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{
"extends": "../tsconfig.json",
"compilerOptions": {
"rootDir": "../src",
"module": "nodenext",
"moduleResolution": "nodenext"
}
}
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{
"extends": "./build.json",
"include": [
"../src/**/*.ts",
"../src/**/*.cts",
"../src/**/*.tsx",
"../src/**/*.json"
],
"exclude": [
"../**/*.test.ts",
"../src/**/*.mts",
"../src/package.json"
],
"compilerOptions": {
"outDir": "../.tshy-build/commonjs"
}
}
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{
"extends": "./build.json",
"include": [
"../src/**/*.ts",
"../src/**/*.mts",
"../src/**/*.tsx",
"../src/**/*.json"
],
"exclude": [
"../**/*.test.ts",
"../src/package.json"
],
"compilerOptions": {
"outDir": "../.tshy-build/esm"
}
}
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> @jimp/plugin-crop@1.5.0 build /Users/andrewlisowski/Documents/jimp/plugins/plugin-crop
> tshy
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> @jimp/plugin-crop@1.1.2 lint /Users/andrewlisowski/Documents/jimp/plugins/plugin-crop
> eslint .
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> @jimp/plugin-crop@1.1.2 test:browser /Users/andrewlisowski/Documents/jimp/plugins/plugin-crop
> vitest --config vitest.config.browser.mjs "--watch=false"
Port 5173 is in use, trying another one...
Port 5174 is in use, trying another one...
Port 5175 is in use, trying another one...
 RUN  v2.0.5 /Users/andrewlisowski/Documents/jimp/plugins/plugin-crop
 Browser runner started at http://localhost:5176/
1:39:24 AM [vite] ✨ new dependencies optimized: vite-plugin-node-polyfills/shims/buffer, vite-plugin-node-polyfills/shims/global, vite-plugin-node-polyfills/shims/process, path
1:39:24 AM [vite] ✨ optimized dependencies changed. reloading
[?25l · src/autocrop.test.ts (15)
· src/crop.test.ts (6)
[?25l[?25l[?25l[?25l[?25l[?25l[?25l[?25l[?25l[?25l[?25l[?25l[?25l[?25l[?25l[?25l[?25l[?25l[?25l[?25l[?25l[?25l[?25l[?25l[?25l[?25l[?25l[?25l[?25l[?25l[?25l[?25l[?25l[?25l[?25l ✓ src/autocrop.test.ts (15)
✓ src/crop.test.ts (6)
 ✓ src/autocrop.test.ts (15)
✓ src/crop.test.ts (6)
 Test Files  2 passed (2)
 Tests  21 passed (21)
 Start at  01:39:14
 Duration  12.94s (transform 0ms, setup 0ms, collect 1.07s, tests 11ms, environment 0ms, prepare 4.31s)
[?25h[?25h
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> @jimp/plugin-crop@1.1.2 test /Users/andrewlisowski/Documents/jimp/plugins/plugin-crop
> vitest "--watch=false"
 RUN  v2.0.5 /Users/andrewlisowski/Documents/jimp/plugins/plugin-crop
[?25l · src/crop.test.ts (6)
[?25l[?25l[?25l[?25l[?25l[?25l · src/autocrop.test.ts (15)
· src/crop.test.ts (6)
[?25l · src/autocrop.test.ts (15)
✓ src/crop.test.ts (6)
[?25l[?25l[?25l[?25l[?25l[?25l[?25l[?25l[?25l[?25l[?25l[?25l[?25l[?25l[?25l ✓ src/autocrop.test.ts (15)
✓ src/crop.test.ts (6)
[?25l[?25l[?25l[?25l ✓ src/autocrop.test.ts (15)
✓ src/crop.test.ts (6)
 Test Files  2 passed (2)
 Tests  21 passed (21)
 Start at  01:33:33
 Duration  2.26s (transform 465ms, setup 0ms, collect 963ms, tests 196ms, environment 0ms, prepare 730ms)
[?25h[?25h
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# v1.1.3 (Mon Sep 02 2024)
#### 🐛 Bug Fix
- Update deps [#1319](https://github.com/jimp-dev/jimp/pull/1319) ([@hipstersmoothie](https://github.com/hipstersmoothie))
#### Authors: 1
- Andrew Lisowski ([@hipstersmoothie](https://github.com/hipstersmoothie))
---
# v1.1.0 (Sun Sep 01 2024)
#### ⚠️ Pushed to `main`
- upgrade tshy ([@hipstersmoothie](https://github.com/hipstersmoothie))
- update more docs ([@hipstersmoothie](https://github.com/hipstersmoothie))
#### Authors: 1
- Andrew Lisowski ([@hipstersmoothie](https://github.com/hipstersmoothie))
---
# v1.0.3 (Sat Aug 31 2024)
#### 🐛 Bug Fix
- Fix build [#1303](https://github.com/jimp-dev/jimp/pull/1303) ([@hipstersmoothie](https://github.com/hipstersmoothie))
#### ⚠️ Pushed to `main`
- add clean script ([@hipstersmoothie](https://github.com/hipstersmoothie))
#### Authors: 1
- Andrew Lisowski ([@hipstersmoothie](https://github.com/hipstersmoothie))
---
# v1.0.2 (Sat Aug 31 2024)
#### ⚠️ Pushed to `main`
- set side effects ([@hipstersmoothie](https://github.com/hipstersmoothie))
- fix versions ([@hipstersmoothie](https://github.com/hipstersmoothie))
- add publish config ([@hipstersmoothie](https://github.com/hipstersmoothie))
#### Authors: 1
- Andrew Lisowski ([@hipstersmoothie](https://github.com/hipstersmoothie))
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MIT License
Copyright (c) 2018 Oliver Moran
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
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<div align="center">
<img width="200" height="200"
src="https://s3.amazonaws.com/pix.iemoji.com/images/emoji/apple/ios-11/256/crayon.png">
<h1>@jimp/plugin-crop</h1>
<p>Crop an image.</p>
</div>
- [crop](http://jimp-dev.github.io/jimp/api/jimp/classes/jimp#crop)
- [autocrop](http://jimp-dev.github.io/jimp/api/jimp/classes/jimp#autocrop)
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import { JimpClass } from "@jimp/types";
import { z } from "zod";
export declare const CropOptionsSchema: z.ZodObject<{
/** the x position to crop form */
x: z.ZodNumber;
/** the y position to crop form */
y: z.ZodNumber;
/** the width to crop form */
w: z.ZodNumber;
/** the height to crop form */
h: z.ZodNumber;
}, "strip", z.ZodTypeAny, {
x: number;
y: number;
w: number;
h: number;
}, {
x: number;
y: number;
w: number;
h: number;
}>;
export type CropOptions = z.infer<typeof CropOptionsSchema>;
declare const AutocropComplexOptionsSchema: z.ZodObject<{
/** percent of color difference tolerance (default value) */
tolerance: z.ZodOptional<z.ZodNumber>;
/** flag to force cropping only if the image has a real "frame" i.e. all 4 sides have some border (default value) */
cropOnlyFrames: z.ZodOptional<z.ZodBoolean>;
/** force cropping top be symmetric */
cropSymmetric: z.ZodOptional<z.ZodBoolean>;
/** Amount of pixels in border to leave */
leaveBorder: z.ZodOptional<z.ZodNumber>;
ignoreSides: z.ZodOptional<z.ZodObject<{
north: z.ZodOptional<z.ZodBoolean>;
south: z.ZodOptional<z.ZodBoolean>;
east: z.ZodOptional<z.ZodBoolean>;
west: z.ZodOptional<z.ZodBoolean>;
}, "strip", z.ZodTypeAny, {
north?: boolean | undefined;
south?: boolean | undefined;
east?: boolean | undefined;
west?: boolean | undefined;
}, {
north?: boolean | undefined;
south?: boolean | undefined;
east?: boolean | undefined;
west?: boolean | undefined;
}>>;
}, "strip", z.ZodTypeAny, {
tolerance?: number | undefined;
cropOnlyFrames?: boolean | undefined;
cropSymmetric?: boolean | undefined;
leaveBorder?: number | undefined;
ignoreSides?: {
north?: boolean | undefined;
south?: boolean | undefined;
east?: boolean | undefined;
west?: boolean | undefined;
} | undefined;
}, {
tolerance?: number | undefined;
cropOnlyFrames?: boolean | undefined;
cropSymmetric?: boolean | undefined;
leaveBorder?: number | undefined;
ignoreSides?: {
north?: boolean | undefined;
south?: boolean | undefined;
east?: boolean | undefined;
west?: boolean | undefined;
} | undefined;
}>;
export type AutocropComplexOptions = z.infer<typeof AutocropComplexOptionsSchema>;
export type AutocropOptions = number | AutocropComplexOptions;
export declare const methods: {
/**
* Crops the image at a given point to a give size.
*
* @example
* ```ts
* import { Jimp } from "jimp";
*
* const image = await Jimp.read("test/image.png");
* const cropped = image.crop(150, 100);
* ```
*/
crop<I extends JimpClass>(image: I, options: CropOptions): I;
/**
* Autocrop same color borders from this image.
* This function will attempt to crop out transparent pixels from the image.
*
* @example
* ```ts
* import { Jimp } from "jimp";
*
* const image = await Jimp.read("test/image.png");
* const cropped = image.autocrop();
* ```
*/
autocrop<I extends JimpClass>(image: I, options?: AutocropOptions): I;
};
export {};
//# sourceMappingURL=index.d.ts.map
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"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
exports.methods = exports.CropOptionsSchema = void 0;
const utils_1 = require("@jimp/utils");
const zod_1 = require("zod");
exports.CropOptionsSchema = zod_1.z.object({
/** the x position to crop form */
x: zod_1.z.number(),
/** the y position to crop form */
y: zod_1.z.number(),
/** the width to crop form */
w: zod_1.z.number(),
/** the height to crop form */
h: zod_1.z.number(),
});
const AutocropComplexOptionsSchema = zod_1.z.object({
/** percent of color difference tolerance (default value) */
tolerance: zod_1.z.number().min(0).max(1).optional(),
/** flag to force cropping only if the image has a real "frame" i.e. all 4 sides have some border (default value) */
cropOnlyFrames: zod_1.z.boolean().optional(),
/** force cropping top be symmetric */
cropSymmetric: zod_1.z.boolean().optional(),
/** Amount of pixels in border to leave */
leaveBorder: zod_1.z.number().optional(),
ignoreSides: zod_1.z
.object({
north: zod_1.z.boolean().optional(),
south: zod_1.z.boolean().optional(),
east: zod_1.z.boolean().optional(),
west: zod_1.z.boolean().optional(),
})
.optional(),
});
exports.methods = {
/**
* Crops the image at a given point to a give size.
*
* @example
* ```ts
* import { Jimp } from "jimp";
*
* const image = await Jimp.read("test/image.png");
* const cropped = image.crop(150, 100);
* ```
*/
crop(image, options) {
let { x, y, w, h } = exports.CropOptionsSchema.parse(options);
// round input
x = Math.round(x);
y = Math.round(y);
w = Math.round(w);
h = Math.round(h);
if (x === 0 && w === image.bitmap.width) {
// shortcut
const start = (w * y + x) << 2;
const end = start + ((h * w) << 2);
image.bitmap.data = image.bitmap.data.slice(start, end);
}
else {
const bitmap = Buffer.allocUnsafe(w * h * 4);
let offset = 0;
(0, utils_1.scan)(image, x, y, w, h, function (_, __, idx) {
const data = image.bitmap.data.readUInt32BE(idx);
bitmap.writeUInt32BE(data, offset);
offset += 4;
});
image.bitmap.data = bitmap;
}
image.bitmap.width = w;
image.bitmap.height = h;
return image;
},
/**
* Autocrop same color borders from this image.
* This function will attempt to crop out transparent pixels from the image.
*
* @example
* ```ts
* import { Jimp } from "jimp";
*
* const image = await Jimp.read("test/image.png");
* const cropped = image.autocrop();
* ```
*/
autocrop(image, options = {}) {
const { tolerance = 0.0002, cropOnlyFrames = true, cropSymmetric = false, leaveBorder = 0, ignoreSides: ignoreSidesArg, } = typeof options === "number"
? { tolerance: options }
: AutocropComplexOptionsSchema.parse(options);
const w = image.bitmap.width;
const h = image.bitmap.height;
const minPixelsPerSide = 1; // to avoid cropping completely the image, resulting in an invalid 0 sized image
// i.e. north and south / east and west are cropped by the same value
const ignoreSides = {
north: false,
south: false,
east: false,
west: false,
...ignoreSidesArg,
};
/**
* All borders must be of the same color as the top left pixel, to be cropped.
* It should be possible to crop borders each with a different color,
* but since there are many ways for corners to intersect, it would
* introduce unnecessary complexity to the algorithm.
*/
// scan each side for same color borders
let colorTarget = image.getPixelColor(0, 0); // top left pixel color is the target color
const rgba1 = (0, utils_1.intToRGBA)(colorTarget);
// for north and east sides
let northPixelsToCrop = 0;
let eastPixelsToCrop = 0;
let southPixelsToCrop = 0;
let westPixelsToCrop = 0;
// north side (scan rows from north to south)
colorTarget = image.getPixelColor(0, 0);
if (!ignoreSides.north) {
north: for (let y = 0; y < h - minPixelsPerSide; y++) {
for (let x = 0; x < w; x++) {
const colorXY = image.getPixelColor(x, y);
const rgba2 = (0, utils_1.intToRGBA)(colorXY);
if ((0, utils_1.colorDiff)(rgba1, rgba2) > tolerance) {
// this pixel is too distant from the first one: abort this side scan
break north;
}
}
// this row contains all pixels with the same color: increment this side pixels to crop
northPixelsToCrop++;
}
}
// west side (scan columns from west to east)
colorTarget = image.getPixelColor(w, 0);
if (!ignoreSides.west) {
west: for (let x = 0; x < w - minPixelsPerSide; x++) {
for (let y = 0 + northPixelsToCrop; y < h; y++) {
const colorXY = image.getPixelColor(x, y);
const rgba2 = (0, utils_1.intToRGBA)(colorXY);
if ((0, utils_1.colorDiff)(rgba1, rgba2) > tolerance) {
// this pixel is too distant from the first one: abort this side scan
break west;
}
}
// this column contains all pixels with the same color: increment this side pixels to crop
westPixelsToCrop++;
}
}
// south side (scan rows from south to north)
colorTarget = image.getPixelColor(0, h);
if (!ignoreSides.south) {
south: for (let y = h - 1; y >= northPixelsToCrop + minPixelsPerSide; y--) {
for (let x = w - eastPixelsToCrop - 1; x >= 0; x--) {
const colorXY = image.getPixelColor(x, y);
const rgba2 = (0, utils_1.intToRGBA)(colorXY);
if ((0, utils_1.colorDiff)(rgba1, rgba2) > tolerance) {
// this pixel is too distant from the first one: abort this side scan
break south;
}
}
// this row contains all pixels with the same color: increment this side pixels to crop
southPixelsToCrop++;
}
}
// east side (scan columns from east to west)
colorTarget = image.getPixelColor(w, h);
if (!ignoreSides.east) {
east: for (let x = w - 1; x >= 0 + westPixelsToCrop + minPixelsPerSide; x--) {
for (let y = h - 1; y >= 0 + northPixelsToCrop; y--) {
const colorXY = image.getPixelColor(x, y);
const rgba2 = (0, utils_1.intToRGBA)(colorXY);
if ((0, utils_1.colorDiff)(rgba1, rgba2) > tolerance) {
// this pixel is too distant from the first one: abort this side scan
break east;
}
}
// this column contains all pixels with the same color: increment this side pixels to crop
eastPixelsToCrop++;
}
}
// decide if a crop is needed
let doCrop = false;
// apply leaveBorder
westPixelsToCrop -= leaveBorder;
eastPixelsToCrop -= leaveBorder;
northPixelsToCrop -= leaveBorder;
southPixelsToCrop -= leaveBorder;
if (cropSymmetric) {
const horizontal = Math.min(eastPixelsToCrop, westPixelsToCrop);
const vertical = Math.min(northPixelsToCrop, southPixelsToCrop);
westPixelsToCrop = horizontal;
eastPixelsToCrop = horizontal;
northPixelsToCrop = vertical;
southPixelsToCrop = vertical;
}
// make sure that crops are >= 0
westPixelsToCrop = westPixelsToCrop >= 0 ? westPixelsToCrop : 0;
eastPixelsToCrop = eastPixelsToCrop >= 0 ? eastPixelsToCrop : 0;
northPixelsToCrop = northPixelsToCrop >= 0 ? northPixelsToCrop : 0;
southPixelsToCrop = southPixelsToCrop >= 0 ? southPixelsToCrop : 0;
// safety checks
const widthOfRemainingPixels = w - (westPixelsToCrop + eastPixelsToCrop);
const heightOfRemainingPixels = h - (southPixelsToCrop + northPixelsToCrop);
if (cropOnlyFrames) {
// crop image if all sides should be cropped
doCrop =
eastPixelsToCrop !== 0 &&
northPixelsToCrop !== 0 &&
westPixelsToCrop !== 0 &&
southPixelsToCrop !== 0;
}
else {
// crop image if at least one side should be cropped
doCrop =
eastPixelsToCrop !== 0 ||
northPixelsToCrop !== 0 ||
westPixelsToCrop !== 0 ||
southPixelsToCrop !== 0;
}
if (doCrop) {
// do the real crop
this.crop(image, {
x: westPixelsToCrop,
y: northPixelsToCrop,
w: widthOfRemainingPixels,
h: heightOfRemainingPixels,
});
}
return image;
},
};
//# sourceMappingURL=index.js.map
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{
"type": "commonjs"
}
+102
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import { JimpClass } from "@jimp/types";
import { z } from "zod";
export declare const CropOptionsSchema: z.ZodObject<{
/** the x position to crop form */
x: z.ZodNumber;
/** the y position to crop form */
y: z.ZodNumber;
/** the width to crop form */
w: z.ZodNumber;
/** the height to crop form */
h: z.ZodNumber;
}, "strip", z.ZodTypeAny, {
x: number;
y: number;
w: number;
h: number;
}, {
x: number;
y: number;
w: number;
h: number;
}>;
export type CropOptions = z.infer<typeof CropOptionsSchema>;
declare const AutocropComplexOptionsSchema: z.ZodObject<{
/** percent of color difference tolerance (default value) */
tolerance: z.ZodOptional<z.ZodNumber>;
/** flag to force cropping only if the image has a real "frame" i.e. all 4 sides have some border (default value) */
cropOnlyFrames: z.ZodOptional<z.ZodBoolean>;
/** force cropping top be symmetric */
cropSymmetric: z.ZodOptional<z.ZodBoolean>;
/** Amount of pixels in border to leave */
leaveBorder: z.ZodOptional<z.ZodNumber>;
ignoreSides: z.ZodOptional<z.ZodObject<{
north: z.ZodOptional<z.ZodBoolean>;
south: z.ZodOptional<z.ZodBoolean>;
east: z.ZodOptional<z.ZodBoolean>;
west: z.ZodOptional<z.ZodBoolean>;
}, "strip", z.ZodTypeAny, {
north?: boolean | undefined;
south?: boolean | undefined;
east?: boolean | undefined;
west?: boolean | undefined;
}, {
north?: boolean | undefined;
south?: boolean | undefined;
east?: boolean | undefined;
west?: boolean | undefined;
}>>;
}, "strip", z.ZodTypeAny, {
tolerance?: number | undefined;
cropOnlyFrames?: boolean | undefined;
cropSymmetric?: boolean | undefined;
leaveBorder?: number | undefined;
ignoreSides?: {
north?: boolean | undefined;
south?: boolean | undefined;
east?: boolean | undefined;
west?: boolean | undefined;
} | undefined;
}, {
tolerance?: number | undefined;
cropOnlyFrames?: boolean | undefined;
cropSymmetric?: boolean | undefined;
leaveBorder?: number | undefined;
ignoreSides?: {
north?: boolean | undefined;
south?: boolean | undefined;
east?: boolean | undefined;
west?: boolean | undefined;
} | undefined;
}>;
export type AutocropComplexOptions = z.infer<typeof AutocropComplexOptionsSchema>;
export type AutocropOptions = number | AutocropComplexOptions;
export declare const methods: {
/**
* Crops the image at a given point to a give size.
*
* @example
* ```ts
* import { Jimp } from "jimp";
*
* const image = await Jimp.read("test/image.png");
* const cropped = image.crop(150, 100);
* ```
*/
crop<I extends JimpClass>(image: I, options: CropOptions): I;
/**
* Autocrop same color borders from this image.
* This function will attempt to crop out transparent pixels from the image.
*
* @example
* ```ts
* import { Jimp } from "jimp";
*
* const image = await Jimp.read("test/image.png");
* const cropped = image.autocrop();
* ```
*/
autocrop<I extends JimpClass>(image: I, options?: AutocropOptions): I;
};
export {};
//# sourceMappingURL=index.d.ts.map
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+226
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import { colorDiff, intToRGBA, scan } from "@jimp/utils";
import { z } from "zod";
export const CropOptionsSchema = z.object({
/** the x position to crop form */
x: z.number(),
/** the y position to crop form */
y: z.number(),
/** the width to crop form */
w: z.number(),
/** the height to crop form */
h: z.number(),
});
const AutocropComplexOptionsSchema = z.object({
/** percent of color difference tolerance (default value) */
tolerance: z.number().min(0).max(1).optional(),
/** flag to force cropping only if the image has a real "frame" i.e. all 4 sides have some border (default value) */
cropOnlyFrames: z.boolean().optional(),
/** force cropping top be symmetric */
cropSymmetric: z.boolean().optional(),
/** Amount of pixels in border to leave */
leaveBorder: z.number().optional(),
ignoreSides: z
.object({
north: z.boolean().optional(),
south: z.boolean().optional(),
east: z.boolean().optional(),
west: z.boolean().optional(),
})
.optional(),
});
export const methods = {
/**
* Crops the image at a given point to a give size.
*
* @example
* ```ts
* import { Jimp } from "jimp";
*
* const image = await Jimp.read("test/image.png");
* const cropped = image.crop(150, 100);
* ```
*/
crop(image, options) {
let { x, y, w, h } = CropOptionsSchema.parse(options);
// round input
x = Math.round(x);
y = Math.round(y);
w = Math.round(w);
h = Math.round(h);
if (x === 0 && w === image.bitmap.width) {
// shortcut
const start = (w * y + x) << 2;
const end = start + ((h * w) << 2);
image.bitmap.data = image.bitmap.data.slice(start, end);
}
else {
const bitmap = Buffer.allocUnsafe(w * h * 4);
let offset = 0;
scan(image, x, y, w, h, function (_, __, idx) {
const data = image.bitmap.data.readUInt32BE(idx);
bitmap.writeUInt32BE(data, offset);
offset += 4;
});
image.bitmap.data = bitmap;
}
image.bitmap.width = w;
image.bitmap.height = h;
return image;
},
/**
* Autocrop same color borders from this image.
* This function will attempt to crop out transparent pixels from the image.
*
* @example
* ```ts
* import { Jimp } from "jimp";
*
* const image = await Jimp.read("test/image.png");
* const cropped = image.autocrop();
* ```
*/
autocrop(image, options = {}) {
const { tolerance = 0.0002, cropOnlyFrames = true, cropSymmetric = false, leaveBorder = 0, ignoreSides: ignoreSidesArg, } = typeof options === "number"
? { tolerance: options }
: AutocropComplexOptionsSchema.parse(options);
const w = image.bitmap.width;
const h = image.bitmap.height;
const minPixelsPerSide = 1; // to avoid cropping completely the image, resulting in an invalid 0 sized image
// i.e. north and south / east and west are cropped by the same value
const ignoreSides = {
north: false,
south: false,
east: false,
west: false,
...ignoreSidesArg,
};
/**
* All borders must be of the same color as the top left pixel, to be cropped.
* It should be possible to crop borders each with a different color,
* but since there are many ways for corners to intersect, it would
* introduce unnecessary complexity to the algorithm.
*/
// scan each side for same color borders
let colorTarget = image.getPixelColor(0, 0); // top left pixel color is the target color
const rgba1 = intToRGBA(colorTarget);
// for north and east sides
let northPixelsToCrop = 0;
let eastPixelsToCrop = 0;
let southPixelsToCrop = 0;
let westPixelsToCrop = 0;
// north side (scan rows from north to south)
colorTarget = image.getPixelColor(0, 0);
if (!ignoreSides.north) {
north: for (let y = 0; y < h - minPixelsPerSide; y++) {
for (let x = 0; x < w; x++) {
const colorXY = image.getPixelColor(x, y);
const rgba2 = intToRGBA(colorXY);
if (colorDiff(rgba1, rgba2) > tolerance) {
// this pixel is too distant from the first one: abort this side scan
break north;
}
}
// this row contains all pixels with the same color: increment this side pixels to crop
northPixelsToCrop++;
}
}
// west side (scan columns from west to east)
colorTarget = image.getPixelColor(w, 0);
if (!ignoreSides.west) {
west: for (let x = 0; x < w - minPixelsPerSide; x++) {
for (let y = 0 + northPixelsToCrop; y < h; y++) {
const colorXY = image.getPixelColor(x, y);
const rgba2 = intToRGBA(colorXY);
if (colorDiff(rgba1, rgba2) > tolerance) {
// this pixel is too distant from the first one: abort this side scan
break west;
}
}
// this column contains all pixels with the same color: increment this side pixels to crop
westPixelsToCrop++;
}
}
// south side (scan rows from south to north)
colorTarget = image.getPixelColor(0, h);
if (!ignoreSides.south) {
south: for (let y = h - 1; y >= northPixelsToCrop + minPixelsPerSide; y--) {
for (let x = w - eastPixelsToCrop - 1; x >= 0; x--) {
const colorXY = image.getPixelColor(x, y);
const rgba2 = intToRGBA(colorXY);
if (colorDiff(rgba1, rgba2) > tolerance) {
// this pixel is too distant from the first one: abort this side scan
break south;
}
}
// this row contains all pixels with the same color: increment this side pixels to crop
southPixelsToCrop++;
}
}
// east side (scan columns from east to west)
colorTarget = image.getPixelColor(w, h);
if (!ignoreSides.east) {
east: for (let x = w - 1; x >= 0 + westPixelsToCrop + minPixelsPerSide; x--) {
for (let y = h - 1; y >= 0 + northPixelsToCrop; y--) {
const colorXY = image.getPixelColor(x, y);
const rgba2 = intToRGBA(colorXY);
if (colorDiff(rgba1, rgba2) > tolerance) {
// this pixel is too distant from the first one: abort this side scan
break east;
}
}
// this column contains all pixels with the same color: increment this side pixels to crop
eastPixelsToCrop++;
}
}
// decide if a crop is needed
let doCrop = false;
// apply leaveBorder
westPixelsToCrop -= leaveBorder;
eastPixelsToCrop -= leaveBorder;
northPixelsToCrop -= leaveBorder;
southPixelsToCrop -= leaveBorder;
if (cropSymmetric) {
const horizontal = Math.min(eastPixelsToCrop, westPixelsToCrop);
const vertical = Math.min(northPixelsToCrop, southPixelsToCrop);
westPixelsToCrop = horizontal;
eastPixelsToCrop = horizontal;
northPixelsToCrop = vertical;
southPixelsToCrop = vertical;
}
// make sure that crops are >= 0
westPixelsToCrop = westPixelsToCrop >= 0 ? westPixelsToCrop : 0;
eastPixelsToCrop = eastPixelsToCrop >= 0 ? eastPixelsToCrop : 0;
northPixelsToCrop = northPixelsToCrop >= 0 ? northPixelsToCrop : 0;
southPixelsToCrop = southPixelsToCrop >= 0 ? southPixelsToCrop : 0;
// safety checks
const widthOfRemainingPixels = w - (westPixelsToCrop + eastPixelsToCrop);
const heightOfRemainingPixels = h - (southPixelsToCrop + northPixelsToCrop);
if (cropOnlyFrames) {
// crop image if all sides should be cropped
doCrop =
eastPixelsToCrop !== 0 &&
northPixelsToCrop !== 0 &&
westPixelsToCrop !== 0 &&
southPixelsToCrop !== 0;
}
else {
// crop image if at least one side should be cropped
doCrop =
eastPixelsToCrop !== 0 ||
northPixelsToCrop !== 0 ||
westPixelsToCrop !== 0 ||
southPixelsToCrop !== 0;
}
if (doCrop) {
// do the real crop
this.crop(image, {
x: westPixelsToCrop,
y: northPixelsToCrop,
w: widthOfRemainingPixels,
h: heightOfRemainingPixels,
});
}
return image;
},
};
//# sourceMappingURL=index.js.map
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ine truncated
+3
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@@ -0,0 +1,3 @@
{
"type": "module"
}
+2
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@@ -0,0 +1,2 @@
import shared from "@jimp/config-eslint/base.js";
export default [...shared];
+68
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@@ -0,0 +1,68 @@
{
"name": "@jimp/plugin-crop",
"version": "1.6.0",
"repository": "jimp-dev/jimp",
"engines": {
"node": ">=18"
},
"scripts": {
"lint": "eslint .",
"test": "vitest",
"test:browser": "vitest --config vitest.config.browser.mjs",
"build": "tshy",
"dev": "tshy --watch",
"clean": "rm -rf node_modules .tshy .tshy-build dist .turbo"
},
"author": "Andrew Lisowski <lisowski54@gmail.com>",
"license": "MIT",
"dependencies": {
"@jimp/core": "1.6.0",
"@jimp/types": "1.6.0",
"@jimp/utils": "1.6.0",
"zod": "^3.23.8"
},
"devDependencies": {
"@jimp/config-eslint": "1.6.0",
"@jimp/config-typescript": "1.6.0",
"@jimp/config-vitest": "1.6.0",
"@jimp/test-utils": "1.6.0",
"@types/node": "^18.19.48",
"@vitest/browser": "^2.0.5",
"eslint": "^9.9.1",
"tshy": "^3.0.2",
"typescript": "^5.5.4",
"vite-plugin-node-polyfills": "^0.22.0",
"vitest": "^2.0.5"
},
"tshy": {
"exclude": [
"**/*.test.ts"
],
"exports": {
"./package.json": "./package.json",
".": "./src/index.ts"
}
},
"exports": {
"./package.json": "./package.json",
".": {
"import": {
"types": "./dist/esm/index.d.ts",
"default": "./dist/esm/index.js"
},
"require": {
"types": "./dist/commonjs/index.d.ts",
"default": "./dist/commonjs/index.js"
}
}
},
"main": "./dist/commonjs/index.js",
"types": "./dist/commonjs/index.d.ts",
"type": "module",
"publishConfig": {
"access": "public"
},
"sideEffects": false,
"module": "./dist/esm/index.js",
"gitHead": "c88abe6046dccbdb6e4f5f00c3dd403c81d83515"
}
+353
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@@ -0,0 +1,353 @@
// Vitest Snapshot v1, https://vitest.dev/guide/snapshot.html
exports[`Autocrop > ignore sides east 1`] = `
Visualization:
◆◆
◆▦▦◆
◆▦▦▦▦◆
◆▦▦◆
◆◆
Data:
00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰
00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰
FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰
00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰
00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰
`;
exports[`Autocrop > ignore sides north 1`] = `
Visualization:
◆◆
◆▦▦◆
◆▦▦▦▦◆
◆▦▦◆
◆◆
Data:
00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰
00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰
00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰
FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ
00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰
00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰
`;
exports[`Autocrop > ignore sides south and west 1`] = `
Visualization:
◆◆
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◆▦▦▦▦◆
◆▦▦◆
◆◆
Data:
00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰
00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰
00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ
00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰
00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰
00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰
`;
exports[`Autocrop > image border with small variation 1`] = `
Visualization:
323232323232
232323232323
32 ◆◆ 32
23 ◆▦▦◆ 23
32 ◆▦▦▦▦◆ 32
23 ◆▦▦◆ 23
32 ◆◆ 32
232323232323
323232323232
Data:
33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ
22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ
33-33-33ᶠᶠ 22-22-22ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ 33-33-33ᶠᶠ 22-22-22ᶠᶠ
22-22-22ᶠᶠ 33-33-33ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ 22-22-22ᶠᶠ 33-33-33ᶠᶠ
33-33-33ᶠᶠ 22-22-22ᶠᶠ 00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 33-33-33ᶠᶠ 22-22-22ᶠᶠ
22-22-22ᶠᶠ 33-33-33ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ 22-22-22ᶠᶠ 33-33-33ᶠᶠ
33-33-33ᶠᶠ 22-22-22ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ 33-33-33ᶠᶠ 22-22-22ᶠᶠ
22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ
33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ
`;
exports[`Autocrop > image border with small variation 2`] = `
Visualization:
◆◆
◆▦▦◆
◆▦▦▦▦◆
◆▦▦◆
◆◆
Data:
00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰
00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰
00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰
00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰
00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰
`;
exports[`Autocrop > image border with small variation configured by options 1`] = `
Visualization:
323232323232
232323232323
32 ◆◆ 32
23 ◆▦▦◆ 23
32 ◆▦▦▦▦◆ 32
23 ◆▦▦◆ 23
32 ◆◆ 32
232323232323
323232323232
Data:
33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ
22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ
33-33-33ᶠᶠ 22-22-22ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ 33-33-33ᶠᶠ 22-22-22ᶠᶠ
22-22-22ᶠᶠ 33-33-33ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ 22-22-22ᶠᶠ 33-33-33ᶠᶠ
33-33-33ᶠᶠ 22-22-22ᶠᶠ 00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 33-33-33ᶠᶠ 22-22-22ᶠᶠ
22-22-22ᶠᶠ 33-33-33ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ 22-22-22ᶠᶠ 33-33-33ᶠᶠ
33-33-33ᶠᶠ 22-22-22ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ 33-33-33ᶠᶠ 22-22-22ᶠᶠ
22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ
33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ
`;
exports[`Autocrop > image border with small variation configured by options 2`] = `
Visualization:
◆◆
◆▦▦◆
◆▦▦▦▦◆
◆▦▦◆
◆◆
Data:
00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰
00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰
00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰
00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰
00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰
`;
exports[`Autocrop > image not cropped given an out of bounds "leaveBorder" value 1`] = `
Visualization:
323232323232
232323232323
32 ◆◆ 32
23 ◆▦▦◆ 23
32 ◆▦▦▦▦◆ 32
23 ◆▦▦◆ 23
32 ◆◆ 32
232323232323
323232323232
Data:
33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ
22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ
33-33-33ᶠᶠ 22-22-22ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ 33-33-33ᶠᶠ 22-22-22ᶠᶠ
22-22-22ᶠᶠ 33-33-33ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ 22-22-22ᶠᶠ 33-33-33ᶠᶠ
33-33-33ᶠᶠ 22-22-22ᶠᶠ 00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 33-33-33ᶠᶠ 22-22-22ᶠᶠ
22-22-22ᶠᶠ 33-33-33ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ 22-22-22ᶠᶠ 33-33-33ᶠᶠ
33-33-33ᶠᶠ 22-22-22ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ 33-33-33ᶠᶠ 22-22-22ᶠᶠ
22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ
33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ
`;
exports[`Autocrop > image with one color border 1`] = `
Visualization:
◆◆
◆▦▦◆
◆▦▦▦▦◆
◆▦▦◆
◆◆
Data:
00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰
00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰
00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰
00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰
00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰
`;
exports[`Autocrop > image with opaque surround color 1`] = `
Visualization:
▥▥◆◆▥▥
▥◆▦▦◆▥
◆▦▦▦▦◆
▥◆▦▦◆▥
▥▥◆◆▥▥
Data:
BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ FF-FF-00ᶠᶠ FF-FF-00ᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ
BF-BF-BFᶠᶠ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ BF-BF-BFᶠᶠ
FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ
BF-BF-BFᶠᶠ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ BF-BF-BFᶠᶠ
BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ FF-FF-00ᶠᶠ FF-FF-00ᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ
`;
exports[`Autocrop > image with symmetric border configured by options 1`] = `
Visualization:
◆◆ ▥▥
◆▦▦◆ ▥▥
◆▦▦▦▦◆ ▥▥
◆▦▦◆ ▥▥
◆◆ ▥▥
▥▥▥▥▥▥▥▥▥▥
Data:
00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ
00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ
00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ
00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ
00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ
BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ
`;
exports[`Autocrop > image with top and bottom frame and leaveBorder 1`] = `
Visualization:
▥▥▥▥▥▥▥▥
▥▥▥▥▥▥▥▥
◆◆
◆▦▦◆
◆▦▦▦▦◆
◆▦▦◆
◆◆
▥▥▥▥▥▥▥▥
▥▥▥▥▥▥▥▥
Data:
BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ
BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ
00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰
00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰
00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰
00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰
00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰
BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ
BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ
`;
exports[`Autocrop > image with transparent surround color 1`] = `
Visualization:
◆◆
◆▦▦◆
◆▦▦▦▦◆
◆▦▦◆
◆◆
Data:
00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰
00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰
FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ
00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰
00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰
`;
exports[`Autocrop > image without frame 1`] = `
Visualization:
◆◆
◆▦▦◆
◆▦▦▦▦◆
◆▦▦◆
◆◆
Data:
00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰
00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰
00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰
00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰
00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰
`;
exports[`Autocrop > image without frame and with some border left 1`] = `
Visualization:
3232323232
2 ◆◆ 3
3 ◆▦▦◆ 2
2 ◆▦▦▦▦◆ 3
3 ◆▦▦◆ 2
2 ◆◆ 3
3232323232
Data:
33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ
22-22-22ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ 33-33-33ᶠᶠ
33-33-33ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ 22-22-22ᶠᶠ
22-22-22ᶠᶠ 00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 33-33-33ᶠᶠ
33-33-33ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ 22-22-22ᶠᶠ
22-22-22ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ 33-33-33ᶠᶠ
33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ 33-33-33ᶠᶠ 22-22-22ᶠᶠ
`;
exports[`Autocrop > image without frame and with symmetric border configured by options 1`] = `
Visualization:
◆◆ ▥▥
◆▦▦◆ ▥▥
◆▦▦▦▦◆ ▥▥
◆▦▦◆ ▥▥
◆◆ ▥▥
▥▥▥▥▥▥▥▥▥▥
▥▥▥▥▥▥▥▥▥▥
Data:
00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ
00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ
00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ
00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ
00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ
BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ
BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ BF-BF-BFᶠᶠ
`;
exports[`Autocrop > image without frame configured by options 1`] = `
Visualization:
◆◆
◆▦▦◆
◆▦▦▦▦◆
◆▦▦◆
◆◆
Data:
00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰
00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰
00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰
00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰
00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰ 00-00-00⁰⁰
`;
+91
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// Vitest Snapshot v1, https://vitest.dev/guide/snapshot.html
exports[`crop > full height from left 1`] = `
Visualization:
◆
◆▦
◆
Data:
00-00-00⁰⁰ 00-00-00⁰⁰
00-00-00⁰⁰ FF-FF-00ᶠᶠ
FF-FF-00ᶠᶠ 80-80-80ᶠᶠ
00-00-00⁰⁰ FF-FF-00ᶠᶠ
00-00-00⁰⁰ 00-00-00⁰⁰
`;
exports[`crop > full height from middle 1`] = `
Visualization:
◆◆
▦▦
▦▦
▦▦
◆◆
Data:
FF-FF-00ᶠᶠ FF-FF-00ᶠᶠ
80-80-80ᶠᶠ 80-80-80ᶠᶠ
80-80-80ᶠᶠ 80-80-80ᶠᶠ
80-80-80ᶠᶠ 80-80-80ᶠᶠ
FF-FF-00ᶠᶠ FF-FF-00ᶠᶠ
`;
exports[`crop > full height from right 1`] = `
Visualization:
◆
▦◆
◆
Data:
00-00-00⁰⁰ 00-00-00⁰⁰
FF-FF-00ᶠᶠ 00-00-00⁰⁰
80-80-80ᶠᶠ FF-FF-00ᶠᶠ
FF-FF-00ᶠᶠ 00-00-00⁰⁰
00-00-00⁰⁰ 00-00-00⁰⁰
`;
exports[`crop > full width from bottom 1`] = `
Visualization:
◆▦▦◆
◆◆
Data:
00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰
00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰
`;
exports[`crop > full width from middle 1`] = `
Visualization:
◆▦▦▦▦◆
◆▦▦◆
Data:
FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ
00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰
`;
exports[`crop > full width from top 1`] = `
Visualization:
◆◆
◆▦▦◆
Data:
00-00-00⁰⁰ 00-00-00⁰⁰ FF-FF-00ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰ 00-00-00⁰⁰
00-00-00⁰⁰ FF-FF-00ᶠᶠ 80-80-80ᶠᶠ 80-80-80ᶠᶠ FF-FF-00ᶠᶠ 00-00-00⁰⁰
`;
+287
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import { expect, test, describe } from "vitest";
import { methods } from "./index.js";
import { createJimp } from "@jimp/core";
import { makeTestImage } from "@jimp/test-utils";
const jimp = createJimp({ plugins: [methods] });
describe("Autocrop", () => {
test("image with transparent surround color", async () => {
const imgSrc = jimp.fromBitmap(
makeTestImage(
" ",
" ◆◆ ",
" ◆▦▦◆ ",
" ◆▦▦▦▦◆ ",
" ◆▦▦◆ ",
" ◆◆ ",
" ",
),
);
expect(imgSrc.autocrop()).toMatchSnapshot();
});
test("image with opaque surround color", async () => {
const imgSrc = jimp.fromBitmap(
makeTestImage(
"▥▥▥▥▥▥▥▥▥▥",
"▥▥▥▥◆◆▥▥▥▥",
"▥▥▥◆▦▦◆▥▥▥",
"▥▥◆▦▦▦▦◆▥▥",
"▥▥▥◆▦▦◆▥▥▥",
"▥▥▥▥◆◆▥▥▥▥",
"▥▥▥▥▥▥▥▥▥▥",
),
);
expect(imgSrc.autocrop()).toMatchSnapshot();
});
test("image with one color border", async () => {
const imgSrc = jimp.fromBitmap(
makeTestImage(
"▥▥▥▥▥▥▥▥▥▥▥▥",
"▥▥▥▥▥▥▥▥▥▥▥▥",
"▥▥ ◆◆ ▥▥",
"▥▥ ◆▦▦◆ ▥▥",
"▥▥ ◆▦▦▦▦◆ ▥▥",
"▥▥ ◆▦▦◆ ▥▥",
"▥▥ ◆◆ ▥▥",
"▥▥▥▥▥▥▥▥▥▥▥▥",
"▥▥▥▥▥▥▥▥▥▥▥▥",
),
);
expect(imgSrc.autocrop()).toMatchSnapshot();
});
test("image border with small variation", async () => {
const imgSrc = jimp.fromBitmap(
makeTestImage(
"323232323232",
"232323232323",
"32 ◆◆ 32",
"23 ◆▦▦◆ 23",
"32 ◆▦▦▦▦◆ 32",
"23 ◆▦▦◆ 23",
"32 ◆◆ 32",
"232323232323",
"323232323232",
),
);
expect(imgSrc.clone().autocrop()).toMatchSnapshot();
expect(imgSrc.clone().autocrop(0.005)).toMatchSnapshot();
});
test("image border with small variation configured by options", async () => {
const imgSrc = jimp.fromBitmap(
makeTestImage(
"323232323232",
"232323232323",
"32 ◆◆ 32",
"23 ◆▦▦◆ 23",
"32 ◆▦▦▦▦◆ 32",
"23 ◆▦▦◆ 23",
"32 ◆◆ 32",
"232323232323",
"323232323232",
),
);
expect(imgSrc.clone().autocrop()).toMatchSnapshot();
expect(imgSrc.clone().autocrop({ tolerance: 0.005 })).toMatchSnapshot();
});
test("image without frame", async () => {
const imgSrc = jimp.fromBitmap(
makeTestImage(
"▥▥ ◆◆ ",
"▥▥ ◆▦▦◆ ",
"▥▥ ◆▦▦▦▦◆ ",
"▥▥ ◆▦▦◆ ",
"▥▥ ◆◆ ",
"▥▥▥▥▥▥▥▥▥▥",
"▥▥▥▥▥▥▥▥▥▥",
),
);
expect(imgSrc.autocrop({ cropOnlyFrames: false })).toMatchSnapshot();
});
test("image without frame configured by options", async () => {
const imgSrc = jimp.fromBitmap(
makeTestImage(
"▥▥ ◆◆ ",
"▥▥ ◆▦▦◆ ",
"▥▥ ◆▦▦▦▦◆ ",
"▥▥ ◆▦▦◆ ",
"▥▥ ◆◆ ",
"▥▥▥▥▥▥▥▥▥▥",
"▥▥▥▥▥▥▥▥▥▥",
),
);
expect(imgSrc.autocrop({ cropOnlyFrames: false })).toMatchSnapshot();
});
test("image with symmetric border configured by options", async () => {
const imgSrc = jimp.fromBitmap(
makeTestImage(
"▥▥▥▥▥▥▥▥▥▥▥▥▥▥",
"▥▥ ◆◆ ▥▥▥▥",
"▥▥ ◆▦▦◆ ▥▥▥▥",
"▥▥ ◆▦▦▦▦◆ ▥▥▥▥",
"▥▥ ◆▦▦◆ ▥▥▥▥",
"▥▥ ◆◆ ▥▥▥▥",
"▥▥▥▥▥▥▥▥▥▥▥▥▥▥",
"▥▥▥▥▥▥▥▥▥▥▥▥▥▥",
),
);
expect(imgSrc.autocrop({ cropSymmetric: true })).toMatchSnapshot();
});
test("image without frame and with symmetric border configured by options", async () => {
const imgSrc = jimp.fromBitmap(
makeTestImage(
"▥▥ ◆◆ ▥▥▥▥",
"▥▥ ◆▦▦◆ ▥▥▥▥",
"▥▥ ◆▦▦▦▦◆ ▥▥▥▥",
"▥▥ ◆▦▦◆ ▥▥▥▥",
"▥▥ ◆◆ ▥▥▥▥",
"▥▥▥▥▥▥▥▥▥▥▥▥▥▥",
"▥▥▥▥▥▥▥▥▥▥▥▥▥▥",
),
);
expect(
imgSrc.autocrop({ cropSymmetric: true, cropOnlyFrames: false }),
).toMatchSnapshot();
});
test("image without frame and with some border left", async () => {
const imgSrc = jimp.fromBitmap(
makeTestImage(
"323232323232",
"232323232323",
"32 ◆◆ 32",
"23 ◆▦▦◆ 23",
"32 ◆▦▦▦▦◆ 32",
"23 ◆▦▦◆ 23",
"32 ◆◆ 32",
"232323232323",
"323232323232",
),
);
expect(
imgSrc.autocrop({
tolerance: 0.005,
leaveBorder: 1,
}),
).toMatchSnapshot();
});
test('image not cropped given an out of bounds "leaveBorder" value ', async () => {
const imgSrc = jimp.fromBitmap(
makeTestImage(
"323232323232",
"232323232323",
"32 ◆◆ 32",
"23 ◆▦▦◆ 23",
"32 ◆▦▦▦▦◆ 32",
"23 ◆▦▦◆ 23",
"32 ◆◆ 32",
"232323232323",
"323232323232",
),
);
expect(
imgSrc.autocrop({
tolerance: 0.005,
leaveBorder: 100,
}),
).toMatchSnapshot();
});
test("image with top and bottom frame and leaveBorder", async () => {
const imgSrc = jimp.fromBitmap(
makeTestImage(
"▥▥▥▥▥▥▥▥",
"▥▥▥▥▥▥▥▥",
"▥▥▥▥▥▥▥▥",
" ◆◆ ",
" ◆▦▦◆ ",
" ◆▦▦▦▦◆ ",
" ◆▦▦◆ ",
" ◆◆ ",
"▥▥▥▥▥▥▥▥",
"▥▥▥▥▥▥▥▥",
"▥▥▥▥▥▥▥▥",
),
);
expect(
imgSrc.autocrop({
cropSymmetric: true,
cropOnlyFrames: false,
leaveBorder: 2,
}),
).toMatchSnapshot();
});
test("ignore sides north", async () => {
const imgSrc = jimp.fromBitmap(
makeTestImage(
" ",
" ◆◆ ",
" ◆▦▦◆ ",
" ◆▦▦▦▦◆ ",
" ◆▦▦◆ ",
" ◆◆ ",
" ",
),
);
expect(
imgSrc.autocrop({ cropOnlyFrames: false, ignoreSides: { north: true } }),
).toMatchSnapshot();
});
test("ignore sides south and west", async () => {
const imgSrc = jimp.fromBitmap(
makeTestImage(
" ",
" ◆◆ ",
" ◆▦▦◆ ",
" ◆▦▦▦▦◆ ",
" ◆▦▦◆ ",
" ◆◆ ",
" ",
),
);
expect(
imgSrc.autocrop({
cropOnlyFrames: false,
ignoreSides: { west: true, south: true },
}),
).toMatchSnapshot();
});
test("ignore sides east", async () => {
const imgSrc = jimp.fromBitmap(
makeTestImage(
" ",
" ◆◆ ",
" ◆▦▦◆ ",
" ◆▦▦▦▦◆ ",
" ◆▦▦◆ ",
" ◆◆ ",
" ",
),
);
expect(
imgSrc.autocrop({ cropOnlyFrames: false, ignoreSides: { east: true } }),
).toMatchSnapshot();
});
});
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import { expect, test, describe } from "vitest";
import { createJimp } from "@jimp/core";
import { makeTestImage } from "@jimp/test-utils";
import { methods as crop } from "./index.js";
const jimp = createJimp({ plugins: [crop], formats: [] });
describe("crop", () => {
// 6x5 size
const testImage = makeTestImage(
" ◆◆ ",
" ◆▦▦◆ ",
"◆▦▦▦▦◆",
" ◆▦▦◆ ",
" ◆◆ ",
);
test("full width from top", () => {
expect(
jimp.fromBitmap(testImage).crop({ x: 0, y: 0, w: 6, h: 2 }),
).toMatchSnapshot();
});
test("full width from bottom", () => {
expect(
jimp.fromBitmap(testImage).crop({ x: 0, y: 3, w: 6, h: 2 }),
).toMatchSnapshot();
});
test("full width from middle", () => {
expect(
jimp.fromBitmap(testImage).crop({ x: 0, y: 2, w: 6, h: 2 }),
).toMatchSnapshot();
});
test("full height from left", () => {
expect(
jimp.fromBitmap(testImage).crop({ x: 0, y: 0, w: 2, h: 5 }),
).toMatchSnapshot();
});
test("full height from right", () => {
expect(
jimp.fromBitmap(testImage).crop({ x: 4, y: 0, w: 2, h: 5 }),
).toMatchSnapshot();
});
test("full height from middle", () => {
expect(
jimp.fromBitmap(testImage).crop({ x: 2, y: 0, w: 2, h: 5 }),
).toMatchSnapshot();
});
});
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import { JimpClass } from "@jimp/types";
import { colorDiff, intToRGBA, scan } from "@jimp/utils";
import { z } from "zod";
export const CropOptionsSchema = z.object({
/** the x position to crop form */
x: z.number(),
/** the y position to crop form */
y: z.number(),
/** the width to crop form */
w: z.number(),
/** the height to crop form */
h: z.number(),
});
export type CropOptions = z.infer<typeof CropOptionsSchema>;
const AutocropComplexOptionsSchema = z.object({
/** percent of color difference tolerance (default value) */
tolerance: z.number().min(0).max(1).optional(),
/** flag to force cropping only if the image has a real "frame" i.e. all 4 sides have some border (default value) */
cropOnlyFrames: z.boolean().optional(),
/** force cropping top be symmetric */
cropSymmetric: z.boolean().optional(),
/** Amount of pixels in border to leave */
leaveBorder: z.number().optional(),
ignoreSides: z
.object({
north: z.boolean().optional(),
south: z.boolean().optional(),
east: z.boolean().optional(),
west: z.boolean().optional(),
})
.optional(),
});
export type AutocropComplexOptions = z.infer<
typeof AutocropComplexOptionsSchema
>;
export type AutocropOptions = number | AutocropComplexOptions;
export const methods = {
/**
* Crops the image at a given point to a give size.
*
* @example
* ```ts
* import { Jimp } from "jimp";
*
* const image = await Jimp.read("test/image.png");
* const cropped = image.crop(150, 100);
* ```
*/
crop<I extends JimpClass>(image: I, options: CropOptions) {
let { x, y, w, h } = CropOptionsSchema.parse(options);
// round input
x = Math.round(x);
y = Math.round(y);
w = Math.round(w);
h = Math.round(h);
if (x === 0 && w === image.bitmap.width) {
// shortcut
const start = (w * y + x) << 2;
const end = start + ((h * w) << 2);
image.bitmap.data = image.bitmap.data.slice(start, end);
} else {
const bitmap = Buffer.allocUnsafe(w * h * 4);
let offset = 0;
scan(image, x, y, w, h, function (_, __, idx) {
const data = image.bitmap.data.readUInt32BE(idx);
bitmap.writeUInt32BE(data, offset);
offset += 4;
});
image.bitmap.data = bitmap;
}
image.bitmap.width = w;
image.bitmap.height = h;
return image;
},
/**
* Autocrop same color borders from this image.
* This function will attempt to crop out transparent pixels from the image.
*
* @example
* ```ts
* import { Jimp } from "jimp";
*
* const image = await Jimp.read("test/image.png");
* const cropped = image.autocrop();
* ```
*/
autocrop<I extends JimpClass>(image: I, options: AutocropOptions = {}) {
const {
tolerance = 0.0002,
cropOnlyFrames = true,
cropSymmetric = false,
leaveBorder = 0,
ignoreSides: ignoreSidesArg,
} = typeof options === "number"
? ({ tolerance: options } as AutocropComplexOptions)
: AutocropComplexOptionsSchema.parse(options);
const w = image.bitmap.width;
const h = image.bitmap.height;
const minPixelsPerSide = 1; // to avoid cropping completely the image, resulting in an invalid 0 sized image
// i.e. north and south / east and west are cropped by the same value
const ignoreSides = {
north: false,
south: false,
east: false,
west: false,
...ignoreSidesArg,
};
/**
* All borders must be of the same color as the top left pixel, to be cropped.
* It should be possible to crop borders each with a different color,
* but since there are many ways for corners to intersect, it would
* introduce unnecessary complexity to the algorithm.
*/
// scan each side for same color borders
let colorTarget = image.getPixelColor(0, 0); // top left pixel color is the target color
const rgba1 = intToRGBA(colorTarget);
// for north and east sides
let northPixelsToCrop = 0;
let eastPixelsToCrop = 0;
let southPixelsToCrop = 0;
let westPixelsToCrop = 0;
// north side (scan rows from north to south)
colorTarget = image.getPixelColor(0, 0);
if (!ignoreSides.north) {
north: for (let y = 0; y < h - minPixelsPerSide; y++) {
for (let x = 0; x < w; x++) {
const colorXY = image.getPixelColor(x, y);
const rgba2 = intToRGBA(colorXY);
if (colorDiff(rgba1, rgba2) > tolerance) {
// this pixel is too distant from the first one: abort this side scan
break north;
}
}
// this row contains all pixels with the same color: increment this side pixels to crop
northPixelsToCrop++;
}
}
// west side (scan columns from west to east)
colorTarget = image.getPixelColor(w, 0);
if (!ignoreSides.west) {
west: for (let x = 0; x < w - minPixelsPerSide; x++) {
for (let y = 0 + northPixelsToCrop; y < h; y++) {
const colorXY = image.getPixelColor(x, y);
const rgba2 = intToRGBA(colorXY);
if (colorDiff(rgba1, rgba2) > tolerance) {
// this pixel is too distant from the first one: abort this side scan
break west;
}
}
// this column contains all pixels with the same color: increment this side pixels to crop
westPixelsToCrop++;
}
}
// south side (scan rows from south to north)
colorTarget = image.getPixelColor(0, h);
if (!ignoreSides.south) {
south: for (
let y = h - 1;
y >= northPixelsToCrop + minPixelsPerSide;
y--
) {
for (let x = w - eastPixelsToCrop - 1; x >= 0; x--) {
const colorXY = image.getPixelColor(x, y);
const rgba2 = intToRGBA(colorXY);
if (colorDiff(rgba1, rgba2) > tolerance) {
// this pixel is too distant from the first one: abort this side scan
break south;
}
}
// this row contains all pixels with the same color: increment this side pixels to crop
southPixelsToCrop++;
}
}
// east side (scan columns from east to west)
colorTarget = image.getPixelColor(w, h);
if (!ignoreSides.east) {
east: for (
let x = w - 1;
x >= 0 + westPixelsToCrop + minPixelsPerSide;
x--
) {
for (let y = h - 1; y >= 0 + northPixelsToCrop; y--) {
const colorXY = image.getPixelColor(x, y);
const rgba2 = intToRGBA(colorXY);
if (colorDiff(rgba1, rgba2) > tolerance) {
// this pixel is too distant from the first one: abort this side scan
break east;
}
}
// this column contains all pixels with the same color: increment this side pixels to crop
eastPixelsToCrop++;
}
}
// decide if a crop is needed
let doCrop = false;
// apply leaveBorder
westPixelsToCrop -= leaveBorder;
eastPixelsToCrop -= leaveBorder;
northPixelsToCrop -= leaveBorder;
southPixelsToCrop -= leaveBorder;
if (cropSymmetric) {
const horizontal = Math.min(eastPixelsToCrop, westPixelsToCrop);
const vertical = Math.min(northPixelsToCrop, southPixelsToCrop);
westPixelsToCrop = horizontal;
eastPixelsToCrop = horizontal;
northPixelsToCrop = vertical;
southPixelsToCrop = vertical;
}
// make sure that crops are >= 0
westPixelsToCrop = westPixelsToCrop >= 0 ? westPixelsToCrop : 0;
eastPixelsToCrop = eastPixelsToCrop >= 0 ? eastPixelsToCrop : 0;
northPixelsToCrop = northPixelsToCrop >= 0 ? northPixelsToCrop : 0;
southPixelsToCrop = southPixelsToCrop >= 0 ? southPixelsToCrop : 0;
// safety checks
const widthOfRemainingPixels = w - (westPixelsToCrop + eastPixelsToCrop);
const heightOfRemainingPixels = h - (southPixelsToCrop + northPixelsToCrop);
if (cropOnlyFrames) {
// crop image if all sides should be cropped
doCrop =
eastPixelsToCrop !== 0 &&
northPixelsToCrop !== 0 &&
westPixelsToCrop !== 0 &&
southPixelsToCrop !== 0;
} else {
// crop image if at least one side should be cropped
doCrop =
eastPixelsToCrop !== 0 ||
northPixelsToCrop !== 0 ||
westPixelsToCrop !== 0 ||
southPixelsToCrop !== 0;
}
if (doCrop) {
// do the real crop
this.crop(image, {
x: westPixelsToCrop,
y: northPixelsToCrop,
w: widthOfRemainingPixels,
h: heightOfRemainingPixels,
});
}
return image;
},
};
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{
"extends": "@jimp/config-typescript/base.json",
"compilerOptions": {
"outDir": "dist"
}
}
+3
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import config from "@jimp/config-vitest/browser";
export default config;