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137 lines
4.4 KiB
JavaScript
137 lines
4.4 KiB
JavaScript
// Copyright 2013 Lovell Fuller and others.
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// SPDX-License-Identifier: Apache-2.0
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'use strict';
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const sharp = require('../../');
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const fixtures = require('../fixtures');
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const assert = require('assert');
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describe('Linear adjustment', function () {
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const blackPoint = 70;
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const whitePoint = 203;
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const a = 255 / (whitePoint - blackPoint);
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const b = -blackPoint * a;
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it('applies linear levels adjustment w/o alpha ch', function (done) {
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sharp(fixtures.inputJpgWithLowContrast)
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.linear(a, b)
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.toBuffer(function (err, data, info) {
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if (err) throw err;
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fixtures.assertSimilar(fixtures.expected('low-contrast-linear.jpg'), data, done);
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});
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});
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it('applies slope level adjustment w/o alpha ch', function (done) {
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sharp(fixtures.inputJpgWithLowContrast)
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.linear(a)
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.toBuffer(function (err, data, info) {
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if (err) throw err;
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fixtures.assertSimilar(fixtures.expected('low-contrast-slope.jpg'), data, done);
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});
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});
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it('applies offset level adjustment w/o alpha ch', function (done) {
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sharp(fixtures.inputJpgWithLowContrast)
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.linear(null, b)
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.toBuffer(function (err, data, info) {
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if (err) throw err;
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fixtures.assertSimilar(fixtures.expected('low-contrast-offset.jpg'), data, done);
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});
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});
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it('applies linear levels adjustment w alpha ch', function (done) {
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sharp(fixtures.inputPngOverlayLayer1)
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.resize(240)
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.linear(a, b)
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.toBuffer(function (err, data) {
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if (err) throw err;
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fixtures.assertSimilar(fixtures.expected('alpha-layer-1-fill-linear.png'), data, done);
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});
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});
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it('applies linear levels adjustment to 16-bit w alpha ch', function (done) {
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sharp(fixtures.inputPngWithTransparency16bit)
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.linear(a, b)
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.png({ compressionLevel: 0 })
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.toBuffer(function (err, data) {
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if (err) throw err;
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fixtures.assertSimilar(fixtures.expected('linear-16bit.png'), data, done);
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});
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});
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it('applies slope level adjustment w alpha ch', function (done) {
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sharp(fixtures.inputPngOverlayLayer1)
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.resize(240)
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.linear(a)
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.toBuffer(function (err, data) {
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if (err) throw err;
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fixtures.assertSimilar(fixtures.expected('alpha-layer-1-fill-slope.png'), data, done);
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});
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});
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it('applies offset level adjustment w alpha ch', function (done) {
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sharp(fixtures.inputPngOverlayLayer1)
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.resize(240)
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.linear(null, b)
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.toBuffer(function (err, data) {
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if (err) throw err;
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fixtures.assertSimilar(fixtures.expected('alpha-layer-1-fill-offset.png'), data, done);
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});
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});
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it('per channel level adjustment', function (done) {
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sharp(fixtures.inputWebP)
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.linear([0.25, 0.5, 0.75], [150, 100, 50]).toBuffer(function (err, data, info) {
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if (err) throw err;
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fixtures.assertSimilar(fixtures.expected('linear-per-channel.jpg'), data, done);
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});
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});
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it('output is integer, not float, RGB', async () => {
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const data = await sharp({ create: { width: 1, height: 1, channels: 3, background: 'red' } })
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.linear(1, 0)
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.tiff({ compression: 'none' })
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.toBuffer();
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const { channels, depth } = await sharp(data).metadata();
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assert.strictEqual(channels, 3);
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assert.strictEqual(depth, 'uchar');
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});
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it('output is integer, not float, RGBA', async () => {
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const data = await sharp({ create: { width: 1, height: 1, channels: 4, background: '#ff000077' } })
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.linear(1, 0)
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.tiff({ compression: 'none' })
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.toBuffer();
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const { channels, depth } = await sharp(data).metadata();
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assert.strictEqual(channels, 4);
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assert.strictEqual(depth, 'uchar');
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});
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it('Invalid linear arguments', function () {
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assert.throws(
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() => sharp().linear('foo'),
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/Expected number or array of numbers for a but received foo of type string/
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);
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assert.throws(
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() => sharp().linear(undefined, { bar: 'baz' }),
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/Expected number or array of numbers for b but received \[object Object\] of type object/
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);
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assert.throws(
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() => sharp().linear([], [1]),
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/Expected number or array of numbers for a but received {2}of type object/
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);
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assert.throws(
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() => sharp().linear([1, 2], [1]),
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/Expected a and b to be arrays of the same length/
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);
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assert.throws(
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() => sharp().linear([1]),
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/Expected a and b to be arrays of the same length/
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);
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});
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});
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