ]; }; var Phi3VForCausalLM = class extends Phi3VPreTrainedModel { async forward({ // Produced by the tokenizer/processor: input_ids = null, attention_mask = null, pixel_values = null, image_sizes = null, // Used during generation: position_ids = null, inputs_embeds = null, past_key_values = null, // Generic generation parameters generation_config = null, logits_processor = null, // TODO: needed? ...kwargs }) { if (!inputs_embeds) { let image_features; if (pixel_values && input_ids.dims[1] !== 1) { if (!image_sizes) { throw new Error("`image_sizes` must be provided when `pixel_values` is provided."); } ({ image_features } = await sessionRun(this.sessions["vision_encoder"], { pixel_values, image_sizes })); } else { const hidden_size = this.config.normalized_config.hidden_size; image_features = new Tensor2("float32", [], [0, hidden_size]); } ({ inputs_embeds } = await sessionRun(this.sessions["prepare_inputs_embeds"], { input_ids, image_features })); } const outputs = await decoder_forward( this, { inputs_embeds, past_key_values, attention_mask, position_ids, generation_config, logits_processor }, false ); return outputs; } }; var PvtPreTrainedModel = class extends PreTrainedModel { }; var PvtModel = class extends PvtPreTrainedModel { }; var PvtForImageClassification = class extends PvtPreTrainedModel { /** * @param {any} model_inputs */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var PyAnnotePreTrainedModel = class extends PreTrainedModel { }; var PyAnnoteModel = class extends PyAnnotePreTrainedModel { }; var PyAnnoteForAudioFrameClassification = class extends PyAnnotePreTrainedModel { /** * Calls the model on new inputs. * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for sequence classification. */ async _call(model_inputs) { return new TokenClassifierOutput(await super._call(model_inputs)); } }; var Qwen2PreTrainedModel = class extends PreTrainedModel { }; var Qwen2Model = class extends Qwen2PreTrainedModel { }; var Qwen2ForCausalLM = class extends Qwen2PreTrainedModel { }; var Qwen2MoePreTrainedModel = class extends PreTrainedModel { }; var Qwen2MoeModel = class extends Qwen2MoePreTrainedModel { }; var Qwen2MoeForCausalLM = class extends Qwen2MoePreTrainedModel { }; var Qwen3PreTrainedModel = class extends PreTrainedModel { }; var Qwen3Model = class extends Qwen3PreTrainedModel { }; var Qwen3ForCausalLM = class extends Qwen3PreTrainedModel { }; var Qwen3MoePreTrainedModel = class extends PreTrainedModel { }; var Qwen3MoeModel = class extends Qwen3MoePreTrainedModel { }; var Qwen3MoeForCausalLM = class extends Qwen3MoePreTrainedModel { }; var Qwen3NextPreTrainedModel = class extends PreTrainedModel { }; var Qwen3NextModel = class extends Qwen3NextPreTrainedModel { }; var Qwen3NextForCausalLM = class extends Qwen3NextPreTrainedModel { }; var Qwen3VLForConditionalGeneration = class extends Qwen2_5_VLForConditionalGeneration { }; var Qwen3VLForCausalLM = class extends Qwen2_5_VLForCausalLM { }; var Qwen3VLMoeForConditionalGeneration = class extends Qwen3VLForConditionalGeneration { }; var Qwen3VLMoeForCausalLM = class extends Qwen3VLForCausalLM { }; var Qwen3_5ForConditionalGeneration = class extends Qwen3VLForConditionalGeneration { }; var Qwen3_5ForCausalLM = class extends Qwen3_5ForConditionalGeneration { }; var Qwen3_5MoeForConditionalGeneration = class extends Qwen3_5ForConditionalGeneration { }; var Qwen3_5MoeForCausalLM = class extends Qwen3_5ForCausalLM { }; var ResNetPreTrainedModel = class extends PreTrainedModel { }; var ResNetModel = class extends ResNetPreTrainedModel { }; var ResNetForImageClassification = class extends ResNetPreTrainedModel { /** * @param {any} model_inputs */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var RFDetrPreTrainedModel = class extends PreTrainedModel { }; var RFDetrModel = class extends RFDetrPreTrainedModel { }; var RFDetrForObjectDetection = class extends RFDetrPreTrainedModel { /** * @param {any} model_inputs */ async _call(model_inputs) { return new RFDetrObjectDetectionOutput(await super._call(model_inputs)); } }; var RFDetrObjectDetectionOutput = class extends RTDetrObjectDetectionOutput { }; var RobertaPreTrainedModel = class extends PreTrainedModel { }; var RobertaModel = class extends RobertaPreTrainedModel { }; var RobertaForMaskedLM = class extends RobertaPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} returned object */ async _call(model_inputs) { return new MaskedLMOutput(await super._call(model_inputs)); } }; var RobertaForSequenceClassification = class extends RobertaPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} returned object */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var RobertaForTokenClassification = class extends RobertaPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for token classification. */ async _call(model_inputs) { return new TokenClassifierOutput(await super._call(model_inputs)); } }; var RobertaForQuestionAnswering = class extends RobertaPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} returned object */ async _call(model_inputs) { return new QuestionAnsweringModelOutput(await super._call(model_inputs)); } }; var RoFormerPreTrainedModel = class extends PreTrainedModel { }; var RoFormerModel = class extends RoFormerPreTrainedModel { }; var RoFormerForMaskedLM = class extends RoFormerPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for masked language modeling. */ async _call(model_inputs) { return new MaskedLMOutput(await super._call(model_inputs)); } }; var RoFormerForSequenceClassification = class extends RoFormerPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for sequence classification. */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var RoFormerForTokenClassification = class extends RoFormerPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for token classification. */ async _call(model_inputs) { return new TokenClassifierOutput(await super._call(model_inputs)); } }; var RoFormerForQuestionAnswering = class extends RoFormerPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for question answering. */ async _call(model_inputs) { return new QuestionAnsweringModelOutput(await super._call(model_inputs)); } }; var RTDetrV2PreTrainedModel = class extends PreTrainedModel { }; var RTDetrV2Model = class extends RTDetrV2PreTrainedModel { }; var RTDetrV2ForObjectDetection = class extends RTDetrV2PreTrainedModel { /** * @param {any} model_inputs */ async _call(model_inputs) { return new RTDetrV2ObjectDetectionOutput(await super._call(model_inputs)); } }; var RTDetrV2ObjectDetectionOutput = class extends RTDetrObjectDetectionOutput { }; var SamImageSegmentationOutput = class extends ModelOutput { /** * @param {Object} output The output of the model. * @param {Tensor} output.iou_scores The output logits of the model. * @param {Tensor} output.pred_masks Predicted boxes. */ constructor({ iou_scores, pred_masks }) { super(); this.iou_scores = iou_scores; this.pred_masks = pred_masks; } }; var SamPreTrainedModel = class extends PreTrainedModel { }; var SamModel = class extends SamPreTrainedModel { /** * Compute image embeddings and positional image embeddings, given the pixel values of an image. * @param {Object} model_inputs Object containing the model inputs. * @param {Tensor} model_inputs.pixel_values Pixel values obtained using a `SamProcessor`. * @returns {Promise<{ image_embeddings: Tensor, image_positional_embeddings: Tensor }>} The image embeddings and positional image embeddings. */ async get_image_embeddings({ pixel_values }) { return await encoder_forward(this, { pixel_values }); } /** * @typedef {Object} SamModelInputs Object containing the model inputs. * @property {Tensor} pixel_values Pixel values as a Tensor with shape `(batch_size, num_channels, height, width)`. * These can be obtained using a `SamProcessor`. * @property {Tensor} [input_points] Input 2D spatial points with shape `(batch_size, num_points, 2)`. * This is used by the prompt encoder to encode the prompt. * @property {Tensor} [input_labels] Input labels for the points, as a Tensor of shape `(batch_size, point_batch_size, num_points)`. * This is used by the prompt encoder to encode the prompt. There are 4 types of labels: * - `1`: the point is a point that contains the object of interest * - `0`: the point is a point that does not contain the object of interest * - `-1`: the point corresponds to the background * - `-10`: the point is a padding point, thus should be ignored by the prompt encoder * @property {Tensor} [input_boxes] Input bounding boxes with shape `(batch_size, num_boxes, 4)`. * @property {Tensor} [image_embeddings] Image embeddings used by the mask decoder. * @property {Tensor} [image_positional_embeddings] Image positional embeddings used by the mask decoder. */ /** * @param {SamModelInputs} model_inputs Object containing the model inputs. * @returns {Promise} The output of the model. */ async forward(model_inputs) { if (!model_inputs.image_embeddings || !model_inputs.image_positional_embeddings) { model_inputs = { ...model_inputs, ...await this.get_image_embeddings(model_inputs) }; } else { model_inputs = { ...model_inputs }; } model_inputs.input_labels ??= ones(model_inputs.input_points.dims.slice(0, -1)); const decoder_inputs = { image_embeddings: model_inputs.image_embeddings, image_positional_embeddings: model_inputs.image_positional_embeddings }; if (model_inputs.input_points) { decoder_inputs.input_points = model_inputs.input_points; } if (model_inputs.input_labels) { decoder_inputs.input_labels = model_inputs.input_labels; } if (model_inputs.input_boxes) { decoder_inputs.input_boxes = model_inputs.input_boxes; } return await sessionRun(this.sessions["prompt_encoder_mask_decoder"], decoder_inputs); } /** * Runs the model with the provided inputs * @param {Object} model_inputs Model inputs * @returns {Promise} Object containing segmentation outputs */ async _call(model_inputs) { return new SamImageSegmentationOutput(await super._call(model_inputs)); } }; var Sam2ImageSegmentationOutput = class extends ModelOutput { /** * @param {Object} output The output of the model. * @param {Tensor} output.iou_scores The output logits of the model. * @param {Tensor} output.pred_masks Predicted boxes. * @param {Tensor} output.object_score_logits Logits for the object score, indicating if an object is present. */ constructor({ iou_scores, pred_masks, object_score_logits }) { super(); this.iou_scores = iou_scores; this.pred_masks = pred_masks; this.object_score_logits = object_score_logits; } }; var Sam2PreTrainedModel = class extends PreTrainedModel { }; var Sam2Model = class extends Sam2PreTrainedModel { /** * Compute image embeddings and positional image embeddings, given the pixel values of an image. * @param {Object} model_inputs Object containing the model inputs. * @param {Tensor} model_inputs.pixel_values Pixel values obtained using a `Sam2Processor`. * @returns {Promise>} The image embeddings. */ async get_image_embeddings({ pixel_values }) { return await encoder_forward(this, { pixel_values }); } async forward(model_inputs) { const { num_feature_levels } = this.config.vision_config; const image_embeddings_name = Array.from({ length: num_feature_levels }, (_, i) => `image_embeddings.${i}`); if (image_embeddings_name.some((name) => !model_inputs[name])) { model_inputs = { ...model_inputs, ...await this.get_image_embeddings(model_inputs) }; } else { model_inputs = { ...model_inputs }; } if (model_inputs.input_points) { if (model_inputs.input_boxes && model_inputs.input_boxes.dims[1] !== 1) { throw new Error( "When both `input_points` and `input_boxes` are provided, the number of boxes per image must be 1." ); } const shape = model_inputs.input_points.dims; model_inputs.input_labels ??= ones(shape.slice(0, -1)); model_inputs.input_boxes ??= full([shape[0], 0, 4], 0); } else if (model_inputs.input_boxes) { const shape = model_inputs.input_boxes.dims; model_inputs.input_labels = full([shape[0], shape[1], 0], -1n); model_inputs.input_points = full([shape[0], 1, 0, 2], 0); } else { throw new Error("At least one of `input_points` or `input_boxes` must be provided."); } const prompt_encoder_mask_decoder_session = this.sessions["prompt_encoder_mask_decoder"]; const decoder_inputs = pick(model_inputs, prompt_encoder_mask_decoder_session.inputNames); return await sessionRun(prompt_encoder_mask_decoder_session, decoder_inputs); } /** * Runs the model with the provided inputs * @param {Object} model_inputs Model inputs * @returns {Promise} Object containing segmentation outputs */ async _call(model_inputs) { return new Sam2ImageSegmentationOutput(await super._call(model_inputs)); } }; var EdgeTamModel = class extends Sam2Model { }; var Sam3TrackerModel = class extends Sam2Model { }; var SapiensPreTrainedModel = class extends PreTrainedModel { }; var SapiensForSemanticSegmentation = class extends SapiensPreTrainedModel { }; var SapiensForDepthEstimation = class extends SapiensPreTrainedModel { }; var SapiensForNormalEstimation = class extends SapiensPreTrainedModel { }; var SegformerPreTrainedModel = class extends PreTrainedModel { }; var SegformerModel = class extends SegformerPreTrainedModel { }; var SegformerForImageClassification = class extends SegformerPreTrainedModel { }; var SegformerForSemanticSegmentation = class extends SegformerPreTrainedModel { }; var SiglipPreTrainedModel = class extends PreTrainedModel { }; var SiglipModel = class extends SiglipPreTrainedModel { }; var SiglipTextModel = class extends SiglipPreTrainedModel { /** @type {typeof PreTrainedModel.from_pretrained} */ static async from_pretrained(pretrained_model_name_or_path, options = {}) { return super.from_pretrained(pretrained_model_name_or_path, { ...options, // Update default model file name if not provided model_file_name: options.model_file_name ?? "text_model" }); } }; var SiglipVisionModel = class extends CLIPPreTrainedModel { /** @type {typeof PreTrainedModel.from_pretrained} */ static async from_pretrained(pretrained_model_name_or_path, options = {}) { return super.from_pretrained(pretrained_model_name_or_path, { ...options, // Update default model file name if not provided model_file_name: options.model_file_name ?? "vision_model" }); } }; var SmolLM3PreTrainedModel = class extends PreTrainedModel { }; var SmolLM3Model = class extends SmolLM3PreTrainedModel { }; var SmolLM3ForCausalLM = class extends SmolLM3PreTrainedModel { }; var SmolVLMForConditionalGeneration = class extends Idefics3ForConditionalGeneration { }; var SnacPreTrainedModel = class extends PreTrainedModel { main_input_name = "input_values"; forward_params = ["input_values"]; }; var SnacModel = class extends SnacPreTrainedModel { /** * Encodes the input audio waveform into discrete codes. * @param {Object} inputs Model inputs * @param {Tensor} [inputs.input_values] Float values of the input audio waveform, of shape `(batch_size, channels, sequence_length)`). * @returns {Promise>} The output tensors of shape `(batch_size, num_codebooks, sequence_length)`. */ async encode(inputs) { return await sessionRun(this.sessions["encoder_model"], inputs); } /** * Decodes the given frames into an output audio waveform. * @param {Record} inputs The encoded audio codes. * @returns {Promise<{audio_values: Tensor}>} The output tensor of shape `(batch_size, num_channels, sequence_length)`. */ async decode(inputs) { return await sessionRun(this.sessions["decoder_model"], inputs); } }; var SnacEncoderModel = class extends SnacPreTrainedModel { /** @type {typeof PreTrainedModel.from_pretrained} */ static async from_pretrained(pretrained_model_name_or_path, options = {}) { return super.from_pretrained(pretrained_model_name_or_path, { ...options, // Update default model file name if not provided model_file_name: options.model_file_name ?? "encoder_model" }); } }; var SnacDecoderModel = class extends SnacPreTrainedModel { /** @type {typeof PreTrainedModel.from_pretrained} */ static async from_pretrained(pretrained_model_name_or_path, options = {}) { return super.from_pretrained(pretrained_model_name_or_path, { ...options, // Update default model file name if not provided model_file_name: options.model_file_name ?? "decoder_model" }); } }; var SolarOpenPreTrainedModel = class extends PreTrainedModel { }; var SolarOpenModel = class extends SolarOpenPreTrainedModel { }; var SolarOpenForCausalLM = class extends SolarOpenPreTrainedModel { }; var SpeechT5PreTrainedModel = class extends PreTrainedModel { }; var SpeechT5Model = class extends SpeechT5PreTrainedModel { }; var SpeechT5ForSpeechToText = class extends SpeechT5PreTrainedModel { }; var SpeechT5ForTextToSpeech = class extends SpeechT5PreTrainedModel { /** * @typedef {Object} SpeechOutput * @property {Tensor} [spectrogram] The predicted log-mel spectrogram of shape * `(output_sequence_length, config.num_mel_bins)`. Returned when no `vocoder` is provided * @property {Tensor} [waveform] The predicted waveform of shape `(num_frames,)`. Returned when a `vocoder` is provided. * @property {Tensor} [cross_attentions] The outputs of the decoder's cross-attention layers of shape * `(config.decoder_layers, config.decoder_attention_heads, output_sequence_length, input_sequence_length)`. returned when `output_cross_attentions` is `true`. */ /** * Converts a sequence of input tokens into a sequence of mel spectrograms, which are subsequently turned into a speech waveform using a vocoder. * @param {Tensor} input_values Indices of input sequence tokens in the vocabulary. * @param {Tensor} speaker_embeddings Tensor containing the speaker embeddings. * @param {Object} options Optional parameters for generating speech. * @param {number} [options.threshold=0.5] The generated sequence ends when the predicted stop token probability exceeds this value. * @param {number} [options.minlenratio=0.0] Used to calculate the minimum required length for the output sequence. * @param {number} [options.maxlenratio=20.0] Used to calculate the maximum allowed length for the output sequence. * @param {Object} [options.vocoder=null] The vocoder that converts the mel spectrogram into a speech waveform. If `null`, the output is the mel spectrogram. * @param {boolean} [options.output_cross_attentions=false] Whether or not to return the attentions tensors of the decoder's cross-attention layers. * @returns {Promise} A promise which resolves to an object containing the spectrogram, waveform, and cross-attention tensors. */ async generate_speech(input_values, speaker_embeddings, { threshold = 0.5, minlenratio = 0, maxlenratio = 20, vocoder = null // output_cross_attentions = false, // TODO add } = {}) { const model_inputs = { input_ids: input_values }; const { encoder_outputs, encoder_attention_mask } = await encoder_forward(this, model_inputs); const r = encoder_outputs.dims[1] / this.config.reduction_factor; const maxlen = Math.floor(r * maxlenratio); const minlen = Math.floor(r * minlenratio); const num_mel_bins = this.config.num_mel_bins; let spectrogramParts = []; let past_key_values = null; let decoder_outputs = null; let idx = 0; while (true) { ++idx; const use_cache_branch = boolTensor(!!decoder_outputs); let output_sequence; if (decoder_outputs) { output_sequence = decoder_outputs.output_sequence_out; } else { output_sequence = new Tensor2("float32", new Float32Array(num_mel_bins), [1, 1, num_mel_bins]); } let decoderFeeds = { use_cache_branch, output_sequence, encoder_attention_mask, speaker_embeddings, encoder_hidden_states: encoder_outputs }; addPastKeyValues(this, decoderFeeds, past_key_values); decoder_outputs = await sessionRun(this.sessions["decoder_model_merged"], decoderFeeds); past_key_values = getPastKeyValues(decoder_outputs, past_key_values); const { prob, spectrum } = decoder_outputs; spectrogramParts.push(spectrum); if (idx >= minlen && // Finished when stop token or maximum length is reached. (Array.from(prob.data).filter((p) => p >= threshold).length > 0 || idx >= maxlen)) { break; } } const spectrogram2 = cat(spectrogramParts); const { waveform } = await sessionRun(vocoder.sessions["model"], { spectrogram: spectrogram2 }); return { spectrogram: spectrogram2, waveform // cross_attentions: null, // TODO add }; } }; var SpeechT5HifiGan = class extends PreTrainedModel { main_input_name = "spectrogram"; }; var SqueezeBertPreTrainedModel = class extends PreTrainedModel { }; var SqueezeBertModel = class extends SqueezeBertPreTrainedModel { }; var SqueezeBertForMaskedLM = class extends SqueezeBertPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} returned object */ async _call(model_inputs) { return new MaskedLMOutput(await super._call(model_inputs)); } }; var SqueezeBertForSequenceClassification = class extends SqueezeBertPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} returned object */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var SqueezeBertForQuestionAnswering = class extends SqueezeBertPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} returned object */ async _call(model_inputs) { return new QuestionAnsweringModelOutput(await super._call(model_inputs)); } }; var StableLmPreTrainedModel = class extends PreTrainedModel { }; var StableLmModel = class extends StableLmPreTrainedModel { }; var StableLmForCausalLM = class extends StableLmPreTrainedModel { }; var Starcoder2PreTrainedModel = class extends PreTrainedModel { }; var Starcoder2Model = class extends Starcoder2PreTrainedModel { }; var Starcoder2ForCausalLM = class extends Starcoder2PreTrainedModel { }; var StyleTextToSpeech2PreTrainedModel = class extends PreTrainedModel { }; var StyleTextToSpeech2Model = class extends StyleTextToSpeech2PreTrainedModel { }; var SupertonicPreTrainedModel = class extends PreTrainedModel { }; var SupertonicForConditionalGeneration = class extends SupertonicPreTrainedModel { async generate_speech({ // Required inputs input_ids, attention_mask, style, // Optional inputs num_inference_steps = 5, speed = 1.05 }) { const { sampling_rate, chunk_compress_factor, base_chunk_size, latent_dim } = this.config; const { last_hidden_state, durations: raw_durations } = await sessionRun(this.sessions["text_encoder"], { input_ids, attention_mask, style }); const durations = raw_durations.div(speed).mul_(sampling_rate); const latent_size = base_chunk_size * chunk_compress_factor; const durationsData = ( /** @type {Float32Array} */ durations.data ); const latentLengths = Int32Array.from(durationsData, (d) => Math.ceil(d / latent_size)); const maxLatentLen = Math.max(...latentLengths); const batch_size = input_ids.dims[0]; const latentMaskData = new BigInt64Array(batch_size * maxLatentLen); for (let i = 0; i < batch_size; ++i) { latentMaskData.fill(1n, i * maxLatentLen, i * maxLatentLen + latentLengths[i]); } const latent_mask = new Tensor2("int64", latentMaskData, [batch_size, maxLatentLen]); const latentChannels = latent_dim * chunk_compress_factor; const latentStride = latentChannels * maxLatentLen; let noisy_latents = randn([batch_size, latentChannels, maxLatentLen]); const latentsData = ( /** @type {Float32Array} */ noisy_latents.data ); for (let i = 0; i < batch_size; ++i) { if (latentLengths[i] === maxLatentLen) continue; for (let c = 0; c < latentChannels; ++c) { latentsData.fill( 0, i * latentStride + c * maxLatentLen + latentLengths[i], i * latentStride + (c + 1) * maxLatentLen ); } } const num_steps = full([batch_size], num_inference_steps); for (let step = 0; step < num_inference_steps; ++step) { const timestep = full([batch_size], step); ({ denoised_latents: noisy_latents } = await sessionRun(this.sessions["latent_denoiser"], { style, noisy_latents, latent_mask, encoder_outputs: last_hidden_state, attention_mask, timestep, num_inference_steps: num_steps })); } const { waveform } = await sessionRun(this.sessions["voice_decoder"], { latents: noisy_latents }); return { waveform, durations }; } }; var SwinPreTrainedModel = class extends PreTrainedModel { }; var SwinModel = class extends SwinPreTrainedModel { }; var SwinForImageClassification = class extends SwinPreTrainedModel { /** * @param {any} model_inputs */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var SwinForSemanticSegmentation = class extends SwinPreTrainedModel { }; var Swin2SRPreTrainedModel = class extends PreTrainedModel { }; var Swin2SRModel = class extends Swin2SRPreTrainedModel { }; var Swin2SRForImageSuperResolution = class extends Swin2SRPreTrainedModel { }; var T5PreTrainedModel = class extends PreTrainedModel { forward_params = [ "input_ids", "attention_mask", "encoder_outputs", "decoder_input_ids", "decoder_attention_mask", "past_key_values" ]; }; var T5Model = class extends T5PreTrainedModel { }; var T5ForConditionalGeneration = class extends T5PreTrainedModel { }; var TableTransformerPreTrainedModel = class extends PreTrainedModel { }; var TableTransformerModel = class extends TableTransformerPreTrainedModel { }; var TableTransformerForObjectDetection = class extends TableTransformerPreTrainedModel { /** * @param {any} model_inputs */ async _call(model_inputs) { return new TableTransformerObjectDetectionOutput(await super._call(model_inputs)); } }; var TableTransformerObjectDetectionOutput = class extends DetrObjectDetectionOutput { }; var TrOCRPreTrainedModel = class extends PreTrainedModel { }; var TrOCRForCausalLM = class extends TrOCRPreTrainedModel { }; var UniSpeechPreTrainedModel = class extends PreTrainedModel { }; var UniSpeechModel = class extends UniSpeechPreTrainedModel { }; var UniSpeechForCTC = class extends UniSpeechPreTrainedModel { /** * @param {Object} model_inputs * @param {Tensor} model_inputs.input_values Float values of input raw speech waveform. * @param {Tensor} model_inputs.attention_mask Mask to avoid performing convolution and attention on padding token indices. Mask values selected in [0, 1] */ async _call(model_inputs) { return new CausalLMOutput(await super._call(model_inputs)); } }; var UniSpeechForSequenceClassification = class extends UniSpeechPreTrainedModel { /** * Calls the model on new inputs. * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for sequence classification. */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var UniSpeechSatPreTrainedModel = class extends PreTrainedModel { }; var UniSpeechSatModel = class extends UniSpeechSatPreTrainedModel { }; var UniSpeechSatForCTC = class extends UniSpeechSatPreTrainedModel { /** * @param {Object} model_inputs * @param {Tensor} model_inputs.input_values Float values of input raw speech waveform. * @param {Tensor} model_inputs.attention_mask Mask to avoid performing convolution and attention on padding token indices. Mask values selected in [0, 1] */ async _call(model_inputs) { return new CausalLMOutput(await super._call(model_inputs)); } }; var UniSpeechSatForSequenceClassification = class extends UniSpeechSatPreTrainedModel { /** * Calls the model on new inputs. * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for sequence classification. */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var UniSpeechSatForAudioFrameClassification = class extends UniSpeechSatPreTrainedModel { /** * Calls the model on new inputs. * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for sequence classification. */ async _call(model_inputs) { return new TokenClassifierOutput(await super._call(model_inputs)); } }; var VaultGemmaPreTrainedModel = class extends PreTrainedModel { }; var VaultGemmaModel = class extends VaultGemmaPreTrainedModel { }; var VaultGemmaForCausalLM = class extends VaultGemmaPreTrainedModel { }; var VisionEncoderDecoderModel = class extends PreTrainedModel { main_input_name = "pixel_values"; forward_params = [ // Encoder inputs "pixel_values", // Decoder inpputs "decoder_input_ids", "encoder_hidden_states", "past_key_values" ]; }; var ViTPreTrainedModel = class extends PreTrainedModel { }; var ViTModel = class extends ViTPreTrainedModel { }; var ViTForImageClassification = class extends ViTPreTrainedModel { /** * @param {any} model_inputs */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var ViTMAEPreTrainedModel = class extends PreTrainedModel { }; var ViTMAEModel = class extends ViTMAEPreTrainedModel { }; var ViTMSNPreTrainedModel = class extends PreTrainedModel { }; var ViTMSNModel = class extends ViTMSNPreTrainedModel { }; var ViTMSNForImageClassification = class extends ViTMSNPreTrainedModel { /** * @param {any} model_inputs */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var VitMattePreTrainedModel = class extends PreTrainedModel { }; var VitMatteForImageMatting = class extends VitMattePreTrainedModel { /** * @param {any} model_inputs */ async _call(model_inputs) { return new ImageMattingOutput(await super._call(model_inputs)); } }; var VitPosePreTrainedModel = class extends PreTrainedModel { }; var VitPoseForPoseEstimation = class extends VitPosePreTrainedModel { }; var VitsModelOutput = class extends ModelOutput { /** * @typedef {import('../../utils/tensor.js').Tensor} Tensor */ /** * @param {Object} output The output of the model. * @param {Tensor} output.waveform The final audio waveform predicted by the model, of shape `(batch_size, sequence_length)`. * @param {Tensor} output.spectrogram The log-mel spectrogram predicted at the output of the flow model. * This spectrogram is passed to the Hi-Fi GAN decoder model to obtain the final audio waveform. */ constructor({ waveform, spectrogram: spectrogram2 }) { super(); this.waveform = waveform; this.spectrogram = spectrogram2; } }; var VitsPreTrainedModel = class extends PreTrainedModel { }; var VitsModel = class extends VitsPreTrainedModel { /** * Calls the model on new inputs. * @param {Object} model_inputs The inputs to the model. * @returns {Promise} The outputs for the VITS model. */ async _call(model_inputs) { return new VitsModelOutput(await super._call(model_inputs)); } }; var VoxtralForConditionalGeneration = class extends UltravoxModel { }; var CONV1_LEFT_PAD = 2; var CONV2_LEFT_PAD = 1; var states = /* @__PURE__ */ new WeakMap(); function createEncoderState(model, input_features) { const { text_config, audio_config } = ( /** @type {any} */ model.config ); const encoder_session = model.sessions["audio_encoder"]; const { num_mel_bins, hidden_size: enc_hidden_size } = audio_config; const PADDING_CACHE_CHANNELS = num_mel_bins + enc_hidden_size; const enc_kv_cache = new DynamicCache(); const enc_names = getCacheNames(audio_config); const enc_symbols = { batch_size: 1 }; let padding_type = "float32"; for (const meta of encoder_session.inputMetadata) { if (meta.name === "past_padding_cache") { padding_type = meta.type; continue; } if (!enc_names.has(meta.name)) continue; const shape = resolveCacheShape(meta.shape, enc_symbols); const size = shape.reduce((a, b) => a * b, 1); const cls = DataTypeMap[meta.type]; enc_kv_cache[meta.name] = new Tensor2(meta.type, new cls(size), shape); } const padding_cls = DataTypeMap[padding_type]; const enc_padding_cache = new Tensor2( padding_type, new padding_cls(PADDING_CACHE_CHANNELS * CONV1_LEFT_PAD), [1, PADDING_CACHE_CHANNELS, CONV1_LEFT_PAD] ); const chunks_iter = input_features[Symbol.asyncIterator]?.() ?? input_features[Symbol.iterator]?.(); if (!chunks_iter) { throw new Error("input_features must be iterable or async iterable"); } return { encoder_session, enc_kv_cache, enc_padding_cache, enc_past_seq_len: 0, audio_embed_queue: [], audio_embed_total_tokens: 0, audio_queue_offset: 0, audio_consumed: 0, stream_exhausted: false, chunks_iter, text_hidden_size: text_config.hidden_size }; } async function encodeChunk(s, chunk_features) { const audio_seq_len = chunk_features.dims[2]; const conv2_output_len = Math.floor((CONV2_LEFT_PAD + audio_seq_len - 3) / 2) + 1; const position_ids = new Tensor2( "int64", BigInt64Array.from({ length: conv2_output_len }, (_, i) => BigInt(s.enc_past_seq_len + i)), [1, conv2_output_len] ); const total_seq_len = s.enc_past_seq_len + conv2_output_len; const attention_mask = ones([1, total_seq_len]); const { audio_embeds, present_padding_cache, ...present_cache } = await sessionRun(s.encoder_session, { input_features: chunk_features, attention_mask, position_ids, past_padding_cache: s.enc_padding_cache, ...s.enc_kv_cache }); if (s.enc_padding_cache.location === "gpu-buffer") { s.enc_padding_cache.dispose(); } s.enc_padding_cache = present_padding_cache; for (const name in present_cache) { if (name.startsWith("present.")) { const pastName = name.replace("present", "past_key_values"); const prev = s.enc_kv_cache[pastName]; if (prev?.location === "gpu-buffer") { prev.dispose(); } s.enc_kv_cache[pastName] = present_cache[name]; } } s.enc_past_seq_len = total_seq_len; return audio_embeds; } async function fillAudioBuffer(s, needed) { while (s.audio_embed_total_tokens < needed && !s.stream_exhausted) { const result = await s.chunks_iter.next(); if (result.done) { s.stream_exhausted = true; break; } const new_embeds = await encodeChunk(s, result.value); s.audio_embed_queue.push({ data: new_embeds.data, tokens: new_embeds.dims[1] }); s.audio_embed_total_tokens += new_embeds.dims[1]; } } function addAudioEmbeddings(s, inputs_embeds, current_len) { if (s.audio_embed_queue.length === 0) return; const embed_data = inputs_embeds.data; let embed_write_pos = 0; let remaining = current_len; while (remaining > 0 && s.audio_embed_queue.length > 0) { const front = s.audio_embed_queue[0]; const available = front.tokens - s.audio_queue_offset; const n = Math.min(remaining, available); const src_offset = s.audio_queue_offset * s.text_hidden_size; for (let i = 0; i < n * s.text_hidden_size; ++i) { embed_data[embed_write_pos * s.text_hidden_size + i] += front.data[src_offset + i]; } embed_write_pos += n; remaining -= n; s.audio_queue_offset += n; if (s.audio_queue_offset >= front.tokens) { s.audio_embed_queue.shift(); s.audio_queue_offset = 0; } } s.audio_consumed += current_len - remaining; } var AudioExhaustedCriteria = class extends StoppingCriteria { constructor(enc_state) { super(); this._s = enc_state; } _call(input_ids) { const done = this._s.stream_exhausted && this._s.audio_embed_queue.length === 0; return input_ids.map(() => done); } }; var VoxtralRealtimePreTrainedModel = class extends PreTrainedModel { forward_params = ["input_ids", "attention_mask", "position_ids", "past_key_values"]; }; var VoxtralRealtimeForConditionalGeneration = class extends VoxtralRealtimePreTrainedModel { async forward({ input_ids, past_key_values, ...kwargs }) { const current_len = input_ids.dims[1]; const enc = states.get(this); if (enc) { await fillAudioBuffer(enc, enc.audio_consumed + current_len); } const { inputs_embeds } = await sessionRun(this.sessions["embed_tokens"], { input_ids }); if (enc) { addAudioEmbeddings(enc, inputs_embeds, current_len); } const decoder_feeds = { inputs_embeds, ...kwargs }; addPastKeyValues(this, decoder_feeds, past_key_values); const session = this.sessions["decoder_model_merged"]; const fixed = pick(decoder_feeds, session.inputNames); return await sessionRun(session, fixed); } async generate({ input_features, stopping_criteria: userStoppingCriteria, ...kwargs }) { if (!input_features) { throw new Error("input_features (generator/iterable) must be provided"); } const enc_state = createEncoderState(this, input_features); states.set(this, enc_state); const stopping_criteria = new StoppingCriteriaList(); stopping_criteria.push(new AudioExhaustedCriteria(enc_state)); if (userStoppingCriteria) stopping_criteria.extend(userStoppingCriteria); try { return await super.generate({ ...kwargs, stopping_criteria }); } finally { enc_state.enc_kv_cache.dispose(); states.delete(this); } } }; var Wav2Vec2BertPreTrainedModel = class extends PreTrainedModel { }; var Wav2Vec2BertModel = class extends Wav2Vec2BertPreTrainedModel { }; var Wav2Vec2BertForCTC = class extends Wav2Vec2BertPreTrainedModel { /** * @param {Object} model_inputs * @param {Tensor} model_inputs.input_features Float values of input mel-spectrogram. * @param {Tensor} model_inputs.attention_mask Mask to avoid performing convolution and attention on padding token indices. Mask values selected in [0, 1] */ async _call(model_inputs) { return new CausalLMOutput(await super._call(model_inputs)); } }; var Wav2Vec2BertForSequenceClassification = class extends Wav2Vec2BertPreTrainedModel { /** * Calls the model on new inputs. * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for sequence classification. */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var XVectorOutput = class extends ModelOutput { /** * @param {Object} output The output of the model. * @param {Tensor} output.logits Classification hidden states before AMSoftmax, of shape `(batch_size, config.xvector_output_dim)`. * @param {Tensor} output.embeddings Utterance embeddings used for vector similarity-based retrieval, of shape `(batch_size, config.xvector_output_dim)`. */ constructor({ logits, embeddings }) { super(); this.logits = logits; this.embeddings = embeddings; } }; var WavLMPreTrainedModel = class extends PreTrainedModel { }; var WavLMModel = class extends WavLMPreTrainedModel { }; var WavLMForCTC = class extends WavLMPreTrainedModel { /** * @param {Object} model_inputs * @param {Tensor} model_inputs.input_values Float values of input raw speech waveform. * @param {Tensor} model_inputs.attention_mask Mask to avoid performing convolution and attention on padding token indices. Mask values selected in [0, 1] */ async _call(model_inputs) { return new CausalLMOutput(await super._call(model_inputs)); } }; var WavLMForSequenceClassification = class extends WavLMPreTrainedModel { /** * Calls the model on new inputs. * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for sequence classification. */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var WavLMForXVector = class extends WavLMPreTrainedModel { /** * Calls the model on new inputs. * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits and speaker embeddings. */ async _call(model_inputs) { return new XVectorOutput(await super._call(model_inputs)); } }; var WavLMForAudioFrameClassification = class extends WavLMPreTrainedModel { /** * Calls the model on new inputs. * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for sequence classification. */ async _call(model_inputs) { return new TokenClassifierOutput(await super._call(model_inputs)); } }; var WeSpeakerResNetPreTrainedModel = class extends PreTrainedModel { }; var WeSpeakerResNetModel = class extends WeSpeakerResNetPreTrainedModel { }; var WhisperGenerationConfig = class extends GenerationConfig { /** * Whether to return the timestamps with the text. This enables the `WhisperTimestampsLogitsProcessor`. * @type {boolean} */ return_timestamps = null; /** * Whether to return token-level timestamps * with the text. This can be used with or without the `return_timestamps` option. To get word-level * timestamps, use the tokenizer to group the tokens into words. * @type {boolean} */ return_token_timestamps = null; /** * The number of audio frames available in this chunk. This is only used generating word-level timestamps. * @type {number} */ num_frames = null; /** * Alignment heads to predict word-level timestamps. This is a list of [layer, head] pairs that * select the cross-attention heads that are highly correlated to word-level timing. * @type {[number, number][]} */ alignment_heads = null; /** * Task to use for generation, either "translate" or "transcribe". * @type {string} */ task = null; /** * Language token to use for generation, can be either in the form of `<|en|>`, `en` or `english`. * You can find all the possible language tokens in the `model.generation_config.lang_to_id` dictionary. * @type {string} */ language = null; /** * The id of the `"<|notimestamps|>"` token. * @type {number} */ no_timestamps_token_id = null; /** * Rank-1 list of token IDs created by passing text to [`~WhisperProcessor.get_prompt_ids`] that is * provided as a prompt to each chunk. This can be used to provide or "prompt-engineer" a context for * transcription, e.g. custom vocabularies or proper nouns to make it more likely to predict those words * correctly. It cannot be used in conjunction with `decoder_start_token_id` as it overwrites this value. * @type {number[]} */ prompt_ids = null; /** * Whether the model is multilingual or not. * @type {boolean} */ is_multilingual = null; /** * (Optional) A mapping from language tokens to their corresponding IDs. * Only required if the model is multilingual. * @type {Record|null} */ lang_to_id = null; /** * (Optional) A mapping from task tokens to their corresponding IDs. * @type {Record|null} */ task_to_id = null; /** * Used to set the maximum value of the initial timestamp. This is used to prevent the model from * predicting timestamps that are too far in the future. * @type {number} */ max_initial_timestamp_index = 1; }; var WhisperPreTrainedModel = class extends PreTrainedModel { requires_attention_mask = false; main_input_name = "input_features"; forward_params = [ "input_features", "attention_mask", "decoder_input_ids", "decoder_attention_mask", "past_key_values" ]; }; var WhisperModel = class extends WhisperPreTrainedModel { }; var WhisperForConditionalGeneration = class extends WhisperPreTrainedModel { _prepare_generation_config(generation_config, kwargs) { return ( /** @type {WhisperGenerationConfig} */ super._prepare_generation_config(generation_config, kwargs, WhisperGenerationConfig) ); } /** * * @param {WhisperGenerationConfig} generation_config */ _retrieve_init_tokens(generation_config) { const init_tokens = [generation_config.decoder_start_token_id]; let language = generation_config.language; const task = generation_config.task; if (generation_config.is_multilingual) { if (!language) { logger.warn("No language specified - defaulting to English (en)."); language = "en"; } const language_code = whisper_language_to_code(language); const language_token = `<|${language_code}|>`; init_tokens.push(generation_config.lang_to_id[language_token]); init_tokens.push(generation_config.task_to_id[task ?? "transcribe"]); } else if (language || task) { throw new Error( "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." ); } if (!generation_config.return_timestamps && generation_config.no_timestamps_token_id && init_tokens.at(-1) !== generation_config.no_timestamps_token_id) { init_tokens.push(generation_config.no_timestamps_token_id); } else if (generation_config.return_timestamps && init_tokens.at(-1) === generation_config.no_timestamps_token_id) { logger.warn( "<|notimestamps|> prompt token is removed from generation_config since `return_timestamps` is set to `true`." ); init_tokens.pop(); } return init_tokens.filter((token) => token != null); } /** * Transcribes or translates log-mel input features to a sequence of auto-regressively generated token ids. * @param {import('./generation_whisper.js').WhisperGenerationFunctionParameters} options * @returns {Promise} The output of the model, which can contain the generated token ids, attentions, and scores. */ async generate({ inputs = null, generation_config = null, logits_processor = null, stopping_criteria = null, // Whisper-specific options (passed to kwargs) // prompt_ids = null, // language = null, // task = null, ...kwargs }) { generation_config = this._prepare_generation_config(generation_config, kwargs); const init_tokens = kwargs.decoder_input_ids instanceof Tensor2 ? prepareTensorForDecode(kwargs.decoder_input_ids) : kwargs.decoder_input_ids ?? this._retrieve_init_tokens(generation_config); if (generation_config.return_timestamps) { logits_processor ??= new LogitsProcessorList(); logits_processor.push(new WhisperTimeStampLogitsProcessor(generation_config, init_tokens)); } if (generation_config.begin_suppress_tokens) { logits_processor ??= new LogitsProcessorList(); logits_processor.push( new SuppressTokensAtBeginLogitsProcessor(generation_config.begin_suppress_tokens, init_tokens.length) ); } if (generation_config.return_token_timestamps) { if (!generation_config.alignment_heads) { throw new Error( "Model generation config has no `alignment_heads`, token-level timestamps not available. See https://gist.github.com/hollance/42e32852f24243b748ae6bc1f985b13a on how to add this property to the generation config." ); } if (generation_config.task === "translate") { logger.warn("Token-level timestamps may not be reliable for task 'translate'."); } generation_config.output_attentions = true; generation_config.return_dict_in_generate = true; } if (generation_config.return_timestamps && !kwargs.max_new_tokens) { return this._generate_with_seek({ inputs, generation_config, logits_processor, init_tokens, kwargs }); } const outputs = await super.generate({ inputs, generation_config, logits_processor, decoder_input_ids: init_tokens, ...kwargs }); if (generation_config.return_token_timestamps) { outputs["token_timestamps"] = this._extract_token_timestamps( // @ts-expect-error TS2345 outputs, generation_config.alignment_heads, generation_config.num_frames, 0.02, init_tokens.length ); } return outputs; } /** * Generates with a seek loop for timestamp mode, re-encoding and generating * for each segment until all audio frames are consumed. * This matches Python's WhisperForConditionalGeneration.generate() behavior. * @private */ async _generate_with_seek({ inputs, generation_config, logits_processor, init_tokens, kwargs }) { const timestamp_begin = generation_config.no_timestamps_token_id + 1; const eos_token_id = Array.isArray(generation_config.eos_token_id) ? generation_config.eos_token_id[0] : generation_config.eos_token_id; const return_token_timestamps = generation_config.return_token_timestamps; const input_features = inputs; const total_frames = input_features.dims[2]; const input_stride = 2; const max_source_positions = ( /** @type {number} */ this.config.max_source_positions ); const num_segment_frames = input_stride * max_source_positions; let seek = 0; const allTokens = []; const allTokenTimestamps = []; while (seek < total_frames) { const seek_end = Math.min(seek + num_segment_frames, total_frames); const segment_input = input_features.slice(null, null, [seek, seek_end]); let segment_features; const segment_frames = segment_input.dims[2]; if (segment_frames < num_segment_frames) { const n_mels = input_features.dims[1]; const padded_data = new Float32Array(n_mels * num_segment_frames); const src = ( /** @type {Float32Array} */ segment_input.data ); for (let m = 0; m < n_mels; ++m) { padded_data.set(src.subarray(m * segment_frames, (m + 1) * segment_frames), m * num_segment_frames); } segment_features = new Tensor2("float32", padded_data, [1, n_mels, num_segment_frames]); } else { segment_features = segment_input; } if (logits_processor) { for (const proc of logits_processor) { if ("begin_index" in proc) { proc.begin_index = init_tokens.length; } } } const outputs = ( /** @type {any} */ await super.generate({ inputs: segment_features, generation_config, logits_processor, decoder_input_ids: init_tokens, ...kwargs }) ); const raw_sequence = return_token_timestamps ? outputs.sequences : ( /** @type {Tensor} */ outputs ); const generated_tokens = raw_sequence[0].tolist().map(Number).slice(init_tokens.length); let seek_token_timestamps; if (return_token_timestamps) { outputs["token_timestamps"] = this._extract_token_timestamps( outputs, generation_config.alignment_heads, Math.floor((seek_end - seek) / input_stride), 0.02, init_tokens.length ); const time_offset = seek / input_stride * 0.02; seek_token_timestamps = outputs.token_timestamps[0].tolist().slice(init_tokens.length).map((t) => t + time_offset); } if (generated_tokens.length > 0 && generated_tokens.at(-1) === eos_token_id) { generated_tokens.pop(); } if (generated_tokens.length === 0) { break; } const is_timestamp = generated_tokens.map((t) => t >= timestamp_begin); const single_timestamp_ending = generated_tokens.length >= 2 && is_timestamp[generated_tokens.length - 1] && !is_timestamp[generated_tokens.length - 2]; const segment_boundary_indices = []; for (let i = 0; i < generated_tokens.length - 1; ++i) { if (is_timestamp[i] && is_timestamp[i + 1]) { segment_boundary_indices.push(i + 1); } } let segment_offset; let tokens_to_keep = generated_tokens.length; if (segment_boundary_indices.length > 0) { if (single_timestamp_ending) { segment_offset = seek_end - seek; } else { const last_boundary = segment_boundary_indices.at(-1); const last_ts_pos = generated_tokens[last_boundary - 1] - timestamp_begin; segment_offset = last_ts_pos * input_stride; tokens_to_keep = last_boundary; } } else { segment_offset = seek_end - seek; } const timestamp_offset = Math.floor(seek / input_stride); const max_timestamp_token = timestamp_begin + 1500; for (let i = 0; i < tokens_to_keep; ++i) { if (generated_tokens[i] >= timestamp_begin) { generated_tokens[i] = Math.min(generated_tokens[i] + timestamp_offset, max_timestamp_token); } } allTokens.push(...generated_tokens.slice(0, tokens_to_keep)); if (seek_token_timestamps) { allTokenTimestamps.push(...seek_token_timestamps.slice(0, tokens_to_keep)); } seek += segment_offset; } allTokens.push(eos_token_id); const full_sequence = [...init_tokens, ...allTokens]; if (return_token_timestamps) { const sequences = new Tensor2("int64", full_sequence.map(BigInt), [1, full_sequence.length]); const full_timestamps = [...new Array(init_tokens.length).fill(0), ...allTokenTimestamps, 0]; const token_timestamps = new Tensor2("float32", new Float32Array(full_timestamps), [ 1, full_timestamps.length ]); return { sequences, token_timestamps }; } return new Tensor2("int64", full_sequence.map(BigInt), [1, full_sequence.length]); } /** * Calculates token-level timestamps using the encoder-decoder cross-attentions and * dynamic time-warping (DTW) to map each output token to a position in the input audio. * If `num_frames` is specified, the encoder-decoder cross-attentions will be cropped before applying DTW. * @param {Object} generate_outputs Outputs generated by the model * @param {Tensor[][]} generate_outputs.cross_attentions The cross attentions output by the model * @param {Tensor} generate_outputs.sequences The sequences output by the model * @param {number[][]} alignment_heads Alignment heads of the model * @param {number} [num_frames=null] Number of frames in the input audio. * @param {number} [time_precision=0.02] Precision of the timestamps in seconds * @param {number} [num_input_ids=0] Number of decoder input ids (prefix tokens) to skip in DTW * @returns {Tensor} tensor containing the timestamps in seconds for each predicted token */ _extract_token_timestamps(generate_outputs, alignment_heads, num_frames = null, time_precision = 0.02, num_input_ids = 0) { if (!generate_outputs.cross_attentions) { throw new Error( "Model outputs must contain cross attentions to extract timestamps. This is most likely because the model was not exported with `output_attentions=True`." ); } if (num_frames == null) { logger.warn( "`num_frames` has not been set, meaning the entire audio will be analyzed. This may lead to inaccurate token-level timestamps for short audios (< 30 seconds)." ); } let median_filter_width = this.config.median_filter_width; if (median_filter_width === void 0) { logger.warn("Model config has no `median_filter_width`, using default value of 7."); median_filter_width = 7; } const batch = generate_outputs.cross_attentions; const cross_attentions = Array.from( // @ts-expect-error TS2339 { length: this.config.decoder_layers }, // Concatenate the cross attentions for each layer across sequence length dimension. (_, i) => cat( batch.map((x) => x[i]), 2 ) ); const weights = stack2( alignment_heads.map(([l, h]) => { if (l >= cross_attentions.length) { throw new Error( `Layer index ${l} is out of bounds for cross attentions (length ${cross_attentions.length}).` ); } return num_frames ? cross_attentions[l].slice(null, h, null, [0, num_frames]) : cross_attentions[l].slice(null, h); }) ).transpose(1, 0, 2, 3); const [std, calculatedMean] = std_mean(weights, -2, 0, true); const smoothedWeights = weights.clone(); for (let a = 0; a < smoothedWeights.dims[0]; ++a) { const aTensor = smoothedWeights[a]; for (let b = 0; b < aTensor.dims[0]; ++b) { const bTensor = aTensor[b]; const stdTensorData = std[a][b][0].data; const meanTensorData = calculatedMean[a][b][0].data; for (let c = 0; c < bTensor.dims[0]; ++c) { let cTensorData = bTensor[c].data; for (let d = 0; d < cTensorData.length; ++d) { cTensorData[d] = (cTensorData[d] - meanTensorData[d]) / stdTensorData[d]; } cTensorData.set(medianFilter(cTensorData, median_filter_width)); } } } const croppedWeights = num_input_ids > 0 ? smoothedWeights.slice(null, null, [num_input_ids, smoothedWeights.dims[2]], null) : smoothedWeights; const batchedMatrices = [mean(croppedWeights, 1)]; const timestampsShape = generate_outputs.sequences.dims; const timestamps = new Tensor2( "float32", new Float32Array(timestampsShape[0] * timestampsShape[1]), timestampsShape ); for (let batch_idx = 0; batch_idx < timestampsShape[0]; ++batch_idx) { const matrix = batchedMatrices[batch_idx].neg().squeeze_(0); const [text_indices, time_indices] = dynamic_time_warping(matrix.tolist()); const diffs = Array.from( { length: text_indices.length - 1 }, (v, i) => text_indices[i + 1] - text_indices[i] ); const jumps = mergeArrays([1], diffs).map((x) => !!x); const jump_times = []; for (let i = 0; i < jumps.length; ++i) { if (jumps[i]) { jump_times.push(time_indices[i] * time_precision); } } const padded = new Array(num_input_ids).fill(0); padded.push(...jump_times); if (jump_times.length > 0) { padded.push(jump_times.at(-1)); } timestamps[batch_idx].data.set(padded); } return timestamps; } }; var LiteWhisperForConditionalGeneration = class extends WhisperForConditionalGeneration { }; var XLMPreTrainedModel = class extends PreTrainedModel { }; var XLMModel = class extends XLMPreTrainedModel { }; var XLMWithLMHeadModel = class extends XLMPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} returned object */ async _call(model_inputs) { return new MaskedLMOutput(await super._call(model_inputs)); } }; var XLMForSequenceClassification = class extends XLMPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} returned object */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var XLMForTokenClassification = class extends XLMPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for token classification. */ async _call(model_inputs) { return new TokenClassifierOutput(await super._call(model_inputs)); } }; var XLMForQuestionAnswering = class extends XLMPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} returned object */ async _call(model_inputs) { return new QuestionAnsweringModelOutput(await super._call(model_inputs)); } }; var XLMRobertaPreTrainedModel = class extends PreTrainedModel { }; var XLMRobertaModel = class extends XLMRobertaPreTrainedModel { }; var XLMRobertaForMaskedLM = class extends XLMRobertaPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} returned object */ async _call(model_inputs) { return new MaskedLMOutput(await super._call(model_inputs)); } }; var XLMRobertaForSequenceClassification = class extends XLMRobertaPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} returned object */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }; var XLMRobertaForTokenClassification = class extends XLMRobertaPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} An object containing the model's output logits for token classification. */ async _call(model_inputs) { return new TokenClassifierOutput(await super._call(model_inputs)); } }; var XLMRobertaForQuestionAnswering = class extends XLMRobertaPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise} returned object */ async _call(model_inputs) { return new QuestionAnsweringModelOutput(await super._call(model_inputs)); } }; var YolosPreTrainedModel = class extends PreTrainedModel { }; var YolosModel = class extends YolosPreTrainedModel { }; var YolosForObjectDetection = class extends YolosPreTrainedModel { /** * @param {any} model_inputs */ async _call(model_inputs) { return new YolosObjectDetectionOutput(await super._call(model_inputs)); } }; var YolosObjectDetectionOutput = class extends ModelOutput { /** * @param {Object} output The output of the model. * @param {Tensor} output.logits Classification logits (including no-object) for all queries. * @param {Tensor} output.pred_boxes Normalized boxes coordinates for all queries, represented as (center_x, center_y, width, height). * These values are normalized in [0, 1], relative to the size of each individual image in the batch (disregarding possible padding). */ constructor({ logits, pred_boxes }) { super(); this.logits = logits; this.pred_boxes = pred_boxes; } }; var YoutuPreTrainedModel = class extends PreTrainedModel { }; var YoutuModel = class extends YoutuPreTrainedModel { }; var YoutuForCausalLM = class extends YoutuPreTrainedModel { }; var MODEL_MAPPING_NAMES_ENCODER_ONLY = /* @__PURE__ */ new Map([ ["bert", "BertModel"], ["eurobert", "EuroBertModel"], ["neobert", "NeoBertModel"], ["modernbert", "ModernBertModel"], ["nomic_bert", "NomicBertModel"], ["roformer", "RoFormerModel"], ["electra", "ElectraModel"], ["esm", "EsmModel"], ["convbert", "ConvBertModel"], ["camembert", "CamembertModel"], ["deberta", "DebertaModel"], ["deberta-v2", "DebertaV2Model"], ["mpnet", "MPNetModel"], ["albert", "AlbertModel"], ["distilbert", "DistilBertModel"], ["roberta", "RobertaModel"], ["xlm", "XLMModel"], ["xlm-roberta", "XLMRobertaModel"], ["clap", "ClapModel"], ["clip", "CLIPModel"], ["clipseg", "CLIPSegModel"], ["chinese_clip", "ChineseCLIPModel"], ["siglip", "SiglipModel"], ["jina_clip", "JinaCLIPModel"], ["mobilebert", "MobileBertModel"], ["squeezebert", "SqueezeBertModel"], ["wav2vec2", "Wav2Vec2Model"], ["wav2vec2-bert", "Wav2Vec2BertModel"], ["unispeech", "UniSpeechModel"], ["unispeech-sat", "UniSpeechSatModel"], ["hubert", "HubertModel"], ["wavlm", "WavLMModel"], ["audio-spectrogram-transformer", "ASTModel"], ["vits", "VitsModel"], ["pyannote", "PyAnnoteModel"], ["wespeaker-resnet", "WeSpeakerResNetModel"], ["detr", "DetrModel"], ["rt_detr", "RTDetrModel"], ["rt_detr_v2", "RTDetrV2Model"], ["rf_detr", "RFDetrModel"], ["d_fine", "DFineModel"], ["table-transformer", "TableTransformerModel"], ["vit", "ViTModel"], ["ijepa", "IJepaModel"], ["pvt", "PvtModel"], ["vit_msn", "ViTMSNModel"], ["vit_mae", "ViTMAEModel"], ["groupvit", "GroupViTModel"], ["fastvit", "FastViTModel"], ["mobilevit", "MobileViTModel"], ["mobilevitv2", "MobileViTV2Model"], ["owlvit", "OwlViTModel"], ["owlv2", "Owlv2Model"], ["beit", "BeitModel"], ["deit", "DeiTModel"], ["hiera", "HieraModel"], ["convnext", "ConvNextModel"], ["convnextv2", "ConvNextV2Model"], ["dinov2", "Dinov2Model"], ["dinov2_with_registers", "Dinov2WithRegistersModel"], ["dinov3_vit", "DINOv3ViTModel"], ["dinov3_convnext", "DINOv3ConvNextModel"], ["resnet", "ResNetModel"], ["swin", "SwinModel"], ["swin2sr", "Swin2SRModel"], ["donut-swin", "DonutSwinModel"], ["yolos", "YolosModel"], ["dpt", "DPTModel"], ["glpn", "GLPNModel"], ["hifigan", "SpeechT5HifiGan"], ["efficientnet", "EfficientNetModel"], ["decision_transformer", "DecisionTransformerModel"], ["patchtst", "PatchTSTModel"], ["patchtsmixer", "PatchTSMixerModel"], ["mobilenet_v1", "MobileNetV1Model"], ["mobilenet_v2", "MobileNetV2Model"], ["mobilenet_v3", "MobileNetV3Model"], ["mobilenet_v4", "MobileNetV4Model"], ["maskformer", "MaskFormerModel"], ["mgp-str", "MgpstrForSceneTextRecognition"], ["style_text_to_speech_2", "StyleTextToSpeech2Model"], ["openai_privacy_filter", "OpenAIPrivacyFilterModel"] ]); var MODEL_MAPPING_NAMES_ENCODER_DECODER = /* @__PURE__ */ new Map([ ["t5", "T5Model"], ["longt5", "LongT5Model"], ["mt5", "MT5Model"], ["bart", "BartModel"], ["mbart", "MBartModel"], ["marian", "MarianModel"], ["whisper", "WhisperModel"], ["cohere_asr", "CohereAsrModel"], ["m2m_100", "M2M100Model"], ["blenderbot", "BlenderbotModel"], ["blenderbot-small", "BlenderbotSmallModel"] ]); var MODEL_MAPPING_NAMES_AUTO_ENCODER = /* @__PURE__ */ new Map([ ["mimi", "MimiModel"], ["dac", "DacModel"], ["snac", "SnacModel"] ]); var MODEL_MAPPING_NAMES_DECODER_ONLY = /* @__PURE__ */ new Map([ ["bloom", "BloomModel"], ["jais", "JAISModel"], ["gpt2", "GPT2Model"], ["gpt_oss", "GptOssModel"], ["gptj", "GPTJModel"], ["gpt_bigcode", "GPTBigCodeModel"], ["gpt_neo", "GPTNeoModel"], ["gpt_neox", "GPTNeoXModel"], ["codegen", "CodeGenModel"], ["llama", "LlamaModel"], ["apertus", "ApertusModel"], ["nanochat", "NanoChatModel"], ["arcee", "ArceeModel"], ["afmoe", "AfmoeModel"], ["lfm2", "Lfm2Model"], ["lfm2_moe", "Lfm2MoeModel"], ["smollm3", "SmolLM3Model"], ["exaone", "ExaoneModel"], ["olmo", "OlmoModel"], ["olmo2", "Olmo2Model"], ["olmo3", "Olmo3Model"], ["olmo_hybrid", "OlmoHybridModel"], ["mobilellm", "MobileLLMModel"], ["granite", "GraniteModel"], ["granitemoehybrid", "GraniteMoeHybridModel"], ["cohere", "CohereModel"], ["cohere2", "Cohere2Model"], ["gemma", "GemmaModel"], ["gemma2", "Gemma2Model"], ["vaultgemma", "VaultGemmaModel"], ["gemma3_text", "Gemma3Model"], ["helium", "HeliumModel"], ["glm", "GlmModel"], ["glm_moe_dsa", "GlmMoeDsaModel"], ["openelm", "OpenELMModel"], ["qwen2", "Qwen2Model"], ["qwen2_moe", "Qwen2MoeModel"], ["qwen3", "Qwen3Model"], ["qwen3_moe", "Qwen3MoeModel"], ["qwen3_next", "Qwen3NextModel"], ["phi", "PhiModel"], ["phi3", "Phi3Model"], ["mpt", "MptModel"], ["opt", "OPTModel"], ["mistral", "MistralModel"], ["mistral4", "Mistral4Model"], ["ministral", "MinistralModel"], ["ministral3", "Ministral3Model"], ["ernie4_5", "Ernie4_5ForCausalLM"], ["starcoder2", "Starcoder2Model"], ["deepseek_v3", "DeepseekV3Model"], ["falcon", "FalconModel"], ["falcon_h1", "FalconH1Model"], ["nemotron_h", "NemotronHModel"], ["solar_open", "SolarOpenModel"], ["stablelm", "StableLmModel"], ["modernbert-decoder", "ModernBertDecoderModel"], ["hunyuan_v1_dense", "HunYuanDenseV1Model"], ["youtu", "YoutuModel"] ]); var MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING_NAMES = /* @__PURE__ */ new Map([ ["speecht5", "SpeechT5ForSpeechToText"], ["whisper", "WhisperForConditionalGeneration"], ["lite-whisper", "LiteWhisperForConditionalGeneration"], ["moonshine", "MoonshineForConditionalGeneration"], ["cohere_asr", "CohereAsrForConditionalGeneration"] ]); var MODEL_FOR_TEXT_TO_SPECTROGRAM_MAPPING_NAMES = /* @__PURE__ */ new Map([["speecht5", "SpeechT5ForTextToSpeech"]]); var MODEL_FOR_TEXT_TO_WAVEFORM_MAPPING_NAMES = /* @__PURE__ */ new Map([ ["vits", "VitsModel"], ["musicgen", "MusicgenForConditionalGeneration"], ["supertonic", "SupertonicForConditionalGeneration"] ]); var MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING_NAMES = /* @__PURE__ */ new Map([ ["bert", "BertForSequenceClassification"], ["eurobert", "EuroBertForSequenceClassification"], ["neobert", "NeoBertForSequenceClassification"], ["modernbert", "ModernBertForSequenceClassification"], ["roformer", "RoFormerForSequenceClassification"], ["electra", "ElectraForSequenceClassification"], ["esm", "EsmForSequenceClassification"], ["convbert", "ConvBertForSequenceClassification"], ["camembert", "CamembertForSequenceClassification"], ["deberta", "DebertaForSequenceClassification"], ["deberta-v2", "DebertaV2ForSequenceClassification"], ["mpnet", "MPNetForSequenceClassification"], ["albert", "AlbertForSequenceClassification"], ["distilbert", "DistilBertForSequenceClassification"], ["roberta", "RobertaForSequenceClassification"], ["xlm", "XLMForSequenceClassification"], ["xlm-roberta", "XLMRobertaForSequenceClassification"], ["bart", "BartForSequenceClassification"], ["mbart", "MBartForSequenceClassification"], ["mobilebert", "MobileBertForSequenceClassification"], ["squeezebert", "SqueezeBertForSequenceClassification"] ]); var MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING_NAMES = /* @__PURE__ */ new Map([ ["bert", "BertForTokenClassification"], ["eurobert", "EuroBertForTokenClassification"], ["neobert", "NeoBertForTokenClassification"], ["modernbert", "ModernBertForTokenClassification"], ["roformer", "RoFormerForTokenClassification"], ["electra", "ElectraForTokenClassification"], ["esm", "EsmForTokenClassification"], ["convbert", "ConvBertForTokenClassification"], ["camembert", "CamembertForTokenClassification"], ["deberta", "DebertaForTokenClassification"], ["deberta-v2", "DebertaV2ForTokenClassification"], ["mpnet", "MPNetForTokenClassification"], ["distilbert", "DistilBertForTokenClassification"], ["roberta", "RobertaForTokenClassification"], ["xlm", "XLMForTokenClassification"], ["xlm-roberta", "XLMRobertaForTokenClassification"], ["openai_privacy_filter", "OpenAIPrivacyFilterForTokenClassification"] ]); var MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING_NAMES = /* @__PURE__ */ new Map([ ["t5", "T5ForConditionalGeneration"], ["longt5", "LongT5ForConditionalGeneration"], ["mt5", "MT5ForConditionalGeneration"], ["bart", "BartForConditionalGeneration"], ["mbart", "MBartForConditionalGeneration"], ["marian", "MarianMTModel"], ["m2m_100", "M2M100ForConditionalGeneration"], ["blenderbot", "BlenderbotForConditionalGeneration"], ["blenderbot-small", "BlenderbotSmallForConditionalGeneration"] ]); var MODEL_FOR_CAUSAL_LM_MAPPING_NAMES = /* @__PURE__ */ new Map([ ["bloom", "BloomForCausalLM"], ["gpt2", "GPT2LMHeadModel"], ["gpt_oss", "GptOssForCausalLM"], ["jais", "JAISLMHeadModel"], ["gptj", "GPTJForCausalLM"], ["gpt_bigcode", "GPTBigCodeForCausalLM"], ["gpt_neo", "GPTNeoForCausalLM"], ["gpt_neox", "GPTNeoXForCausalLM"], ["codegen", "CodeGenForCausalLM"], ["llama", "LlamaForCausalLM"], ["nanochat", "NanoChatForCausalLM"], ["apertus", "ApertusForCausalLM"], ["llama4_text", "Llama4ForCausalLM"], ["arcee", "ArceeForCausalLM"], ["afmoe", "AfmoeForCausalLM"], ["lfm2", "Lfm2ForCausalLM"], ["lfm2_moe", "Lfm2MoeForCausalLM"], ["smollm3", "SmolLM3ForCausalLM"], ["exaone", "ExaoneForCausalLM"], ["olmo", "OlmoForCausalLM"], ["olmo2", "Olmo2ForCausalLM"], ["olmo3", "Olmo3ForCausalLM"], ["olmo_hybrid", "OlmoHybridForCausalLM"], ["mobilellm", "MobileLLMForCausalLM"], ["granite", "GraniteForCausalLM"], ["granitemoehybrid", "GraniteMoeHybridForCausalLM"], ["cohere", "CohereForCausalLM"], ["cohere2", "Cohere2ForCausalLM"], ["gemma", "GemmaForCausalLM"], ["gemma2", "Gemma2ForCausalLM"], ["vaultgemma", "VaultGemmaForCausalLM"], ["gemma3_text", "Gemma3ForCausalLM"], ["gemma3", "Gemma3ForCausalLM"], ["helium", "HeliumForCausalLM"], ["glm", "GlmForCausalLM"], ["glm_moe_dsa", "GlmMoeDsaForCausalLM"], ["openelm", "OpenELMForCausalLM"], ["qwen2", "Qwen2ForCausalLM"], ["qwen2_moe", "Qwen2MoeForCausalLM"], ["qwen3", "Qwen3ForCausalLM"], ["qwen3_moe", "Qwen3MoeForCausalLM"], ["qwen3_next", "Qwen3NextForCausalLM"], ["qwen2_vl", "Qwen2VLForCausalLM"], ["qwen2_5_vl", "Qwen2_5_VLForCausalLM"], ["qwen3_vl", "Qwen3VLForCausalLM"], ["qwen3_vl_moe", "Qwen3VLMoeForCausalLM"], ["qwen3_5", "Qwen3_5ForCausalLM"], ["qwen3_5_text", "Qwen3_5ForCausalLM"], ["qwen3_5_moe", "Qwen3_5MoeForCausalLM"], ["gemma3n", "Gemma3nForCausalLM"], ["gemma4", "Gemma4ForCausalLM"], ["phi", "PhiForCausalLM"], ["phi3", "Phi3ForCausalLM"], ["mpt", "MptForCausalLM"], ["opt", "OPTForCausalLM"], ["mbart", "MBartForCausalLM"], ["mistral", "MistralForCausalLM"], ["mistral4", "Mistral4ForCausalLM"], ["ministral", "MinistralForCausalLM"], ["ministral3", "Ministral3ForCausalLM"], ["ernie4_5", "Ernie4_5ForCausalLM"], ["starcoder2", "Starcoder2ForCausalLM"], ["deepseek_v3", "DeepseekV3ForCausalLM"], ["falcon", "FalconForCausalLM"], ["falcon_h1", "FalconH1ForCausalLM"], ["nemotron_h", "NemotronHForCausalLM"], ["trocr", "TrOCRForCausalLM"], ["solar_open", "SolarOpenForCausalLM"], ["stablelm", "StableLmForCausalLM"], ["modernbert-decoder", "ModernBertDecoderForCausalLM"], ["hunyuan_v1_dense", "HunYuanDenseV1ForCausalLM"], ["youtu", "YoutuForCausalLM"], // Also image-text-to-text ["phi3_v", "Phi3VForCausalLM"] ]); var MODEL_FOR_MULTIMODALITY_MAPPING_NAMES = /* @__PURE__ */ new Map([["multi_modality", "MultiModalityCausalLM"]]); var MODEL_FOR_MASKED_LM_MAPPING_NAMES = /* @__PURE__ */ new Map([ ["bert", "BertForMaskedLM"], ["eurobert", "EuroBertForMaskedLM"], ["neobert", "NeoBertForMaskedLM"], ["modernbert", "ModernBertForMaskedLM"], ["roformer", "RoFormerForMaskedLM"], ["electra", "ElectraForMaskedLM"], ["esm", "EsmForMaskedLM"], ["convbert", "ConvBertForMaskedLM"], ["camembert", "CamembertForMaskedLM"], ["deberta", "DebertaForMaskedLM"], ["deberta-v2", "DebertaV2ForMaskedLM"], ["mpnet", "MPNetForMaskedLM"], ["albert", "AlbertForMaskedLM"], ["distilbert", "DistilBertForMaskedLM"], ["roberta", "RobertaForMaskedLM"], ["xlm", "XLMWithLMHeadModel"], ["xlm-roberta", "XLMRobertaForMaskedLM"], ["mobilebert", "MobileBertForMaskedLM"], ["squeezebert", "SqueezeBertForMaskedLM"] ]); var MODEL_FOR_QUESTION_ANSWERING_MAPPING_NAMES = /* @__PURE__ */ new Map([ ["bert", "BertForQuestionAnswering"], ["neobert", "NeoBertForQuestionAnswering"], ["roformer", "RoFormerForQuestionAnswering"], ["electra", "ElectraForQuestionAnswering"], ["convbert", "ConvBertForQuestionAnswering"], ["camembert", "CamembertForQuestionAnswering"], ["deberta", "DebertaForQuestionAnswering"], ["deberta-v2", "DebertaV2ForQuestionAnswering"], ["mpnet", "MPNetForQuestionAnswering"], ["albert", "AlbertForQuestionAnswering"], ["distilbert", "DistilBertForQuestionAnswering"], ["roberta", "RobertaForQuestionAnswering"], ["xlm", "XLMForQuestionAnswering"], ["xlm-roberta", "XLMRobertaForQuestionAnswering"], ["mobilebert", "MobileBertForQuestionAnswering"], ["squeezebert", "SqueezeBertForQuestionAnswering"] ]); var MODEL_FOR_VISION_2_SEQ_MAPPING_NAMES = /* @__PURE__ */ new Map([ ["vision-encoder-decoder", "VisionEncoderDecoderModel"], ["idefics3", "Idefics3ForConditionalGeneration"], ["smolvlm", "SmolVLMForConditionalGeneration"] ]); var MODEL_FOR_IMAGE_TEXT_TO_TEXT_MAPPING_NAMES = /* @__PURE__ */ new Map([ ["llava", "LlavaForConditionalGeneration"], ["llava_onevision", "LlavaOnevisionForConditionalGeneration"], ["moondream1", "Moondream1ForConditionalGeneration"], ["florence2", "Florence2ForConditionalGeneration"], ["qwen2_vl", "Qwen2VLForConditionalGeneration"], ["qwen2_5_vl", "Qwen2_5_VLForConditionalGeneration"], ["qwen3_vl", "Qwen3VLForConditionalGeneration"], ["qwen3_vl_moe", "Qwen3VLMoeForConditionalGeneration"], ["qwen3_5", "Qwen3_5ForConditionalGeneration"], ["qwen3_5_moe", "Qwen3_5MoeForConditionalGeneration"], ["lfm2_vl", "Lfm2VlForConditionalGeneration"], ["idefics3", "Idefics3ForConditionalGeneration"], ["smolvlm", "SmolVLMForConditionalGeneration"], ["paligemma", "PaliGemmaForConditionalGeneration"], ["llava_qwen2", "LlavaQwen2ForCausalLM"], ["gemma3", "Gemma3ForConditionalGeneration"], ["gemma3n", "Gemma3nForConditionalGeneration"], ["gemma4", "Gemma4ForConditionalGeneration"], ["mistral3", "Mistral3ForConditionalGeneration"], ["lighton_ocr", "LightOnOcrForConditionalGeneration"], ["glm_ocr", "GlmOcrForConditionalGeneration"] ]); var MODEL_FOR_AUDIO_TEXT_TO_TEXT_MAPPING_NAMES = /* @__PURE__ */ new Map([ ["granite_speech", "GraniteSpeechForConditionalGeneration"], ["ultravox", "UltravoxModel"], ["voxtral", "VoxtralForConditionalGeneration"], ["voxtral_realtime", "VoxtralRealtimeForConditionalGeneration"] ]); var MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING_NAMES = /* @__PURE__ */ new Map([ ["vision-encoder-decoder", "VisionEncoderDecoderModel"] ]); var MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES = /* @__PURE__ */ new Map([ ["vit", "ViTForImageClassification"], ["ijepa", "IJepaForImageClassification"], ["pvt", "PvtForImageClassification"], ["vit_msn", "ViTMSNForImageClassification"], ["fastvit", "FastViTForImageClassification"], ["mobilevit", "MobileViTForImageClassification"], ["mobilevitv2", "MobileViTV2ForImageClassification"], ["beit", "BeitForImageClassification"], ["deit", "DeiTForImageClassification"], ["hiera", "HieraForImageClassification"], ["convnext", "ConvNextForImageClassification"], ["convnextv2", "ConvNextV2ForImageClassification"], ["dinov2", "Dinov2ForImageClassification"], ["dinov2_with_registers", "Dinov2WithRegistersForImageClassification"], ["resnet", "ResNetForImageClassification"], ["swin", "SwinForImageClassification"], ["segformer", "SegformerForImageClassification"], ["efficientnet", "EfficientNetForImageClassification"], ["mobilenet_v1", "MobileNetV1ForImageClassification"], ["mobilenet_v2", "MobileNetV2ForImageClassification"], ["mobilenet_v3", "MobileNetV3ForImageClassification"], ["mobilenet_v4", "MobileNetV4ForImageClassification"] ]); var MODEL_FOR_OBJECT_DETECTION_MAPPING_NAMES = /* @__PURE__ */ new Map([ ["detr", "DetrForObjectDetection"], ["rt_detr", "RTDetrForObjectDetection"], ["rt_detr_v2", "RTDetrV2ForObjectDetection"], ["rf_detr", "RFDetrForObjectDetection"], ["d_fine", "DFineForObjectDetection"], ["table-transformer", "TableTransformerForObjectDetection"], ["yolos", "YolosForObjectDetection"] ]); var MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING_NAMES = /* @__PURE__ */ new Map([ ["owlvit", "OwlViTForObjectDetection"], ["owlv2", "Owlv2ForObjectDetection"], ["grounding-dino", "GroundingDinoForObjectDetection"] ]); var MODEL_FOR_IMAGE_SEGMENTATION_MAPPING_NAMES = /* @__PURE__ */ new Map([ // TODO: Do not add new models here ["detr", "DetrForSegmentation"], ["clipseg", "CLIPSegForImageSegmentation"] ]); var MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING_NAMES = /* @__PURE__ */ new Map([ ["segformer", "SegformerForSemanticSegmentation"], ["sapiens", "SapiensForSemanticSegmentation"], ["swin", "SwinForSemanticSegmentation"], ["mobilenet_v1", "MobileNetV1ForSemanticSegmentation"], ["mobilenet_v2", "MobileNetV2ForSemanticSegmentation"], ["mobilenet_v3", "MobileNetV3ForSemanticSegmentation"], ["mobilenet_v4", "MobileNetV4ForSemanticSegmentation"] ]); var MODEL_FOR_UNIVERSAL_SEGMENTATION_MAPPING_NAMES = /* @__PURE__ */ new Map([ ["detr", "DetrForSegmentation"], ["maskformer", "MaskFormerForInstanceSegmentation"] ]); var MODEL_FOR_MASK_GENERATION_MAPPING_NAMES = /* @__PURE__ */ new Map([ ["sam", "SamModel"], ["sam2", "Sam2Model"], ["edgetam", "EdgeTamModel"], ["sam3_tracker", "Sam3TrackerModel"] ]); var MODEL_FOR_CTC_MAPPING_NAMES = /* @__PURE__ */ new Map([ ["wav2vec2", "Wav2Vec2ForCTC"], ["wav2vec2-bert", "Wav2Vec2BertForCTC"], ["unispeech", "UniSpeechForCTC"], ["unispeech-sat", "UniSpeechSatForCTC"], ["wavlm", "WavLMForCTC"], ["hubert", "HubertForCTC"], ["parakeet_ctc", "ParakeetForCTC"] ]); var MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING_NAMES = /* @__PURE__ */ new Map([ ["wav2vec2", "Wav2Vec2ForSequenceClassification"], ["wav2vec2-bert", "Wav2Vec2BertForSequenceClassification"], ["unispeech", "UniSpeechForSequenceClassification"], ["unispeech-sat", "UniSpeechSatForSequenceClassification"], ["wavlm", "WavLMForSequenceClassification"], ["hubert", "HubertForSequenceClassification"], ["audio-spectrogram-transformer", "ASTForAudioClassification"] ]); var MODEL_FOR_AUDIO_XVECTOR_MAPPING_NAMES = /* @__PURE__ */ new Map([["wavlm", "WavLMForXVector"]]); var MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPING_NAMES = /* @__PURE__ */ new Map([ ["unispeech-sat", "UniSpeechSatForAudioFrameClassification"], ["wavlm", "WavLMForAudioFrameClassification"], ["wav2vec2", "Wav2Vec2ForAudioFrameClassification"], ["pyannote", "PyAnnoteForAudioFrameClassification"] ]); var MODEL_FOR_IMAGE_MATTING_MAPPING_NAMES = /* @__PURE__ */ new Map([["vitmatte", "VitMatteForImageMatting"]]); var MODEL_FOR_TIME_SERIES_PREDICTION_MAPPING_NAMES = /* @__PURE__ */ new Map([ ["patchtst", "PatchTSTForPrediction"], ["patchtsmixer", "PatchTSMixerForPrediction"] ]); var MODEL_FOR_IMAGE_TO_IMAGE_MAPPING_NAMES = /* @__PURE__ */ new Map([["swin2sr", "Swin2SRForImageSuperResolution"]]); var MODEL_FOR_DEPTH_ESTIMATION_MAPPING_NAMES = /* @__PURE__ */ new Map([ ["chmv2", "CHMv2ForDepthEstimation"], ["dpt", "DPTForDepthEstimation"], ["depth_anything", "DepthAnythingForDepthEstimation"], ["glpn", "GLPNForDepthEstimation"], ["sapiens", "SapiensForDepthEstimation"], ["depth_pro", "DepthProForDepthEstimation"], ["metric3d", "Metric3DForDepthEstimation"], ["metric3dv2", "Metric3Dv2ForDepthEstimation"] ]); var MODEL_FOR_NORMAL_ESTIMATION_MAPPING_NAMES = /* @__PURE__ */ new Map([["sapiens", "SapiensForNormalEstimation"]]); var MODEL_FOR_POSE_ESTIMATION_MAPPING_NAMES = /* @__PURE__ */ new Map([["vitpose", "VitPoseForPoseEstimation"]]); var MODEL_FOR_IMAGE_FEATURE_EXTRACTION_MAPPING_NAMES = /* @__PURE__ */ new Map([ ["clip", "CLIPVisionModelWithProjection"], ["siglip", "SiglipVisionModel"], ["jina_clip", "JinaCLIPVisionModel"] ]); var MODEL_CLASS_TYPE_MAPPING = [ // MODEL_MAPPING_NAMES: [MODEL_MAPPING_NAMES_ENCODER_ONLY, MODEL_TYPES.EncoderOnly], [MODEL_MAPPING_NAMES_ENCODER_DECODER, MODEL_TYPES.EncoderDecoder], [MODEL_MAPPING_NAMES_DECODER_ONLY, MODEL_TYPES.DecoderOnlyWithoutHead], [MODEL_MAPPING_NAMES_AUTO_ENCODER, MODEL_TYPES.AutoEncoder], [MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly], [MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly], [MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING_NAMES, MODEL_TYPES.Seq2Seq], [MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING_NAMES, MODEL_TYPES.Seq2Seq], [MODEL_FOR_CAUSAL_LM_MAPPING_NAMES, MODEL_TYPES.DecoderOnly], [MODEL_FOR_MULTIMODALITY_MAPPING_NAMES, MODEL_TYPES.MultiModality], [MODEL_FOR_MASKED_LM_MAPPING_NAMES, MODEL_TYPES.EncoderOnly], [MODEL_FOR_QUESTION_ANSWERING_MAPPING_NAMES, MODEL_TYPES.EncoderOnly], [MODEL_FOR_VISION_2_SEQ_MAPPING_NAMES, MODEL_TYPES.Vision2Seq], [MODEL_FOR_IMAGE_TEXT_TO_TEXT_MAPPING_NAMES, MODEL_TYPES.ImageTextToText], [MODEL_FOR_AUDIO_TEXT_TO_TEXT_MAPPING_NAMES, MODEL_TYPES.AudioTextToText], [MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly], [MODEL_FOR_IMAGE_SEGMENTATION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly], [MODEL_FOR_UNIVERSAL_SEGMENTATION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly], [MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly], [MODEL_FOR_IMAGE_MATTING_MAPPING_NAMES, MODEL_TYPES.EncoderOnly], [MODEL_FOR_TIME_SERIES_PREDICTION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly], [MODEL_FOR_IMAGE_TO_IMAGE_MAPPING_NAMES, MODEL_TYPES.EncoderOnly], [MODEL_FOR_DEPTH_ESTIMATION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly], [MODEL_FOR_NORMAL_ESTIMATION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly], [MODEL_FOR_POSE_ESTIMATION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly], [MODEL_FOR_OBJECT_DETECTION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly], [MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly], [MODEL_FOR_MASK_GENERATION_MAPPING_NAMES, MODEL_TYPES.MaskGeneration], [MODEL_FOR_CTC_MAPPING_NAMES, MODEL_TYPES.EncoderOnly], [MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly], [MODEL_FOR_TEXT_TO_SPECTROGRAM_MAPPING_NAMES, MODEL_TYPES.Seq2Seq], [MODEL_FOR_TEXT_TO_WAVEFORM_MAPPING_NAMES, MODEL_TYPES.EncoderOnly], [MODEL_FOR_AUDIO_XVECTOR_MAPPING_NAMES, MODEL_TYPES.EncoderOnly], [MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly], // Custom: [MODEL_FOR_IMAGE_FEATURE_EXTRACTION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly] ]; for (const [mappings, type] of MODEL_CLASS_TYPE_MAPPING) { for (const name of mappings.values()) { MODEL_TYPE_MAPPING.set(name, type); const model = models_exports[name]; MODEL_CLASS_TO_NAME_MAPPING.set(model, name); MODEL_NAME_TO_CLASS_MAPPING.set(name, model); } } var CUSTOM_MAPPING = [ // OVERRIDE: // TODO: Refactor to allow class to specify model ["MusicgenForConditionalGeneration", MusicgenForConditionalGeneration, MODEL_TYPES.Musicgen], ["Phi3VForCausalLM", Phi3VForCausalLM, MODEL_TYPES.Phi3V], ["CLIPTextModelWithProjection", CLIPTextModelWithProjection, MODEL_TYPES.EncoderOnly], ["SiglipTextModel", SiglipTextModel, MODEL_TYPES.EncoderOnly], ["JinaCLIPTextModel", JinaCLIPTextModel, MODEL_TYPES.EncoderOnly], ["ClapTextModelWithProjection", ClapTextModelWithProjection, MODEL_TYPES.EncoderOnly], ["ClapAudioModelWithProjection", ClapAudioModelWithProjection, MODEL_TYPES.EncoderOnly], ["DacEncoderModel", DacEncoderModel, MODEL_TYPES.EncoderOnly], ["DacDecoderModel", DacDecoderModel, MODEL_TYPES.EncoderOnly], ["MimiEncoderModel", MimiEncoderModel, MODEL_TYPES.EncoderOnly], ["MimiDecoderModel", MimiDecoderModel, MODEL_TYPES.EncoderOnly], ["SnacEncoderModel", SnacEncoderModel, MODEL_TYPES.EncoderOnly], ["SnacDecoderModel", SnacDecoderModel, MODEL_TYPES.EncoderOnly], [ "Gemma3nForConditionalGeneration", Gemma3nForConditionalGeneration, MODEL_TYPES.ImageAudioTextToText ], [ "Gemma4ForConditionalGeneration", Gemma4ForConditionalGeneration, MODEL_TYPES.ImageAudioTextToText ], ["SupertonicForConditionalGeneration", SupertonicForConditionalGeneration, MODEL_TYPES.Supertonic], ["ChatterboxModel", ChatterboxModel, MODEL_TYPES.Chatterbox], [ "VoxtralRealtimeForConditionalGeneration", VoxtralRealtimeForConditionalGeneration, MODEL_TYPES.VoxtralRealtime ] ]; for (const [name, model, type] of CUSTOM_MAPPING) { MODEL_TYPE_MAPPING.set(name, type); MODEL_CLASS_TO_NAME_MAPPING.set(model, name); MODEL_NAME_TO_CLASS_MAPPING.set(name, model); } var CUSTOM_ARCHITECTURES_MAPPING = /* @__PURE__ */ new Map([ ["modnet", MODEL_FOR_IMAGE_SEGMENTATION_MAPPING_NAMES], ["birefnet", MODEL_FOR_IMAGE_SEGMENTATION_MAPPING_NAMES], ["isnet", MODEL_FOR_IMAGE_SEGMENTATION_MAPPING_NAMES], ["ben", MODEL_FOR_IMAGE_SEGMENTATION_MAPPING_NAMES] ]); for (const [name, mapping] of CUSTOM_ARCHITECTURES_MAPPING.entries()) { mapping.set(name, "PreTrainedModel"); MODEL_TYPE_MAPPING.set(name, MODEL_TYPES.EncoderOnly); MODEL_NAME_TO_CLASS_MAPPING.set(name, PreTrainedModel); } var CUSTOM_ARCHITECTURES = new Set(CUSTOM_ARCHITECTURES_MAPPING.keys()); MODEL_TYPE_MAPPING.set("PreTrainedModel", MODEL_TYPES.EncoderOnly); MODEL_CLASS_TO_NAME_MAPPING.set(PreTrainedModel, "PreTrainedModel"); var MODEL_MAPPINGS = { MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING_NAMES, MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING_NAMES, MODEL_FOR_TEXT_TO_SPECTROGRAM_MAPPING_NAMES, MODEL_FOR_TEXT_TO_WAVEFORM_MAPPING_NAMES, MODEL_FOR_MASKED_LM_MAPPING_NAMES, MODEL_FOR_QUESTION_ANSWERING_MAPPING_NAMES, MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES, MODEL_FOR_IMAGE_SEGMENTATION_MAPPING_NAMES, MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING_NAMES, MODEL_FOR_UNIVERSAL_SEGMENTATION_MAPPING_NAMES, MODEL_FOR_OBJECT_DETECTION_MAPPING_NAMES, MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING_NAMES, MODEL_FOR_MASK_GENERATION_MAPPING_NAMES, MODEL_FOR_CTC_MAPPING_NAMES, MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING_NAMES, MODEL_FOR_AUDIO_XVECTOR_MAPPING_NAMES, MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPING_NAMES, MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING_NAMES, MODEL_FOR_IMAGE_MATTING_MAPPING_NAMES, MODEL_FOR_IMAGE_TO_IMAGE_MAPPING_NAMES, MODEL_FOR_DEPTH_ESTIMATION_MAPPING_NAMES, MODEL_FOR_NORMAL_ESTIMATION_MAPPING_NAMES, MODEL_FOR_POSE_ESTIMATION_MAPPING_NAMES, MODEL_FOR_IMAGE_FEATURE_EXTRACTION_MAPPING_NAMES, MODEL_FOR_IMAGE_TEXT_TO_TEXT_MAPPING_NAMES, MODEL_FOR_AUDIO_TEXT_TO_TEXT_MAPPING_NAMES, MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING_NAMES, MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING_NAMES, MODEL_FOR_CAUSAL_LM_MAPPING_NAMES, MODEL_FOR_VISION_2_SEQ_MAPPING_NAMES }; registerTaskMappings(MODEL_MAPPINGS); var PretrainedMixin = (_H = class { /** * Check whether this AutoModel class supports a given model type. * @param {string} model_type The model type from config (e.g., 'bert', 'whisper'). * @returns {boolean} Whether this class can handle the given model type. */ static supports(model_type) { if (!this.MODEL_CLASS_MAPPINGS) return false; for (const mapping of this.MODEL_CLASS_MAPPINGS) { if (mapping.has(model_type)) return true; } return this.BASE_IF_FAIL; } /** @type {typeof PreTrainedModel.from_pretrained} */ static async from_pretrained(pretrained_model_name_or_path, { progress_callback = null, config = null, cache_dir = null, local_files_only = false, revision = "main", model_file_name = null, subfolder = "onnx", device = null, dtype = null, use_external_data_format = null, session_options = {} } = {}) { const options = { progress_callback, config, cache_dir, local_files_only, revision, model_file_name, subfolder, device, dtype, use_external_data_format, session_options }; options.config = await AutoConfig.from_pretrained(pretrained_model_name_or_path, options); if (!this.MODEL_CLASS_MAPPINGS) { throw new Error("`MODEL_CLASS_MAPPINGS` not implemented for this type of `AutoClass`: " + this.name); } const { model_type } = options.config; for (const MODEL_CLASS_MAPPING of this.MODEL_CLASS_MAPPINGS) { let modelInfo = MODEL_CLASS_MAPPING.get(model_type); if (!modelInfo) { for (const cls of MODEL_CLASS_MAPPING.values()) { if (cls[0] === model_type) { modelInfo = cls; break; } } if (!modelInfo) continue; } return await models_exports[modelInfo].from_pretrained(pretrained_model_name_or_path, options); } if (this.BASE_IF_FAIL) { if (!CUSTOM_ARCHITECTURES.has(model_type)) { logger.warn(`Unknown model class "${model_type}", attempting to construct from base class.`); } return await PreTrainedModel.from_pretrained(pretrained_model_name_or_path, options); } else { throw Error(`Unsupported model type: ${model_type}`); } } }, /** * Mapping from model type to model class. * @type {Map[]} */ __publicField2(_H, "MODEL_CLASS_MAPPINGS", null), /** * Whether to attempt to instantiate the base class (`PretrainedModel`) if * the model type is not found in the mapping. */ __publicField2(_H, "BASE_IF_FAIL", false), _H); var AutoModel = (_I = class extends PretrainedMixin { }, /** @type {Map[]} */ // @ts-ignore __publicField2(_I, "MODEL_CLASS_MAPPINGS", MODEL_CLASS_TYPE_MAPPING.map((x) => x[0])), __publicField2(_I, "BASE_IF_FAIL", true), _I); var AutoModelForSequenceClassification = (_J = class extends PretrainedMixin { }, __publicField2(_J, "MODEL_CLASS_MAPPINGS", [MODEL_MAPPINGS.MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING_NAMES]), _J); var AutoModelForTokenClassification = (_K = class extends PretrainedMixin { }, __publicField2(_K, "MODEL_CLASS_MAPPINGS", [MODEL_MAPPINGS.MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING_NAMES]), _K); var AutoModelForSeq2SeqLM = (_L = class extends PretrainedMixin { }, __publicField2(_L, "MODEL_CLASS_MAPPINGS", [MODEL_MAPPINGS.MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING_NAMES]), _L); var AutoModelForSpeechSeq2Seq = (_M = class extends PretrainedMixin { }, __publicField2(_M, "MODEL_CLASS_MAPPINGS", [MODEL_MAPPINGS.MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING_NAMES]), _M); var AutoModelForTextToSpectrogram = (_N = class extends PretrainedMixin { }, __publicField2(_N, "MODEL_CLASS_MAPPINGS", [MODEL_MAPPINGS.MODEL_FOR_TEXT_TO_SPECTROGRAM_MAPPING_NAMES]), _N); var AutoModelForTextToWaveform = (_O = class extends PretrainedMixin { }, __publicField2(_O, "MODEL_CLASS_MAPPINGS", [MODEL_MAPPINGS.MODEL_FOR_TEXT_TO_WAVEFORM_MAPPING_NAMES]), _O); var AutoModelForCausalLM = (_P = class extends PretrainedMixin { }, __publicField2(_P, "MODEL_CLASS_MAPPINGS", [MODEL_MAPPINGS.MODEL_FOR_CAUSAL_LM_MAPPING_NAMES]), _P); var AutoModelForMaskedLM = (_Q = class extends PretrainedMixin { }, __publicField2(_Q, "MODEL_CLASS_MAPPINGS", [MODEL_MAPPINGS.MODEL_FOR_MASKED_LM_MAPPING_NAMES]), _Q); var AutoModelForQuestionAnswering = (_R = class extends PretrainedMixin { }, __publicField2(_R, "MODEL_CLASS_MAPPINGS", [MODEL_MAPPINGS.MODEL_FOR_QUESTION_ANSWERING_MAPPING_NAMES]), _R); var AutoModelForVision2Seq = (_S = class extends PretrainedMixin { }, __publicField2(_S, "MODEL_CLASS_MAPPINGS", [MODEL_MAPPINGS.MODEL_FOR_VISION_2_SEQ_MAPPING_NAMES]), _S); var AutoModelForImageClassification = (_T = class extends PretrainedMixin { }, __publicField2(_T, "MODEL_CLASS_MAPPINGS", [MODEL_MAPPINGS.MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES]), _T); var AutoModelForImageSegmentation = (_U = class extends PretrainedMixin { }, __publicField2(_U, "MODEL_CLASS_MAPPINGS", [MODEL_MAPPINGS.MODEL_FOR_IMAGE_SEGMENTATION_MAPPING_NAMES]), _U); var AutoModelForSemanticSegmentation = (_V = class extends PretrainedMixin { }, __publicField2(_V, "MODEL_CLASS_MAPPINGS", [MODEL_MAPPINGS.MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING_NAMES]), _V); var AutoModelForUniversalSegmentation = (_W = class extends PretrainedMixin { }, __publicField2(_W, "MODEL_CLASS_MAPPINGS", [MODEL_MAPPINGS.MODEL_FOR_UNIVERSAL_SEGMENTATION_MAPPING_NAMES]), _W); var AutoModelForObjectDetection = (_X = class extends PretrainedMixin { }, __publicField2(_X, "MODEL_CLASS_MAPPINGS", [MODEL_MAPPINGS.MODEL_FOR_OBJECT_DETECTION_MAPPING_NAMES]), _X); var AutoModelForZeroShotObjectDetection = (_Y = class extends PretrainedMixin { }, __publicField2(_Y, "MODEL_CLASS_MAPPINGS", [MODEL_MAPPINGS.MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING_NAMES]), _Y); var AutoModelForMaskGeneration = (_Z = class extends PretrainedMixin { }, __publicField2(_Z, "MODEL_CLASS_MAPPINGS", [MODEL_MAPPINGS.MODEL_FOR_MASK_GENERATION_MAPPING_NAMES]), _Z); var AutoModelForCTC = (__ = class extends PretrainedMixin { }, __publicField2(__, "MODEL_CLASS_MAPPINGS", [MODEL_MAPPINGS.MODEL_FOR_CTC_MAPPING_NAMES]), __); var AutoModelForAudioClassification = (_$ = class extends PretrainedMixin { }, __publicField2(_$, "MODEL_CLASS_MAPPINGS", [MODEL_MAPPINGS.MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING_NAMES]), _$); var AutoModelForXVector = (_aa = class extends PretrainedMixin { }, __publicField2(_aa, "MODEL_CLASS_MAPPINGS", [MODEL_MAPPINGS.MODEL_FOR_AUDIO_XVECTOR_MAPPING_NAMES]), _aa); var AutoModelForAudioFrameClassification = (_ba = class extends PretrainedMixin { }, __publicField2(_ba, "MODEL_CLASS_MAPPINGS", [MODEL_MAPPINGS.MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPING_NAMES]), _ba); var AutoModelForDocumentQuestionAnswering = (_ca = class extends PretrainedMixin { }, __publicField2(_ca, "MODEL_CLASS_MAPPINGS", [MODEL_MAPPINGS.MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING_NAMES]), _ca); var AutoModelForImageMatting = (_da = class extends PretrainedMixin { }, __publicField2(_da, "MODEL_CLASS_MAPPINGS", [MODEL_MAPPINGS.MODEL_FOR_IMAGE_MATTING_MAPPING_NAMES]), _da); var AutoModelForImageToImage = (_ea = class extends PretrainedMixin { }, __publicField2(_ea, "MODEL_CLASS_MAPPINGS", [MODEL_MAPPINGS.MODEL_FOR_IMAGE_TO_IMAGE_MAPPING_NAMES]), _ea); var AutoModelForDepthEstimation = (_fa = class extends PretrainedMixin { }, __publicField2(_fa, "MODEL_CLASS_MAPPINGS", [MODEL_MAPPINGS.MODEL_FOR_DEPTH_ESTIMATION_MAPPING_NAMES]), _fa); var AutoModelForNormalEstimation = (_ga = class extends PretrainedMixin { }, __publicField2(_ga, "MODEL_CLASS_MAPPINGS", [MODEL_MAPPINGS.MODEL_FOR_NORMAL_ESTIMATION_MAPPING_NAMES]), _ga); var AutoModelForPoseEstimation = (_ha = class extends PretrainedMixin { }, __publicField2(_ha, "MODEL_CLASS_MAPPINGS", [MODEL_MAPPINGS.MODEL_FOR_POSE_ESTIMATION_MAPPING_NAMES]), _ha); var AutoModelForImageFeatureExtraction = (_ia = class extends PretrainedMixin { }, __publicField2(_ia, "MODEL_CLASS_MAPPINGS", [MODEL_MAPPINGS.MODEL_FOR_IMAGE_FEATURE_EXTRACTION_MAPPING_NAMES]), _ia); var AutoModelForImageTextToText = (_ja = class extends PretrainedMixin { }, __publicField2(_ja, "MODEL_CLASS_MAPPINGS", [MODEL_MAPPINGS.MODEL_FOR_IMAGE_TEXT_TO_TEXT_MAPPING_NAMES]), _ja); var AutoModelForAudioTextToText = (_ka = class extends PretrainedMixin { }, __publicField2(_ka, "MODEL_CLASS_MAPPINGS", [MODEL_MAPPINGS.MODEL_FOR_AUDIO_TEXT_TO_TEXT_MAPPING_NAMES]), _ka); async function prepareImages(images) { if (!Array.isArray(images)) { images = [images]; } return await Promise.all(images.map((x) => RawImage.read(x))); } async function prepareAudios(audios, sampling_rate) { if (!Array.isArray(audios)) { audios = [audios]; } return await Promise.all( audios.map((x) => { if (typeof x === "string" || x instanceof URL) { return read_audio(x, sampling_rate); } else if (x instanceof Float64Array) { return new Float32Array(x); } return x; }) ); } function get_bounding_box(box, asInteger) { if (asInteger) { box = box.map((x) => x | 0); } const [xmin, ymin, xmax, ymax] = box; return { xmin, ymin, xmax, ymax }; } var Pipeline = class extends Callable { /** * Create a new Pipeline. * @param {Object} options An object containing the following properties: * @param {string} [options.task] The task of the pipeline. Useful for specifying subtasks. * @param {PreTrainedModel} [options.model] The model used by the pipeline. * @param {PreTrainedTokenizer} [options.tokenizer=null] The tokenizer used by the pipeline (if any). * @param {Processor} [options.processor=null] The processor used by the pipeline (if any). */ constructor({ task, model, tokenizer = null, processor = null }) { super(); this.task = task; this.model = model; this.tokenizer = tokenizer; this.processor = processor; } /** @type {DisposeType} */ async dispose() { await this.model.dispose(); } }; var TextClassificationPipeline = class extends /** @type {new (options: TextPipelineConstructorArgs) => TextClassificationPipelineType} */ Pipeline { async _call(texts, { top_k = 1 } = {}) { const model_inputs = this.tokenizer(texts, { padding: true, truncation: true }); const outputs = await this.model(model_inputs); const { problem_type, id2label } = this.model.config; const function_to_apply = problem_type === "multi_label_classification" ? (batch) => batch.sigmoid() : (batch) => new Tensor2("float32", softmax(batch.data), batch.dims); const toReturn = []; for (const batch of outputs.logits) { const output = function_to_apply(batch); const scores = await topk(output, top_k); const values = scores[0].tolist(); const indices = scores[1].tolist(); const vals = indices.map((x, i) => ({ label: id2label ? id2label[x] : `LABEL_${x}`, score: values[i] })); if (top_k === 1) { toReturn.push(...vals); } else { toReturn.push(vals); } } return Array.isArray(texts) || top_k === 1 ? toReturn : toReturn[0]; } }; var TokenClassificationPipeline = class extends /** @type {new (options: TextPipelineConstructorArgs) => TokenClassificationPipelineType} */ Pipeline { async _call(texts, { ignore_labels = ["O"], aggregation_strategy = "none" } = {}) { if (aggregation_strategy !== "none" && aggregation_strategy !== "simple") { throw new Error( `Invalid aggregation_strategy: "${aggregation_strategy}". Must be one of "none" or "simple".` ); } const isBatched = Array.isArray(texts); const model_inputs = this.tokenizer(isBatched ? texts : [texts], { padding: true, truncation: true }); const outputs = await this.model(model_inputs); const logits = outputs.logits; const id2label = this.model.config.id2label; const toReturn = []; for (let i = 0; i < logits.dims[0]; ++i) { const ids = model_inputs.input_ids[i].tolist(); const batch = logits[i]; const tokens = []; for (let j = 0; j < batch.dims[0]; ++j) { const tokenData = batch[j]; const topScoreIndex = max(tokenData.data)[1]; const entity = id2label ? id2label[topScoreIndex] : `LABEL_${topScoreIndex}`; if (ignore_labels.includes(entity)) continue; const word = this.tokenizer.decode([ids[j]], { skip_special_tokens: true }); if (word === "") continue; const scores = softmax(tokenData.data); tokens.push({ entity, score: scores[topScoreIndex], index: j, word // TODO: Add support for start and end }); } toReturn.push(aggregation_strategy === "simple" ? groupEntities(tokens, ids, this.tokenizer) : tokens); } return isBatched ? toReturn : toReturn[0]; } }; function getTag(entity) { const p = entity[0]; return entity[1] === "-" && (p === "B" || p === "I" || p === "E" || p === "S") ? [p, entity.slice(2)] : ["I", entity]; } function groupEntities(tokens, ids, tokenizer) { const groups = []; let openTag = null; for (let i = 0; i < tokens.length; ++i) { const [prefix, tag] = getTag(tokens[i].entity); const extend = openTag === tag && prefix !== "B" && prefix !== "S"; if (extend) { groups[groups.length - 1].end = i + 1; if (prefix === "E") openTag = null; } else { groups.push({ tag, start: i, end: i + 1 }); openTag = prefix === "S" ? null : tag; } } return groups.map(({ tag, start, end }) => { let scoreSum = 0; const groupIds = []; for (let i = start; i < end; ++i) { scoreSum += tokens[i].score; groupIds.push(ids[tokens[i].index]); } return { entity_group: tag, score: scoreSum / (end - start), word: tokenizer.decode(groupIds, { skip_special_tokens: true }) }; }); } var QuestionAnsweringPipeline = class extends /** @type {new (options: TextPipelineConstructorArgs) => QuestionAnsweringPipelineType} */ Pipeline { async _call(question, context, { top_k = 1 } = {}) { const inputs = this.tokenizer(question, { text_pair: context, padding: true, truncation: true }); const isBatched = Array.isArray(question); const { start_logits, end_logits } = await this.model(inputs); const input_ids = inputs.input_ids.tolist(); const attention_mask = inputs.attention_mask.tolist(); const { all_special_ids, sep_token_id } = this.tokenizer; const batchedResults = []; for (let j = 0; j < start_logits.dims[0]; ++j) { const ids = input_ids[j]; const sepIndex = ids.findIndex( (x) => ( // We use == to match bigint with number // @ts-ignore x == sep_token_id ) ); const start = start_logits[j].tolist(); const end = end_logits[j].tolist(); for (let i = 1; i < start.length; ++i) { if (attention_mask[j] == 0 || // is part of padding i <= sepIndex || // is before the sep_token all_special_ids.findIndex((x) => x == ids[i]) !== -1) { start[i] = -Infinity; end[i] = -Infinity; } } const start_scores = softmax(start).map((x, i) => [x, i]); const end_scores = softmax(end).map((x, i) => [x, i]); start_scores[0][0] = 0; end_scores[0][0] = 0; const options = product(start_scores, end_scores).filter((x) => x[0][1] <= x[1][1]).map((x) => [x[0][1], x[1][1], x[0][0] * x[1][0]]).sort((a, b) => b[2] - a[2]); const sampleResults = []; for (let k2 = 0; k2 < Math.min(options.length, top_k); ++k2) { const [start2, end2, score] = options[k2]; const answer_tokens = ids.slice(start2, end2 + 1); const answer = this.tokenizer.decode(answer_tokens, { skip_special_tokens: true }); sampleResults.push({ answer, score }); } if (top_k === 1) { batchedResults.push(...sampleResults); } else { batchedResults.push(sampleResults); } } return isBatched ? batchedResults : batchedResults[0]; } }; var FillMaskPipeline = class extends /** @type {new (options: TextPipelineConstructorArgs) => FillMaskPipelineType} */ Pipeline { async _call(texts, { top_k = 5 } = {}) { const { mask_token_id, mask_token } = this.tokenizer; const model_inputs = this.tokenizer(texts, { padding: true, truncation: true }); const { logits } = await this.model(model_inputs); const toReturn = []; const input_ids = model_inputs.input_ids.tolist(); for (let i = 0; i < input_ids.length; ++i) { const ids = input_ids[i]; const mask_token_index = ids.findIndex( (x) => ( // We use == to match bigint with number // @ts-ignore - TS2367: Intentional loose equality for bigint/number comparison x == mask_token_id ) ); if (mask_token_index === -1) { throw Error(`Mask token (${mask_token}) not found in text.`); } const itemLogits = logits[i][mask_token_index]; const scores = await topk(new Tensor2("float32", softmax(itemLogits.data), itemLogits.dims), top_k); const values = scores[0].tolist(); const indices = scores[1].tolist(); toReturn.push( indices.map((x, i2) => { const sequence = ids.slice(); sequence[mask_token_index] = x; return { score: values[i2], token: Number(x), token_str: this.tokenizer.decode([x]), sequence: this.tokenizer.decode(sequence, { skip_special_tokens: true }) }; }) ); } return Array.isArray(texts) ? toReturn : toReturn[0]; } }; var Text2TextGenerationPipeline = class extends /** @type {new (options: TextPipelineConstructorArgs) => Text2TextGenerationPipelineType} */ Pipeline { _default_generation_config = { max_new_tokens: 256 // do_sample: true, // temperature: 0.7, }; /** @type {'generated_text'} */ _key = "generated_text"; /** @type {Text2TextGenerationPipelineCallback} */ async _call(texts, generate_kwargs = {}) { if (!Array.isArray(texts)) { texts = [texts]; } if (this.model.config.prefix) { texts = texts.map((x) => this.model.config.prefix + x); } const task_specific_params = this.model.config.task_specific_params; if (task_specific_params && task_specific_params[this.task]) { if (task_specific_params[this.task].prefix) { texts = texts.map((x) => task_specific_params[this.task].prefix + x); } } const tokenizer = this.tokenizer; const tokenizer_options = { padding: true, truncation: true }; let inputs; if (this.task === "translation" && "_build_translation_inputs" in tokenizer) { inputs = tokenizer._build_translation_inputs(texts, tokenizer_options, generate_kwargs); } else { inputs = tokenizer(texts, tokenizer_options); } const outputTokenIds = await this.model.generate({ ...inputs, ...this._default_generation_config, ...generate_kwargs }); return tokenizer.batch_decode( /** @type {Tensor} */ outputTokenIds, { skip_special_tokens: true } ).map((text) => ({ [this._key]: text })); } }; var SummarizationPipeline = class extends /** @type {new (options: TextPipelineConstructorArgs) => SummarizationPipelineType} */ /** @type {any} */ Text2TextGenerationPipeline { /** @type {'summary_text'} */ _key = "summary_text"; }; var TranslationPipeline = class extends /** @type {new (options: TextPipelineConstructorArgs) => TranslationPipelineType} */ /** @type {any} */ Text2TextGenerationPipeline { /** @type {'translation_text'} */ _key = "translation_text"; }; function isChat(x) { return Array.isArray(x) && x.every((x2) => "role" in x2 && "content" in x2); } var TextGenerationPipeline = class extends /** @type {new (options: TextPipelineConstructorArgs) => TextGenerationPipelineType} */ Pipeline { _default_generation_config = { max_new_tokens: 256 // do_sample: true, // temperature: 0.7, }; /** * @param {string | string[] | import('../tokenization_utils.js').Message[] | import('../tokenization_utils.js').Message[][]} texts * @param {Partial} generate_kwargs */ async _call(texts, generate_kwargs = {}) { const { add_special_tokens: add_special_tokens_arg, return_full_text: return_full_text_arg, tools, documents, chat_template, tokenizer_encode_kwargs, ...generation_kwargs } = generate_kwargs; let isBatched = false; let isChatInput = false; let add_special_tokens = add_special_tokens_arg ?? (this.tokenizer.add_bos_token || this.tokenizer.add_eos_token) ?? false; let tokenizer_kwargs = tokenizer_encode_kwargs; let inputs; if (typeof texts === "string") { inputs = texts = [texts]; } else if (Array.isArray(texts) && texts.every((x) => typeof x === "string")) { isBatched = true; inputs = /** @type {string[]} */ texts; } else { if (isChat(texts)) { texts = [ /** @type {Chat} */ texts ]; } else if (Array.isArray(texts) && texts.every(isChat)) { isBatched = true; } else { throw new Error("Input must be a string, an array of strings, a Chat, or an array of Chats"); } isChatInput = true; const chat_template_kwargs = { tokenize: false, add_generation_prompt: true, ...pick({ tools, documents, chat_template }, ["tools", "documents", "chat_template"]), ...tokenizer_kwargs }; inputs = /** @type {string[]} */ /** @type {Chat[]} */ texts.map( (x) => ( /** @type {string} */ /** @type {unknown} */ this.tokenizer.apply_chat_template(x, chat_template_kwargs) ) ); add_special_tokens = false; tokenizer_kwargs = void 0; } const return_full_text = isChatInput ? false : return_full_text_arg ?? true; this.tokenizer.padding_side = "left"; const text_inputs = this.tokenizer(inputs, { add_special_tokens, padding: true, truncation: true, ...tokenizer_kwargs }); const outputTokenIds = ( /** @type {Tensor} */ await this.model.generate({ ...text_inputs, ...this._default_generation_config, ...generation_kwargs }) ); const decoded = this.tokenizer.batch_decode(outputTokenIds, { skip_special_tokens: true }); let promptLengths; if (!return_full_text && text_inputs.input_ids.dims.at(-1) > 0) { promptLengths = this.tokenizer.batch_decode(text_inputs.input_ids, { skip_special_tokens: true }).map((x) => x.length); } const toReturn = Array.from({ length: texts.length }, (_) => []); for (let i = 0; i < decoded.length; ++i) { const textIndex = Math.floor(i / outputTokenIds.dims[0] * texts.length); if (promptLengths) { decoded[i] = decoded[i].slice(promptLengths[textIndex]); } toReturn[textIndex].push( /** @type {TextGenerationSingle} */ { generated_text: isChatInput ? [.../** @type {Chat[]} */ texts[textIndex], { role: "assistant", content: decoded[i] }] : decoded[i] } ); } return !isBatched && toReturn.length === 1 ? toReturn[0] : toReturn; } }; var ZeroShotClassificationPipeline = class extends /** @type {new (options: TextPipelineConstructorArgs) => ZeroShotClassificationPipelineType} */ Pipeline { /** * Create a new ZeroShotClassificationPipeline. * @param {TextPipelineConstructorArgs} options An object used to instantiate the pipeline. */ constructor(options) { super(options); this.label2id = Object.fromEntries( Object.entries( /** @type {any} */ this.model.config.label2id ).map(([k2, v]) => [k2.toLowerCase(), v]) ); this.entailment_id = this.label2id["entailment"]; if (this.entailment_id === void 0) { logger.warn("Could not find 'entailment' in label2id mapping. Using 2 as entailment_id."); this.entailment_id = 2; } this.contradiction_id = this.label2id["contradiction"] ?? this.label2id["not_entailment"]; if (this.contradiction_id === void 0) { logger.warn("Could not find 'contradiction' in label2id mapping. Using 0 as contradiction_id."); this.contradiction_id = 0; } } async _call(texts, candidate_labels, { hypothesis_template = "This example is {}.", multi_label = false } = {}) { const isBatched = Array.isArray(texts); if (!isBatched) { texts = [ /** @type {string} */ texts ]; } if (!Array.isArray(candidate_labels)) { candidate_labels = [candidate_labels]; } const hypotheses = candidate_labels.map((x) => hypothesis_template.replace("{}", x)); const softmaxEach = multi_label || candidate_labels.length === 1; const toReturn = []; for (const premise of texts) { const entails_logits = []; for (const hypothesis of hypotheses) { const inputs = this.tokenizer(premise, { text_pair: hypothesis, padding: true, truncation: true }); const outputs = await this.model(inputs); if (softmaxEach) { entails_logits.push([ outputs.logits.data[this.contradiction_id], outputs.logits.data[this.entailment_id] ]); } else { entails_logits.push(outputs.logits.data[this.entailment_id]); } } const scores = softmaxEach ? entails_logits.map((x) => softmax(x)[1]) : softmax(entails_logits); const scores_sorted = scores.map((x, i) => [x, i]).sort((a, b) => b[0] - a[0]); toReturn.push({ sequence: premise, labels: scores_sorted.map((x) => candidate_labels[x[1]]), scores: scores_sorted.map((x) => x[0]) }); } return isBatched ? toReturn : toReturn[0]; } }; var AudioClassificationPipeline = class extends /** @type {new (options: AudioPipelineConstructorArgs) => AudioClassificationPipelineType} */ Pipeline { async _call(audio, { top_k = 5 } = {}) { const sampling_rate = this.processor.feature_extractor.config.sampling_rate; const preparedAudios = await prepareAudios(audio, sampling_rate); const id2label = this.model.config.id2label; const toReturn = []; for (const aud of preparedAudios) { const inputs = await this.processor(aud); const output = await this.model(inputs); const logits = output.logits[0]; const scores = await topk(new Tensor2("float32", softmax(logits.data), logits.dims), top_k); const values = scores[0].tolist(); const indices = scores[1].tolist(); const vals = indices.map((x, i) => ({ label: ( /** @type {string} */ id2label ? id2label[x] : `LABEL_${x}` ), score: ( /** @type {number} */ values[i] ) })); toReturn.push(vals); } return Array.isArray(audio) ? toReturn : toReturn[0]; } }; var ZeroShotAudioClassificationPipeline = class extends /** @type {new (options: TextAudioPipelineConstructorArgs) => ZeroShotAudioClassificationPipelineType} */ Pipeline { async _call(audio, candidate_labels, { hypothesis_template = "This is a sound of {}." } = {}) { const single = !Array.isArray(audio); if (single) { audio = [ /** @type {AudioInput} */ audio ]; } const texts = candidate_labels.map((x) => hypothesis_template.replace("{}", x)); const text_inputs = this.tokenizer(texts, { padding: true, truncation: true }); const sampling_rate = this.processor.feature_extractor.config.sampling_rate; const preparedAudios = await prepareAudios(audio, sampling_rate); const toReturn = []; for (const aud of preparedAudios) { const audio_inputs = await this.processor(aud); const output = await this.model({ ...text_inputs, ...audio_inputs }); const probs = softmax(output.logits_per_audio.data); toReturn.push( [...probs].map((x, i) => ({ score: x, label: candidate_labels[i] })) ); } return single ? toReturn[0] : toReturn; } }; var AutomaticSpeechRecognitionPipeline = class extends /** @type {new (options: TextAudioPipelineConstructorArgs) => AutomaticSpeechRecognitionPipelineType} */ Pipeline { _default_generation_config = { // TODO: figure out good defaults for ASR generation parameters // max_new_tokens: 256, // num_beams: 5, }; async _call(audio, kwargs = {}) { kwargs = { ...this._default_generation_config, ...kwargs }; switch (this.model.config.model_type) { case "whisper": case "lite-whisper": return this._call_whisper(audio, kwargs); case "wav2vec2": case "wav2vec2-bert": case "unispeech": case "unispeech-sat": case "hubert": case "parakeet_ctc": return this._call_wav2vec2(audio, kwargs); case "moonshine": return this._call_moonshine(audio, kwargs); case "cohere_asr": return this._call_cohere_asr(audio, kwargs); default: throw new Error( `AutomaticSpeechRecognitionPipeline does not support model type '${this.model.config.model_type}'.` ); } } async _call_wav2vec2(audio, kwargs) { if (kwargs.language) { logger.warn('`language` parameter is not yet supported for `wav2vec2` models, defaulting to "English".'); } if (kwargs.task) { logger.warn('`task` parameter is not yet supported for `wav2vec2` models, defaulting to "transcribe".'); } const single = !Array.isArray(audio); const batchedAudio = single ? [audio] : audio; const sampling_rate = this.processor.feature_extractor.config.sampling_rate; const preparedAudios = await prepareAudios(batchedAudio, sampling_rate); const toReturn = []; for (const aud of preparedAudios) { const inputs = await this.processor(aud); const output = await this.model(inputs); const logits = output.logits[0]; const predicted_ids = []; for (const item of logits) { predicted_ids.push(max(item.data)[1]); } const predicted_sentences = this.tokenizer.decode(predicted_ids, { skip_special_tokens: true }).trim(); toReturn.push({ text: predicted_sentences }); } return single ? toReturn[0] : toReturn; } async _call_whisper(audio, kwargs) { const return_timestamps = kwargs.return_timestamps ?? false; const chunk_length_s = kwargs.chunk_length_s ?? 0; const force_full_sequences = kwargs.force_full_sequences ?? false; let stride_length_s = kwargs.stride_length_s ?? null; const generation_config = { ...kwargs }; if (return_timestamps === "word") { generation_config["return_token_timestamps"] = true; generation_config["return_timestamps"] = true; } const single = !Array.isArray(audio); const batchedAudio = single ? [audio] : audio; const feature_extractor_config = this.processor.feature_extractor.config; const time_precision = feature_extractor_config.chunk_length / this.model.config.max_source_positions; const hop_length = feature_extractor_config.hop_length; const sampling_rate = feature_extractor_config.sampling_rate; const preparedAudios = await prepareAudios(batchedAudio, sampling_rate); const toReturn = []; for (const aud of preparedAudios) { let chunks = []; if (chunk_length_s > 0) { if (stride_length_s === null) { stride_length_s = chunk_length_s / 6; } else if (chunk_length_s <= stride_length_s) { throw Error("`chunk_length_s` must be larger than `stride_length_s`."); } const window2 = sampling_rate * chunk_length_s; const stride = sampling_rate * stride_length_s; const jump = window2 - 2 * stride; let offset = 0; while (true) { const offset_end = offset + window2; const subarr = aud.subarray(offset, offset_end); const feature = await this.processor(subarr); const is_first = offset === 0; const is_last = offset_end >= aud.length; chunks.push({ stride: [subarr.length, is_first ? 0 : stride, is_last ? 0 : stride], input_features: feature.input_features, is_last }); if (is_last) break; offset += jump; } } else { chunks = [ { stride: [aud.length, 0, 0], input_features: (await this.processor(aud)).input_features, is_last: true } ]; } for (const chunk2 of chunks) { generation_config.num_frames = Math.floor(chunk2.stride[0] / hop_length); const data = await this.model.generate({ inputs: chunk2.input_features, ...generation_config }); if (return_timestamps === "word") { const sequences = data.sequences.tolist()[0]; const token_ts = data.token_timestamps.tolist()[0]; const timestamp_begin = this.tokenizer.timestamp_begin; const prefixLength = Math.max( sequences.findIndex((t) => Number(t) >= timestamp_begin), 0 ); chunk2.tokens = sequences.slice(prefixLength); chunk2.token_timestamps = token_ts.slice(prefixLength).map((x) => round(x, 2)); } else { chunk2.tokens = /** @type {Tensor} */ data[0].tolist(); } chunk2.stride = chunk2.stride.map((x) => x / sampling_rate); } const [full_text, optional] = this.tokenizer._decode_asr(chunks, { time_precision, return_timestamps, force_full_sequences }); toReturn.push({ text: full_text, ...optional }); } return single ? toReturn[0] : toReturn; } async _call_moonshine(audio, kwargs) { const single = !Array.isArray(audio); const batchedAudio = single ? [audio] : audio; const sampling_rate = this.processor.feature_extractor.config.sampling_rate; const preparedAudios = await prepareAudios(batchedAudio, sampling_rate); const toReturn = []; for (const aud of preparedAudios) { const inputs = await this.processor(aud); const max_new_tokens = Math.floor(aud.length / sampling_rate) * 6; const outputs = await this.model.generate({ max_new_tokens, ...kwargs, ...inputs }); const text = this.processor.batch_decode( /** @type {Tensor} */ outputs, { skip_special_tokens: true } )[0]; toReturn.push({ text }); } return single ? toReturn[0] : toReturn; } async _call_cohere_asr(audio, kwargs) { const single = !Array.isArray(audio); const batchedAudio = single ? [audio] : audio; const feature_extractor = this.processor.feature_extractor; const sampling_rate = feature_extractor.config.sampling_rate; const preparedAudios = await prepareAudios(batchedAudio, sampling_rate); const language = kwargs.language ?? "en"; const decoder_input_ids = this.processor.get_decoder_prompt_ids(language); const toReturn = []; for (const aud of preparedAudios) { const audioChunks = feature_extractor.split_audio(aud); const chunk_texts = []; for (const chunk2 of audioChunks) { const inputs = await this.processor(chunk2); const outputs = await this.model.generate({ ...inputs, decoder_input_ids, ...kwargs }); const text = this.tokenizer.decode( /** @type {Tensor} */ outputs[0].tolist(), { skip_special_tokens: true } ).trim(); chunk_texts.push(text); } const full_text = this.processor.constructor.join_chunks(chunk_texts, language); toReturn.push({ text: full_text }); } return single ? toReturn[0] : toReturn; } }; var TextToAudioPipeline = class extends /** @type {new (options: TextToAudioPipelineConstructorArgs) => TextToAudioPipelineType} */ Pipeline { DEFAULT_VOCODER_ID = "Xenova/speecht5_hifigan"; /** * Create a new TextToAudioPipeline. * @param {TextToAudioPipelineConstructorArgs} options An object used to instantiate the pipeline. */ constructor(options) { super(options); this.vocoder = options.vocoder ?? null; } async _prepare_speaker_embeddings(speaker_embeddings, batch_size) { if (typeof speaker_embeddings === "string" || speaker_embeddings instanceof URL) { speaker_embeddings = new Float32Array(await (await env.fetch(speaker_embeddings)).arrayBuffer()); } if (speaker_embeddings instanceof Float32Array) { speaker_embeddings = new Tensor2("float32", speaker_embeddings, [speaker_embeddings.length]); } else if (!(speaker_embeddings instanceof Tensor2)) { throw new Error("Speaker embeddings must be a `Tensor`, `Float32Array`, `string`, or `URL`."); } if (batch_size > 1) { if (speaker_embeddings.dims[0] === 1) { speaker_embeddings = speaker_embeddings.repeat(batch_size, 1); } else if (speaker_embeddings.dims[0] !== batch_size) { throw new Error( `Expected speaker embeddings batch size to be 1 or ${batch_size}, but got ${speaker_embeddings.dims[0]}.` ); } } return speaker_embeddings; } /** * Helper to convert batched waveform tensor to RawAudio output(s). * @param {string|string[]} text_inputs Original text input(s) to determine return type. * @param {Tensor} waveform The waveform tensor of shape [batch_size, waveform_length]. * @param {number} sampling_rate The audio sampling rate. * @param {Tensor} [durations] Optional durations tensor for trimming (used by Supertonic). * @returns {RawAudio|RawAudio[]} Single RawAudio or array based on input type. * @private */ _postprocess_waveform(text_inputs, waveform, sampling_rate, durations = null) { const waveformData = ( /** @type {Float32Array} */ waveform.data ); const [batch_size, waveformLength] = waveform.dims; const durationsData = durations ? ( /** @type {Float32Array} */ durations.data ) : null; const results = []; for (let i = 0; i < batch_size; ++i) { const length = durationsData ? Math.min(Math.ceil(durationsData[i]), waveformLength) : waveformLength; const start = i * waveformLength; results.push(new RawAudio(waveformData.slice(start, start + length), sampling_rate)); } return Array.isArray(text_inputs) ? results : results[0]; } async _call(text_inputs, options) { if (this.processor) { return this._call_text_to_spectrogram(text_inputs, options); } else if (this.model.config.model_type === "supertonic") { return this._call_supertonic(text_inputs, options); } else { return this._call_text_to_waveform(text_inputs); } } async _call_supertonic(text_inputs, { speaker_embeddings, num_inference_steps, speed }) { if (!speaker_embeddings) { throw new Error("Speaker embeddings must be provided for Supertonic models."); } const { sampling_rate, style_dim } = this.model.config; const inputs = this.tokenizer(text_inputs, { padding: true, truncation: true }); const batch_size = inputs.input_ids.dims[0]; speaker_embeddings = await this._prepare_speaker_embeddings(speaker_embeddings, batch_size); speaker_embeddings = /** @type {Tensor} */ speaker_embeddings.view(batch_size, -1, style_dim); const { waveform, durations } = await this.model.generate_speech({ ...inputs, style: speaker_embeddings, num_inference_steps, speed }); return this._postprocess_waveform(text_inputs, waveform, sampling_rate, durations); } async _call_text_to_waveform(text_inputs) { const inputs = this.tokenizer(text_inputs, { padding: true, truncation: true }); const { waveform } = await this.model(inputs); const sampling_rate = this.model.config.sampling_rate; return this._postprocess_waveform(text_inputs, waveform, sampling_rate); } async _call_text_to_spectrogram(text_inputs, { speaker_embeddings }) { if (!this.vocoder) { logger.info("No vocoder specified, using default HifiGan vocoder."); this.vocoder = await AutoModel.from_pretrained(this.DEFAULT_VOCODER_ID, { dtype: "fp32" }); } const { input_ids } = this.tokenizer(text_inputs, { padding: true, truncation: true }); const batch_size = input_ids.dims[0]; speaker_embeddings = await this._prepare_speaker_embeddings(speaker_embeddings, batch_size); speaker_embeddings = speaker_embeddings.view(batch_size, -1); const { waveform } = await this.model.generate_speech(input_ids, speaker_embeddings, { vocoder: this.vocoder }); const sampling_rate = this.processor.feature_extractor.config.sampling_rate; return this._postprocess_waveform(text_inputs, waveform, sampling_rate); } }; var ImageToTextPipeline = class extends /** @type {new (options: TextImagePipelineConstructorArgs) => ImageToTextPipelineType} */ Pipeline { async _call(images, generate_kwargs = {}) { const isBatched = Array.isArray(images); const preparedImages = await prepareImages(images); const { pixel_values } = await this.processor(preparedImages); const toReturn = []; for (const batch of pixel_values) { batch.dims = [1, ...batch.dims]; const output = await this.model.generate({ inputs: batch, ...generate_kwargs }); const decoded = this.tokenizer.batch_decode( /** @type {Tensor} */ output, { skip_special_tokens: true } ).map((x) => ({ generated_text: x.trim() })); toReturn.push(decoded); } return isBatched ? toReturn : toReturn[0]; } }; var ImageClassificationPipeline = class extends /** @type {new (options: ImagePipelineConstructorArgs) => ImageClassificationPipelineType} */ Pipeline { async _call(images, { top_k = 5 } = {}) { const preparedImages = await prepareImages(images); const { pixel_values } = await this.processor(preparedImages); const output = await this.model({ pixel_values }); const { id2label } = this.model.config; const toReturn = []; for (const batch of output.logits) { const scores = await topk(new Tensor2("float32", softmax(batch.data), batch.dims), top_k); const values = scores[0].tolist(); const indices = scores[1].tolist(); const vals = indices.map((x, i) => ({ label: ( /** @type {string} */ id2label ? id2label[x] : `LABEL_${x}` ), score: ( /** @type {number} */ values[i] ) })); toReturn.push(vals); } return Array.isArray(images) ? toReturn : toReturn[0]; } }; var SUBTASKS_MAPPING = { // Mapping of subtasks to their corresponding post-processing function names. panoptic: "post_process_panoptic_segmentation", instance: "post_process_instance_segmentation", semantic: "post_process_semantic_segmentation" }; var ImageSegmentationPipeline = class extends /** @type {new (options: ImagePipelineConstructorArgs) => ImageSegmentationPipelineType} */ Pipeline { /** @type {ImageSegmentationPipelineCallback} */ async _call(images, { threshold = 0.5, mask_threshold = 0.5, overlap_mask_area_threshold = 0.8, label_ids_to_fuse = null, target_sizes = null, subtask = null } = {}) { const isBatched = Array.isArray(images); if (isBatched && images.length !== 1) { throw Error("Image segmentation pipeline currently only supports a batch size of 1."); } const preparedImages = await prepareImages(images); const imageSizes = preparedImages.map((x) => [x.height, x.width]); const inputs = await this.processor(preparedImages); const { inputNames, outputNames } = this.model.sessions["model"]; if (!inputNames.includes("pixel_values")) { if (inputNames.length !== 1) { throw Error(`Expected a single input name, but got ${inputNames.length} inputs: ${inputNames}.`); } const newName = inputNames[0]; if (newName in inputs) { throw Error(`Input name ${newName} already exists in the inputs.`); } inputs[newName] = inputs.pixel_values; } const output = await this.model(inputs); let fn22 = null; if (subtask !== null) { fn22 = SUBTASKS_MAPPING[subtask]; } else if (this.processor.image_processor) { for (const [task, func] of Object.entries(SUBTASKS_MAPPING)) { if (func in this.processor.image_processor) { fn22 = this.processor.image_processor[func].bind(this.processor.image_processor); subtask = task; break; } } } const id2label = this.model.config.id2label; const annotation = []; if (!subtask) { const epsilon = 1e-5; const result = output[outputNames[0]]; for (let i = 0; i < imageSizes.length; ++i) { const size = imageSizes[i]; const item = result[i]; if (item.data.some((x) => x < -epsilon || x > 1 + epsilon)) { item.sigmoid_(); } const mask = await RawImage.fromTensor(item.mul_(255).to("uint8")).resize(size[1], size[0]); annotation.push({ label: null, score: null, mask }); } } else if (subtask === "panoptic" || subtask === "instance") { const processed = fn22( output, threshold, mask_threshold, overlap_mask_area_threshold, label_ids_to_fuse, target_sizes ?? imageSizes // TODO FIX? )[0]; const segmentation = processed.segmentation; for (const segment of processed.segments_info) { const maskData = new Uint8ClampedArray(segmentation.data.length); for (let i = 0; i < segmentation.data.length; ++i) { if (segmentation.data[i] === segment.id) { maskData[i] = 255; } } const mask = new RawImage(maskData, segmentation.dims[1], segmentation.dims[0], 1); annotation.push({ score: segment.score, label: id2label[segment.label_id], mask }); } } else if (subtask === "semantic") { const { segmentation, labels } = fn22(output, target_sizes ?? imageSizes)[0]; for (const label of labels) { const maskData = new Uint8ClampedArray(segmentation.data.length); for (let i = 0; i < segmentation.data.length; ++i) { if (segmentation.data[i] === label) { maskData[i] = 255; } } const mask = new RawImage(maskData, segmentation.dims[1], segmentation.dims[0], 1); annotation.push({ score: null, label: id2label[label], mask }); } } else { throw Error(`Subtask ${subtask} not supported.`); } return annotation; } }; var BackgroundRemovalPipeline = class extends /** @type {new (options: ImagePipelineConstructorArgs) => BackgroundRemovalPipelineType} */ /** @type {any} */ ImageSegmentationPipeline { async _call(images, options = {}) { const preparedImages = await prepareImages(images); const masks = await super._call(images, options); const result = preparedImages.map((img, i) => { const cloned = img.clone(); cloned.putAlpha(masks[i].mask); return cloned; }); return Array.isArray(images) ? result : result[0]; } }; var ZeroShotImageClassificationPipeline = class extends /** @type {new (options: TextImagePipelineConstructorArgs) => ZeroShotImageClassificationPipelineType} */ Pipeline { async _call(images, candidate_labels, { hypothesis_template = "This is a photo of {}" } = {}) { const isBatched = Array.isArray(images); const preparedImages = await prepareImages(images); const texts = candidate_labels.map((x) => hypothesis_template.replace("{}", x)); const text_inputs = this.tokenizer(texts, { padding: this.model.config.model_type === "siglip" ? "max_length" : true, truncation: true }); const { pixel_values } = await this.processor(preparedImages); const output = await this.model({ ...text_inputs, pixel_values }); const function_to_apply = this.model.config.model_type === "siglip" ? (batch) => batch.sigmoid().data : (batch) => softmax(batch.data); const toReturn = []; for (const batch of output.logits_per_image) { const probs = function_to_apply(batch); const result = [...probs].map((x, i) => ({ score: x, label: candidate_labels[i] })); result.sort((a, b) => b.score - a.score); toReturn.push(result); } return isBatched ? toReturn : toReturn[0]; } }; var ObjectDetectionPipeline = class extends /** @type {new (options: ImagePipelineConstructorArgs) => ObjectDetectionPipelineType} */ Pipeline { async _call(images, { threshold = 0.9, percentage = false } = {}) { const isBatched = Array.isArray(images); if (isBatched && images.length !== 1) { throw Error("Object detection pipeline currently only supports a batch size of 1."); } const preparedImages = await prepareImages(images); const imageSizes = percentage ? null : preparedImages.map((x) => [x.height, x.width]); const { pixel_values, pixel_mask } = await this.processor(preparedImages); const output = await this.model({ pixel_values, pixel_mask }); const processed = this.processor.image_processor.post_process_object_detection(output, threshold, imageSizes); const { id2label } = this.model.config; const result = processed.map( (batch) => batch.boxes.map((box, i) => ({ score: batch.scores[i], label: id2label[batch.classes[i]], box: get_bounding_box(box, !percentage) })) ); return isBatched ? result : result[0]; } }; var ZeroShotObjectDetectionPipeline = class extends /** @type {new (options: TextImagePipelineConstructorArgs) => ZeroShotObjectDetectionPipelineType} */ Pipeline { async _call(images, candidate_labels, { threshold = 0.1, top_k = null, percentage = false } = {}) { const isBatched = Array.isArray(images); const preparedImages = await prepareImages(images); const text_inputs = this.tokenizer(candidate_labels, { padding: true, truncation: true }); const model_inputs = await this.processor(preparedImages); const toReturn = []; for (let i = 0; i < preparedImages.length; ++i) { const image = preparedImages[i]; const imageSize = percentage ? null : [[image.height, image.width]]; const pixel_values = model_inputs.pixel_values[i].unsqueeze_(0); const output = await this.model({ ...text_inputs, pixel_values }); let result; if ("post_process_grounded_object_detection" in this.processor) { const processed = this.processor.post_process_grounded_object_detection(output, text_inputs.input_ids, { // TODO: support separate threshold values box_threshold: threshold, text_threshold: threshold, target_sizes: imageSize })[0]; result = processed.boxes.map((box, i2) => ({ score: processed.scores[i2], label: processed.labels[i2], box: get_bounding_box(box, !percentage) })); } else { const processed = this.processor.image_processor.post_process_object_detection( output, threshold, imageSize, true )[0]; result = processed.boxes.map((box, i2) => ({ score: processed.scores[i2], label: candidate_labels[processed.classes[i2]], box: get_bounding_box(box, !percentage) })); } result.sort((a, b) => b.score - a.score); if (top_k !== null) { result = result.slice(0, top_k); } toReturn.push(result); } return isBatched ? toReturn : toReturn[0]; } }; var DocumentQuestionAnsweringPipeline = class extends /** @type {new (options: TextImagePipelineConstructorArgs) => DocumentQuestionAnsweringPipelineType} */ Pipeline { _default_generation_config = { max_new_tokens: 256 }; async _call(image, question, generate_kwargs = {}) { if (Array.isArray(image)) { if (image.length !== 1) { throw Error("Document Question Answering pipeline currently only supports a batch size of 1."); } image = image[0]; } const preparedImage = (await prepareImages(image))[0]; const { pixel_values } = await this.processor(preparedImage); const task_prompt = `${question}`; const decoder_input_ids = this.tokenizer(task_prompt, { add_special_tokens: false, padding: true, truncation: true }).input_ids; const output = await this.model.generate({ inputs: pixel_values, // @ts-expect-error Ts2339 max_length: this.model.config.decoder.max_position_embeddings, decoder_input_ids, ...this._default_generation_config, ...generate_kwargs }); const decoded = this.tokenizer.batch_decode( /** @type {Tensor} */ output )[0]; const match = decoded.match(/(.*?)<\/s_answer>/); let answer = null; if (match && match.length >= 2) { answer = match[1].trim(); } return [{ answer }]; } }; var ImageToImagePipeline = class extends /** @type {new (options: ImagePipelineConstructorArgs) => ImageToImagePipelineType} */ Pipeline { async _call(images) { const preparedImages = await prepareImages(images); const inputs = await this.processor(preparedImages); const outputs = await this.model(inputs); const toReturn = []; for (const batch of outputs.reconstruction) { const output = batch.squeeze().clamp_(0, 1).mul_(255).round_().to("uint8"); toReturn.push(RawImage.fromTensor(output)); } return Array.isArray(images) ? toReturn : toReturn[0]; } }; var DepthEstimationPipeline = class extends /** @type {new (options: ImagePipelineConstructorArgs) => DepthEstimationPipelineType} */ Pipeline { async _call(images) { const preparedImages = await prepareImages(images); const inputs = await this.processor(preparedImages); const { predicted_depth } = await this.model(inputs); const toReturn = []; for (let i = 0; i < preparedImages.length; ++i) { const batch = predicted_depth[i]; const [height, width] = batch.dims.slice(-2); const [new_width, new_height] = preparedImages[i].size; const prediction = (await interpolate_4d(batch.view(1, 1, height, width), { size: [new_height, new_width], mode: "bilinear" })).view(new_height, new_width); const minval = ( /** @type {number} */ prediction.min().item() ); const maxval = ( /** @type {number} */ prediction.max().item() ); const formatted = prediction.sub(minval).div_(maxval - minval).mul_(255).to("uint8").unsqueeze(0); const depth = RawImage.fromTensor(formatted); toReturn.push({ predicted_depth: prediction, depth }); } return Array.isArray(images) ? toReturn : toReturn[0]; } }; var FeatureExtractionPipeline = class extends /** @type {new (options: TextPipelineConstructorArgs) => FeatureExtractionPipelineType} */ Pipeline { /** @type {FeatureExtractionPipelineCallback} */ async _call(texts, { pooling = ( /** @type {'none'} */ "none" ), normalize = false, quantize = false, precision = ( /** @type {'binary'} */ "binary" ) } = {}) { const model_inputs = this.tokenizer(texts, { padding: true, truncation: true }); const outputs = await this.model(model_inputs); let result = outputs.last_hidden_state ?? outputs.logits ?? outputs.token_embeddings; switch (pooling) { case "none": break; case "mean": result = mean_pooling(result, model_inputs.attention_mask); break; case "first_token": case "cls": result = result.slice(null, 0); break; case "last_token": case "eos": result = result.slice(null, -1); break; default: throw Error(`Pooling method '${pooling}' not supported.`); } if (normalize) { result = result.normalize(2, -1); } if (quantize) { result = quantize_embeddings(result, precision); } return result; } }; var ImageFeatureExtractionPipeline = class extends /** @type {new (options: ImagePipelineConstructorArgs) => ImageFeatureExtractionPipelineType} */ Pipeline { /** @type {ImageFeatureExtractionPipelineCallback} */ async _call(images, { pool = null } = {}) { const preparedImages = await prepareImages(images); const { pixel_values } = await this.processor(preparedImages); const outputs = await this.model({ pixel_values }); let result; if (pool) { if (!("pooler_output" in outputs)) { throw Error( `No pooled output was returned. Make sure the model has a 'pooler' layer when using the 'pool' option.` ); } result = outputs.pooler_output; } else { result = outputs.last_hidden_state ?? outputs.logits ?? outputs.image_embeds; } return result; } }; var SUPPORTED_TASKS = Object.freeze({ "text-classification": { pipeline: TextClassificationPipeline, model: AutoModelForSequenceClassification, default: { model: "Xenova/distilbert-base-uncased-finetuned-sst-2-english" }, type: "text" }, "token-classification": { pipeline: TokenClassificationPipeline, model: AutoModelForTokenClassification, default: { model: "Xenova/bert-base-multilingual-cased-ner-hrl" }, type: "text" }, "question-answering": { pipeline: QuestionAnsweringPipeline, model: AutoModelForQuestionAnswering, default: { model: "Xenova/distilbert-base-cased-distilled-squad" }, type: "text" }, "fill-mask": { pipeline: FillMaskPipeline, model: AutoModelForMaskedLM, default: { model: "onnx-community/ettin-encoder-32m-ONNX", dtype: "fp32" }, type: "text" }, summarization: { pipeline: SummarizationPipeline, model: AutoModelForSeq2SeqLM, default: { model: "Xenova/distilbart-cnn-6-6" }, type: "text" }, translation: { pipeline: TranslationPipeline, model: AutoModelForSeq2SeqLM, default: { model: "Xenova/t5-small" }, type: "text" }, "text2text-generation": { pipeline: Text2TextGenerationPipeline, model: AutoModelForSeq2SeqLM, default: { model: "Xenova/flan-t5-small" }, type: "text" }, "text-generation": { pipeline: TextGenerationPipeline, model: AutoModelForCausalLM, default: { model: "onnx-community/Qwen3-0.6B-ONNX", dtype: "q4" }, type: "text" }, "zero-shot-classification": { pipeline: ZeroShotClassificationPipeline, model: AutoModelForSequenceClassification, default: { model: "Xenova/distilbert-base-uncased-mnli" }, type: "text" }, "audio-classification": { pipeline: AudioClassificationPipeline, model: AutoModelForAudioClassification, default: { model: "Xenova/wav2vec2-base-superb-ks" }, type: "audio" }, "zero-shot-audio-classification": { pipeline: ZeroShotAudioClassificationPipeline, model: AutoModel, default: { model: "Xenova/clap-htsat-unfused" }, type: "multimodal" }, "automatic-speech-recognition": { pipeline: AutomaticSpeechRecognitionPipeline, model: [AutoModelForSpeechSeq2Seq, AutoModelForCTC], default: { model: "Xenova/whisper-tiny.en" }, type: "multimodal" }, "text-to-audio": { pipeline: TextToAudioPipeline, model: [AutoModelForTextToWaveform, AutoModelForTextToSpectrogram], default: { model: "onnx-community/Supertonic-TTS-ONNX", dtype: "fp32" }, type: "text" }, "image-to-text": { pipeline: ImageToTextPipeline, model: AutoModelForVision2Seq, default: { model: "Xenova/vit-gpt2-image-captioning" }, type: "multimodal" }, "image-classification": { pipeline: ImageClassificationPipeline, model: AutoModelForImageClassification, default: { model: "Xenova/vit-base-patch16-224" }, type: "multimodal" }, "image-segmentation": { pipeline: ImageSegmentationPipeline, model: [AutoModelForImageSegmentation, AutoModelForSemanticSegmentation, AutoModelForUniversalSegmentation], default: { model: "Xenova/detr-resnet-50-panoptic" }, type: "multimodal" }, "background-removal": { pipeline: BackgroundRemovalPipeline, model: [AutoModelForImageSegmentation, AutoModelForSemanticSegmentation, AutoModelForUniversalSegmentation], default: { model: "Xenova/modnet" }, type: "image" }, "zero-shot-image-classification": { pipeline: ZeroShotImageClassificationPipeline, model: AutoModel, default: { model: "Xenova/clip-vit-base-patch32" }, type: "multimodal" }, "object-detection": { pipeline: ObjectDetectionPipeline, model: AutoModelForObjectDetection, default: { model: "Xenova/detr-resnet-50" }, type: "multimodal" }, "zero-shot-object-detection": { pipeline: ZeroShotObjectDetectionPipeline, model: AutoModelForZeroShotObjectDetection, default: { model: "Xenova/owlvit-base-patch32" }, type: "multimodal" }, "document-question-answering": { pipeline: DocumentQuestionAnsweringPipeline, model: AutoModelForDocumentQuestionAnswering, default: { model: "Xenova/donut-base-finetuned-docvqa" }, type: "multimodal" }, "image-to-image": { pipeline: ImageToImagePipeline, model: AutoModelForImageToImage, default: { model: "Xenova/swin2SR-classical-sr-x2-64" }, type: "image" }, "depth-estimation": { pipeline: DepthEstimationPipeline, model: AutoModelForDepthEstimation, default: { model: "onnx-community/depth-anything-v2-small" }, type: "image" }, "feature-extraction": { pipeline: FeatureExtractionPipeline, model: AutoModel, default: { model: "onnx-community/all-MiniLM-L6-v2-ONNX", dtype: "fp32" }, type: "text" }, "image-feature-extraction": { pipeline: ImageFeatureExtractionPipeline, model: [AutoModelForImageFeatureExtraction, AutoModel], default: { model: "onnx-community/dinov3-vits16-pretrain-lvd1689m-ONNX", dtype: "fp32" }, type: "image" } }); var TASK_ALIASES = Object.freeze({ "sentiment-analysis": "text-classification", ner: "token-classification", // "vqa": "visual-question-answering", // TODO: Add asr: "automatic-speech-recognition", "text-to-speech": "text-to-audio", // Add for backwards compatibility embeddings: "feature-extraction" }); async function get_processor_files(modelId) { if (!modelId) { throw new Error("modelId is required"); } const metadata = await get_file_metadata(modelId, IMAGE_PROCESSOR_NAME, {}); return metadata.exists ? [IMAGE_PROCESSOR_NAME] : []; } async function get_files(modelId, { config = null, dtype = null, device = null, model_file_name = null, include_tokenizer = true, include_processor = true } = {}) { const files = await get_model_files(modelId, { config, dtype, device, model_file_name }); if (include_tokenizer) { const tokenizerFiles = await get_tokenizer_files(modelId); files.push(...tokenizerFiles); } if (include_processor) { const processorFiles = await get_processor_files(modelId); files.push(...processorFiles); } return files; } async function get_pipeline_files(task, modelId, options = {}) { task = TASK_ALIASES[task] ?? task; const taskConfig = SUPPORTED_TASKS[task]; if (!taskConfig) { throw new Error( `Unsupported pipeline task: ${task}. Must be one of [${Object.keys(SUPPORTED_TASKS).join(", ")}]` ); } const { type } = taskConfig; const include_tokenizer = type !== "audio" && type !== "image"; const include_processor = type !== "text"; const files = await get_files(modelId, { ...options, include_tokenizer, include_processor }); if (task === "text-generation") { const config = await get_config(modelId, options); const modelType = resolve_model_type(config); const textOnlySessions = getTextOnlySessions(modelType); if (textOnlySessions) { const allowedPrefixes = Object.values(textOnlySessions).map((s) => `onnx/${s}`); return files.filter((f) => !f.startsWith("onnx/") || allowedPrefixes.some((p) => f.startsWith(p))); } } return files; } async function pipeline(task, model = null, { progress_callback = null, config = null, cache_dir = null, local_files_only = false, revision = "main", device = null, dtype = null, subfolder = "onnx", use_external_data_format = null, model_file_name = null, session_options = {} } = {}) { task = TASK_ALIASES[task] ?? task; const pipelineInfo = SUPPORTED_TASKS[task.split("_", 1)[0]]; if (!pipelineInfo) { throw Error(`Unsupported pipeline: ${task}. Must be one of [${Object.keys(SUPPORTED_TASKS)}]`); } if (!model) { model = pipelineInfo.default.model; logger.info(`No model specified. Using default model: "${model}".`); if (!dtype && pipelineInfo.default.dtype) { dtype = pipelineInfo.default.dtype; } } const expected_files = await get_pipeline_files(task, model, { device, dtype }); let files_loading = {}; if (progress_callback) { const metadata = await Promise.all(expected_files.map(async (file) => get_file_metadata(model, file))); metadata.forEach((m, i) => { if (m.exists) { files_loading[expected_files[i]] = { loaded: 0, total: m.size ?? 0 }; } }); } const pretrainedOptions = { progress_callback: progress_callback ? new DefaultProgressCallback(progress_callback, files_loading) : void 0, config, cache_dir, local_files_only, revision, device, dtype, subfolder, use_external_data_format, model_file_name, session_options }; const hasTokenizer = expected_files.includes("tokenizer.json"); const hasProcessor = expected_files.includes("preprocessor_config.json"); const modelClasses = pipelineInfo.model; let modelPromise; if (Array.isArray(modelClasses)) { const resolvedConfig = config ?? await AutoConfig.from_pretrained(model, pretrainedOptions); const { model_type } = resolvedConfig; const matchedClass = modelClasses.find((cls) => cls.supports(model_type)); if (!matchedClass) { throw Error( `Unsupported model type "${model_type}" for task "${task}". None of the candidate model classes support this type.` ); } modelPromise = matchedClass.from_pretrained(model, { ...pretrainedOptions, config: resolvedConfig }); } else { modelPromise = modelClasses.from_pretrained(model, pretrainedOptions); } const [tokenizer, processor, model_loaded] = await Promise.all([ hasTokenizer ? AutoTokenizer.from_pretrained(model, pretrainedOptions) : null, hasProcessor ? AutoProcessor.from_pretrained(model, pretrainedOptions) : null, modelPromise ]); const results = { task, model: model_loaded }; if (tokenizer) results.tokenizer = tokenizer; if (processor) results.processor = processor; dispatchCallback(progress_callback, { status: "ready", task, model }); const pipelineClass = pipelineInfo.pipeline; return new pipelineClass(results); } var is_chinese_char2 = (cp) => cp >= 19968 && cp <= 40959 || cp >= 13312 && cp <= 19903 || cp >= 131072 && cp <= 173791 || cp >= 173824 && cp <= 177983 || cp >= 177984 && cp <= 178207 || cp >= 178208 && cp <= 183983 || cp >= 63744 && cp <= 64255 || cp >= 194560 && cp <= 195103; var BaseStreamer = class { /** * Function that is called by `.generate()` to push new tokens * @param {bigint[][]} value */ put(value) { throw Error("Not implemented"); } /** * Function that is called by `.generate()` to signal the end of generation */ end() { throw Error("Not implemented"); } }; var stdout_write = apis.IS_PROCESS_AVAILABLE ? (x) => process.stdout.write(x) : (x) => console.log(x); var TextStreamer = class extends BaseStreamer { /** * * @param {import('../tokenization_utils.js').PreTrainedTokenizer} tokenizer * @param {Object} options * @param {boolean} [options.skip_prompt=false] Whether to skip the prompt tokens * @param {boolean} [options.skip_special_tokens=true] Whether to skip special tokens when decoding * @param {function(string): void} [options.callback_function=null] Function to call when a piece of text is ready to display * @param {function(bigint[]): void} [options.token_callback_function=null] Function to call when a new token is generated * @param {Object} [options.decode_kwargs={}] Additional keyword arguments to pass to the tokenizer's decode method */ constructor(tokenizer, { skip_prompt = false, callback_function = null, token_callback_function = null, skip_special_tokens = true, decode_kwargs = {}, ...kwargs } = {}) { super(); this.tokenizer = tokenizer; this.skip_prompt = skip_prompt; this.callback_function = callback_function ?? stdout_write; this.token_callback_function = token_callback_function; this.decode_kwargs = { skip_special_tokens, ...decode_kwargs, ...kwargs }; this.token_cache = []; this.print_len = 0; this.next_tokens_are_prompt = true; this.special_ids = new Set(this.tokenizer.all_special_ids.map(BigInt)); } /** * Receives tokens, decodes them, and prints them to stdout as soon as they form entire words. * @param {bigint[][]} value */ put(value) { if (value.length > 1) { throw Error("TextStreamer only supports batch size of 1"); } const is_prompt = this.next_tokens_are_prompt; if (is_prompt) { this.next_tokens_are_prompt = false; if (this.skip_prompt) return; } const tokens = value[0]; this.token_callback_function?.(tokens); if (tokens.length === 1 && this.special_ids.has(tokens[0])) { if (this.decode_kwargs.skip_special_tokens) return; if (this.token_cache.length > 0) { const text2 = this.tokenizer.decode(this.token_cache, this.decode_kwargs); const printable_text2 = text2.slice(this.print_len); this.on_finalized_text(printable_text2, false); this.token_cache = []; this.print_len = 0; } const special_text = this.tokenizer.decode(tokens, this.decode_kwargs); this.on_finalized_text(special_text, false); return; } this.token_cache = mergeArrays(this.token_cache, tokens); const text = this.tokenizer.decode(this.token_cache, this.decode_kwargs); let printable_text; if (is_prompt || text.endsWith("\n")) { printable_text = text.slice(this.print_len); this.token_cache = []; this.print_len = 0; } else if (text.length > 0 && is_chinese_char2(text.charCodeAt(text.length - 1))) { printable_text = text.slice(this.print_len); this.print_len += printable_text.length; } else { printable_text = text.slice(this.print_len, text.lastIndexOf(" ") + 1); this.print_len += printable_text.length; } this.on_finalized_text(printable_text, false); } /** * Flushes any remaining cache and prints a newline to stdout. */ end() { let printable_text; if (this.token_cache.length > 0) { const text = this.tokenizer.decode(this.token_cache, this.decode_kwargs); printable_text = text.slice(this.print_len); this.token_cache = []; this.print_len = 0; } else { printable_text = ""; } this.next_tokens_are_prompt = true; this.on_finalized_text(printable_text, true); } /** * Prints the new text to stdout. If the stream is ending, also prints a newline. * @param {string} text * @param {boolean} stream_end */ on_finalized_text(text, stream_end) { if (text.length > 0) { this.callback_function?.(text); } if (stream_end && this.callback_function === stdout_write && apis.IS_PROCESS_AVAILABLE) { this.callback_function?.("\n"); } } }; var WhisperTextStreamer = class extends TextStreamer { /** * @param {import('../models/whisper/tokenization_whisper.js').WhisperTokenizer} tokenizer * @param {Object} options * @param {boolean} [options.skip_prompt=false] Whether to skip the prompt tokens * @param {function(string): void} [options.callback_function=null] Function to call when a piece of text is ready to display * @param {function(bigint[]): void} [options.token_callback_function=null] Function to call when a new token is generated * @param {function(number): void} [options.on_chunk_start=null] Function to call when a new chunk starts * @param {function(number): void} [options.on_chunk_end=null] Function to call when a chunk ends * @param {function(): void} [options.on_finalize=null] Function to call when the stream is finalized * @param {number} [options.time_precision=0.02] Precision of the timestamps * @param {boolean} [options.skip_special_tokens=true] Whether to skip special tokens when decoding * @param {Object} [options.decode_kwargs={}] Additional keyword arguments to pass to the tokenizer's decode method */ constructor(tokenizer, { skip_prompt = false, callback_function = null, token_callback_function = null, on_chunk_start = null, on_chunk_end = null, on_finalize = null, time_precision = 0.02, skip_special_tokens = true, decode_kwargs = {} } = {}) { super(tokenizer, { skip_prompt, skip_special_tokens, callback_function, token_callback_function, decode_kwargs }); this.timestamp_begin = tokenizer.timestamp_begin; this.on_chunk_start = on_chunk_start; this.on_chunk_end = on_chunk_end; this.on_finalize = on_finalize; this.time_precision = time_precision; this.waiting_for_timestamp = false; } /** * @param {bigint[][]} value */ put(value) { if (value.length > 1) { throw Error("WhisperTextStreamer only supports batch size of 1"); } const tokens = value[0]; if (tokens.length === 1) { const offset = Number(tokens[0]) - this.timestamp_begin; if (offset >= 0) { const time = offset * this.time_precision; if (this.waiting_for_timestamp) { this.on_chunk_end?.(time); } else { this.on_chunk_start?.(time); } this.waiting_for_timestamp = !this.waiting_for_timestamp; this.token_callback_function?.(tokens); return; } } return super.put(value); } end() { super.end(); this.on_finalize?.(); } }; var RawVideoFrame = class { /** * @param {RawImage} image * @param {number} timestamp */ constructor(image, timestamp) { this.image = image; this.timestamp = timestamp; } }; var RawVideo = class { /** * @param {RawVideoFrame[]|RawImage[]} frames * @param {number} duration */ constructor(frames, duration) { if (frames.length > 0 && frames[0] instanceof RawImage) { frames = frames.map((image, i) => new RawVideoFrame(image, (i + 1) / (frames.length + 1) * duration)); } this.frames = /** @type {RawVideoFrame[]} */ frames; this.duration = duration; } get width() { return this.frames[0].image.width; } get height() { return this.frames[0].image.height; } get fps() { return this.frames.length / this.duration; } }; async function load_video(src, { num_frames = null, fps = null } = {}) { if (!apis.IS_BROWSER_ENV) { throw new Error("`load_video` is currently only supported in browser environments."); } if (num_frames == null && fps == null) { throw new Error("Either num_frames or fps must be provided."); } const frames = []; const video = document.createElement("video"); video.crossOrigin = "anonymous"; video.muted = true; if (typeof src === "string") { video.src = src; } else if (src instanceof Blob) { video.src = URL.createObjectURL(src); } else if (src instanceof HTMLVideoElement) { video.src = src.src; } else { throw new Error("Invalid URL or video element provided."); } await new Promise((resolve) => video.onloadedmetadata = resolve); if (video.seekable.start(0) === video.seekable.end(0)) { const response = await env.fetch(video.src); const blob = await response.blob(); video.src = URL.createObjectURL(blob); await new Promise((resolve) => video.onloadedmetadata = resolve); } const duration = video.duration; let count2, step; if (num_frames != null) { count2 = num_frames; step = num_frames === 1 ? 0 : duration / (num_frames - 1); } else { step = 1 / fps; count2 = Math.floor(duration / step); } let sampleTimes = []; for (let i = 0; i < count2; ++i) { sampleTimes.push(num_frames === 1 ? duration / 2 : i * step); } const canvas = document.createElement("canvas"); canvas.width = video.videoWidth; canvas.height = video.videoHeight; const ctx = canvas.getContext("2d", { willReadFrequently: true }); for (const t of sampleTimes) { video.currentTime = t; await new Promise((resolve) => { video.onseeked = resolve; }); ctx.drawImage(video, 0, 0, canvas.width, canvas.height); const imageData = ctx.getImageData(0, 0, canvas.width, canvas.height); const frameData = new RawImage(imageData.data, canvas.width, canvas.height, 4); const frame = new RawVideoFrame(frameData, t); frames.push(frame); } video.remove(); return new RawVideo(frames, duration); } async function check_files_cache(modelId, files, options = {}) { const cache2 = await getCache(options?.cache_dir); if (!cache2) { const fileStatuses2 = files.map((filename) => ({ file: filename, cached: false })); return { allCached: false, files: fileStatuses2 }; } const fileStatuses = await Promise.all( files.map(async (filename) => { const { localPath, proposedCacheKey } = buildResourcePaths(modelId, filename, options, cache2); const cached = await checkCachedResource(cache2, localPath, proposedCacheKey); return { file: filename, cached: !!cached }; }) ); return { allCached: fileStatuses.every((f) => f.cached), files: fileStatuses }; } async function is_file_cached(modelId, filename, options = {}) { const cache2 = await getCache(options?.cache_dir); if (!cache2) return false; const { localPath, proposedCacheKey } = buildResourcePaths(modelId, filename, options, cache2); return !!await checkCachedResource(cache2, localPath, proposedCacheKey); } async function is_cached(modelId, options = {}) { if (!modelId) { throw new Error("modelId is required"); } if (!await is_file_cached(modelId, "config.json", options)) { return false; } const files = await get_files(modelId, options); const result = await check_files_cache(modelId, files, options); return result.allCached; } async function is_cached_files(modelId, options = {}) { if (!modelId) { throw new Error("modelId is required"); } const files = await get_files(modelId, options); return await check_files_cache(modelId, files, options); } async function is_pipeline_cached(task, modelId, options = {}) { if (!task) { throw new Error("task is required"); } if (!modelId) { throw new Error("modelId is required"); } if (!await is_file_cached(modelId, "config.json", options)) { return false; } const files = await get_pipeline_files(task, modelId, options); const result = await check_files_cache(modelId, files, options); return result.allCached; } async function is_pipeline_cached_files(task, modelId, options = {}) { if (!task) { throw new Error("task is required"); } if (!modelId) { throw new Error("modelId is required"); } const files = await get_pipeline_files(task, modelId, options); return await check_files_cache(modelId, files, options); } async function clear_files_from_cache(modelId, files, options = {}) { const cache2 = await getCache(options?.cache_dir); if (!cache2) { return { filesDeleted: 0, filesCached: 0, files: files.map((filename) => ({ file: filename, deleted: false, wasCached: false })) }; } if (!cache2.delete) { throw new Error("Cache does not support delete operation"); } const results = await Promise.all( files.map(async (filename) => { const { localPath, proposedCacheKey } = buildResourcePaths(modelId, filename, options, cache2); const cached = await checkCachedResource(cache2, localPath, proposedCacheKey); const wasCached = !!cached; let deleted = false; if (wasCached) { const deletedWithProposed = await cache2.delete(proposedCacheKey); const deletedWithLocal = !deletedWithProposed && proposedCacheKey !== localPath ? await cache2.delete(localPath) : false; deleted = deletedWithProposed || deletedWithLocal; } return { file: filename, deleted, wasCached }; }) ); return { filesDeleted: results.filter((r) => r.deleted).length, filesCached: results.filter((r) => r.wasCached).length, files: results }; } async function clear_cache(modelId, options = {}) { if (!modelId) { throw new Error("modelId is required"); } const files = await get_files(modelId, options); return await clear_files_from_cache(modelId, files, options); } async function clear_pipeline_cache(task, modelId, options = {}) { if (!task) { throw new Error("task is required"); } if (!modelId) { throw new Error("modelId is required"); } const files = await get_pipeline_files(task, modelId, options); return await clear_files_from_cache(modelId, files, options); } var CONCRETE_DTYPES = Object.keys(DEFAULT_DTYPE_SUFFIX_MAPPING); async function get_available_dtypes(modelId, { config = null, model_file_name = null, revision = "main", cache_dir = null, local_files_only = false } = {}) { config = await get_config(modelId, { config, cache_dir, local_files_only, revision }); const subfolder = "onnx"; const modelType = resolve_model_type(config); const { sessions } = getSessionsConfig(modelType, config, { model_file_name }); const baseNames = Object.values(sessions); const metadataOptions = { revision, cache_dir, local_files_only }; const probeResults = await Promise.all( CONCRETE_DTYPES.map(async (dtype) => { const suffix = DEFAULT_DTYPE_SUFFIX_MAPPING[dtype] ?? ""; const allExist = await Promise.all( baseNames.map(async (baseName) => { const filename = `${subfolder}/${baseName}${suffix}.onnx`; const metadata = await get_file_metadata(modelId, filename, metadataOptions); return metadata.exists; }) ); return { dtype, available: allExist.every(Boolean) }; }) ); return probeResults.filter((r) => r.available).map((r) => r.dtype); } var ModelRegistry = class { /** * Get all files (model, tokenizer, processor) needed for a model. * * @param {string} modelId - The model id (e.g., "onnx-community/bert-base-uncased-ONNX") * @param {Object} [options] - Optional parameters * @param {import('../../configs.js').PretrainedConfig} [options.config=null] - Pre-loaded config * @param {import('../dtypes.js').DataType|Record} [options.dtype=null] - Override dtype * @param {import('../devices.js').DeviceType|Record} [options.device=null] - Override device * @param {string} [options.model_file_name=null] - Override the model file name (excluding .onnx suffix) * @param {boolean} [options.include_tokenizer=true] - Whether to check for tokenizer files * @param {boolean} [options.include_processor=true] - Whether to check for processor files * @returns {Promise} Array of file paths * * @example * const files = await ModelRegistry.get_files('onnx-community/gpt2-ONNX'); * console.log(files); // ['config.json', 'tokenizer.json', 'onnx/model_q4.onnx', ...] */ static async get_files(modelId, options = {}) { return get_files(modelId, options); } /** * Get all files needed for a specific pipeline task. * Automatically determines which components are needed based on the task. * * @param {string} task - The pipeline task (e.g., "text-generation", "background-removal") * @param {string} modelId - The model id (e.g., "onnx-community/bert-base-uncased-ONNX") * @param {Object} [options] - Optional parameters * @param {import('../../configs.js').PretrainedConfig} [options.config=null] - Pre-loaded config * @param {import('../dtypes.js').DataType|Record} [options.dtype=null] - Override dtype * @param {import('../devices.js').DeviceType|Record} [options.device=null] - Override device * @param {string} [options.model_file_name=null] - Override the model file name (excluding .onnx suffix) * @returns {Promise} Array of file paths * * @example * const files = await ModelRegistry.get_pipeline_files('text-generation', 'onnx-community/gpt2-ONNX'); * console.log(files); // ['config.json', 'tokenizer.json', 'onnx/model_q4.onnx', ...] */ static async get_pipeline_files(task, modelId, options = {}) { return get_pipeline_files(task, modelId, options); } /** * Get model files needed for a specific model. * * @param {string} modelId - The model id * @param {Object} [options] - Optional parameters * @param {import('../../configs.js').PretrainedConfig} [options.config=null] - Pre-loaded config * @param {import('../dtypes.js').DataType|Record} [options.dtype=null] - Override dtype * @param {import('../devices.js').DeviceType|Record} [options.device=null] - Override device * @param {string} [options.model_file_name=null] - Override the model file name (excluding .onnx suffix) * @returns {Promise} Array of model file paths * * @example * const files = await ModelRegistry.get_model_files('onnx-community/bert-base-uncased-ONNX'); * console.log(files); // ['config.json', 'onnx/model_q4.onnx', 'generation_config.json'] */ static async get_model_files(modelId, options = {}) { return get_model_files(modelId, options); } /** * Get tokenizer files needed for a specific model. * * @param {string} modelId - The model id * @returns {Promise} Array of tokenizer file paths * * @example * const files = await ModelRegistry.get_tokenizer_files('onnx-community/gpt2-ONNX'); * console.log(files); // ['tokenizer.json', 'tokenizer_config.json'] */ static async get_tokenizer_files(modelId) { return get_tokenizer_files(modelId); } /** * Get processor files needed for a specific model. * * @param {string} modelId - The model id * @returns {Promise} Array of processor file paths * * @example * const files = await ModelRegistry.get_processor_files('onnx-community/vit-base-patch16-224-ONNX'); * console.log(files); // ['preprocessor_config.json'] */ static async get_processor_files(modelId) { return get_processor_files(modelId); } /** * Detects which quantization levels (dtypes) are available for a model * by checking which ONNX files exist on the hub or locally. * * A dtype is considered available if all required model session files * exist for that dtype. * * @param {string} modelId - The model id (e.g., "onnx-community/all-MiniLM-L6-v2-ONNX") * @param {Object} [options] - Optional parameters * @param {import('../../configs.js').PretrainedConfig} [options.config=null] - Pre-loaded config * @param {string} [options.model_file_name=null] - Override the model file name (excluding .onnx suffix) * @param {string} [options.revision='main'] - Model revision * @param {string} [options.cache_dir=null] - Custom cache directory * @param {boolean} [options.local_files_only=false] - Only check local files * @returns {Promise} Array of available dtype strings (e.g., ['fp32', 'fp16', 'q4', 'q8']) * * @example * const dtypes = await ModelRegistry.get_available_dtypes('onnx-community/all-MiniLM-L6-v2-ONNX'); * console.log(dtypes); // ['fp32', 'fp16', 'int8', 'uint8', 'q8', 'q4'] */ static async get_available_dtypes(modelId, options = {}) { return get_available_dtypes(modelId, options); } /** * Quickly checks if a model is fully cached by verifying `config.json` is present, * then confirming all required files are cached. * Returns a plain boolean — use `is_cached_files` if you need per-file detail. * * @param {string} modelId - The model id * @param {Object} [options] - Optional parameters * @param {string} [options.cache_dir] - Custom cache directory * @param {string} [options.revision] - Model revision (default: 'main') * @param {import('../../configs.js').PretrainedConfig} [options.config] - Pre-loaded config * @param {import('../dtypes.js').DataType|Record} [options.dtype=null] - Override dtype * @param {import('../devices.js').DeviceType|Record} [options.device=null] - Override device * @returns {Promise} Whether all required files are cached * * @example * const cached = await ModelRegistry.is_cached('onnx-community/bert-base-uncased-ONNX'); * console.log(cached); // true or false */ static async is_cached(modelId, options = {}) { return is_cached(modelId, options); } /** * Checks if all files for a given model are already cached, with per-file detail. * Automatically determines which files are needed using get_files(). * * @param {string} modelId - The model id * @param {Object} [options] - Optional parameters * @param {string} [options.cache_dir] - Custom cache directory * @param {string} [options.revision] - Model revision (default: 'main') * @param {import('../../configs.js').PretrainedConfig} [options.config] - Pre-loaded config * @param {import('../dtypes.js').DataType|Record} [options.dtype=null] - Override dtype * @param {import('../devices.js').DeviceType|Record} [options.device=null] - Override device * @returns {Promise} Object with allCached boolean and files array with cache status * * @example * const status = await ModelRegistry.is_cached_files('onnx-community/bert-base-uncased-ONNX'); * console.log(status.allCached); // true or false * console.log(status.files); // [{ file: 'config.json', cached: true }, ...] */ static async is_cached_files(modelId, options = {}) { return is_cached_files(modelId, options); } /** * Quickly checks if all files for a specific pipeline task are cached by verifying * `config.json` is present, then confirming all required files are cached. * Returns a plain boolean — use `is_pipeline_cached_files` if you need per-file detail. * * @param {string} task - The pipeline task (e.g., "text-generation", "background-removal") * @param {string} modelId - The model id * @param {Object} [options] - Optional parameters * @param {string} [options.cache_dir] - Custom cache directory * @param {string} [options.revision] - Model revision (default: 'main') * @param {import('../../configs.js').PretrainedConfig} [options.config] - Pre-loaded config * @param {import('../dtypes.js').DataType|Record} [options.dtype=null] - Override dtype * @param {import('../devices.js').DeviceType|Record} [options.device=null] - Override device * @returns {Promise} Whether all required files are cached * * @example * const cached = await ModelRegistry.is_pipeline_cached('text-generation', 'onnx-community/gpt2-ONNX'); * console.log(cached); // true or false */ static async is_pipeline_cached(task, modelId, options = {}) { return is_pipeline_cached(task, modelId, options); } /** * Checks if all files for a specific pipeline task are already cached, with per-file detail. * Automatically determines which components are needed based on the task. * * @param {string} task - The pipeline task (e.g., "text-generation", "background-removal") * @param {string} modelId - The model id * @param {Object} [options] - Optional parameters * @param {string} [options.cache_dir] - Custom cache directory * @param {string} [options.revision] - Model revision (default: 'main') * @param {import('../../configs.js').PretrainedConfig} [options.config] - Pre-loaded config * @param {import('../dtypes.js').DataType|Record} [options.dtype=null] - Override dtype * @param {import('../devices.js').DeviceType|Record} [options.device=null] - Override device * @returns {Promise} Object with allCached boolean and files array with cache status * * @example * const status = await ModelRegistry.is_pipeline_cached_files('text-generation', 'onnx-community/gpt2-ONNX'); * console.log(status.allCached); // true or false * console.log(status.files); // [{ file: 'config.json', cached: true }, ...] */ static async is_pipeline_cached_files(task, modelId, options = {}) { return is_pipeline_cached_files(task, modelId, options); } /** * Get metadata for a specific file without downloading it. * * @param {string} path_or_repo_id - Model id or path * @param {string} filename - The file name * @param {import('../hub.js').PretrainedOptions} [options] - Optional parameters * @returns {Promise<{exists: boolean, size?: number, contentType?: string, fromCache?: boolean}>} File metadata * * @example * const metadata = await ModelRegistry.get_file_metadata('onnx-community/gpt2-ONNX', 'config.json'); * console.log(metadata.exists, metadata.size); // true, 665 */ static async get_file_metadata(path_or_repo_id, filename, options = {}) { return get_file_metadata(path_or_repo_id, filename, options); } /** * Clears all cached files for a given model. * Automatically determines which files are needed and removes them from the cache. * * @param {string} modelId - The model id (e.g., "onnx-community/gpt2-ONNX") * @param {Object} [options] - Optional parameters * @param {string} [options.cache_dir] - Custom cache directory * @param {string} [options.revision] - Model revision (default: 'main') * @param {import('../../configs.js').PretrainedConfig} [options.config] - Pre-loaded config * @param {import('../dtypes.js').DataType|Record} [options.dtype] - Override dtype * @param {import('../devices.js').DeviceType|Record} [options.device] - Override device * @param {boolean} [options.include_tokenizer=true] - Whether to clear tokenizer files * @param {boolean} [options.include_processor=true] - Whether to clear processor files * @returns {Promise} Object with deletion statistics and file status * * @example * const result = await ModelRegistry.clear_cache('onnx-community/bert-base-uncased-ONNX'); * console.log(`Deleted ${result.filesDeleted} of ${result.filesCached} cached files`); */ static async clear_cache(modelId, options = {}) { return clear_cache(modelId, options); } /** * Clears all cached files for a specific pipeline task. * Automatically determines which components are needed based on the task. * * @param {string} task - The pipeline task (e.g., "text-generation", "image-classification") * @param {string} modelId - The model id (e.g., "onnx-community/gpt2-ONNX") * @param {Object} [options] - Optional parameters * @param {string} [options.cache_dir] - Custom cache directory * @param {string} [options.revision] - Model revision (default: 'main') * @param {import('../../configs.js').PretrainedConfig} [options.config] - Pre-loaded config * @param {import('../dtypes.js').DataType|Record} [options.dtype] - Override dtype * @param {import('../devices.js').DeviceType|Record} [options.device] - Override device * @returns {Promise} Object with deletion statistics and file status * * @example * const result = await ModelRegistry.clear_pipeline_cache('text-generation', 'onnx-community/gpt2-ONNX'); * console.log(`Deleted ${result.filesDeleted} of ${result.filesCached} cached files`); */ static async clear_pipeline_cache(task, modelId, options = {}) { return clear_pipeline_cache(task, modelId, options); } }; } }); // node_modules/hnsw/dist/heap.js var require_heap = __commonJS2({ "node_modules/hnsw/dist/heap.js"(exports2) { "use strict"; Object.defineProperty(exports2, "__esModule", { value: true }); exports2.BinaryHeap = void 0; var BinaryHeap = class { constructor(compare) { this.compare = compare; this.items = []; } get size() { return this.items.length; } peek() { return this.items[0]; } push(item) { this.items.push(item); this.bubbleUp(this.items.length - 1); } pop() { if (this.items.length === 0) { return void 0; } const top = this.items[0]; const last = this.items.pop(); if (this.items.length > 0) { this.items[0] = last; this.bubbleDown(0); } return top; } values() { return [...this.items]; } bubbleUp(index) { let currentIndex = index; while (currentIndex > 0) { const parentIndex = Math.floor((currentIndex - 1) / 2); if (this.compare(this.items[currentIndex], this.items[parentIndex]) <= 0) { break; } this.swap(currentIndex, parentIndex); currentIndex = parentIndex; } } bubbleDown(index) { let currentIndex = index; while (true) { const left = currentIndex * 2 + 1; const right = currentIndex * 2 + 2; let largest = currentIndex; if (left < this.items.length && this.compare(this.items[left], this.items[largest]) > 0) { largest = left; } if (right < this.items.length && this.compare(this.items[right], this.items[largest]) > 0) { largest = right; } if (largest === currentIndex) { break; } this.swap(currentIndex, largest); currentIndex = largest; } } swap(a, b) { const tmp = this.items[a]; this.items[a] = this.items[b]; this.items[b] = tmp; } }; exports2.BinaryHeap = BinaryHeap; } }); // node_modules/hnsw/dist/node.js var require_node5 = __commonJS2({ "node_modules/hnsw/dist/node.js"(exports2) { "use strict"; Object.defineProperty(exports2, "__esModule", { value: true }); exports2.Node = void 0; var Node = class { constructor(id, vector, level) { this.id = id; this.vector = vector; this.level = level; this.neighbors = Array.from({ length: level + 1 }, () => []); } }; exports2.Node = Node; } }); // node_modules/hnsw/dist/similarity.js var require_similarity = __commonJS2({ "node_modules/hnsw/dist/similarity.js"(exports2) { "use strict"; Object.defineProperty(exports2, "__esModule", { value: true }); exports2.euclideanSimilarity = exports2.cosineSimilarity = void 0; function dotProduct2(a, b) { let dP = 0; for (let i = 0; i < a.length; i++) { dP += a[i] * b[i]; } return dP; } function cosineSimilarity(a, b) { return dotProduct2(a, b) / (Math.sqrt(dotProduct2(a, a)) * Math.sqrt(dotProduct2(b, b))); } exports2.cosineSimilarity = cosineSimilarity; function euclideanDistance(a, b) { let sum = 0; for (let i = 0; i < a.length; i++) { sum += (a[i] - b[i]) ** 2; } return Math.sqrt(sum); } function euclideanSimilarity(a, b) { return 1 / (1 + euclideanDistance(a, b)); } exports2.euclideanSimilarity = euclideanSimilarity; } }); // node_modules/hnsw/dist/main.js var require_main2 = __commonJS2({ "node_modules/hnsw/dist/main.js"(exports2) { "use strict"; var __awaiter = exports2 && exports2.__awaiter || function(thisArg, _arguments, P, generator) { function adopt(value) { return value instanceof P ? value : new P(function(resolve) { resolve(value); }); } return new (P || (P = Promise))(function(resolve, reject) { function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } } function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } } function step(result) { result.done ? resolve(result.value) : adopt(result.value).then(fulfilled, rejected); } step((generator = generator.apply(thisArg, _arguments || [])).next()); }); }; Object.defineProperty(exports2, "__esModule", { value: true }); exports2.HNSW = void 0; var heap_1 = require_heap(); var node_1 = require_node5(); var similarity_1 = require_similarity(); var HNSW = class { /** * Creates an in-memory HNSW index. */ constructor(M = 16, efConstruction = 200, d = null, metric = "cosine", efSearch) { this.d = null; this.metric = metric; this.d = d; this.M = M; this.efConstruction = efConstruction; this.efSearch = efSearch !== null && efSearch !== void 0 ? efSearch : efConstruction; this.entryPointId = -1; this.nodes = /* @__PURE__ */ new Map(); this.probs = this.set_probs(M, 1 / Math.log(M)); this.levelMax = -1; this.similarityFunction = this.getMetric(metric); } getMetric(metric) { if (metric === "cosine") { return similarity_1.cosineSimilarity; } else if (metric === "euclidean") { return similarity_1.euclideanSimilarity; } else { throw new Error("Invalid metric"); } } set_probs(M, levelMult) { let level = 0; const probs = []; while (true) { const prob = Math.exp(-level / levelMult) * (1 - Math.exp(-1 / levelMult)); if (prob < 1e-9) break; probs.push(prob); level++; } return probs; } selectLevel() { let r = Math.random(); for (let i = 0; i < this.probs.length; i++) { const p = this.probs[i]; if (r < p) { return i; } r -= p; } return this.probs.length - 1; } greedySearch(query, entryNode, level) { var _a; let bestNode = entryNode; let bestScore = this.similarityFunction(query, entryNode.vector); let improved = true; while (improved) { improved = false; const neighbors = (_a = bestNode.neighbors[level]) !== null && _a !== void 0 ? _a : []; for (const neighborId of neighbors) { const neighborNode = this.nodes.get(neighborId); const similarity = this.similarityFunction(query, neighborNode.vector); if (similarity > bestScore) { bestScore = similarity; bestNode = neighborNode; improved = true; } } } return bestNode; } searchLayer(query, entryNode, level, ef) { var _a, _b, _c; const visited = /* @__PURE__ */ new Set([entryNode.id]); const candidates = new heap_1.BinaryHeap((a, b) => a.score - b.score); const best = new heap_1.BinaryHeap((a, b) => b.score - a.score); const entryScore = this.similarityFunction(query, entryNode.vector); candidates.push({ node: entryNode, score: entryScore }); best.push({ node: entryNode, score: entryScore }); while (candidates.size > 0) { const current = candidates.pop(); const worstBest = best.peek(); if (worstBest && best.size >= ef && current.score < worstBest.score) { break; } const neighbors = (_a = current.node.neighbors[level]) !== null && _a !== void 0 ? _a : []; for (const neighborId of neighbors) { if (visited.has(neighborId)) continue; visited.add(neighborId); const neighborNode = this.nodes.get(neighborId); const score = this.similarityFunction(query, neighborNode.vector); if (best.size < ef || score > ((_c = (_b = best.peek()) === null || _b === void 0 ? void 0 : _b.score) !== null && _c !== void 0 ? _c : -Infinity)) { candidates.push({ node: neighborNode, score }); best.push({ node: neighborNode, score }); if (best.size > ef) { best.pop(); } } } } return best.values().sort((a, b) => b.score - a.score).map((entry) => entry.node); } connectNodeAtLevel(node, candidates, level) { const selected = this.selectNeighborsHeuristic(node, candidates, this.M); for (const neighbor of selected) { this.addBidirectionalConnection(node, neighbor, level); } } addBidirectionalConnection(node, other, level) { const removedFromNode = this.insertNeighbor(node, other.id, level); const removedFromOther = this.insertNeighbor(other, node.id, level); this.removeReciprocalLinks(node, removedFromNode, level); this.removeReciprocalLinks(other, removedFromOther, level); } removeReciprocalLinks(node, removedIds, level) { var _a; for (const removedId of removedIds) { const removedNode = this.nodes.get(removedId); if (!removedNode) continue; removedNode.neighbors[level] = ((_a = removedNode.neighbors[level]) !== null && _a !== void 0 ? _a : []).filter((id) => id !== node.id); } } insertNeighbor(node, neighborId, level) { if (!node.neighbors[level]) { node.neighbors[level] = []; } const existingIds = node.neighbors[level].filter((id) => id !== neighborId); const candidateIds = [...existingIds, neighborId]; const candidateNodes = candidateIds.map((id) => this.nodes.get(id)).filter((candidate) => Boolean(candidate)); const selected = this.selectNeighborsHeuristic(node, candidateNodes, this.M); const selectedIds = selected.map((selectedNode) => selectedNode.id); const removedIds = existingIds.filter((id) => !selectedIds.includes(id)); node.neighbors[level] = selectedIds; return removedIds; } selectNeighborsHeuristic(node, candidates, maxNeighbors) { const uniqueCandidates = /* @__PURE__ */ new Map(); for (const candidate of candidates) { if (candidate.id === node.id) continue; uniqueCandidates.set(candidate.id, candidate); } const scored = Array.from(uniqueCandidates.values()).map((candidate) => ({ node: candidate, score: this.similarityFunction(node.vector, candidate.vector) })).sort((a, b) => b.score - a.score); const selected = []; for (const entry of scored) { if (selected.length >= maxNeighbors) { break; } const shouldSelect = selected.every((neighbor) => { const neighborSimilarity = this.similarityFunction(entry.node.vector, neighbor.vector); return neighborSimilarity <= entry.score; }); if (shouldSelect) { selected.push(entry.node); } } return selected; } addNodeToGraph(node) { return __awaiter(this, void 0, void 0, function* () { if (this.entryPointId === -1) { this.entryPointId = node.id; this.levelMax = node.level; return; } const currentMaxLevel = this.levelMax; let entryNode = this.nodes.get(this.entryPointId); for (let level = currentMaxLevel; level > node.level; level--) { entryNode = this.greedySearch(node.vector, entryNode, level); } const targetLevel = Math.min(node.level, currentMaxLevel); for (let level = targetLevel; level >= 0; level--) { const neighbors = this.searchLayer(node.vector, entryNode, level, this.efConstruction); this.connectNodeAtLevel(node, neighbors, level); if (neighbors.length > 0) { entryNode = neighbors[0]; } } if (node.level > this.levelMax) { this.entryPointId = node.id; this.levelMax = node.level; } }); } /** * Adds a single vector to the graph. */ addPoint(id, vector) { return __awaiter(this, void 0, void 0, function* () { if (this.d !== null && vector.length !== this.d) { throw new Error("All vectors must be of the same dimension"); } this.d = vector.length; if (this.nodes.has(id)) { throw new Error(`Node with id ${id} already exists`); } this.nodes.set(id, new node_1.Node(id, vector, this.selectLevel())); const node = this.nodes.get(id); yield this.addNodeToGraph(node); }); } /** * Returns up to k nearest neighbors for the query vector. */ searchKNN(query, k, options) { var _a; if (this.entryPointId === -1 || this.nodes.size === 0 || k <= 0) { return []; } let entryNode = this.nodes.get(this.entryPointId); for (let level = this.levelMax; level > 0; level--) { entryNode = this.greedySearch(query, entryNode, level); } const ef = Math.max(k, (_a = options === null || options === void 0 ? void 0 : options.efSearch) !== null && _a !== void 0 ? _a : this.efSearch); const candidates = this.searchLayer(query, entryNode, 0, ef); const results = []; const seen = /* @__PURE__ */ new Set(); for (const node of candidates) { if (seen.has(node.id)) continue; seen.add(node.id); const score = this.similarityFunction(node.vector, query); results.push({ id: node.id, score }); if (results.length === k) { break; } } return results; } /** * Rebuilds the graph from the provided data. */ buildIndex(data, options) { var _a; return __awaiter(this, void 0, void 0, function* () { this.nodes.clear(); this.levelMax = -1; this.entryPointId = -1; this.d = null; const total = data.length; const interval = (_a = options === null || options === void 0 ? void 0 : options.progressInterval) !== null && _a !== void 0 ? _a : 1e4; const onProgress = options === null || options === void 0 ? void 0 : options.onProgress; for (let i = 0; i < data.length; i++) { yield this.addPoint(data[i].id, data[i].vector); if (onProgress && (i + 1) % interval === 0) { onProgress(i + 1, total); } } if (onProgress && total % interval !== 0) { onProgress(total, total); } }); } /** * Serializes the current in-memory index. */ toJSON() { const entries = Array.from(this.nodes.entries()); return { M: this.M, efConstruction: this.efConstruction, efSearch: this.efSearch, metric: this.metric, d: this.d, levelMax: this.levelMax, entryPointId: this.entryPointId, nodes: entries.map(([id, node]) => { return [ id, { id: node.id, level: node.level, vector: Array.from(node.vector), neighbors: node.neighbors.map((level) => Array.from(level)) } ]; }) }; } /** * Restores an index from serialized JSON produced by toJSON(). */ static fromJSON(json) { var _a, _b; const hnsw = new HNSW(json.M, json.efConstruction, (_a = json.d) !== null && _a !== void 0 ? _a : null, (_b = json.metric) !== null && _b !== void 0 ? _b : "cosine", json.efSearch); hnsw.levelMax = json.levelMax; hnsw.entryPointId = json.entryPointId; hnsw.nodes = new Map(json.nodes.map(([id, node]) => { const restored = new node_1.Node(node.id, new Float32Array(node.vector), node.level); restored.neighbors = node.neighbors.map((level) => [...level]); return [id, restored]; })); return hnsw; } }; exports2.HNSW = HNSW; } }); // node_modules/idb/build/wrap-idb-value.js function getIdbProxyableTypes() { return idbProxyableTypes || (idbProxyableTypes = [ IDBDatabase, IDBObjectStore, IDBIndex, IDBCursor, IDBTransaction ]); } function getCursorAdvanceMethods() { return cursorAdvanceMethods || (cursorAdvanceMethods = [ IDBCursor.prototype.advance, IDBCursor.prototype.continue, IDBCursor.prototype.continuePrimaryKey ]); } function promisifyRequest(request) { const promise = new Promise((resolve, reject) => { const unlisten = () => { request.removeEventListener("success", success); request.removeEventListener("error", error); }; const success = () => { resolve(wrap(request.result)); unlisten(); }; const error = () => { reject(request.error); unlisten(); }; request.addEventListener("success", success); request.addEventListener("error", error); }); promise.then((value) => { if (value instanceof IDBCursor) { cursorRequestMap.set(value, request); } }).catch(() => { }); reverseTransformCache.set(promise, request); return promise; } function cacheDonePromiseForTransaction(tx) { if (transactionDoneMap.has(tx)) return; const done = new Promise((resolve, reject) => { const unlisten = () => { tx.removeEventListener("complete", complete); tx.removeEventListener("error", error); tx.removeEventListener("abort", error); }; const complete = () => { resolve(); unlisten(); }; const error = () => { reject(tx.error || new DOMException("AbortError", "AbortError")); unlisten(); }; tx.addEventListener("complete", complete); tx.addEventListener("error", error); tx.addEventListener("abort", error); }); transactionDoneMap.set(tx, done); } function replaceTraps(callback) { idbProxyTraps = callback(idbProxyTraps); } function wrapFunction(func) { if (func === IDBDatabase.prototype.transaction && !("objectStoreNames" in IDBTransaction.prototype)) { return function(storeNames, ...args2) { const tx = func.call(unwrap(this), storeNames, ...args2); transactionStoreNamesMap.set(tx, storeNames.sort ? storeNames.sort() : [storeNames]); return wrap(tx); }; } if (getCursorAdvanceMethods().includes(func)) { return function(...args2) { func.apply(unwrap(this), args2); return wrap(cursorRequestMap.get(this)); }; } return function(...args2) { return wrap(func.apply(unwrap(this), args2)); }; } function transformCachableValue(value) { if (typeof value === "function") return wrapFunction(value); if (value instanceof IDBTransaction) cacheDonePromiseForTransaction(value); if (instanceOfAny(value, getIdbProxyableTypes())) return new Proxy(value, idbProxyTraps); return value; } function wrap(value) { if (value instanceof IDBRequest) return promisifyRequest(value); if (transformCache.has(value)) return transformCache.get(value); const newValue = transformCachableValue(value); if (newValue !== value) { transformCache.set(value, newValue); reverseTransformCache.set(newValue, value); } return newValue; } var instanceOfAny, idbProxyableTypes, cursorAdvanceMethods, cursorRequestMap, transactionDoneMap, transactionStoreNamesMap, transformCache, reverseTransformCache, idbProxyTraps, unwrap; var init_wrap_idb_value = __esm({ "node_modules/idb/build/wrap-idb-value.js"() { instanceOfAny = (object, constructors) => constructors.some((c) => object instanceof c); cursorRequestMap = /* @__PURE__ */ new WeakMap(); transactionDoneMap = /* @__PURE__ */ new WeakMap(); transactionStoreNamesMap = /* @__PURE__ */ new WeakMap(); transformCache = /* @__PURE__ */ new WeakMap(); reverseTransformCache = /* @__PURE__ */ new WeakMap(); idbProxyTraps = { get(target, prop, receiver) { if (target instanceof IDBTransaction) { if (prop === "done") return transactionDoneMap.get(target); if (prop === "objectStoreNames") { return target.objectStoreNames || transactionStoreNamesMap.get(target); } if (prop === "store") { return receiver.objectStoreNames[1] ? void 0 : receiver.objectStore(receiver.objectStoreNames[0]); } } return wrap(target[prop]); }, set(target, prop, value) { target[prop] = value; return true; }, has(target, prop) { if (target instanceof IDBTransaction && (prop === "done" || prop === "store")) { return true; } return prop in target; } }; unwrap = (value) => reverseTransformCache.get(value); } }); // node_modules/idb/build/index.js var build_exports = {}; __export2(build_exports, { deleteDB: () => deleteDB, openDB: () => openDB, unwrap: () => unwrap, wrap: () => wrap }); function openDB(name, version, { blocked, upgrade, blocking, terminated } = {}) { const request = indexedDB.open(name, version); const openPromise = wrap(request); if (upgrade) { request.addEventListener("upgradeneeded", (event) => { upgrade(wrap(request.result), event.oldVersion, event.newVersion, wrap(request.transaction), event); }); } if (blocked) { request.addEventListener("blocked", (event) => blocked( // Casting due to https://github.com/microsoft/TypeScript-DOM-lib-generator/pull/1405 event.oldVersion, event.newVersion, event )); } openPromise.then((db) => { if (terminated) db.addEventListener("close", () => terminated()); if (blocking) { db.addEventListener("versionchange", (event) => blocking(event.oldVersion, event.newVersion, event)); } }).catch(() => { }); return openPromise; } function deleteDB(name, { blocked } = {}) { const request = indexedDB.deleteDatabase(name); if (blocked) { request.addEventListener("blocked", (event) => blocked( // Casting due to https://github.com/microsoft/TypeScript-DOM-lib-generator/pull/1405 event.oldVersion, event )); } return wrap(request).then(() => void 0); } function getMethod(target, prop) { if (!(target instanceof IDBDatabase && !(prop in target) && typeof prop === "string")) { return; } if (cachedMethods.get(prop)) return cachedMethods.get(prop); const targetFuncName = prop.replace(/FromIndex$/, ""); const useIndex = prop !== targetFuncName; const isWrite = writeMethods.includes(targetFuncName); if ( // Bail if the target doesn't exist on the target. Eg, getAll isn't in Edge. !(targetFuncName in (useIndex ? IDBIndex : IDBObjectStore).prototype) || !(isWrite || readMethods.includes(targetFuncName)) ) { return; } const method = async function(storeName, ...args2) { const tx = this.transaction(storeName, isWrite ? "readwrite" : "readonly"); let target2 = tx.store; if (useIndex) target2 = target2.index(args2.shift()); return (await Promise.all([ target2[targetFuncName](...args2), isWrite && tx.done ]))[0]; }; cachedMethods.set(prop, method); return method; } var readMethods, writeMethods, cachedMethods; var init_build = __esm({ "node_modules/idb/build/index.js"() { init_wrap_idb_value(); init_wrap_idb_value(); readMethods = ["get", "getKey", "getAll", "getAllKeys", "count"]; writeMethods = ["put", "add", "delete", "clear"]; cachedMethods = /* @__PURE__ */ new Map(); replaceTraps((oldTraps) => ({ ...oldTraps, get: (target, prop, receiver) => getMethod(target, prop) || oldTraps.get(target, prop, receiver), has: (target, prop) => !!getMethod(target, prop) || oldTraps.has(target, prop) })); } }); // node_modules/hnsw/dist/db.js var require_db2 = __commonJS2({ "node_modules/hnsw/dist/db.js"(exports2) { "use strict"; var __awaiter = exports2 && exports2.__awaiter || function(thisArg, _arguments, P, generator) { function adopt(value) { return value instanceof P ? value : new P(function(resolve) { resolve(value); }); } return new (P || (P = Promise))(function(resolve, reject) { function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } } function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } } function step(result) { result.done ? resolve(result.value) : adopt(result.value).then(fulfilled, rejected); } step((generator = generator.apply(thisArg, _arguments || [])).next()); }); }; Object.defineProperty(exports2, "__esModule", { value: true }); exports2.HNSWWithDB = void 0; var main_1 = require_main2(); var idb_1 = (init_build(), __toCommonJS(build_exports)); var similarity_1 = require_similarity(); var HNSWWithDB = class extends main_1.HNSW { constructor(M, efConstruction, dbName, efSearch = 50) { super(M, efConstruction, null, "cosine", efSearch); this.db = null; this.dbName = dbName; } /** * Creates an IndexedDB-backed HNSW instance. */ static create(M, efConstruction, dbName, efSearch = 50) { return __awaiter(this, void 0, void 0, function* () { const instance = new HNSWWithDB(M, efConstruction, dbName, efSearch); yield instance.initDB(); return instance; }); } initDB() { return __awaiter(this, void 0, void 0, function* () { this.db = yield (0, idb_1.openDB)(this.dbName, 1, { upgrade(db) { db.createObjectStore("hnsw-index"); } }); }); } /** * Closes the current IndexedDB connection if open. */ close() { if (!this.db) { return; } this.db.close(); this.db = null; } /** * Persists the current graph to IndexedDB. */ saveIndex() { return __awaiter(this, void 0, void 0, function* () { if (!this.db) { throw new Error("Database is not initialized"); } yield this.db.put("hnsw-index", this.toJSON(), "hnsw"); }); } /** * Loads a persisted graph from IndexedDB if present. */ loadIndex() { return __awaiter(this, void 0, void 0, function* () { if (!this.db) { throw new Error("Database is not initialized"); } const loadedHNSW = yield this.db.get("hnsw-index", "hnsw"); if (!loadedHNSW) { return; } const hnsw = main_1.HNSW.fromJSON(loadedHNSW); this.M = hnsw.M; this.efConstruction = hnsw.efConstruction; this.efSearch = hnsw.efSearch; this.metric = hnsw.metric; this.d = hnsw.d; this.similarityFunction = hnsw.metric === "cosine" ? similarity_1.cosineSimilarity : similarity_1.euclideanSimilarity; this.levelMax = hnsw.levelMax; this.entryPointId = hnsw.entryPointId; this.nodes = hnsw.nodes; }); } /** * Deletes persisted graph data and re-initializes the backing DB. */ deleteIndex() { return __awaiter(this, void 0, void 0, function* () { if (!this.db) { throw new Error("Database is not initialized"); } this.close(); yield (0, idb_1.deleteDB)(this.dbName); yield this.initDB(); }); } }; exports2.HNSWWithDB = HNSWWithDB; } }); // node_modules/hnsw/dist/index.js var require_dist2 = __commonJS2({ "node_modules/hnsw/dist/index.js"(exports2) { "use strict"; Object.defineProperty(exports2, "__esModule", { value: true }); exports2.HNSWWithDB = exports2.HNSW = void 0; var main_1 = require_main2(); Object.defineProperty(exports2, "HNSW", { enumerable: true, get: function() { return main_1.HNSW; } }); var db_1 = require_db2(); Object.defineProperty(exports2, "HNSWWithDB", { enumerable: true, get: function() { return db_1.HNSWWithDB; } }); } }); // node_modules/obsidian-local-rest-api/main.js var require_main3 = __commonJS2({ "node_modules/obsidian-local-rest-api/main.js"(exports, module) { var __create = Object.create; var __defProp = Object.defineProperty; var __defProps = Object.defineProperties; var __getOwnPropDesc = Object.getOwnPropertyDescriptor; var __getOwnPropDescs = Object.getOwnPropertyDescriptors; var __getOwnPropNames = Object.getOwnPropertyNames; var __getOwnPropSymbols = Object.getOwnPropertySymbols; var __getProtoOf = Object.getPrototypeOf; var __hasOwnProp = Object.prototype.hasOwnProperty; var __propIsEnum = Object.prototype.propertyIsEnumerable; var __pow = Math.pow; var __defNormalProp = (obj, key, value) => key in obj ? __defProp(obj, key, { enumerable: true, configurable: true, writable: true, value }) : obj[key] = value; var __spreadValues = (a, b) => { for (var prop in b || (b = {})) if (__hasOwnProp.call(b, prop)) __defNormalProp(a, prop, b[prop]); if (__getOwnPropSymbols) for (var prop of __getOwnPropSymbols(b)) { if (__propIsEnum.call(b, prop)) __defNormalProp(a, prop, b[prop]); } return a; }; var __spreadProps = (a, b) => __defProps(a, __getOwnPropDescs(b)); var __markAsModule = (target) => __defProp(target, "__esModule", { value: true }); var __objRest = (source, exclude) => { var target = {}; for (var prop in source) if (__hasOwnProp.call(source, prop) && exclude.indexOf(prop) < 0) target[prop] = source[prop]; if (source != null && __getOwnPropSymbols) for (var prop of __getOwnPropSymbols(source)) { if (exclude.indexOf(prop) < 0 && __propIsEnum.call(source, prop)) target[prop] = source[prop]; } return target; }; var __commonJS = (cb, mod) => function __require() { return mod || (0, cb[Object.keys(cb)[0]])((mod = { exports: {} }).exports, mod), mod.exports; }; var __export = (target, all) => { __markAsModule(target); for (var name in all) __defProp(target, name, { get: all[name], enumerable: true }); }; var __reExport = (target, module2, desc) => { if (module2 && typeof module2 === "object" || typeof module2 === "function") { for (let key of __getOwnPropNames(module2)) if (!__hasOwnProp.call(target, key) && key !== "default") __defProp(target, key, { get: () => module2[key], enumerable: !(desc = __getOwnPropDesc(module2, key)) || desc.enumerable }); } return target; }; var __toModule = (module2) => { return __reExport(__markAsModule(__defProp(module2 != null ? __create(__getProtoOf(module2)) : {}, "default", module2 && module2.__esModule && "default" in module2 ? { get: () => module2.default, enumerable: true } : { value: module2, enumerable: true })), module2); }; var __publicField = (obj, key, value) => { __defNormalProp(obj, typeof key !== "symbol" ? key + "" : key, value); return value; }; var __async = (__this, __arguments, generator) => { return new Promise((resolve, reject) => { var fulfilled = (value) => { try { step(generator.next(value)); } catch (e) { reject(e); } }; var rejected = (value) => { try { step(generator.throw(value)); } catch (e) { reject(e); } }; var step = (x) => x.done ? resolve(x.value) : Promise.resolve(x.value).then(fulfilled, rejected); step((generator = generator.apply(__this, __arguments)).next()); }); }; var require_forge = __commonJS({ "node_modules/node-forge/lib/forge.js"(exports2, module2) { module2.exports = { options: { usePureJavaScript: false } }; } }); var require_baseN = __commonJS({ "node_modules/node-forge/lib/baseN.js"(exports2, module2) { var api = {}; module2.exports = api; var _reverseAlphabets = {}; api.encode = function(input, alphabet, maxline) { if (typeof alphabet !== "string") { throw new TypeError('"alphabet" must be a string.'); } if (maxline !== void 0 && typeof maxline !== "number") { throw new TypeError('"maxline" must be a number.'); } var output = ""; if (!(input instanceof Uint8Array)) { output = _encodeWithByteBuffer(input, alphabet); } else { var i = 0; var base = alphabet.length; var first = alphabet.charAt(0); var digits = [0]; for (i = 0; i < input.length; ++i) { for (var j = 0, carry = input[i]; j < digits.length; ++j) { carry += digits[j] << 8; digits[j] = carry % base; carry = carry / base | 0; } while (carry > 0) { digits.push(carry % base); carry = carry / base | 0; } } for (i = 0; input[i] === 0 && i < input.length - 1; ++i) { output += first; } for (i = digits.length - 1; i >= 0; --i) { output += alphabet[digits[i]]; } } if (maxline) { var regex = new RegExp(".{1," + maxline + "}", "g"); output = output.match(regex).join("\r\n"); } return output; }; api.decode = function(input, alphabet) { if (typeof input !== "string") { throw new TypeError('"input" must be a string.'); } if (typeof alphabet !== "string") { throw new TypeError('"alphabet" must be a string.'); } var table = _reverseAlphabets[alphabet]; if (!table) { table = _reverseAlphabets[alphabet] = []; for (var i = 0; i < alphabet.length; ++i) { table[alphabet.charCodeAt(i)] = i; } } input = input.replace(/\s/g, ""); var base = alphabet.length; var first = alphabet.charAt(0); var bytes = [0]; for (var i = 0; i < input.length; i++) { var value = table[input.charCodeAt(i)]; if (value === void 0) { return; } for (var j = 0, carry = value; j < bytes.length; ++j) { carry += bytes[j] * base; bytes[j] = carry & 255; carry >>= 8; } while (carry > 0) { bytes.push(carry & 255); carry >>= 8; } } for (var k = 0; input[k] === first && k < input.length - 1; ++k) { bytes.push(0); } if (typeof Buffer !== "undefined") { return Buffer.from(bytes.reverse()); } return new Uint8Array(bytes.reverse()); }; function _encodeWithByteBuffer(input, alphabet) { var i = 0; var base = alphabet.length; var first = alphabet.charAt(0); var digits = [0]; for (i = 0; i < input.length(); ++i) { for (var j = 0, carry = input.at(i); j < digits.length; ++j) { carry += digits[j] << 8; digits[j] = carry % base; carry = carry / base | 0; } while (carry > 0) { digits.push(carry % base); carry = carry / base | 0; } } var output = ""; for (i = 0; input.at(i) === 0 && i < input.length() - 1; ++i) { output += first; } for (i = digits.length - 1; i >= 0; --i) { output += alphabet[digits[i]]; } return output; } } }); var require_util = __commonJS({ "node_modules/node-forge/lib/util.js"(exports2, module2) { var forge3 = require_forge(); var baseN = require_baseN(); var util = module2.exports = forge3.util = forge3.util || {}; (function() { if (typeof process !== "undefined" && process.nextTick && !process.browser) { util.nextTick = process.nextTick; if (typeof setImmediate === "function") { util.setImmediate = setImmediate; } else { util.setImmediate = util.nextTick; } return; } if (typeof setImmediate === "function") { util.setImmediate = function() { return setImmediate.apply(void 0, arguments); }; util.nextTick = function(callback) { return setImmediate(callback); }; return; } util.setImmediate = function(callback) { setTimeout(callback, 0); }; if (typeof window !== "undefined" && typeof window.postMessage === "function") { let handler2 = function(event) { if (event.source === window && event.data === msg) { event.stopPropagation(); var copy = callbacks.slice(); callbacks.length = 0; copy.forEach(function(callback) { callback(); }); } }; var handler = handler2; var msg = "forge.setImmediate"; var callbacks = []; util.setImmediate = function(callback) { callbacks.push(callback); if (callbacks.length === 1) { window.postMessage(msg, "*"); } }; window.addEventListener("message", handler2, true); } if (typeof MutationObserver !== "undefined") { var now = Date.now(); var attr = true; var div = document.createElement("div"); var callbacks = []; new MutationObserver(function() { var copy = callbacks.slice(); callbacks.length = 0; copy.forEach(function(callback) { callback(); }); }).observe(div, { attributes: true }); var oldSetImmediate = util.setImmediate; util.setImmediate = function(callback) { if (Date.now() - now > 15) { now = Date.now(); oldSetImmediate(callback); } else { callbacks.push(callback); if (callbacks.length === 1) { div.setAttribute("a", attr = !attr); } } }; } util.nextTick = util.setImmediate; })(); util.isNodejs = typeof process !== "undefined" && process.versions && process.versions.node; util.globalScope = function() { if (util.isNodejs) { return global; } return typeof self === "undefined" ? window : self; }(); util.isArray = Array.isArray || function(x) { return Object.prototype.toString.call(x) === "[object Array]"; }; util.isArrayBuffer = function(x) { return typeof ArrayBuffer !== "undefined" && x instanceof ArrayBuffer; }; util.isArrayBufferView = function(x) { return x && util.isArrayBuffer(x.buffer) && x.byteLength !== void 0; }; function _checkBitsParam(n) { if (!(n === 8 || n === 16 || n === 24 || n === 32)) { throw new Error("Only 8, 16, 24, or 32 bits supported: " + n); } } util.ByteBuffer = ByteStringBuffer; function ByteStringBuffer(b) { this.data = ""; this.read = 0; if (typeof b === "string") { this.data = b; } else if (util.isArrayBuffer(b) || util.isArrayBufferView(b)) { if (typeof Buffer !== "undefined" && b instanceof Buffer) { this.data = b.toString("binary"); } else { var arr = new Uint8Array(b); try { this.data = String.fromCharCode.apply(null, arr); } catch (e) { for (var i = 0; i < arr.length; ++i) { this.putByte(arr[i]); } } } } else if (b instanceof ByteStringBuffer || typeof b === "object" && typeof b.data === "string" && typeof b.read === "number") { this.data = b.data; this.read = b.read; } this._constructedStringLength = 0; } util.ByteStringBuffer = ByteStringBuffer; var _MAX_CONSTRUCTED_STRING_LENGTH = 4096; util.ByteStringBuffer.prototype._optimizeConstructedString = function(x) { this._constructedStringLength += x; if (this._constructedStringLength > _MAX_CONSTRUCTED_STRING_LENGTH) { this.data.substr(0, 1); this._constructedStringLength = 0; } }; util.ByteStringBuffer.prototype.length = function() { return this.data.length - this.read; }; util.ByteStringBuffer.prototype.isEmpty = function() { return this.length() <= 0; }; util.ByteStringBuffer.prototype.putByte = function(b) { return this.putBytes(String.fromCharCode(b)); }; util.ByteStringBuffer.prototype.fillWithByte = function(b, n) { b = String.fromCharCode(b); var d = this.data; while (n > 0) { if (n & 1) { d += b; } n >>>= 1; if (n > 0) { b += b; } } this.data = d; this._optimizeConstructedString(n); return this; }; util.ByteStringBuffer.prototype.putBytes = function(bytes) { this.data += bytes; this._optimizeConstructedString(bytes.length); return this; }; util.ByteStringBuffer.prototype.putString = function(str) { return this.putBytes(util.encodeUtf8(str)); }; util.ByteStringBuffer.prototype.putInt16 = function(i) { return this.putBytes(String.fromCharCode(i >> 8 & 255) + String.fromCharCode(i & 255)); }; util.ByteStringBuffer.prototype.putInt24 = function(i) { return this.putBytes(String.fromCharCode(i >> 16 & 255) + String.fromCharCode(i >> 8 & 255) + String.fromCharCode(i & 255)); }; util.ByteStringBuffer.prototype.putInt32 = function(i) { return this.putBytes(String.fromCharCode(i >> 24 & 255) + String.fromCharCode(i >> 16 & 255) + String.fromCharCode(i >> 8 & 255) + String.fromCharCode(i & 255)); }; util.ByteStringBuffer.prototype.putInt16Le = function(i) { return this.putBytes(String.fromCharCode(i & 255) + String.fromCharCode(i >> 8 & 255)); }; util.ByteStringBuffer.prototype.putInt24Le = function(i) { return this.putBytes(String.fromCharCode(i & 255) + String.fromCharCode(i >> 8 & 255) + String.fromCharCode(i >> 16 & 255)); }; util.ByteStringBuffer.prototype.putInt32Le = function(i) { return this.putBytes(String.fromCharCode(i & 255) + String.fromCharCode(i >> 8 & 255) + String.fromCharCode(i >> 16 & 255) + String.fromCharCode(i >> 24 & 255)); }; util.ByteStringBuffer.prototype.putInt = function(i, n) { _checkBitsParam(n); var bytes = ""; do { n -= 8; bytes += String.fromCharCode(i >> n & 255); } while (n > 0); return this.putBytes(bytes); }; util.ByteStringBuffer.prototype.putSignedInt = function(i, n) { if (i < 0) { i += 2 << n - 1; } return this.putInt(i, n); }; util.ByteStringBuffer.prototype.putBuffer = function(buffer) { return this.putBytes(buffer.getBytes()); }; util.ByteStringBuffer.prototype.getByte = function() { return this.data.charCodeAt(this.read++); }; util.ByteStringBuffer.prototype.getInt16 = function() { var rval = this.data.charCodeAt(this.read) << 8 ^ this.data.charCodeAt(this.read + 1); this.read += 2; return rval; }; util.ByteStringBuffer.prototype.getInt24 = function() { var rval = this.data.charCodeAt(this.read) << 16 ^ this.data.charCodeAt(this.read + 1) << 8 ^ this.data.charCodeAt(this.read + 2); this.read += 3; return rval; }; util.ByteStringBuffer.prototype.getInt32 = function() { var rval = this.data.charCodeAt(this.read) << 24 ^ this.data.charCodeAt(this.read + 1) << 16 ^ this.data.charCodeAt(this.read + 2) << 8 ^ this.data.charCodeAt(this.read + 3); this.read += 4; return rval; }; util.ByteStringBuffer.prototype.getInt16Le = function() { var rval = this.data.charCodeAt(this.read) ^ this.data.charCodeAt(this.read + 1) << 8; this.read += 2; return rval; }; util.ByteStringBuffer.prototype.getInt24Le = function() { var rval = this.data.charCodeAt(this.read) ^ this.data.charCodeAt(this.read + 1) << 8 ^ this.data.charCodeAt(this.read + 2) << 16; this.read += 3; return rval; }; util.ByteStringBuffer.prototype.getInt32Le = function() { var rval = this.data.charCodeAt(this.read) ^ this.data.charCodeAt(this.read + 1) << 8 ^ this.data.charCodeAt(this.read + 2) << 16 ^ this.data.charCodeAt(this.read + 3) << 24; this.read += 4; return rval; }; util.ByteStringBuffer.prototype.getInt = function(n) { _checkBitsParam(n); var rval = 0; do { rval = (rval << 8) + this.data.charCodeAt(this.read++); n -= 8; } while (n > 0); return rval; }; util.ByteStringBuffer.prototype.getSignedInt = function(n) { var x = this.getInt(n); var max = 2 << n - 2; if (x >= max) { x -= max << 1; } return x; }; util.ByteStringBuffer.prototype.getBytes = function(count) { var rval; if (count) { count = Math.min(this.length(), count); rval = this.data.slice(this.read, this.read + count); this.read += count; } else if (count === 0) { rval = ""; } else { rval = this.read === 0 ? this.data : this.data.slice(this.read); this.clear(); } return rval; }; util.ByteStringBuffer.prototype.bytes = function(count) { return typeof count === "undefined" ? this.data.slice(this.read) : this.data.slice(this.read, this.read + count); }; util.ByteStringBuffer.prototype.at = function(i) { return this.data.charCodeAt(this.read + i); }; util.ByteStringBuffer.prototype.setAt = function(i, b) { this.data = this.data.substr(0, this.read + i) + String.fromCharCode(b) + this.data.substr(this.read + i + 1); return this; }; util.ByteStringBuffer.prototype.last = function() { return this.data.charCodeAt(this.data.length - 1); }; util.ByteStringBuffer.prototype.copy = function() { var c = util.createBuffer(this.data); c.read = this.read; return c; }; util.ByteStringBuffer.prototype.compact = function() { if (this.read > 0) { this.data = this.data.slice(this.read); this.read = 0; } return this; }; util.ByteStringBuffer.prototype.clear = function() { this.data = ""; this.read = 0; return this; }; util.ByteStringBuffer.prototype.truncate = function(count) { var len = Math.max(0, this.length() - count); this.data = this.data.substr(this.read, len); this.read = 0; return this; }; util.ByteStringBuffer.prototype.toHex = function() { var rval = ""; for (var i = this.read; i < this.data.length; ++i) { var b = this.data.charCodeAt(i); if (b < 16) { rval += "0"; } rval += b.toString(16); } return rval; }; util.ByteStringBuffer.prototype.toString = function() { return util.decodeUtf8(this.bytes()); }; function DataBuffer(b, options) { options = options || {}; this.read = options.readOffset || 0; this.growSize = options.growSize || 1024; var isArrayBuffer = util.isArrayBuffer(b); var isArrayBufferView = util.isArrayBufferView(b); if (isArrayBuffer || isArrayBufferView) { if (isArrayBuffer) { this.data = new DataView(b); } else { this.data = new DataView(b.buffer, b.byteOffset, b.byteLength); } this.write = "writeOffset" in options ? options.writeOffset : this.data.byteLength; return; } this.data = new DataView(new ArrayBuffer(0)); this.write = 0; if (b !== null && b !== void 0) { this.putBytes(b); } if ("writeOffset" in options) { this.write = options.writeOffset; } } util.DataBuffer = DataBuffer; util.DataBuffer.prototype.length = function() { return this.write - this.read; }; util.DataBuffer.prototype.isEmpty = function() { return this.length() <= 0; }; util.DataBuffer.prototype.accommodate = function(amount, growSize) { if (this.length() >= amount) { return this; } growSize = Math.max(growSize || this.growSize, amount); var src = new Uint8Array(this.data.buffer, this.data.byteOffset, this.data.byteLength); var dst = new Uint8Array(this.length() + growSize); dst.set(src); this.data = new DataView(dst.buffer); return this; }; util.DataBuffer.prototype.putByte = function(b) { this.accommodate(1); this.data.setUint8(this.write++, b); return this; }; util.DataBuffer.prototype.fillWithByte = function(b, n) { this.accommodate(n); for (var i = 0; i < n; ++i) { this.data.setUint8(b); } return this; }; util.DataBuffer.prototype.putBytes = function(bytes, encoding) { if (util.isArrayBufferView(bytes)) { var src = new Uint8Array(bytes.buffer, bytes.byteOffset, bytes.byteLength); var len = src.byteLength - src.byteOffset; this.accommodate(len); var dst = new Uint8Array(this.data.buffer, this.write); dst.set(src); this.write += len; return this; } if (util.isArrayBuffer(bytes)) { var src = new Uint8Array(bytes); this.accommodate(src.byteLength); var dst = new Uint8Array(this.data.buffer); dst.set(src, this.write); this.write += src.byteLength; return this; } if (bytes instanceof util.DataBuffer || typeof bytes === "object" && typeof bytes.read === "number" && typeof bytes.write === "number" && util.isArrayBufferView(bytes.data)) { var src = new Uint8Array(bytes.data.byteLength, bytes.read, bytes.length()); this.accommodate(src.byteLength); var dst = new Uint8Array(bytes.data.byteLength, this.write); dst.set(src); this.write += src.byteLength; return this; } if (bytes instanceof util.ByteStringBuffer) { bytes = bytes.data; encoding = "binary"; } encoding = encoding || "binary"; if (typeof bytes === "string") { var view; if (encoding === "hex") { this.accommodate(Math.ceil(bytes.length / 2)); view = new Uint8Array(this.data.buffer, this.write); this.write += util.binary.hex.decode(bytes, view, this.write); return this; } if (encoding === "base64") { this.accommodate(Math.ceil(bytes.length / 4) * 3); view = new Uint8Array(this.data.buffer, this.write); this.write += util.binary.base64.decode(bytes, view, this.write); return this; } if (encoding === "utf8") { bytes = util.encodeUtf8(bytes); encoding = "binary"; } if (encoding === "binary" || encoding === "raw") { this.accommodate(bytes.length); view = new Uint8Array(this.data.buffer, this.write); this.write += util.binary.raw.decode(view); return this; } if (encoding === "utf16") { this.accommodate(bytes.length * 2); view = new Uint16Array(this.data.buffer, this.write); this.write += util.text.utf16.encode(view); return this; } throw new Error("Invalid encoding: " + encoding); } throw Error("Invalid parameter: " + bytes); }; util.DataBuffer.prototype.putBuffer = function(buffer) { this.putBytes(buffer); buffer.clear(); return this; }; util.DataBuffer.prototype.putString = function(str) { return this.putBytes(str, "utf16"); }; util.DataBuffer.prototype.putInt16 = function(i) { this.accommodate(2); this.data.setInt16(this.write, i); this.write += 2; return this; }; util.DataBuffer.prototype.putInt24 = function(i) { this.accommodate(3); this.data.setInt16(this.write, i >> 8 & 65535); this.data.setInt8(this.write, i >> 16 & 255); this.write += 3; return this; }; util.DataBuffer.prototype.putInt32 = function(i) { this.accommodate(4); this.data.setInt32(this.write, i); this.write += 4; return this; }; util.DataBuffer.prototype.putInt16Le = function(i) { this.accommodate(2); this.data.setInt16(this.write, i, true); this.write += 2; return this; }; util.DataBuffer.prototype.putInt24Le = function(i) { this.accommodate(3); this.data.setInt8(this.write, i >> 16 & 255); this.data.setInt16(this.write, i >> 8 & 65535, true); this.write += 3; return this; }; util.DataBuffer.prototype.putInt32Le = function(i) { this.accommodate(4); this.data.setInt32(this.write, i, true); this.write += 4; return this; }; util.DataBuffer.prototype.putInt = function(i, n) { _checkBitsParam(n); this.accommodate(n / 8); do { n -= 8; this.data.setInt8(this.write++, i >> n & 255); } while (n > 0); return this; }; util.DataBuffer.prototype.putSignedInt = function(i, n) { _checkBitsParam(n); this.accommodate(n / 8); if (i < 0) { i += 2 << n - 1; } return this.putInt(i, n); }; util.DataBuffer.prototype.getByte = function() { return this.data.getInt8(this.read++); }; util.DataBuffer.prototype.getInt16 = function() { var rval = this.data.getInt16(this.read); this.read += 2; return rval; }; util.DataBuffer.prototype.getInt24 = function() { var rval = this.data.getInt16(this.read) << 8 ^ this.data.getInt8(this.read + 2); this.read += 3; return rval; }; util.DataBuffer.prototype.getInt32 = function() { var rval = this.data.getInt32(this.read); this.read += 4; return rval; }; util.DataBuffer.prototype.getInt16Le = function() { var rval = this.data.getInt16(this.read, true); this.read += 2; return rval; }; util.DataBuffer.prototype.getInt24Le = function() { var rval = this.data.getInt8(this.read) ^ this.data.getInt16(this.read + 1, true) << 8; this.read += 3; return rval; }; util.DataBuffer.prototype.getInt32Le = function() { var rval = this.data.getInt32(this.read, true); this.read += 4; return rval; }; util.DataBuffer.prototype.getInt = function(n) { _checkBitsParam(n); var rval = 0; do { rval = (rval << 8) + this.data.getInt8(this.read++); n -= 8; } while (n > 0); return rval; }; util.DataBuffer.prototype.getSignedInt = function(n) { var x = this.getInt(n); var max = 2 << n - 2; if (x >= max) { x -= max << 1; } return x; }; util.DataBuffer.prototype.getBytes = function(count) { var rval; if (count) { count = Math.min(this.length(), count); rval = this.data.slice(this.read, this.read + count); this.read += count; } else if (count === 0) { rval = ""; } else { rval = this.read === 0 ? this.data : this.data.slice(this.read); this.clear(); } return rval; }; util.DataBuffer.prototype.bytes = function(count) { return typeof count === "undefined" ? this.data.slice(this.read) : this.data.slice(this.read, this.read + count); }; util.DataBuffer.prototype.at = function(i) { return this.data.getUint8(this.read + i); }; util.DataBuffer.prototype.setAt = function(i, b) { this.data.setUint8(i, b); return this; }; util.DataBuffer.prototype.last = function() { return this.data.getUint8(this.write - 1); }; util.DataBuffer.prototype.copy = function() { return new util.DataBuffer(this); }; util.DataBuffer.prototype.compact = function() { if (this.read > 0) { var src = new Uint8Array(this.data.buffer, this.read); var dst = new Uint8Array(src.byteLength); dst.set(src); this.data = new DataView(dst); this.write -= this.read; this.read = 0; } return this; }; util.DataBuffer.prototype.clear = function() { this.data = new DataView(new ArrayBuffer(0)); this.read = this.write = 0; return this; }; util.DataBuffer.prototype.truncate = function(count) { this.write = Math.max(0, this.length() - count); this.read = Math.min(this.read, this.write); return this; }; util.DataBuffer.prototype.toHex = function() { var rval = ""; for (var i = this.read; i < this.data.byteLength; ++i) { var b = this.data.getUint8(i); if (b < 16) { rval += "0"; } rval += b.toString(16); } return rval; }; util.DataBuffer.prototype.toString = function(encoding) { var view = new Uint8Array(this.data, this.read, this.length()); encoding = encoding || "utf8"; if (encoding === "binary" || encoding === "raw") { return util.binary.raw.encode(view); } if (encoding === "hex") { return util.binary.hex.encode(view); } if (encoding === "base64") { return util.binary.base64.encode(view); } if (encoding === "utf8") { return util.text.utf8.decode(view); } if (encoding === "utf16") { return util.text.utf16.decode(view); } throw new Error("Invalid encoding: " + encoding); }; util.createBuffer = function(input, encoding) { encoding = encoding || "raw"; if (input !== void 0 && encoding === "utf8") { input = util.encodeUtf8(input); } return new util.ByteBuffer(input); }; util.fillString = function(c, n) { var s = ""; while (n > 0) { if (n & 1) { s += c; } n >>>= 1; if (n > 0) { c += c; } } return s; }; util.xorBytes = function(s1, s2, n) { var s3 = ""; var b = ""; var t = ""; var i = 0; var c = 0; for (; n > 0; --n, ++i) { b = s1.charCodeAt(i) ^ s2.charCodeAt(i); if (c >= 10) { s3 += t; t = ""; c = 0; } t += String.fromCharCode(b); ++c; } s3 += t; return s3; }; util.hexToBytes = function(hex) { var rval = ""; var i = 0; if (hex.length & true) { i = 1; rval += String.fromCharCode(parseInt(hex[0], 16)); } for (; i < hex.length; i += 2) { rval += String.fromCharCode(parseInt(hex.substr(i, 2), 16)); } return rval; }; util.bytesToHex = function(bytes) { return util.createBuffer(bytes).toHex(); }; util.int32ToBytes = function(i) { return String.fromCharCode(i >> 24 & 255) + String.fromCharCode(i >> 16 & 255) + String.fromCharCode(i >> 8 & 255) + String.fromCharCode(i & 255); }; var _base64 = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/="; var _base64Idx = [ 62, -1, -1, -1, 63, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, -1, -1, -1, 64, -1, -1, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, -1, -1, -1, -1, -1, -1, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51 ]; var _base58 = "123456789ABCDEFGHJKLMNPQRSTUVWXYZabcdefghijkmnopqrstuvwxyz"; util.encode64 = function(input, maxline) { var line = ""; var output = ""; var chr1, chr2, chr3; var i = 0; while (i < input.length) { chr1 = input.charCodeAt(i++); chr2 = input.charCodeAt(i++); chr3 = input.charCodeAt(i++); line += _base64.charAt(chr1 >> 2); line += _base64.charAt((chr1 & 3) << 4 | chr2 >> 4); if (isNaN(chr2)) { line += "=="; } else { line += _base64.charAt((chr2 & 15) << 2 | chr3 >> 6); line += isNaN(chr3) ? "=" : _base64.charAt(chr3 & 63); } if (maxline && line.length > maxline) { output += line.substr(0, maxline) + "\r\n"; line = line.substr(maxline); } } output += line; return output; }; util.decode64 = function(input) { input = input.replace(/[^A-Za-z0-9\+\/\=]/g, ""); var output = ""; var enc1, enc2, enc3, enc4; var i = 0; while (i < input.length) { enc1 = _base64Idx[input.charCodeAt(i++) - 43]; enc2 = _base64Idx[input.charCodeAt(i++) - 43]; enc3 = _base64Idx[input.charCodeAt(i++) - 43]; enc4 = _base64Idx[input.charCodeAt(i++) - 43]; output += String.fromCharCode(enc1 << 2 | enc2 >> 4); if (enc3 !== 64) { output += String.fromCharCode((enc2 & 15) << 4 | enc3 >> 2); if (enc4 !== 64) { output += String.fromCharCode((enc3 & 3) << 6 | enc4); } } } return output; }; util.encodeUtf8 = function(str) { return unescape(encodeURIComponent(str)); }; util.decodeUtf8 = function(str) { return decodeURIComponent(escape(str)); }; util.binary = { raw: {}, hex: {}, base64: {}, base58: {}, baseN: { encode: baseN.encode, decode: baseN.decode } }; util.binary.raw.encode = function(bytes) { return String.fromCharCode.apply(null, bytes); }; util.binary.raw.decode = function(str, output, offset) { var out = output; if (!out) { out = new Uint8Array(str.length); } offset = offset || 0; var j = offset; for (var i = 0; i < str.length; ++i) { out[j++] = str.charCodeAt(i); } return output ? j - offset : out; }; util.binary.hex.encode = util.bytesToHex; util.binary.hex.decode = function(hex, output, offset) { var out = output; if (!out) { out = new Uint8Array(Math.ceil(hex.length / 2)); } offset = offset || 0; var i = 0, j = offset; if (hex.length & 1) { i = 1; out[j++] = parseInt(hex[0], 16); } for (; i < hex.length; i += 2) { out[j++] = parseInt(hex.substr(i, 2), 16); } return output ? j - offset : out; }; util.binary.base64.encode = function(input, maxline) { var line = ""; var output = ""; var chr1, chr2, chr3; var i = 0; while (i < input.byteLength) { chr1 = input[i++]; chr2 = input[i++]; chr3 = input[i++]; line += _base64.charAt(chr1 >> 2); line += _base64.charAt((chr1 & 3) << 4 | chr2 >> 4); if (isNaN(chr2)) { line += "=="; } else { line += _base64.charAt((chr2 & 15) << 2 | chr3 >> 6); line += isNaN(chr3) ? "=" : _base64.charAt(chr3 & 63); } if (maxline && line.length > maxline) { output += line.substr(0, maxline) + "\r\n"; line = line.substr(maxline); } } output += line; return output; }; util.binary.base64.decode = function(input, output, offset) { var out = output; if (!out) { out = new Uint8Array(Math.ceil(input.length / 4) * 3); } input = input.replace(/[^A-Za-z0-9\+\/\=]/g, ""); offset = offset || 0; var enc1, enc2, enc3, enc4; var i = 0, j = offset; while (i < input.length) { enc1 = _base64Idx[input.charCodeAt(i++) - 43]; enc2 = _base64Idx[input.charCodeAt(i++) - 43]; enc3 = _base64Idx[input.charCodeAt(i++) - 43]; enc4 = _base64Idx[input.charCodeAt(i++) - 43]; out[j++] = enc1 << 2 | enc2 >> 4; if (enc3 !== 64) { out[j++] = (enc2 & 15) << 4 | enc3 >> 2; if (enc4 !== 64) { out[j++] = (enc3 & 3) << 6 | enc4; } } } return output ? j - offset : out.subarray(0, j); }; util.binary.base58.encode = function(input, maxline) { return util.binary.baseN.encode(input, _base58, maxline); }; util.binary.base58.decode = function(input, maxline) { return util.binary.baseN.decode(input, _base58, maxline); }; util.text = { utf8: {}, utf16: {} }; util.text.utf8.encode = function(str, output, offset) { str = util.encodeUtf8(str); var out = output; if (!out) { out = new Uint8Array(str.length); } offset = offset || 0; var j = offset; for (var i = 0; i < str.length; ++i) { out[j++] = str.charCodeAt(i); } return output ? j - offset : out; }; util.text.utf8.decode = function(bytes) { return util.decodeUtf8(String.fromCharCode.apply(null, bytes)); }; util.text.utf16.encode = function(str, output, offset) { var out = output; if (!out) { out = new Uint8Array(str.length * 2); } var view = new Uint16Array(out.buffer); offset = offset || 0; var j = offset; var k = offset; for (var i = 0; i < str.length; ++i) { view[k++] = str.charCodeAt(i); j += 2; } return output ? j - offset : out; }; util.text.utf16.decode = function(bytes) { return String.fromCharCode.apply(null, new Uint16Array(bytes.buffer)); }; util.deflate = function(api, bytes, raw) { bytes = util.decode64(api.deflate(util.encode64(bytes)).rval); if (raw) { var start = 2; var flg = bytes.charCodeAt(1); if (flg & 32) { start = 6; } bytes = bytes.substring(start, bytes.length - 4); } return bytes; }; util.inflate = function(api, bytes, raw) { var rval = api.inflate(util.encode64(bytes)).rval; return rval === null ? null : util.decode64(rval); }; var _setStorageObject = function(api, id, obj) { if (!api) { throw new Error("WebStorage not available."); } var rval; if (obj === null) { rval = api.removeItem(id); } else { obj = util.encode64(JSON.stringify(obj)); rval = api.setItem(id, obj); } if (typeof rval !== "undefined" && rval.rval !== true) { var error = new Error(rval.error.message); error.id = rval.error.id; error.name = rval.error.name; throw error; } }; var _getStorageObject = function(api, id) { if (!api) { throw new Error("WebStorage not available."); } var rval = api.getItem(id); if (api.init) { if (rval.rval === null) { if (rval.error) { var error = new Error(rval.error.message); error.id = rval.error.id; error.name = rval.error.name; throw error; } rval = null; } else { rval = rval.rval; } } if (rval !== null) { rval = JSON.parse(util.decode64(rval)); } return rval; }; var _setItem = function(api, id, key, data) { var obj = _getStorageObject(api, id); if (obj === null) { obj = {}; } obj[key] = data; _setStorageObject(api, id, obj); }; var _getItem = function(api, id, key) { var rval = _getStorageObject(api, id); if (rval !== null) { rval = key in rval ? rval[key] : null; } return rval; }; var _removeItem = function(api, id, key) { var obj = _getStorageObject(api, id); if (obj !== null && key in obj) { delete obj[key]; var empty = true; for (var prop in obj) { empty = false; break; } if (empty) { obj = null; } _setStorageObject(api, id, obj); } }; var _clearItems = function(api, id) { _setStorageObject(api, id, null); }; var _callStorageFunction = function(func, args2, location2) { var rval = null; if (typeof location2 === "undefined") { location2 = ["web", "flash"]; } var type; var done = false; var exception = null; for (var idx in location2) { type = location2[idx]; try { if (type === "flash" || type === "both") { if (args2[0] === null) { throw new Error("Flash local storage not available."); } rval = func.apply(this, args2); done = type === "flash"; } if (type === "web" || type === "both") { args2[0] = localStorage; rval = func.apply(this, args2); done = true; } } catch (ex) { exception = ex; } if (done) { break; } } if (!done) { throw exception; } return rval; }; util.setItem = function(api, id, key, data, location2) { _callStorageFunction(_setItem, arguments, location2); }; util.getItem = function(api, id, key, location2) { return _callStorageFunction(_getItem, arguments, location2); }; util.removeItem = function(api, id, key, location2) { _callStorageFunction(_removeItem, arguments, location2); }; util.clearItems = function(api, id, location2) { _callStorageFunction(_clearItems, arguments, location2); }; util.isEmpty = function(obj) { for (var prop in obj) { if (obj.hasOwnProperty(prop)) { return false; } } return true; }; util.format = function(format) { var re = /%./g; var match; var part; var argi = 0; var parts = []; var last = 0; while (match = re.exec(format)) { part = format.substring(last, re.lastIndex - 2); if (part.length > 0) { parts.push(part); } last = re.lastIndex; var code = match[0][1]; switch (code) { case "s": case "o": if (argi < arguments.length) { parts.push(arguments[argi++ + 1]); } else { parts.push(""); } break; case "%": parts.push("%"); break; default: parts.push("<%" + code + "?>"); } } parts.push(format.substring(last)); return parts.join(""); }; util.formatNumber = function(number, decimals, dec_point, thousands_sep) { var n = number, c = isNaN(decimals = Math.abs(decimals)) ? 2 : decimals; var d = dec_point === void 0 ? "," : dec_point; var t = thousands_sep === void 0 ? "." : thousands_sep, s = n < 0 ? "-" : ""; var i = parseInt(n = Math.abs(+n || 0).toFixed(c), 10) + ""; var j = i.length > 3 ? i.length % 3 : 0; return s + (j ? i.substr(0, j) + t : "") + i.substr(j).replace(/(\d{3})(?=\d)/g, "$1" + t) + (c ? d + Math.abs(n - i).toFixed(c).slice(2) : ""); }; util.formatSize = function(size) { if (size >= 1073741824) { size = util.formatNumber(size / 1073741824, 2, ".", "") + " GiB"; } else if (size >= 1048576) { size = util.formatNumber(size / 1048576, 2, ".", "") + " MiB"; } else if (size >= 1024) { size = util.formatNumber(size / 1024, 0) + " KiB"; } else { size = util.formatNumber(size, 0) + " bytes"; } return size; }; util.bytesFromIP = function(ip) { if (ip.indexOf(".") !== -1) { return util.bytesFromIPv4(ip); } if (ip.indexOf(":") !== -1) { return util.bytesFromIPv6(ip); } return null; }; util.bytesFromIPv4 = function(ip) { ip = ip.split("."); if (ip.length !== 4) { return null; } var b = util.createBuffer(); for (var i = 0; i < ip.length; ++i) { var num = parseInt(ip[i], 10); if (isNaN(num)) { return null; } b.putByte(num); } return b.getBytes(); }; util.bytesFromIPv6 = function(ip) { var blanks = 0; ip = ip.split(":").filter(function(e) { if (e.length === 0) ++blanks; return true; }); var zeros = (8 - ip.length + blanks) * 2; var b = util.createBuffer(); for (var i = 0; i < 8; ++i) { if (!ip[i] || ip[i].length === 0) { b.fillWithByte(0, zeros); zeros = 0; continue; } var bytes = util.hexToBytes(ip[i]); if (bytes.length < 2) { b.putByte(0); } b.putBytes(bytes); } return b.getBytes(); }; util.bytesToIP = function(bytes) { if (bytes.length === 4) { return util.bytesToIPv4(bytes); } if (bytes.length === 16) { return util.bytesToIPv6(bytes); } return null; }; util.bytesToIPv4 = function(bytes) { if (bytes.length !== 4) { return null; } var ip = []; for (var i = 0; i < bytes.length; ++i) { ip.push(bytes.charCodeAt(i)); } return ip.join("."); }; util.bytesToIPv6 = function(bytes) { if (bytes.length !== 16) { return null; } var ip = []; var zeroGroups = []; var zeroMaxGroup = 0; for (var i = 0; i < bytes.length; i += 2) { var hex = util.bytesToHex(bytes[i] + bytes[i + 1]); while (hex[0] === "0" && hex !== "0") { hex = hex.substr(1); } if (hex === "0") { var last = zeroGroups[zeroGroups.length - 1]; var idx = ip.length; if (!last || idx !== last.end + 1) { zeroGroups.push({ start: idx, end: idx }); } else { last.end = idx; if (last.end - last.start > zeroGroups[zeroMaxGroup].end - zeroGroups[zeroMaxGroup].start) { zeroMaxGroup = zeroGroups.length - 1; } } } ip.push(hex); } if (zeroGroups.length > 0) { var group = zeroGroups[zeroMaxGroup]; if (group.end - group.start > 0) { ip.splice(group.start, group.end - group.start + 1, ""); if (group.start === 0) { ip.unshift(""); } if (group.end === 7) { ip.push(""); } } } return ip.join(":"); }; util.estimateCores = function(options, callback) { if (typeof options === "function") { callback = options; options = {}; } options = options || {}; if ("cores" in util && !options.update) { return callback(null, util.cores); } if (typeof navigator !== "undefined" && "hardwareConcurrency" in navigator && navigator.hardwareConcurrency > 0) { util.cores = navigator.hardwareConcurrency; return callback(null, util.cores); } if (typeof Worker === "undefined") { util.cores = 1; return callback(null, util.cores); } if (typeof Blob === "undefined") { util.cores = 2; return callback(null, util.cores); } var blobUrl = URL.createObjectURL(new Blob([ "(", function() { self.addEventListener("message", function(e) { var st = Date.now(); var et = st + 4; while (Date.now() < et) ; self.postMessage({ st, et }); }); }.toString(), ")()" ], { type: "application/javascript" })); sample([], 5, 16); function sample(max, samples, numWorkers) { if (samples === 0) { var avg = Math.floor(max.reduce(function(avg2, x) { return avg2 + x; }, 0) / max.length); util.cores = Math.max(1, avg); URL.revokeObjectURL(blobUrl); return callback(null, util.cores); } map(numWorkers, function(err, results) { max.push(reduce(numWorkers, results)); sample(max, samples - 1, numWorkers); }); } function map(numWorkers, callback2) { var workers = []; var results = []; for (var i = 0; i < numWorkers; ++i) { var worker = new Worker(blobUrl); worker.addEventListener("message", function(e) { results.push(e.data); if (results.length === numWorkers) { for (var i2 = 0; i2 < numWorkers; ++i2) { workers[i2].terminate(); } callback2(null, results); } }); workers.push(worker); } for (var i = 0; i < numWorkers; ++i) { workers[i].postMessage(i); } } function reduce(numWorkers, results) { var overlaps = []; for (var n = 0; n < numWorkers; ++n) { var r1 = results[n]; var overlap = overlaps[n] = []; for (var i = 0; i < numWorkers; ++i) { if (n === i) { continue; } var r2 = results[i]; if (r1.st > r2.st && r1.st < r2.et || r2.st > r1.st && r2.st < r1.et) { overlap.push(i); } } } return overlaps.reduce(function(max, overlap2) { return Math.max(max, overlap2.length); }, 0); } }; } }); var require_cipher = __commonJS({ "node_modules/node-forge/lib/cipher.js"(exports2, module2) { var forge3 = require_forge(); require_util(); module2.exports = forge3.cipher = forge3.cipher || {}; forge3.cipher.algorithms = forge3.cipher.algorithms || {}; forge3.cipher.createCipher = function(algorithm, key) { var api = algorithm; if (typeof api === "string") { api = forge3.cipher.getAlgorithm(api); if (api) { api = api(); } } if (!api) { throw new Error("Unsupported algorithm: " + algorithm); } return new forge3.cipher.BlockCipher({ algorithm: api, key, decrypt: false }); }; forge3.cipher.createDecipher = function(algorithm, key) { var api = algorithm; if (typeof api === "string") { api = forge3.cipher.getAlgorithm(api); if (api) { api = api(); } } if (!api) { throw new Error("Unsupported algorithm: " + algorithm); } return new forge3.cipher.BlockCipher({ algorithm: api, key, decrypt: true }); }; forge3.cipher.registerAlgorithm = function(name, algorithm) { name = name.toUpperCase(); forge3.cipher.algorithms[name] = algorithm; }; forge3.cipher.getAlgorithm = function(name) { name = name.toUpperCase(); if (name in forge3.cipher.algorithms) { return forge3.cipher.algorithms[name]; } return null; }; var BlockCipher = forge3.cipher.BlockCipher = function(options) { this.algorithm = options.algorithm; this.mode = this.algorithm.mode; this.blockSize = this.mode.blockSize; this._finish = false; this._input = null; this.output = null; this._op = options.decrypt ? this.mode.decrypt : this.mode.encrypt; this._decrypt = options.decrypt; this.algorithm.initialize(options); }; BlockCipher.prototype.start = function(options) { options = options || {}; var opts = {}; for (var key in options) { opts[key] = options[key]; } opts.decrypt = this._decrypt; this._finish = false; this._input = forge3.util.createBuffer(); this.output = options.output || forge3.util.createBuffer(); this.mode.start(opts); }; BlockCipher.prototype.update = function(input) { if (input) { this._input.putBuffer(input); } while (!this._op.call(this.mode, this._input, this.output, this._finish) && !this._finish) { } this._input.compact(); }; BlockCipher.prototype.finish = function(pad) { if (pad && (this.mode.name === "ECB" || this.mode.name === "CBC")) { this.mode.pad = function(input) { return pad(this.blockSize, input, false); }; this.mode.unpad = function(output) { return pad(this.blockSize, output, true); }; } var options = {}; options.decrypt = this._decrypt; options.overflow = this._input.length() % this.blockSize; if (!this._decrypt && this.mode.pad) { if (!this.mode.pad(this._input, options)) { return false; } } this._finish = true; this.update(); if (this._decrypt && this.mode.unpad) { if (!this.mode.unpad(this.output, options)) { return false; } } if (this.mode.afterFinish) { if (!this.mode.afterFinish(this.output, options)) { return false; } } return true; }; } }); var require_cipherModes = __commonJS({ "node_modules/node-forge/lib/cipherModes.js"(exports2, module2) { var forge3 = require_forge(); require_util(); forge3.cipher = forge3.cipher || {}; var modes = module2.exports = forge3.cipher.modes = forge3.cipher.modes || {}; modes.ecb = function(options) { options = options || {}; this.name = "ECB"; this.cipher = options.cipher; this.blockSize = options.blockSize || 16; this._ints = this.blockSize / 4; this._inBlock = new Array(this._ints); this._outBlock = new Array(this._ints); }; modes.ecb.prototype.start = function(options) { }; modes.ecb.prototype.encrypt = function(input, output, finish) { if (input.length() < this.blockSize && !(finish && input.length() > 0)) { return true; } for (var i = 0; i < this._ints; ++i) { this._inBlock[i] = input.getInt32(); } this.cipher.encrypt(this._inBlock, this._outBlock); for (var i = 0; i < this._ints; ++i) { output.putInt32(this._outBlock[i]); } }; modes.ecb.prototype.decrypt = function(input, output, finish) { if (input.length() < this.blockSize && !(finish && input.length() > 0)) { return true; } for (var i = 0; i < this._ints; ++i) { this._inBlock[i] = input.getInt32(); } this.cipher.decrypt(this._inBlock, this._outBlock); for (var i = 0; i < this._ints; ++i) { output.putInt32(this._outBlock[i]); } }; modes.ecb.prototype.pad = function(input, options) { var padding = input.length() === this.blockSize ? this.blockSize : this.blockSize - input.length(); input.fillWithByte(padding, padding); return true; }; modes.ecb.prototype.unpad = function(output, options) { if (options.overflow > 0) { return false; } var len = output.length(); var count = output.at(len - 1); if (count > this.blockSize << 2) { return false; } output.truncate(count); return true; }; modes.cbc = function(options) { options = options || {}; this.name = "CBC"; this.cipher = options.cipher; this.blockSize = options.blockSize || 16; this._ints = this.blockSize / 4; this._inBlock = new Array(this._ints); this._outBlock = new Array(this._ints); }; modes.cbc.prototype.start = function(options) { if (options.iv === null) { if (!this._prev) { throw new Error("Invalid IV parameter."); } this._iv = this._prev.slice(0); } else if (!("iv" in options)) { throw new Error("Invalid IV parameter."); } else { this._iv = transformIV(options.iv, this.blockSize); this._prev = this._iv.slice(0); } }; modes.cbc.prototype.encrypt = function(input, output, finish) { if (input.length() < this.blockSize && !(finish && input.length() > 0)) { return true; } for (var i = 0; i < this._ints; ++i) { this._inBlock[i] = this._prev[i] ^ input.getInt32(); } this.cipher.encrypt(this._inBlock, this._outBlock); for (var i = 0; i < this._ints; ++i) { output.putInt32(this._outBlock[i]); } this._prev = this._outBlock; }; modes.cbc.prototype.decrypt = function(input, output, finish) { if (input.length() < this.blockSize && !(finish && input.length() > 0)) { return true; } for (var i = 0; i < this._ints; ++i) { this._inBlock[i] = input.getInt32(); } this.cipher.decrypt(this._inBlock, this._outBlock); for (var i = 0; i < this._ints; ++i) { output.putInt32(this._prev[i] ^ this._outBlock[i]); } this._prev = this._inBlock.slice(0); }; modes.cbc.prototype.pad = function(input, options) { var padding = input.length() === this.blockSize ? this.blockSize : this.blockSize - input.length(); input.fillWithByte(padding, padding); return true; }; modes.cbc.prototype.unpad = function(output, options) { if (options.overflow > 0) { return false; } var len = output.length(); var count = output.at(len - 1); if (count > this.blockSize << 2) { return false; } output.truncate(count); return true; }; modes.cfb = function(options) { options = options || {}; this.name = "CFB"; this.cipher = options.cipher; this.blockSize = options.blockSize || 16; this._ints = this.blockSize / 4; this._inBlock = null; this._outBlock = new Array(this._ints); this._partialBlock = new Array(this._ints); this._partialOutput = forge3.util.createBuffer(); this._partialBytes = 0; }; modes.cfb.prototype.start = function(options) { if (!("iv" in options)) { throw new Error("Invalid IV parameter."); } this._iv = transformIV(options.iv, this.blockSize); this._inBlock = this._iv.slice(0); this._partialBytes = 0; }; modes.cfb.prototype.encrypt = function(input, output, finish) { var inputLength = input.length(); if (inputLength === 0) { return true; } this.cipher.encrypt(this._inBlock, this._outBlock); if (this._partialBytes === 0 && inputLength >= this.blockSize) { for (var i = 0; i < this._ints; ++i) { this._inBlock[i] = input.getInt32() ^ this._outBlock[i]; output.putInt32(this._inBlock[i]); } return; } var partialBytes = (this.blockSize - inputLength) % this.blockSize; if (partialBytes > 0) { partialBytes = this.blockSize - partialBytes; } this._partialOutput.clear(); for (var i = 0; i < this._ints; ++i) { this._partialBlock[i] = input.getInt32() ^ this._outBlock[i]; this._partialOutput.putInt32(this._partialBlock[i]); } if (partialBytes > 0) { input.read -= this.blockSize; } else { for (var i = 0; i < this._ints; ++i) { this._inBlock[i] = this._partialBlock[i]; } } if (this._partialBytes > 0) { this._partialOutput.getBytes(this._partialBytes); } if (partialBytes > 0 && !finish) { output.putBytes(this._partialOutput.getBytes(partialBytes - this._partialBytes)); this._partialBytes = partialBytes; return true; } output.putBytes(this._partialOutput.getBytes(inputLength - this._partialBytes)); this._partialBytes = 0; }; modes.cfb.prototype.decrypt = function(input, output, finish) { var inputLength = input.length(); if (inputLength === 0) { return true; } this.cipher.encrypt(this._inBlock, this._outBlock); if (this._partialBytes === 0 && inputLength >= this.blockSize) { for (var i = 0; i < this._ints; ++i) { this._inBlock[i] = input.getInt32(); output.putInt32(this._inBlock[i] ^ this._outBlock[i]); } return; } var partialBytes = (this.blockSize - inputLength) % this.blockSize; if (partialBytes > 0) { partialBytes = this.blockSize - partialBytes; } this._partialOutput.clear(); for (var i = 0; i < this._ints; ++i) { this._partialBlock[i] = input.getInt32(); this._partialOutput.putInt32(this._partialBlock[i] ^ this._outBlock[i]); } if (partialBytes > 0) { input.read -= this.blockSize; } else { for (var i = 0; i < this._ints; ++i) { this._inBlock[i] = this._partialBlock[i]; } } if (this._partialBytes > 0) { this._partialOutput.getBytes(this._partialBytes); } if (partialBytes > 0 && !finish) { output.putBytes(this._partialOutput.getBytes(partialBytes - this._partialBytes)); this._partialBytes = partialBytes; return true; } output.putBytes(this._partialOutput.getBytes(inputLength - this._partialBytes)); this._partialBytes = 0; }; modes.ofb = function(options) { options = options || {}; this.name = "OFB"; this.cipher = options.cipher; this.blockSize = options.blockSize || 16; this._ints = this.blockSize / 4; this._inBlock = null; this._outBlock = new Array(this._ints); this._partialOutput = forge3.util.createBuffer(); this._partialBytes = 0; }; modes.ofb.prototype.start = function(options) { if (!("iv" in options)) { throw new Error("Invalid IV parameter."); } this._iv = transformIV(options.iv, this.blockSize); this._inBlock = this._iv.slice(0); this._partialBytes = 0; }; modes.ofb.prototype.encrypt = function(input, output, finish) { var inputLength = input.length(); if (input.length() === 0) { return true; } this.cipher.encrypt(this._inBlock, this._outBlock); if (this._partialBytes === 0 && inputLength >= this.blockSize) { for (var i = 0; i < this._ints; ++i) { output.putInt32(input.getInt32() ^ this._outBlock[i]); this._inBlock[i] = this._outBlock[i]; } return; } var partialBytes = (this.blockSize - inputLength) % this.blockSize; if (partialBytes > 0) { partialBytes = this.blockSize - partialBytes; } this._partialOutput.clear(); for (var i = 0; i < this._ints; ++i) { this._partialOutput.putInt32(input.getInt32() ^ this._outBlock[i]); } if (partialBytes > 0) { input.read -= this.blockSize; } else { for (var i = 0; i < this._ints; ++i) { this._inBlock[i] = this._outBlock[i]; } } if (this._partialBytes > 0) { this._partialOutput.getBytes(this._partialBytes); } if (partialBytes > 0 && !finish) { output.putBytes(this._partialOutput.getBytes(partialBytes - this._partialBytes)); this._partialBytes = partialBytes; return true; } output.putBytes(this._partialOutput.getBytes(inputLength - this._partialBytes)); this._partialBytes = 0; }; modes.ofb.prototype.decrypt = modes.ofb.prototype.encrypt; modes.ctr = function(options) { options = options || {}; this.name = "CTR"; this.cipher = options.cipher; this.blockSize = options.blockSize || 16; this._ints = this.blockSize / 4; this._inBlock = null; this._outBlock = new Array(this._ints); this._partialOutput = forge3.util.createBuffer(); this._partialBytes = 0; }; modes.ctr.prototype.start = function(options) { if (!("iv" in options)) { throw new Error("Invalid IV parameter."); } this._iv = transformIV(options.iv, this.blockSize); this._inBlock = this._iv.slice(0); this._partialBytes = 0; }; modes.ctr.prototype.encrypt = function(input, output, finish) { var inputLength = input.length(); if (inputLength === 0) { return true; } this.cipher.encrypt(this._inBlock, this._outBlock); if (this._partialBytes === 0 && inputLength >= this.blockSize) { for (var i = 0; i < this._ints; ++i) { output.putInt32(input.getInt32() ^ this._outBlock[i]); } } else { var partialBytes = (this.blockSize - inputLength) % this.blockSize; if (partialBytes > 0) { partialBytes = this.blockSize - partialBytes; } this._partialOutput.clear(); for (var i = 0; i < this._ints; ++i) { this._partialOutput.putInt32(input.getInt32() ^ this._outBlock[i]); } if (partialBytes > 0) { input.read -= this.blockSize; } if (this._partialBytes > 0) { this._partialOutput.getBytes(this._partialBytes); } if (partialBytes > 0 && !finish) { output.putBytes(this._partialOutput.getBytes(partialBytes - this._partialBytes)); this._partialBytes = partialBytes; return true; } output.putBytes(this._partialOutput.getBytes(inputLength - this._partialBytes)); this._partialBytes = 0; } inc32(this._inBlock); }; modes.ctr.prototype.decrypt = modes.ctr.prototype.encrypt; modes.gcm = function(options) { options = options || {}; this.name = "GCM"; this.cipher = options.cipher; this.blockSize = options.blockSize || 16; this._ints = this.blockSize / 4; this._inBlock = new Array(this._ints); this._outBlock = new Array(this._ints); this._partialOutput = forge3.util.createBuffer(); this._partialBytes = 0; this._R = 3774873600; }; modes.gcm.prototype.start = function(options) { if (!("iv" in options)) { throw new Error("Invalid IV parameter."); } var iv = forge3.util.createBuffer(options.iv); this._cipherLength = 0; var additionalData; if ("additionalData" in options) { additionalData = forge3.util.createBuffer(options.additionalData); } else { additionalData = forge3.util.createBuffer(); } if ("tagLength" in options) { this._tagLength = options.tagLength; } else { this._tagLength = 128; } this._tag = null; if (options.decrypt) { this._tag = forge3.util.createBuffer(options.tag).getBytes(); if (this._tag.length !== this._tagLength / 8) { throw new Error("Authentication tag does not match tag length."); } } this._hashBlock = new Array(this._ints); this.tag = null; this._hashSubkey = new Array(this._ints); this.cipher.encrypt([0, 0, 0, 0], this._hashSubkey); this.componentBits = 4; this._m = this.generateHashTable(this._hashSubkey, this.componentBits); var ivLength = iv.length(); if (ivLength === 12) { this._j0 = [iv.getInt32(), iv.getInt32(), iv.getInt32(), 1]; } else { this._j0 = [0, 0, 0, 0]; while (iv.length() > 0) { this._j0 = this.ghash(this._hashSubkey, this._j0, [iv.getInt32(), iv.getInt32(), iv.getInt32(), iv.getInt32()]); } this._j0 = this.ghash(this._hashSubkey, this._j0, [0, 0].concat(from64To32(ivLength * 8))); } this._inBlock = this._j0.slice(0); inc32(this._inBlock); this._partialBytes = 0; additionalData = forge3.util.createBuffer(additionalData); this._aDataLength = from64To32(additionalData.length() * 8); var overflow = additionalData.length() % this.blockSize; if (overflow) { additionalData.fillWithByte(0, this.blockSize - overflow); } this._s = [0, 0, 0, 0]; while (additionalData.length() > 0) { this._s = this.ghash(this._hashSubkey, this._s, [ additionalData.getInt32(), additionalData.getInt32(), additionalData.getInt32(), additionalData.getInt32() ]); } }; modes.gcm.prototype.encrypt = function(input, output, finish) { var inputLength = input.length(); if (inputLength === 0) { return true; } this.cipher.encrypt(this._inBlock, this._outBlock); if (this._partialBytes === 0 && inputLength >= this.blockSize) { for (var i = 0; i < this._ints; ++i) { output.putInt32(this._outBlock[i] ^= input.getInt32()); } this._cipherLength += this.blockSize; } else { var partialBytes = (this.blockSize - inputLength) % this.blockSize; if (partialBytes > 0) { partialBytes = this.blockSize - partialBytes; } this._partialOutput.clear(); for (var i = 0; i < this._ints; ++i) { this._partialOutput.putInt32(input.getInt32() ^ this._outBlock[i]); } if (partialBytes <= 0 || finish) { if (finish) { var overflow = inputLength % this.blockSize; this._cipherLength += overflow; this._partialOutput.truncate(this.blockSize - overflow); } else { this._cipherLength += this.blockSize; } for (var i = 0; i < this._ints; ++i) { this._outBlock[i] = this._partialOutput.getInt32(); } this._partialOutput.read -= this.blockSize; } if (this._partialBytes > 0) { this._partialOutput.getBytes(this._partialBytes); } if (partialBytes > 0 && !finish) { input.read -= this.blockSize; output.putBytes(this._partialOutput.getBytes(partialBytes - this._partialBytes)); this._partialBytes = partialBytes; return true; } output.putBytes(this._partialOutput.getBytes(inputLength - this._partialBytes)); this._partialBytes = 0; } this._s = this.ghash(this._hashSubkey, this._s, this._outBlock); inc32(this._inBlock); }; modes.gcm.prototype.decrypt = function(input, output, finish) { var inputLength = input.length(); if (inputLength < this.blockSize && !(finish && inputLength > 0)) { return true; } this.cipher.encrypt(this._inBlock, this._outBlock); inc32(this._inBlock); this._hashBlock[0] = input.getInt32(); this._hashBlock[1] = input.getInt32(); this._hashBlock[2] = input.getInt32(); this._hashBlock[3] = input.getInt32(); this._s = this.ghash(this._hashSubkey, this._s, this._hashBlock); for (var i = 0; i < this._ints; ++i) { output.putInt32(this._outBlock[i] ^ this._hashBlock[i]); } if (inputLength < this.blockSize) { this._cipherLength += inputLength % this.blockSize; } else { this._cipherLength += this.blockSize; } }; modes.gcm.prototype.afterFinish = function(output, options) { var rval = true; if (options.decrypt && options.overflow) { output.truncate(this.blockSize - options.overflow); } this.tag = forge3.util.createBuffer(); var lengths = this._aDataLength.concat(from64To32(this._cipherLength * 8)); this._s = this.ghash(this._hashSubkey, this._s, lengths); var tag = []; this.cipher.encrypt(this._j0, tag); for (var i = 0; i < this._ints; ++i) { this.tag.putInt32(this._s[i] ^ tag[i]); } this.tag.truncate(this.tag.length() % (this._tagLength / 8)); if (options.decrypt && this.tag.bytes() !== this._tag) { rval = false; } return rval; }; modes.gcm.prototype.multiply = function(x, y) { var z_i = [0, 0, 0, 0]; var v_i = y.slice(0); for (var i = 0; i < 128; ++i) { var x_i = x[i / 32 | 0] & 1 << 31 - i % 32; if (x_i) { z_i[0] ^= v_i[0]; z_i[1] ^= v_i[1]; z_i[2] ^= v_i[2]; z_i[3] ^= v_i[3]; } this.pow(v_i, v_i); } return z_i; }; modes.gcm.prototype.pow = function(x, out) { var lsb = x[3] & 1; for (var i = 3; i > 0; --i) { out[i] = x[i] >>> 1 | (x[i - 1] & 1) << 31; } out[0] = x[0] >>> 1; if (lsb) { out[0] ^= this._R; } }; modes.gcm.prototype.tableMultiply = function(x) { var z = [0, 0, 0, 0]; for (var i = 0; i < 32; ++i) { var idx = i / 8 | 0; var x_i = x[idx] >>> (7 - i % 8) * 4 & 15; var ah = this._m[i][x_i]; z[0] ^= ah[0]; z[1] ^= ah[1]; z[2] ^= ah[2]; z[3] ^= ah[3]; } return z; }; modes.gcm.prototype.ghash = function(h, y, x) { y[0] ^= x[0]; y[1] ^= x[1]; y[2] ^= x[2]; y[3] ^= x[3]; return this.tableMultiply(y); }; modes.gcm.prototype.generateHashTable = function(h, bits) { var multiplier = 8 / bits; var perInt = 4 * multiplier; var size = 16 * multiplier; var m = new Array(size); for (var i = 0; i < size; ++i) { var tmp = [0, 0, 0, 0]; var idx = i / perInt | 0; var shft = (perInt - 1 - i % perInt) * bits; tmp[idx] = 1 << bits - 1 << shft; m[i] = this.generateSubHashTable(this.multiply(tmp, h), bits); } return m; }; modes.gcm.prototype.generateSubHashTable = function(mid, bits) { var size = 1 << bits; var half = size >>> 1; var m = new Array(size); m[half] = mid.slice(0); var i = half >>> 1; while (i > 0) { this.pow(m[2 * i], m[i] = []); i >>= 1; } i = 2; while (i < half) { for (var j = 1; j < i; ++j) { var m_i = m[i]; var m_j = m[j]; m[i + j] = [ m_i[0] ^ m_j[0], m_i[1] ^ m_j[1], m_i[2] ^ m_j[2], m_i[3] ^ m_j[3] ]; } i *= 2; } m[0] = [0, 0, 0, 0]; for (i = half + 1; i < size; ++i) { var c = m[i ^ half]; m[i] = [mid[0] ^ c[0], mid[1] ^ c[1], mid[2] ^ c[2], mid[3] ^ c[3]]; } return m; }; function transformIV(iv, blockSize) { if (typeof iv === "string") { iv = forge3.util.createBuffer(iv); } if (forge3.util.isArray(iv) && iv.length > 4) { var tmp = iv; iv = forge3.util.createBuffer(); for (var i = 0; i < tmp.length; ++i) { iv.putByte(tmp[i]); } } if (iv.length() < blockSize) { throw new Error("Invalid IV length; got " + iv.length() + " bytes and expected " + blockSize + " bytes."); } if (!forge3.util.isArray(iv)) { var ints = []; var blocks = blockSize / 4; for (var i = 0; i < blocks; ++i) { ints.push(iv.getInt32()); } iv = ints; } return iv; } function inc32(block) { block[block.length - 1] = block[block.length - 1] + 1 & 4294967295; } function from64To32(num) { return [num / 4294967296 | 0, num & 4294967295]; } } }); var require_aes = __commonJS({ "node_modules/node-forge/lib/aes.js"(exports2, module2) { var forge3 = require_forge(); require_cipher(); require_cipherModes(); require_util(); module2.exports = forge3.aes = forge3.aes || {}; forge3.aes.startEncrypting = function(key, iv, output, mode) { var cipher = _createCipher({ key, output, decrypt: false, mode }); cipher.start(iv); return cipher; }; forge3.aes.createEncryptionCipher = function(key, mode) { return _createCipher({ key, output: null, decrypt: false, mode }); }; forge3.aes.startDecrypting = function(key, iv, output, mode) { var cipher = _createCipher({ key, output, decrypt: true, mode }); cipher.start(iv); return cipher; }; forge3.aes.createDecryptionCipher = function(key, mode) { return _createCipher({ key, output: null, decrypt: true, mode }); }; forge3.aes.Algorithm = function(name, mode) { if (!init) { initialize(); } var self2 = this; self2.name = name; self2.mode = new mode({ blockSize: 16, cipher: { encrypt: function(inBlock, outBlock) { return _updateBlock(self2._w, inBlock, outBlock, false); }, decrypt: function(inBlock, outBlock) { return _updateBlock(self2._w, inBlock, outBlock, true); } } }); self2._init = false; }; forge3.aes.Algorithm.prototype.initialize = function(options) { if (this._init) { return; } var key = options.key; var tmp; if (typeof key === "string" && (key.length === 16 || key.length === 24 || key.length === 32)) { key = forge3.util.createBuffer(key); } else if (forge3.util.isArray(key) && (key.length === 16 || key.length === 24 || key.length === 32)) { tmp = key; key = forge3.util.createBuffer(); for (var i = 0; i < tmp.length; ++i) { key.putByte(tmp[i]); } } if (!forge3.util.isArray(key)) { tmp = key; key = []; var len = tmp.length(); if (len === 16 || len === 24 || len === 32) { len = len >>> 2; for (var i = 0; i < len; ++i) { key.push(tmp.getInt32()); } } } if (!forge3.util.isArray(key) || !(key.length === 4 || key.length === 6 || key.length === 8)) { throw new Error("Invalid key parameter."); } var mode = this.mode.name; var encryptOp = ["CFB", "OFB", "CTR", "GCM"].indexOf(mode) !== -1; this._w = _expandKey(key, options.decrypt && !encryptOp); this._init = true; }; forge3.aes._expandKey = function(key, decrypt) { if (!init) { initialize(); } return _expandKey(key, decrypt); }; forge3.aes._updateBlock = _updateBlock; registerAlgorithm("AES-ECB", forge3.cipher.modes.ecb); registerAlgorithm("AES-CBC", forge3.cipher.modes.cbc); registerAlgorithm("AES-CFB", forge3.cipher.modes.cfb); registerAlgorithm("AES-OFB", forge3.cipher.modes.ofb); registerAlgorithm("AES-CTR", forge3.cipher.modes.ctr); registerAlgorithm("AES-GCM", forge3.cipher.modes.gcm); function registerAlgorithm(name, mode) { var factory = function() { return new forge3.aes.Algorithm(name, mode); }; forge3.cipher.registerAlgorithm(name, factory); } var init = false; var Nb = 4; var sbox; var isbox; var rcon; var mix; var imix; function initialize() { init = true; rcon = [0, 1, 2, 4, 8, 16, 32, 64, 128, 27, 54]; var xtime = new Array(256); for (var i = 0; i < 128; ++i) { xtime[i] = i << 1; xtime[i + 128] = i + 128 << 1 ^ 283; } sbox = new Array(256); isbox = new Array(256); mix = new Array(4); imix = new Array(4); for (var i = 0; i < 4; ++i) { mix[i] = new Array(256); imix[i] = new Array(256); } var e = 0, ei = 0, e2, e4, e8, sx, sx2, me, ime; for (var i = 0; i < 256; ++i) { sx = ei ^ ei << 1 ^ ei << 2 ^ ei << 3 ^ ei << 4; sx = sx >> 8 ^ sx & 255 ^ 99; sbox[e] = sx; isbox[sx] = e; sx2 = xtime[sx]; e2 = xtime[e]; e4 = xtime[e2]; e8 = xtime[e4]; me = sx2 << 24 ^ sx << 16 ^ sx << 8 ^ (sx ^ sx2); ime = (e2 ^ e4 ^ e8) << 24 ^ (e ^ e8) << 16 ^ (e ^ e4 ^ e8) << 8 ^ (e ^ e2 ^ e8); for (var n = 0; n < 4; ++n) { mix[n][e] = me; imix[n][sx] = ime; me = me << 24 | me >>> 8; ime = ime << 24 | ime >>> 8; } if (e === 0) { e = ei = 1; } else { e = e2 ^ xtime[xtime[xtime[e2 ^ e8]]]; ei ^= xtime[xtime[ei]]; } } } function _expandKey(key, decrypt) { var w = key.slice(0); var temp, iNk = 1; var Nk = w.length; var Nr1 = Nk + 6 + 1; var end = Nb * Nr1; for (var i = Nk; i < end; ++i) { temp = w[i - 1]; if (i % Nk === 0) { temp = sbox[temp >>> 16 & 255] << 24 ^ sbox[temp >>> 8 & 255] << 16 ^ sbox[temp & 255] << 8 ^ sbox[temp >>> 24] ^ rcon[iNk] << 24; iNk++; } else if (Nk > 6 && i % Nk === 4) { temp = sbox[temp >>> 24] << 24 ^ sbox[temp >>> 16 & 255] << 16 ^ sbox[temp >>> 8 & 255] << 8 ^ sbox[temp & 255]; } w[i] = w[i - Nk] ^ temp; } if (decrypt) { var tmp; var m0 = imix[0]; var m1 = imix[1]; var m2 = imix[2]; var m3 = imix[3]; var wnew = w.slice(0); end = w.length; for (var i = 0, wi = end - Nb; i < end; i += Nb, wi -= Nb) { if (i === 0 || i === end - Nb) { wnew[i] = w[wi]; wnew[i + 1] = w[wi + 3]; wnew[i + 2] = w[wi + 2]; wnew[i + 3] = w[wi + 1]; } else { for (var n = 0; n < Nb; ++n) { tmp = w[wi + n]; wnew[i + (3 & -n)] = m0[sbox[tmp >>> 24]] ^ m1[sbox[tmp >>> 16 & 255]] ^ m2[sbox[tmp >>> 8 & 255]] ^ m3[sbox[tmp & 255]]; } } } w = wnew; } return w; } function _updateBlock(w, input, output, decrypt) { var Nr = w.length / 4 - 1; var m0, m1, m2, m3, sub; if (decrypt) { m0 = imix[0]; m1 = imix[1]; m2 = imix[2]; m3 = imix[3]; sub = isbox; } else { m0 = mix[0]; m1 = mix[1]; m2 = mix[2]; m3 = mix[3]; sub = sbox; } var a, b, c, d, a2, b2, c2; a = input[0] ^ w[0]; b = input[decrypt ? 3 : 1] ^ w[1]; c = input[2] ^ w[2]; d = input[decrypt ? 1 : 3] ^ w[3]; var i = 3; for (var round = 1; round < Nr; ++round) { a2 = m0[a >>> 24] ^ m1[b >>> 16 & 255] ^ m2[c >>> 8 & 255] ^ m3[d & 255] ^ w[++i]; b2 = m0[b >>> 24] ^ m1[c >>> 16 & 255] ^ m2[d >>> 8 & 255] ^ m3[a & 255] ^ w[++i]; c2 = m0[c >>> 24] ^ m1[d >>> 16 & 255] ^ m2[a >>> 8 & 255] ^ m3[b & 255] ^ w[++i]; d = m0[d >>> 24] ^ m1[a >>> 16 & 255] ^ m2[b >>> 8 & 255] ^ m3[c & 255] ^ w[++i]; a = a2; b = b2; c = c2; } output[0] = sub[a >>> 24] << 24 ^ sub[b >>> 16 & 255] << 16 ^ sub[c >>> 8 & 255] << 8 ^ sub[d & 255] ^ w[++i]; output[decrypt ? 3 : 1] = sub[b >>> 24] << 24 ^ sub[c >>> 16 & 255] << 16 ^ sub[d >>> 8 & 255] << 8 ^ sub[a & 255] ^ w[++i]; output[2] = sub[c >>> 24] << 24 ^ sub[d >>> 16 & 255] << 16 ^ sub[a >>> 8 & 255] << 8 ^ sub[b & 255] ^ w[++i]; output[decrypt ? 1 : 3] = sub[d >>> 24] << 24 ^ sub[a >>> 16 & 255] << 16 ^ sub[b >>> 8 & 255] << 8 ^ sub[c & 255] ^ w[++i]; } function _createCipher(options) { options = options || {}; var mode = (options.mode || "CBC").toUpperCase(); var algorithm = "AES-" + mode; var cipher; if (options.decrypt) { cipher = forge3.cipher.createDecipher(algorithm, options.key); } else { cipher = forge3.cipher.createCipher(algorithm, options.key); } var start = cipher.start; cipher.start = function(iv, options2) { var output = null; if (options2 instanceof forge3.util.ByteBuffer) { output = options2; options2 = {}; } options2 = options2 || {}; options2.output = output; options2.iv = iv; start.call(cipher, options2); }; return cipher; } } }); var require_oids = __commonJS({ "node_modules/node-forge/lib/oids.js"(exports2, module2) { var forge3 = require_forge(); forge3.pki = forge3.pki || {}; var oids = module2.exports = forge3.pki.oids = forge3.oids = forge3.oids || {}; function _IN(id, name) { oids[id] = name; oids[name] = id; } function _I_(id, name) { oids[id] = name; } _IN("1.2.840.113549.1.1.1", "rsaEncryption"); _IN("1.2.840.113549.1.1.4", "md5WithRSAEncryption"); _IN("1.2.840.113549.1.1.5", "sha1WithRSAEncryption"); _IN("1.2.840.113549.1.1.7", "RSAES-OAEP"); _IN("1.2.840.113549.1.1.8", "mgf1"); _IN("1.2.840.113549.1.1.9", "pSpecified"); _IN("1.2.840.113549.1.1.10", "RSASSA-PSS"); _IN("1.2.840.113549.1.1.11", "sha256WithRSAEncryption"); _IN("1.2.840.113549.1.1.12", "sha384WithRSAEncryption"); _IN("1.2.840.113549.1.1.13", "sha512WithRSAEncryption"); _IN("1.3.101.112", "EdDSA25519"); _IN("1.2.840.10040.4.3", "dsa-with-sha1"); _IN("1.3.14.3.2.7", "desCBC"); _IN("1.3.14.3.2.26", "sha1"); _IN("1.3.14.3.2.29", "sha1WithRSASignature"); _IN("2.16.840.1.101.3.4.2.1", "sha256"); _IN("2.16.840.1.101.3.4.2.2", "sha384"); _IN("2.16.840.1.101.3.4.2.3", "sha512"); _IN("2.16.840.1.101.3.4.2.4", "sha224"); _IN("2.16.840.1.101.3.4.2.5", "sha512-224"); _IN("2.16.840.1.101.3.4.2.6", "sha512-256"); _IN("1.2.840.113549.2.2", "md2"); _IN("1.2.840.113549.2.5", "md5"); _IN("1.2.840.113549.1.7.1", "data"); _IN("1.2.840.113549.1.7.2", "signedData"); _IN("1.2.840.113549.1.7.3", "envelopedData"); _IN("1.2.840.113549.1.7.4", "signedAndEnvelopedData"); _IN("1.2.840.113549.1.7.5", "digestedData"); _IN("1.2.840.113549.1.7.6", "encryptedData"); _IN("1.2.840.113549.1.9.1", "emailAddress"); _IN("1.2.840.113549.1.9.2", "unstructuredName"); _IN("1.2.840.113549.1.9.3", "contentType"); _IN("1.2.840.113549.1.9.4", "messageDigest"); _IN("1.2.840.113549.1.9.5", "signingTime"); _IN("1.2.840.113549.1.9.6", "counterSignature"); _IN("1.2.840.113549.1.9.7", "challengePassword"); _IN("1.2.840.113549.1.9.8", "unstructuredAddress"); _IN("1.2.840.113549.1.9.14", "extensionRequest"); _IN("1.2.840.113549.1.9.20", "friendlyName"); _IN("1.2.840.113549.1.9.21", "localKeyId"); _IN("1.2.840.113549.1.9.22.1", "x509Certificate"); _IN("1.2.840.113549.1.12.10.1.1", "keyBag"); _IN("1.2.840.113549.1.12.10.1.2", "pkcs8ShroudedKeyBag"); _IN("1.2.840.113549.1.12.10.1.3", "certBag"); _IN("1.2.840.113549.1.12.10.1.4", "crlBag"); _IN("1.2.840.113549.1.12.10.1.5", "secretBag"); _IN("1.2.840.113549.1.12.10.1.6", "safeContentsBag"); _IN("1.2.840.113549.1.5.13", "pkcs5PBES2"); _IN("1.2.840.113549.1.5.12", "pkcs5PBKDF2"); _IN("1.2.840.113549.1.12.1.1", "pbeWithSHAAnd128BitRC4"); _IN("1.2.840.113549.1.12.1.2", "pbeWithSHAAnd40BitRC4"); _IN("1.2.840.113549.1.12.1.3", "pbeWithSHAAnd3-KeyTripleDES-CBC"); _IN("1.2.840.113549.1.12.1.4", "pbeWithSHAAnd2-KeyTripleDES-CBC"); _IN("1.2.840.113549.1.12.1.5", "pbeWithSHAAnd128BitRC2-CBC"); _IN("1.2.840.113549.1.12.1.6", "pbewithSHAAnd40BitRC2-CBC"); _IN("1.2.840.113549.2.7", "hmacWithSHA1"); _IN("1.2.840.113549.2.8", "hmacWithSHA224"); _IN("1.2.840.113549.2.9", "hmacWithSHA256"); _IN("1.2.840.113549.2.10", "hmacWithSHA384"); _IN("1.2.840.113549.2.11", "hmacWithSHA512"); _IN("1.2.840.113549.3.7", "des-EDE3-CBC"); _IN("2.16.840.1.101.3.4.1.2", "aes128-CBC"); _IN("2.16.840.1.101.3.4.1.22", "aes192-CBC"); _IN("2.16.840.1.101.3.4.1.42", "aes256-CBC"); _IN("2.5.4.3", "commonName"); _IN("2.5.4.4", "surname"); _IN("2.5.4.5", "serialNumber"); _IN("2.5.4.6", "countryName"); _IN("2.5.4.7", "localityName"); _IN("2.5.4.8", "stateOrProvinceName"); _IN("2.5.4.9", "streetAddress"); _IN("2.5.4.10", "organizationName"); _IN("2.5.4.11", "organizationalUnitName"); _IN("2.5.4.12", "title"); _IN("2.5.4.13", "description"); _IN("2.5.4.15", "businessCategory"); _IN("2.5.4.17", "postalCode"); _IN("2.5.4.42", "givenName"); _IN("1.3.6.1.4.1.311.60.2.1.2", "jurisdictionOfIncorporationStateOrProvinceName"); _IN("1.3.6.1.4.1.311.60.2.1.3", "jurisdictionOfIncorporationCountryName"); _IN("2.16.840.1.113730.1.1", "nsCertType"); _IN("2.16.840.1.113730.1.13", "nsComment"); _I_("2.5.29.1", "authorityKeyIdentifier"); _I_("2.5.29.2", "keyAttributes"); _I_("2.5.29.3", "certificatePolicies"); _I_("2.5.29.4", "keyUsageRestriction"); _I_("2.5.29.5", "policyMapping"); _I_("2.5.29.6", "subtreesConstraint"); _I_("2.5.29.7", "subjectAltName"); _I_("2.5.29.8", "issuerAltName"); _I_("2.5.29.9", "subjectDirectoryAttributes"); _I_("2.5.29.10", "basicConstraints"); _I_("2.5.29.11", "nameConstraints"); _I_("2.5.29.12", "policyConstraints"); _I_("2.5.29.13", "basicConstraints"); _IN("2.5.29.14", "subjectKeyIdentifier"); _IN("2.5.29.15", "keyUsage"); _I_("2.5.29.16", "privateKeyUsagePeriod"); _IN("2.5.29.17", "subjectAltName"); _IN("2.5.29.18", "issuerAltName"); _IN("2.5.29.19", "basicConstraints"); _I_("2.5.29.20", "cRLNumber"); _I_("2.5.29.21", "cRLReason"); _I_("2.5.29.22", "expirationDate"); _I_("2.5.29.23", "instructionCode"); _I_("2.5.29.24", "invalidityDate"); _I_("2.5.29.25", "cRLDistributionPoints"); _I_("2.5.29.26", "issuingDistributionPoint"); _I_("2.5.29.27", "deltaCRLIndicator"); _I_("2.5.29.28", "issuingDistributionPoint"); _I_("2.5.29.29", "certificateIssuer"); _I_("2.5.29.30", "nameConstraints"); _IN("2.5.29.31", "cRLDistributionPoints"); _IN("2.5.29.32", "certificatePolicies"); _I_("2.5.29.33", "policyMappings"); _I_("2.5.29.34", "policyConstraints"); _IN("2.5.29.35", "authorityKeyIdentifier"); _I_("2.5.29.36", "policyConstraints"); _IN("2.5.29.37", "extKeyUsage"); _I_("2.5.29.46", "freshestCRL"); _I_("2.5.29.54", "inhibitAnyPolicy"); _IN("1.3.6.1.4.1.11129.2.4.2", "timestampList"); _IN("1.3.6.1.5.5.7.1.1", "authorityInfoAccess"); _IN("1.3.6.1.5.5.7.3.1", "serverAuth"); _IN("1.3.6.1.5.5.7.3.2", "clientAuth"); _IN("1.3.6.1.5.5.7.3.3", "codeSigning"); _IN("1.3.6.1.5.5.7.3.4", "emailProtection"); _IN("1.3.6.1.5.5.7.3.8", "timeStamping"); } }); var require_asn1 = __commonJS({ "node_modules/node-forge/lib/asn1.js"(exports2, module2) { var forge3 = require_forge(); require_util(); require_oids(); var asn1 = module2.exports = forge3.asn1 = forge3.asn1 || {}; asn1.Class = { UNIVERSAL: 0, APPLICATION: 64, CONTEXT_SPECIFIC: 128, PRIVATE: 192 }; asn1.Type = { NONE: 0, BOOLEAN: 1, INTEGER: 2, BITSTRING: 3, OCTETSTRING: 4, NULL: 5, OID: 6, ODESC: 7, EXTERNAL: 8, REAL: 9, ENUMERATED: 10, EMBEDDED: 11, UTF8: 12, ROID: 13, SEQUENCE: 16, SET: 17, PRINTABLESTRING: 19, IA5STRING: 22, UTCTIME: 23, GENERALIZEDTIME: 24, BMPSTRING: 30 }; asn1.create = function(tagClass, type, constructed, value, options) { if (forge3.util.isArray(value)) { var tmp = []; for (var i = 0; i < value.length; ++i) { if (value[i] !== void 0) { tmp.push(value[i]); } } value = tmp; } var obj = { tagClass, type, constructed, composed: constructed || forge3.util.isArray(value), value }; if (options && "bitStringContents" in options) { obj.bitStringContents = options.bitStringContents; obj.original = asn1.copy(obj); } return obj; }; asn1.copy = function(obj, options) { var copy; if (forge3.util.isArray(obj)) { copy = []; for (var i = 0; i < obj.length; ++i) { copy.push(asn1.copy(obj[i], options)); } return copy; } if (typeof obj === "string") { return obj; } copy = { tagClass: obj.tagClass, type: obj.type, constructed: obj.constructed, composed: obj.composed, value: asn1.copy(obj.value, options) }; if (options && !options.excludeBitStringContents) { copy.bitStringContents = obj.bitStringContents; } return copy; }; asn1.equals = function(obj1, obj2, options) { if (forge3.util.isArray(obj1)) { if (!forge3.util.isArray(obj2)) { return false; } if (obj1.length !== obj2.length) { return false; } for (var i = 0; i < obj1.length; ++i) { if (!asn1.equals(obj1[i], obj2[i])) { return false; } } return true; } if (typeof obj1 !== typeof obj2) { return false; } if (typeof obj1 === "string") { return obj1 === obj2; } var equal = obj1.tagClass === obj2.tagClass && obj1.type === obj2.type && obj1.constructed === obj2.constructed && obj1.composed === obj2.composed && asn1.equals(obj1.value, obj2.value); if (options && options.includeBitStringContents) { equal = equal && obj1.bitStringContents === obj2.bitStringContents; } return equal; }; asn1.getBerValueLength = function(b) { var b2 = b.getByte(); if (b2 === 128) { return void 0; } var length; var longForm = b2 & 128; if (!longForm) { length = b2; } else { length = b.getInt((b2 & 127) << 3); } return length; }; function _checkBufferLength(bytes, remaining, n) { if (n > remaining) { var error = new Error("Too few bytes to parse DER."); error.available = bytes.length(); error.remaining = remaining; error.requested = n; throw error; } } var _getValueLength = function(bytes, remaining) { var b2 = bytes.getByte(); remaining--; if (b2 === 128) { return void 0; } var length; var longForm = b2 & 128; if (!longForm) { length = b2; } else { var longFormBytes = b2 & 127; _checkBufferLength(bytes, remaining, longFormBytes); length = bytes.getInt(longFormBytes << 3); } if (length < 0) { throw new Error("Negative length: " + length); } return length; }; asn1.fromDer = function(bytes, options) { if (options === void 0) { options = { strict: true, parseAllBytes: true, decodeBitStrings: true }; } if (typeof options === "boolean") { options = { strict: options, parseAllBytes: true, decodeBitStrings: true }; } if (!("strict" in options)) { options.strict = true; } if (!("parseAllBytes" in options)) { options.parseAllBytes = true; } if (!("decodeBitStrings" in options)) { options.decodeBitStrings = true; } if (typeof bytes === "string") { bytes = forge3.util.createBuffer(bytes); } var byteCount = bytes.length(); var value = _fromDer(bytes, bytes.length(), 0, options); if (options.parseAllBytes && bytes.length() !== 0) { var error = new Error("Unparsed DER bytes remain after ASN.1 parsing."); error.byteCount = byteCount; error.remaining = bytes.length(); throw error; } return value; }; function _fromDer(bytes, remaining, depth, options) { var start; _checkBufferLength(bytes, remaining, 2); var b1 = bytes.getByte(); remaining--; var tagClass = b1 & 192; var type = b1 & 31; start = bytes.length(); var length = _getValueLength(bytes, remaining); remaining -= start - bytes.length(); if (length !== void 0 && length > remaining) { if (options.strict) { var error = new Error("Too few bytes to read ASN.1 value."); error.available = bytes.length(); error.remaining = remaining; error.requested = length; throw error; } length = remaining; } var value; var bitStringContents; var constructed = (b1 & 32) === 32; if (constructed) { value = []; if (length === void 0) { for (; ; ) { _checkBufferLength(bytes, remaining, 2); if (bytes.bytes(2) === String.fromCharCode(0, 0)) { bytes.getBytes(2); remaining -= 2; break; } start = bytes.length(); value.push(_fromDer(bytes, remaining, depth + 1, options)); remaining -= start - bytes.length(); } } else { while (length > 0) { start = bytes.length(); value.push(_fromDer(bytes, length, depth + 1, options)); remaining -= start - bytes.length(); length -= start - bytes.length(); } } } if (value === void 0 && tagClass === asn1.Class.UNIVERSAL && type === asn1.Type.BITSTRING) { bitStringContents = bytes.bytes(length); } if (value === void 0 && options.decodeBitStrings && tagClass === asn1.Class.UNIVERSAL && type === asn1.Type.BITSTRING && length > 1) { var savedRead = bytes.read; var savedRemaining = remaining; var unused = 0; if (type === asn1.Type.BITSTRING) { _checkBufferLength(bytes, remaining, 1); unused = bytes.getByte(); remaining--; } if (unused === 0) { try { start = bytes.length(); var subOptions = { strict: true, decodeBitStrings: true }; var composed = _fromDer(bytes, remaining, depth + 1, subOptions); var used = start - bytes.length(); remaining -= used; if (type == asn1.Type.BITSTRING) { used++; } var tc = composed.tagClass; if (used === length && (tc === asn1.Class.UNIVERSAL || tc === asn1.Class.CONTEXT_SPECIFIC)) { value = [composed]; } } catch (ex) { } } if (value === void 0) { bytes.read = savedRead; remaining = savedRemaining; } } if (value === void 0) { if (length === void 0) { if (options.strict) { throw new Error("Non-constructed ASN.1 object of indefinite length."); } length = remaining; } if (type === asn1.Type.BMPSTRING) { value = ""; for (; length > 0; length -= 2) { _checkBufferLength(bytes, remaining, 2); value += String.fromCharCode(bytes.getInt16()); remaining -= 2; } } else { value = bytes.getBytes(length); remaining -= length; } } var asn1Options = bitStringContents === void 0 ? null : { bitStringContents }; return asn1.create(tagClass, type, constructed, value, asn1Options); } asn1.toDer = function(obj) { var bytes = forge3.util.createBuffer(); var b1 = obj.tagClass | obj.type; var value = forge3.util.createBuffer(); var useBitStringContents = false; if ("bitStringContents" in obj) { useBitStringContents = true; if (obj.original) { useBitStringContents = asn1.equals(obj, obj.original); } } if (useBitStringContents) { value.putBytes(obj.bitStringContents); } else if (obj.composed) { if (obj.constructed) { b1 |= 32; } else { value.putByte(0); } for (var i = 0; i < obj.value.length; ++i) { if (obj.value[i] !== void 0) { value.putBuffer(asn1.toDer(obj.value[i])); } } } else { if (obj.type === asn1.Type.BMPSTRING) { for (var i = 0; i < obj.value.length; ++i) { value.putInt16(obj.value.charCodeAt(i)); } } else { if (obj.type === asn1.Type.INTEGER && obj.value.length > 1 && (obj.value.charCodeAt(0) === 0 && (obj.value.charCodeAt(1) & 128) === 0 || obj.value.charCodeAt(0) === 255 && (obj.value.charCodeAt(1) & 128) === 128)) { value.putBytes(obj.value.substr(1)); } else { value.putBytes(obj.value); } } } bytes.putByte(b1); if (value.length() <= 127) { bytes.putByte(value.length() & 127); } else { var len = value.length(); var lenBytes = ""; do { lenBytes += String.fromCharCode(len & 255); len = len >>> 8; } while (len > 0); bytes.putByte(lenBytes.length | 128); for (var i = lenBytes.length - 1; i >= 0; --i) { bytes.putByte(lenBytes.charCodeAt(i)); } } bytes.putBuffer(value); return bytes; }; asn1.oidToDer = function(oid) { var values = oid.split("."); var bytes = forge3.util.createBuffer(); bytes.putByte(40 * parseInt(values[0], 10) + parseInt(values[1], 10)); var last, valueBytes, value, b; for (var i = 2; i < values.length; ++i) { last = true; valueBytes = []; value = parseInt(values[i], 10); do { b = value & 127; value = value >>> 7; if (!last) { b |= 128; } valueBytes.push(b); last = false; } while (value > 0); for (var n = valueBytes.length - 1; n >= 0; --n) { bytes.putByte(valueBytes[n]); } } return bytes; }; asn1.derToOid = function(bytes) { var oid; if (typeof bytes === "string") { bytes = forge3.util.createBuffer(bytes); } var b = bytes.getByte(); oid = Math.floor(b / 40) + "." + b % 40; var value = 0; while (bytes.length() > 0) { b = bytes.getByte(); value = value << 7; if (b & 128) { value += b & 127; } else { oid += "." + (value + b); value = 0; } } return oid; }; asn1.utcTimeToDate = function(utc) { var date = new Date(); var year = parseInt(utc.substr(0, 2), 10); year = year >= 50 ? 1900 + year : 2e3 + year; var MM = parseInt(utc.substr(2, 2), 10) - 1; var DD = parseInt(utc.substr(4, 2), 10); var hh = parseInt(utc.substr(6, 2), 10); var mm = parseInt(utc.substr(8, 2), 10); var ss = 0; if (utc.length > 11) { var c = utc.charAt(10); var end = 10; if (c !== "+" && c !== "-") { ss = parseInt(utc.substr(10, 2), 10); end += 2; } } date.setUTCFullYear(year, MM, DD); date.setUTCHours(hh, mm, ss, 0); if (end) { c = utc.charAt(end); if (c === "+" || c === "-") { var hhoffset = parseInt(utc.substr(end + 1, 2), 10); var mmoffset = parseInt(utc.substr(end + 4, 2), 10); var offset = hhoffset * 60 + mmoffset; offset *= 6e4; if (c === "+") { date.setTime(+date - offset); } else { date.setTime(+date + offset); } } } return date; }; asn1.generalizedTimeToDate = function(gentime) { var date = new Date(); var YYYY = parseInt(gentime.substr(0, 4), 10); var MM = parseInt(gentime.substr(4, 2), 10) - 1; var DD = parseInt(gentime.substr(6, 2), 10); var hh = parseInt(gentime.substr(8, 2), 10); var mm = parseInt(gentime.substr(10, 2), 10); var ss = parseInt(gentime.substr(12, 2), 10); var fff = 0; var offset = 0; var isUTC = false; if (gentime.charAt(gentime.length - 1) === "Z") { isUTC = true; } var end = gentime.length - 5, c = gentime.charAt(end); if (c === "+" || c === "-") { var hhoffset = parseInt(gentime.substr(end + 1, 2), 10); var mmoffset = parseInt(gentime.substr(end + 4, 2), 10); offset = hhoffset * 60 + mmoffset; offset *= 6e4; if (c === "+") { offset *= -1; } isUTC = true; } if (gentime.charAt(14) === ".") { fff = parseFloat(gentime.substr(14), 10) * 1e3; } if (isUTC) { date.setUTCFullYear(YYYY, MM, DD); date.setUTCHours(hh, mm, ss, fff); date.setTime(+date + offset); } else { date.setFullYear(YYYY, MM, DD); date.setHours(hh, mm, ss, fff); } return date; }; asn1.dateToUtcTime = function(date) { if (typeof date === "string") { return date; } var rval = ""; var format = []; format.push(("" + date.getUTCFullYear()).substr(2)); format.push("" + (date.getUTCMonth() + 1)); format.push("" + date.getUTCDate()); format.push("" + date.getUTCHours()); format.push("" + date.getUTCMinutes()); format.push("" + date.getUTCSeconds()); for (var i = 0; i < format.length; ++i) { if (format[i].length < 2) { rval += "0"; } rval += format[i]; } rval += "Z"; return rval; }; asn1.dateToGeneralizedTime = function(date) { if (typeof date === "string") { return date; } var rval = ""; var format = []; format.push("" + date.getUTCFullYear()); format.push("" + (date.getUTCMonth() + 1)); format.push("" + date.getUTCDate()); format.push("" + date.getUTCHours()); format.push("" + date.getUTCMinutes()); format.push("" + date.getUTCSeconds()); for (var i = 0; i < format.length; ++i) { if (format[i].length < 2) { rval += "0"; } rval += format[i]; } rval += "Z"; return rval; }; asn1.integerToDer = function(x) { var rval = forge3.util.createBuffer(); if (x >= -128 && x < 128) { return rval.putSignedInt(x, 8); } if (x >= -32768 && x < 32768) { return rval.putSignedInt(x, 16); } if (x >= -8388608 && x < 8388608) { return rval.putSignedInt(x, 24); } if (x >= -2147483648 && x < 2147483648) { return rval.putSignedInt(x, 32); } var error = new Error("Integer too large; max is 32-bits."); error.integer = x; throw error; }; asn1.derToInteger = function(bytes) { if (typeof bytes === "string") { bytes = forge3.util.createBuffer(bytes); } var n = bytes.length() * 8; if (n > 32) { throw new Error("Integer too large; max is 32-bits."); } return bytes.getSignedInt(n); }; asn1.validate = function(obj, v, capture, errors) { var rval = false; if ((obj.tagClass === v.tagClass || typeof v.tagClass === "undefined") && (obj.type === v.type || typeof v.type === "undefined")) { if (obj.constructed === v.constructed || typeof v.constructed === "undefined") { rval = true; if (v.value && forge3.util.isArray(v.value)) { var j = 0; for (var i = 0; rval && i < v.value.length; ++i) { rval = v.value[i].optional || false; if (obj.value[j]) { rval = asn1.validate(obj.value[j], v.value[i], capture, errors); if (rval) { ++j; } else if (v.value[i].optional) { rval = true; } } if (!rval && errors) { errors.push("[" + v.name + '] Tag class "' + v.tagClass + '", type "' + v.type + '" expected value length "' + v.value.length + '", got "' + obj.value.length + '"'); } } } if (rval && capture) { if (v.capture) { capture[v.capture] = obj.value; } if (v.captureAsn1) { capture[v.captureAsn1] = obj; } if (v.captureBitStringContents && "bitStringContents" in obj) { capture[v.captureBitStringContents] = obj.bitStringContents; } if (v.captureBitStringValue && "bitStringContents" in obj) { var value; if (obj.bitStringContents.length < 2) { capture[v.captureBitStringValue] = ""; } else { var unused = obj.bitStringContents.charCodeAt(0); if (unused !== 0) { throw new Error("captureBitStringValue only supported for zero unused bits"); } capture[v.captureBitStringValue] = obj.bitStringContents.slice(1); } } } } else if (errors) { errors.push("[" + v.name + '] Expected constructed "' + v.constructed + '", got "' + obj.constructed + '"'); } } else if (errors) { if (obj.tagClass !== v.tagClass) { errors.push("[" + v.name + '] Expected tag class "' + v.tagClass + '", got "' + obj.tagClass + '"'); } if (obj.type !== v.type) { errors.push("[" + v.name + '] Expected type "' + v.type + '", got "' + obj.type + '"'); } } return rval; }; var _nonLatinRegex = /[^\\u0000-\\u00ff]/; asn1.prettyPrint = function(obj, level, indentation) { var rval = ""; level = level || 0; indentation = indentation || 2; if (level > 0) { rval += "\n"; } var indent = ""; for (var i = 0; i < level * indentation; ++i) { indent += " "; } rval += indent + "Tag: "; switch (obj.tagClass) { case asn1.Class.UNIVERSAL: rval += "Universal:"; break; case asn1.Class.APPLICATION: rval += "Application:"; break; case asn1.Class.CONTEXT_SPECIFIC: rval += "Context-Specific:"; break; case asn1.Class.PRIVATE: rval += "Private:"; break; } if (obj.tagClass === asn1.Class.UNIVERSAL) { rval += obj.type; switch (obj.type) { case asn1.Type.NONE: rval += " (None)"; break; case asn1.Type.BOOLEAN: rval += " (Boolean)"; break; case asn1.Type.INTEGER: rval += " (Integer)"; break; case asn1.Type.BITSTRING: rval += " (Bit string)"; break; case asn1.Type.OCTETSTRING: rval += " (Octet string)"; break; case asn1.Type.NULL: rval += " (Null)"; break; case asn1.Type.OID: rval += " (Object Identifier)"; break; case asn1.Type.ODESC: rval += " (Object Descriptor)"; break; case asn1.Type.EXTERNAL: rval += " (External or Instance of)"; break; case asn1.Type.REAL: rval += " (Real)"; break; case asn1.Type.ENUMERATED: rval += " (Enumerated)"; break; case asn1.Type.EMBEDDED: rval += " (Embedded PDV)"; break; case asn1.Type.UTF8: rval += " (UTF8)"; break; case asn1.Type.ROID: rval += " (Relative Object Identifier)"; break; case asn1.Type.SEQUENCE: rval += " (Sequence)"; break; case asn1.Type.SET: rval += " (Set)"; break; case asn1.Type.PRINTABLESTRING: rval += " (Printable String)"; break; case asn1.Type.IA5String: rval += " (IA5String (ASCII))"; break; case asn1.Type.UTCTIME: rval += " (UTC time)"; break; case asn1.Type.GENERALIZEDTIME: rval += " (Generalized time)"; break; case asn1.Type.BMPSTRING: rval += " (BMP String)"; break; } } else { rval += obj.type; } rval += "\n"; rval += indent + "Constructed: " + obj.constructed + "\n"; if (obj.composed) { var subvalues = 0; var sub = ""; for (var i = 0; i < obj.value.length; ++i) { if (obj.value[i] !== void 0) { subvalues += 1; sub += asn1.prettyPrint(obj.value[i], level + 1, indentation); if (i + 1 < obj.value.length) { sub += ","; } } } rval += indent + "Sub values: " + subvalues + sub; } else { rval += indent + "Value: "; if (obj.type === asn1.Type.OID) { var oid = asn1.derToOid(obj.value); rval += oid; if (forge3.pki && forge3.pki.oids) { if (oid in forge3.pki.oids) { rval += " (" + forge3.pki.oids[oid] + ") "; } } } if (obj.type === asn1.Type.INTEGER) { try { rval += asn1.derToInteger(obj.value); } catch (ex) { rval += "0x" + forge3.util.bytesToHex(obj.value); } } else if (obj.type === asn1.Type.BITSTRING) { if (obj.value.length > 1) { rval += "0x" + forge3.util.bytesToHex(obj.value.slice(1)); } else { rval += "(none)"; } if (obj.value.length > 0) { var unused = obj.value.charCodeAt(0); if (unused == 1) { rval += " (1 unused bit shown)"; } else if (unused > 1) { rval += " (" + unused + " unused bits shown)"; } } } else if (obj.type === asn1.Type.OCTETSTRING) { if (!_nonLatinRegex.test(obj.value)) { rval += "(" + obj.value + ") "; } rval += "0x" + forge3.util.bytesToHex(obj.value); } else if (obj.type === asn1.Type.UTF8) { try { rval += forge3.util.decodeUtf8(obj.value); } catch (e) { if (e.message === "URI malformed") { rval += "0x" + forge3.util.bytesToHex(obj.value) + " (malformed UTF8)"; } else { throw e; } } } else if (obj.type === asn1.Type.PRINTABLESTRING || obj.type === asn1.Type.IA5String) { rval += obj.value; } else if (_nonLatinRegex.test(obj.value)) { rval += "0x" + forge3.util.bytesToHex(obj.value); } else if (obj.value.length === 0) { rval += "[null]"; } else { rval += obj.value; } } return rval; }; } }); var require_md = __commonJS({ "node_modules/node-forge/lib/md.js"(exports2, module2) { var forge3 = require_forge(); module2.exports = forge3.md = forge3.md || {}; forge3.md.algorithms = forge3.md.algorithms || {}; } }); var require_hmac = __commonJS({ "node_modules/node-forge/lib/hmac.js"(exports2, module2) { var forge3 = require_forge(); require_md(); require_util(); var hmac = module2.exports = forge3.hmac = forge3.hmac || {}; hmac.create = function() { var _key = null; var _md = null; var _ipadding = null; var _opadding = null; var ctx = {}; ctx.start = function(md, key) { if (md !== null) { if (typeof md === "string") { md = md.toLowerCase(); if (md in forge3.md.algorithms) { _md = forge3.md.algorithms[md].create(); } else { throw new Error('Unknown hash algorithm "' + md + '"'); } } else { _md = md; } } if (key === null) { key = _key; } else { if (typeof key === "string") { key = forge3.util.createBuffer(key); } else if (forge3.util.isArray(key)) { var tmp = key; key = forge3.util.createBuffer(); for (var i = 0; i < tmp.length; ++i) { key.putByte(tmp[i]); } } var keylen = key.length(); if (keylen > _md.blockLength) { _md.start(); _md.update(key.bytes()); key = _md.digest(); } _ipadding = forge3.util.createBuffer(); _opadding = forge3.util.createBuffer(); keylen = key.length(); for (var i = 0; i < keylen; ++i) { var tmp = key.at(i); _ipadding.putByte(54 ^ tmp); _opadding.putByte(92 ^ tmp); } if (keylen < _md.blockLength) { var tmp = _md.blockLength - keylen; for (var i = 0; i < tmp; ++i) { _ipadding.putByte(54); _opadding.putByte(92); } } _key = key; _ipadding = _ipadding.bytes(); _opadding = _opadding.bytes(); } _md.start(); _md.update(_ipadding); }; ctx.update = function(bytes) { _md.update(bytes); }; ctx.getMac = function() { var inner = _md.digest().bytes(); _md.start(); _md.update(_opadding); _md.update(inner); return _md.digest(); }; ctx.digest = ctx.getMac; return ctx; }; } }); var require_md5 = __commonJS({ "node_modules/node-forge/lib/md5.js"(exports2, module2) { var forge3 = require_forge(); require_md(); require_util(); var md5 = module2.exports = forge3.md5 = forge3.md5 || {}; forge3.md.md5 = forge3.md.algorithms.md5 = md5; md5.create = function() { if (!_initialized) { _init(); } var _state = null; var _input = forge3.util.createBuffer(); var _w = new Array(16); var md = { algorithm: "md5", blockLength: 64, digestLength: 16, messageLength: 0, fullMessageLength: null, messageLengthSize: 8 }; md.start = function() { md.messageLength = 0; md.fullMessageLength = md.messageLength64 = []; var int32s = md.messageLengthSize / 4; for (var i = 0; i < int32s; ++i) { md.fullMessageLength.push(0); } _input = forge3.util.createBuffer(); _state = { h0: 1732584193, h1: 4023233417, h2: 2562383102, h3: 271733878 }; return md; }; md.start(); md.update = function(msg, encoding) { if (encoding === "utf8") { msg = forge3.util.encodeUtf8(msg); } var len = msg.length; md.messageLength += len; len = [len / 4294967296 >>> 0, len >>> 0]; for (var i = md.fullMessageLength.length - 1; i >= 0; --i) { md.fullMessageLength[i] += len[1]; len[1] = len[0] + (md.fullMessageLength[i] / 4294967296 >>> 0); md.fullMessageLength[i] = md.fullMessageLength[i] >>> 0; len[0] = len[1] / 4294967296 >>> 0; } _input.putBytes(msg); _update(_state, _w, _input); if (_input.read > 2048 || _input.length() === 0) { _input.compact(); } return md; }; md.digest = function() { var finalBlock = forge3.util.createBuffer(); finalBlock.putBytes(_input.bytes()); var remaining = md.fullMessageLength[md.fullMessageLength.length - 1] + md.messageLengthSize; var overflow = remaining & md.blockLength - 1; finalBlock.putBytes(_padding.substr(0, md.blockLength - overflow)); var bits, carry = 0; for (var i = md.fullMessageLength.length - 1; i >= 0; --i) { bits = md.fullMessageLength[i] * 8 + carry; carry = bits / 4294967296 >>> 0; finalBlock.putInt32Le(bits >>> 0); } var s2 = { h0: _state.h0, h1: _state.h1, h2: _state.h2, h3: _state.h3 }; _update(s2, _w, finalBlock); var rval = forge3.util.createBuffer(); rval.putInt32Le(s2.h0); rval.putInt32Le(s2.h1); rval.putInt32Le(s2.h2); rval.putInt32Le(s2.h3); return rval; }; return md; }; var _padding = null; var _g = null; var _r = null; var _k = null; var _initialized = false; function _init() { _padding = String.fromCharCode(128); _padding += forge3.util.fillString(String.fromCharCode(0), 64); _g = [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 1, 6, 11, 0, 5, 10, 15, 4, 9, 14, 3, 8, 13, 2, 7, 12, 5, 8, 11, 14, 1, 4, 7, 10, 13, 0, 3, 6, 9, 12, 15, 2, 0, 7, 14, 5, 12, 3, 10, 1, 8, 15, 6, 13, 4, 11, 2, 9 ]; _r = [ 7, 12, 17, 22, 7, 12, 17, 22, 7, 12, 17, 22, 7, 12, 17, 22, 5, 9, 14, 20, 5, 9, 14, 20, 5, 9, 14, 20, 5, 9, 14, 20, 4, 11, 16, 23, 4, 11, 16, 23, 4, 11, 16, 23, 4, 11, 16, 23, 6, 10, 15, 21, 6, 10, 15, 21, 6, 10, 15, 21, 6, 10, 15, 21 ]; _k = new Array(64); for (var i = 0; i < 64; ++i) { _k[i] = Math.floor(Math.abs(Math.sin(i + 1)) * 4294967296); } _initialized = true; } function _update(s, w, bytes) { var t, a, b, c, d, f, r, i; var len = bytes.length(); while (len >= 64) { a = s.h0; b = s.h1; c = s.h2; d = s.h3; for (i = 0; i < 16; ++i) { w[i] = bytes.getInt32Le(); f = d ^ b & (c ^ d); t = a + f + _k[i] + w[i]; r = _r[i]; a = d; d = c; c = b; b += t << r | t >>> 32 - r; } for (; i < 32; ++i) { f = c ^ d & (b ^ c); t = a + f + _k[i] + w[_g[i]]; r = _r[i]; a = d; d = c; c = b; b += t << r | t >>> 32 - r; } for (; i < 48; ++i) { f = b ^ c ^ d; t = a + f + _k[i] + w[_g[i]]; r = _r[i]; a = d; d = c; c = b; b += t << r | t >>> 32 - r; } for (; i < 64; ++i) { f = c ^ (b | ~d); t = a + f + _k[i] + w[_g[i]]; r = _r[i]; a = d; d = c; c = b; b += t << r | t >>> 32 - r; } s.h0 = s.h0 + a | 0; s.h1 = s.h1 + b | 0; s.h2 = s.h2 + c | 0; s.h3 = s.h3 + d | 0; len -= 64; } } } }); var require_pem = __commonJS({ "node_modules/node-forge/lib/pem.js"(exports2, module2) { var forge3 = require_forge(); require_util(); var pem = module2.exports = forge3.pem = forge3.pem || {}; pem.encode = function(msg, options) { options = options || {}; var rval = "-----BEGIN " + msg.type + "-----\r\n"; var header; if (msg.procType) { header = { name: "Proc-Type", values: [String(msg.procType.version), msg.procType.type] }; rval += foldHeader(header); } if (msg.contentDomain) { header = { name: "Content-Domain", values: [msg.contentDomain] }; rval += foldHeader(header); } if (msg.dekInfo) { header = { name: "DEK-Info", values: [msg.dekInfo.algorithm] }; if (msg.dekInfo.parameters) { header.values.push(msg.dekInfo.parameters); } rval += foldHeader(header); } if (msg.headers) { for (var i = 0; i < msg.headers.length; ++i) { rval += foldHeader(msg.headers[i]); } } if (msg.procType) { rval += "\r\n"; } rval += forge3.util.encode64(msg.body, options.maxline || 64) + "\r\n"; rval += "-----END " + msg.type + "-----\r\n"; return rval; }; pem.decode = function(str) { var rval = []; var rMessage = /\s*-----BEGIN ([A-Z0-9- ]+)-----\r?\n?([\x21-\x7e\s]+?(?:\r?\n\r?\n))?([:A-Za-z0-9+\/=\s]+?)-----END \1-----/g; var rHeader = /([\x21-\x7e]+):\s*([\x21-\x7e\s^:]+)/; var rCRLF = /\r?\n/; var match; while (true) { match = rMessage.exec(str); if (!match) { break; } var type = match[1]; if (type === "NEW CERTIFICATE REQUEST") { type = "CERTIFICATE REQUEST"; } var msg = { type, procType: null, contentDomain: null, dekInfo: null, headers: [], body: forge3.util.decode64(match[3]) }; rval.push(msg); if (!match[2]) { continue; } var lines = match[2].split(rCRLF); var li = 0; while (match && li < lines.length) { var line = lines[li].replace(/\s+$/, ""); for (var nl = li + 1; nl < lines.length; ++nl) { var next = lines[nl]; if (!/\s/.test(next[0])) { break; } line += next; li = nl; } match = line.match(rHeader); if (match) { var header = { name: match[1], values: [] }; var values = match[2].split(","); for (var vi = 0; vi < values.length; ++vi) { header.values.push(ltrim(values[vi])); } if (!msg.procType) { if (header.name !== "Proc-Type") { throw new Error('Invalid PEM formatted message. The first encapsulated header must be "Proc-Type".'); } else if (header.values.length !== 2) { throw new Error('Invalid PEM formatted message. The "Proc-Type" header must have two subfields.'); } msg.procType = { version: values[0], type: values[1] }; } else if (!msg.contentDomain && header.name === "Content-Domain") { msg.contentDomain = values[0] || ""; } else if (!msg.dekInfo && header.name === "DEK-Info") { if (header.values.length === 0) { throw new Error('Invalid PEM formatted message. The "DEK-Info" header must have at least one subfield.'); } msg.dekInfo = { algorithm: values[0], parameters: values[1] || null }; } else { msg.headers.push(header); } } ++li; } if (msg.procType === "ENCRYPTED" && !msg.dekInfo) { throw new Error('Invalid PEM formatted message. The "DEK-Info" header must be present if "Proc-Type" is "ENCRYPTED".'); } } if (rval.length === 0) { throw new Error("Invalid PEM formatted message."); } return rval; }; function foldHeader(header) { var rval = header.name + ": "; var values = []; var insertSpace = function(match, $1) { return " " + $1; }; for (var i = 0; i < header.values.length; ++i) { values.push(header.values[i].replace(/^(\S+\r\n)/, insertSpace)); } rval += values.join(",") + "\r\n"; var length = 0; var candidate = -1; for (var i = 0; i < rval.length; ++i, ++length) { if (length > 65 && candidate !== -1) { var insert = rval[candidate]; if (insert === ",") { ++candidate; rval = rval.substr(0, candidate) + "\r\n " + rval.substr(candidate); } else { rval = rval.substr(0, candidate) + "\r\n" + insert + rval.substr(candidate + 1); } length = i - candidate - 1; candidate = -1; ++i; } else if (rval[i] === " " || rval[i] === " " || rval[i] === ",") { candidate = i; } } return rval; } function ltrim(str) { return str.replace(/^\s+/, ""); } } }); var require_des = __commonJS({ "node_modules/node-forge/lib/des.js"(exports2, module2) { var forge3 = require_forge(); require_cipher(); require_cipherModes(); require_util(); module2.exports = forge3.des = forge3.des || {}; forge3.des.startEncrypting = function(key, iv, output, mode) { var cipher = _createCipher({ key, output, decrypt: false, mode: mode || (iv === null ? "ECB" : "CBC") }); cipher.start(iv); return cipher; }; forge3.des.createEncryptionCipher = function(key, mode) { return _createCipher({ key, output: null, decrypt: false, mode }); }; forge3.des.startDecrypting = function(key, iv, output, mode) { var cipher = _createCipher({ key, output, decrypt: true, mode: mode || (iv === null ? "ECB" : "CBC") }); cipher.start(iv); return cipher; }; forge3.des.createDecryptionCipher = function(key, mode) { return _createCipher({ key, output: null, decrypt: true, mode }); }; forge3.des.Algorithm = function(name, mode) { var self2 = this; self2.name = name; self2.mode = new mode({ blockSize: 8, cipher: { encrypt: function(inBlock, outBlock) { return _updateBlock(self2._keys, inBlock, outBlock, false); }, decrypt: function(inBlock, outBlock) { return _updateBlock(self2._keys, inBlock, outBlock, true); } } }); self2._init = false; }; forge3.des.Algorithm.prototype.initialize = function(options) { if (this._init) { return; } var key = forge3.util.createBuffer(options.key); if (this.name.indexOf("3DES") === 0) { if (key.length() !== 24) { throw new Error("Invalid Triple-DES key size: " + key.length() * 8); } } this._keys = _createKeys(key); this._init = true; }; registerAlgorithm("DES-ECB", forge3.cipher.modes.ecb); registerAlgorithm("DES-CBC", forge3.cipher.modes.cbc); registerAlgorithm("DES-CFB", forge3.cipher.modes.cfb); registerAlgorithm("DES-OFB", forge3.cipher.modes.ofb); registerAlgorithm("DES-CTR", forge3.cipher.modes.ctr); registerAlgorithm("3DES-ECB", forge3.cipher.modes.ecb); registerAlgorithm("3DES-CBC", forge3.cipher.modes.cbc); registerAlgorithm("3DES-CFB", forge3.cipher.modes.cfb); registerAlgorithm("3DES-OFB", forge3.cipher.modes.ofb); registerAlgorithm("3DES-CTR", forge3.cipher.modes.ctr); function registerAlgorithm(name, mode) { var factory = function() { return new forge3.des.Algorithm(name, mode); }; forge3.cipher.registerAlgorithm(name, factory); } var spfunction1 = [16843776, 0, 65536, 16843780, 16842756, 66564, 4, 65536, 1024, 16843776, 16843780, 1024, 16778244, 16842756, 16777216, 4, 1028, 16778240, 16778240, 66560, 66560, 16842752, 16842752, 16778244, 65540, 16777220, 16777220, 65540, 0, 1028, 66564, 16777216, 65536, 16843780, 4, 16842752, 16843776, 16777216, 16777216, 1024, 16842756, 65536, 66560, 16777220, 1024, 4, 16778244, 66564, 16843780, 65540, 16842752, 16778244, 16777220, 1028, 66564, 16843776, 1028, 16778240, 16778240, 0, 65540, 66560, 0, 16842756]; var spfunction2 = [-2146402272, -2147450880, 32768, 1081376, 1048576, 32, -2146435040, -2147450848, -2147483616, -2146402272, -2146402304, -2147483648, -2147450880, 1048576, 32, -2146435040, 1081344, 1048608, -2147450848, 0, -2147483648, 32768, 1081376, -2146435072, 1048608, -2147483616, 0, 1081344, 32800, -2146402304, -2146435072, 32800, 0, 1081376, -2146435040, 1048576, -2147450848, -2146435072, -2146402304, 32768, -2146435072, -2147450880, 32, -2146402272, 1081376, 32, 32768, -2147483648, 32800, -2146402304, 1048576, -2147483616, 1048608, -2147450848, -2147483616, 1048608, 1081344, 0, -2147450880, 32800, -2147483648, -2146435040, -2146402272, 1081344]; var spfunction3 = [520, 134349312, 0, 134348808, 134218240, 0, 131592, 134218240, 131080, 134217736, 134217736, 131072, 134349320, 131080, 134348800, 520, 134217728, 8, 134349312, 512, 131584, 134348800, 134348808, 131592, 134218248, 131584, 131072, 134218248, 8, 134349320, 512, 134217728, 134349312, 134217728, 131080, 520, 131072, 134349312, 134218240, 0, 512, 131080, 134349320, 134218240, 134217736, 512, 0, 134348808, 134218248, 131072, 134217728, 134349320, 8, 131592, 131584, 134217736, 134348800, 134218248, 520, 134348800, 131592, 8, 134348808, 131584]; var spfunction4 = [8396801, 8321, 8321, 128, 8396928, 8388737, 8388609, 8193, 0, 8396800, 8396800, 8396929, 129, 0, 8388736, 8388609, 1, 8192, 8388608, 8396801, 128, 8388608, 8193, 8320, 8388737, 1, 8320, 8388736, 8192, 8396928, 8396929, 129, 8388736, 8388609, 8396800, 8396929, 129, 0, 0, 8396800, 8320, 8388736, 8388737, 1, 8396801, 8321, 8321, 128, 8396929, 129, 1, 8192, 8388609, 8193, 8396928, 8388737, 8193, 8320, 8388608, 8396801, 128, 8388608, 8192, 8396928]; var spfunction5 = [256, 34078976, 34078720, 1107296512, 524288, 256, 1073741824, 34078720, 1074266368, 524288, 33554688, 1074266368, 1107296512, 1107820544, 524544, 1073741824, 33554432, 1074266112, 1074266112, 0, 1073742080, 1107820800, 1107820800, 33554688, 1107820544, 1073742080, 0, 1107296256, 34078976, 33554432, 1107296256, 524544, 524288, 1107296512, 256, 33554432, 1073741824, 34078720, 1107296512, 1074266368, 33554688, 1073741824, 1107820544, 34078976, 1074266368, 256, 33554432, 1107820544, 1107820800, 524544, 1107296256, 1107820800, 34078720, 0, 1074266112, 1107296256, 524544, 33554688, 1073742080, 524288, 0, 1074266112, 34078976, 1073742080]; var spfunction6 = [536870928, 541065216, 16384, 541081616, 541065216, 16, 541081616, 4194304, 536887296, 4210704, 4194304, 536870928, 4194320, 536887296, 536870912, 16400, 0, 4194320, 536887312, 16384, 4210688, 536887312, 16, 541065232, 541065232, 0, 4210704, 541081600, 16400, 4210688, 541081600, 536870912, 536887296, 16, 541065232, 4210688, 541081616, 4194304, 16400, 536870928, 4194304, 536887296, 536870912, 16400, 536870928, 541081616, 4210688, 541065216, 4210704, 541081600, 0, 541065232, 16, 16384, 541065216, 4210704, 16384, 4194320, 536887312, 0, 541081600, 536870912, 4194320, 536887312]; var spfunction7 = [2097152, 69206018, 67110914, 0, 2048, 67110914, 2099202, 69208064, 69208066, 2097152, 0, 67108866, 2, 67108864, 69206018, 2050, 67110912, 2099202, 2097154, 67110912, 67108866, 69206016, 69208064, 2097154, 69206016, 2048, 2050, 69208066, 2099200, 2, 67108864, 2099200, 67108864, 2099200, 2097152, 67110914, 67110914, 69206018, 69206018, 2, 2097154, 67108864, 67110912, 2097152, 69208064, 2050, 2099202, 69208064, 2050, 67108866, 69208066, 69206016, 2099200, 0, 2, 69208066, 0, 2099202, 69206016, 2048, 67108866, 67110912, 2048, 2097154]; var spfunction8 = [268439616, 4096, 262144, 268701760, 268435456, 268439616, 64, 268435456, 262208, 268697600, 268701760, 266240, 268701696, 266304, 4096, 64, 268697600, 268435520, 268439552, 4160, 266240, 262208, 268697664, 268701696, 4160, 0, 0, 268697664, 268435520, 268439552, 266304, 262144, 266304, 262144, 268701696, 4096, 64, 268697664, 4096, 266304, 268439552, 64, 268435520, 268697600, 268697664, 268435456, 262144, 268439616, 0, 268701760, 262208, 268435520, 268697600, 268439552, 268439616, 0, 268701760, 266240, 266240, 4160, 4160, 262208, 268435456, 268701696]; function _createKeys(key) { var pc2bytes0 = [0, 4, 536870912, 536870916, 65536, 65540, 536936448, 536936452, 512, 516, 536871424, 536871428, 66048, 66052, 536936960, 536936964], pc2bytes1 = [0, 1, 1048576, 1048577, 67108864, 67108865, 68157440, 68157441, 256, 257, 1048832, 1048833, 67109120, 67109121, 68157696, 68157697], pc2bytes2 = [0, 8, 2048, 2056, 16777216, 16777224, 16779264, 16779272, 0, 8, 2048, 2056, 16777216, 16777224, 16779264, 16779272], pc2bytes3 = [0, 2097152, 134217728, 136314880, 8192, 2105344, 134225920, 136323072, 131072, 2228224, 134348800, 136445952, 139264, 2236416, 134356992, 136454144], pc2bytes4 = [0, 262144, 16, 262160, 0, 262144, 16, 262160, 4096, 266240, 4112, 266256, 4096, 266240, 4112, 266256], pc2bytes5 = [0, 1024, 32, 1056, 0, 1024, 32, 1056, 33554432, 33555456, 33554464, 33555488, 33554432, 33555456, 33554464, 33555488], pc2bytes6 = [0, 268435456, 524288, 268959744, 2, 268435458, 524290, 268959746, 0, 268435456, 524288, 268959744, 2, 268435458, 524290, 268959746], pc2bytes7 = [0, 65536, 2048, 67584, 536870912, 536936448, 536872960, 536938496, 131072, 196608, 133120, 198656, 537001984, 537067520, 537004032, 537069568], pc2bytes8 = [0, 262144, 0, 262144, 2, 262146, 2, 262146, 33554432, 33816576, 33554432, 33816576, 33554434, 33816578, 33554434, 33816578], pc2bytes9 = [0, 268435456, 8, 268435464, 0, 268435456, 8, 268435464, 1024, 268436480, 1032, 268436488, 1024, 268436480, 1032, 268436488], pc2bytes10 = [0, 32, 0, 32, 1048576, 1048608, 1048576, 1048608, 8192, 8224, 8192, 8224, 1056768, 1056800, 1056768, 1056800], pc2bytes11 = [0, 16777216, 512, 16777728, 2097152, 18874368, 2097664, 18874880, 67108864, 83886080, 67109376, 83886592, 69206016, 85983232, 69206528, 85983744], pc2bytes12 = [0, 4096, 134217728, 134221824, 524288, 528384, 134742016, 134746112, 16, 4112, 134217744, 134221840, 524304, 528400, 134742032, 134746128], pc2bytes13 = [0, 4, 256, 260, 0, 4, 256, 260, 1, 5, 257, 261, 1, 5, 257, 261]; var iterations = key.length() > 8 ? 3 : 1; var keys = []; var shifts = [0, 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0]; var n = 0, tmp; for (var j = 0; j < iterations; j++) { var left = key.getInt32(); var right = key.getInt32(); tmp = (left >>> 4 ^ right) & 252645135; right ^= tmp; left ^= tmp << 4; tmp = (right >>> -16 ^ left) & 65535; left ^= tmp; right ^= tmp << -16; tmp = (left >>> 2 ^ right) & 858993459; right ^= tmp; left ^= tmp << 2; tmp = (right >>> -16 ^ left) & 65535; left ^= tmp; right ^= tmp << -16; tmp = (left >>> 1 ^ right) & 1431655765; right ^= tmp; left ^= tmp << 1; tmp = (right >>> 8 ^ left) & 16711935; left ^= tmp; right ^= tmp << 8; tmp = (left >>> 1 ^ right) & 1431655765; right ^= tmp; left ^= tmp << 1; tmp = left << 8 | right >>> 20 & 240; left = right << 24 | right << 8 & 16711680 | right >>> 8 & 65280 | right >>> 24 & 240; right = tmp; for (var i = 0; i < shifts.length; ++i) { if (shifts[i]) { left = left << 2 | left >>> 26; right = right << 2 | right >>> 26; } else { left = left << 1 | left >>> 27; right = right << 1 | right >>> 27; } left &= -15; right &= -15; var lefttmp = pc2bytes0[left >>> 28] | pc2bytes1[left >>> 24 & 15] | pc2bytes2[left >>> 20 & 15] | pc2bytes3[left >>> 16 & 15] | pc2bytes4[left >>> 12 & 15] | pc2bytes5[left >>> 8 & 15] | pc2bytes6[left >>> 4 & 15]; var righttmp = pc2bytes7[right >>> 28] | pc2bytes8[right >>> 24 & 15] | pc2bytes9[right >>> 20 & 15] | pc2bytes10[right >>> 16 & 15] | pc2bytes11[right >>> 12 & 15] | pc2bytes12[right >>> 8 & 15] | pc2bytes13[right >>> 4 & 15]; tmp = (righttmp >>> 16 ^ lefttmp) & 65535; keys[n++] = lefttmp ^ tmp; keys[n++] = righttmp ^ tmp << 16; } } return keys; } function _updateBlock(keys, input, output, decrypt) { var iterations = keys.length === 32 ? 3 : 9; var looping; if (iterations === 3) { looping = decrypt ? [30, -2, -2] : [0, 32, 2]; } else { looping = decrypt ? [94, 62, -2, 32, 64, 2, 30, -2, -2] : [0, 32, 2, 62, 30, -2, 64, 96, 2]; } var tmp; var left = input[0]; var right = input[1]; tmp = (left >>> 4 ^ right) & 252645135; right ^= tmp; left ^= tmp << 4; tmp = (left >>> 16 ^ right) & 65535; right ^= tmp; left ^= tmp << 16; tmp = (right >>> 2 ^ left) & 858993459; left ^= tmp; right ^= tmp << 2; tmp = (right >>> 8 ^ left) & 16711935; left ^= tmp; right ^= tmp << 8; tmp = (left >>> 1 ^ right) & 1431655765; right ^= tmp; left ^= tmp << 1; left = left << 1 | left >>> 31; right = right << 1 | right >>> 31; for (var j = 0; j < iterations; j += 3) { var endloop = looping[j + 1]; var loopinc = looping[j + 2]; for (var i = looping[j]; i != endloop; i += loopinc) { var right1 = right ^ keys[i]; var right2 = (right >>> 4 | right << 28) ^ keys[i + 1]; tmp = left; left = right; right = tmp ^ (spfunction2[right1 >>> 24 & 63] | spfunction4[right1 >>> 16 & 63] | spfunction6[right1 >>> 8 & 63] | spfunction8[right1 & 63] | spfunction1[right2 >>> 24 & 63] | spfunction3[right2 >>> 16 & 63] | spfunction5[right2 >>> 8 & 63] | spfunction7[right2 & 63]); } tmp = left; left = right; right = tmp; } left = left >>> 1 | left << 31; right = right >>> 1 | right << 31; tmp = (left >>> 1 ^ right) & 1431655765; right ^= tmp; left ^= tmp << 1; tmp = (right >>> 8 ^ left) & 16711935; left ^= tmp; right ^= tmp << 8; tmp = (right >>> 2 ^ left) & 858993459; left ^= tmp; right ^= tmp << 2; tmp = (left >>> 16 ^ right) & 65535; right ^= tmp; left ^= tmp << 16; tmp = (left >>> 4 ^ right) & 252645135; right ^= tmp; left ^= tmp << 4; output[0] = left; output[1] = right; } function _createCipher(options) { options = options || {}; var mode = (options.mode || "CBC").toUpperCase(); var algorithm = "DES-" + mode; var cipher; if (options.decrypt) { cipher = forge3.cipher.createDecipher(algorithm, options.key); } else { cipher = forge3.cipher.createCipher(algorithm, options.key); } var start = cipher.start; cipher.start = function(iv, options2) { var output = null; if (options2 instanceof forge3.util.ByteBuffer) { output = options2; options2 = {}; } options2 = options2 || {}; options2.output = output; options2.iv = iv; start.call(cipher, options2); }; return cipher; } } }); var require_pbkdf2 = __commonJS({ "node_modules/node-forge/lib/pbkdf2.js"(exports2, module2) { var forge3 = require_forge(); require_hmac(); require_md(); require_util(); var pkcs5 = forge3.pkcs5 = forge3.pkcs5 || {}; var crypto3; if (forge3.util.isNodejs && !forge3.options.usePureJavaScript) { crypto3 = require("crypto"); } module2.exports = forge3.pbkdf2 = pkcs5.pbkdf2 = function(p, s, c, dkLen, md, callback) { if (typeof md === "function") { callback = md; md = null; } if (forge3.util.isNodejs && !forge3.options.usePureJavaScript && crypto3.pbkdf2 && (md === null || typeof md !== "object") && (crypto3.pbkdf2Sync.length > 4 || (!md || md === "sha1"))) { if (typeof md !== "string") { md = "sha1"; } p = Buffer.from(p, "binary"); s = Buffer.from(s, "binary"); if (!callback) { if (crypto3.pbkdf2Sync.length === 4) { return crypto3.pbkdf2Sync(p, s, c, dkLen).toString("binary"); } return crypto3.pbkdf2Sync(p, s, c, dkLen, md).toString("binary"); } if (crypto3.pbkdf2Sync.length === 4) { return crypto3.pbkdf2(p, s, c, dkLen, function(err2, key) { if (err2) { return callback(err2); } callback(null, key.toString("binary")); }); } return crypto3.pbkdf2(p, s, c, dkLen, md, function(err2, key) { if (err2) { return callback(err2); } callback(null, key.toString("binary")); }); } if (typeof md === "undefined" || md === null) { md = "sha1"; } if (typeof md === "string") { if (!(md in forge3.md.algorithms)) { throw new Error("Unknown hash algorithm: " + md); } md = forge3.md[md].create(); } var hLen = md.digestLength; if (dkLen > 4294967295 * hLen) { var err = new Error("Derived key is too long."); if (callback) { return callback(err); } throw err; } var len = Math.ceil(dkLen / hLen); var r = dkLen - (len - 1) * hLen; var prf = forge3.hmac.create(); prf.start(md, p); var dk = ""; var xor, u_c, u_c1; if (!callback) { for (var i = 1; i <= len; ++i) { prf.start(null, null); prf.update(s); prf.update(forge3.util.int32ToBytes(i)); xor = u_c1 = prf.digest().getBytes(); for (var j = 2; j <= c; ++j) { prf.start(null, null); prf.update(u_c1); u_c = prf.digest().getBytes(); xor = forge3.util.xorBytes(xor, u_c, hLen); u_c1 = u_c; } dk += i < len ? xor : xor.substr(0, r); } return dk; } var i = 1, j; function outer() { if (i > len) { return callback(null, dk); } prf.start(null, null); prf.update(s); prf.update(forge3.util.int32ToBytes(i)); xor = u_c1 = prf.digest().getBytes(); j = 2; inner(); } function inner() { if (j <= c) { prf.start(null, null); prf.update(u_c1); u_c = prf.digest().getBytes(); xor = forge3.util.xorBytes(xor, u_c, hLen); u_c1 = u_c; ++j; return forge3.util.setImmediate(inner); } dk += i < len ? xor : xor.substr(0, r); ++i; outer(); } outer(); }; } }); var require_sha256 = __commonJS({ "node_modules/node-forge/lib/sha256.js"(exports2, module2) { var forge3 = require_forge(); require_md(); require_util(); var sha256 = module2.exports = forge3.sha256 = forge3.sha256 || {}; forge3.md.sha256 = forge3.md.algorithms.sha256 = sha256; sha256.create = function() { if (!_initialized) { _init(); } var _state = null; var _input = forge3.util.createBuffer(); var _w = new Array(64); var md = { algorithm: "sha256", blockLength: 64, digestLength: 32, messageLength: 0, fullMessageLength: null, messageLengthSize: 8 }; md.start = function() { md.messageLength = 0; md.fullMessageLength = md.messageLength64 = []; var int32s = md.messageLengthSize / 4; for (var i = 0; i < int32s; ++i) { md.fullMessageLength.push(0); } _input = forge3.util.createBuffer(); _state = { h0: 1779033703, h1: 3144134277, h2: 1013904242, h3: 2773480762, h4: 1359893119, h5: 2600822924, h6: 528734635, h7: 1541459225 }; return md; }; md.start(); md.update = function(msg, encoding) { if (encoding === "utf8") { msg = forge3.util.encodeUtf8(msg); } var len = msg.length; md.messageLength += len; len = [len / 4294967296 >>> 0, len >>> 0]; for (var i = md.fullMessageLength.length - 1; i >= 0; --i) { md.fullMessageLength[i] += len[1]; len[1] = len[0] + (md.fullMessageLength[i] / 4294967296 >>> 0); md.fullMessageLength[i] = md.fullMessageLength[i] >>> 0; len[0] = len[1] / 4294967296 >>> 0; } _input.putBytes(msg); _update(_state, _w, _input); if (_input.read > 2048 || _input.length() === 0) { _input.compact(); } return md; }; md.digest = function() { var finalBlock = forge3.util.createBuffer(); finalBlock.putBytes(_input.bytes()); var remaining = md.fullMessageLength[md.fullMessageLength.length - 1] + md.messageLengthSize; var overflow = remaining & md.blockLength - 1; finalBlock.putBytes(_padding.substr(0, md.blockLength - overflow)); var next, carry; var bits = md.fullMessageLength[0] * 8; for (var i = 0; i < md.fullMessageLength.length - 1; ++i) { next = md.fullMessageLength[i + 1] * 8; carry = next / 4294967296 >>> 0; bits += carry; finalBlock.putInt32(bits >>> 0); bits = next >>> 0; } finalBlock.putInt32(bits); var s2 = { h0: _state.h0, h1: _state.h1, h2: _state.h2, h3: _state.h3, h4: _state.h4, h5: _state.h5, h6: _state.h6, h7: _state.h7 }; _update(s2, _w, finalBlock); var rval = forge3.util.createBuffer(); rval.putInt32(s2.h0); rval.putInt32(s2.h1); rval.putInt32(s2.h2); rval.putInt32(s2.h3); rval.putInt32(s2.h4); rval.putInt32(s2.h5); rval.putInt32(s2.h6); rval.putInt32(s2.h7); return rval; }; return md; }; var _padding = null; var _initialized = false; var _k = null; function _init() { _padding = String.fromCharCode(128); _padding += forge3.util.fillString(String.fromCharCode(0), 64); _k = [ 1116352408, 1899447441, 3049323471, 3921009573, 961987163, 1508970993, 2453635748, 2870763221, 3624381080, 310598401, 607225278, 1426881987, 1925078388, 2162078206, 2614888103, 3248222580, 3835390401, 4022224774, 264347078, 604807628, 770255983, 1249150122, 1555081692, 1996064986, 2554220882, 2821834349, 2952996808, 3210313671, 3336571891, 3584528711, 113926993, 338241895, 666307205, 773529912, 1294757372, 1396182291, 1695183700, 1986661051, 2177026350, 2456956037, 2730485921, 2820302411, 3259730800, 3345764771, 3516065817, 3600352804, 4094571909, 275423344, 430227734, 506948616, 659060556, 883997877, 958139571, 1322822218, 1537002063, 1747873779, 1955562222, 2024104815, 2227730452, 2361852424, 2428436474, 2756734187, 3204031479, 3329325298 ]; _initialized = true; } function _update(s, w, bytes) { var t1, t2, s0, s1, ch, maj, i, a, b, c, d, e, f, g, h; var len = bytes.length(); while (len >= 64) { for (i = 0; i < 16; ++i) { w[i] = bytes.getInt32(); } for (; i < 64; ++i) { t1 = w[i - 2]; t1 = (t1 >>> 17 | t1 << 15) ^ (t1 >>> 19 | t1 << 13) ^ t1 >>> 10; t2 = w[i - 15]; t2 = (t2 >>> 7 | t2 << 25) ^ (t2 >>> 18 | t2 << 14) ^ t2 >>> 3; w[i] = t1 + w[i - 7] + t2 + w[i - 16] | 0; } a = s.h0; b = s.h1; c = s.h2; d = s.h3; e = s.h4; f = s.h5; g = s.h6; h = s.h7; for (i = 0; i < 64; ++i) { s1 = (e >>> 6 | e << 26) ^ (e >>> 11 | e << 21) ^ (e >>> 25 | e << 7); ch = g ^ e & (f ^ g); s0 = (a >>> 2 | a << 30) ^ (a >>> 13 | a << 19) ^ (a >>> 22 | a << 10); maj = a & b | c & (a ^ b); t1 = h + s1 + ch + _k[i] + w[i]; t2 = s0 + maj; h = g; g = f; f = e; e = d + t1 >>> 0; d = c; c = b; b = a; a = t1 + t2 >>> 0; } s.h0 = s.h0 + a | 0; s.h1 = s.h1 + b | 0; s.h2 = s.h2 + c | 0; s.h3 = s.h3 + d | 0; s.h4 = s.h4 + e | 0; s.h5 = s.h5 + f | 0; s.h6 = s.h6 + g | 0; s.h7 = s.h7 + h | 0; len -= 64; } } } }); var require_prng = __commonJS({ "node_modules/node-forge/lib/prng.js"(exports2, module2) { var forge3 = require_forge(); require_util(); var _crypto = null; if (forge3.util.isNodejs && !forge3.options.usePureJavaScript && !process.versions["node-webkit"]) { _crypto = require("crypto"); } var prng = module2.exports = forge3.prng = forge3.prng || {}; prng.create = function(plugin) { var ctx = { plugin, key: null, seed: null, time: null, reseeds: 0, generated: 0, keyBytes: "" }; var md = plugin.md; var pools = new Array(32); for (var i = 0; i < 32; ++i) { pools[i] = md.create(); } ctx.pools = pools; ctx.pool = 0; ctx.generate = function(count, callback) { if (!callback) { return ctx.generateSync(count); } var cipher = ctx.plugin.cipher; var increment = ctx.plugin.increment; var formatKey = ctx.plugin.formatKey; var formatSeed = ctx.plugin.formatSeed; var b = forge3.util.createBuffer(); ctx.key = null; generate(); function generate(err) { if (err) { return callback(err); } if (b.length() >= count) { return callback(null, b.getBytes(count)); } if (ctx.generated > 1048575) { ctx.key = null; } if (ctx.key === null) { return forge3.util.nextTick(function() { _reseed(generate); }); } var bytes = cipher(ctx.key, ctx.seed); ctx.generated += bytes.length; b.putBytes(bytes); ctx.key = formatKey(cipher(ctx.key, increment(ctx.seed))); ctx.seed = formatSeed(cipher(ctx.key, ctx.seed)); forge3.util.setImmediate(generate); } }; ctx.generateSync = function(count) { var cipher = ctx.plugin.cipher; var increment = ctx.plugin.increment; var formatKey = ctx.plugin.formatKey; var formatSeed = ctx.plugin.formatSeed; ctx.key = null; var b = forge3.util.createBuffer(); while (b.length() < count) { if (ctx.generated > 1048575) { ctx.key = null; } if (ctx.key === null) { _reseedSync(); } var bytes = cipher(ctx.key, ctx.seed); ctx.generated += bytes.length; b.putBytes(bytes); ctx.key = formatKey(cipher(ctx.key, increment(ctx.seed))); ctx.seed = formatSeed(cipher(ctx.key, ctx.seed)); } return b.getBytes(count); }; function _reseed(callback) { if (ctx.pools[0].messageLength >= 32) { _seed(); return callback(); } var needed = 32 - ctx.pools[0].messageLength << 5; ctx.seedFile(needed, function(err, bytes) { if (err) { return callback(err); } ctx.collect(bytes); _seed(); callback(); }); } function _reseedSync() { if (ctx.pools[0].messageLength >= 32) { return _seed(); } var needed = 32 - ctx.pools[0].messageLength << 5; ctx.collect(ctx.seedFileSync(needed)); _seed(); } function _seed() { ctx.reseeds = ctx.reseeds === 4294967295 ? 0 : ctx.reseeds + 1; var md2 = ctx.plugin.md.create(); md2.update(ctx.keyBytes); var _2powK = 1; for (var k = 0; k < 32; ++k) { if (ctx.reseeds % _2powK === 0) { md2.update(ctx.pools[k].digest().getBytes()); ctx.pools[k].start(); } _2powK = _2powK << 1; } ctx.keyBytes = md2.digest().getBytes(); md2.start(); md2.update(ctx.keyBytes); var seedBytes = md2.digest().getBytes(); ctx.key = ctx.plugin.formatKey(ctx.keyBytes); ctx.seed = ctx.plugin.formatSeed(seedBytes); ctx.generated = 0; } function defaultSeedFile(needed) { var getRandomValues = null; var globalScope = forge3.util.globalScope; var _crypto2 = globalScope.crypto || globalScope.msCrypto; if (_crypto2 && _crypto2.getRandomValues) { getRandomValues = function(arr) { return _crypto2.getRandomValues(arr); }; } var b = forge3.util.createBuffer(); if (getRandomValues) { while (b.length() < needed) { var count = Math.max(1, Math.min(needed - b.length(), 65536) / 4); var entropy = new Uint32Array(Math.floor(count)); try { getRandomValues(entropy); for (var i2 = 0; i2 < entropy.length; ++i2) { b.putInt32(entropy[i2]); } } catch (e) { if (!(typeof QuotaExceededError !== "undefined" && e instanceof QuotaExceededError)) { throw e; } } } } if (b.length() < needed) { var hi, lo, next; var seed = Math.floor(Math.random() * 65536); while (b.length() < needed) { lo = 16807 * (seed & 65535); hi = 16807 * (seed >> 16); lo += (hi & 32767) << 16; lo += hi >> 15; lo = (lo & 2147483647) + (lo >> 31); seed = lo & 4294967295; for (var i2 = 0; i2 < 3; ++i2) { next = seed >>> (i2 << 3); next ^= Math.floor(Math.random() * 256); b.putByte(next & 255); } } } return b.getBytes(needed); } if (_crypto) { ctx.seedFile = function(needed, callback) { _crypto.randomBytes(needed, function(err, bytes) { if (err) { return callback(err); } callback(null, bytes.toString()); }); }; ctx.seedFileSync = function(needed) { return _crypto.randomBytes(needed).toString(); }; } else { ctx.seedFile = function(needed, callback) { try { callback(null, defaultSeedFile(needed)); } catch (e) { callback(e); } }; ctx.seedFileSync = defaultSeedFile; } ctx.collect = function(bytes) { var count = bytes.length; for (var i2 = 0; i2 < count; ++i2) { ctx.pools[ctx.pool].update(bytes.substr(i2, 1)); ctx.pool = ctx.pool === 31 ? 0 : ctx.pool + 1; } }; ctx.collectInt = function(i2, n) { var bytes = ""; for (var x = 0; x < n; x += 8) { bytes += String.fromCharCode(i2 >> x & 255); } ctx.collect(bytes); }; ctx.registerWorker = function(worker) { if (worker === self) { ctx.seedFile = function(needed, callback) { function listener2(e) { var data = e.data; if (data.forge && data.forge.prng) { self.removeEventListener("message", listener2); callback(data.forge.prng.err, data.forge.prng.bytes); } } self.addEventListener("message", listener2); self.postMessage({ forge: { prng: { needed } } }); }; } else { var listener = function(e) { var data = e.data; if (data.forge && data.forge.prng) { ctx.seedFile(data.forge.prng.needed, function(err, bytes) { worker.postMessage({ forge: { prng: { err, bytes } } }); }); } }; worker.addEventListener("message", listener); } }; return ctx; }; } }); var require_random = __commonJS({ "node_modules/node-forge/lib/random.js"(exports2, module2) { var forge3 = require_forge(); require_aes(); require_sha256(); require_prng(); require_util(); (function() { if (forge3.random && forge3.random.getBytes) { module2.exports = forge3.random; return; } (function(jQuery2) { var prng_aes = {}; var _prng_aes_output = new Array(4); var _prng_aes_buffer = forge3.util.createBuffer(); prng_aes.formatKey = function(key2) { var tmp = forge3.util.createBuffer(key2); key2 = new Array(4); key2[0] = tmp.getInt32(); key2[1] = tmp.getInt32(); key2[2] = tmp.getInt32(); key2[3] = tmp.getInt32(); return forge3.aes._expandKey(key2, false); }; prng_aes.formatSeed = function(seed) { var tmp = forge3.util.createBuffer(seed); seed = new Array(4); seed[0] = tmp.getInt32(); seed[1] = tmp.getInt32(); seed[2] = tmp.getInt32(); seed[3] = tmp.getInt32(); return seed; }; prng_aes.cipher = function(key2, seed) { forge3.aes._updateBlock(key2, seed, _prng_aes_output, false); _prng_aes_buffer.putInt32(_prng_aes_output[0]); _prng_aes_buffer.putInt32(_prng_aes_output[1]); _prng_aes_buffer.putInt32(_prng_aes_output[2]); _prng_aes_buffer.putInt32(_prng_aes_output[3]); return _prng_aes_buffer.getBytes(); }; prng_aes.increment = function(seed) { ++seed[3]; return seed; }; prng_aes.md = forge3.md.sha256; function spawnPrng() { var ctx = forge3.prng.create(prng_aes); ctx.getBytes = function(count, callback) { return ctx.generate(count, callback); }; ctx.getBytesSync = function(count) { return ctx.generate(count); }; return ctx; } var _ctx = spawnPrng(); var getRandomValues = null; var globalScope = forge3.util.globalScope; var _crypto = globalScope.crypto || globalScope.msCrypto; if (_crypto && _crypto.getRandomValues) { getRandomValues = function(arr) { return _crypto.getRandomValues(arr); }; } if (forge3.options.usePureJavaScript || !forge3.util.isNodejs && !getRandomValues) { if (typeof window === "undefined" || window.document === void 0) { } _ctx.collectInt(+new Date(), 32); if (typeof navigator !== "undefined") { var _navBytes = ""; for (var key in navigator) { try { if (typeof navigator[key] == "string") { _navBytes += navigator[key]; } } catch (e) { } } _ctx.collect(_navBytes); _navBytes = null; } if (jQuery2) { jQuery2().mousemove(function(e) { _ctx.collectInt(e.clientX, 16); _ctx.collectInt(e.clientY, 16); }); jQuery2().keypress(function(e) { _ctx.collectInt(e.charCode, 8); }); } } if (!forge3.random) { forge3.random = _ctx; } else { for (var key in _ctx) { forge3.random[key] = _ctx[key]; } } forge3.random.createInstance = spawnPrng; module2.exports = forge3.random; })(typeof jQuery !== "undefined" ? jQuery : null); })(); } }); var require_rc2 = __commonJS({ "node_modules/node-forge/lib/rc2.js"(exports2, module2) { var forge3 = require_forge(); require_util(); var piTable = [ 217, 120, 249, 196, 25, 221, 181, 237, 40, 233, 253, 121, 74, 160, 216, 157, 198, 126, 55, 131, 43, 118, 83, 142, 98, 76, 100, 136, 68, 139, 251, 162, 23, 154, 89, 245, 135, 179, 79, 19, 97, 69, 109, 141, 9, 129, 125, 50, 189, 143, 64, 235, 134, 183, 123, 11, 240, 149, 33, 34, 92, 107, 78, 130, 84, 214, 101, 147, 206, 96, 178, 28, 115, 86, 192, 20, 167, 140, 241, 220, 18, 117, 202, 31, 59, 190, 228, 209, 66, 61, 212, 48, 163, 60, 182, 38, 111, 191, 14, 218, 70, 105, 7, 87, 39, 242, 29, 155, 188, 148, 67, 3, 248, 17, 199, 246, 144, 239, 62, 231, 6, 195, 213, 47, 200, 102, 30, 215, 8, 232, 234, 222, 128, 82, 238, 247, 132, 170, 114, 172, 53, 77, 106, 42, 150, 26, 210, 113, 90, 21, 73, 116, 75, 159, 208, 94, 4, 24, 164, 236, 194, 224, 65, 110, 15, 81, 203, 204, 36, 145, 175, 80, 161, 244, 112, 57, 153, 124, 58, 133, 35, 184, 180, 122, 252, 2, 54, 91, 37, 85, 151, 49, 45, 93, 250, 152, 227, 138, 146, 174, 5, 223, 41, 16, 103, 108, 186, 201, 211, 0, 230, 207, 225, 158, 168, 44, 99, 22, 1, 63, 88, 226, 137, 169, 13, 56, 52, 27, 171, 51, 255, 176, 187, 72, 12, 95, 185, 177, 205, 46, 197, 243, 219, 71, 229, 165, 156, 119, 10, 166, 32, 104, 254, 127, 193, 173 ]; var s = [1, 2, 3, 5]; var rol = function(word, bits) { return word << bits & 65535 | (word & 65535) >> 16 - bits; }; var ror = function(word, bits) { return (word & 65535) >> bits | word << 16 - bits & 65535; }; module2.exports = forge3.rc2 = forge3.rc2 || {}; forge3.rc2.expandKey = function(key, effKeyBits) { if (typeof key === "string") { key = forge3.util.createBuffer(key); } effKeyBits = effKeyBits || 128; var L = key; var T = key.length(); var T1 = effKeyBits; var T8 = Math.ceil(T1 / 8); var TM = 255 >> (T1 & 7); var i; for (i = T; i < 128; i++) { L.putByte(piTable[L.at(i - 1) + L.at(i - T) & 255]); } L.setAt(128 - T8, piTable[L.at(128 - T8) & TM]); for (i = 127 - T8; i >= 0; i--) { L.setAt(i, piTable[L.at(i + 1) ^ L.at(i + T8)]); } return L; }; var createCipher = function(key, bits, encrypt) { var _finish = false, _input = null, _output = null, _iv = null; var mixRound, mashRound; var i, j, K = []; key = forge3.rc2.expandKey(key, bits); for (i = 0; i < 64; i++) { K.push(key.getInt16Le()); } if (encrypt) { mixRound = function(R) { for (i = 0; i < 4; i++) { R[i] += K[j] + (R[(i + 3) % 4] & R[(i + 2) % 4]) + (~R[(i + 3) % 4] & R[(i + 1) % 4]); R[i] = rol(R[i], s[i]); j++; } }; mashRound = function(R) { for (i = 0; i < 4; i++) { R[i] += K[R[(i + 3) % 4] & 63]; } }; } else { mixRound = function(R) { for (i = 3; i >= 0; i--) { R[i] = ror(R[i], s[i]); R[i] -= K[j] + (R[(i + 3) % 4] & R[(i + 2) % 4]) + (~R[(i + 3) % 4] & R[(i + 1) % 4]); j--; } }; mashRound = function(R) { for (i = 3; i >= 0; i--) { R[i] -= K[R[(i + 3) % 4] & 63]; } }; } var runPlan = function(plan) { var R = []; for (i = 0; i < 4; i++) { var val = _input.getInt16Le(); if (_iv !== null) { if (encrypt) { val ^= _iv.getInt16Le(); } else { _iv.putInt16Le(val); } } R.push(val & 65535); } j = encrypt ? 0 : 63; for (var ptr = 0; ptr < plan.length; ptr++) { for (var ctr = 0; ctr < plan[ptr][0]; ctr++) { plan[ptr][1](R); } } for (i = 0; i < 4; i++) { if (_iv !== null) { if (encrypt) { _iv.putInt16Le(R[i]); } else { R[i] ^= _iv.getInt16Le(); } } _output.putInt16Le(R[i]); } }; var cipher = null; cipher = { start: function(iv, output) { if (iv) { if (typeof iv === "string") { iv = forge3.util.createBuffer(iv); } } _finish = false; _input = forge3.util.createBuffer(); _output = output || new forge3.util.createBuffer(); _iv = iv; cipher.output = _output; }, update: function(input) { if (!_finish) { _input.putBuffer(input); } while (_input.length() >= 8) { runPlan([ [5, mixRound], [1, mashRound], [6, mixRound], [1, mashRound], [5, mixRound] ]); } }, finish: function(pad) { var rval = true; if (encrypt) { if (pad) { rval = pad(8, _input, !encrypt); } else { var padding = _input.length() === 8 ? 8 : 8 - _input.length(); _input.fillWithByte(padding, padding); } } if (rval) { _finish = true; cipher.update(); } if (!encrypt) { rval = _input.length() === 0; if (rval) { if (pad) { rval = pad(8, _output, !encrypt); } else { var len = _output.length(); var count = _output.at(len - 1); if (count > len) { rval = false; } else { _output.truncate(count); } } } } return rval; } }; return cipher; }; forge3.rc2.startEncrypting = function(key, iv, output) { var cipher = forge3.rc2.createEncryptionCipher(key, 128); cipher.start(iv, output); return cipher; }; forge3.rc2.createEncryptionCipher = function(key, bits) { return createCipher(key, bits, true); }; forge3.rc2.startDecrypting = function(key, iv, output) { var cipher = forge3.rc2.createDecryptionCipher(key, 128); cipher.start(iv, output); return cipher; }; forge3.rc2.createDecryptionCipher = function(key, bits) { return createCipher(key, bits, false); }; } }); var require_jsbn = __commonJS({ "node_modules/node-forge/lib/jsbn.js"(exports2, module2) { var forge3 = require_forge(); module2.exports = forge3.jsbn = forge3.jsbn || {}; var dbits; var canary = 244837814094590; var j_lm = (canary & 16777215) == 15715070; function BigInteger(a, b, c) { this.data = []; if (a != null) if (typeof a == "number") this.fromNumber(a, b, c); else if (b == null && typeof a != "string") this.fromString(a, 256); else this.fromString(a, b); } forge3.jsbn.BigInteger = BigInteger; function nbi() { return new BigInteger(null); } function am1(i, x, w, j, c, n) { while (--n >= 0) { var v = x * this.data[i++] + w.data[j] + c; c = Math.floor(v / 67108864); w.data[j++] = v & 67108863; } return c; } function am2(i, x, w, j, c, n) { var xl = x & 32767, xh = x >> 15; while (--n >= 0) { var l = this.data[i] & 32767; var h = this.data[i++] >> 15; var m = xh * l + h * xl; l = xl * l + ((m & 32767) << 15) + w.data[j] + (c & 1073741823); c = (l >>> 30) + (m >>> 15) + xh * h + (c >>> 30); w.data[j++] = l & 1073741823; } return c; } function am3(i, x, w, j, c, n) { var xl = x & 16383, xh = x >> 14; while (--n >= 0) { var l = this.data[i] & 16383; var h = this.data[i++] >> 14; var m = xh * l + h * xl; l = xl * l + ((m & 16383) << 14) + w.data[j] + c; c = (l >> 28) + (m >> 14) + xh * h; w.data[j++] = l & 268435455; } return c; } if (typeof navigator === "undefined") { BigInteger.prototype.am = am3; dbits = 28; } else if (j_lm && navigator.appName == "Microsoft Internet Explorer") { BigInteger.prototype.am = am2; dbits = 30; } else if (j_lm && navigator.appName != "Netscape") { BigInteger.prototype.am = am1; dbits = 26; } else { BigInteger.prototype.am = am3; dbits = 28; } BigInteger.prototype.DB = dbits; BigInteger.prototype.DM = (1 << dbits) - 1; BigInteger.prototype.DV = 1 << dbits; var BI_FP = 52; BigInteger.prototype.FV = Math.pow(2, BI_FP); BigInteger.prototype.F1 = BI_FP - dbits; BigInteger.prototype.F2 = 2 * dbits - BI_FP; var BI_RM = "0123456789abcdefghijklmnopqrstuvwxyz"; var BI_RC = new Array(); var rr; var vv; rr = "0".charCodeAt(0); for (vv = 0; vv <= 9; ++vv) BI_RC[rr++] = vv; rr = "a".charCodeAt(0); for (vv = 10; vv < 36; ++vv) BI_RC[rr++] = vv; rr = "A".charCodeAt(0); for (vv = 10; vv < 36; ++vv) BI_RC[rr++] = vv; function int2char(n) { return BI_RM.charAt(n); } function intAt(s, i) { var c = BI_RC[s.charCodeAt(i)]; return c == null ? -1 : c; } function bnpCopyTo(r) { for (var i = this.t - 1; i >= 0; --i) r.data[i] = this.data[i]; r.t = this.t; r.s = this.s; } function bnpFromInt(x) { this.t = 1; this.s = x < 0 ? -1 : 0; if (x > 0) this.data[0] = x; else if (x < -1) this.data[0] = x + this.DV; else this.t = 0; } function nbv(i) { var r = nbi(); r.fromInt(i); return r; } function bnpFromString(s, b) { var k; if (b == 16) k = 4; else if (b == 8) k = 3; else if (b == 256) k = 8; else if (b == 2) k = 1; else if (b == 32) k = 5; else if (b == 4) k = 2; else { this.fromRadix(s, b); return; } this.t = 0; this.s = 0; var i = s.length, mi = false, sh = 0; while (--i >= 0) { var x = k == 8 ? s[i] & 255 : intAt(s, i); if (x < 0) { if (s.charAt(i) == "-") mi = true; continue; } mi = false; if (sh == 0) this.data[this.t++] = x; else if (sh + k > this.DB) { this.data[this.t - 1] |= (x & (1 << this.DB - sh) - 1) << sh; this.data[this.t++] = x >> this.DB - sh; } else this.data[this.t - 1] |= x << sh; sh += k; if (sh >= this.DB) sh -= this.DB; } if (k == 8 && (s[0] & 128) != 0) { this.s = -1; if (sh > 0) this.data[this.t - 1] |= (1 << this.DB - sh) - 1 << sh; } this.clamp(); if (mi) BigInteger.ZERO.subTo(this, this); } function bnpClamp() { var c = this.s & this.DM; while (this.t > 0 && this.data[this.t - 1] == c) --this.t; } function bnToString(b) { if (this.s < 0) return "-" + this.negate().toString(b); var k; if (b == 16) k = 4; else if (b == 8) k = 3; else if (b == 2) k = 1; else if (b == 32) k = 5; else if (b == 4) k = 2; else return this.toRadix(b); var km = (1 << k) - 1, d, m = false, r = "", i = this.t; var p = this.DB - i * this.DB % k; if (i-- > 0) { if (p < this.DB && (d = this.data[i] >> p) > 0) { m = true; r = int2char(d); } while (i >= 0) { if (p < k) { d = (this.data[i] & (1 << p) - 1) << k - p; d |= this.data[--i] >> (p += this.DB - k); } else { d = this.data[i] >> (p -= k) & km; if (p <= 0) { p += this.DB; --i; } } if (d > 0) m = true; if (m) r += int2char(d); } } return m ? r : "0"; } function bnNegate() { var r = nbi(); BigInteger.ZERO.subTo(this, r); return r; } function bnAbs() { return this.s < 0 ? this.negate() : this; } function bnCompareTo(a) { var r = this.s - a.s; if (r != 0) return r; var i = this.t; r = i - a.t; if (r != 0) return this.s < 0 ? -r : r; while (--i >= 0) if ((r = this.data[i] - a.data[i]) != 0) return r; return 0; } function nbits(x) { var r = 1, t; if ((t = x >>> 16) != 0) { x = t; r += 16; } if ((t = x >> 8) != 0) { x = t; r += 8; } if ((t = x >> 4) != 0) { x = t; r += 4; } if ((t = x >> 2) != 0) { x = t; r += 2; } if ((t = x >> 1) != 0) { x = t; r += 1; } return r; } function bnBitLength() { if (this.t <= 0) return 0; return this.DB * (this.t - 1) + nbits(this.data[this.t - 1] ^ this.s & this.DM); } function bnpDLShiftTo(n, r) { var i; for (i = this.t - 1; i >= 0; --i) r.data[i + n] = this.data[i]; for (i = n - 1; i >= 0; --i) r.data[i] = 0; r.t = this.t + n; r.s = this.s; } function bnpDRShiftTo(n, r) { for (var i = n; i < this.t; ++i) r.data[i - n] = this.data[i]; r.t = Math.max(this.t - n, 0); r.s = this.s; } function bnpLShiftTo(n, r) { var bs = n % this.DB; var cbs = this.DB - bs; var bm = (1 << cbs) - 1; var ds = Math.floor(n / this.DB), c = this.s << bs & this.DM, i; for (i = this.t - 1; i >= 0; --i) { r.data[i + ds + 1] = this.data[i] >> cbs | c; c = (this.data[i] & bm) << bs; } for (i = ds - 1; i >= 0; --i) r.data[i] = 0; r.data[ds] = c; r.t = this.t + ds + 1; r.s = this.s; r.clamp(); } function bnpRShiftTo(n, r) { r.s = this.s; var ds = Math.floor(n / this.DB); if (ds >= this.t) { r.t = 0; return; } var bs = n % this.DB; var cbs = this.DB - bs; var bm = (1 << bs) - 1; r.data[0] = this.data[ds] >> bs; for (var i = ds + 1; i < this.t; ++i) { r.data[i - ds - 1] |= (this.data[i] & bm) << cbs; r.data[i - ds] = this.data[i] >> bs; } if (bs > 0) r.data[this.t - ds - 1] |= (this.s & bm) << cbs; r.t = this.t - ds; r.clamp(); } function bnpSubTo(a, r) { var i = 0, c = 0, m = Math.min(a.t, this.t); while (i < m) { c += this.data[i] - a.data[i]; r.data[i++] = c & this.DM; c >>= this.DB; } if (a.t < this.t) { c -= a.s; while (i < this.t) { c += this.data[i]; r.data[i++] = c & this.DM; c >>= this.DB; } c += this.s; } else { c += this.s; while (i < a.t) { c -= a.data[i]; r.data[i++] = c & this.DM; c >>= this.DB; } c -= a.s; } r.s = c < 0 ? -1 : 0; if (c < -1) r.data[i++] = this.DV + c; else if (c > 0) r.data[i++] = c; r.t = i; r.clamp(); } function bnpMultiplyTo(a, r) { var x = this.abs(), y = a.abs(); var i = x.t; r.t = i + y.t; while (--i >= 0) r.data[i] = 0; for (i = 0; i < y.t; ++i) r.data[i + x.t] = x.am(0, y.data[i], r, i, 0, x.t); r.s = 0; r.clamp(); if (this.s != a.s) BigInteger.ZERO.subTo(r, r); } function bnpSquareTo(r) { var x = this.abs(); var i = r.t = 2 * x.t; while (--i >= 0) r.data[i] = 0; for (i = 0; i < x.t - 1; ++i) { var c = x.am(i, x.data[i], r, 2 * i, 0, 1); if ((r.data[i + x.t] += x.am(i + 1, 2 * x.data[i], r, 2 * i + 1, c, x.t - i - 1)) >= x.DV) { r.data[i + x.t] -= x.DV; r.data[i + x.t + 1] = 1; } } if (r.t > 0) r.data[r.t - 1] += x.am(i, x.data[i], r, 2 * i, 0, 1); r.s = 0; r.clamp(); } function bnpDivRemTo(m, q, r) { var pm = m.abs(); if (pm.t <= 0) return; var pt = this.abs(); if (pt.t < pm.t) { if (q != null) q.fromInt(0); if (r != null) this.copyTo(r); return; } if (r == null) r = nbi(); var y = nbi(), ts = this.s, ms = m.s; var nsh = this.DB - nbits(pm.data[pm.t - 1]); if (nsh > 0) { pm.lShiftTo(nsh, y); pt.lShiftTo(nsh, r); } else { pm.copyTo(y); pt.copyTo(r); } var ys = y.t; var y0 = y.data[ys - 1]; if (y0 == 0) return; var yt = y0 * (1 << this.F1) + (ys > 1 ? y.data[ys - 2] >> this.F2 : 0); var d1 = this.FV / yt, d2 = (1 << this.F1) / yt, e = 1 << this.F2; var i = r.t, j = i - ys, t = q == null ? nbi() : q; y.dlShiftTo(j, t); if (r.compareTo(t) >= 0) { r.data[r.t++] = 1; r.subTo(t, r); } BigInteger.ONE.dlShiftTo(ys, t); t.subTo(y, y); while (y.t < ys) y.data[y.t++] = 0; while (--j >= 0) { var qd = r.data[--i] == y0 ? this.DM : Math.floor(r.data[i] * d1 + (r.data[i - 1] + e) * d2); if ((r.data[i] += y.am(0, qd, r, j, 0, ys)) < qd) { y.dlShiftTo(j, t); r.subTo(t, r); while (r.data[i] < --qd) r.subTo(t, r); } } if (q != null) { r.drShiftTo(ys, q); if (ts != ms) BigInteger.ZERO.subTo(q, q); } r.t = ys; r.clamp(); if (nsh > 0) r.rShiftTo(nsh, r); if (ts < 0) BigInteger.ZERO.subTo(r, r); } function bnMod(a) { var r = nbi(); this.abs().divRemTo(a, null, r); if (this.s < 0 && r.compareTo(BigInteger.ZERO) > 0) a.subTo(r, r); return r; } function Classic(m) { this.m = m; } function cConvert(x) { if (x.s < 0 || x.compareTo(this.m) >= 0) return x.mod(this.m); else return x; } function cRevert(x) { return x; } function cReduce(x) { x.divRemTo(this.m, null, x); } function cMulTo(x, y, r) { x.multiplyTo(y, r); this.reduce(r); } function cSqrTo(x, r) { x.squareTo(r); this.reduce(r); } Classic.prototype.convert = cConvert; Classic.prototype.revert = cRevert; Classic.prototype.reduce = cReduce; Classic.prototype.mulTo = cMulTo; Classic.prototype.sqrTo = cSqrTo; function bnpInvDigit() { if (this.t < 1) return 0; var x = this.data[0]; if ((x & 1) == 0) return 0; var y = x & 3; y = y * (2 - (x & 15) * y) & 15; y = y * (2 - (x & 255) * y) & 255; y = y * (2 - ((x & 65535) * y & 65535)) & 65535; y = y * (2 - x * y % this.DV) % this.DV; return y > 0 ? this.DV - y : -y; } function Montgomery(m) { this.m = m; this.mp = m.invDigit(); this.mpl = this.mp & 32767; this.mph = this.mp >> 15; this.um = (1 << m.DB - 15) - 1; this.mt2 = 2 * m.t; } function montConvert(x) { var r = nbi(); x.abs().dlShiftTo(this.m.t, r); r.divRemTo(this.m, null, r); if (x.s < 0 && r.compareTo(BigInteger.ZERO) > 0) this.m.subTo(r, r); return r; } function montRevert(x) { var r = nbi(); x.copyTo(r); this.reduce(r); return r; } function montReduce(x) { while (x.t <= this.mt2) x.data[x.t++] = 0; for (var i = 0; i < this.m.t; ++i) { var j = x.data[i] & 32767; var u0 = j * this.mpl + ((j * this.mph + (x.data[i] >> 15) * this.mpl & this.um) << 15) & x.DM; j = i + this.m.t; x.data[j] += this.m.am(0, u0, x, i, 0, this.m.t); while (x.data[j] >= x.DV) { x.data[j] -= x.DV; x.data[++j]++; } } x.clamp(); x.drShiftTo(this.m.t, x); if (x.compareTo(this.m) >= 0) x.subTo(this.m, x); } function montSqrTo(x, r) { x.squareTo(r); this.reduce(r); } function montMulTo(x, y, r) { x.multiplyTo(y, r); this.reduce(r); } Montgomery.prototype.convert = montConvert; Montgomery.prototype.revert = montRevert; Montgomery.prototype.reduce = montReduce; Montgomery.prototype.mulTo = montMulTo; Montgomery.prototype.sqrTo = montSqrTo; function bnpIsEven() { return (this.t > 0 ? this.data[0] & 1 : this.s) == 0; } function bnpExp(e, z) { if (e > 4294967295 || e < 1) return BigInteger.ONE; var r = nbi(), r2 = nbi(), g = z.convert(this), i = nbits(e) - 1; g.copyTo(r); while (--i >= 0) { z.sqrTo(r, r2); if ((e & 1 << i) > 0) z.mulTo(r2, g, r); else { var t = r; r = r2; r2 = t; } } return z.revert(r); } function bnModPowInt(e, m) { var z; if (e < 256 || m.isEven()) z = new Classic(m); else z = new Montgomery(m); return this.exp(e, z); } BigInteger.prototype.copyTo = bnpCopyTo; BigInteger.prototype.fromInt = bnpFromInt; BigInteger.prototype.fromString = bnpFromString; BigInteger.prototype.clamp = bnpClamp; BigInteger.prototype.dlShiftTo = bnpDLShiftTo; BigInteger.prototype.drShiftTo = bnpDRShiftTo; BigInteger.prototype.lShiftTo = bnpLShiftTo; BigInteger.prototype.rShiftTo = bnpRShiftTo; BigInteger.prototype.subTo = bnpSubTo; BigInteger.prototype.multiplyTo = bnpMultiplyTo; BigInteger.prototype.squareTo = bnpSquareTo; BigInteger.prototype.divRemTo = bnpDivRemTo; BigInteger.prototype.invDigit = bnpInvDigit; BigInteger.prototype.isEven = bnpIsEven; BigInteger.prototype.exp = bnpExp; BigInteger.prototype.toString = bnToString; BigInteger.prototype.negate = bnNegate; BigInteger.prototype.abs = bnAbs; BigInteger.prototype.compareTo = bnCompareTo; BigInteger.prototype.bitLength = bnBitLength; BigInteger.prototype.mod = bnMod; BigInteger.prototype.modPowInt = bnModPowInt; BigInteger.ZERO = nbv(0); BigInteger.ONE = nbv(1); function bnClone() { var r = nbi(); this.copyTo(r); return r; } function bnIntValue() { if (this.s < 0) { if (this.t == 1) return this.data[0] - this.DV; else if (this.t == 0) return -1; } else if (this.t == 1) return this.data[0]; else if (this.t == 0) return 0; return (this.data[1] & (1 << 32 - this.DB) - 1) << this.DB | this.data[0]; } function bnByteValue() { return this.t == 0 ? this.s : this.data[0] << 24 >> 24; } function bnShortValue() { return this.t == 0 ? this.s : this.data[0] << 16 >> 16; } function bnpChunkSize(r) { return Math.floor(Math.LN2 * this.DB / Math.log(r)); } function bnSigNum() { if (this.s < 0) return -1; else if (this.t <= 0 || this.t == 1 && this.data[0] <= 0) return 0; else return 1; } function bnpToRadix(b) { if (b == null) b = 10; if (this.signum() == 0 || b < 2 || b > 36) return "0"; var cs = this.chunkSize(b); var a = Math.pow(b, cs); var d = nbv(a), y = nbi(), z = nbi(), r = ""; this.divRemTo(d, y, z); while (y.signum() > 0) { r = (a + z.intValue()).toString(b).substr(1) + r; y.divRemTo(d, y, z); } return z.intValue().toString(b) + r; } function bnpFromRadix(s, b) { this.fromInt(0); if (b == null) b = 10; var cs = this.chunkSize(b); var d = Math.pow(b, cs), mi = false, j = 0, w = 0; for (var i = 0; i < s.length; ++i) { var x = intAt(s, i); if (x < 0) { if (s.charAt(i) == "-" && this.signum() == 0) mi = true; continue; } w = b * w + x; if (++j >= cs) { this.dMultiply(d); this.dAddOffset(w, 0); j = 0; w = 0; } } if (j > 0) { this.dMultiply(Math.pow(b, j)); this.dAddOffset(w, 0); } if (mi) BigInteger.ZERO.subTo(this, this); } function bnpFromNumber(a, b, c) { if (typeof b == "number") { if (a < 2) this.fromInt(1); else { this.fromNumber(a, c); if (!this.testBit(a - 1)) this.bitwiseTo(BigInteger.ONE.shiftLeft(a - 1), op_or, this); if (this.isEven()) this.dAddOffset(1, 0); while (!this.isProbablePrime(b)) { this.dAddOffset(2, 0); if (this.bitLength() > a) this.subTo(BigInteger.ONE.shiftLeft(a - 1), this); } } } else { var x = new Array(), t = a & 7; x.length = (a >> 3) + 1; b.nextBytes(x); if (t > 0) x[0] &= (1 << t) - 1; else x[0] = 0; this.fromString(x, 256); } } function bnToByteArray() { var i = this.t, r = new Array(); r[0] = this.s; var p = this.DB - i * this.DB % 8, d, k = 0; if (i-- > 0) { if (p < this.DB && (d = this.data[i] >> p) != (this.s & this.DM) >> p) r[k++] = d | this.s << this.DB - p; while (i >= 0) { if (p < 8) { d = (this.data[i] & (1 << p) - 1) << 8 - p; d |= this.data[--i] >> (p += this.DB - 8); } else { d = this.data[i] >> (p -= 8) & 255; if (p <= 0) { p += this.DB; --i; } } if ((d & 128) != 0) d |= -256; if (k == 0 && (this.s & 128) != (d & 128)) ++k; if (k > 0 || d != this.s) r[k++] = d; } } return r; } function bnEquals(a) { return this.compareTo(a) == 0; } function bnMin(a) { return this.compareTo(a) < 0 ? this : a; } function bnMax(a) { return this.compareTo(a) > 0 ? this : a; } function bnpBitwiseTo(a, op, r) { var i, f, m = Math.min(a.t, this.t); for (i = 0; i < m; ++i) r.data[i] = op(this.data[i], a.data[i]); if (a.t < this.t) { f = a.s & this.DM; for (i = m; i < this.t; ++i) r.data[i] = op(this.data[i], f); r.t = this.t; } else { f = this.s & this.DM; for (i = m; i < a.t; ++i) r.data[i] = op(f, a.data[i]); r.t = a.t; } r.s = op(this.s, a.s); r.clamp(); } function op_and(x, y) { return x & y; } function bnAnd(a) { var r = nbi(); this.bitwiseTo(a, op_and, r); return r; } function op_or(x, y) { return x | y; } function bnOr(a) { var r = nbi(); this.bitwiseTo(a, op_or, r); return r; } function op_xor(x, y) { return x ^ y; } function bnXor(a) { var r = nbi(); this.bitwiseTo(a, op_xor, r); return r; } function op_andnot(x, y) { return x & ~y; } function bnAndNot(a) { var r = nbi(); this.bitwiseTo(a, op_andnot, r); return r; } function bnNot() { var r = nbi(); for (var i = 0; i < this.t; ++i) r.data[i] = this.DM & ~this.data[i]; r.t = this.t; r.s = ~this.s; return r; } function bnShiftLeft(n) { var r = nbi(); if (n < 0) this.rShiftTo(-n, r); else this.lShiftTo(n, r); return r; } function bnShiftRight(n) { var r = nbi(); if (n < 0) this.lShiftTo(-n, r); else this.rShiftTo(n, r); return r; } function lbit(x) { if (x == 0) return -1; var r = 0; if ((x & 65535) == 0) { x >>= 16; r += 16; } if ((x & 255) == 0) { x >>= 8; r += 8; } if ((x & 15) == 0) { x >>= 4; r += 4; } if ((x & 3) == 0) { x >>= 2; r += 2; } if ((x & 1) == 0) ++r; return r; } function bnGetLowestSetBit() { for (var i = 0; i < this.t; ++i) if (this.data[i] != 0) return i * this.DB + lbit(this.data[i]); if (this.s < 0) return this.t * this.DB; return -1; } function cbit(x) { var r = 0; while (x != 0) { x &= x - 1; ++r; } return r; } function bnBitCount() { var r = 0, x = this.s & this.DM; for (var i = 0; i < this.t; ++i) r += cbit(this.data[i] ^ x); return r; } function bnTestBit(n) { var j = Math.floor(n / this.DB); if (j >= this.t) return this.s != 0; return (this.data[j] & 1 << n % this.DB) != 0; } function bnpChangeBit(n, op) { var r = BigInteger.ONE.shiftLeft(n); this.bitwiseTo(r, op, r); return r; } function bnSetBit(n) { return this.changeBit(n, op_or); } function bnClearBit(n) { return this.changeBit(n, op_andnot); } function bnFlipBit(n) { return this.changeBit(n, op_xor); } function bnpAddTo(a, r) { var i = 0, c = 0, m = Math.min(a.t, this.t); while (i < m) { c += this.data[i] + a.data[i]; r.data[i++] = c & this.DM; c >>= this.DB; } if (a.t < this.t) { c += a.s; while (i < this.t) { c += this.data[i]; r.data[i++] = c & this.DM; c >>= this.DB; } c += this.s; } else { c += this.s; while (i < a.t) { c += a.data[i]; r.data[i++] = c & this.DM; c >>= this.DB; } c += a.s; } r.s = c < 0 ? -1 : 0; if (c > 0) r.data[i++] = c; else if (c < -1) r.data[i++] = this.DV + c; r.t = i; r.clamp(); } function bnAdd(a) { var r = nbi(); this.addTo(a, r); return r; } function bnSubtract(a) { var r = nbi(); this.subTo(a, r); return r; } function bnMultiply(a) { var r = nbi(); this.multiplyTo(a, r); return r; } function bnDivide(a) { var r = nbi(); this.divRemTo(a, r, null); return r; } function bnRemainder(a) { var r = nbi(); this.divRemTo(a, null, r); return r; } function bnDivideAndRemainder(a) { var q = nbi(), r = nbi(); this.divRemTo(a, q, r); return new Array(q, r); } function bnpDMultiply(n) { this.data[this.t] = this.am(0, n - 1, this, 0, 0, this.t); ++this.t; this.clamp(); } function bnpDAddOffset(n, w) { if (n == 0) return; while (this.t <= w) this.data[this.t++] = 0; this.data[w] += n; while (this.data[w] >= this.DV) { this.data[w] -= this.DV; if (++w >= this.t) this.data[this.t++] = 0; ++this.data[w]; } } function NullExp() { } function nNop(x) { return x; } function nMulTo(x, y, r) { x.multiplyTo(y, r); } function nSqrTo(x, r) { x.squareTo(r); } NullExp.prototype.convert = nNop; NullExp.prototype.revert = nNop; NullExp.prototype.mulTo = nMulTo; NullExp.prototype.sqrTo = nSqrTo; function bnPow(e) { return this.exp(e, new NullExp()); } function bnpMultiplyLowerTo(a, n, r) { var i = Math.min(this.t + a.t, n); r.s = 0; r.t = i; while (i > 0) r.data[--i] = 0; var j; for (j = r.t - this.t; i < j; ++i) r.data[i + this.t] = this.am(0, a.data[i], r, i, 0, this.t); for (j = Math.min(a.t, n); i < j; ++i) this.am(0, a.data[i], r, i, 0, n - i); r.clamp(); } function bnpMultiplyUpperTo(a, n, r) { --n; var i = r.t = this.t + a.t - n; r.s = 0; while (--i >= 0) r.data[i] = 0; for (i = Math.max(n - this.t, 0); i < a.t; ++i) r.data[this.t + i - n] = this.am(n - i, a.data[i], r, 0, 0, this.t + i - n); r.clamp(); r.drShiftTo(1, r); } function Barrett(m) { this.r2 = nbi(); this.q3 = nbi(); BigInteger.ONE.dlShiftTo(2 * m.t, this.r2); this.mu = this.r2.divide(m); this.m = m; } function barrettConvert(x) { if (x.s < 0 || x.t > 2 * this.m.t) return x.mod(this.m); else if (x.compareTo(this.m) < 0) return x; else { var r = nbi(); x.copyTo(r); this.reduce(r); return r; } } function barrettRevert(x) { return x; } function barrettReduce(x) { x.drShiftTo(this.m.t - 1, this.r2); if (x.t > this.m.t + 1) { x.t = this.m.t + 1; x.clamp(); } this.mu.multiplyUpperTo(this.r2, this.m.t + 1, this.q3); this.m.multiplyLowerTo(this.q3, this.m.t + 1, this.r2); while (x.compareTo(this.r2) < 0) x.dAddOffset(1, this.m.t + 1); x.subTo(this.r2, x); while (x.compareTo(this.m) >= 0) x.subTo(this.m, x); } function barrettSqrTo(x, r) { x.squareTo(r); this.reduce(r); } function barrettMulTo(x, y, r) { x.multiplyTo(y, r); this.reduce(r); } Barrett.prototype.convert = barrettConvert; Barrett.prototype.revert = barrettRevert; Barrett.prototype.reduce = barrettReduce; Barrett.prototype.mulTo = barrettMulTo; Barrett.prototype.sqrTo = barrettSqrTo; function bnModPow(e, m) { var i = e.bitLength(), k, r = nbv(1), z; if (i <= 0) return r; else if (i < 18) k = 1; else if (i < 48) k = 3; else if (i < 144) k = 4; else if (i < 768) k = 5; else k = 6; if (i < 8) z = new Classic(m); else if (m.isEven()) z = new Barrett(m); else z = new Montgomery(m); var g = new Array(), n = 3, k1 = k - 1, km = (1 << k) - 1; g[1] = z.convert(this); if (k > 1) { var g2 = nbi(); z.sqrTo(g[1], g2); while (n <= km) { g[n] = nbi(); z.mulTo(g2, g[n - 2], g[n]); n += 2; } } var j = e.t - 1, w, is1 = true, r2 = nbi(), t; i = nbits(e.data[j]) - 1; while (j >= 0) { if (i >= k1) w = e.data[j] >> i - k1 & km; else { w = (e.data[j] & (1 << i + 1) - 1) << k1 - i; if (j > 0) w |= e.data[j - 1] >> this.DB + i - k1; } n = k; while ((w & 1) == 0) { w >>= 1; --n; } if ((i -= n) < 0) { i += this.DB; --j; } if (is1) { g[w].copyTo(r); is1 = false; } else { while (n > 1) { z.sqrTo(r, r2); z.sqrTo(r2, r); n -= 2; } if (n > 0) z.sqrTo(r, r2); else { t = r; r = r2; r2 = t; } z.mulTo(r2, g[w], r); } while (j >= 0 && (e.data[j] & 1 << i) == 0) { z.sqrTo(r, r2); t = r; r = r2; r2 = t; if (--i < 0) { i = this.DB - 1; --j; } } } return z.revert(r); } function bnGCD(a) { var x = this.s < 0 ? this.negate() : this.clone(); var y = a.s < 0 ? a.negate() : a.clone(); if (x.compareTo(y) < 0) { var t = x; x = y; y = t; } var i = x.getLowestSetBit(), g = y.getLowestSetBit(); if (g < 0) return x; if (i < g) g = i; if (g > 0) { x.rShiftTo(g, x); y.rShiftTo(g, y); } while (x.signum() > 0) { if ((i = x.getLowestSetBit()) > 0) x.rShiftTo(i, x); if ((i = y.getLowestSetBit()) > 0) y.rShiftTo(i, y); if (x.compareTo(y) >= 0) { x.subTo(y, x); x.rShiftTo(1, x); } else { y.subTo(x, y); y.rShiftTo(1, y); } } if (g > 0) y.lShiftTo(g, y); return y; } function bnpModInt(n) { if (n <= 0) return 0; var d = this.DV % n, r = this.s < 0 ? n - 1 : 0; if (this.t > 0) if (d == 0) r = this.data[0] % n; else for (var i = this.t - 1; i >= 0; --i) r = (d * r + this.data[i]) % n; return r; } function bnModInverse(m) { var ac = m.isEven(); if (this.isEven() && ac || m.signum() == 0) return BigInteger.ZERO; var u = m.clone(), v = this.clone(); var a = nbv(1), b = nbv(0), c = nbv(0), d = nbv(1); while (u.signum() != 0) { while (u.isEven()) { u.rShiftTo(1, u); if (ac) { if (!a.isEven() || !b.isEven()) { a.addTo(this, a); b.subTo(m, b); } a.rShiftTo(1, a); } else if (!b.isEven()) b.subTo(m, b); b.rShiftTo(1, b); } while (v.isEven()) { v.rShiftTo(1, v); if (ac) { if (!c.isEven() || !d.isEven()) { c.addTo(this, c); d.subTo(m, d); } c.rShiftTo(1, c); } else if (!d.isEven()) d.subTo(m, d); d.rShiftTo(1, d); } if (u.compareTo(v) >= 0) { u.subTo(v, u); if (ac) a.subTo(c, a); b.subTo(d, b); } else { v.subTo(u, v); if (ac) c.subTo(a, c); d.subTo(b, d); } } if (v.compareTo(BigInteger.ONE) != 0) return BigInteger.ZERO; if (d.compareTo(m) >= 0) return d.subtract(m); if (d.signum() < 0) d.addTo(m, d); else return d; if (d.signum() < 0) return d.add(m); else return d; } var lowprimes = [2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41, 43, 47, 53, 59, 61, 67, 71, 73, 79, 83, 89, 97, 101, 103, 107, 109, 113, 127, 131, 137, 139, 149, 151, 157, 163, 167, 173, 179, 181, 191, 193, 197, 199, 211, 223, 227, 229, 233, 239, 241, 251, 257, 263, 269, 271, 277, 281, 283, 293, 307, 311, 313, 317, 331, 337, 347, 349, 353, 359, 367, 373, 379, 383, 389, 397, 401, 409, 419, 421, 431, 433, 439, 443, 449, 457, 461, 463, 467, 479, 487, 491, 499, 503, 509]; var lplim = (1 << 26) / lowprimes[lowprimes.length - 1]; function bnIsProbablePrime(t) { var i, x = this.abs(); if (x.t == 1 && x.data[0] <= lowprimes[lowprimes.length - 1]) { for (i = 0; i < lowprimes.length; ++i) if (x.data[0] == lowprimes[i]) return true; return false; } if (x.isEven()) return false; i = 1; while (i < lowprimes.length) { var m = lowprimes[i], j = i + 1; while (j < lowprimes.length && m < lplim) m *= lowprimes[j++]; m = x.modInt(m); while (i < j) if (m % lowprimes[i++] == 0) return false; } return x.millerRabin(t); } function bnpMillerRabin(t) { var n1 = this.subtract(BigInteger.ONE); var k = n1.getLowestSetBit(); if (k <= 0) return false; var r = n1.shiftRight(k); var prng = bnGetPrng(); var a; for (var i = 0; i < t; ++i) { do { a = new BigInteger(this.bitLength(), prng); } while (a.compareTo(BigInteger.ONE) <= 0 || a.compareTo(n1) >= 0); var y = a.modPow(r, this); if (y.compareTo(BigInteger.ONE) != 0 && y.compareTo(n1) != 0) { var j = 1; while (j++ < k && y.compareTo(n1) != 0) { y = y.modPowInt(2, this); if (y.compareTo(BigInteger.ONE) == 0) return false; } if (y.compareTo(n1) != 0) return false; } } return true; } function bnGetPrng() { return { nextBytes: function(x) { for (var i = 0; i < x.length; ++i) { x[i] = Math.floor(Math.random() * 256); } } }; } BigInteger.prototype.chunkSize = bnpChunkSize; BigInteger.prototype.toRadix = bnpToRadix; BigInteger.prototype.fromRadix = bnpFromRadix; BigInteger.prototype.fromNumber = bnpFromNumber; BigInteger.prototype.bitwiseTo = bnpBitwiseTo; BigInteger.prototype.changeBit = bnpChangeBit; BigInteger.prototype.addTo = bnpAddTo; BigInteger.prototype.dMultiply = bnpDMultiply; BigInteger.prototype.dAddOffset = bnpDAddOffset; BigInteger.prototype.multiplyLowerTo = bnpMultiplyLowerTo; BigInteger.prototype.multiplyUpperTo = bnpMultiplyUpperTo; BigInteger.prototype.modInt = bnpModInt; BigInteger.prototype.millerRabin = bnpMillerRabin; BigInteger.prototype.clone = bnClone; BigInteger.prototype.intValue = bnIntValue; BigInteger.prototype.byteValue = bnByteValue; BigInteger.prototype.shortValue = bnShortValue; BigInteger.prototype.signum = bnSigNum; BigInteger.prototype.toByteArray = bnToByteArray; BigInteger.prototype.equals = bnEquals; BigInteger.prototype.min = bnMin; BigInteger.prototype.max = bnMax; BigInteger.prototype.and = bnAnd; BigInteger.prototype.or = bnOr; BigInteger.prototype.xor = bnXor; BigInteger.prototype.andNot = bnAndNot; BigInteger.prototype.not = bnNot; BigInteger.prototype.shiftLeft = bnShiftLeft; BigInteger.prototype.shiftRight = bnShiftRight; BigInteger.prototype.getLowestSetBit = bnGetLowestSetBit; BigInteger.prototype.bitCount = bnBitCount; BigInteger.prototype.testBit = bnTestBit; BigInteger.prototype.setBit = bnSetBit; BigInteger.prototype.clearBit = bnClearBit; BigInteger.prototype.flipBit = bnFlipBit; BigInteger.prototype.add = bnAdd; BigInteger.prototype.subtract = bnSubtract; BigInteger.prototype.multiply = bnMultiply; BigInteger.prototype.divide = bnDivide; BigInteger.prototype.remainder = bnRemainder; BigInteger.prototype.divideAndRemainder = bnDivideAndRemainder; BigInteger.prototype.modPow = bnModPow; BigInteger.prototype.modInverse = bnModInverse; BigInteger.prototype.pow = bnPow; BigInteger.prototype.gcd = bnGCD; BigInteger.prototype.isProbablePrime = bnIsProbablePrime; } }); var require_sha1 = __commonJS({ "node_modules/node-forge/lib/sha1.js"(exports2, module2) { var forge3 = require_forge(); require_md(); require_util(); var sha1 = module2.exports = forge3.sha1 = forge3.sha1 || {}; forge3.md.sha1 = forge3.md.algorithms.sha1 = sha1; sha1.create = function() { if (!_initialized) { _init(); } var _state = null; var _input = forge3.util.createBuffer(); var _w = new Array(80); var md = { algorithm: "sha1", blockLength: 64, digestLength: 20, messageLength: 0, fullMessageLength: null, messageLengthSize: 8 }; md.start = function() { md.messageLength = 0; md.fullMessageLength = md.messageLength64 = []; var int32s = md.messageLengthSize / 4; for (var i = 0; i < int32s; ++i) { md.fullMessageLength.push(0); } _input = forge3.util.createBuffer(); _state = { h0: 1732584193, h1: 4023233417, h2: 2562383102, h3: 271733878, h4: 3285377520 }; return md; }; md.start(); md.update = function(msg, encoding) { if (encoding === "utf8") { msg = forge3.util.encodeUtf8(msg); } var len = msg.length; md.messageLength += len; len = [len / 4294967296 >>> 0, len >>> 0]; for (var i = md.fullMessageLength.length - 1; i >= 0; --i) { md.fullMessageLength[i] += len[1]; len[1] = len[0] + (md.fullMessageLength[i] / 4294967296 >>> 0); md.fullMessageLength[i] = md.fullMessageLength[i] >>> 0; len[0] = len[1] / 4294967296 >>> 0; } _input.putBytes(msg); _update(_state, _w, _input); if (_input.read > 2048 || _input.length() === 0) { _input.compact(); } return md; }; md.digest = function() { var finalBlock = forge3.util.createBuffer(); finalBlock.putBytes(_input.bytes()); var remaining = md.fullMessageLength[md.fullMessageLength.length - 1] + md.messageLengthSize; var overflow = remaining & md.blockLength - 1; finalBlock.putBytes(_padding.substr(0, md.blockLength - overflow)); var next, carry; var bits = md.fullMessageLength[0] * 8; for (var i = 0; i < md.fullMessageLength.length - 1; ++i) { next = md.fullMessageLength[i + 1] * 8; carry = next / 4294967296 >>> 0; bits += carry; finalBlock.putInt32(bits >>> 0); bits = next >>> 0; } finalBlock.putInt32(bits); var s2 = { h0: _state.h0, h1: _state.h1, h2: _state.h2, h3: _state.h3, h4: _state.h4 }; _update(s2, _w, finalBlock); var rval = forge3.util.createBuffer(); rval.putInt32(s2.h0); rval.putInt32(s2.h1); rval.putInt32(s2.h2); rval.putInt32(s2.h3); rval.putInt32(s2.h4); return rval; }; return md; }; var _padding = null; var _initialized = false; function _init() { _padding = String.fromCharCode(128); _padding += forge3.util.fillString(String.fromCharCode(0), 64); _initialized = true; } function _update(s, w, bytes) { var t, a, b, c, d, e, f, i; var len = bytes.length(); while (len >= 64) { a = s.h0; b = s.h1; c = s.h2; d = s.h3; e = s.h4; for (i = 0; i < 16; ++i) { t = bytes.getInt32(); w[i] = t; f = d ^ b & (c ^ d); t = (a << 5 | a >>> 27) + f + e + 1518500249 + t; e = d; d = c; c = (b << 30 | b >>> 2) >>> 0; b = a; a = t; } for (; i < 20; ++i) { t = w[i - 3] ^ w[i - 8] ^ w[i - 14] ^ w[i - 16]; t = t << 1 | t >>> 31; w[i] = t; f = d ^ b & (c ^ d); t = (a << 5 | a >>> 27) + f + e + 1518500249 + t; e = d; d = c; c = (b << 30 | b >>> 2) >>> 0; b = a; a = t; } for (; i < 32; ++i) { t = w[i - 3] ^ w[i - 8] ^ w[i - 14] ^ w[i - 16]; t = t << 1 | t >>> 31; w[i] = t; f = b ^ c ^ d; t = (a << 5 | a >>> 27) + f + e + 1859775393 + t; e = d; d = c; c = (b << 30 | b >>> 2) >>> 0; b = a; a = t; } for (; i < 40; ++i) { t = w[i - 6] ^ w[i - 16] ^ w[i - 28] ^ w[i - 32]; t = t << 2 | t >>> 30; w[i] = t; f = b ^ c ^ d; t = (a << 5 | a >>> 27) + f + e + 1859775393 + t; e = d; d = c; c = (b << 30 | b >>> 2) >>> 0; b = a; a = t; } for (; i < 60; ++i) { t = w[i - 6] ^ w[i - 16] ^ w[i - 28] ^ w[i - 32]; t = t << 2 | t >>> 30; w[i] = t; f = b & c | d & (b ^ c); t = (a << 5 | a >>> 27) + f + e + 2400959708 + t; e = d; d = c; c = (b << 30 | b >>> 2) >>> 0; b = a; a = t; } for (; i < 80; ++i) { t = w[i - 6] ^ w[i - 16] ^ w[i - 28] ^ w[i - 32]; t = t << 2 | t >>> 30; w[i] = t; f = b ^ c ^ d; t = (a << 5 | a >>> 27) + f + e + 3395469782 + t; e = d; d = c; c = (b << 30 | b >>> 2) >>> 0; b = a; a = t; } s.h0 = s.h0 + a | 0; s.h1 = s.h1 + b | 0; s.h2 = s.h2 + c | 0; s.h3 = s.h3 + d | 0; s.h4 = s.h4 + e | 0; len -= 64; } } } }); var require_pkcs1 = __commonJS({ "node_modules/node-forge/lib/pkcs1.js"(exports2, module2) { var forge3 = require_forge(); require_util(); require_random(); require_sha1(); var pkcs1 = module2.exports = forge3.pkcs1 = forge3.pkcs1 || {}; pkcs1.encode_rsa_oaep = function(key, message2, options) { var label; var seed; var md; var mgf1Md; if (typeof options === "string") { label = options; seed = arguments[3] || void 0; md = arguments[4] || void 0; } else if (options) { label = options.label || void 0; seed = options.seed || void 0; md = options.md || void 0; if (options.mgf1 && options.mgf1.md) { mgf1Md = options.mgf1.md; } } if (!md) { md = forge3.md.sha1.create(); } else { md.start(); } if (!mgf1Md) { mgf1Md = md; } var keyLength = Math.ceil(key.n.bitLength() / 8); var maxLength = keyLength - 2 * md.digestLength - 2; if (message2.length > maxLength) { var error = new Error("RSAES-OAEP input message length is too long."); error.length = message2.length; error.maxLength = maxLength; throw error; } if (!label) { label = ""; } md.update(label, "raw"); var lHash = md.digest(); var PS = ""; var PS_length = maxLength - message2.length; for (var i = 0; i < PS_length; i++) { PS += "\0"; } var DB = lHash.getBytes() + PS + "" + message2; if (!seed) { seed = forge3.random.getBytes(md.digestLength); } else if (seed.length !== md.digestLength) { var error = new Error("Invalid RSAES-OAEP seed. The seed length must match the digest length."); error.seedLength = seed.length; error.digestLength = md.digestLength; throw error; } var dbMask = rsa_mgf1(seed, keyLength - md.digestLength - 1, mgf1Md); var maskedDB = forge3.util.xorBytes(DB, dbMask, DB.length); var seedMask = rsa_mgf1(maskedDB, md.digestLength, mgf1Md); var maskedSeed = forge3.util.xorBytes(seed, seedMask, seed.length); return "\0" + maskedSeed + maskedDB; }; pkcs1.decode_rsa_oaep = function(key, em, options) { var label; var md; var mgf1Md; if (typeof options === "string") { label = options; md = arguments[3] || void 0; } else if (options) { label = options.label || void 0; md = options.md || void 0; if (options.mgf1 && options.mgf1.md) { mgf1Md = options.mgf1.md; } } var keyLength = Math.ceil(key.n.bitLength() / 8); if (em.length !== keyLength) { var error = new Error("RSAES-OAEP encoded message length is invalid."); error.length = em.length; error.expectedLength = keyLength; throw error; } if (md === void 0) { md = forge3.md.sha1.create(); } else { md.start(); } if (!mgf1Md) { mgf1Md = md; } if (keyLength < 2 * md.digestLength + 2) { throw new Error("RSAES-OAEP key is too short for the hash function."); } if (!label) { label = ""; } md.update(label, "raw"); var lHash = md.digest().getBytes(); var y = em.charAt(0); var maskedSeed = em.substring(1, md.digestLength + 1); var maskedDB = em.substring(1 + md.digestLength); var seedMask = rsa_mgf1(maskedDB, md.digestLength, mgf1Md); var seed = forge3.util.xorBytes(maskedSeed, seedMask, maskedSeed.length); var dbMask = rsa_mgf1(seed, keyLength - md.digestLength - 1, mgf1Md); var db = forge3.util.xorBytes(maskedDB, dbMask, maskedDB.length); var lHashPrime = db.substring(0, md.digestLength); var error = y !== "\0"; for (var i = 0; i < md.digestLength; ++i) { error |= lHash.charAt(i) !== lHashPrime.charAt(i); } var in_ps = 1; var index = md.digestLength; for (var j = md.digestLength; j < db.length; j++) { var code = db.charCodeAt(j); var is_0 = code & 1 ^ 1; var error_mask = in_ps ? 65534 : 0; error |= code & error_mask; in_ps = in_ps & is_0; index += in_ps; } if (error || db.charCodeAt(index) !== 1) { throw new Error("Invalid RSAES-OAEP padding."); } return db.substring(index + 1); }; function rsa_mgf1(seed, maskLength, hash) { if (!hash) { hash = forge3.md.sha1.create(); } var t = ""; var count = Math.ceil(maskLength / hash.digestLength); for (var i = 0; i < count; ++i) { var c = String.fromCharCode(i >> 24 & 255, i >> 16 & 255, i >> 8 & 255, i & 255); hash.start(); hash.update(seed + c); t += hash.digest().getBytes(); } return t.substring(0, maskLength); } } }); var require_prime = __commonJS({ "node_modules/node-forge/lib/prime.js"(exports2, module2) { var forge3 = require_forge(); require_util(); require_jsbn(); require_random(); (function() { if (forge3.prime) { module2.exports = forge3.prime; return; } var prime = module2.exports = forge3.prime = forge3.prime || {}; var BigInteger = forge3.jsbn.BigInteger; var GCD_30_DELTA = [6, 4, 2, 4, 2, 4, 6, 2]; var THIRTY = new BigInteger(null); THIRTY.fromInt(30); var op_or = function(x, y) { return x | y; }; prime.generateProbablePrime = function(bits, options, callback) { if (typeof options === "function") { callback = options; options = {}; } options = options || {}; var algorithm = options.algorithm || "PRIMEINC"; if (typeof algorithm === "string") { algorithm = { name: algorithm }; } algorithm.options = algorithm.options || {}; var prng = options.prng || forge3.random; var rng = { nextBytes: function(x) { var b = prng.getBytesSync(x.length); for (var i = 0; i < x.length; ++i) { x[i] = b.charCodeAt(i); } } }; if (algorithm.name === "PRIMEINC") { return primeincFindPrime(bits, rng, algorithm.options, callback); } throw new Error("Invalid prime generation algorithm: " + algorithm.name); }; function primeincFindPrime(bits, rng, options, callback) { if ("workers" in options) { return primeincFindPrimeWithWorkers(bits, rng, options, callback); } return primeincFindPrimeWithoutWorkers(bits, rng, options, callback); } function primeincFindPrimeWithoutWorkers(bits, rng, options, callback) { var num = generateRandom(bits, rng); var deltaIdx = 0; var mrTests = getMillerRabinTests(num.bitLength()); if ("millerRabinTests" in options) { mrTests = options.millerRabinTests; } var maxBlockTime = 10; if ("maxBlockTime" in options) { maxBlockTime = options.maxBlockTime; } _primeinc(num, bits, rng, deltaIdx, mrTests, maxBlockTime, callback); } function _primeinc(num, bits, rng, deltaIdx, mrTests, maxBlockTime, callback) { var start = +new Date(); do { if (num.bitLength() > bits) { num = generateRandom(bits, rng); } if (num.isProbablePrime(mrTests)) { return callback(null, num); } num.dAddOffset(GCD_30_DELTA[deltaIdx++ % 8], 0); } while (maxBlockTime < 0 || +new Date() - start < maxBlockTime); forge3.util.setImmediate(function() { _primeinc(num, bits, rng, deltaIdx, mrTests, maxBlockTime, callback); }); } function primeincFindPrimeWithWorkers(bits, rng, options, callback) { if (typeof Worker === "undefined") { return primeincFindPrimeWithoutWorkers(bits, rng, options, callback); } var num = generateRandom(bits, rng); var numWorkers = options.workers; var workLoad = options.workLoad || 100; var range = workLoad * 30 / 8; var workerScript = options.workerScript || "forge/prime.worker.js"; if (numWorkers === -1) { return forge3.util.estimateCores(function(err, cores) { if (err) { cores = 2; } numWorkers = cores - 1; generate(); }); } generate(); function generate() { numWorkers = Math.max(1, numWorkers); var workers = []; for (var i = 0; i < numWorkers; ++i) { workers[i] = new Worker(workerScript); } var running = numWorkers; for (var i = 0; i < numWorkers; ++i) { workers[i].addEventListener("message", workerMessage); } var found = false; function workerMessage(e) { if (found) { return; } --running; var data = e.data; if (data.found) { for (var i2 = 0; i2 < workers.length; ++i2) { workers[i2].terminate(); } found = true; return callback(null, new BigInteger(data.prime, 16)); } if (num.bitLength() > bits) { num = generateRandom(bits, rng); } var hex = num.toString(16); e.target.postMessage({ hex, workLoad }); num.dAddOffset(range, 0); } } } function generateRandom(bits, rng) { var num = new BigInteger(bits, rng); var bits1 = bits - 1; if (!num.testBit(bits1)) { num.bitwiseTo(BigInteger.ONE.shiftLeft(bits1), op_or, num); } num.dAddOffset(31 - num.mod(THIRTY).byteValue(), 0); return num; } function getMillerRabinTests(bits) { if (bits <= 100) return 27; if (bits <= 150) return 18; if (bits <= 200) return 15; if (bits <= 250) return 12; if (bits <= 300) return 9; if (bits <= 350) return 8; if (bits <= 400) return 7; if (bits <= 500) return 6; if (bits <= 600) return 5; if (bits <= 800) return 4; if (bits <= 1250) return 3; return 2; } })(); } }); var require_rsa = __commonJS({ "node_modules/node-forge/lib/rsa.js"(exports2, module2) { var forge3 = require_forge(); require_asn1(); require_jsbn(); require_oids(); require_pkcs1(); require_prime(); require_random(); require_util(); if (typeof BigInteger === "undefined") { BigInteger = forge3.jsbn.BigInteger; } var BigInteger; var _crypto = forge3.util.isNodejs ? require("crypto") : null; var asn1 = forge3.asn1; var util = forge3.util; forge3.pki = forge3.pki || {}; module2.exports = forge3.pki.rsa = forge3.rsa = forge3.rsa || {}; var pki2 = forge3.pki; var GCD_30_DELTA = [6, 4, 2, 4, 2, 4, 6, 2]; var privateKeyValidator = { name: "PrivateKeyInfo", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, value: [{ name: "PrivateKeyInfo.version", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.INTEGER, constructed: false, capture: "privateKeyVersion" }, { name: "PrivateKeyInfo.privateKeyAlgorithm", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, value: [{ name: "AlgorithmIdentifier.algorithm", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.OID, constructed: false, capture: "privateKeyOid" }] }, { name: "PrivateKeyInfo", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.OCTETSTRING, constructed: false, capture: "privateKey" }] }; var rsaPrivateKeyValidator = { name: "RSAPrivateKey", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, value: [{ name: "RSAPrivateKey.version", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.INTEGER, constructed: false, capture: "privateKeyVersion" }, { name: "RSAPrivateKey.modulus", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.INTEGER, constructed: false, capture: "privateKeyModulus" }, { name: "RSAPrivateKey.publicExponent", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.INTEGER, constructed: false, capture: "privateKeyPublicExponent" }, { name: "RSAPrivateKey.privateExponent", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.INTEGER, constructed: false, capture: "privateKeyPrivateExponent" }, { name: "RSAPrivateKey.prime1", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.INTEGER, constructed: false, capture: "privateKeyPrime1" }, { name: "RSAPrivateKey.prime2", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.INTEGER, constructed: false, capture: "privateKeyPrime2" }, { name: "RSAPrivateKey.exponent1", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.INTEGER, constructed: false, capture: "privateKeyExponent1" }, { name: "RSAPrivateKey.exponent2", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.INTEGER, constructed: false, capture: "privateKeyExponent2" }, { name: "RSAPrivateKey.coefficient", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.INTEGER, constructed: false, capture: "privateKeyCoefficient" }] }; var rsaPublicKeyValidator = { name: "RSAPublicKey", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, value: [{ name: "RSAPublicKey.modulus", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.INTEGER, constructed: false, capture: "publicKeyModulus" }, { name: "RSAPublicKey.exponent", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.INTEGER, constructed: false, capture: "publicKeyExponent" }] }; var publicKeyValidator = forge3.pki.rsa.publicKeyValidator = { name: "SubjectPublicKeyInfo", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, captureAsn1: "subjectPublicKeyInfo", value: [{ name: "SubjectPublicKeyInfo.AlgorithmIdentifier", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, value: [{ name: "AlgorithmIdentifier.algorithm", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.OID, constructed: false, capture: "publicKeyOid" }] }, { name: "SubjectPublicKeyInfo.subjectPublicKey", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.BITSTRING, constructed: false, value: [{ name: "SubjectPublicKeyInfo.subjectPublicKey.RSAPublicKey", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, optional: true, captureAsn1: "rsaPublicKey" }] }] }; var digestInfoValidator = { name: "DigestInfo", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, value: [{ name: "DigestInfo.DigestAlgorithm", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, value: [{ name: "DigestInfo.DigestAlgorithm.algorithmIdentifier", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.OID, constructed: false, capture: "algorithmIdentifier" }, { name: "DigestInfo.DigestAlgorithm.parameters", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.NULL, capture: "parameters", optional: true, constructed: false }] }, { name: "DigestInfo.digest", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.OCTETSTRING, constructed: false, capture: "digest" }] }; var emsaPkcs1v15encode = function(md) { var oid; if (md.algorithm in pki2.oids) { oid = pki2.oids[md.algorithm]; } else { var error = new Error("Unknown message digest algorithm."); error.algorithm = md.algorithm; throw error; } var oidBytes = asn1.oidToDer(oid).getBytes(); var digestInfo = asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, []); var digestAlgorithm = asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, []); digestAlgorithm.value.push(asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OID, false, oidBytes)); digestAlgorithm.value.push(asn1.create(asn1.Class.UNIVERSAL, asn1.Type.NULL, false, "")); var digest = asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OCTETSTRING, false, md.digest().getBytes()); digestInfo.value.push(digestAlgorithm); digestInfo.value.push(digest); return asn1.toDer(digestInfo).getBytes(); }; var _modPow = function(x, key, pub) { if (pub) { return x.modPow(key.e, key.n); } if (!key.p || !key.q) { return x.modPow(key.d, key.n); } if (!key.dP) { key.dP = key.d.mod(key.p.subtract(BigInteger.ONE)); } if (!key.dQ) { key.dQ = key.d.mod(key.q.subtract(BigInteger.ONE)); } if (!key.qInv) { key.qInv = key.q.modInverse(key.p); } var r; do { r = new BigInteger(forge3.util.bytesToHex(forge3.random.getBytes(key.n.bitLength() / 8)), 16); } while (r.compareTo(key.n) >= 0 || !r.gcd(key.n).equals(BigInteger.ONE)); x = x.multiply(r.modPow(key.e, key.n)).mod(key.n); var xp = x.mod(key.p).modPow(key.dP, key.p); var xq = x.mod(key.q).modPow(key.dQ, key.q); while (xp.compareTo(xq) < 0) { xp = xp.add(key.p); } var y = xp.subtract(xq).multiply(key.qInv).mod(key.p).multiply(key.q).add(xq); y = y.multiply(r.modInverse(key.n)).mod(key.n); return y; }; pki2.rsa.encrypt = function(m, key, bt) { var pub = bt; var eb; var k = Math.ceil(key.n.bitLength() / 8); if (bt !== false && bt !== true) { pub = bt === 2; eb = _encodePkcs1_v1_5(m, key, bt); } else { eb = forge3.util.createBuffer(); eb.putBytes(m); } var x = new BigInteger(eb.toHex(), 16); var y = _modPow(x, key, pub); var yhex = y.toString(16); var ed = forge3.util.createBuffer(); var zeros = k - Math.ceil(yhex.length / 2); while (zeros > 0) { ed.putByte(0); --zeros; } ed.putBytes(forge3.util.hexToBytes(yhex)); return ed.getBytes(); }; pki2.rsa.decrypt = function(ed, key, pub, ml) { var k = Math.ceil(key.n.bitLength() / 8); if (ed.length !== k) { var error = new Error("Encrypted message length is invalid."); error.length = ed.length; error.expected = k; throw error; } var y = new BigInteger(forge3.util.createBuffer(ed).toHex(), 16); if (y.compareTo(key.n) >= 0) { throw new Error("Encrypted message is invalid."); } var x = _modPow(y, key, pub); var xhex = x.toString(16); var eb = forge3.util.createBuffer(); var zeros = k - Math.ceil(xhex.length / 2); while (zeros > 0) { eb.putByte(0); --zeros; } eb.putBytes(forge3.util.hexToBytes(xhex)); if (ml !== false) { return _decodePkcs1_v1_5(eb.getBytes(), key, pub); } return eb.getBytes(); }; pki2.rsa.createKeyPairGenerationState = function(bits, e, options) { if (typeof bits === "string") { bits = parseInt(bits, 10); } bits = bits || 2048; options = options || {}; var prng = options.prng || forge3.random; var rng = { nextBytes: function(x) { var b = prng.getBytesSync(x.length); for (var i = 0; i < x.length; ++i) { x[i] = b.charCodeAt(i); } } }; var algorithm = options.algorithm || "PRIMEINC"; var rval; if (algorithm === "PRIMEINC") { rval = { algorithm, state: 0, bits, rng, eInt: e || 65537, e: new BigInteger(null), p: null, q: null, qBits: bits >> 1, pBits: bits - (bits >> 1), pqState: 0, num: null, keys: null }; rval.e.fromInt(rval.eInt); } else { throw new Error("Invalid key generation algorithm: " + algorithm); } return rval; }; pki2.rsa.stepKeyPairGenerationState = function(state, n) { if (!("algorithm" in state)) { state.algorithm = "PRIMEINC"; } var THIRTY = new BigInteger(null); THIRTY.fromInt(30); var deltaIdx = 0; var op_or = function(x, y) { return x | y; }; var t1 = +new Date(); var t2; var total = 0; while (state.keys === null && (n <= 0 || total < n)) { if (state.state === 0) { var bits = state.p === null ? state.pBits : state.qBits; var bits1 = bits - 1; if (state.pqState === 0) { state.num = new BigInteger(bits, state.rng); if (!state.num.testBit(bits1)) { state.num.bitwiseTo(BigInteger.ONE.shiftLeft(bits1), op_or, state.num); } state.num.dAddOffset(31 - state.num.mod(THIRTY).byteValue(), 0); deltaIdx = 0; ++state.pqState; } else if (state.pqState === 1) { if (state.num.bitLength() > bits) { state.pqState = 0; } else if (state.num.isProbablePrime(_getMillerRabinTests(state.num.bitLength()))) { ++state.pqState; } else { state.num.dAddOffset(GCD_30_DELTA[deltaIdx++ % 8], 0); } } else if (state.pqState === 2) { state.pqState = state.num.subtract(BigInteger.ONE).gcd(state.e).compareTo(BigInteger.ONE) === 0 ? 3 : 0; } else if (state.pqState === 3) { state.pqState = 0; if (state.p === null) { state.p = state.num; } else { state.q = state.num; } if (state.p !== null && state.q !== null) { ++state.state; } state.num = null; } } else if (state.state === 1) { if (state.p.compareTo(state.q) < 0) { state.num = state.p; state.p = state.q; state.q = state.num; } ++state.state; } else if (state.state === 2) { state.p1 = state.p.subtract(BigInteger.ONE); state.q1 = state.q.subtract(BigInteger.ONE); state.phi = state.p1.multiply(state.q1); ++state.state; } else if (state.state === 3) { if (state.phi.gcd(state.e).compareTo(BigInteger.ONE) === 0) { ++state.state; } else { state.p = null; state.q = null; state.state = 0; } } else if (state.state === 4) { state.n = state.p.multiply(state.q); if (state.n.bitLength() === state.bits) { ++state.state; } else { state.q = null; state.state = 0; } } else if (state.state === 5) { var d = state.e.modInverse(state.phi); state.keys = { privateKey: pki2.rsa.setPrivateKey(state.n, state.e, d, state.p, state.q, d.mod(state.p1), d.mod(state.q1), state.q.modInverse(state.p)), publicKey: pki2.rsa.setPublicKey(state.n, state.e) }; } t2 = +new Date(); total += t2 - t1; t1 = t2; } return state.keys !== null; }; pki2.rsa.generateKeyPair = function(bits, e, options, callback) { if (arguments.length === 1) { if (typeof bits === "object") { options = bits; bits = void 0; } else if (typeof bits === "function") { callback = bits; bits = void 0; } } else if (arguments.length === 2) { if (typeof bits === "number") { if (typeof e === "function") { callback = e; e = void 0; } else if (typeof e !== "number") { options = e; e = void 0; } } else { options = bits; callback = e; bits = void 0; e = void 0; } } else if (arguments.length === 3) { if (typeof e === "number") { if (typeof options === "function") { callback = options; options = void 0; } } else { callback = options; options = e; e = void 0; } } options = options || {}; if (bits === void 0) { bits = options.bits || 2048; } if (e === void 0) { e = options.e || 65537; } if (!forge3.options.usePureJavaScript && !options.prng && bits >= 256 && bits <= 16384 && (e === 65537 || e === 3)) { if (callback) { if (_detectNodeCrypto("generateKeyPair")) { return _crypto.generateKeyPair("rsa", { modulusLength: bits, publicExponent: e, publicKeyEncoding: { type: "spki", format: "pem" }, privateKeyEncoding: { type: "pkcs8", format: "pem" } }, function(err, pub, priv) { if (err) { return callback(err); } callback(null, { privateKey: pki2.privateKeyFromPem(priv), publicKey: pki2.publicKeyFromPem(pub) }); }); } if (_detectSubtleCrypto("generateKey") && _detectSubtleCrypto("exportKey")) { return util.globalScope.crypto.subtle.generateKey({ name: "RSASSA-PKCS1-v1_5", modulusLength: bits, publicExponent: _intToUint8Array(e), hash: { name: "SHA-256" } }, true, ["sign", "verify"]).then(function(pair) { return util.globalScope.crypto.subtle.exportKey("pkcs8", pair.privateKey); }).then(void 0, function(err) { callback(err); }).then(function(pkcs8) { if (pkcs8) { var privateKey = pki2.privateKeyFromAsn1(asn1.fromDer(forge3.util.createBuffer(pkcs8))); callback(null, { privateKey, publicKey: pki2.setRsaPublicKey(privateKey.n, privateKey.e) }); } }); } if (_detectSubtleMsCrypto("generateKey") && _detectSubtleMsCrypto("exportKey")) { var genOp = util.globalScope.msCrypto.subtle.generateKey({ name: "RSASSA-PKCS1-v1_5", modulusLength: bits, publicExponent: _intToUint8Array(e), hash: { name: "SHA-256" } }, true, ["sign", "verify"]); genOp.oncomplete = function(e2) { var pair = e2.target.result; var exportOp = util.globalScope.msCrypto.subtle.exportKey("pkcs8", pair.privateKey); exportOp.oncomplete = function(e3) { var pkcs8 = e3.target.result; var privateKey = pki2.privateKeyFromAsn1(asn1.fromDer(forge3.util.createBuffer(pkcs8))); callback(null, { privateKey, publicKey: pki2.setRsaPublicKey(privateKey.n, privateKey.e) }); }; exportOp.onerror = function(err) { callback(err); }; }; genOp.onerror = function(err) { callback(err); }; return; } } else { if (_detectNodeCrypto("generateKeyPairSync")) { var keypair = _crypto.generateKeyPairSync("rsa", { modulusLength: bits, publicExponent: e, publicKeyEncoding: { type: "spki", format: "pem" }, privateKeyEncoding: { type: "pkcs8", format: "pem" } }); return { privateKey: pki2.privateKeyFromPem(keypair.privateKey), publicKey: pki2.publicKeyFromPem(keypair.publicKey) }; } } } var state = pki2.rsa.createKeyPairGenerationState(bits, e, options); if (!callback) { pki2.rsa.stepKeyPairGenerationState(state, 0); return state.keys; } _generateKeyPair(state, options, callback); }; pki2.setRsaPublicKey = pki2.rsa.setPublicKey = function(n, e) { var key = { n, e }; key.encrypt = function(data, scheme, schemeOptions) { if (typeof scheme === "string") { scheme = scheme.toUpperCase(); } else if (scheme === void 0) { scheme = "RSAES-PKCS1-V1_5"; } if (scheme === "RSAES-PKCS1-V1_5") { scheme = { encode: function(m, key2, pub) { return _encodePkcs1_v1_5(m, key2, 2).getBytes(); } }; } else if (scheme === "RSA-OAEP" || scheme === "RSAES-OAEP") { scheme = { encode: function(m, key2) { return forge3.pkcs1.encode_rsa_oaep(key2, m, schemeOptions); } }; } else if (["RAW", "NONE", "NULL", null].indexOf(scheme) !== -1) { scheme = { encode: function(e3) { return e3; } }; } else if (typeof scheme === "string") { throw new Error('Unsupported encryption scheme: "' + scheme + '".'); } var e2 = scheme.encode(data, key, true); return pki2.rsa.encrypt(e2, key, true); }; key.verify = function(digest, signature, scheme, options) { if (typeof scheme === "string") { scheme = scheme.toUpperCase(); } else if (scheme === void 0) { scheme = "RSASSA-PKCS1-V1_5"; } if (options === void 0) { options = { _parseAllDigestBytes: true }; } if (!("_parseAllDigestBytes" in options)) { options._parseAllDigestBytes = true; } if (scheme === "RSASSA-PKCS1-V1_5") { scheme = { verify: function(digest2, d2) { d2 = _decodePkcs1_v1_5(d2, key, true); var obj = asn1.fromDer(d2, { parseAllBytes: options._parseAllDigestBytes }); var capture = {}; var errors = []; if (!asn1.validate(obj, digestInfoValidator, capture, errors)) { var error = new Error("ASN.1 object does not contain a valid RSASSA-PKCS1-v1_5 DigestInfo value."); error.errors = errors; throw error; } var oid = asn1.derToOid(capture.algorithmIdentifier); if (!(oid === forge3.oids.md2 || oid === forge3.oids.md5 || oid === forge3.oids.sha1 || oid === forge3.oids.sha224 || oid === forge3.oids.sha256 || oid === forge3.oids.sha384 || oid === forge3.oids.sha512 || oid === forge3.oids["sha512-224"] || oid === forge3.oids["sha512-256"])) { var error = new Error("Unknown RSASSA-PKCS1-v1_5 DigestAlgorithm identifier."); error.oid = oid; throw error; } if (oid === forge3.oids.md2 || oid === forge3.oids.md5) { if (!("parameters" in capture)) { throw new Error("ASN.1 object does not contain a valid RSASSA-PKCS1-v1_5 DigestInfo value. Missing algorithm identifer NULL parameters."); } } return digest2 === capture.digest; } }; } else if (scheme === "NONE" || scheme === "NULL" || scheme === null) { scheme = { verify: function(digest2, d2) { d2 = _decodePkcs1_v1_5(d2, key, true); return digest2 === d2; } }; } var d = pki2.rsa.decrypt(signature, key, true, false); return scheme.verify(digest, d, key.n.bitLength()); }; return key; }; pki2.setRsaPrivateKey = pki2.rsa.setPrivateKey = function(n, e, d, p, q, dP, dQ, qInv) { var key = { n, e, d, p, q, dP, dQ, qInv }; key.decrypt = function(data, scheme, schemeOptions) { if (typeof scheme === "string") { scheme = scheme.toUpperCase(); } else if (scheme === void 0) { scheme = "RSAES-PKCS1-V1_5"; } var d2 = pki2.rsa.decrypt(data, key, false, false); if (scheme === "RSAES-PKCS1-V1_5") { scheme = { decode: _decodePkcs1_v1_5 }; } else if (scheme === "RSA-OAEP" || scheme === "RSAES-OAEP") { scheme = { decode: function(d3, key2) { return forge3.pkcs1.decode_rsa_oaep(key2, d3, schemeOptions); } }; } else if (["RAW", "NONE", "NULL", null].indexOf(scheme) !== -1) { scheme = { decode: function(d3) { return d3; } }; } else { throw new Error('Unsupported encryption scheme: "' + scheme + '".'); } return scheme.decode(d2, key, false); }; key.sign = function(md, scheme) { var bt = false; if (typeof scheme === "string") { scheme = scheme.toUpperCase(); } if (scheme === void 0 || scheme === "RSASSA-PKCS1-V1_5") { scheme = { encode: emsaPkcs1v15encode }; bt = 1; } else if (scheme === "NONE" || scheme === "NULL" || scheme === null) { scheme = { encode: function() { return md; } }; bt = 1; } var d2 = scheme.encode(md, key.n.bitLength()); return pki2.rsa.encrypt(d2, key, bt); }; return key; }; pki2.wrapRsaPrivateKey = function(rsaKey) { return asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.INTEGER, false, asn1.integerToDer(0).getBytes()), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OID, false, asn1.oidToDer(pki2.oids.rsaEncryption).getBytes()), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.NULL, false, "") ]), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OCTETSTRING, false, asn1.toDer(rsaKey).getBytes()) ]); }; pki2.privateKeyFromAsn1 = function(obj) { var capture = {}; var errors = []; if (asn1.validate(obj, privateKeyValidator, capture, errors)) { obj = asn1.fromDer(forge3.util.createBuffer(capture.privateKey)); } capture = {}; errors = []; if (!asn1.validate(obj, rsaPrivateKeyValidator, capture, errors)) { var error = new Error("Cannot read private key. ASN.1 object does not contain an RSAPrivateKey."); error.errors = errors; throw error; } var n, e, d, p, q, dP, dQ, qInv; n = forge3.util.createBuffer(capture.privateKeyModulus).toHex(); e = forge3.util.createBuffer(capture.privateKeyPublicExponent).toHex(); d = forge3.util.createBuffer(capture.privateKeyPrivateExponent).toHex(); p = forge3.util.createBuffer(capture.privateKeyPrime1).toHex(); q = forge3.util.createBuffer(capture.privateKeyPrime2).toHex(); dP = forge3.util.createBuffer(capture.privateKeyExponent1).toHex(); dQ = forge3.util.createBuffer(capture.privateKeyExponent2).toHex(); qInv = forge3.util.createBuffer(capture.privateKeyCoefficient).toHex(); return pki2.setRsaPrivateKey(new BigInteger(n, 16), new BigInteger(e, 16), new BigInteger(d, 16), new BigInteger(p, 16), new BigInteger(q, 16), new BigInteger(dP, 16), new BigInteger(dQ, 16), new BigInteger(qInv, 16)); }; pki2.privateKeyToAsn1 = pki2.privateKeyToRSAPrivateKey = function(key) { return asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.INTEGER, false, asn1.integerToDer(0).getBytes()), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.INTEGER, false, _bnToBytes(key.n)), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.INTEGER, false, _bnToBytes(key.e)), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.INTEGER, false, _bnToBytes(key.d)), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.INTEGER, false, _bnToBytes(key.p)), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.INTEGER, false, _bnToBytes(key.q)), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.INTEGER, false, _bnToBytes(key.dP)), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.INTEGER, false, _bnToBytes(key.dQ)), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.INTEGER, false, _bnToBytes(key.qInv)) ]); }; pki2.publicKeyFromAsn1 = function(obj) { var capture = {}; var errors = []; if (asn1.validate(obj, publicKeyValidator, capture, errors)) { var oid = asn1.derToOid(capture.publicKeyOid); if (oid !== pki2.oids.rsaEncryption) { var error = new Error("Cannot read public key. Unknown OID."); error.oid = oid; throw error; } obj = capture.rsaPublicKey; } errors = []; if (!asn1.validate(obj, rsaPublicKeyValidator, capture, errors)) { var error = new Error("Cannot read public key. ASN.1 object does not contain an RSAPublicKey."); error.errors = errors; throw error; } var n = forge3.util.createBuffer(capture.publicKeyModulus).toHex(); var e = forge3.util.createBuffer(capture.publicKeyExponent).toHex(); return pki2.setRsaPublicKey(new BigInteger(n, 16), new BigInteger(e, 16)); }; pki2.publicKeyToAsn1 = pki2.publicKeyToSubjectPublicKeyInfo = function(key) { return asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OID, false, asn1.oidToDer(pki2.oids.rsaEncryption).getBytes()), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.NULL, false, "") ]), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.BITSTRING, false, [ pki2.publicKeyToRSAPublicKey(key) ]) ]); }; pki2.publicKeyToRSAPublicKey = function(key) { return asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.INTEGER, false, _bnToBytes(key.n)), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.INTEGER, false, _bnToBytes(key.e)) ]); }; function _encodePkcs1_v1_5(m, key, bt) { var eb = forge3.util.createBuffer(); var k = Math.ceil(key.n.bitLength() / 8); if (m.length > k - 11) { var error = new Error("Message is too long for PKCS#1 v1.5 padding."); error.length = m.length; error.max = k - 11; throw error; } eb.putByte(0); eb.putByte(bt); var padNum = k - 3 - m.length; var padByte; if (bt === 0 || bt === 1) { padByte = bt === 0 ? 0 : 255; for (var i = 0; i < padNum; ++i) { eb.putByte(padByte); } } else { while (padNum > 0) { var numZeros = 0; var padBytes = forge3.random.getBytes(padNum); for (var i = 0; i < padNum; ++i) { padByte = padBytes.charCodeAt(i); if (padByte === 0) { ++numZeros; } else { eb.putByte(padByte); } } padNum = numZeros; } } eb.putByte(0); eb.putBytes(m); return eb; } function _decodePkcs1_v1_5(em, key, pub, ml) { var k = Math.ceil(key.n.bitLength() / 8); var eb = forge3.util.createBuffer(em); var first = eb.getByte(); var bt = eb.getByte(); if (first !== 0 || pub && bt !== 0 && bt !== 1 || !pub && bt != 2 || pub && bt === 0 && typeof ml === "undefined") { throw new Error("Encryption block is invalid."); } var padNum = 0; if (bt === 0) { padNum = k - 3 - ml; for (var i = 0; i < padNum; ++i) { if (eb.getByte() !== 0) { throw new Error("Encryption block is invalid."); } } } else if (bt === 1) { padNum = 0; while (eb.length() > 1) { if (eb.getByte() !== 255) { --eb.read; break; } ++padNum; } } else if (bt === 2) { padNum = 0; while (eb.length() > 1) { if (eb.getByte() === 0) { --eb.read; break; } ++padNum; } } var zero = eb.getByte(); if (zero !== 0 || padNum !== k - 3 - eb.length()) { throw new Error("Encryption block is invalid."); } return eb.getBytes(); } function _generateKeyPair(state, options, callback) { if (typeof options === "function") { callback = options; options = {}; } options = options || {}; var opts = { algorithm: { name: options.algorithm || "PRIMEINC", options: { workers: options.workers || 2, workLoad: options.workLoad || 100, workerScript: options.workerScript } } }; if ("prng" in options) { opts.prng = options.prng; } generate(); function generate() { getPrime(state.pBits, function(err, num) { if (err) { return callback(err); } state.p = num; if (state.q !== null) { return finish(err, state.q); } getPrime(state.qBits, finish); }); } function getPrime(bits, callback2) { forge3.prime.generateProbablePrime(bits, opts, callback2); } function finish(err, num) { if (err) { return callback(err); } state.q = num; if (state.p.compareTo(state.q) < 0) { var tmp = state.p; state.p = state.q; state.q = tmp; } if (state.p.subtract(BigInteger.ONE).gcd(state.e).compareTo(BigInteger.ONE) !== 0) { state.p = null; generate(); return; } if (state.q.subtract(BigInteger.ONE).gcd(state.e).compareTo(BigInteger.ONE) !== 0) { state.q = null; getPrime(state.qBits, finish); return; } state.p1 = state.p.subtract(BigInteger.ONE); state.q1 = state.q.subtract(BigInteger.ONE); state.phi = state.p1.multiply(state.q1); if (state.phi.gcd(state.e).compareTo(BigInteger.ONE) !== 0) { state.p = state.q = null; generate(); return; } state.n = state.p.multiply(state.q); if (state.n.bitLength() !== state.bits) { state.q = null; getPrime(state.qBits, finish); return; } var d = state.e.modInverse(state.phi); state.keys = { privateKey: pki2.rsa.setPrivateKey(state.n, state.e, d, state.p, state.q, d.mod(state.p1), d.mod(state.q1), state.q.modInverse(state.p)), publicKey: pki2.rsa.setPublicKey(state.n, state.e) }; callback(null, state.keys); } } function _bnToBytes(b) { var hex = b.toString(16); if (hex[0] >= "8") { hex = "00" + hex; } var bytes = forge3.util.hexToBytes(hex); if (bytes.length > 1 && (bytes.charCodeAt(0) === 0 && (bytes.charCodeAt(1) & 128) === 0 || bytes.charCodeAt(0) === 255 && (bytes.charCodeAt(1) & 128) === 128)) { return bytes.substr(1); } return bytes; } function _getMillerRabinTests(bits) { if (bits <= 100) return 27; if (bits <= 150) return 18; if (bits <= 200) return 15; if (bits <= 250) return 12; if (bits <= 300) return 9; if (bits <= 350) return 8; if (bits <= 400) return 7; if (bits <= 500) return 6; if (bits <= 600) return 5; if (bits <= 800) return 4; if (bits <= 1250) return 3; return 2; } function _detectNodeCrypto(fn2) { return forge3.util.isNodejs && typeof _crypto[fn2] === "function"; } function _detectSubtleCrypto(fn2) { return typeof util.globalScope !== "undefined" && typeof util.globalScope.crypto === "object" && typeof util.globalScope.crypto.subtle === "object" && typeof util.globalScope.crypto.subtle[fn2] === "function"; } function _detectSubtleMsCrypto(fn2) { return typeof util.globalScope !== "undefined" && typeof util.globalScope.msCrypto === "object" && typeof util.globalScope.msCrypto.subtle === "object" && typeof util.globalScope.msCrypto.subtle[fn2] === "function"; } function _intToUint8Array(x) { var bytes = forge3.util.hexToBytes(x.toString(16)); var buffer = new Uint8Array(bytes.length); for (var i = 0; i < bytes.length; ++i) { buffer[i] = bytes.charCodeAt(i); } return buffer; } } }); var require_pbe = __commonJS({ "node_modules/node-forge/lib/pbe.js"(exports2, module2) { var forge3 = require_forge(); require_aes(); require_asn1(); require_des(); require_md(); require_oids(); require_pbkdf2(); require_pem(); require_random(); require_rc2(); require_rsa(); require_util(); if (typeof BigInteger === "undefined") { BigInteger = forge3.jsbn.BigInteger; } var BigInteger; var asn1 = forge3.asn1; var pki2 = forge3.pki = forge3.pki || {}; module2.exports = pki2.pbe = forge3.pbe = forge3.pbe || {}; var oids = pki2.oids; var encryptedPrivateKeyValidator = { name: "EncryptedPrivateKeyInfo", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, value: [{ name: "EncryptedPrivateKeyInfo.encryptionAlgorithm", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, value: [{ name: "AlgorithmIdentifier.algorithm", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.OID, constructed: false, capture: "encryptionOid" }, { name: "AlgorithmIdentifier.parameters", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, captureAsn1: "encryptionParams" }] }, { name: "EncryptedPrivateKeyInfo.encryptedData", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.OCTETSTRING, constructed: false, capture: "encryptedData" }] }; var PBES2AlgorithmsValidator = { name: "PBES2Algorithms", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, value: [{ name: "PBES2Algorithms.keyDerivationFunc", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, value: [{ name: "PBES2Algorithms.keyDerivationFunc.oid", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.OID, constructed: false, capture: "kdfOid" }, { name: "PBES2Algorithms.params", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, value: [{ name: "PBES2Algorithms.params.salt", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.OCTETSTRING, constructed: false, capture: "kdfSalt" }, { name: "PBES2Algorithms.params.iterationCount", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.INTEGER, constructed: false, capture: "kdfIterationCount" }, { name: "PBES2Algorithms.params.keyLength", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.INTEGER, constructed: false, optional: true, capture: "keyLength" }, { name: "PBES2Algorithms.params.prf", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, optional: true, value: [{ name: "PBES2Algorithms.params.prf.algorithm", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.OID, constructed: false, capture: "prfOid" }] }] }] }, { name: "PBES2Algorithms.encryptionScheme", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, value: [{ name: "PBES2Algorithms.encryptionScheme.oid", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.OID, constructed: false, capture: "encOid" }, { name: "PBES2Algorithms.encryptionScheme.iv", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.OCTETSTRING, constructed: false, capture: "encIv" }] }] }; var pkcs12PbeParamsValidator = { name: "pkcs-12PbeParams", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, value: [{ name: "pkcs-12PbeParams.salt", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.OCTETSTRING, constructed: false, capture: "salt" }, { name: "pkcs-12PbeParams.iterations", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.INTEGER, constructed: false, capture: "iterations" }] }; pki2.encryptPrivateKeyInfo = function(obj, password, options) { options = options || {}; options.saltSize = options.saltSize || 8; options.count = options.count || 2048; options.algorithm = options.algorithm || "aes128"; options.prfAlgorithm = options.prfAlgorithm || "sha1"; var salt = forge3.random.getBytesSync(options.saltSize); var count = options.count; var countBytes = asn1.integerToDer(count); var dkLen; var encryptionAlgorithm; var encryptedData; if (options.algorithm.indexOf("aes") === 0 || options.algorithm === "des") { var ivLen, encOid, cipherFn; switch (options.algorithm) { case "aes128": dkLen = 16; ivLen = 16; encOid = oids["aes128-CBC"]; cipherFn = forge3.aes.createEncryptionCipher; break; case "aes192": dkLen = 24; ivLen = 16; encOid = oids["aes192-CBC"]; cipherFn = forge3.aes.createEncryptionCipher; break; case "aes256": dkLen = 32; ivLen = 16; encOid = oids["aes256-CBC"]; cipherFn = forge3.aes.createEncryptionCipher; break; case "des": dkLen = 8; ivLen = 8; encOid = oids["desCBC"]; cipherFn = forge3.des.createEncryptionCipher; break; default: var error = new Error("Cannot encrypt private key. Unknown encryption algorithm."); error.algorithm = options.algorithm; throw error; } var prfAlgorithm = "hmacWith" + options.prfAlgorithm.toUpperCase(); var md = prfAlgorithmToMessageDigest(prfAlgorithm); var dk = forge3.pkcs5.pbkdf2(password, salt, count, dkLen, md); var iv = forge3.random.getBytesSync(ivLen); var cipher = cipherFn(dk); cipher.start(iv); cipher.update(asn1.toDer(obj)); cipher.finish(); encryptedData = cipher.output.getBytes(); var params = createPbkdf2Params(salt, countBytes, dkLen, prfAlgorithm); encryptionAlgorithm = asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OID, false, asn1.oidToDer(oids["pkcs5PBES2"]).getBytes()), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OID, false, asn1.oidToDer(oids["pkcs5PBKDF2"]).getBytes()), params ]), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OID, false, asn1.oidToDer(encOid).getBytes()), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OCTETSTRING, false, iv) ]) ]) ]); } else if (options.algorithm === "3des") { dkLen = 24; var saltBytes = new forge3.util.ByteBuffer(salt); var dk = pki2.pbe.generatePkcs12Key(password, saltBytes, 1, count, dkLen); var iv = pki2.pbe.generatePkcs12Key(password, saltBytes, 2, count, dkLen); var cipher = forge3.des.createEncryptionCipher(dk); cipher.start(iv); cipher.update(asn1.toDer(obj)); cipher.finish(); encryptedData = cipher.output.getBytes(); encryptionAlgorithm = asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OID, false, asn1.oidToDer(oids["pbeWithSHAAnd3-KeyTripleDES-CBC"]).getBytes()), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OCTETSTRING, false, salt), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.INTEGER, false, countBytes.getBytes()) ]) ]); } else { var error = new Error("Cannot encrypt private key. Unknown encryption algorithm."); error.algorithm = options.algorithm; throw error; } var rval = asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ encryptionAlgorithm, asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OCTETSTRING, false, encryptedData) ]); return rval; }; pki2.decryptPrivateKeyInfo = function(obj, password) { var rval = null; var capture = {}; var errors = []; if (!asn1.validate(obj, encryptedPrivateKeyValidator, capture, errors)) { var error = new Error("Cannot read encrypted private key. ASN.1 object is not a supported EncryptedPrivateKeyInfo."); error.errors = errors; throw error; } var oid = asn1.derToOid(capture.encryptionOid); var cipher = pki2.pbe.getCipher(oid, capture.encryptionParams, password); var encrypted = forge3.util.createBuffer(capture.encryptedData); cipher.update(encrypted); if (cipher.finish()) { rval = asn1.fromDer(cipher.output); } return rval; }; pki2.encryptedPrivateKeyToPem = function(epki, maxline) { var msg = { type: "ENCRYPTED PRIVATE KEY", body: asn1.toDer(epki).getBytes() }; return forge3.pem.encode(msg, { maxline }); }; pki2.encryptedPrivateKeyFromPem = function(pem) { var msg = forge3.pem.decode(pem)[0]; if (msg.type !== "ENCRYPTED PRIVATE KEY") { var error = new Error('Could not convert encrypted private key from PEM; PEM header type is "ENCRYPTED PRIVATE KEY".'); error.headerType = msg.type; throw error; } if (msg.procType && msg.procType.type === "ENCRYPTED") { throw new Error("Could not convert encrypted private key from PEM; PEM is encrypted."); } return asn1.fromDer(msg.body); }; pki2.encryptRsaPrivateKey = function(rsaKey, password, options) { options = options || {}; if (!options.legacy) { var rval = pki2.wrapRsaPrivateKey(pki2.privateKeyToAsn1(rsaKey)); rval = pki2.encryptPrivateKeyInfo(rval, password, options); return pki2.encryptedPrivateKeyToPem(rval); } var algorithm; var iv; var dkLen; var cipherFn; switch (options.algorithm) { case "aes128": algorithm = "AES-128-CBC"; dkLen = 16; iv = forge3.random.getBytesSync(16); cipherFn = forge3.aes.createEncryptionCipher; break; case "aes192": algorithm = "AES-192-CBC"; dkLen = 24; iv = forge3.random.getBytesSync(16); cipherFn = forge3.aes.createEncryptionCipher; break; case "aes256": algorithm = "AES-256-CBC"; dkLen = 32; iv = forge3.random.getBytesSync(16); cipherFn = forge3.aes.createEncryptionCipher; break; case "3des": algorithm = "DES-EDE3-CBC"; dkLen = 24; iv = forge3.random.getBytesSync(8); cipherFn = forge3.des.createEncryptionCipher; break; case "des": algorithm = "DES-CBC"; dkLen = 8; iv = forge3.random.getBytesSync(8); cipherFn = forge3.des.createEncryptionCipher; break; default: var error = new Error('Could not encrypt RSA private key; unsupported encryption algorithm "' + options.algorithm + '".'); error.algorithm = options.algorithm; throw error; } var dk = forge3.pbe.opensslDeriveBytes(password, iv.substr(0, 8), dkLen); var cipher = cipherFn(dk); cipher.start(iv); cipher.update(asn1.toDer(pki2.privateKeyToAsn1(rsaKey))); cipher.finish(); var msg = { type: "RSA PRIVATE KEY", procType: { version: "4", type: "ENCRYPTED" }, dekInfo: { algorithm, parameters: forge3.util.bytesToHex(iv).toUpperCase() }, body: cipher.output.getBytes() }; return forge3.pem.encode(msg); }; pki2.decryptRsaPrivateKey = function(pem, password) { var rval = null; var msg = forge3.pem.decode(pem)[0]; if (msg.type !== "ENCRYPTED PRIVATE KEY" && msg.type !== "PRIVATE KEY" && msg.type !== "RSA PRIVATE KEY") { var error = new Error('Could not convert private key from PEM; PEM header type is not "ENCRYPTED PRIVATE KEY", "PRIVATE KEY", or "RSA PRIVATE KEY".'); error.headerType = error; throw error; } if (msg.procType && msg.procType.type === "ENCRYPTED") { var dkLen; var cipherFn; switch (msg.dekInfo.algorithm) { case "DES-CBC": dkLen = 8; cipherFn = forge3.des.createDecryptionCipher; break; case "DES-EDE3-CBC": dkLen = 24; cipherFn = forge3.des.createDecryptionCipher; break; case "AES-128-CBC": dkLen = 16; cipherFn = forge3.aes.createDecryptionCipher; break; case "AES-192-CBC": dkLen = 24; cipherFn = forge3.aes.createDecryptionCipher; break; case "AES-256-CBC": dkLen = 32; cipherFn = forge3.aes.createDecryptionCipher; break; case "RC2-40-CBC": dkLen = 5; cipherFn = function(key) { return forge3.rc2.createDecryptionCipher(key, 40); }; break; case "RC2-64-CBC": dkLen = 8; cipherFn = function(key) { return forge3.rc2.createDecryptionCipher(key, 64); }; break; case "RC2-128-CBC": dkLen = 16; cipherFn = function(key) { return forge3.rc2.createDecryptionCipher(key, 128); }; break; default: var error = new Error('Could not decrypt private key; unsupported encryption algorithm "' + msg.dekInfo.algorithm + '".'); error.algorithm = msg.dekInfo.algorithm; throw error; } var iv = forge3.util.hexToBytes(msg.dekInfo.parameters); var dk = forge3.pbe.opensslDeriveBytes(password, iv.substr(0, 8), dkLen); var cipher = cipherFn(dk); cipher.start(iv); cipher.update(forge3.util.createBuffer(msg.body)); if (cipher.finish()) { rval = cipher.output.getBytes(); } else { return rval; } } else { rval = msg.body; } if (msg.type === "ENCRYPTED PRIVATE KEY") { rval = pki2.decryptPrivateKeyInfo(asn1.fromDer(rval), password); } else { rval = asn1.fromDer(rval); } if (rval !== null) { rval = pki2.privateKeyFromAsn1(rval); } return rval; }; pki2.pbe.generatePkcs12Key = function(password, salt, id, iter, n, md) { var j, l; if (typeof md === "undefined" || md === null) { if (!("sha1" in forge3.md)) { throw new Error('"sha1" hash algorithm unavailable.'); } md = forge3.md.sha1.create(); } var u = md.digestLength; var v = md.blockLength; var result = new forge3.util.ByteBuffer(); var passBuf = new forge3.util.ByteBuffer(); if (password !== null && password !== void 0) { for (l = 0; l < password.length; l++) { passBuf.putInt16(password.charCodeAt(l)); } passBuf.putInt16(0); } var p = passBuf.length(); var s = salt.length(); var D = new forge3.util.ByteBuffer(); D.fillWithByte(id, v); var Slen = v * Math.ceil(s / v); var S = new forge3.util.ByteBuffer(); for (l = 0; l < Slen; l++) { S.putByte(salt.at(l % s)); } var Plen = v * Math.ceil(p / v); var P = new forge3.util.ByteBuffer(); for (l = 0; l < Plen; l++) { P.putByte(passBuf.at(l % p)); } var I = S; I.putBuffer(P); var c = Math.ceil(n / u); for (var i = 1; i <= c; i++) { var buf = new forge3.util.ByteBuffer(); buf.putBytes(D.bytes()); buf.putBytes(I.bytes()); for (var round = 0; round < iter; round++) { md.start(); md.update(buf.getBytes()); buf = md.digest(); } var B = new forge3.util.ByteBuffer(); for (l = 0; l < v; l++) { B.putByte(buf.at(l % u)); } var k = Math.ceil(s / v) + Math.ceil(p / v); var Inew = new forge3.util.ByteBuffer(); for (j = 0; j < k; j++) { var chunk = new forge3.util.ByteBuffer(I.getBytes(v)); var x = 511; for (l = B.length() - 1; l >= 0; l--) { x = x >> 8; x += B.at(l) + chunk.at(l); chunk.setAt(l, x & 255); } Inew.putBuffer(chunk); } I = Inew; result.putBuffer(buf); } result.truncate(result.length() - n); return result; }; pki2.pbe.getCipher = function(oid, params, password) { switch (oid) { case pki2.oids["pkcs5PBES2"]: return pki2.pbe.getCipherForPBES2(oid, params, password); case pki2.oids["pbeWithSHAAnd3-KeyTripleDES-CBC"]: case pki2.oids["pbewithSHAAnd40BitRC2-CBC"]: return pki2.pbe.getCipherForPKCS12PBE(oid, params, password); default: var error = new Error("Cannot read encrypted PBE data block. Unsupported OID."); error.oid = oid; error.supportedOids = [ "pkcs5PBES2", "pbeWithSHAAnd3-KeyTripleDES-CBC", "pbewithSHAAnd40BitRC2-CBC" ]; throw error; } }; pki2.pbe.getCipherForPBES2 = function(oid, params, password) { var capture = {}; var errors = []; if (!asn1.validate(params, PBES2AlgorithmsValidator, capture, errors)) { var error = new Error("Cannot read password-based-encryption algorithm parameters. ASN.1 object is not a supported EncryptedPrivateKeyInfo."); error.errors = errors; throw error; } oid = asn1.derToOid(capture.kdfOid); if (oid !== pki2.oids["pkcs5PBKDF2"]) { var error = new Error("Cannot read encrypted private key. Unsupported key derivation function OID."); error.oid = oid; error.supportedOids = ["pkcs5PBKDF2"]; throw error; } oid = asn1.derToOid(capture.encOid); if (oid !== pki2.oids["aes128-CBC"] && oid !== pki2.oids["aes192-CBC"] && oid !== pki2.oids["aes256-CBC"] && oid !== pki2.oids["des-EDE3-CBC"] && oid !== pki2.oids["desCBC"]) { var error = new Error("Cannot read encrypted private key. Unsupported encryption scheme OID."); error.oid = oid; error.supportedOids = [ "aes128-CBC", "aes192-CBC", "aes256-CBC", "des-EDE3-CBC", "desCBC" ]; throw error; } var salt = capture.kdfSalt; var count = forge3.util.createBuffer(capture.kdfIterationCount); count = count.getInt(count.length() << 3); var dkLen; var cipherFn; switch (pki2.oids[oid]) { case "aes128-CBC": dkLen = 16; cipherFn = forge3.aes.createDecryptionCipher; break; case "aes192-CBC": dkLen = 24; cipherFn = forge3.aes.createDecryptionCipher; break; case "aes256-CBC": dkLen = 32; cipherFn = forge3.aes.createDecryptionCipher; break; case "des-EDE3-CBC": dkLen = 24; cipherFn = forge3.des.createDecryptionCipher; break; case "desCBC": dkLen = 8; cipherFn = forge3.des.createDecryptionCipher; break; } var md = prfOidToMessageDigest(capture.prfOid); var dk = forge3.pkcs5.pbkdf2(password, salt, count, dkLen, md); var iv = capture.encIv; var cipher = cipherFn(dk); cipher.start(iv); return cipher; }; pki2.pbe.getCipherForPKCS12PBE = function(oid, params, password) { var capture = {}; var errors = []; if (!asn1.validate(params, pkcs12PbeParamsValidator, capture, errors)) { var error = new Error("Cannot read password-based-encryption algorithm parameters. ASN.1 object is not a supported EncryptedPrivateKeyInfo."); error.errors = errors; throw error; } var salt = forge3.util.createBuffer(capture.salt); var count = forge3.util.createBuffer(capture.iterations); count = count.getInt(count.length() << 3); var dkLen, dIvLen, cipherFn; switch (oid) { case pki2.oids["pbeWithSHAAnd3-KeyTripleDES-CBC"]: dkLen = 24; dIvLen = 8; cipherFn = forge3.des.startDecrypting; break; case pki2.oids["pbewithSHAAnd40BitRC2-CBC"]: dkLen = 5; dIvLen = 8; cipherFn = function(key2, iv2) { var cipher = forge3.rc2.createDecryptionCipher(key2, 40); cipher.start(iv2, null); return cipher; }; break; default: var error = new Error("Cannot read PKCS #12 PBE data block. Unsupported OID."); error.oid = oid; throw error; } var md = prfOidToMessageDigest(capture.prfOid); var key = pki2.pbe.generatePkcs12Key(password, salt, 1, count, dkLen, md); md.start(); var iv = pki2.pbe.generatePkcs12Key(password, salt, 2, count, dIvLen, md); return cipherFn(key, iv); }; pki2.pbe.opensslDeriveBytes = function(password, salt, dkLen, md) { if (typeof md === "undefined" || md === null) { if (!("md5" in forge3.md)) { throw new Error('"md5" hash algorithm unavailable.'); } md = forge3.md.md5.create(); } if (salt === null) { salt = ""; } var digests = [hash(md, password + salt)]; for (var length = 16, i = 1; length < dkLen; ++i, length += 16) { digests.push(hash(md, digests[i - 1] + password + salt)); } return digests.join("").substr(0, dkLen); }; function hash(md, bytes) { return md.start().update(bytes).digest().getBytes(); } function prfOidToMessageDigest(prfOid) { var prfAlgorithm; if (!prfOid) { prfAlgorithm = "hmacWithSHA1"; } else { prfAlgorithm = pki2.oids[asn1.derToOid(prfOid)]; if (!prfAlgorithm) { var error = new Error("Unsupported PRF OID."); error.oid = prfOid; error.supported = [ "hmacWithSHA1", "hmacWithSHA224", "hmacWithSHA256", "hmacWithSHA384", "hmacWithSHA512" ]; throw error; } } return prfAlgorithmToMessageDigest(prfAlgorithm); } function prfAlgorithmToMessageDigest(prfAlgorithm) { var factory = forge3.md; switch (prfAlgorithm) { case "hmacWithSHA224": factory = forge3.md.sha512; case "hmacWithSHA1": case "hmacWithSHA256": case "hmacWithSHA384": case "hmacWithSHA512": prfAlgorithm = prfAlgorithm.substr(8).toLowerCase(); break; default: var error = new Error("Unsupported PRF algorithm."); error.algorithm = prfAlgorithm; error.supported = [ "hmacWithSHA1", "hmacWithSHA224", "hmacWithSHA256", "hmacWithSHA384", "hmacWithSHA512" ]; throw error; } if (!factory || !(prfAlgorithm in factory)) { throw new Error("Unknown hash algorithm: " + prfAlgorithm); } return factory[prfAlgorithm].create(); } function createPbkdf2Params(salt, countBytes, dkLen, prfAlgorithm) { var params = asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OCTETSTRING, false, salt), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.INTEGER, false, countBytes.getBytes()) ]); if (prfAlgorithm !== "hmacWithSHA1") { params.value.push(asn1.create(asn1.Class.UNIVERSAL, asn1.Type.INTEGER, false, forge3.util.hexToBytes(dkLen.toString(16))), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OID, false, asn1.oidToDer(pki2.oids[prfAlgorithm]).getBytes()), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.NULL, false, "") ])); } return params; } } }); var require_pkcs7asn1 = __commonJS({ "node_modules/node-forge/lib/pkcs7asn1.js"(exports2, module2) { var forge3 = require_forge(); require_asn1(); require_util(); var asn1 = forge3.asn1; var p7v = module2.exports = forge3.pkcs7asn1 = forge3.pkcs7asn1 || {}; forge3.pkcs7 = forge3.pkcs7 || {}; forge3.pkcs7.asn1 = p7v; var contentInfoValidator = { name: "ContentInfo", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, value: [{ name: "ContentInfo.ContentType", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.OID, constructed: false, capture: "contentType" }, { name: "ContentInfo.content", tagClass: asn1.Class.CONTEXT_SPECIFIC, type: 0, constructed: true, optional: true, captureAsn1: "content" }] }; p7v.contentInfoValidator = contentInfoValidator; var encryptedContentInfoValidator = { name: "EncryptedContentInfo", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, value: [{ name: "EncryptedContentInfo.contentType", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.OID, constructed: false, capture: "contentType" }, { name: "EncryptedContentInfo.contentEncryptionAlgorithm", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, value: [{ name: "EncryptedContentInfo.contentEncryptionAlgorithm.algorithm", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.OID, constructed: false, capture: "encAlgorithm" }, { name: "EncryptedContentInfo.contentEncryptionAlgorithm.parameter", tagClass: asn1.Class.UNIVERSAL, captureAsn1: "encParameter" }] }, { name: "EncryptedContentInfo.encryptedContent", tagClass: asn1.Class.CONTEXT_SPECIFIC, type: 0, capture: "encryptedContent", captureAsn1: "encryptedContentAsn1" }] }; p7v.envelopedDataValidator = { name: "EnvelopedData", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, value: [{ name: "EnvelopedData.Version", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.INTEGER, constructed: false, capture: "version" }, { name: "EnvelopedData.RecipientInfos", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SET, constructed: true, captureAsn1: "recipientInfos" }].concat(encryptedContentInfoValidator) }; p7v.encryptedDataValidator = { name: "EncryptedData", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, value: [{ name: "EncryptedData.Version", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.INTEGER, constructed: false, capture: "version" }].concat(encryptedContentInfoValidator) }; var signerValidator = { name: "SignerInfo", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, value: [{ name: "SignerInfo.version", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.INTEGER, constructed: false }, { name: "SignerInfo.issuerAndSerialNumber", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, value: [{ name: "SignerInfo.issuerAndSerialNumber.issuer", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, captureAsn1: "issuer" }, { name: "SignerInfo.issuerAndSerialNumber.serialNumber", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.INTEGER, constructed: false, capture: "serial" }] }, { name: "SignerInfo.digestAlgorithm", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, value: [{ name: "SignerInfo.digestAlgorithm.algorithm", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.OID, constructed: false, capture: "digestAlgorithm" }, { name: "SignerInfo.digestAlgorithm.parameter", tagClass: asn1.Class.UNIVERSAL, constructed: false, captureAsn1: "digestParameter", optional: true }] }, { name: "SignerInfo.authenticatedAttributes", tagClass: asn1.Class.CONTEXT_SPECIFIC, type: 0, constructed: true, optional: true, capture: "authenticatedAttributes" }, { name: "SignerInfo.digestEncryptionAlgorithm", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, capture: "signatureAlgorithm" }, { name: "SignerInfo.encryptedDigest", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.OCTETSTRING, constructed: false, capture: "signature" }, { name: "SignerInfo.unauthenticatedAttributes", tagClass: asn1.Class.CONTEXT_SPECIFIC, type: 1, constructed: true, optional: true, capture: "unauthenticatedAttributes" }] }; p7v.signedDataValidator = { name: "SignedData", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, value: [ { name: "SignedData.Version", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.INTEGER, constructed: false, capture: "version" }, { name: "SignedData.DigestAlgorithms", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SET, constructed: true, captureAsn1: "digestAlgorithms" }, contentInfoValidator, { name: "SignedData.Certificates", tagClass: asn1.Class.CONTEXT_SPECIFIC, type: 0, optional: true, captureAsn1: "certificates" }, { name: "SignedData.CertificateRevocationLists", tagClass: asn1.Class.CONTEXT_SPECIFIC, type: 1, optional: true, captureAsn1: "crls" }, { name: "SignedData.SignerInfos", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SET, capture: "signerInfos", optional: true, value: [signerValidator] } ] }; p7v.recipientInfoValidator = { name: "RecipientInfo", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, value: [{ name: "RecipientInfo.version", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.INTEGER, constructed: false, capture: "version" }, { name: "RecipientInfo.issuerAndSerial", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, value: [{ name: "RecipientInfo.issuerAndSerial.issuer", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, captureAsn1: "issuer" }, { name: "RecipientInfo.issuerAndSerial.serialNumber", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.INTEGER, constructed: false, capture: "serial" }] }, { name: "RecipientInfo.keyEncryptionAlgorithm", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, value: [{ name: "RecipientInfo.keyEncryptionAlgorithm.algorithm", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.OID, constructed: false, capture: "encAlgorithm" }, { name: "RecipientInfo.keyEncryptionAlgorithm.parameter", tagClass: asn1.Class.UNIVERSAL, constructed: false, captureAsn1: "encParameter", optional: true }] }, { name: "RecipientInfo.encryptedKey", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.OCTETSTRING, constructed: false, capture: "encKey" }] }; } }); var require_mgf1 = __commonJS({ "node_modules/node-forge/lib/mgf1.js"(exports2, module2) { var forge3 = require_forge(); require_util(); forge3.mgf = forge3.mgf || {}; var mgf1 = module2.exports = forge3.mgf.mgf1 = forge3.mgf1 = forge3.mgf1 || {}; mgf1.create = function(md) { var mgf = { generate: function(seed, maskLen) { var t = new forge3.util.ByteBuffer(); var len = Math.ceil(maskLen / md.digestLength); for (var i = 0; i < len; i++) { var c = new forge3.util.ByteBuffer(); c.putInt32(i); md.start(); md.update(seed + c.getBytes()); t.putBuffer(md.digest()); } t.truncate(t.length() - maskLen); return t.getBytes(); } }; return mgf; }; } }); var require_mgf = __commonJS({ "node_modules/node-forge/lib/mgf.js"(exports2, module2) { var forge3 = require_forge(); require_mgf1(); module2.exports = forge3.mgf = forge3.mgf || {}; forge3.mgf.mgf1 = forge3.mgf1; } }); var require_pss = __commonJS({ "node_modules/node-forge/lib/pss.js"(exports2, module2) { var forge3 = require_forge(); require_random(); require_util(); var pss = module2.exports = forge3.pss = forge3.pss || {}; pss.create = function(options) { if (arguments.length === 3) { options = { md: arguments[0], mgf: arguments[1], saltLength: arguments[2] }; } var hash = options.md; var mgf = options.mgf; var hLen = hash.digestLength; var salt_ = options.salt || null; if (typeof salt_ === "string") { salt_ = forge3.util.createBuffer(salt_); } var sLen; if ("saltLength" in options) { sLen = options.saltLength; } else if (salt_ !== null) { sLen = salt_.length(); } else { throw new Error("Salt length not specified or specific salt not given."); } if (salt_ !== null && salt_.length() !== sLen) { throw new Error("Given salt length does not match length of given salt."); } var prng = options.prng || forge3.random; var pssobj = {}; pssobj.encode = function(md, modBits) { var i; var emBits = modBits - 1; var emLen = Math.ceil(emBits / 8); var mHash = md.digest().getBytes(); if (emLen < hLen + sLen + 2) { throw new Error("Message is too long to encrypt."); } var salt; if (salt_ === null) { salt = prng.getBytesSync(sLen); } else { salt = salt_.bytes(); } var m_ = new forge3.util.ByteBuffer(); m_.fillWithByte(0, 8); m_.putBytes(mHash); m_.putBytes(salt); hash.start(); hash.update(m_.getBytes()); var h = hash.digest().getBytes(); var ps = new forge3.util.ByteBuffer(); ps.fillWithByte(0, emLen - sLen - hLen - 2); ps.putByte(1); ps.putBytes(salt); var db = ps.getBytes(); var maskLen = emLen - hLen - 1; var dbMask = mgf.generate(h, maskLen); var maskedDB = ""; for (i = 0; i < maskLen; i++) { maskedDB += String.fromCharCode(db.charCodeAt(i) ^ dbMask.charCodeAt(i)); } var mask = 65280 >> 8 * emLen - emBits & 255; maskedDB = String.fromCharCode(maskedDB.charCodeAt(0) & ~mask) + maskedDB.substr(1); return maskedDB + h + String.fromCharCode(188); }; pssobj.verify = function(mHash, em, modBits) { var i; var emBits = modBits - 1; var emLen = Math.ceil(emBits / 8); em = em.substr(-emLen); if (emLen < hLen + sLen + 2) { throw new Error("Inconsistent parameters to PSS signature verification."); } if (em.charCodeAt(emLen - 1) !== 188) { throw new Error("Encoded message does not end in 0xBC."); } var maskLen = emLen - hLen - 1; var maskedDB = em.substr(0, maskLen); var h = em.substr(maskLen, hLen); var mask = 65280 >> 8 * emLen - emBits & 255; if ((maskedDB.charCodeAt(0) & mask) !== 0) { throw new Error("Bits beyond keysize not zero as expected."); } var dbMask = mgf.generate(h, maskLen); var db = ""; for (i = 0; i < maskLen; i++) { db += String.fromCharCode(maskedDB.charCodeAt(i) ^ dbMask.charCodeAt(i)); } db = String.fromCharCode(db.charCodeAt(0) & ~mask) + db.substr(1); var checkLen = emLen - hLen - sLen - 2; for (i = 0; i < checkLen; i++) { if (db.charCodeAt(i) !== 0) { throw new Error("Leftmost octets not zero as expected"); } } if (db.charCodeAt(checkLen) !== 1) { throw new Error("Inconsistent PSS signature, 0x01 marker not found"); } var salt = db.substr(-sLen); var m_ = new forge3.util.ByteBuffer(); m_.fillWithByte(0, 8); m_.putBytes(mHash); m_.putBytes(salt); hash.start(); hash.update(m_.getBytes()); var h_ = hash.digest().getBytes(); return h === h_; }; return pssobj; }; } }); var require_x509 = __commonJS({ "node_modules/node-forge/lib/x509.js"(exports2, module2) { var forge3 = require_forge(); require_aes(); require_asn1(); require_des(); require_md(); require_mgf(); require_oids(); require_pem(); require_pss(); require_rsa(); require_util(); var asn1 = forge3.asn1; var pki2 = module2.exports = forge3.pki = forge3.pki || {}; var oids = pki2.oids; var _shortNames = {}; _shortNames["CN"] = oids["commonName"]; _shortNames["commonName"] = "CN"; _shortNames["C"] = oids["countryName"]; _shortNames["countryName"] = "C"; _shortNames["L"] = oids["localityName"]; _shortNames["localityName"] = "L"; _shortNames["ST"] = oids["stateOrProvinceName"]; _shortNames["stateOrProvinceName"] = "ST"; _shortNames["O"] = oids["organizationName"]; _shortNames["organizationName"] = "O"; _shortNames["OU"] = oids["organizationalUnitName"]; _shortNames["organizationalUnitName"] = "OU"; _shortNames["E"] = oids["emailAddress"]; _shortNames["emailAddress"] = "E"; var publicKeyValidator = forge3.pki.rsa.publicKeyValidator; var x509CertificateValidator = { name: "Certificate", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, value: [{ name: "Certificate.TBSCertificate", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, captureAsn1: "tbsCertificate", value: [ { name: "Certificate.TBSCertificate.version", tagClass: asn1.Class.CONTEXT_SPECIFIC, type: 0, constructed: true, optional: true, value: [{ name: "Certificate.TBSCertificate.version.integer", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.INTEGER, constructed: false, capture: "certVersion" }] }, { name: "Certificate.TBSCertificate.serialNumber", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.INTEGER, constructed: false, capture: "certSerialNumber" }, { name: "Certificate.TBSCertificate.signature", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, value: [{ name: "Certificate.TBSCertificate.signature.algorithm", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.OID, constructed: false, capture: "certinfoSignatureOid" }, { name: "Certificate.TBSCertificate.signature.parameters", tagClass: asn1.Class.UNIVERSAL, optional: true, captureAsn1: "certinfoSignatureParams" }] }, { name: "Certificate.TBSCertificate.issuer", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, captureAsn1: "certIssuer" }, { name: "Certificate.TBSCertificate.validity", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, value: [{ name: "Certificate.TBSCertificate.validity.notBefore (utc)", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.UTCTIME, constructed: false, optional: true, capture: "certValidity1UTCTime" }, { name: "Certificate.TBSCertificate.validity.notBefore (generalized)", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.GENERALIZEDTIME, constructed: false, optional: true, capture: "certValidity2GeneralizedTime" }, { name: "Certificate.TBSCertificate.validity.notAfter (utc)", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.UTCTIME, constructed: false, optional: true, capture: "certValidity3UTCTime" }, { name: "Certificate.TBSCertificate.validity.notAfter (generalized)", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.GENERALIZEDTIME, constructed: false, optional: true, capture: "certValidity4GeneralizedTime" }] }, { name: "Certificate.TBSCertificate.subject", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, captureAsn1: "certSubject" }, publicKeyValidator, { name: "Certificate.TBSCertificate.issuerUniqueID", tagClass: asn1.Class.CONTEXT_SPECIFIC, type: 1, constructed: true, optional: true, value: [{ name: "Certificate.TBSCertificate.issuerUniqueID.id", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.BITSTRING, constructed: false, captureBitStringValue: "certIssuerUniqueId" }] }, { name: "Certificate.TBSCertificate.subjectUniqueID", tagClass: asn1.Class.CONTEXT_SPECIFIC, type: 2, constructed: true, optional: true, value: [{ name: "Certificate.TBSCertificate.subjectUniqueID.id", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.BITSTRING, constructed: false, captureBitStringValue: "certSubjectUniqueId" }] }, { name: "Certificate.TBSCertificate.extensions", tagClass: asn1.Class.CONTEXT_SPECIFIC, type: 3, constructed: true, captureAsn1: "certExtensions", optional: true } ] }, { name: "Certificate.signatureAlgorithm", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, value: [{ name: "Certificate.signatureAlgorithm.algorithm", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.OID, constructed: false, capture: "certSignatureOid" }, { name: "Certificate.TBSCertificate.signature.parameters", tagClass: asn1.Class.UNIVERSAL, optional: true, captureAsn1: "certSignatureParams" }] }, { name: "Certificate.signatureValue", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.BITSTRING, constructed: false, captureBitStringValue: "certSignature" }] }; var rsassaPssParameterValidator = { name: "rsapss", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, value: [{ name: "rsapss.hashAlgorithm", tagClass: asn1.Class.CONTEXT_SPECIFIC, type: 0, constructed: true, value: [{ name: "rsapss.hashAlgorithm.AlgorithmIdentifier", tagClass: asn1.Class.UNIVERSAL, type: asn1.Class.SEQUENCE, constructed: true, optional: true, value: [{ name: "rsapss.hashAlgorithm.AlgorithmIdentifier.algorithm", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.OID, constructed: false, capture: "hashOid" }] }] }, { name: "rsapss.maskGenAlgorithm", tagClass: asn1.Class.CONTEXT_SPECIFIC, type: 1, constructed: true, value: [{ name: "rsapss.maskGenAlgorithm.AlgorithmIdentifier", tagClass: asn1.Class.UNIVERSAL, type: asn1.Class.SEQUENCE, constructed: true, optional: true, value: [{ name: "rsapss.maskGenAlgorithm.AlgorithmIdentifier.algorithm", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.OID, constructed: false, capture: "maskGenOid" }, { name: "rsapss.maskGenAlgorithm.AlgorithmIdentifier.params", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, value: [{ name: "rsapss.maskGenAlgorithm.AlgorithmIdentifier.params.algorithm", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.OID, constructed: false, capture: "maskGenHashOid" }] }] }] }, { name: "rsapss.saltLength", tagClass: asn1.Class.CONTEXT_SPECIFIC, type: 2, optional: true, value: [{ name: "rsapss.saltLength.saltLength", tagClass: asn1.Class.UNIVERSAL, type: asn1.Class.INTEGER, constructed: false, capture: "saltLength" }] }, { name: "rsapss.trailerField", tagClass: asn1.Class.CONTEXT_SPECIFIC, type: 3, optional: true, value: [{ name: "rsapss.trailer.trailer", tagClass: asn1.Class.UNIVERSAL, type: asn1.Class.INTEGER, constructed: false, capture: "trailer" }] }] }; var certificationRequestInfoValidator = { name: "CertificationRequestInfo", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, captureAsn1: "certificationRequestInfo", value: [ { name: "CertificationRequestInfo.integer", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.INTEGER, constructed: false, capture: "certificationRequestInfoVersion" }, { name: "CertificationRequestInfo.subject", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, captureAsn1: "certificationRequestInfoSubject" }, publicKeyValidator, { name: "CertificationRequestInfo.attributes", tagClass: asn1.Class.CONTEXT_SPECIFIC, type: 0, constructed: true, optional: true, capture: "certificationRequestInfoAttributes", value: [{ name: "CertificationRequestInfo.attributes", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, value: [{ name: "CertificationRequestInfo.attributes.type", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.OID, constructed: false }, { name: "CertificationRequestInfo.attributes.value", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SET, constructed: true }] }] } ] }; var certificationRequestValidator = { name: "CertificationRequest", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, captureAsn1: "csr", value: [ certificationRequestInfoValidator, { name: "CertificationRequest.signatureAlgorithm", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, value: [{ name: "CertificationRequest.signatureAlgorithm.algorithm", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.OID, constructed: false, capture: "csrSignatureOid" }, { name: "CertificationRequest.signatureAlgorithm.parameters", tagClass: asn1.Class.UNIVERSAL, optional: true, captureAsn1: "csrSignatureParams" }] }, { name: "CertificationRequest.signature", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.BITSTRING, constructed: false, captureBitStringValue: "csrSignature" } ] }; pki2.RDNAttributesAsArray = function(rdn, md) { var rval = []; var set, attr, obj; for (var si = 0; si < rdn.value.length; ++si) { set = rdn.value[si]; for (var i = 0; i < set.value.length; ++i) { obj = {}; attr = set.value[i]; obj.type = asn1.derToOid(attr.value[0].value); obj.value = attr.value[1].value; obj.valueTagClass = attr.value[1].type; if (obj.type in oids) { obj.name = oids[obj.type]; if (obj.name in _shortNames) { obj.shortName = _shortNames[obj.name]; } } if (md) { md.update(obj.type); md.update(obj.value); } rval.push(obj); } } return rval; }; pki2.CRIAttributesAsArray = function(attributes) { var rval = []; for (var si = 0; si < attributes.length; ++si) { var seq = attributes[si]; var type = asn1.derToOid(seq.value[0].value); var values = seq.value[1].value; for (var vi = 0; vi < values.length; ++vi) { var obj = {}; obj.type = type; obj.value = values[vi].value; obj.valueTagClass = values[vi].type; if (obj.type in oids) { obj.name = oids[obj.type]; if (obj.name in _shortNames) { obj.shortName = _shortNames[obj.name]; } } if (obj.type === oids.extensionRequest) { obj.extensions = []; for (var ei = 0; ei < obj.value.length; ++ei) { obj.extensions.push(pki2.certificateExtensionFromAsn1(obj.value[ei])); } } rval.push(obj); } } return rval; }; function _getAttribute(obj, options) { if (typeof options === "string") { options = { shortName: options }; } var rval = null; var attr; for (var i = 0; rval === null && i < obj.attributes.length; ++i) { attr = obj.attributes[i]; if (options.type && options.type === attr.type) { rval = attr; } else if (options.name && options.name === attr.name) { rval = attr; } else if (options.shortName && options.shortName === attr.shortName) { rval = attr; } } return rval; } var _readSignatureParameters = function(oid, obj, fillDefaults) { var params = {}; if (oid !== oids["RSASSA-PSS"]) { return params; } if (fillDefaults) { params = { hash: { algorithmOid: oids["sha1"] }, mgf: { algorithmOid: oids["mgf1"], hash: { algorithmOid: oids["sha1"] } }, saltLength: 20 }; } var capture = {}; var errors = []; if (!asn1.validate(obj, rsassaPssParameterValidator, capture, errors)) { var error = new Error("Cannot read RSASSA-PSS parameter block."); error.errors = errors; throw error; } if (capture.hashOid !== void 0) { params.hash = params.hash || {}; params.hash.algorithmOid = asn1.derToOid(capture.hashOid); } if (capture.maskGenOid !== void 0) { params.mgf = params.mgf || {}; params.mgf.algorithmOid = asn1.derToOid(capture.maskGenOid); params.mgf.hash = params.mgf.hash || {}; params.mgf.hash.algorithmOid = asn1.derToOid(capture.maskGenHashOid); } if (capture.saltLength !== void 0) { params.saltLength = capture.saltLength.charCodeAt(0); } return params; }; var _createSignatureDigest = function(options) { switch (oids[options.signatureOid]) { case "sha1WithRSAEncryption": case "sha1WithRSASignature": return forge3.md.sha1.create(); case "md5WithRSAEncryption": return forge3.md.md5.create(); case "sha256WithRSAEncryption": return forge3.md.sha256.create(); case "sha384WithRSAEncryption": return forge3.md.sha384.create(); case "sha512WithRSAEncryption": return forge3.md.sha512.create(); case "RSASSA-PSS": return forge3.md.sha256.create(); default: var error = new Error("Could not compute " + options.type + " digest. Unknown signature OID."); error.signatureOid = options.signatureOid; throw error; } }; var _verifySignature = function(options) { var cert = options.certificate; var scheme; switch (cert.signatureOid) { case oids.sha1WithRSAEncryption: case oids.sha1WithRSASignature: break; case oids["RSASSA-PSS"]: var hash, mgf; hash = oids[cert.signatureParameters.mgf.hash.algorithmOid]; if (hash === void 0 || forge3.md[hash] === void 0) { var error = new Error("Unsupported MGF hash function."); error.oid = cert.signatureParameters.mgf.hash.algorithmOid; error.name = hash; throw error; } mgf = oids[cert.signatureParameters.mgf.algorithmOid]; if (mgf === void 0 || forge3.mgf[mgf] === void 0) { var error = new Error("Unsupported MGF function."); error.oid = cert.signatureParameters.mgf.algorithmOid; error.name = mgf; throw error; } mgf = forge3.mgf[mgf].create(forge3.md[hash].create()); hash = oids[cert.signatureParameters.hash.algorithmOid]; if (hash === void 0 || forge3.md[hash] === void 0) { var error = new Error("Unsupported RSASSA-PSS hash function."); error.oid = cert.signatureParameters.hash.algorithmOid; error.name = hash; throw error; } scheme = forge3.pss.create(forge3.md[hash].create(), mgf, cert.signatureParameters.saltLength); break; } return cert.publicKey.verify(options.md.digest().getBytes(), options.signature, scheme); }; pki2.certificateFromPem = function(pem, computeHash, strict) { var msg = forge3.pem.decode(pem)[0]; if (msg.type !== "CERTIFICATE" && msg.type !== "X509 CERTIFICATE" && msg.type !== "TRUSTED CERTIFICATE") { var error = new Error('Could not convert certificate from PEM; PEM header type is not "CERTIFICATE", "X509 CERTIFICATE", or "TRUSTED CERTIFICATE".'); error.headerType = msg.type; throw error; } if (msg.procType && msg.procType.type === "ENCRYPTED") { throw new Error("Could not convert certificate from PEM; PEM is encrypted."); } var obj = asn1.fromDer(msg.body, strict); return pki2.certificateFromAsn1(obj, computeHash); }; pki2.certificateToPem = function(cert, maxline) { var msg = { type: "CERTIFICATE", body: asn1.toDer(pki2.certificateToAsn1(cert)).getBytes() }; return forge3.pem.encode(msg, { maxline }); }; pki2.publicKeyFromPem = function(pem) { var msg = forge3.pem.decode(pem)[0]; if (msg.type !== "PUBLIC KEY" && msg.type !== "RSA PUBLIC KEY") { var error = new Error('Could not convert public key from PEM; PEM header type is not "PUBLIC KEY" or "RSA PUBLIC KEY".'); error.headerType = msg.type; throw error; } if (msg.procType && msg.procType.type === "ENCRYPTED") { throw new Error("Could not convert public key from PEM; PEM is encrypted."); } var obj = asn1.fromDer(msg.body); return pki2.publicKeyFromAsn1(obj); }; pki2.publicKeyToPem = function(key, maxline) { var msg = { type: "PUBLIC KEY", body: asn1.toDer(pki2.publicKeyToAsn1(key)).getBytes() }; return forge3.pem.encode(msg, { maxline }); }; pki2.publicKeyToRSAPublicKeyPem = function(key, maxline) { var msg = { type: "RSA PUBLIC KEY", body: asn1.toDer(pki2.publicKeyToRSAPublicKey(key)).getBytes() }; return forge3.pem.encode(msg, { maxline }); }; pki2.getPublicKeyFingerprint = function(key, options) { options = options || {}; var md = options.md || forge3.md.sha1.create(); var type = options.type || "RSAPublicKey"; var bytes; switch (type) { case "RSAPublicKey": bytes = asn1.toDer(pki2.publicKeyToRSAPublicKey(key)).getBytes(); break; case "SubjectPublicKeyInfo": bytes = asn1.toDer(pki2.publicKeyToAsn1(key)).getBytes(); break; default: throw new Error('Unknown fingerprint type "' + options.type + '".'); } md.start(); md.update(bytes); var digest = md.digest(); if (options.encoding === "hex") { var hex = digest.toHex(); if (options.delimiter) { return hex.match(/.{2}/g).join(options.delimiter); } return hex; } else if (options.encoding === "binary") { return digest.getBytes(); } else if (options.encoding) { throw new Error('Unknown encoding "' + options.encoding + '".'); } return digest; }; pki2.certificationRequestFromPem = function(pem, computeHash, strict) { var msg = forge3.pem.decode(pem)[0]; if (msg.type !== "CERTIFICATE REQUEST") { var error = new Error('Could not convert certification request from PEM; PEM header type is not "CERTIFICATE REQUEST".'); error.headerType = msg.type; throw error; } if (msg.procType && msg.procType.type === "ENCRYPTED") { throw new Error("Could not convert certification request from PEM; PEM is encrypted."); } var obj = asn1.fromDer(msg.body, strict); return pki2.certificationRequestFromAsn1(obj, computeHash); }; pki2.certificationRequestToPem = function(csr, maxline) { var msg = { type: "CERTIFICATE REQUEST", body: asn1.toDer(pki2.certificationRequestToAsn1(csr)).getBytes() }; return forge3.pem.encode(msg, { maxline }); }; pki2.createCertificate = function() { var cert = {}; cert.version = 2; cert.serialNumber = "00"; cert.signatureOid = null; cert.signature = null; cert.siginfo = {}; cert.siginfo.algorithmOid = null; cert.validity = {}; cert.validity.notBefore = new Date(); cert.validity.notAfter = new Date(); cert.issuer = {}; cert.issuer.getField = function(sn) { return _getAttribute(cert.issuer, sn); }; cert.issuer.addField = function(attr) { _fillMissingFields([attr]); cert.issuer.attributes.push(attr); }; cert.issuer.attributes = []; cert.issuer.hash = null; cert.subject = {}; cert.subject.getField = function(sn) { return _getAttribute(cert.subject, sn); }; cert.subject.addField = function(attr) { _fillMissingFields([attr]); cert.subject.attributes.push(attr); }; cert.subject.attributes = []; cert.subject.hash = null; cert.extensions = []; cert.publicKey = null; cert.md = null; cert.setSubject = function(attrs, uniqueId) { _fillMissingFields(attrs); cert.subject.attributes = attrs; delete cert.subject.uniqueId; if (uniqueId) { cert.subject.uniqueId = uniqueId; } cert.subject.hash = null; }; cert.setIssuer = function(attrs, uniqueId) { _fillMissingFields(attrs); cert.issuer.attributes = attrs; delete cert.issuer.uniqueId; if (uniqueId) { cert.issuer.uniqueId = uniqueId; } cert.issuer.hash = null; }; cert.setExtensions = function(exts) { for (var i = 0; i < exts.length; ++i) { _fillMissingExtensionFields(exts[i], { cert }); } cert.extensions = exts; }; cert.getExtension = function(options) { if (typeof options === "string") { options = { name: options }; } var rval = null; var ext; for (var i = 0; rval === null && i < cert.extensions.length; ++i) { ext = cert.extensions[i]; if (options.id && ext.id === options.id) { rval = ext; } else if (options.name && ext.name === options.name) { rval = ext; } } return rval; }; cert.sign = function(key, md) { cert.md = md || forge3.md.sha1.create(); var algorithmOid = oids[cert.md.algorithm + "WithRSAEncryption"]; if (!algorithmOid) { var error = new Error("Could not compute certificate digest. Unknown message digest algorithm OID."); error.algorithm = cert.md.algorithm; throw error; } cert.signatureOid = cert.siginfo.algorithmOid = algorithmOid; cert.tbsCertificate = pki2.getTBSCertificate(cert); var bytes = asn1.toDer(cert.tbsCertificate); cert.md.update(bytes.getBytes()); cert.signature = key.sign(cert.md); }; cert.verify = function(child) { var rval = false; if (!cert.issued(child)) { var issuer = child.issuer; var subject = cert.subject; var error = new Error("The parent certificate did not issue the given child certificate; the child certificate's issuer does not match the parent's subject."); error.expectedIssuer = subject.attributes; error.actualIssuer = issuer.attributes; throw error; } var md = child.md; if (md === null) { md = _createSignatureDigest({ signatureOid: child.signatureOid, type: "certificate" }); var tbsCertificate = child.tbsCertificate || pki2.getTBSCertificate(child); var bytes = asn1.toDer(tbsCertificate); md.update(bytes.getBytes()); } if (md !== null) { rval = _verifySignature({ certificate: cert, md, signature: child.signature }); } return rval; }; cert.isIssuer = function(parent) { var rval = false; var i = cert.issuer; var s = parent.subject; if (i.hash && s.hash) { rval = i.hash === s.hash; } else if (i.attributes.length === s.attributes.length) { rval = true; var iattr, sattr; for (var n = 0; rval && n < i.attributes.length; ++n) { iattr = i.attributes[n]; sattr = s.attributes[n]; if (iattr.type !== sattr.type || iattr.value !== sattr.value) { rval = false; } } } return rval; }; cert.issued = function(child) { return child.isIssuer(cert); }; cert.generateSubjectKeyIdentifier = function() { return pki2.getPublicKeyFingerprint(cert.publicKey, { type: "RSAPublicKey" }); }; cert.verifySubjectKeyIdentifier = function() { var oid = oids["subjectKeyIdentifier"]; for (var i = 0; i < cert.extensions.length; ++i) { var ext = cert.extensions[i]; if (ext.id === oid) { var ski = cert.generateSubjectKeyIdentifier().getBytes(); return forge3.util.hexToBytes(ext.subjectKeyIdentifier) === ski; } } return false; }; return cert; }; pki2.certificateFromAsn1 = function(obj, computeHash) { var capture = {}; var errors = []; if (!asn1.validate(obj, x509CertificateValidator, capture, errors)) { var error = new Error("Cannot read X.509 certificate. ASN.1 object is not an X509v3 Certificate."); error.errors = errors; throw error; } var oid = asn1.derToOid(capture.publicKeyOid); if (oid !== pki2.oids.rsaEncryption) { throw new Error("Cannot read public key. OID is not RSA."); } var cert = pki2.createCertificate(); cert.version = capture.certVersion ? capture.certVersion.charCodeAt(0) : 0; var serial = forge3.util.createBuffer(capture.certSerialNumber); cert.serialNumber = serial.toHex(); cert.signatureOid = forge3.asn1.derToOid(capture.certSignatureOid); cert.signatureParameters = _readSignatureParameters(cert.signatureOid, capture.certSignatureParams, true); cert.siginfo.algorithmOid = forge3.asn1.derToOid(capture.certinfoSignatureOid); cert.siginfo.parameters = _readSignatureParameters(cert.siginfo.algorithmOid, capture.certinfoSignatureParams, false); cert.signature = capture.certSignature; var validity = []; if (capture.certValidity1UTCTime !== void 0) { validity.push(asn1.utcTimeToDate(capture.certValidity1UTCTime)); } if (capture.certValidity2GeneralizedTime !== void 0) { validity.push(asn1.generalizedTimeToDate(capture.certValidity2GeneralizedTime)); } if (capture.certValidity3UTCTime !== void 0) { validity.push(asn1.utcTimeToDate(capture.certValidity3UTCTime)); } if (capture.certValidity4GeneralizedTime !== void 0) { validity.push(asn1.generalizedTimeToDate(capture.certValidity4GeneralizedTime)); } if (validity.length > 2) { throw new Error("Cannot read notBefore/notAfter validity times; more than two times were provided in the certificate."); } if (validity.length < 2) { throw new Error("Cannot read notBefore/notAfter validity times; they were not provided as either UTCTime or GeneralizedTime."); } cert.validity.notBefore = validity[0]; cert.validity.notAfter = validity[1]; cert.tbsCertificate = capture.tbsCertificate; if (computeHash) { cert.md = _createSignatureDigest({ signatureOid: cert.signatureOid, type: "certificate" }); var bytes = asn1.toDer(cert.tbsCertificate); cert.md.update(bytes.getBytes()); } var imd = forge3.md.sha1.create(); var ibytes = asn1.toDer(capture.certIssuer); imd.update(ibytes.getBytes()); cert.issuer.getField = function(sn) { return _getAttribute(cert.issuer, sn); }; cert.issuer.addField = function(attr) { _fillMissingFields([attr]); cert.issuer.attributes.push(attr); }; cert.issuer.attributes = pki2.RDNAttributesAsArray(capture.certIssuer); if (capture.certIssuerUniqueId) { cert.issuer.uniqueId = capture.certIssuerUniqueId; } cert.issuer.hash = imd.digest().toHex(); var smd = forge3.md.sha1.create(); var sbytes = asn1.toDer(capture.certSubject); smd.update(sbytes.getBytes()); cert.subject.getField = function(sn) { return _getAttribute(cert.subject, sn); }; cert.subject.addField = function(attr) { _fillMissingFields([attr]); cert.subject.attributes.push(attr); }; cert.subject.attributes = pki2.RDNAttributesAsArray(capture.certSubject); if (capture.certSubjectUniqueId) { cert.subject.uniqueId = capture.certSubjectUniqueId; } cert.subject.hash = smd.digest().toHex(); if (capture.certExtensions) { cert.extensions = pki2.certificateExtensionsFromAsn1(capture.certExtensions); } else { cert.extensions = []; } cert.publicKey = pki2.publicKeyFromAsn1(capture.subjectPublicKeyInfo); return cert; }; pki2.certificateExtensionsFromAsn1 = function(exts) { var rval = []; for (var i = 0; i < exts.value.length; ++i) { var extseq = exts.value[i]; for (var ei = 0; ei < extseq.value.length; ++ei) { rval.push(pki2.certificateExtensionFromAsn1(extseq.value[ei])); } } return rval; }; pki2.certificateExtensionFromAsn1 = function(ext) { var e = {}; e.id = asn1.derToOid(ext.value[0].value); e.critical = false; if (ext.value[1].type === asn1.Type.BOOLEAN) { e.critical = ext.value[1].value.charCodeAt(0) !== 0; e.value = ext.value[2].value; } else { e.value = ext.value[1].value; } if (e.id in oids) { e.name = oids[e.id]; if (e.name === "keyUsage") { var ev = asn1.fromDer(e.value); var b2 = 0; var b3 = 0; if (ev.value.length > 1) { b2 = ev.value.charCodeAt(1); b3 = ev.value.length > 2 ? ev.value.charCodeAt(2) : 0; } e.digitalSignature = (b2 & 128) === 128; e.nonRepudiation = (b2 & 64) === 64; e.keyEncipherment = (b2 & 32) === 32; e.dataEncipherment = (b2 & 16) === 16; e.keyAgreement = (b2 & 8) === 8; e.keyCertSign = (b2 & 4) === 4; e.cRLSign = (b2 & 2) === 2; e.encipherOnly = (b2 & 1) === 1; e.decipherOnly = (b3 & 128) === 128; } else if (e.name === "basicConstraints") { var ev = asn1.fromDer(e.value); if (ev.value.length > 0 && ev.value[0].type === asn1.Type.BOOLEAN) { e.cA = ev.value[0].value.charCodeAt(0) !== 0; } else { e.cA = false; } var value = null; if (ev.value.length > 0 && ev.value[0].type === asn1.Type.INTEGER) { value = ev.value[0].value; } else if (ev.value.length > 1) { value = ev.value[1].value; } if (value !== null) { e.pathLenConstraint = asn1.derToInteger(value); } } else if (e.name === "extKeyUsage") { var ev = asn1.fromDer(e.value); for (var vi = 0; vi < ev.value.length; ++vi) { var oid = asn1.derToOid(ev.value[vi].value); if (oid in oids) { e[oids[oid]] = true; } else { e[oid] = true; } } } else if (e.name === "nsCertType") { var ev = asn1.fromDer(e.value); var b2 = 0; if (ev.value.length > 1) { b2 = ev.value.charCodeAt(1); } e.client = (b2 & 128) === 128; e.server = (b2 & 64) === 64; e.email = (b2 & 32) === 32; e.objsign = (b2 & 16) === 16; e.reserved = (b2 & 8) === 8; e.sslCA = (b2 & 4) === 4; e.emailCA = (b2 & 2) === 2; e.objCA = (b2 & 1) === 1; } else if (e.name === "subjectAltName" || e.name === "issuerAltName") { e.altNames = []; var gn; var ev = asn1.fromDer(e.value); for (var n = 0; n < ev.value.length; ++n) { gn = ev.value[n]; var altName = { type: gn.type, value: gn.value }; e.altNames.push(altName); switch (gn.type) { case 1: case 2: case 6: break; case 7: altName.ip = forge3.util.bytesToIP(gn.value); break; case 8: altName.oid = asn1.derToOid(gn.value); break; default: } } } else if (e.name === "subjectKeyIdentifier") { var ev = asn1.fromDer(e.value); e.subjectKeyIdentifier = forge3.util.bytesToHex(ev.value); } } return e; }; pki2.certificationRequestFromAsn1 = function(obj, computeHash) { var capture = {}; var errors = []; if (!asn1.validate(obj, certificationRequestValidator, capture, errors)) { var error = new Error("Cannot read PKCS#10 certificate request. ASN.1 object is not a PKCS#10 CertificationRequest."); error.errors = errors; throw error; } var oid = asn1.derToOid(capture.publicKeyOid); if (oid !== pki2.oids.rsaEncryption) { throw new Error("Cannot read public key. OID is not RSA."); } var csr = pki2.createCertificationRequest(); csr.version = capture.csrVersion ? capture.csrVersion.charCodeAt(0) : 0; csr.signatureOid = forge3.asn1.derToOid(capture.csrSignatureOid); csr.signatureParameters = _readSignatureParameters(csr.signatureOid, capture.csrSignatureParams, true); csr.siginfo.algorithmOid = forge3.asn1.derToOid(capture.csrSignatureOid); csr.siginfo.parameters = _readSignatureParameters(csr.siginfo.algorithmOid, capture.csrSignatureParams, false); csr.signature = capture.csrSignature; csr.certificationRequestInfo = capture.certificationRequestInfo; if (computeHash) { csr.md = _createSignatureDigest({ signatureOid: csr.signatureOid, type: "certification request" }); var bytes = asn1.toDer(csr.certificationRequestInfo); csr.md.update(bytes.getBytes()); } var smd = forge3.md.sha1.create(); csr.subject.getField = function(sn) { return _getAttribute(csr.subject, sn); }; csr.subject.addField = function(attr) { _fillMissingFields([attr]); csr.subject.attributes.push(attr); }; csr.subject.attributes = pki2.RDNAttributesAsArray(capture.certificationRequestInfoSubject, smd); csr.subject.hash = smd.digest().toHex(); csr.publicKey = pki2.publicKeyFromAsn1(capture.subjectPublicKeyInfo); csr.getAttribute = function(sn) { return _getAttribute(csr, sn); }; csr.addAttribute = function(attr) { _fillMissingFields([attr]); csr.attributes.push(attr); }; csr.attributes = pki2.CRIAttributesAsArray(capture.certificationRequestInfoAttributes || []); return csr; }; pki2.createCertificationRequest = function() { var csr = {}; csr.version = 0; csr.signatureOid = null; csr.signature = null; csr.siginfo = {}; csr.siginfo.algorithmOid = null; csr.subject = {}; csr.subject.getField = function(sn) { return _getAttribute(csr.subject, sn); }; csr.subject.addField = function(attr) { _fillMissingFields([attr]); csr.subject.attributes.push(attr); }; csr.subject.attributes = []; csr.subject.hash = null; csr.publicKey = null; csr.attributes = []; csr.getAttribute = function(sn) { return _getAttribute(csr, sn); }; csr.addAttribute = function(attr) { _fillMissingFields([attr]); csr.attributes.push(attr); }; csr.md = null; csr.setSubject = function(attrs) { _fillMissingFields(attrs); csr.subject.attributes = attrs; csr.subject.hash = null; }; csr.setAttributes = function(attrs) { _fillMissingFields(attrs); csr.attributes = attrs; }; csr.sign = function(key, md) { csr.md = md || forge3.md.sha1.create(); var algorithmOid = oids[csr.md.algorithm + "WithRSAEncryption"]; if (!algorithmOid) { var error = new Error("Could not compute certification request digest. Unknown message digest algorithm OID."); error.algorithm = csr.md.algorithm; throw error; } csr.signatureOid = csr.siginfo.algorithmOid = algorithmOid; csr.certificationRequestInfo = pki2.getCertificationRequestInfo(csr); var bytes = asn1.toDer(csr.certificationRequestInfo); csr.md.update(bytes.getBytes()); csr.signature = key.sign(csr.md); }; csr.verify = function() { var rval = false; var md = csr.md; if (md === null) { md = _createSignatureDigest({ signatureOid: csr.signatureOid, type: "certification request" }); var cri = csr.certificationRequestInfo || pki2.getCertificationRequestInfo(csr); var bytes = asn1.toDer(cri); md.update(bytes.getBytes()); } if (md !== null) { rval = _verifySignature({ certificate: csr, md, signature: csr.signature }); } return rval; }; return csr; }; function _dnToAsn1(obj) { var rval = asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, []); var attr, set; var attrs = obj.attributes; for (var i = 0; i < attrs.length; ++i) { attr = attrs[i]; var value = attr.value; var valueTagClass = asn1.Type.PRINTABLESTRING; if ("valueTagClass" in attr) { valueTagClass = attr.valueTagClass; if (valueTagClass === asn1.Type.UTF8) { value = forge3.util.encodeUtf8(value); } } set = asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SET, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OID, false, asn1.oidToDer(attr.type).getBytes()), asn1.create(asn1.Class.UNIVERSAL, valueTagClass, false, value) ]) ]); rval.value.push(set); } return rval; } function _fillMissingFields(attrs) { var attr; for (var i = 0; i < attrs.length; ++i) { attr = attrs[i]; if (typeof attr.name === "undefined") { if (attr.type && attr.type in pki2.oids) { attr.name = pki2.oids[attr.type]; } else if (attr.shortName && attr.shortName in _shortNames) { attr.name = pki2.oids[_shortNames[attr.shortName]]; } } if (typeof attr.type === "undefined") { if (attr.name && attr.name in pki2.oids) { attr.type = pki2.oids[attr.name]; } else { var error = new Error("Attribute type not specified."); error.attribute = attr; throw error; } } if (typeof attr.shortName === "undefined") { if (attr.name && attr.name in _shortNames) { attr.shortName = _shortNames[attr.name]; } } if (attr.type === oids.extensionRequest) { attr.valueConstructed = true; attr.valueTagClass = asn1.Type.SEQUENCE; if (!attr.value && attr.extensions) { attr.value = []; for (var ei = 0; ei < attr.extensions.length; ++ei) { attr.value.push(pki2.certificateExtensionToAsn1(_fillMissingExtensionFields(attr.extensions[ei]))); } } } if (typeof attr.value === "undefined") { var error = new Error("Attribute value not specified."); error.attribute = attr; throw error; } } } function _fillMissingExtensionFields(e, options) { options = options || {}; if (typeof e.name === "undefined") { if (e.id && e.id in pki2.oids) { e.name = pki2.oids[e.id]; } } if (typeof e.id === "undefined") { if (e.name && e.name in pki2.oids) { e.id = pki2.oids[e.name]; } else { var error = new Error("Extension ID not specified."); error.extension = e; throw error; } } if (typeof e.value !== "undefined") { return e; } if (e.name === "keyUsage") { var unused = 0; var b2 = 0; var b3 = 0; if (e.digitalSignature) { b2 |= 128; unused = 7; } if (e.nonRepudiation) { b2 |= 64; unused = 6; } if (e.keyEncipherment) { b2 |= 32; unused = 5; } if (e.dataEncipherment) { b2 |= 16; unused = 4; } if (e.keyAgreement) { b2 |= 8; unused = 3; } if (e.keyCertSign) { b2 |= 4; unused = 2; } if (e.cRLSign) { b2 |= 2; unused = 1; } if (e.encipherOnly) { b2 |= 1; unused = 0; } if (e.decipherOnly) { b3 |= 128; unused = 7; } var value = String.fromCharCode(unused); if (b3 !== 0) { value += String.fromCharCode(b2) + String.fromCharCode(b3); } else if (b2 !== 0) { value += String.fromCharCode(b2); } e.value = asn1.create(asn1.Class.UNIVERSAL, asn1.Type.BITSTRING, false, value); } else if (e.name === "basicConstraints") { e.value = asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, []); if (e.cA) { e.value.value.push(asn1.create(asn1.Class.UNIVERSAL, asn1.Type.BOOLEAN, false, String.fromCharCode(255))); } if ("pathLenConstraint" in e) { e.value.value.push(asn1.create(asn1.Class.UNIVERSAL, asn1.Type.INTEGER, false, asn1.integerToDer(e.pathLenConstraint).getBytes())); } } else if (e.name === "extKeyUsage") { e.value = asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, []); var seq = e.value.value; for (var key in e) { if (e[key] !== true) { continue; } if (key in oids) { seq.push(asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OID, false, asn1.oidToDer(oids[key]).getBytes())); } else if (key.indexOf(".") !== -1) { seq.push(asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OID, false, asn1.oidToDer(key).getBytes())); } } } else if (e.name === "nsCertType") { var unused = 0; var b2 = 0; if (e.client) { b2 |= 128; unused = 7; } if (e.server) { b2 |= 64; unused = 6; } if (e.email) { b2 |= 32; unused = 5; } if (e.objsign) { b2 |= 16; unused = 4; } if (e.reserved) { b2 |= 8; unused = 3; } if (e.sslCA) { b2 |= 4; unused = 2; } if (e.emailCA) { b2 |= 2; unused = 1; } if (e.objCA) { b2 |= 1; unused = 0; } var value = String.fromCharCode(unused); if (b2 !== 0) { value += String.fromCharCode(b2); } e.value = asn1.create(asn1.Class.UNIVERSAL, asn1.Type.BITSTRING, false, value); } else if (e.name === "subjectAltName" || e.name === "issuerAltName") { e.value = asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, []); var altName; for (var n = 0; n < e.altNames.length; ++n) { altName = e.altNames[n]; var value = altName.value; if (altName.type === 7 && altName.ip) { value = forge3.util.bytesFromIP(altName.ip); if (value === null) { var error = new Error('Extension "ip" value is not a valid IPv4 or IPv6 address.'); error.extension = e; throw error; } } else if (altName.type === 8) { if (altName.oid) { value = asn1.oidToDer(asn1.oidToDer(altName.oid)); } else { value = asn1.oidToDer(value); } } e.value.value.push(asn1.create(asn1.Class.CONTEXT_SPECIFIC, altName.type, false, value)); } } else if (e.name === "nsComment" && options.cert) { if (!/^[\x00-\x7F]*$/.test(e.comment) || e.comment.length < 1 || e.comment.length > 128) { throw new Error('Invalid "nsComment" content.'); } e.value = asn1.create(asn1.Class.UNIVERSAL, asn1.Type.IA5STRING, false, e.comment); } else if (e.name === "subjectKeyIdentifier" && options.cert) { var ski = options.cert.generateSubjectKeyIdentifier(); e.subjectKeyIdentifier = ski.toHex(); e.value = asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OCTETSTRING, false, ski.getBytes()); } else if (e.name === "authorityKeyIdentifier" && options.cert) { e.value = asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, []); var seq = e.value.value; if (e.keyIdentifier) { var keyIdentifier = e.keyIdentifier === true ? options.cert.generateSubjectKeyIdentifier().getBytes() : e.keyIdentifier; seq.push(asn1.create(asn1.Class.CONTEXT_SPECIFIC, 0, false, keyIdentifier)); } if (e.authorityCertIssuer) { var authorityCertIssuer = [ asn1.create(asn1.Class.CONTEXT_SPECIFIC, 4, true, [ _dnToAsn1(e.authorityCertIssuer === true ? options.cert.issuer : e.authorityCertIssuer) ]) ]; seq.push(asn1.create(asn1.Class.CONTEXT_SPECIFIC, 1, true, authorityCertIssuer)); } if (e.serialNumber) { var serialNumber = forge3.util.hexToBytes(e.serialNumber === true ? options.cert.serialNumber : e.serialNumber); seq.push(asn1.create(asn1.Class.CONTEXT_SPECIFIC, 2, false, serialNumber)); } } else if (e.name === "cRLDistributionPoints") { e.value = asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, []); var seq = e.value.value; var subSeq = asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, []); var fullNameGeneralNames = asn1.create(asn1.Class.CONTEXT_SPECIFIC, 0, true, []); var altName; for (var n = 0; n < e.altNames.length; ++n) { altName = e.altNames[n]; var value = altName.value; if (altName.type === 7 && altName.ip) { value = forge3.util.bytesFromIP(altName.ip); if (value === null) { var error = new Error('Extension "ip" value is not a valid IPv4 or IPv6 address.'); error.extension = e; throw error; } } else if (altName.type === 8) { if (altName.oid) { value = asn1.oidToDer(asn1.oidToDer(altName.oid)); } else { value = asn1.oidToDer(value); } } fullNameGeneralNames.value.push(asn1.create(asn1.Class.CONTEXT_SPECIFIC, altName.type, false, value)); } subSeq.value.push(asn1.create(asn1.Class.CONTEXT_SPECIFIC, 0, true, [fullNameGeneralNames])); seq.push(subSeq); } if (typeof e.value === "undefined") { var error = new Error("Extension value not specified."); error.extension = e; throw error; } return e; } function _signatureParametersToAsn1(oid, params) { switch (oid) { case oids["RSASSA-PSS"]: var parts = []; if (params.hash.algorithmOid !== void 0) { parts.push(asn1.create(asn1.Class.CONTEXT_SPECIFIC, 0, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OID, false, asn1.oidToDer(params.hash.algorithmOid).getBytes()), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.NULL, false, "") ]) ])); } if (params.mgf.algorithmOid !== void 0) { parts.push(asn1.create(asn1.Class.CONTEXT_SPECIFIC, 1, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OID, false, asn1.oidToDer(params.mgf.algorithmOid).getBytes()), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OID, false, asn1.oidToDer(params.mgf.hash.algorithmOid).getBytes()), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.NULL, false, "") ]) ]) ])); } if (params.saltLength !== void 0) { parts.push(asn1.create(asn1.Class.CONTEXT_SPECIFIC, 2, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.INTEGER, false, asn1.integerToDer(params.saltLength).getBytes()) ])); } return asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, parts); default: return asn1.create(asn1.Class.UNIVERSAL, asn1.Type.NULL, false, ""); } } function _CRIAttributesToAsn1(csr) { var rval = asn1.create(asn1.Class.CONTEXT_SPECIFIC, 0, true, []); if (csr.attributes.length === 0) { return rval; } var attrs = csr.attributes; for (var i = 0; i < attrs.length; ++i) { var attr = attrs[i]; var value = attr.value; var valueTagClass = asn1.Type.UTF8; if ("valueTagClass" in attr) { valueTagClass = attr.valueTagClass; } if (valueTagClass === asn1.Type.UTF8) { value = forge3.util.encodeUtf8(value); } var valueConstructed = false; if ("valueConstructed" in attr) { valueConstructed = attr.valueConstructed; } var seq = asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OID, false, asn1.oidToDer(attr.type).getBytes()), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SET, true, [ asn1.create(asn1.Class.UNIVERSAL, valueTagClass, valueConstructed, value) ]) ]); rval.value.push(seq); } return rval; } var jan_1_1950 = new Date("1950-01-01T00:00:00Z"); var jan_1_2050 = new Date("2050-01-01T00:00:00Z"); function _dateToAsn1(date) { if (date >= jan_1_1950 && date < jan_1_2050) { return asn1.create(asn1.Class.UNIVERSAL, asn1.Type.UTCTIME, false, asn1.dateToUtcTime(date)); } else { return asn1.create(asn1.Class.UNIVERSAL, asn1.Type.GENERALIZEDTIME, false, asn1.dateToGeneralizedTime(date)); } } pki2.getTBSCertificate = function(cert) { var notBefore = _dateToAsn1(cert.validity.notBefore); var notAfter = _dateToAsn1(cert.validity.notAfter); var tbs = asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.CONTEXT_SPECIFIC, 0, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.INTEGER, false, asn1.integerToDer(cert.version).getBytes()) ]), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.INTEGER, false, forge3.util.hexToBytes(cert.serialNumber)), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OID, false, asn1.oidToDer(cert.siginfo.algorithmOid).getBytes()), _signatureParametersToAsn1(cert.siginfo.algorithmOid, cert.siginfo.parameters) ]), _dnToAsn1(cert.issuer), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ notBefore, notAfter ]), _dnToAsn1(cert.subject), pki2.publicKeyToAsn1(cert.publicKey) ]); if (cert.issuer.uniqueId) { tbs.value.push(asn1.create(asn1.Class.CONTEXT_SPECIFIC, 1, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.BITSTRING, false, String.fromCharCode(0) + cert.issuer.uniqueId) ])); } if (cert.subject.uniqueId) { tbs.value.push(asn1.create(asn1.Class.CONTEXT_SPECIFIC, 2, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.BITSTRING, false, String.fromCharCode(0) + cert.subject.uniqueId) ])); } if (cert.extensions.length > 0) { tbs.value.push(pki2.certificateExtensionsToAsn1(cert.extensions)); } return tbs; }; pki2.getCertificationRequestInfo = function(csr) { var cri = asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.INTEGER, false, asn1.integerToDer(csr.version).getBytes()), _dnToAsn1(csr.subject), pki2.publicKeyToAsn1(csr.publicKey), _CRIAttributesToAsn1(csr) ]); return cri; }; pki2.distinguishedNameToAsn1 = function(dn) { return _dnToAsn1(dn); }; pki2.certificateToAsn1 = function(cert) { var tbsCertificate = cert.tbsCertificate || pki2.getTBSCertificate(cert); return asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ tbsCertificate, asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OID, false, asn1.oidToDer(cert.signatureOid).getBytes()), _signatureParametersToAsn1(cert.signatureOid, cert.signatureParameters) ]), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.BITSTRING, false, String.fromCharCode(0) + cert.signature) ]); }; pki2.certificateExtensionsToAsn1 = function(exts) { var rval = asn1.create(asn1.Class.CONTEXT_SPECIFIC, 3, true, []); var seq = asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, []); rval.value.push(seq); for (var i = 0; i < exts.length; ++i) { seq.value.push(pki2.certificateExtensionToAsn1(exts[i])); } return rval; }; pki2.certificateExtensionToAsn1 = function(ext) { var extseq = asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, []); extseq.value.push(asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OID, false, asn1.oidToDer(ext.id).getBytes())); if (ext.critical) { extseq.value.push(asn1.create(asn1.Class.UNIVERSAL, asn1.Type.BOOLEAN, false, String.fromCharCode(255))); } var value = ext.value; if (typeof ext.value !== "string") { value = asn1.toDer(value).getBytes(); } extseq.value.push(asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OCTETSTRING, false, value)); return extseq; }; pki2.certificationRequestToAsn1 = function(csr) { var cri = csr.certificationRequestInfo || pki2.getCertificationRequestInfo(csr); return asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ cri, asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OID, false, asn1.oidToDer(csr.signatureOid).getBytes()), _signatureParametersToAsn1(csr.signatureOid, csr.signatureParameters) ]), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.BITSTRING, false, String.fromCharCode(0) + csr.signature) ]); }; pki2.createCaStore = function(certs) { var caStore = { certs: {} }; caStore.getIssuer = function(cert2) { var rval = getBySubject(cert2.issuer); return rval; }; caStore.addCertificate = function(cert2) { if (typeof cert2 === "string") { cert2 = forge3.pki.certificateFromPem(cert2); } ensureSubjectHasHash(cert2.subject); if (!caStore.hasCertificate(cert2)) { if (cert2.subject.hash in caStore.certs) { var tmp = caStore.certs[cert2.subject.hash]; if (!forge3.util.isArray(tmp)) { tmp = [tmp]; } tmp.push(cert2); caStore.certs[cert2.subject.hash] = tmp; } else { caStore.certs[cert2.subject.hash] = cert2; } } }; caStore.hasCertificate = function(cert2) { if (typeof cert2 === "string") { cert2 = forge3.pki.certificateFromPem(cert2); } var match = getBySubject(cert2.subject); if (!match) { return false; } if (!forge3.util.isArray(match)) { match = [match]; } var der1 = asn1.toDer(pki2.certificateToAsn1(cert2)).getBytes(); for (var i2 = 0; i2 < match.length; ++i2) { var der2 = asn1.toDer(pki2.certificateToAsn1(match[i2])).getBytes(); if (der1 === der2) { return true; } } return false; }; caStore.listAllCertificates = function() { var certList = []; for (var hash in caStore.certs) { if (caStore.certs.hasOwnProperty(hash)) { var value = caStore.certs[hash]; if (!forge3.util.isArray(value)) { certList.push(value); } else { for (var i2 = 0; i2 < value.length; ++i2) { certList.push(value[i2]); } } } } return certList; }; caStore.removeCertificate = function(cert2) { var result; if (typeof cert2 === "string") { cert2 = forge3.pki.certificateFromPem(cert2); } ensureSubjectHasHash(cert2.subject); if (!caStore.hasCertificate(cert2)) { return null; } var match = getBySubject(cert2.subject); if (!forge3.util.isArray(match)) { result = caStore.certs[cert2.subject.hash]; delete caStore.certs[cert2.subject.hash]; return result; } var der1 = asn1.toDer(pki2.certificateToAsn1(cert2)).getBytes(); for (var i2 = 0; i2 < match.length; ++i2) { var der2 = asn1.toDer(pki2.certificateToAsn1(match[i2])).getBytes(); if (der1 === der2) { result = match[i2]; match.splice(i2, 1); } } if (match.length === 0) { delete caStore.certs[cert2.subject.hash]; } return result; }; function getBySubject(subject) { ensureSubjectHasHash(subject); return caStore.certs[subject.hash] || null; } function ensureSubjectHasHash(subject) { if (!subject.hash) { var md = forge3.md.sha1.create(); subject.attributes = pki2.RDNAttributesAsArray(_dnToAsn1(subject), md); subject.hash = md.digest().toHex(); } } if (certs) { for (var i = 0; i < certs.length; ++i) { var cert = certs[i]; caStore.addCertificate(cert); } } return caStore; }; pki2.certificateError = { bad_certificate: "forge.pki.BadCertificate", unsupported_certificate: "forge.pki.UnsupportedCertificate", certificate_revoked: "forge.pki.CertificateRevoked", certificate_expired: "forge.pki.CertificateExpired", certificate_unknown: "forge.pki.CertificateUnknown", unknown_ca: "forge.pki.UnknownCertificateAuthority" }; pki2.verifyCertificateChain = function(caStore, chain, options) { if (typeof options === "function") { options = { verify: options }; } options = options || {}; chain = chain.slice(0); var certs = chain.slice(0); var validityCheckDate = options.validityCheckDate; if (typeof validityCheckDate === "undefined") { validityCheckDate = new Date(); } var first = true; var error = null; var depth = 0; do { var cert = chain.shift(); var parent = null; var selfSigned = false; if (validityCheckDate) { if (validityCheckDate < cert.validity.notBefore || validityCheckDate > cert.validity.notAfter) { error = { message: "Certificate is not valid yet or has expired.", error: pki2.certificateError.certificate_expired, notBefore: cert.validity.notBefore, notAfter: cert.validity.notAfter, now: validityCheckDate }; } } if (error === null) { parent = chain[0] || caStore.getIssuer(cert); if (parent === null) { if (cert.isIssuer(cert)) { selfSigned = true; parent = cert; } } if (parent) { var parents = parent; if (!forge3.util.isArray(parents)) { parents = [parents]; } var verified = false; while (!verified && parents.length > 0) { parent = parents.shift(); try { verified = parent.verify(cert); } catch (ex) { } } if (!verified) { error = { message: "Certificate signature is invalid.", error: pki2.certificateError.bad_certificate }; } } if (error === null && (!parent || selfSigned) && !caStore.hasCertificate(cert)) { error = { message: "Certificate is not trusted.", error: pki2.certificateError.unknown_ca }; } } if (error === null && parent && !cert.isIssuer(parent)) { error = { message: "Certificate issuer is invalid.", error: pki2.certificateError.bad_certificate }; } if (error === null) { var se = { keyUsage: true, basicConstraints: true }; for (var i = 0; error === null && i < cert.extensions.length; ++i) { var ext = cert.extensions[i]; if (ext.critical && !(ext.name in se)) { error = { message: "Certificate has an unsupported critical extension.", error: pki2.certificateError.unsupported_certificate }; } } } if (error === null && (!first || chain.length === 0 && (!parent || selfSigned))) { var bcExt = cert.getExtension("basicConstraints"); var keyUsageExt = cert.getExtension("keyUsage"); if (keyUsageExt !== null) { if (!keyUsageExt.keyCertSign || bcExt === null) { error = { message: "Certificate keyUsage or basicConstraints conflict or indicate that the certificate is not a CA. If the certificate is the only one in the chain or isn't the first then the certificate must be a valid CA.", error: pki2.certificateError.bad_certificate }; } } if (error === null && bcExt !== null && !bcExt.cA) { error = { message: "Certificate basicConstraints indicates the certificate is not a CA.", error: pki2.certificateError.bad_certificate }; } if (error === null && keyUsageExt !== null && "pathLenConstraint" in bcExt) { var pathLen = depth - 1; if (pathLen > bcExt.pathLenConstraint) { error = { message: "Certificate basicConstraints pathLenConstraint violated.", error: pki2.certificateError.bad_certificate }; } } } var vfd = error === null ? true : error.error; var ret = options.verify ? options.verify(vfd, depth, certs) : vfd; if (ret === true) { error = null; } else { if (vfd === true) { error = { message: "The application rejected the certificate.", error: pki2.certificateError.bad_certificate }; } if (ret || ret === 0) { if (typeof ret === "object" && !forge3.util.isArray(ret)) { if (ret.message) { error.message = ret.message; } if (ret.error) { error.error = ret.error; } } else if (typeof ret === "string") { error.error = ret; } } throw error; } first = false; ++depth; } while (chain.length > 0); return true; }; } }); var require_pkcs12 = __commonJS({ "node_modules/node-forge/lib/pkcs12.js"(exports2, module2) { var forge3 = require_forge(); require_asn1(); require_hmac(); require_oids(); require_pkcs7asn1(); require_pbe(); require_random(); require_rsa(); require_sha1(); require_util(); require_x509(); var asn1 = forge3.asn1; var pki2 = forge3.pki; var p12 = module2.exports = forge3.pkcs12 = forge3.pkcs12 || {}; var contentInfoValidator = { name: "ContentInfo", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, value: [{ name: "ContentInfo.contentType", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.OID, constructed: false, capture: "contentType" }, { name: "ContentInfo.content", tagClass: asn1.Class.CONTEXT_SPECIFIC, constructed: true, captureAsn1: "content" }] }; var pfxValidator = { name: "PFX", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, value: [ { name: "PFX.version", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.INTEGER, constructed: false, capture: "version" }, contentInfoValidator, { name: "PFX.macData", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, optional: true, captureAsn1: "mac", value: [{ name: "PFX.macData.mac", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, value: [{ name: "PFX.macData.mac.digestAlgorithm", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, value: [{ name: "PFX.macData.mac.digestAlgorithm.algorithm", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.OID, constructed: false, capture: "macAlgorithm" }, { name: "PFX.macData.mac.digestAlgorithm.parameters", tagClass: asn1.Class.UNIVERSAL, captureAsn1: "macAlgorithmParameters" }] }, { name: "PFX.macData.mac.digest", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.OCTETSTRING, constructed: false, capture: "macDigest" }] }, { name: "PFX.macData.macSalt", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.OCTETSTRING, constructed: false, capture: "macSalt" }, { name: "PFX.macData.iterations", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.INTEGER, constructed: false, optional: true, capture: "macIterations" }] } ] }; var safeBagValidator = { name: "SafeBag", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, value: [{ name: "SafeBag.bagId", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.OID, constructed: false, capture: "bagId" }, { name: "SafeBag.bagValue", tagClass: asn1.Class.CONTEXT_SPECIFIC, constructed: true, captureAsn1: "bagValue" }, { name: "SafeBag.bagAttributes", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SET, constructed: true, optional: true, capture: "bagAttributes" }] }; var attributeValidator = { name: "Attribute", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, value: [{ name: "Attribute.attrId", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.OID, constructed: false, capture: "oid" }, { name: "Attribute.attrValues", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SET, constructed: true, capture: "values" }] }; var certBagValidator = { name: "CertBag", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, value: [{ name: "CertBag.certId", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.OID, constructed: false, capture: "certId" }, { name: "CertBag.certValue", tagClass: asn1.Class.CONTEXT_SPECIFIC, constructed: true, value: [{ name: "CertBag.certValue[0]", tagClass: asn1.Class.UNIVERSAL, type: asn1.Class.OCTETSTRING, constructed: false, capture: "cert" }] }] }; function _getBagsByAttribute(safeContents, attrName, attrValue, bagType) { var result = []; for (var i = 0; i < safeContents.length; i++) { for (var j = 0; j < safeContents[i].safeBags.length; j++) { var bag = safeContents[i].safeBags[j]; if (bagType !== void 0 && bag.type !== bagType) { continue; } if (attrName === null) { result.push(bag); continue; } if (bag.attributes[attrName] !== void 0 && bag.attributes[attrName].indexOf(attrValue) >= 0) { result.push(bag); } } } return result; } p12.pkcs12FromAsn1 = function(obj, strict, password) { if (typeof strict === "string") { password = strict; strict = true; } else if (strict === void 0) { strict = true; } var capture = {}; var errors = []; if (!asn1.validate(obj, pfxValidator, capture, errors)) { var error = new Error("Cannot read PKCS#12 PFX. ASN.1 object is not an PKCS#12 PFX."); error.errors = error; throw error; } var pfx = { version: capture.version.charCodeAt(0), safeContents: [], getBags: function(filter) { var rval = {}; var localKeyId; if ("localKeyId" in filter) { localKeyId = filter.localKeyId; } else if ("localKeyIdHex" in filter) { localKeyId = forge3.util.hexToBytes(filter.localKeyIdHex); } if (localKeyId === void 0 && !("friendlyName" in filter) && "bagType" in filter) { rval[filter.bagType] = _getBagsByAttribute(pfx.safeContents, null, null, filter.bagType); } if (localKeyId !== void 0) { rval.localKeyId = _getBagsByAttribute(pfx.safeContents, "localKeyId", localKeyId, filter.bagType); } if ("friendlyName" in filter) { rval.friendlyName = _getBagsByAttribute(pfx.safeContents, "friendlyName", filter.friendlyName, filter.bagType); } return rval; }, getBagsByFriendlyName: function(friendlyName, bagType) { return _getBagsByAttribute(pfx.safeContents, "friendlyName", friendlyName, bagType); }, getBagsByLocalKeyId: function(localKeyId, bagType) { return _getBagsByAttribute(pfx.safeContents, "localKeyId", localKeyId, bagType); } }; if (capture.version.charCodeAt(0) !== 3) { var error = new Error("PKCS#12 PFX of version other than 3 not supported."); error.version = capture.version.charCodeAt(0); throw error; } if (asn1.derToOid(capture.contentType) !== pki2.oids.data) { var error = new Error("Only PKCS#12 PFX in password integrity mode supported."); error.oid = asn1.derToOid(capture.contentType); throw error; } var data = capture.content.value[0]; if (data.tagClass !== asn1.Class.UNIVERSAL || data.type !== asn1.Type.OCTETSTRING) { throw new Error("PKCS#12 authSafe content data is not an OCTET STRING."); } data = _decodePkcs7Data(data); if (capture.mac) { var md = null; var macKeyBytes = 0; var macAlgorithm = asn1.derToOid(capture.macAlgorithm); switch (macAlgorithm) { case pki2.oids.sha1: md = forge3.md.sha1.create(); macKeyBytes = 20; break; case pki2.oids.sha256: md = forge3.md.sha256.create(); macKeyBytes = 32; break; case pki2.oids.sha384: md = forge3.md.sha384.create(); macKeyBytes = 48; break; case pki2.oids.sha512: md = forge3.md.sha512.create(); macKeyBytes = 64; break; case pki2.oids.md5: md = forge3.md.md5.create(); macKeyBytes = 16; break; } if (md === null) { throw new Error("PKCS#12 uses unsupported MAC algorithm: " + macAlgorithm); } var macSalt = new forge3.util.ByteBuffer(capture.macSalt); var macIterations = "macIterations" in capture ? parseInt(forge3.util.bytesToHex(capture.macIterations), 16) : 1; var macKey = p12.generateKey(password, macSalt, 3, macIterations, macKeyBytes, md); var mac = forge3.hmac.create(); mac.start(md, macKey); mac.update(data.value); var macValue = mac.getMac(); if (macValue.getBytes() !== capture.macDigest) { throw new Error("PKCS#12 MAC could not be verified. Invalid password?"); } } _decodeAuthenticatedSafe(pfx, data.value, strict, password); return pfx; }; function _decodePkcs7Data(data) { if (data.composed || data.constructed) { var value = forge3.util.createBuffer(); for (var i = 0; i < data.value.length; ++i) { value.putBytes(data.value[i].value); } data.composed = data.constructed = false; data.value = value.getBytes(); } return data; } function _decodeAuthenticatedSafe(pfx, authSafe, strict, password) { authSafe = asn1.fromDer(authSafe, strict); if (authSafe.tagClass !== asn1.Class.UNIVERSAL || authSafe.type !== asn1.Type.SEQUENCE || authSafe.constructed !== true) { throw new Error("PKCS#12 AuthenticatedSafe expected to be a SEQUENCE OF ContentInfo"); } for (var i = 0; i < authSafe.value.length; i++) { var contentInfo = authSafe.value[i]; var capture = {}; var errors = []; if (!asn1.validate(contentInfo, contentInfoValidator, capture, errors)) { var error = new Error("Cannot read ContentInfo."); error.errors = errors; throw error; } var obj = { encrypted: false }; var safeContents = null; var data = capture.content.value[0]; switch (asn1.derToOid(capture.contentType)) { case pki2.oids.data: if (data.tagClass !== asn1.Class.UNIVERSAL || data.type !== asn1.Type.OCTETSTRING) { throw new Error("PKCS#12 SafeContents Data is not an OCTET STRING."); } safeContents = _decodePkcs7Data(data).value; break; case pki2.oids.encryptedData: safeContents = _decryptSafeContents(data, password); obj.encrypted = true; break; default: var error = new Error("Unsupported PKCS#12 contentType."); error.contentType = asn1.derToOid(capture.contentType); throw error; } obj.safeBags = _decodeSafeContents(safeContents, strict, password); pfx.safeContents.push(obj); } } function _decryptSafeContents(data, password) { var capture = {}; var errors = []; if (!asn1.validate(data, forge3.pkcs7.asn1.encryptedDataValidator, capture, errors)) { var error = new Error("Cannot read EncryptedContentInfo."); error.errors = errors; throw error; } var oid = asn1.derToOid(capture.contentType); if (oid !== pki2.oids.data) { var error = new Error("PKCS#12 EncryptedContentInfo ContentType is not Data."); error.oid = oid; throw error; } oid = asn1.derToOid(capture.encAlgorithm); var cipher = pki2.pbe.getCipher(oid, capture.encParameter, password); var encryptedContentAsn1 = _decodePkcs7Data(capture.encryptedContentAsn1); var encrypted = forge3.util.createBuffer(encryptedContentAsn1.value); cipher.update(encrypted); if (!cipher.finish()) { throw new Error("Failed to decrypt PKCS#12 SafeContents."); } return cipher.output.getBytes(); } function _decodeSafeContents(safeContents, strict, password) { if (!strict && safeContents.length === 0) { return []; } safeContents = asn1.fromDer(safeContents, strict); if (safeContents.tagClass !== asn1.Class.UNIVERSAL || safeContents.type !== asn1.Type.SEQUENCE || safeContents.constructed !== true) { throw new Error("PKCS#12 SafeContents expected to be a SEQUENCE OF SafeBag."); } var res = []; for (var i = 0; i < safeContents.value.length; i++) { var safeBag = safeContents.value[i]; var capture = {}; var errors = []; if (!asn1.validate(safeBag, safeBagValidator, capture, errors)) { var error = new Error("Cannot read SafeBag."); error.errors = errors; throw error; } var bag = { type: asn1.derToOid(capture.bagId), attributes: _decodeBagAttributes(capture.bagAttributes) }; res.push(bag); var validator, decoder; var bagAsn1 = capture.bagValue.value[0]; switch (bag.type) { case pki2.oids.pkcs8ShroudedKeyBag: bagAsn1 = pki2.decryptPrivateKeyInfo(bagAsn1, password); if (bagAsn1 === null) { throw new Error("Unable to decrypt PKCS#8 ShroudedKeyBag, wrong password?"); } case pki2.oids.keyBag: try { bag.key = pki2.privateKeyFromAsn1(bagAsn1); } catch (e) { bag.key = null; bag.asn1 = bagAsn1; } continue; case pki2.oids.certBag: validator = certBagValidator; decoder = function() { if (asn1.derToOid(capture.certId) !== pki2.oids.x509Certificate) { var error2 = new Error("Unsupported certificate type, only X.509 supported."); error2.oid = asn1.derToOid(capture.certId); throw error2; } var certAsn1 = asn1.fromDer(capture.cert, strict); try { bag.cert = pki2.certificateFromAsn1(certAsn1, true); } catch (e) { bag.cert = null; bag.asn1 = certAsn1; } }; break; default: var error = new Error("Unsupported PKCS#12 SafeBag type."); error.oid = bag.type; throw error; } if (validator !== void 0 && !asn1.validate(bagAsn1, validator, capture, errors)) { var error = new Error("Cannot read PKCS#12 " + validator.name); error.errors = errors; throw error; } decoder(); } return res; } function _decodeBagAttributes(attributes) { var decodedAttrs = {}; if (attributes !== void 0) { for (var i = 0; i < attributes.length; ++i) { var capture = {}; var errors = []; if (!asn1.validate(attributes[i], attributeValidator, capture, errors)) { var error = new Error("Cannot read PKCS#12 BagAttribute."); error.errors = errors; throw error; } var oid = asn1.derToOid(capture.oid); if (pki2.oids[oid] === void 0) { continue; } decodedAttrs[pki2.oids[oid]] = []; for (var j = 0; j < capture.values.length; ++j) { decodedAttrs[pki2.oids[oid]].push(capture.values[j].value); } } } return decodedAttrs; } p12.toPkcs12Asn1 = function(key, cert, password, options) { options = options || {}; options.saltSize = options.saltSize || 8; options.count = options.count || 2048; options.algorithm = options.algorithm || options.encAlgorithm || "aes128"; if (!("useMac" in options)) { options.useMac = true; } if (!("localKeyId" in options)) { options.localKeyId = null; } if (!("generateLocalKeyId" in options)) { options.generateLocalKeyId = true; } var localKeyId = options.localKeyId; var bagAttrs; if (localKeyId !== null) { localKeyId = forge3.util.hexToBytes(localKeyId); } else if (options.generateLocalKeyId) { if (cert) { var pairedCert = forge3.util.isArray(cert) ? cert[0] : cert; if (typeof pairedCert === "string") { pairedCert = pki2.certificateFromPem(pairedCert); } var sha1 = forge3.md.sha1.create(); sha1.update(asn1.toDer(pki2.certificateToAsn1(pairedCert)).getBytes()); localKeyId = sha1.digest().getBytes(); } else { localKeyId = forge3.random.getBytes(20); } } var attrs = []; if (localKeyId !== null) { attrs.push(asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OID, false, asn1.oidToDer(pki2.oids.localKeyId).getBytes()), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SET, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OCTETSTRING, false, localKeyId) ]) ])); } if ("friendlyName" in options) { attrs.push(asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OID, false, asn1.oidToDer(pki2.oids.friendlyName).getBytes()), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SET, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.BMPSTRING, false, options.friendlyName) ]) ])); } if (attrs.length > 0) { bagAttrs = asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SET, true, attrs); } var contents = []; var chain = []; if (cert !== null) { if (forge3.util.isArray(cert)) { chain = cert; } else { chain = [cert]; } } var certSafeBags = []; for (var i = 0; i < chain.length; ++i) { cert = chain[i]; if (typeof cert === "string") { cert = pki2.certificateFromPem(cert); } var certBagAttrs = i === 0 ? bagAttrs : void 0; var certAsn1 = pki2.certificateToAsn1(cert); var certSafeBag = asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OID, false, asn1.oidToDer(pki2.oids.certBag).getBytes()), asn1.create(asn1.Class.CONTEXT_SPECIFIC, 0, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OID, false, asn1.oidToDer(pki2.oids.x509Certificate).getBytes()), asn1.create(asn1.Class.CONTEXT_SPECIFIC, 0, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OCTETSTRING, false, asn1.toDer(certAsn1).getBytes()) ]) ]) ]), certBagAttrs ]); certSafeBags.push(certSafeBag); } if (certSafeBags.length > 0) { var certSafeContents = asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, certSafeBags); var certCI = asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OID, false, asn1.oidToDer(pki2.oids.data).getBytes()), asn1.create(asn1.Class.CONTEXT_SPECIFIC, 0, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OCTETSTRING, false, asn1.toDer(certSafeContents).getBytes()) ]) ]); contents.push(certCI); } var keyBag = null; if (key !== null) { var pkAsn1 = pki2.wrapRsaPrivateKey(pki2.privateKeyToAsn1(key)); if (password === null) { keyBag = asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OID, false, asn1.oidToDer(pki2.oids.keyBag).getBytes()), asn1.create(asn1.Class.CONTEXT_SPECIFIC, 0, true, [ pkAsn1 ]), bagAttrs ]); } else { keyBag = asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OID, false, asn1.oidToDer(pki2.oids.pkcs8ShroudedKeyBag).getBytes()), asn1.create(asn1.Class.CONTEXT_SPECIFIC, 0, true, [ pki2.encryptPrivateKeyInfo(pkAsn1, password, options) ]), bagAttrs ]); } var keySafeContents = asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [keyBag]); var keyCI = asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OID, false, asn1.oidToDer(pki2.oids.data).getBytes()), asn1.create(asn1.Class.CONTEXT_SPECIFIC, 0, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OCTETSTRING, false, asn1.toDer(keySafeContents).getBytes()) ]) ]); contents.push(keyCI); } var safe = asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, contents); var macData; if (options.useMac) { var sha1 = forge3.md.sha1.create(); var macSalt = new forge3.util.ByteBuffer(forge3.random.getBytes(options.saltSize)); var count = options.count; var key = p12.generateKey(password, macSalt, 3, count, 20); var mac = forge3.hmac.create(); mac.start(sha1, key); mac.update(asn1.toDer(safe).getBytes()); var macValue = mac.getMac(); macData = asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OID, false, asn1.oidToDer(pki2.oids.sha1).getBytes()), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.NULL, false, "") ]), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OCTETSTRING, false, macValue.getBytes()) ]), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OCTETSTRING, false, macSalt.getBytes()), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.INTEGER, false, asn1.integerToDer(count).getBytes()) ]); } return asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.INTEGER, false, asn1.integerToDer(3).getBytes()), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OID, false, asn1.oidToDer(pki2.oids.data).getBytes()), asn1.create(asn1.Class.CONTEXT_SPECIFIC, 0, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OCTETSTRING, false, asn1.toDer(safe).getBytes()) ]) ]), macData ]); }; p12.generateKey = forge3.pbe.generatePkcs12Key; } }); var require_pki = __commonJS({ "node_modules/node-forge/lib/pki.js"(exports2, module2) { var forge3 = require_forge(); require_asn1(); require_oids(); require_pbe(); require_pem(); require_pbkdf2(); require_pkcs12(); require_pss(); require_rsa(); require_util(); require_x509(); var asn1 = forge3.asn1; var pki2 = module2.exports = forge3.pki = forge3.pki || {}; pki2.pemToDer = function(pem) { var msg = forge3.pem.decode(pem)[0]; if (msg.procType && msg.procType.type === "ENCRYPTED") { throw new Error("Could not convert PEM to DER; PEM is encrypted."); } return forge3.util.createBuffer(msg.body); }; pki2.privateKeyFromPem = function(pem) { var msg = forge3.pem.decode(pem)[0]; if (msg.type !== "PRIVATE KEY" && msg.type !== "RSA PRIVATE KEY") { var error = new Error('Could not convert private key from PEM; PEM header type is not "PRIVATE KEY" or "RSA PRIVATE KEY".'); error.headerType = msg.type; throw error; } if (msg.procType && msg.procType.type === "ENCRYPTED") { throw new Error("Could not convert private key from PEM; PEM is encrypted."); } var obj = asn1.fromDer(msg.body); return pki2.privateKeyFromAsn1(obj); }; pki2.privateKeyToPem = function(key, maxline) { var msg = { type: "RSA PRIVATE KEY", body: asn1.toDer(pki2.privateKeyToAsn1(key)).getBytes() }; return forge3.pem.encode(msg, { maxline }); }; pki2.privateKeyInfoToPem = function(pki3, maxline) { var msg = { type: "PRIVATE KEY", body: asn1.toDer(pki3).getBytes() }; return forge3.pem.encode(msg, { maxline }); }; } }); var require_tls = __commonJS({ "node_modules/node-forge/lib/tls.js"(exports2, module2) { var forge3 = require_forge(); require_asn1(); require_hmac(); require_md5(); require_pem(); require_pki(); require_random(); require_sha1(); require_util(); var prf_TLS1 = function(secret, label, seed, length) { var rval = forge3.util.createBuffer(); var idx = secret.length >> 1; var slen = idx + (secret.length & 1); var s1 = secret.substr(0, slen); var s2 = secret.substr(idx, slen); var ai = forge3.util.createBuffer(); var hmac = forge3.hmac.create(); seed = label + seed; var md5itr = Math.ceil(length / 16); var sha1itr = Math.ceil(length / 20); hmac.start("MD5", s1); var md5bytes = forge3.util.createBuffer(); ai.putBytes(seed); for (var i = 0; i < md5itr; ++i) { hmac.start(null, null); hmac.update(ai.getBytes()); ai.putBuffer(hmac.digest()); hmac.start(null, null); hmac.update(ai.bytes() + seed); md5bytes.putBuffer(hmac.digest()); } hmac.start("SHA1", s2); var sha1bytes = forge3.util.createBuffer(); ai.clear(); ai.putBytes(seed); for (var i = 0; i < sha1itr; ++i) { hmac.start(null, null); hmac.update(ai.getBytes()); ai.putBuffer(hmac.digest()); hmac.start(null, null); hmac.update(ai.bytes() + seed); sha1bytes.putBuffer(hmac.digest()); } rval.putBytes(forge3.util.xorBytes(md5bytes.getBytes(), sha1bytes.getBytes(), length)); return rval; }; var hmac_sha1 = function(key2, seqNum, record) { var hmac = forge3.hmac.create(); hmac.start("SHA1", key2); var b = forge3.util.createBuffer(); b.putInt32(seqNum[0]); b.putInt32(seqNum[1]); b.putByte(record.type); b.putByte(record.version.major); b.putByte(record.version.minor); b.putInt16(record.length); b.putBytes(record.fragment.bytes()); hmac.update(b.getBytes()); return hmac.digest().getBytes(); }; var deflate = function(c, record, s) { var rval = false; try { var bytes = c.deflate(record.fragment.getBytes()); record.fragment = forge3.util.createBuffer(bytes); record.length = bytes.length; rval = true; } catch (ex) { } return rval; }; var inflate = function(c, record, s) { var rval = false; try { var bytes = c.inflate(record.fragment.getBytes()); record.fragment = forge3.util.createBuffer(bytes); record.length = bytes.length; rval = true; } catch (ex) { } return rval; }; var readVector = function(b, lenBytes) { var len = 0; switch (lenBytes) { case 1: len = b.getByte(); break; case 2: len = b.getInt16(); break; case 3: len = b.getInt24(); break; case 4: len = b.getInt32(); break; } return forge3.util.createBuffer(b.getBytes(len)); }; var writeVector = function(b, lenBytes, v) { b.putInt(v.length(), lenBytes << 3); b.putBuffer(v); }; var tls = {}; tls.Versions = { TLS_1_0: { major: 3, minor: 1 }, TLS_1_1: { major: 3, minor: 2 }, TLS_1_2: { major: 3, minor: 3 } }; tls.SupportedVersions = [ tls.Versions.TLS_1_1, tls.Versions.TLS_1_0 ]; tls.Version = tls.SupportedVersions[0]; tls.MaxFragment = 16384 - 1024; tls.ConnectionEnd = { server: 0, client: 1 }; tls.PRFAlgorithm = { tls_prf_sha256: 0 }; tls.BulkCipherAlgorithm = { none: null, rc4: 0, des3: 1, aes: 2 }; tls.CipherType = { stream: 0, block: 1, aead: 2 }; tls.MACAlgorithm = { none: null, hmac_md5: 0, hmac_sha1: 1, hmac_sha256: 2, hmac_sha384: 3, hmac_sha512: 4 }; tls.CompressionMethod = { none: 0, deflate: 1 }; tls.ContentType = { change_cipher_spec: 20, alert: 21, handshake: 22, application_data: 23, heartbeat: 24 }; tls.HandshakeType = { hello_request: 0, client_hello: 1, server_hello: 2, certificate: 11, server_key_exchange: 12, certificate_request: 13, server_hello_done: 14, certificate_verify: 15, client_key_exchange: 16, finished: 20 }; tls.Alert = {}; tls.Alert.Level = { warning: 1, fatal: 2 }; tls.Alert.Description = { close_notify: 0, unexpected_message: 10, bad_record_mac: 20, decryption_failed: 21, record_overflow: 22, decompression_failure: 30, handshake_failure: 40, bad_certificate: 42, unsupported_certificate: 43, certificate_revoked: 44, certificate_expired: 45, certificate_unknown: 46, illegal_parameter: 47, unknown_ca: 48, access_denied: 49, decode_error: 50, decrypt_error: 51, export_restriction: 60, protocol_version: 70, insufficient_security: 71, internal_error: 80, user_canceled: 90, no_renegotiation: 100 }; tls.HeartbeatMessageType = { heartbeat_request: 1, heartbeat_response: 2 }; tls.CipherSuites = {}; tls.getCipherSuite = function(twoBytes) { var rval = null; for (var key2 in tls.CipherSuites) { var cs = tls.CipherSuites[key2]; if (cs.id[0] === twoBytes.charCodeAt(0) && cs.id[1] === twoBytes.charCodeAt(1)) { rval = cs; break; } } return rval; }; tls.handleUnexpected = function(c, record) { var ignore = !c.open && c.entity === tls.ConnectionEnd.client; if (!ignore) { c.error(c, { message: "Unexpected message. Received TLS record out of order.", send: true, alert: { level: tls.Alert.Level.fatal, description: tls.Alert.Description.unexpected_message } }); } }; tls.handleHelloRequest = function(c, record, length) { if (!c.handshaking && c.handshakes > 0) { tls.queue(c, tls.createAlert(c, { level: tls.Alert.Level.warning, description: tls.Alert.Description.no_renegotiation })); tls.flush(c); } c.process(); }; tls.parseHelloMessage = function(c, record, length) { var msg = null; var client = c.entity === tls.ConnectionEnd.client; if (length < 38) { c.error(c, { message: client ? "Invalid ServerHello message. Message too short." : "Invalid ClientHello message. Message too short.", send: true, alert: { level: tls.Alert.Level.fatal, description: tls.Alert.Description.illegal_parameter } }); } else { var b = record.fragment; var remaining = b.length(); msg = { version: { major: b.getByte(), minor: b.getByte() }, random: forge3.util.createBuffer(b.getBytes(32)), session_id: readVector(b, 1), extensions: [] }; if (client) { msg.cipher_suite = b.getBytes(2); msg.compression_method = b.getByte(); } else { msg.cipher_suites = readVector(b, 2); msg.compression_methods = readVector(b, 1); } remaining = length - (remaining - b.length()); if (remaining > 0) { var exts = readVector(b, 2); while (exts.length() > 0) { msg.extensions.push({ type: [exts.getByte(), exts.getByte()], data: readVector(exts, 2) }); } if (!client) { for (var i = 0; i < msg.extensions.length; ++i) { var ext = msg.extensions[i]; if (ext.type[0] === 0 && ext.type[1] === 0) { var snl = readVector(ext.data, 2); while (snl.length() > 0) { var snType = snl.getByte(); if (snType !== 0) { break; } c.session.extensions.server_name.serverNameList.push(readVector(snl, 2).getBytes()); } } } } } if (c.session.version) { if (msg.version.major !== c.session.version.major || msg.version.minor !== c.session.version.minor) { return c.error(c, { message: "TLS version change is disallowed during renegotiation.", send: true, alert: { level: tls.Alert.Level.fatal, description: tls.Alert.Description.protocol_version } }); } } if (client) { c.session.cipherSuite = tls.getCipherSuite(msg.cipher_suite); } else { var tmp = forge3.util.createBuffer(msg.cipher_suites.bytes()); while (tmp.length() > 0) { c.session.cipherSuite = tls.getCipherSuite(tmp.getBytes(2)); if (c.session.cipherSuite !== null) { break; } } } if (c.session.cipherSuite === null) { return c.error(c, { message: "No cipher suites in common.", send: true, alert: { level: tls.Alert.Level.fatal, description: tls.Alert.Description.handshake_failure }, cipherSuite: forge3.util.bytesToHex(msg.cipher_suite) }); } if (client) { c.session.compressionMethod = msg.compression_method; } else { c.session.compressionMethod = tls.CompressionMethod.none; } } return msg; }; tls.createSecurityParameters = function(c, msg) { var client = c.entity === tls.ConnectionEnd.client; var msgRandom = msg.random.bytes(); var cRandom = client ? c.session.sp.client_random : msgRandom; var sRandom = client ? msgRandom : tls.createRandom().getBytes(); c.session.sp = { entity: c.entity, prf_algorithm: tls.PRFAlgorithm.tls_prf_sha256, bulk_cipher_algorithm: null, cipher_type: null, enc_key_length: null, block_length: null, fixed_iv_length: null, record_iv_length: null, mac_algorithm: null, mac_length: null, mac_key_length: null, compression_algorithm: c.session.compressionMethod, pre_master_secret: null, master_secret: null, client_random: cRandom, server_random: sRandom }; }; tls.handleServerHello = function(c, record, length) { var msg = tls.parseHelloMessage(c, record, length); if (c.fail) { return; } if (msg.version.minor <= c.version.minor) { c.version.minor = msg.version.minor; } else { return c.error(c, { message: "Incompatible TLS version.", send: true, alert: { level: tls.Alert.Level.fatal, description: tls.Alert.Description.protocol_version } }); } c.session.version = c.version; var sessionId = msg.session_id.bytes(); if (sessionId.length > 0 && sessionId === c.session.id) { c.expect = SCC; c.session.resuming = true; c.session.sp.server_random = msg.random.bytes(); } else { c.expect = SCE; c.session.resuming = false; tls.createSecurityParameters(c, msg); } c.session.id = sessionId; c.process(); }; tls.handleClientHello = function(c, record, length) { var msg = tls.parseHelloMessage(c, record, length); if (c.fail) { return; } var sessionId = msg.session_id.bytes(); var session = null; if (c.sessionCache) { session = c.sessionCache.getSession(sessionId); if (session === null) { sessionId = ""; } else if (session.version.major !== msg.version.major || session.version.minor > msg.version.minor) { session = null; sessionId = ""; } } if (sessionId.length === 0) { sessionId = forge3.random.getBytes(32); } c.session.id = sessionId; c.session.clientHelloVersion = msg.version; c.session.sp = {}; if (session) { c.version = c.session.version = session.version; c.session.sp = session.sp; } else { var version; for (var i = 1; i < tls.SupportedVersions.length; ++i) { version = tls.SupportedVersions[i]; if (version.minor <= msg.version.minor) { break; } } c.version = { major: version.major, minor: version.minor }; c.session.version = c.version; } if (session !== null) { c.expect = CCC; c.session.resuming = true; c.session.sp.client_random = msg.random.bytes(); } else { c.expect = c.verifyClient !== false ? CCE : CKE; c.session.resuming = false; tls.createSecurityParameters(c, msg); } c.open = true; tls.queue(c, tls.createRecord(c, { type: tls.ContentType.handshake, data: tls.createServerHello(c) })); if (c.session.resuming) { tls.queue(c, tls.createRecord(c, { type: tls.ContentType.change_cipher_spec, data: tls.createChangeCipherSpec() })); c.state.pending = tls.createConnectionState(c); c.state.current.write = c.state.pending.write; tls.queue(c, tls.createRecord(c, { type: tls.ContentType.handshake, data: tls.createFinished(c) })); } else { tls.queue(c, tls.createRecord(c, { type: tls.ContentType.handshake, data: tls.createCertificate(c) })); if (!c.fail) { tls.queue(c, tls.createRecord(c, { type: tls.ContentType.handshake, data: tls.createServerKeyExchange(c) })); if (c.verifyClient !== false) { tls.queue(c, tls.createRecord(c, { type: tls.ContentType.handshake, data: tls.createCertificateRequest(c) })); } tls.queue(c, tls.createRecord(c, { type: tls.ContentType.handshake, data: tls.createServerHelloDone(c) })); } } tls.flush(c); c.process(); }; tls.handleCertificate = function(c, record, length) { if (length < 3) { return c.error(c, { message: "Invalid Certificate message. Message too short.", send: true, alert: { level: tls.Alert.Level.fatal, description: tls.Alert.Description.illegal_parameter } }); } var b = record.fragment; var msg = { certificate_list: readVector(b, 3) }; var cert, asn1; var certs = []; try { while (msg.certificate_list.length() > 0) { cert = readVector(msg.certificate_list, 3); asn1 = forge3.asn1.fromDer(cert); cert = forge3.pki.certificateFromAsn1(asn1, true); certs.push(cert); } } catch (ex) { return c.error(c, { message: "Could not parse certificate list.", cause: ex, send: true, alert: { level: tls.Alert.Level.fatal, description: tls.Alert.Description.bad_certificate } }); } var client = c.entity === tls.ConnectionEnd.client; if ((client || c.verifyClient === true) && certs.length === 0) { c.error(c, { message: client ? "No server certificate provided." : "No client certificate provided.", send: true, alert: { level: tls.Alert.Level.fatal, description: tls.Alert.Description.illegal_parameter } }); } else if (certs.length === 0) { c.expect = client ? SKE : CKE; } else { if (client) { c.session.serverCertificate = certs[0]; } else { c.session.clientCertificate = certs[0]; } if (tls.verifyCertificateChain(c, certs)) { c.expect = client ? SKE : CKE; } } c.process(); }; tls.handleServerKeyExchange = function(c, record, length) { if (length > 0) { return c.error(c, { message: "Invalid key parameters. Only RSA is supported.", send: true, alert: { level: tls.Alert.Level.fatal, description: tls.Alert.Description.unsupported_certificate } }); } c.expect = SCR; c.process(); }; tls.handleClientKeyExchange = function(c, record, length) { if (length < 48) { return c.error(c, { message: "Invalid key parameters. Only RSA is supported.", send: true, alert: { level: tls.Alert.Level.fatal, description: tls.Alert.Description.unsupported_certificate } }); } var b = record.fragment; var msg = { enc_pre_master_secret: readVector(b, 2).getBytes() }; var privateKey = null; if (c.getPrivateKey) { try { privateKey = c.getPrivateKey(c, c.session.serverCertificate); privateKey = forge3.pki.privateKeyFromPem(privateKey); } catch (ex) { c.error(c, { message: "Could not get private key.", cause: ex, send: true, alert: { level: tls.Alert.Level.fatal, description: tls.Alert.Description.internal_error } }); } } if (privateKey === null) { return c.error(c, { message: "No private key set.", send: true, alert: { level: tls.Alert.Level.fatal, description: tls.Alert.Description.internal_error } }); } try { var sp = c.session.sp; sp.pre_master_secret = privateKey.decrypt(msg.enc_pre_master_secret); var version = c.session.clientHelloVersion; if (version.major !== sp.pre_master_secret.charCodeAt(0) || version.minor !== sp.pre_master_secret.charCodeAt(1)) { throw new Error("TLS version rollback attack detected."); } } catch (ex) { sp.pre_master_secret = forge3.random.getBytes(48); } c.expect = CCC; if (c.session.clientCertificate !== null) { c.expect = CCV; } c.process(); }; tls.handleCertificateRequest = function(c, record, length) { if (length < 3) { return c.error(c, { message: "Invalid CertificateRequest. Message too short.", send: true, alert: { level: tls.Alert.Level.fatal, description: tls.Alert.Description.illegal_parameter } }); } var b = record.fragment; var msg = { certificate_types: readVector(b, 1), certificate_authorities: readVector(b, 2) }; c.session.certificateRequest = msg; c.expect = SHD; c.process(); }; tls.handleCertificateVerify = function(c, record, length) { if (length < 2) { return c.error(c, { message: "Invalid CertificateVerify. Message too short.", send: true, alert: { level: tls.Alert.Level.fatal, description: tls.Alert.Description.illegal_parameter } }); } var b = record.fragment; b.read -= 4; var msgBytes = b.bytes(); b.read += 4; var msg = { signature: readVector(b, 2).getBytes() }; var verify = forge3.util.createBuffer(); verify.putBuffer(c.session.md5.digest()); verify.putBuffer(c.session.sha1.digest()); verify = verify.getBytes(); try { var cert = c.session.clientCertificate; if (!cert.publicKey.verify(verify, msg.signature, "NONE")) { throw new Error("CertificateVerify signature does not match."); } c.session.md5.update(msgBytes); c.session.sha1.update(msgBytes); } catch (ex) { return c.error(c, { message: "Bad signature in CertificateVerify.", send: true, alert: { level: tls.Alert.Level.fatal, description: tls.Alert.Description.handshake_failure } }); } c.expect = CCC; c.process(); }; tls.handleServerHelloDone = function(c, record, length) { if (length > 0) { return c.error(c, { message: "Invalid ServerHelloDone message. Invalid length.", send: true, alert: { level: tls.Alert.Level.fatal, description: tls.Alert.Description.record_overflow } }); } if (c.serverCertificate === null) { var error = { message: "No server certificate provided. Not enough security.", send: true, alert: { level: tls.Alert.Level.fatal, description: tls.Alert.Description.insufficient_security } }; var depth = 0; var ret = c.verify(c, error.alert.description, depth, []); if (ret !== true) { if (ret || ret === 0) { if (typeof ret === "object" && !forge3.util.isArray(ret)) { if (ret.message) { error.message = ret.message; } if (ret.alert) { error.alert.description = ret.alert; } } else if (typeof ret === "number") { error.alert.description = ret; } } return c.error(c, error); } } if (c.session.certificateRequest !== null) { record = tls.createRecord(c, { type: tls.ContentType.handshake, data: tls.createCertificate(c) }); tls.queue(c, record); } record = tls.createRecord(c, { type: tls.ContentType.handshake, data: tls.createClientKeyExchange(c) }); tls.queue(c, record); c.expect = SER; var callback = function(c2, signature) { if (c2.session.certificateRequest !== null && c2.session.clientCertificate !== null) { tls.queue(c2, tls.createRecord(c2, { type: tls.ContentType.handshake, data: tls.createCertificateVerify(c2, signature) })); } tls.queue(c2, tls.createRecord(c2, { type: tls.ContentType.change_cipher_spec, data: tls.createChangeCipherSpec() })); c2.state.pending = tls.createConnectionState(c2); c2.state.current.write = c2.state.pending.write; tls.queue(c2, tls.createRecord(c2, { type: tls.ContentType.handshake, data: tls.createFinished(c2) })); c2.expect = SCC; tls.flush(c2); c2.process(); }; if (c.session.certificateRequest === null || c.session.clientCertificate === null) { return callback(c, null); } tls.getClientSignature(c, callback); }; tls.handleChangeCipherSpec = function(c, record) { if (record.fragment.getByte() !== 1) { return c.error(c, { message: "Invalid ChangeCipherSpec message received.", send: true, alert: { level: tls.Alert.Level.fatal, description: tls.Alert.Description.illegal_parameter } }); } var client = c.entity === tls.ConnectionEnd.client; if (c.session.resuming && client || !c.session.resuming && !client) { c.state.pending = tls.createConnectionState(c); } c.state.current.read = c.state.pending.read; if (!c.session.resuming && client || c.session.resuming && !client) { c.state.pending = null; } c.expect = client ? SFI : CFI; c.process(); }; tls.handleFinished = function(c, record, length) { var b = record.fragment; b.read -= 4; var msgBytes = b.bytes(); b.read += 4; var vd = record.fragment.getBytes(); b = forge3.util.createBuffer(); b.putBuffer(c.session.md5.digest()); b.putBuffer(c.session.sha1.digest()); var client = c.entity === tls.ConnectionEnd.client; var label = client ? "server finished" : "client finished"; var sp = c.session.sp; var vdl = 12; var prf = prf_TLS1; b = prf(sp.master_secret, label, b.getBytes(), vdl); if (b.getBytes() !== vd) { return c.error(c, { message: "Invalid verify_data in Finished message.", send: true, alert: { level: tls.Alert.Level.fatal, description: tls.Alert.Description.decrypt_error } }); } c.session.md5.update(msgBytes); c.session.sha1.update(msgBytes); if (c.session.resuming && client || !c.session.resuming && !client) { tls.queue(c, tls.createRecord(c, { type: tls.ContentType.change_cipher_spec, data: tls.createChangeCipherSpec() })); c.state.current.write = c.state.pending.write; c.state.pending = null; tls.queue(c, tls.createRecord(c, { type: tls.ContentType.handshake, data: tls.createFinished(c) })); } c.expect = client ? SAD : CAD; c.handshaking = false; ++c.handshakes; c.peerCertificate = client ? c.session.serverCertificate : c.session.clientCertificate; tls.flush(c); c.isConnected = true; c.connected(c); c.process(); }; tls.handleAlert = function(c, record) { var b = record.fragment; var alert = { level: b.getByte(), description: b.getByte() }; var msg; switch (alert.description) { case tls.Alert.Description.close_notify: msg = "Connection closed."; break; case tls.Alert.Description.unexpected_message: msg = "Unexpected message."; break; case tls.Alert.Description.bad_record_mac: msg = "Bad record MAC."; break; case tls.Alert.Description.decryption_failed: msg = "Decryption failed."; break; case tls.Alert.Description.record_overflow: msg = "Record overflow."; break; case tls.Alert.Description.decompression_failure: msg = "Decompression failed."; break; case tls.Alert.Description.handshake_failure: msg = "Handshake failure."; break; case tls.Alert.Description.bad_certificate: msg = "Bad certificate."; break; case tls.Alert.Description.unsupported_certificate: msg = "Unsupported certificate."; break; case tls.Alert.Description.certificate_revoked: msg = "Certificate revoked."; break; case tls.Alert.Description.certificate_expired: msg = "Certificate expired."; break; case tls.Alert.Description.certificate_unknown: msg = "Certificate unknown."; break; case tls.Alert.Description.illegal_parameter: msg = "Illegal parameter."; break; case tls.Alert.Description.unknown_ca: msg = "Unknown certificate authority."; break; case tls.Alert.Description.access_denied: msg = "Access denied."; break; case tls.Alert.Description.decode_error: msg = "Decode error."; break; case tls.Alert.Description.decrypt_error: msg = "Decrypt error."; break; case tls.Alert.Description.export_restriction: msg = "Export restriction."; break; case tls.Alert.Description.protocol_version: msg = "Unsupported protocol version."; break; case tls.Alert.Description.insufficient_security: msg = "Insufficient security."; break; case tls.Alert.Description.internal_error: msg = "Internal error."; break; case tls.Alert.Description.user_canceled: msg = "User canceled."; break; case tls.Alert.Description.no_renegotiation: msg = "Renegotiation not supported."; break; default: msg = "Unknown error."; break; } if (alert.description === tls.Alert.Description.close_notify) { return c.close(); } c.error(c, { message: msg, send: false, origin: c.entity === tls.ConnectionEnd.client ? "server" : "client", alert }); c.process(); }; tls.handleHandshake = function(c, record) { var b = record.fragment; var type = b.getByte(); var length = b.getInt24(); if (length > b.length()) { c.fragmented = record; record.fragment = forge3.util.createBuffer(); b.read -= 4; return c.process(); } c.fragmented = null; b.read -= 4; var bytes = b.bytes(length + 4); b.read += 4; if (type in hsTable[c.entity][c.expect]) { if (c.entity === tls.ConnectionEnd.server && !c.open && !c.fail) { c.handshaking = true; c.session = { version: null, extensions: { server_name: { serverNameList: [] } }, cipherSuite: null, compressionMethod: null, serverCertificate: null, clientCertificate: null, md5: forge3.md.md5.create(), sha1: forge3.md.sha1.create() }; } if (type !== tls.HandshakeType.hello_request && type !== tls.HandshakeType.certificate_verify && type !== tls.HandshakeType.finished) { c.session.md5.update(bytes); c.session.sha1.update(bytes); } hsTable[c.entity][c.expect][type](c, record, length); } else { tls.handleUnexpected(c, record); } }; tls.handleApplicationData = function(c, record) { c.data.putBuffer(record.fragment); c.dataReady(c); c.process(); }; tls.handleHeartbeat = function(c, record) { var b = record.fragment; var type = b.getByte(); var length = b.getInt16(); var payload = b.getBytes(length); if (type === tls.HeartbeatMessageType.heartbeat_request) { if (c.handshaking || length > payload.length) { return c.process(); } tls.queue(c, tls.createRecord(c, { type: tls.ContentType.heartbeat, data: tls.createHeartbeat(tls.HeartbeatMessageType.heartbeat_response, payload) })); tls.flush(c); } else if (type === tls.HeartbeatMessageType.heartbeat_response) { if (payload !== c.expectedHeartbeatPayload) { return c.process(); } if (c.heartbeatReceived) { c.heartbeatReceived(c, forge3.util.createBuffer(payload)); } } c.process(); }; var SHE = 0; var SCE = 1; var SKE = 2; var SCR = 3; var SHD = 4; var SCC = 5; var SFI = 6; var SAD = 7; var SER = 8; var CHE = 0; var CCE = 1; var CKE = 2; var CCV = 3; var CCC = 4; var CFI = 5; var CAD = 6; var __ = tls.handleUnexpected; var R0 = tls.handleChangeCipherSpec; var R1 = tls.handleAlert; var R2 = tls.handleHandshake; var R3 = tls.handleApplicationData; var R4 = tls.handleHeartbeat; var ctTable = []; ctTable[tls.ConnectionEnd.client] = [ [__, R1, R2, __, R4], [__, R1, R2, __, R4], [__, R1, R2, __, R4], [__, R1, R2, __, R4], [__, R1, R2, __, R4], [R0, R1, __, __, R4], [__, R1, R2, __, R4], [__, R1, R2, R3, R4], [__, R1, R2, __, R4] ]; ctTable[tls.ConnectionEnd.server] = [ [__, R1, R2, __, R4], [__, R1, R2, __, R4], [__, R1, R2, __, R4], [__, R1, R2, __, R4], [R0, R1, __, __, R4], [__, R1, R2, __, R4], [__, R1, R2, R3, R4], [__, R1, R2, __, R4] ]; var H0 = tls.handleHelloRequest; var H1 = tls.handleServerHello; var H2 = tls.handleCertificate; var H3 = tls.handleServerKeyExchange; var H4 = tls.handleCertificateRequest; var H5 = tls.handleServerHelloDone; var H6 = tls.handleFinished; var hsTable = []; hsTable[tls.ConnectionEnd.client] = [ [__, __, H1, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __], [H0, __, __, __, __, __, __, __, __, __, __, H2, H3, H4, H5, __, __, __, __, __, __], [H0, __, __, __, __, __, __, __, __, __, __, __, H3, H4, H5, __, __, __, __, __, __], [H0, __, __, __, __, __, __, __, __, __, __, __, __, H4, H5, __, __, __, __, __, __], [H0, __, __, __, __, __, __, __, __, __, __, __, __, __, H5, __, __, __, __, __, __], [H0, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __], [H0, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, H6], [H0, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __], [H0, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __] ]; var H7 = tls.handleClientHello; var H8 = tls.handleClientKeyExchange; var H9 = tls.handleCertificateVerify; hsTable[tls.ConnectionEnd.server] = [ [__, H7, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __], [__, __, __, __, __, __, __, __, __, __, __, H2, __, __, __, __, __, __, __, __, __], [__, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, H8, __, __, __, __], [__, __, __, __, __, __, __, __, __, __, __, __, __, __, __, H9, __, __, __, __, __], [__, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __], [__, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, H6], [__, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __], [__, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __, __] ]; tls.generateKeys = function(c, sp) { var prf = prf_TLS1; var random = sp.client_random + sp.server_random; if (!c.session.resuming) { sp.master_secret = prf(sp.pre_master_secret, "master secret", random, 48).bytes(); sp.pre_master_secret = null; } random = sp.server_random + sp.client_random; var length = 2 * sp.mac_key_length + 2 * sp.enc_key_length; var tls10 = c.version.major === tls.Versions.TLS_1_0.major && c.version.minor === tls.Versions.TLS_1_0.minor; if (tls10) { length += 2 * sp.fixed_iv_length; } var km = prf(sp.master_secret, "key expansion", random, length); var rval = { client_write_MAC_key: km.getBytes(sp.mac_key_length), server_write_MAC_key: km.getBytes(sp.mac_key_length), client_write_key: km.getBytes(sp.enc_key_length), server_write_key: km.getBytes(sp.enc_key_length) }; if (tls10) { rval.client_write_IV = km.getBytes(sp.fixed_iv_length); rval.server_write_IV = km.getBytes(sp.fixed_iv_length); } return rval; }; tls.createConnectionState = function(c) { var client = c.entity === tls.ConnectionEnd.client; var createMode = function() { var mode = { sequenceNumber: [0, 0], macKey: null, macLength: 0, macFunction: null, cipherState: null, cipherFunction: function(record) { return true; }, compressionState: null, compressFunction: function(record) { return true; }, updateSequenceNumber: function() { if (mode.sequenceNumber[1] === 4294967295) { mode.sequenceNumber[1] = 0; ++mode.sequenceNumber[0]; } else { ++mode.sequenceNumber[1]; } } }; return mode; }; var state = { read: createMode(), write: createMode() }; state.read.update = function(c2, record) { if (!state.read.cipherFunction(record, state.read)) { c2.error(c2, { message: "Could not decrypt record or bad MAC.", send: true, alert: { level: tls.Alert.Level.fatal, description: tls.Alert.Description.bad_record_mac } }); } else if (!state.read.compressFunction(c2, record, state.read)) { c2.error(c2, { message: "Could not decompress record.", send: true, alert: { level: tls.Alert.Level.fatal, description: tls.Alert.Description.decompression_failure } }); } return !c2.fail; }; state.write.update = function(c2, record) { if (!state.write.compressFunction(c2, record, state.write)) { c2.error(c2, { message: "Could not compress record.", send: false, alert: { level: tls.Alert.Level.fatal, description: tls.Alert.Description.internal_error } }); } else if (!state.write.cipherFunction(record, state.write)) { c2.error(c2, { message: "Could not encrypt record.", send: false, alert: { level: tls.Alert.Level.fatal, description: tls.Alert.Description.internal_error } }); } return !c2.fail; }; if (c.session) { var sp = c.session.sp; c.session.cipherSuite.initSecurityParameters(sp); sp.keys = tls.generateKeys(c, sp); state.read.macKey = client ? sp.keys.server_write_MAC_key : sp.keys.client_write_MAC_key; state.write.macKey = client ? sp.keys.client_write_MAC_key : sp.keys.server_write_MAC_key; c.session.cipherSuite.initConnectionState(state, c, sp); switch (sp.compression_algorithm) { case tls.CompressionMethod.none: break; case tls.CompressionMethod.deflate: state.read.compressFunction = inflate; state.write.compressFunction = deflate; break; default: throw new Error("Unsupported compression algorithm."); } } return state; }; tls.createRandom = function() { var d = new Date(); var utc = +d + d.getTimezoneOffset() * 6e4; var rval = forge3.util.createBuffer(); rval.putInt32(utc); rval.putBytes(forge3.random.getBytes(28)); return rval; }; tls.createRecord = function(c, options) { if (!options.data) { return null; } var record = { type: options.type, version: { major: c.version.major, minor: c.version.minor }, length: options.data.length(), fragment: options.data }; return record; }; tls.createAlert = function(c, alert) { var b = forge3.util.createBuffer(); b.putByte(alert.level); b.putByte(alert.description); return tls.createRecord(c, { type: tls.ContentType.alert, data: b }); }; tls.createClientHello = function(c) { c.session.clientHelloVersion = { major: c.version.major, minor: c.version.minor }; var cipherSuites = forge3.util.createBuffer(); for (var i = 0; i < c.cipherSuites.length; ++i) { var cs = c.cipherSuites[i]; cipherSuites.putByte(cs.id[0]); cipherSuites.putByte(cs.id[1]); } var cSuites = cipherSuites.length(); var compressionMethods = forge3.util.createBuffer(); compressionMethods.putByte(tls.CompressionMethod.none); var cMethods = compressionMethods.length(); var extensions = forge3.util.createBuffer(); if (c.virtualHost) { var ext = forge3.util.createBuffer(); ext.putByte(0); ext.putByte(0); var serverName = forge3.util.createBuffer(); serverName.putByte(0); writeVector(serverName, 2, forge3.util.createBuffer(c.virtualHost)); var snList = forge3.util.createBuffer(); writeVector(snList, 2, serverName); writeVector(ext, 2, snList); extensions.putBuffer(ext); } var extLength = extensions.length(); if (extLength > 0) { extLength += 2; } var sessionId = c.session.id; var length = sessionId.length + 1 + 2 + 4 + 28 + 2 + cSuites + 1 + cMethods + extLength; var rval = forge3.util.createBuffer(); rval.putByte(tls.HandshakeType.client_hello); rval.putInt24(length); rval.putByte(c.version.major); rval.putByte(c.version.minor); rval.putBytes(c.session.sp.client_random); writeVector(rval, 1, forge3.util.createBuffer(sessionId)); writeVector(rval, 2, cipherSuites); writeVector(rval, 1, compressionMethods); if (extLength > 0) { writeVector(rval, 2, extensions); } return rval; }; tls.createServerHello = function(c) { var sessionId = c.session.id; var length = sessionId.length + 1 + 2 + 4 + 28 + 2 + 1; var rval = forge3.util.createBuffer(); rval.putByte(tls.HandshakeType.server_hello); rval.putInt24(length); rval.putByte(c.version.major); rval.putByte(c.version.minor); rval.putBytes(c.session.sp.server_random); writeVector(rval, 1, forge3.util.createBuffer(sessionId)); rval.putByte(c.session.cipherSuite.id[0]); rval.putByte(c.session.cipherSuite.id[1]); rval.putByte(c.session.compressionMethod); return rval; }; tls.createCertificate = function(c) { var client = c.entity === tls.ConnectionEnd.client; var cert = null; if (c.getCertificate) { var hint; if (client) { hint = c.session.certificateRequest; } else { hint = c.session.extensions.server_name.serverNameList; } cert = c.getCertificate(c, hint); } var certList = forge3.util.createBuffer(); if (cert !== null) { try { if (!forge3.util.isArray(cert)) { cert = [cert]; } var asn1 = null; for (var i = 0; i < cert.length; ++i) { var msg = forge3.pem.decode(cert[i])[0]; if (msg.type !== "CERTIFICATE" && msg.type !== "X509 CERTIFICATE" && msg.type !== "TRUSTED CERTIFICATE") { var error = new Error('Could not convert certificate from PEM; PEM header type is not "CERTIFICATE", "X509 CERTIFICATE", or "TRUSTED CERTIFICATE".'); error.headerType = msg.type; throw error; } if (msg.procType && msg.procType.type === "ENCRYPTED") { throw new Error("Could not convert certificate from PEM; PEM is encrypted."); } var der = forge3.util.createBuffer(msg.body); if (asn1 === null) { asn1 = forge3.asn1.fromDer(der.bytes(), false); } var certBuffer = forge3.util.createBuffer(); writeVector(certBuffer, 3, der); certList.putBuffer(certBuffer); } cert = forge3.pki.certificateFromAsn1(asn1); if (client) { c.session.clientCertificate = cert; } else { c.session.serverCertificate = cert; } } catch (ex) { return c.error(c, { message: "Could not send certificate list.", cause: ex, send: true, alert: { level: tls.Alert.Level.fatal, description: tls.Alert.Description.bad_certificate } }); } } var length = 3 + certList.length(); var rval = forge3.util.createBuffer(); rval.putByte(tls.HandshakeType.certificate); rval.putInt24(length); writeVector(rval, 3, certList); return rval; }; tls.createClientKeyExchange = function(c) { var b = forge3.util.createBuffer(); b.putByte(c.session.clientHelloVersion.major); b.putByte(c.session.clientHelloVersion.minor); b.putBytes(forge3.random.getBytes(46)); var sp = c.session.sp; sp.pre_master_secret = b.getBytes(); var key2 = c.session.serverCertificate.publicKey; b = key2.encrypt(sp.pre_master_secret); var length = b.length + 2; var rval = forge3.util.createBuffer(); rval.putByte(tls.HandshakeType.client_key_exchange); rval.putInt24(length); rval.putInt16(b.length); rval.putBytes(b); return rval; }; tls.createServerKeyExchange = function(c) { var length = 0; var rval = forge3.util.createBuffer(); if (length > 0) { rval.putByte(tls.HandshakeType.server_key_exchange); rval.putInt24(length); } return rval; }; tls.getClientSignature = function(c, callback) { var b = forge3.util.createBuffer(); b.putBuffer(c.session.md5.digest()); b.putBuffer(c.session.sha1.digest()); b = b.getBytes(); c.getSignature = c.getSignature || function(c2, b2, callback2) { var privateKey = null; if (c2.getPrivateKey) { try { privateKey = c2.getPrivateKey(c2, c2.session.clientCertificate); privateKey = forge3.pki.privateKeyFromPem(privateKey); } catch (ex) { c2.error(c2, { message: "Could not get private key.", cause: ex, send: true, alert: { level: tls.Alert.Level.fatal, description: tls.Alert.Description.internal_error } }); } } if (privateKey === null) { c2.error(c2, { message: "No private key set.", send: true, alert: { level: tls.Alert.Level.fatal, description: tls.Alert.Description.internal_error } }); } else { b2 = privateKey.sign(b2, null); } callback2(c2, b2); }; c.getSignature(c, b, callback); }; tls.createCertificateVerify = function(c, signature) { var length = signature.length + 2; var rval = forge3.util.createBuffer(); rval.putByte(tls.HandshakeType.certificate_verify); rval.putInt24(length); rval.putInt16(signature.length); rval.putBytes(signature); return rval; }; tls.createCertificateRequest = function(c) { var certTypes = forge3.util.createBuffer(); certTypes.putByte(1); var cAs = forge3.util.createBuffer(); for (var key2 in c.caStore.certs) { var cert = c.caStore.certs[key2]; var dn = forge3.pki.distinguishedNameToAsn1(cert.subject); var byteBuffer = forge3.asn1.toDer(dn); cAs.putInt16(byteBuffer.length()); cAs.putBuffer(byteBuffer); } var length = 1 + certTypes.length() + 2 + cAs.length(); var rval = forge3.util.createBuffer(); rval.putByte(tls.HandshakeType.certificate_request); rval.putInt24(length); writeVector(rval, 1, certTypes); writeVector(rval, 2, cAs); return rval; }; tls.createServerHelloDone = function(c) { var rval = forge3.util.createBuffer(); rval.putByte(tls.HandshakeType.server_hello_done); rval.putInt24(0); return rval; }; tls.createChangeCipherSpec = function() { var rval = forge3.util.createBuffer(); rval.putByte(1); return rval; }; tls.createFinished = function(c) { var b = forge3.util.createBuffer(); b.putBuffer(c.session.md5.digest()); b.putBuffer(c.session.sha1.digest()); var client = c.entity === tls.ConnectionEnd.client; var sp = c.session.sp; var vdl = 12; var prf = prf_TLS1; var label = client ? "client finished" : "server finished"; b = prf(sp.master_secret, label, b.getBytes(), vdl); var rval = forge3.util.createBuffer(); rval.putByte(tls.HandshakeType.finished); rval.putInt24(b.length()); rval.putBuffer(b); return rval; }; tls.createHeartbeat = function(type, payload, payloadLength) { if (typeof payloadLength === "undefined") { payloadLength = payload.length; } var rval = forge3.util.createBuffer(); rval.putByte(type); rval.putInt16(payloadLength); rval.putBytes(payload); var plaintextLength = rval.length(); var paddingLength = Math.max(16, plaintextLength - payloadLength - 3); rval.putBytes(forge3.random.getBytes(paddingLength)); return rval; }; tls.queue = function(c, record) { if (!record) { return; } if (record.fragment.length() === 0) { if (record.type === tls.ContentType.handshake || record.type === tls.ContentType.alert || record.type === tls.ContentType.change_cipher_spec) { return; } } if (record.type === tls.ContentType.handshake) { var bytes = record.fragment.bytes(); c.session.md5.update(bytes); c.session.sha1.update(bytes); bytes = null; } var records; if (record.fragment.length() <= tls.MaxFragment) { records = [record]; } else { records = []; var data = record.fragment.bytes(); while (data.length > tls.MaxFragment) { records.push(tls.createRecord(c, { type: record.type, data: forge3.util.createBuffer(data.slice(0, tls.MaxFragment)) })); data = data.slice(tls.MaxFragment); } if (data.length > 0) { records.push(tls.createRecord(c, { type: record.type, data: forge3.util.createBuffer(data) })); } } for (var i = 0; i < records.length && !c.fail; ++i) { var rec = records[i]; var s = c.state.current.write; if (s.update(c, rec)) { c.records.push(rec); } } }; tls.flush = function(c) { for (var i = 0; i < c.records.length; ++i) { var record = c.records[i]; c.tlsData.putByte(record.type); c.tlsData.putByte(record.version.major); c.tlsData.putByte(record.version.minor); c.tlsData.putInt16(record.fragment.length()); c.tlsData.putBuffer(c.records[i].fragment); } c.records = []; return c.tlsDataReady(c); }; var _certErrorToAlertDesc = function(error) { switch (error) { case true: return true; case forge3.pki.certificateError.bad_certificate: return tls.Alert.Description.bad_certificate; case forge3.pki.certificateError.unsupported_certificate: return tls.Alert.Description.unsupported_certificate; case forge3.pki.certificateError.certificate_revoked: return tls.Alert.Description.certificate_revoked; case forge3.pki.certificateError.certificate_expired: return tls.Alert.Description.certificate_expired; case forge3.pki.certificateError.certificate_unknown: return tls.Alert.Description.certificate_unknown; case forge3.pki.certificateError.unknown_ca: return tls.Alert.Description.unknown_ca; default: return tls.Alert.Description.bad_certificate; } }; var _alertDescToCertError = function(desc) { switch (desc) { case true: return true; case tls.Alert.Description.bad_certificate: return forge3.pki.certificateError.bad_certificate; case tls.Alert.Description.unsupported_certificate: return forge3.pki.certificateError.unsupported_certificate; case tls.Alert.Description.certificate_revoked: return forge3.pki.certificateError.certificate_revoked; case tls.Alert.Description.certificate_expired: return forge3.pki.certificateError.certificate_expired; case tls.Alert.Description.certificate_unknown: return forge3.pki.certificateError.certificate_unknown; case tls.Alert.Description.unknown_ca: return forge3.pki.certificateError.unknown_ca; default: return forge3.pki.certificateError.bad_certificate; } }; tls.verifyCertificateChain = function(c, chain) { try { var options = {}; for (var key2 in c.verifyOptions) { options[key2] = c.verifyOptions[key2]; } options.verify = function(vfd, depth, chain2) { var desc = _certErrorToAlertDesc(vfd); var ret = c.verify(c, vfd, depth, chain2); if (ret !== true) { if (typeof ret === "object" && !forge3.util.isArray(ret)) { var error = new Error("The application rejected the certificate."); error.send = true; error.alert = { level: tls.Alert.Level.fatal, description: tls.Alert.Description.bad_certificate }; if (ret.message) { error.message = ret.message; } if (ret.alert) { error.alert.description = ret.alert; } throw error; } if (ret !== vfd) { ret = _alertDescToCertError(ret); } } return ret; }; forge3.pki.verifyCertificateChain(c.caStore, chain, options); } catch (ex) { var err = ex; if (typeof err !== "object" || forge3.util.isArray(err)) { err = { send: true, alert: { level: tls.Alert.Level.fatal, description: _certErrorToAlertDesc(ex) } }; } if (!("send" in err)) { err.send = true; } if (!("alert" in err)) { err.alert = { level: tls.Alert.Level.fatal, description: _certErrorToAlertDesc(err.error) }; } c.error(c, err); } return !c.fail; }; tls.createSessionCache = function(cache, capacity) { var rval = null; if (cache && cache.getSession && cache.setSession && cache.order) { rval = cache; } else { rval = {}; rval.cache = cache || {}; rval.capacity = Math.max(capacity || 100, 1); rval.order = []; for (var key2 in cache) { if (rval.order.length <= capacity) { rval.order.push(key2); } else { delete cache[key2]; } } rval.getSession = function(sessionId) { var session = null; var key3 = null; if (sessionId) { key3 = forge3.util.bytesToHex(sessionId); } else if (rval.order.length > 0) { key3 = rval.order[0]; } if (key3 !== null && key3 in rval.cache) { session = rval.cache[key3]; delete rval.cache[key3]; for (var i in rval.order) { if (rval.order[i] === key3) { rval.order.splice(i, 1); break; } } } return session; }; rval.setSession = function(sessionId, session) { if (rval.order.length === rval.capacity) { var key3 = rval.order.shift(); delete rval.cache[key3]; } var key3 = forge3.util.bytesToHex(sessionId); rval.order.push(key3); rval.cache[key3] = session; }; } return rval; }; tls.createConnection = function(options) { var caStore = null; if (options.caStore) { if (forge3.util.isArray(options.caStore)) { caStore = forge3.pki.createCaStore(options.caStore); } else { caStore = options.caStore; } } else { caStore = forge3.pki.createCaStore(); } var cipherSuites = options.cipherSuites || null; if (cipherSuites === null) { cipherSuites = []; for (var key2 in tls.CipherSuites) { cipherSuites.push(tls.CipherSuites[key2]); } } var entity = options.server || false ? tls.ConnectionEnd.server : tls.ConnectionEnd.client; var sessionCache = options.sessionCache ? tls.createSessionCache(options.sessionCache) : null; var c = { version: { major: tls.Version.major, minor: tls.Version.minor }, entity, sessionId: options.sessionId, caStore, sessionCache, cipherSuites, connected: options.connected, virtualHost: options.virtualHost || null, verifyClient: options.verifyClient || false, verify: options.verify || function(cn, vfd, dpth, cts) { return vfd; }, verifyOptions: options.verifyOptions || {}, getCertificate: options.getCertificate || null, getPrivateKey: options.getPrivateKey || null, getSignature: options.getSignature || null, input: forge3.util.createBuffer(), tlsData: forge3.util.createBuffer(), data: forge3.util.createBuffer(), tlsDataReady: options.tlsDataReady, dataReady: options.dataReady, heartbeatReceived: options.heartbeatReceived, closed: options.closed, error: function(c2, ex) { ex.origin = ex.origin || (c2.entity === tls.ConnectionEnd.client ? "client" : "server"); if (ex.send) { tls.queue(c2, tls.createAlert(c2, ex.alert)); tls.flush(c2); } var fatal = ex.fatal !== false; if (fatal) { c2.fail = true; } options.error(c2, ex); if (fatal) { c2.close(false); } }, deflate: options.deflate || null, inflate: options.inflate || null }; c.reset = function(clearFail) { c.version = { major: tls.Version.major, minor: tls.Version.minor }; c.record = null; c.session = null; c.peerCertificate = null; c.state = { pending: null, current: null }; c.expect = c.entity === tls.ConnectionEnd.client ? SHE : CHE; c.fragmented = null; c.records = []; c.open = false; c.handshakes = 0; c.handshaking = false; c.isConnected = false; c.fail = !(clearFail || typeof clearFail === "undefined"); c.input.clear(); c.tlsData.clear(); c.data.clear(); c.state.current = tls.createConnectionState(c); }; c.reset(); var _update = function(c2, record) { var aligned = record.type - tls.ContentType.change_cipher_spec; var handlers = ctTable[c2.entity][c2.expect]; if (aligned in handlers) { handlers[aligned](c2, record); } else { tls.handleUnexpected(c2, record); } }; var _readRecordHeader = function(c2) { var rval = 0; var b = c2.input; var len = b.length(); if (len < 5) { rval = 5 - len; } else { c2.record = { type: b.getByte(), version: { major: b.getByte(), minor: b.getByte() }, length: b.getInt16(), fragment: forge3.util.createBuffer(), ready: false }; var compatibleVersion = c2.record.version.major === c2.version.major; if (compatibleVersion && c2.session && c2.session.version) { compatibleVersion = c2.record.version.minor === c2.version.minor; } if (!compatibleVersion) { c2.error(c2, { message: "Incompatible TLS version.", send: true, alert: { level: tls.Alert.Level.fatal, description: tls.Alert.Description.protocol_version } }); } } return rval; }; var _readRecord = function(c2) { var rval = 0; var b = c2.input; var len = b.length(); if (len < c2.record.length) { rval = c2.record.length - len; } else { c2.record.fragment.putBytes(b.getBytes(c2.record.length)); b.compact(); var s = c2.state.current.read; if (s.update(c2, c2.record)) { if (c2.fragmented !== null) { if (c2.fragmented.type === c2.record.type) { c2.fragmented.fragment.putBuffer(c2.record.fragment); c2.record = c2.fragmented; } else { c2.error(c2, { message: "Invalid fragmented record.", send: true, alert: { level: tls.Alert.Level.fatal, description: tls.Alert.Description.unexpected_message } }); } } c2.record.ready = true; } } return rval; }; c.handshake = function(sessionId) { if (c.entity !== tls.ConnectionEnd.client) { c.error(c, { message: "Cannot initiate handshake as a server.", fatal: false }); } else if (c.handshaking) { c.error(c, { message: "Handshake already in progress.", fatal: false }); } else { if (c.fail && !c.open && c.handshakes === 0) { c.fail = false; } c.handshaking = true; sessionId = sessionId || ""; var session = null; if (sessionId.length > 0) { if (c.sessionCache) { session = c.sessionCache.getSession(sessionId); } if (session === null) { sessionId = ""; } } if (sessionId.length === 0 && c.sessionCache) { session = c.sessionCache.getSession(); if (session !== null) { sessionId = session.id; } } c.session = { id: sessionId, version: null, cipherSuite: null, compressionMethod: null, serverCertificate: null, certificateRequest: null, clientCertificate: null, sp: {}, md5: forge3.md.md5.create(), sha1: forge3.md.sha1.create() }; if (session) { c.version = session.version; c.session.sp = session.sp; } c.session.sp.client_random = tls.createRandom().getBytes(); c.open = true; tls.queue(c, tls.createRecord(c, { type: tls.ContentType.handshake, data: tls.createClientHello(c) })); tls.flush(c); } }; c.process = function(data) { var rval = 0; if (data) { c.input.putBytes(data); } if (!c.fail) { if (c.record !== null && c.record.ready && c.record.fragment.isEmpty()) { c.record = null; } if (c.record === null) { rval = _readRecordHeader(c); } if (!c.fail && c.record !== null && !c.record.ready) { rval = _readRecord(c); } if (!c.fail && c.record !== null && c.record.ready) { _update(c, c.record); } } return rval; }; c.prepare = function(data) { tls.queue(c, tls.createRecord(c, { type: tls.ContentType.application_data, data: forge3.util.createBuffer(data) })); return tls.flush(c); }; c.prepareHeartbeatRequest = function(payload, payloadLength) { if (payload instanceof forge3.util.ByteBuffer) { payload = payload.bytes(); } if (typeof payloadLength === "undefined") { payloadLength = payload.length; } c.expectedHeartbeatPayload = payload; tls.queue(c, tls.createRecord(c, { type: tls.ContentType.heartbeat, data: tls.createHeartbeat(tls.HeartbeatMessageType.heartbeat_request, payload, payloadLength) })); return tls.flush(c); }; c.close = function(clearFail) { if (!c.fail && c.sessionCache && c.session) { var session = { id: c.session.id, version: c.session.version, sp: c.session.sp }; session.sp.keys = null; c.sessionCache.setSession(session.id, session); } if (c.open) { c.open = false; c.input.clear(); if (c.isConnected || c.handshaking) { c.isConnected = c.handshaking = false; tls.queue(c, tls.createAlert(c, { level: tls.Alert.Level.warning, description: tls.Alert.Description.close_notify })); tls.flush(c); } c.closed(c); } c.reset(clearFail); }; return c; }; module2.exports = forge3.tls = forge3.tls || {}; for (key in tls) { if (typeof tls[key] !== "function") { forge3.tls[key] = tls[key]; } } var key; forge3.tls.prf_tls1 = prf_TLS1; forge3.tls.hmac_sha1 = hmac_sha1; forge3.tls.createSessionCache = tls.createSessionCache; forge3.tls.createConnection = tls.createConnection; } }); var require_aesCipherSuites = __commonJS({ "node_modules/node-forge/lib/aesCipherSuites.js"(exports2, module2) { var forge3 = require_forge(); require_aes(); require_tls(); var tls = module2.exports = forge3.tls; tls.CipherSuites["TLS_RSA_WITH_AES_128_CBC_SHA"] = { id: [0, 47], name: "TLS_RSA_WITH_AES_128_CBC_SHA", initSecurityParameters: function(sp) { sp.bulk_cipher_algorithm = tls.BulkCipherAlgorithm.aes; sp.cipher_type = tls.CipherType.block; sp.enc_key_length = 16; sp.block_length = 16; sp.fixed_iv_length = 16; sp.record_iv_length = 16; sp.mac_algorithm = tls.MACAlgorithm.hmac_sha1; sp.mac_length = 20; sp.mac_key_length = 20; }, initConnectionState }; tls.CipherSuites["TLS_RSA_WITH_AES_256_CBC_SHA"] = { id: [0, 53], name: "TLS_RSA_WITH_AES_256_CBC_SHA", initSecurityParameters: function(sp) { sp.bulk_cipher_algorithm = tls.BulkCipherAlgorithm.aes; sp.cipher_type = tls.CipherType.block; sp.enc_key_length = 32; sp.block_length = 16; sp.fixed_iv_length = 16; sp.record_iv_length = 16; sp.mac_algorithm = tls.MACAlgorithm.hmac_sha1; sp.mac_length = 20; sp.mac_key_length = 20; }, initConnectionState }; function initConnectionState(state, c, sp) { var client = c.entity === forge3.tls.ConnectionEnd.client; state.read.cipherState = { init: false, cipher: forge3.cipher.createDecipher("AES-CBC", client ? sp.keys.server_write_key : sp.keys.client_write_key), iv: client ? sp.keys.server_write_IV : sp.keys.client_write_IV }; state.write.cipherState = { init: false, cipher: forge3.cipher.createCipher("AES-CBC", client ? sp.keys.client_write_key : sp.keys.server_write_key), iv: client ? sp.keys.client_write_IV : sp.keys.server_write_IV }; state.read.cipherFunction = decrypt_aes_cbc_sha1; state.write.cipherFunction = encrypt_aes_cbc_sha1; state.read.macLength = state.write.macLength = sp.mac_length; state.read.macFunction = state.write.macFunction = tls.hmac_sha1; } function encrypt_aes_cbc_sha1(record, s) { var rval = false; var mac = s.macFunction(s.macKey, s.sequenceNumber, record); record.fragment.putBytes(mac); s.updateSequenceNumber(); var iv; if (record.version.minor === tls.Versions.TLS_1_0.minor) { iv = s.cipherState.init ? null : s.cipherState.iv; } else { iv = forge3.random.getBytesSync(16); } s.cipherState.init = true; var cipher = s.cipherState.cipher; cipher.start({ iv }); if (record.version.minor >= tls.Versions.TLS_1_1.minor) { cipher.output.putBytes(iv); } cipher.update(record.fragment); if (cipher.finish(encrypt_aes_cbc_sha1_padding)) { record.fragment = cipher.output; record.length = record.fragment.length(); rval = true; } return rval; } function encrypt_aes_cbc_sha1_padding(blockSize, input, decrypt) { if (!decrypt) { var padding = blockSize - input.length() % blockSize; input.fillWithByte(padding - 1, padding); } return true; } function decrypt_aes_cbc_sha1_padding(blockSize, output, decrypt) { var rval = true; if (decrypt) { var len = output.length(); var paddingLength = output.last(); for (var i = len - 1 - paddingLength; i < len - 1; ++i) { rval = rval && output.at(i) == paddingLength; } if (rval) { output.truncate(paddingLength + 1); } } return rval; } function decrypt_aes_cbc_sha1(record, s) { var rval = false; var iv; if (record.version.minor === tls.Versions.TLS_1_0.minor) { iv = s.cipherState.init ? null : s.cipherState.iv; } else { iv = record.fragment.getBytes(16); } s.cipherState.init = true; var cipher = s.cipherState.cipher; cipher.start({ iv }); cipher.update(record.fragment); rval = cipher.finish(decrypt_aes_cbc_sha1_padding); var macLen = s.macLength; var mac = forge3.random.getBytesSync(macLen); var len = cipher.output.length(); if (len >= macLen) { record.fragment = cipher.output.getBytes(len - macLen); mac = cipher.output.getBytes(macLen); } else { record.fragment = cipher.output.getBytes(); } record.fragment = forge3.util.createBuffer(record.fragment); record.length = record.fragment.length(); var mac2 = s.macFunction(s.macKey, s.sequenceNumber, record); s.updateSequenceNumber(); rval = compareMacs(s.macKey, mac, mac2) && rval; return rval; } function compareMacs(key, mac1, mac2) { var hmac = forge3.hmac.create(); hmac.start("SHA1", key); hmac.update(mac1); mac1 = hmac.digest().getBytes(); hmac.start(null, null); hmac.update(mac2); mac2 = hmac.digest().getBytes(); return mac1 === mac2; } } }); var require_sha512 = __commonJS({ "node_modules/node-forge/lib/sha512.js"(exports2, module2) { var forge3 = require_forge(); require_md(); require_util(); var sha512 = module2.exports = forge3.sha512 = forge3.sha512 || {}; forge3.md.sha512 = forge3.md.algorithms.sha512 = sha512; var sha384 = forge3.sha384 = forge3.sha512.sha384 = forge3.sha512.sha384 || {}; sha384.create = function() { return sha512.create("SHA-384"); }; forge3.md.sha384 = forge3.md.algorithms.sha384 = sha384; forge3.sha512.sha256 = forge3.sha512.sha256 || { create: function() { return sha512.create("SHA-512/256"); } }; forge3.md["sha512/256"] = forge3.md.algorithms["sha512/256"] = forge3.sha512.sha256; forge3.sha512.sha224 = forge3.sha512.sha224 || { create: function() { return sha512.create("SHA-512/224"); } }; forge3.md["sha512/224"] = forge3.md.algorithms["sha512/224"] = forge3.sha512.sha224; sha512.create = function(algorithm) { if (!_initialized) { _init(); } if (typeof algorithm === "undefined") { algorithm = "SHA-512"; } if (!(algorithm in _states)) { throw new Error("Invalid SHA-512 algorithm: " + algorithm); } var _state = _states[algorithm]; var _h = null; var _input = forge3.util.createBuffer(); var _w = new Array(80); for (var wi = 0; wi < 80; ++wi) { _w[wi] = new Array(2); } var digestLength = 64; switch (algorithm) { case "SHA-384": digestLength = 48; break; case "SHA-512/256": digestLength = 32; break; case "SHA-512/224": digestLength = 28; break; } var md = { algorithm: algorithm.replace("-", "").toLowerCase(), blockLength: 128, digestLength, messageLength: 0, fullMessageLength: null, messageLengthSize: 16 }; md.start = function() { md.messageLength = 0; md.fullMessageLength = md.messageLength128 = []; var int32s = md.messageLengthSize / 4; for (var i = 0; i < int32s; ++i) { md.fullMessageLength.push(0); } _input = forge3.util.createBuffer(); _h = new Array(_state.length); for (var i = 0; i < _state.length; ++i) { _h[i] = _state[i].slice(0); } return md; }; md.start(); md.update = function(msg, encoding) { if (encoding === "utf8") { msg = forge3.util.encodeUtf8(msg); } var len = msg.length; md.messageLength += len; len = [len / 4294967296 >>> 0, len >>> 0]; for (var i = md.fullMessageLength.length - 1; i >= 0; --i) { md.fullMessageLength[i] += len[1]; len[1] = len[0] + (md.fullMessageLength[i] / 4294967296 >>> 0); md.fullMessageLength[i] = md.fullMessageLength[i] >>> 0; len[0] = len[1] / 4294967296 >>> 0; } _input.putBytes(msg); _update(_h, _w, _input); if (_input.read > 2048 || _input.length() === 0) { _input.compact(); } return md; }; md.digest = function() { var finalBlock = forge3.util.createBuffer(); finalBlock.putBytes(_input.bytes()); var remaining = md.fullMessageLength[md.fullMessageLength.length - 1] + md.messageLengthSize; var overflow = remaining & md.blockLength - 1; finalBlock.putBytes(_padding.substr(0, md.blockLength - overflow)); var next, carry; var bits = md.fullMessageLength[0] * 8; for (var i = 0; i < md.fullMessageLength.length - 1; ++i) { next = md.fullMessageLength[i + 1] * 8; carry = next / 4294967296 >>> 0; bits += carry; finalBlock.putInt32(bits >>> 0); bits = next >>> 0; } finalBlock.putInt32(bits); var h = new Array(_h.length); for (var i = 0; i < _h.length; ++i) { h[i] = _h[i].slice(0); } _update(h, _w, finalBlock); var rval = forge3.util.createBuffer(); var hlen; if (algorithm === "SHA-512") { hlen = h.length; } else if (algorithm === "SHA-384") { hlen = h.length - 2; } else { hlen = h.length - 4; } for (var i = 0; i < hlen; ++i) { rval.putInt32(h[i][0]); if (i !== hlen - 1 || algorithm !== "SHA-512/224") { rval.putInt32(h[i][1]); } } return rval; }; return md; }; var _padding = null; var _initialized = false; var _k = null; var _states = null; function _init() { _padding = String.fromCharCode(128); _padding += forge3.util.fillString(String.fromCharCode(0), 128); _k = [ [1116352408, 3609767458], [1899447441, 602891725], [3049323471, 3964484399], [3921009573, 2173295548], [961987163, 4081628472], [1508970993, 3053834265], [2453635748, 2937671579], [2870763221, 3664609560], [3624381080, 2734883394], [310598401, 1164996542], [607225278, 1323610764], [1426881987, 3590304994], [1925078388, 4068182383], [2162078206, 991336113], [2614888103, 633803317], [3248222580, 3479774868], [3835390401, 2666613458], [4022224774, 944711139], [264347078, 2341262773], [604807628, 2007800933], [770255983, 1495990901], [1249150122, 1856431235], [1555081692, 3175218132], [1996064986, 2198950837], [2554220882, 3999719339], [2821834349, 766784016], [2952996808, 2566594879], [3210313671, 3203337956], [3336571891, 1034457026], [3584528711, 2466948901], [113926993, 3758326383], [338241895, 168717936], [666307205, 1188179964], [773529912, 1546045734], [1294757372, 1522805485], [1396182291, 2643833823], [1695183700, 2343527390], [1986661051, 1014477480], [2177026350, 1206759142], [2456956037, 344077627], [2730485921, 1290863460], [2820302411, 3158454273], [3259730800, 3505952657], [3345764771, 106217008], [3516065817, 3606008344], [3600352804, 1432725776], [4094571909, 1467031594], [275423344, 851169720], [430227734, 3100823752], [506948616, 1363258195], [659060556, 3750685593], [883997877, 3785050280], [958139571, 3318307427], [1322822218, 3812723403], [1537002063, 2003034995], [1747873779, 3602036899], [1955562222, 1575990012], [2024104815, 1125592928], [2227730452, 2716904306], [2361852424, 442776044], [2428436474, 593698344], [2756734187, 3733110249], [3204031479, 2999351573], [3329325298, 3815920427], [3391569614, 3928383900], [3515267271, 566280711], [3940187606, 3454069534], [4118630271, 4000239992], [116418474, 1914138554], [174292421, 2731055270], [289380356, 3203993006], [460393269, 320620315], [685471733, 587496836], [852142971, 1086792851], [1017036298, 365543100], [1126000580, 2618297676], [1288033470, 3409855158], [1501505948, 4234509866], [1607167915, 987167468], [1816402316, 1246189591] ]; _states = {}; _states["SHA-512"] = [ [1779033703, 4089235720], [3144134277, 2227873595], [1013904242, 4271175723], [2773480762, 1595750129], [1359893119, 2917565137], [2600822924, 725511199], [528734635, 4215389547], [1541459225, 327033209] ]; _states["SHA-384"] = [ [3418070365, 3238371032], [1654270250, 914150663], [2438529370, 812702999], [355462360, 4144912697], [1731405415, 4290775857], [2394180231, 1750603025], [3675008525, 1694076839], [1203062813, 3204075428] ]; _states["SHA-512/256"] = [ [573645204, 4230739756], [2673172387, 3360449730], [596883563, 1867755857], [2520282905, 1497426621], [2519219938, 2827943907], [3193839141, 1401305490], [721525244, 746961066], [246885852, 2177182882] ]; _states["SHA-512/224"] = [ [2352822216, 424955298], [1944164710, 2312950998], [502970286, 855612546], [1738396948, 1479516111], [258812777, 2077511080], [2011393907, 79989058], [1067287976, 1780299464], [286451373, 2446758561] ]; _initialized = true; } function _update(s, w, bytes) { var t1_hi, t1_lo; var t2_hi, t2_lo; var s0_hi, s0_lo; var s1_hi, s1_lo; var ch_hi, ch_lo; var maj_hi, maj_lo; var a_hi, a_lo; var b_hi, b_lo; var c_hi, c_lo; var d_hi, d_lo; var e_hi, e_lo; var f_hi, f_lo; var g_hi, g_lo; var h_hi, h_lo; var i, hi, lo, w2, w7, w15, w16; var len = bytes.length(); while (len >= 128) { for (i = 0; i < 16; ++i) { w[i][0] = bytes.getInt32() >>> 0; w[i][1] = bytes.getInt32() >>> 0; } for (; i < 80; ++i) { w2 = w[i - 2]; hi = w2[0]; lo = w2[1]; t1_hi = ((hi >>> 19 | lo << 13) ^ (lo >>> 29 | hi << 3) ^ hi >>> 6) >>> 0; t1_lo = ((hi << 13 | lo >>> 19) ^ (lo << 3 | hi >>> 29) ^ (hi << 26 | lo >>> 6)) >>> 0; w15 = w[i - 15]; hi = w15[0]; lo = w15[1]; t2_hi = ((hi >>> 1 | lo << 31) ^ (hi >>> 8 | lo << 24) ^ hi >>> 7) >>> 0; t2_lo = ((hi << 31 | lo >>> 1) ^ (hi << 24 | lo >>> 8) ^ (hi << 25 | lo >>> 7)) >>> 0; w7 = w[i - 7]; w16 = w[i - 16]; lo = t1_lo + w7[1] + t2_lo + w16[1]; w[i][0] = t1_hi + w7[0] + t2_hi + w16[0] + (lo / 4294967296 >>> 0) >>> 0; w[i][1] = lo >>> 0; } a_hi = s[0][0]; a_lo = s[0][1]; b_hi = s[1][0]; b_lo = s[1][1]; c_hi = s[2][0]; c_lo = s[2][1]; d_hi = s[3][0]; d_lo = s[3][1]; e_hi = s[4][0]; e_lo = s[4][1]; f_hi = s[5][0]; f_lo = s[5][1]; g_hi = s[6][0]; g_lo = s[6][1]; h_hi = s[7][0]; h_lo = s[7][1]; for (i = 0; i < 80; ++i) { s1_hi = ((e_hi >>> 14 | e_lo << 18) ^ (e_hi >>> 18 | e_lo << 14) ^ (e_lo >>> 9 | e_hi << 23)) >>> 0; s1_lo = ((e_hi << 18 | e_lo >>> 14) ^ (e_hi << 14 | e_lo >>> 18) ^ (e_lo << 23 | e_hi >>> 9)) >>> 0; ch_hi = (g_hi ^ e_hi & (f_hi ^ g_hi)) >>> 0; ch_lo = (g_lo ^ e_lo & (f_lo ^ g_lo)) >>> 0; s0_hi = ((a_hi >>> 28 | a_lo << 4) ^ (a_lo >>> 2 | a_hi << 30) ^ (a_lo >>> 7 | a_hi << 25)) >>> 0; s0_lo = ((a_hi << 4 | a_lo >>> 28) ^ (a_lo << 30 | a_hi >>> 2) ^ (a_lo << 25 | a_hi >>> 7)) >>> 0; maj_hi = (a_hi & b_hi | c_hi & (a_hi ^ b_hi)) >>> 0; maj_lo = (a_lo & b_lo | c_lo & (a_lo ^ b_lo)) >>> 0; lo = h_lo + s1_lo + ch_lo + _k[i][1] + w[i][1]; t1_hi = h_hi + s1_hi + ch_hi + _k[i][0] + w[i][0] + (lo / 4294967296 >>> 0) >>> 0; t1_lo = lo >>> 0; lo = s0_lo + maj_lo; t2_hi = s0_hi + maj_hi + (lo / 4294967296 >>> 0) >>> 0; t2_lo = lo >>> 0; h_hi = g_hi; h_lo = g_lo; g_hi = f_hi; g_lo = f_lo; f_hi = e_hi; f_lo = e_lo; lo = d_lo + t1_lo; e_hi = d_hi + t1_hi + (lo / 4294967296 >>> 0) >>> 0; e_lo = lo >>> 0; d_hi = c_hi; d_lo = c_lo; c_hi = b_hi; c_lo = b_lo; b_hi = a_hi; b_lo = a_lo; lo = t1_lo + t2_lo; a_hi = t1_hi + t2_hi + (lo / 4294967296 >>> 0) >>> 0; a_lo = lo >>> 0; } lo = s[0][1] + a_lo; s[0][0] = s[0][0] + a_hi + (lo / 4294967296 >>> 0) >>> 0; s[0][1] = lo >>> 0; lo = s[1][1] + b_lo; s[1][0] = s[1][0] + b_hi + (lo / 4294967296 >>> 0) >>> 0; s[1][1] = lo >>> 0; lo = s[2][1] + c_lo; s[2][0] = s[2][0] + c_hi + (lo / 4294967296 >>> 0) >>> 0; s[2][1] = lo >>> 0; lo = s[3][1] + d_lo; s[3][0] = s[3][0] + d_hi + (lo / 4294967296 >>> 0) >>> 0; s[3][1] = lo >>> 0; lo = s[4][1] + e_lo; s[4][0] = s[4][0] + e_hi + (lo / 4294967296 >>> 0) >>> 0; s[4][1] = lo >>> 0; lo = s[5][1] + f_lo; s[5][0] = s[5][0] + f_hi + (lo / 4294967296 >>> 0) >>> 0; s[5][1] = lo >>> 0; lo = s[6][1] + g_lo; s[6][0] = s[6][0] + g_hi + (lo / 4294967296 >>> 0) >>> 0; s[6][1] = lo >>> 0; lo = s[7][1] + h_lo; s[7][0] = s[7][0] + h_hi + (lo / 4294967296 >>> 0) >>> 0; s[7][1] = lo >>> 0; len -= 128; } } } }); var require_asn1_validator = __commonJS({ "node_modules/node-forge/lib/asn1-validator.js"(exports2) { var forge3 = require_forge(); require_asn1(); var asn1 = forge3.asn1; exports2.privateKeyValidator = { name: "PrivateKeyInfo", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, value: [{ name: "PrivateKeyInfo.version", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.INTEGER, constructed: false, capture: "privateKeyVersion" }, { name: "PrivateKeyInfo.privateKeyAlgorithm", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, value: [{ name: "AlgorithmIdentifier.algorithm", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.OID, constructed: false, capture: "privateKeyOid" }] }, { name: "PrivateKeyInfo", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.OCTETSTRING, constructed: false, capture: "privateKey" }] }; exports2.publicKeyValidator = { name: "SubjectPublicKeyInfo", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, captureAsn1: "subjectPublicKeyInfo", value: [ { name: "SubjectPublicKeyInfo.AlgorithmIdentifier", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.SEQUENCE, constructed: true, value: [{ name: "AlgorithmIdentifier.algorithm", tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.OID, constructed: false, capture: "publicKeyOid" }] }, { tagClass: asn1.Class.UNIVERSAL, type: asn1.Type.BITSTRING, constructed: false, composed: true, captureBitStringValue: "ed25519PublicKey" } ] }; } }); var require_ed25519 = __commonJS({ "node_modules/node-forge/lib/ed25519.js"(exports2, module2) { var forge3 = require_forge(); require_jsbn(); require_random(); require_sha512(); require_util(); var asn1Validator = require_asn1_validator(); var publicKeyValidator = asn1Validator.publicKeyValidator; var privateKeyValidator = asn1Validator.privateKeyValidator; if (typeof BigInteger === "undefined") { BigInteger = forge3.jsbn.BigInteger; } var BigInteger; var ByteBuffer = forge3.util.ByteBuffer; var NativeBuffer = typeof Buffer === "undefined" ? Uint8Array : Buffer; forge3.pki = forge3.pki || {}; module2.exports = forge3.pki.ed25519 = forge3.ed25519 = forge3.ed25519 || {}; var ed25519 = forge3.ed25519; ed25519.constants = {}; ed25519.constants.PUBLIC_KEY_BYTE_LENGTH = 32; ed25519.constants.PRIVATE_KEY_BYTE_LENGTH = 64; ed25519.constants.SEED_BYTE_LENGTH = 32; ed25519.constants.SIGN_BYTE_LENGTH = 64; ed25519.constants.HASH_BYTE_LENGTH = 64; ed25519.generateKeyPair = function(options) { options = options || {}; var seed = options.seed; if (seed === void 0) { seed = forge3.random.getBytesSync(ed25519.constants.SEED_BYTE_LENGTH); } else if (typeof seed === "string") { if (seed.length !== ed25519.constants.SEED_BYTE_LENGTH) { throw new TypeError('"seed" must be ' + ed25519.constants.SEED_BYTE_LENGTH + " bytes in length."); } } else if (!(seed instanceof Uint8Array)) { throw new TypeError('"seed" must be a node.js Buffer, Uint8Array, or a binary string.'); } seed = messageToNativeBuffer({ message: seed, encoding: "binary" }); var pk = new NativeBuffer(ed25519.constants.PUBLIC_KEY_BYTE_LENGTH); var sk = new NativeBuffer(ed25519.constants.PRIVATE_KEY_BYTE_LENGTH); for (var i = 0; i < 32; ++i) { sk[i] = seed[i]; } crypto_sign_keypair(pk, sk); return { publicKey: pk, privateKey: sk }; }; ed25519.privateKeyFromAsn1 = function(obj) { var capture = {}; var errors = []; var valid = forge3.asn1.validate(obj, privateKeyValidator, capture, errors); if (!valid) { var error = new Error("Invalid Key."); error.errors = errors; throw error; } var oid = forge3.asn1.derToOid(capture.privateKeyOid); var ed25519Oid = forge3.oids.EdDSA25519; if (oid !== ed25519Oid) { throw new Error('Invalid OID "' + oid + '"; OID must be "' + ed25519Oid + '".'); } var privateKey = capture.privateKey; var privateKeyBytes = messageToNativeBuffer({ message: forge3.asn1.fromDer(privateKey).value, encoding: "binary" }); return { privateKeyBytes }; }; ed25519.publicKeyFromAsn1 = function(obj) { var capture = {}; var errors = []; var valid = forge3.asn1.validate(obj, publicKeyValidator, capture, errors); if (!valid) { var error = new Error("Invalid Key."); error.errors = errors; throw error; } var oid = forge3.asn1.derToOid(capture.publicKeyOid); var ed25519Oid = forge3.oids.EdDSA25519; if (oid !== ed25519Oid) { throw new Error('Invalid OID "' + oid + '"; OID must be "' + ed25519Oid + '".'); } var publicKeyBytes = capture.ed25519PublicKey; if (publicKeyBytes.length !== ed25519.constants.PUBLIC_KEY_BYTE_LENGTH) { throw new Error("Key length is invalid."); } return messageToNativeBuffer({ message: publicKeyBytes, encoding: "binary" }); }; ed25519.publicKeyFromPrivateKey = function(options) { options = options || {}; var privateKey = messageToNativeBuffer({ message: options.privateKey, encoding: "binary" }); if (privateKey.length !== ed25519.constants.PRIVATE_KEY_BYTE_LENGTH) { throw new TypeError('"options.privateKey" must have a byte length of ' + ed25519.constants.PRIVATE_KEY_BYTE_LENGTH); } var pk = new NativeBuffer(ed25519.constants.PUBLIC_KEY_BYTE_LENGTH); for (var i = 0; i < pk.length; ++i) { pk[i] = privateKey[32 + i]; } return pk; }; ed25519.sign = function(options) { options = options || {}; var msg = messageToNativeBuffer(options); var privateKey = messageToNativeBuffer({ message: options.privateKey, encoding: "binary" }); if (privateKey.length === ed25519.constants.SEED_BYTE_LENGTH) { var keyPair = ed25519.generateKeyPair({ seed: privateKey }); privateKey = keyPair.privateKey; } else if (privateKey.length !== ed25519.constants.PRIVATE_KEY_BYTE_LENGTH) { throw new TypeError('"options.privateKey" must have a byte length of ' + ed25519.constants.SEED_BYTE_LENGTH + " or " + ed25519.constants.PRIVATE_KEY_BYTE_LENGTH); } var signedMsg = new NativeBuffer(ed25519.constants.SIGN_BYTE_LENGTH + msg.length); crypto_sign(signedMsg, msg, msg.length, privateKey); var sig = new NativeBuffer(ed25519.constants.SIGN_BYTE_LENGTH); for (var i = 0; i < sig.length; ++i) { sig[i] = signedMsg[i]; } return sig; }; ed25519.verify = function(options) { options = options || {}; var msg = messageToNativeBuffer(options); if (options.signature === void 0) { throw new TypeError('"options.signature" must be a node.js Buffer, a Uint8Array, a forge ByteBuffer, or a binary string.'); } var sig = messageToNativeBuffer({ message: options.signature, encoding: "binary" }); if (sig.length !== ed25519.constants.SIGN_BYTE_LENGTH) { throw new TypeError('"options.signature" must have a byte length of ' + ed25519.constants.SIGN_BYTE_LENGTH); } var publicKey = messageToNativeBuffer({ message: options.publicKey, encoding: "binary" }); if (publicKey.length !== ed25519.constants.PUBLIC_KEY_BYTE_LENGTH) { throw new TypeError('"options.publicKey" must have a byte length of ' + ed25519.constants.PUBLIC_KEY_BYTE_LENGTH); } var sm = new NativeBuffer(ed25519.constants.SIGN_BYTE_LENGTH + msg.length); var m = new NativeBuffer(ed25519.constants.SIGN_BYTE_LENGTH + msg.length); var i; for (i = 0; i < ed25519.constants.SIGN_BYTE_LENGTH; ++i) { sm[i] = sig[i]; } for (i = 0; i < msg.length; ++i) { sm[i + ed25519.constants.SIGN_BYTE_LENGTH] = msg[i]; } return crypto_sign_open(m, sm, sm.length, publicKey) >= 0; }; function messageToNativeBuffer(options) { var message2 = options.message; if (message2 instanceof Uint8Array || message2 instanceof NativeBuffer) { return message2; } var encoding = options.encoding; if (message2 === void 0) { if (options.md) { message2 = options.md.digest().getBytes(); encoding = "binary"; } else { throw new TypeError('"options.message" or "options.md" not specified.'); } } if (typeof message2 === "string" && !encoding) { throw new TypeError('"options.encoding" must be "binary" or "utf8".'); } if (typeof message2 === "string") { if (typeof Buffer !== "undefined") { return Buffer.from(message2, encoding); } message2 = new ByteBuffer(message2, encoding); } else if (!(message2 instanceof ByteBuffer)) { throw new TypeError('"options.message" must be a node.js Buffer, a Uint8Array, a forge ByteBuffer, or a string with "options.encoding" specifying its encoding.'); } var buffer = new NativeBuffer(message2.length()); for (var i = 0; i < buffer.length; ++i) { buffer[i] = message2.at(i); } return buffer; } var gf0 = gf(); var gf1 = gf([1]); var D = gf([ 30883, 4953, 19914, 30187, 55467, 16705, 2637, 112, 59544, 30585, 16505, 36039, 65139, 11119, 27886, 20995 ]); var D2 = gf([ 61785, 9906, 39828, 60374, 45398, 33411, 5274, 224, 53552, 61171, 33010, 6542, 64743, 22239, 55772, 9222 ]); var X = gf([ 54554, 36645, 11616, 51542, 42930, 38181, 51040, 26924, 56412, 64982, 57905, 49316, 21502, 52590, 14035, 8553 ]); var Y = gf([ 26200, 26214, 26214, 26214, 26214, 26214, 26214, 26214, 26214, 26214, 26214, 26214, 26214, 26214, 26214, 26214 ]); var L = new Float64Array([ 237, 211, 245, 92, 26, 99, 18, 88, 214, 156, 247, 162, 222, 249, 222, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16 ]); var I = gf([ 41136, 18958, 6951, 50414, 58488, 44335, 6150, 12099, 55207, 15867, 153, 11085, 57099, 20417, 9344, 11139 ]); function sha512(msg, msgLen) { var md = forge3.md.sha512.create(); var buffer = new ByteBuffer(msg); md.update(buffer.getBytes(msgLen), "binary"); var hash = md.digest().getBytes(); if (typeof Buffer !== "undefined") { return Buffer.from(hash, "binary"); } var out = new NativeBuffer(ed25519.constants.HASH_BYTE_LENGTH); for (var i = 0; i < 64; ++i) { out[i] = hash.charCodeAt(i); } return out; } function crypto_sign_keypair(pk, sk) { var p = [gf(), gf(), gf(), gf()]; var i; var d = sha512(sk, 32); d[0] &= 248; d[31] &= 127; d[31] |= 64; scalarbase(p, d); pack(pk, p); for (i = 0; i < 32; ++i) { sk[i + 32] = pk[i]; } return 0; } function crypto_sign(sm, m, n, sk) { var i, j, x = new Float64Array(64); var p = [gf(), gf(), gf(), gf()]; var d = sha512(sk, 32); d[0] &= 248; d[31] &= 127; d[31] |= 64; var smlen = n + 64; for (i = 0; i < n; ++i) { sm[64 + i] = m[i]; } for (i = 0; i < 32; ++i) { sm[32 + i] = d[32 + i]; } var r = sha512(sm.subarray(32), n + 32); reduce(r); scalarbase(p, r); pack(sm, p); for (i = 32; i < 64; ++i) { sm[i] = sk[i]; } var h = sha512(sm, n + 64); reduce(h); for (i = 32; i < 64; ++i) { x[i] = 0; } for (i = 0; i < 32; ++i) { x[i] = r[i]; } for (i = 0; i < 32; ++i) { for (j = 0; j < 32; j++) { x[i + j] += h[i] * d[j]; } } modL(sm.subarray(32), x); return smlen; } function crypto_sign_open(m, sm, n, pk) { var i, mlen; var t = new NativeBuffer(32); var p = [gf(), gf(), gf(), gf()], q = [gf(), gf(), gf(), gf()]; mlen = -1; if (n < 64) { return -1; } if (unpackneg(q, pk)) { return -1; } for (i = 0; i < n; ++i) { m[i] = sm[i]; } for (i = 0; i < 32; ++i) { m[i + 32] = pk[i]; } var h = sha512(m, n); reduce(h); scalarmult(p, q, h); scalarbase(q, sm.subarray(32)); add(p, q); pack(t, p); n -= 64; if (crypto_verify_32(sm, 0, t, 0)) { for (i = 0; i < n; ++i) { m[i] = 0; } return -1; } for (i = 0; i < n; ++i) { m[i] = sm[i + 64]; } mlen = n; return mlen; } function modL(r, x) { var carry, i, j, k; for (i = 63; i >= 32; --i) { carry = 0; for (j = i - 32, k = i - 12; j < k; ++j) { x[j] += carry - 16 * x[i] * L[j - (i - 32)]; carry = x[j] + 128 >> 8; x[j] -= carry * 256; } x[j] += carry; x[i] = 0; } carry = 0; for (j = 0; j < 32; ++j) { x[j] += carry - (x[31] >> 4) * L[j]; carry = x[j] >> 8; x[j] &= 255; } for (j = 0; j < 32; ++j) { x[j] -= carry * L[j]; } for (i = 0; i < 32; ++i) { x[i + 1] += x[i] >> 8; r[i] = x[i] & 255; } } function reduce(r) { var x = new Float64Array(64); for (var i = 0; i < 64; ++i) { x[i] = r[i]; r[i] = 0; } modL(r, x); } function add(p, q) { var a = gf(), b = gf(), c = gf(), d = gf(), e = gf(), f = gf(), g = gf(), h = gf(), t = gf(); Z(a, p[1], p[0]); Z(t, q[1], q[0]); M(a, a, t); A(b, p[0], p[1]); A(t, q[0], q[1]); M(b, b, t); M(c, p[3], q[3]); M(c, c, D2); M(d, p[2], q[2]); A(d, d, d); Z(e, b, a); Z(f, d, c); A(g, d, c); A(h, b, a); M(p[0], e, f); M(p[1], h, g); M(p[2], g, f); M(p[3], e, h); } function cswap(p, q, b) { for (var i = 0; i < 4; ++i) { sel25519(p[i], q[i], b); } } function pack(r, p) { var tx = gf(), ty = gf(), zi = gf(); inv25519(zi, p[2]); M(tx, p[0], zi); M(ty, p[1], zi); pack25519(r, ty); r[31] ^= par25519(tx) << 7; } function pack25519(o, n) { var i, j, b; var m = gf(), t = gf(); for (i = 0; i < 16; ++i) { t[i] = n[i]; } car25519(t); car25519(t); car25519(t); for (j = 0; j < 2; ++j) { m[0] = t[0] - 65517; for (i = 1; i < 15; ++i) { m[i] = t[i] - 65535 - (m[i - 1] >> 16 & 1); m[i - 1] &= 65535; } m[15] = t[15] - 32767 - (m[14] >> 16 & 1); b = m[15] >> 16 & 1; m[14] &= 65535; sel25519(t, m, 1 - b); } for (i = 0; i < 16; i++) { o[2 * i] = t[i] & 255; o[2 * i + 1] = t[i] >> 8; } } function unpackneg(r, p) { var t = gf(), chk = gf(), num = gf(), den = gf(), den2 = gf(), den4 = gf(), den6 = gf(); set25519(r[2], gf1); unpack25519(r[1], p); S(num, r[1]); M(den, num, D); Z(num, num, r[2]); A(den, r[2], den); S(den2, den); S(den4, den2); M(den6, den4, den2); M(t, den6, num); M(t, t, den); pow2523(t, t); M(t, t, num); M(t, t, den); M(t, t, den); M(r[0], t, den); S(chk, r[0]); M(chk, chk, den); if (neq25519(chk, num)) { M(r[0], r[0], I); } S(chk, r[0]); M(chk, chk, den); if (neq25519(chk, num)) { return -1; } if (par25519(r[0]) === p[31] >> 7) { Z(r[0], gf0, r[0]); } M(r[3], r[0], r[1]); return 0; } function unpack25519(o, n) { var i; for (i = 0; i < 16; ++i) { o[i] = n[2 * i] + (n[2 * i + 1] << 8); } o[15] &= 32767; } function pow2523(o, i) { var c = gf(); var a; for (a = 0; a < 16; ++a) { c[a] = i[a]; } for (a = 250; a >= 0; --a) { S(c, c); if (a !== 1) { M(c, c, i); } } for (a = 0; a < 16; ++a) { o[a] = c[a]; } } function neq25519(a, b) { var c = new NativeBuffer(32); var d = new NativeBuffer(32); pack25519(c, a); pack25519(d, b); return crypto_verify_32(c, 0, d, 0); } function crypto_verify_32(x, xi, y, yi) { return vn(x, xi, y, yi, 32); } function vn(x, xi, y, yi, n) { var i, d = 0; for (i = 0; i < n; ++i) { d |= x[xi + i] ^ y[yi + i]; } return (1 & d - 1 >>> 8) - 1; } function par25519(a) { var d = new NativeBuffer(32); pack25519(d, a); return d[0] & 1; } function scalarmult(p, q, s) { var b, i; set25519(p[0], gf0); set25519(p[1], gf1); set25519(p[2], gf1); set25519(p[3], gf0); for (i = 255; i >= 0; --i) { b = s[i / 8 | 0] >> (i & 7) & 1; cswap(p, q, b); add(q, p); add(p, p); cswap(p, q, b); } } function scalarbase(p, s) { var q = [gf(), gf(), gf(), gf()]; set25519(q[0], X); set25519(q[1], Y); set25519(q[2], gf1); M(q[3], X, Y); scalarmult(p, q, s); } function set25519(r, a) { var i; for (i = 0; i < 16; i++) { r[i] = a[i] | 0; } } function inv25519(o, i) { var c = gf(); var a; for (a = 0; a < 16; ++a) { c[a] = i[a]; } for (a = 253; a >= 0; --a) { S(c, c); if (a !== 2 && a !== 4) { M(c, c, i); } } for (a = 0; a < 16; ++a) { o[a] = c[a]; } } function car25519(o) { var i, v, c = 1; for (i = 0; i < 16; ++i) { v = o[i] + c + 65535; c = Math.floor(v / 65536); o[i] = v - c * 65536; } o[0] += c - 1 + 37 * (c - 1); } function sel25519(p, q, b) { var t, c = ~(b - 1); for (var i = 0; i < 16; ++i) { t = c & (p[i] ^ q[i]); p[i] ^= t; q[i] ^= t; } } function gf(init) { var i, r = new Float64Array(16); if (init) { for (i = 0; i < init.length; ++i) { r[i] = init[i]; } } return r; } function A(o, a, b) { for (var i = 0; i < 16; ++i) { o[i] = a[i] + b[i]; } } function Z(o, a, b) { for (var i = 0; i < 16; ++i) { o[i] = a[i] - b[i]; } } function S(o, a) { M(o, a, a); } function M(o, a, b) { var v, c, t0 = 0, t1 = 0, t2 = 0, t3 = 0, t4 = 0, t5 = 0, t6 = 0, t7 = 0, t8 = 0, t9 = 0, t10 = 0, t11 = 0, t12 = 0, t13 = 0, t14 = 0, t15 = 0, t16 = 0, t17 = 0, t18 = 0, t19 = 0, t20 = 0, t21 = 0, t22 = 0, t23 = 0, t24 = 0, t25 = 0, t26 = 0, t27 = 0, t28 = 0, t29 = 0, t30 = 0, b0 = b[0], b1 = b[1], b2 = b[2], b3 = b[3], b4 = b[4], b5 = b[5], b6 = b[6], b7 = b[7], b8 = b[8], b9 = b[9], b10 = b[10], b11 = b[11], b12 = b[12], b13 = b[13], b14 = b[14], b15 = b[15]; v = a[0]; t0 += v * b0; t1 += v * b1; t2 += v * b2; t3 += v * b3; t4 += v * b4; t5 += v * b5; t6 += v * b6; t7 += v * b7; t8 += v * b8; t9 += v * b9; t10 += v * b10; t11 += v * b11; t12 += v * b12; t13 += v * b13; t14 += v * b14; t15 += v * b15; v = a[1]; t1 += v * b0; t2 += v * b1; t3 += v * b2; t4 += v * b3; t5 += v * b4; t6 += v * b5; t7 += v * b6; t8 += v * b7; t9 += v * b8; t10 += v * b9; t11 += v * b10; t12 += v * b11; t13 += v * b12; t14 += v * b13; t15 += v * b14; t16 += v * b15; v = a[2]; t2 += v * b0; t3 += v * b1; t4 += v * b2; t5 += v * b3; t6 += v * b4; t7 += v * b5; t8 += v * b6; t9 += v * b7; t10 += v * b8; t11 += v * b9; t12 += v * b10; t13 += v * b11; t14 += v * b12; t15 += v * b13; t16 += v * b14; t17 += v * b15; v = a[3]; t3 += v * b0; t4 += v * b1; t5 += v * b2; t6 += v * b3; t7 += v * b4; t8 += v * b5; t9 += v * b6; t10 += v * b7; t11 += v * b8; t12 += v * b9; t13 += v * b10; t14 += v * b11; t15 += v * b12; t16 += v * b13; t17 += v * b14; t18 += v * b15; v = a[4]; t4 += v * b0; t5 += v * b1; t6 += v * b2; t7 += v * b3; t8 += v * b4; t9 += v * b5; t10 += v * b6; t11 += v * b7; t12 += v * b8; t13 += v * b9; t14 += v * b10; t15 += v * b11; t16 += v * b12; t17 += v * b13; t18 += v * b14; t19 += v * b15; v = a[5]; t5 += v * b0; t6 += v * b1; t7 += v * b2; t8 += v * b3; t9 += v * b4; t10 += v * b5; t11 += v * b6; t12 += v * b7; t13 += v * b8; t14 += v * b9; t15 += v * b10; t16 += v * b11; t17 += v * b12; t18 += v * b13; t19 += v * b14; t20 += v * b15; v = a[6]; t6 += v * b0; t7 += v * b1; t8 += v * b2; t9 += v * b3; t10 += v * b4; t11 += v * b5; t12 += v * b6; t13 += v * b7; t14 += v * b8; t15 += v * b9; t16 += v * b10; t17 += v * b11; t18 += v * b12; t19 += v * b13; t20 += v * b14; t21 += v * b15; v = a[7]; t7 += v * b0; t8 += v * b1; t9 += v * b2; t10 += v * b3; t11 += v * b4; t12 += v * b5; t13 += v * b6; t14 += v * b7; t15 += v * b8; t16 += v * b9; t17 += v * b10; t18 += v * b11; t19 += v * b12; t20 += v * b13; t21 += v * b14; t22 += v * b15; v = a[8]; t8 += v * b0; t9 += v * b1; t10 += v * b2; t11 += v * b3; t12 += v * b4; t13 += v * b5; t14 += v * b6; t15 += v * b7; t16 += v * b8; t17 += v * b9; t18 += v * b10; t19 += v * b11; t20 += v * b12; t21 += v * b13; t22 += v * b14; t23 += v * b15; v = a[9]; t9 += v * b0; t10 += v * b1; t11 += v * b2; t12 += v * b3; t13 += v * b4; t14 += v * b5; t15 += v * b6; t16 += v * b7; t17 += v * b8; t18 += v * b9; t19 += v * b10; t20 += v * b11; t21 += v * b12; t22 += v * b13; t23 += v * b14; t24 += v * b15; v = a[10]; t10 += v * b0; t11 += v * b1; t12 += v * b2; t13 += v * b3; t14 += v * b4; t15 += v * b5; t16 += v * b6; t17 += v * b7; t18 += v * b8; t19 += v * b9; t20 += v * b10; t21 += v * b11; t22 += v * b12; t23 += v * b13; t24 += v * b14; t25 += v * b15; v = a[11]; t11 += v * b0; t12 += v * b1; t13 += v * b2; t14 += v * b3; t15 += v * b4; t16 += v * b5; t17 += v * b6; t18 += v * b7; t19 += v * b8; t20 += v * b9; t21 += v * b10; t22 += v * b11; t23 += v * b12; t24 += v * b13; t25 += v * b14; t26 += v * b15; v = a[12]; t12 += v * b0; t13 += v * b1; t14 += v * b2; t15 += v * b3; t16 += v * b4; t17 += v * b5; t18 += v * b6; t19 += v * b7; t20 += v * b8; t21 += v * b9; t22 += v * b10; t23 += v * b11; t24 += v * b12; t25 += v * b13; t26 += v * b14; t27 += v * b15; v = a[13]; t13 += v * b0; t14 += v * b1; t15 += v * b2; t16 += v * b3; t17 += v * b4; t18 += v * b5; t19 += v * b6; t20 += v * b7; t21 += v * b8; t22 += v * b9; t23 += v * b10; t24 += v * b11; t25 += v * b12; t26 += v * b13; t27 += v * b14; t28 += v * b15; v = a[14]; t14 += v * b0; t15 += v * b1; t16 += v * b2; t17 += v * b3; t18 += v * b4; t19 += v * b5; t20 += v * b6; t21 += v * b7; t22 += v * b8; t23 += v * b9; t24 += v * b10; t25 += v * b11; t26 += v * b12; t27 += v * b13; t28 += v * b14; t29 += v * b15; v = a[15]; t15 += v * b0; t16 += v * b1; t17 += v * b2; t18 += v * b3; t19 += v * b4; t20 += v * b5; t21 += v * b6; t22 += v * b7; t23 += v * b8; t24 += v * b9; t25 += v * b10; t26 += v * b11; t27 += v * b12; t28 += v * b13; t29 += v * b14; t30 += v * b15; t0 += 38 * t16; t1 += 38 * t17; t2 += 38 * t18; t3 += 38 * t19; t4 += 38 * t20; t5 += 38 * t21; t6 += 38 * t22; t7 += 38 * t23; t8 += 38 * t24; t9 += 38 * t25; t10 += 38 * t26; t11 += 38 * t27; t12 += 38 * t28; t13 += 38 * t29; t14 += 38 * t30; c = 1; v = t0 + c + 65535; c = Math.floor(v / 65536); t0 = v - c * 65536; v = t1 + c + 65535; c = Math.floor(v / 65536); t1 = v - c * 65536; v = t2 + c + 65535; c = Math.floor(v / 65536); t2 = v - c * 65536; v = t3 + c + 65535; c = Math.floor(v / 65536); t3 = v - c * 65536; v = t4 + c + 65535; c = Math.floor(v / 65536); t4 = v - c * 65536; v = t5 + c + 65535; c = Math.floor(v / 65536); t5 = v - c * 65536; v = t6 + c + 65535; c = Math.floor(v / 65536); t6 = v - c * 65536; v = t7 + c + 65535; c = Math.floor(v / 65536); t7 = v - c * 65536; v = t8 + c + 65535; c = Math.floor(v / 65536); t8 = v - c * 65536; v = t9 + c + 65535; c = Math.floor(v / 65536); t9 = v - c * 65536; v = t10 + c + 65535; c = Math.floor(v / 65536); t10 = v - c * 65536; v = t11 + c + 65535; c = Math.floor(v / 65536); t11 = v - c * 65536; v = t12 + c + 65535; c = Math.floor(v / 65536); t12 = v - c * 65536; v = t13 + c + 65535; c = Math.floor(v / 65536); t13 = v - c * 65536; v = t14 + c + 65535; c = Math.floor(v / 65536); t14 = v - c * 65536; v = t15 + c + 65535; c = Math.floor(v / 65536); t15 = v - c * 65536; t0 += c - 1 + 37 * (c - 1); c = 1; v = t0 + c + 65535; c = Math.floor(v / 65536); t0 = v - c * 65536; v = t1 + c + 65535; c = Math.floor(v / 65536); t1 = v - c * 65536; v = t2 + c + 65535; c = Math.floor(v / 65536); t2 = v - c * 65536; v = t3 + c + 65535; c = Math.floor(v / 65536); t3 = v - c * 65536; v = t4 + c + 65535; c = Math.floor(v / 65536); t4 = v - c * 65536; v = t5 + c + 65535; c = Math.floor(v / 65536); t5 = v - c * 65536; v = t6 + c + 65535; c = Math.floor(v / 65536); t6 = v - c * 65536; v = t7 + c + 65535; c = Math.floor(v / 65536); t7 = v - c * 65536; v = t8 + c + 65535; c = Math.floor(v / 65536); t8 = v - c * 65536; v = t9 + c + 65535; c = Math.floor(v / 65536); t9 = v - c * 65536; v = t10 + c + 65535; c = Math.floor(v / 65536); t10 = v - c * 65536; v = t11 + c + 65535; c = Math.floor(v / 65536); t11 = v - c * 65536; v = t12 + c + 65535; c = Math.floor(v / 65536); t12 = v - c * 65536; v = t13 + c + 65535; c = Math.floor(v / 65536); t13 = v - c * 65536; v = t14 + c + 65535; c = Math.floor(v / 65536); t14 = v - c * 65536; v = t15 + c + 65535; c = Math.floor(v / 65536); t15 = v - c * 65536; t0 += c - 1 + 37 * (c - 1); o[0] = t0; o[1] = t1; o[2] = t2; o[3] = t3; o[4] = t4; o[5] = t5; o[6] = t6; o[7] = t7; o[8] = t8; o[9] = t9; o[10] = t10; o[11] = t11; o[12] = t12; o[13] = t13; o[14] = t14; o[15] = t15; } } }); var require_kem = __commonJS({ "node_modules/node-forge/lib/kem.js"(exports2, module2) { var forge3 = require_forge(); require_util(); require_random(); require_jsbn(); module2.exports = forge3.kem = forge3.kem || {}; var BigInteger = forge3.jsbn.BigInteger; forge3.kem.rsa = {}; forge3.kem.rsa.create = function(kdf, options) { options = options || {}; var prng = options.prng || forge3.random; var kem = {}; kem.encrypt = function(publicKey, keyLength) { var byteLength = Math.ceil(publicKey.n.bitLength() / 8); var r; do { r = new BigInteger(forge3.util.bytesToHex(prng.getBytesSync(byteLength)), 16).mod(publicKey.n); } while (r.compareTo(BigInteger.ONE) <= 0); r = forge3.util.hexToBytes(r.toString(16)); var zeros = byteLength - r.length; if (zeros > 0) { r = forge3.util.fillString(String.fromCharCode(0), zeros) + r; } var encapsulation = publicKey.encrypt(r, "NONE"); var key = kdf.generate(r, keyLength); return { encapsulation, key }; }; kem.decrypt = function(privateKey, encapsulation, keyLength) { var r = privateKey.decrypt(encapsulation, "NONE"); return kdf.generate(r, keyLength); }; return kem; }; forge3.kem.kdf1 = function(md, digestLength) { _createKDF(this, md, 0, digestLength || md.digestLength); }; forge3.kem.kdf2 = function(md, digestLength) { _createKDF(this, md, 1, digestLength || md.digestLength); }; function _createKDF(kdf, md, counterStart, digestLength) { kdf.generate = function(x, length) { var key = new forge3.util.ByteBuffer(); var k = Math.ceil(length / digestLength) + counterStart; var c = new forge3.util.ByteBuffer(); for (var i = counterStart; i < k; ++i) { c.putInt32(i); md.start(); md.update(x + c.getBytes()); var hash = md.digest(); key.putBytes(hash.getBytes(digestLength)); } key.truncate(key.length() - length); return key.getBytes(); }; } } }); var require_log = __commonJS({ "node_modules/node-forge/lib/log.js"(exports2, module2) { var forge3 = require_forge(); require_util(); module2.exports = forge3.log = forge3.log || {}; forge3.log.levels = [ "none", "error", "warning", "info", "debug", "verbose", "max" ]; var sLevelInfo = {}; var sLoggers = []; var sConsoleLogger = null; forge3.log.LEVEL_LOCKED = 1 << 1; forge3.log.NO_LEVEL_CHECK = 1 << 2; forge3.log.INTERPOLATE = 1 << 3; for (i = 0; i < forge3.log.levels.length; ++i) { level = forge3.log.levels[i]; sLevelInfo[level] = { index: i, name: level.toUpperCase() }; } var level; var i; forge3.log.logMessage = function(message2) { var messageLevelIndex = sLevelInfo[message2.level].index; for (var i2 = 0; i2 < sLoggers.length; ++i2) { var logger2 = sLoggers[i2]; if (logger2.flags & forge3.log.NO_LEVEL_CHECK) { logger2.f(message2); } else { var loggerLevelIndex = sLevelInfo[logger2.level].index; if (messageLevelIndex <= loggerLevelIndex) { logger2.f(logger2, message2); } } } }; forge3.log.prepareStandard = function(message2) { if (!("standard" in message2)) { message2.standard = sLevelInfo[message2.level].name + " [" + message2.category + "] " + message2.message; } }; forge3.log.prepareFull = function(message2) { if (!("full" in message2)) { var args2 = [message2.message]; args2 = args2.concat([]); message2.full = forge3.util.format.apply(this, args2); } }; forge3.log.prepareStandardFull = function(message2) { if (!("standardFull" in message2)) { forge3.log.prepareStandard(message2); message2.standardFull = message2.standard; } }; if (true) { levels = ["error", "warning", "info", "debug", "verbose"]; for (i = 0; i < levels.length; ++i) { (function(level2) { forge3.log[level2] = function(category, message2) { var args2 = Array.prototype.slice.call(arguments).slice(2); var msg = { timestamp: new Date(), level: level2, category, message: message2, "arguments": args2 }; forge3.log.logMessage(msg); }; })(levels[i]); } } var levels; var i; forge3.log.makeLogger = function(logFunction) { var logger2 = { flags: 0, f: logFunction }; forge3.log.setLevel(logger2, "none"); return logger2; }; forge3.log.setLevel = function(logger2, level2) { var rval = false; if (logger2 && !(logger2.flags & forge3.log.LEVEL_LOCKED)) { for (var i2 = 0; i2 < forge3.log.levels.length; ++i2) { var aValidLevel = forge3.log.levels[i2]; if (level2 == aValidLevel) { logger2.level = level2; rval = true; break; } } } return rval; }; forge3.log.lock = function(logger2, lock2) { if (typeof lock2 === "undefined" || lock2) { logger2.flags |= forge3.log.LEVEL_LOCKED; } else { logger2.flags &= ~forge3.log.LEVEL_LOCKED; } }; forge3.log.addLogger = function(logger2) { sLoggers.push(logger2); }; if (typeof console !== "undefined" && "log" in console) { if (console.error && console.warn && console.info && console.debug) { levelHandlers = { error: console.error, warning: console.warn, info: console.info, debug: console.debug, verbose: console.debug }; f = function(logger2, message2) { forge3.log.prepareStandard(message2); var handler = levelHandlers[message2.level]; var args2 = [message2.standard]; args2 = args2.concat(message2["arguments"].slice()); handler.apply(console, args2); }; logger = forge3.log.makeLogger(f); } else { f = function(logger2, message2) { forge3.log.prepareStandardFull(message2); console.log(message2.standardFull); }; logger = forge3.log.makeLogger(f); } forge3.log.setLevel(logger, "debug"); forge3.log.addLogger(logger); sConsoleLogger = logger; } else { console = { log: function() { } }; } var logger; var levelHandlers; var f; if (sConsoleLogger !== null && typeof window !== "undefined" && window.location) { query = new URL(window.location.href).searchParams; if (query.has("console.level")) { forge3.log.setLevel(sConsoleLogger, query.get("console.level").slice(-1)[0]); } if (query.has("console.lock")) { lock = query.get("console.lock").slice(-1)[0]; if (lock == "true") { forge3.log.lock(sConsoleLogger); } } } var query; var lock; forge3.log.consoleLogger = sConsoleLogger; } }); var require_md_all = __commonJS({ "node_modules/node-forge/lib/md.all.js"(exports2, module2) { module2.exports = require_md(); require_md5(); require_sha1(); require_sha256(); require_sha512(); } }); var require_pkcs7 = __commonJS({ "node_modules/node-forge/lib/pkcs7.js"(exports2, module2) { var forge3 = require_forge(); require_aes(); require_asn1(); require_des(); require_oids(); require_pem(); require_pkcs7asn1(); require_random(); require_util(); require_x509(); var asn1 = forge3.asn1; var p7 = module2.exports = forge3.pkcs7 = forge3.pkcs7 || {}; p7.messageFromPem = function(pem) { var msg = forge3.pem.decode(pem)[0]; if (msg.type !== "PKCS7") { var error = new Error('Could not convert PKCS#7 message from PEM; PEM header type is not "PKCS#7".'); error.headerType = msg.type; throw error; } if (msg.procType && msg.procType.type === "ENCRYPTED") { throw new Error("Could not convert PKCS#7 message from PEM; PEM is encrypted."); } var obj = asn1.fromDer(msg.body); return p7.messageFromAsn1(obj); }; p7.messageToPem = function(msg, maxline) { var pemObj = { type: "PKCS7", body: asn1.toDer(msg.toAsn1()).getBytes() }; return forge3.pem.encode(pemObj, { maxline }); }; p7.messageFromAsn1 = function(obj) { var capture = {}; var errors = []; if (!asn1.validate(obj, p7.asn1.contentInfoValidator, capture, errors)) { var error = new Error("Cannot read PKCS#7 message. ASN.1 object is not an PKCS#7 ContentInfo."); error.errors = errors; throw error; } var contentType = asn1.derToOid(capture.contentType); var msg; switch (contentType) { case forge3.pki.oids.envelopedData: msg = p7.createEnvelopedData(); break; case forge3.pki.oids.encryptedData: msg = p7.createEncryptedData(); break; case forge3.pki.oids.signedData: msg = p7.createSignedData(); break; default: throw new Error("Cannot read PKCS#7 message. ContentType with OID " + contentType + " is not (yet) supported."); } msg.fromAsn1(capture.content.value[0]); return msg; }; p7.createSignedData = function() { var msg = null; msg = { type: forge3.pki.oids.signedData, version: 1, certificates: [], crls: [], signers: [], digestAlgorithmIdentifiers: [], contentInfo: null, signerInfos: [], fromAsn1: function(obj) { _fromAsn1(msg, obj, p7.asn1.signedDataValidator); msg.certificates = []; msg.crls = []; msg.digestAlgorithmIdentifiers = []; msg.contentInfo = null; msg.signerInfos = []; if (msg.rawCapture.certificates) { var certs = msg.rawCapture.certificates.value; for (var i = 0; i < certs.length; ++i) { msg.certificates.push(forge3.pki.certificateFromAsn1(certs[i])); } } }, toAsn1: function() { if (!msg.contentInfo) { msg.sign(); } var certs = []; for (var i = 0; i < msg.certificates.length; ++i) { certs.push(forge3.pki.certificateToAsn1(msg.certificates[i])); } var crls = []; var signedData = asn1.create(asn1.Class.CONTEXT_SPECIFIC, 0, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.INTEGER, false, asn1.integerToDer(msg.version).getBytes()), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SET, true, msg.digestAlgorithmIdentifiers), msg.contentInfo ]) ]); if (certs.length > 0) { signedData.value[0].value.push(asn1.create(asn1.Class.CONTEXT_SPECIFIC, 0, true, certs)); } if (crls.length > 0) { signedData.value[0].value.push(asn1.create(asn1.Class.CONTEXT_SPECIFIC, 1, true, crls)); } signedData.value[0].value.push(asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SET, true, msg.signerInfos)); return asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OID, false, asn1.oidToDer(msg.type).getBytes()), signedData ]); }, addSigner: function(signer) { var issuer = signer.issuer; var serialNumber = signer.serialNumber; if (signer.certificate) { var cert = signer.certificate; if (typeof cert === "string") { cert = forge3.pki.certificateFromPem(cert); } issuer = cert.issuer.attributes; serialNumber = cert.serialNumber; } var key = signer.key; if (!key) { throw new Error("Could not add PKCS#7 signer; no private key specified."); } if (typeof key === "string") { key = forge3.pki.privateKeyFromPem(key); } var digestAlgorithm = signer.digestAlgorithm || forge3.pki.oids.sha1; switch (digestAlgorithm) { case forge3.pki.oids.sha1: case forge3.pki.oids.sha256: case forge3.pki.oids.sha384: case forge3.pki.oids.sha512: case forge3.pki.oids.md5: break; default: throw new Error("Could not add PKCS#7 signer; unknown message digest algorithm: " + digestAlgorithm); } var authenticatedAttributes = signer.authenticatedAttributes || []; if (authenticatedAttributes.length > 0) { var contentType = false; var messageDigest = false; for (var i = 0; i < authenticatedAttributes.length; ++i) { var attr = authenticatedAttributes[i]; if (!contentType && attr.type === forge3.pki.oids.contentType) { contentType = true; if (messageDigest) { break; } continue; } if (!messageDigest && attr.type === forge3.pki.oids.messageDigest) { messageDigest = true; if (contentType) { break; } continue; } } if (!contentType || !messageDigest) { throw new Error("Invalid signer.authenticatedAttributes. If signer.authenticatedAttributes is specified, then it must contain at least two attributes, PKCS #9 content-type and PKCS #9 message-digest."); } } msg.signers.push({ key, version: 1, issuer, serialNumber, digestAlgorithm, signatureAlgorithm: forge3.pki.oids.rsaEncryption, signature: null, authenticatedAttributes, unauthenticatedAttributes: [] }); }, sign: function(options) { options = options || {}; if (typeof msg.content !== "object" || msg.contentInfo === null) { msg.contentInfo = asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OID, false, asn1.oidToDer(forge3.pki.oids.data).getBytes()) ]); if ("content" in msg) { var content; if (msg.content instanceof forge3.util.ByteBuffer) { content = msg.content.bytes(); } else if (typeof msg.content === "string") { content = forge3.util.encodeUtf8(msg.content); } if (options.detached) { msg.detachedContent = asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OCTETSTRING, false, content); } else { msg.contentInfo.value.push(asn1.create(asn1.Class.CONTEXT_SPECIFIC, 0, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OCTETSTRING, false, content) ])); } } } if (msg.signers.length === 0) { return; } var mds = addDigestAlgorithmIds(); addSignerInfos(mds); }, verify: function() { throw new Error("PKCS#7 signature verification not yet implemented."); }, addCertificate: function(cert) { if (typeof cert === "string") { cert = forge3.pki.certificateFromPem(cert); } msg.certificates.push(cert); }, addCertificateRevokationList: function(crl) { throw new Error("PKCS#7 CRL support not yet implemented."); } }; return msg; function addDigestAlgorithmIds() { var mds = {}; for (var i = 0; i < msg.signers.length; ++i) { var signer = msg.signers[i]; var oid = signer.digestAlgorithm; if (!(oid in mds)) { mds[oid] = forge3.md[forge3.pki.oids[oid]].create(); } if (signer.authenticatedAttributes.length === 0) { signer.md = mds[oid]; } else { signer.md = forge3.md[forge3.pki.oids[oid]].create(); } } msg.digestAlgorithmIdentifiers = []; for (var oid in mds) { msg.digestAlgorithmIdentifiers.push(asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OID, false, asn1.oidToDer(oid).getBytes()), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.NULL, false, "") ])); } return mds; } function addSignerInfos(mds) { var content; if (msg.detachedContent) { content = msg.detachedContent; } else { content = msg.contentInfo.value[1]; content = content.value[0]; } if (!content) { throw new Error("Could not sign PKCS#7 message; there is no content to sign."); } var contentType = asn1.derToOid(msg.contentInfo.value[0].value); var bytes = asn1.toDer(content); bytes.getByte(); asn1.getBerValueLength(bytes); bytes = bytes.getBytes(); for (var oid in mds) { mds[oid].start().update(bytes); } var signingTime = new Date(); for (var i = 0; i < msg.signers.length; ++i) { var signer = msg.signers[i]; if (signer.authenticatedAttributes.length === 0) { if (contentType !== forge3.pki.oids.data) { throw new Error("Invalid signer; authenticatedAttributes must be present when the ContentInfo content type is not PKCS#7 Data."); } } else { signer.authenticatedAttributesAsn1 = asn1.create(asn1.Class.CONTEXT_SPECIFIC, 0, true, []); var attrsAsn1 = asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SET, true, []); for (var ai = 0; ai < signer.authenticatedAttributes.length; ++ai) { var attr = signer.authenticatedAttributes[ai]; if (attr.type === forge3.pki.oids.messageDigest) { attr.value = mds[signer.digestAlgorithm].digest(); } else if (attr.type === forge3.pki.oids.signingTime) { if (!attr.value) { attr.value = signingTime; } } attrsAsn1.value.push(_attributeToAsn1(attr)); signer.authenticatedAttributesAsn1.value.push(_attributeToAsn1(attr)); } bytes = asn1.toDer(attrsAsn1).getBytes(); signer.md.start().update(bytes); } signer.signature = signer.key.sign(signer.md, "RSASSA-PKCS1-V1_5"); } msg.signerInfos = _signersToAsn1(msg.signers); } }; p7.createEncryptedData = function() { var msg = null; msg = { type: forge3.pki.oids.encryptedData, version: 0, encryptedContent: { algorithm: forge3.pki.oids["aes256-CBC"] }, fromAsn1: function(obj) { _fromAsn1(msg, obj, p7.asn1.encryptedDataValidator); }, decrypt: function(key) { if (key !== void 0) { msg.encryptedContent.key = key; } _decryptContent(msg); } }; return msg; }; p7.createEnvelopedData = function() { var msg = null; msg = { type: forge3.pki.oids.envelopedData, version: 0, recipients: [], encryptedContent: { algorithm: forge3.pki.oids["aes256-CBC"] }, fromAsn1: function(obj) { var capture = _fromAsn1(msg, obj, p7.asn1.envelopedDataValidator); msg.recipients = _recipientsFromAsn1(capture.recipientInfos.value); }, toAsn1: function() { return asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OID, false, asn1.oidToDer(msg.type).getBytes()), asn1.create(asn1.Class.CONTEXT_SPECIFIC, 0, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.INTEGER, false, asn1.integerToDer(msg.version).getBytes()), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SET, true, _recipientsToAsn1(msg.recipients)), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, _encryptedContentToAsn1(msg.encryptedContent)) ]) ]) ]); }, findRecipient: function(cert) { var sAttr = cert.issuer.attributes; for (var i = 0; i < msg.recipients.length; ++i) { var r = msg.recipients[i]; var rAttr = r.issuer; if (r.serialNumber !== cert.serialNumber) { continue; } if (rAttr.length !== sAttr.length) { continue; } var match = true; for (var j = 0; j < sAttr.length; ++j) { if (rAttr[j].type !== sAttr[j].type || rAttr[j].value !== sAttr[j].value) { match = false; break; } } if (match) { return r; } } return null; }, decrypt: function(recipient, privKey) { if (msg.encryptedContent.key === void 0 && recipient !== void 0 && privKey !== void 0) { switch (recipient.encryptedContent.algorithm) { case forge3.pki.oids.rsaEncryption: case forge3.pki.oids.desCBC: var key = privKey.decrypt(recipient.encryptedContent.content); msg.encryptedContent.key = forge3.util.createBuffer(key); break; default: throw new Error("Unsupported asymmetric cipher, OID " + recipient.encryptedContent.algorithm); } } _decryptContent(msg); }, addRecipient: function(cert) { msg.recipients.push({ version: 0, issuer: cert.issuer.attributes, serialNumber: cert.serialNumber, encryptedContent: { algorithm: forge3.pki.oids.rsaEncryption, key: cert.publicKey } }); }, encrypt: function(key, cipher) { if (msg.encryptedContent.content === void 0) { cipher = cipher || msg.encryptedContent.algorithm; key = key || msg.encryptedContent.key; var keyLen, ivLen, ciphFn; switch (cipher) { case forge3.pki.oids["aes128-CBC"]: keyLen = 16; ivLen = 16; ciphFn = forge3.aes.createEncryptionCipher; break; case forge3.pki.oids["aes192-CBC"]: keyLen = 24; ivLen = 16; ciphFn = forge3.aes.createEncryptionCipher; break; case forge3.pki.oids["aes256-CBC"]: keyLen = 32; ivLen = 16; ciphFn = forge3.aes.createEncryptionCipher; break; case forge3.pki.oids["des-EDE3-CBC"]: keyLen = 24; ivLen = 8; ciphFn = forge3.des.createEncryptionCipher; break; default: throw new Error("Unsupported symmetric cipher, OID " + cipher); } if (key === void 0) { key = forge3.util.createBuffer(forge3.random.getBytes(keyLen)); } else if (key.length() != keyLen) { throw new Error("Symmetric key has wrong length; got " + key.length() + " bytes, expected " + keyLen + "."); } msg.encryptedContent.algorithm = cipher; msg.encryptedContent.key = key; msg.encryptedContent.parameter = forge3.util.createBuffer(forge3.random.getBytes(ivLen)); var ciph = ciphFn(key); ciph.start(msg.encryptedContent.parameter.copy()); ciph.update(msg.content); if (!ciph.finish()) { throw new Error("Symmetric encryption failed."); } msg.encryptedContent.content = ciph.output; } for (var i = 0; i < msg.recipients.length; ++i) { var recipient = msg.recipients[i]; if (recipient.encryptedContent.content !== void 0) { continue; } switch (recipient.encryptedContent.algorithm) { case forge3.pki.oids.rsaEncryption: recipient.encryptedContent.content = recipient.encryptedContent.key.encrypt(msg.encryptedContent.key.data); break; default: throw new Error("Unsupported asymmetric cipher, OID " + recipient.encryptedContent.algorithm); } } } }; return msg; }; function _recipientFromAsn1(obj) { var capture = {}; var errors = []; if (!asn1.validate(obj, p7.asn1.recipientInfoValidator, capture, errors)) { var error = new Error("Cannot read PKCS#7 RecipientInfo. ASN.1 object is not an PKCS#7 RecipientInfo."); error.errors = errors; throw error; } return { version: capture.version.charCodeAt(0), issuer: forge3.pki.RDNAttributesAsArray(capture.issuer), serialNumber: forge3.util.createBuffer(capture.serial).toHex(), encryptedContent: { algorithm: asn1.derToOid(capture.encAlgorithm), parameter: capture.encParameter ? capture.encParameter.value : void 0, content: capture.encKey } }; } function _recipientToAsn1(obj) { return asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.INTEGER, false, asn1.integerToDer(obj.version).getBytes()), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ forge3.pki.distinguishedNameToAsn1({ attributes: obj.issuer }), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.INTEGER, false, forge3.util.hexToBytes(obj.serialNumber)) ]), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OID, false, asn1.oidToDer(obj.encryptedContent.algorithm).getBytes()), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.NULL, false, "") ]), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OCTETSTRING, false, obj.encryptedContent.content) ]); } function _recipientsFromAsn1(infos) { var ret = []; for (var i = 0; i < infos.length; ++i) { ret.push(_recipientFromAsn1(infos[i])); } return ret; } function _recipientsToAsn1(recipients) { var ret = []; for (var i = 0; i < recipients.length; ++i) { ret.push(_recipientToAsn1(recipients[i])); } return ret; } function _signerToAsn1(obj) { var rval = asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.INTEGER, false, asn1.integerToDer(obj.version).getBytes()), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ forge3.pki.distinguishedNameToAsn1({ attributes: obj.issuer }), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.INTEGER, false, forge3.util.hexToBytes(obj.serialNumber)) ]), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OID, false, asn1.oidToDer(obj.digestAlgorithm).getBytes()), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.NULL, false, "") ]) ]); if (obj.authenticatedAttributesAsn1) { rval.value.push(obj.authenticatedAttributesAsn1); } rval.value.push(asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OID, false, asn1.oidToDer(obj.signatureAlgorithm).getBytes()), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.NULL, false, "") ])); rval.value.push(asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OCTETSTRING, false, obj.signature)); if (obj.unauthenticatedAttributes.length > 0) { var attrsAsn1 = asn1.create(asn1.Class.CONTEXT_SPECIFIC, 1, true, []); for (var i = 0; i < obj.unauthenticatedAttributes.length; ++i) { var attr = obj.unauthenticatedAttributes[i]; attrsAsn1.values.push(_attributeToAsn1(attr)); } rval.value.push(attrsAsn1); } return rval; } function _signersToAsn1(signers) { var ret = []; for (var i = 0; i < signers.length; ++i) { ret.push(_signerToAsn1(signers[i])); } return ret; } function _attributeToAsn1(attr) { var value; if (attr.type === forge3.pki.oids.contentType) { value = asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OID, false, asn1.oidToDer(attr.value).getBytes()); } else if (attr.type === forge3.pki.oids.messageDigest) { value = asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OCTETSTRING, false, attr.value.bytes()); } else if (attr.type === forge3.pki.oids.signingTime) { var jan_1_1950 = new Date("1950-01-01T00:00:00Z"); var jan_1_2050 = new Date("2050-01-01T00:00:00Z"); var date = attr.value; if (typeof date === "string") { var timestamp = Date.parse(date); if (!isNaN(timestamp)) { date = new Date(timestamp); } else if (date.length === 13) { date = asn1.utcTimeToDate(date); } else { date = asn1.generalizedTimeToDate(date); } } if (date >= jan_1_1950 && date < jan_1_2050) { value = asn1.create(asn1.Class.UNIVERSAL, asn1.Type.UTCTIME, false, asn1.dateToUtcTime(date)); } else { value = asn1.create(asn1.Class.UNIVERSAL, asn1.Type.GENERALIZEDTIME, false, asn1.dateToGeneralizedTime(date)); } } return asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OID, false, asn1.oidToDer(attr.type).getBytes()), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SET, true, [ value ]) ]); } function _encryptedContentToAsn1(ec) { return [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OID, false, asn1.oidToDer(forge3.pki.oids.data).getBytes()), asn1.create(asn1.Class.UNIVERSAL, asn1.Type.SEQUENCE, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OID, false, asn1.oidToDer(ec.algorithm).getBytes()), !ec.parameter ? void 0 : asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OCTETSTRING, false, ec.parameter.getBytes()) ]), asn1.create(asn1.Class.CONTEXT_SPECIFIC, 0, true, [ asn1.create(asn1.Class.UNIVERSAL, asn1.Type.OCTETSTRING, false, ec.content.getBytes()) ]) ]; } function _fromAsn1(msg, obj, validator) { var capture = {}; var errors = []; if (!asn1.validate(obj, validator, capture, errors)) { var error = new Error("Cannot read PKCS#7 message. ASN.1 object is not a supported PKCS#7 message."); error.errors = error; throw error; } var contentType = asn1.derToOid(capture.contentType); if (contentType !== forge3.pki.oids.data) { throw new Error("Unsupported PKCS#7 message. Only wrapped ContentType Data supported."); } if (capture.encryptedContent) { var content = ""; if (forge3.util.isArray(capture.encryptedContent)) { for (var i = 0; i < capture.encryptedContent.length; ++i) { if (capture.encryptedContent[i].type !== asn1.Type.OCTETSTRING) { throw new Error("Malformed PKCS#7 message, expecting encrypted content constructed of only OCTET STRING objects."); } content += capture.encryptedContent[i].value; } } else { content = capture.encryptedContent; } msg.encryptedContent = { algorithm: asn1.derToOid(capture.encAlgorithm), parameter: forge3.util.createBuffer(capture.encParameter.value), content: forge3.util.createBuffer(content) }; } if (capture.content) { var content = ""; if (forge3.util.isArray(capture.content)) { for (var i = 0; i < capture.content.length; ++i) { if (capture.content[i].type !== asn1.Type.OCTETSTRING) { throw new Error("Malformed PKCS#7 message, expecting content constructed of only OCTET STRING objects."); } content += capture.content[i].value; } } else { content = capture.content; } msg.content = forge3.util.createBuffer(content); } msg.version = capture.version.charCodeAt(0); msg.rawCapture = capture; return capture; } function _decryptContent(msg) { if (msg.encryptedContent.key === void 0) { throw new Error("Symmetric key not available."); } if (msg.content === void 0) { var ciph; switch (msg.encryptedContent.algorithm) { case forge3.pki.oids["aes128-CBC"]: case forge3.pki.oids["aes192-CBC"]: case forge3.pki.oids["aes256-CBC"]: ciph = forge3.aes.createDecryptionCipher(msg.encryptedContent.key); break; case forge3.pki.oids["desCBC"]: case forge3.pki.oids["des-EDE3-CBC"]: ciph = forge3.des.createDecryptionCipher(msg.encryptedContent.key); break; default: throw new Error("Unsupported symmetric cipher, OID " + msg.encryptedContent.algorithm); } ciph.start(msg.encryptedContent.parameter); ciph.update(msg.encryptedContent.content); if (!ciph.finish()) { throw new Error("Symmetric decryption failed."); } msg.content = ciph.output; } } } }); var require_ssh = __commonJS({ "node_modules/node-forge/lib/ssh.js"(exports2, module2) { var forge3 = require_forge(); require_aes(); require_hmac(); require_md5(); require_sha1(); require_util(); var ssh = module2.exports = forge3.ssh = forge3.ssh || {}; ssh.privateKeyToPutty = function(privateKey, passphrase, comment) { comment = comment || ""; passphrase = passphrase || ""; var algorithm = "ssh-rsa"; var encryptionAlgorithm = passphrase === "" ? "none" : "aes256-cbc"; var ppk = "PuTTY-User-Key-File-2: " + algorithm + "\r\n"; ppk += "Encryption: " + encryptionAlgorithm + "\r\n"; ppk += "Comment: " + comment + "\r\n"; var pubbuffer = forge3.util.createBuffer(); _addStringToBuffer(pubbuffer, algorithm); _addBigIntegerToBuffer(pubbuffer, privateKey.e); _addBigIntegerToBuffer(pubbuffer, privateKey.n); var pub = forge3.util.encode64(pubbuffer.bytes(), 64); var length = Math.floor(pub.length / 66) + 1; ppk += "Public-Lines: " + length + "\r\n"; ppk += pub; var privbuffer = forge3.util.createBuffer(); _addBigIntegerToBuffer(privbuffer, privateKey.d); _addBigIntegerToBuffer(privbuffer, privateKey.p); _addBigIntegerToBuffer(privbuffer, privateKey.q); _addBigIntegerToBuffer(privbuffer, privateKey.qInv); var priv; if (!passphrase) { priv = forge3.util.encode64(privbuffer.bytes(), 64); } else { var encLen = privbuffer.length() + 16 - 1; encLen -= encLen % 16; var padding = _sha1(privbuffer.bytes()); padding.truncate(padding.length() - encLen + privbuffer.length()); privbuffer.putBuffer(padding); var aeskey = forge3.util.createBuffer(); aeskey.putBuffer(_sha1("\0\0\0\0", passphrase)); aeskey.putBuffer(_sha1("\0\0\0", passphrase)); var cipher = forge3.aes.createEncryptionCipher(aeskey.truncate(8), "CBC"); cipher.start(forge3.util.createBuffer().fillWithByte(0, 16)); cipher.update(privbuffer.copy()); cipher.finish(); var encrypted = cipher.output; encrypted.truncate(16); priv = forge3.util.encode64(encrypted.bytes(), 64); } length = Math.floor(priv.length / 66) + 1; ppk += "\r\nPrivate-Lines: " + length + "\r\n"; ppk += priv; var mackey = _sha1("putty-private-key-file-mac-key", passphrase); var macbuffer = forge3.util.createBuffer(); _addStringToBuffer(macbuffer, algorithm); _addStringToBuffer(macbuffer, encryptionAlgorithm); _addStringToBuffer(macbuffer, comment); macbuffer.putInt32(pubbuffer.length()); macbuffer.putBuffer(pubbuffer); macbuffer.putInt32(privbuffer.length()); macbuffer.putBuffer(privbuffer); var hmac = forge3.hmac.create(); hmac.start("sha1", mackey); hmac.update(macbuffer.bytes()); ppk += "\r\nPrivate-MAC: " + hmac.digest().toHex() + "\r\n"; return ppk; }; ssh.publicKeyToOpenSSH = function(key, comment) { var type = "ssh-rsa"; comment = comment || ""; var buffer = forge3.util.createBuffer(); _addStringToBuffer(buffer, type); _addBigIntegerToBuffer(buffer, key.e); _addBigIntegerToBuffer(buffer, key.n); return type + " " + forge3.util.encode64(buffer.bytes()) + " " + comment; }; ssh.privateKeyToOpenSSH = function(privateKey, passphrase) { if (!passphrase) { return forge3.pki.privateKeyToPem(privateKey); } return forge3.pki.encryptRsaPrivateKey(privateKey, passphrase, { legacy: true, algorithm: "aes128" }); }; ssh.getPublicKeyFingerprint = function(key, options) { options = options || {}; var md = options.md || forge3.md.md5.create(); var type = "ssh-rsa"; var buffer = forge3.util.createBuffer(); _addStringToBuffer(buffer, type); _addBigIntegerToBuffer(buffer, key.e); _addBigIntegerToBuffer(buffer, key.n); md.start(); md.update(buffer.getBytes()); var digest = md.digest(); if (options.encoding === "hex") { var hex = digest.toHex(); if (options.delimiter) { return hex.match(/.{2}/g).join(options.delimiter); } return hex; } else if (options.encoding === "binary") { return digest.getBytes(); } else if (options.encoding) { throw new Error('Unknown encoding "' + options.encoding + '".'); } return digest; }; function _addBigIntegerToBuffer(buffer, val) { var hexVal = val.toString(16); if (hexVal[0] >= "8") { hexVal = "00" + hexVal; } var bytes = forge3.util.hexToBytes(hexVal); buffer.putInt32(bytes.length); buffer.putBytes(bytes); } function _addStringToBuffer(buffer, val) { buffer.putInt32(val.length); buffer.putString(val); } function _sha1() { var sha = forge3.md.sha1.create(); var num = arguments.length; for (var i = 0; i < num; ++i) { sha.update(arguments[i]); } return sha.digest(); } } }); var require_lib = __commonJS({ "node_modules/node-forge/lib/index.js"(exports2, module2) { module2.exports = require_forge(); require_aes(); require_aesCipherSuites(); require_asn1(); require_cipher(); require_des(); require_ed25519(); require_hmac(); require_kem(); require_log(); require_md_all(); require_mgf1(); require_pbkdf2(); require_pem(); require_pkcs1(); require_pkcs12(); require_pkcs7(); require_pki(); require_prime(); require_prng(); require_pss(); require_random(); require_rc2(); require_ssh(); require_tls(); require_util(); } }); var require_main = __commonJS({ "node_modules/obsidian-daily-notes-interface/dist/main.js"(exports2) { "use strict"; Object.defineProperty(exports2, "__esModule", { value: true }); var obsidian = require("obsidian"); var DEFAULT_DAILY_NOTE_FORMAT = "YYYY-MM-DD"; var DEFAULT_WEEKLY_NOTE_FORMAT = "gggg-[W]ww"; var DEFAULT_MONTHLY_NOTE_FORMAT = "YYYY-MM"; var DEFAULT_QUARTERLY_NOTE_FORMAT = "YYYY-[Q]Q"; var DEFAULT_YEARLY_NOTE_FORMAT = "YYYY"; function shouldUsePeriodicNotesSettings(periodicity) { var _a, _b; const periodicNotes2 = window.app.plugins.getPlugin("periodic-notes"); return periodicNotes2 && ((_b = (_a = periodicNotes2.settings) == null ? void 0 : _a[periodicity]) == null ? void 0 : _b.enabled); } function getDailyNoteSettings() { var _a, _b, _c, _d; try { const { internalPlugins, plugins } = window.app; if (shouldUsePeriodicNotesSettings("daily")) { const { format: format2, folder: folder2, template: template2 } = ((_b = (_a = plugins.getPlugin("periodic-notes")) == null ? void 0 : _a.settings) == null ? void 0 : _b.daily) || {}; return { format: format2 || DEFAULT_DAILY_NOTE_FORMAT, folder: (folder2 == null ? void 0 : folder2.trim()) || "", template: (template2 == null ? void 0 : template2.trim()) || "" }; } const { folder, format, template } = ((_d = (_c = internalPlugins.getPluginById("daily-notes")) == null ? void 0 : _c.instance) == null ? void 0 : _d.options) || {}; return { format: format || DEFAULT_DAILY_NOTE_FORMAT, folder: (folder == null ? void 0 : folder.trim()) || "", template: (template == null ? void 0 : template.trim()) || "" }; } catch (err) { console.info("No custom daily note settings found!", err); } } function getWeeklyNoteSettings() { var _a, _b, _c, _d, _e, _f, _g; try { const pluginManager = window.app.plugins; const calendarSettings = (_a = pluginManager.getPlugin("calendar")) == null ? void 0 : _a.options; const periodicNotesSettings = (_c = (_b = pluginManager.getPlugin("periodic-notes")) == null ? void 0 : _b.settings) == null ? void 0 : _c.weekly; if (shouldUsePeriodicNotesSettings("weekly")) { return { format: periodicNotesSettings.format || DEFAULT_WEEKLY_NOTE_FORMAT, folder: ((_d = periodicNotesSettings.folder) == null ? void 0 : _d.trim()) || "", template: ((_e = periodicNotesSettings.template) == null ? void 0 : _e.trim()) || "" }; } const settings = calendarSettings || {}; return { format: settings.weeklyNoteFormat || DEFAULT_WEEKLY_NOTE_FORMAT, folder: ((_f = settings.weeklyNoteFolder) == null ? void 0 : _f.trim()) || "", template: ((_g = settings.weeklyNoteTemplate) == null ? void 0 : _g.trim()) || "" }; } catch (err) { console.info("No custom weekly note settings found!", err); } } function getMonthlyNoteSettings() { var _a, _b, _c, _d; const pluginManager = window.app.plugins; try { const settings = shouldUsePeriodicNotesSettings("monthly") && ((_b = (_a = pluginManager.getPlugin("periodic-notes")) == null ? void 0 : _a.settings) == null ? void 0 : _b.monthly) || {}; return { format: settings.format || DEFAULT_MONTHLY_NOTE_FORMAT, folder: ((_c = settings.folder) == null ? void 0 : _c.trim()) || "", template: ((_d = settings.template) == null ? void 0 : _d.trim()) || "" }; } catch (err) { console.info("No custom monthly note settings found!", err); } } function getQuarterlyNoteSettings() { var _a, _b, _c, _d; const pluginManager = window.app.plugins; try { const settings = shouldUsePeriodicNotesSettings("quarterly") && ((_b = (_a = pluginManager.getPlugin("periodic-notes")) == null ? void 0 : _a.settings) == null ? void 0 : _b.quarterly) || {}; return { format: settings.format || DEFAULT_QUARTERLY_NOTE_FORMAT, folder: ((_c = settings.folder) == null ? void 0 : _c.trim()) || "", template: ((_d = settings.template) == null ? void 0 : _d.trim()) || "" }; } catch (err) { console.info("No custom quarterly note settings found!", err); } } function getYearlyNoteSettings() { var _a, _b, _c, _d; const pluginManager = window.app.plugins; try { const settings = shouldUsePeriodicNotesSettings("yearly") && ((_b = (_a = pluginManager.getPlugin("periodic-notes")) == null ? void 0 : _a.settings) == null ? void 0 : _b.yearly) || {}; return { format: settings.format || DEFAULT_YEARLY_NOTE_FORMAT, folder: ((_c = settings.folder) == null ? void 0 : _c.trim()) || "", template: ((_d = settings.template) == null ? void 0 : _d.trim()) || "" }; } catch (err) { console.info("No custom yearly note settings found!", err); } } function join(...partSegments) { let parts = []; for (let i = 0, l = partSegments.length; i < l; i++) { parts = parts.concat(partSegments[i].split("/")); } const newParts = []; for (let i = 0, l = parts.length; i < l; i++) { const part = parts[i]; if (!part || part === ".") continue; else newParts.push(part); } if (parts[0] === "") newParts.unshift(""); return newParts.join("/"); } function basename(fullPath) { let base = fullPath.substring(fullPath.lastIndexOf("/") + 1); if (base.lastIndexOf(".") != -1) base = base.substring(0, base.lastIndexOf(".")); return base; } function ensureFolderExists(path2) { return __async(this, null, function* () { const dirs = path2.replace(/\\/g, "/").split("/"); dirs.pop(); if (dirs.length) { const dir = join(...dirs); if (!window.app.vault.getAbstractFileByPath(dir)) { yield window.app.vault.createFolder(dir); } } }); } function getNotePath(directory, filename) { return __async(this, null, function* () { if (!filename.endsWith(".md")) { filename += ".md"; } const path2 = obsidian.normalizePath(join(directory, filename)); yield ensureFolderExists(path2); return path2; }); } function getTemplateInfo(template) { return __async(this, null, function* () { const { metadataCache, vault } = window.app; const templatePath = obsidian.normalizePath(template); if (templatePath === "/") { return Promise.resolve(["", null]); } try { const templateFile = metadataCache.getFirstLinkpathDest(templatePath, ""); const contents = yield vault.cachedRead(templateFile); const IFoldInfo = window.app.foldManager.load(templateFile); return [contents, IFoldInfo]; } catch (err) { console.error(`Failed to read the daily note template '${templatePath}'`, err); new obsidian.Notice("Failed to read the daily note template"); return ["", null]; } }); } function getDateUID(date, granularity = "day") { const ts = date.clone().startOf(granularity).format(); return `${granularity}-${ts}`; } function removeEscapedCharacters(format) { return format.replace(/\[[^\]]*\]/g, ""); } function isFormatAmbiguous(format, granularity) { if (granularity === "week") { const cleanFormat = removeEscapedCharacters(format); return /w{1,2}/i.test(cleanFormat) && (/M{1,4}/.test(cleanFormat) || /D{1,4}/.test(cleanFormat)); } return false; } function getDateFromFile(file, granularity) { return getDateFromFilename(file.basename, granularity); } function getDateFromPath(path2, granularity) { return getDateFromFilename(basename(path2), granularity); } function getDateFromFilename(filename, granularity) { const getSettings = { day: getDailyNoteSettings, week: getWeeklyNoteSettings, month: getMonthlyNoteSettings, quarter: getQuarterlyNoteSettings, year: getYearlyNoteSettings }; const format = getSettings[granularity]().format.split("/").pop(); const noteDate = window.moment(filename, format, true); if (!noteDate.isValid()) { return null; } if (isFormatAmbiguous(format, granularity)) { if (granularity === "week") { const cleanFormat = removeEscapedCharacters(format); if (/w{1,2}/i.test(cleanFormat)) { return window.moment(filename, format.replace(/M{1,4}/g, "").replace(/D{1,4}/g, ""), false); } } } return noteDate; } var DailyNotesFolderMissingError = class extends Error { }; function createDailyNote(date) { return __async(this, null, function* () { const app = window.app; const { vault } = app; const moment = window.moment; const { template, format, folder } = getDailyNoteSettings(); const [templateContents, IFoldInfo] = yield getTemplateInfo(template); const filename = date.format(format); const normalizedPath = yield getNotePath(folder, filename); try { const createdFile = yield vault.create(normalizedPath, templateContents.replace(/{{\s*date\s*}}/gi, filename).replace(/{{\s*time\s*}}/gi, moment().format("HH:mm")).replace(/{{\s*title\s*}}/gi, filename).replace(/{{\s*(date|time)\s*(([+-]\d+)([yqmwdhs]))?\s*(:.+?)?}}/gi, (_, _timeOrDate, calc, timeDelta, unit, momentFormat) => { const now = moment(); const currentDate = date.clone().set({ hour: now.get("hour"), minute: now.get("minute"), second: now.get("second") }); if (calc) { currentDate.add(parseInt(timeDelta, 10), unit); } if (momentFormat) { return currentDate.format(momentFormat.substring(1).trim()); } return currentDate.format(format); }).replace(/{{\s*yesterday\s*}}/gi, date.clone().subtract(1, "day").format(format)).replace(/{{\s*tomorrow\s*}}/gi, date.clone().add(1, "d").format(format))); app.foldManager.save(createdFile, IFoldInfo); return createdFile; } catch (err) { console.error(`Failed to create file: '${normalizedPath}'`, err); new obsidian.Notice("Unable to create new file."); } }); } function getDailyNote(date, dailyNotes) { var _a; return (_a = dailyNotes[getDateUID(date, "day")]) != null ? _a : null; } function getAllDailyNotes() { const { vault } = window.app; const { folder } = getDailyNoteSettings(); const dailyNotesFolder = vault.getAbstractFileByPath(obsidian.normalizePath(folder)); if (!dailyNotesFolder) { throw new DailyNotesFolderMissingError("Failed to find daily notes folder"); } const dailyNotes = {}; obsidian.Vault.recurseChildren(dailyNotesFolder, (note) => { if (note instanceof obsidian.TFile) { const date = getDateFromFile(note, "day"); if (date) { const dateString = getDateUID(date, "day"); dailyNotes[dateString] = note; } } }); return dailyNotes; } var WeeklyNotesFolderMissingError = class extends Error { }; function getDaysOfWeek() { const { moment } = window; let weekStart = moment.localeData()._week.dow; const daysOfWeek = [ "sunday", "monday", "tuesday", "wednesday", "thursday", "friday", "saturday" ]; while (weekStart) { daysOfWeek.push(daysOfWeek.shift()); weekStart--; } return daysOfWeek; } function getDayOfWeekNumericalValue(dayOfWeekName) { return getDaysOfWeek().indexOf(dayOfWeekName.toLowerCase()); } function createWeeklyNote(date) { return __async(this, null, function* () { const { vault } = window.app; const { template, format, folder } = getWeeklyNoteSettings(); const [templateContents, IFoldInfo] = yield getTemplateInfo(template); const filename = date.format(format); const normalizedPath = yield getNotePath(folder, filename); try { const createdFile = yield vault.create(normalizedPath, templateContents.replace(/{{\s*(date|time)\s*(([+-]\d+)([yqmwdhs]))?\s*(:.+?)?}}/gi, (_, _timeOrDate, calc, timeDelta, unit, momentFormat) => { const now = window.moment(); const currentDate = date.clone().set({ hour: now.get("hour"), minute: now.get("minute"), second: now.get("second") }); if (calc) { currentDate.add(parseInt(timeDelta, 10), unit); } if (momentFormat) { return currentDate.format(momentFormat.substring(1).trim()); } return currentDate.format(format); }).replace(/{{\s*title\s*}}/gi, filename).replace(/{{\s*time\s*}}/gi, window.moment().format("HH:mm")).replace(/{{\s*(sunday|monday|tuesday|wednesday|thursday|friday|saturday)\s*:(.*?)}}/gi, (_, dayOfWeek, momentFormat) => { const day = getDayOfWeekNumericalValue(dayOfWeek); return date.weekday(day).format(momentFormat.trim()); })); window.app.foldManager.save(createdFile, IFoldInfo); return createdFile; } catch (err) { console.error(`Failed to create file: '${normalizedPath}'`, err); new obsidian.Notice("Unable to create new file."); } }); } function getWeeklyNote(date, weeklyNotes) { var _a; return (_a = weeklyNotes[getDateUID(date, "week")]) != null ? _a : null; } function getAllWeeklyNotes() { const weeklyNotes = {}; if (!appHasWeeklyNotesPluginLoaded()) { return weeklyNotes; } const { vault } = window.app; const { folder } = getWeeklyNoteSettings(); const weeklyNotesFolder = vault.getAbstractFileByPath(obsidian.normalizePath(folder)); if (!weeklyNotesFolder) { throw new WeeklyNotesFolderMissingError("Failed to find weekly notes folder"); } obsidian.Vault.recurseChildren(weeklyNotesFolder, (note) => { if (note instanceof obsidian.TFile) { const date = getDateFromFile(note, "week"); if (date) { const dateString = getDateUID(date, "week"); weeklyNotes[dateString] = note; } } }); return weeklyNotes; } var MonthlyNotesFolderMissingError = class extends Error { }; function createMonthlyNote(date) { return __async(this, null, function* () { const { vault } = window.app; const { template, format, folder } = getMonthlyNoteSettings(); const [templateContents, IFoldInfo] = yield getTemplateInfo(template); const filename = date.format(format); const normalizedPath = yield getNotePath(folder, filename); try { const createdFile = yield vault.create(normalizedPath, templateContents.replace(/{{\s*(date|time)\s*(([+-]\d+)([yqmwdhs]))?\s*(:.+?)?}}/gi, (_, _timeOrDate, calc, timeDelta, unit, momentFormat) => { const now = window.moment(); const currentDate = date.clone().set({ hour: now.get("hour"), minute: now.get("minute"), second: now.get("second") }); if (calc) { currentDate.add(parseInt(timeDelta, 10), unit); } if (momentFormat) { return currentDate.format(momentFormat.substring(1).trim()); } return currentDate.format(format); }).replace(/{{\s*date\s*}}/gi, filename).replace(/{{\s*time\s*}}/gi, window.moment().format("HH:mm")).replace(/{{\s*title\s*}}/gi, filename)); window.app.foldManager.save(createdFile, IFoldInfo); return createdFile; } catch (err) { console.error(`Failed to create file: '${normalizedPath}'`, err); new obsidian.Notice("Unable to create new file."); } }); } function getMonthlyNote(date, monthlyNotes) { var _a; return (_a = monthlyNotes[getDateUID(date, "month")]) != null ? _a : null; } function getAllMonthlyNotes() { const monthlyNotes = {}; if (!appHasMonthlyNotesPluginLoaded()) { return monthlyNotes; } const { vault } = window.app; const { folder } = getMonthlyNoteSettings(); const monthlyNotesFolder = vault.getAbstractFileByPath(obsidian.normalizePath(folder)); if (!monthlyNotesFolder) { throw new MonthlyNotesFolderMissingError("Failed to find monthly notes folder"); } obsidian.Vault.recurseChildren(monthlyNotesFolder, (note) => { if (note instanceof obsidian.TFile) { const date = getDateFromFile(note, "month"); if (date) { const dateString = getDateUID(date, "month"); monthlyNotes[dateString] = note; } } }); return monthlyNotes; } var QuarterlyNotesFolderMissingError = class extends Error { }; function createQuarterlyNote(date) { return __async(this, null, function* () { const { vault } = window.app; const { template, format, folder } = getQuarterlyNoteSettings(); const [templateContents, IFoldInfo] = yield getTemplateInfo(template); const filename = date.format(format); const normalizedPath = yield getNotePath(folder, filename); try { const createdFile = yield vault.create(normalizedPath, templateContents.replace(/{{\s*(date|time)\s*(([+-]\d+)([yqmwdhs]))?\s*(:.+?)?}}/gi, (_, _timeOrDate, calc, timeDelta, unit, momentFormat) => { const now = window.moment(); const currentDate = date.clone().set({ hour: now.get("hour"), minute: now.get("minute"), second: now.get("second") }); if (calc) { currentDate.add(parseInt(timeDelta, 10), unit); } if (momentFormat) { return currentDate.format(momentFormat.substring(1).trim()); } return currentDate.format(format); }).replace(/{{\s*date\s*}}/gi, filename).replace(/{{\s*time\s*}}/gi, window.moment().format("HH:mm")).replace(/{{\s*title\s*}}/gi, filename)); window.app.foldManager.save(createdFile, IFoldInfo); return createdFile; } catch (err) { console.error(`Failed to create file: '${normalizedPath}'`, err); new obsidian.Notice("Unable to create new file."); } }); } function getQuarterlyNote(date, quarterly) { var _a; return (_a = quarterly[getDateUID(date, "quarter")]) != null ? _a : null; } function getAllQuarterlyNotes() { const quarterly = {}; if (!appHasQuarterlyNotesPluginLoaded()) { return quarterly; } const { vault } = window.app; const { folder } = getQuarterlyNoteSettings(); const quarterlyFolder = vault.getAbstractFileByPath(obsidian.normalizePath(folder)); if (!quarterlyFolder) { throw new QuarterlyNotesFolderMissingError("Failed to find quarterly notes folder"); } obsidian.Vault.recurseChildren(quarterlyFolder, (note) => { if (note instanceof obsidian.TFile) { const date = getDateFromFile(note, "quarter"); if (date) { const dateString = getDateUID(date, "quarter"); quarterly[dateString] = note; } } }); return quarterly; } var YearlyNotesFolderMissingError = class extends Error { }; function createYearlyNote(date) { return __async(this, null, function* () { const { vault } = window.app; const { template, format, folder } = getYearlyNoteSettings(); const [templateContents, IFoldInfo] = yield getTemplateInfo(template); const filename = date.format(format); const normalizedPath = yield getNotePath(folder, filename); try { const createdFile = yield vault.create(normalizedPath, templateContents.replace(/{{\s*(date|time)\s*(([+-]\d+)([yqmwdhs]))?\s*(:.+?)?}}/gi, (_, _timeOrDate, calc, timeDelta, unit, momentFormat) => { const now = window.moment(); const currentDate = date.clone().set({ hour: now.get("hour"), minute: now.get("minute"), second: now.get("second") }); if (calc) { currentDate.add(parseInt(timeDelta, 10), unit); } if (momentFormat) { return currentDate.format(momentFormat.substring(1).trim()); } return currentDate.format(format); }).replace(/{{\s*date\s*}}/gi, filename).replace(/{{\s*time\s*}}/gi, window.moment().format("HH:mm")).replace(/{{\s*title\s*}}/gi, filename)); window.app.foldManager.save(createdFile, IFoldInfo); return createdFile; } catch (err) { console.error(`Failed to create file: '${normalizedPath}'`, err); new obsidian.Notice("Unable to create new file."); } }); } function getYearlyNote(date, yearlyNotes) { var _a; return (_a = yearlyNotes[getDateUID(date, "year")]) != null ? _a : null; } function getAllYearlyNotes() { const yearlyNotes = {}; if (!appHasYearlyNotesPluginLoaded()) { return yearlyNotes; } const { vault } = window.app; const { folder } = getYearlyNoteSettings(); const yearlyNotesFolder = vault.getAbstractFileByPath(obsidian.normalizePath(folder)); if (!yearlyNotesFolder) { throw new YearlyNotesFolderMissingError("Failed to find yearly notes folder"); } obsidian.Vault.recurseChildren(yearlyNotesFolder, (note) => { if (note instanceof obsidian.TFile) { const date = getDateFromFile(note, "year"); if (date) { const dateString = getDateUID(date, "year"); yearlyNotes[dateString] = note; } } }); return yearlyNotes; } function appHasDailyNotesPluginLoaded() { var _a, _b; const { app } = window; const dailyNotesPlugin = app.internalPlugins.plugins["daily-notes"]; if (dailyNotesPlugin && dailyNotesPlugin.enabled) { return true; } const periodicNotes2 = app.plugins.getPlugin("periodic-notes"); return periodicNotes2 && ((_b = (_a = periodicNotes2.settings) == null ? void 0 : _a.daily) == null ? void 0 : _b.enabled); } function appHasWeeklyNotesPluginLoaded() { var _a, _b; const { app } = window; if (app.plugins.getPlugin("calendar")) { return true; } const periodicNotes2 = app.plugins.getPlugin("periodic-notes"); return periodicNotes2 && ((_b = (_a = periodicNotes2.settings) == null ? void 0 : _a.weekly) == null ? void 0 : _b.enabled); } function appHasMonthlyNotesPluginLoaded() { var _a, _b; const { app } = window; const periodicNotes2 = app.plugins.getPlugin("periodic-notes"); return periodicNotes2 && ((_b = (_a = periodicNotes2.settings) == null ? void 0 : _a.monthly) == null ? void 0 : _b.enabled); } function appHasQuarterlyNotesPluginLoaded() { var _a, _b; const { app } = window; const periodicNotes2 = app.plugins.getPlugin("periodic-notes"); return periodicNotes2 && ((_b = (_a = periodicNotes2.settings) == null ? void 0 : _a.quarterly) == null ? void 0 : _b.enabled); } function appHasYearlyNotesPluginLoaded() { var _a, _b; const { app } = window; const periodicNotes2 = app.plugins.getPlugin("periodic-notes"); return periodicNotes2 && ((_b = (_a = periodicNotes2.settings) == null ? void 0 : _a.yearly) == null ? void 0 : _b.enabled); } function getPeriodicNoteSettings(granularity) { const getSettings = { day: getDailyNoteSettings, week: getWeeklyNoteSettings, month: getMonthlyNoteSettings, quarter: getQuarterlyNoteSettings, year: getYearlyNoteSettings }[granularity]; return getSettings(); } function createPeriodicNote(granularity, date) { const createFn = { day: createDailyNote, month: createMonthlyNote, week: createWeeklyNote }; return createFn[granularity](date); } exports2.DEFAULT_DAILY_NOTE_FORMAT = DEFAULT_DAILY_NOTE_FORMAT; exports2.DEFAULT_MONTHLY_NOTE_FORMAT = DEFAULT_MONTHLY_NOTE_FORMAT; exports2.DEFAULT_QUARTERLY_NOTE_FORMAT = DEFAULT_QUARTERLY_NOTE_FORMAT; exports2.DEFAULT_WEEKLY_NOTE_FORMAT = DEFAULT_WEEKLY_NOTE_FORMAT; exports2.DEFAULT_YEARLY_NOTE_FORMAT = DEFAULT_YEARLY_NOTE_FORMAT; exports2.appHasDailyNotesPluginLoaded = appHasDailyNotesPluginLoaded; exports2.appHasMonthlyNotesPluginLoaded = appHasMonthlyNotesPluginLoaded; exports2.appHasQuarterlyNotesPluginLoaded = appHasQuarterlyNotesPluginLoaded; exports2.appHasWeeklyNotesPluginLoaded = appHasWeeklyNotesPluginLoaded; exports2.appHasYearlyNotesPluginLoaded = appHasYearlyNotesPluginLoaded; exports2.createDailyNote = createDailyNote; exports2.createMonthlyNote = createMonthlyNote; exports2.createPeriodicNote = createPeriodicNote; exports2.createQuarterlyNote = createQuarterlyNote; exports2.createWeeklyNote = createWeeklyNote; exports2.createYearlyNote = createYearlyNote; exports2.getAllDailyNotes = getAllDailyNotes; exports2.getAllMonthlyNotes = getAllMonthlyNotes; exports2.getAllQuarterlyNotes = getAllQuarterlyNotes; exports2.getAllWeeklyNotes = getAllWeeklyNotes; exports2.getAllYearlyNotes = getAllYearlyNotes; exports2.getDailyNote = getDailyNote; exports2.getDailyNoteSettings = getDailyNoteSettings; exports2.getDateFromFile = getDateFromFile; exports2.getDateFromPath = getDateFromPath; exports2.getDateUID = getDateUID; exports2.getMonthlyNote = getMonthlyNote; exports2.getMonthlyNoteSettings = getMonthlyNoteSettings; exports2.getPeriodicNoteSettings = getPeriodicNoteSettings; exports2.getQuarterlyNote = getQuarterlyNote; exports2.getQuarterlyNoteSettings = getQuarterlyNoteSettings; exports2.getTemplateInfo = getTemplateInfo; exports2.getWeeklyNote = getWeeklyNote; exports2.getWeeklyNoteSettings = getWeeklyNoteSettings; exports2.getYearlyNote = getYearlyNote; exports2.getYearlyNoteSettings = getYearlyNoteSettings; } }); var require_lib2 = __commonJS({ "node_modules/obsidian-dataview/lib/index.js"(exports2) { "use strict"; Object.defineProperty(exports2, "__esModule", { value: true }); require("obsidian"); var LuxonError = class extends Error { }; var InvalidDateTimeError = class extends LuxonError { constructor(reason) { super(`Invalid DateTime: ${reason.toMessage()}`); } }; var InvalidIntervalError = class extends LuxonError { constructor(reason) { super(`Invalid Interval: ${reason.toMessage()}`); } }; var InvalidDurationError = class extends LuxonError { constructor(reason) { super(`Invalid Duration: ${reason.toMessage()}`); } }; var ConflictingSpecificationError = class extends LuxonError { }; var InvalidUnitError = class extends LuxonError { constructor(unit) { super(`Invalid unit ${unit}`); } }; var InvalidArgumentError = class extends LuxonError { }; var ZoneIsAbstractError = class extends LuxonError { constructor() { super("Zone is an abstract class"); } }; var n = "numeric"; var s = "short"; var l = "long"; var DATE_SHORT = { year: n, month: n, day: n }; var DATE_MED = { year: n, month: s, day: n }; var DATE_MED_WITH_WEEKDAY = { year: n, month: s, day: n, weekday: s }; var DATE_FULL = { year: n, month: l, day: n }; var DATE_HUGE = { year: n, month: l, day: n, weekday: l }; var TIME_SIMPLE = { hour: n, minute: n }; var TIME_WITH_SECONDS = { hour: n, minute: n, second: n }; var TIME_WITH_SHORT_OFFSET = { hour: n, minute: n, second: n, timeZoneName: s }; var TIME_WITH_LONG_OFFSET = { hour: n, minute: n, second: n, timeZoneName: l }; var TIME_24_SIMPLE = { hour: n, minute: n, hourCycle: "h23" }; var TIME_24_WITH_SECONDS = { hour: n, minute: n, second: n, hourCycle: "h23" }; var TIME_24_WITH_SHORT_OFFSET = { hour: n, minute: n, second: n, hourCycle: "h23", timeZoneName: s }; var TIME_24_WITH_LONG_OFFSET = { hour: n, minute: n, second: n, hourCycle: "h23", timeZoneName: l }; var DATETIME_SHORT = { year: n, month: n, day: n, hour: n, minute: n }; var DATETIME_SHORT_WITH_SECONDS = { year: n, month: n, day: n, hour: n, minute: n, second: n }; var DATETIME_MED = { year: n, month: s, day: n, hour: n, minute: n }; var DATETIME_MED_WITH_SECONDS = { year: n, month: s, day: n, hour: n, minute: n, second: n }; var DATETIME_MED_WITH_WEEKDAY = { year: n, month: s, day: n, weekday: s, hour: n, minute: n }; var DATETIME_FULL = { year: n, month: l, day: n, hour: n, minute: n, timeZoneName: s }; var DATETIME_FULL_WITH_SECONDS = { year: n, month: l, day: n, hour: n, minute: n, second: n, timeZoneName: s }; var DATETIME_HUGE = { year: n, month: l, day: n, weekday: l, hour: n, minute: n, timeZoneName: l }; var DATETIME_HUGE_WITH_SECONDS = { year: n, month: l, day: n, weekday: l, hour: n, minute: n, second: n, timeZoneName: l }; var Zone = class { get type() { throw new ZoneIsAbstractError(); } get name() { throw new ZoneIsAbstractError(); } get ianaName() { return this.name; } get isUniversal() { throw new ZoneIsAbstractError(); } offsetName(ts, opts) { throw new ZoneIsAbstractError(); } formatOffset(ts, format) { throw new ZoneIsAbstractError(); } offset(ts) { throw new ZoneIsAbstractError(); } equals(otherZone) { throw new ZoneIsAbstractError(); } get isValid() { throw new ZoneIsAbstractError(); } }; var singleton$1 = null; var SystemZone = class extends Zone { static get instance() { if (singleton$1 === null) { singleton$1 = new SystemZone(); } return singleton$1; } get type() { return "system"; } get name() { return new Intl.DateTimeFormat().resolvedOptions().timeZone; } get isUniversal() { return false; } offsetName(ts, { format, locale }) { return parseZoneInfo(ts, format, locale); } formatOffset(ts, format) { return formatOffset(this.offset(ts), format); } offset(ts) { return -new Date(ts).getTimezoneOffset(); } equals(otherZone) { return otherZone.type === "system"; } get isValid() { return true; } }; var dtfCache = {}; function makeDTF(zone) { if (!dtfCache[zone]) { dtfCache[zone] = new Intl.DateTimeFormat("en-US", { hour12: false, timeZone: zone, year: "numeric", month: "2-digit", day: "2-digit", hour: "2-digit", minute: "2-digit", second: "2-digit", era: "short" }); } return dtfCache[zone]; } var typeToPos = { year: 0, month: 1, day: 2, era: 3, hour: 4, minute: 5, second: 6 }; function hackyOffset(dtf, date) { const formatted = dtf.format(date).replace(/\u200E/g, ""), parsed = /(\d+)\/(\d+)\/(\d+) (AD|BC),? (\d+):(\d+):(\d+)/.exec(formatted), [, fMonth, fDay, fYear, fadOrBc, fHour, fMinute, fSecond] = parsed; return [fYear, fMonth, fDay, fadOrBc, fHour, fMinute, fSecond]; } function partsOffset(dtf, date) { const formatted = dtf.formatToParts(date); const filled = []; for (let i = 0; i < formatted.length; i++) { const { type, value } = formatted[i]; const pos = typeToPos[type]; if (type === "era") { filled[pos] = value; } else if (!isUndefined(pos)) { filled[pos] = parseInt(value, 10); } } return filled; } var ianaZoneCache = {}; var IANAZone = class extends Zone { static create(name) { if (!ianaZoneCache[name]) { ianaZoneCache[name] = new IANAZone(name); } return ianaZoneCache[name]; } static resetCache() { ianaZoneCache = {}; dtfCache = {}; } static isValidSpecifier(s2) { return this.isValidZone(s2); } static isValidZone(zone) { if (!zone) { return false; } try { new Intl.DateTimeFormat("en-US", { timeZone: zone }).format(); return true; } catch (e) { return false; } } constructor(name) { super(); this.zoneName = name; this.valid = IANAZone.isValidZone(name); } get type() { return "iana"; } get name() { return this.zoneName; } get isUniversal() { return false; } offsetName(ts, { format, locale }) { return parseZoneInfo(ts, format, locale, this.name); } formatOffset(ts, format) { return formatOffset(this.offset(ts), format); } offset(ts) { const date = new Date(ts); if (isNaN(date)) return NaN; const dtf = makeDTF(this.name); let [year, month, day, adOrBc, hour, minute, second] = dtf.formatToParts ? partsOffset(dtf, date) : hackyOffset(dtf, date); if (adOrBc === "BC") { year = -Math.abs(year) + 1; } const adjustedHour = hour === 24 ? 0 : hour; const asUTC = objToLocalTS({ year, month, day, hour: adjustedHour, minute, second, millisecond: 0 }); let asTS = +date; const over = asTS % 1e3; asTS -= over >= 0 ? over : 1e3 + over; return (asUTC - asTS) / (60 * 1e3); } equals(otherZone) { return otherZone.type === "iana" && otherZone.name === this.name; } get isValid() { return this.valid; } }; var intlLFCache = {}; function getCachedLF(locString, opts = {}) { const key = JSON.stringify([locString, opts]); let dtf = intlLFCache[key]; if (!dtf) { dtf = new Intl.ListFormat(locString, opts); intlLFCache[key] = dtf; } return dtf; } var intlDTCache = {}; function getCachedDTF(locString, opts = {}) { const key = JSON.stringify([locString, opts]); let dtf = intlDTCache[key]; if (!dtf) { dtf = new Intl.DateTimeFormat(locString, opts); intlDTCache[key] = dtf; } return dtf; } var intlNumCache = {}; function getCachedINF(locString, opts = {}) { const key = JSON.stringify([locString, opts]); let inf = intlNumCache[key]; if (!inf) { inf = new Intl.NumberFormat(locString, opts); intlNumCache[key] = inf; } return inf; } var intlRelCache = {}; function getCachedRTF(locString, opts = {}) { const _a = opts, { base } = _a, cacheKeyOpts = __objRest(_a, ["base"]); const key = JSON.stringify([locString, cacheKeyOpts]); let inf = intlRelCache[key]; if (!inf) { inf = new Intl.RelativeTimeFormat(locString, opts); intlRelCache[key] = inf; } return inf; } var sysLocaleCache = null; function systemLocale() { if (sysLocaleCache) { return sysLocaleCache; } else { sysLocaleCache = new Intl.DateTimeFormat().resolvedOptions().locale; return sysLocaleCache; } } function parseLocaleString(localeStr) { const xIndex = localeStr.indexOf("-x-"); if (xIndex !== -1) { localeStr = localeStr.substring(0, xIndex); } const uIndex = localeStr.indexOf("-u-"); if (uIndex === -1) { return [localeStr]; } else { let options; let selectedStr; try { options = getCachedDTF(localeStr).resolvedOptions(); selectedStr = localeStr; } catch (e) { const smaller = localeStr.substring(0, uIndex); options = getCachedDTF(smaller).resolvedOptions(); selectedStr = smaller; } const { numberingSystem, calendar } = options; return [selectedStr, numberingSystem, calendar]; } } function intlConfigString(localeStr, numberingSystem, outputCalendar) { if (outputCalendar || numberingSystem) { if (!localeStr.includes("-u-")) { localeStr += "-u"; } if (outputCalendar) { localeStr += `-ca-${outputCalendar}`; } if (numberingSystem) { localeStr += `-nu-${numberingSystem}`; } return localeStr; } else { return localeStr; } } function mapMonths(f) { const ms = []; for (let i = 1; i <= 12; i++) { const dt = DateTime.utc(2009, i, 1); ms.push(f(dt)); } return ms; } function mapWeekdays(f) { const ms = []; for (let i = 1; i <= 7; i++) { const dt = DateTime.utc(2016, 11, 13 + i); ms.push(f(dt)); } return ms; } function listStuff(loc, length, englishFn, intlFn) { const mode = loc.listingMode(); if (mode === "error") { return null; } else if (mode === "en") { return englishFn(length); } else { return intlFn(length); } } function supportsFastNumbers(loc) { if (loc.numberingSystem && loc.numberingSystem !== "latn") { return false; } else { return loc.numberingSystem === "latn" || !loc.locale || loc.locale.startsWith("en") || new Intl.DateTimeFormat(loc.intl).resolvedOptions().numberingSystem === "latn"; } } var PolyNumberFormatter = class { constructor(intl, forceSimple, opts) { this.padTo = opts.padTo || 0; this.floor = opts.floor || false; const _a = opts, { padTo, floor } = _a, otherOpts = __objRest(_a, ["padTo", "floor"]); if (!forceSimple || Object.keys(otherOpts).length > 0) { const intlOpts = __spreadValues({ useGrouping: false }, opts); if (opts.padTo > 0) intlOpts.minimumIntegerDigits = opts.padTo; this.inf = getCachedINF(intl, intlOpts); } } format(i) { if (this.inf) { const fixed = this.floor ? Math.floor(i) : i; return this.inf.format(fixed); } else { const fixed = this.floor ? Math.floor(i) : roundTo(i, 3); return padStart(fixed, this.padTo); } } }; var PolyDateFormatter = class { constructor(dt, intl, opts) { this.opts = opts; this.originalZone = void 0; let z = void 0; if (this.opts.timeZone) { this.dt = dt; } else if (dt.zone.type === "fixed") { const gmtOffset = -1 * (dt.offset / 60); const offsetZ = gmtOffset >= 0 ? `Etc/GMT+${gmtOffset}` : `Etc/GMT${gmtOffset}`; if (dt.offset !== 0 && IANAZone.create(offsetZ).valid) { z = offsetZ; this.dt = dt; } else { z = "UTC"; this.dt = dt.offset === 0 ? dt : dt.setZone("UTC").plus({ minutes: dt.offset }); this.originalZone = dt.zone; } } else if (dt.zone.type === "system") { this.dt = dt; } else if (dt.zone.type === "iana") { this.dt = dt; z = dt.zone.name; } else { z = "UTC"; this.dt = dt.setZone("UTC").plus({ minutes: dt.offset }); this.originalZone = dt.zone; } const intlOpts = __spreadValues({}, this.opts); intlOpts.timeZone = intlOpts.timeZone || z; this.dtf = getCachedDTF(intl, intlOpts); } format() { if (this.originalZone) { return this.formatToParts().map(({ value }) => value).join(""); } return this.dtf.format(this.dt.toJSDate()); } formatToParts() { const parts = this.dtf.formatToParts(this.dt.toJSDate()); if (this.originalZone) { return parts.map((part) => { if (part.type === "timeZoneName") { const offsetName = this.originalZone.offsetName(this.dt.ts, { locale: this.dt.locale, format: this.opts.timeZoneName }); return __spreadProps(__spreadValues({}, part), { value: offsetName }); } else { return part; } }); } return parts; } resolvedOptions() { return this.dtf.resolvedOptions(); } }; var PolyRelFormatter = class { constructor(intl, isEnglish, opts) { this.opts = __spreadValues({ style: "long" }, opts); if (!isEnglish && hasRelative()) { this.rtf = getCachedRTF(intl, opts); } } format(count, unit) { if (this.rtf) { return this.rtf.format(count, unit); } else { return formatRelativeTime(unit, count, this.opts.numeric, this.opts.style !== "long"); } } formatToParts(count, unit) { if (this.rtf) { return this.rtf.formatToParts(count, unit); } else { return []; } } }; var Locale = class { static fromOpts(opts) { return Locale.create(opts.locale, opts.numberingSystem, opts.outputCalendar, opts.defaultToEN); } static create(locale, numberingSystem, outputCalendar, defaultToEN = false) { const specifiedLocale = locale || Settings.defaultLocale; const localeR = specifiedLocale || (defaultToEN ? "en-US" : systemLocale()); const numberingSystemR = numberingSystem || Settings.defaultNumberingSystem; const outputCalendarR = outputCalendar || Settings.defaultOutputCalendar; return new Locale(localeR, numberingSystemR, outputCalendarR, specifiedLocale); } static resetCache() { sysLocaleCache = null; intlDTCache = {}; intlNumCache = {}; intlRelCache = {}; } static fromObject({ locale, numberingSystem, outputCalendar } = {}) { return Locale.create(locale, numberingSystem, outputCalendar); } constructor(locale, numbering, outputCalendar, specifiedLocale) { const [parsedLocale, parsedNumberingSystem, parsedOutputCalendar] = parseLocaleString(locale); this.locale = parsedLocale; this.numberingSystem = numbering || parsedNumberingSystem || null; this.outputCalendar = outputCalendar || parsedOutputCalendar || null; this.intl = intlConfigString(this.locale, this.numberingSystem, this.outputCalendar); this.weekdaysCache = { format: {}, standalone: {} }; this.monthsCache = { format: {}, standalone: {} }; this.meridiemCache = null; this.eraCache = {}; this.specifiedLocale = specifiedLocale; this.fastNumbersCached = null; } get fastNumbers() { if (this.fastNumbersCached == null) { this.fastNumbersCached = supportsFastNumbers(this); } return this.fastNumbersCached; } listingMode() { const isActuallyEn = this.isEnglish(); const hasNoWeirdness = (this.numberingSystem === null || this.numberingSystem === "latn") && (this.outputCalendar === null || this.outputCalendar === "gregory"); return isActuallyEn && hasNoWeirdness ? "en" : "intl"; } clone(alts) { if (!alts || Object.getOwnPropertyNames(alts).length === 0) { return this; } else { return Locale.create(alts.locale || this.specifiedLocale, alts.numberingSystem || this.numberingSystem, alts.outputCalendar || this.outputCalendar, alts.defaultToEN || false); } } redefaultToEN(alts = {}) { return this.clone(__spreadProps(__spreadValues({}, alts), { defaultToEN: true })); } redefaultToSystem(alts = {}) { return this.clone(__spreadProps(__spreadValues({}, alts), { defaultToEN: false })); } months(length, format = false) { return listStuff(this, length, months, () => { const intl = format ? { month: length, day: "numeric" } : { month: length }, formatStr = format ? "format" : "standalone"; if (!this.monthsCache[formatStr][length]) { this.monthsCache[formatStr][length] = mapMonths((dt) => this.extract(dt, intl, "month")); } return this.monthsCache[formatStr][length]; }); } weekdays(length, format = false) { return listStuff(this, length, weekdays, () => { const intl = format ? { weekday: length, year: "numeric", month: "long", day: "numeric" } : { weekday: length }, formatStr = format ? "format" : "standalone"; if (!this.weekdaysCache[formatStr][length]) { this.weekdaysCache[formatStr][length] = mapWeekdays((dt) => this.extract(dt, intl, "weekday")); } return this.weekdaysCache[formatStr][length]; }); } meridiems() { return listStuff(this, void 0, () => meridiems, () => { if (!this.meridiemCache) { const intl = { hour: "numeric", hourCycle: "h12" }; this.meridiemCache = [DateTime.utc(2016, 11, 13, 9), DateTime.utc(2016, 11, 13, 19)].map((dt) => this.extract(dt, intl, "dayperiod")); } return this.meridiemCache; }); } eras(length) { return listStuff(this, length, eras, () => { const intl = { era: length }; if (!this.eraCache[length]) { this.eraCache[length] = [DateTime.utc(-40, 1, 1), DateTime.utc(2017, 1, 1)].map((dt) => this.extract(dt, intl, "era")); } return this.eraCache[length]; }); } extract(dt, intlOpts, field) { const df = this.dtFormatter(dt, intlOpts), results = df.formatToParts(), matching = results.find((m) => m.type.toLowerCase() === field); return matching ? matching.value : null; } numberFormatter(opts = {}) { return new PolyNumberFormatter(this.intl, opts.forceSimple || this.fastNumbers, opts); } dtFormatter(dt, intlOpts = {}) { return new PolyDateFormatter(dt, this.intl, intlOpts); } relFormatter(opts = {}) { return new PolyRelFormatter(this.intl, this.isEnglish(), opts); } listFormatter(opts = {}) { return getCachedLF(this.intl, opts); } isEnglish() { return this.locale === "en" || this.locale.toLowerCase() === "en-us" || new Intl.DateTimeFormat(this.intl).resolvedOptions().locale.startsWith("en-us"); } equals(other) { return this.locale === other.locale && this.numberingSystem === other.numberingSystem && this.outputCalendar === other.outputCalendar; } }; var singleton = null; var FixedOffsetZone = class extends Zone { static get utcInstance() { if (singleton === null) { singleton = new FixedOffsetZone(0); } return singleton; } static instance(offset2) { return offset2 === 0 ? FixedOffsetZone.utcInstance : new FixedOffsetZone(offset2); } static parseSpecifier(s2) { if (s2) { const r = s2.match(/^utc(?:([+-]\d{1,2})(?::(\d{2}))?)?$/i); if (r) { return new FixedOffsetZone(signedOffset(r[1], r[2])); } } return null; } constructor(offset2) { super(); this.fixed = offset2; } get type() { return "fixed"; } get name() { return this.fixed === 0 ? "UTC" : `UTC${formatOffset(this.fixed, "narrow")}`; } get ianaName() { if (this.fixed === 0) { return "Etc/UTC"; } else { return `Etc/GMT${formatOffset(-this.fixed, "narrow")}`; } } offsetName() { return this.name; } formatOffset(ts, format) { return formatOffset(this.fixed, format); } get isUniversal() { return true; } offset() { return this.fixed; } equals(otherZone) { return otherZone.type === "fixed" && otherZone.fixed === this.fixed; } get isValid() { return true; } }; var InvalidZone = class extends Zone { constructor(zoneName) { super(); this.zoneName = zoneName; } get type() { return "invalid"; } get name() { return this.zoneName; } get isUniversal() { return false; } offsetName() { return null; } formatOffset() { return ""; } offset() { return NaN; } equals() { return false; } get isValid() { return false; } }; function normalizeZone(input, defaultZone2) { if (isUndefined(input) || input === null) { return defaultZone2; } else if (input instanceof Zone) { return input; } else if (isString(input)) { const lowered = input.toLowerCase(); if (lowered === "default") return defaultZone2; else if (lowered === "local" || lowered === "system") return SystemZone.instance; else if (lowered === "utc" || lowered === "gmt") return FixedOffsetZone.utcInstance; else return FixedOffsetZone.parseSpecifier(lowered) || IANAZone.create(input); } else if (isNumber(input)) { return FixedOffsetZone.instance(input); } else if (typeof input === "object" && "offset" in input && typeof input.offset === "function") { return input; } else { return new InvalidZone(input); } } var now = () => Date.now(); var defaultZone = "system"; var defaultLocale = null; var defaultNumberingSystem = null; var defaultOutputCalendar = null; var twoDigitCutoffYear = 60; var throwOnInvalid; var Settings = class { static get now() { return now; } static set now(n2) { now = n2; } static set defaultZone(zone) { defaultZone = zone; } static get defaultZone() { return normalizeZone(defaultZone, SystemZone.instance); } static get defaultLocale() { return defaultLocale; } static set defaultLocale(locale) { defaultLocale = locale; } static get defaultNumberingSystem() { return defaultNumberingSystem; } static set defaultNumberingSystem(numberingSystem) { defaultNumberingSystem = numberingSystem; } static get defaultOutputCalendar() { return defaultOutputCalendar; } static set defaultOutputCalendar(outputCalendar) { defaultOutputCalendar = outputCalendar; } static get twoDigitCutoffYear() { return twoDigitCutoffYear; } static set twoDigitCutoffYear(cutoffYear) { twoDigitCutoffYear = cutoffYear % 100; } static get throwOnInvalid() { return throwOnInvalid; } static set throwOnInvalid(t) { throwOnInvalid = t; } static resetCaches() { Locale.resetCache(); IANAZone.resetCache(); } }; function isUndefined(o) { return typeof o === "undefined"; } function isNumber(o) { return typeof o === "number"; } function isInteger(o) { return typeof o === "number" && o % 1 === 0; } function isString(o) { return typeof o === "string"; } function isDate(o) { return Object.prototype.toString.call(o) === "[object Date]"; } function hasRelative() { try { return typeof Intl !== "undefined" && !!Intl.RelativeTimeFormat; } catch (e) { return false; } } function maybeArray(thing) { return Array.isArray(thing) ? thing : [thing]; } function bestBy(arr, by, compare) { if (arr.length === 0) { return void 0; } return arr.reduce((best, next) => { const pair = [by(next), next]; if (!best) { return pair; } else if (compare(best[0], pair[0]) === best[0]) { return best; } else { return pair; } }, null)[1]; } function pick(obj, keys) { return keys.reduce((a, k) => { a[k] = obj[k]; return a; }, {}); } function hasOwnProperty(obj, prop) { return Object.prototype.hasOwnProperty.call(obj, prop); } function integerBetween(thing, bottom, top) { return isInteger(thing) && thing >= bottom && thing <= top; } function floorMod(x, n2) { return x - n2 * Math.floor(x / n2); } function padStart(input, n2 = 2) { const isNeg = input < 0; let padded; if (isNeg) { padded = "-" + ("" + -input).padStart(n2, "0"); } else { padded = ("" + input).padStart(n2, "0"); } return padded; } function parseInteger(string) { if (isUndefined(string) || string === null || string === "") { return void 0; } else { return parseInt(string, 10); } } function parseFloating(string) { if (isUndefined(string) || string === null || string === "") { return void 0; } else { return parseFloat(string); } } function parseMillis(fraction) { if (isUndefined(fraction) || fraction === null || fraction === "") { return void 0; } else { const f = parseFloat("0." + fraction) * 1e3; return Math.floor(f); } } function roundTo(number, digits, towardZero = false) { const factor = __pow(10, digits), rounder = towardZero ? Math.trunc : Math.round; return rounder(number * factor) / factor; } function isLeapYear(year) { return year % 4 === 0 && (year % 100 !== 0 || year % 400 === 0); } function daysInYear(year) { return isLeapYear(year) ? 366 : 365; } function daysInMonth(year, month) { const modMonth = floorMod(month - 1, 12) + 1, modYear = year + (month - modMonth) / 12; if (modMonth === 2) { return isLeapYear(modYear) ? 29 : 28; } else { return [31, null, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31][modMonth - 1]; } } function objToLocalTS(obj) { let d = Date.UTC(obj.year, obj.month - 1, obj.day, obj.hour, obj.minute, obj.second, obj.millisecond); if (obj.year < 100 && obj.year >= 0) { d = new Date(d); d.setUTCFullYear(obj.year, obj.month - 1, obj.day); } return +d; } function weeksInWeekYear(weekYear) { const p1 = (weekYear + Math.floor(weekYear / 4) - Math.floor(weekYear / 100) + Math.floor(weekYear / 400)) % 7, last = weekYear - 1, p2 = (last + Math.floor(last / 4) - Math.floor(last / 100) + Math.floor(last / 400)) % 7; return p1 === 4 || p2 === 3 ? 53 : 52; } function untruncateYear(year) { if (year > 99) { return year; } else return year > Settings.twoDigitCutoffYear ? 1900 + year : 2e3 + year; } function parseZoneInfo(ts, offsetFormat, locale, timeZone = null) { const date = new Date(ts), intlOpts = { hourCycle: "h23", year: "numeric", month: "2-digit", day: "2-digit", hour: "2-digit", minute: "2-digit" }; if (timeZone) { intlOpts.timeZone = timeZone; } const modified = __spreadValues({ timeZoneName: offsetFormat }, intlOpts); const parsed = new Intl.DateTimeFormat(locale, modified).formatToParts(date).find((m) => m.type.toLowerCase() === "timezonename"); return parsed ? parsed.value : null; } function signedOffset(offHourStr, offMinuteStr) { let offHour = parseInt(offHourStr, 10); if (Number.isNaN(offHour)) { offHour = 0; } const offMin = parseInt(offMinuteStr, 10) || 0, offMinSigned = offHour < 0 || Object.is(offHour, -0) ? -offMin : offMin; return offHour * 60 + offMinSigned; } function asNumber(value) { const numericValue = Number(value); if (typeof value === "boolean" || value === "" || Number.isNaN(numericValue)) throw new InvalidArgumentError(`Invalid unit value ${value}`); return numericValue; } function normalizeObject(obj, normalizer) { const normalized = {}; for (const u in obj) { if (hasOwnProperty(obj, u)) { const v = obj[u]; if (v === void 0 || v === null) continue; normalized[normalizer(u)] = asNumber(v); } } return normalized; } function formatOffset(offset2, format) { const hours = Math.trunc(Math.abs(offset2 / 60)), minutes = Math.trunc(Math.abs(offset2 % 60)), sign = offset2 >= 0 ? "+" : "-"; switch (format) { case "short": return `${sign}${padStart(hours, 2)}:${padStart(minutes, 2)}`; case "narrow": return `${sign}${hours}${minutes > 0 ? `:${minutes}` : ""}`; case "techie": return `${sign}${padStart(hours, 2)}${padStart(minutes, 2)}`; default: throw new RangeError(`Value format ${format} is out of range for property format`); } } function timeObject(obj) { return pick(obj, ["hour", "minute", "second", "millisecond"]); } var monthsLong = [ "January", "February", "March", "April", "May", "June", "July", "August", "September", "October", "November", "December" ]; var monthsShort = [ "Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec" ]; var monthsNarrow = ["J", "F", "M", "A", "M", "J", "J", "A", "S", "O", "N", "D"]; function months(length) { switch (length) { case "narrow": return [...monthsNarrow]; case "short": return [...monthsShort]; case "long": return [...monthsLong]; case "numeric": return ["1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12"]; case "2-digit": return ["01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12"]; default: return null; } } var weekdaysLong = [ "Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday", "Sunday" ]; var weekdaysShort = ["Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun"]; var weekdaysNarrow = ["M", "T", "W", "T", "F", "S", "S"]; function weekdays(length) { switch (length) { case "narrow": return [...weekdaysNarrow]; case "short": return [...weekdaysShort]; case "long": return [...weekdaysLong]; case "numeric": return ["1", "2", "3", "4", "5", "6", "7"]; default: return null; } } var meridiems = ["AM", "PM"]; var erasLong = ["Before Christ", "Anno Domini"]; var erasShort = ["BC", "AD"]; var erasNarrow = ["B", "A"]; function eras(length) { switch (length) { case "narrow": return [...erasNarrow]; case "short": return [...erasShort]; case "long": return [...erasLong]; default: return null; } } function meridiemForDateTime(dt) { return meridiems[dt.hour < 12 ? 0 : 1]; } function weekdayForDateTime(dt, length) { return weekdays(length)[dt.weekday - 1]; } function monthForDateTime(dt, length) { return months(length)[dt.month - 1]; } function eraForDateTime(dt, length) { return eras(length)[dt.year < 0 ? 0 : 1]; } function formatRelativeTime(unit, count, numeric = "always", narrow = false) { const units = { years: ["year", "yr."], quarters: ["quarter", "qtr."], months: ["month", "mo."], weeks: ["week", "wk."], days: ["day", "day", "days"], hours: ["hour", "hr."], minutes: ["minute", "min."], seconds: ["second", "sec."] }; const lastable = ["hours", "minutes", "seconds"].indexOf(unit) === -1; if (numeric === "auto" && lastable) { const isDay = unit === "days"; switch (count) { case 1: return isDay ? "tomorrow" : `next ${units[unit][0]}`; case -1: return isDay ? "yesterday" : `last ${units[unit][0]}`; case 0: return isDay ? "today" : `this ${units[unit][0]}`; } } const isInPast = Object.is(count, -0) || count < 0, fmtValue = Math.abs(count), singular = fmtValue === 1, lilUnits = units[unit], fmtUnit = narrow ? singular ? lilUnits[1] : lilUnits[2] || lilUnits[1] : singular ? units[unit][0] : unit; return isInPast ? `${fmtValue} ${fmtUnit} ago` : `in ${fmtValue} ${fmtUnit}`; } function stringifyTokens(splits, tokenToString) { let s2 = ""; for (const token of splits) { if (token.literal) { s2 += token.val; } else { s2 += tokenToString(token.val); } } return s2; } var macroTokenToFormatOpts = { D: DATE_SHORT, DD: DATE_MED, DDD: DATE_FULL, DDDD: DATE_HUGE, t: TIME_SIMPLE, tt: TIME_WITH_SECONDS, ttt: TIME_WITH_SHORT_OFFSET, tttt: TIME_WITH_LONG_OFFSET, T: TIME_24_SIMPLE, TT: TIME_24_WITH_SECONDS, TTT: TIME_24_WITH_SHORT_OFFSET, TTTT: TIME_24_WITH_LONG_OFFSET, f: DATETIME_SHORT, ff: DATETIME_MED, fff: DATETIME_FULL, ffff: DATETIME_HUGE, F: DATETIME_SHORT_WITH_SECONDS, FF: DATETIME_MED_WITH_SECONDS, FFF: DATETIME_FULL_WITH_SECONDS, FFFF: DATETIME_HUGE_WITH_SECONDS }; var Formatter = class { static create(locale, opts = {}) { return new Formatter(locale, opts); } static parseFormat(fmt) { let current = null, currentFull = "", bracketed = false; const splits = []; for (let i = 0; i < fmt.length; i++) { const c = fmt.charAt(i); if (c === "'") { if (currentFull.length > 0) { splits.push({ literal: bracketed || /^\s+$/.test(currentFull), val: currentFull }); } current = null; currentFull = ""; bracketed = !bracketed; } else if (bracketed) { currentFull += c; } else if (c === current) { currentFull += c; } else { if (currentFull.length > 0) { splits.push({ literal: /^\s+$/.test(currentFull), val: currentFull }); } currentFull = c; current = c; } } if (currentFull.length > 0) { splits.push({ literal: bracketed || /^\s+$/.test(currentFull), val: currentFull }); } return splits; } static macroTokenToFormatOpts(token) { return macroTokenToFormatOpts[token]; } constructor(locale, formatOpts) { this.opts = formatOpts; this.loc = locale; this.systemLoc = null; } formatWithSystemDefault(dt, opts) { if (this.systemLoc === null) { this.systemLoc = this.loc.redefaultToSystem(); } const df = this.systemLoc.dtFormatter(dt, __spreadValues(__spreadValues({}, this.opts), opts)); return df.format(); } dtFormatter(dt, opts = {}) { return this.loc.dtFormatter(dt, __spreadValues(__spreadValues({}, this.opts), opts)); } formatDateTime(dt, opts) { return this.dtFormatter(dt, opts).format(); } formatDateTimeParts(dt, opts) { return this.dtFormatter(dt, opts).formatToParts(); } formatInterval(interval, opts) { const df = this.dtFormatter(interval.start, opts); return df.dtf.formatRange(interval.start.toJSDate(), interval.end.toJSDate()); } resolvedOptions(dt, opts) { return this.dtFormatter(dt, opts).resolvedOptions(); } num(n2, p = 0) { if (this.opts.forceSimple) { return padStart(n2, p); } const opts = __spreadValues({}, this.opts); if (p > 0) { opts.padTo = p; } return this.loc.numberFormatter(opts).format(n2); } formatDateTimeFromString(dt, fmt) { const knownEnglish = this.loc.listingMode() === "en", useDateTimeFormatter = this.loc.outputCalendar && this.loc.outputCalendar !== "gregory", string = (opts, extract) => this.loc.extract(dt, opts, extract), formatOffset2 = (opts) => { if (dt.isOffsetFixed && dt.offset === 0 && opts.allowZ) { return "Z"; } return dt.isValid ? dt.zone.formatOffset(dt.ts, opts.format) : ""; }, meridiem = () => knownEnglish ? meridiemForDateTime(dt) : string({ hour: "numeric", hourCycle: "h12" }, "dayperiod"), month = (length, standalone) => knownEnglish ? monthForDateTime(dt, length) : string(standalone ? { month: length } : { month: length, day: "numeric" }, "month"), weekday = (length, standalone) => knownEnglish ? weekdayForDateTime(dt, length) : string(standalone ? { weekday: length } : { weekday: length, month: "long", day: "numeric" }, "weekday"), maybeMacro = (token) => { const formatOpts = Formatter.macroTokenToFormatOpts(token); if (formatOpts) { return this.formatWithSystemDefault(dt, formatOpts); } else { return token; } }, era = (length) => knownEnglish ? eraForDateTime(dt, length) : string({ era: length }, "era"), tokenToString = (token) => { switch (token) { case "S": return this.num(dt.millisecond); case "u": case "SSS": return this.num(dt.millisecond, 3); case "s": return this.num(dt.second); case "ss": return this.num(dt.second, 2); case "uu": return this.num(Math.floor(dt.millisecond / 10), 2); case "uuu": return this.num(Math.floor(dt.millisecond / 100)); case "m": return this.num(dt.minute); case "mm": return this.num(dt.minute, 2); case "h": return this.num(dt.hour % 12 === 0 ? 12 : dt.hour % 12); case "hh": return this.num(dt.hour % 12 === 0 ? 12 : dt.hour % 12, 2); case "H": return this.num(dt.hour); case "HH": return this.num(dt.hour, 2); case "Z": return formatOffset2({ format: "narrow", allowZ: this.opts.allowZ }); case "ZZ": return formatOffset2({ format: "short", allowZ: this.opts.allowZ }); case "ZZZ": return formatOffset2({ format: "techie", allowZ: this.opts.allowZ }); case "ZZZZ": return dt.zone.offsetName(dt.ts, { format: "short", locale: this.loc.locale }); case "ZZZZZ": return dt.zone.offsetName(dt.ts, { format: "long", locale: this.loc.locale }); case "z": return dt.zoneName; case "a": return meridiem(); case "d": return useDateTimeFormatter ? string({ day: "numeric" }, "day") : this.num(dt.day); case "dd": return useDateTimeFormatter ? string({ day: "2-digit" }, "day") : this.num(dt.day, 2); case "c": return this.num(dt.weekday); case "ccc": return weekday("short", true); case "cccc": return weekday("long", true); case "ccccc": return weekday("narrow", true); case "E": return this.num(dt.weekday); case "EEE": return weekday("short", false); case "EEEE": return weekday("long", false); case "EEEEE": return weekday("narrow", false); case "L": return useDateTimeFormatter ? string({ month: "numeric", day: "numeric" }, "month") : this.num(dt.month); case "LL": return useDateTimeFormatter ? string({ month: "2-digit", day: "numeric" }, "month") : this.num(dt.month, 2); case "LLL": return month("short", true); case "LLLL": return month("long", true); case "LLLLL": return month("narrow", true); case "M": return useDateTimeFormatter ? string({ month: "numeric" }, "month") : this.num(dt.month); case "MM": return useDateTimeFormatter ? string({ month: "2-digit" }, "month") : this.num(dt.month, 2); case "MMM": return month("short", false); case "MMMM": return month("long", false); case "MMMMM": return month("narrow", false); case "y": return useDateTimeFormatter ? string({ year: "numeric" }, "year") : this.num(dt.year); case "yy": return useDateTimeFormatter ? string({ year: "2-digit" }, "year") : this.num(dt.year.toString().slice(-2), 2); case "yyyy": return useDateTimeFormatter ? string({ year: "numeric" }, "year") : this.num(dt.year, 4); case "yyyyyy": return useDateTimeFormatter ? string({ year: "numeric" }, "year") : this.num(dt.year, 6); case "G": return era("short"); case "GG": return era("long"); case "GGGGG": return era("narrow"); case "kk": return this.num(dt.weekYear.toString().slice(-2), 2); case "kkkk": return this.num(dt.weekYear, 4); case "W": return this.num(dt.weekNumber); case "WW": return this.num(dt.weekNumber, 2); case "o": return this.num(dt.ordinal); case "ooo": return this.num(dt.ordinal, 3); case "q": return this.num(dt.quarter); case "qq": return this.num(dt.quarter, 2); case "X": return this.num(Math.floor(dt.ts / 1e3)); case "x": return this.num(dt.ts); default: return maybeMacro(token); } }; return stringifyTokens(Formatter.parseFormat(fmt), tokenToString); } formatDurationFromString(dur, fmt) { const tokenToField = (token) => { switch (token[0]) { case "S": return "millisecond"; case "s": return "second"; case "m": return "minute"; case "h": return "hour"; case "d": return "day"; case "w": return "week"; case "M": return "month"; case "y": return "year"; default: return null; } }, tokenToString = (lildur) => (token) => { const mapped = tokenToField(token); if (mapped) { return this.num(lildur.get(mapped), token.length); } else { return token; } }, tokens = Formatter.parseFormat(fmt), realTokens = tokens.reduce((found, { literal, val }) => literal ? found : found.concat(val), []), collapsed = dur.shiftTo(...realTokens.map(tokenToField).filter((t) => t)); return stringifyTokens(tokens, tokenToString(collapsed)); } }; var Invalid = class { constructor(reason, explanation) { this.reason = reason; this.explanation = explanation; } toMessage() { if (this.explanation) { return `${this.reason}: ${this.explanation}`; } else { return this.reason; } } }; var ianaRegex = /[A-Za-z_+-]{1,256}(?::?\/[A-Za-z0-9_+-]{1,256}(?:\/[A-Za-z0-9_+-]{1,256})?)?/; function combineRegexes(...regexes) { const full = regexes.reduce((f, r) => f + r.source, ""); return RegExp(`^${full}$`); } function combineExtractors(...extractors) { return (m) => extractors.reduce(([mergedVals, mergedZone, cursor], ex) => { const [val, zone, next] = ex(m, cursor); return [__spreadValues(__spreadValues({}, mergedVals), val), zone || mergedZone, next]; }, [{}, null, 1]).slice(0, 2); } function parse(s2, ...patterns) { if (s2 == null) { return [null, null]; } for (const [regex, extractor] of patterns) { const m = regex.exec(s2); if (m) { return extractor(m); } } return [null, null]; } function simpleParse(...keys) { return (match2, cursor) => { const ret = {}; let i; for (i = 0; i < keys.length; i++) { ret[keys[i]] = parseInteger(match2[cursor + i]); } return [ret, null, cursor + i]; }; } var offsetRegex = /(?:(Z)|([+-]\d\d)(?::?(\d\d))?)/; var isoExtendedZone = `(?:${offsetRegex.source}?(?:\\[(${ianaRegex.source})\\])?)?`; var isoTimeBaseRegex = /(\d\d)(?::?(\d\d)(?::?(\d\d)(?:[.,](\d{1,30}))?)?)?/; var isoTimeRegex = RegExp(`${isoTimeBaseRegex.source}${isoExtendedZone}`); var isoTimeExtensionRegex = RegExp(`(?:T${isoTimeRegex.source})?`); var isoYmdRegex = /([+-]\d{6}|\d{4})(?:-?(\d\d)(?:-?(\d\d))?)?/; var isoWeekRegex = /(\d{4})-?W(\d\d)(?:-?(\d))?/; var isoOrdinalRegex = /(\d{4})-?(\d{3})/; var extractISOWeekData = simpleParse("weekYear", "weekNumber", "weekDay"); var extractISOOrdinalData = simpleParse("year", "ordinal"); var sqlYmdRegex = /(\d{4})-(\d\d)-(\d\d)/; var sqlTimeRegex = RegExp(`${isoTimeBaseRegex.source} ?(?:${offsetRegex.source}|(${ianaRegex.source}))?`); var sqlTimeExtensionRegex = RegExp(`(?: ${sqlTimeRegex.source})?`); function int(match2, pos, fallback) { const m = match2[pos]; return isUndefined(m) ? fallback : parseInteger(m); } function extractISOYmd(match2, cursor) { const item = { year: int(match2, cursor), month: int(match2, cursor + 1, 1), day: int(match2, cursor + 2, 1) }; return [item, null, cursor + 3]; } function extractISOTime(match2, cursor) { const item = { hours: int(match2, cursor, 0), minutes: int(match2, cursor + 1, 0), seconds: int(match2, cursor + 2, 0), milliseconds: parseMillis(match2[cursor + 3]) }; return [item, null, cursor + 4]; } function extractISOOffset(match2, cursor) { const local = !match2[cursor] && !match2[cursor + 1], fullOffset = signedOffset(match2[cursor + 1], match2[cursor + 2]), zone = local ? null : FixedOffsetZone.instance(fullOffset); return [{}, zone, cursor + 3]; } function extractIANAZone(match2, cursor) { const zone = match2[cursor] ? IANAZone.create(match2[cursor]) : null; return [{}, zone, cursor + 1]; } var isoTimeOnly = RegExp(`^T?${isoTimeBaseRegex.source}$`); var isoDuration = /^-?P(?:(?:(-?\d{1,20}(?:\.\d{1,20})?)Y)?(?:(-?\d{1,20}(?:\.\d{1,20})?)M)?(?:(-?\d{1,20}(?:\.\d{1,20})?)W)?(?:(-?\d{1,20}(?:\.\d{1,20})?)D)?(?:T(?:(-?\d{1,20}(?:\.\d{1,20})?)H)?(?:(-?\d{1,20}(?:\.\d{1,20})?)M)?(?:(-?\d{1,20})(?:[.,](-?\d{1,20}))?S)?)?)$/; function extractISODuration(match2) { const [s2, yearStr, monthStr, weekStr, dayStr, hourStr, minuteStr, secondStr, millisecondsStr] = match2; const hasNegativePrefix = s2[0] === "-"; const negativeSeconds = secondStr && secondStr[0] === "-"; const maybeNegate = (num, force = false) => num !== void 0 && (force || num && hasNegativePrefix) ? -num : num; return [ { years: maybeNegate(parseFloating(yearStr)), months: maybeNegate(parseFloating(monthStr)), weeks: maybeNegate(parseFloating(weekStr)), days: maybeNegate(parseFloating(dayStr)), hours: maybeNegate(parseFloating(hourStr)), minutes: maybeNegate(parseFloating(minuteStr)), seconds: maybeNegate(parseFloating(secondStr), secondStr === "-0"), milliseconds: maybeNegate(parseMillis(millisecondsStr), negativeSeconds) } ]; } var obsOffsets = { GMT: 0, EDT: -4 * 60, EST: -5 * 60, CDT: -5 * 60, CST: -6 * 60, MDT: -6 * 60, MST: -7 * 60, PDT: -7 * 60, PST: -8 * 60 }; function fromStrings(weekdayStr, yearStr, monthStr, dayStr, hourStr, minuteStr, secondStr) { const result = { year: yearStr.length === 2 ? untruncateYear(parseInteger(yearStr)) : parseInteger(yearStr), month: monthsShort.indexOf(monthStr) + 1, day: parseInteger(dayStr), hour: parseInteger(hourStr), minute: parseInteger(minuteStr) }; if (secondStr) result.second = parseInteger(secondStr); if (weekdayStr) { result.weekday = weekdayStr.length > 3 ? weekdaysLong.indexOf(weekdayStr) + 1 : weekdaysShort.indexOf(weekdayStr) + 1; } return result; } var rfc2822 = /^(?:(Mon|Tue|Wed|Thu|Fri|Sat|Sun),\s)?(\d{1,2})\s(Jan|Feb|Mar|Apr|May|Jun|Jul|Aug|Sep|Oct|Nov|Dec)\s(\d{2,4})\s(\d\d):(\d\d)(?::(\d\d))?\s(?:(UT|GMT|[ECMP][SD]T)|([Zz])|(?:([+-]\d\d)(\d\d)))$/; function extractRFC2822(match2) { const [ , weekdayStr, dayStr, monthStr, yearStr, hourStr, minuteStr, secondStr, obsOffset, milOffset, offHourStr, offMinuteStr ] = match2, result = fromStrings(weekdayStr, yearStr, monthStr, dayStr, hourStr, minuteStr, secondStr); let offset2; if (obsOffset) { offset2 = obsOffsets[obsOffset]; } else if (milOffset) { offset2 = 0; } else { offset2 = signedOffset(offHourStr, offMinuteStr); } return [result, new FixedOffsetZone(offset2)]; } function preprocessRFC2822(s2) { return s2.replace(/\([^()]*\)|[\n\t]/g, " ").replace(/(\s\s+)/g, " ").trim(); } var rfc1123 = /^(Mon|Tue|Wed|Thu|Fri|Sat|Sun), (\d\d) (Jan|Feb|Mar|Apr|May|Jun|Jul|Aug|Sep|Oct|Nov|Dec) (\d{4}) (\d\d):(\d\d):(\d\d) GMT$/; var rfc850 = /^(Monday|Tuesday|Wednesday|Thursday|Friday|Saturday|Sunday), (\d\d)-(Jan|Feb|Mar|Apr|May|Jun|Jul|Aug|Sep|Oct|Nov|Dec)-(\d\d) (\d\d):(\d\d):(\d\d) GMT$/; var ascii = /^(Mon|Tue|Wed|Thu|Fri|Sat|Sun) (Jan|Feb|Mar|Apr|May|Jun|Jul|Aug|Sep|Oct|Nov|Dec) ( \d|\d\d) (\d\d):(\d\d):(\d\d) (\d{4})$/; function extractRFC1123Or850(match2) { const [, weekdayStr, dayStr, monthStr, yearStr, hourStr, minuteStr, secondStr] = match2, result = fromStrings(weekdayStr, yearStr, monthStr, dayStr, hourStr, minuteStr, secondStr); return [result, FixedOffsetZone.utcInstance]; } function extractASCII(match2) { const [, weekdayStr, monthStr, dayStr, hourStr, minuteStr, secondStr, yearStr] = match2, result = fromStrings(weekdayStr, yearStr, monthStr, dayStr, hourStr, minuteStr, secondStr); return [result, FixedOffsetZone.utcInstance]; } var isoYmdWithTimeExtensionRegex = combineRegexes(isoYmdRegex, isoTimeExtensionRegex); var isoWeekWithTimeExtensionRegex = combineRegexes(isoWeekRegex, isoTimeExtensionRegex); var isoOrdinalWithTimeExtensionRegex = combineRegexes(isoOrdinalRegex, isoTimeExtensionRegex); var isoTimeCombinedRegex = combineRegexes(isoTimeRegex); var extractISOYmdTimeAndOffset = combineExtractors(extractISOYmd, extractISOTime, extractISOOffset, extractIANAZone); var extractISOWeekTimeAndOffset = combineExtractors(extractISOWeekData, extractISOTime, extractISOOffset, extractIANAZone); var extractISOOrdinalDateAndTime = combineExtractors(extractISOOrdinalData, extractISOTime, extractISOOffset, extractIANAZone); var extractISOTimeAndOffset = combineExtractors(extractISOTime, extractISOOffset, extractIANAZone); function parseISODate(s2) { return parse(s2, [isoYmdWithTimeExtensionRegex, extractISOYmdTimeAndOffset], [isoWeekWithTimeExtensionRegex, extractISOWeekTimeAndOffset], [isoOrdinalWithTimeExtensionRegex, extractISOOrdinalDateAndTime], [isoTimeCombinedRegex, extractISOTimeAndOffset]); } function parseRFC2822Date(s2) { return parse(preprocessRFC2822(s2), [rfc2822, extractRFC2822]); } function parseHTTPDate(s2) { return parse(s2, [rfc1123, extractRFC1123Or850], [rfc850, extractRFC1123Or850], [ascii, extractASCII]); } function parseISODuration(s2) { return parse(s2, [isoDuration, extractISODuration]); } var extractISOTimeOnly = combineExtractors(extractISOTime); function parseISOTimeOnly(s2) { return parse(s2, [isoTimeOnly, extractISOTimeOnly]); } var sqlYmdWithTimeExtensionRegex = combineRegexes(sqlYmdRegex, sqlTimeExtensionRegex); var sqlTimeCombinedRegex = combineRegexes(sqlTimeRegex); var extractISOTimeOffsetAndIANAZone = combineExtractors(extractISOTime, extractISOOffset, extractIANAZone); function parseSQL(s2) { return parse(s2, [sqlYmdWithTimeExtensionRegex, extractISOYmdTimeAndOffset], [sqlTimeCombinedRegex, extractISOTimeOffsetAndIANAZone]); } var INVALID$2 = "Invalid Duration"; var lowOrderMatrix = { weeks: { days: 7, hours: 7 * 24, minutes: 7 * 24 * 60, seconds: 7 * 24 * 60 * 60, milliseconds: 7 * 24 * 60 * 60 * 1e3 }, days: { hours: 24, minutes: 24 * 60, seconds: 24 * 60 * 60, milliseconds: 24 * 60 * 60 * 1e3 }, hours: { minutes: 60, seconds: 60 * 60, milliseconds: 60 * 60 * 1e3 }, minutes: { seconds: 60, milliseconds: 60 * 1e3 }, seconds: { milliseconds: 1e3 } }; var casualMatrix = __spreadValues({ years: { quarters: 4, months: 12, weeks: 52, days: 365, hours: 365 * 24, minutes: 365 * 24 * 60, seconds: 365 * 24 * 60 * 60, milliseconds: 365 * 24 * 60 * 60 * 1e3 }, quarters: { months: 3, weeks: 13, days: 91, hours: 91 * 24, minutes: 91 * 24 * 60, seconds: 91 * 24 * 60 * 60, milliseconds: 91 * 24 * 60 * 60 * 1e3 }, months: { weeks: 4, days: 30, hours: 30 * 24, minutes: 30 * 24 * 60, seconds: 30 * 24 * 60 * 60, milliseconds: 30 * 24 * 60 * 60 * 1e3 } }, lowOrderMatrix); var daysInYearAccurate = 146097 / 400; var daysInMonthAccurate = 146097 / 4800; var accurateMatrix = __spreadValues({ years: { quarters: 4, months: 12, weeks: daysInYearAccurate / 7, days: daysInYearAccurate, hours: daysInYearAccurate * 24, minutes: daysInYearAccurate * 24 * 60, seconds: daysInYearAccurate * 24 * 60 * 60, milliseconds: daysInYearAccurate * 24 * 60 * 60 * 1e3 }, quarters: { months: 3, weeks: daysInYearAccurate / 28, days: daysInYearAccurate / 4, hours: daysInYearAccurate * 24 / 4, minutes: daysInYearAccurate * 24 * 60 / 4, seconds: daysInYearAccurate * 24 * 60 * 60 / 4, milliseconds: daysInYearAccurate * 24 * 60 * 60 * 1e3 / 4 }, months: { weeks: daysInMonthAccurate / 7, days: daysInMonthAccurate, hours: daysInMonthAccurate * 24, minutes: daysInMonthAccurate * 24 * 60, seconds: daysInMonthAccurate * 24 * 60 * 60, milliseconds: daysInMonthAccurate * 24 * 60 * 60 * 1e3 } }, lowOrderMatrix); var orderedUnits$1 = [ "years", "quarters", "months", "weeks", "days", "hours", "minutes", "seconds", "milliseconds" ]; var reverseUnits = orderedUnits$1.slice(0).reverse(); function clone$1(dur, alts, clear = false) { const conf = { values: clear ? alts.values : __spreadValues(__spreadValues({}, dur.values), alts.values || {}), loc: dur.loc.clone(alts.loc), conversionAccuracy: alts.conversionAccuracy || dur.conversionAccuracy, matrix: alts.matrix || dur.matrix }; return new Duration(conf); } function durationToMillis(matrix, vals) { var _a; let sum = (_a = vals.milliseconds) != null ? _a : 0; for (const unit of reverseUnits.slice(1)) { if (vals[unit]) { sum += vals[unit] * matrix[unit]["milliseconds"]; } } return sum; } function normalizeValues(matrix, vals) { const factor = durationToMillis(matrix, vals) < 0 ? -1 : 1; orderedUnits$1.reduceRight((previous, current) => { if (!isUndefined(vals[current])) { if (previous) { const previousVal = vals[previous] * factor; const conv = matrix[current][previous]; const rollUp = Math.floor(previousVal / conv); vals[current] += rollUp * factor; vals[previous] -= rollUp * conv * factor; } return current; } else { return previous; } }, null); orderedUnits$1.reduce((previous, current) => { if (!isUndefined(vals[current])) { if (previous) { const fraction = vals[previous] % 1; vals[previous] -= fraction; vals[current] += fraction * matrix[previous][current]; } return current; } else { return previous; } }, null); } function removeZeroes(vals) { const newVals = {}; for (const [key, value] of Object.entries(vals)) { if (value !== 0) { newVals[key] = value; } } return newVals; } var Duration = class { constructor(config) { const accurate = config.conversionAccuracy === "longterm" || false; let matrix = accurate ? accurateMatrix : casualMatrix; if (config.matrix) { matrix = config.matrix; } this.values = config.values; this.loc = config.loc || Locale.create(); this.conversionAccuracy = accurate ? "longterm" : "casual"; this.invalid = config.invalid || null; this.matrix = matrix; this.isLuxonDuration = true; } static fromMillis(count, opts) { return Duration.fromObject({ milliseconds: count }, opts); } static fromObject(obj, opts = {}) { if (obj == null || typeof obj !== "object") { throw new InvalidArgumentError(`Duration.fromObject: argument expected to be an object, got ${obj === null ? "null" : typeof obj}`); } return new Duration({ values: normalizeObject(obj, Duration.normalizeUnit), loc: Locale.fromObject(opts), conversionAccuracy: opts.conversionAccuracy, matrix: opts.matrix }); } static fromDurationLike(durationLike) { if (isNumber(durationLike)) { return Duration.fromMillis(durationLike); } else if (Duration.isDuration(durationLike)) { return durationLike; } else if (typeof durationLike === "object") { return Duration.fromObject(durationLike); } else { throw new InvalidArgumentError(`Unknown duration argument ${durationLike} of type ${typeof durationLike}`); } } static fromISO(text, opts) { const [parsed] = parseISODuration(text); if (parsed) { return Duration.fromObject(parsed, opts); } else { return Duration.invalid("unparsable", `the input "${text}" can't be parsed as ISO 8601`); } } static fromISOTime(text, opts) { const [parsed] = parseISOTimeOnly(text); if (parsed) { return Duration.fromObject(parsed, opts); } else { return Duration.invalid("unparsable", `the input "${text}" can't be parsed as ISO 8601`); } } static invalid(reason, explanation = null) { if (!reason) { throw new InvalidArgumentError("need to specify a reason the Duration is invalid"); } const invalid = reason instanceof Invalid ? reason : new Invalid(reason, explanation); if (Settings.throwOnInvalid) { throw new InvalidDurationError(invalid); } else { return new Duration({ invalid }); } } static normalizeUnit(unit) { const normalized = { year: "years", years: "years", quarter: "quarters", quarters: "quarters", month: "months", months: "months", week: "weeks", weeks: "weeks", day: "days", days: "days", hour: "hours", hours: "hours", minute: "minutes", minutes: "minutes", second: "seconds", seconds: "seconds", millisecond: "milliseconds", milliseconds: "milliseconds" }[unit ? unit.toLowerCase() : unit]; if (!normalized) throw new InvalidUnitError(unit); return normalized; } static isDuration(o) { return o && o.isLuxonDuration || false; } get locale() { return this.isValid ? this.loc.locale : null; } get numberingSystem() { return this.isValid ? this.loc.numberingSystem : null; } toFormat(fmt, opts = {}) { const fmtOpts = __spreadProps(__spreadValues({}, opts), { floor: opts.round !== false && opts.floor !== false }); return this.isValid ? Formatter.create(this.loc, fmtOpts).formatDurationFromString(this, fmt) : INVALID$2; } toHuman(opts = {}) { if (!this.isValid) return INVALID$2; const l2 = orderedUnits$1.map((unit) => { const val = this.values[unit]; if (isUndefined(val)) { return null; } return this.loc.numberFormatter(__spreadProps(__spreadValues({ style: "unit", unitDisplay: "long" }, opts), { unit: unit.slice(0, -1) })).format(val); }).filter((n2) => n2); return this.loc.listFormatter(__spreadValues({ type: "conjunction", style: opts.listStyle || "narrow" }, opts)).format(l2); } toObject() { if (!this.isValid) return {}; return __spreadValues({}, this.values); } toISO() { if (!this.isValid) return null; let s2 = "P"; if (this.years !== 0) s2 += this.years + "Y"; if (this.months !== 0 || this.quarters !== 0) s2 += this.months + this.quarters * 3 + "M"; if (this.weeks !== 0) s2 += this.weeks + "W"; if (this.days !== 0) s2 += this.days + "D"; if (this.hours !== 0 || this.minutes !== 0 || this.seconds !== 0 || this.milliseconds !== 0) s2 += "T"; if (this.hours !== 0) s2 += this.hours + "H"; if (this.minutes !== 0) s2 += this.minutes + "M"; if (this.seconds !== 0 || this.milliseconds !== 0) s2 += roundTo(this.seconds + this.milliseconds / 1e3, 3) + "S"; if (s2 === "P") s2 += "T0S"; return s2; } toISOTime(opts = {}) { if (!this.isValid) return null; const millis = this.toMillis(); if (millis < 0 || millis >= 864e5) return null; opts = __spreadProps(__spreadValues({ suppressMilliseconds: false, suppressSeconds: false, includePrefix: false, format: "extended" }, opts), { includeOffset: false }); const dateTime = DateTime.fromMillis(millis, { zone: "UTC" }); return dateTime.toISOTime(opts); } toJSON() { return this.toISO(); } toString() { return this.toISO(); } toMillis() { if (!this.isValid) return NaN; return durationToMillis(this.matrix, this.values); } valueOf() { return this.toMillis(); } plus(duration) { if (!this.isValid) return this; const dur = Duration.fromDurationLike(duration), result = {}; for (const k of orderedUnits$1) { if (hasOwnProperty(dur.values, k) || hasOwnProperty(this.values, k)) { result[k] = dur.get(k) + this.get(k); } } return clone$1(this, { values: result }, true); } minus(duration) { if (!this.isValid) return this; const dur = Duration.fromDurationLike(duration); return this.plus(dur.negate()); } mapUnits(fn2) { if (!this.isValid) return this; const result = {}; for (const k of Object.keys(this.values)) { result[k] = asNumber(fn2(this.values[k], k)); } return clone$1(this, { values: result }, true); } get(unit) { return this[Duration.normalizeUnit(unit)]; } set(values) { if (!this.isValid) return this; const mixed = __spreadValues(__spreadValues({}, this.values), normalizeObject(values, Duration.normalizeUnit)); return clone$1(this, { values: mixed }); } reconfigure({ locale, numberingSystem, conversionAccuracy, matrix } = {}) { const loc = this.loc.clone({ locale, numberingSystem }); const opts = { loc, matrix, conversionAccuracy }; return clone$1(this, opts); } as(unit) { return this.isValid ? this.shiftTo(unit).get(unit) : NaN; } normalize() { if (!this.isValid) return this; const vals = this.toObject(); normalizeValues(this.matrix, vals); return clone$1(this, { values: vals }, true); } rescale() { if (!this.isValid) return this; const vals = removeZeroes(this.normalize().shiftToAll().toObject()); return clone$1(this, { values: vals }, true); } shiftTo(...units) { if (!this.isValid) return this; if (units.length === 0) { return this; } units = units.map((u) => Duration.normalizeUnit(u)); const built = {}, accumulated = {}, vals = this.toObject(); let lastUnit; for (const k of orderedUnits$1) { if (units.indexOf(k) >= 0) { lastUnit = k; let own = 0; for (const ak in accumulated) { own += this.matrix[ak][k] * accumulated[ak]; accumulated[ak] = 0; } if (isNumber(vals[k])) { own += vals[k]; } const i = Math.trunc(own); built[k] = i; accumulated[k] = (own * 1e3 - i * 1e3) / 1e3; } else if (isNumber(vals[k])) { accumulated[k] = vals[k]; } } for (const key in accumulated) { if (accumulated[key] !== 0) { built[lastUnit] += key === lastUnit ? accumulated[key] : accumulated[key] / this.matrix[lastUnit][key]; } } normalizeValues(this.matrix, built); return clone$1(this, { values: built }, true); } shiftToAll() { if (!this.isValid) return this; return this.shiftTo("years", "months", "weeks", "days", "hours", "minutes", "seconds", "milliseconds"); } negate() { if (!this.isValid) return this; const negated = {}; for (const k of Object.keys(this.values)) { negated[k] = this.values[k] === 0 ? 0 : -this.values[k]; } return clone$1(this, { values: negated }, true); } get years() { return this.isValid ? this.values.years || 0 : NaN; } get quarters() { return this.isValid ? this.values.quarters || 0 : NaN; } get months() { return this.isValid ? this.values.months || 0 : NaN; } get weeks() { return this.isValid ? this.values.weeks || 0 : NaN; } get days() { return this.isValid ? this.values.days || 0 : NaN; } get hours() { return this.isValid ? this.values.hours || 0 : NaN; } get minutes() { return this.isValid ? this.values.minutes || 0 : NaN; } get seconds() { return this.isValid ? this.values.seconds || 0 : NaN; } get milliseconds() { return this.isValid ? this.values.milliseconds || 0 : NaN; } get isValid() { return this.invalid === null; } get invalidReason() { return this.invalid ? this.invalid.reason : null; } get invalidExplanation() { return this.invalid ? this.invalid.explanation : null; } equals(other) { if (!this.isValid || !other.isValid) { return false; } if (!this.loc.equals(other.loc)) { return false; } function eq(v1, v2) { if (v1 === void 0 || v1 === 0) return v2 === void 0 || v2 === 0; return v1 === v2; } for (const u of orderedUnits$1) { if (!eq(this.values[u], other.values[u])) { return false; } } return true; } }; var INVALID$1 = "Invalid Interval"; function validateStartEnd(start, end) { if (!start || !start.isValid) { return Interval.invalid("missing or invalid start"); } else if (!end || !end.isValid) { return Interval.invalid("missing or invalid end"); } else if (end < start) { return Interval.invalid("end before start", `The end of an interval must be after its start, but you had start=${start.toISO()} and end=${end.toISO()}`); } else { return null; } } var Interval = class { constructor(config) { this.s = config.start; this.e = config.end; this.invalid = config.invalid || null; this.isLuxonInterval = true; } static invalid(reason, explanation = null) { if (!reason) { throw new InvalidArgumentError("need to specify a reason the Interval is invalid"); } const invalid = reason instanceof Invalid ? reason : new Invalid(reason, explanation); if (Settings.throwOnInvalid) { throw new InvalidIntervalError(invalid); } else { return new Interval({ invalid }); } } static fromDateTimes(start, end) { const builtStart = friendlyDateTime(start), builtEnd = friendlyDateTime(end); const validateError = validateStartEnd(builtStart, builtEnd); if (validateError == null) { return new Interval({ start: builtStart, end: builtEnd }); } else { return validateError; } } static after(start, duration) { const dur = Duration.fromDurationLike(duration), dt = friendlyDateTime(start); return Interval.fromDateTimes(dt, dt.plus(dur)); } static before(end, duration) { const dur = Duration.fromDurationLike(duration), dt = friendlyDateTime(end); return Interval.fromDateTimes(dt.minus(dur), dt); } static fromISO(text, opts) { const [s2, e] = (text || "").split("/", 2); if (s2 && e) { let start, startIsValid; try { start = DateTime.fromISO(s2, opts); startIsValid = start.isValid; } catch (e2) { startIsValid = false; } let end, endIsValid; try { end = DateTime.fromISO(e, opts); endIsValid = end.isValid; } catch (e2) { endIsValid = false; } if (startIsValid && endIsValid) { return Interval.fromDateTimes(start, end); } if (startIsValid) { const dur = Duration.fromISO(e, opts); if (dur.isValid) { return Interval.after(start, dur); } } else if (endIsValid) { const dur = Duration.fromISO(s2, opts); if (dur.isValid) { return Interval.before(end, dur); } } } return Interval.invalid("unparsable", `the input "${text}" can't be parsed as ISO 8601`); } static isInterval(o) { return o && o.isLuxonInterval || false; } get start() { return this.isValid ? this.s : null; } get end() { return this.isValid ? this.e : null; } get isValid() { return this.invalidReason === null; } get invalidReason() { return this.invalid ? this.invalid.reason : null; } get invalidExplanation() { return this.invalid ? this.invalid.explanation : null; } length(unit = "milliseconds") { return this.isValid ? this.toDuration(...[unit]).get(unit) : NaN; } count(unit = "milliseconds") { if (!this.isValid) return NaN; const start = this.start.startOf(unit), end = this.end.startOf(unit); return Math.floor(end.diff(start, unit).get(unit)) + (end.valueOf() !== this.end.valueOf()); } hasSame(unit) { return this.isValid ? this.isEmpty() || this.e.minus(1).hasSame(this.s, unit) : false; } isEmpty() { return this.s.valueOf() === this.e.valueOf(); } isAfter(dateTime) { if (!this.isValid) return false; return this.s > dateTime; } isBefore(dateTime) { if (!this.isValid) return false; return this.e <= dateTime; } contains(dateTime) { if (!this.isValid) return false; return this.s <= dateTime && this.e > dateTime; } set({ start, end } = {}) { if (!this.isValid) return this; return Interval.fromDateTimes(start || this.s, end || this.e); } splitAt(...dateTimes) { if (!this.isValid) return []; const sorted = dateTimes.map(friendlyDateTime).filter((d) => this.contains(d)).sort(), results = []; let { s: s2 } = this, i = 0; while (s2 < this.e) { const added = sorted[i] || this.e, next = +added > +this.e ? this.e : added; results.push(Interval.fromDateTimes(s2, next)); s2 = next; i += 1; } return results; } splitBy(duration) { const dur = Duration.fromDurationLike(duration); if (!this.isValid || !dur.isValid || dur.as("milliseconds") === 0) { return []; } let { s: s2 } = this, idx = 1, next; const results = []; while (s2 < this.e) { const added = this.start.plus(dur.mapUnits((x) => x * idx)); next = +added > +this.e ? this.e : added; results.push(Interval.fromDateTimes(s2, next)); s2 = next; idx += 1; } return results; } divideEqually(numberOfParts) { if (!this.isValid) return []; return this.splitBy(this.length() / numberOfParts).slice(0, numberOfParts); } overlaps(other) { return this.e > other.s && this.s < other.e; } abutsStart(other) { if (!this.isValid) return false; return +this.e === +other.s; } abutsEnd(other) { if (!this.isValid) return false; return +other.e === +this.s; } engulfs(other) { if (!this.isValid) return false; return this.s <= other.s && this.e >= other.e; } equals(other) { if (!this.isValid || !other.isValid) { return false; } return this.s.equals(other.s) && this.e.equals(other.e); } intersection(other) { if (!this.isValid) return this; const s2 = this.s > other.s ? this.s : other.s, e = this.e < other.e ? this.e : other.e; if (s2 >= e) { return null; } else { return Interval.fromDateTimes(s2, e); } } union(other) { if (!this.isValid) return this; const s2 = this.s < other.s ? this.s : other.s, e = this.e > other.e ? this.e : other.e; return Interval.fromDateTimes(s2, e); } static merge(intervals) { const [found, final] = intervals.sort((a, b) => a.s - b.s).reduce(([sofar, current], item) => { if (!current) { return [sofar, item]; } else if (current.overlaps(item) || current.abutsStart(item)) { return [sofar, current.union(item)]; } else { return [sofar.concat([current]), item]; } }, [[], null]); if (final) { found.push(final); } return found; } static xor(intervals) { let start = null, currentCount = 0; const results = [], ends = intervals.map((i) => [ { time: i.s, type: "s" }, { time: i.e, type: "e" } ]), flattened = Array.prototype.concat(...ends), arr = flattened.sort((a, b) => a.time - b.time); for (const i of arr) { currentCount += i.type === "s" ? 1 : -1; if (currentCount === 1) { start = i.time; } else { if (start && +start !== +i.time) { results.push(Interval.fromDateTimes(start, i.time)); } start = null; } } return Interval.merge(results); } difference(...intervals) { return Interval.xor([this].concat(intervals)).map((i) => this.intersection(i)).filter((i) => i && !i.isEmpty()); } toString() { if (!this.isValid) return INVALID$1; return `[${this.s.toISO()} \u2013 ${this.e.toISO()})`; } toLocaleString(formatOpts = DATE_SHORT, opts = {}) { return this.isValid ? Formatter.create(this.s.loc.clone(opts), formatOpts).formatInterval(this) : INVALID$1; } toISO(opts) { if (!this.isValid) return INVALID$1; return `${this.s.toISO(opts)}/${this.e.toISO(opts)}`; } toISODate() { if (!this.isValid) return INVALID$1; return `${this.s.toISODate()}/${this.e.toISODate()}`; } toISOTime(opts) { if (!this.isValid) return INVALID$1; return `${this.s.toISOTime(opts)}/${this.e.toISOTime(opts)}`; } toFormat(dateFormat, { separator = " \u2013 " } = {}) { if (!this.isValid) return INVALID$1; return `${this.s.toFormat(dateFormat)}${separator}${this.e.toFormat(dateFormat)}`; } toDuration(unit, opts) { if (!this.isValid) { return Duration.invalid(this.invalidReason); } return this.e.diff(this.s, unit, opts); } mapEndpoints(mapFn) { return Interval.fromDateTimes(mapFn(this.s), mapFn(this.e)); } }; var Info = class { static hasDST(zone = Settings.defaultZone) { const proto = DateTime.now().setZone(zone).set({ month: 12 }); return !zone.isUniversal && proto.offset !== proto.set({ month: 6 }).offset; } static isValidIANAZone(zone) { return IANAZone.isValidZone(zone); } static normalizeZone(input) { return normalizeZone(input, Settings.defaultZone); } static months(length = "long", { locale = null, numberingSystem = null, locObj = null, outputCalendar = "gregory" } = {}) { return (locObj || Locale.create(locale, numberingSystem, outputCalendar)).months(length); } static monthsFormat(length = "long", { locale = null, numberingSystem = null, locObj = null, outputCalendar = "gregory" } = {}) { return (locObj || Locale.create(locale, numberingSystem, outputCalendar)).months(length, true); } static weekdays(length = "long", { locale = null, numberingSystem = null, locObj = null } = {}) { return (locObj || Locale.create(locale, numberingSystem, null)).weekdays(length); } static weekdaysFormat(length = "long", { locale = null, numberingSystem = null, locObj = null } = {}) { return (locObj || Locale.create(locale, numberingSystem, null)).weekdays(length, true); } static meridiems({ locale = null } = {}) { return Locale.create(locale).meridiems(); } static eras(length = "short", { locale = null } = {}) { return Locale.create(locale, null, "gregory").eras(length); } static features() { return { relative: hasRelative() }; } }; function dayDiff(earlier, later) { const utcDayStart = (dt) => dt.toUTC(0, { keepLocalTime: true }).startOf("day").valueOf(), ms = utcDayStart(later) - utcDayStart(earlier); return Math.floor(Duration.fromMillis(ms).as("days")); } function highOrderDiffs(cursor, later, units) { const differs = [ ["years", (a, b) => b.year - a.year], ["quarters", (a, b) => b.quarter - a.quarter + (b.year - a.year) * 4], ["months", (a, b) => b.month - a.month + (b.year - a.year) * 12], [ "weeks", (a, b) => { const days = dayDiff(a, b); return (days - days % 7) / 7; } ], ["days", dayDiff] ]; const results = {}; const earlier = cursor; let lowestOrder, highWater; for (const [unit, differ] of differs) { if (units.indexOf(unit) >= 0) { lowestOrder = unit; results[unit] = differ(cursor, later); highWater = earlier.plus(results); if (highWater > later) { results[unit]--; cursor = earlier.plus(results); if (cursor > later) { highWater = cursor; results[unit]--; cursor = earlier.plus(results); } } else { cursor = highWater; } } } return [cursor, results, highWater, lowestOrder]; } function diff(earlier, later, units, opts) { let [cursor, results, highWater, lowestOrder] = highOrderDiffs(earlier, later, units); const remainingMillis = later - cursor; const lowerOrderUnits = units.filter((u) => ["hours", "minutes", "seconds", "milliseconds"].indexOf(u) >= 0); if (lowerOrderUnits.length === 0) { if (highWater < later) { highWater = cursor.plus({ [lowestOrder]: 1 }); } if (highWater !== cursor) { results[lowestOrder] = (results[lowestOrder] || 0) + remainingMillis / (highWater - cursor); } } const duration = Duration.fromObject(results, opts); if (lowerOrderUnits.length > 0) { return Duration.fromMillis(remainingMillis, opts).shiftTo(...lowerOrderUnits).plus(duration); } else { return duration; } } var numberingSystems = { arab: "[\u0660-\u0669]", arabext: "[\u06F0-\u06F9]", bali: "[\u1B50-\u1B59]", beng: "[\u09E6-\u09EF]", deva: "[\u0966-\u096F]", fullwide: "[\uFF10-\uFF19]", gujr: "[\u0AE6-\u0AEF]", hanidec: "[\u3007|\u4E00|\u4E8C|\u4E09|\u56DB|\u4E94|\u516D|\u4E03|\u516B|\u4E5D]", khmr: "[\u17E0-\u17E9]", knda: "[\u0CE6-\u0CEF]", laoo: "[\u0ED0-\u0ED9]", limb: "[\u1946-\u194F]", mlym: "[\u0D66-\u0D6F]", mong: "[\u1810-\u1819]", mymr: "[\u1040-\u1049]", orya: "[\u0B66-\u0B6F]", tamldec: "[\u0BE6-\u0BEF]", telu: "[\u0C66-\u0C6F]", thai: "[\u0E50-\u0E59]", tibt: "[\u0F20-\u0F29]", latn: "\\d" }; var numberingSystemsUTF16 = { arab: [1632, 1641], arabext: [1776, 1785], bali: [6992, 7001], beng: [2534, 2543], deva: [2406, 2415], fullwide: [65296, 65303], gujr: [2790, 2799], khmr: [6112, 6121], knda: [3302, 3311], laoo: [3792, 3801], limb: [6470, 6479], mlym: [3430, 3439], mong: [6160, 6169], mymr: [4160, 4169], orya: [2918, 2927], tamldec: [3046, 3055], telu: [3174, 3183], thai: [3664, 3673], tibt: [3872, 3881] }; var hanidecChars = numberingSystems.hanidec.replace(/[\[|\]]/g, "").split(""); function parseDigits(str) { let value = parseInt(str, 10); if (isNaN(value)) { value = ""; for (let i = 0; i < str.length; i++) { const code = str.charCodeAt(i); if (str[i].search(numberingSystems.hanidec) !== -1) { value += hanidecChars.indexOf(str[i]); } else { for (const key in numberingSystemsUTF16) { const [min, max] = numberingSystemsUTF16[key]; if (code >= min && code <= max) { value += code - min; } } } } return parseInt(value, 10); } else { return value; } } function digitRegex({ numberingSystem }, append = "") { return new RegExp(`${numberingSystems[numberingSystem || "latn"]}${append}`); } var MISSING_FTP = "missing Intl.DateTimeFormat.formatToParts support"; function intUnit(regex, post = (i) => i) { return { regex, deser: ([s2]) => post(parseDigits(s2)) }; } var NBSP = String.fromCharCode(160); var spaceOrNBSP = `[ ${NBSP}]`; var spaceOrNBSPRegExp = new RegExp(spaceOrNBSP, "g"); function fixListRegex(s2) { return s2.replace(/\./g, "\\.?").replace(spaceOrNBSPRegExp, spaceOrNBSP); } function stripInsensitivities(s2) { return s2.replace(/\./g, "").replace(spaceOrNBSPRegExp, " ").toLowerCase(); } function oneOf(strings, startIndex) { if (strings === null) { return null; } else { return { regex: RegExp(strings.map(fixListRegex).join("|")), deser: ([s2]) => strings.findIndex((i) => stripInsensitivities(s2) === stripInsensitivities(i)) + startIndex }; } } function offset(regex, groups) { return { regex, deser: ([, h, m]) => signedOffset(h, m), groups }; } function simple(regex) { return { regex, deser: ([s2]) => s2 }; } function escapeToken(value) { return value.replace(/[\-\[\]{}()*+?.,\\\^$|#\s]/g, "\\$&"); } function unitForToken(token, loc) { const one = digitRegex(loc), two = digitRegex(loc, "{2}"), three = digitRegex(loc, "{3}"), four = digitRegex(loc, "{4}"), six = digitRegex(loc, "{6}"), oneOrTwo = digitRegex(loc, "{1,2}"), oneToThree = digitRegex(loc, "{1,3}"), oneToSix = digitRegex(loc, "{1,6}"), oneToNine = digitRegex(loc, "{1,9}"), twoToFour = digitRegex(loc, "{2,4}"), fourToSix = digitRegex(loc, "{4,6}"), literal = (t) => ({ regex: RegExp(escapeToken(t.val)), deser: ([s2]) => s2, literal: true }), unitate = (t) => { if (token.literal) { return literal(t); } switch (t.val) { case "G": return oneOf(loc.eras("short"), 0); case "GG": return oneOf(loc.eras("long"), 0); case "y": return intUnit(oneToSix); case "yy": return intUnit(twoToFour, untruncateYear); case "yyyy": return intUnit(four); case "yyyyy": return intUnit(fourToSix); case "yyyyyy": return intUnit(six); case "M": return intUnit(oneOrTwo); case "MM": return intUnit(two); case "MMM": return oneOf(loc.months("short", true), 1); case "MMMM": return oneOf(loc.months("long", true), 1); case "L": return intUnit(oneOrTwo); case "LL": return intUnit(two); case "LLL": return oneOf(loc.months("short", false), 1); case "LLLL": return oneOf(loc.months("long", false), 1); case "d": return intUnit(oneOrTwo); case "dd": return intUnit(two); case "o": return intUnit(oneToThree); case "ooo": return intUnit(three); case "HH": return intUnit(two); case "H": return intUnit(oneOrTwo); case "hh": return intUnit(two); case "h": return intUnit(oneOrTwo); case "mm": return intUnit(two); case "m": return intUnit(oneOrTwo); case "q": return intUnit(oneOrTwo); case "qq": return intUnit(two); case "s": return intUnit(oneOrTwo); case "ss": return intUnit(two); case "S": return intUnit(oneToThree); case "SSS": return intUnit(three); case "u": return simple(oneToNine); case "uu": return simple(oneOrTwo); case "uuu": return intUnit(one); case "a": return oneOf(loc.meridiems(), 0); case "kkkk": return intUnit(four); case "kk": return intUnit(twoToFour, untruncateYear); case "W": return intUnit(oneOrTwo); case "WW": return intUnit(two); case "E": case "c": return intUnit(one); case "EEE": return oneOf(loc.weekdays("short", false), 1); case "EEEE": return oneOf(loc.weekdays("long", false), 1); case "ccc": return oneOf(loc.weekdays("short", true), 1); case "cccc": return oneOf(loc.weekdays("long", true), 1); case "Z": case "ZZ": return offset(new RegExp(`([+-]${oneOrTwo.source})(?::(${two.source}))?`), 2); case "ZZZ": return offset(new RegExp(`([+-]${oneOrTwo.source})(${two.source})?`), 2); case "z": return simple(/[a-z_+-/]{1,256}?/i); case " ": return simple(/[^\S\n\r]/); default: return literal(t); } }; const unit = unitate(token) || { invalidReason: MISSING_FTP }; unit.token = token; return unit; } var partTypeStyleToTokenVal = { year: { "2-digit": "yy", numeric: "yyyyy" }, month: { numeric: "M", "2-digit": "MM", short: "MMM", long: "MMMM" }, day: { numeric: "d", "2-digit": "dd" }, weekday: { short: "EEE", long: "EEEE" }, dayperiod: "a", dayPeriod: "a", hour12: { numeric: "h", "2-digit": "hh" }, hour24: { numeric: "H", "2-digit": "HH" }, minute: { numeric: "m", "2-digit": "mm" }, second: { numeric: "s", "2-digit": "ss" }, timeZoneName: { long: "ZZZZZ", short: "ZZZ" } }; function tokenForPart(part, formatOpts, resolvedOpts) { const { type, value } = part; if (type === "literal") { const isSpace = /^\s+$/.test(value); return { literal: !isSpace, val: isSpace ? " " : value }; } const style = formatOpts[type]; let actualType = type; if (type === "hour") { if (formatOpts.hour12 != null) { actualType = formatOpts.hour12 ? "hour12" : "hour24"; } else if (formatOpts.hourCycle != null) { if (formatOpts.hourCycle === "h11" || formatOpts.hourCycle === "h12") { actualType = "hour12"; } else { actualType = "hour24"; } } else { actualType = resolvedOpts.hour12 ? "hour12" : "hour24"; } } let val = partTypeStyleToTokenVal[actualType]; if (typeof val === "object") { val = val[style]; } if (val) { return { literal: false, val }; } return void 0; } function buildRegex(units) { const re = units.map((u) => u.regex).reduce((f, r) => `${f}(${r.source})`, ""); return [`^${re}$`, units]; } function match(input, regex, handlers) { const matches = input.match(regex); if (matches) { const all = {}; let matchIndex = 1; for (const i in handlers) { if (hasOwnProperty(handlers, i)) { const h = handlers[i], groups = h.groups ? h.groups + 1 : 1; if (!h.literal && h.token) { all[h.token.val[0]] = h.deser(matches.slice(matchIndex, matchIndex + groups)); } matchIndex += groups; } } return [matches, all]; } else { return [matches, {}]; } } function dateTimeFromMatches(matches) { const toField = (token) => { switch (token) { case "S": return "millisecond"; case "s": return "second"; case "m": return "minute"; case "h": case "H": return "hour"; case "d": return "day"; case "o": return "ordinal"; case "L": case "M": return "month"; case "y": return "year"; case "E": case "c": return "weekday"; case "W": return "weekNumber"; case "k": return "weekYear"; case "q": return "quarter"; default: return null; } }; let zone = null; let specificOffset; if (!isUndefined(matches.z)) { zone = IANAZone.create(matches.z); } if (!isUndefined(matches.Z)) { if (!zone) { zone = new FixedOffsetZone(matches.Z); } specificOffset = matches.Z; } if (!isUndefined(matches.q)) { matches.M = (matches.q - 1) * 3 + 1; } if (!isUndefined(matches.h)) { if (matches.h < 12 && matches.a === 1) { matches.h += 12; } else if (matches.h === 12 && matches.a === 0) { matches.h = 0; } } if (matches.G === 0 && matches.y) { matches.y = -matches.y; } if (!isUndefined(matches.u)) { matches.S = parseMillis(matches.u); } const vals = Object.keys(matches).reduce((r, k) => { const f = toField(k); if (f) { r[f] = matches[k]; } return r; }, {}); return [vals, zone, specificOffset]; } var dummyDateTimeCache = null; function getDummyDateTime() { if (!dummyDateTimeCache) { dummyDateTimeCache = DateTime.fromMillis(1555555555555); } return dummyDateTimeCache; } function maybeExpandMacroToken(token, locale) { if (token.literal) { return token; } const formatOpts = Formatter.macroTokenToFormatOpts(token.val); const tokens = formatOptsToTokens(formatOpts, locale); if (tokens == null || tokens.includes(void 0)) { return token; } return tokens; } function expandMacroTokens(tokens, locale) { return Array.prototype.concat(...tokens.map((t) => maybeExpandMacroToken(t, locale))); } function explainFromTokens(locale, input, format) { const tokens = expandMacroTokens(Formatter.parseFormat(format), locale), units = tokens.map((t) => unitForToken(t, locale)), disqualifyingUnit = units.find((t) => t.invalidReason); if (disqualifyingUnit) { return { input, tokens, invalidReason: disqualifyingUnit.invalidReason }; } else { const [regexString, handlers] = buildRegex(units), regex = RegExp(regexString, "i"), [rawMatches, matches] = match(input, regex, handlers), [result, zone, specificOffset] = matches ? dateTimeFromMatches(matches) : [null, null, void 0]; if (hasOwnProperty(matches, "a") && hasOwnProperty(matches, "H")) { throw new ConflictingSpecificationError("Can't include meridiem when specifying 24-hour format"); } return { input, tokens, regex, rawMatches, matches, result, zone, specificOffset }; } } function parseFromTokens(locale, input, format) { const { result, zone, specificOffset, invalidReason } = explainFromTokens(locale, input, format); return [result, zone, specificOffset, invalidReason]; } function formatOptsToTokens(formatOpts, locale) { if (!formatOpts) { return null; } const formatter = Formatter.create(locale, formatOpts); const df = formatter.dtFormatter(getDummyDateTime()); const parts = df.formatToParts(); const resolvedOpts = df.resolvedOptions(); return parts.map((p) => tokenForPart(p, formatOpts, resolvedOpts)); } var nonLeapLadder = [0, 31, 59, 90, 120, 151, 181, 212, 243, 273, 304, 334]; var leapLadder = [0, 31, 60, 91, 121, 152, 182, 213, 244, 274, 305, 335]; function unitOutOfRange(unit, value) { return new Invalid("unit out of range", `you specified ${value} (of type ${typeof value}) as a ${unit}, which is invalid`); } function dayOfWeek(year, month, day) { const d = new Date(Date.UTC(year, month - 1, day)); if (year < 100 && year >= 0) { d.setUTCFullYear(d.getUTCFullYear() - 1900); } const js = d.getUTCDay(); return js === 0 ? 7 : js; } function computeOrdinal(year, month, day) { return day + (isLeapYear(year) ? leapLadder : nonLeapLadder)[month - 1]; } function uncomputeOrdinal(year, ordinal) { const table = isLeapYear(year) ? leapLadder : nonLeapLadder, month0 = table.findIndex((i) => i < ordinal), day = ordinal - table[month0]; return { month: month0 + 1, day }; } function gregorianToWeek(gregObj) { const { year, month, day } = gregObj, ordinal = computeOrdinal(year, month, day), weekday = dayOfWeek(year, month, day); let weekNumber = Math.floor((ordinal - weekday + 10) / 7), weekYear; if (weekNumber < 1) { weekYear = year - 1; weekNumber = weeksInWeekYear(weekYear); } else if (weekNumber > weeksInWeekYear(year)) { weekYear = year + 1; weekNumber = 1; } else { weekYear = year; } return __spreadValues({ weekYear, weekNumber, weekday }, timeObject(gregObj)); } function weekToGregorian(weekData) { const { weekYear, weekNumber, weekday } = weekData, weekdayOfJan4 = dayOfWeek(weekYear, 1, 4), yearInDays = daysInYear(weekYear); let ordinal = weekNumber * 7 + weekday - weekdayOfJan4 - 3, year; if (ordinal < 1) { year = weekYear - 1; ordinal += daysInYear(year); } else if (ordinal > yearInDays) { year = weekYear + 1; ordinal -= daysInYear(weekYear); } else { year = weekYear; } const { month, day } = uncomputeOrdinal(year, ordinal); return __spreadValues({ year, month, day }, timeObject(weekData)); } function gregorianToOrdinal(gregData) { const { year, month, day } = gregData; const ordinal = computeOrdinal(year, month, day); return __spreadValues({ year, ordinal }, timeObject(gregData)); } function ordinalToGregorian(ordinalData) { const { year, ordinal } = ordinalData; const { month, day } = uncomputeOrdinal(year, ordinal); return __spreadValues({ year, month, day }, timeObject(ordinalData)); } function hasInvalidWeekData(obj) { const validYear = isInteger(obj.weekYear), validWeek = integerBetween(obj.weekNumber, 1, weeksInWeekYear(obj.weekYear)), validWeekday = integerBetween(obj.weekday, 1, 7); if (!validYear) { return unitOutOfRange("weekYear", obj.weekYear); } else if (!validWeek) { return unitOutOfRange("week", obj.week); } else if (!validWeekday) { return unitOutOfRange("weekday", obj.weekday); } else return false; } function hasInvalidOrdinalData(obj) { const validYear = isInteger(obj.year), validOrdinal = integerBetween(obj.ordinal, 1, daysInYear(obj.year)); if (!validYear) { return unitOutOfRange("year", obj.year); } else if (!validOrdinal) { return unitOutOfRange("ordinal", obj.ordinal); } else return false; } function hasInvalidGregorianData(obj) { const validYear = isInteger(obj.year), validMonth = integerBetween(obj.month, 1, 12), validDay = integerBetween(obj.day, 1, daysInMonth(obj.year, obj.month)); if (!validYear) { return unitOutOfRange("year", obj.year); } else if (!validMonth) { return unitOutOfRange("month", obj.month); } else if (!validDay) { return unitOutOfRange("day", obj.day); } else return false; } function hasInvalidTimeData(obj) { const { hour, minute, second, millisecond } = obj; const validHour = integerBetween(hour, 0, 23) || hour === 24 && minute === 0 && second === 0 && millisecond === 0, validMinute = integerBetween(minute, 0, 59), validSecond = integerBetween(second, 0, 59), validMillisecond = integerBetween(millisecond, 0, 999); if (!validHour) { return unitOutOfRange("hour", hour); } else if (!validMinute) { return unitOutOfRange("minute", minute); } else if (!validSecond) { return unitOutOfRange("second", second); } else if (!validMillisecond) { return unitOutOfRange("millisecond", millisecond); } else return false; } var INVALID = "Invalid DateTime"; var MAX_DATE = 864e13; function unsupportedZone(zone) { return new Invalid("unsupported zone", `the zone "${zone.name}" is not supported`); } function possiblyCachedWeekData(dt) { if (dt.weekData === null) { dt.weekData = gregorianToWeek(dt.c); } return dt.weekData; } function clone(inst, alts) { const current = { ts: inst.ts, zone: inst.zone, c: inst.c, o: inst.o, loc: inst.loc, invalid: inst.invalid }; return new DateTime(__spreadProps(__spreadValues(__spreadValues({}, current), alts), { old: current })); } function fixOffset(localTS, o, tz) { let utcGuess = localTS - o * 60 * 1e3; const o2 = tz.offset(utcGuess); if (o === o2) { return [utcGuess, o]; } utcGuess -= (o2 - o) * 60 * 1e3; const o3 = tz.offset(utcGuess); if (o2 === o3) { return [utcGuess, o2]; } return [localTS - Math.min(o2, o3) * 60 * 1e3, Math.max(o2, o3)]; } function tsToObj(ts, offset2) { ts += offset2 * 60 * 1e3; const d = new Date(ts); return { year: d.getUTCFullYear(), month: d.getUTCMonth() + 1, day: d.getUTCDate(), hour: d.getUTCHours(), minute: d.getUTCMinutes(), second: d.getUTCSeconds(), millisecond: d.getUTCMilliseconds() }; } function objToTS(obj, offset2, zone) { return fixOffset(objToLocalTS(obj), offset2, zone); } function adjustTime(inst, dur) { const oPre = inst.o, year = inst.c.year + Math.trunc(dur.years), month = inst.c.month + Math.trunc(dur.months) + Math.trunc(dur.quarters) * 3, c = __spreadProps(__spreadValues({}, inst.c), { year, month, day: Math.min(inst.c.day, daysInMonth(year, month)) + Math.trunc(dur.days) + Math.trunc(dur.weeks) * 7 }), millisToAdd = Duration.fromObject({ years: dur.years - Math.trunc(dur.years), quarters: dur.quarters - Math.trunc(dur.quarters), months: dur.months - Math.trunc(dur.months), weeks: dur.weeks - Math.trunc(dur.weeks), days: dur.days - Math.trunc(dur.days), hours: dur.hours, minutes: dur.minutes, seconds: dur.seconds, milliseconds: dur.milliseconds }).as("milliseconds"), localTS = objToLocalTS(c); let [ts, o] = fixOffset(localTS, oPre, inst.zone); if (millisToAdd !== 0) { ts += millisToAdd; o = inst.zone.offset(ts); } return { ts, o }; } function parseDataToDateTime(parsed, parsedZone, opts, format, text, specificOffset) { const { setZone, zone } = opts; if (parsed && Object.keys(parsed).length !== 0 || parsedZone) { const interpretationZone = parsedZone || zone, inst = DateTime.fromObject(parsed, __spreadProps(__spreadValues({}, opts), { zone: interpretationZone, specificOffset })); return setZone ? inst : inst.setZone(zone); } else { return DateTime.invalid(new Invalid("unparsable", `the input "${text}" can't be parsed as ${format}`)); } } function toTechFormat(dt, format, allowZ = true) { return dt.isValid ? Formatter.create(Locale.create("en-US"), { allowZ, forceSimple: true }).formatDateTimeFromString(dt, format) : null; } function toISODate(o, extended) { const longFormat = o.c.year > 9999 || o.c.year < 0; let c = ""; if (longFormat && o.c.year >= 0) c += "+"; c += padStart(o.c.year, longFormat ? 6 : 4); if (extended) { c += "-"; c += padStart(o.c.month); c += "-"; c += padStart(o.c.day); } else { c += padStart(o.c.month); c += padStart(o.c.day); } return c; } function toISOTime(o, extended, suppressSeconds, suppressMilliseconds, includeOffset, extendedZone) { let c = padStart(o.c.hour); if (extended) { c += ":"; c += padStart(o.c.minute); if (o.c.millisecond !== 0 || o.c.second !== 0 || !suppressSeconds) { c += ":"; } } else { c += padStart(o.c.minute); } if (o.c.millisecond !== 0 || o.c.second !== 0 || !suppressSeconds) { c += padStart(o.c.second); if (o.c.millisecond !== 0 || !suppressMilliseconds) { c += "."; c += padStart(o.c.millisecond, 3); } } if (includeOffset) { if (o.isOffsetFixed && o.offset === 0 && !extendedZone) { c += "Z"; } else if (o.o < 0) { c += "-"; c += padStart(Math.trunc(-o.o / 60)); c += ":"; c += padStart(Math.trunc(-o.o % 60)); } else { c += "+"; c += padStart(Math.trunc(o.o / 60)); c += ":"; c += padStart(Math.trunc(o.o % 60)); } } if (extendedZone) { c += "[" + o.zone.ianaName + "]"; } return c; } var defaultUnitValues = { month: 1, day: 1, hour: 0, minute: 0, second: 0, millisecond: 0 }; var defaultWeekUnitValues = { weekNumber: 1, weekday: 1, hour: 0, minute: 0, second: 0, millisecond: 0 }; var defaultOrdinalUnitValues = { ordinal: 1, hour: 0, minute: 0, second: 0, millisecond: 0 }; var orderedUnits = ["year", "month", "day", "hour", "minute", "second", "millisecond"]; var orderedWeekUnits = [ "weekYear", "weekNumber", "weekday", "hour", "minute", "second", "millisecond" ]; var orderedOrdinalUnits = ["year", "ordinal", "hour", "minute", "second", "millisecond"]; function normalizeUnit(unit) { const normalized = { year: "year", years: "year", month: "month", months: "month", day: "day", days: "day", hour: "hour", hours: "hour", minute: "minute", minutes: "minute", quarter: "quarter", quarters: "quarter", second: "second", seconds: "second", millisecond: "millisecond", milliseconds: "millisecond", weekday: "weekday", weekdays: "weekday", weeknumber: "weekNumber", weeksnumber: "weekNumber", weeknumbers: "weekNumber", weekyear: "weekYear", weekyears: "weekYear", ordinal: "ordinal" }[unit.toLowerCase()]; if (!normalized) throw new InvalidUnitError(unit); return normalized; } function quickDT(obj, opts) { const zone = normalizeZone(opts.zone, Settings.defaultZone), loc = Locale.fromObject(opts), tsNow = Settings.now(); let ts, o; if (!isUndefined(obj.year)) { for (const u of orderedUnits) { if (isUndefined(obj[u])) { obj[u] = defaultUnitValues[u]; } } const invalid = hasInvalidGregorianData(obj) || hasInvalidTimeData(obj); if (invalid) { return DateTime.invalid(invalid); } const offsetProvis = zone.offset(tsNow); [ts, o] = objToTS(obj, offsetProvis, zone); } else { ts = tsNow; } return new DateTime({ ts, zone, loc, o }); } function diffRelative(start, end, opts) { const round = isUndefined(opts.round) ? true : opts.round, format = (c, unit) => { c = roundTo(c, round || opts.calendary ? 0 : 2, true); const formatter = end.loc.clone(opts).relFormatter(opts); return formatter.format(c, unit); }, differ = (unit) => { if (opts.calendary) { if (!end.hasSame(start, unit)) { return end.startOf(unit).diff(start.startOf(unit), unit).get(unit); } else return 0; } else { return end.diff(start, unit).get(unit); } }; if (opts.unit) { return format(differ(opts.unit), opts.unit); } for (const unit of opts.units) { const count = differ(unit); if (Math.abs(count) >= 1) { return format(count, unit); } } return format(start > end ? -0 : 0, opts.units[opts.units.length - 1]); } function lastOpts(argList) { let opts = {}, args2; if (argList.length > 0 && typeof argList[argList.length - 1] === "object") { opts = argList[argList.length - 1]; args2 = Array.from(argList).slice(0, argList.length - 1); } else { args2 = Array.from(argList); } return [opts, args2]; } var DateTime = class { constructor(config) { const zone = config.zone || Settings.defaultZone; let invalid = config.invalid || (Number.isNaN(config.ts) ? new Invalid("invalid input") : null) || (!zone.isValid ? unsupportedZone(zone) : null); this.ts = isUndefined(config.ts) ? Settings.now() : config.ts; let c = null, o = null; if (!invalid) { const unchanged = config.old && config.old.ts === this.ts && config.old.zone.equals(zone); if (unchanged) { [c, o] = [config.old.c, config.old.o]; } else { const ot = zone.offset(this.ts); c = tsToObj(this.ts, ot); invalid = Number.isNaN(c.year) ? new Invalid("invalid input") : null; c = invalid ? null : c; o = invalid ? null : ot; } } this._zone = zone; this.loc = config.loc || Locale.create(); this.invalid = invalid; this.weekData = null; this.c = c; this.o = o; this.isLuxonDateTime = true; } static now() { return new DateTime({}); } static local() { const [opts, args2] = lastOpts(arguments), [year, month, day, hour, minute, second, millisecond] = args2; return quickDT({ year, month, day, hour, minute, second, millisecond }, opts); } static utc() { const [opts, args2] = lastOpts(arguments), [year, month, day, hour, minute, second, millisecond] = args2; opts.zone = FixedOffsetZone.utcInstance; return quickDT({ year, month, day, hour, minute, second, millisecond }, opts); } static fromJSDate(date, options = {}) { const ts = isDate(date) ? date.valueOf() : NaN; if (Number.isNaN(ts)) { return DateTime.invalid("invalid input"); } const zoneToUse = normalizeZone(options.zone, Settings.defaultZone); if (!zoneToUse.isValid) { return DateTime.invalid(unsupportedZone(zoneToUse)); } return new DateTime({ ts, zone: zoneToUse, loc: Locale.fromObject(options) }); } static fromMillis(milliseconds, options = {}) { if (!isNumber(milliseconds)) { throw new InvalidArgumentError(`fromMillis requires a numerical input, but received a ${typeof milliseconds} with value ${milliseconds}`); } else if (milliseconds < -MAX_DATE || milliseconds > MAX_DATE) { return DateTime.invalid("Timestamp out of range"); } else { return new DateTime({ ts: milliseconds, zone: normalizeZone(options.zone, Settings.defaultZone), loc: Locale.fromObject(options) }); } } static fromSeconds(seconds, options = {}) { if (!isNumber(seconds)) { throw new InvalidArgumentError("fromSeconds requires a numerical input"); } else { return new DateTime({ ts: seconds * 1e3, zone: normalizeZone(options.zone, Settings.defaultZone), loc: Locale.fromObject(options) }); } } static fromObject(obj, opts = {}) { obj = obj || {}; const zoneToUse = normalizeZone(opts.zone, Settings.defaultZone); if (!zoneToUse.isValid) { return DateTime.invalid(unsupportedZone(zoneToUse)); } const tsNow = Settings.now(), offsetProvis = !isUndefined(opts.specificOffset) ? opts.specificOffset : zoneToUse.offset(tsNow), normalized = normalizeObject(obj, normalizeUnit), containsOrdinal = !isUndefined(normalized.ordinal), containsGregorYear = !isUndefined(normalized.year), containsGregorMD = !isUndefined(normalized.month) || !isUndefined(normalized.day), containsGregor = containsGregorYear || containsGregorMD, definiteWeekDef = normalized.weekYear || normalized.weekNumber, loc = Locale.fromObject(opts); if ((containsGregor || containsOrdinal) && definiteWeekDef) { throw new ConflictingSpecificationError("Can't mix weekYear/weekNumber units with year/month/day or ordinals"); } if (containsGregorMD && containsOrdinal) { throw new ConflictingSpecificationError("Can't mix ordinal dates with month/day"); } const useWeekData = definiteWeekDef || normalized.weekday && !containsGregor; let units, defaultValues, objNow = tsToObj(tsNow, offsetProvis); if (useWeekData) { units = orderedWeekUnits; defaultValues = defaultWeekUnitValues; objNow = gregorianToWeek(objNow); } else if (containsOrdinal) { units = orderedOrdinalUnits; defaultValues = defaultOrdinalUnitValues; objNow = gregorianToOrdinal(objNow); } else { units = orderedUnits; defaultValues = defaultUnitValues; } let foundFirst = false; for (const u of units) { const v = normalized[u]; if (!isUndefined(v)) { foundFirst = true; } else if (foundFirst) { normalized[u] = defaultValues[u]; } else { normalized[u] = objNow[u]; } } const higherOrderInvalid = useWeekData ? hasInvalidWeekData(normalized) : containsOrdinal ? hasInvalidOrdinalData(normalized) : hasInvalidGregorianData(normalized), invalid = higherOrderInvalid || hasInvalidTimeData(normalized); if (invalid) { return DateTime.invalid(invalid); } const gregorian = useWeekData ? weekToGregorian(normalized) : containsOrdinal ? ordinalToGregorian(normalized) : normalized, [tsFinal, offsetFinal] = objToTS(gregorian, offsetProvis, zoneToUse), inst = new DateTime({ ts: tsFinal, zone: zoneToUse, o: offsetFinal, loc }); if (normalized.weekday && containsGregor && obj.weekday !== inst.weekday) { return DateTime.invalid("mismatched weekday", `you can't specify both a weekday of ${normalized.weekday} and a date of ${inst.toISO()}`); } return inst; } static fromISO(text, opts = {}) { const [vals, parsedZone] = parseISODate(text); return parseDataToDateTime(vals, parsedZone, opts, "ISO 8601", text); } static fromRFC2822(text, opts = {}) { const [vals, parsedZone] = parseRFC2822Date(text); return parseDataToDateTime(vals, parsedZone, opts, "RFC 2822", text); } static fromHTTP(text, opts = {}) { const [vals, parsedZone] = parseHTTPDate(text); return parseDataToDateTime(vals, parsedZone, opts, "HTTP", opts); } static fromFormat(text, fmt, opts = {}) { if (isUndefined(text) || isUndefined(fmt)) { throw new InvalidArgumentError("fromFormat requires an input string and a format"); } const { locale = null, numberingSystem = null } = opts, localeToUse = Locale.fromOpts({ locale, numberingSystem, defaultToEN: true }), [vals, parsedZone, specificOffset, invalid] = parseFromTokens(localeToUse, text, fmt); if (invalid) { return DateTime.invalid(invalid); } else { return parseDataToDateTime(vals, parsedZone, opts, `format ${fmt}`, text, specificOffset); } } static fromString(text, fmt, opts = {}) { return DateTime.fromFormat(text, fmt, opts); } static fromSQL(text, opts = {}) { const [vals, parsedZone] = parseSQL(text); return parseDataToDateTime(vals, parsedZone, opts, "SQL", text); } static invalid(reason, explanation = null) { if (!reason) { throw new InvalidArgumentError("need to specify a reason the DateTime is invalid"); } const invalid = reason instanceof Invalid ? reason : new Invalid(reason, explanation); if (Settings.throwOnInvalid) { throw new InvalidDateTimeError(invalid); } else { return new DateTime({ invalid }); } } static isDateTime(o) { return o && o.isLuxonDateTime || false; } static parseFormatForOpts(formatOpts, localeOpts = {}) { const tokenList = formatOptsToTokens(formatOpts, Locale.fromObject(localeOpts)); return !tokenList ? null : tokenList.map((t) => t ? t.val : null).join(""); } static expandFormat(fmt, localeOpts = {}) { const expanded = expandMacroTokens(Formatter.parseFormat(fmt), Locale.fromObject(localeOpts)); return expanded.map((t) => t.val).join(""); } get(unit) { return this[unit]; } get isValid() { return this.invalid === null; } get invalidReason() { return this.invalid ? this.invalid.reason : null; } get invalidExplanation() { return this.invalid ? this.invalid.explanation : null; } get locale() { return this.isValid ? this.loc.locale : null; } get numberingSystem() { return this.isValid ? this.loc.numberingSystem : null; } get outputCalendar() { return this.isValid ? this.loc.outputCalendar : null; } get zone() { return this._zone; } get zoneName() { return this.isValid ? this.zone.name : null; } get year() { return this.isValid ? this.c.year : NaN; } get quarter() { return this.isValid ? Math.ceil(this.c.month / 3) : NaN; } get month() { return this.isValid ? this.c.month : NaN; } get day() { return this.isValid ? this.c.day : NaN; } get hour() { return this.isValid ? this.c.hour : NaN; } get minute() { return this.isValid ? this.c.minute : NaN; } get second() { return this.isValid ? this.c.second : NaN; } get millisecond() { return this.isValid ? this.c.millisecond : NaN; } get weekYear() { return this.isValid ? possiblyCachedWeekData(this).weekYear : NaN; } get weekNumber() { return this.isValid ? possiblyCachedWeekData(this).weekNumber : NaN; } get weekday() { return this.isValid ? possiblyCachedWeekData(this).weekday : NaN; } get ordinal() { return this.isValid ? gregorianToOrdinal(this.c).ordinal : NaN; } get monthShort() { return this.isValid ? Info.months("short", { locObj: this.loc })[this.month - 1] : null; } get monthLong() { return this.isValid ? Info.months("long", { locObj: this.loc })[this.month - 1] : null; } get weekdayShort() { return this.isValid ? Info.weekdays("short", { locObj: this.loc })[this.weekday - 1] : null; } get weekdayLong() { return this.isValid ? Info.weekdays("long", { locObj: this.loc })[this.weekday - 1] : null; } get offset() { return this.isValid ? +this.o : NaN; } get offsetNameShort() { if (this.isValid) { return this.zone.offsetName(this.ts, { format: "short", locale: this.locale }); } else { return null; } } get offsetNameLong() { if (this.isValid) { return this.zone.offsetName(this.ts, { format: "long", locale: this.locale }); } else { return null; } } get isOffsetFixed() { return this.isValid ? this.zone.isUniversal : null; } get isInDST() { if (this.isOffsetFixed) { return false; } else { return this.offset > this.set({ month: 1, day: 1 }).offset || this.offset > this.set({ month: 5 }).offset; } } getPossibleOffsets() { if (!this.isValid || this.isOffsetFixed) { return [this]; } const dayMs = 864e5; const minuteMs = 6e4; const localTS = objToLocalTS(this.c); const oEarlier = this.zone.offset(localTS - dayMs); const oLater = this.zone.offset(localTS + dayMs); const o1 = this.zone.offset(localTS - oEarlier * minuteMs); const o2 = this.zone.offset(localTS - oLater * minuteMs); if (o1 === o2) { return [this]; } const ts1 = localTS - o1 * minuteMs; const ts2 = localTS - o2 * minuteMs; const c1 = tsToObj(ts1, o1); const c2 = tsToObj(ts2, o2); if (c1.hour === c2.hour && c1.minute === c2.minute && c1.second === c2.second && c1.millisecond === c2.millisecond) { return [clone(this, { ts: ts1 }), clone(this, { ts: ts2 })]; } return [this]; } get isInLeapYear() { return isLeapYear(this.year); } get daysInMonth() { return daysInMonth(this.year, this.month); } get daysInYear() { return this.isValid ? daysInYear(this.year) : NaN; } get weeksInWeekYear() { return this.isValid ? weeksInWeekYear(this.weekYear) : NaN; } resolvedLocaleOptions(opts = {}) { const { locale, numberingSystem, calendar } = Formatter.create(this.loc.clone(opts), opts).resolvedOptions(this); return { locale, numberingSystem, outputCalendar: calendar }; } toUTC(offset2 = 0, opts = {}) { return this.setZone(FixedOffsetZone.instance(offset2), opts); } toLocal() { return this.setZone(Settings.defaultZone); } setZone(zone, { keepLocalTime = false, keepCalendarTime = false } = {}) { zone = normalizeZone(zone, Settings.defaultZone); if (zone.equals(this.zone)) { return this; } else if (!zone.isValid) { return DateTime.invalid(unsupportedZone(zone)); } else { let newTS = this.ts; if (keepLocalTime || keepCalendarTime) { const offsetGuess = zone.offset(this.ts); const asObj = this.toObject(); [newTS] = objToTS(asObj, offsetGuess, zone); } return clone(this, { ts: newTS, zone }); } } reconfigure({ locale, numberingSystem, outputCalendar } = {}) { const loc = this.loc.clone({ locale, numberingSystem, outputCalendar }); return clone(this, { loc }); } setLocale(locale) { return this.reconfigure({ locale }); } set(values) { if (!this.isValid) return this; const normalized = normalizeObject(values, normalizeUnit), settingWeekStuff = !isUndefined(normalized.weekYear) || !isUndefined(normalized.weekNumber) || !isUndefined(normalized.weekday), containsOrdinal = !isUndefined(normalized.ordinal), containsGregorYear = !isUndefined(normalized.year), containsGregorMD = !isUndefined(normalized.month) || !isUndefined(normalized.day), containsGregor = containsGregorYear || containsGregorMD, definiteWeekDef = normalized.weekYear || normalized.weekNumber; if ((containsGregor || containsOrdinal) && definiteWeekDef) { throw new ConflictingSpecificationError("Can't mix weekYear/weekNumber units with year/month/day or ordinals"); } if (containsGregorMD && containsOrdinal) { throw new ConflictingSpecificationError("Can't mix ordinal dates with month/day"); } let mixed; if (settingWeekStuff) { mixed = weekToGregorian(__spreadValues(__spreadValues({}, gregorianToWeek(this.c)), normalized)); } else if (!isUndefined(normalized.ordinal)) { mixed = ordinalToGregorian(__spreadValues(__spreadValues({}, gregorianToOrdinal(this.c)), normalized)); } else { mixed = __spreadValues(__spreadValues({}, this.toObject()), normalized); if (isUndefined(normalized.day)) { mixed.day = Math.min(daysInMonth(mixed.year, mixed.month), mixed.day); } } const [ts, o] = objToTS(mixed, this.o, this.zone); return clone(this, { ts, o }); } plus(duration) { if (!this.isValid) return this; const dur = Duration.fromDurationLike(duration); return clone(this, adjustTime(this, dur)); } minus(duration) { if (!this.isValid) return this; const dur = Duration.fromDurationLike(duration).negate(); return clone(this, adjustTime(this, dur)); } startOf(unit) { if (!this.isValid) return this; const o = {}, normalizedUnit = Duration.normalizeUnit(unit); switch (normalizedUnit) { case "years": o.month = 1; case "quarters": case "months": o.day = 1; case "weeks": case "days": o.hour = 0; case "hours": o.minute = 0; case "minutes": o.second = 0; case "seconds": o.millisecond = 0; break; } if (normalizedUnit === "weeks") { o.weekday = 1; } if (normalizedUnit === "quarters") { const q = Math.ceil(this.month / 3); o.month = (q - 1) * 3 + 1; } return this.set(o); } endOf(unit) { return this.isValid ? this.plus({ [unit]: 1 }).startOf(unit).minus(1) : this; } toFormat(fmt, opts = {}) { return this.isValid ? Formatter.create(this.loc.redefaultToEN(opts)).formatDateTimeFromString(this, fmt) : INVALID; } toLocaleString(formatOpts = DATE_SHORT, opts = {}) { return this.isValid ? Formatter.create(this.loc.clone(opts), formatOpts).formatDateTime(this) : INVALID; } toLocaleParts(opts = {}) { return this.isValid ? Formatter.create(this.loc.clone(opts), opts).formatDateTimeParts(this) : []; } toISO({ format = "extended", suppressSeconds = false, suppressMilliseconds = false, includeOffset = true, extendedZone = false } = {}) { if (!this.isValid) { return null; } const ext = format === "extended"; let c = toISODate(this, ext); c += "T"; c += toISOTime(this, ext, suppressSeconds, suppressMilliseconds, includeOffset, extendedZone); return c; } toISODate({ format = "extended" } = {}) { if (!this.isValid) { return null; } return toISODate(this, format === "extended"); } toISOWeekDate() { return toTechFormat(this, "kkkk-'W'WW-c"); } toISOTime({ suppressMilliseconds = false, suppressSeconds = false, includeOffset = true, includePrefix = false, extendedZone = false, format = "extended" } = {}) { if (!this.isValid) { return null; } let c = includePrefix ? "T" : ""; return c + toISOTime(this, format === "extended", suppressSeconds, suppressMilliseconds, includeOffset, extendedZone); } toRFC2822() { return toTechFormat(this, "EEE, dd LLL yyyy HH:mm:ss ZZZ", false); } toHTTP() { return toTechFormat(this.toUTC(), "EEE, dd LLL yyyy HH:mm:ss 'GMT'"); } toSQLDate() { if (!this.isValid) { return null; } return toISODate(this, true); } toSQLTime({ includeOffset = true, includeZone = false, includeOffsetSpace = true } = {}) { let fmt = "HH:mm:ss.SSS"; if (includeZone || includeOffset) { if (includeOffsetSpace) { fmt += " "; } if (includeZone) { fmt += "z"; } else if (includeOffset) { fmt += "ZZ"; } } return toTechFormat(this, fmt, true); } toSQL(opts = {}) { if (!this.isValid) { return null; } return `${this.toSQLDate()} ${this.toSQLTime(opts)}`; } toString() { return this.isValid ? this.toISO() : INVALID; } valueOf() { return this.toMillis(); } toMillis() { return this.isValid ? this.ts : NaN; } toSeconds() { return this.isValid ? this.ts / 1e3 : NaN; } toUnixInteger() { return this.isValid ? Math.floor(this.ts / 1e3) : NaN; } toJSON() { return this.toISO(); } toBSON() { return this.toJSDate(); } toObject(opts = {}) { if (!this.isValid) return {}; const base = __spreadValues({}, this.c); if (opts.includeConfig) { base.outputCalendar = this.outputCalendar; base.numberingSystem = this.loc.numberingSystem; base.locale = this.loc.locale; } return base; } toJSDate() { return new Date(this.isValid ? this.ts : NaN); } diff(otherDateTime, unit = "milliseconds", opts = {}) { if (!this.isValid || !otherDateTime.isValid) { return Duration.invalid("created by diffing an invalid DateTime"); } const durOpts = __spreadValues({ locale: this.locale, numberingSystem: this.numberingSystem }, opts); const units = maybeArray(unit).map(Duration.normalizeUnit), otherIsLater = otherDateTime.valueOf() > this.valueOf(), earlier = otherIsLater ? this : otherDateTime, later = otherIsLater ? otherDateTime : this, diffed = diff(earlier, later, units, durOpts); return otherIsLater ? diffed.negate() : diffed; } diffNow(unit = "milliseconds", opts = {}) { return this.diff(DateTime.now(), unit, opts); } until(otherDateTime) { return this.isValid ? Interval.fromDateTimes(this, otherDateTime) : this; } hasSame(otherDateTime, unit) { if (!this.isValid) return false; const inputMs = otherDateTime.valueOf(); const adjustedToZone = this.setZone(otherDateTime.zone, { keepLocalTime: true }); return adjustedToZone.startOf(unit) <= inputMs && inputMs <= adjustedToZone.endOf(unit); } equals(other) { return this.isValid && other.isValid && this.valueOf() === other.valueOf() && this.zone.equals(other.zone) && this.loc.equals(other.loc); } toRelative(options = {}) { if (!this.isValid) return null; const base = options.base || DateTime.fromObject({}, { zone: this.zone }), padding = options.padding ? this < base ? -options.padding : options.padding : 0; let units = ["years", "months", "days", "hours", "minutes", "seconds"]; let unit = options.unit; if (Array.isArray(options.unit)) { units = options.unit; unit = void 0; } return diffRelative(base, this.plus(padding), __spreadProps(__spreadValues({}, options), { numeric: "always", units, unit })); } toRelativeCalendar(options = {}) { if (!this.isValid) return null; return diffRelative(options.base || DateTime.fromObject({}, { zone: this.zone }), this, __spreadProps(__spreadValues({}, options), { numeric: "auto", units: ["years", "months", "days"], calendary: true })); } static min(...dateTimes) { if (!dateTimes.every(DateTime.isDateTime)) { throw new InvalidArgumentError("min requires all arguments be DateTimes"); } return bestBy(dateTimes, (i) => i.valueOf(), Math.min); } static max(...dateTimes) { if (!dateTimes.every(DateTime.isDateTime)) { throw new InvalidArgumentError("max requires all arguments be DateTimes"); } return bestBy(dateTimes, (i) => i.valueOf(), Math.max); } static fromFormatExplain(text, fmt, options = {}) { const { locale = null, numberingSystem = null } = options, localeToUse = Locale.fromOpts({ locale, numberingSystem, defaultToEN: true }); return explainFromTokens(localeToUse, text, fmt); } static fromStringExplain(text, fmt, options = {}) { return DateTime.fromFormatExplain(text, fmt, options); } static get DATE_SHORT() { return DATE_SHORT; } static get DATE_MED() { return DATE_MED; } static get DATE_MED_WITH_WEEKDAY() { return DATE_MED_WITH_WEEKDAY; } static get DATE_FULL() { return DATE_FULL; } static get DATE_HUGE() { return DATE_HUGE; } static get TIME_SIMPLE() { return TIME_SIMPLE; } static get TIME_WITH_SECONDS() { return TIME_WITH_SECONDS; } static get TIME_WITH_SHORT_OFFSET() { return TIME_WITH_SHORT_OFFSET; } static get TIME_WITH_LONG_OFFSET() { return TIME_WITH_LONG_OFFSET; } static get TIME_24_SIMPLE() { return TIME_24_SIMPLE; } static get TIME_24_WITH_SECONDS() { return TIME_24_WITH_SECONDS; } static get TIME_24_WITH_SHORT_OFFSET() { return TIME_24_WITH_SHORT_OFFSET; } static get TIME_24_WITH_LONG_OFFSET() { return TIME_24_WITH_LONG_OFFSET; } static get DATETIME_SHORT() { return DATETIME_SHORT; } static get DATETIME_SHORT_WITH_SECONDS() { return DATETIME_SHORT_WITH_SECONDS; } static get DATETIME_MED() { return DATETIME_MED; } static get DATETIME_MED_WITH_SECONDS() { return DATETIME_MED_WITH_SECONDS; } static get DATETIME_MED_WITH_WEEKDAY() { return DATETIME_MED_WITH_WEEKDAY; } static get DATETIME_FULL() { return DATETIME_FULL; } static get DATETIME_FULL_WITH_SECONDS() { return DATETIME_FULL_WITH_SECONDS; } static get DATETIME_HUGE() { return DATETIME_HUGE; } static get DATETIME_HUGE_WITH_SECONDS() { return DATETIME_HUGE_WITH_SECONDS; } }; function friendlyDateTime(dateTimeish) { if (DateTime.isDateTime(dateTimeish)) { return dateTimeish; } else if (dateTimeish && dateTimeish.valueOf && isNumber(dateTimeish.valueOf())) { return DateTime.fromJSDate(dateTimeish); } else if (dateTimeish && typeof dateTimeish === "object") { return DateTime.fromObject(dateTimeish); } else { throw new InvalidArgumentError(`Unknown datetime argument: ${dateTimeish}, of type ${typeof dateTimeish}`); } } var DEFAULT_QUERY_SETTINGS = { renderNullAs: "\\-", taskCompletionTracking: false, taskCompletionUseEmojiShorthand: false, taskCompletionText: "completion", taskCompletionDateFormat: "yyyy-MM-dd", recursiveSubTaskCompletion: false, warnOnEmptyResult: true, refreshEnabled: true, refreshInterval: 2500, defaultDateFormat: "MMMM dd, yyyy", defaultDateTimeFormat: "h:mm a - MMMM dd, yyyy", maxRecursiveRenderDepth: 4, tableIdColumnName: "File", tableGroupColumnName: "Group", showResultCount: true }; 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function(n4, t3) { if (function() { if (e._supportsSet !== void 0) return e._supportsSet; var n5 = typeof Set != "undefined"; return e._supportsSet = n5, n5; }() && Array.from) { for (var r3 = new Set(n4), u2 = 0; u2 < t3.length; u2++) r3.add(t3[u2]); var o2 = Array.from(r3); return o2.sort(), o2; } for (var i2 = {}, a2 = 0; a2 < n4.length; a2++) i2[n4[a2]] = true; for (var f2 = 0; f2 < t3.length; f2++) i2[t3[f2]] = true; var c2 = []; for (var s3 in i2) ({}).hasOwnProperty.call(i2, s3) && c2.push(s3); return c2.sort(), c2; }(n3.expected, t2.expected) : t2.expected; return { status: n3.status, index: n3.index, value: n3.value, furthest: t2.furthest, expected: r2 }; } var j = {}; function S(n3, t2) { if (w(n3)) return { offset: t2, line: -1, column: -1 }; n3 in j || (j[n3] = {}); for (var r2 = j[n3], e2 = 0, u2 = 0, o2 = 0, i2 = t2; i2 >= 0; ) { if (i2 in r2) { e2 = r2[i2].line, o2 === 0 && (o2 = r2[i2].lineStart); break; } (n3.charAt(i2) === "\n" || n3.charAt(i2) === "\r" && n3.charAt(i2 + 1) !== "\n") && (u2++, o2 === 0 && (o2 = i2 + 1)), i2--; } var a2 = e2 + u2, f2 = t2 - o2; return r2[t2] = { line: a2, lineStart: o2 }, { offset: t2, line: a2 + 1, column: f2 + 1 }; } function _(n3) { if (!y(n3)) throw new Error("not a parser: " + n3); } function L(n3, t2) { return typeof n3 == "string" ? n3.charAt(t2) : n3[t2]; } function O(n3) { if (typeof n3 != "number") throw new Error("not a number: " + n3); } function k(n3) { if (typeof n3 != "function") throw new Error("not a function: " + n3); } function P(n3) { if (typeof n3 != "string") throw new Error("not a string: " + n3); } var q = 2, A = 3, I = 8, F = 5 * I, M = 4 * I, z = " "; function R(n3, t2) { return new Array(t2 + 1).join(n3); } function U(n3, t2, r2) { var e2 = t2 - n3.length; return e2 <= 0 ? n3 : R(r2, e2) + n3; } function W(n3, t2, r2, e2) { return { from: n3 - t2 > 0 ? n3 - t2 : 0, to: n3 + r2 > e2 ? e2 : n3 + r2 }; } function D(n3, t2) { var r2, e2, u2, o2, f2, c2 = t2.index, s3 = c2.offset, l3 = 1; if (s3 === n3.length) return "Got the end of the input"; if (w(n3)) { var h2 = s3 - s3 % I, p2 = s3 - h2, d2 = W(h2, F, M + I, n3.length), v2 = a(function(n4) { return a(function(n5) { return U(n5.toString(16), 2, "0"); }, n4); }, function(n4, t3) { var r3 = n4.length, e3 = [], u3 = 0; if (r3 <= t3) return [n4.slice()]; for (var o3 = 0; o3 < r3; o3++) e3[u3] || e3.push([]), e3[u3].push(n4[o3]), (o3 + 1) % t3 == 0 && u3++; return e3; }(n3.slice(d2.from, d2.to).toJSON().data, I)); o2 = function(n4) { return n4.from === 0 && n4.to === 1 ? { from: n4.from, to: n4.to } : { from: n4.from / I, to: Math.floor(n4.to / I) }; }(d2), e2 = h2 / I, r2 = 3 * p2, p2 >= 4 && (r2 += 1), l3 = 2, u2 = a(function(n4) { return n4.length <= 4 ? n4.join(" ") : n4.slice(0, 4).join(" ") + " " + n4.slice(4).join(" "); }, v2), (f2 = (8 * (o2.to > 0 ? o2.to - 1 : o2.to)).toString(16).length) < 2 && (f2 = 2); } else { var g2 = n3.split(/\r\n|[\n\r\u2028\u2029]/); r2 = c2.column - 1, e2 = c2.line - 1, o2 = W(e2, q, A, g2.length), u2 = g2.slice(o2.from, o2.to), f2 = o2.to.toString().length; } var m2 = e2 - o2.from; return w(n3) && (f2 = (8 * (o2.to > 0 ? o2.to - 1 : o2.to)).toString(16).length) < 2 && (f2 = 2), i(function(t3, e3, u3) { var i2, a2 = u3 === m2, c3 = a2 ? "> " : z; return i2 = w(n3) ? U((8 * (o2.from + u3)).toString(16), f2, "0") : U((o2.from + u3 + 1).toString(), f2, " "), [].concat(t3, [c3 + i2 + " | " + e3], a2 ? [z + R(" ", f2) + " | " + U("", r2, " ") + R("^", l3)] : []); }, [], u2).join("\n"); } function N(n3, t2) { return ["\n", "-- PARSING FAILED " + R("-", 50), "\n\n", D(n3, t2), "\n\n", (r2 = t2.expected, r2.length === 1 ? "Expected:\n\n" + r2[0] : "Expected one of the following: \n\n" + r2.join(", ")), "\n"].join(""); var r2; } function G(n3) { return n3.flags !== void 0 ? n3.flags : [n3.global ? "g" : "", n3.ignoreCase ? "i" : "", n3.multiline ? "m" : "", n3.unicode ? "u" : "", n3.sticky ? "y" : ""].join(""); } function C() { for (var n3 = [].slice.call(arguments), t2 = n3.length, r2 = 0; r2 < t2; r2 += 1) _(n3[r2]); return e(function(r3, e2) { for (var u2, o2 = new Array(t2), i2 = 0; i2 < t2; i2 += 1) { if (!(u2 = B(n3[i2]._(r3, e2), u2)).status) return u2; o2[i2] = u2.value, e2 = u2.index; } return B(b(e2, o2), u2); }); } function J() { var n3 = [].slice.call(arguments); if (n3.length === 0) throw new Error("seqMap needs at least one argument"); var t2 = n3.pop(); return k(t2), C.apply(null, n3).map(function(n4) { return t2.apply(null, n4); }); } function T() { var n3 = [].slice.call(arguments), t2 = n3.length; if (t2 === 0) return Y("zero alternates"); for (var r2 = 0; r2 < t2; r2 += 1) _(n3[r2]); return e(function(t3, r3) { for (var e2, u2 = 0; u2 < n3.length; u2 += 1) if ((e2 = B(n3[u2]._(t3, r3), e2)).status) return e2; return e2; }); } function V(n3, t2) { return H(n3, t2).or(X([])); } function H(n3, t2) { return _(n3), _(t2), J(n3, t2.then(n3).many(), function(n4, t3) { return [n4].concat(t3); }); } function K(n3) { P(n3); var t2 = "'" + n3 + "'"; return e(function(r2, e2) { var u2 = e2 + n3.length, o2 = r2.slice(e2, u2); return o2 === n3 ? b(u2, o2) : x(e2, t2); }); } function Q(n3, t2) { !function(n4) { if (!(n4 instanceof RegExp)) throw new Error("not a regexp: " + n4); for (var t3 = G(n4), r3 = 0; r3 < t3.length; r3++) { var e2 = t3.charAt(r3); if (e2 !== "i" && e2 !== "m" && e2 !== "u" && e2 !== "s") throw new Error('unsupported regexp flag "' + e2 + '": ' + n4); } }(n3), arguments.length >= 2 ? O(t2) : t2 = 0; var r2 = function(n4) { return RegExp("^(?:" + n4.source + ")", G(n4)); }(n3), u2 = "" + n3; return e(function(n4, e2) { var o2 = r2.exec(n4.slice(e2)); if (o2) { if (0 <= t2 && t2 <= o2.length) { var i2 = o2[0], a2 = o2[t2]; return b(e2 + i2.length, a2); } return x(e2, "valid match group (0 to " + o2.length + ") in " + u2); } return x(e2, u2); }); } function X(n3) { return e(function(t2, r2) { return b(r2, n3); }); } function Y(n3) { return e(function(t2, r2) { return x(r2, n3); }); } function Z(n3) { if (y(n3)) return e(function(t2, r2) { var e2 = n3._(t2, r2); return e2.index = r2, e2.value = "", e2; }); if (typeof n3 == "string") return Z(K(n3)); if (n3 instanceof RegExp) return Z(Q(n3)); throw new Error("not a string, regexp, or parser: " + n3); } function $(n3) { return _(n3), e(function(t2, r2) { var e2 = n3._(t2, r2), u2 = t2.slice(r2, e2.index); return e2.status ? x(r2, 'not "' + u2 + '"') : b(r2, null); }); } function nn(n3) { return k(n3), e(function(t2, r2) { var e2 = L(t2, r2); return r2 < t2.length && n3(e2) ? b(r2 + 1, e2) : x(r2, "a character/byte matching " + n3); }); } function tn(n3, t2) { arguments.length < 2 && (t2 = n3, n3 = void 0); var r2 = e(function(n4, e2) { return r2._ = t2()._, r2._(n4, e2); }); return n3 ? r2.desc(n3) : r2; } function rn() { return Y("fantasy-land/empty"); } u.parse = function(n3) { if (typeof n3 != "string" && !w(n3)) throw new Error(".parse must be called with a string or Buffer as its argument"); var t2, r2 = this.skip(an)._(n3, 0); return t2 = r2.status ? { status: true, value: r2.value } : { status: false, index: S(n3, r2.furthest), expected: r2.expected }, delete j[n3], t2; }, u.tryParse = function(n3) { var t2 = this.parse(n3); if (t2.status) return t2.value; var r2 = N(n3, t2), e2 = new Error(r2); throw e2.type = "ParsimmonError", e2.result = t2, e2; }, u.assert = function(n3, t2) { return this.chain(function(r2) { return n3(r2) ? X(r2) : Y(t2); }); }, u.or = function(n3) { return T(this, n3); }, u.trim = function(n3) { return this.wrap(n3, n3); }, u.wrap = function(n3, t2) { return J(n3, this, t2, function(n4, t3) { return t3; }); }, u.thru = function(n3) { return n3(this); }, u.then = function(n3) { return _(n3), C(this, n3).map(function(n4) { return n4[1]; }); }, u.many = function() { var n3 = this; return e(function(t2, r2) { for (var e2 = [], u2 = void 0; ; ) { if (!(u2 = B(n3._(t2, r2), u2)).status) return B(b(r2, e2), u2); if (r2 === u2.index) throw new Error("infinite loop detected in .many() parser --- calling .many() on a parser which can accept zero characters is usually the cause"); r2 = u2.index, e2.push(u2.value); } }); }, u.tieWith = function(n3) { return P(n3), this.map(function(t2) { if (function(n4) { if (!E(n4)) throw new Error("not an array: " + n4); }(t2), t2.length) { P(t2[0]); for (var r2 = t2[0], e2 = 1; e2 < t2.length; e2++) P(t2[e2]), r2 += n3 + t2[e2]; return r2; } return ""; }); }, u.tie = function() { return this.tieWith(""); }, u.times = function(n3, t2) { var r2 = this; return arguments.length < 2 && (t2 = n3), O(n3), O(t2), e(function(e2, u2) { for (var o2 = [], i2 = void 0, a2 = void 0, f2 = 0; f2 < n3; f2 += 1) { if (a2 = B(i2 = r2._(e2, u2), a2), !i2.status) return a2; u2 = i2.index, o2.push(i2.value); } for (; f2 < t2 && (a2 = B(i2 = r2._(e2, u2), a2), i2.status); f2 += 1) u2 = i2.index, o2.push(i2.value); return B(b(u2, o2), a2); }); }, u.result = function(n3) { return this.map(function() { return n3; }); }, u.atMost = function(n3) { return this.times(0, n3); }, u.atLeast = function(n3) { return J(this.times(n3), this.many(), function(n4, t2) { return n4.concat(t2); }); }, u.map = function(n3) { k(n3); var t2 = this; return e(function(r2, e2) { var u2 = t2._(r2, e2); return u2.status ? B(b(u2.index, n3(u2.value)), u2) : u2; }); }, u.contramap = function(n3) { k(n3); var t2 = this; return e(function(r2, e2) { var u2 = t2.parse(n3(r2.slice(e2))); return u2.status ? b(e2 + r2.length, u2.value) : u2; }); }, u.promap = function(n3, t2) { return k(n3), k(t2), this.contramap(n3).map(t2); }, u.skip = function(n3) { return C(this, n3).map(function(n4) { return n4[0]; }); }, u.mark = function() { return J(en, this, en, function(n3, t2, r2) { return { start: n3, value: t2, end: r2 }; }); }, u.node = function(n3) { return J(en, this, en, function(t2, r2, e2) { return { name: n3, value: r2, start: t2, end: e2 }; }); }, u.sepBy = function(n3) { return V(this, n3); }, u.sepBy1 = function(n3) { return H(this, n3); }, u.lookahead = function(n3) { return this.skip(Z(n3)); }, u.notFollowedBy = function(n3) { return this.skip($(n3)); }, u.desc = function(n3) { E(n3) || (n3 = [n3]); var t2 = this; return e(function(r2, e2) { var u2 = t2._(r2, e2); return u2.status || (u2.expected = n3), u2; }); }, u.fallback = function(n3) { return this.or(X(n3)); }, u.ap = function(n3) { return J(n3, this, function(n4, t2) { return n4(t2); }); }, u.chain = function(n3) { var t2 = this; return e(function(r2, e2) { var u2 = t2._(r2, e2); return u2.status ? B(n3(u2.value)._(r2, u2.index), u2) : u2; }); }, u.concat = u.or, u.empty = rn, u.of = X, u["fantasy-land/ap"] = u.ap, u["fantasy-land/chain"] = u.chain, u["fantasy-land/concat"] = u.concat, u["fantasy-land/empty"] = u.empty, u["fantasy-land/of"] = u.of, u["fantasy-land/map"] = u.map; var en = e(function(n3, t2) { return b(t2, S(n3, t2)); }), un = e(function(n3, t2) { return t2 >= n3.length ? x(t2, "any character/byte") : b(t2 + 1, L(n3, t2)); }), on = e(function(n3, t2) { return b(n3.length, n3.slice(t2)); }), an = e(function(n3, t2) { return t2 < n3.length ? x(t2, "EOF") : b(t2, null); }), fn2 = Q(/[0-9]/).desc("a digit"), cn = Q(/[0-9]*/).desc("optional digits"), sn = Q(/[a-z]/i).desc("a letter"), ln = Q(/[a-z]*/i).desc("optional letters"), hn = Q(/\s*/).desc("optional whitespace"), pn = Q(/\s+/).desc("whitespace"), dn = K("\r"), vn = K("\n"), gn = K("\r\n"), mn = T(gn, vn, dn).desc("newline"), yn = T(mn, an); e.all = on, e.alt = T, e.any = un, e.cr = dn, e.createLanguage = function(n3) { var t2 = {}; for (var r2 in n3) ({}).hasOwnProperty.call(n3, r2) && function(r3) { t2[r3] = tn(function() { return n3[r3](t2); }); }(r2); return t2; }, e.crlf = gn, e.custom = function(n3) { return e(n3(b, x)); }, e.digit = fn2, e.digits = cn, e.empty = rn, e.end = yn, e.eof = an, e.fail = Y, e.formatError = N, e.index = en, e.isParser = y, e.lazy = tn, e.letter = sn, e.letters = ln, e.lf = vn, e.lookahead = Z, e.makeFailure = x, e.makeSuccess = b, e.newline = mn, e.noneOf = function(n3) { return nn(function(t2) { return n3.indexOf(t2) < 0; }).desc("none of '" + n3 + "'"); }, e.notFollowedBy = $, e.of = X, e.oneOf = function(n3) { for (var t2 = n3.split(""), r2 = 0; r2 < t2.length; r2++) t2[r2] = "'" + t2[r2] + "'"; return nn(function(t3) { return n3.indexOf(t3) >= 0; }).desc(t2); }, e.optWhitespace = hn, e.Parser = e, e.range = function(n3, t2) { return nn(function(r2) { return n3 <= r2 && r2 <= t2; }).desc(n3 + "-" + t2); }, e.regex = Q, e.regexp = Q, e.sepBy = V, e.sepBy1 = H, e.seq = C, e.seqMap = J, e.seqObj = function() { for (var n3, t2 = {}, r2 = 0, u2 = (n3 = arguments, Array.prototype.slice.call(n3)), o2 = u2.length, i2 = 0; i2 < o2; i2 += 1) { var a2 = u2[i2]; if (!y(a2)) { if (E(a2) && a2.length === 2 && typeof a2[0] == "string" && y(a2[1])) { var f2 = a2[0]; if (Object.prototype.hasOwnProperty.call(t2, f2)) throw new Error("seqObj: duplicate key " + f2); t2[f2] = true, r2++; continue; } throw new Error("seqObj arguments must be parsers or [string, parser] array pairs."); } } if (r2 === 0) throw new Error("seqObj expects at least one named parser, found zero"); return e(function(n4, t3) { for (var r3, e2 = {}, i3 = 0; i3 < o2; i3 += 1) { var a3, f3; if (E(u2[i3]) ? (a3 = u2[i3][0], f3 = u2[i3][1]) : (a3 = null, f3 = u2[i3]), !(r3 = B(f3._(n4, t3), r3)).status) return r3; a3 && (e2[a3] = r3.value), t3 = r3.index; } return B(b(t3, e2), r3); }); }, e.string = K, e.succeed = X, e.takeWhile = function(n3) { return k(n3), e(function(t2, r2) { for (var e2 = r2; e2 < t2.length && n3(L(t2, e2)); ) e2++; return b(e2, t2.slice(r2, e2)); }); }, e.test = nn, e.whitespace = pn, e["fantasy-land/empty"] = rn, e["fantasy-land/of"] = X, e.Binary = { bitSeq: l2, bitSeqObj: function(n3) { s2(); var t2 = {}, r2 = 0, e2 = a(function(n4) { if (E(n4)) { var e3 = n4; if (e3.length !== 2) throw new Error("[" + e3.join(", ") + "] should be length 2, got length " + e3.length); if (P(e3[0]), O(e3[1]), Object.prototype.hasOwnProperty.call(t2, e3[0])) throw new Error("duplicate key in bitSeqObj: " + e3[0]); return t2[e3[0]] = true, r2++, e3; } return O(n4), [null, n4]; }, n3); if (r2 < 1) throw new Error("bitSeqObj expects at least one named pair, got [" + n3.join(", ") + "]"); var u2 = a(function(n4) { return n4[0]; }, e2); return l2(a(function(n4) { return n4[1]; }, e2)).map(function(n4) { return i(function(n5, t3) { return t3[0] !== null && (n5[t3[0]] = t3[1]), n5; }, {}, a(function(t3, r3) { return [t3, n4[r3]]; }, u2)); }); }, byte: function(n3) { if (s2(), O(n3), n3 > 255) throw new Error("Value specified to byte constructor (" + n3 + "=0x" + n3.toString(16) + ") is larger in value than a single byte."); var t2 = (n3 > 15 ? "0x" : "0x0") + n3.toString(16); return e(function(r2, e2) { var u2 = L(r2, e2); return u2 === n3 ? b(e2 + 1, u2) : x(e2, t2); }); }, buffer: function(n3) { return h("buffer", n3).map(function(n4) { return Buffer.from(n4); }); }, encodedString: function(n3, t2) { return h("string", t2).map(function(t3) { return t3.toString(n3); }); }, uintBE: d, uint8BE: d(1), uint16BE: d(2), uint32BE: d(4), uintLE: v, uint8LE: v(1), uint16LE: v(2), uint32LE: v(4), intBE: g, int8BE: g(1), int16BE: g(2), int32BE: g(4), intLE: m, int8LE: m(1), int16LE: m(2), int32LE: m(4), floatBE: h("floatBE", 4).map(function(n3) { return n3.readFloatBE(0); }), floatLE: h("floatLE", 4).map(function(n3) { return n3.readFloatLE(0); }), doubleBE: h("doubleBE", 8).map(function(n3) { return n3.readDoubleBE(0); }), doubleLE: h("doubleLE", 8).map(function(n3) { return n3.readDoubleLE(0); }) }, n2.exports = e; }]); }); })(parsimmon_umd_min, parsimmon_umd_min.exports); var parsimmon_umd_minExports = parsimmon_umd_min.exports; var emojiRegex = () => { return 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3E\uDDD1\uD83C[\uDFFB-\uDFFF])))?|\uDFFC(?:\u200D(?:[\u2695\u2696\u2708]\uFE0F?|\u2764\uFE0F?\u200D(?:\uD83D\uDC8B\u200D)?\uD83E\uDDD1\uD83C[\uDFFB\uDFFD-\uDFFF]|\uD83C[\uDF3E\uDF73\uDF7C\uDF84\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E(?:[\uDDAF-\uDDB3\uDDBC\uDDBD]|\uDD1D\u200D\uD83E\uDDD1\uD83C[\uDFFB-\uDFFF])))?|\uDFFD(?:\u200D(?:[\u2695\u2696\u2708]\uFE0F?|\u2764\uFE0F?\u200D(?:\uD83D\uDC8B\u200D)?\uD83E\uDDD1\uD83C[\uDFFB\uDFFC\uDFFE\uDFFF]|\uD83C[\uDF3E\uDF73\uDF7C\uDF84\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E(?:[\uDDAF-\uDDB3\uDDBC\uDDBD]|\uDD1D\u200D\uD83E\uDDD1\uD83C[\uDFFB-\uDFFF])))?|\uDFFE(?:\u200D(?:[\u2695\u2696\u2708]\uFE0F?|\u2764\uFE0F?\u200D(?:\uD83D\uDC8B\u200D)?\uD83E\uDDD1\uD83C[\uDFFB-\uDFFD\uDFFF]|\uD83C[\uDF3E\uDF73\uDF7C\uDF84\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E(?:[\uDDAF-\uDDB3\uDDBC\uDDBD]|\uDD1D\u200D\uD83E\uDDD1\uD83C[\uDFFB-\uDFFF])))?|\uDFFF(?:\u200D(?:[\u2695\u2696\u2708]\uFE0F?|\u2764\uFE0F?\u200D(?:\uD83D\uDC8B\u200D)?\uD83E\uDDD1\uD83C[\uDFFB-\uDFFE]|\uD83C[\uDF3E\uDF73\uDF7C\uDF84\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E(?:[\uDDAF-\uDDB3\uDDBC\uDDBD]|\uDD1D\u200D\uD83E\uDDD1\uD83C[\uDFFB-\uDFFF])))?))?|\uDEF1(?:\uD83C(?:\uDFFB(?:\u200D\uD83E\uDEF2\uD83C[\uDFFC-\uDFFF])?|\uDFFC(?:\u200D\uD83E\uDEF2\uD83C[\uDFFB\uDFFD-\uDFFF])?|\uDFFD(?:\u200D\uD83E\uDEF2\uD83C[\uDFFB\uDFFC\uDFFE\uDFFF])?|\uDFFE(?:\u200D\uD83E\uDEF2\uD83C[\uDFFB-\uDFFD\uDFFF])?|\uDFFF(?:\u200D\uD83E\uDEF2\uD83C[\uDFFB-\uDFFE])?))?)/g; }; function normalizeDuration(dur) { if (dur === void 0 || dur === null) return dur; return dur.shiftToAll().normalize(); } function getFileTitle(path2) { if (path2.includes("/")) path2 = path2.substring(path2.lastIndexOf("/") + 1); if (path2.endsWith(".md")) path2 = path2.substring(0, path2.length - 3); return path2; } parsimmon_umd_minExports.alt(parsimmon_umd_minExports.regex(new RegExp(emojiRegex(), "")), parsimmon_umd_minExports.regex(/[0-9\p{Letter}_-]+/u).map((str) => str.toLocaleLowerCase()), parsimmon_umd_minExports.whitespace.map((_) => "-"), parsimmon_umd_minExports.any.map((_) => "")).many().map((result) => result.join("")); var HEADER_CANONICALIZER = parsimmon_umd_minExports.alt(parsimmon_umd_minExports.regex(new RegExp(emojiRegex(), "")), parsimmon_umd_minExports.regex(/[0-9\p{Letter}_-]+/u), parsimmon_umd_minExports.whitespace.map((_) => " "), parsimmon_umd_minExports.any.map((_) => " ")).many().map((result) => { return result.join("").split(/\s+/).join(" ").trim(); }); function normalizeHeaderForLink(header) { return HEADER_CANONICALIZER.tryParse(header); } function renderMinimalDuration(dur) { dur = normalizeDuration(dur); dur = Duration.fromObject(Object.fromEntries(Object.entries(dur.toObject()).filter(([, quantity]) => quantity != 0))); return dur.toHuman(); } var Values; (function(Values2) { function toString(field, setting = DEFAULT_QUERY_SETTINGS, recursive = false) { let wrapped = wrapValue(field); if (!wrapped) return setting.renderNullAs; switch (wrapped.type) { case "null": return setting.renderNullAs; case "string": return wrapped.value; case "number": case "boolean": return "" + wrapped.value; case "html": return wrapped.value.outerHTML; case "widget": return wrapped.value.markdown(); case "link": return wrapped.value.markdown(); case "function": return ""; case "array": let result = ""; if (recursive) result += "["; result += wrapped.value.map((f) => toString(f, setting, true)).join(", "); if (recursive) result += "]"; return result; case "object": return "{ " + Object.entries(wrapped.value).map((e) => e[0] + ": " + toString(e[1], setting, true)).join(", ") + " }"; case "date": if (wrapped.value.second == 0 && wrapped.value.hour == 0 && wrapped.value.minute == 0) { return wrapped.value.toFormat(setting.defaultDateFormat); } return wrapped.value.toFormat(setting.defaultDateTimeFormat); case "duration": return renderMinimalDuration(wrapped.value); } } Values2.toString = toString; function wrapValue(val) { if (isNull(val)) return { type: "null", value: val }; else if (isNumber2(val)) return { type: "number", value: val }; else if (isString2(val)) return { type: "string", value: val }; else if (isBoolean(val)) return { type: "boolean", value: val }; else if (isDuration(val)) return { type: "duration", value: val }; else if (isDate2(val)) return { type: "date", value: val }; else if (isWidget(val)) return { type: "widget", value: val }; else if (isArray(val)) return { type: "array", value: val }; else if (isLink(val)) return { type: "link", value: val }; else if (isFunction(val)) return { type: "function", value: val }; else if (isHtml(val)) return { type: "html", value: val }; else if (isObject(val)) return { type: "object", value: val }; else return void 0; } Values2.wrapValue = wrapValue; function mapLeaves(val, func) { if (isObject(val)) { let result = {}; for (let [key, value] of Object.entries(val)) result[key] = mapLeaves(value, func); return result; } else if (isArray(val)) { let result = []; for (let value of val) result.push(mapLeaves(value, func)); return result; } else { return func(val); } } Values2.mapLeaves = mapLeaves; function compareValue(val1, val2, linkNormalizer) { var _a, _b; if (val1 === void 0) val1 = null; if (val2 === void 0) val2 = null; if (val1 === null && val2 === null) return 0; else if (val1 === null) return -1; else if (val2 === null) return 1; let wrap1 = wrapValue(val1); let wrap2 = wrapValue(val2); if (wrap1 === void 0 && wrap2 === void 0) return 0; else if (wrap1 === void 0) return -1; else if (wrap2 === void 0) return 1; if (wrap1.type != wrap2.type) return wrap1.type.localeCompare(wrap2.type); if (wrap1.value === wrap2.value) return 0; switch (wrap1.type) { case "string": return wrap1.value.localeCompare(wrap2.value); case "number": if (wrap1.value < wrap2.value) return -1; else if (wrap1.value == wrap2.value) return 0; return 1; case "null": return 0; case "boolean": if (wrap1.value == wrap2.value) return 0; else return wrap1.value ? 1 : -1; case "link": let link1 = wrap1.value; let link2 = wrap2.value; let normalize = linkNormalizer != null ? linkNormalizer : (x) => x; let pathCompare = normalize(link1.path).localeCompare(normalize(link2.path)); if (pathCompare != 0) return pathCompare; let typeCompare = link1.type.localeCompare(link2.type); if (typeCompare != 0) return typeCompare; if (link1.subpath && !link2.subpath) return 1; if (!link1.subpath && link2.subpath) return -1; if (!link1.subpath && !link2.subpath) return 0; return ((_a = link1.subpath) != null ? _a : "").localeCompare((_b = link2.subpath) != null ? _b : ""); case "date": return wrap1.value < wrap2.value ? -1 : wrap1.value.equals(wrap2.value) ? 0 : 1; case "duration": return wrap1.value < wrap2.value ? -1 : wrap1.value.equals(wrap2.value) ? 0 : 1; case "array": let f1 = wrap1.value; let f2 = wrap2.value; for (let index = 0; index < Math.min(f1.length, f2.length); index++) { let comp = compareValue(f1[index], f2[index]); if (comp != 0) return comp; } return f1.length - f2.length; case "object": let o1 = wrap1.value; let o2 = wrap2.value; let k1 = Array.from(Object.keys(o1)); let k2 = Array.from(Object.keys(o2)); k1.sort(); k2.sort(); let keyCompare = compareValue(k1, k2); if (keyCompare != 0) return keyCompare; for (let key of k1) { let comp = compareValue(o1[key], o2[key]); if (comp != 0) return comp; } return 0; case "widget": case "html": case "function": return 0; } } Values2.compareValue = compareValue; function typeOf(val) { var _a; return (_a = wrapValue(val)) == null ? void 0 : _a.type; } Values2.typeOf = typeOf; function isTruthy(field) { let wrapped = wrapValue(field); if (!wrapped) return false; switch (wrapped.type) { case "number": return wrapped.value != 0; case "string": return wrapped.value.length > 0; case "boolean": return wrapped.value; case "link": return !!wrapped.value.path; case "date": return wrapped.value.toMillis() != 0; case "duration": return wrapped.value.as("seconds") != 0; case "object": return Object.keys(wrapped.value).length > 0; case "array": return wrapped.value.length > 0; case "null": return false; case "html": case "widget": case "function": return true; } } Values2.isTruthy = isTruthy; function deepCopy(field) { if (field === null || field === void 0) return field; if (Values2.isArray(field)) { return [].concat(field.map((v) => deepCopy(v))); } else if (Values2.isObject(field)) { let result = {}; for (let [key, value] of Object.entries(field)) result[key] = deepCopy(value); return result; } else { return field; } } Values2.deepCopy = deepCopy; function isString2(val) { return typeof val == "string"; } Values2.isString = isString2; function isNumber2(val) { return typeof val == "number"; } Values2.isNumber = isNumber2; function isDate2(val) { return val instanceof DateTime; } Values2.isDate = isDate2; function isDuration(val) { return val instanceof Duration; } Values2.isDuration = isDuration; function isNull(val) { return val === null || val === void 0; } Values2.isNull = isNull; function isArray(val) { return Array.isArray(val); } Values2.isArray = isArray; function isBoolean(val) { return typeof val === "boolean"; } Values2.isBoolean = isBoolean; function isLink(val) { return val instanceof Link; } Values2.isLink = isLink; function isWidget(val) { return val instanceof Widget; } Values2.isWidget = isWidget; function isHtml(val) { if (typeof HTMLElement !== "undefined") { return val instanceof HTMLElement; } else { return false; } } Values2.isHtml = isHtml; function isObject(val) { return typeof val == "object" && !isHtml(val) && !isWidget(val) && !isArray(val) && !isDuration(val) && !isDate2(val) && !isLink(val) && val !== void 0 && !isNull(val); } Values2.isObject = isObject; function isFunction(val) { return typeof val == "function"; } Values2.isFunction = isFunction; })(Values || (Values = {})); var Groupings; (function(Groupings2) { function isElementGroup(entry) { return Values.isObject(entry) && Object.keys(entry).length == 2 && "key" in entry && "rows" in entry; } Groupings2.isElementGroup = isElementGroup; function isGrouping(entry) { for (let element of entry) if (!isElementGroup(element)) return false; return true; } Groupings2.isGrouping = isGrouping; function count(elements) { if (isGrouping(elements)) { let result = 0; for (let subgroup of elements) result += count(subgroup.rows); return result; } else { return elements.length; } } Groupings2.count = count; })(Groupings || (Groupings = {})); var Link = class { constructor(fields) { __publicField(this, "path"); __publicField(this, "display"); __publicField(this, "subpath"); __publicField(this, "embed"); __publicField(this, "type"); Object.assign(this, fields); } static file(path2, embed = false, display) { return new Link({ path: path2, embed, display, subpath: void 0, type: "file" }); } static infer(linkpath, embed = false, display) { if (linkpath.includes("#^")) { let split = linkpath.split("#^"); return Link.block(split[0], split[1], embed, display); } else if (linkpath.includes("#")) { let split = linkpath.split("#"); return Link.header(split[0], split[1], embed, display); } else return Link.file(linkpath, embed, display); } static header(path2, header, embed, display) { return new Link({ path: path2, embed, display, subpath: normalizeHeaderForLink(header), type: "header" }); } static block(path2, blockId, embed, display) { return new Link({ path: path2, embed, display, subpath: blockId, type: "block" }); } static fromObject(object) { return new Link(object); } equals(other) { if (other == void 0 || other == null) return false; return this.path == other.path && this.type == other.type && this.subpath == other.subpath; } toString() { return this.markdown(); } toObject() { return { path: this.path, type: this.type, subpath: this.subpath, display: this.display, embed: this.embed }; } withPath(path2) { return new Link(Object.assign({}, this, { path: path2 })); } withDisplay(display) { return new Link(Object.assign({}, this, { display })); } withHeader(header) { return Link.header(this.path, header, this.embed, this.display); } toFile() { return Link.file(this.path, this.embed, this.display); } toEmbed() { if (this.embed) { return this; } else { let link = new Link(this); link.embed = true; return link; } } fromEmbed() { if (!this.embed) { return this; } else { let link = new Link(this); link.embed = false; return link; } } markdown() { let result = (this.embed ? "!" : "") + "[[" + this.obsidianLink(); if (this.display) { result += "|" + this.display; } else { result += "|" + getFileTitle(this.path); if (this.type == "header" || this.type == "block") result += " > " + this.subpath; } result += "]]"; return result; } obsidianLink() { var _a, _b; const escaped = this.path.replaceAll("|", "\\|"); if (this.type == "header") return escaped + "#" + ((_a = this.subpath) == null ? void 0 : _a.replaceAll("|", "\\|")); if (this.type == "block") return escaped + "#^" + ((_b = this.subpath) == null ? void 0 : _b.replaceAll("|", "\\|")); else return escaped; } fileName() { return getFileTitle(this.path).replace(".md", ""); } }; var Widget = class { constructor($widget) { __publicField(this, "$widget"); this.$widget = $widget; } }; var ListPairWidget = class extends Widget { constructor(key, value) { super("dataview:list-pair"); __publicField(this, "key"); __publicField(this, "value"); this.key = key; this.value = value; } markdown() { return `${Values.toString(this.key)}: ${Values.toString(this.value)}`; } }; var ExternalLinkWidget = class extends Widget { constructor(url, display) { super("dataview:external-link"); __publicField(this, "url"); __publicField(this, "display"); this.url = url; this.display = display; } markdown() { var _a; return `[${(_a = this.display) != null ? _a : this.url}](${this.url})`; } }; var Widgets; (function(Widgets2) { function listPair(key, value) { return new ListPairWidget(key, value); } Widgets2.listPair = listPair; function externalLink(url, display) { return new ExternalLinkWidget(url, display); } Widgets2.externalLink = externalLink; function isListPair(widget) { return widget.$widget === "dataview:list-pair"; } Widgets2.isListPair = isListPair; function isExternalLink(widget) { return widget.$widget === "dataview:external-link"; } Widgets2.isExternalLink = isExternalLink; function isBuiltin(widget) { return isListPair(widget) || isExternalLink(widget); } Widgets2.isBuiltin = isBuiltin; })(Widgets || (Widgets = {})); var Fields; (function(Fields2) { function variable(name) { return { type: "variable", name }; } Fields2.variable = variable; function literal(value) { return { type: "literal", value }; } Fields2.literal = literal; function binaryOp(left, op, right) { return { type: "binaryop", left, op, right }; } Fields2.binaryOp = binaryOp; function index(obj, index2) { return { type: "index", object: obj, index: index2 }; } Fields2.index = index; function indexVariable(name) { let parts = name.split("."); let result = Fields2.variable(parts[0]); for (let index2 = 1; index2 < parts.length; index2++) { result = Fields2.index(result, Fields2.literal(parts[index2])); } return result; } Fields2.indexVariable = indexVariable; function lambda(args2, value) { return { type: "lambda", arguments: args2, value }; } Fields2.lambda = lambda; function func(func2, args2) { return { type: "function", func: func2, arguments: args2 }; } Fields2.func = func; function list(values) { return { type: "list", values }; } Fields2.list = list; function object(values) { return { type: "object", values }; } Fields2.object = object; function negate(child) { return { type: "negated", child }; } Fields2.negate = negate; function isCompareOp(op) { return op == "<=" || op == "<" || op == ">" || op == ">=" || op == "!=" || op == "="; } Fields2.isCompareOp = isCompareOp; Fields2.NULL = Fields2.literal(null); })(Fields || (Fields = {})); var Sources; (function(Sources2) { function tag(tag2) { return { type: "tag", tag: tag2 }; } Sources2.tag = tag; function csv(path2) { return { type: "csv", path: path2 }; } Sources2.csv = csv; function folder(prefix) { return { type: "folder", folder: prefix }; } Sources2.folder = folder; function link(file, incoming) { return { type: "link", file, direction: incoming ? "incoming" : "outgoing" }; } Sources2.link = link; function binaryOp(left, op, right) { return { type: "binaryop", left, op, right }; } Sources2.binaryOp = binaryOp; function and(left, right) { return { type: "binaryop", left, op: "&", right }; } Sources2.and = and; function or(left, right) { return { type: "binaryop", left, op: "|", right }; } Sources2.or = or; function negate(child) { return { type: "negate", child }; } Sources2.negate = negate; function empty() { return { type: "empty" }; } Sources2.empty = empty; })(Sources || (Sources = {})); var EMOJI_REGEX = new RegExp(emojiRegex(), ""); var DURATION_TYPES = { year: Duration.fromObject({ years: 1 }), years: Duration.fromObject({ years: 1 }), yr: Duration.fromObject({ years: 1 }), yrs: Duration.fromObject({ years: 1 }), month: Duration.fromObject({ months: 1 }), months: Duration.fromObject({ months: 1 }), mo: Duration.fromObject({ months: 1 }), mos: Duration.fromObject({ months: 1 }), week: Duration.fromObject({ weeks: 1 }), weeks: Duration.fromObject({ weeks: 1 }), wk: Duration.fromObject({ weeks: 1 }), wks: Duration.fromObject({ weeks: 1 }), w: Duration.fromObject({ weeks: 1 }), day: Duration.fromObject({ days: 1 }), days: Duration.fromObject({ days: 1 }), d: Duration.fromObject({ days: 1 }), hour: Duration.fromObject({ hours: 1 }), hours: Duration.fromObject({ hours: 1 }), hr: Duration.fromObject({ hours: 1 }), hrs: Duration.fromObject({ hours: 1 }), h: Duration.fromObject({ hours: 1 }), minute: Duration.fromObject({ minutes: 1 }), minutes: Duration.fromObject({ minutes: 1 }), min: Duration.fromObject({ minutes: 1 }), mins: Duration.fromObject({ minutes: 1 }), m: Duration.fromObject({ minutes: 1 }), second: Duration.fromObject({ seconds: 1 }), seconds: Duration.fromObject({ seconds: 1 }), sec: Duration.fromObject({ seconds: 1 }), secs: Duration.fromObject({ seconds: 1 }), s: Duration.fromObject({ seconds: 1 }) }; var DATE_SHORTHANDS = { now: () => DateTime.local(), today: () => DateTime.local().startOf("day"), yesterday: () => DateTime.local().startOf("day").minus(Duration.fromObject({ days: 1 })), tomorrow: () => DateTime.local().startOf("day").plus(Duration.fromObject({ days: 1 })), sow: () => DateTime.local().startOf("week"), "start-of-week": () => DateTime.local().startOf("week"), eow: () => DateTime.local().endOf("week"), "end-of-week": () => DateTime.local().endOf("week"), soy: () => DateTime.local().startOf("year"), "start-of-year": () => DateTime.local().startOf("year"), eoy: () => DateTime.local().endOf("year"), "end-of-year": () => DateTime.local().endOf("year"), som: () => DateTime.local().startOf("month"), "start-of-month": () => DateTime.local().startOf("month"), eom: () => DateTime.local().endOf("month"), "end-of-month": () => DateTime.local().endOf("month") }; var KEYWORDS = ["FROM", "WHERE", "LIMIT", "GROUP", "FLATTEN"]; function splitOnUnescapedPipe(link) { let pipe = -1; while ((pipe = link.indexOf("|", pipe + 1)) >= 0) { if (pipe > 0 && link[pipe - 1] == "\\") continue; return [link.substring(0, pipe).replace(/\\\|/g, "|"), link.substring(pipe + 1)]; } return [link.replace(/\\\|/g, "|"), void 0]; } function parseInnerLink(rawlink) { let [link, display] = splitOnUnescapedPipe(rawlink); return Link.infer(link, false, display); } function createBinaryParser(child, sep, combine) { return parsimmon_umd_minExports.seqMap(child, parsimmon_umd_minExports.seq(parsimmon_umd_minExports.optWhitespace, sep, parsimmon_umd_minExports.optWhitespace, child).many(), (first, rest) => { if (rest.length == 0) return first; let node = combine(first, rest[0][1], rest[0][3]); for (let index = 1; index < rest.length; index++) { node = combine(node, rest[index][1], rest[index][3]); } return node; }); } function chainOpt(base, ...funcs) { return parsimmon_umd_minExports.custom((success, failure) => { return (input, i) => { let result = base._(input, i); if (!result.status) return result; for (let func of funcs) { let next = func(result.value)._(input, result.index); if (!next.status) return result; result = next; } return result; }; }); } var EXPRESSION = parsimmon_umd_minExports.createLanguage({ number: (q) => parsimmon_umd_minExports.regexp(/-?[0-9]+(\.[0-9]+)?/).map((str) => Number.parseFloat(str)).desc("number"), string: (q) => parsimmon_umd_minExports.string('"').then(parsimmon_umd_minExports.alt(q.escapeCharacter, parsimmon_umd_minExports.noneOf('"\\')).atLeast(0).map((chars) => chars.join(""))).skip(parsimmon_umd_minExports.string('"')).desc("string"), escapeCharacter: (_) => parsimmon_umd_minExports.string("\\").then(parsimmon_umd_minExports.any).map((escaped) => { if (escaped === '"') return '"'; if (escaped === "\\") return "\\"; else return "\\" + escaped; }), bool: (_) => parsimmon_umd_minExports.regexp(/true|false|True|False/).map((str) => str.toLowerCase() == "true").desc("boolean ('true' or 'false')"), tag: (_) => parsimmon_umd_minExports.seqMap(parsimmon_umd_minExports.string("#"), parsimmon_umd_minExports.alt(parsimmon_umd_minExports.regexp(/[^\u2000-\u206F\u2E00-\u2E7F'!"#$%&()*+,.:;<=>?@^`{|}~\[\]\\\s]/).desc("text")).many(), (start, rest) => start + rest.join("")).desc("tag ('#hello/stuff')"), identifier: (_) => parsimmon_umd_minExports.seqMap(parsimmon_umd_minExports.alt(parsimmon_umd_minExports.regexp(/\p{Letter}/u), parsimmon_umd_minExports.regexp(EMOJI_REGEX).desc("text")), parsimmon_umd_minExports.alt(parsimmon_umd_minExports.regexp(/[0-9\p{Letter}_-]/u), parsimmon_umd_minExports.regexp(EMOJI_REGEX).desc("text")).many(), (first, rest) => first + rest.join("")).desc("variable identifier"), link: (_) => parsimmon_umd_minExports.regexp(/\[\[([^\[\]]*?)\]\]/u, 1).map((linkInner) => parseInnerLink(linkInner)).desc("file link"), embedLink: (q) => parsimmon_umd_minExports.seqMap(parsimmon_umd_minExports.string("!").atMost(1), q.link, (p, l2) => { if (p.length > 0) l2.embed = true; return l2; }).desc("file link"), binaryPlusMinus: (_) => parsimmon_umd_minExports.regexp(/\+|-/).map((str) => str).desc("'+' or '-'"), binaryMulDiv: (_) => parsimmon_umd_minExports.regexp(/\*|\/|%/).map((str) => str).desc("'*' or '/' or '%'"), binaryCompareOp: (_) => parsimmon_umd_minExports.regexp(/>=|<=|!=|>|<|=/).map((str) => str).desc("'>=' or '<=' or '!=' or '=' or '>' or '<'"), binaryBooleanOp: (_) => parsimmon_umd_minExports.regexp(/and|or|&|\|/i).map((str) => { if (str.toLowerCase() == "and") return "&"; else if (str.toLowerCase() == "or") return "|"; else return str; }).desc("'and' or 'or'"), rootDate: (_) => parsimmon_umd_minExports.seqMap(parsimmon_umd_minExports.regexp(/\d{4}/), parsimmon_umd_minExports.string("-"), parsimmon_umd_minExports.regexp(/\d{2}/), (year, _2, month) => { return DateTime.fromObject({ year: Number.parseInt(year), month: Number.parseInt(month) }); }).desc("date in format YYYY-MM[-DDTHH-MM-SS.MS]"), dateShorthand: (_) => parsimmon_umd_minExports.alt(...Object.keys(DATE_SHORTHANDS).sort((a, b) => b.length - a.length).map(parsimmon_umd_minExports.string)), date: (q) => chainOpt(q.rootDate, (ym) => parsimmon_umd_minExports.seqMap(parsimmon_umd_minExports.string("-"), parsimmon_umd_minExports.regexp(/\d{2}/), (_, day) => ym.set({ day: Number.parseInt(day) })), (ymd) => parsimmon_umd_minExports.seqMap(parsimmon_umd_minExports.string("T"), parsimmon_umd_minExports.regexp(/\d{2}/), (_, hour) => ymd.set({ hour: Number.parseInt(hour) })), (ymdh) => parsimmon_umd_minExports.seqMap(parsimmon_umd_minExports.string(":"), parsimmon_umd_minExports.regexp(/\d{2}/), (_, minute) => ymdh.set({ minute: Number.parseInt(minute) })), (ymdhm) => parsimmon_umd_minExports.seqMap(parsimmon_umd_minExports.string(":"), parsimmon_umd_minExports.regexp(/\d{2}/), (_, second) => ymdhm.set({ second: Number.parseInt(second) })), (ymdhms) => parsimmon_umd_minExports.alt(parsimmon_umd_minExports.seqMap(parsimmon_umd_minExports.string("."), parsimmon_umd_minExports.regexp(/\d{3}/), (_, millisecond) => ymdhms.set({ millisecond: Number.parseInt(millisecond) })), parsimmon_umd_minExports.succeed(ymdhms)), (dt) => parsimmon_umd_minExports.alt(parsimmon_umd_minExports.seqMap(parsimmon_umd_minExports.string("+").or(parsimmon_umd_minExports.string("-")), parsimmon_umd_minExports.regexp(/\d{1,2}(:\d{2})?/), (pm, hr) => dt.setZone("UTC" + pm + hr, { keepLocalTime: true })), parsimmon_umd_minExports.seqMap(parsimmon_umd_minExports.string("Z"), () => dt.setZone("utc", { keepLocalTime: true })), parsimmon_umd_minExports.seqMap(parsimmon_umd_minExports.string("["), parsimmon_umd_minExports.regexp(/[0-9A-Za-z+-\/]+/u), parsimmon_umd_minExports.string("]"), (_a, zone, _b) => dt.setZone(zone, { keepLocalTime: true })))).assert((dt) => dt.isValid, "valid date").desc("date in format YYYY-MM[-DDTHH-MM-SS.MS]"), datePlus: (q) => parsimmon_umd_minExports.alt(q.dateShorthand.map((d) => DATE_SHORTHANDS[d]()), q.date).desc("date in format YYYY-MM[-DDTHH-MM-SS.MS] or in shorthand"), durationType: (_) => parsimmon_umd_minExports.alt(...Object.keys(DURATION_TYPES).sort((a, b) => b.length - a.length).map(parsimmon_umd_minExports.string)), duration: (q) => parsimmon_umd_minExports.seqMap(q.number, parsimmon_umd_minExports.optWhitespace, q.durationType, (count, _, t) => DURATION_TYPES[t].mapUnits((x) => x * count)).sepBy1(parsimmon_umd_minExports.string(",").trim(parsimmon_umd_minExports.optWhitespace).or(parsimmon_umd_minExports.optWhitespace)).map((durations) => durations.reduce((p, c) => p.plus(c))).desc("duration like 4hr2min"), rawNull: (_) => parsimmon_umd_minExports.string("null"), tagSource: (q) => q.tag.map((tag) => Sources.tag(tag)), csvSource: (q) => parsimmon_umd_minExports.seqMap(parsimmon_umd_minExports.string("csv(").skip(parsimmon_umd_minExports.optWhitespace), q.string, parsimmon_umd_minExports.string(")"), (_1, path2, _2) => Sources.csv(path2)), linkIncomingSource: (q) => q.link.map((link) => Sources.link(link.path, true)), linkOutgoingSource: (q) => parsimmon_umd_minExports.seqMap(parsimmon_umd_minExports.string("outgoing(").skip(parsimmon_umd_minExports.optWhitespace), q.link, parsimmon_umd_minExports.string(")"), (_1, link, _2) => Sources.link(link.path, false)), folderSource: (q) => q.string.map((str) => Sources.folder(str)), parensSource: (q) => parsimmon_umd_minExports.seqMap(parsimmon_umd_minExports.string("("), parsimmon_umd_minExports.optWhitespace, q.source, parsimmon_umd_minExports.optWhitespace, parsimmon_umd_minExports.string(")"), (_1, _2, field, _3, _4) => field), negateSource: (q) => parsimmon_umd_minExports.seqMap(parsimmon_umd_minExports.alt(parsimmon_umd_minExports.string("-"), parsimmon_umd_minExports.string("!")), q.atomSource, (_, source) => Sources.negate(source)), atomSource: (q) => parsimmon_umd_minExports.alt(q.parensSource, q.negateSource, q.linkOutgoingSource, q.linkIncomingSource, q.folderSource, q.tagSource, q.csvSource), binaryOpSource: (q) => createBinaryParser(q.atomSource, q.binaryBooleanOp.map((s2) => s2), Sources.binaryOp), source: (q) => q.binaryOpSource, variableField: (q) => q.identifier.chain((r) => { if (KEYWORDS.includes(r.toUpperCase())) { return parsimmon_umd_minExports.fail("Variable fields cannot be a keyword (" + KEYWORDS.join(" or ") + ")"); } else { return parsimmon_umd_minExports.succeed(Fields.variable(r)); } }).desc("variable"), numberField: (q) => q.number.map((val) => Fields.literal(val)).desc("number"), stringField: (q) => q.string.map((val) => Fields.literal(val)).desc("string"), boolField: (q) => q.bool.map((val) => Fields.literal(val)).desc("boolean"), dateField: (q) => parsimmon_umd_minExports.seqMap(parsimmon_umd_minExports.string("date("), parsimmon_umd_minExports.optWhitespace, q.datePlus, parsimmon_umd_minExports.optWhitespace, parsimmon_umd_minExports.string(")"), (prefix, _1, date, _2, postfix) => Fields.literal(date)).desc("date"), durationField: (q) => parsimmon_umd_minExports.seqMap(parsimmon_umd_minExports.string("dur("), parsimmon_umd_minExports.optWhitespace, q.duration, parsimmon_umd_minExports.optWhitespace, parsimmon_umd_minExports.string(")"), (prefix, _1, dur, _2, postfix) => Fields.literal(dur)).desc("duration"), nullField: (q) => q.rawNull.map((_) => Fields.NULL), linkField: (q) => q.link.map((f) => Fields.literal(f)), listField: (q) => q.field.sepBy(parsimmon_umd_minExports.string(",").trim(parsimmon_umd_minExports.optWhitespace)).wrap(parsimmon_umd_minExports.string("[").skip(parsimmon_umd_minExports.optWhitespace), parsimmon_umd_minExports.optWhitespace.then(parsimmon_umd_minExports.string("]"))).map((l2) => Fields.list(l2)).desc("list ('[1, 2, 3]')"), objectField: (q) => parsimmon_umd_minExports.seqMap(q.identifier.or(q.string), parsimmon_umd_minExports.string(":").trim(parsimmon_umd_minExports.optWhitespace), q.field, (name, _sep, value) => { return { name, value }; }).sepBy(parsimmon_umd_minExports.string(",").trim(parsimmon_umd_minExports.optWhitespace)).wrap(parsimmon_umd_minExports.string("{").skip(parsimmon_umd_minExports.optWhitespace), parsimmon_umd_minExports.optWhitespace.then(parsimmon_umd_minExports.string("}"))).map((vals) => { let res = {}; for (let entry of vals) res[entry.name] = entry.value; return Fields.object(res); }).desc("object ('{ a: 1, b: 2 }')"), atomInlineField: (q) => parsimmon_umd_minExports.alt(q.date, q.duration.map((d) => normalizeDuration(d)), q.string, q.tag, q.embedLink, q.bool, q.number, q.rawNull), inlineFieldList: (q) => q.atomInlineField.sepBy(parsimmon_umd_minExports.string(",").trim(parsimmon_umd_minExports.optWhitespace).lookahead(q.atomInlineField)), inlineField: (q) => parsimmon_umd_minExports.alt(parsimmon_umd_minExports.seqMap(q.atomInlineField, parsimmon_umd_minExports.string(",").trim(parsimmon_umd_minExports.optWhitespace), q.inlineFieldList, (f, _s, l2) => [f].concat(l2)), q.atomInlineField), atomField: (q) => parsimmon_umd_minExports.alt(q.embedLink.map((l2) => Fields.literal(l2)), q.negatedField, q.linkField, q.listField, q.objectField, q.lambdaField, q.parensField, q.boolField, q.numberField, q.stringField, q.dateField, q.durationField, q.nullField, q.variableField), indexField: (q) => parsimmon_umd_minExports.seqMap(q.atomField, parsimmon_umd_minExports.alt(q.dotPostfix, q.indexPostfix, q.functionPostfix).many(), (obj, postfixes) => { let result = obj; for (let post of postfixes) { switch (post.type) { case "dot": result = Fields.index(result, Fields.literal(post.field)); break; case "index": result = Fields.index(result, post.field); break; case "function": result = Fields.func(result, post.fields); break; } } return result; }), negatedField: (q) => parsimmon_umd_minExports.seqMap(parsimmon_umd_minExports.string("!"), q.indexField, (_, field) => Fields.negate(field)).desc("negated field"), parensField: (q) => parsimmon_umd_minExports.seqMap(parsimmon_umd_minExports.string("("), parsimmon_umd_minExports.optWhitespace, q.field, parsimmon_umd_minExports.optWhitespace, parsimmon_umd_minExports.string(")"), (_1, _2, field, _3, _4) => field), lambdaField: (q) => parsimmon_umd_minExports.seqMap(q.identifier.sepBy(parsimmon_umd_minExports.string(",").trim(parsimmon_umd_minExports.optWhitespace)).wrap(parsimmon_umd_minExports.string("(").trim(parsimmon_umd_minExports.optWhitespace), parsimmon_umd_minExports.string(")").trim(parsimmon_umd_minExports.optWhitespace)), parsimmon_umd_minExports.string("=>").trim(parsimmon_umd_minExports.optWhitespace), q.field, (ident, _ignore, value) => { return { type: "lambda", arguments: ident, value }; }), dotPostfix: (q) => parsimmon_umd_minExports.seqMap(parsimmon_umd_minExports.string("."), q.identifier, (_, field) => { return { type: "dot", field }; }), indexPostfix: (q) => parsimmon_umd_minExports.seqMap(parsimmon_umd_minExports.string("["), parsimmon_umd_minExports.optWhitespace, q.field, parsimmon_umd_minExports.optWhitespace, parsimmon_umd_minExports.string("]"), (_, _2, field, _3, _4) => { return { type: "index", field }; }), functionPostfix: (q) => parsimmon_umd_minExports.seqMap(parsimmon_umd_minExports.string("("), parsimmon_umd_minExports.optWhitespace, q.field.sepBy(parsimmon_umd_minExports.string(",").trim(parsimmon_umd_minExports.optWhitespace)), parsimmon_umd_minExports.optWhitespace, parsimmon_umd_minExports.string(")"), (_, _1, fields, _2, _3) => { return { type: "function", fields }; }), binaryMulDivField: (q) => createBinaryParser(q.indexField, q.binaryMulDiv, Fields.binaryOp), binaryPlusMinusField: (q) => createBinaryParser(q.binaryMulDivField, q.binaryPlusMinus, Fields.binaryOp), binaryCompareField: (q) => createBinaryParser(q.binaryPlusMinusField, q.binaryCompareOp, Fields.binaryOp), binaryBooleanField: (q) => createBinaryParser(q.binaryCompareField, q.binaryBooleanOp, Fields.binaryOp), binaryOpField: (q) => q.binaryBooleanField, field: (q) => q.binaryOpField }); function parseField(text) { try { return Result.success(EXPRESSION.field.tryParse(text)); } catch (error) { return Result.failure("" + error); } } var QueryFields; (function(QueryFields2) { function named(name, field) { return { name, field }; } QueryFields2.named = named; function sortBy(field, dir) { return { field, direction: dir }; } QueryFields2.sortBy = sortBy; })(QueryFields || (QueryFields = {})); function captureRaw(base) { return parsimmon_umd_minExports.custom((success, failure) => { return (input, i) => { let result = base._(input, i); if (!result.status) return result; return Object.assign({}, result, { value: [result.value, input.substring(i, result.index)] }); }; }); } function stripNewlines(text) { return text.split(/[\r\n]+/).map((t) => t.trim()).join(""); } function precededByWhitespaceIfNotEof(if_eof, parser) { return parsimmon_umd_minExports.eof.map(if_eof).or(parsimmon_umd_minExports.whitespace.then(parser)); } var QUERY_LANGUAGE = parsimmon_umd_minExports.createLanguage({ queryType: (q) => parsimmon_umd_minExports.alt(parsimmon_umd_minExports.regexp(/TABLE|LIST|TASK|CALENDAR/i)).map((str) => str.toLowerCase()).desc("query type ('TABLE', 'LIST', 'TASK', or 'CALENDAR')"), explicitNamedField: (q) => parsimmon_umd_minExports.seqMap(EXPRESSION.field.skip(parsimmon_umd_minExports.whitespace), parsimmon_umd_minExports.regexp(/AS/i).skip(parsimmon_umd_minExports.whitespace), EXPRESSION.identifier.or(EXPRESSION.string), (field, _as, ident) => QueryFields.named(ident, field)), comment: () => parsimmon_umd_minExports.Parser((input, i) => { let line = input.substring(i); if (!line.startsWith("//")) return parsimmon_umd_minExports.makeFailure(i, "Not a comment"); line = line.split("\n")[0]; let comment = line.substring(2).trim(); return parsimmon_umd_minExports.makeSuccess(i + line.length, comment); }), namedField: (q) => parsimmon_umd_minExports.alt(q.explicitNamedField, captureRaw(EXPRESSION.field).map(([value, text]) => QueryFields.named(stripNewlines(text), value))), sortField: (q) => parsimmon_umd_minExports.seqMap(EXPRESSION.field.skip(parsimmon_umd_minExports.optWhitespace), parsimmon_umd_minExports.regexp(/ASCENDING|DESCENDING|ASC|DESC/i).atMost(1), (field, dir) => { let direction = dir.length == 0 ? "ascending" : dir[0].toLowerCase(); if (direction == "desc") direction = "descending"; if (direction == "asc") direction = "ascending"; return { field, direction }; }), headerClause: (q) => q.queryType.chain((type) => { switch (type) { case "table": { return precededByWhitespaceIfNotEof(() => ({ type, fields: [], showId: true }), parsimmon_umd_minExports.seqMap(parsimmon_umd_minExports.regexp(/WITHOUT\s+ID/i).skip(parsimmon_umd_minExports.optWhitespace).atMost(1), parsimmon_umd_minExports.sepBy(q.namedField, parsimmon_umd_minExports.string(",").trim(parsimmon_umd_minExports.optWhitespace)), (withoutId, fields) => { return { type, fields, showId: withoutId.length == 0 }; })); } case "list": return precededByWhitespaceIfNotEof(() => ({ type, format: void 0, showId: true }), parsimmon_umd_minExports.seqMap(parsimmon_umd_minExports.regexp(/WITHOUT\s+ID/i).skip(parsimmon_umd_minExports.optWhitespace).atMost(1), EXPRESSION.field.atMost(1), (withoutId, format) => { return { type, format: format.length == 1 ? format[0] : void 0, showId: withoutId.length == 0 }; })); case "task": return parsimmon_umd_minExports.succeed({ type }); case "calendar": return parsimmon_umd_minExports.whitespace.then(parsimmon_umd_minExports.seqMap(q.namedField, (field) => { return { type, showId: true, field }; })); default: return parsimmon_umd_minExports.fail(`Unrecognized query type '${type}'`); } }).desc("TABLE or LIST or TASK or CALENDAR"), fromClause: (q) => parsimmon_umd_minExports.seqMap(parsimmon_umd_minExports.regexp(/FROM/i), parsimmon_umd_minExports.whitespace, EXPRESSION.source, (_1, _2, source) => source), whereClause: (q) => parsimmon_umd_minExports.seqMap(parsimmon_umd_minExports.regexp(/WHERE/i), parsimmon_umd_minExports.whitespace, EXPRESSION.field, (where, _, field) => { return { type: "where", clause: field }; }).desc("WHERE "), sortByClause: (q) => parsimmon_umd_minExports.seqMap(parsimmon_umd_minExports.regexp(/SORT/i), parsimmon_umd_minExports.whitespace, q.sortField.sepBy1(parsimmon_umd_minExports.string(",").trim(parsimmon_umd_minExports.optWhitespace)), (sort, _1, fields) => { return { type: "sort", fields }; }).desc("SORT field [ASC/DESC]"), limitClause: (q) => parsimmon_umd_minExports.seqMap(parsimmon_umd_minExports.regexp(/LIMIT/i), parsimmon_umd_minExports.whitespace, EXPRESSION.field, (limit, _1, field) => { return { type: "limit", amount: field }; }).desc("LIMIT "), flattenClause: (q) => parsimmon_umd_minExports.seqMap(parsimmon_umd_minExports.regexp(/FLATTEN/i).skip(parsimmon_umd_minExports.whitespace), q.namedField, (_, field) => { return { type: "flatten", field }; }).desc("FLATTEN [AS ]"), groupByClause: (q) => parsimmon_umd_minExports.seqMap(parsimmon_umd_minExports.regexp(/GROUP BY/i).skip(parsimmon_umd_minExports.whitespace), q.namedField, (_, field) => { return { type: "group", field }; }).desc("GROUP BY [AS ]"), clause: (q) => parsimmon_umd_minExports.alt(q.fromClause, q.whereClause, q.sortByClause, q.limitClause, q.groupByClause, q.flattenClause), query: (q) => parsimmon_umd_minExports.seqMap(q.headerClause.trim(optionalWhitespaceOrComment), q.fromClause.trim(optionalWhitespaceOrComment).atMost(1), q.clause.trim(optionalWhitespaceOrComment).many(), (header, from, clauses) => { return { header, source: from.length == 0 ? Sources.folder("") : from[0], operations: clauses, settings: DEFAULT_QUERY_SETTINGS }; }) }); var optionalWhitespaceOrComment = parsimmon_umd_minExports.alt(parsimmon_umd_minExports.whitespace, QUERY_LANGUAGE.comment).many().map((arr) => arr.join("")); var getAPI22 = (app) => { var _a; if (app) return (_a = app.plugins.plugins.dataview) == null ? void 0 : _a.api; else return window.DataviewAPI; }; var isPluginEnabled = (app) => app.plugins.enabledPlugins.has("dataview"); exports2.DATE_SHORTHANDS = DATE_SHORTHANDS; exports2.DURATION_TYPES = DURATION_TYPES; exports2.EXPRESSION = EXPRESSION; exports2.KEYWORDS = KEYWORDS; exports2.QUERY_LANGUAGE = QUERY_LANGUAGE; exports2.getAPI = getAPI22; exports2.isPluginEnabled = isPluginEnabled; exports2.parseField = parseField; } }); var require_bytes = __commonJS({ "node_modules/bytes/index.js"(exports2, module2) { "use strict"; module2.exports = bytes; module2.exports.format = format; module2.exports.parse = parse; var formatThousandsRegExp = /\B(?=(\d{3})+(?!\d))/g; var formatDecimalsRegExp = /(?:\.0*|(\.[^0]+)0+)$/; var map = { b: 1, kb: 1 << 10, mb: 1 << 20, gb: 1 << 30, tb: Math.pow(1024, 4), pb: Math.pow(1024, 5) }; var parseRegExp = /^((-|\+)?(\d+(?:\.\d+)?)) *(kb|mb|gb|tb|pb)$/i; function bytes(value, options) { if (typeof value === "string") { return parse(value); } if (typeof value === "number") { return format(value, options); } return null; } function format(value, options) { if (!Number.isFinite(value)) { return null; } var mag = Math.abs(value); var thousandsSeparator = options && options.thousandsSeparator || ""; var unitSeparator = options && options.unitSeparator || ""; var decimalPlaces = options && options.decimalPlaces !== void 0 ? options.decimalPlaces : 2; var fixedDecimals = Boolean(options && options.fixedDecimals); var unit = options && options.unit || ""; if (!unit || !map[unit.toLowerCase()]) { if (mag >= map.pb) { unit = "PB"; } else if (mag >= map.tb) { unit = "TB"; } else if (mag >= map.gb) { unit = "GB"; } else if (mag >= map.mb) { unit = "MB"; } else if (mag >= map.kb) { unit = "KB"; } else { unit = "B"; } } var val = value / map[unit.toLowerCase()]; var str = val.toFixed(decimalPlaces); if (!fixedDecimals) { str = str.replace(formatDecimalsRegExp, "$1"); } if (thousandsSeparator) { str = str.split(".").map(function(s, i) { return i === 0 ? s.replace(formatThousandsRegExp, thousandsSeparator) : s; }).join("."); } return str + unitSeparator + unit; } function parse(val) { if (typeof val === "number" && !isNaN(val)) { return val; } if (typeof val !== "string") { return null; } var results = parseRegExp.exec(val); var floatValue; var unit = "b"; if (!results) { floatValue = parseInt(val, 10); unit = "b"; } else { floatValue = parseFloat(results[1]); unit = results[4].toLowerCase(); } if (isNaN(floatValue)) { return null; } return Math.floor(map[unit] * floatValue); } } }); var require_content_type = __commonJS({ "node_modules/content-type/index.js"(exports2) { "use strict"; var PARAM_REGEXP = /; *([!#$%&'*+.^_`|~0-9A-Za-z-]+) *= *("(?:[\u000b\u0020\u0021\u0023-\u005b\u005d-\u007e\u0080-\u00ff]|\\[\u000b\u0020-\u00ff])*"|[!#$%&'*+.^_`|~0-9A-Za-z-]+) */g; var TEXT_REGEXP = /^[\u000b\u0020-\u007e\u0080-\u00ff]+$/; var TOKEN_REGEXP = /^[!#$%&'*+.^_`|~0-9A-Za-z-]+$/; var QESC_REGEXP = /\\([\u000b\u0020-\u00ff])/g; var QUOTE_REGEXP = /([\\"])/g; var TYPE_REGEXP = /^[!#$%&'*+.^_`|~0-9A-Za-z-]+\/[!#$%&'*+.^_`|~0-9A-Za-z-]+$/; exports2.format = format; exports2.parse = parse; function format(obj) { if (!obj || typeof obj !== "object") { throw new TypeError("argument obj is required"); } var parameters = obj.parameters; var type = obj.type; if (!type || !TYPE_REGEXP.test(type)) { throw new TypeError("invalid type"); } var string = type; if (parameters && typeof parameters === "object") { var param; var params = Object.keys(parameters).sort(); for (var i = 0; i < params.length; i++) { param = params[i]; if (!TOKEN_REGEXP.test(param)) { throw new TypeError("invalid parameter name"); } string += "; " + param + "=" + qstring(parameters[param]); } } return string; } function parse(string) { if (!string) { throw new TypeError("argument string is required"); } var header = typeof string === "object" ? getcontenttype(string) : string; if (typeof header !== "string") { throw new TypeError("argument string is required to be a string"); } var index = header.indexOf(";"); var type = index !== -1 ? header.slice(0, index).trim() : header.trim(); if (!TYPE_REGEXP.test(type)) { throw new TypeError("invalid media type"); } var obj = new ContentType(type.toLowerCase()); if (index !== -1) { var key; var match; var value; PARAM_REGEXP.lastIndex = index; while (match = PARAM_REGEXP.exec(header)) { if (match.index !== index) { throw new TypeError("invalid parameter format"); } index += match[0].length; key = match[1].toLowerCase(); value = match[2]; if (value.charCodeAt(0) === 34) { value = value.slice(1, -1); if (value.indexOf("\\") !== -1) { value = value.replace(QESC_REGEXP, "$1"); } } obj.parameters[key] = value; } if (index !== header.length) { throw new TypeError("invalid parameter format"); } } return obj; } function getcontenttype(obj) { var header; if (typeof obj.getHeader === "function") { header = obj.getHeader("content-type"); } else if (typeof obj.headers === "object") { header = obj.headers && obj.headers["content-type"]; } if (typeof header !== "string") { throw new TypeError("content-type header is missing from object"); } return header; } function qstring(val) { var str = String(val); if (TOKEN_REGEXP.test(str)) { return str; } if (str.length > 0 && !TEXT_REGEXP.test(str)) { throw new TypeError("invalid parameter value"); } return '"' + str.replace(QUOTE_REGEXP, "\\$1") + '"'; } function ContentType(type) { this.parameters = /* @__PURE__ */ Object.create(null); this.type = type; } } }); var require_depd = __commonJS({ "node_modules/depd/index.js"(exports2, module2) { var relative2 = require("path").relative; module2.exports = depd2; var basePath2 = process.cwd(); function containsNamespace2(str, namespace) { var vals = str.split(/[ ,]+/); var ns = String(namespace).toLowerCase(); for (var i = 0; i < vals.length; i++) { var val = vals[i]; if (val && (val === "*" || val.toLowerCase() === ns)) { return true; } } return false; } function convertDataDescriptorToAccessor2(obj, prop, message2) { var descriptor = Object.getOwnPropertyDescriptor(obj, prop); var value = descriptor.value; descriptor.get = function getter() { return value; }; if (descriptor.writable) { descriptor.set = function setter(val) { return value = val; }; } delete descriptor.value; delete descriptor.writable; Object.defineProperty(obj, prop, descriptor); return descriptor; } function createArgumentsString2(arity) { var str = ""; for (var i = 0; i < arity; i++) { str += ", arg" + i; } return str.substr(2); } function createStackString2(stack2) { var str = this.name + ": " + this.namespace; if (this.message) { str += " deprecated " + this.message; } for (var i = 0; i < stack2.length; i++) { str += "\n at " + stack2[i].toString(); } return str; } function depd2(namespace) { if (!namespace) { throw new TypeError("argument namespace is required"); } var stack2 = getStack2(); var site2 = callSiteLocation2(stack2[1]); var file = site2[0]; function deprecate2(message2) { log2.call(deprecate2, message2); } deprecate2._file = file; deprecate2._ignored = isignored2(namespace); deprecate2._namespace = namespace; deprecate2._traced = istraced2(namespace); deprecate2._warned = /* @__PURE__ */ Object.create(null); deprecate2.function = wrapfunction2; deprecate2.property = wrapproperty2; return deprecate2; } function eehaslisteners(emitter, type) { var count = typeof emitter.listenerCount !== "function" ? emitter.listeners(type).length : emitter.listenerCount(type); return count > 0; } function isignored2(namespace) { if (process.noDeprecation) { return true; } var str = process.env.NO_DEPRECATION || ""; return containsNamespace2(str, namespace); } function istraced2(namespace) { if (process.traceDeprecation) { return true; } var str = process.env.TRACE_DEPRECATION || ""; return containsNamespace2(str, namespace); } function log2(message2, site2) { var haslisteners = eehaslisteners(process, "deprecation"); if (!haslisteners && this._ignored) { return; } var caller; var callFile; var callSite; var depSite; var i = 0; var seen = false; var stack2 = getStack2(); var file = this._file; if (site2) { depSite = site2; callSite = callSiteLocation2(stack2[1]); callSite.name = depSite.name; file = callSite[0]; } else { i = 2; depSite = callSiteLocation2(stack2[i]); callSite = depSite; } for (; i < stack2.length; i++) { caller = callSiteLocation2(stack2[i]); callFile = caller[0]; if (callFile === file) { seen = true; } else if (callFile === this._file) { file = this._file; } else if (seen) { break; } } var key = caller ? depSite.join(":") + "__" + caller.join(":") : void 0; if (key !== void 0 && key in this._warned) { return; } this._warned[key] = true; var msg = message2; if (!msg) { msg = callSite === depSite || !callSite.name ? defaultMessage2(depSite) : defaultMessage2(callSite); } if (haslisteners) { var err = DeprecationError2(this._namespace, msg, stack2.slice(i)); process.emit("deprecation", err); return; } var format = process.stderr.isTTY ? formatColor2 : formatPlain2; var output = format.call(this, msg, caller, stack2.slice(i)); process.stderr.write(output + "\n", "utf8"); } function callSiteLocation2(callSite) { var file = callSite.getFileName() || ""; var line = callSite.getLineNumber(); var colm = callSite.getColumnNumber(); if (callSite.isEval()) { file = callSite.getEvalOrigin() + ", " + file; } var site2 = [file, line, colm]; site2.callSite = callSite; site2.name = callSite.getFunctionName(); return site2; } function defaultMessage2(site2) { var callSite = site2.callSite; var funcName = site2.name; if (!funcName) { funcName = ""; } var context = callSite.getThis(); var typeName = context && callSite.getTypeName(); if (typeName === "Object") { typeName = void 0; } if (typeName === "Function") { typeName = context.name || typeName; } return typeName && callSite.getMethodName() ? typeName + "." + funcName : funcName; } function formatPlain2(msg, caller, stack2) { var timestamp = new Date().toUTCString(); var formatted = timestamp + " " + this._namespace + " deprecated " + msg; if (this._traced) { for (var i = 0; i < stack2.length; i++) { formatted += "\n at " + stack2[i].toString(); } return formatted; } if (caller) { formatted += " at " + formatLocation2(caller); } return formatted; } function formatColor2(msg, caller, stack2) { var formatted = "\x1B[36;1m" + this._namespace + "\x1B[22;39m \x1B[33;1mdeprecated\x1B[22;39m \x1B[0m" + msg + "\x1B[39m"; if (this._traced) { for (var i = 0; i < stack2.length; i++) { formatted += "\n \x1B[36mat " + stack2[i].toString() + "\x1B[39m"; } return formatted; } if (caller) { formatted += " \x1B[36m" + formatLocation2(caller) + "\x1B[39m"; } return formatted; } function formatLocation2(callSite) { return relative2(basePath2, callSite[0]) + ":" + callSite[1] + ":" + callSite[2]; } function getStack2() { var limit = Error.stackTraceLimit; var obj = {}; var prep = Error.prepareStackTrace; Error.prepareStackTrace = prepareObjectStackTrace2; Error.stackTraceLimit = Math.max(10, limit); Error.captureStackTrace(obj); var stack2 = obj.stack.slice(1); Error.prepareStackTrace = prep; Error.stackTraceLimit = limit; return stack2; } function prepareObjectStackTrace2(obj, stack2) { return stack2; } function wrapfunction2(fn2, message2) { if (typeof fn2 !== "function") { throw new TypeError("argument fn must be a function"); } var args2 = createArgumentsString2(fn2.length); var stack2 = getStack2(); var site2 = callSiteLocation2(stack2[1]); site2.name = fn2.name; var deprecatedfn2 = new Function("fn", "log", "deprecate", "message", "site", '"use strict"\nreturn function (' + args2 + ") {log.call(deprecate, message, site)\nreturn fn.apply(this, arguments)\n}")(fn2, log2, this, message2, site2); return deprecatedfn2; } function wrapproperty2(obj, prop, message2) { if (!obj || typeof obj !== "object" && typeof obj !== "function") { throw new TypeError("argument obj must be object"); } var descriptor = Object.getOwnPropertyDescriptor(obj, prop); if (!descriptor) { throw new TypeError("must call property on owner object"); } if (!descriptor.configurable) { throw new TypeError("property must be configurable"); } var deprecate2 = this; var stack2 = getStack2(); var site2 = callSiteLocation2(stack2[1]); site2.name = prop; if ("value" in descriptor) { descriptor = convertDataDescriptorToAccessor2(obj, prop, message2); } var get = descriptor.get; var set = descriptor.set; if (typeof get === "function") { descriptor.get = function getter() { log2.call(deprecate2, message2, site2); return get.apply(this, arguments); }; } if (typeof set === "function") { descriptor.set = function setter() { log2.call(deprecate2, message2, site2); return set.apply(this, arguments); }; } Object.defineProperty(obj, prop, descriptor); } function DeprecationError2(namespace, message2, stack2) { var error = new Error(); var stackString; Object.defineProperty(error, "constructor", { value: DeprecationError2 }); Object.defineProperty(error, "message", { configurable: true, enumerable: false, value: message2, writable: true }); Object.defineProperty(error, "name", { enumerable: false, configurable: true, value: "DeprecationError", writable: true }); Object.defineProperty(error, "namespace", { configurable: true, enumerable: false, value: namespace, writable: true }); Object.defineProperty(error, "stack", { configurable: true, enumerable: false, get: function() { if (stackString !== void 0) { return stackString; } return stackString = createStackString2.call(this, stack2); }, set: function setter(val) { stackString = val; } }); return error; } } }); var require_setprototypeof = __commonJS({ "node_modules/setprototypeof/index.js"(exports2, module2) { "use strict"; module2.exports = Object.setPrototypeOf || ({ __proto__: [] } instanceof Array ? setProtoOf : mixinProperties); function setProtoOf(obj, proto) { obj.__proto__ = proto; return obj; } function mixinProperties(obj, proto) { for (var prop in proto) { if (!Object.prototype.hasOwnProperty.call(obj, prop)) { obj[prop] = proto[prop]; } } return obj; } } }); var require_codes = __commonJS({ "node_modules/statuses/codes.json"(exports2, module2) { module2.exports = { "100": "Continue", "101": "Switching Protocols", "102": "Processing", "103": "Early Hints", "200": "OK", "201": "Created", "202": "Accepted", "203": "Non-Authoritative Information", "204": "No Content", "205": "Reset Content", "206": "Partial Content", "207": "Multi-Status", "208": "Already Reported", "226": "IM Used", "300": "Multiple Choices", "301": "Moved Permanently", "302": "Found", "303": "See Other", "304": "Not Modified", "305": "Use Proxy", "307": "Temporary Redirect", "308": "Permanent Redirect", "400": "Bad Request", "401": "Unauthorized", "402": "Payment Required", "403": "Forbidden", "404": "Not Found", "405": "Method Not Allowed", "406": "Not Acceptable", "407": "Proxy Authentication Required", "408": "Request Timeout", "409": "Conflict", "410": "Gone", "411": "Length Required", "412": "Precondition Failed", "413": "Payload Too Large", "414": "URI Too Long", "415": "Unsupported Media Type", "416": "Range Not Satisfiable", "417": "Expectation Failed", "418": "I'm a Teapot", "421": "Misdirected Request", "422": "Unprocessable Entity", "423": "Locked", "424": "Failed Dependency", "425": "Too Early", "426": "Upgrade Required", "428": "Precondition Required", "429": "Too Many Requests", "431": "Request Header Fields Too Large", "451": "Unavailable For Legal Reasons", "500": "Internal Server Error", "501": "Not Implemented", "502": "Bad Gateway", "503": "Service Unavailable", "504": "Gateway Timeout", "505": "HTTP Version Not Supported", "506": "Variant Also Negotiates", "507": "Insufficient Storage", "508": "Loop Detected", "509": "Bandwidth Limit Exceeded", "510": "Not Extended", "511": "Network Authentication Required" }; } }); var require_statuses = __commonJS({ "node_modules/statuses/index.js"(exports2, module2) { "use strict"; var codes = require_codes(); module2.exports = status; status.message = codes; status.code = createMessageToStatusCodeMap(codes); status.codes = createStatusCodeList(codes); status.redirect = { 300: true, 301: true, 302: true, 303: true, 305: true, 307: true, 308: true }; status.empty = { 204: true, 205: true, 304: true }; status.retry = { 502: true, 503: true, 504: true }; function createMessageToStatusCodeMap(codes2) { var map = {}; Object.keys(codes2).forEach(function forEachCode(code) { var message2 = codes2[code]; var status2 = Number(code); map[message2.toLowerCase()] = status2; }); return map; } function createStatusCodeList(codes2) { return Object.keys(codes2).map(function mapCode(code) { return Number(code); }); } function getStatusCode(message2) { var msg = message2.toLowerCase(); if (!Object.prototype.hasOwnProperty.call(status.code, msg)) { throw new Error('invalid status message: "' + message2 + '"'); } return status.code[msg]; } function getStatusMessage(code) { if (!Object.prototype.hasOwnProperty.call(status.message, code)) { throw new Error("invalid status code: " + code); } return status.message[code]; } function status(code) { if (typeof code === "number") { return getStatusMessage(code); } if (typeof code !== "string") { throw new TypeError("code must be a number or string"); } var n = parseInt(code, 10); if (!isNaN(n)) { return getStatusMessage(n); } return getStatusCode(code); } } }); var require_inherits_browser = __commonJS({ "node_modules/inherits/inherits_browser.js"(exports2, module2) { if (typeof Object.create === "function") { module2.exports = function inherits(ctor, superCtor) { if (superCtor) { ctor.super_ = superCtor; ctor.prototype = Object.create(superCtor.prototype, { constructor: { value: ctor, enumerable: false, writable: true, configurable: true } }); } }; } else { module2.exports = function inherits(ctor, superCtor) { if (superCtor) { ctor.super_ = superCtor; var TempCtor = function() { }; TempCtor.prototype = superCtor.prototype; ctor.prototype = new TempCtor(); ctor.prototype.constructor = ctor; } }; } } }); var require_inherits = __commonJS({ "node_modules/inherits/inherits.js"(exports2, module2) { try { util = require("util"); if (typeof util.inherits !== "function") throw ""; module2.exports = util.inherits; } catch (e) { module2.exports = require_inherits_browser(); } var util; } }); var require_toidentifier = __commonJS({ "node_modules/toidentifier/index.js"(exports2, module2) { "use strict"; module2.exports = toIdentifier; function toIdentifier(str) { return str.split(" ").map(function(token) { return token.slice(0, 1).toUpperCase() + token.slice(1); }).join("").replace(/[^ _0-9a-z]/gi, ""); } } }); var require_http_errors = __commonJS({ "node_modules/http-errors/index.js"(exports2, module2) { "use strict"; var deprecate2 = require_depd()("http-errors"); var setPrototypeOf = require_setprototypeof(); var statuses = require_statuses(); var inherits = require_inherits(); var toIdentifier = require_toidentifier(); module2.exports = createError; module2.exports.HttpError = createHttpErrorConstructor(); module2.exports.isHttpError = createIsHttpErrorFunction(module2.exports.HttpError); populateConstructorExports(module2.exports, statuses.codes, module2.exports.HttpError); function codeClass(status) { return Number(String(status).charAt(0) + "00"); } function createError() { var err; var msg; var status = 500; var props = {}; for (var i = 0; i < arguments.length; i++) { var arg = arguments[i]; var type = typeof arg; if (type === "object" && arg instanceof Error) { err = arg; status = err.status || err.statusCode || status; } else if (type === "number" && i === 0) { status = arg; } else if (type === "string") { msg = arg; } else if (type === "object") { props = arg; } else { throw new TypeError("argument #" + (i + 1) + " unsupported type " + type); } } if (typeof status === "number" && (status < 400 || status >= 600)) { deprecate2("non-error status code; use only 4xx or 5xx status codes"); } if (typeof status !== "number" || !statuses.message[status] && (status < 400 || status >= 600)) { status = 500; } var HttpError = createError[status] || createError[codeClass(status)]; if (!err) { err = HttpError ? new HttpError(msg) : new Error(msg || statuses.message[status]); Error.captureStackTrace(err, createError); } if (!HttpError || !(err instanceof HttpError) || err.status !== status) { err.expose = status < 500; err.status = err.statusCode = status; } for (var key in props) { if (key !== "status" && key !== "statusCode") { err[key] = props[key]; } } return err; } function createHttpErrorConstructor() { function HttpError() { throw new TypeError("cannot construct abstract class"); } inherits(HttpError, Error); return HttpError; } function createClientErrorConstructor(HttpError, name, code) { var className = toClassName(name); function ClientError(message2) { var msg = message2 != null ? message2 : statuses.message[code]; var err = new Error(msg); Error.captureStackTrace(err, ClientError); setPrototypeOf(err, ClientError.prototype); Object.defineProperty(err, "message", { enumerable: true, configurable: true, value: msg, writable: true }); Object.defineProperty(err, "name", { enumerable: false, configurable: true, value: className, writable: true }); return err; } inherits(ClientError, HttpError); nameFunc(ClientError, className); ClientError.prototype.status = code; ClientError.prototype.statusCode = code; ClientError.prototype.expose = true; return ClientError; } function createIsHttpErrorFunction(HttpError) { return function isHttpError(val) { if (!val || typeof val !== "object") { return false; } if (val instanceof HttpError) { return true; } return val instanceof Error && typeof val.expose === "boolean" && typeof val.statusCode === "number" && val.status === val.statusCode; }; } function createServerErrorConstructor(HttpError, name, code) { var className = toClassName(name); function ServerError(message2) { var msg = message2 != null ? message2 : statuses.message[code]; var err = new Error(msg); Error.captureStackTrace(err, ServerError); setPrototypeOf(err, ServerError.prototype); Object.defineProperty(err, "message", { enumerable: true, configurable: true, value: msg, writable: true }); Object.defineProperty(err, "name", { enumerable: false, configurable: true, value: className, writable: true }); return err; } inherits(ServerError, HttpError); nameFunc(ServerError, className); ServerError.prototype.status = code; ServerError.prototype.statusCode = code; ServerError.prototype.expose = false; return ServerError; } function nameFunc(func, name) { var desc = Object.getOwnPropertyDescriptor(func, "name"); if (desc && desc.configurable) { desc.value = name; Object.defineProperty(func, "name", desc); } } function populateConstructorExports(exports3, codes, HttpError) { codes.forEach(function forEachCode(code) { var CodeError; var name = toIdentifier(statuses.message[code]); switch (codeClass(code)) { case 400: CodeError = createClientErrorConstructor(HttpError, name, code); break; case 500: CodeError = createServerErrorConstructor(HttpError, name, code); break; } if (CodeError) { exports3[code] = CodeError; exports3[name] = CodeError; } }); } function toClassName(name) { return name.substr(-5) !== "Error" ? name + "Error" : name; } } }); var require_ms = __commonJS({ "node_modules/body-parser/node_modules/ms/index.js"(exports2, module2) { var s = 1e3; var m = s * 60; var h = m * 60; var d = h * 24; var y = d * 365.25; module2.exports = function(val, options) { options = options || {}; var type = typeof val; if (type === "string" && val.length > 0) { return parse(val); } else if (type === "number" && isNaN(val) === false) { return options.long ? fmtLong(val) : fmtShort(val); } throw new Error("val is not a non-empty string or a valid number. val=" + JSON.stringify(val)); }; function parse(str) { str = String(str); if (str.length > 100) { return; } var match = /^((?:\d+)?\.?\d+) *(milliseconds?|msecs?|ms|seconds?|secs?|s|minutes?|mins?|m|hours?|hrs?|h|days?|d|years?|yrs?|y)?$/i.exec(str); if (!match) { return; } var n = parseFloat(match[1]); var type = (match[2] || "ms").toLowerCase(); switch (type) { case "years": case "year": case "yrs": case "yr": case "y": return n * y; case "days": case "day": case "d": return n * d; case "hours": case "hour": case "hrs": case "hr": case "h": return n * h; case "minutes": case "minute": case "mins": case "min": case "m": return n * m; case "seconds": case "second": case "secs": case "sec": case "s": return n * s; case "milliseconds": case "millisecond": case "msecs": case "msec": case "ms": return n; default: return void 0; } } function fmtShort(ms) { if (ms >= d) { return Math.round(ms / d) + "d"; } if (ms >= h) { return Math.round(ms / h) + "h"; } if (ms >= m) { return Math.round(ms / m) + "m"; } if (ms >= s) { return Math.round(ms / s) + "s"; } return ms + "ms"; } function fmtLong(ms) { return plural(ms, d, "day") || plural(ms, h, "hour") || plural(ms, m, "minute") || plural(ms, s, "second") || ms + " ms"; } function plural(ms, n, name) { if (ms < n) { return; } if (ms < n * 1.5) { return Math.floor(ms / n) + " " + name; } return Math.ceil(ms / n) + " " + name + "s"; } } }); var require_debug = __commonJS({ "node_modules/body-parser/node_modules/debug/src/debug.js"(exports2, module2) { exports2 = module2.exports = createDebug.debug = createDebug["default"] = createDebug; exports2.coerce = coerce; exports2.disable = disable; exports2.enable = enable; exports2.enabled = enabled; exports2.humanize = require_ms(); exports2.instances = []; exports2.names = []; exports2.skips = []; exports2.formatters = {}; function selectColor(namespace) { var hash = 0, i; for (i in namespace) { hash = (hash << 5) - hash + namespace.charCodeAt(i); hash |= 0; } return exports2.colors[Math.abs(hash) % exports2.colors.length]; } function createDebug(namespace) { var prevTime; function debug() { if (!debug.enabled) return; var self2 = debug; var curr = +new Date(); var ms = curr - (prevTime || curr); self2.diff = ms; self2.prev = prevTime; self2.curr = curr; prevTime = curr; var args2 = new Array(arguments.length); for (var i = 0; i < args2.length; i++) { args2[i] = arguments[i]; } args2[0] = exports2.coerce(args2[0]); if (typeof args2[0] !== "string") { args2.unshift("%O"); } var index = 0; args2[0] = args2[0].replace(/%([a-zA-Z%])/g, function(match, format) { if (match === "%%") return match; index++; var formatter = exports2.formatters[format]; if (typeof formatter === "function") { var val = args2[index]; match = formatter.call(self2, val); args2.splice(index, 1); index--; } return match; }); exports2.formatArgs.call(self2, args2); var logFn = debug.log || exports2.log || console.log.bind(console); logFn.apply(self2, args2); } debug.namespace = namespace; debug.enabled = exports2.enabled(namespace); debug.useColors = exports2.useColors(); debug.color = selectColor(namespace); debug.destroy = destroy; if (typeof exports2.init === "function") { exports2.init(debug); } exports2.instances.push(debug); return debug; } function destroy() { var index = exports2.instances.indexOf(this); if (index !== -1) { exports2.instances.splice(index, 1); return true; } else { return false; } } function enable(namespaces) { exports2.save(namespaces); exports2.names = []; exports2.skips = []; var i; var split = (typeof namespaces === "string" ? namespaces : "").split(/[\s,]+/); var len = split.length; for (i = 0; i < len; i++) { if (!split[i]) continue; namespaces = split[i].replace(/\*/g, ".*?"); if (namespaces[0] === "-") { exports2.skips.push(new RegExp("^" + namespaces.substr(1) + "$")); } else { exports2.names.push(new RegExp("^" + namespaces + "$")); } } for (i = 0; i < exports2.instances.length; i++) { var instance = exports2.instances[i]; instance.enabled = exports2.enabled(instance.namespace); } } function disable() { exports2.enable(""); } function enabled(name) { if (name[name.length - 1] === "*") { return true; } var i, len; for (i = 0, len = exports2.skips.length; i < len; i++) { if (exports2.skips[i].test(name)) { return false; } } for (i = 0, len = exports2.names.length; i < len; i++) { if (exports2.names[i].test(name)) { return true; } } return false; } function coerce(val) { if (val instanceof Error) return val.stack || val.message; return val; } } }); var require_browser = __commonJS({ "node_modules/body-parser/node_modules/debug/src/browser.js"(exports2, module2) { exports2 = module2.exports = require_debug(); exports2.log = log2; exports2.formatArgs = formatArgs; exports2.save = save; exports2.load = load; exports2.useColors = useColors; exports2.storage = typeof chrome != "undefined" && typeof chrome.storage != "undefined" ? chrome.storage.local : localstorage(); exports2.colors = [ "#0000CC", "#0000FF", "#0033CC", "#0033FF", "#0066CC", "#0066FF", "#0099CC", "#0099FF", "#00CC00", "#00CC33", "#00CC66", "#00CC99", "#00CCCC", "#00CCFF", "#3300CC", "#3300FF", "#3333CC", "#3333FF", "#3366CC", "#3366FF", "#3399CC", "#3399FF", "#33CC00", "#33CC33", "#33CC66", "#33CC99", "#33CCCC", "#33CCFF", "#6600CC", "#6600FF", "#6633CC", "#6633FF", "#66CC00", "#66CC33", "#9900CC", "#9900FF", "#9933CC", "#9933FF", "#99CC00", "#99CC33", "#CC0000", "#CC0033", "#CC0066", "#CC0099", "#CC00CC", "#CC00FF", "#CC3300", "#CC3333", "#CC3366", "#CC3399", "#CC33CC", "#CC33FF", "#CC6600", "#CC6633", "#CC9900", "#CC9933", "#CCCC00", "#CCCC33", "#FF0000", "#FF0033", "#FF0066", "#FF0099", "#FF00CC", "#FF00FF", "#FF3300", "#FF3333", "#FF3366", "#FF3399", "#FF33CC", "#FF33FF", "#FF6600", "#FF6633", "#FF9900", "#FF9933", "#FFCC00", "#FFCC33" ]; function useColors() { if (typeof window !== "undefined" && window.process && window.process.type === "renderer") { return true; } if (typeof navigator !== "undefined" && navigator.userAgent && navigator.userAgent.toLowerCase().match(/(edge|trident)\/(\d+)/)) { return false; } return typeof document !== "undefined" && document.documentElement && document.documentElement.style && document.documentElement.style.WebkitAppearance || typeof window !== "undefined" && window.console && (window.console.firebug || window.console.exception && window.console.table) || typeof navigator !== "undefined" && navigator.userAgent && navigator.userAgent.toLowerCase().match(/firefox\/(\d+)/) && parseInt(RegExp.$1, 10) >= 31 || typeof navigator !== "undefined" && navigator.userAgent && navigator.userAgent.toLowerCase().match(/applewebkit\/(\d+)/); } exports2.formatters.j = function(v) { try { return JSON.stringify(v); } catch (err) { return "[UnexpectedJSONParseError]: " + err.message; } }; function formatArgs(args2) { var useColors2 = this.useColors; args2[0] = (useColors2 ? "%c" : "") + this.namespace + (useColors2 ? " %c" : " ") + args2[0] + (useColors2 ? "%c " : " ") + "+" + exports2.humanize(this.diff); if (!useColors2) return; var c = "color: " + this.color; args2.splice(1, 0, c, "color: inherit"); var index = 0; var lastC = 0; args2[0].replace(/%[a-zA-Z%]/g, function(match) { if (match === "%%") return; index++; if (match === "%c") { lastC = index; } }); args2.splice(lastC, 0, c); } function log2() { return typeof console === "object" && console.log && Function.prototype.apply.call(console.log, console, arguments); } function save(namespaces) { try { if (namespaces == null) { exports2.storage.removeItem("debug"); } else { exports2.storage.debug = namespaces; } } catch (e) { } } function load() { var r; try { r = exports2.storage.debug; } catch (e) { } if (!r && typeof process !== "undefined" && "env" in process) { r = process.env.DEBUG; } return r; } exports2.enable(load()); function localstorage() { try { return window.localStorage; } catch (e) { } } } }); var require_has_flag = __commonJS({ "node_modules/has-flag/index.js"(exports2, module2) { "use strict"; module2.exports = (flag, argv = process.argv) => { const prefix = flag.startsWith("-") ? "" : flag.length === 1 ? "-" : "--"; const position = argv.indexOf(prefix + flag); const terminatorPosition = argv.indexOf("--"); return position !== -1 && (terminatorPosition === -1 || position < terminatorPosition); }; } }); var require_supports_color = __commonJS({ "node_modules/supports-color/index.js"(exports2, module2) { "use strict"; var os = require("os"); var tty = require("tty"); var hasFlag = require_has_flag(); var { env } = process; var forceColor; if (hasFlag("no-color") || hasFlag("no-colors") || hasFlag("color=false") || hasFlag("color=never")) { forceColor = 0; } else if (hasFlag("color") || hasFlag("colors") || hasFlag("color=true") || hasFlag("color=always")) { forceColor = 1; } if ("FORCE_COLOR" in env) { if (env.FORCE_COLOR === "true") { forceColor = 1; } else if (env.FORCE_COLOR === "false") { forceColor = 0; } else { forceColor = env.FORCE_COLOR.length === 0 ? 1 : Math.min(parseInt(env.FORCE_COLOR, 10), 3); } } function translateLevel(level) { if (level === 0) { return false; } return { level, hasBasic: true, has256: level >= 2, has16m: level >= 3 }; } function supportsColor(haveStream, streamIsTTY) { if (forceColor === 0) { return 0; } if (hasFlag("color=16m") || hasFlag("color=full") || hasFlag("color=truecolor")) { return 3; } if (hasFlag("color=256")) { return 2; } if (haveStream && !streamIsTTY && forceColor === void 0) { return 0; } const min = forceColor || 0; if (env.TERM === "dumb") { return min; } if (process.platform === "win32") { const osRelease = os.release().split("."); if (Number(osRelease[0]) >= 10 && Number(osRelease[2]) >= 10586) { return Number(osRelease[2]) >= 14931 ? 3 : 2; } return 1; } if ("CI" in env) { if (["TRAVIS", "CIRCLECI", "APPVEYOR", "GITLAB_CI", "GITHUB_ACTIONS", "BUILDKITE"].some((sign) => sign in env) || env.CI_NAME === "codeship") { return 1; } return min; } if ("TEAMCITY_VERSION" in env) { return /^(9\.(0*[1-9]\d*)\.|\d{2,}\.)/.test(env.TEAMCITY_VERSION) ? 1 : 0; } if (env.COLORTERM === "truecolor") { return 3; } if ("TERM_PROGRAM" in env) { const version = parseInt((env.TERM_PROGRAM_VERSION || "").split(".")[0], 10); switch (env.TERM_PROGRAM) { case "iTerm.app": return version >= 3 ? 3 : 2; case "Apple_Terminal": return 2; } } if (/-256(color)?$/i.test(env.TERM)) { return 2; } if (/^screen|^xterm|^vt100|^vt220|^rxvt|color|ansi|cygwin|linux/i.test(env.TERM)) { return 1; } if ("COLORTERM" in env) { return 1; } return min; } function getSupportLevel(stream) { const level = supportsColor(stream, stream && stream.isTTY); return translateLevel(level); } module2.exports = { supportsColor: getSupportLevel, stdout: translateLevel(supportsColor(true, tty.isatty(1))), stderr: translateLevel(supportsColor(true, tty.isatty(2))) }; } }); var require_node = __commonJS({ "node_modules/body-parser/node_modules/debug/src/node.js"(exports2, module2) { var tty = require("tty"); var util = require("util"); exports2 = module2.exports = require_debug(); exports2.init = init; exports2.log = log2; exports2.formatArgs = formatArgs; exports2.save = save; exports2.load = load; exports2.useColors = useColors; exports2.colors = [6, 2, 3, 4, 5, 1]; try { supportsColor = require_supports_color(); if (supportsColor && supportsColor.level >= 2) { exports2.colors = [ 20, 21, 26, 27, 32, 33, 38, 39, 40, 41, 42, 43, 44, 45, 56, 57, 62, 63, 68, 69, 74, 75, 76, 77, 78, 79, 80, 81, 92, 93, 98, 99, 112, 113, 128, 129, 134, 135, 148, 149, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 178, 179, 184, 185, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 214, 215, 220, 221 ]; } } catch (err) { } var supportsColor; exports2.inspectOpts = Object.keys(process.env).filter(function(key) { return /^debug_/i.test(key); }).reduce(function(obj, key) { var prop = key.substring(6).toLowerCase().replace(/_([a-z])/g, function(_, k) { return k.toUpperCase(); }); var val = process.env[key]; if (/^(yes|on|true|enabled)$/i.test(val)) val = true; else if (/^(no|off|false|disabled)$/i.test(val)) val = false; else if (val === "null") val = null; else val = Number(val); obj[prop] = val; return obj; }, {}); function useColors() { return "colors" in exports2.inspectOpts ? Boolean(exports2.inspectOpts.colors) : tty.isatty(process.stderr.fd); } exports2.formatters.o = function(v) { this.inspectOpts.colors = this.useColors; return util.inspect(v, this.inspectOpts).split("\n").map(function(str) { return str.trim(); }).join(" "); }; exports2.formatters.O = function(v) { this.inspectOpts.colors = this.useColors; return util.inspect(v, this.inspectOpts); }; function formatArgs(args2) { var name = this.namespace; var useColors2 = this.useColors; if (useColors2) { var c = this.color; var colorCode = "\x1B[3" + (c < 8 ? c : "8;5;" + c); var prefix = " " + colorCode + ";1m" + name + " \x1B[0m"; args2[0] = prefix + args2[0].split("\n").join("\n" + prefix); args2.push(colorCode + "m+" + exports2.humanize(this.diff) + "\x1B[0m"); } else { args2[0] = getDate() + name + " " + args2[0]; } } function getDate() { if (exports2.inspectOpts.hideDate) { return ""; } else { return new Date().toISOString() + " "; } } function log2() { return process.stderr.write(util.format.apply(util, arguments) + "\n"); } function save(namespaces) { if (namespaces == null) { delete process.env.DEBUG; } else { process.env.DEBUG = namespaces; } } function load() { return process.env.DEBUG; } function init(debug) { debug.inspectOpts = {}; var keys = Object.keys(exports2.inspectOpts); for (var i = 0; i < keys.length; i++) { debug.inspectOpts[keys[i]] = exports2.inspectOpts[keys[i]]; } } exports2.enable(load()); } }); var require_src = __commonJS({ "node_modules/body-parser/node_modules/debug/src/index.js"(exports2, module2) { if (typeof process === "undefined" || process.type === "renderer") { module2.exports = require_browser(); } else { module2.exports = require_node(); } } }); var require_ee_first = __commonJS({ "node_modules/ee-first/index.js"(exports2, module2) { "use strict"; module2.exports = first; function first(stuff, done) { if (!Array.isArray(stuff)) throw new TypeError("arg must be an array of [ee, events...] arrays"); var cleanups = []; for (var i = 0; i < stuff.length; i++) { var arr = stuff[i]; if (!Array.isArray(arr) || arr.length < 2) throw new TypeError("each array member must be [ee, events...]"); var ee = arr[0]; for (var j = 1; j < arr.length; j++) { var event = arr[j]; var fn2 = listener(event, callback); ee.on(event, fn2); cleanups.push({ ee, event, fn: fn2 }); } } function callback() { cleanup(); done.apply(null, arguments); } function cleanup() { var x; for (var i2 = 0; i2 < cleanups.length; i2++) { x = cleanups[i2]; x.ee.removeListener(x.event, x.fn); } } function thunk(fn3) { done = fn3; } thunk.cancel = cleanup; return thunk; } function listener(event, done) { return function onevent(arg1) { var args2 = new Array(arguments.length); var ee = this; var err = event === "error" ? arg1 : null; for (var i = 0; i < args2.length; i++) { args2[i] = arguments[i]; } done(err, ee, event, args2); }; } } }); var require_on_finished = __commonJS({ "node_modules/on-finished/index.js"(exports2, module2) { "use strict"; module2.exports = onFinished; module2.exports.isFinished = isFinished; var asyncHooks = tryRequireAsyncHooks(); var first = require_ee_first(); var defer = typeof setImmediate === "function" ? setImmediate : function(fn2) { process.nextTick(fn2.bind.apply(fn2, arguments)); }; function onFinished(msg, listener) { if (isFinished(msg) !== false) { defer(listener, null, msg); return msg; } attachListener(msg, wrap2(listener)); return msg; } function isFinished(msg) { var socket = msg.socket; if (typeof msg.finished === "boolean") { return Boolean(msg.finished || socket && !socket.writable); } if (typeof msg.complete === "boolean") { return Boolean(msg.upgrade || !socket || !socket.readable || msg.complete && !msg.readable); } return void 0; } function attachFinishedListener(msg, callback) { var eeMsg; var eeSocket; var finished = false; function onFinish(error) { eeMsg.cancel(); eeSocket.cancel(); finished = true; callback(error); } eeMsg = eeSocket = first([[msg, "end", "finish"]], onFinish); function onSocket(socket) { msg.removeListener("socket", onSocket); if (finished) return; if (eeMsg !== eeSocket) return; eeSocket = first([[socket, "error", "close"]], onFinish); } if (msg.socket) { onSocket(msg.socket); return; } msg.on("socket", onSocket); if (msg.socket === void 0) { patchAssignSocket(msg, onSocket); } } function attachListener(msg, listener) { var attached = msg.__onFinished; if (!attached || !attached.queue) { attached = msg.__onFinished = createListener(msg); attachFinishedListener(msg, attached); } attached.queue.push(listener); } function createListener(msg) { function listener(err) { if (msg.__onFinished === listener) msg.__onFinished = null; if (!listener.queue) return; var queue = listener.queue; listener.queue = null; for (var i = 0; i < queue.length; i++) { queue[i](err, msg); } } listener.queue = []; return listener; } function patchAssignSocket(res, callback) { var assignSocket = res.assignSocket; if (typeof assignSocket !== "function") return; res.assignSocket = function _assignSocket(socket) { assignSocket.call(this, socket); callback(socket); }; } function tryRequireAsyncHooks() { try { return require("async_hooks"); } catch (e) { return {}; } } function wrap2(fn2) { var res; if (asyncHooks.AsyncResource) { res = new asyncHooks.AsyncResource(fn2.name || "bound-anonymous-fn"); } if (!res || !res.runInAsyncScope) { return fn2; } return res.runInAsyncScope.bind(res, fn2, null); } } }); var require_destroy = __commonJS({ "node_modules/destroy/index.js"(exports2, module2) { "use strict"; var EventEmitter = require("events").EventEmitter; var ReadStream = require("fs").ReadStream; var Stream = require("stream"); var Zlib = require("zlib"); module2.exports = destroy; function destroy(stream, suppress) { if (isFsReadStream(stream)) { destroyReadStream(stream); } else if (isZlibStream(stream)) { destroyZlibStream(stream); } else if (hasDestroy(stream)) { stream.destroy(); } if (isEventEmitter(stream) && suppress) { stream.removeAllListeners("error"); stream.addListener("error", noop); } return stream; } function destroyReadStream(stream) { stream.destroy(); if (typeof stream.close === "function") { stream.on("open", onOpenClose); } } function closeZlibStream(stream) { if (stream._hadError === true) { var prop = stream._binding === null ? "_binding" : "_handle"; stream[prop] = { close: function() { this[prop] = null; } }; } stream.close(); } function destroyZlibStream(stream) { if (typeof stream.destroy === "function") { if (stream._binding) { stream.destroy(); if (stream._processing) { stream._needDrain = true; stream.once("drain", onDrainClearBinding); } else { stream._binding.clear(); } } else if (stream._destroy && stream._destroy !== Stream.Transform.prototype._destroy) { stream.destroy(); } else if (stream._destroy && typeof stream.close === "function") { stream.destroyed = true; stream.close(); } else { stream.destroy(); } } else if (typeof stream.close === "function") { closeZlibStream(stream); } } function hasDestroy(stream) { return stream instanceof Stream && typeof stream.destroy === "function"; } function isEventEmitter(val) { return val instanceof EventEmitter; } function isFsReadStream(stream) { return stream instanceof ReadStream; } function isZlibStream(stream) { return stream instanceof Zlib.Gzip || stream instanceof Zlib.Gunzip || stream instanceof Zlib.Deflate || stream instanceof Zlib.DeflateRaw || stream instanceof Zlib.Inflate || stream instanceof Zlib.InflateRaw || stream instanceof Zlib.Unzip; } function noop() { } function onDrainClearBinding() { this._binding.clear(); } function onOpenClose() { if (typeof this.fd === "number") { this.close(); } } } }); var require_safer = __commonJS({ "node_modules/safer-buffer/safer.js"(exports2, module2) { "use strict"; var buffer = require("buffer"); var Buffer2 = buffer.Buffer; var safer = {}; var key; for (key in buffer) { if (!buffer.hasOwnProperty(key)) continue; if (key === "SlowBuffer" || key === "Buffer") continue; safer[key] = buffer[key]; } var Safer = safer.Buffer = {}; for (key in Buffer2) { if (!Buffer2.hasOwnProperty(key)) continue; if (key === "allocUnsafe" || key === "allocUnsafeSlow") continue; Safer[key] = Buffer2[key]; } safer.Buffer.prototype = Buffer2.prototype; if (!Safer.from || Safer.from === Uint8Array.from) { Safer.from = function(value, encodingOrOffset, length) { if (typeof value === "number") { throw new TypeError('The "value" argument must not be of type number. Received type ' + typeof value); } if (value && typeof value.length === "undefined") { throw new TypeError("The first argument must be one of type string, Buffer, ArrayBuffer, Array, or Array-like Object. Received type " + typeof value); } return Buffer2(value, encodingOrOffset, length); }; } if (!Safer.alloc) { Safer.alloc = function(size, fill, encoding) { if (typeof size !== "number") { throw new TypeError('The "size" argument must be of type number. Received type ' + typeof size); } if (size < 0 || size >= 2 * (1 << 30)) { throw new RangeError('The value "' + size + '" is invalid for option "size"'); } var buf = Buffer2(size); if (!fill || fill.length === 0) { buf.fill(0); } else if (typeof encoding === "string") { buf.fill(fill, encoding); } else { buf.fill(fill); } return buf; }; } if (!safer.kStringMaxLength) { try { safer.kStringMaxLength = process.binding("buffer").kStringMaxLength; } catch (e) { } } if (!safer.constants) { safer.constants = { MAX_LENGTH: safer.kMaxLength }; if (safer.kStringMaxLength) { safer.constants.MAX_STRING_LENGTH = safer.kStringMaxLength; } } module2.exports = safer; } }); var require_bom_handling = __commonJS({ "node_modules/iconv-lite/lib/bom-handling.js"(exports2) { "use strict"; var BOMChar = "\uFEFF"; exports2.PrependBOM = PrependBOMWrapper; function PrependBOMWrapper(encoder, options) { this.encoder = encoder; this.addBOM = true; } PrependBOMWrapper.prototype.write = function(str) { if (this.addBOM) { str = BOMChar + str; this.addBOM = false; } return this.encoder.write(str); }; PrependBOMWrapper.prototype.end = function() { return this.encoder.end(); }; exports2.StripBOM = StripBOMWrapper; function StripBOMWrapper(decoder, options) { this.decoder = decoder; this.pass = false; this.options = options || {}; } StripBOMWrapper.prototype.write = function(buf) { var res = this.decoder.write(buf); if (this.pass || !res) return res; if (res[0] === BOMChar) { res = res.slice(1); if (typeof this.options.stripBOM === "function") this.options.stripBOM(); } this.pass = true; return res; }; StripBOMWrapper.prototype.end = function() { return this.decoder.end(); }; } }); var require_internal = __commonJS({ "node_modules/iconv-lite/encodings/internal.js"(exports2, module2) { "use strict"; var Buffer2 = require_safer().Buffer; module2.exports = { utf8: { type: "_internal", bomAware: true }, cesu8: { type: "_internal", bomAware: true }, unicode11utf8: "utf8", ucs2: { type: "_internal", bomAware: true }, utf16le: "ucs2", binary: { type: "_internal" }, base64: { type: "_internal" }, hex: { type: "_internal" }, _internal: InternalCodec }; function InternalCodec(codecOptions, iconv) { this.enc = codecOptions.encodingName; this.bomAware = codecOptions.bomAware; if (this.enc === "base64") this.encoder = InternalEncoderBase64; else if (this.enc === "cesu8") { this.enc = "utf8"; this.encoder = InternalEncoderCesu8; if (Buffer2.from("eda0bdedb2a9", "hex").toString() !== "\u{1F4A9}") { this.decoder = InternalDecoderCesu8; this.defaultCharUnicode = iconv.defaultCharUnicode; } } } InternalCodec.prototype.encoder = InternalEncoder; InternalCodec.prototype.decoder = InternalDecoder; var StringDecoder = require("string_decoder").StringDecoder; if (!StringDecoder.prototype.end) StringDecoder.prototype.end = function() { }; function InternalDecoder(options, codec) { StringDecoder.call(this, codec.enc); } InternalDecoder.prototype = StringDecoder.prototype; function InternalEncoder(options, codec) { this.enc = codec.enc; } InternalEncoder.prototype.write = function(str) { return Buffer2.from(str, this.enc); }; InternalEncoder.prototype.end = function() { }; function InternalEncoderBase64(options, codec) { this.prevStr = ""; } InternalEncoderBase64.prototype.write = function(str) { str = this.prevStr + str; var completeQuads = str.length - str.length % 4; this.prevStr = str.slice(completeQuads); str = str.slice(0, completeQuads); return Buffer2.from(str, "base64"); }; InternalEncoderBase64.prototype.end = function() { return Buffer2.from(this.prevStr, "base64"); }; function InternalEncoderCesu8(options, codec) { } InternalEncoderCesu8.prototype.write = function(str) { var buf = Buffer2.alloc(str.length * 3), bufIdx = 0; for (var i = 0; i < str.length; i++) { var charCode = str.charCodeAt(i); if (charCode < 128) buf[bufIdx++] = charCode; else if (charCode < 2048) { buf[bufIdx++] = 192 + (charCode >>> 6); buf[bufIdx++] = 128 + (charCode & 63); } else { buf[bufIdx++] = 224 + (charCode >>> 12); buf[bufIdx++] = 128 + (charCode >>> 6 & 63); buf[bufIdx++] = 128 + (charCode & 63); } } return buf.slice(0, bufIdx); }; InternalEncoderCesu8.prototype.end = function() { }; function InternalDecoderCesu8(options, codec) { this.acc = 0; this.contBytes = 0; this.accBytes = 0; this.defaultCharUnicode = codec.defaultCharUnicode; } InternalDecoderCesu8.prototype.write = function(buf) { var acc = this.acc, contBytes = this.contBytes, accBytes = this.accBytes, res = ""; for (var i = 0; i < buf.length; i++) { var curByte = buf[i]; if ((curByte & 192) !== 128) { if (contBytes > 0) { res += this.defaultCharUnicode; contBytes = 0; } if (curByte < 128) { res += String.fromCharCode(curByte); } else if (curByte < 224) { acc = curByte & 31; contBytes = 1; accBytes = 1; } else if (curByte < 240) { acc = curByte & 15; contBytes = 2; accBytes = 1; } else { res += this.defaultCharUnicode; } } else { if (contBytes > 0) { acc = acc << 6 | curByte & 63; contBytes--; accBytes++; if (contBytes === 0) { if (accBytes === 2 && acc < 128 && acc > 0) res += this.defaultCharUnicode; else if (accBytes === 3 && acc < 2048) res += this.defaultCharUnicode; else res += String.fromCharCode(acc); } } else { res += this.defaultCharUnicode; } } } this.acc = acc; this.contBytes = contBytes; this.accBytes = accBytes; return res; }; InternalDecoderCesu8.prototype.end = function() { var res = 0; if (this.contBytes > 0) res += this.defaultCharUnicode; return res; }; } }); var require_utf32 = __commonJS({ "node_modules/iconv-lite/encodings/utf32.js"(exports2) { "use strict"; var Buffer2 = require_safer().Buffer; exports2._utf32 = Utf32Codec; function Utf32Codec(codecOptions, iconv) { this.iconv = iconv; this.bomAware = true; this.isLE = codecOptions.isLE; } exports2.utf32le = { type: "_utf32", isLE: true }; exports2.utf32be = { type: "_utf32", isLE: false }; exports2.ucs4le = "utf32le"; exports2.ucs4be = "utf32be"; Utf32Codec.prototype.encoder = Utf32Encoder; Utf32Codec.prototype.decoder = Utf32Decoder; function Utf32Encoder(options, codec) { this.isLE = codec.isLE; this.highSurrogate = 0; } Utf32Encoder.prototype.write = function(str) { var src = Buffer2.from(str, "ucs2"); var dst = Buffer2.alloc(src.length * 2); var write32 = this.isLE ? dst.writeUInt32LE : dst.writeUInt32BE; var offset = 0; for (var i = 0; i < src.length; i += 2) { var code = src.readUInt16LE(i); var isHighSurrogate = 55296 <= code && code < 56320; var isLowSurrogate = 56320 <= code && code < 57344; if (this.highSurrogate) { if (isHighSurrogate || !isLowSurrogate) { write32.call(dst, this.highSurrogate, offset); offset += 4; } else { var codepoint = (this.highSurrogate - 55296 << 10 | code - 56320) + 65536; write32.call(dst, codepoint, offset); offset += 4; this.highSurrogate = 0; continue; } } if (isHighSurrogate) this.highSurrogate = code; else { write32.call(dst, code, offset); offset += 4; this.highSurrogate = 0; } } if (offset < dst.length) dst = dst.slice(0, offset); return dst; }; Utf32Encoder.prototype.end = function() { if (!this.highSurrogate) return; var buf = Buffer2.alloc(4); if (this.isLE) buf.writeUInt32LE(this.highSurrogate, 0); else buf.writeUInt32BE(this.highSurrogate, 0); this.highSurrogate = 0; return buf; }; function Utf32Decoder(options, codec) { this.isLE = codec.isLE; this.badChar = codec.iconv.defaultCharUnicode.charCodeAt(0); this.overflow = null; } Utf32Decoder.prototype.write = function(src) { if (src.length === 0) return ""; if (this.overflow) src = Buffer2.concat([this.overflow, src]); var goodLength = src.length - src.length % 4; if (src.length !== goodLength) { this.overflow = src.slice(goodLength); src = src.slice(0, goodLength); } else this.overflow = null; var dst = Buffer2.alloc(goodLength); var offset = 0; for (var i = 0; i < goodLength; i += 4) { var codepoint = this.isLE ? src.readUInt32LE(i) : src.readUInt32BE(i); if (codepoint < 65536) { dst.writeUInt16LE(codepoint, offset); offset += 2; } else { if (codepoint > 1114111) { dst.writeUInt16LE(this.badChar, offset); offset += 2; } else { codepoint -= 65536; var high = 55296 | codepoint >> 10; var low = 56320 + (codepoint & 1023); dst.writeUInt16LE(high, offset); offset += 2; dst.writeUInt16LE(low, offset); offset += 2; } } } return dst.slice(0, offset).toString("ucs2"); }; Utf32Decoder.prototype.end = function() { this.overflow = null; }; exports2.utf32 = Utf32AutoCodec; exports2.ucs4 = Utf32AutoCodec; function Utf32AutoCodec(options, iconv) { this.iconv = iconv; } Utf32AutoCodec.prototype.encoder = Utf32AutoEncoder; Utf32AutoCodec.prototype.decoder = Utf32AutoDecoder; function Utf32AutoEncoder(options, codec) { options = options || {}; if (options.addBOM === void 0) options.addBOM = true; this.encoder = codec.iconv.getEncoder(options.defaultEncoding || "utf-32le", options); } Utf32AutoEncoder.prototype.write = function(str) { return this.encoder.write(str); }; Utf32AutoEncoder.prototype.end = function() { return this.encoder.end(); }; function Utf32AutoDecoder(options, codec) { this.decoder = null; this.initialBytes = []; this.initialBytesLen = 0; this.options = options || {}; this.iconv = codec.iconv; } Utf32AutoDecoder.prototype.write = function(buf) { if (!this.decoder) { this.initialBytes.push(buf); this.initialBytesLen += buf.length; if (this.initialBytesLen < 32) return ""; var buf2 = Buffer2.concat(this.initialBytes), encoding = detectEncoding(buf2, this.options.defaultEncoding); this.decoder = this.iconv.getDecoder(encoding, this.options); this.initialBytes.length = this.initialBytesLen = 0; } return this.decoder.write(buf); }; Utf32AutoDecoder.prototype.end = function() { if (!this.decoder) { var buf = Buffer2.concat(this.initialBytes), encoding = detectEncoding(buf, this.options.defaultEncoding); this.decoder = this.iconv.getDecoder(encoding, this.options); var res = this.decoder.write(buf), trail = this.decoder.end(); return trail ? res + trail : res; } return this.decoder.end(); }; function detectEncoding(buf, defaultEncoding) { var enc = defaultEncoding || "utf-32le"; if (buf.length >= 4) { if (buf.readUInt32BE(0) === 65279) enc = "utf-32be"; else if (buf.readUInt32LE(0) === 65279) enc = "utf-32le"; else { var invalidLE = 0, invalidBE = 0; var asciiCharsLE = 0, asciiCharsBE = 0, _len = Math.min(buf.length - buf.length % 4, 128); for (var i = 0; i < _len; i += 4) { var b0 = buf[i], b1 = buf[i + 1], b2 = buf[i + 2], b3 = buf[i + 3]; if (b0 !== 0 || b1 > 16) ++invalidBE; if (b3 !== 0 || b2 > 16) ++invalidLE; if (b0 === 0 && b1 === 0 && b2 === 0 && b3 !== 0) asciiCharsBE++; if (b0 !== 0 && b1 === 0 && b2 === 0 && b3 === 0) asciiCharsLE++; } if (invalidBE < invalidLE) enc = "utf-32be"; else if (invalidLE < invalidBE) enc = "utf-32le"; if (asciiCharsBE > asciiCharsLE) enc = "utf-32be"; else if (asciiCharsBE < asciiCharsLE) enc = "utf-32le"; } } return enc; } } }); var require_utf16 = __commonJS({ "node_modules/iconv-lite/encodings/utf16.js"(exports2) { "use strict"; var Buffer2 = require_safer().Buffer; exports2.utf16be = Utf16BECodec; function Utf16BECodec() { } Utf16BECodec.prototype.encoder = Utf16BEEncoder; Utf16BECodec.prototype.decoder = Utf16BEDecoder; Utf16BECodec.prototype.bomAware = true; function Utf16BEEncoder() { } Utf16BEEncoder.prototype.write = function(str) { var buf = Buffer2.from(str, "ucs2"); for (var i = 0; i < buf.length; i += 2) { var tmp = buf[i]; buf[i] = buf[i + 1]; buf[i + 1] = tmp; } return buf; }; Utf16BEEncoder.prototype.end = function() { }; function Utf16BEDecoder() { this.overflowByte = -1; } Utf16BEDecoder.prototype.write = function(buf) { if (buf.length == 0) return ""; var buf2 = Buffer2.alloc(buf.length + 1), i = 0, j = 0; if (this.overflowByte !== -1) { buf2[0] = buf[0]; buf2[1] = this.overflowByte; i = 1; j = 2; } for (; i < buf.length - 1; i += 2, j += 2) { buf2[j] = buf[i + 1]; buf2[j + 1] = buf[i]; } this.overflowByte = i == buf.length - 1 ? buf[buf.length - 1] : -1; return buf2.slice(0, j).toString("ucs2"); }; Utf16BEDecoder.prototype.end = function() { }; exports2.utf16 = Utf16Codec; function Utf16Codec(codecOptions, iconv) { this.iconv = iconv; } Utf16Codec.prototype.encoder = Utf16Encoder; Utf16Codec.prototype.decoder = Utf16Decoder; function Utf16Encoder(options, codec) { options = options || {}; if (options.addBOM === void 0) options.addBOM = true; this.encoder = codec.iconv.getEncoder("utf-16le", options); } Utf16Encoder.prototype.write = function(str) { return this.encoder.write(str); }; Utf16Encoder.prototype.end = function() { return this.encoder.end(); }; function Utf16Decoder(options, codec) { this.decoder = null; this.initialBytes = []; this.initialBytesLen = 0; this.options = options || {}; this.iconv = codec.iconv; } Utf16Decoder.prototype.write = function(buf) { if (!this.decoder) { this.initialBytes.push(buf); this.initialBytesLen += buf.length; if (this.initialBytesLen < 16) return ""; var buf = Buffer2.concat(this.initialBytes), encoding = detectEncoding(buf, this.options.defaultEncoding); this.decoder = this.iconv.getDecoder(encoding, this.options); this.initialBytes.length = this.initialBytesLen = 0; } return this.decoder.write(buf); }; Utf16Decoder.prototype.end = function() { if (!this.decoder) { var buf = Buffer2.concat(this.initialBytes), encoding = detectEncoding(buf, this.options.defaultEncoding); this.decoder = this.iconv.getDecoder(encoding, this.options); var res = this.decoder.write(buf), trail = this.decoder.end(); return trail ? res + trail : res; } return this.decoder.end(); }; function detectEncoding(buf, defaultEncoding) { var enc = defaultEncoding || "utf-16le"; if (buf.length >= 2) { if (buf[0] == 254 && buf[1] == 255) enc = "utf-16be"; else if (buf[0] == 255 && buf[1] == 254) enc = "utf-16le"; else { var asciiCharsLE = 0, asciiCharsBE = 0, _len = Math.min(buf.length - buf.length % 2, 64); for (var i = 0; i < _len; i += 2) { if (buf[i] === 0 && buf[i + 1] !== 0) asciiCharsBE++; if (buf[i] !== 0 && buf[i + 1] === 0) asciiCharsLE++; } if (asciiCharsBE > asciiCharsLE) enc = "utf-16be"; else if (asciiCharsBE < asciiCharsLE) enc = "utf-16le"; } } return enc; } } }); var require_utf7 = __commonJS({ "node_modules/iconv-lite/encodings/utf7.js"(exports2) { "use strict"; var Buffer2 = require_safer().Buffer; exports2.utf7 = Utf7Codec; exports2.unicode11utf7 = "utf7"; function Utf7Codec(codecOptions, iconv) { this.iconv = iconv; } Utf7Codec.prototype.encoder = Utf7Encoder; Utf7Codec.prototype.decoder = Utf7Decoder; Utf7Codec.prototype.bomAware = true; var nonDirectChars = /[^A-Za-z0-9'\(\),-\.\/:\? \n\r\t]+/g; function Utf7Encoder(options, codec) { this.iconv = codec.iconv; } Utf7Encoder.prototype.write = function(str) { return Buffer2.from(str.replace(nonDirectChars, function(chunk) { return "+" + (chunk === "+" ? "" : this.iconv.encode(chunk, "utf16-be").toString("base64").replace(/=+$/, "")) + "-"; }.bind(this))); }; Utf7Encoder.prototype.end = function() { }; function Utf7Decoder(options, codec) { this.iconv = codec.iconv; this.inBase64 = false; this.base64Accum = ""; } var base64Regex = /[A-Za-z0-9\/+]/; var base64Chars = []; for (i = 0; i < 256; i++) base64Chars[i] = base64Regex.test(String.fromCharCode(i)); var i; var plusChar = "+".charCodeAt(0); var minusChar = "-".charCodeAt(0); var andChar = "&".charCodeAt(0); Utf7Decoder.prototype.write = function(buf) { var res = "", lastI = 0, inBase64 = this.inBase64, base64Accum = this.base64Accum; for (var i2 = 0; i2 < buf.length; i2++) { if (!inBase64) { if (buf[i2] == plusChar) { res += this.iconv.decode(buf.slice(lastI, i2), "ascii"); lastI = i2 + 1; inBase64 = true; } } else { if (!base64Chars[buf[i2]]) { if (i2 == lastI && buf[i2] == minusChar) { res += "+"; } else { var b64str = base64Accum + buf.slice(lastI, i2).toString(); res += this.iconv.decode(Buffer2.from(b64str, "base64"), "utf16-be"); } if (buf[i2] != minusChar) i2--; lastI = i2 + 1; inBase64 = false; base64Accum = ""; } } } if (!inBase64) { res += this.iconv.decode(buf.slice(lastI), "ascii"); } else { var b64str = base64Accum + buf.slice(lastI).toString(); var canBeDecoded = b64str.length - b64str.length % 8; base64Accum = b64str.slice(canBeDecoded); b64str = b64str.slice(0, canBeDecoded); res += this.iconv.decode(Buffer2.from(b64str, "base64"), "utf16-be"); } this.inBase64 = inBase64; this.base64Accum = base64Accum; return res; }; Utf7Decoder.prototype.end = function() { var res = ""; if (this.inBase64 && this.base64Accum.length > 0) res = this.iconv.decode(Buffer2.from(this.base64Accum, "base64"), "utf16-be"); this.inBase64 = false; this.base64Accum = ""; return res; }; exports2.utf7imap = Utf7IMAPCodec; function Utf7IMAPCodec(codecOptions, iconv) { this.iconv = iconv; } Utf7IMAPCodec.prototype.encoder = Utf7IMAPEncoder; Utf7IMAPCodec.prototype.decoder = Utf7IMAPDecoder; Utf7IMAPCodec.prototype.bomAware = true; function Utf7IMAPEncoder(options, codec) { this.iconv = codec.iconv; this.inBase64 = false; this.base64Accum = Buffer2.alloc(6); this.base64AccumIdx = 0; } Utf7IMAPEncoder.prototype.write = function(str) { var inBase64 = this.inBase64, base64Accum = this.base64Accum, base64AccumIdx = this.base64AccumIdx, buf = Buffer2.alloc(str.length * 5 + 10), bufIdx = 0; for (var i2 = 0; i2 < str.length; i2++) { var uChar = str.charCodeAt(i2); if (32 <= uChar && uChar <= 126) { if (inBase64) { if (base64AccumIdx > 0) { bufIdx += buf.write(base64Accum.slice(0, base64AccumIdx).toString("base64").replace(/\//g, ",").replace(/=+$/, ""), bufIdx); base64AccumIdx = 0; } buf[bufIdx++] = minusChar; inBase64 = false; } if (!inBase64) { buf[bufIdx++] = uChar; if (uChar === andChar) buf[bufIdx++] = minusChar; } } else { if (!inBase64) { buf[bufIdx++] = andChar; inBase64 = true; } if (inBase64) { base64Accum[base64AccumIdx++] = uChar >> 8; base64Accum[base64AccumIdx++] = uChar & 255; if (base64AccumIdx == base64Accum.length) { bufIdx += buf.write(base64Accum.toString("base64").replace(/\//g, ","), bufIdx); base64AccumIdx = 0; } } } } this.inBase64 = inBase64; this.base64AccumIdx = base64AccumIdx; return buf.slice(0, bufIdx); }; Utf7IMAPEncoder.prototype.end = function() { var buf = Buffer2.alloc(10), bufIdx = 0; if (this.inBase64) { if (this.base64AccumIdx > 0) { bufIdx += buf.write(this.base64Accum.slice(0, this.base64AccumIdx).toString("base64").replace(/\//g, ",").replace(/=+$/, ""), bufIdx); this.base64AccumIdx = 0; } buf[bufIdx++] = minusChar; this.inBase64 = false; } return buf.slice(0, bufIdx); }; function Utf7IMAPDecoder(options, codec) { this.iconv = codec.iconv; this.inBase64 = false; this.base64Accum = ""; } var base64IMAPChars = base64Chars.slice(); base64IMAPChars[",".charCodeAt(0)] = true; Utf7IMAPDecoder.prototype.write = function(buf) { var res = "", lastI = 0, inBase64 = this.inBase64, base64Accum = this.base64Accum; for (var i2 = 0; i2 < buf.length; i2++) { if (!inBase64) { if (buf[i2] == andChar) { res += this.iconv.decode(buf.slice(lastI, i2), "ascii"); lastI = i2 + 1; inBase64 = true; } } else { if (!base64IMAPChars[buf[i2]]) { if (i2 == lastI && buf[i2] == minusChar) { res += "&"; } else { var b64str = base64Accum + buf.slice(lastI, i2).toString().replace(/,/g, "/"); res += this.iconv.decode(Buffer2.from(b64str, "base64"), "utf16-be"); } if (buf[i2] != minusChar) i2--; lastI = i2 + 1; inBase64 = false; base64Accum = ""; } } } if (!inBase64) { res += this.iconv.decode(buf.slice(lastI), "ascii"); } else { var b64str = base64Accum + buf.slice(lastI).toString().replace(/,/g, "/"); var canBeDecoded = b64str.length - b64str.length % 8; base64Accum = b64str.slice(canBeDecoded); b64str = b64str.slice(0, canBeDecoded); res += this.iconv.decode(Buffer2.from(b64str, "base64"), "utf16-be"); } this.inBase64 = inBase64; this.base64Accum = base64Accum; return res; }; Utf7IMAPDecoder.prototype.end = function() { var res = ""; if (this.inBase64 && this.base64Accum.length > 0) res = this.iconv.decode(Buffer2.from(this.base64Accum, "base64"), "utf16-be"); this.inBase64 = false; this.base64Accum = ""; return res; }; } }); var require_sbcs_codec = __commonJS({ "node_modules/iconv-lite/encodings/sbcs-codec.js"(exports2) { "use strict"; var Buffer2 = require_safer().Buffer; exports2._sbcs = SBCSCodec; function SBCSCodec(codecOptions, iconv) { if (!codecOptions) throw new Error("SBCS codec is called without the data."); if (!codecOptions.chars || codecOptions.chars.length !== 128 && codecOptions.chars.length !== 256) throw new Error("Encoding '" + codecOptions.type + "' has incorrect 'chars' (must be of len 128 or 256)"); if (codecOptions.chars.length === 128) { var asciiString = ""; for (var i = 0; i < 128; i++) asciiString += String.fromCharCode(i); codecOptions.chars = asciiString + codecOptions.chars; } this.decodeBuf = Buffer2.from(codecOptions.chars, "ucs2"); var encodeBuf = Buffer2.alloc(65536, iconv.defaultCharSingleByte.charCodeAt(0)); for (var i = 0; i < codecOptions.chars.length; i++) encodeBuf[codecOptions.chars.charCodeAt(i)] = i; this.encodeBuf = encodeBuf; } SBCSCodec.prototype.encoder = SBCSEncoder; SBCSCodec.prototype.decoder = SBCSDecoder; function SBCSEncoder(options, codec) { this.encodeBuf = codec.encodeBuf; } SBCSEncoder.prototype.write = function(str) { var buf = Buffer2.alloc(str.length); for (var i = 0; i < str.length; i++) buf[i] = this.encodeBuf[str.charCodeAt(i)]; return buf; }; SBCSEncoder.prototype.end = function() { }; function SBCSDecoder(options, codec) { this.decodeBuf = codec.decodeBuf; } SBCSDecoder.prototype.write = function(buf) { var decodeBuf = this.decodeBuf; var newBuf = Buffer2.alloc(buf.length * 2); var idx1 = 0, idx2 = 0; for (var i = 0; i < buf.length; i++) { idx1 = buf[i] * 2; idx2 = i * 2; newBuf[idx2] = decodeBuf[idx1]; newBuf[idx2 + 1] = decodeBuf[idx1 + 1]; } return newBuf.toString("ucs2"); }; SBCSDecoder.prototype.end = function() { }; } }); var require_sbcs_data = __commonJS({ "node_modules/iconv-lite/encodings/sbcs-data.js"(exports2, module2) { "use strict"; module2.exports = { "10029": "maccenteuro", "maccenteuro": { "type": "_sbcs", "chars": "\xC4\u0100\u0101\xC9\u0104\xD6\xDC\xE1\u0105\u010C\xE4\u010D\u0106\u0107\xE9\u0179\u017A\u010E\xED\u010F\u0112\u0113\u0116\xF3\u0117\xF4\xF6\xF5\xFA\u011A\u011B\xFC\u2020\xB0\u0118\xA3\xA7\u2022\xB6\xDF\xAE\xA9\u2122\u0119\xA8\u2260\u0123\u012E\u012F\u012A\u2264\u2265\u012B\u0136\u2202\u2211\u0142\u013B\u013C\u013D\u013E\u0139\u013A\u0145\u0146\u0143\xAC\u221A\u0144\u0147\u2206\xAB\xBB\u2026\xA0\u0148\u0150\xD5\u0151\u014C\u2013\u2014\u201C\u201D\u2018\u2019\xF7\u25CA\u014D\u0154\u0155\u0158\u2039\u203A\u0159\u0156\u0157\u0160\u201A\u201E\u0161\u015A\u015B\xC1\u0164\u0165\xCD\u017D\u017E\u016A\xD3\xD4\u016B\u016E\xDA\u016F\u0170\u0171\u0172\u0173\xDD\xFD\u0137\u017B\u0141\u017C\u0122\u02C7" }, "808": "cp808", "ibm808": "cp808", "cp808": { "type": "_sbcs", "chars": "\u0410\u0411\u0412\u0413\u0414\u0415\u0416\u0417\u0418\u0419\u041A\u041B\u041C\u041D\u041E\u041F\u0420\u0421\u0422\u0423\u0424\u0425\u0426\u0427\u0428\u0429\u042A\u042B\u042C\u042D\u042E\u042F\u0430\u0431\u0432\u0433\u0434\u0435\u0436\u0437\u0438\u0439\u043A\u043B\u043C\u043D\u043E\u043F\u2591\u2592\u2593\u2502\u2524\u2561\u2562\u2556\u2555\u2563\u2551\u2557\u255D\u255C\u255B\u2510\u2514\u2534\u252C\u251C\u2500\u253C\u255E\u255F\u255A\u2554\u2569\u2566\u2560\u2550\u256C\u2567\u2568\u2564\u2565\u2559\u2558\u2552\u2553\u256B\u256A\u2518\u250C\u2588\u2584\u258C\u2590\u2580\u0440\u0441\u0442\u0443\u0444\u0445\u0446\u0447\u0448\u0449\u044A\u044B\u044C\u044D\u044E\u044F\u0401\u0451\u0404\u0454\u0407\u0457\u040E\u045E\xB0\u2219\xB7\u221A\u2116\u20AC\u25A0\xA0" }, "mik": { "type": "_sbcs", "chars": "\u0410\u0411\u0412\u0413\u0414\u0415\u0416\u0417\u0418\u0419\u041A\u041B\u041C\u041D\u041E\u041F\u0420\u0421\u0422\u0423\u0424\u0425\u0426\u0427\u0428\u0429\u042A\u042B\u042C\u042D\u042E\u042F\u0430\u0431\u0432\u0433\u0434\u0435\u0436\u0437\u0438\u0439\u043A\u043B\u043C\u043D\u043E\u043F\u0440\u0441\u0442\u0443\u0444\u0445\u0446\u0447\u0448\u0449\u044A\u044B\u044C\u044D\u044E\u044F\u2514\u2534\u252C\u251C\u2500\u253C\u2563\u2551\u255A\u2554\u2569\u2566\u2560\u2550\u256C\u2510\u2591\u2592\u2593\u2502\u2524\u2116\xA7\u2557\u255D\u2518\u250C\u2588\u2584\u258C\u2590\u2580\u03B1\xDF\u0393\u03C0\u03A3\u03C3\xB5\u03C4\u03A6\u0398\u03A9\u03B4\u221E\u03C6\u03B5\u2229\u2261\xB1\u2265\u2264\u2320\u2321\xF7\u2248\xB0\u2219\xB7\u221A\u207F\xB2\u25A0\xA0" }, "cp720": { "type": "_sbcs", "chars": "\x80\x81\xE9\xE2\x84\xE0\x86\xE7\xEA\xEB\xE8\xEF\xEE\x8D\x8E\x8F\x90\u0651\u0652\xF4\xA4\u0640\xFB\xF9\u0621\u0622\u0623\u0624\xA3\u0625\u0626\u0627\u0628\u0629\u062A\u062B\u062C\u062D\u062E\u062F\u0630\u0631\u0632\u0633\u0634\u0635\xAB\xBB\u2591\u2592\u2593\u2502\u2524\u2561\u2562\u2556\u2555\u2563\u2551\u2557\u255D\u255C\u255B\u2510\u2514\u2534\u252C\u251C\u2500\u253C\u255E\u255F\u255A\u2554\u2569\u2566\u2560\u2550\u256C\u2567\u2568\u2564\u2565\u2559\u2558\u2552\u2553\u256B\u256A\u2518\u250C\u2588\u2584\u258C\u2590\u2580\u0636\u0637\u0638\u0639\u063A\u0641\xB5\u0642\u0643\u0644\u0645\u0646\u0647\u0648\u0649\u064A\u2261\u064B\u064C\u064D\u064E\u064F\u0650\u2248\xB0\u2219\xB7\u221A\u207F\xB2\u25A0\xA0" }, "ascii8bit": "ascii", "usascii": "ascii", "ansix34": "ascii", "ansix341968": "ascii", "ansix341986": "ascii", "csascii": "ascii", "cp367": "ascii", "ibm367": "ascii", "isoir6": "ascii", "iso646us": "ascii", "iso646irv": "ascii", "us": "ascii", "latin1": "iso88591", "latin2": "iso88592", "latin3": "iso88593", "latin4": "iso88594", "latin5": "iso88599", "latin6": "iso885910", "latin7": "iso885913", "latin8": "iso885914", "latin9": "iso885915", "latin10": "iso885916", "csisolatin1": "iso88591", "csisolatin2": "iso88592", "csisolatin3": "iso88593", "csisolatin4": "iso88594", "csisolatincyrillic": "iso88595", "csisolatinarabic": "iso88596", "csisolatingreek": "iso88597", "csisolatinhebrew": "iso88598", "csisolatin5": "iso88599", "csisolatin6": "iso885910", "l1": "iso88591", "l2": "iso88592", "l3": "iso88593", "l4": "iso88594", "l5": "iso88599", "l6": "iso885910", "l7": "iso885913", "l8": "iso885914", "l9": "iso885915", "l10": "iso885916", "isoir14": "iso646jp", "isoir57": "iso646cn", "isoir100": "iso88591", "isoir101": "iso88592", "isoir109": "iso88593", "isoir110": "iso88594", "isoir144": "iso88595", "isoir127": "iso88596", "isoir126": "iso88597", "isoir138": "iso88598", "isoir148": "iso88599", "isoir157": "iso885910", "isoir166": "tis620", "isoir179": "iso885913", "isoir199": "iso885914", "isoir203": "iso885915", "isoir226": "iso885916", "cp819": "iso88591", "ibm819": "iso88591", "cyrillic": "iso88595", "arabic": "iso88596", "arabic8": "iso88596", "ecma114": "iso88596", "asmo708": "iso88596", "greek": "iso88597", "greek8": "iso88597", "ecma118": "iso88597", "elot928": "iso88597", "hebrew": "iso88598", "hebrew8": "iso88598", "turkish": "iso88599", "turkish8": "iso88599", "thai": "iso885911", "thai8": "iso885911", "celtic": "iso885914", "celtic8": "iso885914", "isoceltic": "iso885914", "tis6200": "tis620", "tis62025291": "tis620", "tis62025330": "tis620", "10000": "macroman", "10006": "macgreek", "10007": "maccyrillic", "10079": "maciceland", "10081": "macturkish", "cspc8codepage437": "cp437", "cspc775baltic": "cp775", "cspc850multilingual": "cp850", "cspcp852": "cp852", "cspc862latinhebrew": "cp862", "cpgr": "cp869", "msee": "cp1250", "mscyrl": "cp1251", "msansi": "cp1252", "msgreek": "cp1253", "msturk": "cp1254", "mshebr": "cp1255", "msarab": "cp1256", "winbaltrim": "cp1257", "cp20866": "koi8r", "20866": "koi8r", "ibm878": "koi8r", "cskoi8r": "koi8r", "cp21866": "koi8u", "21866": "koi8u", "ibm1168": "koi8u", "strk10482002": "rk1048", "tcvn5712": "tcvn", "tcvn57121": "tcvn", "gb198880": "iso646cn", "cn": "iso646cn", "csiso14jisc6220ro": "iso646jp", "jisc62201969ro": "iso646jp", "jp": "iso646jp", "cshproman8": "hproman8", "r8": "hproman8", "roman8": "hproman8", "xroman8": "hproman8", "ibm1051": "hproman8", "mac": "macintosh", "csmacintosh": "macintosh" }; } }); var require_sbcs_data_generated = __commonJS({ "node_modules/iconv-lite/encodings/sbcs-data-generated.js"(exports2, module2) { "use strict"; module2.exports = { "437": "cp437", "737": "cp737", "775": "cp775", "850": "cp850", "852": "cp852", "855": "cp855", "856": "cp856", "857": "cp857", "858": "cp858", "860": "cp860", "861": "cp861", "862": "cp862", "863": "cp863", "864": "cp864", "865": "cp865", "866": "cp866", "869": "cp869", "874": "windows874", "922": "cp922", "1046": "cp1046", "1124": "cp1124", "1125": "cp1125", "1129": "cp1129", "1133": "cp1133", "1161": "cp1161", "1162": "cp1162", "1163": "cp1163", "1250": "windows1250", "1251": "windows1251", "1252": "windows1252", "1253": "windows1253", "1254": "windows1254", "1255": "windows1255", "1256": "windows1256", "1257": "windows1257", "1258": "windows1258", "28591": "iso88591", "28592": "iso88592", "28593": "iso88593", "28594": "iso88594", "28595": "iso88595", "28596": "iso88596", "28597": "iso88597", "28598": "iso88598", "28599": "iso88599", "28600": "iso885910", "28601": "iso885911", "28603": "iso885913", "28604": "iso885914", "28605": "iso885915", "28606": "iso885916", "windows874": { "type": "_sbcs", "chars": "\u20AC\uFFFD\uFFFD\uFFFD\uFFFD\u2026\uFFFD\uFFFD\uFFFD\uFFFD\uFFFD\uFFFD\uFFFD\uFFFD\uFFFD\uFFFD\uFFFD\u2018\u2019\u201C\u201D\u2022\u2013\u2014\uFFFD\uFFFD\uFFFD\uFFFD\uFFFD\uFFFD\uFFFD\uFFFD\xA0\u0E01\u0E02\u0E03\u0E04\u0E05\u0E06\u0E07\u0E08\u0E09\u0E0A\u0E0B\u0E0C\u0E0D\u0E0E\u0E0F\u0E10\u0E11\u0E12\u0E13\u0E14\u0E15\u0E16\u0E17\u0E18\u0E19\u0E1A\u0E1B\u0E1C\u0E1D\u0E1E\u0E1F\u0E20\u0E21\u0E22\u0E23\u0E24\u0E25\u0E26\u0E27\u0E28\u0E29\u0E2A\u0E2B\u0E2C\u0E2D\u0E2E\u0E2F\u0E30\u0E31\u0E32\u0E33\u0E34\u0E35\u0E36\u0E37\u0E38\u0E39\u0E3A\uFFFD\uFFFD\uFFFD\uFFFD\u0E3F\u0E40\u0E41\u0E42\u0E43\u0E44\u0E45\u0E46\u0E47\u0E48\u0E49\u0E4A\u0E4B\u0E4C\u0E4D\u0E4E\u0E4F\u0E50\u0E51\u0E52\u0E53\u0E54\u0E55\u0E56\u0E57\u0E58\u0E59\u0E5A\u0E5B\uFFFD\uFFFD\uFFFD\uFFFD" }, "win874": "windows874", "cp874": "windows874", "windows1250": { "type": "_sbcs", "chars": "\u20AC\uFFFD\u201A\uFFFD\u201E\u2026\u2020\u2021\uFFFD\u2030\u0160\u2039\u015A\u0164\u017D\u0179\uFFFD\u2018\u2019\u201C\u201D\u2022\u2013\u2014\uFFFD\u2122\u0161\u203A\u015B\u0165\u017E\u017A\xA0\u02C7\u02D8\u0141\xA4\u0104\xA6\xA7\xA8\xA9\u015E\xAB\xAC\xAD\xAE\u017B\xB0\xB1\u02DB\u0142\xB4\xB5\xB6\xB7\xB8\u0105\u015F\xBB\u013D\u02DD\u013E\u017C\u0154\xC1\xC2\u0102\xC4\u0139\u0106\xC7\u010C\xC9\u0118\xCB\u011A\xCD\xCE\u010E\u0110\u0143\u0147\xD3\xD4\u0150\xD6\xD7\u0158\u016E\xDA\u0170\xDC\xDD\u0162\xDF\u0155\xE1\xE2\u0103\xE4\u013A\u0107\xE7\u010D\xE9\u0119\xEB\u011B\xED\xEE\u010F\u0111\u0144\u0148\xF3\xF4\u0151\xF6\xF7\u0159\u016F\xFA\u0171\xFC\xFD\u0163\u02D9" }, "win1250": "windows1250", "cp1250": "windows1250", "windows1251": { "type": "_sbcs", "chars": "\u0402\u0403\u201A\u0453\u201E\u2026\u2020\u2021\u20AC\u2030\u0409\u2039\u040A\u040C\u040B\u040F\u0452\u2018\u2019\u201C\u201D\u2022\u2013\u2014\uFFFD\u2122\u0459\u203A\u045A\u045C\u045B\u045F\xA0\u040E\u045E\u0408\xA4\u0490\xA6\xA7\u0401\xA9\u0404\xAB\xAC\xAD\xAE\u0407\xB0\xB1\u0406\u0456\u0491\xB5\xB6\xB7\u0451\u2116\u0454\xBB\u0458\u0405\u0455\u0457\u0410\u0411\u0412\u0413\u0414\u0415\u0416\u0417\u0418\u0419\u041A\u041B\u041C\u041D\u041E\u041F\u0420\u0421\u0422\u0423\u0424\u0425\u0426\u0427\u0428\u0429\u042A\u042B\u042C\u042D\u042E\u042F\u0430\u0431\u0432\u0433\u0434\u0435\u0436\u0437\u0438\u0439\u043A\u043B\u043C\u043D\u043E\u043F\u0440\u0441\u0442\u0443\u0444\u0445\u0446\u0447\u0448\u0449\u044A\u044B\u044C\u044D\u044E\u044F" }, "win1251": "windows1251", "cp1251": "windows1251", "windows1252": { "type": "_sbcs", "chars": "\u20AC\uFFFD\u201A\u0192\u201E\u2026\u2020\u2021\u02C6\u2030\u0160\u2039\u0152\uFFFD\u017D\uFFFD\uFFFD\u2018\u2019\u201C\u201D\u2022\u2013\u2014\u02DC\u2122\u0161\u203A\u0153\uFFFD\u017E\u0178\xA0\xA1\xA2\xA3\xA4\xA5\xA6\xA7\xA8\xA9\xAA\xAB\xAC\xAD\xAE\xAF\xB0\xB1\xB2\xB3\xB4\xB5\xB6\xB7\xB8\xB9\xBA\xBB\xBC\xBD\xBE\xBF\xC0\xC1\xC2\xC3\xC4\xC5\xC6\xC7\xC8\xC9\xCA\xCB\xCC\xCD\xCE\xCF\xD0\xD1\xD2\xD3\xD4\xD5\xD6\xD7\xD8\xD9\xDA\xDB\xDC\xDD\xDE\xDF\xE0\xE1\xE2\xE3\xE4\xE5\xE6\xE7\xE8\xE9\xEA\xEB\xEC\xED\xEE\xEF\xF0\xF1\xF2\xF3\xF4\xF5\xF6\xF7\xF8\xF9\xFA\xFB\xFC\xFD\xFE\xFF" }, "win1252": "windows1252", "cp1252": "windows1252", "windows1253": { "type": "_sbcs", "chars": "\u20AC\uFFFD\u201A\u0192\u201E\u2026\u2020\u2021\uFFFD\u2030\uFFFD\u2039\uFFFD\uFFFD\uFFFD\uFFFD\uFFFD\u2018\u2019\u201C\u201D\u2022\u2013\u2014\uFFFD\u2122\uFFFD\u203A\uFFFD\uFFFD\uFFFD\uFFFD\xA0\u0385\u0386\xA3\xA4\xA5\xA6\xA7\xA8\xA9\uFFFD\xAB\xAC\xAD\xAE\u2015\xB0\xB1\xB2\xB3\u0384\xB5\xB6\xB7\u0388\u0389\u038A\xBB\u038C\xBD\u038E\u038F\u0390\u0391\u0392\u0393\u0394\u0395\u0396\u0397\u0398\u0399\u039A\u039B\u039C\u039D\u039E\u039F\u03A0\u03A1\uFFFD\u03A3\u03A4\u03A5\u03A6\u03A7\u03A8\u03A9\u03AA\u03AB\u03AC\u03AD\u03AE\u03AF\u03B0\u03B1\u03B2\u03B3\u03B4\u03B5\u03B6\u03B7\u03B8\u03B9\u03BA\u03BB\u03BC\u03BD\u03BE\u03BF\u03C0\u03C1\u03C2\u03C3\u03C4\u03C5\u03C6\u03C7\u03C8\u03C9\u03CA\u03CB\u03CC\u03CD\u03CE\uFFFD" }, "win1253": "windows1253", "cp1253": "windows1253", "windows1254": { "type": "_sbcs", "chars": "\u20AC\uFFFD\u201A\u0192\u201E\u2026\u2020\u2021\u02C6\u2030\u0160\u2039\u0152\uFFFD\uFFFD\uFFFD\uFFFD\u2018\u2019\u201C\u201D\u2022\u2013\u2014\u02DC\u2122\u0161\u203A\u0153\uFFFD\uFFFD\u0178\xA0\xA1\xA2\xA3\xA4\xA5\xA6\xA7\xA8\xA9\xAA\xAB\xAC\xAD\xAE\xAF\xB0\xB1\xB2\xB3\xB4\xB5\xB6\xB7\xB8\xB9\xBA\xBB\xBC\xBD\xBE\xBF\xC0\xC1\xC2\xC3\xC4\xC5\xC6\xC7\xC8\xC9\xCA\xCB\xCC\xCD\xCE\xCF\u011E\xD1\xD2\xD3\xD4\xD5\xD6\xD7\xD8\xD9\xDA\xDB\xDC\u0130\u015E\xDF\xE0\xE1\xE2\xE3\xE4\xE5\xE6\xE7\xE8\xE9\xEA\xEB\xEC\xED\xEE\xEF\u011F\xF1\xF2\xF3\xF4\xF5\xF6\xF7\xF8\xF9\xFA\xFB\xFC\u0131\u015F\xFF" }, "win1254": "windows1254", "cp1254": "windows1254", "windows1255": { "type": "_sbcs", "chars": "\u20AC\uFFFD\u201A\u0192\u201E\u2026\u2020\u2021\u02C6\u2030\uFFFD\u2039\uFFFD\uFFFD\uFFFD\uFFFD\uFFFD\u2018\u2019\u201C\u201D\u2022\u2013\u2014\u02DC\u2122\uFFFD\u203A\uFFFD\uFFFD\uFFFD\uFFFD\xA0\xA1\xA2\xA3\u20AA\xA5\xA6\xA7\xA8\xA9\xD7\xAB\xAC\xAD\xAE\xAF\xB0\xB1\xB2\xB3\xB4\xB5\xB6\xB7\xB8\xB9\xF7\xBB\xBC\xBD\xBE\xBF\u05B0\u05B1\u05B2\u05B3\u05B4\u05B5\u05B6\u05B7\u05B8\u05B9\u05BA\u05BB\u05BC\u05BD\u05BE\u05BF\u05C0\u05C1\u05C2\u05C3\u05F0\u05F1\u05F2\u05F3\u05F4\uFFFD\uFFFD\uFFFD\uFFFD\uFFFD\uFFFD\uFFFD\u05D0\u05D1\u05D2\u05D3\u05D4\u05D5\u05D6\u05D7\u05D8\u05D9\u05DA\u05DB\u05DC\u05DD\u05DE\u05DF\u05E0\u05E1\u05E2\u05E3\u05E4\u05E5\u05E6\u05E7\u05E8\u05E9\u05EA\uFFFD\uFFFD\u200E\u200F\uFFFD" }, "win1255": "windows1255", "cp1255": "windows1255", "windows1256": { "type": "_sbcs", "chars": "\u20AC\u067E\u201A\u0192\u201E\u2026\u2020\u2021\u02C6\u2030\u0679\u2039\u0152\u0686\u0698\u0688\u06AF\u2018\u2019\u201C\u201D\u2022\u2013\u2014\u06A9\u2122\u0691\u203A\u0153\u200C\u200D\u06BA\xA0\u060C\xA2\xA3\xA4\xA5\xA6\xA7\xA8\xA9\u06BE\xAB\xAC\xAD\xAE\xAF\xB0\xB1\xB2\xB3\xB4\xB5\xB6\xB7\xB8\xB9\u061B\xBB\xBC\xBD\xBE\u061F\u06C1\u0621\u0622\u0623\u0624\u0625\u0626\u0627\u0628\u0629\u062A\u062B\u062C\u062D\u062E\u062F\u0630\u0631\u0632\u0633\u0634\u0635\u0636\xD7\u0637\u0638\u0639\u063A\u0640\u0641\u0642\u0643\xE0\u0644\xE2\u0645\u0646\u0647\u0648\xE7\xE8\xE9\xEA\xEB\u0649\u064A\xEE\xEF\u064B\u064C\u064D\u064E\xF4\u064F\u0650\xF7\u0651\xF9\u0652\xFB\xFC\u200E\u200F\u06D2" }, "win1256": "windows1256", "cp1256": "windows1256", "windows1257": { "type": "_sbcs", "chars": "\u20AC\uFFFD\u201A\uFFFD\u201E\u2026\u2020\u2021\uFFFD\u2030\uFFFD\u2039\uFFFD\xA8\u02C7\xB8\uFFFD\u2018\u2019\u201C\u201D\u2022\u2013\u2014\uFFFD\u2122\uFFFD\u203A\uFFFD\xAF\u02DB\uFFFD\xA0\uFFFD\xA2\xA3\xA4\uFFFD\xA6\xA7\xD8\xA9\u0156\xAB\xAC\xAD\xAE\xC6\xB0\xB1\xB2\xB3\xB4\xB5\xB6\xB7\xF8\xB9\u0157\xBB\xBC\xBD\xBE\xE6\u0104\u012E\u0100\u0106\xC4\xC5\u0118\u0112\u010C\xC9\u0179\u0116\u0122\u0136\u012A\u013B\u0160\u0143\u0145\xD3\u014C\xD5\xD6\xD7\u0172\u0141\u015A\u016A\xDC\u017B\u017D\xDF\u0105\u012F\u0101\u0107\xE4\xE5\u0119\u0113\u010D\xE9\u017A\u0117\u0123\u0137\u012B\u013C\u0161\u0144\u0146\xF3\u014D\xF5\xF6\xF7\u0173\u0142\u015B\u016B\xFC\u017C\u017E\u02D9" }, "win1257": "windows1257", "cp1257": "windows1257", "windows1258": { "type": "_sbcs", "chars": "\u20AC\uFFFD\u201A\u0192\u201E\u2026\u2020\u2021\u02C6\u2030\uFFFD\u2039\u0152\uFFFD\uFFFD\uFFFD\uFFFD\u2018\u2019\u201C\u201D\u2022\u2013\u2014\u02DC\u2122\uFFFD\u203A\u0153\uFFFD\uFFFD\u0178\xA0\xA1\xA2\xA3\xA4\xA5\xA6\xA7\xA8\xA9\xAA\xAB\xAC\xAD\xAE\xAF\xB0\xB1\xB2\xB3\xB4\xB5\xB6\xB7\xB8\xB9\xBA\xBB\xBC\xBD\xBE\xBF\xC0\xC1\xC2\u0102\xC4\xC5\xC6\xC7\xC8\xC9\xCA\xCB\u0300\xCD\xCE\xCF\u0110\xD1\u0309\xD3\xD4\u01A0\xD6\xD7\xD8\xD9\xDA\xDB\xDC\u01AF\u0303\xDF\xE0\xE1\xE2\u0103\xE4\xE5\xE6\xE7\xE8\xE9\xEA\xEB\u0301\xED\xEE\xEF\u0111\xF1\u0323\xF3\xF4\u01A1\xF6\xF7\xF8\xF9\xFA\xFB\xFC\u01B0\u20AB\xFF" }, "win1258": "windows1258", "cp1258": "windows1258", "iso88591": { "type": "_sbcs", "chars": 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"\xC7\xFC\xE9\xE2\xE4\u016F\u0107\xE7\u0142\xEB\u0150\u0151\xEE\u0179\xC4\u0106\xC9\u0139\u013A\xF4\xF6\u013D\u013E\u015A\u015B\xD6\xDC\u0164\u0165\u0141\xD7\u010D\xE1\xED\xF3\xFA\u0104\u0105\u017D\u017E\u0118\u0119\xAC\u017A\u010C\u015F\xAB\xBB\u2591\u2592\u2593\u2502\u2524\xC1\xC2\u011A\u015E\u2563\u2551\u2557\u255D\u017B\u017C\u2510\u2514\u2534\u252C\u251C\u2500\u253C\u0102\u0103\u255A\u2554\u2569\u2566\u2560\u2550\u256C\xA4\u0111\u0110\u010E\xCB\u010F\u0147\xCD\xCE\u011B\u2518\u250C\u2588\u2584\u0162\u016E\u2580\xD3\xDF\xD4\u0143\u0144\u0148\u0160\u0161\u0154\xDA\u0155\u0170\xFD\xDD\u0163\xB4\xAD\u02DD\u02DB\u02C7\u02D8\xA7\xF7\xB8\xB0\xA8\u02D9\u0171\u0158\u0159\u25A0\xA0" }, "ibm852": "cp852", "csibm852": "cp852", "cp855": { "type": "_sbcs", "chars": 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"\xC7\xFC\xE9\xE2\xE4\xE0\xE5\xE7\xEA\xEB\xE8\xEF\xEE\xEC\xC4\xC5\xC9\xE6\xC6\xF4\xF6\xF2\xFB\xF9\xFF\xD6\xDC\xF8\xA3\xD8\xD7\u0192\xE1\xED\xF3\xFA\xF1\xD1\xAA\xBA\xBF\xAE\xAC\xBD\xBC\xA1\xAB\xBB\u2591\u2592\u2593\u2502\u2524\xC1\xC2\xC0\xA9\u2563\u2551\u2557\u255D\xA2\xA5\u2510\u2514\u2534\u252C\u251C\u2500\u253C\xE3\xC3\u255A\u2554\u2569\u2566\u2560\u2550\u256C\xA4\xF0\xD0\xCA\xCB\xC8\u20AC\xCD\xCE\xCF\u2518\u250C\u2588\u2584\xA6\xCC\u2580\xD3\xDF\xD4\xD2\xF5\xD5\xB5\xFE\xDE\xDA\xDB\xD9\xFD\xDD\xAF\xB4\xAD\xB1\u2017\xBE\xB6\xA7\xF7\xB8\xB0\xA8\xB7\xB9\xB3\xB2\u25A0\xA0" }, "ibm858": "cp858", "csibm858": "cp858", "cp860": { "type": "_sbcs", "chars": 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= -2; var SEQ_START = -10; var NODE_START = -1e3; var UNASSIGNED_NODE = new Array(256); var DEF_CHAR = -1; for (i = 0; i < 256; i++) UNASSIGNED_NODE[i] = UNASSIGNED; var i; function DBCSCodec(codecOptions, iconv) { this.encodingName = codecOptions.encodingName; if (!codecOptions) throw new Error("DBCS codec is called without the data."); if (!codecOptions.table) throw new Error("Encoding '" + this.encodingName + "' has no data."); var mappingTable = codecOptions.table(); this.decodeTables = []; this.decodeTables[0] = UNASSIGNED_NODE.slice(0); this.decodeTableSeq = []; for (var i2 = 0; i2 < mappingTable.length; i2++) this._addDecodeChunk(mappingTable[i2]); this.defaultCharUnicode = iconv.defaultCharUnicode; this.encodeTable = []; this.encodeTableSeq = []; var skipEncodeChars = {}; if (codecOptions.encodeSkipVals) for (var i2 = 0; i2 < codecOptions.encodeSkipVals.length; i2++) { var val = codecOptions.encodeSkipVals[i2]; if (typeof val === "number") skipEncodeChars[val] = true; else for (var j = val.from; j <= val.to; j++) skipEncodeChars[j] = true; } this._fillEncodeTable(0, 0, skipEncodeChars); if (codecOptions.encodeAdd) { for (var uChar in codecOptions.encodeAdd) if (Object.prototype.hasOwnProperty.call(codecOptions.encodeAdd, uChar)) this._setEncodeChar(uChar.charCodeAt(0), codecOptions.encodeAdd[uChar]); } this.defCharSB = this.encodeTable[0][iconv.defaultCharSingleByte.charCodeAt(0)]; if (this.defCharSB === UNASSIGNED) this.defCharSB = this.encodeTable[0]["?"]; if (this.defCharSB === UNASSIGNED) this.defCharSB = "?".charCodeAt(0); if (typeof codecOptions.gb18030 === "function") { this.gb18030 = codecOptions.gb18030(); var thirdByteNodeIdx = this.decodeTables.length; var thirdByteNode = this.decodeTables[thirdByteNodeIdx] = UNASSIGNED_NODE.slice(0); var fourthByteNodeIdx = this.decodeTables.length; var fourthByteNode = this.decodeTables[fourthByteNodeIdx] = UNASSIGNED_NODE.slice(0); for (var i2 = 129; i2 <= 254; i2++) { var secondByteNodeIdx = NODE_START - this.decodeTables[0][i2]; var secondByteNode = this.decodeTables[secondByteNodeIdx]; for (var j = 48; j <= 57; j++) secondByteNode[j] = NODE_START - thirdByteNodeIdx; } for (var i2 = 129; i2 <= 254; i2++) thirdByteNode[i2] = NODE_START - fourthByteNodeIdx; for (var i2 = 48; i2 <= 57; i2++) fourthByteNode[i2] = GB18030_CODE; } } DBCSCodec.prototype.encoder = DBCSEncoder; DBCSCodec.prototype.decoder = DBCSDecoder; DBCSCodec.prototype._getDecodeTrieNode = function(addr) { var bytes = []; for (; addr > 0; addr >>= 8) bytes.push(addr & 255); if (bytes.length == 0) bytes.push(0); var node = this.decodeTables[0]; for (var i2 = bytes.length - 1; i2 > 0; i2--) { var val = node[bytes[i2]]; if (val == UNASSIGNED) { node[bytes[i2]] = NODE_START - this.decodeTables.length; this.decodeTables.push(node = UNASSIGNED_NODE.slice(0)); } else if (val <= NODE_START) { node = this.decodeTables[NODE_START - val]; } else throw new Error("Overwrite byte in " + this.encodingName + ", addr: " + addr.toString(16)); } return node; }; DBCSCodec.prototype._addDecodeChunk = function(chunk) { var curAddr = parseInt(chunk[0], 16); var writeTable = this._getDecodeTrieNode(curAddr); curAddr = curAddr & 255; for (var k = 1; k < chunk.length; k++) { var part = chunk[k]; if (typeof part === "string") { for (var l = 0; l < part.length; ) { var code = part.charCodeAt(l++); if (55296 <= code && code < 56320) { var codeTrail = part.charCodeAt(l++); if (56320 <= codeTrail && codeTrail < 57344) writeTable[curAddr++] = 65536 + (code - 55296) * 1024 + (codeTrail - 56320); else throw new Error("Incorrect surrogate pair in " + this.encodingName + " at chunk " + chunk[0]); } else if (4080 < code && code <= 4095) { var len = 4095 - code + 2; var seq = []; for (var m = 0; m < len; m++) seq.push(part.charCodeAt(l++)); writeTable[curAddr++] = SEQ_START - this.decodeTableSeq.length; this.decodeTableSeq.push(seq); } else writeTable[curAddr++] = code; } } else if (typeof part === "number") { var charCode = writeTable[curAddr - 1] + 1; for (var l = 0; l < part; l++) writeTable[curAddr++] = charCode++; } else throw new Error("Incorrect type '" + typeof part + "' given in " + this.encodingName + " at chunk " + chunk[0]); } if (curAddr > 255) throw new Error("Incorrect chunk in " + this.encodingName + " at addr " + chunk[0] + ": too long" + curAddr); }; DBCSCodec.prototype._getEncodeBucket = function(uCode) { var high = uCode >> 8; if (this.encodeTable[high] === void 0) this.encodeTable[high] = UNASSIGNED_NODE.slice(0); return this.encodeTable[high]; }; DBCSCodec.prototype._setEncodeChar = function(uCode, dbcsCode) { var bucket = this._getEncodeBucket(uCode); var low = uCode & 255; if (bucket[low] <= SEQ_START) this.encodeTableSeq[SEQ_START - bucket[low]][DEF_CHAR] = dbcsCode; else if (bucket[low] == UNASSIGNED) bucket[low] = dbcsCode; }; DBCSCodec.prototype._setEncodeSequence = function(seq, dbcsCode) { var uCode = seq[0]; var bucket = this._getEncodeBucket(uCode); var low = uCode & 255; var node; if (bucket[low] <= SEQ_START) { node = this.encodeTableSeq[SEQ_START - bucket[low]]; } else { node = {}; if (bucket[low] !== UNASSIGNED) node[DEF_CHAR] = bucket[low]; bucket[low] = SEQ_START - this.encodeTableSeq.length; this.encodeTableSeq.push(node); } for (var j = 1; j < seq.length - 1; j++) { var oldVal = node[uCode]; if (typeof oldVal === "object") node = oldVal; else { node = node[uCode] = {}; if (oldVal !== void 0) node[DEF_CHAR] = oldVal; } } uCode = seq[seq.length - 1]; node[uCode] = dbcsCode; }; DBCSCodec.prototype._fillEncodeTable = function(nodeIdx, prefix, skipEncodeChars) { var node = this.decodeTables[nodeIdx]; for (var i2 = 0; i2 < 256; i2++) { var uCode = node[i2]; var mbCode = prefix + i2; if (skipEncodeChars[mbCode]) continue; if (uCode >= 0) this._setEncodeChar(uCode, mbCode); else if (uCode <= NODE_START) this._fillEncodeTable(NODE_START - uCode, mbCode << 8, skipEncodeChars); else if (uCode <= SEQ_START) this._setEncodeSequence(this.decodeTableSeq[SEQ_START - uCode], mbCode); } }; function DBCSEncoder(options, codec) { this.leadSurrogate = -1; this.seqObj = void 0; this.encodeTable = codec.encodeTable; this.encodeTableSeq = codec.encodeTableSeq; this.defaultCharSingleByte = codec.defCharSB; this.gb18030 = codec.gb18030; } DBCSEncoder.prototype.write = function(str) { var newBuf = Buffer2.alloc(str.length * (this.gb18030 ? 4 : 3)), leadSurrogate = this.leadSurrogate, seqObj = this.seqObj, nextChar = -1, i2 = 0, j = 0; while (true) { if (nextChar === -1) { if (i2 == str.length) break; var uCode = str.charCodeAt(i2++); } else { var uCode = nextChar; nextChar = -1; } if (55296 <= uCode && uCode < 57344) { if (uCode < 56320) { if (leadSurrogate === -1) { leadSurrogate = uCode; continue; } else { leadSurrogate = uCode; uCode = UNASSIGNED; } } else { if (leadSurrogate !== -1) { uCode = 65536 + (leadSurrogate - 55296) * 1024 + (uCode - 56320); leadSurrogate = -1; } else { uCode = UNASSIGNED; } } } else if (leadSurrogate !== -1) { nextChar = uCode; uCode = UNASSIGNED; leadSurrogate = -1; } var dbcsCode = UNASSIGNED; if (seqObj !== void 0 && uCode != UNASSIGNED) { var resCode = seqObj[uCode]; if (typeof resCode === "object") { seqObj = resCode; continue; } else if (typeof resCode == "number") { dbcsCode = resCode; } else if (resCode == void 0) { resCode = seqObj[DEF_CHAR]; if (resCode !== void 0) { dbcsCode = resCode; nextChar = uCode; } else { } } seqObj = void 0; } else if (uCode >= 0) { var subtable = this.encodeTable[uCode >> 8]; if (subtable !== void 0) dbcsCode = subtable[uCode & 255]; if (dbcsCode <= SEQ_START) { seqObj = this.encodeTableSeq[SEQ_START - dbcsCode]; continue; } if (dbcsCode == UNASSIGNED && this.gb18030) { var idx = findIdx(this.gb18030.uChars, uCode); if (idx != -1) { var dbcsCode = this.gb18030.gbChars[idx] + (uCode - this.gb18030.uChars[idx]); newBuf[j++] = 129 + Math.floor(dbcsCode / 12600); dbcsCode = dbcsCode % 12600; newBuf[j++] = 48 + Math.floor(dbcsCode / 1260); dbcsCode = dbcsCode % 1260; newBuf[j++] = 129 + Math.floor(dbcsCode / 10); dbcsCode = dbcsCode % 10; newBuf[j++] = 48 + dbcsCode; continue; } } } if (dbcsCode === UNASSIGNED) dbcsCode = this.defaultCharSingleByte; if (dbcsCode < 256) { newBuf[j++] = dbcsCode; } else if (dbcsCode < 65536) { newBuf[j++] = dbcsCode >> 8; newBuf[j++] = dbcsCode & 255; } else { newBuf[j++] = dbcsCode >> 16; newBuf[j++] = dbcsCode >> 8 & 255; newBuf[j++] = dbcsCode & 255; } } this.seqObj = seqObj; this.leadSurrogate = leadSurrogate; return newBuf.slice(0, j); }; DBCSEncoder.prototype.end = function() { if (this.leadSurrogate === -1 && this.seqObj === void 0) return; var newBuf = Buffer2.alloc(10), j = 0; if (this.seqObj) { var dbcsCode = this.seqObj[DEF_CHAR]; if (dbcsCode !== void 0) { if (dbcsCode < 256) { newBuf[j++] = dbcsCode; } else { newBuf[j++] = dbcsCode >> 8; newBuf[j++] = dbcsCode & 255; } } else { } this.seqObj = void 0; } if (this.leadSurrogate !== -1) { newBuf[j++] = this.defaultCharSingleByte; this.leadSurrogate = -1; } return newBuf.slice(0, j); }; DBCSEncoder.prototype.findIdx = findIdx; function DBCSDecoder(options, codec) { this.nodeIdx = 0; this.prevBuf = Buffer2.alloc(0); this.decodeTables = codec.decodeTables; this.decodeTableSeq = codec.decodeTableSeq; this.defaultCharUnicode = codec.defaultCharUnicode; this.gb18030 = codec.gb18030; } DBCSDecoder.prototype.write = function(buf) { var newBuf = Buffer2.alloc(buf.length * 2), nodeIdx = this.nodeIdx, prevBuf = this.prevBuf, prevBufOffset = this.prevBuf.length, seqStart = -this.prevBuf.length, uCode; if (prevBufOffset > 0) prevBuf = Buffer2.concat([prevBuf, buf.slice(0, 10)]); for (var i2 = 0, j = 0; i2 < buf.length; i2++) { var curByte = i2 >= 0 ? buf[i2] : prevBuf[i2 + prevBufOffset]; var uCode = this.decodeTables[nodeIdx][curByte]; if (uCode >= 0) { } else if (uCode === UNASSIGNED) { i2 = seqStart; uCode = this.defaultCharUnicode.charCodeAt(0); } else if (uCode === GB18030_CODE) { var curSeq = seqStart >= 0 ? buf.slice(seqStart, i2 + 1) : prevBuf.slice(seqStart + prevBufOffset, i2 + 1 + prevBufOffset); var ptr = (curSeq[0] - 129) * 12600 + (curSeq[1] - 48) * 1260 + (curSeq[2] - 129) * 10 + (curSeq[3] - 48); var idx = findIdx(this.gb18030.gbChars, ptr); uCode = this.gb18030.uChars[idx] + ptr - this.gb18030.gbChars[idx]; } else if (uCode <= NODE_START) { nodeIdx = NODE_START - uCode; continue; } else if (uCode <= SEQ_START) { var seq = this.decodeTableSeq[SEQ_START - uCode]; for (var k = 0; k < seq.length - 1; k++) { uCode = seq[k]; newBuf[j++] = uCode & 255; newBuf[j++] = uCode >> 8; } uCode = seq[seq.length - 1]; } else throw new Error("iconv-lite internal error: invalid decoding table value " + uCode + " at " + nodeIdx + "/" + curByte); if (uCode > 65535) { uCode -= 65536; var uCodeLead = 55296 + Math.floor(uCode / 1024); newBuf[j++] = uCodeLead & 255; newBuf[j++] = uCodeLead >> 8; uCode = 56320 + uCode % 1024; } newBuf[j++] = uCode & 255; newBuf[j++] = uCode >> 8; nodeIdx = 0; seqStart = i2 + 1; } this.nodeIdx = nodeIdx; this.prevBuf = seqStart >= 0 ? buf.slice(seqStart) : prevBuf.slice(seqStart + prevBufOffset); return newBuf.slice(0, j).toString("ucs2"); }; DBCSDecoder.prototype.end = function() { var ret = ""; while (this.prevBuf.length > 0) { ret += this.defaultCharUnicode; var buf = this.prevBuf.slice(1); this.prevBuf = Buffer2.alloc(0); this.nodeIdx = 0; if (buf.length > 0) ret += this.write(buf); } this.nodeIdx = 0; return ret; }; function findIdx(table, val) { if (table[0] > val) return -1; var l = 0, r = table.length; while (l < r - 1) { var mid = l + Math.floor((r - l + 1) / 2); if (table[mid] <= val) l = mid; else r = mid; } return l; } } }); var require_shiftjis = __commonJS({ "node_modules/iconv-lite/encodings/tables/shiftjis.json"(exports2, module2) { module2.exports = [ ["0", "\0", 128], ["a1", "\uFF61", 62], ["8140", "\u3000\u3001\u3002\uFF0C\uFF0E\u30FB\uFF1A\uFF1B\uFF1F\uFF01\u309B\u309C\xB4\uFF40\xA8\uFF3E\uFFE3\uFF3F\u30FD\u30FE\u309D\u309E\u3003\u4EDD\u3005\u3006\u3007\u30FC\u2015\u2010\uFF0F\uFF3C\uFF5E\u2225\uFF5C\u2026\u2025\u2018\u2019\u201C\u201D\uFF08\uFF09\u3014\u3015\uFF3B\uFF3D\uFF5B\uFF5D\u3008", 9, "\uFF0B\uFF0D\xB1\xD7"], ["8180", "\xF7\uFF1D\u2260\uFF1C\uFF1E\u2266\u2267\u221E\u2234\u2642\u2640\xB0\u2032\u2033\u2103\uFFE5\uFF04\uFFE0\uFFE1\uFF05\uFF03\uFF06\uFF0A\uFF20\xA7\u2606\u2605\u25CB\u25CF\u25CE\u25C7\u25C6\u25A1\u25A0\u25B3\u25B2\u25BD\u25BC\u203B\u3012\u2192\u2190\u2191\u2193\u3013"], ["81b8", "\u2208\u220B\u2286\u2287\u2282\u2283\u222A\u2229"], ["81c8", "\u2227\u2228\uFFE2\u21D2\u21D4\u2200\u2203"], ["81da", "\u2220\u22A5\u2312\u2202\u2207\u2261\u2252\u226A\u226B\u221A\u223D\u221D\u2235\u222B\u222C"], ["81f0", "\u212B\u2030\u266F\u266D\u266A\u2020\u2021\xB6"], ["81fc", "\u25EF"], ["824f", "\uFF10", 9], ["8260", "\uFF21", 25], ["8281", "\uFF41", 25], ["829f", "\u3041", 82], ["8340", "\u30A1", 62], ["8380", "\u30E0", 22], ["839f", "\u0391", 16, "\u03A3", 6], ["83bf", "\u03B1", 16, "\u03C3", 6], ["8440", "\u0410", 5, "\u0401\u0416", 25], ["8470", "\u0430", 5, "\u0451\u0436", 7], ["8480", "\u043E", 17], ["849f", "\u2500\u2502\u250C\u2510\u2518\u2514\u251C\u252C\u2524\u2534\u253C\u2501\u2503\u250F\u2513\u251B\u2517\u2523\u2533\u252B\u253B\u254B\u2520\u252F\u2528\u2537\u253F\u251D\u2530\u2525\u2538\u2542"], ["8740", "\u2460", 19, "\u2160", 9], ["875f", "\u3349\u3314\u3322\u334D\u3318\u3327\u3303\u3336\u3351\u3357\u330D\u3326\u3323\u332B\u334A\u333B\u339C\u339D\u339E\u338E\u338F\u33C4\u33A1"], ["877e", "\u337B"], ["8780", "\u301D\u301F\u2116\u33CD\u2121\u32A4", 4, "\u3231\u3232\u3239\u337E\u337D\u337C\u2252\u2261\u222B\u222E\u2211\u221A\u22A5\u2220\u221F\u22BF\u2235\u2229\u222A"], ["889f", "\u4E9C\u5516\u5A03\u963F\u54C0\u611B\u6328\u59F6\u9022\u8475\u831C\u7A50\u60AA\u63E1\u6E25\u65ED\u8466\u82A6\u9BF5\u6893\u5727\u65A1\u6271\u5B9B\u59D0\u867B\u98F4\u7D62\u7DBE\u9B8E\u6216\u7C9F\u88B7\u5B89\u5EB5\u6309\u6697\u6848\u95C7\u978D\u674F\u4EE5\u4F0A\u4F4D\u4F9D\u5049\u56F2\u5937\u59D4\u5A01\u5C09\u60DF\u610F\u6170\u6613\u6905\u70BA\u754F\u7570\u79FB\u7DAD\u7DEF\u80C3\u840E\u8863\u8B02\u9055\u907A\u533B\u4E95\u4EA5\u57DF\u80B2\u90C1\u78EF\u4E00\u58F1\u6EA2\u9038\u7A32\u8328\u828B\u9C2F\u5141\u5370\u54BD\u54E1\u56E0\u59FB\u5F15\u98F2\u6DEB\u80E4\u852D"], ["8940", "\u9662\u9670\u96A0\u97FB\u540B\u53F3\u5B87\u70CF\u7FBD\u8FC2\u96E8\u536F\u9D5C\u7ABA\u4E11\u7893\u81FC\u6E26\u5618\u5504\u6B1D\u851A\u9C3B\u59E5\u53A9\u6D66\u74DC\u958F\u5642\u4E91\u904B\u96F2\u834F\u990C\u53E1\u55B6\u5B30\u5F71\u6620\u66F3\u6804\u6C38\u6CF3\u6D29\u745B\u76C8\u7A4E\u9834\u82F1\u885B\u8A60\u92ED\u6DB2\u75AB\u76CA\u99C5\u60A6\u8B01\u8D8A\u95B2\u698E\u53AD\u5186"], ["8980", "\u5712\u5830\u5944\u5BB4\u5EF6\u6028\u63A9\u63F4\u6CBF\u6F14\u708E\u7114\u7159\u71D5\u733F\u7E01\u8276\u82D1\u8597\u9060\u925B\u9D1B\u5869\u65BC\u6C5A\u7525\u51F9\u592E\u5965\u5F80\u5FDC\u62BC\u65FA\u6A2A\u6B27\u6BB4\u738B\u7FC1\u8956\u9D2C\u9D0E\u9EC4\u5CA1\u6C96\u837B\u5104\u5C4B\u61B6\u81C6\u6876\u7261\u4E59\u4FFA\u5378\u6069\u6E29\u7A4F\u97F3\u4E0B\u5316\u4EEE\u4F55\u4F3D\u4FA1\u4F73\u52A0\u53EF\u5609\u590F\u5AC1\u5BB6\u5BE1\u79D1\u6687\u679C\u67B6\u6B4C\u6CB3\u706B\u73C2\u798D\u79BE\u7A3C\u7B87\u82B1\u82DB\u8304\u8377\u83EF\u83D3\u8766\u8AB2\u5629\u8CA8\u8FE6\u904E\u971E\u868A\u4FC4\u5CE8\u6211\u7259\u753B\u81E5\u82BD\u86FE\u8CC0\u96C5\u9913\u99D5\u4ECB\u4F1A\u89E3\u56DE\u584A\u58CA\u5EFB\u5FEB\u602A\u6094\u6062\u61D0\u6212\u62D0\u6539"], ["8a40", "\u9B41\u6666\u68B0\u6D77\u7070\u754C\u7686\u7D75\u82A5\u87F9\u958B\u968E\u8C9D\u51F1\u52BE\u5916\u54B3\u5BB3\u5D16\u6168\u6982\u6DAF\u788D\u84CB\u8857\u8A72\u93A7\u9AB8\u6D6C\u99A8\u86D9\u57A3\u67FF\u86CE\u920E\u5283\u5687\u5404\u5ED3\u62E1\u64B9\u683C\u6838\u6BBB\u7372\u78BA\u7A6B\u899A\u89D2\u8D6B\u8F03\u90ED\u95A3\u9694\u9769\u5B66\u5CB3\u697D\u984D\u984E\u639B\u7B20\u6A2B"], ["8a80", "\u6A7F\u68B6\u9C0D\u6F5F\u5272\u559D\u6070\u62EC\u6D3B\u6E07\u6ED1\u845B\u8910\u8F44\u4E14\u9C39\u53F6\u691B\u6A3A\u9784\u682A\u515C\u7AC3\u84B2\u91DC\u938C\u565B\u9D28\u6822\u8305\u8431\u7CA5\u5208\u82C5\u74E6\u4E7E\u4F83\u51A0\u5BD2\u520A\u52D8\u52E7\u5DFB\u559A\u582A\u59E6\u5B8C\u5B98\u5BDB\u5E72\u5E79\u60A3\u611F\u6163\u61BE\u63DB\u6562\u67D1\u6853\u68FA\u6B3E\u6B53\u6C57\u6F22\u6F97\u6F45\u74B0\u7518\u76E3\u770B\u7AFF\u7BA1\u7C21\u7DE9\u7F36\u7FF0\u809D\u8266\u839E\u89B3\u8ACC\u8CAB\u9084\u9451\u9593\u9591\u95A2\u9665\u97D3\u9928\u8218\u4E38\u542B\u5CB8\u5DCC\u73A9\u764C\u773C\u5CA9\u7FEB\u8D0B\u96C1\u9811\u9854\u9858\u4F01\u4F0E\u5371\u559C\u5668\u57FA\u5947\u5B09\u5BC4\u5C90\u5E0C\u5E7E\u5FCC\u63EE\u673A\u65D7\u65E2\u671F\u68CB\u68C4"], ["8b40", "\u6A5F\u5E30\u6BC5\u6C17\u6C7D\u757F\u7948\u5B63\u7A00\u7D00\u5FBD\u898F\u8A18\u8CB4\u8D77\u8ECC\u8F1D\u98E2\u9A0E\u9B3C\u4E80\u507D\u5100\u5993\u5B9C\u622F\u6280\u64EC\u6B3A\u72A0\u7591\u7947\u7FA9\u87FB\u8ABC\u8B70\u63AC\u83CA\u97A0\u5409\u5403\u55AB\u6854\u6A58\u8A70\u7827\u6775\u9ECD\u5374\u5BA2\u811A\u8650\u9006\u4E18\u4E45\u4EC7\u4F11\u53CA\u5438\u5BAE\u5F13\u6025\u6551"], ["8b80", 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"node_modules/iconv-lite/encodings/tables/cp936.json"(exports2, module2) { module2.exports = [ ["0", "\0", 127, "\u20AC"], ["8140", "\u4E02\u4E04\u4E05\u4E06\u4E0F\u4E12\u4E17\u4E1F\u4E20\u4E21\u4E23\u4E26\u4E29\u4E2E\u4E2F\u4E31\u4E33\u4E35\u4E37\u4E3C\u4E40\u4E41\u4E42\u4E44\u4E46\u4E4A\u4E51\u4E55\u4E57\u4E5A\u4E5B\u4E62\u4E63\u4E64\u4E65\u4E67\u4E68\u4E6A", 5, "\u4E72\u4E74", 9, "\u4E7F", 6, "\u4E87\u4E8A"], ["8180", "\u4E90\u4E96\u4E97\u4E99\u4E9C\u4E9D\u4E9E\u4EA3\u4EAA\u4EAF\u4EB0\u4EB1\u4EB4\u4EB6\u4EB7\u4EB8\u4EB9\u4EBC\u4EBD\u4EBE\u4EC8\u4ECC\u4ECF\u4ED0\u4ED2\u4EDA\u4EDB\u4EDC\u4EE0\u4EE2\u4EE6\u4EE7\u4EE9\u4EED\u4EEE\u4EEF\u4EF1\u4EF4\u4EF8\u4EF9\u4EFA\u4EFC\u4EFE\u4F00\u4F02", 6, "\u4F0B\u4F0C\u4F12", 4, "\u4F1C\u4F1D\u4F21\u4F23\u4F28\u4F29\u4F2C\u4F2D\u4F2E\u4F31\u4F33\u4F35\u4F37\u4F39\u4F3B\u4F3E", 4, "\u4F44\u4F45\u4F47", 5, 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32], ["fb40", "\u9E03", 27, "\u9E24\u9E27\u9E2E\u9E30\u9E34\u9E3B\u9E3C\u9E40\u9E4D\u9E50\u9E52\u9E53\u9E54\u9E56\u9E59\u9E5D\u9E5F\u9E60\u9E61\u9E62\u9E65\u9E6E\u9E6F\u9E72\u9E74", 9, "\u9E80"], ["fb80", "\u9E81\u9E83\u9E84\u9E85\u9E86\u9E89\u9E8A\u9E8C", 5, "\u9E94", 8, "\u9E9E\u9EA0", 5, "\u9EA7\u9EA8\u9EA9\u9EAA"], ["fc40", "\u9EAB", 8, "\u9EB5\u9EB6\u9EB7\u9EB9\u9EBA\u9EBC\u9EBF", 4, "\u9EC5\u9EC6\u9EC7\u9EC8\u9ECA\u9ECB\u9ECC\u9ED0\u9ED2\u9ED3\u9ED5\u9ED6\u9ED7\u9ED9\u9EDA\u9EDE\u9EE1\u9EE3\u9EE4\u9EE6\u9EE8\u9EEB\u9EEC\u9EED\u9EEE\u9EF0", 8, "\u9EFA\u9EFD\u9EFF", 6], ["fc80", "\u9F06", 4, "\u9F0C\u9F0F\u9F11\u9F12\u9F14\u9F15\u9F16\u9F18\u9F1A", 5, "\u9F21\u9F23", 8, "\u9F2D\u9F2E\u9F30\u9F31"], ["fd40", "\u9F32", 4, "\u9F38\u9F3A\u9F3C\u9F3F", 4, "\u9F45", 10, "\u9F52", 38], ["fd80", "\u9F79", 5, "\u9F81\u9F82\u9F8D", 11, "\u9F9C\u9F9D\u9F9E\u9FA1", 4, "\uF92C\uF979\uF995\uF9E7\uF9F1"], ["fe40", "\uFA0C\uFA0D\uFA0E\uFA0F\uFA11\uFA13\uFA14\uFA18\uFA1F\uFA20\uFA21\uFA23\uFA24\uFA27\uFA28\uFA29"] ]; } }); var require_gbk_added = __commonJS({ "node_modules/iconv-lite/encodings/tables/gbk-added.json"(exports2, module2) { module2.exports = [ ["a140", "\uE4C6", 62], ["a180", "\uE505", 32], ["a240", "\uE526", 62], ["a280", "\uE565", 32], ["a2ab", "\uE766", 5], ["a2e3", "\u20AC\uE76D"], ["a2ef", "\uE76E\uE76F"], ["a2fd", "\uE770\uE771"], ["a340", "\uE586", 62], ["a380", "\uE5C5", 31, "\u3000"], ["a440", "\uE5E6", 62], ["a480", "\uE625", 32], ["a4f4", "\uE772", 10], ["a540", "\uE646", 62], ["a580", "\uE685", 32], ["a5f7", "\uE77D", 7], ["a640", "\uE6A6", 62], ["a680", "\uE6E5", 32], ["a6b9", "\uE785", 7], ["a6d9", "\uE78D", 6], ["a6ec", "\uE794\uE795"], ["a6f3", "\uE796"], ["a6f6", "\uE797", 8], ["a740", "\uE706", 62], ["a780", "\uE745", 32], ["a7c2", "\uE7A0", 14], ["a7f2", "\uE7AF", 12], ["a896", "\uE7BC", 10], ["a8bc", "\uE7C7"], ["a8bf", "\u01F9"], ["a8c1", "\uE7C9\uE7CA\uE7CB\uE7CC"], ["a8ea", "\uE7CD", 20], ["a958", "\uE7E2"], ["a95b", "\uE7E3"], ["a95d", "\uE7E4\uE7E5\uE7E6"], ["a989", "\u303E\u2FF0", 11], ["a997", "\uE7F4", 12], ["a9f0", "\uE801", 14], ["aaa1", "\uE000", 93], ["aba1", "\uE05E", 93], ["aca1", "\uE0BC", 93], ["ada1", "\uE11A", 93], ["aea1", "\uE178", 93], ["afa1", "\uE1D6", 93], ["d7fa", "\uE810", 4], ["f8a1", "\uE234", 93], ["f9a1", "\uE292", 93], ["faa1", "\uE2F0", 93], ["fba1", "\uE34E", 93], ["fca1", "\uE3AC", 93], ["fda1", "\uE40A", 93], ["fe50", "\u2E81\uE816\uE817\uE818\u2E84\u3473\u3447\u2E88\u2E8B\uE81E\u359E\u361A\u360E\u2E8C\u2E97\u396E\u3918\uE826\u39CF\u39DF\u3A73\u39D0\uE82B\uE82C\u3B4E\u3C6E\u3CE0\u2EA7\uE831\uE832\u2EAA\u4056\u415F\u2EAE\u4337\u2EB3\u2EB6\u2EB7\uE83B\u43B1\u43AC\u2EBB\u43DD\u44D6\u4661\u464C\uE843"], ["fe80", "\u4723\u4729\u477C\u478D\u2ECA\u4947\u497A\u497D\u4982\u4983\u4985\u4986\u499F\u499B\u49B7\u49B6\uE854\uE855\u4CA3\u4C9F\u4CA0\u4CA1\u4C77\u4CA2\u4D13", 6, "\u4DAE\uE864\uE468", 93] ]; } }); var require_gb18030_ranges = __commonJS({ "node_modules/iconv-lite/encodings/tables/gb18030-ranges.json"(exports2, module2) { module2.exports = { uChars: [128, 165, 169, 178, 184, 216, 226, 235, 238, 244, 248, 251, 253, 258, 276, 284, 300, 325, 329, 334, 364, 463, 465, 467, 469, 471, 473, 475, 477, 506, 594, 610, 712, 716, 730, 930, 938, 962, 970, 1026, 1104, 1106, 8209, 8215, 8218, 8222, 8231, 8241, 8244, 8246, 8252, 8365, 8452, 8454, 8458, 8471, 8482, 8556, 8570, 8596, 8602, 8713, 8720, 8722, 8726, 8731, 8737, 8740, 8742, 8748, 8751, 8760, 8766, 8777, 8781, 8787, 8802, 8808, 8816, 8854, 8858, 8870, 8896, 8979, 9322, 9372, 9548, 9588, 9616, 9622, 9634, 9652, 9662, 9672, 9676, 9680, 9702, 9735, 9738, 9793, 9795, 11906, 11909, 11913, 11917, 11928, 11944, 11947, 11951, 11956, 11960, 11964, 11979, 12284, 12292, 12312, 12319, 12330, 12351, 12436, 12447, 12535, 12543, 12586, 12842, 12850, 12964, 13200, 13215, 13218, 13253, 13263, 13267, 13270, 13384, 13428, 13727, 13839, 13851, 14617, 14703, 14801, 14816, 14964, 15183, 15471, 15585, 16471, 16736, 17208, 17325, 17330, 17374, 17623, 17997, 18018, 18212, 18218, 18301, 18318, 18760, 18811, 18814, 18820, 18823, 18844, 18848, 18872, 19576, 19620, 19738, 19887, 40870, 59244, 59336, 59367, 59413, 59417, 59423, 59431, 59437, 59443, 59452, 59460, 59478, 59493, 63789, 63866, 63894, 63976, 63986, 64016, 64018, 64021, 64025, 64034, 64037, 64042, 65074, 65093, 65107, 65112, 65127, 65132, 65375, 65510, 65536], gbChars: [0, 36, 38, 45, 50, 81, 89, 95, 96, 100, 103, 104, 105, 109, 126, 133, 148, 172, 175, 179, 208, 306, 307, 308, 309, 310, 311, 312, 313, 341, 428, 443, 544, 545, 558, 741, 742, 749, 750, 805, 819, 820, 7922, 7924, 7925, 7927, 7934, 7943, 7944, 7945, 7950, 8062, 8148, 8149, 8152, 8164, 8174, 8236, 8240, 8262, 8264, 8374, 8380, 8381, 8384, 8388, 8390, 8392, 8393, 8394, 8396, 8401, 8406, 8416, 8419, 8424, 8437, 8439, 8445, 8482, 8485, 8496, 8521, 8603, 8936, 8946, 9046, 9050, 9063, 9066, 9076, 9092, 9100, 9108, 9111, 9113, 9131, 9162, 9164, 9218, 9219, 11329, 11331, 11334, 11336, 11346, 11361, 11363, 11366, 11370, 11372, 11375, 11389, 11682, 11686, 11687, 11692, 11694, 11714, 11716, 11723, 11725, 11730, 11736, 11982, 11989, 12102, 12336, 12348, 12350, 12384, 12393, 12395, 12397, 12510, 12553, 12851, 12962, 12973, 13738, 13823, 13919, 13933, 14080, 14298, 14585, 14698, 15583, 15847, 16318, 16434, 16438, 16481, 16729, 17102, 17122, 17315, 17320, 17402, 17418, 17859, 17909, 17911, 17915, 17916, 17936, 17939, 17961, 18664, 18703, 18814, 18962, 19043, 33469, 33470, 33471, 33484, 33485, 33490, 33497, 33501, 33505, 33513, 33520, 33536, 33550, 37845, 37921, 37948, 38029, 38038, 38064, 38065, 38066, 38069, 38075, 38076, 38078, 39108, 39109, 39113, 39114, 39115, 39116, 39265, 39394, 189e3] }; } }); var require_cp949 = __commonJS({ "node_modules/iconv-lite/encodings/tables/cp949.json"(exports2, module2) { module2.exports = [ ["0", "\0", 127], ["8141", "\uAC02\uAC03\uAC05\uAC06\uAC0B", 4, "\uAC18\uAC1E\uAC1F\uAC21\uAC22\uAC23\uAC25", 6, "\uAC2E\uAC32\uAC33\uAC34"], ["8161", "\uAC35\uAC36\uAC37\uAC3A\uAC3B\uAC3D\uAC3E\uAC3F\uAC41", 9, "\uAC4C\uAC4E", 5, "\uAC55"], ["8181", "\uAC56\uAC57\uAC59\uAC5A\uAC5B\uAC5D", 18, "\uAC72\uAC73\uAC75\uAC76\uAC79\uAC7B", 4, "\uAC82\uAC87\uAC88\uAC8D\uAC8E\uAC8F\uAC91\uAC92\uAC93\uAC95", 6, "\uAC9E\uACA2", 5, "\uACAB\uACAD\uACAE\uACB1", 6, "\uACBA\uACBE\uACBF\uACC0\uACC2\uACC3\uACC5\uACC6\uACC7\uACC9\uACCA\uACCB\uACCD", 7, "\uACD6\uACD8", 7, "\uACE2\uACE3\uACE5\uACE6\uACE9\uACEB\uACED\uACEE\uACF2\uACF4\uACF7", 4, "\uACFE\uACFF\uAD01\uAD02\uAD03\uAD05\uAD07", 4, "\uAD0E\uAD10\uAD12\uAD13"], ["8241", "\uAD14\uAD15\uAD16\uAD17\uAD19\uAD1A\uAD1B\uAD1D\uAD1E\uAD1F\uAD21", 7, "\uAD2A\uAD2B\uAD2E", 5], ["8261", "\uAD36\uAD37\uAD39\uAD3A\uAD3B\uAD3D", 6, "\uAD46\uAD48\uAD4A", 5, "\uAD51\uAD52\uAD53\uAD55\uAD56\uAD57"], ["8281", "\uAD59", 7, "\uAD62\uAD64", 7, "\uAD6E\uAD6F\uAD71\uAD72\uAD77\uAD78\uAD79\uAD7A\uAD7E\uAD80\uAD83", 4, "\uAD8A\uAD8B\uAD8D\uAD8E\uAD8F\uAD91", 10, "\uAD9E", 5, "\uADA5", 17, "\uADB8", 7, "\uADC2\uADC3\uADC5\uADC6\uADC7\uADC9", 6, "\uADD2\uADD4", 7, "\uADDD\uADDE\uADDF\uADE1\uADE2\uADE3\uADE5", 18], ["8341", "\uADFA\uADFB\uADFD\uADFE\uAE02", 5, "\uAE0A\uAE0C\uAE0E", 5, "\uAE15", 7], ["8361", "\uAE1D", 18, "\uAE32\uAE33\uAE35\uAE36\uAE39\uAE3B\uAE3C"], ["8381", "\uAE3D\uAE3E\uAE3F\uAE42\uAE44\uAE47\uAE48\uAE49\uAE4B\uAE4F\uAE51\uAE52\uAE53\uAE55\uAE57", 4, "\uAE5E\uAE62\uAE63\uAE64\uAE66\uAE67\uAE6A\uAE6B\uAE6D\uAE6E\uAE6F\uAE71", 6, "\uAE7A\uAE7E", 5, "\uAE86", 5, "\uAE8D", 46, "\uAEBF\uAEC1\uAEC2\uAEC3\uAEC5", 6, "\uAECE\uAED2", 5, "\uAEDA\uAEDB\uAEDD", 8], ["8441", "\uAEE6\uAEE7\uAEE9\uAEEA\uAEEC\uAEEE", 5, "\uAEF5\uAEF6\uAEF7\uAEF9\uAEFA\uAEFB\uAEFD", 8], ["8461", "\uAF06\uAF09\uAF0A\uAF0B\uAF0C\uAF0E\uAF0F\uAF11", 18], ["8481", "\uAF24", 7, "\uAF2E\uAF2F\uAF31\uAF33\uAF35", 6, "\uAF3E\uAF40\uAF44\uAF45\uAF46\uAF47\uAF4A", 5, "\uAF51", 10, "\uAF5E", 5, "\uAF66", 18, "\uAF7A", 5, "\uAF81\uAF82\uAF83\uAF85\uAF86\uAF87\uAF89", 6, "\uAF92\uAF93\uAF94\uAF96", 5, "\uAF9D", 26, "\uAFBA\uAFBB\uAFBD\uAFBE"], ["8541", "\uAFBF\uAFC1", 5, "\uAFCA\uAFCC\uAFCF", 4, "\uAFD5", 6, "\uAFDD", 4], ["8561", "\uAFE2", 5, "\uAFEA", 5, "\uAFF2\uAFF3\uAFF5\uAFF6\uAFF7\uAFF9", 6, "\uB002\uB003"], ["8581", "\uB005", 6, "\uB00D\uB00E\uB00F\uB011\uB012\uB013\uB015", 6, "\uB01E", 9, "\uB029", 26, "\uB046\uB047\uB049\uB04B\uB04D\uB04F\uB050\uB051\uB052\uB056\uB058\uB05A\uB05B\uB05C\uB05E", 29, "\uB07E\uB07F\uB081\uB082\uB083\uB085", 6, "\uB08E\uB090\uB092", 5, "\uB09B\uB09D\uB09E\uB0A3\uB0A4"], ["8641", "\uB0A5\uB0A6\uB0A7\uB0AA\uB0B0\uB0B2\uB0B6\uB0B7\uB0B9\uB0BA\uB0BB\uB0BD", 6, "\uB0C6\uB0CA", 5, "\uB0D2"], ["8661", "\uB0D3\uB0D5\uB0D6\uB0D7\uB0D9", 6, "\uB0E1\uB0E2\uB0E3\uB0E4\uB0E6", 10], ["8681", "\uB0F1", 22, "\uB10A\uB10D\uB10E\uB10F\uB111\uB114\uB115\uB116\uB117\uB11A\uB11E", 4, "\uB126\uB127\uB129\uB12A\uB12B\uB12D", 6, "\uB136\uB13A", 5, "\uB142\uB143\uB145\uB146\uB147\uB149", 6, 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"\u{289BC}\u{22698}\u5547\u4CED\u542F\u7417\u5586\u55A9\u5605\u{218D7}\u{2403A}\u4552\u{24435}\u66B3\u{210B4}\u5637\u66CD\u{2328A}\u66A4\u66AD\u564D\u564F\u78F1\u56F1\u9787\u53FE\u5700\u56EF\u56ED\u{28B66}\u3623\u{2124F}\u5746\u{241A5}\u6C6E\u708B\u5742\u36B1\u{26C7E}\u57E6\u{21416}\u5803\u{21454}\u{24363}\u5826\u{24BF5}\u585C\u58AA\u3561\u58E0\u58DC\u{2123C}\u58FB\u5BFF\u5743\u{2A150}\u{24278}\u93D3\u35A1\u591F\u68A6\u36C3\u6E59"], ["fba1", "\u{2163E}\u5A24\u5553\u{21692}\u8505\u59C9\u{20D4E}\u{26C81}\u{26D2A}\u{217DC}\u59D9\u{217FB}\u{217B2}\u{26DA6}\u6D71\u{21828}\u{216D5}\u59F9\u{26E45}\u5AAB\u5A63\u36E6\u{249A9}\u5A77\u3708\u5A96\u7465\u5AD3\u{26FA1}\u{22554}\u3D85\u{21911}\u3732\u{216B8}\u5E83\u52D0\u5B76\u6588\u5B7C\u{27A0E}\u4004\u485D\u{20204}\u5BD5\u6160\u{21A34}\u{259CC}\u{205A5}\u5BF3\u5B9D\u4D10\u5C05\u{21B44}\u5C13\u73CE\u5C14\u{21CA5}\u{26B28}\u5C49\u48DD\u5C85\u5CE9\u5CEF\u5D8B\u{21DF9}\u{21E37}\u5D10\u5D18\u5D46\u{21EA4}\u5CBA\u5DD7\u82FC\u382D\u{24901}\u{22049}\u{22173}\u8287\u3836\u3BC2\u5E2E\u6A8A\u5E75\u5E7A\u{244BC}\u{20CD3}\u53A6\u4EB7\u5ED0\u53A8\u{21771}\u5E09\u5EF4\u{28482}"], ["fc40", "\u5EF9\u5EFB\u38A0\u5EFC\u683E\u941B\u5F0D\u{201C1}\u{2F894}\u3ADE\u48AE\u{2133A}\u5F3A\u{26888}\u{223D0}\u5F58\u{22471}\u5F63\u97BD\u{26E6E}\u5F72\u9340\u{28A36}\u5FA7\u5DB6\u3D5F\u{25250}\u{21F6A}\u{270F8}\u{22668}\u91D6\u{2029E}\u{28A29}\u6031\u6685\u{21877}\u3963\u3DC7\u3639\u5790\u{227B4}\u7971\u3E40\u609E\u60A4\u60B3\u{24982}\u{2498F}\u{27A53}\u74A4\u50E1\u5AA0\u6164\u8424\u6142\u{2F8A6}\u{26ED2}\u6181\u51F4\u{20656}\u6187\u5BAA\u{23FB7}"], ["fca1", "\u{2285F}\u61D3\u{28B9D}\u{2995D}\u61D0\u3932\u{22980}\u{228C1}\u6023\u615C\u651E\u638B\u{20118}\u62C5\u{21770}\u62D5\u{22E0D}\u636C\u{249DF}\u3A17\u6438\u63F8\u{2138E}\u{217FC}\u6490\u6F8A\u{22E36}\u9814\u{2408C}\u{2571D}\u64E1\u64E5\u947B\u3A66\u643A\u3A57\u654D\u6F16\u{24A28}\u{24A23}\u6585\u656D\u655F\u{2307E}\u65B5\u{24940}\u4B37\u65D1\u40D8\u{21829}\u65E0\u65E3\u5FDF\u{23400}\u6618\u{231F7}\u{231F8}\u6644\u{231A4}\u{231A5}\u664B\u{20E75}\u6667\u{251E6}\u6673\u6674\u{21E3D}\u{23231}\u{285F4}\u{231C8}\u{25313}\u77C5\u{228F7}\u99A4\u6702\u{2439C}\u{24A21}\u3B2B\u69FA\u{237C2}\u675E\u6767\u6762\u{241CD}\u{290ED}\u67D7\u44E9\u6822\u6E50\u923C\u6801\u{233E6}\u{26DA0}\u685D"], ["fd40", "\u{2346F}\u69E1\u6A0B\u{28ADF}\u6973\u68C3\u{235CD}\u6901\u6900\u3D32\u3A01\u{2363C}\u3B80\u67AC\u6961\u{28A4A}\u42FC\u6936\u6998\u3BA1\u{203C9}\u8363\u5090\u69F9\u{23659}\u{2212A}\u6A45\u{23703}\u6A9D\u3BF3\u67B1\u6AC8\u{2919C}\u3C0D\u6B1D\u{20923}\u60DE\u6B35\u6B74\u{227CD}\u6EB5\u{23ADB}\u{203B5}\u{21958}\u3740\u5421\u{23B5A}\u6BE1\u{23EFC}\u6BDC\u6C37\u{2248B}\u{248F1}\u{26B51}\u6C5A\u8226\u6C79\u{23DBC}\u44C5\u{23DBD}\u{241A4}\u{2490C}\u{24900}"], ["fda1", "\u{23CC9}\u36E5\u3CEB\u{20D32}\u9B83\u{231F9}\u{22491}\u7F8F\u6837\u{26D25}\u{26DA1}\u{26DEB}\u6D96\u6D5C\u6E7C\u6F04\u{2497F}\u{24085}\u{26E72}\u8533\u{26F74}\u51C7\u6C9C\u6E1D\u842E\u{28B21}\u6E2F\u{23E2F}\u7453\u{23F82}\u79CC\u6E4F\u5A91\u{2304B}\u6FF8\u370D\u6F9D\u{23E30}\u6EFA\u{21497}\u{2403D}\u4555\u93F0\u6F44\u6F5C\u3D4E\u6F74\u{29170}\u3D3B\u6F9F\u{24144}\u6FD3\u{24091}\u{24155}\u{24039}\u{23FF0}\u{23FB4}\u{2413F}\u51DF\u{24156}\u{24157}\u{24140}\u{261DD}\u704B\u707E\u70A7\u7081\u70CC\u70D5\u70D6\u70DF\u4104\u3DE8\u71B4\u7196\u{24277}\u712B\u7145\u5A88\u714A\u716E\u5C9C\u{24365}\u714F\u9362\u{242C1}\u712C\u{2445A}\u{24A27}\u{24A22}\u71BA\u{28BE8}\u70BD\u720E"], ["fe40", "\u9442\u7215\u5911\u9443\u7224\u9341\u{25605}\u722E\u7240\u{24974}\u68BD\u7255\u7257\u3E55\u{23044}\u680D\u6F3D\u7282\u732A\u732B\u{24823}\u{2882B}\u48ED\u{28804}\u7328\u732E\u73CF\u73AA\u{20C3A}\u{26A2E}\u73C9\u7449\u{241E2}\u{216E7}\u{24A24}\u6623\u36C5\u{249B7}\u{2498D}\u{249FB}\u73F7\u7415\u6903\u{24A26}\u7439\u{205C3}\u3ED7\u745C\u{228AD}\u7460\u{28EB2}\u7447\u73E4\u7476\u83B9\u746C\u3730\u7474\u93F1\u6A2C\u7482\u4953\u{24A8C}"], ["fea1", "\u{2415F}\u{24A79}\u{28B8F}\u5B46\u{28C03}\u{2189E}\u74C8\u{21988}\u750E\u74E9\u751E\u{28ED9}\u{21A4B}\u5BD7\u{28EAC}\u9385\u754D\u754A\u7567\u756E\u{24F82}\u3F04\u{24D13}\u758E\u745D\u759E\u75B4\u7602\u762C\u7651\u764F\u766F\u7676\u{263F5}\u7690\u81EF\u37F8\u{26911}\u{2690E}\u76A1\u76A5\u76B7\u76CC\u{26F9F}\u8462\u{2509D}\u{2517D}\u{21E1C}\u771E\u7726\u7740\u64AF\u{25220}\u7758\u{232AC}\u77AF\u{28964}\u{28968}\u{216C1}\u77F4\u7809\u{21376}\u{24A12}\u68CA\u78AF\u78C7\u78D3\u96A5\u792E\u{255E0}\u78D7\u7934\u78B1\u{2760C}\u8FB8\u8884\u{28B2B}\u{26083}\u{2261C}\u7986\u8900\u6902\u7980\u{25857}\u799D\u{27B39}\u793C\u79A9\u6E2A\u{27126}\u3EA8\u79C6\u{2910D}\u79D4"] ]; } }); var require_dbcs_data = __commonJS({ "node_modules/iconv-lite/encodings/dbcs-data.js"(exports2, module2) { "use strict"; module2.exports = { "shiftjis": { type: "_dbcs", table: function() { return require_shiftjis(); }, encodeAdd: { "\xA5": 92, "\u203E": 126 }, encodeSkipVals: [{ from: 60736, to: 63808 }] }, "csshiftjis": "shiftjis", "mskanji": "shiftjis", "sjis": "shiftjis", "windows31j": "shiftjis", "ms31j": "shiftjis", "xsjis": "shiftjis", "windows932": "shiftjis", "ms932": "shiftjis", "932": "shiftjis", "cp932": "shiftjis", "eucjp": { type: "_dbcs", table: function() { return require_eucjp(); }, encodeAdd: { "\xA5": 92, "\u203E": 126 } }, "gb2312": "cp936", "gb231280": "cp936", "gb23121980": "cp936", "csgb2312": "cp936", "csiso58gb231280": "cp936", "euccn": "cp936", "windows936": "cp936", "ms936": "cp936", "936": "cp936", "cp936": { type: "_dbcs", table: function() { return require_cp936(); } }, "gbk": { type: "_dbcs", table: function() { return require_cp936().concat(require_gbk_added()); } }, "xgbk": "gbk", "isoir58": "gbk", "gb18030": { type: "_dbcs", table: function() { return require_cp936().concat(require_gbk_added()); }, gb18030: function() { return require_gb18030_ranges(); }, encodeSkipVals: [128], encodeAdd: { "\u20AC": 41699 } }, "chinese": "gb18030", "windows949": "cp949", "ms949": "cp949", "949": "cp949", "cp949": { type: "_dbcs", table: function() { return require_cp949(); } }, "cseuckr": "cp949", "csksc56011987": "cp949", "euckr": "cp949", "isoir149": "cp949", "korean": "cp949", "ksc56011987": "cp949", "ksc56011989": "cp949", "ksc5601": "cp949", "windows950": "cp950", "ms950": "cp950", "950": "cp950", "cp950": { type: "_dbcs", table: function() { return require_cp950(); } }, "big5": "big5hkscs", "big5hkscs": { type: "_dbcs", table: function() { return require_cp950().concat(require_big5_added()); }, encodeSkipVals: [41676] }, "cnbig5": "big5hkscs", "csbig5": "big5hkscs", "xxbig5": "big5hkscs" }; } }); var require_encodings = __commonJS({ "node_modules/iconv-lite/encodings/index.js"(exports2, module2) { "use strict"; var modules = [ require_internal(), require_utf32(), require_utf16(), require_utf7(), require_sbcs_codec(), require_sbcs_data(), require_sbcs_data_generated(), require_dbcs_codec(), require_dbcs_data() ]; for (i = 0; i < modules.length; i++) { module2 = modules[i]; for (enc in module2) if (Object.prototype.hasOwnProperty.call(module2, enc)) exports2[enc] = module2[enc]; } var module2; var enc; var i; } }); var require_streams = __commonJS({ "node_modules/iconv-lite/lib/streams.js"(exports2, module2) { "use strict"; var Buffer2 = require("buffer").Buffer; var Transform = require("stream").Transform; module2.exports = function(iconv) { iconv.encodeStream = function encodeStream(encoding, options) { return new IconvLiteEncoderStream(iconv.getEncoder(encoding, options), options); }; iconv.decodeStream = function decodeStream(encoding, options) { return new IconvLiteDecoderStream(iconv.getDecoder(encoding, options), options); }; iconv.supportsStreams = true; iconv.IconvLiteEncoderStream = IconvLiteEncoderStream; iconv.IconvLiteDecoderStream = IconvLiteDecoderStream; iconv._collect = IconvLiteDecoderStream.prototype.collect; }; function IconvLiteEncoderStream(conv, options) { this.conv = conv; options = options || {}; options.decodeStrings = false; Transform.call(this, options); } IconvLiteEncoderStream.prototype = Object.create(Transform.prototype, { constructor: { value: IconvLiteEncoderStream } }); IconvLiteEncoderStream.prototype._transform = function(chunk, encoding, done) { if (typeof chunk != "string") return done(new Error("Iconv encoding stream needs strings as its input.")); try { var res = this.conv.write(chunk); if (res && res.length) this.push(res); done(); } catch (e) { done(e); } }; IconvLiteEncoderStream.prototype._flush = function(done) { try { var res = this.conv.end(); if (res && res.length) this.push(res); done(); } catch (e) { done(e); } }; IconvLiteEncoderStream.prototype.collect = function(cb) { var chunks = []; this.on("error", cb); this.on("data", function(chunk) { chunks.push(chunk); }); this.on("end", function() { cb(null, Buffer2.concat(chunks)); }); return this; }; function IconvLiteDecoderStream(conv, options) { this.conv = conv; options = options || {}; options.encoding = this.encoding = "utf8"; Transform.call(this, options); } IconvLiteDecoderStream.prototype = Object.create(Transform.prototype, { constructor: { value: IconvLiteDecoderStream } }); IconvLiteDecoderStream.prototype._transform = function(chunk, encoding, done) { if (!Buffer2.isBuffer(chunk)) return done(new Error("Iconv decoding stream needs buffers as its input.")); try { var res = this.conv.write(chunk); if (res && res.length) this.push(res, this.encoding); done(); } catch (e) { done(e); } }; IconvLiteDecoderStream.prototype._flush = function(done) { try { var res = this.conv.end(); if (res && res.length) this.push(res, this.encoding); done(); } catch (e) { done(e); } }; IconvLiteDecoderStream.prototype.collect = function(cb) { var res = ""; this.on("error", cb); this.on("data", function(chunk) { res += chunk; }); this.on("end", function() { cb(null, res); }); return this; }; } }); var require_extend_node = __commonJS({ "node_modules/iconv-lite/lib/extend-node.js"(exports2, module2) { "use strict"; var Buffer2 = require("buffer").Buffer; module2.exports = function(iconv) { var original = void 0; iconv.supportsNodeEncodingsExtension = !(Buffer2.from || new Buffer2(0) instanceof Uint8Array); iconv.extendNodeEncodings = function extendNodeEncodings() { if (original) return; original = {}; if (!iconv.supportsNodeEncodingsExtension) { console.error("ACTION NEEDED: require('iconv-lite').extendNodeEncodings() is not supported in your version of Node"); console.error("See more info at https://github.com/ashtuchkin/iconv-lite/wiki/Node-v4-compatibility"); return; } var nodeNativeEncodings = { "hex": true, "utf8": true, "utf-8": true, "ascii": true, "binary": true, "base64": true, "ucs2": true, "ucs-2": true, "utf16le": true, "utf-16le": true }; Buffer2.isNativeEncoding = function(enc) { return enc && nodeNativeEncodings[enc.toLowerCase()]; }; var SlowBuffer = require("buffer").SlowBuffer; original.SlowBufferToString = SlowBuffer.prototype.toString; SlowBuffer.prototype.toString = function(encoding, start, end) { encoding = String(encoding || "utf8").toLowerCase(); if (Buffer2.isNativeEncoding(encoding)) return original.SlowBufferToString.call(this, encoding, start, end); if (typeof start == "undefined") start = 0; if (typeof end == "undefined") end = this.length; return iconv.decode(this.slice(start, end), encoding); }; original.SlowBufferWrite = SlowBuffer.prototype.write; SlowBuffer.prototype.write = function(string, offset, length, encoding) { if (isFinite(offset)) { if (!isFinite(length)) { encoding = length; length = void 0; } } else { var swap = encoding; encoding = offset; offset = length; length = swap; } offset = +offset || 0; var remaining = this.length - offset; if (!length) { length = remaining; } else { length = +length; if (length > remaining) { length = remaining; } } encoding = String(encoding || "utf8").toLowerCase(); if (Buffer2.isNativeEncoding(encoding)) return original.SlowBufferWrite.call(this, string, offset, length, encoding); if (string.length > 0 && (length < 0 || offset < 0)) throw new RangeError("attempt to write beyond buffer bounds"); var buf = iconv.encode(string, encoding); if (buf.length < length) length = buf.length; buf.copy(this, offset, 0, length); return length; }; original.BufferIsEncoding = Buffer2.isEncoding; Buffer2.isEncoding = function(encoding) { return Buffer2.isNativeEncoding(encoding) || iconv.encodingExists(encoding); }; original.BufferByteLength = Buffer2.byteLength; Buffer2.byteLength = SlowBuffer.byteLength = function(str, encoding) { encoding = String(encoding || "utf8").toLowerCase(); if (Buffer2.isNativeEncoding(encoding)) return original.BufferByteLength.call(this, str, encoding); return iconv.encode(str, encoding).length; }; original.BufferToString = Buffer2.prototype.toString; Buffer2.prototype.toString = function(encoding, start, end) { encoding = String(encoding || "utf8").toLowerCase(); if (Buffer2.isNativeEncoding(encoding)) return original.BufferToString.call(this, encoding, start, end); if (typeof start == "undefined") start = 0; if (typeof end == "undefined") end = this.length; return iconv.decode(this.slice(start, end), encoding); }; original.BufferWrite = Buffer2.prototype.write; Buffer2.prototype.write = function(string, offset, length, encoding) { var _offset = offset, _length = length, _encoding = encoding; if (isFinite(offset)) { if (!isFinite(length)) { encoding = length; length = void 0; } } else { var swap = encoding; encoding = offset; offset = length; length = swap; } encoding = String(encoding || "utf8").toLowerCase(); if (Buffer2.isNativeEncoding(encoding)) return original.BufferWrite.call(this, string, _offset, _length, _encoding); offset = +offset || 0; var remaining = this.length - offset; if (!length) { length = remaining; } else { length = +length; if (length > remaining) { length = remaining; } } if (string.length > 0 && (length < 0 || offset < 0)) throw new RangeError("attempt to write beyond buffer bounds"); var buf = iconv.encode(string, encoding); if (buf.length < length) length = buf.length; buf.copy(this, offset, 0, length); return length; }; if (iconv.supportsStreams) { var Readable = require("stream").Readable; original.ReadableSetEncoding = Readable.prototype.setEncoding; Readable.prototype.setEncoding = function setEncoding(enc, options) { this._readableState.decoder = iconv.getDecoder(enc, options); this._readableState.encoding = enc; }; Readable.prototype.collect = iconv._collect; } }; iconv.undoExtendNodeEncodings = function undoExtendNodeEncodings() { if (!iconv.supportsNodeEncodingsExtension) return; if (!original) throw new Error("require('iconv-lite').undoExtendNodeEncodings(): Nothing to undo; extendNodeEncodings() is not called."); delete Buffer2.isNativeEncoding; var SlowBuffer = require("buffer").SlowBuffer; SlowBuffer.prototype.toString = original.SlowBufferToString; SlowBuffer.prototype.write = original.SlowBufferWrite; Buffer2.isEncoding = original.BufferIsEncoding; Buffer2.byteLength = original.BufferByteLength; Buffer2.prototype.toString = original.BufferToString; Buffer2.prototype.write = original.BufferWrite; if (iconv.supportsStreams) { var Readable = require("stream").Readable; Readable.prototype.setEncoding = original.ReadableSetEncoding; delete Readable.prototype.collect; } original = void 0; }; }; } }); var require_lib3 = __commonJS({ "node_modules/iconv-lite/lib/index.js"(exports2, module2) { "use strict"; var Buffer2 = require_safer().Buffer; var bomHandling = require_bom_handling(); var iconv = module2.exports; iconv.encodings = null; iconv.defaultCharUnicode = "\uFFFD"; iconv.defaultCharSingleByte = "?"; iconv.encode = function encode(str, encoding, options) { str = "" + (str || ""); var encoder = iconv.getEncoder(encoding, options); var res = encoder.write(str); var trail = encoder.end(); return trail && trail.length > 0 ? Buffer2.concat([res, trail]) : res; }; iconv.decode = function decode(buf, encoding, options) { if (typeof buf === "string") { if (!iconv.skipDecodeWarning) { console.error("Iconv-lite warning: decode()-ing strings is deprecated. Refer to https://github.com/ashtuchkin/iconv-lite/wiki/Use-Buffers-when-decoding"); iconv.skipDecodeWarning = true; } buf = Buffer2.from("" + (buf || ""), "binary"); } var decoder = iconv.getDecoder(encoding, options); var res = decoder.write(buf); var trail = decoder.end(); return trail ? res + trail : res; }; iconv.encodingExists = function encodingExists(enc) { try { iconv.getCodec(enc); return true; } catch (e) { return false; } }; iconv.toEncoding = iconv.encode; iconv.fromEncoding = iconv.decode; iconv._codecDataCache = {}; iconv.getCodec = function getCodec(encoding) { if (!iconv.encodings) iconv.encodings = require_encodings(); var enc = iconv._canonicalizeEncoding(encoding); var codecOptions = {}; while (true) { var codec = iconv._codecDataCache[enc]; if (codec) return codec; var codecDef = iconv.encodings[enc]; switch (typeof codecDef) { case "string": enc = codecDef; break; case "object": for (var key in codecDef) codecOptions[key] = codecDef[key]; if (!codecOptions.encodingName) codecOptions.encodingName = enc; enc = codecDef.type; break; case "function": if (!codecOptions.encodingName) codecOptions.encodingName = enc; codec = new codecDef(codecOptions, iconv); iconv._codecDataCache[codecOptions.encodingName] = codec; return codec; default: throw new Error("Encoding not recognized: '" + encoding + "' (searched as: '" + enc + "')"); } } }; iconv._canonicalizeEncoding = function(encoding) { return ("" + encoding).toLowerCase().replace(/:\d{4}$|[^0-9a-z]/g, ""); }; iconv.getEncoder = function getEncoder(encoding, options) { var codec = iconv.getCodec(encoding), encoder = new codec.encoder(options, codec); if (codec.bomAware && options && options.addBOM) encoder = new bomHandling.PrependBOM(encoder, options); return encoder; }; iconv.getDecoder = function getDecoder(encoding, options) { var codec = iconv.getCodec(encoding), decoder = new codec.decoder(options, codec); if (codec.bomAware && !(options && options.stripBOM === false)) decoder = new bomHandling.StripBOM(decoder, options); return decoder; }; var nodeVer = typeof process !== "undefined" && process.versions && process.versions.node; if (nodeVer) { nodeVerArr = nodeVer.split(".").map(Number); if (nodeVerArr[0] > 0 || nodeVerArr[1] >= 10) { require_streams()(iconv); } require_extend_node()(iconv); } var nodeVerArr; if (false) { console.error("iconv-lite warning: javascript files use encoding different from utf-8. See https://github.com/ashtuchkin/iconv-lite/wiki/Javascript-source-file-encodings for more info."); } } }); var require_unpipe = __commonJS({ "node_modules/unpipe/index.js"(exports2, module2) { "use strict"; module2.exports = unpipe; function hasPipeDataListeners(stream) { var listeners = stream.listeners("data"); for (var i = 0; i < listeners.length; i++) { if (listeners[i].name === "ondata") { return true; } } return false; } function unpipe(stream) { if (!stream) { throw new TypeError("argument stream is required"); } if (typeof stream.unpipe === "function") { stream.unpipe(); return; } if (!hasPipeDataListeners(stream)) { return; } var listener; var listeners = stream.listeners("close"); for (var i = 0; i < listeners.length; i++) { listener = listeners[i]; if (listener.name !== "cleanup" && listener.name !== "onclose") { continue; } listener.call(stream); } } } }); var require_raw_body = __commonJS({ "node_modules/raw-body/index.js"(exports2, module2) { "use strict"; var asyncHooks = tryRequireAsyncHooks(); var bytes = require_bytes(); var createError = require_http_errors(); var iconv = require_lib3(); var unpipe = require_unpipe(); module2.exports = getRawBody; var ICONV_ENCODING_MESSAGE_REGEXP = /^Encoding not recognized: /; function getDecoder(encoding) { if (!encoding) return null; try { return iconv.getDecoder(encoding); } catch (e) { if (!ICONV_ENCODING_MESSAGE_REGEXP.test(e.message)) throw e; throw createError(415, "specified encoding unsupported", { encoding, type: "encoding.unsupported" }); } } function getRawBody(stream, options, callback) { var done = callback; var opts = options || {}; if (stream === void 0) { throw new TypeError("argument stream is required"); } else if (typeof stream !== "object" || stream === null || typeof stream.on !== "function") { throw new TypeError("argument stream must be a stream"); } if (options === true || typeof options === "string") { opts = { encoding: options }; } if (typeof options === "function") { done = options; opts = {}; } if (done !== void 0 && typeof done !== "function") { throw new TypeError("argument callback must be a function"); } if (!done && !global.Promise) { throw new TypeError("argument callback is required"); } var encoding = opts.encoding !== true ? opts.encoding : "utf-8"; var limit = bytes.parse(opts.limit); var length = opts.length != null && !isNaN(opts.length) ? parseInt(opts.length, 10) : null; if (done) { return readStream(stream, encoding, length, limit, wrap2(done)); } return new Promise(function executor(resolve, reject) { readStream(stream, encoding, length, limit, function onRead(err, buf) { if (err) return reject(err); resolve(buf); }); }); } function halt(stream) { unpipe(stream); if (typeof stream.pause === "function") { stream.pause(); } } function readStream(stream, encoding, length, limit, callback) { var complete = false; var sync = true; if (limit !== null && length !== null && length > limit) { return done(createError(413, "request entity too large", { expected: length, length, limit, type: "entity.too.large" })); } var state = stream._readableState; if (stream._decoder || state && (state.encoding || state.decoder)) { return done(createError(500, "stream encoding should not be set", { type: "stream.encoding.set" })); } if (typeof stream.readable !== "undefined" && !stream.readable) { return done(createError(500, "stream is not readable", { type: "stream.not.readable" })); } var received = 0; var decoder; try { decoder = getDecoder(encoding); } catch (err) { return done(err); } var buffer = decoder ? "" : []; stream.on("aborted", onAborted); stream.on("close", cleanup); stream.on("data", onData); stream.on("end", onEnd); stream.on("error", onEnd); sync = false; function done() { var args2 = new Array(arguments.length); for (var i = 0; i < args2.length; i++) { args2[i] = arguments[i]; } complete = true; if (sync) { process.nextTick(invokeCallback); } else { invokeCallback(); } function invokeCallback() { cleanup(); if (args2[0]) { halt(stream); } callback.apply(null, args2); } } function onAborted() { if (complete) return; done(createError(400, "request aborted", { code: "ECONNABORTED", expected: length, length, received, type: "request.aborted" })); } function onData(chunk) { if (complete) return; received += chunk.length; if (limit !== null && received > limit) { done(createError(413, "request entity too large", { limit, received, type: "entity.too.large" })); } else if (decoder) { buffer += decoder.write(chunk); } else { buffer.push(chunk); } } function onEnd(err) { if (complete) return; if (err) return done(err); if (length !== null && received !== length) { done(createError(400, "request size did not match content length", { expected: length, length, received, type: "request.size.invalid" })); } else { var string = decoder ? buffer + (decoder.end() || "") : Buffer.concat(buffer); done(null, string); } } function cleanup() { buffer = null; stream.removeListener("aborted", onAborted); stream.removeListener("data", onData); stream.removeListener("end", onEnd); stream.removeListener("error", onEnd); stream.removeListener("close", cleanup); } } function tryRequireAsyncHooks() { try { return require("async_hooks"); } catch (e) { return {}; } } function wrap2(fn2) { var res; if (asyncHooks.AsyncResource) { res = new asyncHooks.AsyncResource(fn2.name || "bound-anonymous-fn"); } if (!res || !res.runInAsyncScope) { return fn2; } return res.runInAsyncScope.bind(res, fn2, null); } } }); var require_read = __commonJS({ "node_modules/body-parser/lib/read.js"(exports2, module2) { "use strict"; var createError = require_http_errors(); var destroy = require_destroy(); var getBody = require_raw_body(); var iconv = require_lib3(); var onFinished = require_on_finished(); var unpipe = require_unpipe(); var zlib = require("zlib"); module2.exports = read; function read(req, res, next, parse, debug, options) { var length; var opts = options; var stream; var encoding = opts.encoding !== null ? opts.encoding : null; var verify = opts.verify; try { stream = contentstream(req, debug, opts.inflate); length = stream.length; stream.length = void 0; } catch (err) { return next(err); } opts.length = length; opts.encoding = verify ? null : encoding; if (opts.encoding === null && encoding !== null && !iconv.encodingExists(encoding)) { return next(createError(415, 'unsupported charset "' + encoding.toUpperCase() + '"', { charset: encoding.toLowerCase(), type: "charset.unsupported" })); } debug("read body"); getBody(stream, opts, function(error, body) { if (error) { var _error; if (error.type === "encoding.unsupported") { _error = createError(415, 'unsupported charset "' + encoding.toUpperCase() + '"', { charset: encoding.toLowerCase(), type: "charset.unsupported" }); } else { _error = createError(400, error); } if (stream !== req) { unpipe(req); destroy(stream, true); } dump(req, function onfinished() { next(createError(400, _error)); }); return; } if (verify) { try { debug("verify body"); verify(req, res, body, encoding); } catch (err) { next(createError(403, err, { body, type: err.type || "entity.verify.failed" })); return; } } var str = body; try { debug("parse body"); str = typeof body !== "string" && encoding !== null ? iconv.decode(body, encoding) : body; req.body = parse(str); } catch (err) { next(createError(400, err, { body: str, type: err.type || "entity.parse.failed" })); return; } next(); }); } function contentstream(req, debug, inflate) { var encoding = (req.headers["content-encoding"] || "identity").toLowerCase(); var length = req.headers["content-length"]; var stream; debug('content-encoding "%s"', encoding); if (inflate === false && encoding !== "identity") { throw createError(415, "content encoding unsupported", { encoding, type: "encoding.unsupported" }); } switch (encoding) { case "deflate": stream = zlib.createInflate(); debug("inflate body"); req.pipe(stream); break; case "gzip": stream = zlib.createGunzip(); debug("gunzip body"); req.pipe(stream); break; case "identity": stream = req; stream.length = length; break; default: throw createError(415, 'unsupported content encoding "' + encoding + '"', { encoding, type: "encoding.unsupported" }); } return stream; } function dump(req, callback) { if (onFinished.isFinished(req)) { callback(null); } else { onFinished(req, callback); req.resume(); } } } }); var require_media_typer = __commonJS({ "node_modules/media-typer/index.js"(exports2) { var paramRegExp = /; *([!#$%&'\*\+\-\.0-9A-Z\^_`a-z\|~]+) *= *("(?:[ !\u0023-\u005b\u005d-\u007e\u0080-\u00ff]|\\[\u0020-\u007e])*"|[!#$%&'\*\+\-\.0-9A-Z\^_`a-z\|~]+) */g; var textRegExp = /^[\u0020-\u007e\u0080-\u00ff]+$/; var tokenRegExp = /^[!#$%&'\*\+\-\.0-9A-Z\^_`a-z\|~]+$/; var qescRegExp = /\\([\u0000-\u007f])/g; var quoteRegExp = /([\\"])/g; var subtypeNameRegExp = /^[A-Za-z0-9][A-Za-z0-9!#$&^_.-]{0,126}$/; var typeNameRegExp = /^[A-Za-z0-9][A-Za-z0-9!#$&^_-]{0,126}$/; var typeRegExp = /^ *([A-Za-z0-9][A-Za-z0-9!#$&^_-]{0,126})\/([A-Za-z0-9][A-Za-z0-9!#$&^_.+-]{0,126}) *$/; exports2.format = format; exports2.parse = parse; function format(obj) { if (!obj || typeof obj !== "object") { throw new TypeError("argument obj is required"); } var parameters = obj.parameters; var subtype = obj.subtype; var suffix = obj.suffix; var type = obj.type; if (!type || !typeNameRegExp.test(type)) { throw new TypeError("invalid type"); } if (!subtype || !subtypeNameRegExp.test(subtype)) { throw new TypeError("invalid subtype"); } var string = type + "/" + subtype; if (suffix) { if (!typeNameRegExp.test(suffix)) { throw new TypeError("invalid suffix"); } string += "+" + suffix; } if (parameters && typeof parameters === "object") { var param; var params = Object.keys(parameters).sort(); for (var i = 0; i < params.length; i++) { param = params[i]; if (!tokenRegExp.test(param)) { throw new TypeError("invalid parameter name"); } string += "; " + param + "=" + qstring(parameters[param]); } } return string; } function parse(string) { if (!string) { throw new TypeError("argument string is required"); } if (typeof string === "object") { string = getcontenttype(string); } if (typeof string !== "string") { throw new TypeError("argument string is required to be a string"); } var index = string.indexOf(";"); var type = index !== -1 ? string.substr(0, index) : string; var key; var match; var obj = splitType(type); var params = {}; var value; paramRegExp.lastIndex = index; while (match = paramRegExp.exec(string)) { if (match.index !== index) { throw new TypeError("invalid parameter format"); } index += match[0].length; key = match[1].toLowerCase(); value = match[2]; if (value[0] === '"') { value = value.substr(1, value.length - 2).replace(qescRegExp, "$1"); } params[key] = value; } if (index !== -1 && index !== string.length) { throw new TypeError("invalid parameter format"); } obj.parameters = params; return obj; } function getcontenttype(obj) { if (typeof obj.getHeader === "function") { return obj.getHeader("content-type"); } if (typeof obj.headers === "object") { return obj.headers && obj.headers["content-type"]; } } function qstring(val) { var str = String(val); if (tokenRegExp.test(str)) { return str; } if (str.length > 0 && !textRegExp.test(str)) { throw new TypeError("invalid parameter value"); } return '"' + str.replace(quoteRegExp, "\\$1") + '"'; } function splitType(string) { var match = typeRegExp.exec(string.toLowerCase()); if (!match) { throw new TypeError("invalid media type"); } var type = match[1]; var subtype = match[2]; var suffix; var index = subtype.lastIndexOf("+"); if (index !== -1) { suffix = subtype.substr(index + 1); subtype = subtype.substr(0, index); } var obj = { type, subtype, suffix }; return obj; } } }); var require_db = __commonJS({ "node_modules/mime-db/db.json"(exports2, module2) { module2.exports = { "application/1d-interleaved-parityfec": { source: "iana" }, "application/3gpdash-qoe-report+xml": { source: "iana", charset: "UTF-8", compressible: true }, "application/3gpp-ims+xml": { source: "iana", compressible: true }, "application/3gpphal+json": { source: "iana", compressible: true }, "application/3gpphalforms+json": { source: "iana", compressible: true }, "application/a2l": { source: "iana" }, "application/ace+cbor": { source: "iana" }, "application/activemessage": { source: "iana" }, "application/activity+json": { source: "iana", compressible: true }, "application/alto-costmap+json": { source: "iana", compressible: true }, "application/alto-costmapfilter+json": { source: "iana", compressible: true }, "application/alto-directory+json": { source: "iana", compressible: true }, "application/alto-endpointcost+json": { source: "iana", compressible: true }, "application/alto-endpointcostparams+json": { source: "iana", compressible: true }, "application/alto-endpointprop+json": { source: "iana", compressible: true }, "application/alto-endpointpropparams+json": { source: "iana", compressible: true }, "application/alto-error+json": { source: "iana", compressible: true }, "application/alto-networkmap+json": { source: "iana", compressible: true }, "application/alto-networkmapfilter+json": { source: "iana", compressible: true }, "application/alto-updatestreamcontrol+json": { source: "iana", compressible: true }, "application/alto-updatestreamparams+json": { source: "iana", compressible: true }, "application/aml": { source: "iana" }, "application/andrew-inset": { source: "iana", extensions: ["ez"] }, "application/applefile": { source: "iana" }, "application/applixware": { source: "apache", extensions: ["aw"] }, "application/at+jwt": { source: "iana" }, "application/atf": { source: "iana" }, "application/atfx": { source: "iana" }, "application/atom+xml": { source: "iana", compressible: true, extensions: ["atom"] }, "application/atomcat+xml": { source: "iana", compressible: true, extensions: ["atomcat"] }, "application/atomdeleted+xml": { source: "iana", compressible: true, extensions: ["atomdeleted"] }, "application/atomicmail": { source: "iana" }, "application/atomsvc+xml": { source: "iana", compressible: true, extensions: ["atomsvc"] }, "application/atsc-dwd+xml": { source: "iana", compressible: true, extensions: ["dwd"] }, "application/atsc-dynamic-event-message": { source: "iana" }, "application/atsc-held+xml": { source: "iana", compressible: true, extensions: ["held"] }, "application/atsc-rdt+json": { source: "iana", compressible: true }, "application/atsc-rsat+xml": { source: "iana", compressible: true, extensions: ["rsat"] }, "application/atxml": { source: "iana" }, "application/auth-policy+xml": { source: "iana", compressible: true }, "application/bacnet-xdd+zip": { source: "iana", compressible: false }, "application/batch-smtp": { source: "iana" }, "application/bdoc": { compressible: false, extensions: ["bdoc"] }, "application/beep+xml": { source: "iana", charset: "UTF-8", compressible: true }, "application/calendar+json": { source: "iana", compressible: true }, "application/calendar+xml": { source: "iana", compressible: true, extensions: ["xcs"] }, "application/call-completion": { source: "iana" }, "application/cals-1840": { source: "iana" }, "application/captive+json": { source: "iana", compressible: true }, "application/cbor": { source: "iana" }, "application/cbor-seq": { source: "iana" }, "application/cccex": { source: "iana" }, "application/ccmp+xml": { source: "iana", compressible: true }, "application/ccxml+xml": { source: "iana", compressible: true, extensions: ["ccxml"] }, "application/cdfx+xml": { source: "iana", compressible: true, extensions: ["cdfx"] }, "application/cdmi-capability": { source: "iana", extensions: ["cdmia"] }, "application/cdmi-container": { source: "iana", extensions: ["cdmic"] }, "application/cdmi-domain": { source: "iana", extensions: ["cdmid"] }, "application/cdmi-object": { source: "iana", extensions: ["cdmio"] }, "application/cdmi-queue": { source: "iana", extensions: ["cdmiq"] }, "application/cdni": { source: "iana" }, "application/cea": { source: "iana" }, "application/cea-2018+xml": { source: "iana", compressible: true }, "application/cellml+xml": { source: "iana", compressible: true }, "application/cfw": { source: "iana" }, "application/city+json": { source: "iana", compressible: true }, "application/clr": { source: "iana" }, "application/clue+xml": { source: "iana", compressible: true }, "application/clue_info+xml": { source: "iana", compressible: true }, "application/cms": { source: "iana" }, "application/cnrp+xml": { source: "iana", compressible: true }, "application/coap-group+json": { source: "iana", compressible: true }, "application/coap-payload": { source: "iana" }, "application/commonground": { source: "iana" }, "application/conference-info+xml": { source: "iana", compressible: true }, "application/cose": { source: "iana" }, "application/cose-key": { source: "iana" }, "application/cose-key-set": { source: "iana" }, "application/cpl+xml": { source: "iana", compressible: true, extensions: ["cpl"] }, "application/csrattrs": { source: "iana" }, "application/csta+xml": { source: "iana", compressible: true }, "application/cstadata+xml": { source: "iana", compressible: true }, "application/csvm+json": { source: "iana", compressible: true }, "application/cu-seeme": { source: "apache", extensions: ["cu"] }, "application/cwt": { source: "iana" }, "application/cybercash": { source: "iana" }, "application/dart": { compressible: true }, "application/dash+xml": { source: "iana", compressible: true, extensions: ["mpd"] }, "application/dash-patch+xml": { source: "iana", compressible: true, extensions: ["mpp"] }, "application/dashdelta": { source: "iana" }, "application/davmount+xml": { source: "iana", compressible: true, extensions: ["davmount"] }, "application/dca-rft": { source: "iana" }, "application/dcd": { source: "iana" }, "application/dec-dx": { source: "iana" }, "application/dialog-info+xml": { source: "iana", compressible: true }, "application/dicom": { source: "iana" }, "application/dicom+json": { source: "iana", compressible: true }, "application/dicom+xml": { source: "iana", compressible: true }, "application/dii": { source: "iana" }, "application/dit": { source: "iana" }, "application/dns": { source: "iana" }, "application/dns+json": { source: "iana", compressible: true }, "application/dns-message": { source: "iana" }, "application/docbook+xml": { source: "apache", compressible: true, extensions: ["dbk"] }, "application/dots+cbor": { source: "iana" }, "application/dskpp+xml": { source: "iana", compressible: true }, "application/dssc+der": { source: "iana", extensions: ["dssc"] }, "application/dssc+xml": { source: "iana", compressible: true, extensions: ["xdssc"] }, "application/dvcs": { source: "iana" }, "application/ecmascript": { source: "iana", compressible: true, extensions: ["es", "ecma"] }, "application/edi-consent": { source: "iana" }, "application/edi-x12": { source: "iana", compressible: false }, "application/edifact": { source: "iana", compressible: false }, "application/efi": { source: "iana" }, "application/elm+json": { source: "iana", charset: "UTF-8", compressible: true }, "application/elm+xml": { source: "iana", compressible: true }, "application/emergencycalldata.cap+xml": { source: "iana", charset: "UTF-8", compressible: true }, "application/emergencycalldata.comment+xml": { source: "iana", compressible: true }, "application/emergencycalldata.control+xml": { source: "iana", compressible: true }, "application/emergencycalldata.deviceinfo+xml": { source: "iana", compressible: true }, "application/emergencycalldata.ecall.msd": { source: "iana" }, "application/emergencycalldata.providerinfo+xml": { source: "iana", compressible: true }, "application/emergencycalldata.serviceinfo+xml": { source: "iana", compressible: true }, "application/emergencycalldata.subscriberinfo+xml": { source: "iana", compressible: true }, "application/emergencycalldata.veds+xml": { source: "iana", compressible: true }, "application/emma+xml": { source: "iana", compressible: true, extensions: ["emma"] }, "application/emotionml+xml": { source: "iana", compressible: true, extensions: ["emotionml"] }, "application/encaprtp": { source: "iana" }, "application/epp+xml": { source: "iana", compressible: true }, "application/epub+zip": { source: "iana", compressible: false, extensions: ["epub"] }, "application/eshop": { source: "iana" }, "application/exi": { source: "iana", extensions: ["exi"] }, "application/expect-ct-report+json": { source: "iana", compressible: true }, "application/express": { source: "iana", extensions: ["exp"] }, "application/fastinfoset": { source: "iana" }, "application/fastsoap": { source: "iana" }, "application/fdt+xml": { source: "iana", compressible: true, extensions: ["fdt"] }, "application/fhir+json": { source: "iana", charset: "UTF-8", compressible: true }, "application/fhir+xml": { source: "iana", charset: "UTF-8", compressible: true }, "application/fido.trusted-apps+json": { compressible: true }, "application/fits": { source: "iana" }, "application/flexfec": { source: "iana" }, "application/font-sfnt": { source: "iana" }, "application/font-tdpfr": { source: "iana", extensions: ["pfr"] }, "application/font-woff": { source: "iana", compressible: false }, "application/framework-attributes+xml": { source: "iana", compressible: true }, "application/geo+json": { source: "iana", compressible: true, extensions: ["geojson"] }, "application/geo+json-seq": { source: "iana" }, "application/geopackage+sqlite3": { source: "iana" }, "application/geoxacml+xml": { source: "iana", compressible: true }, "application/gltf-buffer": { source: "iana" }, "application/gml+xml": { source: "iana", compressible: true, extensions: ["gml"] }, "application/gpx+xml": { source: "apache", compressible: true, extensions: ["gpx"] }, "application/gxf": { source: "apache", extensions: ["gxf"] }, "application/gzip": { source: "iana", compressible: false, extensions: ["gz"] }, "application/h224": { source: "iana" }, "application/held+xml": { source: "iana", compressible: true }, "application/hjson": { extensions: ["hjson"] }, "application/http": { source: "iana" }, "application/hyperstudio": { source: "iana", extensions: ["stk"] }, "application/ibe-key-request+xml": { source: "iana", compressible: true }, "application/ibe-pkg-reply+xml": { source: "iana", compressible: true }, "application/ibe-pp-data": { source: "iana" }, "application/iges": { source: "iana" }, "application/im-iscomposing+xml": { source: "iana", charset: "UTF-8", compressible: true }, "application/index": { source: "iana" }, "application/index.cmd": { source: "iana" }, "application/index.obj": { source: "iana" }, "application/index.response": { source: "iana" }, "application/index.vnd": { source: "iana" }, "application/inkml+xml": { source: "iana", compressible: true, extensions: ["ink", "inkml"] }, "application/iotp": { source: "iana" }, "application/ipfix": { source: "iana", extensions: ["ipfix"] }, "application/ipp": { source: "iana" }, "application/isup": { source: "iana" }, "application/its+xml": { source: "iana", compressible: true, extensions: ["its"] }, "application/java-archive": { source: "apache", compressible: false, extensions: ["jar", "war", "ear"] }, "application/java-serialized-object": { source: "apache", compressible: false, extensions: ["ser"] }, "application/java-vm": { source: "apache", compressible: false, extensions: ["class"] }, "application/javascript": { source: "iana", charset: "UTF-8", compressible: true, extensions: ["js", "mjs"] }, "application/jf2feed+json": { source: "iana", compressible: true }, "application/jose": { source: "iana" }, "application/jose+json": { source: "iana", compressible: true }, "application/jrd+json": { source: "iana", compressible: true }, "application/jscalendar+json": { source: "iana", compressible: true }, "application/json": { source: "iana", charset: "UTF-8", compressible: true, extensions: ["json", "map"] }, "application/json-patch+json": { source: "iana", compressible: true }, "application/json-seq": { source: "iana" }, "application/json5": { extensions: ["json5"] }, "application/jsonml+json": { source: "apache", compressible: true, extensions: ["jsonml"] }, "application/jwk+json": { source: "iana", compressible: true }, "application/jwk-set+json": { source: "iana", compressible: true }, "application/jwt": { source: "iana" }, "application/kpml-request+xml": { source: 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"apache", extensions: ["c", "cc", "cxx", "cpp", "h", "hh", "dic"] }, "text/x-component": { source: "nginx", extensions: ["htc"] }, "text/x-fortran": { source: "apache", extensions: ["f", "for", "f77", "f90"] }, "text/x-gwt-rpc": { compressible: true }, "text/x-handlebars-template": { extensions: ["hbs"] }, "text/x-java-source": { source: "apache", extensions: ["java"] }, "text/x-jquery-tmpl": { compressible: true }, "text/x-lua": { extensions: ["lua"] }, "text/x-markdown": { compressible: true, extensions: ["mkd"] }, "text/x-nfo": { source: "apache", extensions: ["nfo"] }, "text/x-opml": { source: "apache", extensions: ["opml"] }, "text/x-org": { compressible: true, extensions: ["org"] }, "text/x-pascal": { source: "apache", extensions: ["p", "pas"] }, "text/x-processing": { compressible: true, extensions: ["pde"] }, "text/x-sass": { extensions: ["sass"] }, "text/x-scss": { extensions: ["scss"] }, "text/x-setext": { source: "apache", extensions: ["etx"] }, "text/x-sfv": { source: "apache", extensions: ["sfv"] }, "text/x-suse-ymp": { compressible: true, extensions: ["ymp"] }, "text/x-uuencode": { source: "apache", extensions: ["uu"] }, "text/x-vcalendar": { source: "apache", extensions: ["vcs"] }, "text/x-vcard": { source: "apache", extensions: ["vcf"] }, "text/xml": { source: "iana", compressible: true, extensions: ["xml"] }, "text/xml-external-parsed-entity": { source: "iana" }, "text/yaml": { compressible: true, extensions: ["yaml", "yml"] }, "video/1d-interleaved-parityfec": { source: "iana" }, "video/3gpp": { source: "iana", extensions: ["3gp", "3gpp"] }, "video/3gpp-tt": { source: "iana" }, "video/3gpp2": { source: "iana", extensions: ["3g2"] }, "video/av1": { source: "iana" }, "video/bmpeg": { source: "iana" }, "video/bt656": { source: "iana" }, "video/celb": { source: "iana" }, "video/dv": { source: "iana" }, "video/encaprtp": { source: "iana" }, "video/ffv1": { source: "iana" }, "video/flexfec": { source: "iana" }, "video/h261": { source: "iana", extensions: ["h261"] }, "video/h263": { source: "iana", extensions: ["h263"] }, "video/h263-1998": { source: "iana" }, "video/h263-2000": { source: "iana" }, "video/h264": { source: "iana", extensions: ["h264"] }, "video/h264-rcdo": { source: "iana" }, "video/h264-svc": { source: "iana" }, "video/h265": { source: "iana" }, "video/iso.segment": { source: "iana", extensions: ["m4s"] }, "video/jpeg": { source: "iana", extensions: ["jpgv"] }, "video/jpeg2000": { source: "iana" }, "video/jpm": { source: "apache", extensions: ["jpm", "jpgm"] }, "video/jxsv": { source: "iana" }, "video/mj2": { source: "iana", extensions: ["mj2", "mjp2"] }, "video/mp1s": { source: "iana" }, "video/mp2p": { source: "iana" }, "video/mp2t": { source: "iana", extensions: ["ts"] }, "video/mp4": { source: "iana", compressible: false, extensions: ["mp4", "mp4v", "mpg4"] }, "video/mp4v-es": { source: "iana" }, "video/mpeg": { source: "iana", compressible: false, extensions: ["mpeg", "mpg", "mpe", "m1v", "m2v"] }, "video/mpeg4-generic": { source: "iana" }, "video/mpv": { source: "iana" }, "video/nv": { source: "iana" }, "video/ogg": { source: "iana", compressible: false, extensions: ["ogv"] }, "video/parityfec": { source: "iana" }, "video/pointer": { source: "iana" }, "video/quicktime": { source: "iana", compressible: false, extensions: ["qt", "mov"] }, "video/raptorfec": { source: "iana" }, "video/raw": { source: "iana" }, "video/rtp-enc-aescm128": { source: "iana" }, "video/rtploopback": { source: "iana" }, "video/rtx": { source: "iana" }, "video/scip": { source: "iana" }, "video/smpte291": { source: "iana" }, "video/smpte292m": { source: "iana" }, "video/ulpfec": { source: "iana" }, "video/vc1": { source: "iana" }, "video/vc2": { source: "iana" }, "video/vnd.cctv": { source: "iana" }, "video/vnd.dece.hd": { source: "iana", extensions: ["uvh", "uvvh"] }, "video/vnd.dece.mobile": { source: "iana", extensions: ["uvm", "uvvm"] }, "video/vnd.dece.mp4": { source: "iana" }, "video/vnd.dece.pd": { source: "iana", extensions: ["uvp", "uvvp"] }, "video/vnd.dece.sd": { source: "iana", extensions: ["uvs", "uvvs"] }, "video/vnd.dece.video": { source: "iana", extensions: ["uvv", "uvvv"] }, "video/vnd.directv.mpeg": { source: "iana" }, "video/vnd.directv.mpeg-tts": { source: "iana" }, "video/vnd.dlna.mpeg-tts": { source: "iana" }, "video/vnd.dvb.file": { source: "iana", extensions: ["dvb"] }, "video/vnd.fvt": { source: "iana", extensions: ["fvt"] }, "video/vnd.hns.video": { source: "iana" }, "video/vnd.iptvforum.1dparityfec-1010": { source: "iana" }, "video/vnd.iptvforum.1dparityfec-2005": { source: "iana" }, "video/vnd.iptvforum.2dparityfec-1010": { source: "iana" }, "video/vnd.iptvforum.2dparityfec-2005": { source: "iana" }, "video/vnd.iptvforum.ttsavc": { source: "iana" }, "video/vnd.iptvforum.ttsmpeg2": { source: "iana" }, "video/vnd.motorola.video": { source: "iana" }, "video/vnd.motorola.videop": { source: "iana" }, "video/vnd.mpegurl": { source: "iana", extensions: ["mxu", "m4u"] }, "video/vnd.ms-playready.media.pyv": { source: "iana", extensions: ["pyv"] }, "video/vnd.nokia.interleaved-multimedia": { source: "iana" }, "video/vnd.nokia.mp4vr": { source: "iana" }, "video/vnd.nokia.videovoip": { source: "iana" }, "video/vnd.objectvideo": { source: "iana" }, "video/vnd.radgamettools.bink": { source: "iana" }, "video/vnd.radgamettools.smacker": { source: "iana" }, "video/vnd.sealed.mpeg1": { source: "iana" }, "video/vnd.sealed.mpeg4": { source: "iana" }, "video/vnd.sealed.swf": { source: "iana" }, "video/vnd.sealedmedia.softseal.mov": { source: "iana" }, "video/vnd.uvvu.mp4": { source: "iana", extensions: ["uvu", "uvvu"] }, "video/vnd.vivo": { source: "iana", extensions: ["viv"] }, "video/vnd.youtube.yt": { source: "iana" }, "video/vp8": { source: "iana" }, "video/vp9": { source: "iana" }, "video/webm": { source: "apache", compressible: false, extensions: ["webm"] }, "video/x-f4v": { source: "apache", extensions: ["f4v"] }, "video/x-fli": { source: "apache", extensions: ["fli"] }, "video/x-flv": { source: "apache", compressible: false, extensions: ["flv"] }, "video/x-m4v": { source: "apache", extensions: ["m4v"] }, "video/x-matroska": { source: "apache", compressible: false, extensions: ["mkv", "mk3d", "mks"] }, "video/x-mng": { source: "apache", extensions: ["mng"] }, "video/x-ms-asf": { source: "apache", extensions: ["asf", "asx"] }, "video/x-ms-vob": { source: "apache", extensions: ["vob"] }, "video/x-ms-wm": { source: "apache", extensions: ["wm"] }, "video/x-ms-wmv": { source: "apache", compressible: false, extensions: ["wmv"] }, "video/x-ms-wmx": { source: "apache", extensions: ["wmx"] }, "video/x-ms-wvx": { source: "apache", extensions: ["wvx"] }, "video/x-msvideo": { source: "apache", extensions: ["avi"] }, "video/x-sgi-movie": { source: "apache", extensions: ["movie"] }, "video/x-smv": { source: "apache", extensions: ["smv"] }, "x-conference/x-cooltalk": { source: "apache", extensions: ["ice"] }, "x-shader/x-fragment": { compressible: true }, "x-shader/x-vertex": { compressible: true } }; } }); var require_mime_db = __commonJS({ "node_modules/mime-db/index.js"(exports2, module2) { module2.exports = require_db(); } }); var require_mime_types = __commonJS({ "node_modules/mime-types/index.js"(exports2) { "use strict"; var db = require_mime_db(); var extname = require("path").extname; var EXTRACT_TYPE_REGEXP = /^\s*([^;\s]*)(?:;|\s|$)/; var TEXT_TYPE_REGEXP = /^text\//i; exports2.charset = charset; exports2.charsets = { lookup: charset }; exports2.contentType = contentType; exports2.extension = extension; exports2.extensions = /* @__PURE__ */ Object.create(null); exports2.lookup = lookup; exports2.types = /* @__PURE__ */ Object.create(null); populateMaps(exports2.extensions, exports2.types); function charset(type) { if (!type || typeof type !== "string") { return false; } var match = EXTRACT_TYPE_REGEXP.exec(type); var mime2 = match && db[match[1].toLowerCase()]; if (mime2 && mime2.charset) { return mime2.charset; } if (match && TEXT_TYPE_REGEXP.test(match[1])) { return "UTF-8"; } return false; } function contentType(str) { if (!str || typeof str !== "string") { return false; } var mime2 = str.indexOf("/") === -1 ? exports2.lookup(str) : str; if (!mime2) { return false; } if (mime2.indexOf("charset") === -1) { var charset2 = exports2.charset(mime2); if (charset2) mime2 += "; charset=" + charset2.toLowerCase(); } return mime2; } function extension(type) { if (!type || typeof type !== "string") { return false; } var match = EXTRACT_TYPE_REGEXP.exec(type); var exts = match && exports2.extensions[match[1].toLowerCase()]; if (!exts || !exts.length) { return false; } return exts[0]; } function lookup(path2) { if (!path2 || typeof path2 !== "string") { return false; } var extension2 = extname("x." + path2).toLowerCase().substr(1); if (!extension2) { return false; } return exports2.types[extension2] || false; } function populateMaps(extensions, types) { var preference = ["nginx", "apache", void 0, "iana"]; Object.keys(db).forEach(function forEachMimeType(type) { var mime2 = db[type]; var exts = mime2.extensions; if (!exts || !exts.length) { return; } extensions[type] = exts; for (var i = 0; i < exts.length; i++) { var extension2 = exts[i]; if (types[extension2]) { var from = preference.indexOf(db[types[extension2]].source); var to = preference.indexOf(mime2.source); if (types[extension2] !== "application/octet-stream" && (from > to || from === to && types[extension2].substr(0, 12) === "application/")) { continue; } } types[extension2] = type; } }); } } }); var require_type_is = __commonJS({ "node_modules/type-is/index.js"(exports2, module2) { "use strict"; var typer = require_media_typer(); var mime2 = require_mime_types(); module2.exports = typeofrequest; module2.exports.is = typeis; module2.exports.hasBody = hasbody; module2.exports.normalize = normalize; module2.exports.match = mimeMatch; function typeis(value, types_) { var i; var types = types_; var val = tryNormalizeType(value); if (!val) { return false; } if (types && !Array.isArray(types)) { types = new Array(arguments.length - 1); for (i = 0; i < types.length; i++) { types[i] = arguments[i + 1]; } } if (!types || !types.length) { return val; } var type; for (i = 0; i < types.length; i++) { if (mimeMatch(normalize(type = types[i]), val)) { return type[0] === "+" || type.indexOf("*") !== -1 ? val : type; } } return false; } function hasbody(req) { return req.headers["transfer-encoding"] !== void 0 || !isNaN(req.headers["content-length"]); } function typeofrequest(req, types_) { var types = types_; if (!hasbody(req)) { return null; } if (arguments.length > 2) { types = new Array(arguments.length - 1); for (var i = 0; i < types.length; i++) { types[i] = arguments[i + 1]; } } var value = req.headers["content-type"]; return typeis(value, types); } function normalize(type) { if (typeof type !== "string") { return false; } switch (type) { case "urlencoded": return "application/x-www-form-urlencoded"; case "multipart": return "multipart/*"; } if (type[0] === "+") { return "*/*" + type; } return type.indexOf("/") === -1 ? mime2.lookup(type) : type; } function mimeMatch(expected, actual) { if (expected === false) { return false; } var actualParts = actual.split("/"); var expectedParts = expected.split("/"); if (actualParts.length !== 2 || expectedParts.length !== 2) { return false; } if (expectedParts[0] !== "*" && expectedParts[0] !== actualParts[0]) { return false; } if (expectedParts[1].substr(0, 2) === "*+") { return expectedParts[1].length <= actualParts[1].length + 1 && expectedParts[1].substr(1) === actualParts[1].substr(1 - expectedParts[1].length); } if (expectedParts[1] !== "*" && expectedParts[1] !== actualParts[1]) { return false; } return true; } function normalizeType(value) { var type = typer.parse(value); type.parameters = void 0; return typer.format(type); } function tryNormalizeType(value) { if (!value) { return null; } try { return normalizeType(value); } catch (err) { return null; } } } }); var require_json = __commonJS({ "node_modules/body-parser/lib/types/json.js"(exports2, module2) { "use strict"; var bytes = require_bytes(); var contentType = require_content_type(); var createError = require_http_errors(); var debug = require_src()("body-parser:json"); var isFinished = require_on_finished().isFinished; var read = require_read(); var typeis = require_type_is(); module2.exports = json; var FIRST_CHAR_REGEXP = /^[\x20\x09\x0a\x0d]*([^\x20\x09\x0a\x0d])/; var JSON_SYNTAX_CHAR = "#"; var JSON_SYNTAX_REGEXP = /#+/g; function json(options) { var opts = options || {}; var limit = typeof opts.limit !== "number" ? bytes.parse(opts.limit || "100kb") : opts.limit; var inflate = opts.inflate !== false; var reviver = opts.reviver; var strict = opts.strict !== false; var type = opts.type || "application/json"; var verify = opts.verify || false; if (verify !== false && typeof verify !== "function") { throw new TypeError("option verify must be function"); } var shouldParse = typeof type !== "function" ? typeChecker(type) : type; function parse(body) { if (body.length === 0) { return {}; } if (strict) { var first = firstchar(body); if (first !== "{" && first !== "[") { debug("strict violation"); throw createStrictSyntaxError(body, first); } } try { debug("parse json"); return JSON.parse(body, reviver); } catch (e) { throw normalizeJsonSyntaxError(e, { message: e.message, stack: e.stack }); } } return function jsonParser(req, res, next) { if (isFinished(req)) { debug("body already parsed"); next(); return; } if (!("body" in req)) { req.body = void 0; } if (!typeis.hasBody(req)) { debug("skip empty body"); next(); return; } debug("content-type %j", req.headers["content-type"]); if (!shouldParse(req)) { debug("skip parsing"); next(); return; } var charset = getCharset(req) || "utf-8"; if (charset.slice(0, 4) !== "utf-") { debug("invalid charset"); next(createError(415, 'unsupported charset "' + charset.toUpperCase() + '"', { charset, type: "charset.unsupported" })); return; } read(req, res, next, parse, debug, { encoding: charset, inflate, limit, verify }); }; } function createStrictSyntaxError(str, char) { var index = str.indexOf(char); var partial = ""; if (index !== -1) { partial = str.substring(0, index) + JSON_SYNTAX_CHAR; for (var i = index + 1; i < str.length; i++) { partial += JSON_SYNTAX_CHAR; } } try { JSON.parse(partial); throw new SyntaxError("strict violation"); } catch (e) { return normalizeJsonSyntaxError(e, { message: e.message.replace(JSON_SYNTAX_REGEXP, function(placeholder) { return str.substring(index, index + placeholder.length); }), stack: e.stack }); } } function firstchar(str) { var match = FIRST_CHAR_REGEXP.exec(str); return match ? match[1] : void 0; } function getCharset(req) { try { return (contentType.parse(req).parameters.charset || "").toLowerCase(); } catch (e) { return void 0; } } function normalizeJsonSyntaxError(error, obj) { var keys = Object.getOwnPropertyNames(error); for (var i = 0; i < keys.length; i++) { var key = keys[i]; if (key !== "stack" && key !== "message") { delete error[key]; } } error.stack = obj.stack.replace(error.message, obj.message); error.message = obj.message; return error; } function typeChecker(type) { return function checkType(req) { return Boolean(typeis(req, type)); }; } } }); var require_raw = __commonJS({ "node_modules/body-parser/lib/types/raw.js"(exports2, module2) { "use strict"; var bytes = require_bytes(); var debug = require_src()("body-parser:raw"); var isFinished = require_on_finished().isFinished; var read = require_read(); var typeis = require_type_is(); module2.exports = raw; function raw(options) { var opts = options || {}; var inflate = opts.inflate !== false; var limit = typeof opts.limit !== "number" ? bytes.parse(opts.limit || "100kb") : opts.limit; var type = opts.type || "application/octet-stream"; var verify = opts.verify || false; if (verify !== false && typeof verify !== "function") { throw new TypeError("option verify must be function"); } var shouldParse = typeof type !== "function" ? typeChecker(type) : type; function parse(buf) { return buf; } return function rawParser(req, res, next) { if (isFinished(req)) { debug("body already parsed"); next(); return; } if (!("body" in req)) { req.body = void 0; } if (!typeis.hasBody(req)) { debug("skip empty body"); next(); return; } debug("content-type %j", req.headers["content-type"]); if (!shouldParse(req)) { debug("skip parsing"); next(); return; } read(req, res, next, parse, debug, { encoding: null, inflate, limit, verify }); }; } function typeChecker(type) { return function checkType(req) { return Boolean(typeis(req, type)); }; } } }); var require_text = __commonJS({ "node_modules/body-parser/lib/types/text.js"(exports2, module2) { "use strict"; var bytes = require_bytes(); var contentType = require_content_type(); var debug = require_src()("body-parser:text"); var isFinished = require_on_finished().isFinished; var read = require_read(); var typeis = require_type_is(); module2.exports = text; function text(options) { var opts = options || {}; var defaultCharset = opts.defaultCharset || "utf-8"; var inflate = opts.inflate !== false; var limit = typeof opts.limit !== "number" ? bytes.parse(opts.limit || "100kb") : opts.limit; var type = opts.type || "text/plain"; var verify = opts.verify || false; if (verify !== false && typeof verify !== "function") { throw new TypeError("option verify must be function"); } var shouldParse = typeof type !== "function" ? typeChecker(type) : type; function parse(buf) { return buf; } return function textParser(req, res, next) { if (isFinished(req)) { debug("body already parsed"); next(); return; } if (!("body" in req)) { req.body = void 0; } if (!typeis.hasBody(req)) { debug("skip empty body"); next(); return; } debug("content-type %j", req.headers["content-type"]); if (!shouldParse(req)) { debug("skip parsing"); next(); return; } var charset = getCharset(req) || defaultCharset; read(req, res, next, parse, debug, { encoding: charset, inflate, limit, verify }); }; } function getCharset(req) { try { return (contentType.parse(req).parameters.charset || "").toLowerCase(); } catch (e) { return void 0; } } function typeChecker(type) { return function checkType(req) { return Boolean(typeis(req, type)); }; } } }); var require_es_errors = __commonJS({ "node_modules/es-errors/index.js"(exports2, module2) { "use strict"; module2.exports = Error; } }); var require_eval = __commonJS({ "node_modules/es-errors/eval.js"(exports2, module2) { "use strict"; module2.exports = EvalError; } }); var require_range = __commonJS({ "node_modules/es-errors/range.js"(exports2, module2) { "use strict"; module2.exports = RangeError; } }); var require_ref = __commonJS({ "node_modules/es-errors/ref.js"(exports2, module2) { "use strict"; module2.exports = ReferenceError; } }); var require_syntax = __commonJS({ "node_modules/es-errors/syntax.js"(exports2, module2) { "use strict"; module2.exports = SyntaxError; } }); var require_type = __commonJS({ "node_modules/es-errors/type.js"(exports2, module2) { "use strict"; module2.exports = TypeError; } }); var require_uri = __commonJS({ "node_modules/es-errors/uri.js"(exports2, module2) { "use strict"; module2.exports = URIError; } }); var require_shams = __commonJS({ "node_modules/has-symbols/shams.js"(exports2, module2) { "use strict"; module2.exports = function hasSymbols() { if (typeof Symbol !== "function" || typeof Object.getOwnPropertySymbols !== "function") { return false; } if (typeof Symbol.iterator === "symbol") { return true; } var obj = {}; var sym = Symbol("test"); var symObj = Object(sym); if (typeof sym === "string") { return false; } if (Object.prototype.toString.call(sym) !== "[object Symbol]") { return false; } if (Object.prototype.toString.call(symObj) !== "[object Symbol]") { return false; } var symVal = 42; obj[sym] = symVal; for (sym in obj) { return false; } if (typeof Object.keys === "function" && Object.keys(obj).length !== 0) { return false; } if (typeof Object.getOwnPropertyNames === "function" && Object.getOwnPropertyNames(obj).length !== 0) { return false; } var syms = Object.getOwnPropertySymbols(obj); if (syms.length !== 1 || syms[0] !== sym) { return false; } if (!Object.prototype.propertyIsEnumerable.call(obj, sym)) { return false; } if (typeof Object.getOwnPropertyDescriptor === "function") { var descriptor = Object.getOwnPropertyDescriptor(obj, sym); if (descriptor.value !== symVal || descriptor.enumerable !== true) { return false; } } return true; }; } }); var require_has_symbols = __commonJS({ "node_modules/has-symbols/index.js"(exports2, module2) { "use strict"; var origSymbol = typeof Symbol !== "undefined" && Symbol; var hasSymbolSham = require_shams(); module2.exports = function hasNativeSymbols() { if (typeof origSymbol !== "function") { return false; } if (typeof Symbol !== "function") { return false; } if (typeof origSymbol("foo") !== "symbol") { return false; } if (typeof Symbol("bar") !== "symbol") { return false; } return hasSymbolSham(); }; } }); var require_has_proto = __commonJS({ "node_modules/has-proto/index.js"(exports2, module2) { "use strict"; var test = { __proto__: null, foo: {} }; var $Object = Object; module2.exports = function hasProto() { return { __proto__: test }.foo === test.foo && !(test instanceof $Object); }; } }); var require_implementation = __commonJS({ "node_modules/function-bind/implementation.js"(exports2, module2) { "use strict"; var ERROR_MESSAGE = "Function.prototype.bind called on incompatible "; var toStr = Object.prototype.toString; var max = Math.max; var funcType = "[object Function]"; var concatty = function concatty2(a, b) { var arr = []; for (var i = 0; i < a.length; i += 1) { arr[i] = a[i]; } for (var j = 0; j < b.length; j += 1) { arr[j + a.length] = b[j]; } return arr; }; var slicy = function slicy2(arrLike, offset) { var arr = []; for (var i = offset || 0, j = 0; i < arrLike.length; i += 1, j += 1) { arr[j] = arrLike[i]; } return arr; }; var joiny = function(arr, joiner) { var str = ""; for (var i = 0; i < arr.length; i += 1) { str += arr[i]; if (i + 1 < arr.length) { str += joiner; } } return str; }; module2.exports = function bind(that) { var target = this; if (typeof target !== "function" || toStr.apply(target) !== funcType) { throw new TypeError(ERROR_MESSAGE + target); } var args2 = slicy(arguments, 1); var bound; var binder = function() { if (this instanceof bound) { var result = target.apply(this, concatty(args2, arguments)); if (Object(result) === result) { return result; } return this; } return target.apply(that, concatty(args2, arguments)); }; var boundLength = max(0, target.length - args2.length); var boundArgs = []; for (var i = 0; i < boundLength; i++) { boundArgs[i] = "$" + i; } bound = Function("binder", "return function (" + joiny(boundArgs, ",") + "){ return binder.apply(this,arguments); }")(binder); if (target.prototype) { var Empty = function Empty2() { }; Empty.prototype = target.prototype; bound.prototype = new Empty(); Empty.prototype = null; } return bound; }; } }); var require_function_bind = __commonJS({ "node_modules/function-bind/index.js"(exports2, module2) { "use strict"; var implementation = require_implementation(); module2.exports = Function.prototype.bind || implementation; } }); var require_hasown = __commonJS({ "node_modules/hasown/index.js"(exports2, module2) { "use strict"; var call = Function.prototype.call; var $hasOwn = Object.prototype.hasOwnProperty; var bind = require_function_bind(); module2.exports = bind.call(call, $hasOwn); } }); var require_get_intrinsic = __commonJS({ "node_modules/get-intrinsic/index.js"(exports2, module2) { "use strict"; var undefined2; var $Error = require_es_errors(); var $EvalError = require_eval(); var $RangeError = require_range(); var $ReferenceError = require_ref(); var $SyntaxError = require_syntax(); var $TypeError = require_type(); var $URIError = require_uri(); var $Function = Function; var getEvalledConstructor = function(expressionSyntax) { try { return $Function('"use strict"; return (' + expressionSyntax + ").constructor;")(); } catch (e) { } }; var $gOPD = Object.getOwnPropertyDescriptor; if ($gOPD) { try { $gOPD({}, ""); } catch (e) { $gOPD = null; } } var throwTypeError = function() { throw new $TypeError(); }; var ThrowTypeError = $gOPD ? function() { try { arguments.callee; return throwTypeError; } catch (calleeThrows) { try { return $gOPD(arguments, "callee").get; } catch (gOPDthrows) { return throwTypeError; } } }() : throwTypeError; var hasSymbols = require_has_symbols()(); var hasProto = require_has_proto()(); var getProto = Object.getPrototypeOf || (hasProto ? function(x) { return x.__proto__; } : null); var needsEval = {}; var TypedArray = typeof Uint8Array === "undefined" || !getProto ? undefined2 : getProto(Uint8Array); var INTRINSICS = { __proto__: null, "%AggregateError%": typeof AggregateError === "undefined" ? undefined2 : AggregateError, "%Array%": Array, "%ArrayBuffer%": typeof ArrayBuffer === "undefined" ? undefined2 : ArrayBuffer, "%ArrayIteratorPrototype%": hasSymbols && getProto ? getProto([][Symbol.iterator]()) : undefined2, "%AsyncFromSyncIteratorPrototype%": undefined2, "%AsyncFunction%": needsEval, "%AsyncGenerator%": needsEval, "%AsyncGeneratorFunction%": needsEval, "%AsyncIteratorPrototype%": needsEval, "%Atomics%": typeof Atomics === "undefined" ? undefined2 : Atomics, "%BigInt%": typeof BigInt === "undefined" ? undefined2 : BigInt, "%BigInt64Array%": typeof BigInt64Array === "undefined" ? undefined2 : BigInt64Array, "%BigUint64Array%": typeof BigUint64Array === "undefined" ? undefined2 : BigUint64Array, "%Boolean%": Boolean, "%DataView%": typeof DataView === "undefined" ? undefined2 : DataView, "%Date%": Date, "%decodeURI%": decodeURI, "%decodeURIComponent%": decodeURIComponent, "%encodeURI%": encodeURI, "%encodeURIComponent%": encodeURIComponent, "%Error%": $Error, "%eval%": eval, "%EvalError%": $EvalError, "%Float32Array%": typeof Float32Array === "undefined" ? undefined2 : Float32Array, "%Float64Array%": typeof Float64Array === "undefined" ? undefined2 : Float64Array, "%FinalizationRegistry%": typeof FinalizationRegistry === "undefined" ? undefined2 : FinalizationRegistry, "%Function%": $Function, "%GeneratorFunction%": needsEval, "%Int8Array%": typeof Int8Array === "undefined" ? undefined2 : Int8Array, "%Int16Array%": typeof Int16Array === "undefined" ? undefined2 : Int16Array, "%Int32Array%": typeof Int32Array === "undefined" ? undefined2 : Int32Array, "%isFinite%": isFinite, "%isNaN%": isNaN, "%IteratorPrototype%": hasSymbols && getProto ? getProto(getProto([][Symbol.iterator]())) : undefined2, "%JSON%": typeof JSON === "object" ? JSON : undefined2, "%Map%": typeof Map === "undefined" ? undefined2 : Map, "%MapIteratorPrototype%": typeof Map === "undefined" || !hasSymbols || !getProto ? undefined2 : getProto((/* @__PURE__ */ new Map())[Symbol.iterator]()), "%Math%": Math, "%Number%": Number, "%Object%": Object, "%parseFloat%": parseFloat, "%parseInt%": parseInt, "%Promise%": typeof Promise === "undefined" ? undefined2 : Promise, "%Proxy%": typeof Proxy === "undefined" ? undefined2 : Proxy, "%RangeError%": $RangeError, "%ReferenceError%": $ReferenceError, "%Reflect%": typeof Reflect === "undefined" ? undefined2 : Reflect, "%RegExp%": RegExp, "%Set%": typeof Set === "undefined" ? undefined2 : Set, "%SetIteratorPrototype%": typeof Set === "undefined" || !hasSymbols || !getProto ? undefined2 : getProto((/* @__PURE__ */ new Set())[Symbol.iterator]()), "%SharedArrayBuffer%": typeof SharedArrayBuffer === "undefined" ? undefined2 : SharedArrayBuffer, "%String%": String, "%StringIteratorPrototype%": hasSymbols && getProto ? getProto(""[Symbol.iterator]()) : undefined2, "%Symbol%": hasSymbols ? Symbol : undefined2, "%SyntaxError%": $SyntaxError, "%ThrowTypeError%": ThrowTypeError, "%TypedArray%": TypedArray, "%TypeError%": $TypeError, "%Uint8Array%": typeof Uint8Array === "undefined" ? undefined2 : Uint8Array, "%Uint8ClampedArray%": typeof Uint8ClampedArray === "undefined" ? undefined2 : Uint8ClampedArray, "%Uint16Array%": typeof Uint16Array === "undefined" ? undefined2 : Uint16Array, "%Uint32Array%": typeof Uint32Array === "undefined" ? undefined2 : Uint32Array, "%URIError%": $URIError, "%WeakMap%": typeof WeakMap === "undefined" ? undefined2 : WeakMap, "%WeakRef%": typeof WeakRef === "undefined" ? undefined2 : WeakRef, "%WeakSet%": typeof WeakSet === "undefined" ? undefined2 : WeakSet }; if (getProto) { try { null.error; } catch (e) { errorProto = getProto(getProto(e)); INTRINSICS["%Error.prototype%"] = errorProto; } } var errorProto; var doEval = function doEval2(name) { var value; if (name === "%AsyncFunction%") { value = getEvalledConstructor("async function () {}"); } else if (name === "%GeneratorFunction%") { value = getEvalledConstructor("function* () {}"); } else if (name === "%AsyncGeneratorFunction%") { value = getEvalledConstructor("async function* () {}"); } else if (name === "%AsyncGenerator%") { var fn2 = doEval2("%AsyncGeneratorFunction%"); if (fn2) { value = fn2.prototype; } } else if (name === "%AsyncIteratorPrototype%") { var gen = doEval2("%AsyncGenerator%"); if (gen && getProto) { value = getProto(gen.prototype); } } INTRINSICS[name] = value; return value; }; var LEGACY_ALIASES = { __proto__: null, "%ArrayBufferPrototype%": ["ArrayBuffer", "prototype"], "%ArrayPrototype%": ["Array", "prototype"], "%ArrayProto_entries%": ["Array", "prototype", "entries"], "%ArrayProto_forEach%": ["Array", "prototype", "forEach"], "%ArrayProto_keys%": ["Array", "prototype", "keys"], "%ArrayProto_values%": ["Array", "prototype", "values"], "%AsyncFunctionPrototype%": ["AsyncFunction", "prototype"], "%AsyncGenerator%": ["AsyncGeneratorFunction", "prototype"], "%AsyncGeneratorPrototype%": ["AsyncGeneratorFunction", "prototype", "prototype"], "%BooleanPrototype%": ["Boolean", "prototype"], "%DataViewPrototype%": ["DataView", "prototype"], "%DatePrototype%": ["Date", "prototype"], "%ErrorPrototype%": ["Error", "prototype"], "%EvalErrorPrototype%": ["EvalError", "prototype"], "%Float32ArrayPrototype%": ["Float32Array", "prototype"], "%Float64ArrayPrototype%": ["Float64Array", "prototype"], "%FunctionPrototype%": ["Function", "prototype"], "%Generator%": ["GeneratorFunction", "prototype"], "%GeneratorPrototype%": ["GeneratorFunction", "prototype", "prototype"], "%Int8ArrayPrototype%": ["Int8Array", "prototype"], "%Int16ArrayPrototype%": ["Int16Array", "prototype"], "%Int32ArrayPrototype%": ["Int32Array", "prototype"], "%JSONParse%": ["JSON", "parse"], "%JSONStringify%": ["JSON", "stringify"], "%MapPrototype%": ["Map", "prototype"], "%NumberPrototype%": ["Number", "prototype"], "%ObjectPrototype%": ["Object", "prototype"], "%ObjProto_toString%": ["Object", "prototype", "toString"], "%ObjProto_valueOf%": ["Object", "prototype", "valueOf"], "%PromisePrototype%": ["Promise", "prototype"], "%PromiseProto_then%": ["Promise", "prototype", "then"], "%Promise_all%": ["Promise", "all"], "%Promise_reject%": ["Promise", "reject"], "%Promise_resolve%": ["Promise", "resolve"], "%RangeErrorPrototype%": ["RangeError", "prototype"], "%ReferenceErrorPrototype%": ["ReferenceError", "prototype"], "%RegExpPrototype%": ["RegExp", "prototype"], "%SetPrototype%": ["Set", "prototype"], "%SharedArrayBufferPrototype%": ["SharedArrayBuffer", "prototype"], "%StringPrototype%": ["String", "prototype"], "%SymbolPrototype%": ["Symbol", "prototype"], "%SyntaxErrorPrototype%": ["SyntaxError", "prototype"], "%TypedArrayPrototype%": ["TypedArray", "prototype"], "%TypeErrorPrototype%": ["TypeError", "prototype"], "%Uint8ArrayPrototype%": ["Uint8Array", "prototype"], "%Uint8ClampedArrayPrototype%": ["Uint8ClampedArray", "prototype"], "%Uint16ArrayPrototype%": ["Uint16Array", "prototype"], "%Uint32ArrayPrototype%": ["Uint32Array", "prototype"], "%URIErrorPrototype%": ["URIError", "prototype"], "%WeakMapPrototype%": ["WeakMap", "prototype"], "%WeakSetPrototype%": ["WeakSet", "prototype"] }; var bind = require_function_bind(); var hasOwn = require_hasown(); var $concat = bind.call(Function.call, Array.prototype.concat); var $spliceApply = bind.call(Function.apply, Array.prototype.splice); var $replace = bind.call(Function.call, String.prototype.replace); var $strSlice = bind.call(Function.call, String.prototype.slice); var $exec = bind.call(Function.call, RegExp.prototype.exec); var rePropName = /[^%.[\]]+|\[(?:(-?\d+(?:\.\d+)?)|(["'])((?:(?!\2)[^\\]|\\.)*?)\2)\]|(?=(?:\.|\[\])(?:\.|\[\]|%$))/g; var reEscapeChar = /\\(\\)?/g; var stringToPath = function stringToPath2(string) { var first = $strSlice(string, 0, 1); var last = $strSlice(string, -1); if (first === "%" && last !== "%") { throw new $SyntaxError("invalid intrinsic syntax, expected closing `%`"); } else if (last === "%" && first !== "%") { throw new $SyntaxError("invalid intrinsic syntax, expected opening `%`"); } var result = []; $replace(string, rePropName, function(match, number, quote, subString) { result[result.length] = quote ? $replace(subString, reEscapeChar, "$1") : number || match; }); return result; }; var getBaseIntrinsic = function getBaseIntrinsic2(name, allowMissing) { var intrinsicName = name; var alias; if (hasOwn(LEGACY_ALIASES, intrinsicName)) { alias = LEGACY_ALIASES[intrinsicName]; intrinsicName = "%" + alias[0] + "%"; } if (hasOwn(INTRINSICS, intrinsicName)) { var value = INTRINSICS[intrinsicName]; if (value === needsEval) { value = doEval(intrinsicName); } if (typeof value === "undefined" && !allowMissing) { throw new $TypeError("intrinsic " + name + " exists, but is not available. Please file an issue!"); } return { alias, name: intrinsicName, value }; } throw new $SyntaxError("intrinsic " + name + " does not exist!"); }; module2.exports = function GetIntrinsic(name, allowMissing) { if (typeof name !== "string" || name.length === 0) { throw new $TypeError("intrinsic name must be a non-empty string"); } if (arguments.length > 1 && typeof allowMissing !== "boolean") { throw new $TypeError('"allowMissing" argument must be a boolean'); } if ($exec(/^%?[^%]*%?$/, name) === null) { throw new $SyntaxError("`%` may not be present anywhere but at the beginning and end of the intrinsic name"); } var parts = stringToPath(name); var intrinsicBaseName = parts.length > 0 ? parts[0] : ""; var intrinsic = getBaseIntrinsic("%" + intrinsicBaseName + "%", allowMissing); var intrinsicRealName = intrinsic.name; var value = intrinsic.value; var skipFurtherCaching = false; var alias = intrinsic.alias; if (alias) { intrinsicBaseName = alias[0]; $spliceApply(parts, $concat([0, 1], alias)); } for (var i = 1, isOwn = true; i < parts.length; i += 1) { var part = parts[i]; var first = $strSlice(part, 0, 1); var last = $strSlice(part, -1); if ((first === '"' || first === "'" || first === "`" || (last === '"' || last === "'" || last === "`")) && first !== last) { throw new $SyntaxError("property names with quotes must have matching quotes"); } if (part === "constructor" || !isOwn) { skipFurtherCaching = true; } intrinsicBaseName += "." + part; intrinsicRealName = "%" + intrinsicBaseName + "%"; if (hasOwn(INTRINSICS, intrinsicRealName)) { value = INTRINSICS[intrinsicRealName]; } else if (value != null) { if (!(part in value)) { if (!allowMissing) { throw new $TypeError("base intrinsic for " + name + " exists, but the property is not available."); } return void 0; } if ($gOPD && i + 1 >= parts.length) { var desc = $gOPD(value, part); isOwn = !!desc; if (isOwn && "get" in desc && !("originalValue" in desc.get)) { value = desc.get; } else { value = value[part]; } } else { isOwn = hasOwn(value, part); value = value[part]; } if (isOwn && !skipFurtherCaching) { INTRINSICS[intrinsicRealName] = value; } } } return value; }; } }); var require_es_define_property = __commonJS({ "node_modules/es-define-property/index.js"(exports2, module2) { "use strict"; var GetIntrinsic = require_get_intrinsic(); var $defineProperty = GetIntrinsic("%Object.defineProperty%", true) || false; if ($defineProperty) { try { $defineProperty({}, "a", { value: 1 }); } catch (e) { $defineProperty = false; } } module2.exports = $defineProperty; } }); var require_gopd = __commonJS({ "node_modules/gopd/index.js"(exports2, module2) { "use strict"; var GetIntrinsic = require_get_intrinsic(); var $gOPD = GetIntrinsic("%Object.getOwnPropertyDescriptor%", true); if ($gOPD) { try { $gOPD([], "length"); } catch (e) { $gOPD = null; } } module2.exports = $gOPD; } }); var require_define_data_property = __commonJS({ "node_modules/define-data-property/index.js"(exports2, module2) { "use strict"; var $defineProperty = require_es_define_property(); var $SyntaxError = require_syntax(); var $TypeError = require_type(); var gopd = require_gopd(); module2.exports = function defineDataProperty(obj, property, value) { if (!obj || typeof obj !== "object" && typeof obj !== "function") { throw new $TypeError("`obj` must be an object or a function`"); } if (typeof property !== "string" && typeof property !== "symbol") { throw new $TypeError("`property` must be a string or a symbol`"); } if (arguments.length > 3 && typeof arguments[3] !== "boolean" && arguments[3] !== null) { throw new $TypeError("`nonEnumerable`, if provided, must be a boolean or null"); } if (arguments.length > 4 && typeof arguments[4] !== "boolean" && arguments[4] !== null) { throw new $TypeError("`nonWritable`, if provided, must be a boolean or null"); } if (arguments.length > 5 && typeof arguments[5] !== "boolean" && arguments[5] !== null) { throw new $TypeError("`nonConfigurable`, if provided, must be a boolean or null"); } if (arguments.length > 6 && typeof arguments[6] !== "boolean") { throw new $TypeError("`loose`, if provided, must be a boolean"); } var nonEnumerable = arguments.length > 3 ? arguments[3] : null; var nonWritable = arguments.length > 4 ? arguments[4] : null; var nonConfigurable = arguments.length > 5 ? arguments[5] : null; var loose = arguments.length > 6 ? arguments[6] : false; var desc = !!gopd && gopd(obj, property); if ($defineProperty) { $defineProperty(obj, property, { configurable: nonConfigurable === null && desc ? desc.configurable : !nonConfigurable, enumerable: nonEnumerable === null && desc ? desc.enumerable : !nonEnumerable, value, writable: nonWritable === null && desc ? desc.writable : !nonWritable }); } else if (loose || !nonEnumerable && !nonWritable && !nonConfigurable) { obj[property] = value; } else { throw new $SyntaxError("This environment does not support defining a property as non-configurable, non-writable, or non-enumerable."); } }; } }); var require_has_property_descriptors = __commonJS({ "node_modules/has-property-descriptors/index.js"(exports2, module2) { "use strict"; var $defineProperty = require_es_define_property(); var hasPropertyDescriptors = function hasPropertyDescriptors2() { return !!$defineProperty; }; hasPropertyDescriptors.hasArrayLengthDefineBug = function hasArrayLengthDefineBug() { if (!$defineProperty) { return null; } try { return $defineProperty([], "length", { value: 1 }).length !== 1; } catch (e) { return true; } }; module2.exports = hasPropertyDescriptors; } }); var require_set_function_length = __commonJS({ "node_modules/set-function-length/index.js"(exports2, module2) { "use strict"; var GetIntrinsic = require_get_intrinsic(); var define2 = require_define_data_property(); var hasDescriptors = require_has_property_descriptors()(); var gOPD = require_gopd(); var $TypeError = require_type(); var $floor = GetIntrinsic("%Math.floor%"); module2.exports = function setFunctionLength(fn2, length) { if (typeof fn2 !== "function") { throw new $TypeError("`fn` is not a function"); } if (typeof length !== "number" || length < 0 || length > 4294967295 || $floor(length) !== length) { throw new $TypeError("`length` must be a positive 32-bit integer"); } var loose = arguments.length > 2 && !!arguments[2]; var functionLengthIsConfigurable = true; var functionLengthIsWritable = true; if ("length" in fn2 && gOPD) { var desc = gOPD(fn2, "length"); if (desc && !desc.configurable) { functionLengthIsConfigurable = false; } if (desc && !desc.writable) { functionLengthIsWritable = false; } } if (functionLengthIsConfigurable || functionLengthIsWritable || !loose) { if (hasDescriptors) { define2(fn2, "length", length, true, true); } else { define2(fn2, "length", length); } } return fn2; }; } }); var require_call_bind = __commonJS({ "node_modules/call-bind/index.js"(exports2, module2) { "use strict"; var bind = require_function_bind(); var GetIntrinsic = require_get_intrinsic(); var setFunctionLength = require_set_function_length(); var $TypeError = require_type(); var $apply = GetIntrinsic("%Function.prototype.apply%"); var $call = GetIntrinsic("%Function.prototype.call%"); var $reflectApply = GetIntrinsic("%Reflect.apply%", true) || bind.call($call, $apply); var $defineProperty = require_es_define_property(); var $max = GetIntrinsic("%Math.max%"); module2.exports = function callBind(originalFunction) { if (typeof originalFunction !== "function") { throw new $TypeError("a function is required"); } var func = $reflectApply(bind, $call, arguments); return setFunctionLength(func, 1 + $max(0, originalFunction.length - (arguments.length - 1)), true); }; var applyBind = function applyBind2() { return $reflectApply(bind, $apply, arguments); }; if ($defineProperty) { $defineProperty(module2.exports, "apply", { value: applyBind }); } else { module2.exports.apply = applyBind; } } }); var require_callBound = __commonJS({ "node_modules/call-bind/callBound.js"(exports2, module2) { "use strict"; var GetIntrinsic = require_get_intrinsic(); var callBind = require_call_bind(); var $indexOf = callBind(GetIntrinsic("String.prototype.indexOf")); module2.exports = function callBoundIntrinsic(name, allowMissing) { var intrinsic = GetIntrinsic(name, !!allowMissing); if (typeof intrinsic === "function" && $indexOf(name, ".prototype.") > -1) { return callBind(intrinsic); } return intrinsic; }; } }); var require_util_inspect = __commonJS({ "node_modules/object-inspect/util.inspect.js"(exports2, module2) { module2.exports = require("util").inspect; } }); var require_object_inspect = __commonJS({ "node_modules/object-inspect/index.js"(exports2, module2) { var hasMap = typeof Map === "function" && Map.prototype; var mapSizeDescriptor = Object.getOwnPropertyDescriptor && hasMap ? Object.getOwnPropertyDescriptor(Map.prototype, "size") : null; var mapSize = hasMap && mapSizeDescriptor && typeof mapSizeDescriptor.get === "function" ? mapSizeDescriptor.get : null; var mapForEach = hasMap && Map.prototype.forEach; var hasSet = typeof Set === "function" && Set.prototype; var setSizeDescriptor = Object.getOwnPropertyDescriptor && hasSet ? Object.getOwnPropertyDescriptor(Set.prototype, "size") : null; var setSize = hasSet && setSizeDescriptor && typeof setSizeDescriptor.get === "function" ? setSizeDescriptor.get : null; var setForEach = hasSet && Set.prototype.forEach; var hasWeakMap = typeof WeakMap === "function" && WeakMap.prototype; var weakMapHas = hasWeakMap ? WeakMap.prototype.has : null; var hasWeakSet = typeof WeakSet === "function" && WeakSet.prototype; var weakSetHas = hasWeakSet ? WeakSet.prototype.has : null; var hasWeakRef = typeof WeakRef === "function" && WeakRef.prototype; var weakRefDeref = hasWeakRef ? WeakRef.prototype.deref : null; var booleanValueOf = Boolean.prototype.valueOf; var objectToString = Object.prototype.toString; var functionToString = Function.prototype.toString; var $match = String.prototype.match; var $slice = String.prototype.slice; var $replace = String.prototype.replace; var $toUpperCase = String.prototype.toUpperCase; var $toLowerCase = String.prototype.toLowerCase; var $test = RegExp.prototype.test; var $concat = Array.prototype.concat; var $join = Array.prototype.join; var $arrSlice = Array.prototype.slice; var $floor = Math.floor; var bigIntValueOf = typeof BigInt === "function" ? BigInt.prototype.valueOf : null; var gOPS = Object.getOwnPropertySymbols; var symToString = typeof Symbol === "function" && typeof Symbol.iterator === "symbol" ? Symbol.prototype.toString : null; var hasShammedSymbols = typeof Symbol === "function" && typeof Symbol.iterator === "object"; var toStringTag = typeof Symbol === "function" && Symbol.toStringTag && (typeof Symbol.toStringTag === hasShammedSymbols ? "object" : "symbol") ? Symbol.toStringTag : null; var isEnumerable = Object.prototype.propertyIsEnumerable; var gPO = (typeof Reflect === "function" ? Reflect.getPrototypeOf : Object.getPrototypeOf) || ([].__proto__ === Array.prototype ? function(O) { return O.__proto__; } : null); function addNumericSeparator(num, str) { if (num === Infinity || num === -Infinity || num !== num || num && num > -1e3 && num < 1e3 || $test.call(/e/, str)) { return str; } var sepRegex = /[0-9](?=(?:[0-9]{3})+(?![0-9]))/g; if (typeof num === "number") { var int = num < 0 ? -$floor(-num) : $floor(num); if (int !== num) { var intStr = String(int); var dec = $slice.call(str, intStr.length + 1); return $replace.call(intStr, sepRegex, "$&_") + "." + $replace.call($replace.call(dec, /([0-9]{3})/g, "$&_"), /_$/, ""); } } return $replace.call(str, sepRegex, "$&_"); } var utilInspect = require_util_inspect(); var inspectCustom = utilInspect.custom; var inspectSymbol = isSymbol(inspectCustom) ? inspectCustom : null; module2.exports = function inspect_(obj, options, depth, seen) { var opts = options || {}; if (has(opts, "quoteStyle") && (opts.quoteStyle !== "single" && opts.quoteStyle !== "double")) { throw new TypeError('option "quoteStyle" must be "single" or "double"'); } if (has(opts, "maxStringLength") && (typeof opts.maxStringLength === "number" ? opts.maxStringLength < 0 && opts.maxStringLength !== Infinity : opts.maxStringLength !== null)) { throw new TypeError('option "maxStringLength", if provided, must be a positive integer, Infinity, or `null`'); } var customInspect = has(opts, "customInspect") ? opts.customInspect : true; if (typeof customInspect !== "boolean" && customInspect !== "symbol") { throw new TypeError("option \"customInspect\", if provided, must be `true`, `false`, or `'symbol'`"); } if (has(opts, "indent") && opts.indent !== null && opts.indent !== " " && !(parseInt(opts.indent, 10) === opts.indent && opts.indent > 0)) { throw new TypeError('option "indent" must be "\\t", an integer > 0, or `null`'); } if (has(opts, "numericSeparator") && typeof opts.numericSeparator !== "boolean") { throw new TypeError('option "numericSeparator", if provided, must be `true` or `false`'); } var numericSeparator = opts.numericSeparator; if (typeof obj === "undefined") { return "undefined"; } if (obj === null) { return "null"; } if (typeof obj === "boolean") { return obj ? "true" : "false"; } if (typeof obj === "string") { return inspectString(obj, opts); } if (typeof obj === "number") { if (obj === 0) { return Infinity / obj > 0 ? "0" : "-0"; } var str = String(obj); return numericSeparator ? addNumericSeparator(obj, str) : str; } if (typeof obj === "bigint") { var bigIntStr = String(obj) + "n"; return numericSeparator ? addNumericSeparator(obj, bigIntStr) : bigIntStr; } var maxDepth = typeof opts.depth === "undefined" ? 5 : opts.depth; if (typeof depth === "undefined") { depth = 0; } if (depth >= maxDepth && maxDepth > 0 && typeof obj === "object") { return isArray(obj) ? "[Array]" : "[Object]"; } var indent = getIndent(opts, depth); if (typeof seen === "undefined") { seen = []; } else if (indexOf(seen, obj) >= 0) { return "[Circular]"; } function inspect(value, from, noIndent) { if (from) { seen = $arrSlice.call(seen); seen.push(from); } if (noIndent) { var newOpts = { depth: opts.depth }; if (has(opts, "quoteStyle")) { newOpts.quoteStyle = opts.quoteStyle; } return inspect_(value, newOpts, depth + 1, seen); } return inspect_(value, opts, depth + 1, seen); } if (typeof obj === "function" && !isRegExp(obj)) { var name = nameOf(obj); var keys = arrObjKeys(obj, inspect); return "[Function" + (name ? ": " + name : " (anonymous)") + "]" + (keys.length > 0 ? " { " + $join.call(keys, ", ") + " }" : ""); } if (isSymbol(obj)) { var symString = hasShammedSymbols ? $replace.call(String(obj), /^(Symbol\(.*\))_[^)]*$/, "$1") : symToString.call(obj); return typeof obj === "object" && !hasShammedSymbols ? markBoxed(symString) : symString; } if (isElement(obj)) { var s = "<" + $toLowerCase.call(String(obj.nodeName)); var attrs = obj.attributes || []; for (var i = 0; i < attrs.length; i++) { s += " " + attrs[i].name + "=" + wrapQuotes(quote(attrs[i].value), "double", opts); } s += ">"; if (obj.childNodes && obj.childNodes.length) { s += "..."; } s += ""; return s; } if (isArray(obj)) { if (obj.length === 0) { return "[]"; } var xs = arrObjKeys(obj, inspect); if (indent && !singleLineValues(xs)) { return "[" + indentedJoin(xs, indent) + "]"; } return "[ " + $join.call(xs, ", ") + " ]"; } if (isError(obj)) { var parts = arrObjKeys(obj, inspect); if (!("cause" in Error.prototype) && "cause" in obj && !isEnumerable.call(obj, "cause")) { return "{ [" + String(obj) + "] " + $join.call($concat.call("[cause]: " + inspect(obj.cause), parts), ", ") + " }"; } if (parts.length === 0) { return "[" + String(obj) + "]"; } return "{ [" + String(obj) + "] " + $join.call(parts, ", ") + " }"; } if (typeof obj === "object" && customInspect) { if (inspectSymbol && typeof obj[inspectSymbol] === "function" && utilInspect) { return utilInspect(obj, { depth: maxDepth - depth }); } else if (customInspect !== "symbol" && typeof obj.inspect === "function") { return obj.inspect(); } } if (isMap(obj)) { var mapParts = []; if (mapForEach) { mapForEach.call(obj, function(value, key) { mapParts.push(inspect(key, obj, true) + " => " + inspect(value, obj)); }); } return collectionOf("Map", mapSize.call(obj), mapParts, indent); } if (isSet(obj)) { var setParts = []; if (setForEach) { setForEach.call(obj, function(value) { setParts.push(inspect(value, obj)); }); } return collectionOf("Set", setSize.call(obj), setParts, indent); } if (isWeakMap(obj)) { return weakCollectionOf("WeakMap"); } if (isWeakSet(obj)) { return weakCollectionOf("WeakSet"); } if (isWeakRef(obj)) { return weakCollectionOf("WeakRef"); } if (isNumber(obj)) { return markBoxed(inspect(Number(obj))); } if (isBigInt(obj)) { return markBoxed(inspect(bigIntValueOf.call(obj))); } if (isBoolean(obj)) { return markBoxed(booleanValueOf.call(obj)); } if (isString(obj)) { return markBoxed(inspect(String(obj))); } if (typeof window !== "undefined" && obj === window) { return "{ [object Window] }"; } if (typeof globalThis !== "undefined" && obj === globalThis || typeof global !== "undefined" && obj === global) { return "{ [object globalThis] }"; } if (!isDate(obj) && !isRegExp(obj)) { var ys = arrObjKeys(obj, inspect); var isPlainObject = gPO ? gPO(obj) === Object.prototype : obj instanceof Object || obj.constructor === Object; var protoTag = obj instanceof Object ? "" : "null prototype"; var stringTag = !isPlainObject && toStringTag && Object(obj) === obj && toStringTag in obj ? $slice.call(toStr(obj), 8, -1) : protoTag ? "Object" : ""; var constructorTag = isPlainObject || typeof obj.constructor !== "function" ? "" : obj.constructor.name ? obj.constructor.name + " " : ""; var tag = constructorTag + (stringTag || protoTag ? "[" + $join.call($concat.call([], stringTag || [], protoTag || []), ": ") + "] " : ""); if (ys.length === 0) { return tag + "{}"; } if (indent) { return tag + "{" + indentedJoin(ys, indent) + "}"; } return tag + "{ " + $join.call(ys, ", ") + " }"; } return String(obj); }; function wrapQuotes(s, defaultStyle, opts) { var quoteChar = (opts.quoteStyle || defaultStyle) === "double" ? '"' : "'"; return quoteChar + s + quoteChar; } function quote(s) { return $replace.call(String(s), /"/g, """); } function isArray(obj) { return toStr(obj) === "[object Array]" && (!toStringTag || !(typeof obj === "object" && toStringTag in obj)); } function isDate(obj) { return toStr(obj) === "[object Date]" && (!toStringTag || !(typeof obj === "object" && toStringTag in obj)); } function isRegExp(obj) { return toStr(obj) === "[object RegExp]" && (!toStringTag || !(typeof obj === "object" && toStringTag in obj)); } function isError(obj) { return toStr(obj) === "[object Error]" && (!toStringTag || !(typeof obj === "object" && toStringTag in obj)); } function isString(obj) { return toStr(obj) === "[object String]" && (!toStringTag || !(typeof obj === "object" && toStringTag in obj)); } function isNumber(obj) { return toStr(obj) === "[object Number]" && (!toStringTag || !(typeof obj === "object" && toStringTag in obj)); } function isBoolean(obj) { return toStr(obj) === "[object Boolean]" && (!toStringTag || !(typeof obj === "object" && toStringTag in obj)); } function isSymbol(obj) { if (hasShammedSymbols) { return obj && typeof obj === "object" && obj instanceof Symbol; } if (typeof obj === "symbol") { return true; } if (!obj || typeof obj !== "object" || !symToString) { return false; } try { symToString.call(obj); return true; } catch (e) { } return false; } function isBigInt(obj) { if (!obj || typeof obj !== "object" || !bigIntValueOf) { return false; } try { bigIntValueOf.call(obj); return true; } catch (e) { } return false; } var hasOwn = Object.prototype.hasOwnProperty || function(key) { return key in this; }; function has(obj, key) { return hasOwn.call(obj, key); } function toStr(obj) { return objectToString.call(obj); } function nameOf(f) { if (f.name) { return f.name; } var m = $match.call(functionToString.call(f), /^function\s*([\w$]+)/); if (m) { return m[1]; } return null; } function indexOf(xs, x) { if (xs.indexOf) { return xs.indexOf(x); } for (var i = 0, l = xs.length; i < l; i++) { if (xs[i] === x) { return i; } } return -1; } function isMap(x) { if (!mapSize || !x || typeof x !== "object") { return false; } try { mapSize.call(x); try { setSize.call(x); } catch (s) { return true; } return x instanceof Map; } catch (e) { } return false; } function isWeakMap(x) { if (!weakMapHas || !x || typeof x !== "object") { return false; } try { weakMapHas.call(x, weakMapHas); try { weakSetHas.call(x, weakSetHas); } catch (s) { return true; } return x instanceof WeakMap; } catch (e) { } return false; } function isWeakRef(x) { if (!weakRefDeref || !x || typeof x !== "object") { return false; } try { weakRefDeref.call(x); return true; } catch (e) { } return false; } function isSet(x) { if (!setSize || !x || typeof x !== "object") { return false; } try { setSize.call(x); try { mapSize.call(x); } catch (m) { return true; } return x instanceof Set; } catch (e) { } return false; } function isWeakSet(x) { if (!weakSetHas || !x || typeof x !== "object") { return false; } try { weakSetHas.call(x, weakSetHas); try { weakMapHas.call(x, weakMapHas); } catch (s) { return true; } return x instanceof WeakSet; } catch (e) { } return false; } function isElement(x) { if (!x || typeof x !== "object") { return false; } if (typeof HTMLElement !== "undefined" && x instanceof HTMLElement) { return true; } return typeof x.nodeName === "string" && typeof x.getAttribute === "function"; } function inspectString(str, opts) { if (str.length > opts.maxStringLength) { var remaining = str.length - opts.maxStringLength; var trailer = "... " + remaining + " more character" + (remaining > 1 ? "s" : ""); return inspectString($slice.call(str, 0, opts.maxStringLength), opts) + trailer; } var s = $replace.call($replace.call(str, /(['\\])/g, "\\$1"), /[\x00-\x1f]/g, lowbyte); return wrapQuotes(s, "single", opts); } function lowbyte(c) { var n = c.charCodeAt(0); var x = { 8: "b", 9: "t", 10: "n", 12: "f", 13: "r" }[n]; if (x) { return "\\" + x; } return "\\x" + (n < 16 ? "0" : "") + $toUpperCase.call(n.toString(16)); } function markBoxed(str) { return "Object(" + str + ")"; } function weakCollectionOf(type) { return type + " { ? }"; } function collectionOf(type, size, entries, indent) { var joinedEntries = indent ? indentedJoin(entries, indent) : $join.call(entries, ", "); return type + " (" + size + ") {" + joinedEntries + "}"; } function singleLineValues(xs) { for (var i = 0; i < xs.length; i++) { if (indexOf(xs[i], "\n") >= 0) { return false; } } return true; } function getIndent(opts, depth) { var baseIndent; if (opts.indent === " ") { baseIndent = " "; } else if (typeof opts.indent === "number" && opts.indent > 0) { baseIndent = $join.call(Array(opts.indent + 1), " "); } else { return null; } return { base: baseIndent, prev: $join.call(Array(depth + 1), baseIndent) }; } function indentedJoin(xs, indent) { if (xs.length === 0) { return ""; } var lineJoiner = "\n" + indent.prev + indent.base; return lineJoiner + $join.call(xs, "," + lineJoiner) + "\n" + indent.prev; } function arrObjKeys(obj, inspect) { var isArr = isArray(obj); var xs = []; if (isArr) { xs.length = obj.length; for (var i = 0; i < obj.length; i++) { xs[i] = has(obj, i) ? inspect(obj[i], obj) : ""; } } var syms = typeof gOPS === "function" ? gOPS(obj) : []; var symMap; if (hasShammedSymbols) { symMap = {}; for (var k = 0; k < syms.length; k++) { symMap["$" + syms[k]] = syms[k]; } } for (var key in obj) { if (!has(obj, key)) { continue; } if (isArr && String(Number(key)) === key && key < obj.length) { continue; } if (hasShammedSymbols && symMap["$" + key] instanceof Symbol) { continue; } else if ($test.call(/[^\w$]/, key)) { xs.push(inspect(key, obj) + ": " + inspect(obj[key], obj)); } else { xs.push(key + ": " + inspect(obj[key], obj)); } } if (typeof gOPS === "function") { for (var j = 0; j < syms.length; j++) { if (isEnumerable.call(obj, syms[j])) { xs.push("[" + inspect(syms[j]) + "]: " + inspect(obj[syms[j]], obj)); } } } return xs; } } }); var require_side_channel = __commonJS({ "node_modules/side-channel/index.js"(exports2, module2) { "use strict"; var GetIntrinsic = require_get_intrinsic(); var callBound = require_callBound(); var inspect = require_object_inspect(); var $TypeError = require_type(); var $WeakMap = GetIntrinsic("%WeakMap%", true); var $Map = GetIntrinsic("%Map%", true); var $weakMapGet = callBound("WeakMap.prototype.get", true); var $weakMapSet = callBound("WeakMap.prototype.set", true); var $weakMapHas = callBound("WeakMap.prototype.has", true); var $mapGet = callBound("Map.prototype.get", true); var $mapSet = callBound("Map.prototype.set", true); var $mapHas = callBound("Map.prototype.has", true); var listGetNode = function(list, key) { var prev = list; var curr; for (; (curr = prev.next) !== null; prev = curr) { if (curr.key === key) { prev.next = curr.next; curr.next = list.next; list.next = curr; return curr; } } }; var listGet = function(objects, key) { var node = listGetNode(objects, key); return node && node.value; }; var listSet = function(objects, key, value) { var node = listGetNode(objects, key); if (node) { node.value = value; } else { objects.next = { key, next: objects.next, value }; } }; var listHas = function(objects, key) { return !!listGetNode(objects, key); }; module2.exports = function getSideChannel() { var $wm; var $m; var $o; var channel = { assert: function(key) { if (!channel.has(key)) { throw new $TypeError("Side channel does not contain " + inspect(key)); } }, get: function(key) { if ($WeakMap && key && (typeof key === "object" || typeof key === "function")) { if ($wm) { return $weakMapGet($wm, key); } } else if ($Map) { if ($m) { return $mapGet($m, key); } } else { if ($o) { return listGet($o, key); } } }, has: function(key) { if ($WeakMap && key && (typeof key === "object" || typeof key === "function")) { if ($wm) { return $weakMapHas($wm, key); } } else if ($Map) { if ($m) { return $mapHas($m, key); } } else { if ($o) { return listHas($o, key); } } return false; }, set: function(key, value) { if ($WeakMap && key && (typeof key === "object" || typeof key === "function")) { if (!$wm) { $wm = new $WeakMap(); } $weakMapSet($wm, key, value); } else if ($Map) { if (!$m) { $m = new $Map(); } $mapSet($m, key, value); } else { if (!$o) { $o = { key: {}, next: null }; } listSet($o, key, value); } } }; return channel; }; } }); var require_formats = __commonJS({ "node_modules/qs/lib/formats.js"(exports2, module2) { "use strict"; var replace = String.prototype.replace; var percentTwenties = /%20/g; var Format = { RFC1738: "RFC1738", RFC3986: "RFC3986" }; module2.exports = { "default": Format.RFC3986, formatters: { RFC1738: function(value) { return replace.call(value, percentTwenties, "+"); }, RFC3986: function(value) { return String(value); } }, RFC1738: Format.RFC1738, RFC3986: Format.RFC3986 }; } }); var require_utils = __commonJS({ "node_modules/qs/lib/utils.js"(exports2, module2) { "use strict"; var formats = require_formats(); var has = Object.prototype.hasOwnProperty; var isArray = Array.isArray; var hexTable = function() { var array = []; for (var i = 0; i < 256; ++i) { array.push("%" + ((i < 16 ? "0" : "") + i.toString(16)).toUpperCase()); } return array; }(); var compactQueue = function compactQueue2(queue) { while (queue.length > 1) { var item = queue.pop(); var obj = item.obj[item.prop]; if (isArray(obj)) { var compacted = []; for (var j = 0; j < obj.length; ++j) { if (typeof obj[j] !== "undefined") { compacted.push(obj[j]); } } item.obj[item.prop] = compacted; } } }; var arrayToObject = function arrayToObject2(source, options) { var obj = options && options.plainObjects ? /* @__PURE__ */ Object.create(null) : {}; for (var i = 0; i < source.length; ++i) { if (typeof source[i] !== "undefined") { obj[i] = source[i]; } } return obj; }; var merge = function merge2(target, source, options) { if (!source) { return target; } if (typeof source !== "object") { if (isArray(target)) { target.push(source); } else if (target && typeof target === "object") { if (options && (options.plainObjects || options.allowPrototypes) || !has.call(Object.prototype, source)) { target[source] = true; } } else { return [target, source]; } return target; } if (!target || typeof target !== "object") { return [target].concat(source); } var mergeTarget = target; if (isArray(target) && !isArray(source)) { mergeTarget = arrayToObject(target, options); } if (isArray(target) && isArray(source)) { source.forEach(function(item, i) { if (has.call(target, i)) { var targetItem = target[i]; if (targetItem && typeof targetItem === "object" && item && typeof item === "object") { target[i] = merge2(targetItem, item, options); } else { target.push(item); } } else { target[i] = item; } }); return target; } return Object.keys(source).reduce(function(acc, key) { var value = source[key]; if (has.call(acc, key)) { acc[key] = merge2(acc[key], value, options); } else { acc[key] = value; } return acc; }, mergeTarget); }; var assign = function assignSingleSource(target, source) { return Object.keys(source).reduce(function(acc, key) { acc[key] = source[key]; return acc; }, target); }; var decode = function(str, decoder, charset) { var strWithoutPlus = str.replace(/\+/g, " "); if (charset === "iso-8859-1") { return strWithoutPlus.replace(/%[0-9a-f]{2}/gi, unescape); } try { return decodeURIComponent(strWithoutPlus); } catch (e) { return strWithoutPlus; } }; var encode = function encode2(str, defaultEncoder, charset, kind, format) { if (str.length === 0) { return str; } var string = str; if (typeof str === "symbol") { string = Symbol.prototype.toString.call(str); } else if (typeof str !== "string") { string = String(str); } if (charset === "iso-8859-1") { return escape(string).replace(/%u[0-9a-f]{4}/gi, function($0) { return "%26%23" + parseInt($0.slice(2), 16) + "%3B"; }); } var out = ""; for (var i = 0; i < string.length; ++i) { var c = string.charCodeAt(i); if (c === 45 || c === 46 || c === 95 || c === 126 || c >= 48 && c <= 57 || c >= 65 && c <= 90 || c >= 97 && c <= 122 || format === formats.RFC1738 && (c === 40 || c === 41)) { out += string.charAt(i); continue; } if (c < 128) { out = out + hexTable[c]; continue; } if (c < 2048) { out = out + (hexTable[192 | c >> 6] + hexTable[128 | c & 63]); continue; } if (c < 55296 || c >= 57344) { out = out + (hexTable[224 | c >> 12] + hexTable[128 | c >> 6 & 63] + hexTable[128 | c & 63]); continue; } i += 1; c = 65536 + ((c & 1023) << 10 | string.charCodeAt(i) & 1023); out += hexTable[240 | c >> 18] + hexTable[128 | c >> 12 & 63] + hexTable[128 | c >> 6 & 63] + hexTable[128 | c & 63]; } return out; }; var compact = function compact2(value) { var queue = [{ obj: { o: value }, prop: "o" }]; var refs = []; for (var i = 0; i < queue.length; ++i) { var item = queue[i]; var obj = item.obj[item.prop]; var keys = Object.keys(obj); for (var j = 0; j < keys.length; ++j) { var key = keys[j]; var val = obj[key]; if (typeof val === "object" && val !== null && refs.indexOf(val) === -1) { queue.push({ obj, prop: key }); refs.push(val); } } } compactQueue(queue); return value; }; var isRegExp = function isRegExp2(obj) { return Object.prototype.toString.call(obj) === "[object RegExp]"; }; var isBuffer = function isBuffer2(obj) { if (!obj || typeof obj !== "object") { return false; } return !!(obj.constructor && obj.constructor.isBuffer && obj.constructor.isBuffer(obj)); }; var combine = function combine2(a, b) { return [].concat(a, b); }; var maybeMap = function maybeMap2(val, fn2) { if (isArray(val)) { var mapped = []; for (var i = 0; i < val.length; i += 1) { mapped.push(fn2(val[i])); } return mapped; } return fn2(val); }; module2.exports = { arrayToObject, assign, combine, compact, decode, encode, isBuffer, isRegExp, maybeMap, merge }; } }); var require_stringify = __commonJS({ "node_modules/qs/lib/stringify.js"(exports2, module2) { "use strict"; var getSideChannel = require_side_channel(); var utils = require_utils(); var formats = require_formats(); var has = Object.prototype.hasOwnProperty; var arrayPrefixGenerators = { brackets: function brackets(prefix) { return prefix + "[]"; }, comma: "comma", indices: function indices(prefix, key) { return prefix + "[" + key + "]"; }, repeat: function repeat(prefix) { return prefix; } }; var isArray = Array.isArray; var split = String.prototype.split; var push = Array.prototype.push; var pushToArray = function(arr, valueOrArray) { push.apply(arr, isArray(valueOrArray) ? valueOrArray : [valueOrArray]); }; var toISO = Date.prototype.toISOString; var defaultFormat = formats["default"]; var defaults = { addQueryPrefix: false, allowDots: false, charset: "utf-8", charsetSentinel: false, delimiter: "&", encode: true, encoder: utils.encode, encodeValuesOnly: false, format: defaultFormat, formatter: formats.formatters[defaultFormat], indices: false, serializeDate: function serializeDate(date) { return toISO.call(date); }, skipNulls: false, strictNullHandling: false }; var isNonNullishPrimitive = function isNonNullishPrimitive2(v) { return typeof v === "string" || typeof v === "number" || typeof v === "boolean" || typeof v === "symbol" || typeof v === "bigint"; }; var sentinel = {}; var stringify = function stringify2(object, prefix, generateArrayPrefix, commaRoundTrip, strictNullHandling, skipNulls, encoder, filter, sort, allowDots, serializeDate, format, formatter, encodeValuesOnly, charset, sideChannel) { var obj = object; var tmpSc = sideChannel; var step = 0; var findFlag = false; while ((tmpSc = tmpSc.get(sentinel)) !== void 0 && !findFlag) { var pos = tmpSc.get(object); step += 1; if (typeof pos !== "undefined") { if (pos === step) { throw new RangeError("Cyclic object value"); } else { findFlag = true; } } if (typeof tmpSc.get(sentinel) === "undefined") { step = 0; } } if (typeof filter === "function") { obj = filter(prefix, obj); } else if (obj instanceof Date) { obj = serializeDate(obj); } else if (generateArrayPrefix === "comma" && isArray(obj)) { obj = utils.maybeMap(obj, function(value2) { if (value2 instanceof Date) { return serializeDate(value2); } return value2; }); } if (obj === null) { if (strictNullHandling) { return encoder && !encodeValuesOnly ? encoder(prefix, defaults.encoder, charset, "key", format) : prefix; } obj = ""; } if (isNonNullishPrimitive(obj) || utils.isBuffer(obj)) { if (encoder) { var keyValue = encodeValuesOnly ? prefix : encoder(prefix, defaults.encoder, charset, "key", format); if (generateArrayPrefix === "comma" && encodeValuesOnly) { var valuesArray = split.call(String(obj), ","); var valuesJoined = ""; for (var i = 0; i < valuesArray.length; ++i) { valuesJoined += (i === 0 ? "" : ",") + formatter(encoder(valuesArray[i], defaults.encoder, charset, "value", format)); } return [formatter(keyValue) + (commaRoundTrip && isArray(obj) && valuesArray.length === 1 ? "[]" : "") + "=" + valuesJoined]; } return [formatter(keyValue) + "=" + formatter(encoder(obj, defaults.encoder, charset, "value", format))]; } return [formatter(prefix) + "=" + formatter(String(obj))]; } var values = []; if (typeof obj === "undefined") { return values; } var objKeys; if (generateArrayPrefix === "comma" && isArray(obj)) { objKeys = [{ value: obj.length > 0 ? obj.join(",") || null : void 0 }]; } else if (isArray(filter)) { objKeys = filter; } else { var keys = Object.keys(obj); objKeys = sort ? keys.sort(sort) : keys; } var adjustedPrefix = commaRoundTrip && isArray(obj) && obj.length === 1 ? prefix + "[]" : prefix; for (var j = 0; j < objKeys.length; ++j) { var key = objKeys[j]; var value = typeof key === "object" && typeof key.value !== "undefined" ? key.value : obj[key]; if (skipNulls && value === null) { continue; } var keyPrefix = isArray(obj) ? typeof generateArrayPrefix === "function" ? generateArrayPrefix(adjustedPrefix, key) : adjustedPrefix : adjustedPrefix + (allowDots ? "." + key : "[" + key + "]"); sideChannel.set(object, step); var valueSideChannel = getSideChannel(); valueSideChannel.set(sentinel, sideChannel); pushToArray(values, stringify2(value, keyPrefix, generateArrayPrefix, commaRoundTrip, strictNullHandling, skipNulls, encoder, filter, sort, allowDots, serializeDate, format, formatter, encodeValuesOnly, charset, valueSideChannel)); } return values; }; var normalizeStringifyOptions = function normalizeStringifyOptions2(opts) { if (!opts) { return defaults; } if (opts.encoder !== null && typeof opts.encoder !== "undefined" && typeof opts.encoder !== "function") { throw new TypeError("Encoder has to be a function."); } var charset = opts.charset || defaults.charset; if (typeof opts.charset !== "undefined" && opts.charset !== "utf-8" && opts.charset !== "iso-8859-1") { throw new TypeError("The charset option must be either utf-8, iso-8859-1, or undefined"); } var format = formats["default"]; if (typeof opts.format !== "undefined") { if (!has.call(formats.formatters, opts.format)) { throw new TypeError("Unknown format option provided."); } format = opts.format; } var formatter = formats.formatters[format]; var filter = defaults.filter; if (typeof opts.filter === "function" || isArray(opts.filter)) { filter = opts.filter; } return { addQueryPrefix: typeof opts.addQueryPrefix === "boolean" ? opts.addQueryPrefix : defaults.addQueryPrefix, allowDots: typeof opts.allowDots === "undefined" ? defaults.allowDots : !!opts.allowDots, charset, charsetSentinel: typeof opts.charsetSentinel === "boolean" ? opts.charsetSentinel : defaults.charsetSentinel, delimiter: typeof opts.delimiter === "undefined" ? defaults.delimiter : opts.delimiter, encode: typeof opts.encode === "boolean" ? opts.encode : defaults.encode, encoder: typeof opts.encoder === "function" ? opts.encoder : defaults.encoder, encodeValuesOnly: typeof opts.encodeValuesOnly === "boolean" ? opts.encodeValuesOnly : defaults.encodeValuesOnly, filter, format, formatter, serializeDate: typeof opts.serializeDate === "function" ? opts.serializeDate : defaults.serializeDate, skipNulls: typeof opts.skipNulls === "boolean" ? opts.skipNulls : defaults.skipNulls, sort: typeof opts.sort === "function" ? opts.sort : null, strictNullHandling: typeof opts.strictNullHandling === "boolean" ? opts.strictNullHandling : defaults.strictNullHandling }; }; module2.exports = function(object, opts) { var obj = object; var options = normalizeStringifyOptions(opts); var objKeys; var filter; if (typeof options.filter === "function") { filter = options.filter; obj = filter("", obj); } else if (isArray(options.filter)) { filter = options.filter; objKeys = filter; } var keys = []; if (typeof obj !== "object" || obj === null) { return ""; } var arrayFormat; if (opts && opts.arrayFormat in arrayPrefixGenerators) { arrayFormat = opts.arrayFormat; } else if (opts && "indices" in opts) { arrayFormat = opts.indices ? "indices" : "repeat"; } else { arrayFormat = "indices"; } var generateArrayPrefix = arrayPrefixGenerators[arrayFormat]; if (opts && "commaRoundTrip" in opts && typeof opts.commaRoundTrip !== "boolean") { throw new TypeError("`commaRoundTrip` must be a boolean, or absent"); } var commaRoundTrip = generateArrayPrefix === "comma" && opts && opts.commaRoundTrip; if (!objKeys) { objKeys = Object.keys(obj); } if (options.sort) { objKeys.sort(options.sort); } var sideChannel = getSideChannel(); for (var i = 0; i < objKeys.length; ++i) { var key = objKeys[i]; if (options.skipNulls && obj[key] === null) { continue; } pushToArray(keys, stringify(obj[key], key, generateArrayPrefix, commaRoundTrip, options.strictNullHandling, options.skipNulls, options.encode ? options.encoder : null, options.filter, options.sort, options.allowDots, options.serializeDate, options.format, options.formatter, options.encodeValuesOnly, options.charset, sideChannel)); } var joined = keys.join(options.delimiter); var prefix = options.addQueryPrefix === true ? "?" : ""; if (options.charsetSentinel) { if (options.charset === "iso-8859-1") { prefix += "utf8=%26%2310003%3B&"; } else { prefix += "utf8=%E2%9C%93&"; } } return joined.length > 0 ? prefix + joined : ""; }; } }); var require_parse = __commonJS({ "node_modules/qs/lib/parse.js"(exports2, module2) { "use strict"; var utils = require_utils(); var has = Object.prototype.hasOwnProperty; var isArray = Array.isArray; var defaults = { allowDots: false, allowPrototypes: false, allowSparse: false, arrayLimit: 20, charset: "utf-8", charsetSentinel: false, comma: false, decoder: utils.decode, delimiter: "&", depth: 5, ignoreQueryPrefix: false, interpretNumericEntities: false, parameterLimit: 1e3, parseArrays: true, plainObjects: false, strictNullHandling: false }; var interpretNumericEntities = function(str) { return str.replace(/&#(\d+);/g, function($0, numberStr) { return String.fromCharCode(parseInt(numberStr, 10)); }); }; var parseArrayValue = function(val, options) { if (val && typeof val === "string" && options.comma && val.indexOf(",") > -1) { return val.split(","); } return val; }; var isoSentinel = "utf8=%26%2310003%3B"; var charsetSentinel = "utf8=%E2%9C%93"; var parseValues = function parseQueryStringValues(str, options) { var obj = {}; var cleanStr = options.ignoreQueryPrefix ? str.replace(/^\?/, "") : str; var limit = options.parameterLimit === Infinity ? void 0 : options.parameterLimit; var parts = cleanStr.split(options.delimiter, limit); var skipIndex = -1; var i; var charset = options.charset; if (options.charsetSentinel) { for (i = 0; i < parts.length; ++i) { if (parts[i].indexOf("utf8=") === 0) { if (parts[i] === charsetSentinel) { charset = "utf-8"; } else if (parts[i] === isoSentinel) { charset = "iso-8859-1"; } skipIndex = i; i = parts.length; } } } for (i = 0; i < parts.length; ++i) { if (i === skipIndex) { continue; } var part = parts[i]; var bracketEqualsPos = part.indexOf("]="); var pos = bracketEqualsPos === -1 ? part.indexOf("=") : bracketEqualsPos + 1; var key, val; if (pos === -1) { key = options.decoder(part, defaults.decoder, charset, "key"); val = options.strictNullHandling ? null : ""; } else { key = options.decoder(part.slice(0, pos), defaults.decoder, charset, "key"); val = utils.maybeMap(parseArrayValue(part.slice(pos + 1), options), function(encodedVal) { return options.decoder(encodedVal, defaults.decoder, charset, "value"); }); } if (val && options.interpretNumericEntities && charset === "iso-8859-1") { val = interpretNumericEntities(val); } if (part.indexOf("[]=") > -1) { val = isArray(val) ? [val] : val; } if (has.call(obj, key)) { obj[key] = utils.combine(obj[key], val); } else { obj[key] = val; } } return obj; }; var parseObject = function(chain, val, options, valuesParsed) { var leaf = valuesParsed ? val : parseArrayValue(val, options); for (var i = chain.length - 1; i >= 0; --i) { var obj; var root = chain[i]; if (root === "[]" && options.parseArrays) { obj = [].concat(leaf); } else { obj = options.plainObjects ? /* @__PURE__ */ Object.create(null) : {}; var cleanRoot = root.charAt(0) === "[" && root.charAt(root.length - 1) === "]" ? root.slice(1, -1) : root; var index = parseInt(cleanRoot, 10); if (!options.parseArrays && cleanRoot === "") { obj = { 0: leaf }; } else if (!isNaN(index) && root !== cleanRoot && String(index) === cleanRoot && index >= 0 && (options.parseArrays && index <= options.arrayLimit)) { obj = []; obj[index] = leaf; } else if (cleanRoot !== "__proto__") { obj[cleanRoot] = leaf; } } leaf = obj; } return leaf; }; var parseKeys = function parseQueryStringKeys(givenKey, val, options, valuesParsed) { if (!givenKey) { return; } var key = options.allowDots ? givenKey.replace(/\.([^.[]+)/g, "[$1]") : givenKey; var brackets = /(\[[^[\]]*])/; var child = /(\[[^[\]]*])/g; var segment = options.depth > 0 && brackets.exec(key); var parent = segment ? key.slice(0, segment.index) : key; var keys = []; if (parent) { if (!options.plainObjects && has.call(Object.prototype, parent)) { if (!options.allowPrototypes) { return; } } keys.push(parent); } var i = 0; while (options.depth > 0 && (segment = child.exec(key)) !== null && i < options.depth) { i += 1; if (!options.plainObjects && has.call(Object.prototype, segment[1].slice(1, -1))) { if (!options.allowPrototypes) { return; } } keys.push(segment[1]); } if (segment) { keys.push("[" + key.slice(segment.index) + "]"); } return parseObject(keys, val, options, valuesParsed); }; var normalizeParseOptions = function normalizeParseOptions2(opts) { if (!opts) { return defaults; } if (opts.decoder !== null && opts.decoder !== void 0 && typeof opts.decoder !== "function") { throw new TypeError("Decoder has to be a function."); } if (typeof opts.charset !== "undefined" && opts.charset !== "utf-8" && opts.charset !== "iso-8859-1") { throw new TypeError("The charset option must be either utf-8, iso-8859-1, or undefined"); } var charset = typeof opts.charset === "undefined" ? defaults.charset : opts.charset; return { allowDots: typeof opts.allowDots === "undefined" ? defaults.allowDots : !!opts.allowDots, allowPrototypes: typeof opts.allowPrototypes === "boolean" ? opts.allowPrototypes : defaults.allowPrototypes, allowSparse: typeof opts.allowSparse === "boolean" ? opts.allowSparse : defaults.allowSparse, arrayLimit: typeof opts.arrayLimit === "number" ? opts.arrayLimit : defaults.arrayLimit, charset, charsetSentinel: typeof opts.charsetSentinel === "boolean" ? opts.charsetSentinel : defaults.charsetSentinel, comma: typeof opts.comma === "boolean" ? opts.comma : defaults.comma, decoder: typeof opts.decoder === "function" ? opts.decoder : defaults.decoder, delimiter: typeof opts.delimiter === "string" || utils.isRegExp(opts.delimiter) ? opts.delimiter : defaults.delimiter, depth: typeof opts.depth === "number" || opts.depth === false ? +opts.depth : defaults.depth, ignoreQueryPrefix: opts.ignoreQueryPrefix === true, interpretNumericEntities: typeof opts.interpretNumericEntities === "boolean" ? opts.interpretNumericEntities : defaults.interpretNumericEntities, parameterLimit: typeof opts.parameterLimit === "number" ? opts.parameterLimit : defaults.parameterLimit, parseArrays: opts.parseArrays !== false, plainObjects: typeof opts.plainObjects === "boolean" ? opts.plainObjects : defaults.plainObjects, strictNullHandling: typeof opts.strictNullHandling === "boolean" ? opts.strictNullHandling : defaults.strictNullHandling }; }; module2.exports = function(str, opts) { var options = normalizeParseOptions(opts); if (str === "" || str === null || typeof str === "undefined") { return options.plainObjects ? /* @__PURE__ */ Object.create(null) : {}; } var tempObj = typeof str === "string" ? parseValues(str, options) : str; var obj = options.plainObjects ? /* @__PURE__ */ Object.create(null) : {}; var keys = Object.keys(tempObj); for (var i = 0; i < keys.length; ++i) { var key = keys[i]; var newObj = parseKeys(key, tempObj[key], options, typeof str === "string"); obj = utils.merge(obj, newObj, options); } if (options.allowSparse === true) { return obj; } return utils.compact(obj); }; } }); var require_lib4 = __commonJS({ "node_modules/qs/lib/index.js"(exports2, module2) { "use strict"; var stringify = require_stringify(); var parse = require_parse(); var formats = require_formats(); module2.exports = { formats, parse, stringify }; } }); var require_urlencoded = __commonJS({ "node_modules/body-parser/lib/types/urlencoded.js"(exports2, module2) { "use strict"; var bytes = require_bytes(); var contentType = require_content_type(); var createError = require_http_errors(); var debug = require_src()("body-parser:urlencoded"); var isFinished = require_on_finished().isFinished; var read = require_read(); var typeis = require_type_is(); module2.exports = urlencoded; var parsers = /* @__PURE__ */ Object.create(null); function urlencoded(options) { var opts = options || {}; var extended = Boolean(opts.extended); var inflate = opts.inflate !== false; var limit = typeof opts.limit !== "number" ? bytes.parse(opts.limit || "100kb") : opts.limit; var type = opts.type || "application/x-www-form-urlencoded"; var verify = opts.verify || false; if (verify !== false && typeof verify !== "function") { throw new TypeError("option verify must be function"); } var queryparse = extended ? extendedparser(opts) : simpleparser(opts); var shouldParse = typeof type !== "function" ? typeChecker(type) : type; function parse(body) { return body.length ? queryparse(body) : {}; } return function urlencodedParser(req, res, next) { if (isFinished(req)) { debug("body already parsed"); next(); return; } if (!("body" in req)) { req.body = void 0; } if (!typeis.hasBody(req)) { debug("skip empty body"); next(); return; } debug("content-type %j", req.headers["content-type"]); if (!shouldParse(req)) { debug("skip parsing"); next(); return; } var charset = getCharset(req) || "utf-8"; if (charset !== "utf-8") { debug("invalid charset"); next(createError(415, 'unsupported charset "' + charset.toUpperCase() + '"', { charset, type: "charset.unsupported" })); return; } read(req, res, next, parse, debug, { debug, encoding: charset, inflate, limit, verify }); }; } function extendedparser(options) { var parameterLimit = options.parameterLimit !== void 0 ? options.parameterLimit : 1e3; var parse = parser("qs"); if (isNaN(parameterLimit) || parameterLimit < 1) { throw new TypeError("option parameterLimit must be a positive number"); } if (isFinite(parameterLimit)) { parameterLimit = parameterLimit | 0; } return function queryparse(body) { var paramCount = parameterCount(body, parameterLimit); if (paramCount === void 0) { debug("too many parameters"); throw createError(413, "too many parameters", { type: "parameters.too.many" }); } var arrayLimit = Math.max(100, paramCount); debug("parse extended urlencoding"); return parse(body, { allowPrototypes: true, arrayLimit, depth: Infinity, parameterLimit }); }; } function getCharset(req) { try { return (contentType.parse(req).parameters.charset || "").toLowerCase(); } catch (e) { return void 0; } } function parameterCount(body, limit) { var count = 0; var index = 0; while ((index = body.indexOf("&", index)) !== -1) { count++; index++; if (count === limit) { return void 0; } } return count; } function parser(name) { var mod = parsers[name]; if (mod !== void 0) { return mod.parse; } switch (name) { case "qs": mod = require_lib4(); break; case "querystring": mod = require("querystring"); break; } parsers[name] = mod; return mod.parse; } function simpleparser(options) { var parameterLimit = options.parameterLimit !== void 0 ? options.parameterLimit : 1e3; var parse = parser("querystring"); if (isNaN(parameterLimit) || parameterLimit < 1) { throw new TypeError("option parameterLimit must be a positive number"); } if (isFinite(parameterLimit)) { parameterLimit = parameterLimit | 0; } return function queryparse(body) { var paramCount = parameterCount(body, parameterLimit); if (paramCount === void 0) { debug("too many parameters"); throw createError(413, "too many parameters", { type: "parameters.too.many" }); } debug("parse urlencoding"); return parse(body, void 0, void 0, { maxKeys: parameterLimit }); }; } function typeChecker(type) { return function checkType(req) { return Boolean(typeis(req, type)); }; } } }); var require_body_parser = __commonJS({ "node_modules/body-parser/index.js"(exports2, module2) { "use strict"; var parsers = /* @__PURE__ */ Object.create(null); exports2 = module2.exports = bodyParser2; Object.defineProperty(exports2, "json", { configurable: true, enumerable: true, get: createParserGetter("json") }); Object.defineProperty(exports2, "raw", { configurable: true, enumerable: true, get: createParserGetter("raw") }); Object.defineProperty(exports2, "text", { configurable: true, enumerable: true, get: createParserGetter("text") }); Object.defineProperty(exports2, "urlencoded", { configurable: true, enumerable: true, get: createParserGetter("urlencoded") }); function bodyParser2() { throw new Error("The bodyParser() generic has been split into individual middleware to use instead."); } function createParserGetter(name) { return function get() { return loadParser(name); }; } function loadParser(parserName) { var parser = parsers[parserName]; if (parser !== void 0) { return parser; } switch (parserName) { case "json": parser = require_json(); break; case "raw": parser = require_raw(); break; case "text": parser = require_text(); break; case "urlencoded": parser = require_urlencoded(); break; } return parsers[parserName] = parser; } } }); var require_merge_descriptors = __commonJS({ "node_modules/merge-descriptors/index.js"(exports2, module2) { "use strict"; module2.exports = merge; var hasOwnProperty = Object.prototype.hasOwnProperty; function merge(dest, src, redefine) { if (!dest) { throw new TypeError("argument dest is required"); } if (!src) { throw new TypeError("argument src is required"); } if (redefine === void 0) { redefine = true; } Object.getOwnPropertyNames(src).forEach(function forEachOwnPropertyName(name) { if (!redefine && hasOwnProperty.call(dest, name)) { return; } var descriptor = Object.getOwnPropertyDescriptor(src, name); Object.defineProperty(dest, name, descriptor); }); return dest; } } }); var require_ms2 = __commonJS({ "node_modules/finalhandler/node_modules/ms/index.js"(exports2, module2) { var s = 1e3; var m = s * 60; var h = m * 60; var d = h * 24; var y = d * 365.25; module2.exports = function(val, options) { options = options || {}; var type = typeof val; if (type === "string" && val.length > 0) { return parse(val); } else if (type === "number" && isNaN(val) === false) { return options.long ? fmtLong(val) : fmtShort(val); } throw new Error("val is not a non-empty string or a valid number. val=" + JSON.stringify(val)); }; function parse(str) { str = String(str); if (str.length > 100) { return; } var match = /^((?:\d+)?\.?\d+) *(milliseconds?|msecs?|ms|seconds?|secs?|s|minutes?|mins?|m|hours?|hrs?|h|days?|d|years?|yrs?|y)?$/i.exec(str); if (!match) { return; } var n = parseFloat(match[1]); var type = (match[2] || "ms").toLowerCase(); switch (type) { case "years": case "year": case "yrs": case "yr": case "y": return n * y; case "days": case "day": case "d": return n * d; case "hours": case "hour": case "hrs": case "hr": case "h": return n * h; case "minutes": case "minute": case "mins": case "min": case "m": return n * m; case "seconds": case "second": case "secs": case "sec": case "s": return n * s; case "milliseconds": case "millisecond": case "msecs": case "msec": case "ms": return n; default: return void 0; } } function fmtShort(ms) { if (ms >= d) { return Math.round(ms / d) + "d"; } if (ms >= h) { return Math.round(ms / h) + "h"; } if (ms >= m) { return Math.round(ms / m) + "m"; } if (ms >= s) { return Math.round(ms / s) + "s"; } return ms + "ms"; } function fmtLong(ms) { return plural(ms, d, "day") || plural(ms, h, "hour") || plural(ms, m, "minute") || plural(ms, s, "second") || ms + " ms"; } function plural(ms, n, name) { if (ms < n) { return; } if (ms < n * 1.5) { return Math.floor(ms / n) + " " + name; } return Math.ceil(ms / n) + " " + name + "s"; } } }); var require_debug2 = __commonJS({ "node_modules/finalhandler/node_modules/debug/src/debug.js"(exports2, module2) { exports2 = module2.exports = createDebug.debug = createDebug["default"] = createDebug; exports2.coerce = coerce; exports2.disable = disable; exports2.enable = enable; exports2.enabled = enabled; exports2.humanize = require_ms2(); exports2.names = []; exports2.skips = []; exports2.formatters = {}; var prevTime; function selectColor(namespace) { var hash = 0, i; for (i in namespace) { hash = (hash << 5) - hash + namespace.charCodeAt(i); hash |= 0; } return exports2.colors[Math.abs(hash) % exports2.colors.length]; } function createDebug(namespace) { function debug() { if (!debug.enabled) return; var self2 = debug; var curr = +new Date(); var ms = curr - (prevTime || curr); self2.diff = ms; self2.prev = prevTime; self2.curr = curr; prevTime = curr; var args2 = new Array(arguments.length); for (var i = 0; i < args2.length; i++) { args2[i] = arguments[i]; } args2[0] = exports2.coerce(args2[0]); if (typeof args2[0] !== "string") { args2.unshift("%O"); } var index = 0; args2[0] = args2[0].replace(/%([a-zA-Z%])/g, function(match, format) { if (match === "%%") return match; index++; var formatter = exports2.formatters[format]; if (typeof formatter === "function") { var val = args2[index]; match = formatter.call(self2, val); args2.splice(index, 1); index--; } return match; }); exports2.formatArgs.call(self2, args2); var logFn = debug.log || exports2.log || console.log.bind(console); logFn.apply(self2, args2); } debug.namespace = namespace; debug.enabled = exports2.enabled(namespace); debug.useColors = exports2.useColors(); debug.color = selectColor(namespace); if (typeof exports2.init === "function") { exports2.init(debug); } return debug; } function enable(namespaces) { exports2.save(namespaces); exports2.names = []; exports2.skips = []; var split = (typeof namespaces === "string" ? namespaces : "").split(/[\s,]+/); var len = split.length; for (var i = 0; i < len; i++) { if (!split[i]) continue; namespaces = split[i].replace(/\*/g, ".*?"); if (namespaces[0] === "-") { exports2.skips.push(new RegExp("^" + namespaces.substr(1) + "$")); } else { exports2.names.push(new RegExp("^" + namespaces + "$")); } } } function disable() { exports2.enable(""); } function enabled(name) { var i, len; for (i = 0, len = exports2.skips.length; i < len; i++) { if (exports2.skips[i].test(name)) { return false; } } for (i = 0, len = exports2.names.length; i < len; i++) { if (exports2.names[i].test(name)) { return true; } } return false; } function coerce(val) { if (val instanceof Error) return val.stack || val.message; return val; } } }); var require_browser2 = __commonJS({ "node_modules/finalhandler/node_modules/debug/src/browser.js"(exports2, module2) { exports2 = module2.exports = require_debug2(); exports2.log = log2; exports2.formatArgs = formatArgs; exports2.save = save; exports2.load = load; exports2.useColors = useColors; exports2.storage = typeof chrome != "undefined" && typeof chrome.storage != "undefined" ? chrome.storage.local : localstorage(); exports2.colors = [ "lightseagreen", "forestgreen", "goldenrod", "dodgerblue", "darkorchid", "crimson" ]; function useColors() { if (typeof window !== "undefined" && window.process && window.process.type === "renderer") { return true; } return typeof document !== "undefined" && document.documentElement && document.documentElement.style && document.documentElement.style.WebkitAppearance || typeof window !== "undefined" && window.console && (window.console.firebug || window.console.exception && window.console.table) || typeof navigator !== "undefined" && navigator.userAgent && navigator.userAgent.toLowerCase().match(/firefox\/(\d+)/) && parseInt(RegExp.$1, 10) >= 31 || typeof navigator !== "undefined" && navigator.userAgent && navigator.userAgent.toLowerCase().match(/applewebkit\/(\d+)/); } exports2.formatters.j = function(v) { try { return JSON.stringify(v); } catch (err) { return "[UnexpectedJSONParseError]: " + err.message; } }; function formatArgs(args2) { var useColors2 = this.useColors; args2[0] = (useColors2 ? "%c" : "") + this.namespace + (useColors2 ? " %c" : " ") + args2[0] + (useColors2 ? "%c " : " ") + "+" + exports2.humanize(this.diff); if (!useColors2) return; var c = "color: " + this.color; args2.splice(1, 0, c, "color: inherit"); var index = 0; var lastC = 0; args2[0].replace(/%[a-zA-Z%]/g, function(match) { if (match === "%%") return; index++; if (match === "%c") { lastC = index; } }); args2.splice(lastC, 0, c); } function log2() { return typeof console === "object" && console.log && Function.prototype.apply.call(console.log, console, arguments); } function save(namespaces) { try { if (namespaces == null) { exports2.storage.removeItem("debug"); } else { exports2.storage.debug = namespaces; } } catch (e) { } } function load() { var r; try { r = exports2.storage.debug; } catch (e) { } if (!r && typeof process !== "undefined" && "env" in process) { r = process.env.DEBUG; } return r; } exports2.enable(load()); function localstorage() { try { return window.localStorage; } catch (e) { } } } }); var require_node2 = __commonJS({ "node_modules/finalhandler/node_modules/debug/src/node.js"(exports2, module2) { var tty = require("tty"); var util = require("util"); exports2 = module2.exports = require_debug2(); exports2.init = init; exports2.log = log2; exports2.formatArgs = formatArgs; exports2.save = save; exports2.load = load; exports2.useColors = useColors; exports2.colors = [6, 2, 3, 4, 5, 1]; exports2.inspectOpts = Object.keys(process.env).filter(function(key) { return /^debug_/i.test(key); }).reduce(function(obj, key) { var prop = key.substring(6).toLowerCase().replace(/_([a-z])/g, function(_, k) { return k.toUpperCase(); }); var val = process.env[key]; if (/^(yes|on|true|enabled)$/i.test(val)) val = true; else if (/^(no|off|false|disabled)$/i.test(val)) val = false; else if (val === "null") val = null; else val = Number(val); obj[prop] = val; return obj; }, {}); var fd = parseInt(process.env.DEBUG_FD, 10) || 2; if (fd !== 1 && fd !== 2) { util.deprecate(function() { }, "except for stderr(2) and stdout(1), any other usage of DEBUG_FD is deprecated. Override debug.log if you want to use a different log function (https://git.io/debug_fd)")(); } var stream = fd === 1 ? process.stdout : fd === 2 ? process.stderr : createWritableStdioStream(fd); function useColors() { return "colors" in exports2.inspectOpts ? Boolean(exports2.inspectOpts.colors) : tty.isatty(fd); } exports2.formatters.o = function(v) { this.inspectOpts.colors = this.useColors; return util.inspect(v, this.inspectOpts).split("\n").map(function(str) { return str.trim(); }).join(" "); }; exports2.formatters.O = function(v) { this.inspectOpts.colors = this.useColors; return util.inspect(v, this.inspectOpts); }; function formatArgs(args2) { var name = this.namespace; var useColors2 = this.useColors; if (useColors2) { var c = this.color; var prefix = " \x1B[3" + c + ";1m" + name + " \x1B[0m"; args2[0] = prefix + args2[0].split("\n").join("\n" + prefix); args2.push("\x1B[3" + c + "m+" + exports2.humanize(this.diff) + "\x1B[0m"); } else { args2[0] = new Date().toUTCString() + " " + name + " " + args2[0]; } } function log2() { return stream.write(util.format.apply(util, arguments) + "\n"); } function save(namespaces) { if (namespaces == null) { delete process.env.DEBUG; } else { process.env.DEBUG = namespaces; } } function load() { return process.env.DEBUG; } function createWritableStdioStream(fd2) { var stream2; var tty_wrap = process.binding("tty_wrap"); switch (tty_wrap.guessHandleType(fd2)) { case "TTY": stream2 = new tty.WriteStream(fd2); stream2._type = "tty"; if (stream2._handle && stream2._handle.unref) { stream2._handle.unref(); } break; case "FILE": var fs = require("fs"); stream2 = new fs.SyncWriteStream(fd2, { autoClose: false }); stream2._type = "fs"; break; case "PIPE": case "TCP": var net = require("net"); stream2 = new net.Socket({ fd: fd2, readable: false, writable: true }); stream2.readable = false; stream2.read = null; stream2._type = "pipe"; if (stream2._handle && stream2._handle.unref) { stream2._handle.unref(); } break; default: throw new Error("Implement me. Unknown stream file type!"); } stream2.fd = fd2; stream2._isStdio = true; return stream2; } function init(debug) { debug.inspectOpts = {}; var keys = Object.keys(exports2.inspectOpts); for (var i = 0; i < keys.length; i++) { debug.inspectOpts[keys[i]] = exports2.inspectOpts[keys[i]]; } } exports2.enable(load()); } }); var require_src2 = __commonJS({ "node_modules/finalhandler/node_modules/debug/src/index.js"(exports2, module2) { if (typeof process !== "undefined" && process.type === "renderer") { module2.exports = require_browser2(); } else { module2.exports = require_node2(); } } }); var require_encodeurl = __commonJS({ "node_modules/encodeurl/index.js"(exports2, module2) { "use strict"; module2.exports = encodeUrl; var ENCODE_CHARS_REGEXP = /(?:[^\x21\x25\x26-\x3B\x3D\x3F-\x5B\x5D\x5F\x61-\x7A\x7E]|%(?:[^0-9A-Fa-f]|[0-9A-Fa-f][^0-9A-Fa-f]|$))+/g; var UNMATCHED_SURROGATE_PAIR_REGEXP = /(^|[^\uD800-\uDBFF])[\uDC00-\uDFFF]|[\uD800-\uDBFF]([^\uDC00-\uDFFF]|$)/g; var UNMATCHED_SURROGATE_PAIR_REPLACE = "$1\uFFFD$2"; function encodeUrl(url) { return String(url).replace(UNMATCHED_SURROGATE_PAIR_REGEXP, UNMATCHED_SURROGATE_PAIR_REPLACE).replace(ENCODE_CHARS_REGEXP, encodeURI); } } }); var require_escape_html = __commonJS({ "node_modules/escape-html/index.js"(exports2, module2) { "use strict"; var matchHtmlRegExp = /["'&<>]/; module2.exports = escapeHtml; function escapeHtml(string) { var str = "" + string; var match = matchHtmlRegExp.exec(str); if (!match) { return str; } var escape2; var html = ""; var index = 0; var lastIndex = 0; for (index = match.index; index < str.length; index++) { switch (str.charCodeAt(index)) { case 34: escape2 = """; break; case 38: escape2 = "&"; break; case 39: escape2 = "'"; break; case 60: escape2 = "<"; break; case 62: escape2 = ">"; break; default: continue; } if (lastIndex !== index) { html += str.substring(lastIndex, index); } lastIndex = index + 1; html += escape2; } return lastIndex !== index ? html + str.substring(lastIndex, index) : html; } } }); var require_parseurl = __commonJS({ "node_modules/parseurl/index.js"(exports2, module2) { "use strict"; var url = require("url"); var parse = url.parse; var Url = url.Url; module2.exports = parseurl; module2.exports.original = originalurl; function parseurl(req) { var url2 = req.url; if (url2 === void 0) { return void 0; } var parsed = req._parsedUrl; if (fresh(url2, parsed)) { return parsed; } parsed = fastparse(url2); parsed._raw = url2; return req._parsedUrl = parsed; } function originalurl(req) { var url2 = req.originalUrl; if (typeof url2 !== "string") { return parseurl(req); } var parsed = req._parsedOriginalUrl; if (fresh(url2, parsed)) { return parsed; } parsed = fastparse(url2); parsed._raw = url2; return req._parsedOriginalUrl = parsed; } function fastparse(str) { if (typeof str !== "string" || str.charCodeAt(0) !== 47) { return parse(str); } var pathname = str; var query = null; var search = null; for (var i = 1; i < str.length; i++) { switch (str.charCodeAt(i)) { case 63: if (search === null) { pathname = str.substring(0, i); query = str.substring(i + 1); search = str.substring(i); } break; case 9: case 10: case 12: case 13: case 32: case 35: case 160: case 65279: return parse(str); } } var url2 = Url !== void 0 ? new Url() : {}; url2.path = str; url2.href = str; url2.pathname = pathname; if (search !== null) { url2.query = query; url2.search = search; } return url2; } function fresh(url2, parsedUrl) { return typeof parsedUrl === "object" && parsedUrl !== null && (Url === void 0 || parsedUrl instanceof Url) && parsedUrl._raw === url2; } } }); var require_finalhandler = __commonJS({ "node_modules/finalhandler/index.js"(exports2, module2) { "use strict"; var debug = require_src2()("finalhandler"); var encodeUrl = require_encodeurl(); var escapeHtml = require_escape_html(); var onFinished = require_on_finished(); var parseUrl = require_parseurl(); var statuses = require_statuses(); var unpipe = require_unpipe(); var DOUBLE_SPACE_REGEXP = /\x20{2}/g; var NEWLINE_REGEXP = /\n/g; var defer = typeof setImmediate === "function" ? setImmediate : function(fn2) { process.nextTick(fn2.bind.apply(fn2, arguments)); }; var isFinished = onFinished.isFinished; function createHtmlDocument(message2) { var body = escapeHtml(message2).replace(NEWLINE_REGEXP, "
").replace(DOUBLE_SPACE_REGEXP, "  "); return '\n\n\n\nError\n\n\n
' + body + "
\n\n\n"; } module2.exports = finalhandler; function finalhandler(req, res, options) { var opts = options || {}; var env = opts.env || process.env.NODE_ENV || "development"; var onerror = opts.onerror; return function(err) { var headers; var msg; var status; if (!err && headersSent(res)) { debug("cannot 404 after headers sent"); return; } if (err) { status = getErrorStatusCode(err); if (status === void 0) { status = getResponseStatusCode(res); } else { headers = getErrorHeaders(err); } msg = getErrorMessage(err, status, env); } else { status = 404; msg = "Cannot " + req.method + " " + encodeUrl(getResourceName(req)); } debug("default %s", status); if (err && onerror) { defer(onerror, err, req, res); } if (headersSent(res)) { debug("cannot %d after headers sent", status); req.socket.destroy(); return; } send(req, res, status, headers, msg); }; } function getErrorHeaders(err) { if (!err.headers || typeof err.headers !== "object") { return void 0; } var headers = /* @__PURE__ */ Object.create(null); var keys = Object.keys(err.headers); for (var i = 0; i < keys.length; i++) { var key = keys[i]; headers[key] = err.headers[key]; } return headers; } function getErrorMessage(err, status, env) { var msg; if (env !== "production") { msg = err.stack; if (!msg && typeof err.toString === "function") { msg = err.toString(); } } return msg || statuses.message[status]; } function getErrorStatusCode(err) { if (typeof err.status === "number" && err.status >= 400 && err.status < 600) { return err.status; } if (typeof err.statusCode === "number" && err.statusCode >= 400 && err.statusCode < 600) { return err.statusCode; } return void 0; } function getResourceName(req) { try { return parseUrl.original(req).pathname; } catch (e) { return "resource"; } } function getResponseStatusCode(res) { var status = res.statusCode; if (typeof status !== "number" || status < 400 || status > 599) { status = 500; } return status; } function headersSent(res) { return typeof res.headersSent !== "boolean" ? Boolean(res._header) : res.headersSent; } function send(req, res, status, headers, message2) { function write() { var body = createHtmlDocument(message2); res.statusCode = status; res.statusMessage = statuses.message[status]; res.removeHeader("Content-Encoding"); res.removeHeader("Content-Language"); res.removeHeader("Content-Range"); setHeaders(res, headers); res.setHeader("Content-Security-Policy", "default-src 'none'"); res.setHeader("X-Content-Type-Options", "nosniff"); res.setHeader("Content-Type", "text/html; charset=utf-8"); res.setHeader("Content-Length", Buffer.byteLength(body, "utf8")); if (req.method === "HEAD") { res.end(); return; } res.end(body, "utf8"); } if (isFinished(req)) { write(); return; } unpipe(req); onFinished(req, write); req.resume(); } function setHeaders(res, headers) { if (!headers) { return; } var keys = Object.keys(headers); for (var i = 0; i < keys.length; i++) { var key = keys[i]; res.setHeader(key, headers[key]); } } } }); var require_methods = __commonJS({ "node_modules/methods/index.js"(exports2, module2) { "use strict"; var http3 = require("http"); module2.exports = getCurrentNodeMethods() || getBasicNodeMethods(); function getCurrentNodeMethods() { return http3.METHODS && http3.METHODS.map(function lowerCaseMethod(method) { return method.toLowerCase(); }); } function getBasicNodeMethods() { return [ "get", "post", "put", "head", "delete", "options", "trace", "copy", "lock", "mkcol", "move", "purge", "propfind", "proppatch", "unlock", "report", "mkactivity", "checkout", "merge", "m-search", "notify", "subscribe", "unsubscribe", "patch", "search", "connect" ]; } } }); var require_ms3 = __commonJS({ "node_modules/express/node_modules/ms/index.js"(exports2, module2) { var s = 1e3; var m = s * 60; var h = m * 60; var d = h * 24; var y = d * 365.25; module2.exports = function(val, options) { options = options || {}; var type = typeof val; if (type === "string" && val.length > 0) { return parse(val); } else if (type === "number" && isNaN(val) === false) { return options.long ? fmtLong(val) : fmtShort(val); } throw new Error("val is not a non-empty string or a valid number. val=" + JSON.stringify(val)); }; function parse(str) { str = String(str); if (str.length > 100) { return; } var match = /^((?:\d+)?\.?\d+) *(milliseconds?|msecs?|ms|seconds?|secs?|s|minutes?|mins?|m|hours?|hrs?|h|days?|d|years?|yrs?|y)?$/i.exec(str); if (!match) { return; } var n = parseFloat(match[1]); var type = (match[2] || "ms").toLowerCase(); switch (type) { case "years": case "year": case "yrs": case "yr": case "y": return n * y; case "days": case "day": case "d": return n * d; case "hours": case "hour": case "hrs": case "hr": case "h": return n * h; case "minutes": case "minute": case "mins": case "min": case "m": return n * m; case "seconds": case "second": case "secs": case "sec": case "s": return n * s; case "milliseconds": case "millisecond": case "msecs": case "msec": case "ms": return n; default: return void 0; } } function fmtShort(ms) { if (ms >= d) { return Math.round(ms / d) + "d"; } if (ms >= h) { return Math.round(ms / h) + "h"; } if (ms >= m) { return Math.round(ms / m) + "m"; } if (ms >= s) { return Math.round(ms / s) + "s"; } return ms + "ms"; } function fmtLong(ms) { return plural(ms, d, "day") || plural(ms, h, "hour") || plural(ms, m, "minute") || plural(ms, s, "second") || ms + " ms"; } function plural(ms, n, name) { if (ms < n) { return; } if (ms < n * 1.5) { return Math.floor(ms / n) + " " + name; } return Math.ceil(ms / n) + " " + name + "s"; } } }); var require_debug3 = __commonJS({ "node_modules/express/node_modules/debug/src/debug.js"(exports2, module2) { exports2 = module2.exports = createDebug.debug = createDebug["default"] = createDebug; exports2.coerce = coerce; exports2.disable = disable; exports2.enable = enable; exports2.enabled = enabled; exports2.humanize = require_ms3(); exports2.instances = []; exports2.names = []; exports2.skips = []; exports2.formatters = {}; function selectColor(namespace) { var hash = 0, i; for (i in namespace) { hash = (hash << 5) - hash + namespace.charCodeAt(i); hash |= 0; } return exports2.colors[Math.abs(hash) % exports2.colors.length]; } function createDebug(namespace) { var prevTime; function debug() { if (!debug.enabled) return; var self2 = debug; var curr = +new Date(); var ms = curr - (prevTime || curr); self2.diff = ms; self2.prev = prevTime; self2.curr = curr; prevTime = curr; var args2 = new Array(arguments.length); for (var i = 0; i < args2.length; i++) { args2[i] = arguments[i]; } args2[0] = exports2.coerce(args2[0]); if (typeof args2[0] !== "string") { args2.unshift("%O"); } var index = 0; args2[0] = args2[0].replace(/%([a-zA-Z%])/g, function(match, format) { if (match === "%%") return match; index++; var formatter = exports2.formatters[format]; if (typeof formatter === "function") { var val = args2[index]; match = formatter.call(self2, val); args2.splice(index, 1); index--; } return match; }); exports2.formatArgs.call(self2, args2); var logFn = debug.log || exports2.log || console.log.bind(console); logFn.apply(self2, args2); } debug.namespace = namespace; debug.enabled = exports2.enabled(namespace); debug.useColors = exports2.useColors(); debug.color = selectColor(namespace); debug.destroy = destroy; if (typeof exports2.init === "function") { exports2.init(debug); } exports2.instances.push(debug); return debug; } function destroy() { var index = exports2.instances.indexOf(this); if (index !== -1) { exports2.instances.splice(index, 1); return true; } else { return false; } } function enable(namespaces) { exports2.save(namespaces); exports2.names = []; exports2.skips = []; var i; var split = (typeof namespaces === "string" ? namespaces : "").split(/[\s,]+/); var len = split.length; for (i = 0; i < len; i++) { if (!split[i]) continue; namespaces = split[i].replace(/\*/g, ".*?"); if (namespaces[0] === "-") { exports2.skips.push(new RegExp("^" + namespaces.substr(1) + "$")); } else { exports2.names.push(new RegExp("^" + namespaces + "$")); } } for (i = 0; i < exports2.instances.length; i++) { var instance = exports2.instances[i]; instance.enabled = exports2.enabled(instance.namespace); } } function disable() { exports2.enable(""); } function enabled(name) { if (name[name.length - 1] === "*") { return true; } var i, len; for (i = 0, len = exports2.skips.length; i < len; i++) { if (exports2.skips[i].test(name)) { return false; } } for (i = 0, len = exports2.names.length; i < len; i++) { if (exports2.names[i].test(name)) { return true; } } return false; } function coerce(val) { if (val instanceof Error) return val.stack || val.message; return val; } } }); var require_browser3 = __commonJS({ "node_modules/express/node_modules/debug/src/browser.js"(exports2, module2) { exports2 = module2.exports = require_debug3(); exports2.log = log2; exports2.formatArgs = formatArgs; exports2.save = save; exports2.load = load; exports2.useColors = useColors; exports2.storage = typeof chrome != "undefined" && typeof chrome.storage != "undefined" ? chrome.storage.local : localstorage(); exports2.colors = [ "#0000CC", "#0000FF", "#0033CC", "#0033FF", "#0066CC", "#0066FF", "#0099CC", "#0099FF", "#00CC00", "#00CC33", "#00CC66", "#00CC99", "#00CCCC", "#00CCFF", "#3300CC", "#3300FF", "#3333CC", "#3333FF", "#3366CC", "#3366FF", "#3399CC", "#3399FF", "#33CC00", "#33CC33", "#33CC66", "#33CC99", "#33CCCC", "#33CCFF", "#6600CC", "#6600FF", "#6633CC", "#6633FF", "#66CC00", "#66CC33", "#9900CC", "#9900FF", "#9933CC", "#9933FF", "#99CC00", "#99CC33", "#CC0000", "#CC0033", "#CC0066", "#CC0099", "#CC00CC", "#CC00FF", "#CC3300", "#CC3333", "#CC3366", "#CC3399", "#CC33CC", "#CC33FF", "#CC6600", "#CC6633", "#CC9900", "#CC9933", "#CCCC00", "#CCCC33", "#FF0000", "#FF0033", "#FF0066", "#FF0099", "#FF00CC", "#FF00FF", "#FF3300", "#FF3333", "#FF3366", "#FF3399", "#FF33CC", "#FF33FF", "#FF6600", "#FF6633", "#FF9900", "#FF9933", "#FFCC00", "#FFCC33" ]; function useColors() { if (typeof window !== "undefined" && window.process && window.process.type === "renderer") { return true; } if (typeof navigator !== "undefined" && navigator.userAgent && navigator.userAgent.toLowerCase().match(/(edge|trident)\/(\d+)/)) { return false; } return typeof document !== "undefined" && document.documentElement && document.documentElement.style && document.documentElement.style.WebkitAppearance || typeof window !== "undefined" && window.console && (window.console.firebug || window.console.exception && window.console.table) || typeof navigator !== "undefined" && navigator.userAgent && navigator.userAgent.toLowerCase().match(/firefox\/(\d+)/) && parseInt(RegExp.$1, 10) >= 31 || typeof navigator !== "undefined" && navigator.userAgent && navigator.userAgent.toLowerCase().match(/applewebkit\/(\d+)/); } exports2.formatters.j = function(v) { try { return JSON.stringify(v); } catch (err) { return "[UnexpectedJSONParseError]: " + err.message; } }; function formatArgs(args2) { var useColors2 = this.useColors; args2[0] = (useColors2 ? "%c" : "") + this.namespace + (useColors2 ? " %c" : " ") + args2[0] + (useColors2 ? "%c " : " ") + "+" + exports2.humanize(this.diff); if (!useColors2) return; var c = "color: " + this.color; args2.splice(1, 0, c, "color: inherit"); var index = 0; var lastC = 0; args2[0].replace(/%[a-zA-Z%]/g, function(match) { if (match === "%%") return; index++; if (match === "%c") { lastC = index; } }); args2.splice(lastC, 0, c); } function log2() { return typeof console === "object" && console.log && Function.prototype.apply.call(console.log, console, arguments); } function save(namespaces) { try { if (namespaces == null) { exports2.storage.removeItem("debug"); } else { exports2.storage.debug = namespaces; } } catch (e) { } } function load() { var r; try { r = exports2.storage.debug; } catch (e) { } if (!r && typeof process !== "undefined" && "env" in process) { r = process.env.DEBUG; } return r; } exports2.enable(load()); function localstorage() { try { return window.localStorage; } catch (e) { } } } }); var require_node3 = __commonJS({ "node_modules/express/node_modules/debug/src/node.js"(exports2, module2) { var tty = require("tty"); var util = require("util"); exports2 = module2.exports = require_debug3(); exports2.init = init; exports2.log = log2; exports2.formatArgs = formatArgs; exports2.save = save; exports2.load = load; exports2.useColors = useColors; exports2.colors = [6, 2, 3, 4, 5, 1]; try { supportsColor = require_supports_color(); if (supportsColor && supportsColor.level >= 2) { exports2.colors = [ 20, 21, 26, 27, 32, 33, 38, 39, 40, 41, 42, 43, 44, 45, 56, 57, 62, 63, 68, 69, 74, 75, 76, 77, 78, 79, 80, 81, 92, 93, 98, 99, 112, 113, 128, 129, 134, 135, 148, 149, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 178, 179, 184, 185, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 214, 215, 220, 221 ]; } } catch (err) { } var supportsColor; exports2.inspectOpts = Object.keys(process.env).filter(function(key) { return /^debug_/i.test(key); }).reduce(function(obj, key) { var prop = key.substring(6).toLowerCase().replace(/_([a-z])/g, function(_, k) { return k.toUpperCase(); }); var val = process.env[key]; if (/^(yes|on|true|enabled)$/i.test(val)) val = true; else if (/^(no|off|false|disabled)$/i.test(val)) val = false; else if (val === "null") val = null; else val = Number(val); obj[prop] = val; return obj; }, {}); function useColors() { return "colors" in exports2.inspectOpts ? Boolean(exports2.inspectOpts.colors) : tty.isatty(process.stderr.fd); } exports2.formatters.o = function(v) { this.inspectOpts.colors = this.useColors; return util.inspect(v, this.inspectOpts).split("\n").map(function(str) { return str.trim(); }).join(" "); }; exports2.formatters.O = function(v) { this.inspectOpts.colors = this.useColors; return util.inspect(v, this.inspectOpts); }; function formatArgs(args2) { var name = this.namespace; var useColors2 = this.useColors; if (useColors2) { var c = this.color; var colorCode = "\x1B[3" + (c < 8 ? c : "8;5;" + c); var prefix = " " + colorCode + ";1m" + name + " \x1B[0m"; args2[0] = prefix + args2[0].split("\n").join("\n" + prefix); args2.push(colorCode + "m+" + exports2.humanize(this.diff) + "\x1B[0m"); } else { args2[0] = getDate() + name + " " + args2[0]; } } function getDate() { if (exports2.inspectOpts.hideDate) { return ""; } else { return new Date().toISOString() + " "; } } function log2() { return process.stderr.write(util.format.apply(util, arguments) + "\n"); } function save(namespaces) { if (namespaces == null) { delete process.env.DEBUG; } else { process.env.DEBUG = namespaces; } } function load() { return process.env.DEBUG; } function init(debug) { debug.inspectOpts = {}; var keys = Object.keys(exports2.inspectOpts); for (var i = 0; i < keys.length; i++) { debug.inspectOpts[keys[i]] = exports2.inspectOpts[keys[i]]; } } exports2.enable(load()); } }); var require_src3 = __commonJS({ "node_modules/express/node_modules/debug/src/index.js"(exports2, module2) { if (typeof process === "undefined" || process.type === "renderer") { module2.exports = require_browser3(); } else { module2.exports = require_node3(); } } }); var require_view = __commonJS({ "node_modules/express/lib/view.js"(exports2, module2) { "use strict"; var debug = require_src3()("express:view"); var path2 = require("path"); var fs = require("fs"); var dirname = path2.dirname; var basename = path2.basename; var extname = path2.extname; var join = path2.join; var resolve = path2.resolve; module2.exports = View; function View(name, options) { var opts = options || {}; this.defaultEngine = opts.defaultEngine; this.ext = extname(name); this.name = name; this.root = opts.root; if (!this.ext && !this.defaultEngine) { throw new Error("No default engine was specified and no extension was provided."); } var fileName = name; if (!this.ext) { this.ext = this.defaultEngine[0] !== "." ? "." + this.defaultEngine : this.defaultEngine; fileName += this.ext; } if (!opts.engines[this.ext]) { var mod = this.ext.slice(1); debug('require "%s"', mod); var fn2 = require(mod).__express; if (typeof fn2 !== "function") { throw new Error('Module "' + mod + '" does not provide a view engine.'); } opts.engines[this.ext] = fn2; } this.engine = opts.engines[this.ext]; this.path = this.lookup(fileName); } View.prototype.lookup = function lookup(name) { var path3; var roots = [].concat(this.root); debug('lookup "%s"', name); for (var i = 0; i < roots.length && !path3; i++) { var root = roots[i]; var loc = resolve(root, name); var dir = dirname(loc); var file = basename(loc); path3 = this.resolve(dir, file); } return path3; }; View.prototype.render = function render(options, callback) { var sync = true; debug('render "%s"', this.path); this.engine(this.path, options, function onRender() { if (!sync) { return callback.apply(this, arguments); } var args2 = new Array(arguments.length); var cntx = this; for (var i = 0; i < arguments.length; i++) { args2[i] = arguments[i]; } return process.nextTick(function renderTick() { return callback.apply(cntx, args2); }); }); sync = false; }; View.prototype.resolve = function resolve2(dir, file) { var ext = this.ext; var path3 = join(dir, file); var stat = tryStat(path3); if (stat && stat.isFile()) { return path3; } path3 = join(dir, basename(file, ext), "index" + ext); stat = tryStat(path3); if (stat && stat.isFile()) { return path3; } }; function tryStat(path3) { debug('stat "%s"', path3); try { return fs.statSync(path3); } catch (e) { return void 0; } } } }); var require_safe_buffer = __commonJS({ "node_modules/safe-buffer/index.js"(exports2, module2) { var buffer = require("buffer"); var Buffer2 = buffer.Buffer; function copyProps(src, dst) { for (var key in src) { dst[key] = src[key]; } } if (Buffer2.from && Buffer2.alloc && Buffer2.allocUnsafe && Buffer2.allocUnsafeSlow) { module2.exports = buffer; } else { copyProps(buffer, exports2); exports2.Buffer = SafeBuffer; } function SafeBuffer(arg, encodingOrOffset, length) { return Buffer2(arg, encodingOrOffset, length); } SafeBuffer.prototype = Object.create(Buffer2.prototype); copyProps(Buffer2, SafeBuffer); SafeBuffer.from = function(arg, encodingOrOffset, length) { if (typeof arg === "number") { throw new TypeError("Argument must not be a number"); } return Buffer2(arg, encodingOrOffset, length); }; SafeBuffer.alloc = function(size, fill, encoding) { if (typeof size !== "number") { throw new TypeError("Argument must be a number"); } var buf = Buffer2(size); if (fill !== void 0) { if (typeof encoding === "string") { buf.fill(fill, encoding); } else { buf.fill(fill); } } else { buf.fill(0); } return buf; }; SafeBuffer.allocUnsafe = function(size) { if (typeof size !== "number") { throw new TypeError("Argument must be a number"); } return Buffer2(size); }; SafeBuffer.allocUnsafeSlow = function(size) { if (typeof size !== "number") { throw new TypeError("Argument must be a number"); } return buffer.SlowBuffer(size); }; } }); var require_etag = __commonJS({ "node_modules/etag/index.js"(exports2, module2) { "use strict"; module2.exports = etag; var crypto3 = require("crypto"); var Stats = require("fs").Stats; var toString = Object.prototype.toString; function entitytag(entity) { if (entity.length === 0) { return '"0-2jmj7l5rSw0yVb/vlWAYkK/YBwk"'; } var hash = crypto3.createHash("sha1").update(entity, "utf8").digest("base64").substring(0, 27); var len = typeof entity === "string" ? Buffer.byteLength(entity, "utf8") : entity.length; return '"' + len.toString(16) + "-" + hash + '"'; } function etag(entity, options) { if (entity == null) { throw new TypeError("argument entity is required"); } var isStats = isstats(entity); var weak = options && typeof options.weak === "boolean" ? options.weak : isStats; if (!isStats && typeof entity !== "string" && !Buffer.isBuffer(entity)) { throw new TypeError("argument entity must be string, Buffer, or fs.Stats"); } var tag = isStats ? stattag(entity) : entitytag(entity); return weak ? "W/" + tag : tag; } function isstats(obj) { if (typeof Stats === "function" && obj instanceof Stats) { return true; } return obj && typeof obj === "object" && "ctime" in obj && toString.call(obj.ctime) === "[object Date]" && "mtime" in obj && toString.call(obj.mtime) === "[object Date]" && "ino" in obj && typeof obj.ino === "number" && "size" in obj && typeof obj.size === "number"; } function stattag(stat) { var mtime = stat.mtime.getTime().toString(16); var size = stat.size.toString(16); return '"' + size + "-" + mtime + '"'; } } }); var require_forwarded = __commonJS({ "node_modules/forwarded/index.js"(exports2, module2) { "use strict"; module2.exports = forwarded; function forwarded(req) { if (!req) { throw new TypeError("argument req is required"); } var proxyAddrs = parse(req.headers["x-forwarded-for"] || ""); var socketAddr = getSocketAddr(req); var addrs = [socketAddr].concat(proxyAddrs); return addrs; } function getSocketAddr(req) { return req.socket ? req.socket.remoteAddress : req.connection.remoteAddress; } function parse(header) { var end = header.length; var list = []; var start = header.length; for (var i = header.length - 1; i >= 0; i--) { switch (header.charCodeAt(i)) { case 32: if (start === end) { start = end = i; } break; case 44: if (start !== end) { list.push(header.substring(start, end)); } start = end = i; break; default: start = i; break; } } if (start !== end) { list.push(header.substring(start, end)); } return list; } } }); var require_ipaddr = __commonJS({ "node_modules/ipaddr.js/lib/ipaddr.js"(exports2, module2) { (function() { var expandIPv6, ipaddr, ipv4Part, ipv4Regexes, ipv6Part, ipv6Regexes, matchCIDR, root, zoneIndex; ipaddr = {}; root = this; if (typeof module2 !== "undefined" && module2 !== null && module2.exports) { module2.exports = ipaddr; } else { root["ipaddr"] = ipaddr; } matchCIDR = function(first, second, partSize, cidrBits) { var part, shift; if (first.length !== second.length) { throw new Error("ipaddr: cannot match CIDR for objects with different lengths"); } part = 0; while (cidrBits > 0) { shift = partSize - cidrBits; if (shift < 0) { shift = 0; } if (first[part] >> shift !== second[part] >> shift) { return false; } cidrBits -= partSize; part += 1; } return true; }; ipaddr.subnetMatch = function(address, rangeList, defaultName) { var k, len, rangeName, rangeSubnets, subnet; if (defaultName == null) { defaultName = "unicast"; } for (rangeName in rangeList) { rangeSubnets = rangeList[rangeName]; if (rangeSubnets[0] && !(rangeSubnets[0] instanceof Array)) { rangeSubnets = [rangeSubnets]; } for (k = 0, len = rangeSubnets.length; k < len; k++) { subnet = rangeSubnets[k]; if (address.kind() === subnet[0].kind()) { if (address.match.apply(address, subnet)) { return rangeName; } } } } return defaultName; }; ipaddr.IPv4 = function() { function IPv4(octets) { var k, len, octet; if (octets.length !== 4) { throw new Error("ipaddr: ipv4 octet count should be 4"); } for (k = 0, len = octets.length; k < len; k++) { octet = octets[k]; if (!(0 <= octet && octet <= 255)) { throw new Error("ipaddr: ipv4 octet should fit in 8 bits"); } } this.octets = octets; } IPv4.prototype.kind = function() { return "ipv4"; }; IPv4.prototype.toString = function() { return this.octets.join("."); }; IPv4.prototype.toNormalizedString = function() { return this.toString(); }; IPv4.prototype.toByteArray = function() { return this.octets.slice(0); }; IPv4.prototype.match = function(other, cidrRange) { var ref; if (cidrRange === void 0) { ref = other, other = ref[0], cidrRange = ref[1]; } if (other.kind() !== "ipv4") { throw new Error("ipaddr: cannot match ipv4 address with non-ipv4 one"); } return matchCIDR(this.octets, other.octets, 8, cidrRange); }; IPv4.prototype.SpecialRanges = { unspecified: [[new IPv4([0, 0, 0, 0]), 8]], broadcast: [[new IPv4([255, 255, 255, 255]), 32]], multicast: [[new IPv4([224, 0, 0, 0]), 4]], linkLocal: [[new IPv4([169, 254, 0, 0]), 16]], loopback: [[new IPv4([127, 0, 0, 0]), 8]], carrierGradeNat: [[new IPv4([100, 64, 0, 0]), 10]], "private": [[new IPv4([10, 0, 0, 0]), 8], [new IPv4([172, 16, 0, 0]), 12], [new IPv4([192, 168, 0, 0]), 16]], reserved: [[new IPv4([192, 0, 0, 0]), 24], [new IPv4([192, 0, 2, 0]), 24], [new IPv4([192, 88, 99, 0]), 24], [new IPv4([198, 51, 100, 0]), 24], [new IPv4([203, 0, 113, 0]), 24], [new IPv4([240, 0, 0, 0]), 4]] }; IPv4.prototype.range = function() { return ipaddr.subnetMatch(this, this.SpecialRanges); }; IPv4.prototype.toIPv4MappedAddress = function() { return ipaddr.IPv6.parse("::ffff:" + this.toString()); }; IPv4.prototype.prefixLengthFromSubnetMask = function() { var cidr, i, k, octet, stop, zeros, zerotable; zerotable = { 0: 8, 128: 7, 192: 6, 224: 5, 240: 4, 248: 3, 252: 2, 254: 1, 255: 0 }; cidr = 0; stop = false; for (i = k = 3; k >= 0; i = k += -1) { octet = this.octets[i]; if (octet in zerotable) { zeros = zerotable[octet]; if (stop && zeros !== 0) { return null; } if (zeros !== 8) { stop = true; } cidr += zeros; } else { return null; } } return 32 - cidr; }; return IPv4; }(); ipv4Part = "(0?\\d+|0x[a-f0-9]+)"; ipv4Regexes = { fourOctet: new RegExp("^" + ipv4Part + "\\." + ipv4Part + "\\." + ipv4Part + "\\." + ipv4Part + "$", "i"), longValue: new RegExp("^" + ipv4Part + "$", "i") }; ipaddr.IPv4.parser = function(string) { var match, parseIntAuto, part, shift, value; parseIntAuto = function(string2) { if (string2[0] === "0" && string2[1] !== "x") { return parseInt(string2, 8); } else { return parseInt(string2); } }; if (match = string.match(ipv4Regexes.fourOctet)) { return function() { var k, len, ref, results; ref = match.slice(1, 6); results = []; for (k = 0, len = ref.length; k < len; k++) { part = ref[k]; results.push(parseIntAuto(part)); } return results; }(); } else if (match = string.match(ipv4Regexes.longValue)) { value = parseIntAuto(match[1]); if (value > 4294967295 || value < 0) { throw new Error("ipaddr: address outside defined range"); } return function() { var k, results; results = []; for (shift = k = 0; k <= 24; shift = k += 8) { results.push(value >> shift & 255); } return results; }().reverse(); } else { return null; } }; ipaddr.IPv6 = function() { function IPv6(parts, zoneId) { var i, k, l, len, part, ref; if (parts.length === 16) { this.parts = []; for (i = k = 0; k <= 14; i = k += 2) { this.parts.push(parts[i] << 8 | parts[i + 1]); } } else if (parts.length === 8) { this.parts = parts; } else { throw new Error("ipaddr: ipv6 part count should be 8 or 16"); } ref = this.parts; for (l = 0, len = ref.length; l < len; l++) { part = ref[l]; if (!(0 <= part && part <= 65535)) { throw new Error("ipaddr: ipv6 part should fit in 16 bits"); } } if (zoneId) { this.zoneId = zoneId; } } IPv6.prototype.kind = function() { return "ipv6"; }; IPv6.prototype.toString = function() { return this.toNormalizedString().replace(/((^|:)(0(:|$))+)/, "::"); }; IPv6.prototype.toRFC5952String = function() { var bestMatchIndex, bestMatchLength, match, regex, string; regex = /((^|:)(0(:|$)){2,})/g; string = this.toNormalizedString(); bestMatchIndex = 0; bestMatchLength = -1; while (match = regex.exec(string)) { if (match[0].length > bestMatchLength) { bestMatchIndex = match.index; bestMatchLength = match[0].length; } } if (bestMatchLength < 0) { return string; } return string.substring(0, bestMatchIndex) + "::" + string.substring(bestMatchIndex + bestMatchLength); }; IPv6.prototype.toByteArray = function() { var bytes, k, len, part, ref; bytes = []; ref = this.parts; for (k = 0, len = ref.length; k < len; k++) { part = ref[k]; bytes.push(part >> 8); bytes.push(part & 255); } return bytes; }; IPv6.prototype.toNormalizedString = function() { var addr, part, suffix; addr = function() { var k, len, ref, results; ref = this.parts; results = []; for (k = 0, len = ref.length; k < len; k++) { part = ref[k]; results.push(part.toString(16)); } return results; }.call(this).join(":"); suffix = ""; if (this.zoneId) { suffix = "%" + this.zoneId; } return addr + suffix; }; IPv6.prototype.toFixedLengthString = function() { var addr, part, suffix; addr = function() { var k, len, ref, results; ref = this.parts; results = []; for (k = 0, len = ref.length; k < len; k++) { part = ref[k]; results.push(part.toString(16).padStart(4, "0")); } return results; }.call(this).join(":"); suffix = ""; if (this.zoneId) { suffix = "%" + this.zoneId; } return addr + suffix; }; IPv6.prototype.match = function(other, cidrRange) { var ref; if (cidrRange === void 0) { ref = other, other = ref[0], cidrRange = ref[1]; } if (other.kind() !== "ipv6") { throw new Error("ipaddr: cannot match ipv6 address with non-ipv6 one"); } return matchCIDR(this.parts, other.parts, 16, cidrRange); }; IPv6.prototype.SpecialRanges = { unspecified: [new IPv6([0, 0, 0, 0, 0, 0, 0, 0]), 128], linkLocal: [new IPv6([65152, 0, 0, 0, 0, 0, 0, 0]), 10], multicast: [new IPv6([65280, 0, 0, 0, 0, 0, 0, 0]), 8], loopback: [new IPv6([0, 0, 0, 0, 0, 0, 0, 1]), 128], uniqueLocal: [new IPv6([64512, 0, 0, 0, 0, 0, 0, 0]), 7], ipv4Mapped: [new IPv6([0, 0, 0, 0, 0, 65535, 0, 0]), 96], rfc6145: [new IPv6([0, 0, 0, 0, 65535, 0, 0, 0]), 96], rfc6052: [new IPv6([100, 65435, 0, 0, 0, 0, 0, 0]), 96], "6to4": [new IPv6([8194, 0, 0, 0, 0, 0, 0, 0]), 16], teredo: [new IPv6([8193, 0, 0, 0, 0, 0, 0, 0]), 32], reserved: [[new IPv6([8193, 3512, 0, 0, 0, 0, 0, 0]), 32]] }; IPv6.prototype.range = function() { return ipaddr.subnetMatch(this, this.SpecialRanges); }; IPv6.prototype.isIPv4MappedAddress = function() { return this.range() === "ipv4Mapped"; }; IPv6.prototype.toIPv4Address = function() { var high, low, ref; if (!this.isIPv4MappedAddress()) { throw new Error("ipaddr: trying to convert a generic ipv6 address to ipv4"); } ref = this.parts.slice(-2), high = ref[0], low = ref[1]; return new ipaddr.IPv4([high >> 8, high & 255, low >> 8, low & 255]); }; IPv6.prototype.prefixLengthFromSubnetMask = function() { var cidr, i, k, part, stop, zeros, zerotable; zerotable = { 0: 16, 32768: 15, 49152: 14, 57344: 13, 61440: 12, 63488: 11, 64512: 10, 65024: 9, 65280: 8, 65408: 7, 65472: 6, 65504: 5, 65520: 4, 65528: 3, 65532: 2, 65534: 1, 65535: 0 }; cidr = 0; stop = false; for (i = k = 7; k >= 0; i = k += -1) { part = this.parts[i]; if (part in zerotable) { zeros = zerotable[part]; if (stop && zeros !== 0) { return null; } if (zeros !== 16) { stop = true; } cidr += zeros; } else { return null; } } return 128 - cidr; }; return IPv6; }(); ipv6Part = "(?:[0-9a-f]+::?)+"; zoneIndex = "%[0-9a-z]{1,}"; ipv6Regexes = { zoneIndex: new RegExp(zoneIndex, "i"), "native": new RegExp("^(::)?(" + ipv6Part + ")?([0-9a-f]+)?(::)?(" + zoneIndex + ")?$", "i"), transitional: new RegExp("^((?:" + ipv6Part + ")|(?:::)(?:" + ipv6Part + ")?)" + (ipv4Part + "\\." + ipv4Part + "\\." + ipv4Part + "\\." + ipv4Part) + ("(" + zoneIndex + ")?$"), "i") }; expandIPv6 = function(string, parts) { var colonCount, lastColon, part, replacement, replacementCount, zoneId; if (string.indexOf("::") !== string.lastIndexOf("::")) { return null; } zoneId = (string.match(ipv6Regexes["zoneIndex"]) || [])[0]; if (zoneId) { zoneId = zoneId.substring(1); string = string.replace(/%.+$/, ""); } colonCount = 0; lastColon = -1; while ((lastColon = string.indexOf(":", lastColon + 1)) >= 0) { colonCount++; } if (string.substr(0, 2) === "::") { colonCount--; } if (string.substr(-2, 2) === "::") { colonCount--; } if (colonCount > parts) { return null; } replacementCount = parts - colonCount; replacement = ":"; while (replacementCount--) { replacement += "0:"; } string = string.replace("::", replacement); if (string[0] === ":") { string = string.slice(1); } if (string[string.length - 1] === ":") { string = string.slice(0, -1); } parts = function() { var k, len, ref, results; ref = string.split(":"); results = []; for (k = 0, len = ref.length; k < len; k++) { part = ref[k]; results.push(parseInt(part, 16)); } return results; }(); return { parts, zoneId }; }; ipaddr.IPv6.parser = function(string) { var addr, k, len, match, octet, octets, zoneId; if (ipv6Regexes["native"].test(string)) { return expandIPv6(string, 8); } else if (match = string.match(ipv6Regexes["transitional"])) { zoneId = match[6] || ""; addr = expandIPv6(match[1].slice(0, -1) + zoneId, 6); if (addr.parts) { octets = [parseInt(match[2]), parseInt(match[3]), parseInt(match[4]), parseInt(match[5])]; for (k = 0, len = octets.length; k < len; k++) { octet = octets[k]; if (!(0 <= octet && octet <= 255)) { return null; } } addr.parts.push(octets[0] << 8 | octets[1]); addr.parts.push(octets[2] << 8 | octets[3]); return { parts: addr.parts, zoneId: addr.zoneId }; } } return null; }; ipaddr.IPv4.isIPv4 = ipaddr.IPv6.isIPv6 = function(string) { return this.parser(string) !== null; }; ipaddr.IPv4.isValid = function(string) { var e; try { new this(this.parser(string)); return true; } catch (error1) { e = error1; return false; } }; ipaddr.IPv4.isValidFourPartDecimal = function(string) { if (ipaddr.IPv4.isValid(string) && string.match(/^(0|[1-9]\d*)(\.(0|[1-9]\d*)){3}$/)) { return true; } else { return false; } }; ipaddr.IPv6.isValid = function(string) { var addr, e; if (typeof string === "string" && string.indexOf(":") === -1) { return false; } try { addr = this.parser(string); new this(addr.parts, addr.zoneId); return true; } catch (error1) { e = error1; return false; } }; ipaddr.IPv4.parse = function(string) { var parts; parts = this.parser(string); if (parts === null) { throw new Error("ipaddr: string is not formatted like ip address"); } return new this(parts); }; ipaddr.IPv6.parse = function(string) { var addr; addr = this.parser(string); if (addr.parts === null) { throw new Error("ipaddr: string is not formatted like ip address"); } return new this(addr.parts, addr.zoneId); }; ipaddr.IPv4.parseCIDR = function(string) { var maskLength, match, parsed; if (match = string.match(/^(.+)\/(\d+)$/)) { maskLength = parseInt(match[2]); if (maskLength >= 0 && maskLength <= 32) { parsed = [this.parse(match[1]), maskLength]; Object.defineProperty(parsed, "toString", { value: function() { return this.join("/"); } }); return parsed; } } throw new Error("ipaddr: string is not formatted like an IPv4 CIDR range"); }; ipaddr.IPv4.subnetMaskFromPrefixLength = function(prefix) { var filledOctetCount, j, octets; prefix = parseInt(prefix); if (prefix < 0 || prefix > 32) { throw new Error("ipaddr: invalid IPv4 prefix length"); } octets = [0, 0, 0, 0]; j = 0; filledOctetCount = Math.floor(prefix / 8); while (j < filledOctetCount) { octets[j] = 255; j++; } if (filledOctetCount < 4) { octets[filledOctetCount] = Math.pow(2, prefix % 8) - 1 << 8 - prefix % 8; } return new this(octets); }; ipaddr.IPv4.broadcastAddressFromCIDR = function(string) { var cidr, error, i, ipInterfaceOctets, octets, subnetMaskOctets; try { cidr = this.parseCIDR(string); ipInterfaceOctets = cidr[0].toByteArray(); subnetMaskOctets = this.subnetMaskFromPrefixLength(cidr[1]).toByteArray(); octets = []; i = 0; while (i < 4) { octets.push(parseInt(ipInterfaceOctets[i], 10) | parseInt(subnetMaskOctets[i], 10) ^ 255); i++; } return new this(octets); } catch (error1) { error = error1; throw new Error("ipaddr: the address does not have IPv4 CIDR format"); } }; ipaddr.IPv4.networkAddressFromCIDR = function(string) { var cidr, error, i, ipInterfaceOctets, octets, subnetMaskOctets; try { cidr = this.parseCIDR(string); ipInterfaceOctets = cidr[0].toByteArray(); subnetMaskOctets = this.subnetMaskFromPrefixLength(cidr[1]).toByteArray(); octets = []; i = 0; while (i < 4) { octets.push(parseInt(ipInterfaceOctets[i], 10) & parseInt(subnetMaskOctets[i], 10)); i++; } return new this(octets); } catch (error1) { error = error1; throw new Error("ipaddr: the address does not have IPv4 CIDR format"); } }; ipaddr.IPv6.parseCIDR = function(string) { var maskLength, match, parsed; if (match = string.match(/^(.+)\/(\d+)$/)) { maskLength = parseInt(match[2]); if (maskLength >= 0 && maskLength <= 128) { parsed = [this.parse(match[1]), maskLength]; Object.defineProperty(parsed, "toString", { value: function() { return this.join("/"); } }); return parsed; } } throw new Error("ipaddr: string is not formatted like an IPv6 CIDR range"); }; ipaddr.isValid = function(string) { return ipaddr.IPv6.isValid(string) || ipaddr.IPv4.isValid(string); }; ipaddr.parse = function(string) { if (ipaddr.IPv6.isValid(string)) { return ipaddr.IPv6.parse(string); } else if (ipaddr.IPv4.isValid(string)) { return ipaddr.IPv4.parse(string); } else { throw new Error("ipaddr: the address has neither IPv6 nor IPv4 format"); } }; ipaddr.parseCIDR = function(string) { var e; try { return ipaddr.IPv6.parseCIDR(string); } catch (error1) { e = error1; try { return ipaddr.IPv4.parseCIDR(string); } catch (error12) { e = error12; throw new Error("ipaddr: the address has neither IPv6 nor IPv4 CIDR format"); } } }; ipaddr.fromByteArray = function(bytes) { var length; length = bytes.length; if (length === 4) { return new ipaddr.IPv4(bytes); } else if (length === 16) { return new ipaddr.IPv6(bytes); } else { throw new Error("ipaddr: the binary input is neither an IPv6 nor IPv4 address"); } }; ipaddr.process = function(string) { var addr; addr = this.parse(string); if (addr.kind() === "ipv6" && addr.isIPv4MappedAddress()) { return addr.toIPv4Address(); } else { return addr; } }; }).call(exports2); } }); var require_proxy_addr = __commonJS({ "node_modules/proxy-addr/index.js"(exports2, module2) { "use strict"; module2.exports = proxyaddr; module2.exports.all = alladdrs; module2.exports.compile = compile; var forwarded = require_forwarded(); var ipaddr = require_ipaddr(); var DIGIT_REGEXP = /^[0-9]+$/; var isip = ipaddr.isValid; var parseip = ipaddr.parse; var IP_RANGES = { linklocal: ["169.254.0.0/16", "fe80::/10"], loopback: ["127.0.0.1/8", "::1/128"], uniquelocal: ["10.0.0.0/8", "172.16.0.0/12", "192.168.0.0/16", "fc00::/7"] }; function alladdrs(req, trust) { var addrs = forwarded(req); if (!trust) { return addrs; } if (typeof trust !== "function") { trust = compile(trust); } for (var i = 0; i < addrs.length - 1; i++) { if (trust(addrs[i], i)) continue; addrs.length = i + 1; } return addrs; } function compile(val) { if (!val) { throw new TypeError("argument is required"); } var trust; if (typeof val === "string") { trust = [val]; } else if (Array.isArray(val)) { trust = val.slice(); } else { throw new TypeError("unsupported trust argument"); } for (var i = 0; i < trust.length; i++) { val = trust[i]; if (!Object.prototype.hasOwnProperty.call(IP_RANGES, val)) { continue; } val = IP_RANGES[val]; trust.splice.apply(trust, [i, 1].concat(val)); i += val.length - 1; } return compileTrust(compileRangeSubnets(trust)); } function compileRangeSubnets(arr) { var rangeSubnets = new Array(arr.length); for (var i = 0; i < arr.length; i++) { rangeSubnets[i] = parseipNotation(arr[i]); } return rangeSubnets; } function compileTrust(rangeSubnets) { var len = rangeSubnets.length; return len === 0 ? trustNone : len === 1 ? trustSingle(rangeSubnets[0]) : trustMulti(rangeSubnets); } function parseipNotation(note) { var pos = note.lastIndexOf("/"); var str = pos !== -1 ? note.substring(0, pos) : note; if (!isip(str)) { throw new TypeError("invalid IP address: " + str); } var ip = parseip(str); if (pos === -1 && ip.kind() === "ipv6" && ip.isIPv4MappedAddress()) { ip = ip.toIPv4Address(); } var max = ip.kind() === "ipv6" ? 128 : 32; var range = pos !== -1 ? note.substring(pos + 1, note.length) : null; if (range === null) { range = max; } else if (DIGIT_REGEXP.test(range)) { range = parseInt(range, 10); } else if (ip.kind() === "ipv4" && isip(range)) { range = parseNetmask(range); } else { range = null; } if (range <= 0 || range > max) { throw new TypeError("invalid range on address: " + note); } return [ip, range]; } function parseNetmask(netmask) { var ip = parseip(netmask); var kind = ip.kind(); return kind === "ipv4" ? ip.prefixLengthFromSubnetMask() : null; } function proxyaddr(req, trust) { if (!req) { throw new TypeError("req argument is required"); } if (!trust) { throw new TypeError("trust argument is required"); } var addrs = alladdrs(req, trust); var addr = addrs[addrs.length - 1]; return addr; } function trustNone() { return false; } function trustMulti(subnets) { return function trust(addr) { if (!isip(addr)) return false; var ip = parseip(addr); var ipconv; var kind = ip.kind(); for (var i = 0; i < subnets.length; i++) { var subnet = subnets[i]; var subnetip = subnet[0]; var subnetkind = subnetip.kind(); var subnetrange = subnet[1]; var trusted = ip; if (kind !== subnetkind) { if (subnetkind === "ipv4" && !ip.isIPv4MappedAddress()) { continue; } if (!ipconv) { ipconv = subnetkind === "ipv4" ? ip.toIPv4Address() : ip.toIPv4MappedAddress(); } trusted = ipconv; } if (trusted.match(subnetip, subnetrange)) { return true; } } return false; }; } function trustSingle(subnet) { var subnetip = subnet[0]; var subnetkind = subnetip.kind(); var subnetisipv4 = subnetkind === "ipv4"; var subnetrange = subnet[1]; return function trust(addr) { if (!isip(addr)) return false; var ip = parseip(addr); var kind = ip.kind(); if (kind !== subnetkind) { if (subnetisipv4 && !ip.isIPv4MappedAddress()) { return false; } ip = subnetisipv4 ? ip.toIPv4Address() : ip.toIPv4MappedAddress(); } return ip.match(subnetip, subnetrange); }; } } }); var require_utils2 = __commonJS({ "node_modules/express/lib/utils.js"(exports2) { "use strict"; var Buffer2 = require_safe_buffer().Buffer; var contentType = require_content_type(); var etag = require_etag(); var mime2 = require_mime_types(); var proxyaddr = require_proxy_addr(); var qs = require_lib4(); var querystring = require("querystring"); exports2.etag = createETagGenerator({ weak: false }); exports2.wetag = createETagGenerator({ weak: true }); exports2.normalizeType = function(type) { return ~type.indexOf("/") ? acceptParams(type) : { value: mime2.lookup(type) || "application/octet-stream", params: {} }; }; exports2.normalizeTypes = function(types) { var ret = []; for (var i = 0; i < types.length; ++i) { ret.push(exports2.normalizeType(types[i])); } return ret; }; function acceptParams(str) { var parts = str.split(/ *; */); var ret = { value: parts[0], quality: 1, params: {} }; for (var i = 1; i < parts.length; ++i) { var pms = parts[i].split(/ *= */); if (pms[0] === "q") { ret.quality = parseFloat(pms[1]); } else { ret.params[pms[0]] = pms[1]; } } return ret; } exports2.compileETag = function(val) { var fn2; if (typeof val === "function") { return val; } switch (val) { case true: case "weak": fn2 = exports2.wetag; break; case false: break; case "strong": fn2 = exports2.etag; break; default: throw new TypeError("unknown value for etag function: " + val); } return fn2; }; exports2.compileQueryParser = function compileQueryParser(val) { var fn2; if (typeof val === "function") { return val; } switch (val) { case true: case "simple": fn2 = querystring.parse; break; case false: break; case "extended": fn2 = parseExtendedQueryString; break; default: throw new TypeError("unknown value for query parser function: " + val); } return fn2; }; exports2.compileTrust = function(val) { if (typeof val === "function") return val; if (val === true) { return function() { return true; }; } if (typeof val === "number") { return function(a, i) { return i < val; }; } if (typeof val === "string") { val = val.split(",").map(function(v) { return v.trim(); }); } return proxyaddr.compile(val || []); }; exports2.setCharset = function setCharset(type, charset) { if (!type || !charset) { return type; } var parsed = contentType.parse(type); parsed.parameters.charset = charset; return contentType.format(parsed); }; function createETagGenerator(options) { return function generateETag(body, encoding) { var buf = !Buffer2.isBuffer(body) ? Buffer2.from(body, encoding) : body; return etag(buf, options); }; } function parseExtendedQueryString(str) { return qs.parse(str, { allowPrototypes: true }); } } }); var require_dist = __commonJS({ "node_modules/array-flatten/dist/index.js"(exports2) { "use strict"; Object.defineProperty(exports2, "__esModule", { value: true }); function flatten(array) { var result = []; $flatten(array, result); return result; } exports2.flatten = flatten; function $flatten(array, result) { for (var i = 0; i < array.length; i++) { var value = array[i]; if (Array.isArray(value)) { $flatten(value, result); } else { result.push(value); } } } } }); var require_utils_merge = __commonJS({ "node_modules/utils-merge/index.js"(exports2, module2) { exports2 = module2.exports = function(a, b) { if (a && b) { for (var key in b) { a[key] = b[key]; } } return a; }; } }); var require_is_promise = __commonJS({ "node_modules/is-promise/index.js"(exports2, module2) { module2.exports = isPromise; module2.exports.default = isPromise; function isPromise(obj) { return !!obj && (typeof obj === "object" || typeof obj === "function") && typeof obj.then === "function"; } } }); var require_path_to_regexp = __commonJS({ "node_modules/path-to-regexp/index.js"(exports2, module2) { module2.exports = pathToRegexp; module2.exports.match = match; module2.exports.regexpToFunction = regexpToFunction; module2.exports.parse = parse; module2.exports.compile = compile; module2.exports.tokensToFunction = tokensToFunction; module2.exports.tokensToRegExp = tokensToRegExp; var DEFAULT_DELIMITER = "/"; var PATH_REGEXP = new RegExp([ "(\\\\.)", "(?:\\:(\\w+)(?:\\(((?:\\\\.|[^\\\\()])+)\\))?|\\(((?:\\\\.|[^\\\\()])+)\\))([+*?])?" ].join("|"), "g"); function parse(str, options) { var tokens = []; var key = 0; var index = 0; var path2 = ""; var defaultDelimiter = options && options.delimiter || DEFAULT_DELIMITER; var whitelist = options && options.whitelist || void 0; var pathEscaped = false; var res; while ((res = PATH_REGEXP.exec(str)) !== null) { var m = res[0]; var escaped = res[1]; var offset = res.index; path2 += str.slice(index, offset); index = offset + m.length; if (escaped) { path2 += escaped[1]; pathEscaped = true; continue; } var prev = ""; var name = res[2]; var capture = res[3]; var group = res[4]; var modifier = res[5]; if (!pathEscaped && path2.length) { var k = path2.length - 1; var c = path2[k]; var matches = whitelist ? whitelist.indexOf(c) > -1 : true; if (matches) { prev = c; path2 = path2.slice(0, k); } } if (path2) { tokens.push(path2); path2 = ""; pathEscaped = false; } var repeat = modifier === "+" || modifier === "*"; var optional = modifier === "?" || modifier === "*"; var pattern = capture || group; var delimiter = prev || defaultDelimiter; tokens.push({ name: name || key++, prefix: prev, delimiter, optional, repeat, pattern: pattern ? escapeGroup(pattern) : "[^" + escapeString(delimiter === defaultDelimiter ? delimiter : delimiter + defaultDelimiter) + "]+?" }); } if (path2 || index < str.length) { tokens.push(path2 + str.substr(index)); } return tokens; } function compile(str, options) { return tokensToFunction(parse(str, options), options); } function match(str, options) { var keys = []; var re = pathToRegexp(str, keys, options); return regexpToFunction(re, keys); } function regexpToFunction(re, keys) { return function(pathname, options) { var m = re.exec(pathname); if (!m) return false; var path2 = m[0]; var index = m.index; var params = {}; var decode = options && options.decode || decodeURIComponent; for (var i = 1; i < m.length; i++) { if (m[i] === void 0) continue; var key = keys[i - 1]; if (key.repeat) { params[key.name] = m[i].split(key.delimiter).map(function(value) { return decode(value, key); }); } else { params[key.name] = decode(m[i], key); } } return { path: path2, index, params }; }; } function tokensToFunction(tokens, options) { var matches = new Array(tokens.length); for (var i = 0; i < tokens.length; i++) { if (typeof tokens[i] === "object") { matches[i] = new RegExp("^(?:" + tokens[i].pattern + ")$", flags(options)); } } return function(data, options2) { var path2 = ""; var encode = options2 && options2.encode || encodeURIComponent; var validate = options2 ? options2.validate !== false : true; for (var i2 = 0; i2 < tokens.length; i2++) { var token = tokens[i2]; if (typeof token === "string") { path2 += token; continue; } var value = data ? data[token.name] : void 0; var segment; if (Array.isArray(value)) { if (!token.repeat) { throw new TypeError('Expected "' + token.name + '" to not repeat, but got array'); } if (value.length === 0) { if (token.optional) continue; throw new TypeError('Expected "' + token.name + '" to not be empty'); } for (var j = 0; j < value.length; j++) { segment = encode(value[j], token); if (validate && !matches[i2].test(segment)) { throw new TypeError('Expected all "' + token.name + '" to match "' + token.pattern + '"'); } path2 += (j === 0 ? token.prefix : token.delimiter) + segment; } continue; } if (typeof value === "string" || typeof value === "number" || typeof value === "boolean") { segment = encode(String(value), token); if (validate && !matches[i2].test(segment)) { throw new TypeError('Expected "' + token.name + '" to match "' + token.pattern + '", but got "' + segment + '"'); } path2 += token.prefix + segment; continue; } if (token.optional) continue; throw new TypeError('Expected "' + token.name + '" to be ' + (token.repeat ? "an array" : "a string")); } return path2; }; } function escapeString(str) { return str.replace(/([.+*?=^!:${}()[\]|/\\])/g, "\\$1"); } function escapeGroup(group) { return group.replace(/([=!:$/()])/g, "\\$1"); } function flags(options) { return options && options.sensitive ? "" : "i"; } function regexpToRegexp(path2, keys) { if (!keys) return path2; var groups = path2.source.match(/\((?!\?)/g); if (groups) { for (var i = 0; i < groups.length; i++) { keys.push({ name: i, prefix: null, delimiter: null, optional: false, repeat: false, pattern: null }); } } return path2; } function arrayToRegexp(path2, keys, options) { var parts = []; for (var i = 0; i < path2.length; i++) { parts.push(pathToRegexp(path2[i], keys, options).source); } return new RegExp("(?:" + parts.join("|") + ")", flags(options)); } function stringToRegexp(path2, keys, options) { return tokensToRegExp(parse(path2, options), keys, options); } function tokensToRegExp(tokens, keys, options) { options = options || {}; var strict = options.strict; var start = options.start !== false; var end = options.end !== false; var delimiter = options.delimiter || DEFAULT_DELIMITER; var endsWith = [].concat(options.endsWith || []).map(escapeString).concat("$").join("|"); var route = start ? "^" : ""; for (var i = 0; i < tokens.length; i++) { var token = tokens[i]; if (typeof token === "string") { route += escapeString(token); } else { var capture = token.repeat ? "(?:" + token.pattern + ")(?:" + escapeString(token.delimiter) + "(?:" + token.pattern + "))*" : token.pattern; if (keys) keys.push(token); if (token.optional) { if (!token.prefix) { route += "(" + capture + ")?"; } else { route += "(?:" + escapeString(token.prefix) + "(" + capture + "))?"; } } else { route += escapeString(token.prefix) + "(" + capture + ")"; } } } if (end) { if (!strict) route += "(?:" + escapeString(delimiter) + ")?"; route += endsWith === "$" ? "$" : "(?=" + endsWith + ")"; } else { var endToken = tokens[tokens.length - 1]; var isEndDelimited = typeof endToken === "string" ? endToken[endToken.length - 1] === delimiter : endToken === void 0; if (!strict) route += "(?:" + escapeString(delimiter) + "(?=" + endsWith + "))?"; if (!isEndDelimited) route += "(?=" + escapeString(delimiter) + "|" + endsWith + ")"; } return new RegExp(route, flags(options)); } function pathToRegexp(path2, keys, options) { if (path2 instanceof RegExp) { return regexpToRegexp(path2, keys); } if (Array.isArray(path2)) { return arrayToRegexp(path2, keys, options); } return stringToRegexp(path2, keys, options); } } }); var require_layer = __commonJS({ "node_modules/router/lib/layer.js"(exports2, module2) { "use strict"; var isPromise = require_is_promise(); var pathRegexp = require_path_to_regexp(); var hasOwnProperty = Object.prototype.hasOwnProperty; var TRAILING_SLASH_REGEXP = /\/+$/; module2.exports = Layer; function Layer(path2, options, fn2) { if (!(this instanceof Layer)) { return new Layer(path2, options, fn2); } var opts = options || {}; this.handle = fn2; this.keys = []; this.name = fn2.name || ""; this.params = void 0; this.path = void 0; this.regexp = pathRegexp(opts.strict ? path2 : loosen(path2), this.keys, opts); this.regexp._slash = path2 === "/" && opts.end === false; } Layer.prototype.handleError = function handleError(error, req, res, next) { var fn2 = this.handle; if (fn2.length !== 4) { return next(error); } try { var ret = fn2(error, req, res, next); if (isPromise(ret)) { ret.then(null, function(error2) { next(error2 || new Error("Rejected promise")); }); } } catch (err) { next(err); } }; Layer.prototype.handleRequest = function handleRequest(req, res, next) { var fn2 = this.handle; if (fn2.length > 3) { return next(); } try { var ret = fn2(req, res, next); if (isPromise(ret)) { ret.then(null, function(error) { next(error || new Error("Rejected promise")); }); } } catch (err) { next(err); } }; Layer.prototype.match = function match(path2) { var match2; if (path2 != null) { if (this.regexp._slash) { this.params = {}; this.path = ""; return true; } match2 = this.regexp.exec(path2); } if (!match2) { this.params = void 0; this.path = void 0; return false; } this.params = {}; this.path = match2[0]; var keys = this.keys; var params = this.params; for (var i = 1; i < match2.length; i++) { var key = keys[i - 1]; var prop = key.name; var val = decodeParam(match2[i]); if (val !== void 0 || !hasOwnProperty.call(params, prop)) { params[prop] = val; } } return true; }; function decodeParam(val) { if (typeof val !== "string" || val.length === 0) { return val; } try { return decodeURIComponent(val); } catch (err) { if (err instanceof URIError) { err.message = "Failed to decode param '" + val + "'"; err.status = 400; } throw err; } } function loosen(path2) { if (path2 instanceof RegExp) { return path2; } return Array.isArray(path2) ? path2.map(function(p) { return loosen(p); }) : String(path2).replace(TRAILING_SLASH_REGEXP, ""); } } }); var require_route = __commonJS({ "node_modules/router/lib/route.js"(exports2, module2) { "use strict"; var flatten = require_dist().flatten; var Layer = require_layer(); var methods = require_methods(); var slice = Array.prototype.slice; var defer = typeof setImmediate === "function" ? setImmediate : function(fn2) { process.nextTick(fn2.bind.apply(fn2, arguments)); }; module2.exports = Route; function Route(path2) { this.path = path2; this.stack = []; this.methods = /* @__PURE__ */ Object.create(null); } Route.prototype._handlesMethod = function _handlesMethod(method) { if (this.methods._all) { return true; } var name = typeof method === "string" ? method.toLowerCase() : method; if (name === "head" && !this.methods.head) { name = "get"; } return Boolean(this.methods[name]); }; Route.prototype._methods = function _methods() { var methods2 = Object.keys(this.methods); if (this.methods.get && !this.methods.head) { methods2.push("head"); } for (var i = 0; i < methods2.length; i++) { methods2[i] = methods2[i].toUpperCase(); } return methods2; }; Route.prototype.dispatch = function dispatch(req, res, done) { var idx = 0; var stack2 = this.stack; var sync = 0; if (stack2.length === 0) { return done(); } var method = typeof req.method === "string" ? req.method.toLowerCase() : req.method; if (method === "head" && !this.methods.head) { method = "get"; } req.route = this; next(); function next(err) { if (err && err === "route") { return done(); } if (err && err === "router") { return done(err); } if (idx >= stack2.length) { return done(err); } if (++sync > 100) { return defer(next, err); } var layer; var match; while (match !== true && idx < stack2.length) { layer = stack2[idx++]; match = !layer.method || layer.method === method; } if (match !== true) { return done(err); } if (err) { layer.handleError(err, req, res, next); } else { layer.handleRequest(req, res, next); } sync = 0; } }; Route.prototype.all = function all(handler) { var callbacks = flatten(slice.call(arguments)); if (callbacks.length === 0) { throw new TypeError("argument handler is required"); } for (var i = 0; i < callbacks.length; i++) { var fn2 = callbacks[i]; if (typeof fn2 !== "function") { throw new TypeError("argument handler must be a function"); } var layer = Layer("/", {}, fn2); layer.method = void 0; this.methods._all = true; this.stack.push(layer); } return this; }; methods.forEach(function(method) { Route.prototype[method] = function(handler) { var callbacks = flatten(slice.call(arguments)); if (callbacks.length === 0) { throw new TypeError("argument handler is required"); } for (var i = 0; i < callbacks.length; i++) { var fn2 = callbacks[i]; if (typeof fn2 !== "function") { throw new TypeError("argument handler must be a function"); } var layer = Layer("/", {}, fn2); layer.method = method; this.methods[method] = true; this.stack.push(layer); } return this; }; }); } }); var require_router = __commonJS({ "node_modules/router/index.js"(exports2, module2) { "use strict"; var flatten = require_dist().flatten; var isPromise = require_is_promise(); var Layer = require_layer(); var methods = require_methods(); var mixin = require_utils_merge(); var parseUrl = require_parseurl(); var Route = require_route(); var setPrototypeOf = require_setprototypeof(); var slice = Array.prototype.slice; module2.exports = Router; module2.exports.Route = Route; function Router(options) { if (!(this instanceof Router)) { return new Router(options); } var opts = options || {}; function router(req, res, next) { router.handle(req, res, next); } setPrototypeOf(router, this); router.caseSensitive = opts.caseSensitive; router.mergeParams = opts.mergeParams; router.params = {}; router.strict = opts.strict; router.stack = []; return router; } Router.prototype = function() { }; Router.prototype.param = function param(name, fn2) { if (!name) { throw new TypeError("argument name is required"); } if (typeof name !== "string") { throw new TypeError("argument name must be a string"); } if (!fn2) { throw new TypeError("argument fn is required"); } if (typeof fn2 !== "function") { throw new TypeError("argument fn must be a function"); } var params = this.params[name]; if (!params) { params = this.params[name] = []; } params.push(fn2); return this; }; Router.prototype.handle = function handle(req, res, callback) { if (!callback) { throw new TypeError("argument callback is required"); } var idx = 0; var methods2; var protohost = getProtohost(req.url) || ""; var removed = ""; var self2 = this; var slashAdded = false; var sync = 0; var paramcalled = {}; var stack2 = this.stack; var parentParams = req.params; var parentUrl = req.baseUrl || ""; var done = restore(callback, req, "baseUrl", "next", "params"); req.next = next; if (req.method === "OPTIONS") { methods2 = []; done = wrap2(done, generateOptionsResponder(res, methods2)); } req.baseUrl = parentUrl; req.originalUrl = req.originalUrl || req.url; next(); function next(err) { var layerError = err === "route" ? null : err; if (slashAdded) { req.url = req.url.slice(1); slashAdded = false; } if (removed.length !== 0) { req.baseUrl = parentUrl; req.url = protohost + removed + req.url.slice(protohost.length); removed = ""; } if (layerError === "router") { setImmediate(done, null); return; } if (idx >= stack2.length) { setImmediate(done, layerError); return; } if (++sync > 100) { return setImmediate(next, err); } var path2 = getPathname(req); if (path2 == null) { return done(layerError); } var layer; var match; var route; while (match !== true && idx < stack2.length) { layer = stack2[idx++]; match = matchLayer(layer, path2); route = layer.route; if (typeof match !== "boolean") { layerError = layerError || match; } if (match !== true) { continue; } if (!route) { continue; } if (layerError) { match = false; continue; } var method = req.method; var hasMethod = route._handlesMethod(method); if (!hasMethod && method === "OPTIONS" && methods2) { methods2.push.apply(methods2, route._methods()); } if (!hasMethod && method !== "HEAD") { match = false; continue; } } if (match !== true) { return done(layerError); } if (route) { req.route = route; } req.params = self2.mergeParams ? mergeParams(layer.params, parentParams) : layer.params; var layerPath = layer.path; processParams(self2.params, layer, paramcalled, req, res, function(err2) { if (err2) { next(layerError || err2); } else if (route) { layer.handleRequest(req, res, next); } else { trimPrefix(layer, layerError, layerPath, path2); } sync = 0; }); } function trimPrefix(layer, layerError, layerPath, path2) { if (layerPath.length !== 0) { if (layerPath !== path2.substring(0, layerPath.length)) { next(layerError); return; } var c = path2[layerPath.length]; if (c && c !== "/") { next(layerError); return; } removed = layerPath; req.url = protohost + req.url.slice(protohost.length + removed.length); if (!protohost && req.url[0] !== "/") { req.url = "/" + req.url; slashAdded = true; } req.baseUrl = parentUrl + (removed[removed.length - 1] === "/" ? removed.substring(0, removed.length - 1) : removed); } if (layerError) { layer.handleError(layerError, req, res, next); } else { layer.handleRequest(req, res, next); } } }; Router.prototype.use = function use(handler) { var offset = 0; var path2 = "/"; if (typeof handler !== "function") { var arg = handler; while (Array.isArray(arg) && arg.length !== 0) { arg = arg[0]; } if (typeof arg !== "function") { offset = 1; path2 = handler; } } var callbacks = flatten(slice.call(arguments, offset)); if (callbacks.length === 0) { throw new TypeError("argument handler is required"); } for (var i = 0; i < callbacks.length; i++) { var fn2 = callbacks[i]; if (typeof fn2 !== "function") { throw new TypeError("argument handler must be a function"); } var layer = new Layer(path2, { sensitive: this.caseSensitive, strict: false, end: false }, fn2); layer.route = void 0; this.stack.push(layer); } return this; }; Router.prototype.route = function route(path2) { var route2 = new Route(path2); var layer = new Layer(path2, { sensitive: this.caseSensitive, strict: this.strict, end: true }, handle); function handle(req, res, next) { route2.dispatch(req, res, next); } layer.route = route2; this.stack.push(layer); return route2; }; methods.concat("all").forEach(function(method) { Router.prototype[method] = function(path2) { var route = this.route(path2); route[method].apply(route, slice.call(arguments, 1)); return this; }; }); function generateOptionsResponder(res, methods2) { return function onDone(fn2, err) { if (err || methods2.length === 0) { return fn2(err); } trySendOptionsResponse(res, methods2, fn2); }; } function getPathname(req) { try { return parseUrl(req).pathname; } catch (err) { return void 0; } } function getProtohost(url) { if (typeof url !== "string" || url.length === 0 || url[0] === "/") { return void 0; } var searchIndex = url.indexOf("?"); var pathLength = searchIndex !== -1 ? searchIndex : url.length; var fqdnIndex = url.substring(0, pathLength).indexOf("://"); return fqdnIndex !== -1 ? url.substring(0, url.indexOf("/", 3 + fqdnIndex)) : void 0; } function matchLayer(layer, path2) { try { return layer.match(path2); } catch (err) { return err; } } function mergeParams(params, parent) { if (typeof parent !== "object" || !parent) { return params; } var obj = mixin({}, parent); if (!(0 in params) || !(0 in parent)) { return mixin(obj, params); } var i = 0; var o = 0; while (i in params) { i++; } while (o in parent) { o++; } for (i--; i >= 0; i--) { params[i + o] = params[i]; if (i < o) { delete params[i]; } } return mixin(obj, params); } function processParams(params, layer, called, req, res, done) { var keys = layer.keys; if (!keys || keys.length === 0) { return done(); } var i = 0; var name; var paramIndex = 0; var key; var paramVal; var paramCallbacks; var paramCalled; function param(err) { if (err) { return done(err); } if (i >= keys.length) { return done(); } paramIndex = 0; key = keys[i++]; name = key.name; paramVal = req.params[name]; paramCallbacks = params[name]; paramCalled = called[name]; if (paramVal === void 0 || !paramCallbacks) { return param(); } if (paramCalled && (paramCalled.match === paramVal || paramCalled.error && paramCalled.error !== "route")) { req.params[name] = paramCalled.value; return param(paramCalled.error); } called[name] = paramCalled = { error: null, match: paramVal, value: paramVal }; paramCallback(); } function paramCallback(err) { var fn2 = paramCallbacks[paramIndex++]; paramCalled.value = req.params[key.name]; if (err) { paramCalled.error = err; param(err); return; } if (!fn2) return param(); try { var ret = fn2(req, res, paramCallback, paramVal, key.name); if (isPromise(ret)) { ret.then(null, function(error) { paramCallback(error || new Error("Rejected promise")); }); } } catch (e) { paramCallback(e); } } param(); } function restore(fn2, obj) { var props = new Array(arguments.length - 2); var vals = new Array(arguments.length - 2); for (var i = 0; i < props.length; i++) { props[i] = arguments[i + 2]; vals[i] = obj[props[i]]; } return function() { for (var i2 = 0; i2 < props.length; i2++) { obj[props[i2]] = vals[i2]; } return fn2.apply(this, arguments); }; } function sendOptionsResponse(res, methods2) { var options = /* @__PURE__ */ Object.create(null); for (var i = 0; i < methods2.length; i++) { options[methods2[i]] = true; } var allow = Object.keys(options).sort().join(", "); res.setHeader("Allow", allow); res.setHeader("Content-Length", Buffer.byteLength(allow)); res.setHeader("Content-Type", "text/plain"); res.setHeader("X-Content-Type-Options", "nosniff"); res.end(allow); } function trySendOptionsResponse(res, methods2, next) { try { sendOptionsResponse(res, methods2); } catch (err) { next(err); } } function wrap2(old, fn2) { return function proxy() { var args2 = new Array(arguments.length + 1); args2[0] = old; for (var i = 0, len = arguments.length; i < len; i++) { args2[i + 1] = arguments[i]; } fn2.apply(this, args2); }; } } }); var require_application = __commonJS({ "node_modules/express/lib/application.js"(exports2, module2) { "use strict"; var finalhandler = require_finalhandler(); var methods = require_methods(); var debug = require_src3()("express:application"); var View = require_view(); var http3 = require("http"); var compileETag = require_utils2().compileETag; var compileQueryParser = require_utils2().compileQueryParser; var compileTrust = require_utils2().compileTrust; var flatten = require_dist().flatten; var merge = require_utils_merge(); var resolve = require("path").resolve; var Router = require_router(); var setPrototypeOf = require_setprototypeof(); var hasOwnProperty = Object.prototype.hasOwnProperty; var slice = Array.prototype.slice; var app = exports2 = module2.exports = {}; var trustProxyDefaultSymbol = "@@symbol:trust_proxy_default"; app.init = function init() { var router = null; this.cache = {}; this.engines = {}; this.settings = {}; this.defaultConfiguration(); Object.defineProperty(this, "router", { configurable: true, enumerable: true, get: function getrouter() { if (router === null) { router = new Router({ caseSensitive: this.enabled("case sensitive routing"), strict: this.enabled("strict routing") }); } return router; } }); }; app.defaultConfiguration = function defaultConfiguration() { var env = process.env.NODE_ENV || "development"; this.enable("x-powered-by"); this.set("etag", "weak"); this.set("env", env); this.set("query parser", "simple"); this.set("subdomain offset", 2); this.set("trust proxy", false); Object.defineProperty(this.settings, trustProxyDefaultSymbol, { configurable: true, value: true }); debug("booting in %s mode", env); this.on("mount", function onmount(parent) { if (this.settings[trustProxyDefaultSymbol] === true && typeof parent.settings["trust proxy fn"] === "function") { delete this.settings["trust proxy"]; delete this.settings["trust proxy fn"]; } setPrototypeOf(this.request, parent.request); setPrototypeOf(this.response, parent.response); setPrototypeOf(this.engines, parent.engines); setPrototypeOf(this.settings, parent.settings); }); this.locals = /* @__PURE__ */ Object.create(null); this.mountpath = "/"; this.locals.settings = this.settings; this.set("view", View); this.set("views", resolve("views")); this.set("jsonp callback name", "callback"); if (env === "production") { this.enable("view cache"); } }; app.handle = function handle(req, res, callback) { var done = callback || finalhandler(req, res, { env: this.get("env"), onerror: logerror.bind(this) }); if (this.enabled("x-powered-by")) { res.setHeader("X-Powered-By", "Express"); } req.res = res; res.req = req; setPrototypeOf(req, this.request); setPrototypeOf(res, this.response); if (!res.locals) { res.locals = /* @__PURE__ */ Object.create(null); } this.router.handle(req, res, done); }; app.use = function use(fn2) { var offset = 0; var path2 = "/"; if (typeof fn2 !== "function") { var arg = fn2; while (Array.isArray(arg) && arg.length !== 0) { arg = arg[0]; } if (typeof arg !== "function") { offset = 1; path2 = fn2; } } var fns = flatten(slice.call(arguments, offset)); if (fns.length === 0) { throw new TypeError("app.use() requires a middleware function"); } var router = this.router; fns.forEach(function(fn3) { if (!fn3 || !fn3.handle || !fn3.set) { return router.use(path2, fn3); } debug(".use app under %s", path2); fn3.mountpath = path2; fn3.parent = this; router.use(path2, function mounted_app(req, res, next) { var orig = req.app; fn3.handle(req, res, function(err) { setPrototypeOf(req, orig.request); setPrototypeOf(res, orig.response); next(err); }); }); fn3.emit("mount", this); }, this); return this; }; app.route = function route(path2) { return this.router.route(path2); }; app.engine = function engine(ext, fn2) { if (typeof fn2 !== "function") { throw new Error("callback function required"); } var extension = ext[0] !== "." ? "." + ext : ext; this.engines[extension] = fn2; return this; }; app.param = function param(name, fn2) { if (Array.isArray(name)) { for (var i = 0; i < name.length; i++) { this.param(name[i], fn2); } return this; } this.router.param(name, fn2); return this; }; app.set = function set(setting, val) { if (arguments.length === 1) { var settings = this.settings; while (settings && settings !== Object.prototype) { if (hasOwnProperty.call(settings, setting)) { return settings[setting]; } settings = Object.getPrototypeOf(settings); } return void 0; } debug('set "%s" to %o', setting, val); this.settings[setting] = val; switch (setting) { case "etag": this.set("etag fn", compileETag(val)); break; case "query parser": this.set("query parser fn", compileQueryParser(val)); break; case "trust proxy": this.set("trust proxy fn", compileTrust(val)); Object.defineProperty(this.settings, trustProxyDefaultSymbol, { configurable: true, value: false }); break; } return this; }; app.path = function path2() { return this.parent ? this.parent.path() + this.mountpath : ""; }; app.enabled = function enabled(setting) { return Boolean(this.set(setting)); }; app.disabled = function disabled(setting) { return !this.set(setting); }; app.enable = function enable(setting) { return this.set(setting, true); }; app.disable = function disable(setting) { return this.set(setting, false); }; methods.forEach(function(method) { app[method] = function(path2) { if (method === "get" && arguments.length === 1) { return this.set(path2); } var route = this.route(path2); route[method].apply(route, slice.call(arguments, 1)); return this; }; }); app.all = function all(path2) { var route = this.route(path2); var args2 = slice.call(arguments, 1); for (var i = 0; i < methods.length; i++) { route[methods[i]].apply(route, args2); } return this; }; app.render = function render(name, options, callback) { var cache = this.cache; var done = callback; var engines = this.engines; var opts = options; var renderOptions = {}; var view; if (typeof options === "function") { done = options; opts = {}; } merge(renderOptions, this.locals); if (opts._locals) { merge(renderOptions, opts._locals); } merge(renderOptions, opts); if (renderOptions.cache == null) { renderOptions.cache = this.enabled("view cache"); } if (renderOptions.cache) { view = cache[name]; } if (!view) { var View2 = this.get("view"); view = new View2(name, { defaultEngine: this.get("view engine"), root: this.get("views"), engines }); if (!view.path) { var dirs = Array.isArray(view.root) && view.root.length > 1 ? 'directories "' + view.root.slice(0, -1).join('", "') + '" or "' + view.root[view.root.length - 1] + '"' : 'directory "' + view.root + '"'; var err = new Error('Failed to lookup view "' + name + '" in views ' + dirs); err.view = view; return done(err); } if (renderOptions.cache) { cache[name] = view; } } tryRender(view, renderOptions, done); }; app.listen = function listen() { var server = http3.createServer(this); return server.listen.apply(server, arguments); }; function logerror(err) { if (this.get("env") !== "test") console.error(err.stack || err.toString()); } function tryRender(view, options, callback) { try { view.render(options, callback); } catch (err) { callback(err); } } } }); var require_charset = __commonJS({ "node_modules/negotiator/lib/charset.js"(exports2, module2) { "use strict"; module2.exports = preferredCharsets; module2.exports.preferredCharsets = preferredCharsets; var simpleCharsetRegExp = /^\s*([^\s;]+)\s*(?:;(.*))?$/; function parseAcceptCharset(accept) { var accepts = accept.split(","); for (var i = 0, j = 0; i < accepts.length; i++) { var charset = parseCharset(accepts[i].trim(), i); if (charset) { accepts[j++] = charset; } } accepts.length = j; return accepts; } function parseCharset(str, i) { var match = simpleCharsetRegExp.exec(str); if (!match) return null; var charset = match[1]; var q = 1; if (match[2]) { var params = match[2].split(";"); for (var j = 0; j < params.length; j++) { var p = params[j].trim().split("="); if (p[0] === "q") { q = parseFloat(p[1]); break; } } } return { charset, q, i }; } function getCharsetPriority(charset, accepted, index) { var priority = { o: -1, q: 0, s: 0 }; for (var i = 0; i < accepted.length; i++) { var spec = specify(charset, accepted[i], index); if (spec && (priority.s - spec.s || priority.q - spec.q || priority.o - spec.o) < 0) { priority = spec; } } return priority; } function specify(charset, spec, index) { var s = 0; if (spec.charset.toLowerCase() === charset.toLowerCase()) { s |= 1; } else if (spec.charset !== "*") { return null; } return { i: index, o: spec.i, q: spec.q, s }; } function preferredCharsets(accept, provided) { var accepts = parseAcceptCharset(accept === void 0 ? "*" : accept || ""); if (!provided) { return accepts.filter(isQuality).sort(compareSpecs).map(getFullCharset); } var priorities = provided.map(function getPriority(type, index) { return getCharsetPriority(type, accepts, index); }); return priorities.filter(isQuality).sort(compareSpecs).map(function getCharset(priority) { return provided[priorities.indexOf(priority)]; }); } function compareSpecs(a, b) { return b.q - a.q || b.s - a.s || a.o - b.o || a.i - b.i || 0; } function getFullCharset(spec) { return spec.charset; } function isQuality(spec) { return spec.q > 0; } } }); var require_encoding = __commonJS({ "node_modules/negotiator/lib/encoding.js"(exports2, module2) { "use strict"; module2.exports = preferredEncodings; module2.exports.preferredEncodings = preferredEncodings; var simpleEncodingRegExp = /^\s*([^\s;]+)\s*(?:;(.*))?$/; function parseAcceptEncoding(accept) { var accepts = accept.split(","); var hasIdentity = false; var minQuality = 1; for (var i = 0, j = 0; i < accepts.length; i++) { var encoding = parseEncoding(accepts[i].trim(), i); if (encoding) { accepts[j++] = encoding; hasIdentity = hasIdentity || specify("identity", encoding); minQuality = Math.min(minQuality, encoding.q || 1); } } if (!hasIdentity) { accepts[j++] = { encoding: "identity", q: minQuality, i }; } accepts.length = j; return accepts; } function parseEncoding(str, i) { var match = simpleEncodingRegExp.exec(str); if (!match) return null; var encoding = match[1]; var q = 1; if (match[2]) { var params = match[2].split(";"); for (var j = 0; j < params.length; j++) { var p = params[j].trim().split("="); if (p[0] === "q") { q = parseFloat(p[1]); break; } } } return { encoding, q, i }; } function getEncodingPriority(encoding, accepted, index) { var priority = { o: -1, q: 0, s: 0 }; for (var i = 0; i < accepted.length; i++) { var spec = specify(encoding, accepted[i], index); if (spec && (priority.s - spec.s || priority.q - spec.q || priority.o - spec.o) < 0) { priority = spec; } } return priority; } function specify(encoding, spec, index) { var s = 0; if (spec.encoding.toLowerCase() === encoding.toLowerCase()) { s |= 1; } else if (spec.encoding !== "*") { return null; } return { i: index, o: spec.i, q: spec.q, s }; } function preferredEncodings(accept, provided) { var accepts = parseAcceptEncoding(accept || ""); if (!provided) { return accepts.filter(isQuality).sort(compareSpecs).map(getFullEncoding); } var priorities = provided.map(function getPriority(type, index) { return getEncodingPriority(type, accepts, index); }); return priorities.filter(isQuality).sort(compareSpecs).map(function getEncoding(priority) { return provided[priorities.indexOf(priority)]; }); } function compareSpecs(a, b) { return b.q - a.q || b.s - a.s || a.o - b.o || a.i - b.i || 0; } function getFullEncoding(spec) { return spec.encoding; } function isQuality(spec) { return spec.q > 0; } } }); var require_language = __commonJS({ "node_modules/negotiator/lib/language.js"(exports2, module2) { "use strict"; module2.exports = preferredLanguages; module2.exports.preferredLanguages = preferredLanguages; var simpleLanguageRegExp = /^\s*([^\s\-;]+)(?:-([^\s;]+))?\s*(?:;(.*))?$/; function parseAcceptLanguage(accept) { var accepts = accept.split(","); for (var i = 0, j = 0; i < accepts.length; i++) { var language = parseLanguage(accepts[i].trim(), i); if (language) { accepts[j++] = language; } } accepts.length = j; return accepts; } function parseLanguage(str, i) { var match = simpleLanguageRegExp.exec(str); if (!match) return null; var prefix = match[1]; var suffix = match[2]; var full = prefix; if (suffix) full += "-" + suffix; var q = 1; if (match[3]) { var params = match[3].split(";"); for (var j = 0; j < params.length; j++) { var p = params[j].split("="); if (p[0] === "q") q = parseFloat(p[1]); } } return { prefix, suffix, q, i, full }; } function getLanguagePriority(language, accepted, index) { var priority = { o: -1, q: 0, s: 0 }; for (var i = 0; i < accepted.length; i++) { var spec = specify(language, accepted[i], index); if (spec && (priority.s - spec.s || priority.q - spec.q || priority.o - spec.o) < 0) { priority = spec; } } return priority; } function specify(language, spec, index) { var p = parseLanguage(language); if (!p) return null; var s = 0; if (spec.full.toLowerCase() === p.full.toLowerCase()) { s |= 4; } else if (spec.prefix.toLowerCase() === p.full.toLowerCase()) { s |= 2; } else if (spec.full.toLowerCase() === p.prefix.toLowerCase()) { s |= 1; } else if (spec.full !== "*") { return null; } return { i: index, o: spec.i, q: spec.q, s }; } function preferredLanguages(accept, provided) { var accepts = parseAcceptLanguage(accept === void 0 ? "*" : accept || ""); if (!provided) { return accepts.filter(isQuality).sort(compareSpecs).map(getFullLanguage); } var priorities = provided.map(function getPriority(type, index) { return getLanguagePriority(type, accepts, index); }); return priorities.filter(isQuality).sort(compareSpecs).map(function getLanguage(priority) { return provided[priorities.indexOf(priority)]; }); } function compareSpecs(a, b) { return b.q - a.q || b.s - a.s || a.o - b.o || a.i - b.i || 0; } function getFullLanguage(spec) { return spec.full; } function isQuality(spec) { return spec.q > 0; } } }); var require_mediaType = __commonJS({ "node_modules/negotiator/lib/mediaType.js"(exports2, module2) { "use strict"; module2.exports = preferredMediaTypes; module2.exports.preferredMediaTypes = preferredMediaTypes; var simpleMediaTypeRegExp = /^\s*([^\s\/;]+)\/([^;\s]+)\s*(?:;(.*))?$/; function parseAccept(accept) { var accepts = splitMediaTypes(accept); for (var i = 0, j = 0; i < accepts.length; i++) { var mediaType = parseMediaType(accepts[i].trim(), i); if (mediaType) { accepts[j++] = mediaType; } } accepts.length = j; return accepts; } function parseMediaType(str, i) { var match = simpleMediaTypeRegExp.exec(str); if (!match) return null; var params = /* @__PURE__ */ Object.create(null); var q = 1; var subtype = match[2]; var type = match[1]; if (match[3]) { var kvps = splitParameters(match[3]).map(splitKeyValuePair); for (var j = 0; j < kvps.length; j++) { var pair = kvps[j]; var key = pair[0].toLowerCase(); var val = pair[1]; var value = val && val[0] === '"' && val[val.length - 1] === '"' ? val.substr(1, val.length - 2) : val; if (key === "q") { q = parseFloat(value); break; } params[key] = value; } } return { type, subtype, params, q, i }; } function getMediaTypePriority(type, accepted, index) { var priority = { o: -1, q: 0, s: 0 }; for (var i = 0; i < accepted.length; i++) { var spec = specify(type, accepted[i], index); if (spec && (priority.s - spec.s || priority.q - spec.q || priority.o - spec.o) < 0) { priority = spec; } } return priority; } function specify(type, spec, index) { var p = parseMediaType(type); var s = 0; if (!p) { return null; } if (spec.type.toLowerCase() == p.type.toLowerCase()) { s |= 4; } else if (spec.type != "*") { return null; } if (spec.subtype.toLowerCase() == p.subtype.toLowerCase()) { s |= 2; } else if (spec.subtype != "*") { return null; } var keys = Object.keys(spec.params); if (keys.length > 0) { if (keys.every(function(k) { return spec.params[k] == "*" || (spec.params[k] || "").toLowerCase() == (p.params[k] || "").toLowerCase(); })) { s |= 1; } else { return null; } } return { i: index, o: spec.i, q: spec.q, s }; } function preferredMediaTypes(accept, provided) { var accepts = parseAccept(accept === void 0 ? "*/*" : accept || ""); if (!provided) { return accepts.filter(isQuality).sort(compareSpecs).map(getFullType); } var priorities = provided.map(function getPriority(type, index) { return getMediaTypePriority(type, accepts, index); }); return priorities.filter(isQuality).sort(compareSpecs).map(function getType(priority) { return provided[priorities.indexOf(priority)]; }); } function compareSpecs(a, b) { return b.q - a.q || b.s - a.s || a.o - b.o || a.i - b.i || 0; } function getFullType(spec) { return spec.type + "/" + spec.subtype; } function isQuality(spec) { return spec.q > 0; } function quoteCount(string) { var count = 0; var index = 0; while ((index = string.indexOf('"', index)) !== -1) { count++; index++; } return count; } function splitKeyValuePair(str) { var index = str.indexOf("="); var key; var val; if (index === -1) { key = str; } else { key = str.substr(0, index); val = str.substr(index + 1); } return [key, val]; } function splitMediaTypes(accept) { var accepts = accept.split(","); for (var i = 1, j = 0; i < accepts.length; i++) { if (quoteCount(accepts[j]) % 2 == 0) { accepts[++j] = accepts[i]; } else { accepts[j] += "," + accepts[i]; } } accepts.length = j + 1; return accepts; } function splitParameters(str) { var parameters = str.split(";"); for (var i = 1, j = 0; i < parameters.length; i++) { if (quoteCount(parameters[j]) % 2 == 0) { parameters[++j] = parameters[i]; } else { parameters[j] += ";" + parameters[i]; } } parameters.length = j + 1; for (var i = 0; i < parameters.length; i++) { parameters[i] = parameters[i].trim(); } return parameters; } } }); var require_negotiator = __commonJS({ "node_modules/negotiator/index.js"(exports2, module2) { "use strict"; var preferredCharsets = require_charset(); var preferredEncodings = require_encoding(); var preferredLanguages = require_language(); var preferredMediaTypes = require_mediaType(); module2.exports = Negotiator; module2.exports.Negotiator = Negotiator; function Negotiator(request) { if (!(this instanceof Negotiator)) { return new Negotiator(request); } this.request = request; } Negotiator.prototype.charset = function charset(available) { var set = this.charsets(available); return set && set[0]; }; Negotiator.prototype.charsets = function charsets(available) { return preferredCharsets(this.request.headers["accept-charset"], available); }; Negotiator.prototype.encoding = function encoding(available) { var set = this.encodings(available); return set && set[0]; }; Negotiator.prototype.encodings = function encodings(available) { return preferredEncodings(this.request.headers["accept-encoding"], available); }; Negotiator.prototype.language = function language(available) { var set = this.languages(available); return set && set[0]; }; Negotiator.prototype.languages = function languages(available) { return preferredLanguages(this.request.headers["accept-language"], available); }; Negotiator.prototype.mediaType = function mediaType(available) { var set = this.mediaTypes(available); return set && set[0]; }; Negotiator.prototype.mediaTypes = function mediaTypes(available) { return preferredMediaTypes(this.request.headers.accept, available); }; Negotiator.prototype.preferredCharset = Negotiator.prototype.charset; Negotiator.prototype.preferredCharsets = Negotiator.prototype.charsets; Negotiator.prototype.preferredEncoding = Negotiator.prototype.encoding; Negotiator.prototype.preferredEncodings = Negotiator.prototype.encodings; Negotiator.prototype.preferredLanguage = Negotiator.prototype.language; Negotiator.prototype.preferredLanguages = Negotiator.prototype.languages; Negotiator.prototype.preferredMediaType = Negotiator.prototype.mediaType; Negotiator.prototype.preferredMediaTypes = Negotiator.prototype.mediaTypes; } }); var require_accepts = __commonJS({ "node_modules/accepts/index.js"(exports2, module2) { "use strict"; var Negotiator = require_negotiator(); var mime2 = require_mime_types(); module2.exports = Accepts; function Accepts(req) { if (!(this instanceof Accepts)) { return new Accepts(req); } this.headers = req.headers; this.negotiator = new Negotiator(req); } Accepts.prototype.type = Accepts.prototype.types = function(types_) { var types = types_; if (types && !Array.isArray(types)) { types = new Array(arguments.length); for (var i = 0; i < types.length; i++) { types[i] = arguments[i]; } } if (!types || types.length === 0) { return this.negotiator.mediaTypes(); } if (!this.headers.accept) { return types[0]; } var mimes = types.map(extToMime); var accepts = this.negotiator.mediaTypes(mimes.filter(validMime)); var first = accepts[0]; return first ? types[mimes.indexOf(first)] : false; }; Accepts.prototype.encoding = Accepts.prototype.encodings = function(encodings_) { var encodings = encodings_; if (encodings && !Array.isArray(encodings)) { encodings = new Array(arguments.length); for (var i = 0; i < encodings.length; i++) { encodings[i] = arguments[i]; } } if (!encodings || encodings.length === 0) { return this.negotiator.encodings(); } return this.negotiator.encodings(encodings)[0] || false; }; Accepts.prototype.charset = Accepts.prototype.charsets = function(charsets_) { var charsets = charsets_; if (charsets && !Array.isArray(charsets)) { charsets = new Array(arguments.length); for (var i = 0; i < charsets.length; i++) { charsets[i] = arguments[i]; } } if (!charsets || charsets.length === 0) { return this.negotiator.charsets(); } return this.negotiator.charsets(charsets)[0] || false; }; Accepts.prototype.lang = Accepts.prototype.langs = Accepts.prototype.language = Accepts.prototype.languages = function(languages_) { var languages = languages_; if (languages && !Array.isArray(languages)) { languages = new Array(arguments.length); for (var i = 0; i < languages.length; i++) { languages[i] = arguments[i]; } } if (!languages || languages.length === 0) { return this.negotiator.languages(); } return this.negotiator.languages(languages)[0] || false; }; function extToMime(type) { return type.indexOf("/") === -1 ? mime2.lookup(type) : type; } function validMime(type) { return typeof type === "string"; } } }); var require_fresh = __commonJS({ "node_modules/fresh/index.js"(exports2, module2) { "use strict"; var CACHE_CONTROL_NO_CACHE_REGEXP = /(?:^|,)\s*?no-cache\s*?(?:,|$)/; module2.exports = fresh; function fresh(reqHeaders, resHeaders) { var modifiedSince = reqHeaders["if-modified-since"]; var noneMatch = reqHeaders["if-none-match"]; if (!modifiedSince && !noneMatch) { return false; } var cacheControl = reqHeaders["cache-control"]; if (cacheControl && CACHE_CONTROL_NO_CACHE_REGEXP.test(cacheControl)) { return false; } if (noneMatch && noneMatch !== "*") { var etag = resHeaders["etag"]; if (!etag) { return false; } var etagStale = true; var matches = parseTokenList(noneMatch); for (var i = 0; i < matches.length; i++) { var match = matches[i]; if (match === etag || match === "W/" + etag || "W/" + match === etag) { etagStale = false; break; } } if (etagStale) { return false; } } if (modifiedSince) { var lastModified = resHeaders["last-modified"]; var modifiedStale = !lastModified || !(parseHttpDate(lastModified) <= parseHttpDate(modifiedSince)); if (modifiedStale) { return false; } } return true; } function parseHttpDate(date) { var timestamp = date && Date.parse(date); return typeof timestamp === "number" ? timestamp : NaN; } function parseTokenList(str) { var end = 0; var list = []; var start = 0; for (var i = 0, len = str.length; i < len; i++) { switch (str.charCodeAt(i)) { case 32: if (start === end) { start = end = i + 1; } break; case 44: list.push(str.substring(start, end)); start = end = i + 1; break; default: end = i + 1; break; } } list.push(str.substring(start, end)); return list; } } }); var require_range_parser = __commonJS({ "node_modules/range-parser/index.js"(exports2, module2) { "use strict"; module2.exports = rangeParser; function rangeParser(size, str, options) { if (typeof str !== "string") { throw new TypeError("argument str must be a string"); } var index = str.indexOf("="); if (index === -1) { return -2; } var arr = str.slice(index + 1).split(","); var ranges = []; ranges.type = str.slice(0, index); for (var i = 0; i < arr.length; i++) { var range = arr[i].split("-"); var start = parseInt(range[0], 10); var end = parseInt(range[1], 10); if (isNaN(start)) { start = size - end; end = size - 1; } else if (isNaN(end)) { end = size - 1; } if (end > size - 1) { end = size - 1; } if (isNaN(start) || isNaN(end) || start > end || start < 0) { continue; } ranges.push({ start, end }); } if (ranges.length < 1) { return -1; } return options && options.combine ? combineRanges(ranges) : ranges; } function combineRanges(ranges) { var ordered = ranges.map(mapWithIndex).sort(sortByRangeStart); for (var j = 0, i = 1; i < ordered.length; i++) { var range = ordered[i]; var current = ordered[j]; if (range.start > current.end + 1) { ordered[++j] = range; } else if (range.end > current.end) { current.end = range.end; current.index = Math.min(current.index, range.index); } } ordered.length = j + 1; var combined = ordered.sort(sortByRangeIndex).map(mapWithoutIndex); combined.type = ranges.type; return combined; } function mapWithIndex(range, index) { return { start: range.start, end: range.end, index }; } function mapWithoutIndex(range) { return { start: range.start, end: range.end }; } function sortByRangeIndex(a, b) { return a.index - b.index; } function sortByRangeStart(a, b) { return a.start - b.start; } } }); var require_request = __commonJS({ "node_modules/express/lib/request.js"(exports2, module2) { "use strict"; var accepts = require_accepts(); var isIP = require("net").isIP; var typeis = require_type_is(); var http3 = require("http"); var fresh = require_fresh(); var parseRange = require_range_parser(); var parse = require_parseurl(); var proxyaddr = require_proxy_addr(); var req = Object.create(http3.IncomingMessage.prototype); module2.exports = req; req.get = req.header = function header(name) { if (!name) { throw new TypeError("name argument is required to req.get"); } if (typeof name !== "string") { throw new TypeError("name must be a string to req.get"); } var lc = name.toLowerCase(); switch (lc) { case "referer": case "referrer": return this.headers.referrer || this.headers.referer; default: return this.headers[lc]; } }; req.accepts = function() { var accept = accepts(this); return accept.types.apply(accept, arguments); }; req.acceptsEncodings = function() { var accept = accepts(this); return accept.encodings.apply(accept, arguments); }; req.acceptsCharsets = function() { var accept = accepts(this); return accept.charsets.apply(accept, arguments); }; req.acceptsLanguages = function() { var accept = accepts(this); return accept.languages.apply(accept, arguments); }; req.range = function range(size, options) { var range2 = this.get("Range"); if (!range2) return; return parseRange(size, range2, options); }; defineGetter(req, "query", function query() { var queryparse = this.app.get("query parser fn"); if (!queryparse) { return /* @__PURE__ */ Object.create(null); } var querystring = parse(this).query; return queryparse(querystring); }); req.is = function is(types) { var arr = types; if (!Array.isArray(types)) { arr = new Array(arguments.length); for (var i = 0; i < arr.length; i++) { arr[i] = arguments[i]; } } return typeis(this, arr); }; defineGetter(req, "protocol", function protocol() { var proto = this.connection.encrypted ? "https" : "http"; var trust = this.app.get("trust proxy fn"); if (!trust(this.connection.remoteAddress, 0)) { return proto; } var header = this.get("X-Forwarded-Proto") || proto; var index = header.indexOf(","); return index !== -1 ? header.substring(0, index).trim() : header.trim(); }); defineGetter(req, "secure", function secure() { return this.protocol === "https"; }); defineGetter(req, "ip", function ip() { var trust = this.app.get("trust proxy fn"); return proxyaddr(this, trust); }); defineGetter(req, "ips", function ips() { var trust = this.app.get("trust proxy fn"); var addrs = proxyaddr.all(this, trust); addrs.reverse().pop(); return addrs; }); defineGetter(req, "subdomains", function subdomains() { var hostname = this.hostname; if (!hostname) return []; var offset = this.app.get("subdomain offset"); var subdomains2 = !isIP(hostname) ? hostname.split(".").reverse() : [hostname]; return subdomains2.slice(offset); }); defineGetter(req, "path", function path2() { return parse(this).pathname; }); defineGetter(req, "host", function host() { var trust = this.app.get("trust proxy fn"); var val = this.get("X-Forwarded-Host"); if (!val || !trust(this.connection.remoteAddress, 0)) { val = this.get("Host"); } else if (val.indexOf(",") !== -1) { val = val.substring(0, val.indexOf(",")).trimRight(); } return val || void 0; }); defineGetter(req, "hostname", function hostname() { var host = this.host; if (!host) return; var offset = host[0] === "[" ? host.indexOf("]") + 1 : 0; var index = host.indexOf(":", offset); return index !== -1 ? host.substring(0, index) : host; }); defineGetter(req, "fresh", function() { var method = this.method; var res = this.res; var status = res.statusCode; if (method !== "GET" && method !== "HEAD") return false; if (status >= 200 && status < 300 || status === 304) { return fresh(this.headers, { "etag": res.get("ETag"), "last-modified": res.get("Last-Modified") }); } return false; }); defineGetter(req, "stale", function stale() { return !this.fresh; }); defineGetter(req, "xhr", function xhr() { var val = this.get("X-Requested-With") || ""; return val.toLowerCase() === "xmlhttprequest"; }); function defineGetter(obj, name, getter) { Object.defineProperty(obj, name, { configurable: true, enumerable: true, get: getter }); } } }); var require_content_disposition = __commonJS({ "node_modules/content-disposition/index.js"(exports2, module2) { "use strict"; module2.exports = contentDisposition; module2.exports.parse = parse; var basename = require("path").basename; var Buffer2 = require_safe_buffer().Buffer; var ENCODE_URL_ATTR_CHAR_REGEXP = /[\x00-\x20"'()*,/:;<=>?@[\\\]{}\x7f]/g; var HEX_ESCAPE_REGEXP = /%[0-9A-Fa-f]{2}/; var HEX_ESCAPE_REPLACE_REGEXP = /%([0-9A-Fa-f]{2})/g; var NON_LATIN1_REGEXP = /[^\x20-\x7e\xa0-\xff]/g; var QESC_REGEXP = /\\([\u0000-\u007f])/g; var QUOTE_REGEXP = /([\\"])/g; var PARAM_REGEXP = /;[\x09\x20]*([!#$%&'*+.0-9A-Z^_`a-z|~-]+)[\x09\x20]*=[\x09\x20]*("(?:[\x20!\x23-\x5b\x5d-\x7e\x80-\xff]|\\[\x20-\x7e])*"|[!#$%&'*+.0-9A-Z^_`a-z|~-]+)[\x09\x20]*/g; var TEXT_REGEXP = /^[\x20-\x7e\x80-\xff]+$/; var TOKEN_REGEXP = /^[!#$%&'*+.0-9A-Z^_`a-z|~-]+$/; var EXT_VALUE_REGEXP = /^([A-Za-z0-9!#$%&+\-^_`{}~]+)'(?:[A-Za-z]{2,3}(?:-[A-Za-z]{3}){0,3}|[A-Za-z]{4,8}|)'((?:%[0-9A-Fa-f]{2}|[A-Za-z0-9!#$&+.^_`|~-])+)$/; var DISPOSITION_TYPE_REGEXP = /^([!#$%&'*+.0-9A-Z^_`a-z|~-]+)[\x09\x20]*(?:$|;)/; function contentDisposition(filename, options) { var opts = options || {}; var type = opts.type || "attachment"; var params = createparams(filename, opts.fallback); return format(new ContentDisposition(type, params)); } function createparams(filename, fallback) { if (filename === void 0) { return; } var params = {}; if (typeof filename !== "string") { throw new TypeError("filename must be a string"); } if (fallback === void 0) { fallback = true; } if (typeof fallback !== "string" && typeof fallback !== "boolean") { throw new TypeError("fallback must be a string or boolean"); } if (typeof fallback === "string" && NON_LATIN1_REGEXP.test(fallback)) { throw new TypeError("fallback must be ISO-8859-1 string"); } var name = basename(filename); var isQuotedString = TEXT_REGEXP.test(name); var fallbackName = typeof fallback !== "string" ? fallback && getlatin1(name) : basename(fallback); var hasFallback = typeof fallbackName === "string" && fallbackName !== name; if (hasFallback || !isQuotedString || HEX_ESCAPE_REGEXP.test(name)) { params["filename*"] = name; } if (isQuotedString || hasFallback) { params.filename = hasFallback ? fallbackName : name; } return params; } function format(obj) { var parameters = obj.parameters; var type = obj.type; if (!type || typeof type !== "string" || !TOKEN_REGEXP.test(type)) { throw new TypeError("invalid type"); } var string = String(type).toLowerCase(); if (parameters && typeof parameters === "object") { var param; var params = Object.keys(parameters).sort(); for (var i = 0; i < params.length; i++) { param = params[i]; var val = param.substr(-1) === "*" ? ustring(parameters[param]) : qstring(parameters[param]); string += "; " + param + "=" + val; } } return string; } function decodefield(str) { var match = EXT_VALUE_REGEXP.exec(str); if (!match) { throw new TypeError("invalid extended field value"); } var charset = match[1].toLowerCase(); var encoded = match[2]; var value; var binary = encoded.replace(HEX_ESCAPE_REPLACE_REGEXP, pdecode); switch (charset) { case "iso-8859-1": value = getlatin1(binary); break; case "utf-8": value = Buffer2.from(binary, "binary").toString("utf8"); break; default: throw new TypeError("unsupported charset in extended field"); } return value; } function getlatin1(val) { return String(val).replace(NON_LATIN1_REGEXP, "?"); } function parse(string) { if (!string || typeof string !== "string") { throw new TypeError("argument string is required"); } var match = DISPOSITION_TYPE_REGEXP.exec(string); if (!match) { throw new TypeError("invalid type format"); } var index = match[0].length; var type = match[1].toLowerCase(); var key; var names = []; var params = {}; var value; index = PARAM_REGEXP.lastIndex = match[0].substr(-1) === ";" ? index - 1 : index; while (match = PARAM_REGEXP.exec(string)) { if (match.index !== index) { throw new TypeError("invalid parameter format"); } index += match[0].length; key = match[1].toLowerCase(); value = match[2]; if (names.indexOf(key) !== -1) { throw new TypeError("invalid duplicate parameter"); } names.push(key); if (key.indexOf("*") + 1 === key.length) { key = key.slice(0, -1); value = decodefield(value); params[key] = value; continue; } if (typeof params[key] === "string") { continue; } if (value[0] === '"') { value = value.substr(1, value.length - 2).replace(QESC_REGEXP, "$1"); } params[key] = value; } if (index !== -1 && index !== string.length) { throw new TypeError("invalid parameter format"); } return new ContentDisposition(type, params); } function pdecode(str, hex) { return String.fromCharCode(parseInt(hex, 16)); } function pencode(char) { return "%" + String(char).charCodeAt(0).toString(16).toUpperCase(); } function qstring(val) { var str = String(val); return '"' + str.replace(QUOTE_REGEXP, "\\$1") + '"'; } function ustring(val) { var str = String(val); var encoded = encodeURIComponent(str).replace(ENCODE_URL_ATTR_CHAR_REGEXP, pencode); return "UTF-8''" + encoded; } function ContentDisposition(type, parameters) { this.type = type; this.parameters = parameters; } } }); var require_path_is_absolute = __commonJS({ "node_modules/path-is-absolute/index.js"(exports2, module2) { "use strict"; function posix(path2) { return path2.charAt(0) === "/"; } function win32(path2) { var splitDeviceRe = /^([a-zA-Z]:|[\\\/]{2}[^\\\/]+[\\\/]+[^\\\/]+)?([\\\/])?([\s\S]*?)$/; var result = splitDeviceRe.exec(path2); var device = result[1] || ""; var isUnc = Boolean(device && device.charAt(1) !== ":"); return Boolean(result[2] || isUnc); } module2.exports = process.platform === "win32" ? win32 : posix; module2.exports.posix = posix; module2.exports.win32 = win32; } }); var require_cookie_signature = __commonJS({ "node_modules/cookie-signature/index.js"(exports2) { var crypto3 = require("crypto"); exports2.sign = function(val, secret) { if (typeof val != "string") throw new TypeError("Cookie value must be provided as a string."); if (typeof secret != "string") throw new TypeError("Secret string must be provided."); return val + "." + crypto3.createHmac("sha256", secret).update(val).digest("base64").replace(/\=+$/, ""); }; exports2.unsign = function(val, secret) { if (typeof val != "string") throw new TypeError("Signed cookie string must be provided."); if (typeof secret != "string") throw new TypeError("Secret string must be provided."); var str = val.slice(0, val.lastIndexOf(".")), mac = exports2.sign(str, secret); return sha1(mac) == sha1(val) ? str : false; }; function sha1(str) { return crypto3.createHash("sha1").update(str).digest("hex"); } } }); var require_cookie = __commonJS({ "node_modules/cookie/index.js"(exports2) { "use strict"; exports2.parse = parse; exports2.serialize = serialize; var __toString = Object.prototype.toString; var fieldContentRegExp = /^[\u0009\u0020-\u007e\u0080-\u00ff]+$/; function parse(str, options) { if (typeof str !== "string") { throw new TypeError("argument str must be a string"); } var obj = {}; var opt = options || {}; var dec = opt.decode || decode; var index = 0; while (index < str.length) { var eqIdx = str.indexOf("=", index); if (eqIdx === -1) { break; } var endIdx = str.indexOf(";", index); if (endIdx === -1) { endIdx = str.length; } else if (endIdx < eqIdx) { index = str.lastIndexOf(";", eqIdx - 1) + 1; continue; } var key = str.slice(index, eqIdx).trim(); if (obj[key] === void 0) { var val = str.slice(eqIdx + 1, endIdx).trim(); if (val.charCodeAt(0) === 34) { val = val.slice(1, -1); } obj[key] = tryDecode(val, dec); } index = endIdx + 1; } return obj; } function serialize(name, val, options) { var opt = options || {}; var enc = opt.encode || encode; if (typeof enc !== "function") { throw new TypeError("option encode is invalid"); } if (!fieldContentRegExp.test(name)) { throw new TypeError("argument name is invalid"); } var value = enc(val); if (value && !fieldContentRegExp.test(value)) { throw new TypeError("argument val is invalid"); } var str = name + "=" + value; if (opt.maxAge != null) { var maxAge = opt.maxAge - 0; if (isNaN(maxAge) || !isFinite(maxAge)) { throw new TypeError("option maxAge is invalid"); } str += "; Max-Age=" + Math.floor(maxAge); } if (opt.domain) { if (!fieldContentRegExp.test(opt.domain)) { throw new TypeError("option domain is invalid"); } str += "; Domain=" + opt.domain; } if (opt.path) { if (!fieldContentRegExp.test(opt.path)) { throw new TypeError("option path is invalid"); } str += "; Path=" + opt.path; } if (opt.expires) { var expires = opt.expires; if (!isDate(expires) || isNaN(expires.valueOf())) { throw new TypeError("option expires is invalid"); } str += "; Expires=" + expires.toUTCString(); } if (opt.httpOnly) { str += "; HttpOnly"; } if (opt.secure) { str += "; Secure"; } if (opt.partitioned) { str += "; Partitioned"; } if (opt.priority) { var priority = typeof opt.priority === "string" ? opt.priority.toLowerCase() : opt.priority; switch (priority) { case "low": str += "; Priority=Low"; break; case "medium": str += "; Priority=Medium"; break; case "high": str += "; Priority=High"; break; default: throw new TypeError("option priority is invalid"); } } if (opt.sameSite) { var sameSite = typeof opt.sameSite === "string" ? opt.sameSite.toLowerCase() : opt.sameSite; switch (sameSite) { case true: str += "; SameSite=Strict"; break; case "lax": str += "; SameSite=Lax"; break; case "strict": str += "; SameSite=Strict"; break; case "none": str += "; SameSite=None"; break; default: throw new TypeError("option sameSite is invalid"); } } return str; } function decode(str) { return str.indexOf("%") !== -1 ? decodeURIComponent(str) : str; } function encode(val) { return encodeURIComponent(val); } function isDate(val) { return __toString.call(val) === "[object Date]" || val instanceof Date; } function tryDecode(str, decode2) { try { return decode2(str); } catch (e) { return str; } } } }); var require_ms4 = __commonJS({ "node_modules/send/node_modules/debug/node_modules/ms/index.js"(exports2, module2) { var s = 1e3; var m = s * 60; var h = m * 60; var d = h * 24; var y = d * 365.25; module2.exports = function(val, options) { options = options || {}; var type = typeof val; if (type === "string" && val.length > 0) { return parse(val); } else if (type === "number" && isNaN(val) === false) { return options.long ? fmtLong(val) : fmtShort(val); } throw new Error("val is not a non-empty string or a valid number. val=" + JSON.stringify(val)); }; function parse(str) { str = String(str); if (str.length > 100) { return; } var match = /^((?:\d+)?\.?\d+) *(milliseconds?|msecs?|ms|seconds?|secs?|s|minutes?|mins?|m|hours?|hrs?|h|days?|d|years?|yrs?|y)?$/i.exec(str); if (!match) { return; } var n = parseFloat(match[1]); var type = (match[2] || "ms").toLowerCase(); switch (type) { case "years": case "year": case "yrs": case "yr": case "y": return n * y; case "days": case "day": case "d": return n * d; case "hours": case "hour": case "hrs": case "hr": case "h": return n * h; case "minutes": case "minute": case "mins": case "min": case "m": return n * m; case "seconds": case "second": case "secs": case "sec": case "s": return n * s; case "milliseconds": case "millisecond": case "msecs": case "msec": case "ms": return n; default: return void 0; } } function fmtShort(ms) { if (ms >= d) { return Math.round(ms / d) + "d"; } if (ms >= h) { return Math.round(ms / h) + "h"; } if (ms >= m) { return Math.round(ms / m) + "m"; } if (ms >= s) { return Math.round(ms / s) + "s"; } return ms + "ms"; } function fmtLong(ms) { return plural(ms, d, "day") || plural(ms, h, "hour") || plural(ms, m, "minute") || plural(ms, s, "second") || ms + " ms"; } function plural(ms, n, name) { if (ms < n) { return; } if (ms < n * 1.5) { return Math.floor(ms / n) + " " + name; } return Math.ceil(ms / n) + " " + name + "s"; } } }); var require_debug4 = __commonJS({ "node_modules/send/node_modules/debug/src/debug.js"(exports2, module2) { exports2 = module2.exports = createDebug.debug = createDebug["default"] = createDebug; exports2.coerce = coerce; exports2.disable = disable; exports2.enable = enable; exports2.enabled = enabled; exports2.humanize = require_ms4(); exports2.instances = []; exports2.names = []; exports2.skips = []; exports2.formatters = {}; function selectColor(namespace) { var hash = 0, i; for (i in namespace) { hash = (hash << 5) - hash + namespace.charCodeAt(i); hash |= 0; } return exports2.colors[Math.abs(hash) % exports2.colors.length]; } function createDebug(namespace) { var prevTime; function debug() { if (!debug.enabled) return; var self2 = debug; var curr = +new Date(); var ms = curr - (prevTime || curr); self2.diff = ms; self2.prev = prevTime; self2.curr = curr; prevTime = curr; var args2 = new Array(arguments.length); for (var i = 0; i < args2.length; i++) { args2[i] = arguments[i]; } args2[0] = exports2.coerce(args2[0]); if (typeof args2[0] !== "string") { args2.unshift("%O"); } var index = 0; args2[0] = args2[0].replace(/%([a-zA-Z%])/g, function(match, format) { if (match === "%%") return match; index++; var formatter = exports2.formatters[format]; if (typeof formatter === "function") { var val = args2[index]; match = formatter.call(self2, val); args2.splice(index, 1); index--; } return match; }); exports2.formatArgs.call(self2, args2); var logFn = debug.log || exports2.log || console.log.bind(console); logFn.apply(self2, args2); } debug.namespace = namespace; debug.enabled = exports2.enabled(namespace); debug.useColors = exports2.useColors(); debug.color = selectColor(namespace); debug.destroy = destroy; if (typeof exports2.init === "function") { exports2.init(debug); } exports2.instances.push(debug); return debug; } function destroy() { var index = exports2.instances.indexOf(this); if (index !== -1) { exports2.instances.splice(index, 1); return true; } else { return false; } } function enable(namespaces) { exports2.save(namespaces); exports2.names = []; exports2.skips = []; var i; var split = (typeof namespaces === "string" ? namespaces : "").split(/[\s,]+/); var len = split.length; for (i = 0; i < len; i++) { if (!split[i]) continue; namespaces = split[i].replace(/\*/g, ".*?"); if (namespaces[0] === "-") { exports2.skips.push(new RegExp("^" + namespaces.substr(1) + "$")); } else { exports2.names.push(new RegExp("^" + namespaces + "$")); } } for (i = 0; i < exports2.instances.length; i++) { var instance = exports2.instances[i]; instance.enabled = exports2.enabled(instance.namespace); } } function disable() { exports2.enable(""); } function enabled(name) { if (name[name.length - 1] === "*") { return true; } var i, len; for (i = 0, len = exports2.skips.length; i < len; i++) { if (exports2.skips[i].test(name)) { return false; } } for (i = 0, len = exports2.names.length; i < len; i++) { if (exports2.names[i].test(name)) { return true; } } return false; } function coerce(val) { if (val instanceof Error) return val.stack || val.message; return val; } } }); var require_browser4 = __commonJS({ "node_modules/send/node_modules/debug/src/browser.js"(exports2, module2) { exports2 = module2.exports = require_debug4(); exports2.log = log2; exports2.formatArgs = formatArgs; exports2.save = save; exports2.load = load; exports2.useColors = useColors; exports2.storage = typeof chrome != "undefined" && typeof chrome.storage != "undefined" ? chrome.storage.local : localstorage(); exports2.colors = [ "#0000CC", "#0000FF", "#0033CC", "#0033FF", "#0066CC", "#0066FF", "#0099CC", "#0099FF", "#00CC00", "#00CC33", "#00CC66", "#00CC99", "#00CCCC", "#00CCFF", "#3300CC", "#3300FF", "#3333CC", "#3333FF", "#3366CC", "#3366FF", "#3399CC", "#3399FF", "#33CC00", "#33CC33", "#33CC66", "#33CC99", "#33CCCC", "#33CCFF", "#6600CC", "#6600FF", "#6633CC", "#6633FF", "#66CC00", "#66CC33", "#9900CC", "#9900FF", "#9933CC", "#9933FF", "#99CC00", "#99CC33", "#CC0000", "#CC0033", "#CC0066", "#CC0099", "#CC00CC", "#CC00FF", "#CC3300", "#CC3333", "#CC3366", "#CC3399", "#CC33CC", "#CC33FF", "#CC6600", "#CC6633", "#CC9900", "#CC9933", "#CCCC00", "#CCCC33", "#FF0000", "#FF0033", "#FF0066", "#FF0099", "#FF00CC", "#FF00FF", "#FF3300", "#FF3333", "#FF3366", "#FF3399", "#FF33CC", "#FF33FF", "#FF6600", "#FF6633", "#FF9900", "#FF9933", "#FFCC00", "#FFCC33" ]; function useColors() { if (typeof window !== "undefined" && window.process && window.process.type === "renderer") { return true; } if (typeof navigator !== "undefined" && navigator.userAgent && navigator.userAgent.toLowerCase().match(/(edge|trident)\/(\d+)/)) { return false; } return typeof document !== "undefined" && document.documentElement && document.documentElement.style && document.documentElement.style.WebkitAppearance || typeof window !== "undefined" && window.console && (window.console.firebug || window.console.exception && window.console.table) || typeof navigator !== "undefined" && navigator.userAgent && navigator.userAgent.toLowerCase().match(/firefox\/(\d+)/) && parseInt(RegExp.$1, 10) >= 31 || typeof navigator !== "undefined" && navigator.userAgent && navigator.userAgent.toLowerCase().match(/applewebkit\/(\d+)/); } exports2.formatters.j = function(v) { try { return JSON.stringify(v); } catch (err) { return "[UnexpectedJSONParseError]: " + err.message; } }; function formatArgs(args2) { var useColors2 = this.useColors; args2[0] = (useColors2 ? "%c" : "") + this.namespace + (useColors2 ? " %c" : " ") + args2[0] + (useColors2 ? "%c " : " ") + "+" + exports2.humanize(this.diff); if (!useColors2) return; var c = "color: " + this.color; args2.splice(1, 0, c, "color: inherit"); var index = 0; var lastC = 0; args2[0].replace(/%[a-zA-Z%]/g, function(match) { if (match === "%%") return; index++; if (match === "%c") { lastC = index; } }); args2.splice(lastC, 0, c); } function log2() { return typeof console === "object" && console.log && Function.prototype.apply.call(console.log, console, arguments); } function save(namespaces) { try { if (namespaces == null) { exports2.storage.removeItem("debug"); } else { exports2.storage.debug = namespaces; } } catch (e) { } } function load() { var r; try { r = exports2.storage.debug; } catch (e) { } if (!r && typeof process !== "undefined" && "env" in process) { r = process.env.DEBUG; } return r; } exports2.enable(load()); function localstorage() { try { return window.localStorage; } catch (e) { } } } }); var require_node4 = __commonJS({ "node_modules/send/node_modules/debug/src/node.js"(exports2, module2) { var tty = require("tty"); var util = require("util"); exports2 = module2.exports = require_debug4(); exports2.init = init; exports2.log = log2; exports2.formatArgs = formatArgs; exports2.save = save; exports2.load = load; exports2.useColors = useColors; exports2.colors = [6, 2, 3, 4, 5, 1]; try { supportsColor = require_supports_color(); if (supportsColor && supportsColor.level >= 2) { exports2.colors = [ 20, 21, 26, 27, 32, 33, 38, 39, 40, 41, 42, 43, 44, 45, 56, 57, 62, 63, 68, 69, 74, 75, 76, 77, 78, 79, 80, 81, 92, 93, 98, 99, 112, 113, 128, 129, 134, 135, 148, 149, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 178, 179, 184, 185, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 214, 215, 220, 221 ]; } } catch (err) { } var supportsColor; exports2.inspectOpts = Object.keys(process.env).filter(function(key) { return /^debug_/i.test(key); }).reduce(function(obj, key) { var prop = key.substring(6).toLowerCase().replace(/_([a-z])/g, function(_, k) { return k.toUpperCase(); }); var val = process.env[key]; if (/^(yes|on|true|enabled)$/i.test(val)) val = true; else if (/^(no|off|false|disabled)$/i.test(val)) val = false; else if (val === "null") val = null; else val = Number(val); obj[prop] = val; return obj; }, {}); function useColors() { return "colors" in exports2.inspectOpts ? Boolean(exports2.inspectOpts.colors) : tty.isatty(process.stderr.fd); } exports2.formatters.o = function(v) { this.inspectOpts.colors = this.useColors; return util.inspect(v, this.inspectOpts).split("\n").map(function(str) { return str.trim(); }).join(" "); }; exports2.formatters.O = function(v) { this.inspectOpts.colors = this.useColors; return util.inspect(v, this.inspectOpts); }; function formatArgs(args2) { var name = this.namespace; var useColors2 = this.useColors; if (useColors2) { var c = this.color; var colorCode = "\x1B[3" + (c < 8 ? c : "8;5;" + c); var prefix = " " + colorCode + ";1m" + name + " \x1B[0m"; args2[0] = prefix + args2[0].split("\n").join("\n" + prefix); args2.push(colorCode + "m+" + exports2.humanize(this.diff) + "\x1B[0m"); } else { args2[0] = getDate() + name + " " + args2[0]; } } function getDate() { if (exports2.inspectOpts.hideDate) { return ""; } else { return new Date().toISOString() + " "; } } function log2() { return process.stderr.write(util.format.apply(util, arguments) + "\n"); } function save(namespaces) { if (namespaces == null) { delete process.env.DEBUG; } else { process.env.DEBUG = namespaces; } } function load() { return process.env.DEBUG; } function init(debug) { debug.inspectOpts = {}; var keys = Object.keys(exports2.inspectOpts); for (var i = 0; i < keys.length; i++) { debug.inspectOpts[keys[i]] = exports2.inspectOpts[keys[i]]; } } exports2.enable(load()); } }); var require_src4 = __commonJS({ "node_modules/send/node_modules/debug/src/index.js"(exports2, module2) { if (typeof process === "undefined" || process.type === "renderer") { module2.exports = require_browser4(); } else { module2.exports = require_node4(); } } }); var require_ms5 = __commonJS({ "node_modules/send/node_modules/ms/index.js"(exports2, module2) { var s = 1e3; var m = s * 60; var h = m * 60; var d = h * 24; var w = d * 7; var y = d * 365.25; module2.exports = function(val, options) { options = options || {}; var type = typeof val; if (type === "string" && val.length > 0) { return parse(val); } else if (type === "number" && isFinite(val)) { return options.long ? fmtLong(val) : fmtShort(val); } throw new Error("val is not a non-empty string or a valid number. val=" + JSON.stringify(val)); }; function parse(str) { str = String(str); if (str.length > 100) { return; } var match = /^(-?(?:\d+)?\.?\d+) *(milliseconds?|msecs?|ms|seconds?|secs?|s|minutes?|mins?|m|hours?|hrs?|h|days?|d|weeks?|w|years?|yrs?|y)?$/i.exec(str); if (!match) { return; } var n = parseFloat(match[1]); var type = (match[2] || "ms").toLowerCase(); switch (type) { case "years": case "year": case "yrs": case "yr": case "y": return n * y; case "weeks": case "week": case "w": return n * w; case "days": case "day": case "d": return n * d; case "hours": case "hour": case "hrs": case "hr": case "h": return n * h; case "minutes": case "minute": case "mins": case "min": case "m": return n * m; case "seconds": case "second": case "secs": case "sec": case "s": return n * s; case "milliseconds": case "millisecond": case "msecs": case "msec": case "ms": return n; default: return void 0; } } function fmtShort(ms) { var msAbs = Math.abs(ms); if (msAbs >= d) { return Math.round(ms / d) + "d"; } if (msAbs >= h) { return Math.round(ms / h) + "h"; } if (msAbs >= m) { return Math.round(ms / m) + "m"; } if (msAbs >= s) { return Math.round(ms / s) + "s"; } return ms + "ms"; } function fmtLong(ms) { var msAbs = Math.abs(ms); if (msAbs >= d) { return plural(ms, msAbs, d, "day"); } if (msAbs >= h) { return plural(ms, msAbs, h, "hour"); } if (msAbs >= m) { return plural(ms, msAbs, m, "minute"); } if (msAbs >= s) { return plural(ms, msAbs, s, "second"); } return ms + " ms"; } function plural(ms, msAbs, n, name) { var isPlural = msAbs >= n * 1.5; return Math.round(ms / n) + " " + name + (isPlural ? "s" : ""); } } }); var require_send = __commonJS({ "node_modules/send/index.js"(exports2, module2) { "use strict"; var createError = require_http_errors(); var debug = require_src4()("send"); var destroy = require_destroy(); var encodeUrl = require_encodeurl(); var escapeHtml = require_escape_html(); var etag = require_etag(); var fresh = require_fresh(); var fs = require("fs"); var mime2 = require_mime_types(); var ms = require_ms5(); var onFinished = require_on_finished(); var parseRange = require_range_parser(); var path2 = require("path"); var statuses = require_statuses(); var Stream = require("stream"); var util = require("util"); var extname = path2.extname; var join = path2.join; var normalize = path2.normalize; var resolve = path2.resolve; var sep = path2.sep; var BYTES_RANGE_REGEXP = /^ *bytes=/; var MAX_MAXAGE = 60 * 60 * 24 * 365 * 1e3; var UP_PATH_REGEXP = /(?:^|[\\/])\.\.(?:[\\/]|$)/; module2.exports = send; function send(req, path3, options) { return new SendStream(req, path3, options); } function SendStream(req, path3, options) { Stream.call(this); var opts = options || {}; this.options = opts; this.path = path3; this.req = req; this._acceptRanges = opts.acceptRanges !== void 0 ? Boolean(opts.acceptRanges) : true; this._cacheControl = opts.cacheControl !== void 0 ? Boolean(opts.cacheControl) : true; this._etag = opts.etag !== void 0 ? Boolean(opts.etag) : true; this._dotfiles = opts.dotfiles !== void 0 ? opts.dotfiles : "ignore"; if (this._dotfiles !== "ignore" && this._dotfiles !== "allow" && this._dotfiles !== "deny") { throw new TypeError('dotfiles option must be "allow", "deny", or "ignore"'); } this._extensions = opts.extensions !== void 0 ? normalizeList(opts.extensions, "extensions option") : []; this._immutable = opts.immutable !== void 0 ? Boolean(opts.immutable) : false; this._index = opts.index !== void 0 ? normalizeList(opts.index, "index option") : ["index.html"]; this._lastModified = opts.lastModified !== void 0 ? Boolean(opts.lastModified) : true; this._maxage = opts.maxAge || opts.maxage; this._maxage = typeof this._maxage === "string" ? ms(this._maxage) : Number(this._maxage); this._maxage = !isNaN(this._maxage) ? Math.min(Math.max(0, this._maxage), MAX_MAXAGE) : 0; this._root = opts.root ? resolve(opts.root) : null; } util.inherits(SendStream, Stream); SendStream.prototype.error = function error(status, err) { if (hasListeners(this, "error")) { return this.emit("error", createHttpError(status, err)); } var res = this.res; var msg = statuses.message[status] || String(status); var doc = createHtmlDocument("Error", escapeHtml(msg)); clearHeaders(res); if (err && err.headers) { setHeaders(res, err.headers); } res.statusCode = status; res.setHeader("Content-Type", "text/html; charset=UTF-8"); res.setHeader("Content-Length", Buffer.byteLength(doc)); res.setHeader("Content-Security-Policy", "default-src 'none'"); res.setHeader("X-Content-Type-Options", "nosniff"); res.end(doc); }; SendStream.prototype.hasTrailingSlash = function hasTrailingSlash() { return this.path[this.path.length - 1] === "/"; }; SendStream.prototype.isConditionalGET = function isConditionalGET() { return this.req.headers["if-match"] || this.req.headers["if-unmodified-since"] || this.req.headers["if-none-match"] || this.req.headers["if-modified-since"]; }; SendStream.prototype.isPreconditionFailure = function isPreconditionFailure() { var req = this.req; var res = this.res; var match = req.headers["if-match"]; if (match) { var etag2 = res.getHeader("ETag"); return !etag2 || match !== "*" && parseTokenList(match).every(function(match2) { return match2 !== etag2 && match2 !== "W/" + etag2 && "W/" + match2 !== etag2; }); } var unmodifiedSince = parseHttpDate(req.headers["if-unmodified-since"]); if (!isNaN(unmodifiedSince)) { var lastModified = parseHttpDate(res.getHeader("Last-Modified")); return isNaN(lastModified) || lastModified > unmodifiedSince; } return false; }; SendStream.prototype.removeContentHeaderFields = function removeContentHeaderFields() { var res = this.res; res.removeHeader("Content-Encoding"); res.removeHeader("Content-Language"); res.removeHeader("Content-Length"); res.removeHeader("Content-Range"); res.removeHeader("Content-Type"); }; SendStream.prototype.notModified = function notModified() { var res = this.res; debug("not modified"); this.removeContentHeaderFields(); res.statusCode = 304; res.end(); }; SendStream.prototype.headersAlreadySent = function headersAlreadySent() { var err = new Error("Can't set headers after they are sent."); debug("headers already sent"); this.error(500, err); }; SendStream.prototype.isCachable = function isCachable() { var statusCode = this.res.statusCode; return statusCode >= 200 && statusCode < 300 || statusCode === 304; }; SendStream.prototype.onStatError = function onStatError(error) { switch (error.code) { case "ENAMETOOLONG": case "ENOENT": case "ENOTDIR": this.error(404, error); break; default: this.error(500, error); break; } }; SendStream.prototype.isFresh = function isFresh() { return fresh(this.req.headers, { etag: this.res.getHeader("ETag"), "last-modified": this.res.getHeader("Last-Modified") }); }; SendStream.prototype.isRangeFresh = function isRangeFresh() { var ifRange = this.req.headers["if-range"]; if (!ifRange) { return true; } if (ifRange.indexOf('"') !== -1) { var etag2 = this.res.getHeader("ETag"); return Boolean(etag2 && ifRange.indexOf(etag2) !== -1); } var lastModified = this.res.getHeader("Last-Modified"); return parseHttpDate(lastModified) <= parseHttpDate(ifRange); }; SendStream.prototype.redirect = function redirect(path3) { var res = this.res; if (hasListeners(this, "directory")) { this.emit("directory", res, path3); return; } if (this.hasTrailingSlash()) { this.error(403); return; } var loc = encodeUrl(collapseLeadingSlashes(this.path + "/")); var doc = createHtmlDocument("Redirecting", 'Redirecting to ' + escapeHtml(loc) + ""); res.statusCode = 301; res.setHeader("Content-Type", "text/html; charset=UTF-8"); res.setHeader("Content-Length", Buffer.byteLength(doc)); res.setHeader("Content-Security-Policy", "default-src 'none'"); res.setHeader("X-Content-Type-Options", "nosniff"); res.setHeader("Location", loc); res.end(doc); }; SendStream.prototype.pipe = function pipe(res) { var root = this._root; this.res = res; var path3 = decode(this.path); if (path3 === -1) { this.error(400); return res; } if (~path3.indexOf("\0")) { this.error(400); return res; } var parts; if (root !== null) { if (path3) { path3 = normalize("." + sep + path3); } if (UP_PATH_REGEXP.test(path3)) { debug('malicious path "%s"', path3); this.error(403); return res; } parts = path3.split(sep); path3 = normalize(join(root, path3)); } else { if (UP_PATH_REGEXP.test(path3)) { debug('malicious path "%s"', path3); this.error(403); return res; } parts = normalize(path3).split(sep); path3 = resolve(path3); } if (containsDotFile(parts)) { debug('%s dotfile "%s"', this._dotfiles, path3); switch (this._dotfiles) { case "allow": break; case "deny": this.error(403); return res; case "ignore": default: this.error(404); return res; } } if (this._index.length && this.hasTrailingSlash()) { this.sendIndex(path3); return res; } this.sendFile(path3); return res; }; SendStream.prototype.send = function send2(path3, stat) { var len = stat.size; var options = this.options; var opts = {}; var res = this.res; var req = this.req; var ranges = req.headers.range; var offset = options.start || 0; if (res.headersSent) { this.headersAlreadySent(); return; } debug('pipe "%s"', path3); this.setHeader(path3, stat); this.type(path3); if (this.isConditionalGET()) { if (this.isPreconditionFailure()) { this.error(412); return; } if (this.isCachable() && this.isFresh()) { this.notModified(); return; } } len = Math.max(0, len - offset); if (options.end !== void 0) { var bytes = options.end - offset + 1; if (len > bytes) len = bytes; } if (this._acceptRanges && BYTES_RANGE_REGEXP.test(ranges)) { ranges = parseRange(len, ranges, { combine: true }); if (!this.isRangeFresh()) { debug("range stale"); ranges = -2; } if (ranges === -1) { debug("range unsatisfiable"); res.setHeader("Content-Range", contentRange("bytes", len)); return this.error(416, { headers: { "Content-Range": res.getHeader("Content-Range") } }); } if (ranges !== -2 && ranges.length === 1) { debug("range %j", ranges); res.statusCode = 206; res.setHeader("Content-Range", contentRange("bytes", len, ranges[0])); offset += ranges[0].start; len = ranges[0].end - ranges[0].start + 1; } } for (var prop in options) { opts[prop] = options[prop]; } opts.start = offset; opts.end = Math.max(offset, offset + len - 1); res.setHeader("Content-Length", len); if (req.method === "HEAD") { res.end(); return; } this.stream(path3, opts); }; SendStream.prototype.sendFile = function sendFile(path3) { var i = 0; var self2 = this; debug('stat "%s"', path3); fs.stat(path3, function onstat(err, stat) { if (err && err.code === "ENOENT" && !extname(path3) && path3[path3.length - 1] !== sep) { return next(err); } if (err) return self2.onStatError(err); if (stat.isDirectory()) return self2.redirect(path3); self2.emit("file", path3, stat); self2.send(path3, stat); }); function next(err) { if (self2._extensions.length <= i) { return err ? self2.onStatError(err) : self2.error(404); } var p = path3 + "." + self2._extensions[i++]; debug('stat "%s"', p); fs.stat(p, function(err2, stat) { if (err2) return next(err2); if (stat.isDirectory()) return next(); self2.emit("file", p, stat); self2.send(p, stat); }); } }; SendStream.prototype.sendIndex = function sendIndex(path3) { var i = -1; var self2 = this; function next(err) { if (++i >= self2._index.length) { if (err) return self2.onStatError(err); return self2.error(404); } var p = join(path3, self2._index[i]); debug('stat "%s"', p); fs.stat(p, function(err2, stat) { if (err2) return next(err2); if (stat.isDirectory()) return next(); self2.emit("file", p, stat); self2.send(p, stat); }); } next(); }; SendStream.prototype.stream = function stream(path3, options) { var self2 = this; var res = this.res; var stream2 = fs.createReadStream(path3, options); this.emit("stream", stream2); stream2.pipe(res); function cleanup() { destroy(stream2, true); } onFinished(res, cleanup); stream2.on("error", function onerror(err) { cleanup(); self2.onStatError(err); }); stream2.on("end", function onend() { self2.emit("end"); }); }; SendStream.prototype.type = function type(path3) { var res = this.res; if (res.getHeader("Content-Type")) return; var ext = extname(path3); var type2 = mime2.contentType(ext) || "application/octet-stream"; debug("content-type %s", type2); res.setHeader("Content-Type", type2); }; SendStream.prototype.setHeader = function setHeader(path3, stat) { var res = this.res; this.emit("headers", res, path3, stat); if (this._acceptRanges && !res.getHeader("Accept-Ranges")) { debug("accept ranges"); res.setHeader("Accept-Ranges", "bytes"); } if (this._cacheControl && !res.getHeader("Cache-Control")) { var cacheControl = "public, max-age=" + Math.floor(this._maxage / 1e3); if (this._immutable) { cacheControl += ", immutable"; } debug("cache-control %s", cacheControl); res.setHeader("Cache-Control", cacheControl); } if (this._lastModified && !res.getHeader("Last-Modified")) { var modified = stat.mtime.toUTCString(); debug("modified %s", modified); res.setHeader("Last-Modified", modified); } if (this._etag && !res.getHeader("ETag")) { var val = etag(stat); debug("etag %s", val); res.setHeader("ETag", val); } }; function clearHeaders(res) { var headers = getHeaderNames(res); for (var i = 0; i < headers.length; i++) { res.removeHeader(headers[i]); } } function collapseLeadingSlashes(str) { for (var i = 0; i < str.length; i++) { if (str[i] !== "/") { break; } } return i > 1 ? "/" + str.substr(i) : str; } function containsDotFile(parts) { for (var i = 0; i < parts.length; i++) { var part = parts[i]; if (part.length > 1 && part[0] === ".") { return true; } } return false; } function contentRange(type, size, range) { return type + " " + (range ? range.start + "-" + range.end : "*") + "/" + size; } function createHtmlDocument(title, body) { return '\n\n\n\n' + title + "\n\n\n
" + body + "
\n\n\n"; } function createHttpError(status, err) { if (!err) { return createError(status); } return err instanceof Error ? createError(status, err, { expose: false }) : createError(status, err); } function decode(path3) { try { return decodeURIComponent(path3); } catch (err) { return -1; } } function getHeaderNames(res) { return typeof res.getHeaderNames !== "function" ? Object.keys(res._headers || {}) : res.getHeaderNames(); } function hasListeners(emitter, type) { var count = typeof emitter.listenerCount !== "function" ? emitter.listeners(type).length : emitter.listenerCount(type); return count > 0; } function normalizeList(val, name) { var list = [].concat(val || []); for (var i = 0; i < list.length; i++) { if (typeof list[i] !== "string") { throw new TypeError(name + " must be array of strings or false"); } } return list; } function parseHttpDate(date) { var timestamp = date && Date.parse(date); return typeof timestamp === "number" ? timestamp : NaN; } function parseTokenList(str) { var end = 0; var list = []; var start = 0; for (var i = 0, len = str.length; i < len; i++) { switch (str.charCodeAt(i)) { case 32: if (start === end) { start = end = i + 1; } break; case 44: if (start !== end) { list.push(str.substring(start, end)); } start = end = i + 1; break; default: end = i + 1; break; } } if (start !== end) { list.push(str.substring(start, end)); } return list; } function setHeaders(res, headers) { var keys = Object.keys(headers); for (var i = 0; i < keys.length; i++) { var key = keys[i]; res.setHeader(key, headers[key]); } } } }); var require_vary = __commonJS({ "node_modules/vary/index.js"(exports2, module2) { "use strict"; module2.exports = vary; module2.exports.append = append; var FIELD_NAME_REGEXP = /^[!#$%&'*+\-.^_`|~0-9A-Za-z]+$/; function append(header, field) { if (typeof header !== "string") { throw new TypeError("header argument is required"); } if (!field) { throw new TypeError("field argument is required"); } var fields = !Array.isArray(field) ? parse(String(field)) : field; for (var j = 0; j < fields.length; j++) { if (!FIELD_NAME_REGEXP.test(fields[j])) { throw new TypeError("field argument contains an invalid header name"); } } if (header === "*") { return header; } var val = header; var vals = parse(header.toLowerCase()); if (fields.indexOf("*") !== -1 || vals.indexOf("*") !== -1) { return "*"; } for (var i = 0; i < fields.length; i++) { var fld = fields[i].toLowerCase(); if (vals.indexOf(fld) === -1) { vals.push(fld); val = val ? val + ", " + fields[i] : fields[i]; } } return val; } function parse(header) { var end = 0; var list = []; var start = 0; for (var i = 0, len = header.length; i < len; i++) { switch (header.charCodeAt(i)) { case 32: if (start === end) { start = end = i + 1; } break; case 44: list.push(header.substring(start, end)); start = end = i + 1; break; default: end = i + 1; break; } } list.push(header.substring(start, end)); return list; } function vary(res, field) { if (!res || !res.getHeader || !res.setHeader) { throw new TypeError("res argument is required"); } var val = res.getHeader("Vary") || ""; var header = Array.isArray(val) ? val.join(", ") : String(val); if (val = append(header, field)) { res.setHeader("Vary", val); } } } }); var require_response = __commonJS({ "node_modules/express/lib/response.js"(exports2, module2) { "use strict"; var Buffer2 = require_safe_buffer().Buffer; var contentDisposition = require_content_disposition(); var createError = require_http_errors(); var deprecate2 = require_depd()("express"); var encodeUrl = require_encodeurl(); var escapeHtml = require_escape_html(); var http3 = require("http"); var onFinished = require_on_finished(); var mime2 = require_mime_types(); var path2 = require("path"); var pathIsAbsolute = require_path_is_absolute(); var statuses = require_statuses(); var merge = require_utils_merge(); var sign = require_cookie_signature().sign; var normalizeType = require_utils2().normalizeType; var normalizeTypes = require_utils2().normalizeTypes; var setCharset = require_utils2().setCharset; var cookie = require_cookie(); var send = require_send(); var extname = path2.extname; var resolve = path2.resolve; var vary = require_vary(); var res = Object.create(http3.ServerResponse.prototype); module2.exports = res; var schemaAndHostRegExp = /^(?:[a-zA-Z][a-zA-Z0-9+.-]*:)?\/\/[^\\\/\?]+/; res.status = function status(code) { if ((typeof code === "string" || Math.floor(code) !== code) && code > 99 && code < 1e3) { deprecate2("res.status(" + JSON.stringify(code) + "): use res.status(" + Math.floor(code) + ") instead"); } this.statusCode = code; return this; }; res.links = function(links) { var link = this.get("Link") || ""; if (link) link += ", "; return this.set("Link", link + Object.keys(links).map(function(rel) { return "<" + links[rel] + '>; rel="' + rel + '"'; }).join(", ")); }; res.send = function send2(body) { var chunk = body; var encoding; var req = this.req; var type; var app = this.app; switch (typeof chunk) { case "string": if (!this.get("Content-Type")) { this.type("html"); } break; case "boolean": case "number": case "object": if (chunk === null) { chunk = ""; } else if (Buffer2.isBuffer(chunk)) { if (!this.get("Content-Type")) { this.type("bin"); } } else { return this.json(chunk); } break; } if (typeof chunk === "string") { encoding = "utf8"; type = this.get("Content-Type"); if (typeof type === "string") { this.set("Content-Type", setCharset(type, "utf-8")); } } var etagFn = app.get("etag fn"); var generateETag = !this.get("ETag") && typeof etagFn === "function"; var len; if (chunk !== void 0) { if (Buffer2.isBuffer(chunk)) { len = chunk.length; } else if (!generateETag && chunk.length < 1e3) { len = Buffer2.byteLength(chunk, encoding); } else { chunk = Buffer2.from(chunk, encoding); encoding = void 0; len = chunk.length; } this.set("Content-Length", len); } var etag; if (generateETag && len !== void 0) { if (etag = etagFn(chunk, encoding)) { this.set("ETag", etag); } } if (req.fresh) this.statusCode = 304; if (this.statusCode === 204 || this.statusCode === 304) { this.removeHeader("Content-Type"); this.removeHeader("Content-Length"); this.removeHeader("Transfer-Encoding"); chunk = ""; } if (this.statusCode === 205) { this.set("Content-Length", "0"); this.removeHeader("Transfer-Encoding"); chunk = ""; } if (req.method === "HEAD") { this.end(); } else { this.end(chunk, encoding); } return this; }; res.json = function json(obj) { var app = this.app; var escape2 = app.get("json escape"); var replacer = app.get("json replacer"); var spaces = app.get("json spaces"); var body = stringify(obj, replacer, spaces, escape2); if (!this.get("Content-Type")) { this.set("Content-Type", "application/json"); } return this.send(body); }; res.jsonp = function jsonp(obj) { var app = this.app; var escape2 = app.get("json escape"); var replacer = app.get("json replacer"); var spaces = app.get("json spaces"); var body = stringify(obj, replacer, spaces, escape2); var callback = this.req.query[app.get("jsonp callback name")]; if (!this.get("Content-Type")) { this.set("X-Content-Type-Options", "nosniff"); this.set("Content-Type", "application/json"); } if (Array.isArray(callback)) { callback = callback[0]; } if (typeof callback === "string" && callback.length !== 0) { this.set("X-Content-Type-Options", "nosniff"); this.set("Content-Type", "text/javascript"); callback = callback.replace(/[^\[\]\w$.]/g, ""); if (body === void 0) { body = ""; } else if (typeof body === "string") { body = body.replace(/\u2028/g, "\\u2028").replace(/\u2029/g, "\\u2029"); } body = "/**/ typeof " + callback + " === 'function' && " + callback + "(" + body + ");"; } return this.send(body); }; res.sendStatus = function sendStatus(statusCode) { var body = statuses.message[statusCode] || String(statusCode); this.statusCode = statusCode; this.type("txt"); return this.send(body); }; res.sendFile = function sendFile(path3, options, callback) { var done = callback; var req = this.req; var res2 = this; var next = req.next; var opts = options || {}; if (!path3) { throw new TypeError("path argument is required to res.sendFile"); } if (typeof path3 !== "string") { throw new TypeError("path must be a string to res.sendFile"); } if (typeof options === "function") { done = options; opts = {}; } if (!opts.root && !pathIsAbsolute(path3)) { throw new TypeError("path must be absolute or specify root to res.sendFile"); } var pathname = encodeURI(path3); var file = send(req, pathname, opts); sendfile(res2, file, opts, function(err) { if (done) return done(err); if (err && err.code === "EISDIR") return next(); if (err && err.code !== "ECONNABORTED" && err.syscall !== "write") { next(err); } }); }; res.download = function download(path3, filename, options, callback) { var done = callback; var name = filename; var opts = options || null; if (typeof filename === "function") { done = filename; name = null; opts = null; } else if (typeof options === "function") { done = options; opts = null; } if (typeof filename === "object" && (typeof options === "function" || options === void 0)) { name = null; opts = filename; } var headers = { "Content-Disposition": contentDisposition(name || path3) }; if (opts && opts.headers) { var keys = Object.keys(opts.headers); for (var i = 0; i < keys.length; i++) { var key = keys[i]; if (key.toLowerCase() !== "content-disposition") { headers[key] = opts.headers[key]; } } } opts = Object.create(opts); opts.headers = headers; var fullPath = !opts.root ? resolve(path3) : path3; return this.sendFile(fullPath, opts, done); }; res.contentType = res.type = function contentType(type) { var ct = type.indexOf("/") === -1 ? mime2.contentType(type) || "application/octet-stream" : type; return this.set("Content-Type", ct); }; res.format = function(obj) { var req = this.req; var next = req.next; var keys = Object.keys(obj).filter(function(v) { return v !== "default"; }); var key = keys.length > 0 ? req.accepts(keys) : false; this.vary("Accept"); if (key) { this.set("Content-Type", normalizeType(key).value); obj[key](req, this, next); } else if (obj.default) { obj.default(req, this, next); } else { next(createError(406, { types: normalizeTypes(keys).map(function(o) { return o.value; }) })); } return this; }; res.attachment = function attachment(filename) { if (filename) { this.type(extname(filename)); } this.set("Content-Disposition", contentDisposition(filename)); return this; }; res.append = function append(field, val) { var prev = this.get(field); var value = val; if (prev) { value = Array.isArray(prev) ? prev.concat(val) : Array.isArray(val) ? [prev].concat(val) : [prev, val]; } return this.set(field, value); }; res.set = res.header = function header(field, val) { if (arguments.length === 2) { var value = Array.isArray(val) ? val.map(String) : String(val); if (field.toLowerCase() === "content-type") { if (Array.isArray(value)) { throw new TypeError("Content-Type cannot be set to an Array"); } value = mime2.contentType(value); } this.setHeader(field, value); } else { for (var key in field) { this.set(key, field[key]); } } return this; }; res.get = function(field) { return this.getHeader(field); }; res.clearCookie = function clearCookie(name, options) { var opts = merge({ expires: new Date(1), path: "/" }, options); return this.cookie(name, "", opts); }; res.cookie = function(name, value, options) { var opts = merge({}, options); var secret = this.req.secret; var signed = opts.signed; if (signed && !secret) { throw new Error('cookieParser("secret") required for signed cookies'); } var val = typeof value === "object" ? "j:" + JSON.stringify(value) : String(value); if (signed) { val = "s:" + sign(val, secret); } if (opts.maxAge != null) { var maxAge = opts.maxAge - 0; if (!isNaN(maxAge)) { opts.expires = new Date(Date.now() + maxAge); opts.maxAge = Math.floor(maxAge / 1e3); } } if (opts.path == null) { opts.path = "/"; } this.append("Set-Cookie", cookie.serialize(name, String(val), opts)); return this; }; res.location = function location2(url) { var loc; if (url === "back") { loc = this.req.get("Referrer") || "/"; } else { loc = String(url); } var m = schemaAndHostRegExp.exec(loc); var pos = m ? m[0].length + 1 : 0; loc = loc.slice(0, pos) + encodeUrl(loc.slice(pos)); return this.set("Location", loc); }; res.redirect = function redirect(url) { var address = url; var body; var status = 302; if (arguments.length === 2) { status = arguments[0]; address = arguments[1]; } address = this.location(address).get("Location"); this.format({ text: function() { body = statuses.message[status] + ". Redirecting to " + address; }, html: function() { var u = escapeHtml(address); body = "

" + statuses.message[status] + '. Redirecting to ' + u + "

"; }, default: function() { body = ""; } }); this.statusCode = status; this.set("Content-Length", Buffer2.byteLength(body)); if (this.req.method === "HEAD") { this.end(); } else { this.end(body); } }; res.vary = function(field) { vary(this, field); return this; }; res.render = function render(view, options, callback) { var app = this.req.app; var done = callback; var opts = options || {}; var req = this.req; var self2 = this; if (typeof options === "function") { done = options; opts = {}; } opts._locals = self2.locals; done = done || function(err, str) { if (err) return req.next(err); self2.send(str); }; app.render(view, opts, done); }; function sendfile(res2, file, options, callback) { var done = false; var streaming; function onaborted() { if (done) return; done = true; var err = new Error("Request aborted"); err.code = "ECONNABORTED"; callback(err); } function ondirectory() { if (done) return; done = true; var err = new Error("EISDIR, read"); err.code = "EISDIR"; callback(err); } function onerror(err) { if (done) return; done = true; callback(err); } function onend() { if (done) return; done = true; callback(); } function onfile() { streaming = false; } function onfinish(err) { if (err && err.code === "ECONNRESET") return onaborted(); if (err) return onerror(err); if (done) return; setImmediate(function() { if (streaming !== false && !done) { onaborted(); return; } if (done) return; done = true; callback(); }); } function onstream() { streaming = true; } file.on("directory", ondirectory); file.on("end", onend); file.on("error", onerror); file.on("file", onfile); file.on("stream", onstream); onFinished(res2, onfinish); if (options.headers) { file.on("headers", function headers(res3) { var obj = options.headers; var keys = Object.keys(obj); for (var i = 0; i < keys.length; i++) { var k = keys[i]; res3.setHeader(k, obj[k]); } }); } file.pipe(res2); } function stringify(value, replacer, spaces, escape2) { var json = replacer || spaces ? JSON.stringify(value, replacer, spaces) : JSON.stringify(value); if (escape2 && typeof json === "string") { json = json.replace(/[<>&]/g, function(c) { switch (c.charCodeAt(0)) { case 60: return "\\u003c"; case 62: return "\\u003e"; case 38: return "\\u0026"; default: return c; } }); } return json; } } }); var require_serve_static = __commonJS({ "node_modules/serve-static/index.js"(exports2, module2) { "use strict"; var encodeUrl = require_encodeurl(); var escapeHtml = require_escape_html(); var parseUrl = require_parseurl(); var resolve = require("path").resolve; var send = require_send(); var url = require("url"); module2.exports = serveStatic; function serveStatic(root, options) { if (!root) { throw new TypeError("root path required"); } if (typeof root !== "string") { throw new TypeError("root path must be a string"); } var opts = Object.create(options || null); var fallthrough = opts.fallthrough !== false; var redirect = opts.redirect !== false; var setHeaders = opts.setHeaders; if (setHeaders && typeof setHeaders !== "function") { throw new TypeError("option setHeaders must be function"); } opts.maxage = opts.maxage || opts.maxAge || 0; opts.root = resolve(root); var onDirectory = redirect ? createRedirectDirectoryListener() : createNotFoundDirectoryListener(); return function serveStatic2(req, res, next) { if (req.method !== "GET" && req.method !== "HEAD") { if (fallthrough) { return next(); } res.statusCode = 405; res.setHeader("Allow", "GET, HEAD"); res.setHeader("Content-Length", "0"); res.end(); return; } var forwardError = !fallthrough; var originalUrl = parseUrl.original(req); var path2 = parseUrl(req).pathname; if (path2 === "/" && originalUrl.pathname.substr(-1) !== "/") { path2 = ""; } var stream = send(req, path2, opts); stream.on("directory", onDirectory); if (setHeaders) { stream.on("headers", setHeaders); } if (fallthrough) { stream.on("file", function onFile() { forwardError = true; }); } stream.on("error", function error(err) { if (forwardError || !(err.statusCode < 500)) { next(err); return; } next(); }); stream.pipe(res); }; } function collapseLeadingSlashes(str) { for (var i = 0; i < str.length; i++) { if (str.charCodeAt(i) !== 47) { break; } } return i > 1 ? "/" + str.substr(i) : str; } function createHtmlDocument(title, body) { return '\n\n\n\n' + title + "\n\n\n
" + body + "
\n\n\n"; } function createNotFoundDirectoryListener() { return function notFound() { this.error(404); }; } function createRedirectDirectoryListener() { return function redirect(res) { if (this.hasTrailingSlash()) { this.error(404); return; } var originalUrl = parseUrl.original(this.req); originalUrl.path = null; originalUrl.pathname = collapseLeadingSlashes(originalUrl.pathname + "/"); var loc = encodeUrl(url.format(originalUrl)); var doc = createHtmlDocument("Redirecting", 'Redirecting to ' + escapeHtml(loc) + ""); res.statusCode = 301; res.setHeader("Content-Type", "text/html; charset=UTF-8"); res.setHeader("Content-Length", Buffer.byteLength(doc)); res.setHeader("Content-Security-Policy", "default-src 'none'"); res.setHeader("X-Content-Type-Options", "nosniff"); res.setHeader("Location", loc); res.end(doc); }; } } }); var require_express = __commonJS({ "node_modules/express/lib/express.js"(exports2, module2) { "use strict"; var bodyParser2 = require_body_parser(); var EventEmitter = require("events").EventEmitter; var mixin = require_merge_descriptors(); var proto = require_application(); var Router = require_router(); var req = require_request(); var res = require_response(); exports2 = module2.exports = createApplication; function createApplication() { var app = function(req2, res2, next) { app.handle(req2, res2, next); }; mixin(app, EventEmitter.prototype, false); mixin(app, proto, false); app.request = Object.create(req, { app: { configurable: true, enumerable: true, writable: true, value: app } }); app.response = Object.create(res, { app: { configurable: true, enumerable: true, writable: true, value: app } }); app.init(); return app; } exports2.application = proto; exports2.request = req; exports2.response = res; exports2.Route = Router.Route; exports2.Router = Router; exports2.json = bodyParser2.json; exports2.raw = bodyParser2.raw; exports2.static = require_serve_static(); exports2.text = bodyParser2.text; exports2.urlencoded = bodyParser2.urlencoded; } }); var require_express2 = __commonJS({ "node_modules/express/index.js"(exports2, module2) { "use strict"; module2.exports = require_express(); } }); var require_object_assign = __commonJS({ "node_modules/object-assign/index.js"(exports2, module2) { "use strict"; var getOwnPropertySymbols = Object.getOwnPropertySymbols; var hasOwnProperty = Object.prototype.hasOwnProperty; var propIsEnumerable = Object.prototype.propertyIsEnumerable; function toObject(val) { if (val === null || val === void 0) { throw new TypeError("Object.assign cannot be called with null or undefined"); } return Object(val); } function shouldUseNative() { try { if (!Object.assign) { return false; } var test1 = new String("abc"); test1[5] = "de"; if (Object.getOwnPropertyNames(test1)[0] === "5") { return false; } var test2 = {}; for (var i = 0; i < 10; i++) { test2["_" + String.fromCharCode(i)] = i; } var order2 = Object.getOwnPropertyNames(test2).map(function(n) { return test2[n]; }); if (order2.join("") !== "0123456789") { return false; } var test3 = {}; "abcdefghijklmnopqrst".split("").forEach(function(letter) { test3[letter] = letter; }); if (Object.keys(Object.assign({}, test3)).join("") !== "abcdefghijklmnopqrst") { return false; } return true; } catch (err) { return false; } } module2.exports = shouldUseNative() ? Object.assign : function(target, source) { var from; var to = toObject(target); var symbols; for (var s = 1; s < arguments.length; s++) { from = Object(arguments[s]); for (var key in from) { if (hasOwnProperty.call(from, key)) { to[key] = from[key]; } } if (getOwnPropertySymbols) { symbols = getOwnPropertySymbols(from); for (var i = 0; i < symbols.length; i++) { if (propIsEnumerable.call(from, symbols[i])) { to[symbols[i]] = from[symbols[i]]; } } } } return to; }; } }); var require_lib5 = __commonJS({ "node_modules/cors/lib/index.js"(exports2, module2) { (function() { "use strict"; var assign = require_object_assign(); var vary = require_vary(); var defaults = { origin: "*", methods: "GET,HEAD,PUT,PATCH,POST,DELETE", preflightContinue: false, optionsSuccessStatus: 204 }; function isString(s) { return typeof s === "string" || s instanceof String; } function isOriginAllowed(origin, allowedOrigin) { if (Array.isArray(allowedOrigin)) { for (var i = 0; i < allowedOrigin.length; ++i) { if (isOriginAllowed(origin, allowedOrigin[i])) { return true; } } return false; } else if (isString(allowedOrigin)) { return origin === allowedOrigin; } else if (allowedOrigin instanceof RegExp) { return allowedOrigin.test(origin); } else { return !!allowedOrigin; } } function configureOrigin(options, req) { var requestOrigin = req.headers.origin, headers = [], isAllowed; if (!options.origin || options.origin === "*") { headers.push([{ key: "Access-Control-Allow-Origin", value: "*" }]); } else if (isString(options.origin)) { headers.push([{ key: "Access-Control-Allow-Origin", value: options.origin }]); headers.push([{ key: "Vary", value: "Origin" }]); } else { isAllowed = isOriginAllowed(requestOrigin, options.origin); headers.push([{ key: "Access-Control-Allow-Origin", value: isAllowed ? requestOrigin : false }]); headers.push([{ key: "Vary", value: "Origin" }]); } return headers; } function configureMethods(options) { var methods = options.methods; if (methods.join) { methods = options.methods.join(","); } return { key: "Access-Control-Allow-Methods", value: methods }; } function configureCredentials(options) { if (options.credentials === true) { return { key: "Access-Control-Allow-Credentials", value: "true" }; } return null; } function configureAllowedHeaders(options, req) { var allowedHeaders = options.allowedHeaders || options.headers; var headers = []; if (!allowedHeaders) { allowedHeaders = req.headers["access-control-request-headers"]; headers.push([{ key: "Vary", value: "Access-Control-Request-Headers" }]); } else if (allowedHeaders.join) { allowedHeaders = allowedHeaders.join(","); } if (allowedHeaders && allowedHeaders.length) { headers.push([{ key: "Access-Control-Allow-Headers", value: allowedHeaders }]); } return headers; } function configureExposedHeaders(options) { var headers = options.exposedHeaders; if (!headers) { return null; } else if (headers.join) { headers = headers.join(","); } if (headers && headers.length) { return { key: "Access-Control-Expose-Headers", value: headers }; } return null; } function configureMaxAge(options) { var maxAge = (typeof options.maxAge === "number" || options.maxAge) && options.maxAge.toString(); if (maxAge && maxAge.length) { return { key: "Access-Control-Max-Age", value: maxAge }; } return null; } function applyHeaders(headers, res) { for (var i = 0, n = headers.length; i < n; i++) { var header = headers[i]; if (header) { if (Array.isArray(header)) { applyHeaders(header, res); } else if (header.key === "Vary" && header.value) { vary(res, header.value); } else if (header.value) { res.setHeader(header.key, header.value); } } } } function cors2(options, req, res, next) { var headers = [], method = req.method && req.method.toUpperCase && req.method.toUpperCase(); if (method === "OPTIONS") { headers.push(configureOrigin(options, req)); headers.push(configureCredentials(options, req)); headers.push(configureMethods(options, req)); headers.push(configureAllowedHeaders(options, req)); headers.push(configureMaxAge(options, req)); headers.push(configureExposedHeaders(options, req)); applyHeaders(headers, res); if (options.preflightContinue) { next(); } else { res.statusCode = options.optionsSuccessStatus; res.setHeader("Content-Length", "0"); res.end(); } } else { headers.push(configureOrigin(options, req)); headers.push(configureCredentials(options, req)); headers.push(configureExposedHeaders(options, req)); applyHeaders(headers, res); next(); } } function middlewareWrapper(o) { var optionsCallback = null; if (typeof o === "function") { optionsCallback = o; } else { optionsCallback = function(req, cb) { cb(null, o); }; } return function corsMiddleware(req, res, next) { optionsCallback(req, function(err, options) { if (err) { next(err); } else { var corsOptions = assign({}, defaults, options); var originCallback = null; if (corsOptions.origin && typeof corsOptions.origin === "function") { originCallback = corsOptions.origin; } else if (corsOptions.origin) { originCallback = function(origin, cb) { cb(null, corsOptions.origin); }; } if (originCallback) { originCallback(req.headers.origin, function(err2, origin) { if (err2 || !origin) { next(err2); } else { corsOptions.origin = origin; cors2(corsOptions, req, res, next); } }); } else { next(); } } }); }; } module2.exports = middlewareWrapper; })(); } }); var require_logic = __commonJS({ "node_modules/json-logic-js/logic.js"(exports2, module2) { (function(root, factory) { if (typeof define === "function" && define.amd) { define(factory); } else if (typeof exports2 === "object") { module2.exports = factory(); } else { root.jsonLogic = factory(); } })(exports2, function() { "use strict"; if (!Array.isArray) { Array.isArray = function(arg) { return Object.prototype.toString.call(arg) === "[object Array]"; }; } function arrayUnique(array) { var a = []; for (var i = 0, l = array.length; i < l; i++) { if (a.indexOf(array[i]) === -1) { a.push(array[i]); } } return a; } var jsonLogic2 = {}; var operations = { "==": function(a, b) { return a == b; }, "===": function(a, b) { return a === b; }, "!=": function(a, b) { return a != b; }, "!==": function(a, b) { return a !== b; }, ">": function(a, b) { return a > b; }, ">=": function(a, b) { return a >= b; }, "<": function(a, b, c) { return c === void 0 ? a < b : a < b && b < c; }, "<=": function(a, b, c) { return c === void 0 ? a <= b : a <= b && b <= c; }, "!!": function(a) { return jsonLogic2.truthy(a); }, "!": function(a) { return !jsonLogic2.truthy(a); }, "%": function(a, b) { return a % b; }, "log": function(a) { console.log(a); return a; }, "in": function(a, b) { if (!b || typeof b.indexOf === "undefined") return false; return b.indexOf(a) !== -1; }, "cat": function() { return Array.prototype.join.call(arguments, ""); }, "substr": function(source, start, end) { if (end < 0) { var temp = String(source).substr(start); return temp.substr(0, temp.length + end); } return String(source).substr(start, end); }, "+": function() { return Array.prototype.reduce.call(arguments, function(a, b) { return parseFloat(a, 10) + parseFloat(b, 10); }, 0); }, "*": function() { return Array.prototype.reduce.call(arguments, function(a, b) { return parseFloat(a, 10) * parseFloat(b, 10); }); }, "-": function(a, b) { if (b === void 0) { return -a; } else { return a - b; } }, "/": function(a, b) { return a / b; }, "min": function() { return Math.min.apply(this, arguments); }, "max": function() { return Math.max.apply(this, arguments); }, "merge": function() { return Array.prototype.reduce.call(arguments, function(a, b) { return a.concat(b); }, []); }, "var": function(a, b) { var not_found = b === void 0 ? null : b; var data = this; if (typeof a === "undefined" || a === "" || a === null) { return data; } var sub_props = String(a).split("."); for (var i = 0; i < sub_props.length; i++) { if (data === null || data === void 0) { return not_found; } data = data[sub_props[i]]; if (data === void 0) { return not_found; } } return data; }, "missing": function() { var missing = []; var keys = Array.isArray(arguments[0]) ? arguments[0] : arguments; for (var i = 0; i < keys.length; i++) { var key = keys[i]; var value = jsonLogic2.apply({ "var": key }, this); if (value === null || value === "") { missing.push(key); } } return missing; }, "missing_some": function(need_count, options) { var are_missing = jsonLogic2.apply({ "missing": options }, this); if (options.length - are_missing.length >= need_count) { return []; } else { return are_missing; } } }; jsonLogic2.is_logic = function(logic) { return typeof logic === "object" && logic !== null && !Array.isArray(logic) && Object.keys(logic).length === 1; }; jsonLogic2.truthy = function(value) { if (Array.isArray(value) && value.length === 0) { return false; } return !!value; }; jsonLogic2.get_operator = function(logic) { return Object.keys(logic)[0]; }; jsonLogic2.get_values = function(logic) { return logic[jsonLogic2.get_operator(logic)]; }; jsonLogic2.apply = function(logic, data) { if (Array.isArray(logic)) { return logic.map(function(l) { return jsonLogic2.apply(l, data); }); } if (!jsonLogic2.is_logic(logic)) { return logic; } var op = jsonLogic2.get_operator(logic); var values = logic[op]; var i; var current; var scopedLogic; var scopedData; var initial; if (!Array.isArray(values)) { values = [values]; } if (op === "if" || op == "?:") { for (i = 0; i < values.length - 1; i += 2) { if (jsonLogic2.truthy(jsonLogic2.apply(values[i], data))) { return jsonLogic2.apply(values[i + 1], data); } } if (values.length === i + 1) { return jsonLogic2.apply(values[i], data); } return null; } else if (op === "and") { for (i = 0; i < values.length; i += 1) { current = jsonLogic2.apply(values[i], data); if (!jsonLogic2.truthy(current)) { return current; } } return current; } else if (op === "or") { for (i = 0; i < values.length; i += 1) { current = jsonLogic2.apply(values[i], data); if (jsonLogic2.truthy(current)) { return current; } } return current; } else if (op === "filter") { scopedData = jsonLogic2.apply(values[0], data); scopedLogic = values[1]; if (!Array.isArray(scopedData)) { return []; } return scopedData.filter(function(datum) { return jsonLogic2.truthy(jsonLogic2.apply(scopedLogic, datum)); }); } else if (op === "map") { scopedData = jsonLogic2.apply(values[0], data); scopedLogic = values[1]; if (!Array.isArray(scopedData)) { return []; } return scopedData.map(function(datum) { return jsonLogic2.apply(scopedLogic, datum); }); } else if (op === "reduce") { scopedData = jsonLogic2.apply(values[0], data); scopedLogic = values[1]; initial = typeof values[2] !== "undefined" ? jsonLogic2.apply(values[2], data) : null; if (!Array.isArray(scopedData)) { return initial; } return scopedData.reduce(function(accumulator, current2) { return jsonLogic2.apply(scopedLogic, { current: current2, accumulator }); }, initial); } else if (op === "all") { scopedData = jsonLogic2.apply(values[0], data); scopedLogic = values[1]; if (!Array.isArray(scopedData) || !scopedData.length) { return false; } for (i = 0; i < scopedData.length; i += 1) { if (!jsonLogic2.truthy(jsonLogic2.apply(scopedLogic, scopedData[i]))) { return false; } } return true; } else if (op === "none") { scopedData = jsonLogic2.apply(values[0], data); scopedLogic = values[1]; if (!Array.isArray(scopedData) || !scopedData.length) { return true; } for (i = 0; i < scopedData.length; i += 1) { if (jsonLogic2.truthy(jsonLogic2.apply(scopedLogic, scopedData[i]))) { return false; } } return true; } else if (op === "some") { scopedData = jsonLogic2.apply(values[0], data); scopedLogic = values[1]; if (!Array.isArray(scopedData) || !scopedData.length) { return false; } for (i = 0; i < scopedData.length; i += 1) { if (jsonLogic2.truthy(jsonLogic2.apply(scopedLogic, scopedData[i]))) { return true; } } return false; } values = values.map(function(val) { return jsonLogic2.apply(val, data); }); if (operations.hasOwnProperty(op) && typeof operations[op] === "function") { return operations[op].apply(data, values); } else if (op.indexOf(".") > 0) { var sub_ops = String(op).split("."); var operation = operations; for (i = 0; i < sub_ops.length; i++) { if (!operation.hasOwnProperty(sub_ops[i])) { throw new Error("Unrecognized operation " + op + " (failed at " + sub_ops.slice(0, i + 1).join(".") + ")"); } operation = operation[sub_ops[i]]; } return operation.apply(data, values); } throw new Error("Unrecognized operation " + op); }; jsonLogic2.uses_data = function(logic) { var collection = []; if (jsonLogic2.is_logic(logic)) { var op = jsonLogic2.get_operator(logic); var values = logic[op]; if (!Array.isArray(values)) { values = [values]; } if (op === "var") { collection.push(values[0]); } else { values.forEach(function(val) { collection.push.apply(collection, jsonLogic2.uses_data(val)); }); } } return arrayUnique(collection); }; jsonLogic2.add_operation = function(name, code) { operations[name] = code; }; jsonLogic2.rm_operation = function(name) { delete operations[name]; }; jsonLogic2.rule_like = function(rule, pattern) { if (pattern === rule) { return true; } if (pattern === "@") { return true; } if (pattern === "number") { return typeof rule === "number"; } if (pattern === "string") { return typeof rule === "string"; } if (pattern === "array") { return Array.isArray(rule) && !jsonLogic2.is_logic(rule); } if (jsonLogic2.is_logic(pattern)) { if (jsonLogic2.is_logic(rule)) { var pattern_op = jsonLogic2.get_operator(pattern); var rule_op = jsonLogic2.get_operator(rule); if (pattern_op === "@" || pattern_op === rule_op) { return jsonLogic2.rule_like(jsonLogic2.get_values(rule, false), jsonLogic2.get_values(pattern, false)); } } return false; } if (Array.isArray(pattern)) { if (Array.isArray(rule)) { if (pattern.length !== rule.length) { return false; } for (var i = 0; i < pattern.length; i += 1) { if (!jsonLogic2.rule_like(rule[i], pattern[i])) { return false; } } return true; } else { return false; } } return false; }; return jsonLogic2; }); } }); var require_callsite_tostring = __commonJS({ "node_modules/response-time/node_modules/depd/lib/compat/callsite-tostring.js"(exports2, module2) { "use strict"; module2.exports = callSiteToString2; function callSiteFileLocation(callSite) { var fileName; var fileLocation = ""; if (callSite.isNative()) { fileLocation = "native"; } else if (callSite.isEval()) { fileName = callSite.getScriptNameOrSourceURL(); if (!fileName) { fileLocation = callSite.getEvalOrigin(); } } else { fileName = callSite.getFileName(); } if (fileName) { fileLocation += fileName; var lineNumber = callSite.getLineNumber(); if (lineNumber != null) { fileLocation += ":" + lineNumber; var columnNumber = callSite.getColumnNumber(); if (columnNumber) { fileLocation += ":" + columnNumber; } } } return fileLocation || "unknown source"; } function callSiteToString2(callSite) { var addSuffix = true; var fileLocation = callSiteFileLocation(callSite); var functionName = callSite.getFunctionName(); var isConstructor = callSite.isConstructor(); var isMethodCall = !(callSite.isToplevel() || isConstructor); var line = ""; if (isMethodCall) { var methodName = callSite.getMethodName(); var typeName = getConstructorName(callSite); if (functionName) { if (typeName && functionName.indexOf(typeName) !== 0) { line += typeName + "."; } line += functionName; if (methodName && functionName.lastIndexOf("." + methodName) !== functionName.length - methodName.length - 1) { line += " [as " + methodName + "]"; } } else { line += typeName + "." + (methodName || ""); } } else if (isConstructor) { line += "new " + (functionName || ""); } else if (functionName) { line += functionName; } else { addSuffix = false; line += fileLocation; } if (addSuffix) { line += " (" + fileLocation + ")"; } return line; } function getConstructorName(obj) { var receiver = obj.receiver; return receiver.constructor && receiver.constructor.name || null; } } }); var require_event_listener_count = __commonJS({ "node_modules/response-time/node_modules/depd/lib/compat/event-listener-count.js"(exports2, module2) { "use strict"; module2.exports = eventListenerCount2; function eventListenerCount2(emitter, type) { return emitter.listeners(type).length; } } }); var require_compat = __commonJS({ "node_modules/response-time/node_modules/depd/lib/compat/index.js"(exports2, module2) { "use strict"; var EventEmitter = require("events").EventEmitter; lazyProperty(module2.exports, "callSiteToString", function callSiteToString2() { var limit = Error.stackTraceLimit; var obj = {}; var prep = Error.prepareStackTrace; function prepareObjectStackTrace2(obj2, stack3) { return stack3; } Error.prepareStackTrace = prepareObjectStackTrace2; Error.stackTraceLimit = 2; Error.captureStackTrace(obj); var stack2 = obj.stack.slice(); Error.prepareStackTrace = prep; Error.stackTraceLimit = limit; return stack2[0].toString ? toString : require_callsite_tostring(); }); lazyProperty(module2.exports, "eventListenerCount", function eventListenerCount2() { return EventEmitter.listenerCount || require_event_listener_count(); }); function lazyProperty(obj, prop, getter) { function get() { var val = getter(); Object.defineProperty(obj, prop, { configurable: true, enumerable: true, value: val }); return val; } Object.defineProperty(obj, prop, { configurable: true, enumerable: true, get }); } function toString(obj) { return obj.toString(); } } }); var require_depd2 = __commonJS({ "node_modules/response-time/node_modules/depd/index.js"(exports, module) { var callSiteToString = require_compat().callSiteToString; var eventListenerCount = require_compat().eventListenerCount; var relative = require("path").relative; module.exports = depd; var basePath = process.cwd(); function containsNamespace(str, namespace) { var vals = str.split(/[ ,]+/); var ns = String(namespace).toLowerCase(); for (var i = 0; i < vals.length; i++) { var val = vals[i]; if (val && (val === "*" || val.toLowerCase() === ns)) { return true; } } return false; } function convertDataDescriptorToAccessor(obj, prop, message2) { var descriptor = Object.getOwnPropertyDescriptor(obj, prop); var value = descriptor.value; descriptor.get = function getter() { return value; }; if (descriptor.writable) { descriptor.set = function setter(val) { return value = val; }; } delete descriptor.value; delete descriptor.writable; Object.defineProperty(obj, prop, descriptor); return descriptor; } function createArgumentsString(arity) { var str = ""; for (var i = 0; i < arity; i++) { str += ", arg" + i; } return str.substr(2); } function createStackString(stack2) { var str = this.name + ": " + this.namespace; if (this.message) { str += " deprecated " + this.message; } for (var i = 0; i < stack2.length; i++) { str += "\n at " + callSiteToString(stack2[i]); } return str; } function depd(namespace) { if (!namespace) { throw new TypeError("argument namespace is required"); } var stack2 = getStack(); var site2 = callSiteLocation(stack2[1]); var file = site2[0]; function deprecate2(message2) { log.call(deprecate2, message2); } deprecate2._file = file; deprecate2._ignored = isignored(namespace); deprecate2._namespace = namespace; deprecate2._traced = istraced(namespace); deprecate2._warned = /* @__PURE__ */ Object.create(null); deprecate2.function = wrapfunction; deprecate2.property = wrapproperty; return deprecate2; } function isignored(namespace) { if (process.noDeprecation) { return true; } var str = process.env.NO_DEPRECATION || ""; return containsNamespace(str, namespace); } function istraced(namespace) { if (process.traceDeprecation) { return true; } var str = process.env.TRACE_DEPRECATION || ""; return containsNamespace(str, namespace); } function log(message2, site2) { var haslisteners = eventListenerCount(process, "deprecation") !== 0; if (!haslisteners && this._ignored) { return; } var caller; var callFile; var callSite; var depSite; var i = 0; var seen = false; var stack2 = getStack(); var file = this._file; if (site2) { depSite = site2; callSite = callSiteLocation(stack2[1]); callSite.name = depSite.name; file = callSite[0]; } else { i = 2; depSite = callSiteLocation(stack2[i]); callSite = depSite; } for (; i < stack2.length; i++) { caller = callSiteLocation(stack2[i]); callFile = caller[0]; if (callFile === file) { seen = true; } else if (callFile === this._file) { file = this._file; } else if (seen) { break; } } var key = caller ? depSite.join(":") + "__" + caller.join(":") : void 0; if (key !== void 0 && key in this._warned) { return; } this._warned[key] = true; var msg = message2; if (!msg) { msg = callSite === depSite || !callSite.name ? defaultMessage(depSite) : defaultMessage(callSite); } if (haslisteners) { var err = DeprecationError(this._namespace, msg, stack2.slice(i)); process.emit("deprecation", err); return; } var format = process.stderr.isTTY ? formatColor : formatPlain; var output = format.call(this, msg, caller, stack2.slice(i)); process.stderr.write(output + "\n", "utf8"); } function callSiteLocation(callSite) { var file = callSite.getFileName() || ""; var line = callSite.getLineNumber(); var colm = callSite.getColumnNumber(); if (callSite.isEval()) { file = callSite.getEvalOrigin() + ", " + file; } var site2 = [file, line, colm]; site2.callSite = callSite; site2.name = callSite.getFunctionName(); return site2; } function defaultMessage(site2) { var callSite = site2.callSite; var funcName = site2.name; if (!funcName) { funcName = ""; } var context = callSite.getThis(); var typeName = context && callSite.getTypeName(); if (typeName === "Object") { typeName = void 0; } if (typeName === "Function") { typeName = context.name || typeName; } return typeName && callSite.getMethodName() ? typeName + "." + funcName : funcName; } function formatPlain(msg, caller, stack2) { var timestamp = new Date().toUTCString(); var formatted = timestamp + " " + this._namespace + " deprecated " + msg; if (this._traced) { for (var i = 0; i < stack2.length; i++) { formatted += "\n at " + callSiteToString(stack2[i]); } return formatted; } if (caller) { formatted += " at " + formatLocation(caller); } return formatted; } function formatColor(msg, caller, stack2) { var formatted = "\x1B[36;1m" + this._namespace + "\x1B[22;39m \x1B[33;1mdeprecated\x1B[22;39m \x1B[0m" + msg + "\x1B[39m"; if (this._traced) { for (var i = 0; i < stack2.length; i++) { formatted += "\n \x1B[36mat " + callSiteToString(stack2[i]) + "\x1B[39m"; } return formatted; } if (caller) { formatted += " \x1B[36m" + formatLocation(caller) + "\x1B[39m"; } return formatted; } function formatLocation(callSite) { return relative(basePath, callSite[0]) + ":" + callSite[1] + ":" + callSite[2]; } function getStack() { var limit = Error.stackTraceLimit; var obj = {}; var prep = Error.prepareStackTrace; Error.prepareStackTrace = prepareObjectStackTrace; Error.stackTraceLimit = Math.max(10, limit); Error.captureStackTrace(obj); var stack2 = obj.stack.slice(1); Error.prepareStackTrace = prep; Error.stackTraceLimit = limit; return stack2; } function prepareObjectStackTrace(obj, stack2) { return stack2; } function wrapfunction(fn, message) { if (typeof fn !== "function") { throw new TypeError("argument fn must be a function"); } var args = createArgumentsString(fn.length); var deprecate = this; var stack = getStack(); var site = callSiteLocation(stack[1]); site.name = fn.name; var deprecatedfn = eval("(function (" + args + ') {\n"use strict"\nlog.call(deprecate, message, site)\nreturn fn.apply(this, arguments)\n})'); return deprecatedfn; } function wrapproperty(obj, prop, message2) { if (!obj || typeof obj !== "object" && typeof obj !== "function") { throw new TypeError("argument obj must be object"); } var descriptor = Object.getOwnPropertyDescriptor(obj, prop); if (!descriptor) { throw new TypeError("must call property on owner object"); } if (!descriptor.configurable) { throw new TypeError("property must be configurable"); } var deprecate2 = this; var stack2 = getStack(); var site2 = callSiteLocation(stack2[1]); site2.name = prop; if ("value" in descriptor) { descriptor = convertDataDescriptorToAccessor(obj, prop, message2); } var get = descriptor.get; var set = descriptor.set; if (typeof get === "function") { descriptor.get = function getter() { log.call(deprecate2, message2, site2); return get.apply(this, arguments); }; } if (typeof set === "function") { descriptor.set = function setter() { log.call(deprecate2, message2, site2); return set.apply(this, arguments); }; } Object.defineProperty(obj, prop, descriptor); } function DeprecationError(namespace, message2, stack2) { var error = new Error(); var stackString; Object.defineProperty(error, "constructor", { value: DeprecationError }); Object.defineProperty(error, "message", { configurable: true, enumerable: false, value: message2, writable: true }); Object.defineProperty(error, "name", { enumerable: false, configurable: true, value: "DeprecationError", writable: true }); Object.defineProperty(error, "namespace", { configurable: true, enumerable: false, value: namespace, writable: true }); Object.defineProperty(error, "stack", { configurable: true, enumerable: false, get: function() { if (stackString !== void 0) { return stackString; } return stackString = createStackString.call(this, stack2); }, set: function setter(val) { stackString = val; } }); return error; } } }); var require_on_headers = __commonJS({ "node_modules/on-headers/index.js"(exports2, module2) { "use strict"; module2.exports = onHeaders; function createWriteHead(prevWriteHead, listener) { var fired = false; return function writeHead(statusCode) { var args2 = setWriteHeadHeaders.apply(this, arguments); if (!fired) { fired = true; listener.call(this); if (typeof args2[0] === "number" && this.statusCode !== args2[0]) { args2[0] = this.statusCode; args2.length = 1; } } return prevWriteHead.apply(this, args2); }; } function onHeaders(res, listener) { if (!res) { throw new TypeError("argument res is required"); } if (typeof listener !== "function") { throw new TypeError("argument listener must be a function"); } res.writeHead = createWriteHead(res.writeHead, listener); } function setHeadersFromArray(res, headers) { for (var i = 0; i < headers.length; i++) { res.setHeader(headers[i][0], headers[i][1]); } } function setHeadersFromObject(res, headers) { var keys = Object.keys(headers); for (var i = 0; i < keys.length; i++) { var k = keys[i]; if (k) res.setHeader(k, headers[k]); } } function setWriteHeadHeaders(statusCode) { var length = arguments.length; var headerIndex = length > 1 && typeof arguments[1] === "string" ? 2 : 1; var headers = length >= headerIndex + 1 ? arguments[headerIndex] : void 0; this.statusCode = statusCode; if (Array.isArray(headers)) { setHeadersFromArray(this, headers); } else if (headers) { setHeadersFromObject(this, headers); } var args2 = new Array(Math.min(length, headerIndex)); for (var i = 0; i < args2.length; i++) { args2[i] = arguments[i]; } return args2; } } }); var require_response_time = __commonJS({ "node_modules/response-time/index.js"(exports2, module2) { "use strict"; var deprecate2 = require_depd2()("response-time"); var onHeaders = require_on_headers(); module2.exports = responseTime2; function responseTime2(options) { var opts = options || {}; if (typeof options === "number") { deprecate2("number argument: use {digits: " + JSON.stringify(options) + "} instead"); opts = { digits: options }; } var fn2 = typeof opts !== "function" ? createSetHeader(opts) : opts; return function responseTime3(req, res, next) { var startAt = process.hrtime(); onHeaders(res, function onHeaders2() { var diff = process.hrtime(startAt); var time = diff[0] * 1e3 + diff[1] * 1e-6; fn2(req, res, time); }); next(); }; } function createSetHeader(options) { var digits = options.digits !== void 0 ? options.digits : 3; var header = options.header || "X-Response-Time"; var suffix = options.suffix !== void 0 ? Boolean(options.suffix) : true; return function setResponseHeader(req, res, time) { if (res.getHeader(header)) { return; } var val = time.toFixed(digits); if (suffix) { val += "ms"; } res.setHeader(header, val); }; } } }); var require_strict_uri_encode = __commonJS({ "node_modules/strict-uri-encode/index.js"(exports2, module2) { "use strict"; module2.exports = (str) => encodeURIComponent(str).replace(/[!'()*]/g, (x) => `%${x.charCodeAt(0).toString(16).toUpperCase()}`); } }); var require_decode_uri_component = __commonJS({ "node_modules/decode-uri-component/index.js"(exports2, module2) { "use strict"; var token = "%[a-f0-9]{2}"; var singleMatcher = new RegExp("(" + token + ")|([^%]+?)", "gi"); var multiMatcher = new RegExp("(" + token + ")+", "gi"); function decodeComponents(components, split) { try { return [decodeURIComponent(components.join(""))]; } catch (err) { } if (components.length === 1) { return components; } split = split || 1; var left = components.slice(0, split); var right = components.slice(split); return Array.prototype.concat.call([], decodeComponents(left), decodeComponents(right)); } function decode(input) { try { return decodeURIComponent(input); } catch (err) { var tokens = input.match(singleMatcher) || []; for (var i = 1; i < tokens.length; i++) { input = decodeComponents(tokens, i).join(""); tokens = input.match(singleMatcher) || []; } return input; } } function customDecodeURIComponent(input) { var replaceMap = { "%FE%FF": "\uFFFD\uFFFD", "%FF%FE": "\uFFFD\uFFFD" }; var match = multiMatcher.exec(input); while (match) { try { replaceMap[match[0]] = decodeURIComponent(match[0]); } catch (err) { var result = decode(match[0]); if (result !== match[0]) { replaceMap[match[0]] = result; } } match = multiMatcher.exec(input); } replaceMap["%C2"] = "\uFFFD"; var entries = Object.keys(replaceMap); for (var i = 0; i < entries.length; i++) { var key = entries[i]; input = input.replace(new RegExp(key, "g"), replaceMap[key]); } return input; } module2.exports = function(encodedURI) { if (typeof encodedURI !== "string") { throw new TypeError("Expected `encodedURI` to be of type `string`, got `" + typeof encodedURI + "`"); } try { encodedURI = encodedURI.replace(/\+/g, " "); return decodeURIComponent(encodedURI); } catch (err) { return customDecodeURIComponent(encodedURI); } }; } }); var require_split_on_first = __commonJS({ "node_modules/split-on-first/index.js"(exports2, module2) { "use strict"; module2.exports = (string, separator) => { if (!(typeof string === "string" && typeof separator === "string")) { throw new TypeError("Expected the arguments to be of type `string`"); } if (separator === "") { return [string]; } const separatorIndex = string.indexOf(separator); if (separatorIndex === -1) { return [string]; } return [ string.slice(0, separatorIndex), string.slice(separatorIndex + separator.length) ]; }; } }); var require_filter_obj = __commonJS({ "node_modules/filter-obj/index.js"(exports2, module2) { "use strict"; module2.exports = function(obj, predicate) { var ret = {}; var keys = Object.keys(obj); var isArr = Array.isArray(predicate); for (var i = 0; i < keys.length; i++) { var key = keys[i]; var val = obj[key]; if (isArr ? predicate.indexOf(key) !== -1 : predicate(key, val, obj)) { ret[key] = val; } } return ret; }; } }); var require_query_string = __commonJS({ "node_modules/query-string/index.js"(exports2) { "use strict"; var strictUriEncode = require_strict_uri_encode(); var decodeComponent = require_decode_uri_component(); var splitOnFirst = require_split_on_first(); var filterObject = require_filter_obj(); var isNullOrUndefined = (value) => value === null || value === void 0; var encodeFragmentIdentifier = Symbol("encodeFragmentIdentifier"); function encoderForArrayFormat(options) { switch (options.arrayFormat) { case "index": return (key) => (result, value) => { const index = result.length; if (value === void 0 || options.skipNull && value === null || options.skipEmptyString && value === "") { return result; } if (value === null) { return [...result, [encode(key, options), "[", index, "]"].join("")]; } return [ ...result, [encode(key, options), "[", encode(index, options), "]=", encode(value, options)].join("") ]; }; case "bracket": return (key) => (result, value) => { if (value === void 0 || options.skipNull && value === null || options.skipEmptyString && value === "") { return result; } if (value === null) { return [...result, [encode(key, options), "[]"].join("")]; } return [...result, [encode(key, options), "[]=", encode(value, options)].join("")]; }; case "colon-list-separator": return (key) => (result, value) => { if (value === void 0 || options.skipNull && value === null || options.skipEmptyString && value === "") { return result; } if (value === null) { return [...result, [encode(key, options), ":list="].join("")]; } return [...result, [encode(key, options), ":list=", encode(value, options)].join("")]; }; case "comma": case "separator": case "bracket-separator": { const keyValueSep = options.arrayFormat === "bracket-separator" ? "[]=" : "="; return (key) => (result, value) => { if (value === void 0 || options.skipNull && value === null || options.skipEmptyString && value === "") { return result; } value = value === null ? "" : value; if (result.length === 0) { return [[encode(key, options), keyValueSep, encode(value, options)].join("")]; } return [[result, encode(value, options)].join(options.arrayFormatSeparator)]; }; } default: return (key) => (result, value) => { if (value === void 0 || options.skipNull && value === null || options.skipEmptyString && value === "") { return result; } if (value === null) { return [...result, encode(key, options)]; } return [...result, [encode(key, options), "=", encode(value, options)].join("")]; }; } } function parserForArrayFormat(options) { let result; switch (options.arrayFormat) { case "index": return (key, value, accumulator) => { result = /\[(\d*)\]$/.exec(key); key = key.replace(/\[\d*\]$/, ""); if (!result) { accumulator[key] = value; return; } if (accumulator[key] === void 0) { accumulator[key] = {}; } accumulator[key][result[1]] = value; }; case "bracket": return (key, value, accumulator) => { result = /(\[\])$/.exec(key); key = key.replace(/\[\]$/, ""); if (!result) { accumulator[key] = value; return; } if (accumulator[key] === void 0) { accumulator[key] = [value]; return; } accumulator[key] = [].concat(accumulator[key], value); }; case "colon-list-separator": return (key, value, accumulator) => { result = /(:list)$/.exec(key); key = key.replace(/:list$/, ""); if (!result) { accumulator[key] = value; return; } if (accumulator[key] === void 0) { accumulator[key] = [value]; return; } accumulator[key] = [].concat(accumulator[key], value); }; case "comma": case "separator": return (key, value, accumulator) => { const isArray = typeof value === "string" && value.includes(options.arrayFormatSeparator); const isEncodedArray = typeof value === "string" && !isArray && decode(value, options).includes(options.arrayFormatSeparator); value = isEncodedArray ? decode(value, options) : value; const newValue = isArray || isEncodedArray ? value.split(options.arrayFormatSeparator).map((item) => decode(item, options)) : value === null ? value : decode(value, options); accumulator[key] = newValue; }; case "bracket-separator": return (key, value, accumulator) => { const isArray = /(\[\])$/.test(key); key = key.replace(/\[\]$/, ""); if (!isArray) { accumulator[key] = value ? decode(value, options) : value; return; } const arrayValue = value === null ? [] : value.split(options.arrayFormatSeparator).map((item) => decode(item, options)); if (accumulator[key] === void 0) { accumulator[key] = arrayValue; return; } accumulator[key] = [].concat(accumulator[key], arrayValue); }; default: return (key, value, accumulator) => { if (accumulator[key] === void 0) { accumulator[key] = value; return; } accumulator[key] = [].concat(accumulator[key], value); }; } } function validateArrayFormatSeparator(value) { if (typeof value !== "string" || value.length !== 1) { throw new TypeError("arrayFormatSeparator must be single character string"); } } function encode(value, options) { if (options.encode) { return options.strict ? strictUriEncode(value) : encodeURIComponent(value); } return value; } function decode(value, options) { if (options.decode) { return decodeComponent(value); } return value; } function keysSorter(input) { if (Array.isArray(input)) { return input.sort(); } if (typeof input === "object") { return keysSorter(Object.keys(input)).sort((a, b) => Number(a) - Number(b)).map((key) => input[key]); } return input; } function removeHash(input) { const hashStart = input.indexOf("#"); if (hashStart !== -1) { input = input.slice(0, hashStart); } return input; } function getHash(url) { let hash = ""; const hashStart = url.indexOf("#"); if (hashStart !== -1) { hash = url.slice(hashStart); } return hash; } function extract(input) { input = removeHash(input); const queryStart = input.indexOf("?"); if (queryStart === -1) { return ""; } return input.slice(queryStart + 1); } function parseValue(value, options) { if (options.parseNumbers && !Number.isNaN(Number(value)) && (typeof value === "string" && value.trim() !== "")) { value = Number(value); } else if (options.parseBooleans && value !== null && (value.toLowerCase() === "true" || value.toLowerCase() === "false")) { value = value.toLowerCase() === "true"; } return value; } function parse(query, options) { options = Object.assign({ decode: true, sort: true, arrayFormat: "none", arrayFormatSeparator: ",", parseNumbers: false, parseBooleans: false }, options); validateArrayFormatSeparator(options.arrayFormatSeparator); const formatter = parserForArrayFormat(options); const ret = /* @__PURE__ */ Object.create(null); if (typeof query !== "string") { return ret; } query = query.trim().replace(/^[?#&]/, ""); if (!query) { return ret; } for (const param of query.split("&")) { if (param === "") { continue; } let [key, value] = splitOnFirst(options.decode ? param.replace(/\+/g, " ") : param, "="); value = value === void 0 ? null : ["comma", "separator", "bracket-separator"].includes(options.arrayFormat) ? value : decode(value, options); formatter(decode(key, options), value, ret); } for (const key of Object.keys(ret)) { const value = ret[key]; if (typeof value === "object" && value !== null) { for (const k of Object.keys(value)) { value[k] = parseValue(value[k], options); } } else { ret[key] = parseValue(value, options); } } if (options.sort === false) { return ret; } return (options.sort === true ? Object.keys(ret).sort() : Object.keys(ret).sort(options.sort)).reduce((result, key) => { const value = ret[key]; if (Boolean(value) && typeof value === "object" && !Array.isArray(value)) { result[key] = keysSorter(value); } else { result[key] = value; } return result; }, /* @__PURE__ */ Object.create(null)); } exports2.extract = extract; exports2.parse = parse; exports2.stringify = (object, options) => { if (!object) { return ""; } options = Object.assign({ encode: true, strict: true, arrayFormat: "none", arrayFormatSeparator: "," }, options); validateArrayFormatSeparator(options.arrayFormatSeparator); const shouldFilter = (key) => options.skipNull && isNullOrUndefined(object[key]) || options.skipEmptyString && object[key] === ""; const formatter = encoderForArrayFormat(options); const objectCopy = {}; for (const key of Object.keys(object)) { if (!shouldFilter(key)) { objectCopy[key] = object[key]; } } const keys = Object.keys(objectCopy); if (options.sort !== false) { keys.sort(options.sort); } return keys.map((key) => { const value = object[key]; if (value === void 0) { return ""; } if (value === null) { return encode(key, options); } if (Array.isArray(value)) { if (value.length === 0 && options.arrayFormat === "bracket-separator") { return encode(key, options) + "[]"; } return value.reduce(formatter(key), []).join("&"); } return encode(key, options) + "=" + encode(value, options); }).filter((x) => x.length > 0).join("&"); }; exports2.parseUrl = (url, options) => { options = Object.assign({ decode: true }, options); const [url_, hash] = splitOnFirst(url, "#"); return Object.assign({ url: url_.split("?")[0] || "", query: parse(extract(url), options) }, options && options.parseFragmentIdentifier && hash ? { fragmentIdentifier: decode(hash, options) } : {}); }; exports2.stringifyUrl = (object, options) => { options = Object.assign({ encode: true, strict: true, [encodeFragmentIdentifier]: true }, options); const url = removeHash(object.url).split("?")[0] || ""; const queryFromUrl = exports2.extract(object.url); const parsedQueryFromUrl = exports2.parse(queryFromUrl, { sort: false }); const query = Object.assign(parsedQueryFromUrl, object.query); let queryString2 = exports2.stringify(query, options); if (queryString2) { queryString2 = `?${queryString2}`; } let hash = getHash(object.url); if (object.fragmentIdentifier) { hash = `#${options[encodeFragmentIdentifier] ? encode(object.fragmentIdentifier, options) : object.fragmentIdentifier}`; } return `${url}${queryString2}${hash}`; }; exports2.pick = (input, filter, options) => { options = Object.assign({ parseFragmentIdentifier: true, [encodeFragmentIdentifier]: false }, options); const { url, query, fragmentIdentifier } = exports2.parseUrl(input, options); return exports2.stringifyUrl({ url, query: filterObject(query, filter), fragmentIdentifier }, options); }; exports2.exclude = (input, filter, options) => { const exclusionFilter = Array.isArray(filter) ? (key) => !filter.includes(key) : (key, value) => !filter(key, value); return exports2.pick(input, exclusionFilter, options); }; } }); var require_glob_to_regexp = __commonJS({ "node_modules/glob-to-regexp/index.js"(exports2, module2) { module2.exports = function(glob, opts) { if (typeof glob !== "string") { throw new TypeError("Expected a string"); } var str = String(glob); var reStr = ""; var extended = opts ? !!opts.extended : false; var globstar = opts ? !!opts.globstar : false; var inGroup = false; var flags = opts && typeof opts.flags === "string" ? opts.flags : ""; var c; for (var i = 0, len = str.length; i < len; i++) { c = str[i]; switch (c) { case "/": case "$": case "^": case "+": case ".": case "(": case ")": case "=": case "!": case "|": reStr += "\\" + c; break; case "?": if (extended) { reStr += "."; break; } case "[": case "]": if (extended) { reStr += c; break; } case "{": if (extended) { inGroup = true; reStr += "("; break; } case "}": if (extended) { inGroup = false; reStr += ")"; break; } case ",": if (inGroup) { reStr += "|"; break; } reStr += "\\" + c; break; case "*": var prevChar = str[i - 1]; var starCount = 1; while (str[i + 1] === "*") { starCount++; i++; } var nextChar = str[i + 1]; if (!globstar) { reStr += ".*"; } else { var isGlobstar = starCount > 1 && (prevChar === "/" || prevChar === void 0) && (nextChar === "/" || nextChar === void 0); if (isGlobstar) { reStr += "((?:[^/]*(?:/|$))*)"; i++; } else { reStr += "([^/]*)"; } } break; default: reStr += c; } } if (!flags || !~flags.indexOf("g")) { reStr = "^" + reStr + "$"; } return new RegExp(reStr, flags); }; } }); __export(exports, { default: () => LocalRestApi, getAPI: () => getAPI }); var import_obsidian2 = __toModule(require("obsidian")); var https = __toModule(require("https")); var http2 = __toModule(require("http")); var import_node_forge2 = __toModule(require_lib()); var import_obsidian = __toModule(require("obsidian")); var import_obsidian_daily_notes_interface = __toModule(require_main()); var import_obsidian_dataview = __toModule(require_lib2()); var import_node_forge = __toModule(require_lib()); var import_express = __toModule(require_express2()); var import_http = __toModule(require("http")); var import_cors = __toModule(require_lib5()); var import_mime_types = __toModule(require_mime_types()); var import_body_parser = __toModule(require_body_parser()); var import_json_logic_js = __toModule(require_logic()); var import_response_time = __toModule(require_response_time()); var import_query_string = __toModule(require_query_string()); var import_glob_to_regexp = __toModule(require_glob_to_regexp()); var import_path = __toModule(require("path")); var ErrorCode; (function(ErrorCode2) { ErrorCode2[ErrorCode2["TextContentEncodingRequired"] = 40010] = "TextContentEncodingRequired"; ErrorCode2[ErrorCode2["ContentTypeSpecificationRequired"] = 40011] = "ContentTypeSpecificationRequired"; ErrorCode2[ErrorCode2["InvalidContentForContentType"] = 40015] = "InvalidContentForContentType"; ErrorCode2[ErrorCode2["InvalidContentInsertionPositionValue"] = 40050] = "InvalidContentInsertionPositionValue"; ErrorCode2[ErrorCode2["MissingHeadingHeader"] = 40051] = "MissingHeadingHeader"; ErrorCode2[ErrorCode2["InvalidHeadingHeader"] = 40052] = "InvalidHeadingHeader"; ErrorCode2[ErrorCode2["PeriodIsNotEnabled"] = 40060] = "PeriodIsNotEnabled"; ErrorCode2[ErrorCode2["InvalidFilterQuery"] = 40070] = "InvalidFilterQuery"; ErrorCode2[ErrorCode2["ApiKeyAuthorizationRequired"] = 40101] = "ApiKeyAuthorizationRequired"; ErrorCode2[ErrorCode2["PeriodDoesNotExist"] = 40460] = "PeriodDoesNotExist"; ErrorCode2[ErrorCode2["PeriodicNoteDoesNotExist"] = 40461] = "PeriodicNoteDoesNotExist"; ErrorCode2[ErrorCode2["RequestMethodValidOnlyForFiles"] = 40510] = "RequestMethodValidOnlyForFiles"; })(ErrorCode || (ErrorCode = {})); function findHeadingBoundary(fileCache, headingPath) { const reversedHeadingPath = [...headingPath].reverse(); const cursorHeadingPath = []; for (const [headingIdx, heading] of fileCache.headings.entries()) { cursorHeadingPath[heading.level] = heading; cursorHeadingPath.splice(heading.level + 1); const reversedCurrentCursor = [ ...cursorHeadingPath.map((h) => h.heading) ].reverse(); let matchesRequestedHeading = true; for (const [idx, element] of reversedHeadingPath.entries()) { if (reversedCurrentCursor[idx] != element) { matchesRequestedHeading = false; break; } } if (matchesRequestedHeading) { const start = heading.position.end; const endHeading = fileCache.headings.slice(headingIdx + 1).find((endHeading2) => endHeading2.level <= heading.level); const end = endHeading == null ? void 0 : endHeading.position.start; return { start, end }; } } return null; } function getSplicePosition(fileLines, heading, insert, ignoreNewLines) { var _a, _b; let splicePosition = insert === false ? (_b = (_a = heading.end) == null ? void 0 : _a.line) != null ? _b : fileLines.length : heading.start.line + 1; if (!ignoreNewLines || insert) { return splicePosition; } while (fileLines[splicePosition - 1] === "") { splicePosition--; } return splicePosition; } function toArrayBuffer(arr) { if (arr instanceof Uint8Array) { return arr.buffer.slice(arr.byteOffset, arr.byteOffset + arr.byteLength); } if (arr instanceof DataView) { return arr.buffer.slice(arr.byteOffset, arr.byteOffset + arr.byteLength); } if (arr instanceof ArrayBuffer) { return arr; } const encoder = new TextEncoder(); return encoder.encode(JSON.stringify(arr)).buffer; } function getCertificateValidityDays(certificate) { return (certificate.validity.notAfter.getTime() - new Date().getTime()) / (1e3 * 3600 * 24); } function getCertificateIsUptoStandards(certificate) { const extension = certificate.getExtension("subjectAltName"); let hasStandardsFlaw = false; if (extension && extension.altNames) { extension.altNames.forEach((altName) => { if (altName.type === 7 && altName.value === "\0\0\0\0") { hasStandardsFlaw = true; } }); } return !hasStandardsFlaw; } var CERT_NAME = "obsidian-local-rest-api.crt"; var DEFAULT_SETTINGS = { port: 27124, insecurePort: 27123, enableInsecureServer: false }; var ERROR_CODE_MESSAGES = { [ErrorCode.ApiKeyAuthorizationRequired]: "Authorization required. Find your API Key in the 'Local REST API' section of your Obsidian settings.", [ErrorCode.ContentTypeSpecificationRequired]: "Content-Type header required; this API accepts data in multiple content-types and you must indicate the content-type of your request body via the Content-Type header.", [ErrorCode.InvalidContentInsertionPositionValue]: "Invalid 'Content-Insertion-Position' header value.", [ErrorCode.InvalidContentForContentType]: "Your request body could not be processed as the content-type specified in your Content-Type header.", [ErrorCode.InvalidHeadingHeader]: "No heading in specified file could be found matching the heading specified in 'Heading' header.", [ErrorCode.MissingHeadingHeader]: "'Heading' header is required for identifying where to insert content.", [ErrorCode.PeriodDoesNotExist]: "Specified period does not exist.", [ErrorCode.PeriodIsNotEnabled]: "Specified period is not enabled.", [ErrorCode.PeriodicNoteDoesNotExist]: "Periodic note does not exist for the specified period.", [ErrorCode.RequestMethodValidOnlyForFiles]: "Request method is valid only for file paths, not directories.", [ErrorCode.TextContentEncodingRequired]: "Incoming content must be text data and have an appropriate text/* Content-type header set (e.g. text/markdown).", [ErrorCode.InvalidFilterQuery]: "The query you provided could not be processed." }; var ContentTypes; (function(ContentTypes2) { ContentTypes2["json"] = "application/json"; ContentTypes2["markdown"] = "text/markdown"; ContentTypes2["olrapiNoteJson"] = "application/vnd.olrapi.note+json"; ContentTypes2["jsonLogic"] = "application/vnd.olrapi.jsonlogic+json"; ContentTypes2["dataviewDql"] = "application/vnd.olrapi.dataview.dql+txt"; })(ContentTypes || (ContentTypes = {})); var DefaultBearerTokenHeaderName = "Authorization"; var DefaultBindingHost = "127.0.0.1"; var LicenseUrl = "https://raw.githubusercontent.com/coddingtonbear/obsidian-local-rest-api/main/LICENSE"; var MaximumRequestSize = "1024mb"; var LocalRestApiPublicApi = class { constructor(router, onUnregister) { this.unregistered = false; this.router = router; this.onUnregister = onUnregister; this.unregistered = false; } addRoute(path2) { if (this.unregistered) { throw new Error("Routes cannot be added after API extension has been unregistered."); } return this.router.route(path2); } unregister() { this.onUnregister(); this.unregistered = true; } }; var RequestHandler = class { constructor(app, manifest, settings) { this.apiExtensions = []; this.app = app; this.manifest = manifest; this.api = (0, import_express.default)(); this.settings = settings; this.apiExtensionRouter = import_express.default.Router(); this.api.set("json spaces", 2); import_json_logic_js.default.add_operation("glob", (pattern, field) => { if (typeof field === "string" && typeof pattern === "string") { const glob = (0, import_glob_to_regexp.default)(pattern); return glob.test(field); } return false; }); import_json_logic_js.default.add_operation("regexp", (pattern, field) => { if (typeof field === "string" && typeof pattern === "string") { const rex = new RegExp(pattern); return rex.test(field); } return false; }); } registerApiExtension(manifest) { let api = void 0; for (const { manifest: existingManifest, api: existingApi } of this.apiExtensions) { if (JSON.stringify(existingManifest) === JSON.stringify(manifest)) { api = existingApi; break; } } if (!api) { const router = import_express.default.Router(); this.apiExtensionRouter.use(router); api = new LocalRestApiPublicApi(router, () => { const idx = this.apiExtensions.findIndex(({ manifest: storedManifest }) => JSON.stringify(manifest) === JSON.stringify(storedManifest)); if (idx !== -1) { this.apiExtensions.splice(idx, 1); this.apiExtensionRouter.stack.splice(idx, 1); } }); this.apiExtensions.push({ manifest, api }); } return api; } requestIsAuthenticated(req) { var _a; const authorizationHeader = req.get((_a = this.settings.authorizationHeaderName) != null ? _a : "Authorization"); if (authorizationHeader === `Bearer ${this.settings.apiKey}`) { return true; } return false; } authenticationMiddleware(req, res, next) { return __async(this, null, function* () { const authenticationExemptRoutes = ["/", `/${CERT_NAME}`]; if (!authenticationExemptRoutes.includes(req.path) && !this.requestIsAuthenticated(req)) { this.returnCannedResponse(res, { errorCode: ErrorCode.ApiKeyAuthorizationRequired }); return; } next(); }); } getFileMetadataObject(file) { return __async(this, null, function* () { var _a, _b, _c; const cache = this.app.metadataCache.getFileCache(file); const frontmatter = __spreadValues({}, (_a = cache.frontmatter) != null ? _a : {}); delete frontmatter.position; const directTags = (_c = ((_b = cache.tags) != null ? _b : []).filter((tag) => tag).map((tag) => tag.tag)) != null ? _c : []; const frontmatterTags = Array.isArray(frontmatter.tags) ? frontmatter.tags : []; const filteredTags = [...frontmatterTags, ...directTags].filter((tag) => tag).map((tag) => tag.toString().replace(/^#/, "")).filter((value, index, self2) => self2.indexOf(value) === index); return { tags: filteredTags, frontmatter, stat: file.stat, path: file.path, content: yield this.app.vault.cachedRead(file) }; }); } getResponseMessage({ statusCode = 400, message: message2, errorCode }) { const errorMessages = []; if (errorCode) { errorMessages.push(ERROR_CODE_MESSAGES[errorCode]); } else { errorMessages.push(import_http.default.STATUS_CODES[statusCode]); } if (message2) { errorMessages.push(message2); } return errorMessages.join("\n"); } getStatusCode({ statusCode, errorCode }) { if (statusCode) { return statusCode; } return Math.floor(errorCode / 100); } returnCannedResponse(res, { statusCode, message: message2, errorCode }) { const response = { message: this.getResponseMessage({ statusCode, message: message2, errorCode }), errorCode: errorCode != null ? errorCode : statusCode * 100 }; res.status(this.getStatusCode({ statusCode, errorCode })).json(response); } root(req, res) { let certificate; try { certificate = import_node_forge.default.pki.certificateFromPem(this.settings.crypto.cert); } catch (e) { } res.status(200).json({ status: "OK", manifest: this.manifest, versions: { obsidian: import_obsidian.apiVersion, self: this.manifest.version }, service: "Obsidian Local REST API", authenticated: this.requestIsAuthenticated(req), certificateInfo: this.requestIsAuthenticated(req) && certificate ? { validityDays: getCertificateValidityDays(certificate), regenerateRecommended: !getCertificateIsUptoStandards(certificate) } : void 0, apiExtensions: this.requestIsAuthenticated(req) ? this.apiExtensions.map(({ manifest }) => manifest) : void 0 }); } _vaultGet(path2, req, res) { return __async(this, null, function* () { if (!path2 || path2.endsWith("/")) { const files = [ ...new Set(this.app.vault.getFiles().map((e) => e.path).filter((filename) => filename.startsWith(path2)).map((filename) => { const subPath = filename.slice(path2.length); if (subPath.indexOf("/") > -1) { return subPath.slice(0, subPath.indexOf("/") + 1); } return subPath; })) ]; files.sort(); if (files.length === 0) { this.returnCannedResponse(res, { statusCode: 404 }); return; } res.json({ files }); } else { const exists = yield this.app.vault.adapter.exists(path2); if (exists && (yield this.app.vault.adapter.stat(path2)).type === "file") { const content = yield this.app.vault.adapter.readBinary(path2); const mimeType = import_mime_types.default.lookup(path2); res.set({ "Content-Disposition": `attachment; filename="${encodeURI(path2).replace(",", "%2C")}"`, "Content-Type": `${mimeType}` + (mimeType == ContentTypes.markdown ? "; charset=utf-8" : "") }); if (req.headers.accept === ContentTypes.olrapiNoteJson) { const file = this.app.vault.getAbstractFileByPath(path2); res.setHeader("Content-Type", ContentTypes.olrapiNoteJson); res.send(JSON.stringify(yield this.getFileMetadataObject(file), null, 2)); return; } res.send(Buffer.from(content)); } else { this.returnCannedResponse(res, { statusCode: 404 }); return; } } }); } vaultGet(req, res) { return __async(this, null, function* () { const path2 = req.params[0]; return this._vaultGet(path2, req, res); }); } _vaultPut(filepath, req, res) { return __async(this, null, function* () { if (!filepath || filepath.endsWith("/")) { this.returnCannedResponse(res, { errorCode: ErrorCode.RequestMethodValidOnlyForFiles }); return; } try { yield this.app.vault.createFolder(import_path.default.dirname(filepath)); } catch (e) { } if (typeof req.body === "string") { yield this.app.vault.adapter.write(filepath, req.body); } else { yield this.app.vault.adapter.writeBinary(filepath, toArrayBuffer(req.body)); } this.returnCannedResponse(res, { statusCode: 204 }); return; }); } vaultPut(req, res) { return __async(this, null, function* () { const path2 = req.params[0]; return this._vaultPut(path2, req, res); }); } _vaultPatch(path2, req, res) { return __async(this, null, function* () { const headingBoundary = req.get("Heading-Boundary") || "::"; const heading = (req.get("Heading") || "").split(headingBoundary).filter(Boolean); const contentPosition = req.get("Content-Insertion-Position"); let insert = false; let aboveNewLine = false; if (!path2 || path2.endsWith("/")) { this.returnCannedResponse(res, { errorCode: ErrorCode.RequestMethodValidOnlyForFiles }); return; } if (contentPosition === void 0) { insert = false; } else if (contentPosition === "beginning") { insert = true; } else if (contentPosition === "end") { insert = false; } else { this.returnCannedResponse(res, { errorCode: ErrorCode.InvalidContentInsertionPositionValue }); return; } if (typeof req.body != "string") { this.returnCannedResponse(res, { errorCode: ErrorCode.TextContentEncodingRequired }); return; } if (typeof req.get("Content-Insertion-Ignore-Newline") == "string") { aboveNewLine = req.get("Content-Insertion-Ignore-Newline").toLowerCase() == "true"; } if (!heading.length) { this.returnCannedResponse(res, { errorCode: ErrorCode.MissingHeadingHeader }); return; } const file = this.app.vault.getAbstractFileByPath(path2); if (!(file instanceof import_obsidian.TFile)) { this.returnCannedResponse(res, { statusCode: 404 }); return; } const cache = this.app.metadataCache.getFileCache(file); const position = findHeadingBoundary(cache, heading); if (!position) { this.returnCannedResponse(res, { errorCode: ErrorCode.InvalidHeadingHeader }); return; } const fileContents = yield this.app.vault.read(file); const fileLines = fileContents.split("\n"); const splicePosition = getSplicePosition(fileLines, position, insert, aboveNewLine); fileLines.splice(splicePosition, 0, req.body); const content = fileLines.join("\n"); yield this.app.vault.adapter.write(path2, content); res.status(200).send(content); }); } vaultPatch(req, res) { return __async(this, null, function* () { const path2 = req.params[0]; return this._vaultPatch(path2, req, res); }); } _vaultPost(filepath, req, res) { return __async(this, null, function* () { if (!filepath || filepath.endsWith("/")) { this.returnCannedResponse(res, { errorCode: ErrorCode.RequestMethodValidOnlyForFiles }); return; } if (typeof req.body != "string") { this.returnCannedResponse(res, { errorCode: ErrorCode.TextContentEncodingRequired }); return; } try { yield this.app.vault.createFolder(import_path.default.dirname(filepath)); } catch (e) { } let fileContents = ""; const file = this.app.vault.getAbstractFileByPath(filepath); if (file instanceof import_obsidian.TFile) { fileContents = yield this.app.vault.read(file); if (!fileContents.endsWith("\n")) { fileContents += "\n"; } } fileContents += req.body; yield this.app.vault.adapter.write(filepath, fileContents); this.returnCannedResponse(res, { statusCode: 204 }); return; }); } vaultPost(req, res) { return __async(this, null, function* () { const path2 = req.params[0]; return this._vaultPost(path2, req, res); }); } _vaultDelete(path2, req, res) { return __async(this, null, function* () { if (!path2 || path2.endsWith("/")) { this.returnCannedResponse(res, { errorCode: ErrorCode.RequestMethodValidOnlyForFiles }); return; } const pathExists = yield this.app.vault.adapter.exists(path2); if (!pathExists) { this.returnCannedResponse(res, { statusCode: 404 }); return; } yield this.app.vault.adapter.remove(path2); this.returnCannedResponse(res, { statusCode: 204 }); return; }); } vaultDelete(req, res) { return __async(this, null, function* () { const path2 = req.params[0]; return this._vaultDelete(path2, req, res); }); } getPeriodicNoteInterface() { return { daily: { settings: import_obsidian_daily_notes_interface.default.getDailyNoteSettings(), loaded: import_obsidian_daily_notes_interface.default.appHasDailyNotesPluginLoaded(), create: import_obsidian_daily_notes_interface.default.createDailyNote, get: import_obsidian_daily_notes_interface.default.getDailyNote, getAll: import_obsidian_daily_notes_interface.default.getAllDailyNotes }, weekly: { settings: import_obsidian_daily_notes_interface.default.getWeeklyNoteSettings(), loaded: import_obsidian_daily_notes_interface.default.appHasWeeklyNotesPluginLoaded(), create: import_obsidian_daily_notes_interface.default.createWeeklyNote, get: import_obsidian_daily_notes_interface.default.getWeeklyNote, getAll: import_obsidian_daily_notes_interface.default.getAllWeeklyNotes }, monthly: { settings: import_obsidian_daily_notes_interface.default.getMonthlyNoteSettings(), loaded: import_obsidian_daily_notes_interface.default.appHasMonthlyNotesPluginLoaded(), create: import_obsidian_daily_notes_interface.default.createMonthlyNote, get: import_obsidian_daily_notes_interface.default.getMonthlyNote, getAll: import_obsidian_daily_notes_interface.default.getAllMonthlyNotes }, quarterly: { settings: import_obsidian_daily_notes_interface.default.getQuarterlyNoteSettings(), loaded: import_obsidian_daily_notes_interface.default.appHasQuarterlyNotesPluginLoaded(), create: import_obsidian_daily_notes_interface.default.createQuarterlyNote, get: import_obsidian_daily_notes_interface.default.getQuarterlyNote, getAll: import_obsidian_daily_notes_interface.default.getAllQuarterlyNotes }, yearly: { settings: import_obsidian_daily_notes_interface.default.getYearlyNoteSettings(), loaded: import_obsidian_daily_notes_interface.default.appHasYearlyNotesPluginLoaded(), create: import_obsidian_daily_notes_interface.default.createYearlyNote, get: import_obsidian_daily_notes_interface.default.getYearlyNote, getAll: import_obsidian_daily_notes_interface.default.getAllYearlyNotes } }; } periodicGetInterface(period) { const periodic = this.getPeriodicNoteInterface(); if (!periodic[period]) { return [null, ErrorCode.PeriodDoesNotExist]; } if (!periodic[period].loaded) { return [null, ErrorCode.PeriodIsNotEnabled]; } return [periodic[period], null]; } periodicGetNote(periodName) { const [period, err] = this.periodicGetInterface(periodName); if (err) { return [null, err]; } const now = window.moment(Date.now()); const all = period.getAll(); const file = period.get(now, all); if (!file) { return [null, ErrorCode.PeriodicNoteDoesNotExist]; } return [file, null]; } periodicGetOrCreateNote(periodName) { return __async(this, null, function* () { const [gottenFile, err] = this.periodicGetNote(periodName); let file = gottenFile; if (err === ErrorCode.PeriodicNoteDoesNotExist) { const [period] = this.periodicGetInterface(periodName); const now = window.moment(Date.now()); file = yield period.create(now); const metadataCachePromise = new Promise((resolve) => { let cache = null; const interval = setInterval(() => { cache = this.app.metadataCache.getFileCache(file); if (cache) { clearInterval(interval); resolve(cache); } }, 100); }); yield metadataCachePromise; } else if (err) { return [null, err]; } return [file, null]; }); } redirectToVaultPath(file, req, res, handler) { const path2 = file.path; res.set("Content-Location", encodeURI(path2)); return handler(path2, req, res); } periodicGet(req, res) { return __async(this, null, function* () { const [file, err] = this.periodicGetNote(req.params.period); if (err) { this.returnCannedResponse(res, { errorCode: err }); return; } return this.redirectToVaultPath(file, req, res, this._vaultGet.bind(this)); }); } periodicPut(req, res) { return __async(this, null, function* () { const [file, err] = yield this.periodicGetOrCreateNote(req.params.period); if (err) { this.returnCannedResponse(res, { errorCode: err }); return; } return this.redirectToVaultPath(file, req, res, this._vaultPut.bind(this)); }); } periodicPost(req, res) { return __async(this, null, function* () { const [file, err] = yield this.periodicGetOrCreateNote(req.params.period); if (err) { this.returnCannedResponse(res, { errorCode: err }); return; } return this.redirectToVaultPath(file, req, res, this._vaultPost.bind(this)); }); } periodicPatch(req, res) { return __async(this, null, function* () { const [file, err] = yield this.periodicGetOrCreateNote(req.params.period); if (err) { this.returnCannedResponse(res, { errorCode: err }); return; } return this.redirectToVaultPath(file, req, res, this._vaultPatch.bind(this)); }); } periodicDelete(req, res) { return __async(this, null, function* () { const [file, err] = this.periodicGetNote(req.params.period); if (err) { this.returnCannedResponse(res, { errorCode: err }); return; } return this.redirectToVaultPath(file, req, res, this._vaultDelete.bind(this)); }); } activeFileGet(req, res) { return __async(this, null, function* () { const file = this.app.workspace.getActiveFile(); return this.redirectToVaultPath(file, req, res, this._vaultGet.bind(this)); }); } activeFilePut(req, res) { return __async(this, null, function* () { const file = this.app.workspace.getActiveFile(); return this.redirectToVaultPath(file, req, res, this._vaultPut.bind(this)); }); } activeFilePost(req, res) { return __async(this, null, function* () { const file = this.app.workspace.getActiveFile(); return this.redirectToVaultPath(file, req, res, this._vaultPost.bind(this)); }); } activeFilePatch(req, res) { return __async(this, null, function* () { const file = this.app.workspace.getActiveFile(); return this.redirectToVaultPath(file, req, res, this._vaultPatch.bind(this)); }); } activeFileDelete(req, res) { return __async(this, null, function* () { const file = this.app.workspace.getActiveFile(); return this.redirectToVaultPath(file, req, res, this._vaultDelete.bind(this)); }); } commandGet(req, res) { return __async(this, null, function* () { const commands = []; for (const commandName in this.app.commands.commands) { commands.push({ id: commandName, name: this.app.commands.commands[commandName].name }); } const commandResponse = { commands }; res.json(commandResponse); }); } commandPost(req, res) { return __async(this, null, function* () { const cmd = this.app.commands.commands[req.params.commandId]; if (!cmd) { this.returnCannedResponse(res, { statusCode: 404 }); return; } try { this.app.commands.executeCommandById(req.params.commandId); } catch (e) { this.returnCannedResponse(res, { statusCode: 500, message: e.message }); return; } this.returnCannedResponse(res, { statusCode: 204 }); return; }); } searchSimplePost(req, res) { return __async(this, null, function* () { var _a; const results = []; const query = req.query.query; const contextLength = (_a = parseInt(req.query.contextLength, 10)) != null ? _a : 100; const search = (0, import_obsidian.prepareSimpleSearch)(query); for (const file of this.app.vault.getMarkdownFiles()) { const cachedContents = yield this.app.vault.cachedRead(file); const result = search(cachedContents); if (result) { const contextMatches = []; for (const match of result.matches) { contextMatches.push({ match: { start: match[0], end: match[1] }, context: cachedContents.slice(Math.max(match[0] - contextLength, 0), match[1] + contextLength) }); } results.push({ filename: file.path, score: result.score, matches: contextMatches }); } } results.sort((a, b) => a.score > b.score ? 1 : -1); res.json(results); }); } valueIsSaneTruthy(value) { if (value === void 0 || value === null) { return false; } else if (Array.isArray(value)) { return value.length > 0; } else if (typeof value === "object") { return Object.keys(value).length > 0; } return Boolean(value); } searchQueryPost(req, res) { return __async(this, null, function* () { const dataviewApi = (0, import_obsidian_dataview.getAPI)(); const handlers = { [ContentTypes.dataviewDql]: () => __async(this, null, function* () { const results = []; const dataviewResults = yield dataviewApi.tryQuery(req.body); const fileColumn = dataviewApi.evaluationContext.settings.tableIdColumnName; if (dataviewResults.type !== "table") { throw new Error("Only TABLE dataview queries are supported."); } if (!dataviewResults.headers.includes(fileColumn)) { throw new Error("TABLE WITHOUT ID queries are not supported."); } for (const dataviewResult of dataviewResults.values) { const fieldValues = {}; dataviewResults.headers.forEach((value, index) => { if (value !== fileColumn) { fieldValues[value] = dataviewResult[index]; } }); results.push({ filename: dataviewResult[0].path, result: fieldValues }); } return results; }), [ContentTypes.jsonLogic]: () => __async(this, null, function* () { const results = []; for (const file of this.app.vault.getMarkdownFiles()) { const fileContext = yield this.getFileMetadataObject(file); try { const fileResult = import_json_logic_js.default.apply(req.body, fileContext); if (this.valueIsSaneTruthy(fileResult)) { results.push({ filename: file.path, result: fileResult }); } } catch (e) { throw new Error(`${e.message} (while processing ${file.path})`); } } return results; }) }; const contentType = req.headers["content-type"]; if (!handlers[contentType]) { this.returnCannedResponse(res, { errorCode: ErrorCode.ContentTypeSpecificationRequired }); return; } try { const results = yield handlers[contentType](); res.json(results); } catch (e) { this.returnCannedResponse(res, { errorCode: ErrorCode.InvalidFilterQuery, message: `${e.message}` }); return; } }); } openPost(req, res) { return __async(this, null, function* () { const path2 = req.params[0]; const query = import_query_string.default.parseUrl(req.originalUrl, { parseBooleans: true }).query; const newLeaf = Boolean(query.newLeaf); this.app.workspace.openLinkText(path2, "/", newLeaf); res.json(); }); } certificateGet(req, res) { return __async(this, null, function* () { res.set("Content-type", `application/octet-stream; filename="${CERT_NAME}"`); res.status(200).send(this.settings.crypto.cert); }); } notFoundHandler(req, res, next) { return __async(this, null, function* () { this.returnCannedResponse(res, { statusCode: 404 }); return; }); } errorHandler(err, req, res, next) { return __async(this, null, function* () { if (err instanceof SyntaxError) { this.returnCannedResponse(res, { errorCode: ErrorCode.InvalidContentForContentType }); return; } this.returnCannedResponse(res, { statusCode: 500, message: err.message }); return; }); } setupRouter() { this.api.use((req, res, next) => { const originalSend = res.send; res.send = function(body, ...args2) { console.log(`[REST API] ${req.method} ${req.url} => ${res.statusCode}`); return originalSend.apply(res, [body, ...args2]); }; next(); }); this.api.use((0, import_response_time.default)()); this.api.use((0, import_cors.default)()); this.api.use(this.authenticationMiddleware.bind(this)); this.api.use(import_body_parser.default.text({ type: "text/*", limit: MaximumRequestSize })); this.api.use(import_body_parser.default.text({ type: ContentTypes.dataviewDql, limit: MaximumRequestSize })); this.api.use(import_body_parser.default.json({ type: ContentTypes.json, limit: MaximumRequestSize })); this.api.use(import_body_parser.default.json({ type: ContentTypes.olrapiNoteJson, limit: MaximumRequestSize })); this.api.use(import_body_parser.default.json({ type: ContentTypes.jsonLogic, limit: MaximumRequestSize })); this.api.use(import_body_parser.default.raw({ type: "*/*", limit: MaximumRequestSize })); this.api.route("/active/").get(this.activeFileGet.bind(this)).put(this.activeFilePut.bind(this)).patch(this.activeFilePatch.bind(this)).post(this.activeFilePost.bind(this)).delete(this.activeFileDelete.bind(this)); this.api.route("/vault/(.*)").get(this.vaultGet.bind(this)).put(this.vaultPut.bind(this)).patch(this.vaultPatch.bind(this)).post(this.vaultPost.bind(this)).delete(this.vaultDelete.bind(this)); this.api.route("/periodic/:period/").get(this.periodicGet.bind(this)).put(this.periodicPut.bind(this)).patch(this.periodicPatch.bind(this)).post(this.periodicPost.bind(this)).delete(this.periodicDelete.bind(this)); this.api.route("/commands/").get(this.commandGet.bind(this)); this.api.route("/commands/:commandId/").post(this.commandPost.bind(this)); this.api.route("/search/").post(this.searchQueryPost.bind(this)); this.api.route("/search/simple/").post(this.searchSimplePost.bind(this)); this.api.route("/open/(.*)").post(this.openPost.bind(this)); this.api.get(`/${CERT_NAME}`, this.certificateGet.bind(this)); this.api.get("/", this.root.bind(this)); this.api.use(this.apiExtensionRouter); this.api.use(this.notFoundHandler.bind(this)); this.api.use(this.errorHandler.bind(this)); } }; var LocalRestApi = class extends import_obsidian2.Plugin { constructor() { super(...arguments); this.secureServer = null; this.insecureServer = null; } onload() { return __async(this, null, function* () { this.refreshServerState = this.debounce(this._refreshServerState.bind(this), 1e3); yield this.loadSettings(); this.requestHandler = new RequestHandler(this.app, this.manifest, this.settings); this.requestHandler.setupRouter(); if (!this.settings.apiKey) { this.settings.apiKey = import_node_forge2.default.md.sha256.create().update(import_node_forge2.default.random.getBytesSync(128)).digest().toHex(); this.saveSettings(); } if (!this.settings.crypto) { const expiry = new Date(); const today = new Date(); expiry.setDate(today.getDate() + 365); const keypair = import_node_forge2.default.pki.rsa.generateKeyPair(2048); const attrs = [ { name: "commonName", value: "Obsidian Local REST API" } ]; const certificate = import_node_forge2.default.pki.createCertificate(); certificate.setIssuer(attrs); certificate.setSubject(attrs); const subjectAltNames = [ { type: 7, ip: DefaultBindingHost } ]; if (this.settings.bindingHost && this.settings.bindingHost !== "0.0.0.0") { subjectAltNames.push({ type: 7, ip: this.settings.bindingHost }); } if (this.settings.subjectAltNames) { for (const name of this.settings.subjectAltNames.split("\n")) { if (name.trim()) { subjectAltNames.push({ type: 2, value: name.trim() }); } } } certificate.setExtensions([ { name: "basicConstraints", cA: true, critical: true }, { name: "keyUsage", keyCertSign: true, digitalSignature: true, nonRepudiation: true, keyEncipherment: false, dataEncipherment: false, critical: true }, { name: "extKeyUsage", serverAuth: true, clientAuth: true, codeSigning: true, emailProtection: true, timeStamping: true }, { name: "nsCertType", client: true, server: true, email: true, objsign: true, sslCA: true, emailCA: true, objCA: true }, { name: "subjectAltName", altNames: subjectAltNames } ]); certificate.serialNumber = "1"; certificate.publicKey = keypair.publicKey; certificate.validity.notAfter = expiry; certificate.validity.notBefore = today; certificate.sign(keypair.privateKey, import_node_forge2.default.md.sha256.create()); this.settings.crypto = { cert: import_node_forge2.pki.certificateToPem(certificate), privateKey: import_node_forge2.pki.privateKeyToPem(keypair.privateKey), publicKey: import_node_forge2.pki.publicKeyToPem(keypair.publicKey) }; this.saveSettings(); } this.addSettingTab(new LocalRestApiSettingTab(this.app, this)); this.refreshServerState(); this.app.workspace.trigger("obsidian-local-rest-api:loaded"); }); } getPublicApi(pluginManifest) { if (!pluginManifest.id || !pluginManifest.name || !pluginManifest.version) { throw new Error("PluginManifest instance must include a defined id, name, and version to be accempted."); } console.log("[REST API] Added new API extension", pluginManifest); return this.requestHandler.registerApiExtension(pluginManifest); } debounce(func, delay) { let debounceTimer; return (...args2) => { clearTimeout(debounceTimer); debounceTimer = setTimeout(() => func(...args2), delay); }; } _refreshServerState() { var _a, _b, _c, _d, _e; if (this.secureServer) { this.secureServer.close(); this.secureServer = null; } if ((_a = this.settings.enableSecureServer) != null ? _a : true) { this.secureServer = https.createServer({ key: this.settings.crypto.privateKey, cert: this.settings.crypto.cert }, this.requestHandler.api); this.secureServer.listen(this.settings.port, (_b = this.settings.bindingHost) != null ? _b : DefaultBindingHost); console.log(`[REST API] Listening on https://${(_c = this.settings.bindingHost) != null ? _c : DefaultBindingHost}:${this.settings.port}/`); } if (this.insecureServer) { this.insecureServer.close(); this.insecureServer = null; } if (this.settings.enableInsecureServer) { this.insecureServer = http2.createServer(this.requestHandler.api); this.insecureServer.listen(this.settings.insecurePort, (_d = this.settings.bindingHost) != null ? _d : DefaultBindingHost); console.log(`[REST API] Listening on http://${(_e = this.settings.bindingHost) != null ? _e : DefaultBindingHost}:${this.settings.insecurePort}/`); } } onunload() { if (this.secureServer) { this.secureServer.close(); } if (this.insecureServer) { this.insecureServer.close(); } } loadSettings() { return __async(this, null, function* () { this.settings = Object.assign({}, DEFAULT_SETTINGS, yield this.loadData()); }); } saveSettings() { return __async(this, null, function* () { yield this.saveData(this.settings); }); } }; var LocalRestApiSettingTab = class extends import_obsidian2.PluginSettingTab { constructor(app, plugin) { super(app, plugin); this.showAdvancedSettings = false; this.plugin = plugin; } display() { var _a; const { containerEl } = this; containerEl.replaceChildren(); const parsedCertificate = import_node_forge2.default.pki.certificateFromPem(this.plugin.settings.crypto.cert); const remainingCertificateValidityDays = getCertificateValidityDays(parsedCertificate); const shouldRegenerateCertificate = !getCertificateIsUptoStandards(parsedCertificate); containerEl.empty(); containerEl.classList.add("obsidian-local-rest-api-settings"); containerEl.createEl("h2", { text: "Local REST API" }); containerEl.createEl("h3", { text: "How to Access" }); const apiKeyDiv = containerEl.createEl("div"); apiKeyDiv.classList.add("api-key-display"); const availableApis = apiKeyDiv.createEl("p"); availableApis.innerHTML = ` You can access Obsidian Local REST API via the following URLs: `; const connectionUrls = apiKeyDiv.createEl("table", { cls: "api-urls" }); const connectionUrlsTbody = connectionUrls.createEl("tbody"); const secureTr = connectionUrlsTbody.createEl("tr", this.plugin.settings.enableSecureServer === false ? { cls: "disabled", title: "Disabled. You can enable this in 'Settings' below." } : { title: "Enabled" }); const secureUrl = `https://127.0.0.1:${this.plugin.settings.port}/`; secureTr.innerHTML = ` ${this.plugin.settings.enableSecureServer === false ? "\u274C" : "\u2705"} Encrypted (HTTPS) API URL

Requires that this certificate be configured as a trusted certificate authority for your browser. See wiki for more information. `; const secureUrlsTd = secureTr.createEl("td", { cls: "url" }); secureUrlsTd.innerHTML = ` ${secureUrl} (copy)
`; if (this.plugin.settings.subjectAltNames) { for (const name of this.plugin.settings.subjectAltNames.split("\n")) { if (name.trim()) { const altSecureUrl = `https://${name.trim()}:${this.plugin.settings.port}/`; secureUrlsTd.innerHTML += ` ${altSecureUrl} (copy)
`; } } } const insecureTr = connectionUrlsTbody.createEl("tr", this.plugin.settings.enableInsecureServer === false ? { cls: "disabled", title: "Disabled. You can enable this in 'Settings' below." } : { title: "Enabled" }); const insecureUrl = `http://127.0.0.1:${this.plugin.settings.insecurePort}/`; insecureTr.innerHTML = ` ${this.plugin.settings.enableInsecureServer === false ? "\u274C" : "\u2705"} Non-encrypted (HTTP) API URL `; const insecureUrlsTd = insecureTr.createEl("td", { cls: "url" }); insecureUrlsTd.innerHTML = ` ${insecureUrl} (copy)
`; if (this.plugin.settings.subjectAltNames) { for (const name of this.plugin.settings.subjectAltNames.split("\n")) { if (name.trim()) { const altSecureUrl = `http://${name.trim()}:${this.plugin.settings.insecurePort}/`; insecureUrlsTd.innerHTML += ` ${altSecureUrl} (copy)
`; } } } const inOrderToAccess = apiKeyDiv.createEl("p"); inOrderToAccess.innerHTML = ` Your API Key must be passed in requests via an authorization header (copy): `; apiKeyDiv.createEl("pre", { text: this.plugin.settings.apiKey }); apiKeyDiv.createEl("p", { text: "For example, the following request will return all notes in the root directory of your vault:" }); apiKeyDiv.createEl("pre", { text: `GET /vault/ HTTP/1.1 ${(_a = this.plugin.settings.authorizationHeaderName) != null ? _a : "Authorization"}: Bearer ${this.plugin.settings.apiKey}` }); const seeMore = apiKeyDiv.createEl("p"); seeMore.innerHTML = ` Comprehensive documentation of what API endpoints are available can be found in the online docs. `; containerEl.createEl("h3", { text: "Settings" }); if (remainingCertificateValidityDays < 0) { const expiredCertDiv = apiKeyDiv.createEl("div"); expiredCertDiv.classList.add("certificate-expired"); expiredCertDiv.innerHTML = ` Your certificate has expired! You must re-generate your certificate below by pressing the "Re-generate Certificates" button below in order to connect securely to this API. `; } else if (remainingCertificateValidityDays < 30) { const soonExpiringCertDiv = apiKeyDiv.createEl("div"); soonExpiringCertDiv.classList.add("certificate-expiring-soon"); soonExpiringCertDiv.innerHTML = ` Your certificate will expire in ${Math.floor(remainingCertificateValidityDays)} day${Math.floor(remainingCertificateValidityDays) === 1 ? "" : "s"}s! You should re-generate your certificate below by pressing the "Re-generate Certificates" button below in order to continue to connect securely to this API. `; } if (shouldRegenerateCertificate) { const shouldRegenerateCertificateDiv = apiKeyDiv.createEl("div"); shouldRegenerateCertificateDiv.classList.add("certificate-regeneration-recommended"); shouldRegenerateCertificateDiv.innerHTML = ` You should re-generate your certificate! Your certificate was generated using earlier standards than are currently used by Obsidian Local REST API. Some systems or tools may not accept your certificate with its current configuration, and re-generating your certificate may improve compatibility with such tools. To re-generate your certificate, press the "Re-generate Certificates" button below. `; } new import_obsidian2.Setting(containerEl).setName("Enable Non-encrypted (HTTP) Server").setDesc("Enables a non-encrypted (HTTP) server on the port designated below. By default this plugin requires a secure HTTPS connection, but in safe environments you may turn on the non-encrypted server to simplify interacting with the API. Interactions with the API will still require the API Key shown above. Under no circumstances is it recommended that you expose this service to the internet, especially if you turn on this feature!").addToggle((cb) => cb.onChange((value) => { const originalValue = this.plugin.settings.enableInsecureServer; this.plugin.settings.enableInsecureServer = value; this.plugin.saveSettings(); this.plugin.refreshServerState(); if (value !== originalValue) { this.display(); } }).setValue(this.plugin.settings.enableInsecureServer)); new import_obsidian2.Setting(containerEl).setName("Reset All Cryptography").setDesc(`Pressing this button will cause your certificate, private key, public key, and API key to be regenerated. This settings panel will be closed when you press this.`).addButton((cb) => { cb.setWarning().setButtonText("Reset All Crypto").onClick(() => { delete this.plugin.settings.apiKey; delete this.plugin.settings.crypto; this.plugin.saveSettings(); this.plugin.unload(); this.plugin.load(); }); }); new import_obsidian2.Setting(containerEl).setName("Re-generate Certificates").setDesc(`Pressing this button will cause your certificate, private key, and public key to be re-generated, but your API key will remain unchanged. This settings panel will be closed when you press this.`).addButton((cb) => { cb.setWarning().setButtonText("Re-generate Certificates").onClick(() => { delete this.plugin.settings.crypto; this.plugin.saveSettings(); this.plugin.unload(); this.plugin.load(); }); }); new import_obsidian2.Setting(containerEl).setName("Restore Default Settings").setDesc(`Pressing this button will reset this plugin's settings to defaults. This settings panel will be closed when you press this.`).addButton((cb) => { cb.setWarning().setButtonText("Restore Defaults").onClick(() => { this.plugin.settings = Object.assign({}, DEFAULT_SETTINGS); this.plugin.saveSettings(); this.plugin.unload(); this.plugin.load(); }); }); new import_obsidian2.Setting(containerEl).setName("Show advanced settings").setDesc(`Advanced settings are dangerous and may make your environment less secure.`).addToggle((cb) => { cb.onChange((value) => { if (this.showAdvancedSettings !== value) { this.showAdvancedSettings = value; this.display(); } }).setValue(this.showAdvancedSettings); }); if (this.showAdvancedSettings) { containerEl.createEl("hr"); containerEl.createEl("h3", { text: "Advanced Settings" }); containerEl.createEl("p", { text: ` The settings below are potentially dangerous and are intended for use only by people who know what they are doing. Do not change any of these settings if you do not understand what that setting is used for and what security impacts changing that setting will have. ` }); const noWarrantee = containerEl.createEl("p"); noWarrantee.createEl("span", { text: ` Use of this software is licensed to you under the MIT license, and it is important that you understand that this license provides you with no warranty. For the complete license text please see ` }); noWarrantee.createEl("a", { href: LicenseUrl, text: LicenseUrl }); noWarrantee.createEl("span", { text: "." }); new import_obsidian2.Setting(containerEl).setName("Enable Encrypted (HTTPs) Server").setDesc(` This controls whether the HTTPs server is enabled. You almost certainly want to leave this switch in its default state ('on'), but may find it useful to turn this switch off for troubleshooting. `).addToggle((cb) => { var _a2; return cb.onChange((value) => { const originalValue = this.plugin.settings.enableSecureServer; this.plugin.settings.enableSecureServer = value; this.plugin.saveSettings(); this.plugin.refreshServerState(); if (value !== originalValue) { this.display(); } }).setValue((_a2 = this.plugin.settings.enableSecureServer) != null ? _a2 : true); }); new import_obsidian2.Setting(containerEl).setName("Encrypted (HTTPS) Server Port").setDesc("This configures the port on which your REST API will listen for HTTPS connections. It is recommended that you leave this port with its default setting as tools integrating with this API may expect the default port to be in use. Under no circumstances is it recommended that you expose this service directly to the internet.").addText((cb) => cb.onChange((value) => { this.plugin.settings.port = parseInt(value, 10); this.plugin.saveSettings(); this.plugin.refreshServerState(); }).setValue(this.plugin.settings.port.toString())); new import_obsidian2.Setting(containerEl).setName("Non-encrypted (HTTP) Server Port").addText((cb) => cb.onChange((value) => { this.plugin.settings.insecurePort = parseInt(value, 10); this.plugin.saveSettings(); this.plugin.refreshServerState(); }).setValue(this.plugin.settings.insecurePort.toString())); new import_obsidian2.Setting(containerEl).setName("API Key").addText((cb) => { cb.onChange((value) => { this.plugin.settings.apiKey = value; this.plugin.saveSettings(); this.plugin.refreshServerState(); }).setValue(this.plugin.settings.apiKey); }); new import_obsidian2.Setting(containerEl).setName("Certificate Hostnames").setDesc(` List of extra hostnames to add to your certificate's \`subjectAltName\` field. One hostname per line. You must click the "Re-generate Certificates" button above after changing this value for this to have an effect. This is useful for situations in which you are accessing Obsidian from a hostname other than the host on which it is running. `).addTextArea((cb) => cb.onChange((value) => { this.plugin.settings.subjectAltNames = value; this.plugin.saveSettings(); }).setValue(this.plugin.settings.subjectAltNames)); new import_obsidian2.Setting(containerEl).setName("Certificate").addTextArea((cb) => cb.onChange((value) => { this.plugin.settings.crypto.cert = value; this.plugin.saveSettings(); this.plugin.refreshServerState(); }).setValue(this.plugin.settings.crypto.cert)); new import_obsidian2.Setting(containerEl).setName("Public Key").addTextArea((cb) => cb.onChange((value) => { this.plugin.settings.crypto.publicKey = value; this.plugin.saveSettings(); this.plugin.refreshServerState(); }).setValue(this.plugin.settings.crypto.publicKey)); new import_obsidian2.Setting(containerEl).setName("Private Key").addTextArea((cb) => cb.onChange((value) => { this.plugin.settings.crypto.privateKey = value; this.plugin.saveSettings(); this.plugin.refreshServerState(); }).setValue(this.plugin.settings.crypto.privateKey)); new import_obsidian2.Setting(containerEl).setName("Authorization Header").addText((cb) => { var _a2; cb.onChange((value) => { if (value !== DefaultBearerTokenHeaderName) { this.plugin.settings.authorizationHeaderName = value; } else { delete this.plugin.settings.authorizationHeaderName; } this.plugin.saveSettings(); this.plugin.refreshServerState(); }).setValue((_a2 = this.plugin.settings.authorizationHeaderName) != null ? _a2 : DefaultBearerTokenHeaderName); }); new import_obsidian2.Setting(containerEl).setName("Binding Host").addText((cb) => { var _a2; cb.onChange((value) => { if (value !== DefaultBindingHost) { this.plugin.settings.bindingHost = value; } else { delete this.plugin.settings.bindingHost; } this.plugin.saveSettings(); this.plugin.refreshServerState(); }).setValue((_a2 = this.plugin.settings.bindingHost) != null ? _a2 : DefaultBindingHost); }); } } }; var getAPI = (app, manifest) => { const plugin = app.plugins.plugins["obsidian-local-rest-api"]; if (plugin) { return plugin.getPublicApi(manifest); } }; } }); // main.ts var main_exports = {}; __export2(main_exports, { default: () => ObsidianLocalRESTAPISecondBrainPlugin }); module.exports = __toCommonJS(main_exports); var import_obsidian3 = require("obsidian"); var import_obsidian_local_rest_api = __toESM(require_main3()); var crypto2 = __toESM(require("crypto")); var DEFAULT_SETTINGS2 = { modelName: "Xenova/all-MiniLM-L6-v2", customModelName: "", cachedModelName: "", returnDiagnosticLogs: false, wikiPurpose: "", allowedPathPatterns: ["^wiki/"], excludedPathPatterns: ["^wiki/index\\.md$", "^wiki/log\\.md$"] }; var ObsidianLocalRESTAPISecondBrainPlugin = class extends import_obsidian3.Plugin { api; settings; extractor = null; hnswIndex = null; embeddingCache = /* @__PURE__ */ new Map(); fileHashMap = /* @__PURE__ */ new Map(); idToPathMap = /* @__PURE__ */ new Map(); initPromise = null; resolvedPluginDir = ""; getPluginDirRelative() { if (this.resolvedPluginDir) { return this.resolvedPluginDir; } return `.obsidian/plugins/${this.manifest.id}`; } async resolvePluginDirectory() { try { const adapter = this.app.vault.adapter; const listResult = await adapter.list(".obsidian/plugins"); for (const folder of listResult.folders) { const manifestPath = `${folder}/manifest.json`; if (await adapter.exists(manifestPath)) { try { const manifestContent = await adapter.read(manifestPath); const manifest = JSON.parse(manifestContent); if (manifest.id === this.manifest.id) { this.resolvedPluginDir = folder.replace(/\\/g, "/"); console.log(`[Second Brain MCP] Successfully resolved plugin directory in vault: ${this.resolvedPluginDir}`); return; } } catch (e) { } } } } catch (err) { console.error("[Second Brain MCP] Failed to auto-resolve plugin directory from vault adapter:", err); } this.resolvedPluginDir = `.obsidian/plugins/${this.manifest.id}`; } async loadSettings() { this.settings = Object.assign({}, DEFAULT_SETTINGS2, await this.loadData()); } async saveSettings() { await this.saveData(this.settings); } isPathAllowed(path) { const normalizedPath = path.replace(/\\/g, "/"); const normalizedPathLower = normalizedPath.toLowerCase(); let isAllowed = !this.settings.allowedPathPatterns || this.settings.allowedPathPatterns.length === 0; if (this.settings.allowedPathPatterns) { for (const pattern of this.settings.allowedPathPatterns) { if (!pattern.trim()) continue; try { const regex = new RegExp(pattern, "i"); if (regex.test(normalizedPath)) { isAllowed = true; break; } } catch (e) { if (normalizedPathLower.includes(pattern.toLowerCase())) { isAllowed = true; break; } } } } if (!isAllowed) { return false; } if (this.settings.excludedPathPatterns) { for (const pattern of this.settings.excludedPathPatterns) { if (!pattern.trim()) continue; try { const regex = new RegExp(pattern, "i"); if (regex.test(normalizedPath)) { return false; } } catch (e) { if (normalizedPathLower.includes(pattern.toLowerCase())) { return false; } } } } return true; } registerRoutes() { this.api = (0, import_obsidian_local_rest_api.getAPI)(this.app, this.manifest); this.api.addRoute("/second-brain-mcp/").get((request, response) => { response.status(200).json({ mcp_server: "second-brain-mcp", status: "running", transport: "Streamable HTTP (stateless)" }); }).post(async (request, response) => { try { let body = request.body; if (typeof body === "string") { body = JSON.parse(body); } else if (Buffer.isBuffer(body)) { body = JSON.parse(body.toString("utf-8")); } if (!body || typeof body !== "object") { return response.status(400).json({ jsonrpc: "2.0", error: { code: -32700, message: "Parse error" }, id: null }); } const { jsonrpc, method, params, id } = body; if (jsonrpc !== "2.0") { return response.status(400).json({ jsonrpc: "2.0", error: { code: -32600, message: "Invalid Request: expected jsonrpc: '2.0'" }, id: id || null }); } switch (method) { case "initialize": { return response.status(200).json({ jsonrpc: "2.0", id, result: { protocolVersion: "2024-11-05", capabilities: { tools: {} }, serverInfo: { name: "second-brain-mcp", version: "1.0.0" } } }); } case "notifications/initialized": { return response.status(204).end(); } case "tools/list": { const purposeSuffix = this.settings.wikiPurpose ? ` (specialized for: ${this.settings.wikiPurpose})` : ""; return response.status(200).json({ jsonrpc: "2.0", id, result: { tools: [ { name: "wiki_card", description: "Retrieve the scope and capabilities of the knowledge contained in this MCP server" + (purposeSuffix ? purposeSuffix + "." : "."), inputSchema: { type: "object", properties: {} } }, { name: "query_wiki", description: "Query the second brain / wiki" + purposeSuffix, inputSchema: { type: "object", properties: { query: { type: "string", description: "The search query to run against the wiki" }, root_limit: { type: "integer", description: "Maximum number of root files that should be included from the search (default: 5, minimum: 1)" }, branch_factor: { type: "integer", description: "Maximum number of connections to traverse per node, ranked by similarity to query (default: 2)" }, depth_limit: { type: "integer", description: "Maximum BFS depth to traverse (0 = root nodes only, 1 = direct connections, etc., default: 2)" }, total_limit: { type: "integer", description: "Strict cap on the total number of unique pages returned (default: 20)" } }, required: ["query"] } }, { name: "get_wiki", description: "Retrieve a specific wiki page by its path or filename" + (purposeSuffix ? purposeSuffix + "." : "."), inputSchema: { type: "object", properties: { path: { type: "string", description: "The path or filename of the wiki note (if the extension or folder paths is omitted, the matching will be based on best effort)" } }, required: ["path"] } } ] } }); } case "tools/call": { if (!params || typeof params !== "object" || params.name !== "query_wiki" && params.name !== "get_wiki" && params.name !== "wiki_card") { return response.status(400).json({ jsonrpc: "2.0", error: { code: -32601, message: `Method not found: ${params?.name || method}` }, id }); } if (params.name === "wiki_card") { const debugLogs2 = []; const logDebug2 = (msg, isError = false) => { if (isError) { console.error(msg); } else { console.log(msg); } debugLogs2.push(msg); }; logDebug2(`[Second Brain MCP] Initiating wiki_card.`); let cardFile = null; const rootCard = this.app.vault.getAbstractFileByPath("wiki-card.md"); if (rootCard instanceof import_obsidian3.TFile) { cardFile = rootCard; } if (!cardFile) { const allFiles = this.app.vault.getMarkdownFiles(); for (const f of allFiles) { if (f.name.toLowerCase() === "wiki-card.md") { cardFile = f; break; } } } if (!cardFile) { const rootChildren = this.app.vault.getRoot().children; for (const child of rootChildren) { if (child instanceof import_obsidian3.TFile) { cardFile = child; break; } } } let yamlResult2 = ""; if (cardFile) { logDebug2(`[Second Brain MCP] Resolved wiki card file: "${cardFile.path}"`); const content = await this.app.vault.cachedRead(cardFile); yamlResult2 += `path: ${cardFile.path.replace(/\\/g, "/")} `; const contentLines = content.split("\n"); yamlResult2 += `content: | `; for (const line of contentLines) { yamlResult2 += ` ${line} `; } } else { logDebug2(`[Second Brain MCP] No wiki-card.md or root file could be found in the vault.`, true); yamlResult2 = `# No wiki card or root file found `; } if (this.settings.returnDiagnosticLogs) { yamlResult2 += "\n# Diagnostic Logs:\n"; for (const log2 of debugLogs2) { yamlResult2 += `# - ${log2.replace(/\n/g, "\n# ")} `; } } return response.status(200).json({ jsonrpc: "2.0", id, result: { content: [ { type: "text", text: yamlResult2 } ] } }); } if (params.name === "get_wiki") { const pathInput = params.arguments?.path; if (typeof pathInput !== "string") { return response.status(400).json({ jsonrpc: "2.0", error: { code: -32602, message: "Invalid params: path must be a string" }, id }); } const debugLogs2 = []; const logDebug2 = (msg, isError = false) => { if (isError) { console.error(msg); } else { console.log(msg); } debugLogs2.push(msg); }; logDebug2(`[Second Brain MCP] Initiating get_wiki. Path input: "${pathInput}"`); const file = this.resolveWikiFile(pathInput); if (!file) { logDebug2(`[Second Brain MCP] Wiki file not found for path input: "${pathInput}"`, true); let errorYaml = `# Wiki page not found: ${pathInput} `; if (this.settings.returnDiagnosticLogs) { errorYaml += "\n# Diagnostic Logs:\n"; for (const log2 of debugLogs2) { errorYaml += `# - ${log2.replace(/\n/g, "\n# ")} `; } } return response.status(200).json({ jsonrpc: "2.0", id, result: { content: [ { type: "text", text: errorYaml } ] } }); } logDebug2(`[Second Brain MCP] Successfully resolved wiki file: "${file.path}"`); const fileContent = await this.app.vault.cachedRead(file); let yamlResult2 = `path: ${file.path.replace(/\\/g, "/")} `; const contentLines = fileContent.split("\n"); yamlResult2 += `content: | `; for (const line of contentLines) { yamlResult2 += ` ${line} `; } if (this.settings.returnDiagnosticLogs) { yamlResult2 += "\n# Diagnostic Logs:\n"; for (const log2 of debugLogs2) { yamlResult2 += `# - ${log2.replace(/\n/g, "\n# ")} `; } } return response.status(200).json({ jsonrpc: "2.0", id, result: { content: [ { type: "text", text: yamlResult2 } ] } }); } const query = params.arguments?.query; let root_limit = typeof params.arguments?.root_limit === "number" ? params.arguments.root_limit : 5; let branch_factor = typeof params.arguments?.branch_factor === "number" ? params.arguments.branch_factor : 2; let depth_limit = typeof params.arguments?.depth_limit === "number" ? params.arguments.depth_limit : 2; let total_limit = typeof params.arguments?.total_limit === "number" ? params.arguments.total_limit : 20; root_limit = Math.max(1, root_limit); branch_factor = Math.max(0, branch_factor); depth_limit = Math.max(0, depth_limit); total_limit = Math.max(1, total_limit); if (typeof query !== "string") { return response.status(400).json({ jsonrpc: "2.0", error: { code: -32602, message: "Invalid params: query must be a string" }, id }); } const debugLogs = []; const logDebug = (msg, isError = false) => { if (isError) { console.error(msg); } else { console.log(msg); } debugLogs.push(msg); }; logDebug(`[Second Brain MCP] Initiating query_wiki. Query: "${query}", root_limit: ${root_limit}, branch_factor: ${branch_factor}, depth_limit: ${depth_limit}, total_limit: ${total_limit}`); let searchEngineReady = false; try { await this.initializeSearchEngine(logDebug); searchEngineReady = true; } catch (err) { logDebug(`[Second Brain MCP] Failed to initialize semantic search engine. Error: ${err}`, true); } logDebug(`[Second Brain MCP] Search engine status: searchEngineReady = ${searchEngineReady}, cacheSize = ${this.embeddingCache.size}, hasHnswIndex = ${!!this.hnswIndex}`); let queryEmbedding = []; if (searchEngineReady) { try { queryEmbedding = await this.generateEmbedding(query); logDebug(`[Second Brain MCP] Generated query embedding. Length: ${queryEmbedding.length}`); } catch (err) { logDebug(`[Second Brain MCP] Error generating query embedding: ${err}`, true); } } const matchedRoots = []; if (searchEngineReady && this.hnswIndex && queryEmbedding.length > 0) { logDebug(`[Second Brain MCP] Running HNSW vector search with root_limit = ${root_limit}`); const searchResults = this.hnswIndex.searchKNN(queryEmbedding, root_limit); logDebug(`[Second Brain MCP] HNSW raw search results (count: ${searchResults.length}): ${JSON.stringify(searchResults)}`); for (const res of searchResults) { const path = this.idToPathMap.get(res.id); if (path) { const file = this.app.vault.getAbstractFileByPath(path); if (file instanceof import_obsidian3.TFile) { matchedRoots.push(file); } } } logDebug(`[Second Brain MCP] HNSW search matched ${matchedRoots.length} root nodes.`); } else { logDebug("[Second Brain MCP] HNSW Index or Query Embedding not ready, search returning 0 matches.", true); } const queue = []; const visited = /* @__PURE__ */ new Set(); const queued = /* @__PURE__ */ new Set(); for (const file of matchedRoots) { const normPath = file.path.replace(/\\/g, "/"); if (!queued.has(normPath)) { queued.add(normPath); queue.push({ file, depth: 0 }); } } const traversedItems = []; while (queue.length > 0 && traversedItems.length < total_limit) { const currentNode = queue.shift(); const normPath = currentNode.file.path.replace(/\\/g, "/"); if (visited.has(normPath)) { continue; } visited.add(normPath); let fileContent = ""; try { fileContent = await this.app.vault.cachedRead(currentNode.file); } catch (err) { logDebug(`[Second Brain MCP] Failed to read file ${normPath}: ${err}`, true); continue; } const resolvedLinks = this.app.metadataCache.resolvedLinks; const outgoingPaths = Object.keys(resolvedLinks[currentNode.file.path] || {}); const backlinkPaths = []; for (const [sourcePath, destinations] of Object.entries(resolvedLinks)) { if (destinations[currentNode.file.path]) { backlinkPaths.push(sourcePath); } } const uniqueConnPaths = Array.from(/* @__PURE__ */ new Set([...outgoingPaths, ...backlinkPaths])); const validConnFiles = []; for (const connPath of uniqueConnPaths) { const normalizedConnPath = connPath.replace(/\\/g, "/"); const normalizedConnPathLower = normalizedConnPath.toLowerCase(); if (!this.isPathAllowed(connPath)) { continue; } const connFile = this.app.vault.getAbstractFileByPath(connPath); if (connFile instanceof import_obsidian3.TFile) { validConnFiles.push(connFile); } } let selectedConns = []; if (validConnFiles.length > 0) { if (searchEngineReady && queryEmbedding.length > 0) { const scoredConns = await Promise.all( validConnFiles.map(async (connFile) => { const normalizedConnPath = connFile.path.replace(/\\/g, "/"); let connEmbedding = this.embeddingCache.get(normalizedConnPath); if (!connEmbedding) { try { const connContent = await this.app.vault.cachedRead(connFile); const strippedConn = stripFrontmatter(connContent); connEmbedding = await this.generateEmbedding(strippedConn); this.embeddingCache.set(normalizedConnPath, connEmbedding); } catch (err) { connEmbedding = new Array(queryEmbedding.length).fill(0); } } const score = dotProduct(queryEmbedding, connEmbedding); return { connFile, score }; }) ); scoredConns.sort((a, b) => b.score - a.score); selectedConns = scoredConns.slice(0, branch_factor).map((item) => item.connFile); } else { selectedConns = validConnFiles.slice(0, branch_factor); } } if (currentNode.depth < depth_limit) { for (const childFile of selectedConns) { const childNormPath = childFile.path.replace(/\\/g, "/"); if (!visited.has(childNormPath) && !queued.has(childNormPath)) { queued.add(childNormPath); queue.push({ file: childFile, depth: currentNode.depth + 1 }); } } } const connections = []; for (const connFile of selectedConns) { try { const connContent = await this.app.vault.cachedRead(connFile); connections.push({ path: connFile.path.replace(/\\/g, "/"), content: connContent }); } catch (err) { } } traversedItems.push({ path: normPath, content: fileContent, connections }); } logDebug(`[Second Brain MCP] BFS Traversal complete. Total matched unique files: ${traversedItems.length}`); let yamlResult = ""; for (const item of traversedItems) { yamlResult += `- path: ${item.path} `; const contentLines = item.content.split("\n"); yamlResult += ` content: | `; for (const line of contentLines) { yamlResult += ` ${line} `; } if (item.connections.length > 0) { yamlResult += ` connections: `; for (const conn of item.connections) { yamlResult += ` - path: ${conn.path} `; const connLines = conn.content.split("\n"); yamlResult += ` content: | `; for (const line of connLines) { yamlResult += ` ${line} `; } } } } if (yamlResult === "") { yamlResult = "# No matching files found\n"; } if (this.settings.returnDiagnosticLogs) { yamlResult += "\n# Diagnostic Logs:\n"; for (const log2 of debugLogs) { yamlResult += `# - ${log2.replace(/\n/g, "\n# ")} `; } } return response.status(200).json({ jsonrpc: "2.0", id, result: { content: [ { type: "text", text: yamlResult } ] } }); } case "ping": { return response.status(200).json({ jsonrpc: "2.0", id, result: {} }); } default: { if (method.endsWith("/list")) { return response.status(200).json({ jsonrpc: "2.0", id, result: { [method.split("/")[0]]: [] } }); } return response.status(404).json({ jsonrpc: "2.0", error: { code: -32601, message: `Method not found: ${method}` }, id }); } } } catch (error) { console.error("MCP Server Error:", error); return response.status(500).json({ jsonrpc: "2.0", error: { code: -32603, message: error instanceof Error ? error.message : "Internal error" }, id: null }); } }); } // // // // // Everything below this point can be left as it is -- this is just // setting up machinery to properly register your routes with // Obsidian Local REST API // // // // async onload() { await this.loadSettings(); await this.resolvePluginDirectory(); this.addSettingTab(new ObsidianLocalRESTAPISecondBrainSettingsTab(this.app, this)); this.initializeSearchEngine().catch((err) => { console.error("[Second Brain MCP] Initial search engine startup failed:", err); }); if (this.app.plugins.enabledPlugins.has("obsidian-local-rest-api")) { this.registerRoutes(); } this.registerEvent( this.app.workspace.on( "obsidian-local-rest-api:loaded", this.registerRoutes.bind(this) ) ); this.registerEvent( this.app.vault.on("modify", async (file) => { if (file instanceof import_obsidian3.TFile) { await this.updateFileEmbedding(file); } }) ); this.registerEvent( this.app.vault.on("delete", async (file) => { await this.onFileDeleted(file.path); }) ); } onunload() { if (this.api) { this.api.unregister(); } } async reinitializeSearchEngine() { this.extractor = null; this.hnswIndex = null; this.embeddingCache.clear(); this.fileHashMap.clear(); this.idToPathMap.clear(); this.initPromise = null; this.settings.cachedModelName = ""; await this.saveSettings(); await this.initializeSearchEngine(); } async initializeSearchEngine(logFn) { const localLog = logFn || ((msg, isError) => isError ? console.error(msg) : console.log(msg)); if (this.initPromise) { return this.initPromise; } this.initPromise = (async () => { try { let modelToLoad = this.settings.cachedModelName; if (!modelToLoad) { modelToLoad = this.settings.modelName === "custom" ? this.settings.customModelName : this.settings.modelName; } if (!modelToLoad) { localLog("[Second Brain MCP] No embedding model configured yet."); return; } localLog(`[Second Brain MCP] Initializing search engine with model: ${modelToLoad}`); localLog(`[Second Brain MCP] Requiring @huggingface/transformers`); let tfModule; try { tfModule = require_transformers_node(); } catch (reqErr) { if (false) { const path = null; const basePath2 = this.app.vault.adapter.getBasePath(); const pluginDir = this.manifest.dir; const modulePath = path.join(basePath2, pluginDir, "node_modules", "@huggingface", "transformers"); localLog(`[Second Brain MCP] Failed to require by module name. Trying absolute path: ${modulePath}`); tfModule = require(modulePath); } else { throw reqErr; } } localLog(`[Second Brain MCP] tfModule keys: ${Object.keys(tfModule).join(", ")}`); const pipeline = tfModule.pipeline || tfModule.default?.pipeline; const env = tfModule.env || tfModule.default?.env; if (!pipeline) { throw new Error("Failed to resolve 'pipeline' from @huggingface/transformers module."); } if (env) { try { env.allowLocalModels = false; if (env.backends?.onnx?.wasm) { } localLog("[Second Brain MCP] Transformers env successfully configured."); } catch (envErr) { localLog(`[Second Brain MCP] Warning configuring Transformers env: ${envErr}`, true); } } else { localLog("[Second Brain MCP] Warning: 'env' object not found in @huggingface/transformers module, skipping environment override.", true); } if (false) { localLog(`[Second Brain MCP] Initializing pipeline in Native Multi-Core mode...`); } else { localLog(`[Second Brain MCP] Initializing pipeline in Pure JS Compatibility mode (Single Core)...`); } this.extractor = await pipeline("feature-extraction", modelToLoad, { device: "cpu" }); localLog("[Second Brain MCP] Transformer model loaded successfully."); await this.indexAllFiles(logFn); this.settings.cachedModelName = modelToLoad; await this.saveSettings(); localLog("[Second Brain MCP] Search engine initialization complete."); } catch (err) { localLog(`[Second Brain MCP] Failed to initialize search engine: ${err}`, true); this.initPromise = null; throw err; } })(); return this.initPromise; } async indexAllFiles(logFn) { const localLog = logFn || ((msg, isError) => isError ? console.error(msg) : console.log(msg)); const allFiles = this.app.vault.getMarkdownFiles(); this.embeddingCache.clear(); this.fileHashMap.clear(); localLog(`[Second Brain MCP] Indexing all ${allFiles.length} files in the vault.`); const diskCache = await this.loadEmbeddingCache(); let cacheHitCount = 0; let cacheMissCount = 0; for (const file of allFiles) { const normalizedPath = file.path.replace(/\\/g, "/"); const normalizedPathLower = normalizedPath.toLowerCase(); if (!this.isPathAllowed(file.path)) { continue; } try { const content = await this.app.vault.cachedRead(file); const stripped = stripFrontmatter(content); const fileHash = crypto2.createHash("md5").update(stripped).digest("hex"); if (diskCache && diskCache[normalizedPath] && diskCache[normalizedPath].hash === fileHash) { this.embeddingCache.set(normalizedPath, diskCache[normalizedPath].vector); this.fileHashMap.set(normalizedPath, fileHash); cacheHitCount++; continue; } const embedding = await this.generateEmbedding(stripped); this.embeddingCache.set(normalizedPath, embedding); this.fileHashMap.set(normalizedPath, fileHash); cacheMissCount++; } catch (err) { localLog(`[Second Brain MCP] Error indexing file ${file.path}: ${err}`, true); } } localLog(`[Second Brain MCP] Vault indexing finished. Cache hits: ${cacheHitCount}, Cache misses (recalculated): ${cacheMissCount}.`); await this.rebuildHNSWIndex(logFn); if (cacheMissCount > 0) { await this.saveEmbeddingCache(); } } async generateEmbedding(text) { if (!this.extractor) { throw new Error("Extractor is not initialized"); } const queryText = text.trim() === "" ? "empty" : text; const output = await this.extractor(queryText, { pooling: "mean", normalize: true }); return Array.from(output.data); } async rebuildHNSWIndex(logFn) { const localLog = logFn || ((msg, isError) => isError ? console.error(msg) : console.log(msg)); this.idToPathMap.clear(); const HNSWClass = (await Promise.resolve().then(() => __toESM(require_dist2()))).HNSW; let dimension = 384; if (this.embeddingCache.size > 0) { const firstVal = this.embeddingCache.values().next().value; if (firstVal) { dimension = firstVal.length; } } this.hnswIndex = new HNSWClass(16, 200, dimension, "cosine", 50); const data = []; let indexCounter = 0; for (const [path, vector] of this.embeddingCache.entries()) { const id = indexCounter++; this.idToPathMap.set(id, path); data.push({ id, vector }); } if (data.length > 0) { await this.hnswIndex.buildIndex(data); } localLog(`[Second Brain MCP] HNSW Index rebuilt with ${data.length} documents.`); } async updateFileEmbedding(file) { const normalizedPath = file.path.replace(/\\/g, "/"); const normalizedPathLower = normalizedPath.toLowerCase(); if (!this.isPathAllowed(file.path)) { return; } try { if (!this.extractor) return; const content = await this.app.vault.cachedRead(file); const stripped = stripFrontmatter(content); const fileHash = crypto2.createHash("md5").update(stripped).digest("hex"); if (this.fileHashMap.get(normalizedPath) === fileHash) { return; } const embedding = await this.generateEmbedding(stripped); this.embeddingCache.set(normalizedPath, embedding); this.fileHashMap.set(normalizedPath, fileHash); await this.rebuildHNSWIndex(); await this.saveEmbeddingCache(); } catch (err) { console.error(`[Second Brain MCP] Error updating embedding for ${file.path}:`, err); } } async onFileDeleted(path) { const normalizedPath = path.replace(/\\/g, "/"); if (this.embeddingCache.delete(normalizedPath)) { await this.rebuildHNSWIndex(); await this.saveEmbeddingCache(); } } async loadEmbeddingCache() { const cachePath = `${this.getPluginDirRelative()}/embeddings-cache.json`; const adapter = this.app.vault.adapter; if (!await adapter.exists(cachePath)) { return null; } try { const cacheContent = await adapter.read(cachePath); const parsed = JSON.parse(cacheContent); const modelToLoad = this.settings.modelName === "custom" ? this.settings.customModelName : this.settings.modelName; if (parsed.modelName === modelToLoad && parsed.embeddings) { return parsed.embeddings; } } catch (err) { console.error("[Second Brain MCP] Failed to load embeddings cache from disk:", err); } return null; } async saveEmbeddingCache() { const cachePath = `${this.getPluginDirRelative()}/embeddings-cache.json`; const adapter = this.app.vault.adapter; const modelToLoad = this.settings.modelName === "custom" ? this.settings.customModelName : this.settings.modelName; const serializedEmbeddings = {}; for (const [path, vector] of this.embeddingCache.entries()) { const hash = this.fileHashMap.get(path) || ""; serializedEmbeddings[path] = { hash, vector }; } try { const payload = { modelName: modelToLoad, embeddings: serializedEmbeddings }; await adapter.write(cachePath, JSON.stringify(payload, null, 2)); } catch (err) { console.error("[Second Brain MCP] Failed to save embeddings cache to disk:", err); } } resolveWikiFile(pathInput) { const normalizedInput = pathInput.replace(/\\/g, "/"); let file = this.app.metadataCache.getFirstLinkpathDest(normalizedInput, ""); if (file instanceof import_obsidian3.TFile) return file; let abstractFile = this.app.vault.getAbstractFileByPath(normalizedInput); if (abstractFile instanceof import_obsidian3.TFile) return abstractFile; abstractFile = this.app.vault.getAbstractFileByPath(normalizedInput + ".md"); if (abstractFile instanceof import_obsidian3.TFile) return abstractFile; const allMarkdown = this.app.vault.getMarkdownFiles(); const inputLower = normalizedInput.toLowerCase(); const inputLowerNoExt = inputLower.endsWith(".md") ? inputLower.slice(0, -3) : inputLower; for (const f of allMarkdown) { const fPathLower = f.path.replace(/\\/g, "/").toLowerCase(); const fPathLowerNoExt = fPathLower.endsWith(".md") ? fPathLower.slice(0, -3) : fPathLower; if (fPathLower === inputLower || fPathLowerNoExt === inputLowerNoExt) { return f; } if (fPathLower.endsWith("/" + inputLower) || fPathLowerNoExt.endsWith("/" + inputLowerNoExt)) { return f; } } const inputFilename = normalizedInput.substring(normalizedInput.lastIndexOf("/") + 1).toLowerCase(); const inputFilenameNoExt = inputFilename.endsWith(".md") ? inputFilename.slice(0, -3) : inputFilename; for (const f of allMarkdown) { const fNameLower = f.name.toLowerCase(); const fNameLowerNoExt = fNameLower.endsWith(".md") ? fNameLower.slice(0, -3) : fNameLower; if (fNameLower === inputFilename || fNameLowerNoExt === inputFilenameNoExt) { return f; } } return null; } }; var ObsidianLocalRESTAPISecondBrainSettingsTab = class extends import_obsidian3.PluginSettingTab { plugin; constructor(app, plugin) { super(app, plugin); this.plugin = plugin; } display() { const { containerEl } = this; containerEl.empty(); containerEl.createEl("h2", { text: "Second Brain MCP" }); const desc = containerEl.createEl("p", { text: 'This is a plugin for the Obsidian Local REST API plugin (you could call it a meta-plugin). While it was originally developed to complement the "Second Brain" idea, it has grown beyond that scope and is now a general-purpose wiki-querying MCP server. It uses semantic search to find relevant notes and a BFS search of the graph to find connected notes.' }); desc.style.lineHeight = "2"; desc.style.textWrap = "pretty"; desc.style.backgroundColor = "var(--background-secondary-alt)"; desc.style.border = "1px solid var(--background-modifier-border)"; desc.style.borderRadius = "8px"; desc.style.padding = "18px"; desc.style.marginTop = "24px"; desc.style.marginBottom = "24px"; containerEl.createEl("h2", { text: "General Settings" }); new import_obsidian3.Setting(containerEl).setName("Wiki Purpose / Knowledge Domain").setDesc("A brief sentence or phrase describing the knowledge domain of this wiki (e.g. 'Software Engineering Knowledge Base'). This is dynamically injected into the MCP tool descriptions so the LLM knows what specific knowledge is hosted here.").addText( (text) => text.setPlaceholder("e.g. Software Engineering Knowledge Base").setValue(this.plugin.settings.wikiPurpose).onChange(async (value) => { this.plugin.settings.wikiPurpose = value.trim(); configUpdaters.forEach((updater) => updater()); await this.plugin.saveSettings(); }) ); const modelSettingsWrapper = containerEl.createDiv(); modelSettingsWrapper.style.border = "1px solid var(--background-modifier-border)"; modelSettingsWrapper.style.borderRadius = "8px"; modelSettingsWrapper.style.padding = "18px"; modelSettingsWrapper.style.marginTop = "24px"; modelSettingsWrapper.style.marginBottom = "24px"; new import_obsidian3.Setting(modelSettingsWrapper).setName("Embedding Model").setDesc("Select the local model used to generate embeddings for semantic search.").addDropdown( (dropdown) => dropdown.addOption("Xenova/all-MiniLM-L6-v2", "all-MiniLM-L6-v2 (Light, 384 dim)").addOption("Xenova/bge-small-en-v1.5", "bge-small-en-v1.5 (High Accuracy English, 384 dim)").addOption("nomic-ai/nomic-embed-text-v1.5", "nomic-embed-text-v1.5 (Large Context, 768 dim)").addOption("custom", "Custom Model Path (Specify Below)").setValue(this.plugin.settings.modelName).onChange(async (value) => { this.plugin.settings.modelName = value; await this.plugin.saveSettings(); this.display(); }) ); if (this.plugin.settings.modelName === "custom") { new import_obsidian3.Setting(modelSettingsWrapper).setName("Custom Model Path").setDesc("Enter the Hugging Face model path (e.g. Xenova/all-MiniLM-L6-v2).").addText( (text) => text.setPlaceholder("Enter model path").setValue(this.plugin.settings.customModelName).onChange(async (value) => { this.plugin.settings.customModelName = value.trim(); }) ).addButton( (button) => button.setButtonText("Apply").setCta().onClick(async () => { await this.plugin.saveSettings(); this.display(); }) ); } const currentModelToLoad = this.plugin.settings.modelName === "custom" ? this.plugin.settings.customModelName : this.plugin.settings.modelName; if (this.plugin.settings.cachedModelName && currentModelToLoad && currentModelToLoad !== this.plugin.settings.cachedModelName) { const warningNote = modelSettingsWrapper.createEl("div", { text: "Warning: The selected model is different from the one currently running and cached. You must click 'Clear Cache' below to apply your new model selection." }); warningNote.style.lineHeight = "2"; warningNote.style.textWrap = "pretty"; warningNote.style.backgroundColor = "var(--background-secondary-alt)"; warningNote.style.border = "1px solid var(--text-error)"; warningNote.style.borderRadius = "8px"; warningNote.style.padding = "18px"; warningNote.style.marginTop = "24px"; warningNote.style.marginBottom = "24px"; warningNote.style.color = "var(--text-error)"; } new import_obsidian3.Setting(containerEl).setName("Return Diagnostic Logs").setDesc("Include detailed execution logs in the tool response (used for debugging).").addToggle( (toggle) => toggle.setValue(this.plugin.settings.returnDiagnosticLogs).onChange(async (value) => { this.plugin.settings.returnDiagnosticLogs = value; await this.plugin.saveSettings(); }) ); const configUpdaters = []; const parentPlugin = this.app.plugins.plugins["obsidian-local-rest-api"]; if (parentPlugin && parentPlugin.settings) { const parentSettings = parentPlugin.settings; const authHeaderName = parentSettings.authorizationHeaderName || "Authorization"; const apiKey = parentSettings.apiKey || "API_KEY_NOT_FOUND"; const createConfigJson = (url, currentWikiPurpose) => { let mcpKey = currentWikiPurpose.trim(); if (!mcpKey) { mcpKey = "Obsidian MCP"; } return JSON.stringify({ mcpServers: { [mcpKey]: { url, transport: "http", headers: { [authHeaderName]: `Bearer ${apiKey}` } } } }, null, 2); }; const renderConfigCodeBlock = (title, url) => { containerEl.createEl("h3", { text: title }); let currentConfigStr = createConfigJson(url, this.plugin.settings.wikiPurpose); const wrapper = containerEl.createDiv(); wrapper.style.position = "relative"; wrapper.style.marginBottom = "24px"; wrapper.style.backgroundColor = "var(--background-secondary)"; wrapper.style.border = "1px solid var(--background-modifier-border)"; wrapper.style.borderRadius = "8px"; wrapper.style.padding = "16px"; wrapper.style.paddingTop = "36px"; const pre = wrapper.createEl("pre"); pre.style.margin = "0"; pre.style.whiteSpace = "pre-wrap"; const code = pre.createEl("code", { text: currentConfigStr }); code.style.fontFamily = "var(--font-monospace)"; code.style.fontSize = "0.9em"; code.style.userSelect = "all"; const copyBtn = wrapper.createEl("button", { text: "Copy" }); copyBtn.style.position = "absolute"; copyBtn.style.top = "8px"; copyBtn.style.right = "8px"; copyBtn.addEventListener("click", async () => { await navigator.clipboard.writeText(currentConfigStr); copyBtn.innerText = "Copied!"; setTimeout(() => { copyBtn.innerText = "Copy"; }, 2e3); }); configUpdaters.push(() => { currentConfigStr = createConfigJson(url, this.plugin.settings.wikiPurpose); code.innerText = currentConfigStr; }); }; if (parentSettings.enableSecureServer !== false) { const port = parentSettings.port || 27124; renderConfigCodeBlock("MCP Configuration (Encrypted / HTTPS)", `https://127.0.0.1:${port}/second-brain-mcp/`); } if (parentSettings.enableInsecureServer) { const port = parentSettings.insecurePort || 27123; renderConfigCodeBlock("MCP Configuration (Non-encrypted / HTTP)", `http://127.0.0.1:${port}/second-brain-mcp/`); } } const pathSettingsWrapper = containerEl.createDiv(); pathSettingsWrapper.style.border = "1px solid var(--background-modifier-border)"; pathSettingsWrapper.style.borderRadius = "8px"; pathSettingsWrapper.style.padding = "18px"; pathSettingsWrapper.style.marginTop = "24px"; pathSettingsWrapper.style.marginBottom = "24px"; const pathFilteringHeader = pathSettingsWrapper.createEl("h2", { text: "Path & Filtering Settings" }); pathFilteringHeader.style.marginTop = "0"; const pathFilteringDesc = pathSettingsWrapper.createEl("p", { text: "Configure regular expressions or prefixes to specify which notes are included or excluded from your search index." }); pathFilteringDesc.style.fontSize = "0.9em"; pathFilteringDesc.style.color = "var(--text-muted)"; pathFilteringDesc.style.marginBottom = "16px"; const renderPatternList = (container, title, desc2, patternsList, placeholder, saveCallback) => { const titleEl = container.createEl("h3", { text: title }); titleEl.style.marginTop = "18px"; titleEl.style.marginBottom = "4px"; const descEl = container.createEl("p", { text: desc2 }); descEl.style.fontSize = "0.85em"; descEl.style.color = "var(--text-muted)"; descEl.style.marginBottom = "12px"; descEl.style.marginTop = "0"; descEl.style.display = "block"; const listWrapper = container.createDiv(); listWrapper.style.display = "flex"; listWrapper.style.flexDirection = "column"; listWrapper.style.gap = "8px"; listWrapper.style.marginBottom = "12px"; listWrapper.style.margin = "12px"; patternsList.forEach((pattern, index) => { const row = listWrapper.createDiv(); row.style.display = "flex"; row.style.gap = "8px"; row.style.alignItems = "center"; const inputEl = row.createEl("input", { type: "text", value: pattern, placeholder }); inputEl.style.flexGrow = "1"; inputEl.style.fontFamily = "var(--font-monospace)"; inputEl.style.minWidth = "0"; inputEl.addEventListener("change", async (e) => { patternsList[index] = e.target.value.trim(); await saveCallback(); }); const removeBtn = row.createEl("button", { text: "Remove" }); removeBtn.style.cursor = "pointer"; removeBtn.addClass("mod-warning"); removeBtn.addEventListener("click", async () => { patternsList.splice(index, 1); await saveCallback(); this.display(); }); }); const addRow = container.createDiv(); const addBtn = addRow.createEl("button", { text: "+ Add Pattern" }); addBtn.style.cursor = "pointer"; addBtn.addEventListener("click", async () => { patternsList.push(""); await saveCallback(); this.display(); }); }; renderPatternList( pathSettingsWrapper, "Allowed Path Patterns", "Regular expressions matching paths that are ALLOWED to be indexed. Leave empty to allow all paths. (Default: '^wiki/')", this.plugin.settings.allowedPathPatterns, "e.g. ^wiki/", async () => { await this.plugin.saveSettings(); } ); renderPatternList( pathSettingsWrapper, "Excluded Path Patterns", "Regular expressions matching paths that are EXCLUDED from the index. (Default: '^wiki/index\\.md$', '^wiki/log\\.md$')", this.plugin.settings.excludedPathPatterns, "e.g. ^wiki/index\\.md$", async () => { await this.plugin.saveSettings(); } ); const noteEl = pathSettingsWrapper.createEl("div", { text: "Note: Changing these filters alters which files are indexed. To apply changes immediately, use the 'Clear Cache' button below to trigger a full re-index." }); noteEl.style.marginTop = "14px"; noteEl.style.padding = "10px"; noteEl.style.borderLeft = "4px solid var(--interactive-accent)"; noteEl.style.backgroundColor = "var(--background-secondary)"; noteEl.style.fontSize = "0.85em"; noteEl.style.color = "var(--text-muted)"; const note2El = pathSettingsWrapper.createEl("div", { text: "Note: The paths above are only for `query_wiki` and the `get_wiki` tool can return any document if the correct path is provided." }); note2El.style.marginTop = "14px"; note2El.style.padding = "10px"; note2El.style.borderLeft = "4px solid var(--interactive-accent)"; note2El.style.backgroundColor = "var(--background-secondary)"; note2El.style.fontSize = "0.85em"; note2El.style.color = "var(--text-muted)"; const note3El = pathSettingsWrapper.createEl("div", { text: 'Note: For a document to be returned by the `query_wiki` tool, it must be included by the "Allow Path Patterns" and not excluded by the "Exclude Path Patterns".' }); note3El.style.marginTop = "14px"; note3El.style.padding = "10px"; note3El.style.borderLeft = "4px solid var(--interactive-accent)"; note3El.style.backgroundColor = "var(--background-secondary)"; note3El.style.fontSize = "0.85em"; note3El.style.color = "var(--text-muted)"; containerEl.createEl("h3", { text: "Cache Management" }); const perfNote = containerEl.createEl("div", { text: "Note: Due to browser security constraints in Obsidian, local embedding generation is limited to a single CPU core. Initial indexing or re-indexing may be slow, but subsequent cached queries will be very fast." }); perfNote.style.marginTop = "14px"; perfNote.style.marginBottom = "14px"; perfNote.style.padding = "10px"; perfNote.style.borderLeft = "4px solid var(--interactive-accent)"; perfNote.style.backgroundColor = "var(--background-secondary)"; perfNote.style.fontSize = "0.85em"; perfNote.style.color = "var(--text-muted)"; new import_obsidian3.Setting(containerEl).setDesc("Delete the stored embedding vectors from disk and re-index your files.").addButton( (button) => button.setButtonText("Clear Cache").setWarning().onClick(async () => { const cachePath = `${this.plugin.getPluginDirRelative()}/embeddings-cache.json`; const adapter = this.plugin.app.vault.adapter; try { if (await adapter.exists(cachePath)) { await adapter.remove(cachePath); } await this.plugin.reinitializeSearchEngine(); new import_obsidian3.Notice("Embeddings cache successfully cleared!"); } catch (err) { console.error("[Second Brain MCP] Failed to clear embeddings cache:", err); new import_obsidian3.Notice("Failed to clear embeddings cache: " + err); } }) ); containerEl.createEl("h3", { text: "Reset Settings" }); new import_obsidian3.Setting(containerEl).setDesc("Restore all settings to their original factory defaults. This will reset the embedding model, custom paths, wiki purpose, and path pattern filters.").addButton( (button) => button.setButtonText("Restore Defaults").setWarning().onClick(async () => { this.plugin.settings = { modelName: DEFAULT_SETTINGS2.modelName, customModelName: DEFAULT_SETTINGS2.customModelName, cachedModelName: DEFAULT_SETTINGS2.cachedModelName, returnDiagnosticLogs: DEFAULT_SETTINGS2.returnDiagnosticLogs, wikiPurpose: DEFAULT_SETTINGS2.wikiPurpose, allowedPathPatterns: [...DEFAULT_SETTINGS2.allowedPathPatterns], excludedPathPatterns: [...DEFAULT_SETTINGS2.excludedPathPatterns] }; await this.plugin.saveSettings(); await this.plugin.reinitializeSearchEngine(); new import_obsidian3.Notice("Second Brain MCP settings successfully restored to defaults!"); this.display(); }) ); } }; function stripFrontmatter(content) { const trimmed = content.trim(); if (trimmed.startsWith("---")) { const nextDashIndex = trimmed.indexOf("---", 3); if (nextDashIndex !== -1) { return trimmed.substring(nextDashIndex + 3).trim(); } } return trimmed; } function dotProduct(a, b) { let sum = 0; const len = Math.min(a.length, b.length); for (let i = 0; i < len; i++) { sum += a[i] * b[i]; } return sum; } // Annotate the CommonJS export names for ESM import in node: 0 && (module.exports = {}); /*! Bundled license information: onnxruntime-web/dist/ort.node.min.js: (*! * ONNX Runtime Web v1.26.0-dev.20260416-b7804b056c * Copyright (c) Microsoft Corporation. All rights reserved. * Licensed under the MIT License. *) @huggingface/transformers/dist/transformers.node.cjs: (*! Bundled license information: onnxruntime-web/dist/ort.webgpu.bundle.min.mjs: (*! * ONNX Runtime Web v1.26.0-dev.20260416-b7804b056c * Copyright (c) Microsoft Corporation. All rights reserved. * Licensed under the MIT License. *) *) obsidian-local-rest-api/main.js: (* object-assign (c) Sindre Sorhus @license MIT *) (*! * accepts * Copyright(c) 2014 Jonathan Ong * Copyright(c) 2015 Douglas Christopher Wilson * MIT Licensed *) (*! * body-parser * Copyright(c) 2014 Jonathan Ong * Copyright(c) 2014-2015 Douglas Christopher Wilson * MIT Licensed *) (*! * body-parser * Copyright(c) 2014-2015 Douglas Christopher Wilson * MIT Licensed *) (*! * bytes * Copyright(c) 2012-2014 TJ Holowaychuk * Copyright(c) 2015 Jed Watson * MIT Licensed *) (*! * content-disposition * Copyright(c) 2014-2017 Douglas Christopher Wilson * MIT Licensed *) (*! * content-type * Copyright(c) 2015 Douglas Christopher Wilson * MIT Licensed *) (*! * cookie * Copyright(c) 2012-2014 Roman Shtylman * Copyright(c) 2015 Douglas Christopher Wilson * MIT Licensed *) (*! * depd * Copyright(c) 2014 Douglas Christopher Wilson * MIT Licensed *) (*! * depd * Copyright(c) 2014-2015 Douglas Christopher Wilson * MIT Licensed *) (*! * depd * Copyright(c) 2014-2017 Douglas Christopher Wilson * MIT Licensed *) (*! * depd * Copyright(c) 2014-2018 Douglas Christopher Wilson * MIT Licensed *) (*! * depd * Copyright(c) 2015 Douglas Christopher Wilson * MIT Licensed *) (*! * destroy * Copyright(c) 2014 Jonathan Ong * Copyright(c) 2015-2022 Douglas Christopher Wilson * MIT Licensed *) (*! * ee-first * Copyright(c) 2014 Jonathan Ong * MIT Licensed *) (*! * encodeurl * Copyright(c) 2016 Douglas Christopher Wilson * MIT Licensed *) (*! * escape-html * Copyright(c) 2012-2013 TJ Holowaychuk * Copyright(c) 2015 Andreas Lubbe * Copyright(c) 2015 Tiancheng "Timothy" Gu * MIT Licensed *) (*! * etag * Copyright(c) 2014-2016 Douglas Christopher Wilson * MIT Licensed *) (*! * express * Copyright(c) 2009-2013 TJ Holowaychuk * Copyright(c) 2013 Roman Shtylman * Copyright(c) 2014-2015 Douglas Christopher Wilson * MIT Licensed *) (*! * express * Copyright(c) 2009-2013 TJ Holowaychuk * Copyright(c) 2014-2015 Douglas Christopher Wilson * MIT Licensed *) (*! * finalhandler * Copyright(c) 2014-2022 Douglas Christopher Wilson * MIT Licensed *) (*! * forwarded * Copyright(c) 2014-2017 Douglas Christopher Wilson * MIT Licensed *) (*! * fresh * Copyright(c) 2012 TJ Holowaychuk * Copyright(c) 2016-2017 Douglas Christopher Wilson * MIT Licensed *) (*! * http-errors * Copyright(c) 2014 Jonathan Ong * Copyright(c) 2016 Douglas Christopher Wilson * MIT Licensed *) (*! * media-typer * Copyright(c) 2014 Douglas Christopher Wilson * MIT Licensed *) (*! * merge-descriptors * Copyright(c) 2014 Jonathan Ong * Copyright(c) 2015 Douglas Christopher Wilson * MIT Licensed *) (*! * methods * Copyright(c) 2013-2014 TJ Holowaychuk * Copyright(c) 2015-2016 Douglas Christopher Wilson * MIT Licensed *) (*! * mime-db * Copyright(c) 2014 Jonathan Ong * Copyright(c) 2015-2022 Douglas Christopher Wilson * MIT Licensed *) (*! * mime-types * Copyright(c) 2014 Jonathan Ong * Copyright(c) 2015 Douglas Christopher Wilson * MIT Licensed *) (*! * negotiator * Copyright(c) 2012 Federico Romero * Copyright(c) 2012-2014 Isaac Z. Schlueter * Copyright(c) 2015 Douglas Christopher Wilson * MIT Licensed *) (*! * on-finished * Copyright(c) 2013 Jonathan Ong * Copyright(c) 2014 Douglas Christopher Wilson * MIT Licensed *) (*! * on-headers * Copyright(c) 2014 Douglas Christopher Wilson * MIT Licensed *) (*! * parseurl * Copyright(c) 2014 Jonathan Ong * Copyright(c) 2014-2017 Douglas Christopher Wilson * MIT Licensed *) (*! * proxy-addr * Copyright(c) 2014-2016 Douglas Christopher Wilson * MIT Licensed *) (*! * range-parser * Copyright(c) 2012-2014 TJ Holowaychuk * Copyright(c) 2015-2016 Douglas Christopher Wilson * MIT Licensed *) (*! * raw-body * Copyright(c) 2013-2014 Jonathan Ong * Copyright(c) 2014-2022 Douglas Christopher Wilson * MIT Licensed *) (*! * response-time * Copyright(c) 2011 TJ Holowaychuk * Copyright(c) 2014 Jonathan Ong * Copyright(c) 2014-2015 Douglas Christopher Wilson * MIT Licensed *) (*! * router * Copyright(c) 2013 Roman Shtylman * Copyright(c) 2014-2022 Douglas Christopher Wilson * MIT Licensed *) (*! * send * Copyright(c) 2012 TJ Holowaychuk * Copyright(c) 2014-2022 Douglas Christopher Wilson * MIT Licensed *) (*! * serve-static * Copyright(c) 2010 Sencha Inc. * Copyright(c) 2011 TJ Holowaychuk * Copyright(c) 2014-2016 Douglas Christopher Wilson * MIT Licensed *) (*! * statuses * Copyright(c) 2014 Jonathan Ong * Copyright(c) 2016 Douglas Christopher Wilson * MIT Licensed *) (*! * toidentifier * Copyright(c) 2016 Douglas Christopher Wilson * MIT Licensed *) (*! * type-is * Copyright(c) 2014 Jonathan Ong * Copyright(c) 2014-2015 Douglas Christopher Wilson * MIT Licensed *) (*! * unpipe * Copyright(c) 2015 Douglas Christopher Wilson * MIT Licensed *) (*! * vary * Copyright(c) 2014-2017 Douglas Christopher Wilson * MIT Licensed *) (*! safe-buffer. MIT License. Feross Aboukhadijeh *) */ /* nosourcemap */