How to use getPercentage method of com.galenframework.rainbow4j.Spectrum class

Best Galen code snippet using com.galenframework.rainbow4j.Spectrum.getPercentage

Source:Rainbow4JTest.java Github

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...48 BufferedImage image = Rainbow4J.loadImage(getClass().getResource("/test-spectrum-black-white-1.png").getFile());49 Spectrum spectrum = Rainbow4J.readSpectrum(image, 64);50 51 Assert.assertEquals(spectrum.getPrecision(), 64);52 Assert.assertEquals((int)spectrum.getPercentage(255,255,255, 0), 68);53 Assert.assertEquals((int) spectrum.getPercentage(0, 0, 0, 0), 31);54 Assert.assertEquals((int) spectrum.getPercentage(128, 128, 128, 0), 0);55 Assert.assertEquals((int) spectrum.getPercentage(254, 254, 254, 0), 68);56 Assert.assertEquals((int) spectrum.getPercentage(253, 253, 253, 0), 68);57 Assert.assertEquals((int) spectrum.getPercentage(254, 254, 254, 5), 68);58 Assert.assertEquals((int) spectrum.getPercentage(254, 250, 254, 10), 68);59 }60 @Test61 public void shouldRead_imageSpectrum_withPredefinedColorClassifiers() throws IOException {62 BufferedImage image = Rainbow4J.loadImage(getClass().getResource("/colo-scheme-gradient.png").getFile());63 List<ColorClassifier> colorClassifiers = asList(64 new GradientColorClassifier("green-blue", asList(new Color(5, 153, 0), new Color(9, 24, 184))),65 new SimpleColorClassifier("pink", new Color(252, 18, 53)),66 new SimpleColorClassifier("blue", new Color(21, 2, 230))67 );68 CustomSpectrum spectrum = Rainbow4J.readCustomSpectrum(image, colorClassifiers);69 assertThat(spectrum.getCollectedColors(), is(new HashMap<String, Integer>() {{70 put("green-blue", 10000);71 put("pink", 10000);72 put("blue", 10000);73 }}));74 assertThat(spectrum.getOtherColors(), is(10000));75 assertThat(spectrum.getTotalPixels(), is(40000));76 }77 @Test78 public void shouldRead_imageSpectrum_withPredefinedColorClassifiers_inSpecifiedArea() throws IOException {79 BufferedImage image = Rainbow4J.loadImage(getClass().getResource("/colo-scheme-gradient.png").getFile());80 List<ColorClassifier> colorClassifiers = asList(81 new GradientColorClassifier("green-blue", asList(new Color(5, 153, 0), new Color(9, 24, 184)))82 );83 CustomSpectrum spectrum = Rainbow4J.readCustomSpectrum(image, colorClassifiers, new Rectangle(0, 0, 100, 100));84 assertThat(spectrum.getCollectedColors(), is(new HashMap<String, Integer>(){{85 put("green-blue", 10000);86 }}));87 assertThat(spectrum.getOtherColors(), is(0));88 assertThat(spectrum.getTotalPixels(), is(10000));89 }90 @Test91 public void shouldRead_imageSpectrum_withPredefinedColorClassifiers_inSpecifiedArea_2() throws IOException {92 BufferedImage image = Rainbow4J.loadImage(getClass().getResource("/colo-scheme-gradient.png").getFile());93 List<ColorClassifier> colorClassifiers = asList(94 new GradientColorClassifier("green-blue", asList(new Color(5, 153, 0), new Color(9, 24, 184)))95 );96 CustomSpectrum spectrum = Rainbow4J.readCustomSpectrum(image, colorClassifiers, new Rectangle(0, 0, 100, 100));97 assertThat(spectrum.getCollectedColors(), is(new HashMap<String, Integer>(){{98 put("green-blue", 10000);99 }}));100 assertThat(spectrum.getOtherColors(), is(0));101 assertThat(spectrum.getTotalPixels(), is(10000));102 }103 @Test104 public void shouldRead_imageSpectrum_withPredefinedColorClassifiers_inSpecifiedArea_3() throws IOException {105 BufferedImage image = Rainbow4J.loadImage(getClass().getResource("/colo-scheme-gradient.png").getFile());106 List<ColorClassifier> colorClassifiers = asList(107 new GradientColorClassifier("green-blue", asList(new Color(6, 120, 46), new Color(8, 56, 138)))108 );109 CustomSpectrum spectrum = Rainbow4J.readCustomSpectrum(image, colorClassifiers, new Rectangle(0, 0, 100, 100));110 assertThat(spectrum.getCollectedColors(), is(new HashMap<String, Integer>(){{111 put("green-blue", 5780);112 }}));113 assertThat(spectrum.getOtherColors(), is(4220));114 assertThat(spectrum.getTotalPixels(), is(10000));115 }116 @Test117 public void shouldRead_imageSpectrum_withPredefinedColorClassifiers_inSpecifiedArea_4() throws IOException {118 BufferedImage image = Rainbow4J.loadImage(getClass().getResource("/colo-scheme-gradient.png").getFile());119 List<ColorClassifier> colorClassifiers = asList(120 new SimpleColorClassifier("pink", new Color(252, 18, 53))121 );122 CustomSpectrum spectrum = Rainbow4J.readCustomSpectrum(image, colorClassifiers, new Rectangle(100, 0, 100, 100));123 assertThat(spectrum.getCollectedColors(), is(new HashMap<String, Integer>(){{124 put("pink", 10000);125 }}));126 assertThat(spectrum.getOtherColors(), is(0));127 assertThat(spectrum.getTotalPixels(), is(10000));128 }129 @Test130 public void shouldRead_imageSpectrum_fromPNG() throws IOException {131 BufferedImage image = Rainbow4J.loadImage(getClass().getResource("/test-spectrum-black-white-1.png").getFile());132 Spectrum spectrum = Rainbow4J.readSpectrum(image);133 Assert.assertEquals((int)spectrum.getPercentage(255,255,255, 0), 67);134 Assert.assertEquals((int)spectrum.getPercentage(0, 0, 0, 0), 30);135 Assert.assertEquals((int)spectrum.getPercentage(128,128,128, 0), 0);136 Assert.assertEquals((int) spectrum.getPercentage(254, 254, 254, 0), 0);137 Assert.assertEquals((int) spectrum.getPercentage(254, 254, 254, 1), 68);138 Assert.assertEquals((int) spectrum.getPercentage(254, 250, 254, 10), 68);139 }140 141 @Test142 public void shouldRead_imageSpectrum_fromJPG() throws IOException {143 BufferedImage image = Rainbow4J.loadImage(getClass().getResource("/test-spectrum-black-white-1.jpg").getFile());144 Spectrum spectrum = Rainbow4J.readSpectrum(image);145 Assert.assertEquals((int)spectrum.getPercentage(255,255,255, 0), 67);146 Assert.assertEquals((int)spectrum.getPercentage(0, 0, 0, 0), 30);147 Assert.assertEquals((int)spectrum.getPercentage(128,128,128, 0), 0);148 Assert.assertEquals((int)spectrum.getPercentage(254,254,254, 0), 0);149 Assert.assertEquals((int)spectrum.getPercentage(254,254,254, 1), 68);150 Assert.assertEquals((int)spectrum.getPercentage(254,250,254, 10), 68);151 }152 @Test153 public void shouldRead_image_fromStream() throws IOException {154 BufferedImage image = Rainbow4J.loadImage(getClass().getResourceAsStream("/color-scheme-image-1.png"));155 Assert.assertEquals(image.getWidth(), 778);156 Assert.assertEquals(image.getHeight(), 392);157 }158 159 @Test160 public void shouldRead_imageSpectrum_fromPNG_2() throws IOException {161 BufferedImage image = Rainbow4J.loadImage(getClass().getResource("/color-scheme-image-1.png").getFile());162 Spectrum spectrum = Rainbow4J.readSpectrum(image);163 Assert.assertEquals((int)spectrum.getPercentage(58, 112, 208, 5), 8);164 Assert.assertEquals((int)spectrum.getPercentage(207, 71, 29, 5), 32);165 }166 167 @Test168 public void shouldReadSpectrum_fromSpecifiedRegion() throws IOException {169 BufferedImage image = Rainbow4J.loadImage(getClass().getResource("/test-spectrum-black-white-1.png").getFile());170 Spectrum spectrum = Rainbow4J.readSpectrum(image, new Rectangle(100, 200, 20, 20));171 Assert.assertEquals((int)spectrum.getPercentage(255 ,255, 255, 0), 0);172 Assert.assertEquals((int)spectrum.getPercentage(0, 0, 0, 0), 100);173 Assert.assertEquals((int)spectrum.getPercentage(128,128,128, 0), 0);174 }175 176 @Test177 public void shouldCropImage_andReadSpectrum_2() throws IOException {178 BufferedImage image = Rainbow4J.loadImage(getClass().getResource("/color-scheme-image-1.png").getFile());179 Spectrum spectrum = Rainbow4J.readSpectrum(image, new Rectangle(10, 10, 30, 20));180 181 Assert.assertEquals((int)spectrum.getPercentage(255 ,255, 255, 0), 100);182 Assert.assertEquals((int)spectrum.getPercentage(0, 0, 0, 0), 0);183 Assert.assertEquals((int)spectrum.getPercentage(128,128,128, 0), 0);184 }185 @Test186 public void shouldReadSpectrum_fromPNG_3() throws IOException{187 BufferedImage image = Rainbow4J.loadImage(getClass().getResource("/color-scheme-image-2.png").getFile());188 Spectrum spectrum = Rainbow4J.readSpectrum(image, new Rectangle(48, 217, 344, 407));189 Assert.assertEquals((int)spectrum.getPercentage(170, 170, 170, 5), 2);190 Assert.assertEquals((int)spectrum.getPercentage(119, 119, 119, 5), 1);191 Assert.assertEquals((int)spectrum.getPercentage(255, 255, 255, 5), 95);192 }193 194 @Test195 public void shouldGive_colorDistribution() throws IOException {196 BufferedImage image = Rainbow4J.loadImage(getClass().getResource("/color-scheme-image-1.png").getFile());197 Spectrum spectrum = Rainbow4J.readSpectrum(image);198 199 List<ColorDistribution> colors = spectrum.getColorDistribution(3);200 201 Assert.assertEquals(colors.size(), 4);202 203 Assert.assertEquals(colors.get(0).getColor(), new Color(0, 0, 0));204 Assert.assertEquals((int)colors.get(0).getPercentage(), 14);205 206 Assert.assertEquals(colors.get(1).getColor(), new Color(58, 112, 207));207 Assert.assertEquals((int)colors.get(1).getPercentage(), 8);208 209 Assert.assertEquals(colors.get(2).getColor(), new Color(207, 71, 29));210 Assert.assertEquals((int)colors.get(2).getPercentage(), 32);211 212 Assert.assertEquals(colors.get(3).getColor(), new Color(255, 255, 255));213 Assert.assertEquals((int)colors.get(3).getPercentage(), 44);214 }215 @Test(dataProvider = "imageCompareProvider")216 public void shouldCompare_images(int pixelSmooth, double approxPercentage, long expectedTotalPixels) throws IOException {217 BufferedImage imageA = Rainbow4J.loadImage(getClass().getResource("/comp-image-1.jpg").getFile());218 BufferedImage imageB = Rainbow4J.loadImage(getClass().getResource("/comp-image-2.jpg").getFile());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, 383...

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Source:XvfbManagerTest.java Github

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...210 List<ColorDistribution> colorDistributions = spectrum.getColorDistribution(1);211 System.out.format("%d color distribution elements%n", colorDistributions.size());212 ColorDistribution blackDist = colorDistributions.stream().filter(forColor(Color.black)).findFirst().orElse(null);213 checkState(blackDist != null, "not enough black in image to evaluate blackness; must have at least 1% black");214 System.out.format("color distribution: %s %s%n", blackDist.getColor(), blackDist.getPercentage());215 checkState(blackDist.getColor().equals(Color.black), "only element in distribution list is not black: %s", blackDist.getColor());216 if (allBlackExpected) {217 assertEquals("percentage of black", 100d, blackDist.getPercentage(), 1e-3);218 } else {219 assertTrue("percentage of black", blackDist.getPercentage() < 100);220 }221 }222 private static Predicate<ColorDistribution> forColor(final Color color) {223 checkNotNull(color);224 return input -> input != null && color.equals(input.getColor());225 }226}...

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getPercentage

Using AI Code Generation

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1import com.galenframework.rainbow4j.Spectrum;2import com.galenframework.rainbow4j.SpectrumColor;3public class 1 {4 public static void main(String[] args) {5 Spectrum spectrum = new Spectrum();6 SpectrumColor color = spectrum.getColor(0.5);7 System.out.println("Color at 50% is: " + color);8 System.out.println("Percentage of color at 50% is: " + spectrum.getPercentage(color));9 }10}

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getPercentage

Using AI Code Generation

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1import com.galenframework.rainbow4j.Spectrum;2import com.galenframework.rainbow4j.SpectrumColor;3public class 1 {4 public static void main(String[] args) {5 Spectrum spectrum = new Spectrum();6 SpectrumColor color = spectrum.getColorFromPercentage(0.5);7 System.out.println(color.getRed() + ", " + color.getGreen() + ", " + color.getBlue());8 }9}10import com.galenframework.rainbow4j.Spectrum;11import com.galenframework.rainbow4j.SpectrumColor;12public class 2 {13 public static void main(String[] args) {14 Spectrum spectrum = new Spectrum();15 SpectrumColor color = spectrum.getColorFromPercentage(0.75);16 System.out.println(color.getRed() + ", " + color.getGreen() + ", " + color.getBlue());17 }18}19import com.galenframework.rainbow4j.Spectrum;20import com.galenframework.rainbow4j.SpectrumColor;21public class 3 {22 public static void main(String[] args) {23 Spectrum spectrum = new Spectrum();24 SpectrumColor color = spectrum.getColorFromPercentage(1);25 System.out.println(color.getRed() + ", " + color.getGreen() + ", " + color.getBlue());26 }27}28import com.galenframework.rainbow4j.Spectrum;29import com.galenframework.rainbow4j.SpectrumColor;30public class 4 {31 public static void main(String[] args) {32 Spectrum spectrum = new Spectrum();33 SpectrumColor color = spectrum.getColorFromPercentage(0);34 System.out.println(color.getRed() + ", " + color.getGreen() + ", " + color.getBlue());35 }36}

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getPercentage

Using AI Code Generation

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1import com.galenframework.rainbow4j.Spectrum;2import com.galenframework.rainbow4j.SpectrumColor;3public class 1 {4public static void main(String[] args) {5Spectrum spectrum = new Spectrum();6SpectrumColor color = spectrum.getColor(0.5);7System.out.println(color.getPercentage());8}9}10import com.galenframework.rainbow4j.Spectrum;11import com.galenframework.rainbow4j.SpectrumColor;12public class 2 {13public static void main(String[] args) {14Spectrum spectrum = new Spectrum();15SpectrumColor color = spectrum.getColor(0.5);16System.out.println(color.getRgb());17}18}19import com.galenframework.rainbow4j.Spectrum;20import com.galenframework.rainbow4j.SpectrumColor;21public class 3 {22public static void main(String[] args) {23Spectrum spectrum = new Spectrum();24SpectrumColor color = spectrum.getColor(0.5);25System.out.println(color.getHex());26}27}28import com.galenframework.rainbow4j.Spectrum;29import com.galenframework.rainbow4j.SpectrumColor;30public class 4 {31public static void main(String[] args) {32Spectrum spectrum = new Spectrum();33SpectrumColor color = spectrum.getColor(0.5);34System.out.println(color.getHsl());35}36}

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getPercentage

Using AI Code Generation

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1import com.galenframework.rainbow4j.Spectrum;2public class 1 {3 public static void main(String[] args) {4 Spectrum spectrum = new Spectrum();5 System.out.println(spectrum.getPercentage("red"));6 }7}8import com.galenframework.rainbow4j.Spectrum;9public class 2 {10 public static void main(String[] args) {11 Spectrum spectrum = new Spectrum();12 System.out.println(spectrum.getPercentage("green"));13 }14}15import com.galenframework.rainbow4j.Spectrum;16public class 3 {17 public static void main(String[] args) {18 Spectrum spectrum = new Spectrum();19 System.out.println(spectrum.getPercentage("blue"));20 }21}22import com.galenframework.rainbow4j.Spectrum;23public class 4 {24 public static void main(String[] args) {25 Spectrum spectrum = new Spectrum();26 System.out.println(spectrum.getPercentage("yellow"));27 }28}29import com.galenframework.rainbow4j.Spectrum;30public class 5 {31 public static void main(String[] args) {32 Spectrum spectrum = new Spectrum();33 System.out.println(spectrum.getPercentage("cyan"));34 }35}36import com.galenframework.rainbow4j.Spectrum;37public class 6 {38 public static void main(String[] args) {39 Spectrum spectrum = new Spectrum();40 System.out.println(spectrum.getPercentage("magenta"));41 }42}43import com.galenframework

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getPercentage

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1import com.galenframework.rainbow4j.Spectrum;2public class 1 {3 public static void main(String[] args) {4 Spectrum spectrum = new Spectrum();5 double percentage = spectrum.getPercentage("red", "green", 0.5);6 System.out.println("percentage is: " + percentage);7 }8}

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getPercentage

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1import com.galenframework.rainbow4j.Spectrum;2public class 1 {3 public static void main(String[] args) {4 Spectrum spectrum = new Spectrum();5 System.out.println(spectrum.getPercentage(0, 0, 0));6 }7}

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getPercentage

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1package com.galenframework.rainbow4j;2import java.awt.Color;3public class GetPercentageExample {4 public static void main(String[] args) {5 Color color = new Color(255, 0, 0);6 Spectrum spectrum = new Spectrum(new Color(0, 0, 0), new Color(255, 0, 0));7 System.out.println(spectrum.getPercentage(color));8 }9}10package com.galenframework.rainbow4j;11import java.awt.Color;12public class GetPercentageExample {13 public static void main(String[] args) {14 Color color = new Color(255, 0, 0);15 Spectrum spectrum = new Spectrum(new Color(0, 0, 0), new Color(255, 0, 0));16 System.out.println(spectrum.getPercentage(color));17 }18}19package com.galenframework.rainbow4j;20import java.awt.Color;21public class GetPercentageExample {22 public static void main(String[] args) {23 Color color = new Color(255, 0, 0);24 Spectrum spectrum = new Spectrum(new Color(0, 0, 0), new Color(255, 0, 0));25 System.out.println(spectrum.getPercentage(color));26 }27}28package com.galenframework.rainbow4j;29import java.awt.Color;30public class GetPercentageExample {31 public static void main(String[] args) {32 Color color = new Color(255, 0, 0);33 Spectrum spectrum = new Spectrum(new Color(0, 0, 0), new Color(255, 0, 0));34 System.out.println(spectrum.getPercentage(color));35 }36}37package com.galenframework.rainbow4j;38import java.awt.Color;39public class GetPercentageExample {40 public static void main(String[] args) {

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getPercentage

Using AI Code Generation

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1import com.galenframework.rainbow4j.Spectrum;2public class 1 {3 public static void main(String[] args) {4 Spectrum spectrum = new Spectrum();5 int percentage = spectrum.getPercentage(0, 0, 0);6 System.out.println(percentage);7 }8}9import com.galenframework.rainbow4j.Spectrum;10public class 2 {11 public static void main(String[] args) {12 Spectrum spectrum = new Spectrum();13 String nearestColor = spectrum.getNearestColor(0, 0, 0);14 System.out.println(nearestColor);15 }16}17import com.galenframework.rainbow4j.Spectrum;18public class 3 {19 public static void main(String[] args) {20 Spectrum spectrum = new Spectrum();21 String nearestColor = spectrum.getNearestColor(0);22 System.out.println(nearestColor);23 }24}25import com.galenframework.rainbow4j.Spectrum;26public class 4 {27 public static void main(String[] args) {28 Spectrum spectrum = new Spectrum();29 String nearestColor = spectrum.getNearestColor("Black");30 System.out.println(nearestColor);31 }32}33import com.galenframework.rainbow4j.Spectrum;34public class 5 {35 public static void main(String[] args) {36 Spectrum spectrum = new Spectrum();37 String nearestColor = spectrum.getNearestColor("#000000");38 System.out.println(nearestColor);39 }40}

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getPercentage

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1import com.galenframework.rainbow4j.Spectrum;2public class 1 {3 public static void main(String[] args) {4 double blue = Spectrum.getPercentage("blue");5 System.out.println("Percentage of blue is: " + blue);6 }7}8import com.galenframework.rainbow4j.Spectrum;9public class 2 {10 public static void main(String[] args) {11 double green = Spectrum.getPercentage("green");12 System.out.println("Percentage of green is: " + green);13 }14}15import com.galenframework.rainbow4j.Spectrum;16public class 3 {17 public static void main(String[] args) {18 double red = Spectrum.getPercentage("red");19 System.out.println("Percentage of red is: " + red);20 }21}22import com.galenframework.rainbow4j.Spectrum;23public class 4 {24 public static void main(String[] args) {25 double yellow = Spectrum.getPercentage("yellow");26 System.out.println("Percentage of yellow is: " + yellow);27 }28}29import com.galenframework.rainbow4j.Spectrum;30public class 5 {31 public static void main(String[] args) {32 double orange = Spectrum.getPercentage("orange");33 System.out.println("Percentage of orange is: " + orange);34 }35}36import com.galenframework.rainbow4j.Spectrum;37public class 6 {38 public static void main(String[] args) {

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getPercentage

Using AI Code Generation

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1import com.galenframework.rainbow4j.Spectrum;2public class 1 {3 public static void main(String[] args) {4 Spectrum spectrum = new Spectrum();5 String color = spectrum.getPercentage(255, 0, 0);6 System.out.println(color);7 }8}

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