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Add removeAlpha op, removes alpha channel if any #1248
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@ -1,5 +1,21 @@
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<!-- Generated by documentation.js. Update this documentation by updating the source code. -->
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## removeAlpha
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Remove alpha channel, if any. This is a no-op if the image does not have an alpha channel.
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### Examples
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```javascript
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sharp('rgba.png')
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.removeAlpha()
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.toFile('rgb.png', function(err, info) {
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// rgb.png is a 3 channel image without an alpha channel
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});
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```
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Returns **Sharp**
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## extractChannel
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Extract a single channel from a multi-channel image.
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@ -79,6 +79,7 @@ A Promise is returned when `callback` is not provided.
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- `maxX` (x-coordinate of one of the pixel where the maximum lies)
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- `maxY` (y-coordinate of one of the pixel where the maximum lies)
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- `isOpaque`: Value to identify if the image is opaque or transparent, based on the presence and use of alpha channel
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- `entropy`: Histogram-based estimation of greyscale entropy, discarding alpha channel if any (experimental)
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### Parameters
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@ -6,6 +6,9 @@ Requires libvips v8.6.1.
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#### v0.20.6 - TBD
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* Add removeAlpha operation to remove alpha channel, if any.
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[#1248](https://github.com/lovell/sharp/issues/1248)
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* Expose mozjpeg quant_table flag.
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[#1285](https://github.com/lovell/sharp/pull/1285)
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[@rexxars](https://github.com/rexxars)
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@ -12,6 +12,23 @@ const bool = {
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eor: 'eor'
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};
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/**
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* Remove alpha channel, if any. This is a no-op if the image does not have an alpha channel.
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*
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* @example
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* sharp('rgba.png')
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* .removeAlpha()
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* .toFile('rgb.png', function(err, info) {
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* // rgb.png is a 3 channel image without an alpha channel
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* });
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*
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* @returns {Sharp}
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*/
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function removeAlpha () {
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this.options.removeAlpha = true;
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return this;
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}
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/**
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* Extract a single channel from a multi-channel image.
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*
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@ -102,6 +119,7 @@ function bandbool (boolOp) {
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module.exports = function (Sharp) {
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// Public instance functions
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[
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removeAlpha,
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extractChannel,
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joinChannel,
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bandbool
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@ -171,6 +171,7 @@ const Sharp = function (input, options) {
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booleanFileIn: '',
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joinChannelIn: [],
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extractChannel: -1,
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removeAlpha: false,
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colourspace: 'srgb',
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// overlay
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overlayGravity: 0,
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@ -28,6 +28,16 @@ using vips::VError;
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namespace sharp {
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/*
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Removes alpha channel, if any.
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*/
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VImage RemoveAlpha(VImage image) {
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if (HasAlpha(image)) {
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image = image.extract_band(0, VImage::option()->set("n", image.bands() - 1));
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}
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return image;
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}
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/*
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Composite overlayImage over image at given position
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Assumes alpha channels are already premultiplied and will be unpremultiplied after
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@ -223,10 +233,8 @@ namespace sharp {
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VImage Gamma(VImage image, double const exponent) {
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if (HasAlpha(image)) {
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// Separate alpha channel
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VImage imageWithoutAlpha = image.extract_band(0,
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VImage::option()->set("n", image.bands() - 1));
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VImage alpha = image[image.bands() - 1];
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return imageWithoutAlpha.gamma(VImage::option()->set("exponent", exponent)).bandjoin(alpha);
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return RemoveAlpha(image).gamma(VImage::option()->set("exponent", exponent)).bandjoin(alpha);
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} else {
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return image.gamma(VImage::option()->set("exponent", exponent));
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}
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@ -374,10 +382,8 @@ namespace sharp {
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VImage Linear(VImage image, double const a, double const b) {
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if (HasAlpha(image)) {
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// Separate alpha channel
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VImage imageWithoutAlpha = image.extract_band(0,
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VImage::option()->set("n", image.bands() - 1));
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VImage alpha = image[image.bands() - 1];
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return imageWithoutAlpha.linear(a, b).bandjoin(alpha);
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return RemoveAlpha(image).linear(a, b).bandjoin(alpha);
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} else {
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return image.linear(a, b);
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}
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@ -25,6 +25,11 @@ using vips::VImage;
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namespace sharp {
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/*
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Removes alpha channel, if any.
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*/
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VImage RemoveAlpha(VImage image);
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/*
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Alpha composite src over dst with given gravity.
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Assumes alpha channels are already premultiplied and will be unpremultiplied after.
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@ -698,6 +698,12 @@ class PipelineWorker : public Nan::AsyncWorker {
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.extract_band(baton->extractChannel)
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.copy(VImage::option()->set("interpretation", VIPS_INTERPRETATION_B_W));
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}
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// Remove alpha channel, if any
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if (baton->removeAlpha) {
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image = sharp::RemoveAlpha(image);
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}
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// Convert image to sRGB, if not already
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if (sharp::Is16Bit(image.interpretation())) {
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image = image.cast(VIPS_FORMAT_USHORT);
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@ -1235,6 +1241,7 @@ NAN_METHOD(pipeline) {
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baton->extendLeft = AttrTo<int32_t>(options, "extendLeft");
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baton->extendRight = AttrTo<int32_t>(options, "extendRight");
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baton->extractChannel = AttrTo<int32_t>(options, "extractChannel");
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baton->removeAlpha = AttrTo<bool>(options, "removeAlpha");
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if (HasAttr(options, "boolean")) {
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baton->boolean = CreateInputDescriptor(AttrAs<v8::Object>(options, "boolean"), buffersToPersist);
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baton->booleanOp = sharp::GetBooleanOperation(AttrAsStr(options, "booleanOp"));
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@ -131,6 +131,7 @@ struct PipelineBaton {
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VipsOperationBoolean booleanOp;
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VipsOperationBoolean bandBoolOp;
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int extractChannel;
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bool removeAlpha;
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VipsInterpretation colourspace;
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int tileSize;
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int tileOverlap;
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@ -213,6 +214,7 @@ struct PipelineBaton {
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booleanOp(VIPS_OPERATION_BOOLEAN_LAST),
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bandBoolOp(VIPS_OPERATION_BOOLEAN_LAST),
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extractChannel(-1),
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removeAlpha(false),
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colourspace(VIPS_INTERPRETATION_LAST),
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tileSize(256),
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tileOverlap(0),
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@ -81,35 +81,45 @@ describe('Alpha transparency', function () {
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});
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});
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it('Enlargement with non-nearest neighbor interpolation shouldn’t cause dark edges', function (done) {
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it('Enlargement with non-nearest neighbor interpolation shouldn’t cause dark edges', function () {
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const base = 'alpha-premultiply-enlargement-2048x1536-paper.png';
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const actual = fixtures.path('output.' + base);
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const expected = fixtures.expected(base);
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sharp(fixtures.inputPngAlphaPremultiplicationSmall)
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return sharp(fixtures.inputPngAlphaPremultiplicationSmall)
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.resize(2048, 1536)
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.toFile(actual, function (err) {
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if (err) {
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done(err);
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} else {
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.toFile(actual)
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.then(function () {
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fixtures.assertMaxColourDistance(actual, expected, 102);
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done();
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}
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});
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});
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it('Reduction with non-nearest neighbor interpolation shouldn’t cause dark edges', function (done) {
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it('Reduction with non-nearest neighbor interpolation shouldn’t cause dark edges', function () {
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const base = 'alpha-premultiply-reduction-1024x768-paper.png';
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const actual = fixtures.path('output.' + base);
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const expected = fixtures.expected(base);
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sharp(fixtures.inputPngAlphaPremultiplicationLarge)
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return sharp(fixtures.inputPngAlphaPremultiplicationLarge)
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.resize(1024, 768)
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.toFile(actual, function (err) {
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if (err) {
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done(err);
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} else {
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.toFile(actual)
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.then(function () {
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fixtures.assertMaxColourDistance(actual, expected, 102);
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done();
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}
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});
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});
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it('Removes alpha from fixtures with transparency, ignores those without', function () {
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return Promise.all([
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fixtures.inputPngWithTransparency,
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fixtures.inputPngWithTransparency16bit,
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fixtures.inputWebPWithTransparency,
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fixtures.inputJpg,
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fixtures.inputPng,
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fixtures.inputWebP
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].map(function (input) {
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return sharp(input)
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.removeAlpha()
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.toBuffer({ resolveWithObject: true })
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.then(function (result) {
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assert.strictEqual(3, result.info.channels);
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});
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}));
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});
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});
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