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https://github.com/denoland/deno
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f5e46c9bf2
This looks like a massive PR, but it's only a move from cli/tests -> tests, and updates of relative paths for files. This is the first step towards aggregate all of the integration test files under tests/, which will lead to a set of integration tests that can run without the CLI binary being built. While we could leave these tests under `cli`, it would require us to keep a more complex directory structure for the various test runners. In addition, we have a lot of complexity to ignore various test files in the `cli` project itself (cargo publish exclusion rules, autotests = false, etc). And finally, the `tests/` folder will eventually house the `test_ffi`, `test_napi` and other testing code, reducing the size of the root repo directory. For easier review, the extremely large and noisy "move" is in the first commit (with no changes -- just a move), while the remainder of the changes to actual files is in the second commit.
93 lines
3.4 KiB
TypeScript
93 lines
3.4 KiB
TypeScript
// Copyright 2018-2024 the Deno authors. All rights reserved. MIT license.
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import { assertEquals } from "./test_util.ts";
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function generateNumberedData(n: number): Uint8ClampedArray {
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return new Uint8ClampedArray(
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Array.from({ length: n }, (_, i) => [i + 1, 0, 0, 1]).flat(),
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);
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}
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Deno.test(async function imageBitmapDirect() {
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const data = generateNumberedData(3);
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const imageData = new ImageData(data, 3, 1);
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const imageBitmap = await createImageBitmap(imageData);
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assertEquals(
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// @ts-ignore: Deno[Deno.internal].core allowed
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Deno[Deno.internal].getBitmapData(imageBitmap),
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new Uint8Array(data.buffer),
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);
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});
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Deno.test(async function imageBitmapCrop() {
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const data = generateNumberedData(3 * 3);
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const imageData = new ImageData(data, 3, 3);
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const imageBitmap = await createImageBitmap(imageData, 1, 1, 1, 1);
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assertEquals(
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// @ts-ignore: Deno[Deno.internal].core allowed
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Deno[Deno.internal].getBitmapData(imageBitmap),
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new Uint8Array([5, 0, 0, 1]),
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);
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});
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Deno.test(async function imageBitmapCropPartialNegative() {
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const data = generateNumberedData(3 * 3);
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const imageData = new ImageData(data, 3, 3);
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const imageBitmap = await createImageBitmap(imageData, -1, -1, 2, 2);
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// @ts-ignore: Deno[Deno.internal].core allowed
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// deno-fmt-ignore
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assertEquals(Deno[Deno.internal].getBitmapData(imageBitmap), new Uint8Array([
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0, 0, 0, 0, 0, 0, 0, 0,
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0, 0, 0, 0, 1, 0, 0, 1
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]));
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});
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Deno.test(async function imageBitmapCropGreater() {
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const data = generateNumberedData(3 * 3);
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const imageData = new ImageData(data, 3, 3);
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const imageBitmap = await createImageBitmap(imageData, -1, -1, 5, 5);
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// @ts-ignore: Deno[Deno.internal].core allowed
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// deno-fmt-ignore
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assertEquals(Deno[Deno.internal].getBitmapData(imageBitmap), new Uint8Array([
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0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
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0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 0, 1, 3, 0, 0, 1, 0, 0, 0, 0,
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0, 0, 0, 0, 4, 0, 0, 1, 5, 0, 0, 1, 6, 0, 0, 1, 0, 0, 0, 0,
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0, 0, 0, 0, 7, 0, 0, 1, 8, 0, 0, 1, 9, 0, 0, 1, 0, 0, 0, 0,
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0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
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]));
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});
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Deno.test(async function imageBitmapScale() {
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const data = generateNumberedData(3);
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const imageData = new ImageData(data, 3, 1);
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const imageBitmap = await createImageBitmap(imageData, {
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resizeHeight: 5,
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resizeWidth: 5,
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resizeQuality: "pixelated",
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});
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// @ts-ignore: Deno[Deno.internal].core allowed
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// deno-fmt-ignore
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assertEquals(Deno[Deno.internal].getBitmapData(imageBitmap), new Uint8Array([
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1, 0, 0, 1, 1, 0, 0, 1, 2, 0, 0, 1, 3, 0, 0, 1, 3, 0, 0, 1,
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1, 0, 0, 1, 1, 0, 0, 1, 2, 0, 0, 1, 3, 0, 0, 1, 3, 0, 0, 1,
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1, 0, 0, 1, 1, 0, 0, 1, 2, 0, 0, 1, 3, 0, 0, 1, 3, 0, 0, 1,
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1, 0, 0, 1, 1, 0, 0, 1, 2, 0, 0, 1, 3, 0, 0, 1, 3, 0, 0, 1,
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1, 0, 0, 1, 1, 0, 0, 1, 2, 0, 0, 1, 3, 0, 0, 1, 3, 0, 0, 1
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]));
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});
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Deno.test(async function imageBitmapFlipY() {
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const data = generateNumberedData(9);
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const imageData = new ImageData(data, 3, 3);
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const imageBitmap = await createImageBitmap(imageData, {
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imageOrientation: "flipY",
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});
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// @ts-ignore: Deno[Deno.internal].core allowed
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// deno-fmt-ignore
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assertEquals(Deno[Deno.internal].getBitmapData(imageBitmap), new Uint8Array([
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7, 0, 0, 1, 8, 0, 0, 1, 9, 0, 0, 1,
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4, 0, 0, 1, 5, 0, 0, 1, 6, 0, 0, 1,
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1, 0, 0, 1, 2, 0, 0, 1, 3, 0, 0, 1,
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]));
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});
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