mirror of
https://github.moeyy.xyz/https://github.com/trekhleb/javascript-algorithms.git
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Merge branch 'master' into Update-README-indonesia
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commit
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@ -9,6 +9,7 @@
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[![CI](https://github.com/trekhleb/javascript-algorithms/workflows/CI/badge.svg)](https://github.com/trekhleb/javascript-algorithms/actions?query=workflow%3ACI+branch%3Amaster)
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[![CI](https://github.com/trekhleb/javascript-algorithms/workflows/CI/badge.svg)](https://github.com/trekhleb/javascript-algorithms/actions?query=workflow%3ACI+branch%3Amaster)
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[![codecov](https://codecov.io/gh/trekhleb/javascript-algorithms/branch/master/graph/badge.svg)](https://codecov.io/gh/trekhleb/javascript-algorithms)
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[![codecov](https://codecov.io/gh/trekhleb/javascript-algorithms/branch/master/graph/badge.svg)](https://codecov.io/gh/trekhleb/javascript-algorithms)
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![repo size](https://img.shields.io/github/repo-size/trekhleb/javascript-algorithms.svg)
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This repository contains JavaScript based examples of many
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This repository contains JavaScript based examples of many
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popular algorithms and data structures.
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popular algorithms and data structures.
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package-lock.json
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package-lock.json
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"@babel/cli": "7.20.7",
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"@babel/cli": "7.20.7",
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"@babel/preset-env": "7.20.2",
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"@babel/preset-env": "7.20.2",
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"@types/jest": "29.4.0",
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"@types/jest": "29.4.0",
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"canvas": "2.11.0",
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"eslint": "8.33.0",
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"eslint": "8.33.0",
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"eslint-config-airbnb": "19.0.4",
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"eslint-config-airbnb": "19.0.4",
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"eslint-plugin-import": "2.27.5",
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"eslint-plugin-import": "2.27.5",
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"eslint-plugin-jest": "27.2.1",
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"eslint-plugin-jest": "27.2.1",
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"eslint-plugin-jsx-a11y": "6.7.1",
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"eslint-plugin-jsx-a11y": "6.7.1",
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"husky": "8.0.3",
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"husky": "8.0.3",
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"jest": "29.4.1"
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"jest": "29.4.1",
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"pngjs": "^7.0.0"
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},
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},
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"engines": {
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"engines": {
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"node": ">=16.15.0",
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"node": ">=16.15.0",
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import fs from 'fs';
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import { PNG } from 'pngjs';
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import resizeImageWidth from '../resizeImageWidth';
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const testImageBeforePath = './src/algorithms/image-processing/seam-carving/__tests__/test-image-before.png';
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const testImageAfterPath = './src/algorithms/image-processing/seam-carving/__tests__/test-image-after.png';
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/**
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* Compares two images and finds the number of different pixels.
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*
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* @param {ImageData} imgA - ImageData for the first image.
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* @param {ImageData} imgB - ImageData for the second image.
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* @param {number} threshold - Color difference threshold [0..255]. Smaller - stricter.
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* @returns {number} - Number of different pixels.
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*/
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function pixelsDiff(imgA, imgB, threshold = 0) {
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if (imgA.width !== imgB.width || imgA.height !== imgB.height) {
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throw new Error('Images must have the same size');
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}
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let differentPixels = 0;
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const numColorParams = 4; // RGBA
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for (let pixelIndex = 0; pixelIndex < imgA.data.length; pixelIndex += numColorParams) {
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// Get pixel's color for each image.
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const [aR, aG, aB] = imgA.data.subarray(pixelIndex, pixelIndex + numColorParams);
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const [bR, bG, bB] = imgB.data.subarray(pixelIndex, pixelIndex + numColorParams);
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// Get average pixel's color for each image (make them greyscale).
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const aAvgColor = Math.floor((aR + aG + aB) / 3);
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const bAvgColor = Math.floor((bR + bG + bB) / 3);
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// Compare pixel colors.
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if (Math.abs(aAvgColor - bAvgColor) > threshold) {
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differentPixels += 1;
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}
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}
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return differentPixels;
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}
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const pngLoad = (path) => new Promise((resolve) => {
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fs.createReadStream(path)
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.pipe(new PNG())
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.on('parsed', function Parsed() {
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/** @type {ImageData} */
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const imageData = {
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colorSpace: 'srgb',
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width: this.width,
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height: this.height,
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data: this.data,
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};
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resolve(imageData);
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});
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});
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describe('resizeImageWidth', () => {
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it('should perform content-aware image width reduction', async () => {
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const imgBefore = await pngLoad(testImageBeforePath);
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const imgAfter = await pngLoad(testImageAfterPath);
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const toWidth = Math.floor(imgBefore.width / 2);
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const {
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img: imgResized,
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size: resizedSize,
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} = resizeImageWidth({ img: imgBefore, toWidth });
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expect(imgResized).toBeDefined();
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expect(resizedSize).toBeDefined();
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expect(resizedSize).toEqual({ w: toWidth, h: imgBefore.height });
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expect(imgResized.width).toBe(imgAfter.width);
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expect(imgResized.height).toBe(imgAfter.height);
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const colorThreshold = 50;
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const differentPixels = pixelsDiff(imgResized, imgAfter, colorThreshold);
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// Allow 10% of pixels to be different
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const pixelsThreshold = Math.floor((imgAfter.width * imgAfter.height) / 10);
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expect(differentPixels).toBeLessThanOrEqual(pixelsThreshold);
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});
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});
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import { createCanvas, loadImage } from 'canvas';
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import resizeImageWidth from '../resizeImageWidth';
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const testImageBeforePath = './src/algorithms/image-processing/seam-carving/__tests__/test-image-before.jpg';
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const testImageAfterPath = './src/algorithms/image-processing/seam-carving/__tests__/test-image-after.jpg';
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/**
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* Compares two images and finds the number of different pixels.
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*
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* @param {ImageData} imgA - ImageData for the first image.
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* @param {ImageData} imgB - ImageData for the second image.
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* @param {number} threshold - Color difference threshold [0..255]. Smaller - stricter.
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* @returns {number} - Number of different pixels.
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*/
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function pixelsDiff(imgA, imgB, threshold = 0) {
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if (imgA.width !== imgB.width || imgA.height !== imgB.height) {
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throw new Error('Images must have the same size');
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}
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let differentPixels = 0;
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const numColorParams = 4; // RGBA
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for (let pixelIndex = 0; pixelIndex < imgA.data.length; pixelIndex += numColorParams) {
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// Get pixel's color for each image.
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const [aR, aG, aB] = imgA.data.subarray(pixelIndex, pixelIndex + numColorParams);
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const [bR, bG, bB] = imgB.data.subarray(pixelIndex, pixelIndex + numColorParams);
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// Get average pixel's color for each image (make them greyscale).
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const aAvgColor = Math.floor((aR + aG + aB) / 3);
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const bAvgColor = Math.floor((bR + bG + bB) / 3);
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// Compare pixel colors.
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if (Math.abs(aAvgColor - bAvgColor) > threshold) {
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differentPixels += 1;
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}
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}
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return differentPixels;
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}
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describe('resizeImageWidth', () => {
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it('should perform content-aware image width reduction', () => {
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// @see: https://jestjs.io/docs/asynchronous
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return Promise.all([
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loadImage(testImageBeforePath),
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loadImage(testImageAfterPath),
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]).then(([imgBefore, imgAfter]) => {
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// Original image.
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const canvasBefore = createCanvas(imgBefore.width, imgBefore.height);
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const ctxBefore = canvasBefore.getContext('2d');
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ctxBefore.drawImage(imgBefore, 0, 0, imgBefore.width, imgBefore.height);
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const imgDataBefore = ctxBefore.getImageData(0, 0, imgBefore.width, imgBefore.height);
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// Resized image saved.
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const canvasAfter = createCanvas(imgAfter.width, imgAfter.height);
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const ctxAfter = canvasAfter.getContext('2d');
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ctxAfter.drawImage(imgAfter, 0, 0, imgAfter.width, imgAfter.height);
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const imgDataAfter = ctxAfter.getImageData(0, 0, imgAfter.width, imgAfter.height);
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const toWidth = Math.floor(imgBefore.width / 2);
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const {
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img: resizedImg,
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size: resizedSize,
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} = resizeImageWidth({ img: imgDataBefore, toWidth });
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expect(resizedImg).toBeDefined();
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expect(resizedSize).toBeDefined();
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// Resized image generated.
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const canvasTest = createCanvas(resizedSize.w, resizedSize.h);
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const ctxTest = canvasTest.getContext('2d');
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ctxTest.putImageData(resizedImg, 0, 0, 0, 0, resizedSize.w, resizedSize.h);
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const imgDataTest = ctxTest.getImageData(0, 0, resizedSize.w, resizedSize.h);
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expect(resizedSize).toEqual({ w: toWidth, h: imgBefore.height });
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expect(imgDataTest.width).toBe(toWidth);
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expect(imgDataTest.height).toBe(imgBefore.height);
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expect(imgDataTest.width).toBe(imgAfter.width);
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expect(imgDataTest.height).toBe(imgAfter.height);
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const colorThreshold = 50;
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const differentPixels = pixelsDiff(imgDataTest, imgDataAfter, colorThreshold);
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// Allow 10% of pixels to be different
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const pixelsThreshold = Math.floor((imgAfter.width * imgAfter.height) / 10);
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expect(differentPixels).toBeLessThanOrEqual(pixelsThreshold);
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});
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});
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});
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