How to use compare method of com.galenframework.rainbow4j.Rainbow4J class

Best Galen code snippet using com.galenframework.rainbow4j.Rainbow4J.compare

Source:Rainbow4JTest.java

...219        ComparisonOptions options = new ComparisonOptions();220        if (pixelSmooth > 0) {221            options.addFilterBoth(new BlurFilter(pixelSmooth));222        }223        ImageCompareResult diff = Rainbow4J.compare(imageA, imageB, options);224        assertThat(diff.getPercentage(), is(greaterThan(approxPercentage - 0.02)));225        assertThat(diff.getPercentage(), is(lessThan(approxPercentage + 0.02)));226        assertThat(diff.getTotalPixels(), is(expectedTotalPixels));227    }228    @Test229    public void shouldCompare_sameImages_ofDifferentSizes() throws IOException {230        BufferedImage imageA = Rainbow4J.loadImage(getClass().getResource("/comp-image-1.jpg").getFile());231        BufferedImage imageB = Rainbow4J.loadImage(getClass().getResource("/comp-image-1-scaled-down.jpg").getFile());232        ComparisonOptions options = new ComparisonOptions();233        options.setStretchToFit(true);234        options.setTolerance(10);235        ImageCompareResult diff = Rainbow4J.compare(imageA, imageB, options);236        assertThat(diff.getTotalPixels(), is(6670L));237        assertThat(diff.getPercentage(), is(lessThan(2.86)));238        assertThat(diff.getPercentage(), is(greaterThan(2.56)));239    }240    @Test241    public void shouldCompare_differentImages_withDifferentSizes() throws IOException {242        BufferedImage imageA = Rainbow4J.loadImage(getClass().getResource("/comp-image-1.jpg").getFile());243        BufferedImage imageB = Rainbow4J.loadImage(getClass().getResource("/comp-image-3-scaled-down.jpg").getFile());244        ComparisonOptions options = new ComparisonOptions();245        options.setStretchToFit(true);246        options.setTolerance(10);247        ImageCompareResult diff = Rainbow4J.compare(imageA, imageB, options);248        assertThat(diff.getTotalPixels(), is(greaterThan(14800L)));249        assertThat(diff.getTotalPixels(), is(lessThan(15500L)));250        assertThat(diff.getPercentage(), is(greaterThan(5.9)));251        assertThat(diff.getPercentage(), is(lessThan(6.1)));252    }253    @Test254    public void shouldCompare_images_withOnlyPartialRegions() throws IOException {255        BufferedImage imageA = Rainbow4J.loadImage(getClass().getResource("/page-screenshot.png").getFile());256        BufferedImage imageB = Rainbow4J.loadImage(getClass().getResource("/page-sample-correct.png").getFile());257        ComparisonOptions options = new ComparisonOptions();258        options.setTolerance(2);259        ImageCompareResult diff = Rainbow4J.compare(imageA, imageB, new Rectangle(100, 90, 100, 40), new Rectangle(40, 40, 100, 40), options);260        assertThat(diff.getTotalPixels(), is(lessThan(2L)));261        assertThat(diff.getPercentage(), is(lessThan(0.01)));262    }263    @Test264    public void shouldCompare_images_andReturn_comparisonMap() throws IOException {265        BufferedImage imageA = Rainbow4J.loadImage(getClass().getResource("/page-screenshot-1.png").getFile());266        BufferedImage imageB = Rainbow4J.loadImage(getClass().getResource("/page-screenshot-1-sample-1.png").getFile());267        ComparisonOptions options = new ComparisonOptions();268        options.addFilterBoth(new BlurFilter(1));269        options.setTolerance(100);270        ImageCompareResult diff = Rainbow4J.compare(imageA, imageB, new Rectangle(0, 70, 100, 64), new Rectangle(0, 0, imageB.getWidth(), imageB.getHeight()), options);271        assertThat(diff.getComparisonMap(), is(notNullValue()));272    }273    @Test274    public void shouldSmoothImage() throws IOException {275        BufferedImage image = Rainbow4J.loadImage(getClass().getResource("/lenna.jpg").getFile());276        ImageHandler handler = new ImageHandler(image);277        handler.applyFilter(new BlurFilter(10), new Rectangle(0, 0, image.getWidth(), image.getHeight()));278    }279    @Test280    public void shouldRemoveNoiseImage() throws IOException {281        BufferedImage image = Rainbow4J.loadImage(getClass().getResource("/denoise.png").getFile());282        ImageHandler handler = new ImageHandler(image);283        handler.applyFilter(new DenoiseFilter(10), new Rectangle(0, 0, image.getWidth(), image.getHeight()));284    }285    @Test286    public void shouldApplyContrast_toImage() throws IOException {287        BufferedImage image = Rainbow4J.loadImage(getClass().getResourceAsStream("/lenna.jpg"));288        ImageHandler handler = new ImageHandler(image);289        handler.applyFilter(new ContrastFilter(200));290    }291    @Test292    public  void shouldApplySaturation_toImage() throws  IOException {293        BufferedImage image = Rainbow4J.loadImage(getClass().getResourceAsStream("/lenna.jpg"));294        ImageHandler handler = new ImageHandler(image);295        handler.applyFilter(new SaturationFilter(0));296    }297    @Test298    public void shouldApplyQuantinzation_toImage() throws IOException {299        BufferedImage image = Rainbow4J.loadImage(getClass().getResourceAsStream("/lenna.jpg"));300        ImageHandler handler = new ImageHandler(image);301        handler.applyFilter(new QuantinizeFilter(2));302    }303    @Test304    public void shouldUseOffset_forDiffAnalysis() throws IOException {305        BufferedImage image = Rainbow4J.loadImage(getClass().getResourceAsStream("/lenna.png"));306        BufferedImage imageOffset = Rainbow4J.loadImage(getClass().getResourceAsStream("/lenna-offset.png"));307        // First comparing without offset308        {309            ImageCompareResult result = Rainbow4J.compare(image, imageOffset, new ComparisonOptions());310            assertThat(result.getTotalPixels(), is(allOf(greaterThan(64000L), lessThan(66000L))));311            assertThat(result.getOffsetX(), is(0));312            assertThat(result.getOffsetY(), is(0));313        }314        // Comparing without small offset315        {316            ComparisonOptions options2 = new ComparisonOptions();317            options2.setAnalyzeOffset(1);318            ImageCompareResult result2 = Rainbow4J.compare(image, imageOffset, options2);319            assertThat(result2.getTotalPixels(), is(allOf(greaterThan(63000L), lessThan(66000L))));320        }321        // Comparing without bigger offset322        {323            ComparisonOptions options3 = new ComparisonOptions();324            options3.setAnalyzeOffset(4);325            ImageCompareResult result3 = Rainbow4J.compare(image, imageOffset, options3);326            assertThat(result3.getTotalPixels(), is(0L));327            assertThat(result3.getOffsetX(), is(-2));328            assertThat(result3.getOffsetY(), is(-4));329        }330    }331    @Test332    public void shouldApply_maskFilter_andShouldGive_smallDifference() throws IOException {333        BufferedImage imageActual = Rainbow4J.loadImage(getClass().getResourceAsStream("/mask/actual.png"));334        BufferedImage imageExpected = Rainbow4J.loadImage(getClass().getResourceAsStream("/mask/expected-with-rect.png"));335        BufferedImage imageMask = Rainbow4J.loadImage(getClass().getResourceAsStream("/mask/mask.png"));336        ComparisonOptions options = new ComparisonOptions();337        List<ImageFilter> filters = new LinkedList<>();338        filters.add(new MaskFilter(new ImageHandler(imageMask)));339        options.setOriginalFilters(filters);340        ImageCompareResult result = Rainbow4J.compare(imageActual, imageExpected, options);341        assertThat(result.getTotalPixels(), is(57L));342        assertThat(result.getPercentage(), is(lessThan(0.25)));343    }344    @Test345    public void shouldApply_maskFilter_andShouldGive_biggerDifference() throws IOException {346        BufferedImage imageActual = Rainbow4J.loadImage(getClass().getResourceAsStream("/mask/actual.png"));347        BufferedImage imageExpected = Rainbow4J.loadImage(getClass().getResourceAsStream("/mask/expected-with-rect-and-cross.png"));348        BufferedImage imageMask = Rainbow4J.loadImage(getClass().getResourceAsStream("/mask/mask.png"));349        ComparisonOptions options = new ComparisonOptions();350        List<ImageFilter> filters = new LinkedList<>();351        filters.add(new MaskFilter(new ImageHandler(imageMask)));352        options.setOriginalFilters(filters);353        ImageCompareResult result = Rainbow4J.compare(imageActual, imageExpected, options);354        assertThat(result.getTotalPixels(), is(7907L));355        assertThat(result.getPercentage(), is(lessThan(30.0)));356        assertThat(result.getPercentage(), is(greaterThan(28.0)));357    }358    @Test359    public void shouldApply_denoiseFilter_andRemoveAllNoisePixels() throws IOException {360        BufferedImage imageActual = Rainbow4J.loadImage(getClass().getResourceAsStream("/noise/menu-item-1.png"));361        BufferedImage imageExpected = Rainbow4J.loadImage(getClass().getResourceAsStream("/noise/menu-item-1-expected-spots-2.png"));362        // Assert first that there are a lot of mismatching pixels363        {364            ComparisonOptions options = new ComparisonOptions();365            options.setTolerance(25);366            ImageCompareResult result = Rainbow4J.compare(imageActual, imageExpected, options);367            assertThat(result.getTotalPixels(), is(1075L));368        }369        List<Integer> expectedPixels = asList(370                603, 499, 496, 483, 458, 427, 388, 385, 383371        );372        for (int size = 1; size < 10; size++) {373            ComparisonOptions options = new ComparisonOptions();374            options.setTolerance(25);375            options.setMapFilters(asList((ImageFilter)new DenoiseFilter(size)));376            ImageCompareResult result = Rainbow4J.compare(imageActual, imageExpected, options);377            assertThat("map-denoise " + size + " should result in mismatching pixels",378                    result.getTotalPixels(),379                    is(expectedPixels.get(size - 1).longValue()));380        }381    }382    @Test383    public void shouldApply_blurFilter_andImproveNoisyDiff() throws IOException {384        BufferedImage imageActual = Rainbow4J.loadImage(getClass().getResourceAsStream("/noise/menu-item-1.png"));385        BufferedImage imageExpected = Rainbow4J.loadImage(getClass().getResourceAsStream("/noise/menu-item-1-expected-spots-2.png"));386        List<Integer> expectedPixels = asList(387            653, 765, 860, 982, 1068, 1168, 1263, 1334, 1415388        );389        // Assert first that there are a lot of mismatching pixels390        {391            ComparisonOptions options = new ComparisonOptions();392            options.setTolerance(25);393            ImageCompareResult result = Rainbow4J.compare(imageActual, imageExpected, options);394            assertThat(result.getTotalPixels(), is(1075L));395        }396        for (int size = 1; size < 10; size++) {397            ComparisonOptions options = new ComparisonOptions();398            options.setTolerance(25);399            List<ImageFilter> filters = new LinkedList<>();400            filters.add(new BlurFilter(size));401            options.setOriginalFilters(filters);402            options.setSampleFilters(filters);403            ImageCompareResult result = Rainbow4J.compare(imageActual, imageExpected, options);404            assertThat("blur filter with size " + size + " should result in mismatching pixels",405                    result.getTotalPixels(),406                    is(expectedPixels.get(size - 1).longValue()));407        }408    }409    @Test410    public void shouldApply_replaceColorsFilter_andCompareImages() throws IOException {411        BufferedImage imageActual = Rainbow4J.loadImage(getClass().getResourceAsStream("/replace-colors-actual.png"));412        BufferedImage imageExpected = Rainbow4J.loadImage(getClass().getResourceAsStream("/replace-colors-expected.png"));413        ComparisonOptions options = new ComparisonOptions();414        ReplaceColorsDefinition colorDefinition = new ReplaceColorsDefinition(new Color(255, 255, 255), asList(415            new GradientColorClassifier("green-blue", asList(new Color(5, 153, 0), new Color(9, 24, 184))),416            new SimpleColorClassifier("grey", new Color(153, 153, 153))417        ));418        colorDefinition.setRadius(0);419        options.setOriginalFilters(asList(new ReplaceColorsFilter(asList(colorDefinition))));420        ImageCompareResult result = Rainbow4J.compare(imageActual, imageExpected, options);421        assertThat(result.getTotalPixels(), is(0L));422    }423    @Test424    public void shouldExclude_definedRegions_whenComparingImages() throws IOException {425        BufferedImage imageActual = Rainbow4J.loadImage(getClass().getResourceAsStream("/ignore-regions/ignore-regions-actual.png"));426        BufferedImage imageExpected = Rainbow4J.loadImage(getClass().getResourceAsStream("/ignore-regions/ignore-regions-expected.png"));427        ComparisonOptions options = new ComparisonOptions();428        options.setIgnoreRegions(asList(new Rectangle(0, 70, 243, 64), new Rectangle(243, 134, 243, 64)));429        ImageCompareResult result = Rainbow4J.compare(imageActual, imageExpected, options);430        assertThat(result.getTotalPixels(), is(greaterThan(1600L)));431        assertThat(result.getTotalPixels(), is(lessThan(1700L)));432        ImageCompareResult mapResult = Rainbow4J.compare(result.getComparisonMap(),433            Rainbow4J.loadImage(getClass().getResourceAsStream("/ignore-regions/ignore-regions-map.png")),434            new ComparisonOptions()435        );436        assertThat(mapResult.getTotalPixels(), is(0L));437    }438    @DataProvider439    public Object[][] imageCompareProvider() {440        return new Object[][] {441                //pixelsmooth,  approx percentage, total pixels442                {0, 0.72, 1797},443                {1, 0.85, 2138},444                {2, 0.87, 2176},445                {3, 0.92, 2305}446        };...

Source:ImageCompareFixture.java

...12import java.util.List;13import nl.hsac.fitnesse.fixture.slim.SlimFixture;14import nl.hsac.fitnesse.fixture.slim.SlimFixtureException;15/**16 * Fixture to compare two images. Accepted file types: PNG, BMP, JPEG, GIF. Extends Slim fixture from17 * nl.hsac.fitnesse.fixture.slim package. Uses the rainbow4j library from the Galen project to perform image compare.18 */19public class ImageCompareFixture extends SlimFixture {20    private final ComparisonOptions comparisonOptions = new ComparisonOptions();21    private double acceptedDifferencePercentage = 0.0;22    private String comparisonMapFileFormat = "png";23    private List<Rectangle> ignoreRegions = new ArrayList<>();24    public void setAcceptedDifferencePercentage(double acceptedDifferencePercentage) {25        this.acceptedDifferencePercentage = acceptedDifferencePercentage;26    }27    public void setTolerance(int tolerance) {28        comparisonOptions.setTolerance(tolerance);29    }30    public void setComparisonMapFileFormat(String comparisonMapFileFormat) {31        this.comparisonMapFileFormat = comparisonMapFileFormat;32    }33    /**34     * Returns an image showing a heatmap of differences between two given images. Images given can be of PNG, BMP, JPEG35     * or GIF file format. The file format of the compared images might differ.36     *37     * @param baselineImagePath path of the image to be used as baseline to test an image against. Format is38     *                          url: http://files/example.png or39     *                          relative path: files/example.png or40     *                          absolute path : C:\Projects\someProject\wiki\FitNesseRoot\files\example.png41     * @param testImagePath     the image to test against the given baseline42     * @return HTML link to the generate heatmap43     * @throws IOException when image can not be saved44     */45    public String differencesBetweenAnd(String baselineImagePath, String testImagePath) throws IOException {46        ImageCompareResult compareResult = compareImages(baselineImagePath, testImagePath);47        return getImageLink(saveComparisonMap(compareResult));48    }49    /**50     * Boolean indicating if two given images are visually equal (depending on set tolerance and accepted51     * difference percentage)52     *53     * @param baselineImagePath path of the image to be used as baseline to test an image against. Format is54     *                          url: http://files/example.png or55     *                          relative path: files/example.png or56     *                          absolute path : C:\Projects\someProject\wiki\FitNesseRoot\files\example.png57     * @param testImagePath     the image to test against the given baseline58     * @return true when the two given images are visually equal59     * @throws IOException60     */61    public boolean imageIsEqualTo(String baselineImagePath, String testImagePath) throws IOException {62        boolean result = false;63        ImageCompareResult compareResult = compareImages(baselineImagePath, testImagePath);64        if (compareResult.getPercentage() <= acceptedDifferencePercentage) {65            result = true;66        }67        return result;68    }69    /**70     * Add a region to ignore.71     * A region is formatted as x, y, width, height in pixels. So 0,0,20,100 will ignore a region of 20x100px in the top left corner of the image72     * @param region a comma separated list of integers (x,y,width,height)73     */74    public void addExcludeRegion(String region) {75        String[] regionInfo = region.split(",");76        if(regionInfo.length != 4) {77            throw new SlimFixtureException(false, "A region consists of exactly 4 integers: x, y, width, height");78        }79        try {80            Rectangle newRegion = new Rectangle(Integer.parseInt(regionInfo[0].trim()),81                    Integer.parseInt(regionInfo[1].trim()),82                    Integer.parseInt(regionInfo[2].trim()),83                    Integer.parseInt(regionInfo[3].trim()));84            ignoreRegions.add(newRegion);85            comparisonOptions.setIgnoreRegions(ignoreRegions);86        } catch (NumberFormatException e) {87            throw new SlimFixtureException(false, "A region consists of exactly 4 integers: x, y, width, height", e);88        }89    }90    /**91     * Compares two given images.92     *93     * @param baselineImagePath image to use as baseline for comparison94     * @param testImagePath     image to test against baseline95     * @return comparison result object96     * @throws IOException if images can not be read97     */98    private ImageCompareResult compareImages(String baselineImagePath, String testImagePath) throws IOException {99        return Rainbow4J.compare(loadImageFromPath(baselineImagePath), loadImageFromPath(testImagePath), comparisonOptions);100    }101    /**102     * Creates BufferedImage from given path103     *104     * @param imagePath the path to the image to load105     * @return BufferedImage from image found on path106     * @throws IOException if image can not be read107     */108    private BufferedImage loadImageFromPath(String imagePath) throws IOException {109        String baselineImagePath = getFilePathFromWikiUrl(imagePath);110        BufferedImage image = Rainbow4J.loadImage(baselineImagePath);111        return image;112    }113    /**114     * Saves comparison map of a given image compare result to disk115     *116     * @param compareResult image compare result object117     * @return path of the saved comparison map118     * @throws IOException when saving fails119     */120    private String saveComparisonMap(ImageCompareResult compareResult) throws IOException {121        BufferedImage diffMap = compareResult.getComparisonMap();122        String imageName = getComparisonMapName();123        ImageIO.write(diffMap, "png", new File(imageName));124        return imageName;125    }126    /**127     * Returns unique name for generated comparison map based on current time.128     *129     * @return name for comparison map130     */131    private String getComparisonMapName() {132        String imageCreationTimestamp = new SimpleDateFormat("ddHHmmSSS").format(new java.util.Date());133        return String.format("%s%scomparison-map-%s.%s", filesDir, File.separator, imageCreationTimestamp, comparisonMapFileFormat);134    }135    /**...

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Using AI Code Generation

1package com.galenframework.rainbow4j;2import java.io.IOException;3import java.util.List;4import com.galenframework.rainbow4j.Rainbow4J;5import com.galenframework.rainbow4j.Rainbow4JException;6import com.galenframework.rainbow4j.Rainbow4JImage;7public class 1 {8public static void main(String[] args) throws Rainbow4JException, IOException {9Rainbow4JImage firstImage = Rainbow4J.loadImage("C:\\Users\\HP\\Desktop\\1.png");10Rainbow4JImage secondImage = Rainbow4J.loadImage("C:\\Users\\HP\\Desktop\\2.png");11List<Rectangle> differences = Rainbow4J.compare(firstImage, secondImage);12}13}14C:\Users\HP\Desktop\galen>java -cp ".;C:\Users\HP\Desktop\galen\galenframework-rainbow4j-1.0.0.jar" 115at 1.main(1.java:8)16at java.net.URLClassLoader.findClass(URLClassLoader.java:382)17at java.lang.ClassLoader.loadClass(ClassLoader.java:418)18at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:355)19at java.lang.ClassLoader.loadClass(ClassLoader.java:351)20C:\Users\HP\Desktop\galen>java -cp ".;C:\Users\HP\Desktop\galen\galenframework-rainbow4j-1.0.0.jar" 1

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Using AI Code Generation

1import com.galenframework.rainbow4j.Rainbow4J;2import com.galenframework.rainbow4j.Rainbow4JException;3import java.io.File;4public class 1 {5    public static void main(String[] args) throws Rainbow4JException {6        File actualImage = new File("test.png");7        File expectedImage = new File("test.png");8        boolean isSame = Rainbow4J.compare(actualImage, expectedImage);9        if (isSame) {10            System.out.println("Images are same");11        } else {12            System.out.println("Images are different");13        }14    }15}16import com.galenframework.rainbow4j.Rainbow4J;17import com.galenframework.rainbow4j.Rainbow4JException;18import java.io.File;19public class 2 {20    public static void main(String[] args) throws Rainbow4JException {21        File actualImage = new File("test.png");22        File expectedImage = new File("test.png");23        float tolerance = 0.5f;24        boolean isSame = Rainbow4J.compare(actualImage, expectedImage, tolerance);25        if (isSame) {26            System.out.println("Images are same");27        } else {28            System.out.println("Images are different");29        }30    }31}32import com.galenframework.rainbow4j.Rainbow4J;33import com.galenframework.rainbow4j.Rainbow4JException;34import java.io.File;35public class 3 {36    public static void main(String[] args) throws Rainbow4JException {37        File actualImage = new File("test.png");38        File expectedImage = new File("test.png");39        float tolerance = 0.5f;40        int minPixels = 10;41        boolean isSame = Rainbow4J.compare(actualImage, expectedImage, tolerance, minPixels);42        if (isSame) {43            System.out.println("Images are same");44        } else {45            System.out.println("Images are different");46        }47    }48}

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Using AI Code Generation

1import com.galenframework.rainbow4j.Rainbow4J;2import java.io.IOException;3import java.net.MalformedURLException;4import java.net.URL;5public class 1 {6    public static void main(String[] args) throws MalformedURLException, IOException {7        String urlToCompare = new URL(url).getHost();8        boolean result = Rainbow4J.compare(urlToCompare, expectedUrl);9        System.out.println(result);10    }11}12import com.galenframework.rainbow4j.Rainbow4J;13import java.io.IOException;14import java.net.MalformedURLException;15import java.net.URL;16public class 2 {17    public static void main(String[] args) throws MalformedURLException, IOException {18        String urlToCompare = new URL(url).getHost();19        boolean result = Rainbow4J.compare(urlToCompare, expectedUrl);20        System.out.println(result);21    }22}23import com.galenframework.rainbow4j.Rainbow4J;24import java.io.IOException;25import java.net.MalformedURLException;26import java.net.URL;27public class 3 {28    public static void main(String[] args) throws MalformedURLException, IOException {29        String urlToCompare = new URL(url).getHost();30        boolean result = Rainbow4J.compare(urlToCompare, expectedUrl);31        System.out.println(result);32    }33}34import com.galenframework.rainbow4j.Rainbow4J;35import java.io.IOException;36import java.net.MalformedURLException;37import java.net.URL;38public class 4 {39    public static void main(String[] args) throws MalformedURLException, IOException {

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Using AI Code Generation

1package com.galenframework.rainbow4j;2import java.io.IOException;3import com.galenframework.rainbow4j.Rainbow4J;4public class CompareImages {5public static void main(String[] args) throws IOException {6String firstImagePath = "C:\\Users\\Desktop\\firstimage.png";7String secondImagePath = "C:\\Users\\Desktop\\secondimage.png";8String outputImagePath = "C:\\Users\\Desktop\\outputimage.png";9double percentageDifference = Rainbow4J.compare(firstImagePath, secondImagePath, outputImagePath);10System.out.println("Percentage difference between the images is: " + percentageDifference);11}12}13package com.galenframework.rainbow4j;14import java.io.IOException;15import com.galenframework.rainbow4j.Rainbow4J;16public class CompareImages {17public static void main(String[] args) throws IOException {18String firstImagePath = "C:\\Users\\Desktop\\firstimage.png";19String secondImagePath = "C:\\Users\\Desktop\\secondimage.png";20double percentageDifference = Rainbow4J.compare(firstImagePath, secondImagePath);21System.out.println("Percentage difference between the images is: " + percentageDifference);22}23}

compare

Using AI Code Generation

1package com.galenframework.rainbow4j;2import java.io.File;3import com.galenframework.rainbow4j.Rainbow4J;4import org.testng.Assert;5import org.testng.annotations.Test;6public class Rainbow4JTest {7public void testCompare() throws Exception {8Rainbow4J rainbow4J = new Rainbow4J();9rainbow4J.setTolerance(0);10rainbow4J.setIgnoreColors("white");11rainbow4J.setIgnoreAntialiasing(true);12rainbow4J.setIgnoreColors("white");13rainbow4J.setIgnoreLess(true);14rainbow4J.setCropImage(true);15rainbow4J.setCompareLayout(true);16File actual = new File("C:\\Users\\user\\Desktop\\1\\1.png");17File expected = new File("C:\\Users\\user\\Desktop\\1\\2.png");18File diff = new File("C:\\Users\\user\\Desktop\\1\\diff.png");19Rainbow4J.Result result = rainbow4J.compare(actual, expected, diff);20Assert.assertEquals(result.getStatus(), Rainbow4J.Status.PASSED);21}22}23package com.galenframework.rainbow4j;24import java.io.File;25import com.galenframework.rainbow4j.Rainbow4J;26import org.testng.Assert;27import org.testng.annotations.Test;28public class Rainbow4JTest {29public void testCompare() throws Exception {30Rainbow4J rainbow4J = new Rainbow4J();31rainbow4J.setTolerance(0);32rainbow4J.setIgnoreColors("white");33rainbow4J.setIgnoreAntialiasing(true);34rainbow4J.setIgnoreColors("white");35rainbow4J.setIgnoreLess(true);36rainbow4J.setCropImage(true);37rainbow4J.setCompareLayout(true);38File actual = new File("C:\\Users\\user\\Desktop\\1\\1.png");39File expected = new File("C:\\Users\\user\\Desktop\\1\\2.png");40File diff = new File("C:\\Users\\user\\Desktop\\1\\diff.png");41Rainbow4J.Result result = rainbow4J.compare(actual, expected, diff);42Assert.assertEquals(result.getStatus(), Rainbow4J.Status.PASSED);43}44}

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Using AI Code Generation

1package com.galenframework.rainbow4j;2import java.io.File;3import java.io.IOException;4import javax.imageio.ImageIO;5import java.awt.image.BufferedImage;6import java.awt.image.DataBuffer;7import java.awt.image.WritableRaster;8import java.io.File;9import java.io.IOException;10import javax.imageio.ImageIO;11import java.awt.image.BufferedImage;12import java.awt.image.DataBuffer;13import java.awt.image.WritableRaster;14public class CompareImageExample {15public static void main(String[] args) throws IOException {16BufferedImage imgA = ImageIO.read(new File("C:/Users/HP/Desktop/img1.png"));17BufferedImage imgB = ImageIO.read(new File("C:/Users/HP/Desktop/img2.png"));18int width1 = imgA.getWidth();19int width2 = imgB.getWidth();20int height1 = imgA.getHeight();21int height2 = imgB.getHeight();22if ((width1 != width2) || (height1 != height2))23System.err.println("Error: Images dimensions mismatch");24{25long difference = 0;26for (int y = 0; y < height1; y++)27{28for (int x = 0; x < width1; x++)29{30int rgbA = imgA.getRGB(x, y);31int rgbB = imgB.getRGB(x, y);32int redA = (rgbA >> 16) & 0xff;33int greenA = (rgbA >> 8) & 0xff;34int blueA = (rgbA) & 0xff;35int redB = (rgbB >> 16) & 0xff;36int greenB = (rgbB >> 8) & 0xff;37int blueB = (rgbB) & 0xff;38difference += Math.abs(redA - redB);39difference += Math.abs(greenA - greenB);40difference += Math.abs(blueA - blueB);41}42}43double total_pixels = width1 * height1 * 3;

compare

Using AI Code Generation

1import com.galenframework.rainbow4j.Rainbow4J;2public class 1 {3    public static void main(String[] args) {4        String image1 = "C:\\Users\\user\\Desktop\\1.png";5        String image2 = "C:\\Users\\user\\Desktop\\2.png";6        double percent = 0.1;7        boolean result = Rainbow4J.compare(image1, image2, percent);8        System.out.println(result);9    }10}11import com.galenframework.rainbow4j.Rainbow4J;12public class 2 {13    public static void main(String[] args) {14        String image1 = "C:\\Users\\user\\Desktop\\1.png";15        String image2 = "C:\\Users\\user\\Desktop\\2.png";16        double percent = 0.1;17        boolean result = Rainbow4J.compare(image1, image2, percent);18        System.out.println(result);19    }20}21import com.galenframework.rainbow4j.Rainbow4J;22public class 3 {23    public static void main(String[] args) {24        String image1 = "C:\\Users\\user\\Desktop\\1.png";25        String image2 = "C:\\Users\\user\\Desktop\\2.png";26        double percent = 0.1;27        boolean result = Rainbow4J.compare(image1, image2, percent);28        System.out.println(result);29    }30}31import com.galenframework.rainbow4j.Rainbow4J;32public class 4 {33    public static void main(String[] args) {34        String image1 = "C:\\Users\\user\\Desktop\\1.png";35        String image2 = "C:\\Users\\user\\Desktop\\2.png";36        double percent = 0.1;37        boolean result = Rainbow4J.compare(image1, image2, percent);38        System.out.println(result);39    }40}

compare

Using AI Code Generation

1import com.galenframework.rainbow4j.Rainbow4J;2import com.galenframework.rainbow4j.Rainbow4JException;3import java.io.File;4import java.io.IOException;5public class CompareImages {6    public static void main(String[] args) throws IOException, Rainbow4JException {7        File actualImage = new File("C:\\Users\\user\\IdeaProjects\\Rainbow4J\\src\\test\\resources\\actualImage.png");8        File expectedImage = new File("C:\\Users\\user\\IdeaProjects\\Rainbow4J\\src\\test\\resources\\expectedImage.png");9        File reportFile = new File("C:\\Users\\user\\IdeaProjects\\Rainbow4J\\src\\test\\resources\\report.csv");10        Rainbow4J.compare(actualImage, expectedImage, reportFile);11    }12}13import com.galenframework.rainbow4j.Rainbow4J;14import com.galenframework.rainbow4j.Rainbow4JException;15import java.io.File;16import java.io.IOException;17public class CompareImages {18    public static void main(String[] args) throws IOException, Rainbow4JException {19        File actualImage = new File("C:\\Users\\user\\IdeaProjects\\Rainbow4J\\src\\test\\resources\\actualImage.png");20        File expectedImage = new File("C:\\Users\\user\\IdeaProjects\\Rainbow4J\\src\\test\\resources\\expectedImage.png");21        Rainbow4J.compare(actualImage, expectedImage);22    }23}24import com.galenframework.rainbow4j.Rainbow4J;25import com.galenframework.rainbow4j.Rainbow4JException;26import java.io.File;27import java.io.IOException;28public class CompareImages {29    public static void main(String[] args)

compare

Using AI Code Generation

1package com.galenframework.rainbow4j;2import java.io.File;3import java.io.IOException;4public class CompareImages {5public static void main(String[] args) throws IOException {6File baseImage = new File("C:\\Users\\lenovo\\Desktop\\base.png");7File newImage = new File("C:\\Users\\lenovo\\Desktop\\new.png");8File diffImage = new File("C:\\Users\\lenovo\\Desktop\\diff.png");9File reportFile = new File("C:\\Users\\lenovo\\Desktop\\report.html");10Rainbow4J rainbow4j = new Rainbow4J();11rainbow4j.compare(baseImage, newImage, diffImage, reportFile);12}13}14package com.galenframework.rainbow4j;15import java.io.File;16import java.io.IOException;17import org.openqa.selenium.WebDriver;18import org.openqa.selenium.chrome.ChromeDriver;19public class CompareImages {20public static void main(String[] args) throws IOException {21File baseImage = new File("C:\\Users\\lenovo\\Desktop\\base.png");22File newImage = new File("C:\\Users\\lenovo\\Desktop\\new.png");23File diffImage = new File("C:\\Users\\lenovo\\Desktop\\diff.png");24File reportFile = new File("C:\\Users\\lenovo\\Desktop\\report.html");25Rainbow4J rainbow4j = new Rainbow4J();26WebDriver driver = new ChromeDriver();27rainbow4j.setDriver(driver);28rainbow4j.compare(baseImage, newImage, diffImage, reportFile);29}30}

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