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var __require = /* @__PURE__ */ ((x) => typeof require !== "undefined" ? require : typeof Proxy !== "undefined" ? new Proxy(x, {
get: (a, b) => (typeof require !== "undefined" ? require : a)[b]
}) : x)(function(x) {
if (typeof require !== "undefined") return require.apply(this, arguments);
throw Error('Dynamic require of "' + x + '" is not supported');
});
// node_modules/onnxruntime-web/dist/ort.webgpu.bundle.min.mjs
var Jr = Object.defineProperty;
var dc = Object.getOwnPropertyDescriptor;
var lc = Object.getOwnPropertyNames;
var pc = Object.prototype.hasOwnProperty;
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if (typeof __require < "u") return __require.apply(this, arguments);
throw Error('Dynamic require of "' + a + '" is not supported');
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return a;
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{
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var _a = G(() => {
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Ua = "1.30.0";
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var Ra;
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var Kr = G(() => {
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_a();
Ra = "warning", ie = { wasm: {}, webgl: {}, webgpu: {}, versions: { common: Ua }, set logLevel(a) {
if (a !== void 0) {
if (typeof a != "string" || ["verbose", "info", "warning", "error", "fatal"].indexOf(a) === -1) throw new Error(`Unsupported logging level: ${a}`);
Ra = a;
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}, get logLevel() {
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} };
Object.defineProperty(ie, "logLevel", { enumerable: true });
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Kr();
ee = ie;
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var Wa;
var ka;
var Fa = G(() => {
"use strict";
Wa = (a, r) => {
let s = typeof document < "u" ? document.createElement("canvas") : new OffscreenCanvas(1, 1);
s.width = a.dims[3], s.height = a.dims[2];
let f = s.getContext("2d");
if (f != null) {
let i, p;
r?.tensorLayout !== void 0 && r.tensorLayout === "NHWC" ? (i = a.dims[2], p = a.dims[3]) : (i = a.dims[3], p = a.dims[2]);
let l = r?.format !== void 0 ? r.format : "RGB", b = r?.norm, g, w;
b === void 0 || b.mean === void 0 ? g = [255, 255, 255, 255] : typeof b.mean == "number" ? g = [b.mean, b.mean, b.mean, b.mean] : (g = [b.mean[0], b.mean[1], b.mean[2], 0], b.mean[3] !== void 0 && (g[3] = b.mean[3])), b === void 0 || b.bias === void 0 ? w = [0, 0, 0, 0] : typeof b.bias == "number" ? w = [b.bias, b.bias, b.bias, b.bias] : (w = [b.bias[0], b.bias[1], b.bias[2], 0], b.bias[3] !== void 0 && (w[3] = b.bias[3]));
let S = p * i, v = 0, T = S, A = S * 2, C = -1;
l === "RGBA" ? (v = 0, T = S, A = S * 2, C = S * 3) : l === "RGB" ? (v = 0, T = S, A = S * 2) : l === "RBG" && (v = 0, A = S, T = S * 2);
for (let _ = 0; _ < p; _++) for (let k = 0; k < i; k++) {
let U = (a.data[v++] - w[0]) * g[0], M = (a.data[T++] - w[1]) * g[1], Y = (a.data[A++] - w[2]) * g[2], O = C === -1 ? 255 : (a.data[C++] - w[3]) * g[3];
f.fillStyle = "rgba(" + U + "," + M + "," + Y + "," + O + ")", f.fillRect(k, _, 1, 1);
}
if ("toDataURL" in s) return s.toDataURL();
throw new Error("toDataURL is not supported");
} else throw new Error("Can not access image data");
}, ka = (a, r) => {
let s = typeof document < "u" ? document.createElement("canvas").getContext("2d") : new OffscreenCanvas(1, 1).getContext("2d"), f;
if (s != null) {
let i, p, l;
r?.tensorLayout !== void 0 && r.tensorLayout === "NHWC" ? (i = a.dims[2], p = a.dims[1], l = a.dims[3]) : (i = a.dims[3], p = a.dims[2], l = a.dims[1]);
let b = r !== void 0 && r.format !== void 0 ? r.format : "RGB", g = r?.norm, w, S;
g === void 0 || g.mean === void 0 ? w = [255, 255, 255, 255] : typeof g.mean == "number" ? w = [g.mean, g.mean, g.mean, g.mean] : (w = [g.mean[0], g.mean[1], g.mean[2], 255], g.mean[3] !== void 0 && (w[3] = g.mean[3])), g === void 0 || g.bias === void 0 ? S = [0, 0, 0, 0] : typeof g.bias == "number" ? S = [g.bias, g.bias, g.bias, g.bias] : (S = [g.bias[0], g.bias[1], g.bias[2], 0], g.bias[3] !== void 0 && (S[3] = g.bias[3]));
let v = p * i;
if (r !== void 0 && (r.format !== void 0 && l === 4 && r.format !== "RGBA" || l === 3 && r.format !== "RGB" && r.format !== "BGR")) throw new Error("Tensor format doesn't match input tensor dims");
let T = 4, A = 0, C = 1, _ = 2, k = 3, U = 0, M = v, Y = v * 2, O = -1;
b === "RGBA" ? (U = 0, M = v, Y = v * 2, O = v * 3) : b === "RGB" ? (U = 0, M = v, Y = v * 2) : b === "RBG" && (U = 0, Y = v, M = v * 2), f = s.createImageData(i, p);
for (let $ = 0; $ < p * i; A += T, C += T, _ += T, k += T, $++) f.data[A] = (a.data[U++] - S[0]) * w[0], f.data[C] = (a.data[M++] - S[1]) * w[1], f.data[_] = (a.data[Y++] - S[2]) * w[2], f.data[k] = O === -1 ? 255 : (a.data[O++] - S[3]) * w[3];
} else throw new Error("Can not access image data");
return f;
};
});
var Qr;
var Ga;
var $a;
var za;
var Va;
var ja;
var Ha = G(() => {
"use strict";
Yt();
Qr = (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 }, p, l;
typeof i.mean == "number" ? p = [i.mean, i.mean, i.mean, i.mean] : p = [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 b = r.format !== void 0 ? r.format : "RGBA", g = r.tensorFormat !== void 0 && r.tensorFormat !== void 0 ? r.tensorFormat : "RGB", w = s * f, S = g === "RGBA" ? new Float32Array(w * 4) : new Float32Array(w * 3), v = 4, T = 0, A = 1, C = 2, _ = 3, k = 0, U = w, M = w * 2, Y = -1;
b === "RGB" && (v = 3, T = 0, A = 1, C = 2, _ = -1), g === "RGBA" ? Y = w * 3 : g === "RBG" ? (k = 0, M = w, U = w * 2) : g === "BGR" && (M = 0, U = w, k = w * 2);
for (let $ = 0; $ < w; $++, T += v, C += v, A += v, _ += v) S[k++] = (a[T] + l[0]) / p[0], S[U++] = (a[A] + l[1]) / p[1], S[M++] = (a[C] + l[2]) / p[2], Y !== -1 && _ !== -1 && (S[Y++] = (a[_] + l[3]) / p[3]);
return g === "RGBA" ? new ce("float32", S, [1, 4, s, f]) : new ce("float32", S, [1, 3, s, f]);
}, Ga = 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, p = typeof a == "string", l, b = r ?? {}, g = () => {
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 = (S) => typeof HTMLCanvasElement < "u" && S instanceof HTMLCanvasElement || S instanceof OffscreenCanvas ? S.getContext("2d") : null;
if (s) {
let S = g();
S.width = a.width, S.height = a.height;
let v = w(S);
if (v != null) {
let T = a.height, A = a.width;
if (r !== void 0 && r.resizedHeight !== void 0 && r.resizedWidth !== void 0 && (T = r.resizedHeight, A = r.resizedWidth), r !== void 0) {
if (b = r, r.tensorFormat !== void 0) throw new Error("Image input config format must be RGBA for HTMLImageElement");
b.tensorFormat = "RGBA", b.height = T, b.width = A;
} else b.tensorFormat = "RGBA", b.height = T, b.width = A;
v.drawImage(a, 0, 0), l = v.getImageData(0, 0, A, T).data;
} else throw new Error("Can not access image data");
} else if (f) {
let S, v;
if (r !== void 0 && r.resizedWidth !== void 0 && r.resizedHeight !== void 0 ? (S = r.resizedHeight, v = r.resizedWidth) : (S = a.height, v = a.width), r !== void 0 && (b = r), b.format = "RGBA", b.height = S, b.width = v, r !== void 0) {
let T = g();
T.width = v, T.height = S;
let A = w(T);
if (A != null) A.putImageData(a, 0, 0), l = A.getImageData(0, 0, v, S).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 S = g();
S.width = a.width, S.height = a.height;
let v = w(S);
if (v != null) {
let T = a.height, A = a.width;
return v.drawImage(a, 0, 0, A, T), l = v.getImageData(0, 0, A, T).data, b.height = T, b.width = A, Qr(l, b);
} else throw new Error("Can not access image data");
} else {
if (p) return new Promise((S, v) => {
let T = g(), A = w(T);
if (!a || !A) return v();
let C = new Image();
C.crossOrigin = "Anonymous", C.src = a, C.onload = () => {
T.width = C.width, T.height = C.height, A.drawImage(C, 0, 0, T.width, T.height);
let _ = A.getImageData(0, 0, T.width, T.height);
b.height = T.height, b.width = T.width, S(Qr(_.data, b));
};
});
throw new Error("Input data provided is not supported - aborted tensor creation");
}
if (l !== void 0) return Qr(l, b);
throw new Error("Input data provided is not supported - aborted tensor creation");
}, $a = (a, r) => {
let { width: s, height: f, download: i, dispose: p } = r, l = [1, f, s, 4];
return new ce({ location: "texture", type: "float32", texture: a, dims: l, download: i, dispose: p });
}, za = (a, r) => {
let { dataType: s, dims: f, download: i, dispose: p } = r;
return new ce({ location: "gpu-buffer", type: s ?? "float32", gpuBuffer: a, dims: f, download: i, dispose: p });
}, Va = (a, r) => {
let { dataType: s, dims: f, download: i, dispose: p } = r;
return new ce({ location: "ml-tensor", type: s ?? "float32", mlTensor: a, dims: f, download: i, dispose: p });
}, ja = (a, r, s) => new ce({ location: "cpu-pinned", type: a, data: r, dims: s ?? [r.length] });
});
var nt;
var It;
var qa;
var Ya;
var Ja = G(() => {
"use strict";
nt = /* @__PURE__ */ new Map([["float32", Float32Array], ["uint8", Uint8Array], ["int8", Int8Array], ["uint16", Uint16Array], ["int16", Int16Array], ["int32", Int32Array], ["bool", Uint8Array], ["float64", Float64Array], ["uint32", Uint32Array], ["int4", Uint8Array], ["uint4", Uint8Array]]), It = /* @__PURE__ */ new Map([[Float32Array, "float32"], [Uint8Array, "uint8"], [Int8Array, "int8"], [Uint16Array, "uint16"], [Int16Array, "int16"], [Int32Array, "int32"], [Float64Array, "float64"], [Uint32Array, "uint32"]]), qa = false, Ya = () => {
if (!qa) {
qa = true;
let a = typeof BigInt64Array < "u" && BigInt64Array.from, r = typeof BigUint64Array < "u" && BigUint64Array.from, s = globalThis.Float16Array, f = typeof s < "u" && s.from;
a && (nt.set("int64", BigInt64Array), It.set(BigInt64Array, "int64")), r && (nt.set("uint64", BigUint64Array), It.set(BigUint64Array, "uint64")), f ? (nt.set("float16", s), It.set(s, "float16")) : nt.set("float16", Uint16Array);
}
};
});
var Xa;
var Za;
var Ka = G(() => {
"use strict";
Yt();
Xa = (a) => {
let r = 1;
for (let s = 0; s < a.length; s++) {
let f = a[s];
if (typeof f != "number" || !Number.isSafeInteger(f)) throw new TypeError(`dims[${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;
}, Za = (a, r) => {
switch (a.location) {
case "cpu":
return new ce(a.type, a.data, r);
case "cpu-pinned":
return new ce({ location: "cpu-pinned", data: a.data, type: a.type, dims: r });
case "texture":
return new ce({ location: "texture", texture: a.texture, type: a.type, dims: r });
case "gpu-buffer":
return new ce({ location: "gpu-buffer", gpuBuffer: a.gpuBuffer, type: a.type, dims: r });
case "ml-tensor":
return new ce({ location: "ml-tensor", mlTensor: a.mlTensor, type: a.type, dims: r });
default:
throw new Error(`tensorReshape: tensor location ${a.location} is not supported`);
}
};
});
var ce;
var Yt = G(() => {
"use strict";
Fa();
Ha();
Ja();
Ka();
ce = class {
constructor(r, s, f) {
Ya();
let i, p;
if (typeof r == "object" && "location" in r) switch (this.dataLocation = r.location, i = r.type, p = r.dims, r.location) {
case "cpu-pinned": {
let b = nt.get(i);
if (!b) throw new TypeError(`unsupported type "${i}" to create tensor from pinned buffer`);
if (!(r.data instanceof b)) throw new TypeError(`buffer should be of type ${b.name}`);
this.cpuData = r.data;
break;
}
case "texture": {
if (i !== "float32") throw new TypeError(`unsupported type "${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 b, g;
if (typeof r == "string") if (i = r, g = f, r === "string") {
if (!Array.isArray(s)) throw new TypeError("A string tensor's data must be a string array.");
b = s;
} else {
let w = nt.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" ? b = w.from(s, BigInt) : b = w.from(s);
} else if (s instanceof w) b = s;
else if (s instanceof Uint8ClampedArray) if (r === "uint8") b = 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) b = 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 (g = 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", b = r;
else if (w === "boolean") i = "bool", b = Uint8Array.from(r);
else throw new TypeError(`Invalid element type of data array: ${w}.`);
} else if (r instanceof Uint8ClampedArray) i = "uint8", b = Uint8Array.from(r);
else {
let w = It.get(r.constructor);
if (w === void 0) throw new TypeError(`Unsupported type for tensor data: ${r.constructor}.`);
i = w, b = r;
}
if (g === void 0) g = [b.length];
else if (!Array.isArray(g)) throw new TypeError("A tensor's dims must be a number array");
p = g, this.cpuData = b, this.dataLocation = "cpu";
}
let l = Xa(p);
if (this.cpuData && l !== this.cpuData.length && !((i === "uint4" || i === "int4") && Math.ceil(l / 2) === this.cpuData.length)) throw new Error(`Tensor's size(${l}) does not match data length(${this.cpuData.length}).`);
this.type = i, this.dims = p, this.size = l;
}
static async fromImage(r, s) {
return Ga(r, s);
}
static fromTexture(r, s) {
return $a(r, s);
}
static fromGpuBuffer(r, s) {
return za(r, s);
}
static fromMLTensor(r, s) {
return Va(r, s);
}
static fromPinnedBuffer(r, s, f) {
return ja(r, s, f);
}
toDataURL(r) {
return Wa(this, r);
}
toImageData(r) {
return ka(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 Za(this, r);
}
};
});
var Le;
var en = G(() => {
"use strict";
Yt();
Le = ce;
});
var Qa;
var es;
var ot;
var at;
var Ge;
var $e;
var tn = G(() => {
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Go(e.td), dt = 0;
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function En(e, t) {
t = t ? 1 : 0, (d(), Z)[e.ad + 12 >>> 0] = t;
}
function Sn(e, t) {
t = t ? 1 : 0, (d(), Z)[e.ad + 13 >>> 0] = t;
}
class Er {
constructor(t) {
this.td = t, this.ad = t - 24;
}
}
var Sr = (e) => {
var t = dt;
if (!t) return xt(0), 0;
var n = new Er(t);
(d(), E)[n.ad + 16 >>> 2 >>> 0] = t;
var o = (d(), E)[n.ad + 4 >>> 2 >>> 0];
if (!o) return xt(0), t;
for (var u of e) {
if (u === 0 || u === o) break;
if ($o(u, o, n.ad + 16)) return xt(u), t;
}
return xt(o), t;
};
function ni() {
return Sr([]);
}
function oi(e) {
return Sr([e >>> 0]);
}
function ai(e, t, n, o) {
return Sr([e >>> 0, t >>> 0, n >>> 0, o >>> 0]);
}
var si = () => {
var e = Pt.pop();
e || we("no exception to throw");
var t = e.td;
throw (d(), Z)[e.ad + 13 >>> 0] == 0 && (Pt.push(e), Sn(e, true), En(e, false), Ut++), Hr(t), dt = t;
};
function ii(e, t, n) {
var o = new Er(e >>>= 0);
throw t >>>= 0, n >>>= 0, (d(), E)[o.ad + 16 >>> 2 >>> 0] = 0, (d(), E)[o.ad + 4 >>> 2 >>> 0] = t, (d(), E)[o.ad + 8 >>> 2 >>> 0] = n, Hr(e), Ut++, dt = e;
}
var ui = () => Ut;
function xn(e, t, n, o) {
return i ? H(2, 1, e, t, n, o) : An(e, t, n, o);
}
function An(e, t, n, o) {
if (e >>>= 0, t >>>= 0, n >>>= 0, o >>>= 0, !globalThis.SharedArrayBuffer) return 6;
var u = [];
return i && u.length === 0 ? xn(e, t, n, o) : (e = { ye: n, Xc: e, kd: o, oe: u }, i ? (e.$c = "spawnThread", postMessage(e, u), 0) : Q(e));
}
function fi(e) {
throw dt ||= e >>> 0, dt;
}
var In = globalThis.TextDecoder && new TextDecoder(), Ln = (e, t, n, o) => {
if (n = t + n, o) return n;
for (; e[t] && !(t >= n); ) ++t;
return t;
}, Bn = (e, t = 0, n, o) => {
if (16 < (n = Ln(e, t >>>= 0, n, o)) - t && e.buffer && In) return In.decode(e.buffer instanceof ArrayBuffer ? e.subarray(t, n) : e.slice(t, n));
for (o = ""; t < n; ) {
var u = e[t++];
if (128 & u) {
var c = 63 & e[t++];
if ((224 & u) == 192) o += String.fromCharCode((31 & u) << 6 | c);
else {
var h = 63 & e[t++];
65536 > (u = (240 & u) == 224 ? (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;
}, lt = (e, t, n) => (e >>>= 0) ? Bn((d(), X), e, t, n) : "";
function On(e, t, n) {
return i ? H(3, 1, e, t, n) : 0;
}
function Mn(e, t) {
if (i) return H(4, 1, e, t);
}
function Cn(e, t) {
if (i) return H(5, 1, e, t);
}
function Dn(e, t, n) {
if (i) return H(6, 1, e, t, n);
}
function Pn(e, t, n) {
return i ? H(7, 1, e, t, n) : 0;
}
function Un(e, t) {
if (i) return H(8, 1, e, t);
}
function _n(e, t, n) {
if (i) return H(9, 1, e, t, n);
}
function Rn(e, t, n, o) {
if (i) return H(10, 1, e, t, n, o);
}
function Nn(e, t, n, o) {
if (i) return H(11, 1, e, t, n, o);
}
function Wn(e, t, n, o) {
if (i) return H(12, 1, e, t, n, o);
}
function kn(e) {
if (i) return H(13, 1, e);
}
function Fn(e, t) {
if (i) return H(14, 1, e, t);
}
function Gn(e, t, n) {
if (i) return H(15, 1, e, t, n);
}
var ci = () => we(""), Oe = (e) => {
e >>>= 0;
for (var t = ""; ; ) {
var n = (d(), X)[e++ >>> 0];
if (!n) return t;
t += String.fromCharCode(n);
}
}, xr = {}, Ar = {}, di = {}, pt = class extends Error {
constructor(e) {
super(e), this.name = "BindingError";
}
};
function Pe(e, t, n = {}) {
return (function(o, u, c = {}) {
var h = u.name;
if (!o) throw new pt(`type "${h}" must have a positive integer typeid pointer`);
if (Ar.hasOwnProperty(o)) {
if (c.ve) return;
throw new pt(`Cannot register type '${h}' twice`);
}
Ar[o] = u, delete di[o], xr.hasOwnProperty(o) && (u = xr[o], delete xr[o], u.forEach((m) => m()));
})(e, t, n);
}
var $n = (e, t, n) => {
switch (t) {
case 1:
return n ? (o) => (d(), Z)[o >>> 0] : (o) => (d(), X)[o >>> 0];
case 2:
return n ? (o) => (d(), De)[o >>> 1 >>> 0] : (o) => (d(), K)[o >>> 1 >>> 0];
case 4:
return n ? (o) => (d(), I)[o >>> 2 >>> 0] : (o) => (d(), E)[o >>> 2 >>> 0];
case 8:
return n ? (o) => (d(), pe)[o >>> 3 >>> 0] : (o) => (d(), J)[o >>> 3 >>> 0];
default:
throw new TypeError(`invalid integer width (${t}): ${e}`);
}
};
function li(e, t, n, o, u) {
e >>>= 0, n >>>= 0, t = Oe(t >>> 0);
let c = (h) => h;
if (o = o === 0n) {
let h = 8 * n;
c = (m) => BigInt.asUintN(h, m), u = c(u);
}
Pe(e, { name: t, Wc: c, cd: (h, m) => (typeof m == "number" && (m = BigInt(m)), m), bd: $n(t, n, !o), dd: null });
}
function pi(e, t, n, o) {
Pe(e >>>= 0, { name: t = Oe(t >>> 0), Wc: function(u) {
return !!u;
}, cd: function(u, c) {
return c ? n : o;
}, bd: function(u) {
return this.Wc((d(), X)[u >>> 0]);
}, dd: null });
}
var zn = [], Xe = [0, 1, , 1, null, 1, true, 1, false, 1];
function Ir(e) {
9 < (e >>>= 0) && --Xe[e + 1] === 0 && (Xe[e] = void 0, zn.push(e));
}
var Te = (e) => {
if (!e) throw new pt(`Cannot use deleted val. handle = ${e}`);
return Xe[e];
}, Ae = (e) => {
switch (e) {
case void 0:
return 2;
case null:
return 4;
case true:
return 6;
case false:
return 8;
default:
let t = zn.pop() || Xe.length;
return Xe[t] = e, Xe[t + 1] = 1, t;
}
};
function Lr(e) {
return this.Wc((d(), E)[e >>> 2 >>> 0]);
}
var mi = { name: "emscripten::val", Wc: (e) => {
var t = Te(e);
return Ir(e), t;
}, cd: (e, t) => Ae(t), bd: Lr, dd: null };
function hi(e) {
return Pe(e >>> 0, mi);
}
var bi = (e, t) => {
switch (t) {
case 4:
return function(n) {
return this.Wc((d(), R)[n >>> 2 >>> 0]);
};
case 8:
return function(n) {
return this.Wc((d(), ae)[n >>> 3 >>> 0]);
};
default:
throw new TypeError(`invalid float width (${t}): ${e}`);
}
};
function gi(e, t, n) {
n >>>= 0, Pe(e >>>= 0, { name: t = Oe(t >>> 0), Wc: (o) => o, cd: (o, u) => u, bd: bi(t, n), dd: null });
}
function yi(e, t, n, o, u) {
e >>>= 0, n >>>= 0, t = Oe(t >>> 0);
let c = (m) => m;
if (o === 0) {
var h = 32 - 8 * n;
c = (m) => m << h >>> h, u = c(u);
}
Pe(e, { name: t, Wc: c, cd: (m, y) => y, bd: $n(t, n, o !== 0), dd: null });
}
function wi(e, t, n) {
function o(c) {
var h = (d(), E)[c >>> 2 >>> 0];
return c = (d(), E)[c + 4 >>> 2 >>> 0], new u((d(), Z).buffer, c, h);
}
var u = [Int8Array, Uint8Array, Int16Array, Uint16Array, Int32Array, Uint32Array, Float32Array, Float64Array, BigInt64Array, BigUint64Array][t];
Pe(e >>>= 0, { name: n = Oe(n >>> 0), Wc: o, bd: o }, { ve: true });
}
var Ue = (e, t, n) => {
var o = (d(), X);
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;
}, _e = (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 Ti(e, t) {
Pe(e >>>= 0, { name: t = Oe(t >>> 0), Wc(n) {
var o = (d(), E)[n >>> 2 >>> 0];
return o = lt(n + 4, o, true), ve(n), o;
}, cd(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 pt("Cannot pass non-string to std::string");
var c = u ? _e(o) : o.length, h = Ke(4 + c + 1), m = h + 4;
return (d(), E)[h >>> 2 >>> 0] = c, u ? Ue(o, m, c + 1) : (d(), X).set(o, m >>> 0), n !== null && n.push(ve, h), h;
}, bd: Lr, dd(n) {
ve(n);
} });
}
var Vn = globalThis.TextDecoder ? new TextDecoder("utf-16le") : void 0, vi = (e, t, n) => {
if (e >>>= 1, 16 < (t = Ln((d(), K), e, t / 2, n)) - e && Vn) return Vn.decode((d(), K).slice(e, t));
for (n = ""; e < t; ++e) {
var o = (d(), K)[e >>> 0];
n += String.fromCharCode(o);
}
return n;
}, Ei = (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);
(d(), De)[t >>> 1 >>> 0] = c, t += 2;
}
return (d(), De)[t >>> 1 >>> 0] = 0, t - o;
}, Si = (e) => 2 * e.length, xi = (e, t, n) => {
var o = "";
e >>>= 2;
for (var u = 0; !(u >= t / 4); u++) {
var c = (d(), E)[e + u >>> 0];
if (!c && !n) break;
o += String.fromCodePoint(c);
}
return o;
}, Ai = (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++, (d(), I)[t >>> 2 >>> 0] = c, (t += 4) + 4 > n) break;
}
return (d(), I)[t >>> 2 >>> 0] = 0, t - o;
}, Ii = (e) => {
for (var t = 0, n = 0; n < e.length; ++n) 65535 < e.codePointAt(n) && n++, t += 4;
return t;
};
function Li(e, t, n) {
if (e >>>= 0, t >>>= 0, n = Oe(n >>>= 0), t === 2) var o = vi, u = Ei, c = Si;
else o = xi, u = Ai, c = Ii;
Pe(e, { name: n, Wc: (h) => {
var m = (d(), E)[h >>> 2 >>> 0];
return m = o(h + 4, m * t, true), ve(h), m;
}, cd: (h, m) => {
if (typeof m != "string") throw new pt(`Cannot pass non-string to C++ string type ${n}`);
var y = c(m), x = Ke(4 + y + t);
return (d(), E)[x >>> 2 >>> 0] = y / t, u(m, x + 4, y + t), h !== null && h.push(ve, x), x;
}, bd: Lr, dd(h) {
ve(h);
} });
}
function Bi(e, t) {
Pe(e >>>= 0, { we: true, name: t = Oe(t >>> 0), Wc: () => {
}, cd: () => {
} });
}
function Oi(e) {
zr(e >>> 0, !f, 1, !s, 131072, false), wn();
}
var me = (e) => {
if (!$) try {
if (e(), !(0 < z)) try {
i ? zt() && Vr(A) : vr(A);
} catch (t) {
t instanceof Tt || t == "unwind" || g(0, t);
}
} catch (t) {
t instanceof Tt || t == "unwind" || g(0, t);
}
}, Mi = !Atomics.waitAsync || globalThis.navigator?.userAgent && 91 > Number((navigator.userAgent.match(/Chrom(e|ium)\/([0-9]+)\./) || [])[2]);
function Br(e) {
e >>>= 0, Mi || (Atomics.waitAsync((d(), I), e >>> 2, e).value.then(_t), e += 128, Atomics.store((d(), I), e >>> 2, 1));
}
var _t = () => me(() => {
var e = zt();
e && (Br(e), ko());
});
function Ci(e, t) {
(e >>>= 0) == t >>> 0 ? setTimeout(_t) : i ? postMessage({ gd: e, $c: "checkMailbox" }) : (e = Je[e]) && e.postMessage({ $c: "checkMailbox" });
}
var Or = [];
function Di(e, t, n, o, u) {
for (t >>>= 0, u >>>= 0, Or.length = 0, n = u >>> 3, o = u + o >>> 3; n < o; ) {
var c;
c = (d(), pe)[n++ >>> 0] ? (d(), pe)[n++ >>> 0] : (d(), ae)[n++ >>> 0], Or.push(c);
}
return (t ? Yr[t] : xf[e])(...Or);
}
var Pi = () => {
z = 0;
};
function Ui(e) {
e >>>= 0, i ? postMessage({ $c: "cleanupThread", Le: e }) : yn(Je[e]);
}
function _i(e) {
}
var Rt = (e) => {
try {
e();
} catch (t) {
we(t);
}
};
function Ri(e) {
var t = (...n) => {
Nt.push(e);
try {
return e(...n);
} finally {
$ || (Nt.pop(), Me && Fe === 1 && Nt.length === 0 && (Fe = 0, z += 1, Rt(Oa), typeof Fibers < "u" && Fibers.We()));
}
};
return qn.set(e, t), t;
}
var Fe = 0, Me = null, jn = 0, Nt = [], Mr = /* @__PURE__ */ new Map(), Hn = /* @__PURE__ */ new Map(), qn = /* @__PURE__ */ new Map(), Ni = 0, Cr = null, Wi = [], Yn = (e) => (function(t) {
if (!$) {
if (Fe === 0) {
var n = false, o = false;
t((u = 0) => {
if (!$ && (jn = u, n = true, o)) {
Fe = 2, Rt(() => Ma(Me)), typeof MainLoop < "u" && MainLoop.se && MainLoop.resume(), u = false;
try {
var c = (function() {
var y = (d(), I)[Me + 8 >>> 2 >>> 0];
return y = Hn.get(y), y = qn.get(y), --z, y();
})();
} catch (y) {
c = y, u = true;
}
var h = false;
if (!Me) {
var m = Cr;
m && (Cr = null, (u ? m.reject : m.resolve)(c), h = true);
}
if (u && !h) throw c;
}
}), o = true, n || (Fe = 1, Me = (function() {
var u = Ke(65548), c = u + 12;
if ((d(), E)[u >>> 2 >>> 0] = c, (d(), E)[u + 4 >>> 2 >>> 0] = c + 65536, c = Nt[0], !Mr.has(c)) {
var h = Ni++;
Mr.set(c, h), Hn.set(h, c);
}
return c = Mr.get(c), (d(), I)[u + 8 >>> 2 >>> 0] = c, u;
})(), typeof MainLoop < "u" && MainLoop.se && MainLoop.pause(), Rt(() => Ba(Me)));
} else Fe === 2 ? (Fe = 0, Rt(Ca), ve(Me), Me = null, Wi.forEach(me)) : we(`invalid state: ${Fe}`);
return jn;
}
})((t) => {
e().then(t);
});
function ki(e) {
return e >>>= 0, Yn(async () => {
var t = await Te(e);
return Ae(t);
});
}
var Dr = [], Fi = (e) => {
var t = Dr.length;
return Dr.push(e), t;
}, Gi = (e, t) => {
for (var n = Array(e), o = 0; o < e; ++o) {
var u = o, c = (d(), E)[t + 4 * o >>> 2 >>> 0], h = Ar[c];
if (h === void 0) throw e = `parameter ${o}`, c = To(c), t = Oe(c), ve(c), new pt(`${e} has unknown type ${t}`);
n[u] = h;
}
return n;
}, $i = (e, t, n) => {
var o = [];
return e = e(o, n), o.length && ((d(), E)[t >>> 2 >>> 0] = Ae(o)), e;
}, zi = {}, Wt = (e) => {
var t = zi[e];
return t === void 0 ? Oe(e) : t;
};
function Vi(e, t, n) {
var [o, ...u] = Gi(e, t >>> 0);
t = o.cd.bind(o);
var c = u.map((y) => y.bd.bind(y));
e--;
var h = { toValue: Te };
switch (e = c.map((y, x) => {
var N = `argFromPtr${x}`;
return h[N] = y, `${N}(args${x ? "+" + 8 * x : ""})`;
}), n) {
case 0:
var m = "toValue(handle)";
break;
case 2:
m = "new (toValue(handle))";
break;
case 3:
m = "";
break;
case 1:
h.getStringOrSymbol = Wt, m = "toValue(handle)[getStringOrSymbol(methodName)]";
}
return m += `(${e})`, o.we || (h.toReturnWire = t, h.emval_returnValue = $i, m = `return emval_returnValue(toReturnWire, destructorsRef, ${m})`), m = `return function (handle, methodName, destructorsRef, args) {
${m}
}`, n = new Function(Object.keys(h), m)(...Object.values(h)), m = `methodCaller<(${u.map((y) => y.name)}) => ${o.name}>`, Fi(Object.defineProperty(n, "name", { value: m }));
}
function ji(e, t) {
return t >>>= 0, (e = Te(e >>> 0)) == Te(t);
}
function Hi(e) {
return (e >>>= 0) ? (e = Wt(e), Ae(globalThis[e])) : Ae(globalThis);
}
function qi(e) {
return e = Wt(e >>> 0), Ae(r[e]);
}
function Yi(e, t) {
return t >>>= 0, e = Te(e >>> 0), t = Te(t), Ae(e[t]);
}
function Ji(e) {
9 < (e >>>= 0) && (Xe[e + 1] += 1);
}
function Jn(e, t, n, o, u) {
return Dr[e >>> 0](t >>> 0, n >>> 0, o >>> 0, u >>> 0);
}
function Xi(e, t, n, o, u) {
return Jn(e >>> 0, t >>> 0, n >>> 0, o >>> 0, u >>> 0);
}
function Zi() {
return Ae([]);
}
function Ki(e) {
e = Te(e >>> 0);
for (var t = Array(e.length), n = 0; n < e.length; n++) t[n] = e[n];
return Ae(t);
}
function Qi(e) {
return Ae(Wt(e >>> 0));
}
function eu() {
return Ae({});
}
function tu(e) {
for (var t = Te(e >>>= 0); t.length; ) {
var n = t.pop();
t.pop()(n);
}
Ir(e);
}
function ru(e, t, n) {
t >>>= 0, n >>>= 0, e = Te(e >>> 0), t = Te(t), n = Te(n), e[t] = n;
}
function nu(e, t) {
e = ue(e), t >>>= 0, e = new Date(1e3 * e), (d(), I)[t >>> 2 >>> 0] = e.getUTCSeconds(), (d(), I)[t + 4 >>> 2 >>> 0] = e.getUTCMinutes(), (d(), I)[t + 8 >>> 2 >>> 0] = e.getUTCHours(), (d(), I)[t + 12 >>> 2 >>> 0] = e.getUTCDate(), (d(), I)[t + 16 >>> 2 >>> 0] = e.getUTCMonth(), (d(), I)[t + 20 >>> 2 >>> 0] = e.getUTCFullYear() - 1900, (d(), I)[t + 24 >>> 2 >>> 0] = e.getUTCDay(), e = (e.getTime() - Date.UTC(e.getUTCFullYear(), 0, 1, 0, 0, 0, 0)) / 864e5 | 0, (d(), I)[t + 28 >>> 2 >>> 0] = e;
}
var Xn = (e) => e % 4 == 0 && (e % 100 != 0 || e % 400 == 0), Zn = [0, 31, 60, 91, 121, 152, 182, 213, 244, 274, 305, 335], Kn = [0, 31, 59, 90, 120, 151, 181, 212, 243, 273, 304, 334];
function ou(e, t) {
e = ue(e), t >>>= 0, e = new Date(1e3 * e), (d(), I)[t >>> 2 >>> 0] = e.getSeconds(), (d(), I)[t + 4 >>> 2 >>> 0] = e.getMinutes(), (d(), I)[t + 8 >>> 2 >>> 0] = e.getHours(), (d(), I)[t + 12 >>> 2 >>> 0] = e.getDate(), (d(), I)[t + 16 >>> 2 >>> 0] = e.getMonth(), (d(), I)[t + 20 >>> 2 >>> 0] = e.getFullYear() - 1900, (d(), I)[t + 24 >>> 2 >>> 0] = e.getDay();
var n = (Xn(e.getFullYear()) ? Zn : Kn)[e.getMonth()] + e.getDate() - 1 | 0;
(d(), I)[t + 28 >>> 2 >>> 0] = n, (d(), I)[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)), (d(), I)[t + 32 >>> 2 >>> 0] = e;
}
function au(e) {
e >>>= 0;
var t = new Date((d(), I)[e + 20 >>> 2 >>> 0] + 1900, (d(), I)[e + 16 >>> 2 >>> 0], (d(), I)[e + 12 >>> 2 >>> 0], (d(), I)[e + 8 >>> 2 >>> 0], (d(), I)[e + 4 >>> 2 >>> 0], (d(), I)[e >>> 2 >>> 0], 0), n = (d(), I)[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 ? (d(), I)[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))), (d(), I)[e + 24 >>> 2 >>> 0] = t.getDay(), n = (Xn(t.getFullYear()) ? Zn : Kn)[t.getMonth()] + t.getDate() - 1 | 0, (d(), I)[e + 28 >>> 2 >>> 0] = n, (d(), I)[e >>> 2 >>> 0] = t.getSeconds(), (d(), I)[e + 4 >>> 2 >>> 0] = t.getMinutes(), (d(), I)[e + 8 >>> 2 >>> 0] = t.getHours(), (d(), I)[e + 12 >>> 2 >>> 0] = t.getDate(), (d(), I)[e + 16 >>> 2 >>> 0] = t.getMonth(), (d(), I)[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 ? H(16, 1, e, t, n, o, u, c, h) : -52;
}
function eo(e, t, n, o, u, c) {
if (i) return H(17, 1, e, t, n, o, u, c);
}
var Et = {}, su = () => performance.timeOrigin + performance.now();
function to(e, t) {
if (i) return H(18, 1, e, t);
if (Et[e] && (clearTimeout(Et[e].id), delete Et[e]), !t) return 0;
var n = setTimeout(() => {
delete Et[e], me(() => Wo(e, performance.timeOrigin + performance.now()));
}, t);
return Et[e] = { id: n, Ve: t }, 0;
}
function iu(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);
(d(), E)[e >>> 2 >>> 0] = 60 * h, (d(), I)[t >>> 2 >>> 0] = +(c != u), e = (t = (m) => {
var y = Math.abs(m);
return `UTC${0 <= m ? "-" : "+"}${String(Math.floor(y / 60)).padStart(2, "0")}${String(y % 60).padStart(2, "0")}`;
})(c), t = t(u), u < c ? (Ue(e, n, 17), Ue(t, o, 17)) : (Ue(e, o, 17), Ue(t, n, 17));
}
var uu = () => Date.now(), fu = 1;
function cu(e, t, n) {
if (n >>>= 0, !(0 <= e && 3 >= e)) return 28;
if (e === 0) e = Date.now();
else {
if (!fu) return 52;
e = performance.timeOrigin + performance.now();
}
return e = Math.round(1e6 * e), (d(), pe)[n >>> 3 >>> 0] = BigInt(e), 0;
}
var Pr = [], ro = (e, t) => {
Pr.length = 0;
for (var n; n = (d(), X)[e++ >>> 0]; ) {
var o = n != 105;
t += (o &= n != 112) && t % 8 ? 4 : 0, Pr.push(n == 112 ? (d(), E)[t >>> 2 >>> 0] : n == 106 ? (d(), pe)[t >>> 3 >>> 0] : n == 105 ? (d(), I)[t >>> 2 >>> 0] : (d(), ae)[t >>> 3 >>> 0]), t += o ? 8 : 4;
}
return Pr;
};
function du(e, t, n) {
return e >>>= 0, t = ro(t >>> 0, n >>> 0), Yr[e](...t);
}
function lu(e, t, n) {
return e >>>= 0, t = ro(t >>> 0, n >>> 0), Yr[e](...t);
}
var pu = () => {
};
function mu(e, t) {
return O(lt(e >>> 0, t >>> 0));
}
var hu = () => {
throw z += 1, "unwind";
};
function bu() {
return 4294901760;
}
var gu = () => 1, yu = () => navigator.hardwareConcurrency, Ze = {}, no = (e) => {
var t = _e(e) + 1, n = Ke(t);
return n && Ue(e, n, t), n;
}, kt = (e) => {
var t;
return (t = /\bwasm-function\[\d+\]:(0x[0-9a-f]+)/.exec(e)) ? +t[1] : (t = /:(\d+):\d+(?:\)|$)/.exec(e)) ? 2147483648 | +t[1] : 0;
}, oo = (e) => {
for (var t of e) (e = kt(t)) && (Ze[e] = t);
};
function wu() {
var e = Error().stack.toString().split(`
`);
return e[0] == "Error" && e.shift(), oo(e), Ze.ee = kt(e[3]), Ze.xe = e, Ze.ee;
}
function Ft(e) {
if (!(e = Ze[e >>> 0])) return 0;
var t;
if (t = /^\s+at .*\.wasm\.(.*) \(.*\)$/.exec(e)) e = t[1];
else if (t = /^\s+at (.*) \(.*\)$/.exec(e)) e = t[1];
else {
if (!(t = /^(.+?)@/.exec(e))) return 0;
e = t[1];
}
return ve(Ft.ne ?? 0), Ft.ne = no(e), Ft.ne;
}
function Tu(e) {
e >>>= 0;
var t = (d(), X).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)) - ke.buffer.byteLength + 65535) / 65536 | 0;
try {
ke.grow(o), se();
var u = 1;
break e;
} catch {
}
u = void 0;
}
if (u) return true;
}
return false;
}
function vu(e, t, n) {
if (e >>>= 0, t >>>= 0, Ze.ee == e) var o = Ze.xe;
else (o = Error().stack.toString().split(`
`))[0] == "Error" && o.shift(), oo(o);
for (var u = 3; o[u] && kt(o[u]) != e; ) ++u;
for (e = 0; e < n && o[e + u]; ++e) (d(), I)[t + 4 * e >>> 2 >>> 0] = kt(o[e + u]);
return e;
}
var Ce = (e) => {
var t = _e(e) + 1, n = Vt(t);
return Ue(e, n, t), n;
}, mt = (e) => (d(), E)[e >>> 2 >>> 0] + 4294967296 * (d(), I)[e + 4 >>> 2 >>> 0], fe = [], ao = (e, t) => {
fe[e >>> 0] = t;
}, Re = [], Gt = [], ht = (e, t) => {
Gt[e] = new Promise((n) => t.finally(() => n(e)));
}, B = (e) => {
if (e) return fe[e >>> 0];
}, Ur = (e, t) => {
for (e = (d(), E)[e >>> 2 >>> 0]; e; e = (d(), E)[e >>> 2 >>> 0]) t[(d(), I)[e + 4 >>> 2 >>> 0]](e);
}, $t = (e, t, n) => {
(d(), E)[e >>> 2 >>> 0] = t, (d(), E)[e + 4 >>> 2 >>> 0] = n;
}, so = (e) => {
var t = (d(), E)[e >>> 2 >>> 0];
return e = (d(), E)[e + 4 >>> 2 >>> 0], lt(t, e);
}, Ie = (e) => {
var t = (d(), E)[e >>> 2 >>> 0];
return e = (d(), E)[e + 4 >>> 2 >>> 0], t ? lt(t, e) : e === 0 ? "" : void 0;
}, Eu = (e) => {
var t = Ie(e + 4), n = (n = (d(), E)[e + 12 >>> 2 >>> 0]) ? B(n) : "auto";
if (e += 16) {
var o = B((d(), E)[e + 4 >>> 2 >>> 0]), u = (d(), E)[e + 16 >>> 2 >>> 0], c = (d(), E)[e + 20 >>> 2 >>> 0];
if (u) {
for (var h = {}, m = 0; m < u; ++m) {
var y = c + 24 * m;
h[so(y + 4)] = (d(), ae)[y + 16 >>> 3 >>> 0];
}
u = h;
} else u = void 0;
e = { module: o, constants: u, entryPoint: Ie(e + 8) };
} else e = void 0;
return { label: t, layout: n, compute: e };
}, io = (e, t) => {
function n(c, h, m, y = 0) {
c = e[c] ?? y, (d(), E)[h + m >>> 2 >>> 0] = c;
}
function o(c, h, m, y = 0) {
h += m, c = e[c] ?? y, (d(), E)[h >>> 2 >>> 0] = c, y = (d(), E)[h >>> 2 >>> 0], (d(), E)[h + 4 >>> 2 >>> 0] = (c - y) / 4294967296;
}
var u = (d(), E)[t >>> 2 >>> 0];
n("maxTextureDimension1D", t, 4), n("maxTextureDimension2D", t, 8), n("maxTextureDimension3D", t, 12), n("maxTextureArrayLayers", t, 16), n("maxBindGroups", t, 20), n("maxBindGroupsPlusVertexBuffers", t, 24), n("maxBindingsPerBindGroup", t, 28), n("maxDynamicUniformBuffersPerPipelineLayout", t, 32), n("maxDynamicStorageBuffersPerPipelineLayout", t, 36), n("maxSampledTexturesPerShaderStage", t, 40), n("maxSamplersPerShaderStage", t, 44), n("maxStorageBuffersPerShaderStage", t, 48), n("maxStorageTexturesPerShaderStage", t, 52), n("maxUniformBuffersPerShaderStage", t, 56), n("minUniformBufferOffsetAlignment", t, 80), n("minStorageBufferOffsetAlignment", t, 84), o("maxUniformBufferBindingSize", t, 64), o("maxStorageBufferBindingSize", t, 72), n("maxVertexBuffers", t, 88), o("maxBufferSize", t, 96), n("maxVertexAttributes", t, 104), n("maxVertexBufferArrayStride", t, 108), n("maxInterStageShaderVariables", t, 112), n("maxColorAttachments", t, 116), n("maxColorAttachmentBytesPerSample", t, 120), n("maxComputeWorkgroupStorageSize", t, 124), n("maxComputeInvocationsPerWorkgroup", t, 128), n("maxComputeWorkgroupSizeX", t, 132), n("maxComputeWorkgroupSizeY", t, 136), n("maxComputeWorkgroupSizeZ", t, 140), n("maxComputeWorkgroupsPerDimension", t, 144), n("maxImmediateSize", t, 148), u !== 0 && (d(), n("maxStorageBuffersInVertexStage", u, 8, e.maxStorageBuffersPerShaderStage), n("maxStorageBuffersInFragmentStage", u, 16, e.maxStorageBuffersPerShaderStage), n("maxStorageTexturesInVertexStage", u, 12, e.maxStorageTexturesPerShaderStage), n("maxStorageTexturesInFragmentStage", u, 20, e.maxStorageTexturesPerShaderStage));
}, Su = (e, t) => {
(d(), E)[t + 52 >>> 2 >>> 0] = e.subgroupMinSize, (d(), E)[t + 56 >>> 2 >>> 0] = e.subgroupMaxSize;
var n = no(e.vendor + e.architecture + e.device + e.description), o = _e(e.vendor);
$t(t + 4, n, o), n += o, o = _e(e.architecture), $t(t + 12, n, o), n += o, o = _e(e.device), $t(t + 20, n, o), n += o, o = _e(e.description), $t(t + 28, n, o), n += o, (d(), I)[t + 36 >>> 2 >>> 0] = 2, n = e.isFallbackAdapter ? 3 : 4, (d(), I)[t + 40 >>> 2 >>> 0] = n, (d(), E)[t + 44 >>> 2 >>> 0] = 0, (d(), E)[t + 48 >>> 2 >>> 0] = 0, Ur(t, { 327739: (u) => {
let c = 0, h = 0;
if (e.subgroupMatrixConfigs) {
c = e.subgroupMatrixConfigs.length, h = Ke(20 * c);
for (let [m, y] of e.subgroupMatrixConfigs.entries()) {
let x = h + 20 * m, N = fo.indexOf(y.componentType), F = fo.indexOf(y.resultComponentType);
(d(), I)[x >>> 2 >>> 0] = N, (d(), I)[x + 4 >>> 2 >>> 0] = F, (d(), E)[x + 8 >>> 2 >>> 0] = y.M, (d(), E)[x + 12 >>> 2 >>> 0] = y.N, (d(), E)[x + 16 >>> 2 >>> 0] = y.K;
}
}
(d(), E)[u + 12 >>> 2 >>> 0] = h, (d(), E)[u + 8 >>> 2 >>> 0] = c;
} });
}, xu = [, , "uniform", "storage", "read-only-storage"], Au = [, "validation", "out-of-memory", "internal"], Iu = [, "compatibility", "core"], uo = { 1: "core-features-and-limits", 2: "depth-clip-control", 3: "depth32float-stencil8", 4: "texture-compression-bc", 5: "texture-compression-bc-sliced-3d", 6: "texture-compression-etc2", 7: "texture-compression-astc", 8: "texture-compression-astc-sliced-3d", 9: "timestamp-query", 10: "indirect-first-instance", 11: "shader-f16", 12: "rg11b10ufloat-renderable", 13: "bgra8unorm-storage", 14: "float32-filterable", 15: "float32-blendable", 16: "clip-distances", 17: "dual-source-blending", 18: "subgroups", 19: "texture-formats-tier1", 20: "texture-formats-tier2", 21: "primitive-index", 22: "texture-component-swizzle", 23: "subgroup-size-control", 327692: "chromium-experimental-unorm16-texture-formats", 327729: "chromium-experimental-multi-draw-indirect", 327732: "chromium-experimental-subgroup-matrix" }, Lu = [, "low-power", "high-performance"], Bu = [, "occlusion", "timestamp"], Ou = [, , "filtering", "non-filtering", "comparison"], Mu = [, , "write-only", "read-only", "read-write"], fo = [, "f32", "f16", "u32", "i32", "u8", "i8"], Cu = [, "r8unorm", "r8snorm", "r8uint", "r8sint", "r16unorm", "r16snorm", "r16uint", "r16sint", "r16float", "rg8unorm", "rg8snorm", "rg8uint", "rg8sint", "r32float", "r32uint", "r32sint", "rg16unorm", "rg16snorm", "rg16uint", "rg16sint", "rg16float", "rgba8unorm", "rgba8unorm-srgb", "rgba8snorm", "rgba8uint", "rgba8sint", "bgra8unorm", "bgra8unorm-srgb", "rgb10a2uint", "rgb10a2unorm", "rg11b10ufloat", "rgb9e5ufloat", "rg32float", "rg32uint", "rg32sint", "rgba16unorm", "rgba16snorm", "rgba16uint", "rgba16sint", "rgba16float", "rgba32float", "rgba32uint", "rgba32sint", "stencil8", "depth16unorm", "depth24plus", "depth24plus-stencil8", "depth32float", "depth32float-stencil8", "bc1-rgba-unorm", "bc1-rgba-unorm-srgb", "bc2-rgba-unorm", "bc2-rgba-unorm-srgb", "bc3-rgba-unorm", "bc3-rgba-unorm-srgb", "bc4-r-unorm", "bc4-r-snorm", "bc5-rg-unorm", "bc5-rg-snorm", "bc6h-rgb-ufloat", "bc6h-rgb-float", "bc7-rgba-unorm", "bc7-rgba-unorm-srgb", "etc2-rgb8unorm", "etc2-rgb8unorm-srgb", "etc2-rgb8a1unorm", "etc2-rgb8a1unorm-srgb", "etc2-rgba8unorm", "etc2-rgba8unorm-srgb", "eac-r11unorm", "eac-r11snorm", "eac-rg11unorm", "eac-rg11snorm", "astc-4x4-unorm", "astc-4x4-unorm-srgb", "astc-5x4-unorm", "astc-5x4-unorm-srgb", "astc-5x5-unorm", "astc-5x5-unorm-srgb", "astc-6x5-unorm", "astc-6x5-unorm-srgb", "astc-6x6-unorm", "astc-6x6-unorm-srgb", "astc-8x5-unorm", "astc-8x5-unorm-srgb", "astc-8x6-unorm", "astc-8x6-unorm-srgb", "astc-8x8-unorm", "astc-8x8-unorm-srgb", "astc-10x5-unorm", "astc-10x5-unorm-srgb", "astc-10x6-unorm", "astc-10x6-unorm-srgb", "astc-10x8-unorm", "astc-10x8-unorm-srgb", "astc-10x10-unorm", "astc-10x10-unorm-srgb", "astc-12x10-unorm", "astc-12x10-unorm-srgb", "astc-12x12-unorm", "astc-12x12-unorm-srgb"], Du = [, , "float", "unfilterable-float", "depth", "sint", "uint"], co = [, "1d", "2d", "2d-array", "cube", "cube-array", "3d"], Pu = { undefined: 1, unknown: 1, destroyed: 2 };
function Uu(e, t, n, o, u, c) {
t = ue(t), n = ue(n), o >>>= 0, u >>>= 0, c >>>= 0;
var h = B(e >>> 0);
if (e = {}, c) {
var m = (d(), E)[c + 12 >>> 2 >>> 0];
if (m) {
var y = (d(), E)[c + 16 >>> 2 >>> 0];
e.requiredFeatures = Array.from((d(), E).subarray(y >>> 2 >>> 0, y + 4 * m >>> 2 >>> 0), (L) => uo[L]);
}
if (m = (d(), E)[c + 20 >>> 2 >>> 0]) {
let L = function(he, de, Qe, et = false) {
de += Qe, (de = (d(), E)[de >>> 2 >>> 0]) == 4294967295 || et && de == 0 || (x[he] = de);
}, q = function(he, de, Qe) {
de += Qe, Qe = (d(), E)[de >>> 2 >>> 0];
var et = (d(), E)[de + 4 >>> 2 >>> 0];
Qe == 4294967295 && et == 4294967295 || (x[he] = mt(de));
};
var N = L, F = q;
y = (d(), E)[m >>> 2 >>> 0];
var x = {};
L("maxTextureDimension1D", m, 4), L("maxTextureDimension2D", m, 8), L("maxTextureDimension3D", m, 12), L("maxTextureArrayLayers", m, 16), L("maxBindGroups", m, 20), L("maxBindGroupsPlusVertexBuffers", m, 24), L("maxBindingsPerBindGroup", m, 28), L("maxDynamicUniformBuffersPerPipelineLayout", m, 32), L("maxDynamicStorageBuffersPerPipelineLayout", m, 36), L("maxSampledTexturesPerShaderStage", m, 40), L("maxSamplersPerShaderStage", m, 44), L("maxStorageBuffersPerShaderStage", m, 48), L("maxStorageTexturesPerShaderStage", m, 52), L("maxUniformBuffersPerShaderStage", m, 56), L("minUniformBufferOffsetAlignment", m, 80), L("minStorageBufferOffsetAlignment", m, 84), q("maxUniformBufferBindingSize", m, 64), q("maxStorageBufferBindingSize", m, 72), L("maxVertexBuffers", m, 88), q("maxBufferSize", m, 96), L("maxVertexAttributes", m, 104), L("maxVertexBufferArrayStride", m, 108), L("maxInterStageShaderVariables", m, 112), L("maxColorAttachments", m, 116), L("maxColorAttachmentBytesPerSample", m, 120), L("maxComputeWorkgroupStorageSize", m, 124), L("maxComputeInvocationsPerWorkgroup", m, 128), L("maxComputeWorkgroupSizeX", m, 132), L("maxComputeWorkgroupSizeY", m, 136), L("maxComputeWorkgroupSizeZ", m, 140), L("maxComputeWorkgroupsPerDimension", m, 144), L("maxImmediateSize", m, 148, true), y !== 0 && (d(), "maxStorageBuffersInVertexStage" in GPUSupportedLimits.prototype && (L("maxStorageBuffersInVertexStage", y, 8), L("maxStorageTexturesInVertexStage", y, 12), L("maxStorageBuffersInFragmentStage", y, 16), L("maxStorageTexturesInFragmentStage", y, 20))), e.requiredLimits = x;
}
(m = (d(), E)[c + 24 >>> 2 >>> 0]) && (m = { label: Ie(m + 4) }, e.defaultQueue = m), e.label = Ie(c + 4);
}
z += 1, ht(t, h.requestDevice(e).then((L) => {
--z, me(() => {
fe[u >>> 0] = L.queue, fe[o >>> 0] = L, z += 1, ht(n, L.lost.then((q) => {
me(() => {
L.onuncapturederror = () => {
};
var he = P(), de = Ce(q.message);
kr(n, Pu[q.reason], de), D(he);
}), --z;
})), L.onuncapturederror = (q) => {
var he = 5;
q.error instanceof GPUValidationError ? he = 2 : q.error instanceof GPUOutOfMemoryError ? he = 3 : q.error instanceof GPUInternalError && (he = 4);
var de = P();
q = Ce(q.error.message), Uo(o, he, q), D(de);
}, "adapterInfo" in L || (L.adapterInfo = h.info), $r(t, 1, o, 0);
});
}, (L) => {
--z, me(() => {
var q = P(), he = Ce(L.message);
$r(t, 3, o, he), n && kr(n, 4, he), D(q);
});
}));
}
function _u(e) {
var t = B(e >>>= 0), n = Re[e];
if (n) {
for (var o = 0; o < n.length; ++o) n[o]();
delete Re[e];
}
t.destroy();
}
function Ru(e, t, n) {
n >>>= 0;
var o = B(e >>>= 0);
n == 4294967295 && (n = void 0);
try {
var u = o.getMappedRange(t >>> 0, n);
} catch {
return 0;
}
var c = jr(16, u.byteLength);
return (d(), X).set(new Uint8Array(u), c >>> 0), Re[e].push(() => ve(c)), c;
}
function Nu(e, t, n) {
n >>>= 0;
var o = B(e >>>= 0);
n == 4294967295 && (n = void 0);
try {
var u = o.getMappedRange(t >>> 0, n);
} catch {
return 0;
}
var c = jr(16, u.byteLength);
return (d(), X).fill(0, c, u.byteLength), Re[e].push(() => {
new Uint8Array(u).set((d(), X).subarray(c >>> 0, c + u.byteLength >>> 0)), ve(c);
}), c;
}
function Wu(e, t, n, o, u) {
e >>>= 0, t = ue(t), n = ue(n), u >>>= 0;
var c = B(e);
Re[e] = [], u == 4294967295 && (u = void 0), z += 1, ht(t, c.mapAsync(n, o >>> 0, u).then(() => {
--z, me(() => {
Fr(t, 1, 0);
});
}, (h) => {
--z, me(() => {
P();
var m = Ce(h.message);
Fr(t, h.name === "AbortError" ? 4 : h.name === "OperationError" ? 3 : 0, m), delete Re[e];
});
}));
}
function ku(e) {
var t = B(e >>>= 0), n = Re[e];
if (n) {
for (var o = 0; o < n.length; ++o) n[o]();
delete Re[e], t.unmap();
}
}
function Fu(e) {
delete fe[e >>> 0];
}
function Gu(e, t, n) {
e >>>= 0, t >>>= 0, n >>>= 0;
var o = !!(d(), E)[t + 32 >>> 2 >>> 0];
t = { label: Ie(t + 4), usage: (d(), E)[t + 16 >>> 2 >>> 0], size: mt(t + 24), mappedAtCreation: o }, e = B(e);
try {
var u = e.createBuffer(t);
} catch {
return false;
}
return fe[n >>> 0] = u, o && (Re[n] = []), true;
}
function $u(e, t, n, o) {
e >>>= 0, t = ue(t), o >>>= 0, n = Eu(n >>> 0), e = B(e), z += 1, ht(t, e.createComputePipelineAsync(n).then((u) => {
--z, me(() => {
fe[o >>> 0] = u, Wr(t, 1, o, 0);
});
}, (u) => {
--z, me(() => {
var c = P(), h = Ce(u.message);
Wr(t, u.reason === "validation" ? 3 : u.reason === "internal" ? 4 : 0, o, h), D(c);
});
}));
}
function zu(e, t, n) {
e >>>= 0, t >>>= 0, n >>>= 0;
var o = (d(), E)[t >>> 2 >>> 0], u = (d(), I)[o + 4 >>> 2 >>> 0];
t = { label: Ie(t + 4), code: "" }, u === 2 && (t.code = so(o + 8)), e = B(e).createShaderModule(t), fe[n >>> 0] = e;
}
var Vu = (e) => {
(e = B(e)).onuncapturederror = null, e.destroy();
};
function ju(e, t) {
t = ue(t), e = B(e >>> 0), z += 1, ht(t, e.popErrorScope().then((n) => {
--z, me(() => {
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;
Gr(t, 1, o, c), D(u);
});
}, (n) => {
--z, me(() => {
var o = P(), u = Ce(n.message);
Gr(t, 1, 5, u), D(o);
});
}));
}
function Hu(e, t, n, o) {
if (t = ue(t), o >>>= 0, n >>>= 0) {
var u = { featureLevel: Iu[(d(), I)[n + 4 >>> 2 >>> 0]], powerPreference: Lu[(d(), I)[n + 8 >>> 2 >>> 0]], forceFallbackAdapter: !!(d(), E)[n + 12 >>> 2 >>> 0] };
(e = (d(), E)[n >>> 2 >>> 0]) !== 0 && (d(), u.Ye = !!(d(), E)[e + 8 >>> 2 >>> 0]);
}
"gpu" in navigator ? (z += 1, ht(t, navigator.gpu.requestAdapter(u).then((c) => {
--z, me(() => {
if (c) fe[o >>> 0] = c, St(t, 1, o, 0);
else {
var h = P(), m = Ce("WebGPU not available on this browser (requestAdapter returned null)");
St(t, 3, o, m), D(h);
}
});
}, (c) => {
--z, me(() => {
var h = P(), m = Ce(c.message);
St(t, 4, o, m), D(h);
});
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function qu(e, t, n) {
return e >>>= 0, t >>>= 0, n >>>= 0, Yn(async () => {
var o = [];
if (n) {
var u = (d(), I)[n >>> 2 >>> 0];
o.length = t + 1, o[t] = new Promise((m) => setTimeout(m, u, 0));
} else o.length = t;
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var h = mt(e + 8 * c);
if (!(h in Gt)) return h;
o[c] = Gt[h];
}
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});
}
var _r, Rr = {}, lo = () => {
if (!_r) {
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 Rr) Rr[e] === void 0 ? delete t[e] : t[e] = Rr[e];
var n = [];
for (e in t) n.push(`${e}=${t[e]}`);
_r = n;
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return _r;
};
function po(e, t) {
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var n, o = 0, u = 0;
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return 0;
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function mo(e, t) {
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var n = lo();
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return (d(), E)[t >>> 2 >>> 0] = e, 0;
}
function ho(e) {
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function yo(e, t, n, o) {
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function wo(e, t, n, o) {
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for (var u = 0, c = 0; c < n; c++) {
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t += 8;
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function Ju(e) {
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function Zu(e, t) {
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function Ku(e) {
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function Qu(e) {
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function ef(e, t) {
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var n = Ie(t + 4);
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function tf(e, t, n, o) {
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function rf(e, t, n, o, u, c) {
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function nf(e) {
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function of(e, t, n, o, u, c) {
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function af(e, t, n, o) {
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function sf(e, t, n) {
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function uf(e) {
B(e >>> 0).end();
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function ff(e, t, n, o, u) {
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function cf(e, t) {
B(e >>> 0).setPipeline(B(t >>> 0));
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function df(e, t, n) {
B(e >>> 0).Xe(B(t >>> 0), n);
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function lf(e, t) {
function n(u) {
var c = (d(), E)[u + 8 >>> 2 >>> 0], h = (d(), E)[u + 32 >>> 2 >>> 0], m = (d(), E)[u + 36 >>> 2 >>> 0], y = 0;
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y = (d(), E)[x + 8 >>> 2 >>> 0];
} }), c ? ((h = mt(u + 24)) == -1 && (h = void 0), c = { buffer: B(c), offset: mt(u + 16), size: h }) : c = B(h || m || y), { binding: (d(), E)[u + 4 >>> 2 >>> 0], resource: c };
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e >>>= 0, t = { label: Ie((t >>>= 0) + 4), layout: B((d(), E)[t + 12 >>> 2 >>> 0]), entries: (function(u, c) {
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return h;
})((d(), E)[t + 16 >>> 2 >>> 0], (d(), E)[t + 20 >>> 2 >>> 0]) }, e = B(e);
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function pf(e, t) {
function n(y) {
var x = (d(), E)[y + 4 >>> 2 >>> 0];
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function o(y) {
if (y = (d(), E)[y + 4 >>> 2 >>> 0]) return { type: Ou[y] };
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function u(y) {
var x = (d(), E)[y + 4 >>> 2 >>> 0];
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function c(y) {
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function h(y) {
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function mf(e, t) {
var n;
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function hf(e, t) {
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function bf(e, t) {
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var n = B(e);
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function gf(e, t) {
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B(e >>> 0).pushErrorScope(Au[t]);
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function Ef(e, t, n) {
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we(`invalid type for getValue: ${t}`);
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w = j()._malloc(g * j().PTR_SIZE), s.push(w), S = j()._malloc(g * j().PTR_SIZE), s.push(S);
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Ot(s, "enableGraphCapture", i.enableGraphCapture.toString(), f);
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return new Uint8Array(await r(a));
} catch (r) {
if (r.code === "ERR_FS_FILE_TOO_LARGE") {
let { createReadStream: s } = Xr("node:fs"), f = s(a), i = [];
for await (let p of f) i.push(p);
return new Uint8Array(Buffer.concat(i));
}
throw r;
}
else {
let r = await fetch(a);
if (!r.ok) throw new Error(`failed to load external data file: ${a}`);
let s = r.headers.get("Content-Length"), f = s ? parseInt(s, 10) : 0;
if (f < 1073741824) return new Uint8Array(await r.arrayBuffer());
{
if (!r.body) throw new Error(`failed to load external data file: ${a}, no response body.`);
let i = r.body.getReader(), p;
try {
p = new ArrayBuffer(f);
} catch (b) {
if (b instanceof RangeError) {
let g = Math.ceil(f / 65536);
p = new WebAssembly.Memory({ initial: g, maximum: g }).buffer;
} else throw b;
}
let l = 0;
for (; ; ) {
let { done: b, value: g } = await i.read();
if (b) break;
let w = g.byteLength;
new Uint8Array(p, l, w).set(g), l += w;
}
return new Uint8Array(p, 0, f);
}
}
else return a instanceof Blob ? new Uint8Array(await a.arrayBuffer()) : a instanceof Uint8Array ? a : new Uint8Array(a);
};
});
var Ls;
var Bs = G(() => {
"use strict";
ut();
Ls = (a, r) => new (it(r))(a);
});
var Cc;
var Dc;
var Os;
var Ms;
var Cs;
var Pc;
var le;
var dn = G(() => {
"use strict";
ut();
Cc = ["V", "I", "W", "E", "F"], Dc = (a, r) => {
console.log(`[${Cc[a]},${(/* @__PURE__ */ new Date()).toISOString()}]${r}`);
}, Cs = (a, r) => {
Os = a, Ms = r;
}, Pc = (a, r) => {
let s = Mt(a), f = Mt(Os);
s >= f && Dc(s, typeof r == "function" ? r() : r);
}, le = (...a) => {
Ms && Pc(...a);
};
});
var Ps;
var Uc;
var Us;
var _c;
var Ds;
var Rc;
var _s;
var dr;
var lr;
var ln;
var Rs;
var Ns = G(() => {
"use strict";
ut();
dn();
Ps = /* @__PURE__ */ new Map([["float32", 32], ["float16", 16], ["int32", 32], ["uint32", 32], ["int64", 64], ["uint64", 64], ["int8", 8], ["uint8", 8], ["int4", 4], ["uint4", 4]]), Uc = (a, r) => {
if (r === "int32") return a;
let s = Ps.get(r);
if (!s) throw new Error(`WebNN backend does not support data type: ${r}`);
let f = s / 8;
if (a.byteLength % f !== 0) throw new Error(`Invalid Uint8Array length - must be a multiple of ${f}.`);
let i = a.byteLength / f, p = new (it(r))(a.buffer, a.byteOffset, i);
switch (r) {
case "int64":
case "uint64": {
let l = new Int32Array(i);
for (let b = 0; b < i; b++) {
let g = p[b];
if (g > 2147483647n || g < -2147483648n) throw new Error("Can not convert int64 data to int32 - value out of range.");
l[b] = Number(g);
}
return new Uint8Array(l.buffer);
}
case "int8":
case "uint8":
case "uint32": {
if (r === "uint32" && p.some((b) => b > 2147483647)) throw new Error("Can not convert uint32 data to int32 - value out of range.");
let l = Int32Array.from(p, Number);
return new Uint8Array(l.buffer);
}
default:
throw new Error(`Unsupported data conversion from ${r} to 'int32'`);
}
}, Us = (a, r) => {
if (r === "int32") return a;
if (a.byteLength % 4 !== 0) throw new Error("Invalid Uint8Array length - must be a multiple of 4 (int32).");
let s = a.byteLength / 4, f = new Int32Array(a.buffer, a.byteOffset, s);
switch (r) {
case "int64": {
let i = BigInt64Array.from(f, BigInt);
return new Uint8Array(i.buffer);
}
case "uint64": {
if (f.some((p) => p < 0)) throw new Error("Can not convert int32 data to uin64 - negative value found.");
let i = BigUint64Array.from(f, BigInt);
return new Uint8Array(i.buffer);
}
case "int8": {
if (f.some((p) => p < -128 || p > 127)) throw new Error("Can not convert int32 data to int8 - value out of range.");
let i = Int8Array.from(f, Number);
return new Uint8Array(i.buffer);
}
case "uint8": {
if (f.some((i) => i < 0 || i > 255)) throw new Error("Can not convert int32 data to uint8 - value out of range.");
return Uint8Array.from(f, Number);
}
case "uint32": {
if (f.some((p) => p < 0)) throw new Error("Can not convert int32 data to uint32 - negative value found.");
let i = Uint32Array.from(f, Number);
return new Uint8Array(i.buffer);
}
default:
throw new Error(`Unsupported data conversion from 'int32' to ${r}`);
}
}, _c = 1, Ds = () => _c++, Rc = /* @__PURE__ */ new Map([["int8", "int32"], ["uint8", "int32"], ["uint32", "int32"], ["int64", "int32"]]), _s = (a, r) => {
let s = Ps.get(a);
if (!s) throw new Error(`WebNN backend does not support data type: ${a}`);
return r.length > 0 ? Math.ceil(r.reduce((f, i) => f * i) * s / 8) : 0;
}, dr = class {
constructor(r) {
this.isDataConverted = false;
let { sessionId: s, context: f, tensor: i, dataType: p, shape: l, fallbackDataType: b } = r;
this.sessionId = s, this.mlContext = f, this.mlTensor = i, this.dataType = p, this.tensorShape = l, this.fallbackDataType = b;
}
get tensor() {
return this.mlTensor;
}
get type() {
return this.dataType;
}
get fallbackType() {
return this.fallbackDataType;
}
get shape() {
return this.tensorShape;
}
get byteLength() {
return _s(this.dataType, this.tensorShape);
}
destroy() {
le("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 = Us(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 new Uint8Array(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, p) => i === f[p]);
}
setIsDataConverted(r) {
this.isDataConverted = r;
}
}, lr = 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 p = this.tensorManager.getMLContext(r), l = this.tensorManager.getMLOpSupportLimits(r), b;
if (!l?.input.dataTypes.includes(s)) {
if (b = Rc.get(s), !b || !l?.input.dataTypes.includes(b)) throw new Error(`WebNN backend does not support data type: ${s}`);
le("verbose", () => `[WebNN] TensorIdTracker.ensureTensor: fallback dataType from ${s} to ${b}`);
}
if (this.wrapper) {
if (this.wrapper.canReuseTensor(p, s, f)) return this.wrapper.tensor;
if (i) {
if (this.wrapper.byteLength !== _s(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 g = typeof MLTensorUsage > "u" ? void 0 : MLTensorUsage.READ | MLTensorUsage.WRITE;
return this.wrapper = await this.tensorManager.getCachedTensor(r, s, f, g, true, true, b), 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 = Uc(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 le("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 ? Us(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();
}
}, ln = 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 = Ds();
return this.tensorTrackersById.set(r, new lr(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, p) {
le("verbose", () => `[WebNN] TensorManager.ensureTensor {tensorId: ${s}, dataType: ${f}, shape: ${i}, copyOld: ${p}}`);
let l = this.tensorTrackersById.get(s);
if (!l) throw new Error("Tensor not found.");
return l.ensureTensor(r, f, i, p);
}
upload(r, s) {
let f = this.tensorTrackersById.get(r);
if (!f) throw new Error("Tensor not found.");
f.upload(s);
}
async download(r, s) {
le("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 p = this.getMLContext(r), l = Ds(), b = new dr({ sessionId: r, context: p, tensor: s, dataType: f, shape: i });
return this.tensorTrackersById.set(l, new lr(this, b)), this.externalTensors.add(b), l;
}
async getCachedTensor(r, s, f, i, p, l, b) {
let g = this.getMLContext(r);
for (let [S, v] of this.freeTensors.entries()) if (v.canReuseTensor(g, s, f)) {
le("verbose", () => `[WebNN] Reusing tensor {dataType: ${s}, ${b ? `fallbackDataType: ${b},` : ""} shape: ${f}`);
let T = this.freeTensors.splice(S, 1)[0];
return T.sessionId = r, T;
}
le("verbose", () => `[WebNN] MLContext.createTensor {dataType: ${s}, ${b ? `fallbackDataType: ${b},` : ""} shape: ${f}}`);
let w = await g.createTensor({ dataType: b ?? s, shape: f, dimensions: f, usage: i, writable: p, readable: l });
return new dr({ sessionId: r, context: g, tensor: w, dataType: s, shape: f, fallbackDataType: b });
}
releaseTensor(r) {
this.externalTensors.has(r) && this.externalTensors.delete(r), this.freeTensors.push(r);
}
}, Rs = (...a) => new ln(...a);
});
var Ws = {};
At(Ws, { WebNNBackend: () => pn });
var pr;
var Nc;
var pn;
var ks = G(() => {
"use strict";
ut();
Ve();
Bs();
Ns();
dn();
pr = /* @__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"]]), Nc = (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, p) => i === f[p] && a[i] === r[i]);
}, pn = class {
constructor(r) {
this.tensorManager = Rs(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();
Cs(r.logLevel, !!r.debug);
}
get currentSessionId() {
if (this.activeSessionId === void 0) throw new Error("No active session");
return this.activeSessionId;
}
onRunStart(r) {
le("verbose", () => `[WebNN] onRunStart {sessionId: ${r}}`), this.activeSessionId = r;
}
onRunEnd(r) {
le("verbose", () => `[WebNN] onRunEnd {sessionId: ${r}}`);
let s = this.temporarySessionTensorIds.get(r);
if (s) {
for (let f of s) le("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) => Nc(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((p) => p.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) {
le("verbose", () => `[WebNN] releaseTensorId {tensorId: ${r}}`), this.tensorManager.releaseTensorId(r);
}
async ensureTensor(r, s, f, i, p) {
let l = pr.get(f);
if (!l) throw new Error(`Unsupported ONNX data type: ${f}`);
return this.tensorManager.ensureTensor(r ?? this.currentSessionId, s, l, i, p);
}
async createTemporaryTensor(r, s, f) {
le("verbose", () => `[WebNN] createTemporaryTensor {onnxDataType: ${s}, shape: ${f}}`);
let i = pr.get(s);
if (!i) throw new Error(`Unsupported ONNX data type: ${s}`);
let p = this.tensorManager.reserveTensorId();
await this.tensorManager.ensureTensor(r, p, i, f, false);
let l = this.temporarySessionTensorIds.get(r);
return l ? l.push(p) : this.temporarySessionTensorIds.set(r, [p]), p;
}
uploadTensor(r, s) {
if (!j().shouldTransferToMLTensor) throw new Error("Trying to upload to a MLTensor while shouldTransferToMLTensor is false");
le("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 Ls(f, s);
};
}
registerMLTensor(r, s, f, i) {
let p = pr.get(f);
if (!p) throw new Error(`Unsupported ONNX data type: ${f}`);
let l = this.tensorManager.registerTensor(r, s, p, i);
return le("verbose", () => `[WebNN] registerMLTensor {tensor: ${s}, dataType: ${p}, dimensions: ${i}} -> {tensorId: ${l}}`), l;
}
registerGraphInput(r) {
this.temporaryGraphInputs.push(r);
}
registerGraphOutput(r) {
this.temporaryGraphOutputs.push(r);
}
isGraphInput(r, s) {
let f = this.sessionGraphInputs.get(r);
return f ? f.includes(s) : false;
}
isGraphOutput(r, s) {
let f = this.sessionGraphOutputs.get(r);
return f ? f.includes(s) : false;
}
isGraphInputOutputTypeSupported(r, s, f = true) {
let i = pr.get(He(s)), p = this.mlOpSupportLimitsBySessionId.get(r);
return typeof i > "u" ? false : f ? !!p?.input.dataTypes.includes(i) : !!p?.output.dataTypes.includes(i);
}
flush() {
}
};
});
var Wc;
var Qt;
var er;
var ft;
var kc;
var Fs;
var Lt;
var tr;
var rr;
var Gs;
var nr;
var or;
var ar;
var nn = G(() => {
"use strict";
ze();
xs();
Is();
ut();
Ve();
ir();
cn();
Wc = (a, r) => {
j()._OrtInit(a, r) !== 0 && V("Can't initialize onnxruntime.");
}, Qt = async (a) => {
Wc(a.wasm.numThreads, Mt(a.logLevel));
}, er = async (a, r) => {
j().asyncInit?.();
let s = a.webgpu.adapter;
if (r === "webgpu") {
if (typeof navigator > "u" || !navigator.gpu) throw new Error("WebGPU is not supported in current environment");
if (s) {
if (typeof s.limits != "object" || typeof s.features != "object" || typeof s.requestDevice != "function") throw new Error("Invalid GPU adapter set in `env.webgpu.adapter`. It must be a GPUAdapter object.");
} else {
let f = a.webgpu.powerPreference;
if (f !== void 0 && f !== "low-power" && f !== "high-performance") throw new Error(`Invalid powerPreference setting: "${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" && j().webgpuInit((f) => {
a.webgpu.device = f;
}), r === "webnn") {
let f = new (ks(), Ht(Ws)).WebNNBackend(a);
j().webnnInit([f, () => f.reserveTensorId(), (i) => f.releaseTensorId(i), async (i, p, l, b, g) => f.ensureTensor(i, p, l, b, g), (i, p) => {
f.uploadTensor(i, p);
}, async (i, p) => f.downloadTensor(i, p), (i, p) => f.registerMLContext(i, p), !!a.trace]);
}
}, ft = /* @__PURE__ */ new Map(), kc = (a) => {
let r = j(), s = r.stackSave();
try {
let f = r.PTR_SIZE, i = r.stackAlloc(2 * f);
r._OrtGetInputOutputCount(a, i, i + f) !== 0 && V("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);
}
}, Fs = (a, r) => {
let s = j(), f = s.stackSave(), i = 0;
try {
let p = s.PTR_SIZE, l = s.stackAlloc(2 * p);
s._OrtGetInputOutputMetadata(a, r, l, l + p) !== 0 && V("Can't get session input/output metadata.");
let g = Number(s.getValue(l, "*"));
i = Number(s.getValue(l + p, "*"));
let w = s.HEAP32[i / 4];
if (w === 0) return [g, 0];
let S = s.HEAPU32[i / 4 + 1], v = [];
for (let T = 0; T < S; T++) {
let A = Number(s.getValue(i + 8 + T * p, "*"));
v.push(A !== 0 ? s.UTF8ToString(A) : Number(s.getValue(i + 8 + (T + S) * p, "*")));
}
return [g, w, v];
} finally {
s.stackRestore(f), i !== 0 && s._OrtFree(i);
}
}, Lt = (a) => {
let r = j(), 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];
}, tr = async (a, r) => {
let s, f, i = j();
Array.isArray(a) ? [s, f] = a : a.buffer === i.HEAPU8.buffer ? [s, f] = [a.byteOffset, a.byteLength] : [s, f] = Lt(a);
let p = 0, l = 0, b = 0, g = [], w = [], S = [];
try {
if ([l, g] = await As(r), r?.externalData && i.mountExternalData) {
let O = [];
for (let $ of r.externalData) {
let oe = typeof $ == "string" ? $ : $.path, d = typeof $ == "string" ? $ : $.data;
O.push(Ct(d).then((te) => {
i.mountExternalData(oe, te);
}));
}
await Promise.all(O);
}
for (let O of r?.executionProviders ?? []) if ((typeof O == "string" ? O : O.name) === "webnn") {
if (i.shouldTransferToMLTensor = false, typeof O != "string") {
let oe = O, d = oe?.context, te = oe?.gpuDevice, Z = oe?.deviceType, X = oe?.powerPreference;
d ? i.currentContext = d : te ? i.currentContext = await i.webnnCreateMLContext(te) : i.currentContext = await i.webnnCreateMLContext({ deviceType: Z, powerPreference: X });
} else i.currentContext = await i.webnnCreateMLContext();
break;
}
p = await i._OrtCreateSession(s, f, l), i.webgpuOnCreateSession?.(p), p === 0 && V("Can't create a session."), i.jsepOnCreateSession?.(), i.currentContext && (i.webnnRegisterMLContext(p, i.currentContext), i.currentContext = void 0, i.shouldTransferToMLTensor = true);
let [v, T] = kc(p), A = !!r?.enableGraphCapture, C = [], _ = [], k = [], U = [], M = [];
for (let O = 0; O < v; O++) {
let [$, oe, d] = Fs(p, O);
$ === 0 && V("Can't get an input name."), w.push($);
let te = i.UTF8ToString($);
C.push(te), k.push(oe === 0 ? { name: te, isTensor: false } : { name: te, isTensor: true, type: ur(oe), shape: d });
}
for (let O = 0; O < T; O++) {
let [$, oe, d] = Fs(p, O + v);
$ === 0 && V("Can't get an output name."), S.push($);
let te = i.UTF8ToString($);
_.push(te), U.push(oe === 0 ? { name: te, isTensor: false } : { name: te, isTensor: true, type: ur(oe), shape: d });
{
if (A && r?.preferredOutputLocation === void 0) {
M.push("gpu-buffer");
continue;
}
let Z = typeof r?.preferredOutputLocation == "string" ? r.preferredOutputLocation : r?.preferredOutputLocation?.[te] ?? "cpu", X = i.webnnIsGraphOutput;
if (Z === "cpu" && X && X(p, te)) {
M.push("ml-tensor-cpu-output");
continue;
}
if (Z !== "cpu" && Z !== "cpu-pinned" && Z !== "gpu-buffer" && Z !== "ml-tensor") throw new Error(`Not supported preferred output location: ${Z}.`);
if (A && Z !== "gpu-buffer") throw new Error(`Not supported preferred output location: ${Z}. Only 'gpu-buffer' location is supported when enableGraphCapture is true.`);
M.push(Z);
}
}
let Y = null;
return M.some((O) => O === "gpu-buffer" || O === "ml-tensor" || O === "ml-tensor-cpu-output") && (b = i._OrtCreateBinding(p), b === 0 && V("Can't create IO binding."), Y = { handle: b, outputPreferredLocations: M, outputPreferredLocationsEncoded: M.map((O) => O === "ml-tensor-cpu-output" ? "ml-tensor" : O).map((O) => fn(O)) }), ft.set(p, [p, w, S, Y, A, false]), [p, C, _, k, U];
} catch (v) {
throw w.forEach((T) => i._OrtFree(T)), S.forEach((T) => i._OrtFree(T)), b !== 0 && i._OrtReleaseBinding(b) !== 0 && V("Can't release IO binding."), p !== 0 && i._OrtReleaseSession(p) !== 0 && V("Can't release session."), v;
} finally {
i._free(s), l !== 0 && i._OrtReleaseSessionOptions(l) !== 0 && V("Can't release session options."), g.forEach((v) => i._free(v)), i.unmountExternalData?.();
}
}, rr = (a) => {
let r = j(), s = ft.get(a);
if (!s) throw new Error(`cannot release session. invalid session id: ${a}`);
let [f, i, p, l, b] = s;
l && (b && r._OrtClearBoundOutputs(l.handle) !== 0 && V("Can't clear bound outputs."), r._OrtReleaseBinding(l.handle) !== 0 && V("Can't release IO binding.")), r.jsepOnReleaseSession?.(a), r.webnnOnReleaseSession?.(a), r.webgpuOnReleaseSession?.(a), i.forEach((g) => r._OrtFree(g)), p.forEach((g) => r._OrtFree(g)), r._OrtReleaseSession(f) !== 0 && V("Can't release session."), ft.delete(a);
}, Gs = async (a, r, s, f, i, p, l = false) => {
if (!a) {
r.push(0);
return;
}
let b = j(), g = b.PTR_SIZE, w = a[0], S = a[1], v = a[3], T = v, A, C;
if (w === "string" && (v === "gpu-buffer" || v === "ml-tensor")) throw new Error("String tensor is not supported on GPU.");
if (l && v !== "gpu-buffer") throw new Error(`External buffer must be provided for input/output index ${p} when enableGraphCapture is true.`);
if (v === "gpu-buffer") {
let U = a[2].gpuBuffer;
C = bt(He(w), S);
{
let M = b.webgpuRegisterBuffer;
if (!M) throw new Error('Tensor location "gpu-buffer" is not supported without using WebGPU.');
A = M(U, f);
}
} else if (v === "ml-tensor") {
let U = a[2].mlTensor;
C = bt(He(w), S);
let M = b.webnnRegisterMLTensor;
if (!M) throw new Error('Tensor location "ml-tensor" is not supported without using WebNN.');
A = M(f, U, He(w), S);
} else {
let U = a[2];
if (Array.isArray(U)) {
C = g * U.length, A = b._malloc(C), s.push(A);
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`);
b.setValue(A + M * g, be(U[M], s), "*");
}
} else {
let M = b.webnnIsGraphInput, Y = b.webnnIsGraphOutput;
if (w !== "string" && M && Y) {
let O = b.UTF8ToString(i);
if (M(f, O) || Y(f, O)) {
let $ = He(w);
C = bt($, S), T = "ml-tensor";
let oe = b.webnnCreateTemporaryTensor, d = b.webnnUploadTensor;
if (!oe || !d) throw new Error('Tensor location "ml-tensor" is not supported without using WebNN.');
let te = await oe(f, $, S);
d(te, new Uint8Array(U.buffer, U.byteOffset, U.byteLength)), A = te;
} else C = U.byteLength, A = b._malloc(C), s.push(A), b.HEAPU8.set(new Uint8Array(U.buffer, U.byteOffset, C), A);
} else C = U.byteLength, A = b._malloc(C), s.push(A), b.HEAPU8.set(new Uint8Array(U.buffer, U.byteOffset, C), A);
}
}
let _ = b.stackSave(), k = b.stackAlloc(4 * S.length);
try {
S.forEach((M, Y) => b.setValue(k + Y * g, M, g === 4 ? "i32" : "i64"));
let U = b._OrtCreateTensor(He(w), A, C, k, S.length, fn(T));
U === 0 && V(`Can't create tensor for input/output. session=${f}, index=${p}.`), r.push(U);
} finally {
b.stackRestore(_);
}
}, nr = async (a, r, s, f, i, p) => {
let l = j(), b = l.PTR_SIZE, g = ft.get(a);
if (!g) throw new Error(`cannot run inference. invalid session id: ${a}`);
let w = g[0], S = g[1], v = g[2], T = g[3], A = g[4], C = g[5], _ = r.length, k = f.length, U = 0, M = [], Y = [], O = [], $ = [], oe = [], d = l.stackSave(), te = l.stackAlloc(_ * b), Z = l.stackAlloc(_ * b), X = l.stackAlloc(k * b), De = l.stackAlloc(k * b);
try {
[U, M] = Ss(p), Ge("wasm prepareInputOutputTensor");
for (let R = 0; R < _; R++) await Gs(s[R], Y, $, a, S[r[R]], r[R], A);
for (let R = 0; R < k; R++) await Gs(i[R], O, $, a, v[f[R]], _ + f[R], A);
$e("wasm prepareInputOutputTensor");
for (let R = 0; R < _; R++) l.setValue(te + R * b, Y[R], "*"), l.setValue(Z + R * b, S[r[R]], "*");
for (let R = 0; R < k; R++) l.setValue(X + R * b, O[R], "*"), l.setValue(De + R * b, v[f[R]], "*");
if (T && !C) {
let { handle: R, outputPreferredLocations: ae, outputPreferredLocationsEncoded: pe } = T;
if (S.length !== _) throw new Error(`input count from feeds (${_}) is expected to be always equal to model's input count (${S.length}).`);
Ge("wasm bindInputsOutputs");
for (let J = 0; J < _; J++) {
let ge = r[J];
await l._OrtBindInput(R, S[ge], Y[J]) !== 0 && V(`Can't bind input[${J}] for session=${a}.`);
}
for (let J = 0; J < k; J++) {
let ge = f[J];
i[J]?.[3] ? (oe.push(O[J]), l._OrtBindOutput(R, v[ge], O[J], 0) !== 0 && V(`Can't bind pre-allocated output[${J}] for session=${a}.`)) : l._OrtBindOutput(R, v[ge], 0, pe[ge]) !== 0 && V(`Can't bind output[${J}] to ${ae[J]} for session=${a}.`);
}
$e("wasm bindInputsOutputs"), ft.set(a, [w, S, v, T, A, true]);
}
l.jsepOnRunStart?.(w), l.webnnOnRunStart?.(w);
let K;
T ? K = await l._OrtRunWithBinding(w, T.handle, k, X, U) : K = await l._OrtRun(w, Z, te, _, De, k, X, U), K !== 0 && V("failed to call OrtRun().");
let I = [], E = [];
Ge("wasm ProcessOutputTensor");
for (let R = 0; R < k; R++) {
let ae = Number(l.getValue(X + R * b, "*"));
if (ae === O[R] || oe.includes(O[R])) {
I.push(i[R]), ae !== O[R] && l._OrtReleaseTensor(ae) !== 0 && V("Can't release tensor.");
continue;
}
let pe = l.stackSave(), J = l.stackAlloc(4 * b), ge = false, ne, se = 0;
try {
l._OrtGetTensorData(ae, J, J + b, J + 2 * b, J + 3 * b) !== 0 && V(`Can't access output tensor data on index ${R}.`);
let we = b === 4 ? "i32" : "i64", qe = Number(l.getValue(J, we));
se = l.getValue(J + b, "*");
let wt = l.getValue(J + b * 2, "*"), Tt = Number(l.getValue(J + b * 3, we)), Se = [];
for (let re = 0; re < Tt; re++) Se.push(Number(l.getValue(wt + re * b, we)));
l._OrtFree(wt) !== 0 && V("Can't free memory for tensor dims.");
let xe = Se.reduce((re, Q) => re * Q, 1);
ne = ur(qe);
let Be = T?.outputPreferredLocations[f[R]];
if (ne === "string") {
if (Be === "gpu-buffer" || Be === "ml-tensor") throw new Error("String tensor is not supported on GPU.");
let re = [];
for (let Q = 0; Q < xe; Q++) {
let z = l.getValue(se + Q * b, "*"), H = l.getValue(se + (Q + 1) * b, "*"), Ye = Q === xe - 1 ? void 0 : H - z;
re.push(l.UTF8ToString(z, Ye));
}
I.push([ne, Se, re, "cpu"]);
} else if (Be === "gpu-buffer" && xe > 0) {
let re = l.webgpuGetBuffer;
if (!re) throw new Error('preferredLocation "gpu-buffer" is not supported without using WebGPU.');
let Q = re(se), z = bt(qe, xe);
if (z === void 0 || !fr(ne)) throw new Error(`Unsupported data type: ${ne}`);
ge = true;
{
l.webgpuRegisterBuffer(Q, a, se);
let H = l.webgpuCreateDownloader(Q, z, a);
I.push([ne, Se, { gpuBuffer: Q, download: async () => {
let Ye = await H();
return new (it(ne))(Ye);
}, dispose: () => {
l._OrtReleaseTensor(ae) !== 0 && V("Can't release tensor.");
} }, "gpu-buffer"]);
}
} else if (Be === "ml-tensor" && xe > 0) {
let re = l.webnnEnsureTensor, Q = l.webnnIsGraphInputOutputTypeSupported;
if (!re || !Q) throw new Error('preferredLocation "ml-tensor" is not supported without using WebNN.');
if (bt(qe, xe) === void 0 || !cr(ne)) throw new Error(`Unsupported data type: ${ne}`);
if (!Q(a, ne, false)) throw new Error(`preferredLocation "ml-tensor" for ${ne} output is not supported by current WebNN Context.`);
let H = await re(a, se, qe, Se, false);
ge = true, I.push([ne, Se, { mlTensor: H, download: l.webnnCreateMLTensorDownloader(se, ne), dispose: () => {
l.webnnReleaseTensorId(se), l._OrtReleaseTensor(ae);
} }, "ml-tensor"]);
} else if (Be === "ml-tensor-cpu-output" && xe > 0) {
let re = l.webnnCreateMLTensorDownloader(se, ne)(), Q = I.length;
ge = true, E.push((async () => {
let z = [Q, await re];
return l.webnnReleaseTensorId(se), l._OrtReleaseTensor(ae), z;
})()), I.push([ne, Se, [], "cpu"]);
} else {
let re = it(ne), Q = new re(xe);
new Uint8Array(Q.buffer, Q.byteOffset, Q.byteLength).set(l.HEAPU8.subarray(se, se + Q.byteLength)), I.push([ne, Se, Q, "cpu"]);
}
} finally {
l.stackRestore(pe), ne === "string" && se && l._free(se), ge || l._OrtReleaseTensor(ae);
}
}
T && !A && (l._OrtClearBoundOutputs(T.handle) !== 0 && V("Can't clear bound outputs."), ft.set(a, [w, S, v, T, A, false]));
for (let [R, ae] of await Promise.all(E)) I[R][2] = ae;
return $e("wasm ProcessOutputTensor"), I;
} finally {
l.webnnOnRunEnd?.(w), l.stackRestore(d), s.forEach((K) => {
K && K[3] === "gpu-buffer" && l.webgpuUnregisterBuffer(K[2].gpuBuffer);
}), i.forEach((K) => {
K && K[3] === "gpu-buffer" && l.webgpuUnregisterBuffer(K[2].gpuBuffer);
}), Y.forEach((K) => l._OrtReleaseTensor(K)), O.forEach((K) => l._OrtReleaseTensor(K)), $.forEach((K) => l._free(K)), U !== 0 && l._OrtReleaseRunOptions(U), M.forEach((K) => l._free(K));
}
}, or = (a) => {
let r = j(), s = ft.get(a);
if (!s) throw new Error("invalid session id");
let f = s[0], i = r._OrtEndProfiling(f);
i === 0 && V("Can't get an profile file name."), r._OrtFree(i);
}, ar = (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 ct;
var Ee;
var Dt;
var hr;
var br;
var mr;
var mn;
var hn;
var gt;
var yt;
var Gc;
var $s;
var zs;
var Vs;
var js;
var Hs;
var qs;
var Ys;
var bn = G(() => {
"use strict";
ze();
nn();
Ve();
Zt();
ct = () => !!ee.wasm.proxy && typeof document < "u", Dt = false, hr = false, br = false, hn = /* @__PURE__ */ new Map(), gt = (a, r) => {
let s = hn.get(a);
s ? s.push(r) : hn.set(a, [r]);
}, yt = () => {
if (Dt || !hr || br || !Ee) throw new Error("worker not ready");
}, Gc = (a) => {
switch (a.data.type) {
case "init-wasm":
Dt = false, a.data.err ? (br = true, mn[1](a.data.err)) : (hr = true, mn[0]()), mr && (URL.revokeObjectURL(mr), mr = void 0);
break;
case "init-ep":
case "copy-from":
case "create":
case "release":
case "run":
case "end-profiling": {
let r = hn.get(a.data.type);
a.data.err ? r.shift()[1](a.data.err) : r.shift()[0](a.data.out);
break;
}
default:
}
}, $s = async () => {
if (!hr) {
if (Dt) throw new Error("multiple calls to 'initWasm()' detected.");
if (br) throw new Error("previous call to 'initWasm()' failed.");
if (Dt = true, ct()) return new Promise((a, r) => {
Ee?.terminate(), Ts().then(([s, f]) => {
try {
Ee = f, Ee.onerror = (p) => r(p), Ee.onmessage = Gc, mn = [a, r];
let i = { type: "init-wasm", in: ee };
!i.in.wasm.wasmPaths && (s || an) && (i.in.wasm.wasmPaths = { wasm: new URL("ort-wasm-simd-threaded.asyncify.wasm", import.meta.url).href }), Ee.postMessage(i), mr = s;
} catch (i) {
r(i);
}
}, r);
});
try {
await Kt(ee.wasm), await Qt(ee), hr = true;
} catch (a) {
throw br = true, a;
} finally {
Dt = false;
}
}
}, zs = async (a) => {
if (ct()) return yt(), new Promise((r, s) => {
gt("init-ep", [r, s]);
let f = { type: "init-ep", in: { epName: a, env: ee } };
Ee.postMessage(f);
});
await er(ee, a);
}, Vs = async (a) => ct() ? (yt(), new Promise((r, s) => {
gt("copy-from", [r, s]);
let f = { type: "copy-from", in: { buffer: a } };
Ee.postMessage(f, [a.buffer]);
})) : Lt(a), js = async (a, r) => {
if (ct()) {
if (r?.preferredOutputLocation) throw new Error('session option "preferredOutputLocation" is not supported for proxy.');
return yt(), new Promise((s, f) => {
gt("create", [s, f]);
let i = { type: "create", in: { model: a, options: { ...r } } }, p = [];
a instanceof Uint8Array && p.push(a.buffer), Ee.postMessage(i, p);
});
} else return tr(a, r);
}, Hs = async (a) => {
if (ct()) return yt(), new Promise((r, s) => {
gt("release", [r, s]);
let f = { type: "release", in: a };
Ee.postMessage(f);
});
rr(a);
}, qs = async (a, r, s, f, i, p) => {
if (ct()) {
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, b) => {
gt("run", [l, b]);
let g = s, w = { type: "run", in: { sessionId: a, inputIndices: r, inputs: g, outputIndices: f, options: p } };
Ee.postMessage(w, ar(g));
});
} else return nr(a, r, s, f, i, p);
}, Ys = async (a) => {
if (ct()) return yt(), new Promise((r, s) => {
gt("end-profiling", [r, s]);
let f = { type: "end-profiling", in: a };
Ee.postMessage(f);
});
or(a);
};
});
var Js;
var $c;
var gr;
var Xs = G(() => {
"use strict";
ze();
bn();
ut();
Xt();
cn();
Js = (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()}`);
}
}, $c = (a) => {
switch (a[3]) {
case "cpu":
return new Le(a[0], a[2], a[1]);
case "gpu-buffer": {
let r = a[0];
if (!fr(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 (!cr(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: ${a[3]}`);
}
}, gr = class {
async fetchModelAndCopyToWasmMemory(r) {
return Vs(await Ct(r));
}
async loadModel(r, s) {
ot();
let f;
typeof r == "string" ? f = await this.fetchModelAndCopyToWasmMemory(r) : f = r, [this.sessionId, this.inputNames, this.outputNames, this.inputMetadata, this.outputMetadata] = await js(f, s), at();
}
async dispose() {
return Hs(this.sessionId);
}
async run(r, s, f) {
ot();
let i = [], p = [];
Object.entries(r).forEach((T) => {
let A = T[0], C = T[1], _ = this.inputNames.indexOf(A);
if (_ === -1) throw new Error(`invalid input '${A}'`);
i.push(C), p.push(_);
});
let l = [], b = [];
Object.entries(s).forEach((T) => {
let A = T[0], C = T[1], _ = this.outputNames.indexOf(A);
if (_ === -1) throw new Error(`invalid output '${A}'`);
l.push(C), b.push(_);
});
let g = i.map((T, A) => Js(T, () => `input "${this.inputNames[p[A]]}"`)), w = l.map((T, A) => T ? Js(T, () => `output "${this.outputNames[b[A]]}"`) : null), S = await qs(this.sessionId, p, g, b, w, f), v = {};
for (let T = 0; T < S.length; T++) v[this.outputNames[b[T]]] = l[T] ?? $c(S[T]);
return at(), v;
}
startProfiling() {
}
endProfiling() {
Ys(this.sessionId);
}
};
});
var Ks = {};
At(Ks, { OnnxruntimeWebAssemblyBackend: () => yr, initializeFlags: () => Zs, wasmBackend: () => zc });
var Zs;
var yr;
var zc;
var Qs = G(() => {
"use strict";
ze();
bn();
Xs();
Zs = () => {
(typeof ee.wasm.initTimeout != "number" || ee.wasm.initTimeout < 0) && (ee.wasm.initTimeout = 0);
let a = ee.wasm.simd;
if (typeof a != "boolean" && a !== void 0 && a !== "fixed" && a !== "relaxed" && (console.warn(`Property "env.wasm.simd" is set to unknown value "${a}". Reset it to \`false\` and ignore SIMD feature checking.`), ee.wasm.simd = false), typeof ee.wasm.proxy != "boolean" && (ee.wasm.proxy = false), typeof ee.wasm.trace != "boolean" && (ee.wasm.trace = false), typeof ee.wasm.numThreads != "number" || !Number.isInteger(ee.wasm.numThreads) || ee.wasm.numThreads <= 0) if (typeof self < "u" && !self.crossOriginIsolated) ee.wasm.numThreads = 1;
else {
let r = typeof navigator > "u" ? Xr("node:os").cpus().length : navigator.hardwareConcurrency;
ee.wasm.numThreads = Math.min(4, Math.ceil((r || 1) / 2));
}
}, yr = class {
async init(r) {
Zs(), await $s(), await zs(r);
}
async createInferenceSessionHandler(r, s) {
let f = new gr();
return await f.loadModel(r, s), f;
}
}, zc = new yr();
});
ze();
ze();
ze();
var is = "1.30.0";
{
let a = (Qs(), Ht(Ks)).wasmBackend;
rt("webgpu", a, 5), rt("webnn", a, 5), rt("cpu", a, 10), rt("wasm", a, 10);
}
Object.defineProperty(ee.versions, "web", { value: is, enumerable: true });
// src/calibration.json
var calibration_default = {
randomWalk: 0.8068229166666667,
measured: {
"Timestral-5M": {
randomWalk: {
mean: 0.8068229166666667,
min: 0.7520833333333333,
max: 0.8708333333333333,
n: 20
},
sine: {
mean: 0.930885416666667,
min: 0.7916666666666666,
max: 0.9895833333333334,
n: 20
},
flatThenJump: {
mean: 0.8483333333333333,
min: 0.6854166666666667,
max: 0.9854166666666667,
n: 20
},
noise: {
mean: 0.7763020833333334,
min: 0.7572916666666667,
max: 0.7927083333333333,
n: 20
}
},
"Timestral-28M": {
randomWalk: {
mean: 0.8169270833333334,
min: 0.746875,
max: 0.8802083333333334,
n: 20
},
sine: {
mean: 0.9510416666666668,
min: 0.884375,
max: 0.9979166666666667,
n: 20
},
flatThenJump: {
mean: 0.84734375,
min: 0.6552083333333333,
max: 0.9947916666666666,
n: 20
},
noise: {
mean: 0.80234375,
min: 0.7854166666666667,
max: 0.8260416666666667,
n: 20
}
}
}
};
// src/config.ts
var SAMPLE_HZ = 32;
var PATCH = 32;
var CONTEXT = 512;
var HORIZON = 32;
var NQ = 21;
var WARMUP = 2 * SAMPLE_HZ;
var PLAY = 30 * SAMPLE_HZ;
var REFERENCE = calibration_default.randomWalk;
// src/model/prep.ts
var MIN_SCALE = 1e-6;
var NP = CONTEXT / PATCH;
var TOKENS = NP + 1;
var EPS32 = 11920928955078125e-23;
var CAP_K = 1e4;
var f32 = Math.fround;
function padded(context) {
const out = new Float64Array(CONTEXT).fill(NaN);
const n = Math.min(context.length, CONTEXT);
for (let i = 0; i < n; i++) out[CONTEXT - n + i] = context[context.length - n + i];
return out;
}
function scaleRow(x, obs, out, offset) {
const locs = new Float64Array(CONTEXT);
const scales = new Float64Array(CONTEXT);
let cumW = 0, cumX = 0, m2 = 0, prev = 0;
for (let t = 0; t < CONTEXT; t++) {
const w = obs[t] ? 1 : 0;
const v = obs[t] ? x[t] : 0;
cumW += w;
cumX += w * v;
const den = Math.max(cumW, 1);
const mean = cumX / den;
m2 += (v - prev) * (v - mean) * w;
const variance = m2 / Math.max(den - 1, 1);
locs[t] = f32(mean);
scales[t] = f32(Math.max(Math.sqrt(variance), MIN_SCALE));
prev = mean;
}
for (let p = 0; p < NP; p++) {
const end = p * PATCH + PATCH - 1;
const loc = locs[end], sc = Math.max(scales[end], EPS32);
for (let k = 0; k < PATCH; k++) {
const t = p * PATCH + k;
out[offset + t] = obs[t] ? f32(Math.asinh(f32(f32(f32(x[t]) - loc) / sc))) : 0;
}
}
return { loc: locs[CONTEXT - 1], scale: scales[CONTEXT - 1] };
}
function prepareRows(context) {
const x = padded(context);
const obs = Array.from(x, (v) => Number.isFinite(v));
const scaled = new Float32Array(2 * CONTEXT);
const missing = new Float32Array(2 * CONTEXT);
const loc = [0, 0], scale = [0, 0];
const ctxMin = [0, 0], ctxMax = [0, 0];
let any = false, nonneg = true;
for (let r = 0; r < 2; r++) {
const row = Float64Array.from(x, (v) => Number.isFinite(v) ? r === 0 ? f32(v) : -f32(v) : 0);
const s = scaleRow(row, obs, scaled, r * CONTEXT);
loc[r] = s.loc;
scale[r] = s.scale;
let lo = Infinity, hi = -Infinity;
for (let t = 0; t < CONTEXT; t++) {
missing[r * CONTEXT + t] = obs[t] ? 0 : 1;
if (!obs[t]) continue;
lo = Math.min(lo, row[t]);
hi = Math.max(hi, row[t]);
if (r === 0) {
any = true;
if (row[t] < 0) nonneg = false;
}
}
ctxMin[r] = Number.isFinite(lo) ? lo : 0;
ctxMax[r] = Number.isFinite(hi) ? hi : 0;
}
const obsPatch = Array.from({ length: NP }, (_, p) => obs.slice(p * PATCH, (p + 1) * PATCH).some(Boolean));
let started = false;
const keyValid = obsPatch.map((o) => started = started || o);
const firstObs = Math.max(0, obsPatch.indexOf(true));
const timeMask = new Uint8Array(2 * TOKENS * TOKENS);
const positions = new BigInt64Array(2 * TOKENS);
for (let r = 0; r < 2; r++) {
for (let q = 0; q < TOKENS; q++) {
positions[r * TOKENS + q] = BigInt(q - firstObs);
for (let k = 0; k < TOKENS; k++) {
let v;
if (q < NP && k < NP) v = k <= q && keyValid[k] || q === k;
else if (q < NP) v = false;
else if (k < NP) v = keyValid[k];
else v = true;
timeMask[(r * TOKENS + q) * TOKENS + k] = v ? 1 : 0;
}
}
}
const variateMask = new Uint8Array(TOKENS * 4);
for (let s = 0; s < TOKENS; s++) variateMask.set([1, 0, 0, 1], s * 4);
return { scaled, missing, timeMask, variateMask, positions, loc, scale, ctxMin, ctxMax, nonnegative: any && nonneg };
}
function clampNonfinite(v, offset) {
let lo = Infinity, hi = -Infinity;
for (let j2 = 0; j2 < NQ; j2++) {
const x = v[offset + j2];
if (Number.isFinite(x)) {
lo = Math.min(lo, x);
hi = Math.max(hi, x);
}
}
for (let j2 = 0; j2 < NQ; j2++) {
const x = v[offset + j2];
if (x === Infinity) v[offset + j2] = Number.isFinite(hi) ? hi : 0;
else if (x === -Infinity) v[offset + j2] = Number.isFinite(lo) ? lo : 0;
}
}
function finishForecast(preds, p) {
const rows = [0, 1].map((r) => {
const out = new Float64Array(HORIZON * NQ);
const cap = p.scale[r] * CAP_K;
for (let h = 0; h < HORIZON; h++) {
for (let j2 = 0; j2 < NQ; j2++) {
const z = preds[(r * HORIZON + h) * NQ + j2];
if (Number.isNaN(z)) throw new Error("forecast produced NaN values; the input is degenerate");
out[h * NQ + j2] = f32(f32(Math.sinh(z)) * p.scale[r] + p.loc[r]);
}
clampNonfinite(out, h * NQ);
for (let j2 = 0; j2 < NQ; j2++) {
const v = out[h * NQ + j2];
out[h * NQ + j2] = Math.min(Math.max(v, p.ctxMin[r] - cap), p.ctxMax[r] + cap);
}
}
return out;
});
const q = new Float64Array(HORIZON * NQ);
for (let h = 0; h < HORIZON; h++) {
for (let j2 = 0; j2 < NQ; j2++) {
let v = 0.5 * (rows[0][h * NQ + j2] + -rows[1][h * NQ + (NQ - 1 - j2)]);
if (p.nonnegative) v = Math.max(v, 0);
q[h * NQ + j2] = v;
}
}
return q;
}
// src/model/session.ts
async function createWithFallback(create, backend) {
try {
return { session: await create(backend), backend };
} catch (err) {
if (backend === "wasm") throw err;
return { session: await create("wasm"), backend: "wasm" };
}
}
// src/model/worker.ts
ee.wasm.wasmPaths = new URL("./ort/", self.location.href).href;
ee.wasm.numThreads = 1;
var session = null;
var post = (m, transfer = []) => self.postMessage(m, transfer);
self.onmessage = async (e) => {
const msg = e.data;
try {
if (msg.type === "load") {
const bytes = msg.bytes ?? await (await fetch(msg.url)).arrayBuffer();
const bin = new Uint8Array(bytes);
const made = await createWithFallback((b) => bc.create(bin, { executionProviders: [b] }), msg.backend);
session = made.session;
post({ type: "loaded", backend: made.backend });
return;
}
if (!session) throw new Error("model not loaded");
const t0 = performance.now();
const p = prepareRows(msg.context);
const feeds = {
scaled: new Le("float32", p.scaled, [2, CONTEXT]),
missing: new Le("float32", p.missing, [2, CONTEXT]),
time_mask: new Le("bool", p.timeMask, [2, 1, TOKENS, TOKENS]),
variate_mask: new Le("bool", p.variateMask, [TOKENS, 1, 2, 2]),
positions: new Le("int64", p.positions, [2, TOKENS])
};
const out = await session.run(feeds);
const preds = out.preds.data;
if (preds.length !== 2 * HORIZON * NQ) throw new Error(`unexpected preds length ${preds.length}`);
const quantiles = finishForecast(preds, p);
post({ type: "result", id: msg.id, quantiles, ms: performance.now() - t0 }, [quantiles.buffer]);
} catch (err) {
post({ type: "error", id: msg.type === "forecast" ? msg.id : void 0, message: err instanceof Error ? err.message : String(err) });
}
};
/*! Bundled license information:
onnxruntime-web/dist/ort.webgpu.bundle.min.mjs:
(*!
* ONNX Runtime Web v1.30.0
* Copyright (c) Microsoft Corporation. All rights reserved.
* Licensed under the MIT License.
*)
*/
//# sourceMappingURL=worker.js.map