sharp/test/unit/linear.js
Lovell Fuller 4f9f8179a6
Linter: apply all recommended biome settings
Enforces previously-skipped useArrowFunction check
2025-11-04 09:41:45 +00:00

138 lines
4.3 KiB
JavaScript

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