XeNote/.yarn/unplugged/sharp-npm-0.26.2-a42331601c/node_modules/sharp/lib/constructor.js

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2021-05-17 01:16:19 +00:00
'use strict';
const util = require('util');
const stream = require('stream');
const is = require('./is');
require('./libvips').hasVendoredLibvips();
/* istanbul ignore next */
try {
require('../build/Release/sharp.node');
} catch (err) {
// Bail early if bindings aren't available
const help = ['', 'Something went wrong installing the "sharp" module', '', err.message, ''];
if (/NODE_MODULE_VERSION/.test(err.message)) {
help.push('- Ensure the version of Node.js used at install time matches that used at runtime');
} else if (/invalid ELF header/.test(err.message)) {
help.push(`- Ensure "${process.platform}" is used at install time as well as runtime`);
} else if (/dylib/.test(err.message) && /Incompatible library version/.test(err.message)) {
help.push('- Run "brew update && brew upgrade vips"');
} else if (/Cannot find module/.test(err.message)) {
help.push('- Run "npm rebuild --verbose sharp" and look for errors');
} else {
help.push(
'- Remove the "node_modules/sharp" directory then run',
' "npm install --ignore-scripts=false --verbose" and look for errors'
);
}
help.push(
'- Consult the installation documentation at https://sharp.pixelplumbing.com/install',
'- Search for this error at https://github.com/lovell/sharp/issues', ''
);
const error = help.join('\n');
throw new Error(error);
}
// Use NODE_DEBUG=sharp to enable libvips warnings
const debuglog = util.debuglog('sharp');
/**
* Constructor factory to create an instance of `sharp`, to which further methods are chained.
*
* JPEG, PNG, WebP or TIFF format image data can be streamed out from this object.
* When using Stream based output, derived attributes are available from the `info` event.
*
* Non-critical problems encountered during processing are emitted as `warning` events.
*
* Implements the [stream.Duplex](http://nodejs.org/api/stream.html#stream_class_stream_duplex) class.
*
* @constructs Sharp
*
* @emits Sharp#info
* @emits Sharp#warning
*
* @example
* sharp('input.jpg')
* .resize(300, 200)
* .toFile('output.jpg', function(err) {
* // output.jpg is a 300 pixels wide and 200 pixels high image
* // containing a scaled and cropped version of input.jpg
* });
*
* @example
* // Read image data from readableStream,
* // resize to 300 pixels wide,
* // emit an 'info' event with calculated dimensions
* // and finally write image data to writableStream
* var transformer = sharp()
* .resize(300)
* .on('info', function(info) {
* console.log('Image height is ' + info.height);
* });
* readableStream.pipe(transformer).pipe(writableStream);
*
* @example
* // Create a blank 300x200 PNG image of semi-transluent red pixels
* sharp({
* create: {
* width: 300,
* height: 200,
* channels: 4,
* background: { r: 255, g: 0, b: 0, alpha: 0.5 }
* }
* })
* .png()
* .toBuffer()
* .then( ... );
*
* @example
* // Convert an animated GIF to an animated WebP
* await sharp('in.gif', { animated: true }).toFile('out.webp');
*
* @param {(Buffer|string)} [input] - if present, can be
* a Buffer containing JPEG, PNG, WebP, GIF, SVG, TIFF or raw pixel image data, or
* a String containing the filesystem path to an JPEG, PNG, WebP, GIF, SVG or TIFF image file.
* JPEG, PNG, WebP, GIF, SVG, TIFF or raw pixel image data can be streamed into the object when not present.
* @param {Object} [options] - if present, is an Object with optional attributes.
* @param {boolean} [options.failOnError=true] - by default halt processing and raise an error when loading invalid images.
* Set this flag to `false` if you'd rather apply a "best effort" to decode images, even if the data is corrupt or invalid.
* @param {number|boolean} [options.limitInputPixels=268402689] - Do not process input images where the number of pixels
* (width x height) exceeds this limit. Assumes image dimensions contained in the input metadata can be trusted.
* An integral Number of pixels, zero or false to remove limit, true to use default limit of 268402689 (0x3FFF x 0x3FFF).
* @param {boolean} [options.sequentialRead=false] - Set this to `true` to use sequential rather than random access where possible.
* This can reduce memory usage and might improve performance on some systems.
* @param {number} [options.density=72] - number representing the DPI for vector images in the range 1 to 100000.
* @param {number} [options.pages=1] - number of pages to extract for multi-page input (GIF, TIFF, PDF), use -1 for all pages.
* @param {number} [options.page=0] - page number to start extracting from for multi-page input (GIF, TIFF, PDF), zero based.
* @param {number} [options.level=0] - level to extract from a multi-level input (OpenSlide), zero based.
* @param {boolean} [options.animated=false] - Set to `true` to read all frames/pages of an animated image (equivalent of setting `pages` to `-1`).
* @param {Object} [options.raw] - describes raw pixel input image data. See `raw()` for pixel ordering.
* @param {number} [options.raw.width]
* @param {number} [options.raw.height]
* @param {number} [options.raw.channels] - 1-4
* @param {Object} [options.create] - describes a new image to be created.
* @param {number} [options.create.width]
* @param {number} [options.create.height]
* @param {number} [options.create.channels] - 3-4
* @param {string|Object} [options.create.background] - parsed by the [color](https://www.npmjs.org/package/color) module to extract values for red, green, blue and alpha.
* @returns {Sharp}
* @throws {Error} Invalid parameters
*/
const Sharp = function (input, options) {
if (arguments.length === 1 && !is.defined(input)) {
throw new Error('Invalid input');
}
if (!(this instanceof Sharp)) {
return new Sharp(input, options);
}
stream.Duplex.call(this);
this.options = {
// resize options
topOffsetPre: -1,
leftOffsetPre: -1,
widthPre: -1,
heightPre: -1,
topOffsetPost: -1,
leftOffsetPost: -1,
widthPost: -1,
heightPost: -1,
width: -1,
height: -1,
canvas: 'crop',
position: 0,
resizeBackground: [0, 0, 0, 255],
useExifOrientation: false,
angle: 0,
rotationAngle: 0,
rotationBackground: [0, 0, 0, 255],
rotateBeforePreExtract: false,
flip: false,
flop: false,
extendTop: 0,
extendBottom: 0,
extendLeft: 0,
extendRight: 0,
extendBackground: [0, 0, 0, 255],
withoutEnlargement: false,
kernel: 'lanczos3',
fastShrinkOnLoad: true,
// operations
tintA: 128,
tintB: 128,
flatten: false,
flattenBackground: [0, 0, 0],
negate: false,
medianSize: 0,
blurSigma: 0,
sharpenSigma: 0,
sharpenFlat: 1,
sharpenJagged: 2,
threshold: 0,
thresholdGrayscale: true,
trimThreshold: 0,
gamma: 0,
gammaOut: 0,
greyscale: false,
normalise: false,
brightness: 1,
saturation: 1,
hue: 0,
booleanBufferIn: null,
booleanFileIn: '',
joinChannelIn: [],
extractChannel: -1,
removeAlpha: false,
ensureAlpha: false,
colourspace: 'srgb',
composite: [],
// output
fileOut: '',
formatOut: 'input',
streamOut: false,
withMetadata: false,
withMetadataOrientation: -1,
withMetadataIcc: '',
resolveWithObject: false,
// output format
jpegQuality: 80,
jpegProgressive: false,
jpegChromaSubsampling: '4:2:0',
jpegTrellisQuantisation: false,
jpegOvershootDeringing: false,
jpegOptimiseScans: false,
jpegOptimiseCoding: true,
jpegQuantisationTable: 0,
pngProgressive: false,
pngCompressionLevel: 9,
pngAdaptiveFiltering: false,
pngPalette: false,
pngQuality: 100,
pngColours: 256,
pngDither: 1,
webpQuality: 80,
webpAlphaQuality: 100,
webpLossless: false,
webpNearLossless: false,
webpSmartSubsample: false,
webpReductionEffort: 4,
tiffQuality: 80,
tiffCompression: 'jpeg',
tiffPredictor: 'horizontal',
tiffPyramid: false,
tiffBitdepth: 8,
tiffTile: false,
tiffTileHeight: 256,
tiffTileWidth: 256,
tiffXres: 1.0,
tiffYres: 1.0,
heifQuality: 80,
heifLossless: false,
heifCompression: 'hevc',
tileSize: 256,
tileOverlap: 0,
tileContainer: 'fs',
tileLayout: 'dz',
tileFormat: 'last',
tileDepth: 'last',
tileAngle: 0,
tileSkipBlanks: -1,
tileBackground: [255, 255, 255, 255],
tileCentre: false,
linearA: 1,
linearB: 0,
// Function to notify of libvips warnings
debuglog: warning => {
this.emit('warning', warning);
debuglog(warning);
},
// Function to notify of queue length changes
queueListener: function (queueLength) {
Sharp.queue.emit('change', queueLength);
}
};
this.options.input = this._createInputDescriptor(input, options, { allowStream: true });
return this;
};
util.inherits(Sharp, stream.Duplex);
/**
* Take a "snapshot" of the Sharp instance, returning a new instance.
* Cloned instances inherit the input of their parent instance.
* This allows multiple output Streams and therefore multiple processing pipelines to share a single input Stream.
*
* @example
* const pipeline = sharp().rotate();
* pipeline.clone().resize(800, 600).pipe(firstWritableStream);
* pipeline.clone().extract({ left: 20, top: 20, width: 100, height: 100 }).pipe(secondWritableStream);
* readableStream.pipe(pipeline);
* // firstWritableStream receives auto-rotated, resized readableStream
* // secondWritableStream receives auto-rotated, extracted region of readableStream
*
* @example
* // Create a pipeline that will download an image, resize it and format it to different files
* // Using Promises to know when the pipeline is complete
* const fs = require("fs");
* const got = require("got");
* const sharpStream = sharp({
* failOnError: false
* });
*
* const promises = [];
*
* promises.push(
* sharpStream
* .clone()
* .jpeg({ quality: 100 })
* .toFile("originalFile.jpg")
* );
*
* promises.push(
* sharpStream
* .clone()
* .resize({ width: 500 })
* .jpeg({ quality: 80 })
* .toFile("optimized-500.jpg")
* );
*
* promises.push(
* sharpStream
* .clone()
* .resize({ width: 500 })
* .webp({ quality: 80 })
* .toFile("optimized-500.webp")
* );
*
* // https://github.com/sindresorhus/got#gotstreamurl-options
* got.stream("https://www.example.com/some-file.jpg").pipe(sharpStream);
*
* Promise.all(promises)
* .then(res => { console.log("Done!", res); })
* .catch(err => {
* console.error("Error processing files, let's clean it up", err);
* try {
* fs.unlinkSync("originalFile.jpg");
* fs.unlinkSync("optimized-500.jpg");
* fs.unlinkSync("optimized-500.webp");
* } catch (e) {}
* });
*
* @returns {Sharp}
*/
function clone () {
// Clone existing options
const clone = this.constructor.call();
clone.options = Object.assign({}, this.options);
// Pass 'finish' event to clone for Stream-based input
if (this._isStreamInput()) {
this.on('finish', () => {
// Clone inherits input data
this._flattenBufferIn();
clone.options.bufferIn = this.options.bufferIn;
clone.emit('finish');
});
}
return clone;
}
Object.assign(Sharp.prototype, { clone });
/**
* Export constructor.
* @private
*/
module.exports = Sharp;