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https://github.com/denoland/deno.git
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356 lines
8.8 KiB
JavaScript
356 lines
8.8 KiB
JavaScript
// Copyright 2018-2024 the Deno authors. All rights reserved. MIT license.
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import { internals, primordials } from "ext:core/mod.js";
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import { op_image_decode_png, op_image_process } from "ext:core/ops";
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import * as webidl from "ext:deno_webidl/00_webidl.js";
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import { DOMException } from "ext:deno_web/01_dom_exception.js";
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import { createFilteredInspectProxy } from "ext:deno_console/01_console.js";
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import { BlobPrototype } from "ext:deno_web/09_file.js";
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import { sniffImage } from "ext:deno_web/01_mimesniff.js";
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const {
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ObjectPrototypeIsPrototypeOf,
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Symbol,
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SymbolFor,
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TypeError,
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TypedArrayPrototypeGetBuffer,
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Uint8Array,
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MathCeil,
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PromiseResolve,
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PromiseReject,
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RangeError,
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} = primordials;
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import {
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_data,
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_height,
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_width,
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ImageDataPrototype,
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} from "ext:deno_web/16_image_data.js";
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webidl.converters["ImageOrientation"] = webidl.createEnumConverter(
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"ImageOrientation",
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[
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"from-image",
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"flipY",
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],
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);
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webidl.converters["PremultiplyAlpha"] = webidl.createEnumConverter(
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"PremultiplyAlpha",
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[
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"none",
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"premultiply",
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"default",
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],
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);
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webidl.converters["ColorSpaceConversion"] = webidl.createEnumConverter(
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"ColorSpaceConversion",
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[
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"none",
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"default",
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],
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);
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webidl.converters["ResizeQuality"] = webidl.createEnumConverter(
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"ResizeQuality",
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[
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"pixelated",
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"low",
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"medium",
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"high",
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],
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);
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webidl.converters["ImageBitmapOptions"] = webidl.createDictionaryConverter(
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"ImageBitmapOptions",
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[
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{
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key: "imageOrientation",
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converter: webidl.converters["ImageOrientation"],
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defaultValue: "from-image",
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},
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{
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key: "premultiplyAlpha",
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converter: webidl.converters["PremultiplyAlpha"],
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defaultValue: "default",
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},
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{
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key: "colorSpaceConversion",
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converter: webidl.converters["ColorSpaceConversion"],
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defaultValue: "default",
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},
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{
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key: "resizeWidth",
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converter: (v, prefix, context, opts) =>
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webidl.converters["unsigned long"](v, prefix, context, {
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...opts,
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enforceRange: true,
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}),
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},
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{
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key: "resizeHeight",
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converter: (v, prefix, context, opts) =>
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webidl.converters["unsigned long"](v, prefix, context, {
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...opts,
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enforceRange: true,
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}),
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},
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{
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key: "resizeQuality",
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converter: webidl.converters["ResizeQuality"],
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defaultValue: "low",
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},
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],
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);
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const _bitmapData = Symbol("[[bitmapData]]");
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const _detached = Symbol("[[detached]]");
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class ImageBitmap {
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[_width];
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[_height];
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[_bitmapData];
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[_detached];
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constructor() {
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webidl.illegalConstructor();
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}
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get width() {
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webidl.assertBranded(this, ImageBitmapPrototype);
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if (this[_detached]) {
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return 0;
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}
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return this[_width];
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}
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get height() {
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webidl.assertBranded(this, ImageBitmapPrototype);
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if (this[_detached]) {
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return 0;
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}
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return this[_height];
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}
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close() {
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webidl.assertBranded(this, ImageBitmapPrototype);
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this[_detached] = true;
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this[_bitmapData] = null;
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}
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[SymbolFor("Deno.privateCustomInspect")](inspect, inspectOptions) {
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return inspect(
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createFilteredInspectProxy({
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object: this,
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evaluate: ObjectPrototypeIsPrototypeOf(ImageBitmapPrototype, this),
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keys: [
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"width",
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"height",
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],
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}),
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inspectOptions,
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);
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}
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}
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const ImageBitmapPrototype = ImageBitmap.prototype;
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function createImageBitmap(
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image,
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sxOrOptions = undefined,
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sy = undefined,
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sw = undefined,
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sh = undefined,
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options = undefined,
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) {
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const prefix = "Failed to execute 'createImageBitmap'";
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// Overload: createImageBitmap(image [, options ])
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if (arguments.length < 3) {
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options = webidl.converters["ImageBitmapOptions"](
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sxOrOptions,
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prefix,
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"Argument 2",
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);
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} else {
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// Overload: createImageBitmap(image, sx, sy, sw, sh [, options ])
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sxOrOptions = webidl.converters["long"](sxOrOptions, prefix, "Argument 2");
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sy = webidl.converters["long"](sy, prefix, "Argument 3");
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sw = webidl.converters["long"](sw, prefix, "Argument 4");
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sh = webidl.converters["long"](sh, prefix, "Argument 5");
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options = webidl.converters["ImageBitmapOptions"](
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options,
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prefix,
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"Argument 6",
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);
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if (sw === 0) {
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return PromiseReject(new RangeError("sw has to be greater than 0"));
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}
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if (sh === 0) {
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return PromiseReject(new RangeError("sh has to be greater than 0"));
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}
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}
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if (options.resizeWidth === 0) {
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return PromiseReject(
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new DOMException(
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"options.resizeWidth has to be greater than 0",
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"InvalidStateError",
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),
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);
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}
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if (options.resizeHeight === 0) {
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return PromiseReject(
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new DOMException(
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"options.resizeWidth has to be greater than 0",
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"InvalidStateError",
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),
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);
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}
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const imageBitmap = webidl.createBranded(ImageBitmap);
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if (ObjectPrototypeIsPrototypeOf(ImageDataPrototype, image)) {
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const processedImage = processImage(
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image[_data],
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image[_width],
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image[_height],
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sxOrOptions,
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sy,
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sw,
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sh,
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options,
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);
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imageBitmap[_bitmapData] = processedImage.data;
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imageBitmap[_width] = processedImage.outputWidth;
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imageBitmap[_height] = processedImage.outputHeight;
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return PromiseResolve(imageBitmap);
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}
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if (ObjectPrototypeIsPrototypeOf(BlobPrototype, image)) {
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return (async () => {
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const data = await image.arrayBuffer();
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const mimetype = sniffImage(image.type);
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if (mimetype !== "image/png") {
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throw new DOMException(
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`Unsupported type '${image.type}'`,
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"InvalidStateError",
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);
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}
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const { data: imageData, width, height } = op_image_decode_png(
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new Uint8Array(data),
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);
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const processedImage = processImage(
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imageData,
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width,
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height,
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sxOrOptions,
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sy,
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sw,
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sh,
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options,
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);
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imageBitmap[_bitmapData] = processedImage.data;
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imageBitmap[_width] = processedImage.outputWidth;
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imageBitmap[_height] = processedImage.outputHeight;
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return imageBitmap;
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})();
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} else {
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return PromiseReject(new TypeError("Invalid or unsupported image value"));
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}
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}
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function processImage(input, width, height, sx, sy, sw, sh, options) {
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let sourceRectangle;
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if (
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sx !== undefined && sy !== undefined && sw !== undefined && sh !== undefined
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) {
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sourceRectangle = [
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[sx, sy],
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[sx + sw, sy],
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[sx + sw, sy + sh],
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[sx, sy + sh],
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];
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} else {
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sourceRectangle = [
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[0, 0],
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[width, 0],
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[width, height],
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[0, height],
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];
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}
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const widthOfSourceRect = sourceRectangle[1][0] - sourceRectangle[0][0];
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const heightOfSourceRect = sourceRectangle[3][1] - sourceRectangle[0][1];
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let outputWidth;
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if (options.resizeWidth !== undefined) {
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outputWidth = options.resizeWidth;
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} else if (options.resizeHeight !== undefined) {
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outputWidth = MathCeil(
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(widthOfSourceRect * options.resizeHeight) / heightOfSourceRect,
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);
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} else {
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outputWidth = widthOfSourceRect;
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}
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let outputHeight;
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if (options.resizeHeight !== undefined) {
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outputHeight = options.resizeHeight;
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} else if (options.resizeWidth !== undefined) {
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outputHeight = MathCeil(
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(heightOfSourceRect * options.resizeWidth) / widthOfSourceRect,
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);
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} else {
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outputHeight = heightOfSourceRect;
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}
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if (options.colorSpaceConversion === "none") {
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throw new TypeError(
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"Cannot create image: invalid colorSpaceConversion option, 'none' is not supported",
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);
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}
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/*
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* The cropping works differently than the spec specifies:
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* The spec states to create an infinite surface and place the top-left corner
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* of the image a 0,0 and crop based on sourceRectangle.
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*
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* We instead create a surface the size of sourceRectangle, and position
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* the image at the correct location, which is the inverse of the x & y of
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* sourceRectangle's top-left corner.
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*/
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const data = op_image_process(
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new Uint8Array(TypedArrayPrototypeGetBuffer(input)),
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{
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width,
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height,
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surfaceWidth: widthOfSourceRect,
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surfaceHeight: heightOfSourceRect,
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inputX: sourceRectangle[0][0] * -1, // input_x
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inputY: sourceRectangle[0][1] * -1, // input_y
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outputWidth,
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outputHeight,
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resizeQuality: options.resizeQuality,
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flipY: options.imageOrientation === "flipY",
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premultiply: options.premultiplyAlpha === "default"
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? null
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: (options.premultiplyAlpha === "premultiply"),
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},
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);
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return {
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data,
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outputWidth,
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outputHeight,
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};
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}
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function getBitmapData(imageBitmap) {
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return imageBitmap[_bitmapData];
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}
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internals.getBitmapData = getBitmapData;
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export { _bitmapData, _detached, createImageBitmap, ImageBitmap };
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