mirror of
https://github.com/lovell/sharp.git
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Allow to provide any positive or negative multiple of 90 to `.rotate(...)`. Negative angles and angles above 360 are converted to valid 0/90/180/270 rotations (0 rotations are still ignored). Changes: - [Node] Add `useExifOrientation` internal variable to know if the Exif orientation must be used instead of the provided angle. This allows to save a negative angle in the `angle` option, because the `-1` special case is not needed. - [Node] Change check for planed-rotation in extract, to prepare a rotation before extraction: check with both `angle` and `useExifOrientation` options. I think this check contains a bit too much logics on rotation options. Maybe we could move this condition to a dedicated function. - [C++] Separate `CalculateRotationAndFlip` into two generic functions: - `CalculateExifRotationAndFlip`: Calculate the angle of rotation and need-to-flip for the given Exif orientation. - `CalculateAngleRotation`: Calculate the rotation for the given angle. One or the other function is used to calculate the rotation, depending on wether the Exif orientation tag or the provided angle must be used. - Add unit tests for `-3690`, `-450`, `-90`, `90`, `450`, `3690` and `-3780`, `-540`, `0`, `180`, `540`, `3780` rotations - Add `320x240` fixture image for tests. Unrelated changes (squashed): - Add ncoden to the list of contributors
182 lines
8.7 KiB
JavaScript
182 lines
8.7 KiB
JavaScript
'use strict';
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const path = require('path');
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const sharp = require('../../');
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const maxColourDistance = require('../../build/Release/sharp')._maxColourDistance;
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// Helpers
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const getPath = function (filename) {
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return path.join(__dirname, filename);
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};
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// Generates a 64-bit-as-binary-string image fingerprint
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// Based on the dHash gradient method - see http://www.hackerfactor.com/blog/index.php?/archives/529-Kind-of-Like-That.html
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const fingerprint = function (image, callback) {
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sharp(image)
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.greyscale()
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.normalise()
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.resize(9, 8)
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.ignoreAspectRatio()
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.raw()
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.toBuffer(function (err, data) {
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if (err) {
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callback(err);
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} else {
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let fingerprint = '';
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for (let col = 0; col < 8; col++) {
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for (let row = 0; row < 8; row++) {
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const left = data[(row * 8) + col];
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const right = data[(row * 8) + col + 1];
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fingerprint = fingerprint + (left < right ? '1' : '0');
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}
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}
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callback(null, fingerprint);
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}
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});
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};
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module.exports = {
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inputJpgWithLandscapeExif1: getPath('Landscape_1.jpg'), // https://github.com/recurser/exif-orientation-examples
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inputJpgWithLandscapeExif2: getPath('Landscape_2.jpg'), // https://github.com/recurser/exif-orientation-examples
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inputJpgWithLandscapeExif3: getPath('Landscape_3.jpg'), // https://github.com/recurser/exif-orientation-examples
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inputJpgWithLandscapeExif4: getPath('Landscape_4.jpg'), // https://github.com/recurser/exif-orientation-examples
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inputJpgWithLandscapeExif5: getPath('Landscape_5.jpg'), // https://github.com/recurser/exif-orientation-examples
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inputJpgWithLandscapeExif6: getPath('Landscape_6.jpg'), // https://github.com/recurser/exif-orientation-examples
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inputJpgWithLandscapeExif7: getPath('Landscape_7.jpg'), // https://github.com/recurser/exif-orientation-examples
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inputJpgWithLandscapeExif8: getPath('Landscape_8.jpg'), // https://github.com/recurser/exif-orientation-examples
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inputJpgWithPortraitExif1: getPath('Portrait_1.jpg'), // https://github.com/recurser/exif-orientation-examples
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inputJpgWithPortraitExif2: getPath('Portrait_2.jpg'), // https://github.com/recurser/exif-orientation-examples
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inputJpgWithPortraitExif3: getPath('Portrait_3.jpg'), // https://github.com/recurser/exif-orientation-examples
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inputJpgWithPortraitExif4: getPath('Portrait_4.jpg'), // https://github.com/recurser/exif-orientation-examples
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inputJpgWithPortraitExif5: getPath('Portrait_5.jpg'), // https://github.com/recurser/exif-orientation-examples
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inputJpgWithPortraitExif6: getPath('Portrait_6.jpg'), // https://github.com/recurser/exif-orientation-examples
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inputJpgWithPortraitExif7: getPath('Portrait_7.jpg'), // https://github.com/recurser/exif-orientation-examples
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inputJpgWithPortraitExif8: getPath('Portrait_8.jpg'), // https://github.com/recurser/exif-orientation-examples
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inputJpg: getPath('2569067123_aca715a2ee_o.jpg'), // http://www.flickr.com/photos/grizdave/2569067123/
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inputJpgWithExif: getPath('Landscape_8.jpg'), // https://github.com/recurser/exif-orientation-examples/blob/master/Landscape_8.jpg
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inputJpgWithExifMirroring: getPath('Landscape_5.jpg'), // https://github.com/recurser/exif-orientation-examples/blob/master/Landscape_5.jpg
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inputJpgWithGammaHoliness: getPath('gamma_dalai_lama_gray.jpg'), // http://www.4p8.com/eric.brasseur/gamma.html
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inputJpgWithCmykProfile: getPath('Channel_digital_image_CMYK_color.jpg'), // http://en.wikipedia.org/wiki/File:Channel_digital_image_CMYK_color.jpg
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inputJpgWithCmykNoProfile: getPath('Channel_digital_image_CMYK_color_no_profile.jpg'),
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inputJpgWithCorruptHeader: getPath('corrupt-header.jpg'),
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inputJpgWithLowContrast: getPath('low-contrast.jpg'), // http://www.flickr.com/photos/grizdave/2569067123/
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inputJpgLarge: getPath('giant-image.jpg'),
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inputJpg320x240: getPath('320x240.jpg'), // http://www.andrewault.net/2010/01/26/create-a-test-pattern-video-with-perl/
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inputPng: getPath('50020484-00001.png'), // http://c.searspartsdirect.com/lis_png/PLDM/50020484-00001.png
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inputPngWithTransparency: getPath('blackbug.png'), // public domain
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inputPngWithGreyAlpha: getPath('grey-8bit-alpha.png'),
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inputPngWithOneColor: getPath('2x2_fdcce6.png'),
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inputPngWithTransparency16bit: getPath('tbgn2c16.png'), // http://www.schaik.com/pngsuite/tbgn2c16.png
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inputPngOverlayLayer0: getPath('alpha-layer-0-background.png'),
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inputPngOverlayLayer1: getPath('alpha-layer-1-fill.png'),
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inputPngOverlayLayer2: getPath('alpha-layer-2-ink.png'),
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inputPngOverlayLayer1LowAlpha: getPath('alpha-layer-1-fill-low-alpha.png'),
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inputPngOverlayLayer2LowAlpha: getPath('alpha-layer-2-ink-low-alpha.png'),
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inputPngAlphaPremultiplicationSmall: getPath('alpha-premultiply-1024x768-paper.png'),
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inputPngAlphaPremultiplicationLarge: getPath('alpha-premultiply-2048x1536-paper.png'),
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inputPngBooleanNoAlpha: getPath('bandbool.png'),
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inputPngTestJoinChannel: getPath('testJoinChannel.png'),
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inputWebP: getPath('4.webp'), // http://www.gstatic.com/webp/gallery/4.webp
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inputWebPWithTransparency: getPath('5_webp_a.webp'), // http://www.gstatic.com/webp/gallery3/5_webp_a.webp
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inputTiff: getPath('G31D.TIF'), // http://www.fileformat.info/format/tiff/sample/e6c9a6e5253348f4aef6d17b534360ab/index.htm
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inputTiffCielab: getPath('cielab-dagams.tiff'), // https://github.com/lovell/sharp/issues/646
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inputTiffUncompressed: getPath('uncompressed_tiff.tiff'), // https://code.google.com/archive/p/imagetestsuite/wikis/TIFFTestSuite.wiki file: 0c84d07e1b22b76f24cccc70d8788e4a.tif
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inputTiff8BitDepth: getPath('8bit_depth.tiff'),
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inputGif: getPath('Crash_test.gif'), // http://upload.wikimedia.org/wikipedia/commons/e/e3/Crash_test.gif
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inputGifGreyPlusAlpha: getPath('grey-plus-alpha.gif'), // http://i.imgur.com/gZ5jlmE.gif
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inputSvg: getPath('check.svg'), // http://dev.w3.org/SVG/tools/svgweb/samples/svg-files/check.svg
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inputSvgWithEmbeddedImages: getPath('struct-image-04-t.svg'), // https://dev.w3.org/SVG/profiles/1.2T/test/svg/struct-image-04-t.svg
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inputJPGBig: getPath('flowers.jpeg'),
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inputPngStripesV: getPath('stripesV.png'),
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inputPngStripesH: getPath('stripesH.png'),
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inputJpgBooleanTest: getPath('booleanTest.jpg'),
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inputV: getPath('vfile.v'),
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outputJpg: getPath('output.jpg'),
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outputPng: getPath('output.png'),
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outputWebP: getPath('output.webp'),
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outputV: getPath('output.v'),
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outputTiff: getPath('output.tiff'),
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outputZoinks: getPath('output.zoinks'), // an 'unknown' file extension
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// Path for tests requiring human inspection
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path: getPath,
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// Path for expected output images
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expected: function (filename) {
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return getPath(path.join('expected', filename));
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},
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// Verify similarity of expected vs actual images via fingerprint
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// Specify distance threshold using `options={threshold: 42}`, default
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// `threshold` is 5;
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assertSimilar: function (expectedImage, actualImage, options, callback) {
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if (typeof options === 'function') {
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callback = options;
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options = {};
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}
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if (typeof options === 'undefined' && options === null) {
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options = {};
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}
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if (options.threshold === null || typeof options.threshold === 'undefined') {
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options.threshold = 5; // ~7% threshold
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}
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if (typeof options.threshold !== 'number') {
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throw new TypeError('`options.threshold` must be a number');
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}
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if (typeof callback !== 'function') {
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throw new TypeError('`callback` must be a function');
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}
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fingerprint(expectedImage, function (err, expectedFingerprint) {
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if (err) return callback(err);
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fingerprint(actualImage, function (err, actualFingerprint) {
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if (err) return callback(err);
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let distance = 0;
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for (let i = 0; i < 64; i++) {
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if (expectedFingerprint[i] !== actualFingerprint[i]) {
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distance++;
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}
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}
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if (distance > options.threshold) {
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return callback(new Error('Expected maximum similarity distance: ' + options.threshold + '. Actual: ' + distance + '.'));
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}
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callback();
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});
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});
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},
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assertMaxColourDistance: function (actualImagePath, expectedImagePath, acceptedDistance) {
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if (typeof actualImagePath !== 'string') {
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throw new TypeError('`actualImagePath` must be a string; got ' + actualImagePath);
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}
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if (typeof expectedImagePath !== 'string') {
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throw new TypeError('`expectedImagePath` must be a string; got ' + expectedImagePath);
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}
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if (typeof acceptedDistance !== 'number') {
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// Default threshold
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acceptedDistance = 1;
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}
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const distance = maxColourDistance(actualImagePath, expectedImagePath);
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if (distance > acceptedDistance) {
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throw new Error('Expected maximum absolute distance of ' + acceptedDistance + ', actual ' + distance);
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}
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}
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};
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