/**
* image-js - Image processing and manipulation in JavaScript
* @version v0.35.2
* @link https://github.com/image-js/image-js
* @license MIT
*/
(function (global, factory) {
typeof exports === 'object' && typeof module !== 'undefined' ? factory(exports) :
typeof define === 'function' && define.amd ? define(['exports'], factory) :
(global = typeof globalThis !== 'undefined' ? globalThis : global || self, factory(global.IJS = {}));
})(this, (function (exports) { 'use strict';
// Those methods can only be called on binary images, but we won't lose time to check.
const bitMethods = {
/**
* Get the bit of a pixel using a pixel index.
* This method can only be called on binary images.
* @memberof Image
* @instance
* @param {number} pixel - The pixel index which corresponds to `x * image.width + y`
* @return {number} 0: bit is unset, 1: bit is set
*/
getBit(pixel) {
return this.data[getSlot(pixel)] & 1 << getShift(pixel) ? 1 : 0;
},
/**
* Set the bit of a pixel using a pixel index.
* This method can only be called on binary images.
* @memberof Image
* @instance
* @param {number} pixel - The pixel index which corresponds to `x * image.width + y`
*/
setBit(pixel) {
this.data[getSlot(pixel)] |= 1 << getShift(pixel);
},
/**
* Clear the bit of a pixel using a pixel index.
* This method can only be called on binary images.
* @memberof Image
* @instance
* @param {number} pixel - The pixel index which corresponds to `x * image.width + y`
*/
clearBit(pixel) {
this.data[getSlot(pixel)] &= ~(1 << getShift(pixel));
},
/**
* Toggle (invert) the bit of a pixel using a pixel index.
* This method can only be called on binary images.
* @memberof Image
* @instance
* @param {number} pixel - The pixel index which corresponds to `x * image.width + y`
*/
toggleBit(pixel) {
this.data[getSlot(pixel)] ^= 1 << getShift(pixel);
},
/**
* Get the bit of a pixel using coordinates.
* This method can only be called on binary images.
* @memberof Image
* @instance
* @param {number} x - x coordinate (0 = left)
* @param {number} y - y coordinate (0 = top)
* @return {number} 0: bit is unset, 1: bit is set
*/
getBitXY(x, y) {
if (x >= this.width || y >= this.height) return 0;
return this.getBit(y * this.width + x);
},
/**
* Set the bit of a pixel using coordinates.
* This method can only be called on binary images.
* @memberof Image
* @instance
* @param {number} x - x coordinate (0 = left)
* @param {number} y - y coordinate (0 = top)
*/
setBitXY(x, y) {
this.setBit(y * this.width + x);
},
/**
* Clear the bit of a pixel using coordinates.
* @memberof Image
* @instance
* @param {number} x - x coordinate (0 = left)
* @param {number} y - y coordinate (0 = top)
*/
clearBitXY(x, y) {
this.clearBit(y * this.width + x);
},
/**
* Toggle (invert) the bit of a pixel using coordinates.
* @memberof Image
* @instance
* @param {number} x - x coordinate (0 = left)
* @param {number} y - y coordinate (0 = top)
*/
toggleBitXY(x, y) {
this.toggleBit(y * this.width + x);
}
};
function getSlot(pixel) {
return pixel >> 3;
}
function getShift(pixel) {
return 7 - (pixel & 0b00000111);
}
function setBitMethods(Image) {
for (const i in bitMethods) {
Image.prototype[i] = bitMethods[i];
}
}
/**
* This method checks if a process can be applied on the current image
* @memberof Image
* @instance
* @param {string} processName
* @param {object} [options]
*/
function checkProcessable(processName) {
let options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
let {
bitDepth,
alpha,
colorModel,
components,
channels
} = options;
if (typeof processName !== 'string' || processName.length === 0) {
throw new TypeError('processName must be a string');
}
if (bitDepth) {
if (!Array.isArray(bitDepth)) {
bitDepth = [bitDepth];
}
if (!bitDepth.includes(this.bitDepth)) {
throw new TypeError(`The process: ${processName} can only be applied if bit depth is in: ${bitDepth}`);
}
}
if (alpha) {
if (!Array.isArray(alpha)) {
alpha = [alpha];
}
if (!alpha.includes(this.alpha)) {
throw new TypeError(`The process: ${processName} can only be applied if alpha is in: ${alpha}`);
}
}
if (colorModel) {
if (!Array.isArray(colorModel)) {
colorModel = [colorModel];
}
if (!colorModel.includes(this.colorModel)) {
throw new TypeError(`The process: ${processName} can only be applied if color model is in: ${colorModel}`);
}
}
if (components) {
if (!Array.isArray(components)) {
components = [components];
}
if (!components.includes(this.components)) {
let errorMessage = `The process: ${processName} can only be applied if the number of components is in: ${components}`;
if (components.length === 1 && components[0] === 1) {
throw new TypeError(`${errorMessage}.\rYou should transform your image using "image.grey()" before applying the algorithm.`);
} else {
throw new TypeError(errorMessage);
}
}
}
if (channels) {
if (!Array.isArray(channels)) {
channels = [channels];
}
if (!channels.includes(this.channels)) {
throw new TypeError(`The process: ${processName} can only be applied if the number of channels is in: ${channels}`);
}
}
}
// TODO: including these in blob-util.ts causes typedoc to generate docs for them,
/* global Promise, Image, Blob, FileReader, atob, btoa,
BlobBuilder, MSBlobBuilder, MozBlobBuilder, WebKitBlobBuilder, webkitURL */
/**
* Shim for
* [`new Blob()`](https://developer.mozilla.org/en-US/docs/Web/API/Blob.Blob)
* to support
* [older browsers that use the deprecated `BlobBuilder` API](http://caniuse.com/blob).
*
* Example:
*
* ```js
* var myBlob = blobUtil.createBlob(['hello world'], {type: 'text/plain'});
* ```
*
* @param parts - content of the Blob
* @param properties - usually `{type: myContentType}`,
* you can also pass a string for the content type
* @returns Blob
*/
function createBlob(parts, properties) {
parts = parts || [];
properties = properties || {};
if (typeof properties === 'string') {
properties = {
type: properties
}; // infer content type
}
try {
return new Blob(parts, properties);
} catch (e) {
if (e.name !== 'TypeError') {
throw e;
}
var Builder = typeof BlobBuilder !== 'undefined' ? BlobBuilder : typeof MSBlobBuilder !== 'undefined' ? MSBlobBuilder : typeof MozBlobBuilder !== 'undefined' ? MozBlobBuilder : WebKitBlobBuilder;
var builder = new Builder();
for (var i = 0; i < parts.length; i += 1) {
builder.append(parts[i]);
}
return builder.getBlob(properties.type);
}
}
/**
* Convert a data URL string
* (e.g. `'data:image/png;base64,iVBORw0KG...'`)
* to a `Blob`.
*
* Example:
*
* ```js
* var blob = blobUtil.dataURLToBlob(dataURL);
* ```
*
* @param dataURL - dataURL-encoded string
* @returns Blob
*/
function dataURLToBlob(dataURL) {
var type = dataURL.match(/data:([^;]+)/)[1];
var base64 = dataURL.replace(/^[^,]+,/, '');
var buff = binaryStringToArrayBuffer(atob(base64));
return createBlob([buff], {
type: type
});
}
/**
* Convert a `canvas` to a `Blob`.
*
* Examples:
*
* ```js
* blobUtil.canvasToBlob(canvas).then(function (blob) {
* // success
* }).catch(function (err) {
* // error
* });
* ```
*
* Most browsers support converting a canvas to both `'image/png'` and `'image/jpeg'`. You may
* also want to try `'image/webp'`, which will work in some browsers like Chrome (and in other browsers, will just fall back to `'image/png'`):
*
* ```js
* blobUtil.canvasToBlob(canvas, 'image/webp').then(function (blob) {
* // success
* }).catch(function (err) {
* // error
* });
* ```
*
* @param canvas - HTMLCanvasElement
* @param type - the content type (optional, defaults to 'image/png')
* @param quality - a number between 0 and 1 indicating image quality
* if the requested type is 'image/jpeg' or 'image/webp'
* @returns Promise that resolves with the `Blob`
*/
function canvasToBlob(canvas, type, quality) {
if (typeof canvas.toBlob === 'function') {
return new Promise(function (resolve) {
canvas.toBlob(resolve, type, quality);
});
}
return Promise.resolve(dataURLToBlob(canvas.toDataURL(type, quality)));
}
/**
* Convert a binary string to an `ArrayBuffer`.
*
* ```js
* var myBuffer = blobUtil.binaryStringToArrayBuffer(binaryString)
* ```
*
* @param binary - binary string
* @returns array buffer
*/
function binaryStringToArrayBuffer(binary) {
var length = binary.length;
var buf = new ArrayBuffer(length);
var arr = new Uint8Array(buf);
var i = -1;
while (++i < length) {
arr[i] = binary.charCodeAt(i);
}
return buf;
}
var commonjsGlobal = typeof globalThis !== 'undefined' ? globalThis : typeof window !== 'undefined' ? window : typeof global !== 'undefined' ? global : typeof self !== 'undefined' ? self : {};
function getAugmentedNamespace(n) {
if (n.__esModule) return n;
var a = Object.defineProperty({}, '__esModule', {value: true});
Object.keys(n).forEach(function (k) {
var d = Object.getOwnPropertyDescriptor(n, k);
Object.defineProperty(a, k, d.get ? d : {
enumerable: true,
get: function () {
return n[k];
}
});
});
return a;
}
function commonjsRequire (path) {
throw new Error('Could not dynamically require "' + path + '". Please configure the dynamicRequireTargets or/and ignoreDynamicRequires option of @rollup/plugin-commonjs appropriately for this require call to work.');
}
var src$6 = {};
// eslint-disable-next-line import/no-unassigned-import
function decode$5(bytes) {
let encoding = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : 'utf8';
const decoder = new TextDecoder(encoding);
return decoder.decode(bytes);
}
const encoder$1 = new TextEncoder();
function encode$3(str) {
return encoder$1.encode(str);
}
const defaultByteLength$1 = 1024 * 8;
class IOBuffer$4 {
/**
* @param data - The data to construct the IOBuffer with.
* If data is a number, it will be the new buffer's length
* If data is `undefined`, the buffer will be initialized with a default length of 8Kb
* If data is an ArrayBuffer, SharedArrayBuffer, an ArrayBufferView (Typed Array), an IOBuffer instance,
* or a Node.js Buffer, a view will be created over the underlying ArrayBuffer.
* @param options
*/
constructor() {
let data = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : defaultByteLength$1;
let options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
let dataIsGiven = false;
if (typeof data === 'number') {
data = new ArrayBuffer(data);
} else {
dataIsGiven = true;
this.lastWrittenByte = data.byteLength;
}
const offset = options.offset ? options.offset >>> 0 : 0;
const byteLength = data.byteLength - offset;
let dvOffset = offset;
if (ArrayBuffer.isView(data) || data instanceof IOBuffer$4) {
if (data.byteLength !== data.buffer.byteLength) {
dvOffset = data.byteOffset + offset;
}
data = data.buffer;
}
if (dataIsGiven) {
this.lastWrittenByte = byteLength;
} else {
this.lastWrittenByte = 0;
}
this.buffer = data;
this.length = byteLength;
this.byteLength = byteLength;
this.byteOffset = dvOffset;
this.offset = 0;
this.littleEndian = true;
this._data = new DataView(this.buffer, dvOffset, byteLength);
this._mark = 0;
this._marks = [];
}
/**
* Checks if the memory allocated to the buffer is sufficient to store more
* bytes after the offset.
* @param byteLength - The needed memory in bytes.
* @returns `true` if there is sufficient space and `false` otherwise.
*/
available() {
let byteLength = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : 1;
return this.offset + byteLength <= this.length;
}
/**
* Check if little-endian mode is used for reading and writing multi-byte
* values.
* @returns `true` if little-endian mode is used, `false` otherwise.
*/
isLittleEndian() {
return this.littleEndian;
}
/**
* Set little-endian mode for reading and writing multi-byte values.
*/
setLittleEndian() {
this.littleEndian = true;
return this;
}
/**
* Check if big-endian mode is used for reading and writing multi-byte values.
* @returns `true` if big-endian mode is used, `false` otherwise.
*/
isBigEndian() {
return !this.littleEndian;
}
/**
* Switches to big-endian mode for reading and writing multi-byte values.
*/
setBigEndian() {
this.littleEndian = false;
return this;
}
/**
* Move the pointer n bytes forward.
* @param n - Number of bytes to skip.
*/
skip() {
let n = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : 1;
this.offset += n;
return this;
}
/**
* Move the pointer n bytes backward.
* @param n - Number of bytes to move back.
*/
back() {
let n = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : 1;
this.offset -= n;
return this;
}
/**
* Move the pointer to the given offset.
* @param offset
*/
seek(offset) {
this.offset = offset;
return this;
}
/**
* Store the current pointer offset.
* @see {@link IOBuffer#reset}
*/
mark() {
this._mark = this.offset;
return this;
}
/**
* Move the pointer back to the last pointer offset set by mark.
* @see {@link IOBuffer#mark}
*/
reset() {
this.offset = this._mark;
return this;
}
/**
* Push the current pointer offset to the mark stack.
* @see {@link IOBuffer#popMark}
*/
pushMark() {
this._marks.push(this.offset);
return this;
}
/**
* Pop the last pointer offset from the mark stack, and set the current
* pointer offset to the popped value.
* @see {@link IOBuffer#pushMark}
*/
popMark() {
const offset = this._marks.pop();
if (offset === undefined) {
throw new Error('Mark stack empty');
}
this.seek(offset);
return this;
}
/**
* Move the pointer offset back to 0.
*/
rewind() {
this.offset = 0;
return this;
}
/**
* Make sure the buffer has sufficient memory to write a given byteLength at
* the current pointer offset.
* If the buffer's memory is insufficient, this method will create a new
* buffer (a copy) with a length that is twice (byteLength + current offset).
* @param byteLength
*/
ensureAvailable() {
let byteLength = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : 1;
if (!this.available(byteLength)) {
const lengthNeeded = this.offset + byteLength;
const newLength = lengthNeeded * 2;
const newArray = new Uint8Array(newLength);
newArray.set(new Uint8Array(this.buffer));
this.buffer = newArray.buffer;
this.length = this.byteLength = newLength;
this._data = new DataView(this.buffer);
}
return this;
}
/**
* Read a byte and return false if the byte's value is 0, or true otherwise.
* Moves pointer forward by one byte.
*/
readBoolean() {
return this.readUint8() !== 0;
}
/**
* Read a signed 8-bit integer and move pointer forward by 1 byte.
*/
readInt8() {
return this._data.getInt8(this.offset++);
}
/**
* Read an unsigned 8-bit integer and move pointer forward by 1 byte.
*/
readUint8() {
return this._data.getUint8(this.offset++);
}
/**
* Alias for {@link IOBuffer#readUint8}.
*/
readByte() {
return this.readUint8();
}
/**
* Read `n` bytes and move pointer forward by `n` bytes.
*/
readBytes() {
let n = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : 1;
const bytes = new Uint8Array(n);
for (let i = 0; i < n; i++) {
bytes[i] = this.readByte();
}
return bytes;
}
/**
* Read a 16-bit signed integer and move pointer forward by 2 bytes.
*/
readInt16() {
const value = this._data.getInt16(this.offset, this.littleEndian);
this.offset += 2;
return value;
}
/**
* Read a 16-bit unsigned integer and move pointer forward by 2 bytes.
*/
readUint16() {
const value = this._data.getUint16(this.offset, this.littleEndian);
this.offset += 2;
return value;
}
/**
* Read a 32-bit signed integer and move pointer forward by 4 bytes.
*/
readInt32() {
const value = this._data.getInt32(this.offset, this.littleEndian);
this.offset += 4;
return value;
}
/**
* Read a 32-bit unsigned integer and move pointer forward by 4 bytes.
*/
readUint32() {
const value = this._data.getUint32(this.offset, this.littleEndian);
this.offset += 4;
return value;
}
/**
* Read a 32-bit floating number and move pointer forward by 4 bytes.
*/
readFloat32() {
const value = this._data.getFloat32(this.offset, this.littleEndian);
this.offset += 4;
return value;
}
/**
* Read a 64-bit floating number and move pointer forward by 8 bytes.
*/
readFloat64() {
const value = this._data.getFloat64(this.offset, this.littleEndian);
this.offset += 8;
return value;
}
/**
* Read a 64-bit signed integer number and move pointer forward by 8 bytes.
*/
readBigInt64() {
const value = this._data.getBigInt64(this.offset, this.littleEndian);
this.offset += 8;
return value;
}
/**
* Read a 64-bit unsigned integer number and move pointer forward by 8 bytes.
*/
readBigUint64() {
const value = this._data.getBigUint64(this.offset, this.littleEndian);
this.offset += 8;
return value;
}
/**
* Read a 1-byte ASCII character and move pointer forward by 1 byte.
*/
readChar() {
return String.fromCharCode(this.readInt8());
}
/**
* Read `n` 1-byte ASCII characters and move pointer forward by `n` bytes.
*/
readChars() {
let n = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : 1;
let result = '';
for (let i = 0; i < n; i++) {
result += this.readChar();
}
return result;
}
/**
* Read the next `n` bytes, return a UTF-8 decoded string and move pointer
* forward by `n` bytes.
*/
readUtf8() {
let n = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : 1;
return decode$5(this.readBytes(n));
}
/**
* Read the next `n` bytes, return a string decoded with `encoding` and move pointer
* forward by `n` bytes.
* If no encoding is passed, the function is equivalent to @see {@link IOBuffer#readUtf8}
*/
decodeText() {
let n = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : 1;
let encoding = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : 'utf-8';
return decode$5(this.readBytes(n), encoding);
}
/**
* Write 0xff if the passed value is truthy, 0x00 otherwise and move pointer
* forward by 1 byte.
*/
writeBoolean(value) {
this.writeUint8(value ? 0xff : 0x00);
return this;
}
/**
* Write `value` as an 8-bit signed integer and move pointer forward by 1 byte.
*/
writeInt8(value) {
this.ensureAvailable(1);
this._data.setInt8(this.offset++, value);
this._updateLastWrittenByte();
return this;
}
/**
* Write `value` as an 8-bit unsigned integer and move pointer forward by 1
* byte.
*/
writeUint8(value) {
this.ensureAvailable(1);
this._data.setUint8(this.offset++, value);
this._updateLastWrittenByte();
return this;
}
/**
* An alias for {@link IOBuffer#writeUint8}.
*/
writeByte(value) {
return this.writeUint8(value);
}
/**
* Write all elements of `bytes` as uint8 values and move pointer forward by
* `bytes.length` bytes.
*/
writeBytes(bytes) {
this.ensureAvailable(bytes.length);
for (let i = 0; i < bytes.length; i++) {
this._data.setUint8(this.offset++, bytes[i]);
}
this._updateLastWrittenByte();
return this;
}
/**
* Write `value` as a 16-bit signed integer and move pointer forward by 2
* bytes.
*/
writeInt16(value) {
this.ensureAvailable(2);
this._data.setInt16(this.offset, value, this.littleEndian);
this.offset += 2;
this._updateLastWrittenByte();
return this;
}
/**
* Write `value` as a 16-bit unsigned integer and move pointer forward by 2
* bytes.
*/
writeUint16(value) {
this.ensureAvailable(2);
this._data.setUint16(this.offset, value, this.littleEndian);
this.offset += 2;
this._updateLastWrittenByte();
return this;
}
/**
* Write `value` as a 32-bit signed integer and move pointer forward by 4
* bytes.
*/
writeInt32(value) {
this.ensureAvailable(4);
this._data.setInt32(this.offset, value, this.littleEndian);
this.offset += 4;
this._updateLastWrittenByte();
return this;
}
/**
* Write `value` as a 32-bit unsigned integer and move pointer forward by 4
* bytes.
*/
writeUint32(value) {
this.ensureAvailable(4);
this._data.setUint32(this.offset, value, this.littleEndian);
this.offset += 4;
this._updateLastWrittenByte();
return this;
}
/**
* Write `value` as a 32-bit floating number and move pointer forward by 4
* bytes.
*/
writeFloat32(value) {
this.ensureAvailable(4);
this._data.setFloat32(this.offset, value, this.littleEndian);
this.offset += 4;
this._updateLastWrittenByte();
return this;
}
/**
* Write `value` as a 64-bit floating number and move pointer forward by 8
* bytes.
*/
writeFloat64(value) {
this.ensureAvailable(8);
this._data.setFloat64(this.offset, value, this.littleEndian);
this.offset += 8;
this._updateLastWrittenByte();
return this;
}
/**
* Write `value` as a 64-bit signed bigint and move pointer forward by 8
* bytes.
*/
writeBigInt64(value) {
this.ensureAvailable(8);
this._data.setBigInt64(this.offset, value, this.littleEndian);
this.offset += 8;
this._updateLastWrittenByte();
return this;
}
/**
* Write `value` as a 64-bit unsigned bigint and move pointer forward by 8
* bytes.
*/
writeBigUint64(value) {
this.ensureAvailable(8);
this._data.setBigUint64(this.offset, value, this.littleEndian);
this.offset += 8;
this._updateLastWrittenByte();
return this;
}
/**
* Write the charCode of `str`'s first character as an 8-bit unsigned integer
* and move pointer forward by 1 byte.
*/
writeChar(str) {
return this.writeUint8(str.charCodeAt(0));
}
/**
* Write the charCodes of all `str`'s characters as 8-bit unsigned integers
* and move pointer forward by `str.length` bytes.
*/
writeChars(str) {
for (let i = 0; i < str.length; i++) {
this.writeUint8(str.charCodeAt(i));
}
return this;
}
/**
* UTF-8 encode and write `str` to the current pointer offset and move pointer
* forward according to the encoded length.
*/
writeUtf8(str) {
return this.writeBytes(encode$3(str));
}
/**
* Export a Uint8Array view of the internal buffer.
* The view starts at the byte offset and its length
* is calculated to stop at the last written byte or the original length.
*/
toArray() {
return new Uint8Array(this.buffer, this.byteOffset, this.lastWrittenByte);
}
/**
* Update the last written byte offset
* @private
*/
_updateLastWrittenByte() {
if (this.offset > this.lastWrittenByte) {
this.lastWrittenByte = this.offset;
}
}
}
var IOBuffer$5 = /*#__PURE__*/Object.freeze({
__proto__: null,
IOBuffer: IOBuffer$4
});
var require$$0$3 = /*@__PURE__*/getAugmentedNamespace(IOBuffer$5);
var constants$4 = {
BITMAPV5HEADER: {
LogicalColorSpace: {
// https://msdn.microsoft.com/en-us/library/cc250396.aspx
LCS_CALIBRATED_RGB: 0x00000000,
LCS_sRGB: 0x73524742,
// eslint-disable-line camelcase
LCS_WINDOWS_COLOR_SPACE: 0x57696e20
},
Compression: {
// https://msdn.microsoft.com/en-us/library/cc250415.aspx
BI_RGB: 0x0000,
// No compression
BI_RLE8: 0x0001,
BI_RLE4: 0x0002,
BI_BITFIELDS: 0x0003,
BI_JPEG: 0x0004,
BI_PNG: 0x0005,
BI_CMYK: 0x000b,
BI_CMYKRLE8: 0x000c,
BI_CMYKRLE4: 0x000d
},
GamutMappingIntent: {
// https://msdn.microsoft.com/en-us/library/cc250392.aspx
LCS_GM_ABS_COLORIMETRIC: 0x00000008,
LCS_GM_BUSINESS: 0x00000001,
LCS_GM_GRAPHICS: 0x00000002,
LCS_GM_IMAGES: 0x00000004
}
}
};
const {
IOBuffer: IOBuffer$3
} = require$$0$3;
const constants$3 = constants$4;
const tableLeft = [];
for (let i = 0; i <= 8; i++) {
tableLeft.push(0b11111111 << i);
}
class BMPEncoder extends IOBuffer$3 {
constructor(data) {
if (data.bitDepth !== 1) {
throw new Error('Only bitDepth of 1 is supported');
}
if (!data.height || !data.width) {
throw new Error('ImageData width and height are required');
}
super(data.data);
this.width = data.width;
this.height = data.height;
this.bitDepth = data.bitDepth;
this.channels = data.channels;
this.components = data.components;
}
encode() {
this.encoded = new IOBuffer$3();
this.encoded.skip(14);
this.writeBitmapV5Header();
this.writeColorTable();
const offset = this.encoded.offset;
this.writePixelArray();
this.encoded.rewind();
this.writeBitmapFileHeader(offset);
return this.encoded.toArray();
}
writePixelArray() {
let io = this.encoded;
const rowSize = Math.floor((this.bitDepth * this.width + 31) / 32) * 4;
const dataRowSize = Math.ceil(this.bitDepth * this.width / 8);
const skipSize = rowSize - dataRowSize;
const bitOverflow = this.bitDepth * this.width % 8;
const bitSkip = bitOverflow === 0 ? 0 : 8 - bitOverflow;
const totalBytes = rowSize * this.height;
let byteA, byteB;
let offset = 0; // Current off set in the ioData
let relOffset = 0;
let iOffset = 8;
io.mark();
byteB = this.readUint8();
for (let i = this.height - 1; i >= 0; i--) {
const lastRow = i === 0;
io.reset();
io.skip(i * rowSize);
for (let j = 0; j < dataRowSize; j++) {
const lastCol = j === dataRowSize - 1;
if (relOffset <= bitSkip && lastCol) {
// no need to read new data
io.writeByte(byteB << relOffset);
if ((bitSkip === 0 || bitSkip === relOffset) && !lastRow) {
byteA = byteB;
byteB = this.readByte();
}
} else if (relOffset === 0) {
byteA = byteB;
byteB = this.readUint8();
io.writeByte(byteA);
} else {
byteA = byteB;
byteB = this.readUint8();
io.writeByte(byteA << relOffset & tableLeft[relOffset] | byteB >> iOffset);
}
if (lastCol) {
offset += bitOverflow || 0;
io.skip(skipSize);
relOffset = offset % 8;
iOffset = 8 - relOffset;
}
}
}
if (rowSize > dataRowSize) {
// make sure last written byte is correct
io.reset();
io.skip(totalBytes - 1);
io.writeUint8(0);
}
}
writeColorTable() {
// We only handle 1-bit images
this.encoded.writeUint32(0x00000000) // black
.writeUint32(0x00ffffff); // white
}
writeBitmapFileHeader(imageOffset) {
this.encoded.writeChars('BM') // 14 bytes bitmap file header
.writeInt32(this.encoded.lastWrittenByte) // Size of BMP file in bytes
.writeUint16(0).writeUint16(0).writeUint32(imageOffset);
}
writeBitmapV5Header() {
const rowSize = Math.floor((this.bitDepth * this.width + 31) / 32) * 4;
const totalBytes = rowSize * this.height; // Size of the header
this.encoded.writeUint32(124) // Header size
.writeInt32(this.width) // bV5Width
.writeInt32(this.height) // bV5Height
.writeUint16(1) // bv5Planes - must be set to 1
.writeUint16(this.bitDepth) // bV5BitCount
.writeUint32(constants$3.BITMAPV5HEADER.Compression.BI_RGB) // bV5Compression - No compression
.writeUint32(totalBytes) // bv5SizeImage - size of pixel buffer (can be 0 if uncompressed)
.writeInt32(0) // bV5XPelsPerMeter - resolution
.writeInt32(0) // bV5YPelsPerMeter - resolution
.writeUint32(Math.pow(2, this.bitDepth)).writeUint32(Math.pow(2, this.bitDepth)).writeUint32(0xff000000) // bV5RedMask
.writeUint32(0x00ff0000) // bV5GreenMask
.writeUint32(0x0000ff00) // bV5BlueMask
.writeUint32(0x000000ff) // bV5AlphaMask
.writeUint32(constants$3.BITMAPV5HEADER.LogicalColorSpace.LCS_sRGB).skip(36) // bV5Endpoints
.skip(12) // bV5GammaRed, Green, Blue
.writeUint32(constants$3.BITMAPV5HEADER.GamutMappingIntent.LCS_GM_IMAGES).skip(12); // ProfileData, ProfileSize, Reserved
}
}
var BMPEncoder_1 = BMPEncoder;
const Encoder = BMPEncoder_1;
var encode$2 = src$6.encode = function encode(data) {
const encoder = new Encoder(data);
return encoder.encode();
};
/*! pako 2.0.4 https://github.com/nodeca/pako @license (MIT AND Zlib) */
// (C) 1995-2013 Jean-loup Gailly and Mark Adler
// (C) 2014-2017 Vitaly Puzrin and Andrey Tupitsin
//
// This software is provided 'as-is', without any express or implied
// warranty. In no event will the authors be held liable for any damages
// arising from the use of this software.
//
// Permission is granted to anyone to use this software for any purpose,
// including commercial applications, and to alter it and redistribute it
// freely, subject to the following restrictions:
//
// 1. The origin of this software must not be misrepresented; you must not
// claim that you wrote the original software. If you use this software
// in a product, an acknowledgment in the product documentation would be
// appreciated but is not required.
// 2. Altered source versions must be plainly marked as such, and must not be
// misrepresented as being the original software.
// 3. This notice may not be removed or altered from any source distribution.
/* eslint-disable space-unary-ops */
/* Public constants ==========================================================*/
/* ===========================================================================*/
//const Z_FILTERED = 1;
//const Z_HUFFMAN_ONLY = 2;
//const Z_RLE = 3;
const Z_FIXED$1 = 4; //const Z_DEFAULT_STRATEGY = 0;
/* Possible values of the data_type field (though see inflate()) */
const Z_BINARY = 0;
const Z_TEXT = 1; //const Z_ASCII = 1; // = Z_TEXT
const Z_UNKNOWN$1 = 2;
/*============================================================================*/
function zero$1(buf) {
let len = buf.length;
while (--len >= 0) {
buf[len] = 0;
}
} // From zutil.h
const STORED_BLOCK = 0;
const STATIC_TREES = 1;
const DYN_TREES = 2;
/* The three kinds of block type */
const MIN_MATCH$1 = 3;
const MAX_MATCH$1 = 258;
/* The minimum and maximum match lengths */
// From deflate.h
/* ===========================================================================
* Internal compression state.
*/
const LENGTH_CODES$1 = 29;
/* number of length codes, not counting the special END_BLOCK code */
const LITERALS$1 = 256;
/* number of literal bytes 0..255 */
const L_CODES$1 = LITERALS$1 + 1 + LENGTH_CODES$1;
/* number of Literal or Length codes, including the END_BLOCK code */
const D_CODES$1 = 30;
/* number of distance codes */
const BL_CODES$1 = 19;
/* number of codes used to transfer the bit lengths */
const HEAP_SIZE$1 = 2 * L_CODES$1 + 1;
/* maximum heap size */
const MAX_BITS$1 = 15;
/* All codes must not exceed MAX_BITS bits */
const Buf_size = 16;
/* size of bit buffer in bi_buf */
/* ===========================================================================
* Constants
*/
const MAX_BL_BITS = 7;
/* Bit length codes must not exceed MAX_BL_BITS bits */
const END_BLOCK = 256;
/* end of block literal code */
const REP_3_6 = 16;
/* repeat previous bit length 3-6 times (2 bits of repeat count) */
const REPZ_3_10 = 17;
/* repeat a zero length 3-10 times (3 bits of repeat count) */
const REPZ_11_138 = 18;
/* repeat a zero length 11-138 times (7 bits of repeat count) */
/* eslint-disable comma-spacing,array-bracket-spacing */
const extra_lbits =
/* extra bits for each length code */
new Uint8Array([0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 3, 4, 4, 4, 4, 5, 5, 5, 5, 0]);
const extra_dbits =
/* extra bits for each distance code */
new Uint8Array([0, 0, 0, 0, 1, 1, 2, 2, 3, 3, 4, 4, 5, 5, 6, 6, 7, 7, 8, 8, 9, 9, 10, 10, 11, 11, 12, 12, 13, 13]);
const extra_blbits =
/* extra bits for each bit length code */
new Uint8Array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 3, 7]);
const bl_order = new Uint8Array([16, 17, 18, 0, 8, 7, 9, 6, 10, 5, 11, 4, 12, 3, 13, 2, 14, 1, 15]);
/* eslint-enable comma-spacing,array-bracket-spacing */
/* The lengths of the bit length codes are sent in order of decreasing
* probability, to avoid transmitting the lengths for unused bit length codes.
*/
/* ===========================================================================
* Local data. These are initialized only once.
*/
// We pre-fill arrays with 0 to avoid uninitialized gaps
const DIST_CODE_LEN = 512;
/* see definition of array dist_code below */
// !!!! Use flat array instead of structure, Freq = i*2, Len = i*2+1
const static_ltree = new Array((L_CODES$1 + 2) * 2);
zero$1(static_ltree);
/* The static literal tree. Since the bit lengths are imposed, there is no
* need for the L_CODES extra codes used during heap construction. However
* The codes 286 and 287 are needed to build a canonical tree (see _tr_init
* below).
*/
const static_dtree = new Array(D_CODES$1 * 2);
zero$1(static_dtree);
/* The static distance tree. (Actually a trivial tree since all codes use
* 5 bits.)
*/
const _dist_code = new Array(DIST_CODE_LEN);
zero$1(_dist_code);
/* Distance codes. The first 256 values correspond to the distances
* 3 .. 258, the last 256 values correspond to the top 8 bits of
* the 15 bit distances.
*/
const _length_code = new Array(MAX_MATCH$1 - MIN_MATCH$1 + 1);
zero$1(_length_code);
/* length code for each normalized match length (0 == MIN_MATCH) */
const base_length = new Array(LENGTH_CODES$1);
zero$1(base_length);
/* First normalized length for each code (0 = MIN_MATCH) */
const base_dist = new Array(D_CODES$1);
zero$1(base_dist);
/* First normalized distance for each code (0 = distance of 1) */
function StaticTreeDesc(static_tree, extra_bits, extra_base, elems, max_length) {
this.static_tree = static_tree;
/* static tree or NULL */
this.extra_bits = extra_bits;
/* extra bits for each code or NULL */
this.extra_base = extra_base;
/* base index for extra_bits */
this.elems = elems;
/* max number of elements in the tree */
this.max_length = max_length;
/* max bit length for the codes */
// show if `static_tree` has data or dummy - needed for monomorphic objects
this.has_stree = static_tree && static_tree.length;
}
let static_l_desc;
let static_d_desc;
let static_bl_desc;
function TreeDesc(dyn_tree, stat_desc) {
this.dyn_tree = dyn_tree;
/* the dynamic tree */
this.max_code = 0;
/* largest code with non zero frequency */
this.stat_desc = stat_desc;
/* the corresponding static tree */
}
const d_code = dist => {
return dist < 256 ? _dist_code[dist] : _dist_code[256 + (dist >>> 7)];
};
/* ===========================================================================
* Output a short LSB first on the stream.
* IN assertion: there is enough room in pendingBuf.
*/
const put_short = (s, w) => {
// put_byte(s, (uch)((w) & 0xff));
// put_byte(s, (uch)((ush)(w) >> 8));
s.pending_buf[s.pending++] = w & 0xff;
s.pending_buf[s.pending++] = w >>> 8 & 0xff;
};
/* ===========================================================================
* Send a value on a given number of bits.
* IN assertion: length <= 16 and value fits in length bits.
*/
const send_bits = (s, value, length) => {
if (s.bi_valid > Buf_size - length) {
s.bi_buf |= value << s.bi_valid & 0xffff;
put_short(s, s.bi_buf);
s.bi_buf = value >> Buf_size - s.bi_valid;
s.bi_valid += length - Buf_size;
} else {
s.bi_buf |= value << s.bi_valid & 0xffff;
s.bi_valid += length;
}
};
const send_code = (s, c, tree) => {
send_bits(s, tree[c * 2]
/*.Code*/
, tree[c * 2 + 1]
/*.Len*/
);
};
/* ===========================================================================
* Reverse the first len bits of a code, using straightforward code (a faster
* method would use a table)
* IN assertion: 1 <= len <= 15
*/
const bi_reverse = (code, len) => {
let res = 0;
do {
res |= code & 1;
code >>>= 1;
res <<= 1;
} while (--len > 0);
return res >>> 1;
};
/* ===========================================================================
* Flush the bit buffer, keeping at most 7 bits in it.
*/
const bi_flush = s => {
if (s.bi_valid === 16) {
put_short(s, s.bi_buf);
s.bi_buf = 0;
s.bi_valid = 0;
} else if (s.bi_valid >= 8) {
s.pending_buf[s.pending++] = s.bi_buf & 0xff;
s.bi_buf >>= 8;
s.bi_valid -= 8;
}
};
/* ===========================================================================
* Compute the optimal bit lengths for a tree and update the total bit length
* for the current block.
* IN assertion: the fields freq and dad are set, heap[heap_max] and
* above are the tree nodes sorted by increasing frequency.
* OUT assertions: the field len is set to the optimal bit length, the
* array bl_count contains the frequencies for each bit length.
* The length opt_len is updated; static_len is also updated if stree is
* not null.
*/
const gen_bitlen = (s, desc) => // deflate_state *s;
// tree_desc *desc; /* the tree descriptor */
{
const tree = desc.dyn_tree;
const max_code = desc.max_code;
const stree = desc.stat_desc.static_tree;
const has_stree = desc.stat_desc.has_stree;
const extra = desc.stat_desc.extra_bits;
const base = desc.stat_desc.extra_base;
const max_length = desc.stat_desc.max_length;
let h;
/* heap index */
let n, m;
/* iterate over the tree elements */
let bits;
/* bit length */
let xbits;
/* extra bits */
let f;
/* frequency */
let overflow = 0;
/* number of elements with bit length too large */
for (bits = 0; bits <= MAX_BITS$1; bits++) {
s.bl_count[bits] = 0;
}
/* In a first pass, compute the optimal bit lengths (which may
* overflow in the case of the bit length tree).
*/
tree[s.heap[s.heap_max] * 2 + 1]
/*.Len*/
= 0;
/* root of the heap */
for (h = s.heap_max + 1; h < HEAP_SIZE$1; h++) {
n = s.heap[h];
bits = tree[tree[n * 2 + 1]
/*.Dad*/
* 2 + 1]
/*.Len*/
+ 1;
if (bits > max_length) {
bits = max_length;
overflow++;
}
tree[n * 2 + 1]
/*.Len*/
= bits;
/* We overwrite tree[n].Dad which is no longer needed */
if (n > max_code) {
continue;
}
/* not a leaf node */
s.bl_count[bits]++;
xbits = 0;
if (n >= base) {
xbits = extra[n - base];
}
f = tree[n * 2]
/*.Freq*/
;
s.opt_len += f * (bits + xbits);
if (has_stree) {
s.static_len += f * (stree[n * 2 + 1]
/*.Len*/
+ xbits);
}
}
if (overflow === 0) {
return;
} // Trace((stderr,"\nbit length overflow\n"));
/* This happens for example on obj2 and pic of the Calgary corpus */
/* Find the first bit length which could increase: */
do {
bits = max_length - 1;
while (s.bl_count[bits] === 0) {
bits--;
}
s.bl_count[bits]--;
/* move one leaf down the tree */
s.bl_count[bits + 1] += 2;
/* move one overflow item as its brother */
s.bl_count[max_length]--;
/* The brother of the overflow item also moves one step up,
* but this does not affect bl_count[max_length]
*/
overflow -= 2;
} while (overflow > 0);
/* Now recompute all bit lengths, scanning in increasing frequency.
* h is still equal to HEAP_SIZE. (It is simpler to reconstruct all
* lengths instead of fixing only the wrong ones. This idea is taken
* from 'ar' written by Haruhiko Okumura.)
*/
for (bits = max_length; bits !== 0; bits--) {
n = s.bl_count[bits];
while (n !== 0) {
m = s.heap[--h];
if (m > max_code) {
continue;
}
if (tree[m * 2 + 1]
/*.Len*/
!== bits) {
// Trace((stderr,"code %d bits %d->%d\n", m, tree[m].Len, bits));
s.opt_len += (bits - tree[m * 2 + 1]
/*.Len*/
) * tree[m * 2]
/*.Freq*/
;
tree[m * 2 + 1]
/*.Len*/
= bits;
}
n--;
}
}
};
/* ===========================================================================
* Generate the codes for a given tree and bit counts (which need not be
* optimal).
* IN assertion: the array bl_count contains the bit length statistics for
* the given tree and the field len is set for all tree elements.
* OUT assertion: the field code is set for all tree elements of non
* zero code length.
*/
const gen_codes = (tree, max_code, bl_count) => // ct_data *tree; /* the tree to decorate */
// int max_code; /* largest code with non zero frequency */
// ushf *bl_count; /* number of codes at each bit length */
{
const next_code = new Array(MAX_BITS$1 + 1);
/* next code value for each bit length */
let code = 0;
/* running code value */
let bits;
/* bit index */
let n;
/* code index */
/* The distribution counts are first used to generate the code values
* without bit reversal.
*/
for (bits = 1; bits <= MAX_BITS$1; bits++) {
next_code[bits] = code = code + bl_count[bits - 1] << 1;
}
/* Check that the bit counts in bl_count are consistent. The last code
* must be all ones.
*/
//Assert (code + bl_count[MAX_BITS]-1 == (1< {
let n;
/* iterates over tree elements */
let bits;
/* bit counter */
let length;
/* length value */
let code;
/* code value */
let dist;
/* distance index */
const bl_count = new Array(MAX_BITS$1 + 1);
/* number of codes at each bit length for an optimal tree */
// do check in _tr_init()
//if (static_init_done) return;
/* For some embedded targets, global variables are not initialized: */
/*#ifdef NO_INIT_GLOBAL_POINTERS
static_l_desc.static_tree = static_ltree;
static_l_desc.extra_bits = extra_lbits;
static_d_desc.static_tree = static_dtree;
static_d_desc.extra_bits = extra_dbits;
static_bl_desc.extra_bits = extra_blbits;
#endif*/
/* Initialize the mapping length (0..255) -> length code (0..28) */
length = 0;
for (code = 0; code < LENGTH_CODES$1 - 1; code++) {
base_length[code] = length;
for (n = 0; n < 1 << extra_lbits[code]; n++) {
_length_code[length++] = code;
}
} //Assert (length == 256, "tr_static_init: length != 256");
/* Note that the length 255 (match length 258) can be represented
* in two different ways: code 284 + 5 bits or code 285, so we
* overwrite length_code[255] to use the best encoding:
*/
_length_code[length - 1] = code;
/* Initialize the mapping dist (0..32K) -> dist code (0..29) */
dist = 0;
for (code = 0; code < 16; code++) {
base_dist[code] = dist;
for (n = 0; n < 1 << extra_dbits[code]; n++) {
_dist_code[dist++] = code;
}
} //Assert (dist == 256, "tr_static_init: dist != 256");
dist >>= 7;
/* from now on, all distances are divided by 128 */
for (; code < D_CODES$1; code++) {
base_dist[code] = dist << 7;
for (n = 0; n < 1 << extra_dbits[code] - 7; n++) {
_dist_code[256 + dist++] = code;
}
} //Assert (dist == 256, "tr_static_init: 256+dist != 512");
/* Construct the codes of the static literal tree */
for (bits = 0; bits <= MAX_BITS$1; bits++) {
bl_count[bits] = 0;
}
n = 0;
while (n <= 143) {
static_ltree[n * 2 + 1]
/*.Len*/
= 8;
n++;
bl_count[8]++;
}
while (n <= 255) {
static_ltree[n * 2 + 1]
/*.Len*/
= 9;
n++;
bl_count[9]++;
}
while (n <= 279) {
static_ltree[n * 2 + 1]
/*.Len*/
= 7;
n++;
bl_count[7]++;
}
while (n <= 287) {
static_ltree[n * 2 + 1]
/*.Len*/
= 8;
n++;
bl_count[8]++;
}
/* Codes 286 and 287 do not exist, but we must include them in the
* tree construction to get a canonical Huffman tree (longest code
* all ones)
*/
gen_codes(static_ltree, L_CODES$1 + 1, bl_count);
/* The static distance tree is trivial: */
for (n = 0; n < D_CODES$1; n++) {
static_dtree[n * 2 + 1]
/*.Len*/
= 5;
static_dtree[n * 2]
/*.Code*/
= bi_reverse(n, 5);
} // Now data ready and we can init static trees
static_l_desc = new StaticTreeDesc(static_ltree, extra_lbits, LITERALS$1 + 1, L_CODES$1, MAX_BITS$1);
static_d_desc = new StaticTreeDesc(static_dtree, extra_dbits, 0, D_CODES$1, MAX_BITS$1);
static_bl_desc = new StaticTreeDesc(new Array(0), extra_blbits, 0, BL_CODES$1, MAX_BL_BITS); //static_init_done = true;
};
/* ===========================================================================
* Initialize a new block.
*/
const init_block = s => {
let n;
/* iterates over tree elements */
/* Initialize the trees. */
for (n = 0; n < L_CODES$1; n++) {
s.dyn_ltree[n * 2]
/*.Freq*/
= 0;
}
for (n = 0; n < D_CODES$1; n++) {
s.dyn_dtree[n * 2]
/*.Freq*/
= 0;
}
for (n = 0; n < BL_CODES$1; n++) {
s.bl_tree[n * 2]
/*.Freq*/
= 0;
}
s.dyn_ltree[END_BLOCK * 2]
/*.Freq*/
= 1;
s.opt_len = s.static_len = 0;
s.last_lit = s.matches = 0;
};
/* ===========================================================================
* Flush the bit buffer and align the output on a byte boundary
*/
const bi_windup = s => {
if (s.bi_valid > 8) {
put_short(s, s.bi_buf);
} else if (s.bi_valid > 0) {
//put_byte(s, (Byte)s->bi_buf);
s.pending_buf[s.pending++] = s.bi_buf;
}
s.bi_buf = 0;
s.bi_valid = 0;
};
/* ===========================================================================
* Copy a stored block, storing first the length and its
* one's complement if requested.
*/
const copy_block = (s, buf, len, header) => //DeflateState *s;
//charf *buf; /* the input data */
//unsigned len; /* its length */
//int header; /* true if block header must be written */
{
bi_windup(s);
/* align on byte boundary */
if (header) {
put_short(s, len);
put_short(s, ~len);
} // while (len--) {
// put_byte(s, *buf++);
// }
s.pending_buf.set(s.window.subarray(buf, buf + len), s.pending);
s.pending += len;
};
/* ===========================================================================
* Compares to subtrees, using the tree depth as tie breaker when
* the subtrees have equal frequency. This minimizes the worst case length.
*/
const smaller = (tree, n, m, depth) => {
const _n2 = n * 2;
const _m2 = m * 2;
return tree[_n2]
/*.Freq*/
< tree[_m2]
/*.Freq*/
|| tree[_n2]
/*.Freq*/
=== tree[_m2]
/*.Freq*/
&& depth[n] <= depth[m];
};
/* ===========================================================================
* Restore the heap property by moving down the tree starting at node k,
* exchanging a node with the smallest of its two sons if necessary, stopping
* when the heap property is re-established (each father smaller than its
* two sons).
*/
const pqdownheap = (s, tree, k) => // deflate_state *s;
// ct_data *tree; /* the tree to restore */
// int k; /* node to move down */
{
const v = s.heap[k];
let j = k << 1;
/* left son of k */
while (j <= s.heap_len) {
/* Set j to the smallest of the two sons: */
if (j < s.heap_len && smaller(tree, s.heap[j + 1], s.heap[j], s.depth)) {
j++;
}
/* Exit if v is smaller than both sons */
if (smaller(tree, v, s.heap[j], s.depth)) {
break;
}
/* Exchange v with the smallest son */
s.heap[k] = s.heap[j];
k = j;
/* And continue down the tree, setting j to the left son of k */
j <<= 1;
}
s.heap[k] = v;
}; // inlined manually
// const SMALLEST = 1;
/* ===========================================================================
* Send the block data compressed using the given Huffman trees
*/
const compress_block = (s, ltree, dtree) => // deflate_state *s;
// const ct_data *ltree; /* literal tree */
// const ct_data *dtree; /* distance tree */
{
let dist;
/* distance of matched string */
let lc;
/* match length or unmatched char (if dist == 0) */
let lx = 0;
/* running index in l_buf */
let code;
/* the code to send */
let extra;
/* number of extra bits to send */
if (s.last_lit !== 0) {
do {
dist = s.pending_buf[s.d_buf + lx * 2] << 8 | s.pending_buf[s.d_buf + lx * 2 + 1];
lc = s.pending_buf[s.l_buf + lx];
lx++;
if (dist === 0) {
send_code(s, lc, ltree);
/* send a literal byte */
//Tracecv(isgraph(lc), (stderr," '%c' ", lc));
} else {
/* Here, lc is the match length - MIN_MATCH */
code = _length_code[lc];
send_code(s, code + LITERALS$1 + 1, ltree);
/* send the length code */
extra = extra_lbits[code];
if (extra !== 0) {
lc -= base_length[code];
send_bits(s, lc, extra);
/* send the extra length bits */
}
dist--;
/* dist is now the match distance - 1 */
code = d_code(dist); //Assert (code < D_CODES, "bad d_code");
send_code(s, code, dtree);
/* send the distance code */
extra = extra_dbits[code];
if (extra !== 0) {
dist -= base_dist[code];
send_bits(s, dist, extra);
/* send the extra distance bits */
}
}
/* literal or match pair ? */
/* Check that the overlay between pending_buf and d_buf+l_buf is ok: */
//Assert((uInt)(s->pending) < s->lit_bufsize + 2*lx,
// "pendingBuf overflow");
} while (lx < s.last_lit);
}
send_code(s, END_BLOCK, ltree);
};
/* ===========================================================================
* Construct one Huffman tree and assigns the code bit strings and lengths.
* Update the total bit length for the current block.
* IN assertion: the field freq is set for all tree elements.
* OUT assertions: the fields len and code are set to the optimal bit length
* and corresponding code. The length opt_len is updated; static_len is
* also updated if stree is not null. The field max_code is set.
*/
const build_tree = (s, desc) => // deflate_state *s;
// tree_desc *desc; /* the tree descriptor */
{
const tree = desc.dyn_tree;
const stree = desc.stat_desc.static_tree;
const has_stree = desc.stat_desc.has_stree;
const elems = desc.stat_desc.elems;
let n, m;
/* iterate over heap elements */
let max_code = -1;
/* largest code with non zero frequency */
let node;
/* new node being created */
/* Construct the initial heap, with least frequent element in
* heap[SMALLEST]. The sons of heap[n] are heap[2*n] and heap[2*n+1].
* heap[0] is not used.
*/
s.heap_len = 0;
s.heap_max = HEAP_SIZE$1;
for (n = 0; n < elems; n++) {
if (tree[n * 2]
/*.Freq*/
!== 0) {
s.heap[++s.heap_len] = max_code = n;
s.depth[n] = 0;
} else {
tree[n * 2 + 1]
/*.Len*/
= 0;
}
}
/* The pkzip format requires that at least one distance code exists,
* and that at least one bit should be sent even if there is only one
* possible code. So to avoid special checks later on we force at least
* two codes of non zero frequency.
*/
while (s.heap_len < 2) {
node = s.heap[++s.heap_len] = max_code < 2 ? ++max_code : 0;
tree[node * 2]
/*.Freq*/
= 1;
s.depth[node] = 0;
s.opt_len--;
if (has_stree) {
s.static_len -= stree[node * 2 + 1]
/*.Len*/
;
}
/* node is 0 or 1 so it does not have extra bits */
}
desc.max_code = max_code;
/* The elements heap[heap_len/2+1 .. heap_len] are leaves of the tree,
* establish sub-heaps of increasing lengths:
*/
for (n = s.heap_len >> 1
/*int /2*/
; n >= 1; n--) {
pqdownheap(s, tree, n);
}
/* Construct the Huffman tree by repeatedly combining the least two
* frequent nodes.
*/
node = elems;
/* next internal node of the tree */
do {
//pqremove(s, tree, n); /* n = node of least frequency */
/*** pqremove ***/
n = s.heap[1
/*SMALLEST*/
];
s.heap[1
/*SMALLEST*/
] = s.heap[s.heap_len--];
pqdownheap(s, tree, 1
/*SMALLEST*/
);
/***/
m = s.heap[1
/*SMALLEST*/
];
/* m = node of next least frequency */
s.heap[--s.heap_max] = n;
/* keep the nodes sorted by frequency */
s.heap[--s.heap_max] = m;
/* Create a new node father of n and m */
tree[node * 2]
/*.Freq*/
= tree[n * 2]
/*.Freq*/
+ tree[m * 2]
/*.Freq*/
;
s.depth[node] = (s.depth[n] >= s.depth[m] ? s.depth[n] : s.depth[m]) + 1;
tree[n * 2 + 1]
/*.Dad*/
= tree[m * 2 + 1]
/*.Dad*/
= node;
/* and insert the new node in the heap */
s.heap[1
/*SMALLEST*/
] = node++;
pqdownheap(s, tree, 1
/*SMALLEST*/
);
} while (s.heap_len >= 2);
s.heap[--s.heap_max] = s.heap[1
/*SMALLEST*/
];
/* At this point, the fields freq and dad are set. We can now
* generate the bit lengths.
*/
gen_bitlen(s, desc);
/* The field len is now set, we can generate the bit codes */
gen_codes(tree, max_code, s.bl_count);
};
/* ===========================================================================
* Scan a literal or distance tree to determine the frequencies of the codes
* in the bit length tree.
*/
const scan_tree = (s, tree, max_code) => // deflate_state *s;
// ct_data *tree; /* the tree to be scanned */
// int max_code; /* and its largest code of non zero frequency */
{
let n;
/* iterates over all tree elements */
let prevlen = -1;
/* last emitted length */
let curlen;
/* length of current code */
let nextlen = tree[0 * 2 + 1]
/*.Len*/
;
/* length of next code */
let count = 0;
/* repeat count of the current code */
let max_count = 7;
/* max repeat count */
let min_count = 4;
/* min repeat count */
if (nextlen === 0) {
max_count = 138;
min_count = 3;
}
tree[(max_code + 1) * 2 + 1]
/*.Len*/
= 0xffff;
/* guard */
for (n = 0; n <= max_code; n++) {
curlen = nextlen;
nextlen = tree[(n + 1) * 2 + 1]
/*.Len*/
;
if (++count < max_count && curlen === nextlen) {
continue;
} else if (count < min_count) {
s.bl_tree[curlen * 2]
/*.Freq*/
+= count;
} else if (curlen !== 0) {
if (curlen !== prevlen) {
s.bl_tree[curlen * 2] /*.Freq*/++;
}
s.bl_tree[REP_3_6 * 2] /*.Freq*/++;
} else if (count <= 10) {
s.bl_tree[REPZ_3_10 * 2] /*.Freq*/++;
} else {
s.bl_tree[REPZ_11_138 * 2] /*.Freq*/++;
}
count = 0;
prevlen = curlen;
if (nextlen === 0) {
max_count = 138;
min_count = 3;
} else if (curlen === nextlen) {
max_count = 6;
min_count = 3;
} else {
max_count = 7;
min_count = 4;
}
}
};
/* ===========================================================================
* Send a literal or distance tree in compressed form, using the codes in
* bl_tree.
*/
const send_tree = (s, tree, max_code) => // deflate_state *s;
// ct_data *tree; /* the tree to be scanned */
// int max_code; /* and its largest code of non zero frequency */
{
let n;
/* iterates over all tree elements */
let prevlen = -1;
/* last emitted length */
let curlen;
/* length of current code */
let nextlen = tree[0 * 2 + 1]
/*.Len*/
;
/* length of next code */
let count = 0;
/* repeat count of the current code */
let max_count = 7;
/* max repeat count */
let min_count = 4;
/* min repeat count */
/* tree[max_code+1].Len = -1; */
/* guard already set */
if (nextlen === 0) {
max_count = 138;
min_count = 3;
}
for (n = 0; n <= max_code; n++) {
curlen = nextlen;
nextlen = tree[(n + 1) * 2 + 1]
/*.Len*/
;
if (++count < max_count && curlen === nextlen) {
continue;
} else if (count < min_count) {
do {
send_code(s, curlen, s.bl_tree);
} while (--count !== 0);
} else if (curlen !== 0) {
if (curlen !== prevlen) {
send_code(s, curlen, s.bl_tree);
count--;
} //Assert(count >= 3 && count <= 6, " 3_6?");
send_code(s, REP_3_6, s.bl_tree);
send_bits(s, count - 3, 2);
} else if (count <= 10) {
send_code(s, REPZ_3_10, s.bl_tree);
send_bits(s, count - 3, 3);
} else {
send_code(s, REPZ_11_138, s.bl_tree);
send_bits(s, count - 11, 7);
}
count = 0;
prevlen = curlen;
if (nextlen === 0) {
max_count = 138;
min_count = 3;
} else if (curlen === nextlen) {
max_count = 6;
min_count = 3;
} else {
max_count = 7;
min_count = 4;
}
}
};
/* ===========================================================================
* Construct the Huffman tree for the bit lengths and return the index in
* bl_order of the last bit length code to send.
*/
const build_bl_tree = s => {
let max_blindex;
/* index of last bit length code of non zero freq */
/* Determine the bit length frequencies for literal and distance trees */
scan_tree(s, s.dyn_ltree, s.l_desc.max_code);
scan_tree(s, s.dyn_dtree, s.d_desc.max_code);
/* Build the bit length tree: */
build_tree(s, s.bl_desc);
/* opt_len now includes the length of the tree representations, except
* the lengths of the bit lengths codes and the 5+5+4 bits for the counts.
*/
/* Determine the number of bit length codes to send. The pkzip format
* requires that at least 4 bit length codes be sent. (appnote.txt says
* 3 but the actual value used is 4.)
*/
for (max_blindex = BL_CODES$1 - 1; max_blindex >= 3; max_blindex--) {
if (s.bl_tree[bl_order[max_blindex] * 2 + 1]
/*.Len*/
!== 0) {
break;
}
}
/* Update opt_len to include the bit length tree and counts */
s.opt_len += 3 * (max_blindex + 1) + 5 + 5 + 4; //Tracev((stderr, "\ndyn trees: dyn %ld, stat %ld",
// s->opt_len, s->static_len));
return max_blindex;
};
/* ===========================================================================
* Send the header for a block using dynamic Huffman trees: the counts, the
* lengths of the bit length codes, the literal tree and the distance tree.
* IN assertion: lcodes >= 257, dcodes >= 1, blcodes >= 4.
*/
const send_all_trees = (s, lcodes, dcodes, blcodes) => // deflate_state *s;
// int lcodes, dcodes, blcodes; /* number of codes for each tree */
{
let rank;
/* index in bl_order */
//Assert (lcodes >= 257 && dcodes >= 1 && blcodes >= 4, "not enough codes");
//Assert (lcodes <= L_CODES && dcodes <= D_CODES && blcodes <= BL_CODES,
// "too many codes");
//Tracev((stderr, "\nbl counts: "));
send_bits(s, lcodes - 257, 5);
/* not +255 as stated in appnote.txt */
send_bits(s, dcodes - 1, 5);
send_bits(s, blcodes - 4, 4);
/* not -3 as stated in appnote.txt */
for (rank = 0; rank < blcodes; rank++) {
//Tracev((stderr, "\nbl code %2d ", bl_order[rank]));
send_bits(s, s.bl_tree[bl_order[rank] * 2 + 1]
/*.Len*/
, 3);
} //Tracev((stderr, "\nbl tree: sent %ld", s->bits_sent));
send_tree(s, s.dyn_ltree, lcodes - 1);
/* literal tree */
//Tracev((stderr, "\nlit tree: sent %ld", s->bits_sent));
send_tree(s, s.dyn_dtree, dcodes - 1);
/* distance tree */
//Tracev((stderr, "\ndist tree: sent %ld", s->bits_sent));
};
/* ===========================================================================
* Check if the data type is TEXT or BINARY, using the following algorithm:
* - TEXT if the two conditions below are satisfied:
* a) There are no non-portable control characters belonging to the
* "black list" (0..6, 14..25, 28..31).
* b) There is at least one printable character belonging to the
* "white list" (9 {TAB}, 10 {LF}, 13 {CR}, 32..255).
* - BINARY otherwise.
* - The following partially-portable control characters form a
* "gray list" that is ignored in this detection algorithm:
* (7 {BEL}, 8 {BS}, 11 {VT}, 12 {FF}, 26 {SUB}, 27 {ESC}).
* IN assertion: the fields Freq of dyn_ltree are set.
*/
const detect_data_type = s => {
/* black_mask is the bit mask of black-listed bytes
* set bits 0..6, 14..25, and 28..31
* 0xf3ffc07f = binary 11110011111111111100000001111111
*/
let black_mask = 0xf3ffc07f;
let n;
/* Check for non-textual ("black-listed") bytes. */
for (n = 0; n <= 31; n++, black_mask >>>= 1) {
if (black_mask & 1 && s.dyn_ltree[n * 2]
/*.Freq*/
!== 0) {
return Z_BINARY;
}
}
/* Check for textual ("white-listed") bytes. */
if (s.dyn_ltree[9 * 2]
/*.Freq*/
!== 0 || s.dyn_ltree[10 * 2]
/*.Freq*/
!== 0 || s.dyn_ltree[13 * 2]
/*.Freq*/
!== 0) {
return Z_TEXT;
}
for (n = 32; n < LITERALS$1; n++) {
if (s.dyn_ltree[n * 2]
/*.Freq*/
!== 0) {
return Z_TEXT;
}
}
/* There are no "black-listed" or "white-listed" bytes:
* this stream either is empty or has tolerated ("gray-listed") bytes only.
*/
return Z_BINARY;
};
let static_init_done = false;
/* ===========================================================================
* Initialize the tree data structures for a new zlib stream.
*/
const _tr_init$1 = s => {
if (!static_init_done) {
tr_static_init();
static_init_done = true;
}
s.l_desc = new TreeDesc(s.dyn_ltree, static_l_desc);
s.d_desc = new TreeDesc(s.dyn_dtree, static_d_desc);
s.bl_desc = new TreeDesc(s.bl_tree, static_bl_desc);
s.bi_buf = 0;
s.bi_valid = 0;
/* Initialize the first block of the first file: */
init_block(s);
};
/* ===========================================================================
* Send a stored block
*/
const _tr_stored_block$1 = (s, buf, stored_len, last) => //DeflateState *s;
//charf *buf; /* input block */
//ulg stored_len; /* length of input block */
//int last; /* one if this is the last block for a file */
{
send_bits(s, (STORED_BLOCK << 1) + (last ? 1 : 0), 3);
/* send block type */
copy_block(s, buf, stored_len, true);
/* with header */
};
/* ===========================================================================
* Send one empty static block to give enough lookahead for inflate.
* This takes 10 bits, of which 7 may remain in the bit buffer.
*/
const _tr_align$1 = s => {
send_bits(s, STATIC_TREES << 1, 3);
send_code(s, END_BLOCK, static_ltree);
bi_flush(s);
};
/* ===========================================================================
* Determine the best encoding for the current block: dynamic trees, static
* trees or store, and output the encoded block to the zip file.
*/
const _tr_flush_block$1 = (s, buf, stored_len, last) => //DeflateState *s;
//charf *buf; /* input block, or NULL if too old */
//ulg stored_len; /* length of input block */
//int last; /* one if this is the last block for a file */
{
let opt_lenb, static_lenb;
/* opt_len and static_len in bytes */
let max_blindex = 0;
/* index of last bit length code of non zero freq */
/* Build the Huffman trees unless a stored block is forced */
if (s.level > 0) {
/* Check if the file is binary or text */
if (s.strm.data_type === Z_UNKNOWN$1) {
s.strm.data_type = detect_data_type(s);
}
/* Construct the literal and distance trees */
build_tree(s, s.l_desc); // Tracev((stderr, "\nlit data: dyn %ld, stat %ld", s->opt_len,
// s->static_len));
build_tree(s, s.d_desc); // Tracev((stderr, "\ndist data: dyn %ld, stat %ld", s->opt_len,
// s->static_len));
/* At this point, opt_len and static_len are the total bit lengths of
* the compressed block data, excluding the tree representations.
*/
/* Build the bit length tree for the above two trees, and get the index
* in bl_order of the last bit length code to send.
*/
max_blindex = build_bl_tree(s);
/* Determine the best encoding. Compute the block lengths in bytes. */
opt_lenb = s.opt_len + 3 + 7 >>> 3;
static_lenb = s.static_len + 3 + 7 >>> 3; // Tracev((stderr, "\nopt %lu(%lu) stat %lu(%lu) stored %lu lit %u ",
// opt_lenb, s->opt_len, static_lenb, s->static_len, stored_len,
// s->last_lit));
if (static_lenb <= opt_lenb) {
opt_lenb = static_lenb;
}
} else {
// Assert(buf != (char*)0, "lost buf");
opt_lenb = static_lenb = stored_len + 5;
/* force a stored block */
}
if (stored_len + 4 <= opt_lenb && buf !== -1) {
/* 4: two words for the lengths */
/* The test buf != NULL is only necessary if LIT_BUFSIZE > WSIZE.
* Otherwise we can't have processed more than WSIZE input bytes since
* the last block flush, because compression would have been
* successful. If LIT_BUFSIZE <= WSIZE, it is never too late to
* transform a block into a stored block.
*/
_tr_stored_block$1(s, buf, stored_len, last);
} else if (s.strategy === Z_FIXED$1 || static_lenb === opt_lenb) {
send_bits(s, (STATIC_TREES << 1) + (last ? 1 : 0), 3);
compress_block(s, static_ltree, static_dtree);
} else {
send_bits(s, (DYN_TREES << 1) + (last ? 1 : 0), 3);
send_all_trees(s, s.l_desc.max_code + 1, s.d_desc.max_code + 1, max_blindex + 1);
compress_block(s, s.dyn_ltree, s.dyn_dtree);
} // Assert (s->compressed_len == s->bits_sent, "bad compressed size");
/* The above check is made mod 2^32, for files larger than 512 MB
* and uLong implemented on 32 bits.
*/
init_block(s);
if (last) {
bi_windup(s);
} // Tracev((stderr,"\ncomprlen %lu(%lu) ", s->compressed_len>>3,
// s->compressed_len-7*last));
};
/* ===========================================================================
* Save the match info and tally the frequency counts. Return true if
* the current block must be flushed.
*/
const _tr_tally$1 = (s, dist, lc) => // deflate_state *s;
// unsigned dist; /* distance of matched string */
// unsigned lc; /* match length-MIN_MATCH or unmatched char (if dist==0) */
{
//let out_length, in_length, dcode;
s.pending_buf[s.d_buf + s.last_lit * 2] = dist >>> 8 & 0xff;
s.pending_buf[s.d_buf + s.last_lit * 2 + 1] = dist & 0xff;
s.pending_buf[s.l_buf + s.last_lit] = lc & 0xff;
s.last_lit++;
if (dist === 0) {
/* lc is the unmatched char */
s.dyn_ltree[lc * 2] /*.Freq*/++;
} else {
s.matches++;
/* Here, lc is the match length - MIN_MATCH */
dist--;
/* dist = match distance - 1 */
//Assert((ush)dist < (ush)MAX_DIST(s) &&
// (ush)lc <= (ush)(MAX_MATCH-MIN_MATCH) &&
// (ush)d_code(dist) < (ush)D_CODES, "_tr_tally: bad match");
s.dyn_ltree[(_length_code[lc] + LITERALS$1 + 1) * 2] /*.Freq*/++;
s.dyn_dtree[d_code(dist) * 2] /*.Freq*/++;
} // (!) This block is disabled in zlib defaults,
// don't enable it for binary compatibility
//#ifdef TRUNCATE_BLOCK
// /* Try to guess if it is profitable to stop the current block here */
// if ((s.last_lit & 0x1fff) === 0 && s.level > 2) {
// /* Compute an upper bound for the compressed length */
// out_length = s.last_lit*8;
// in_length = s.strstart - s.block_start;
//
// for (dcode = 0; dcode < D_CODES; dcode++) {
// out_length += s.dyn_dtree[dcode*2]/*.Freq*/ * (5 + extra_dbits[dcode]);
// }
// out_length >>>= 3;
// //Tracev((stderr,"\nlast_lit %u, in %ld, out ~%ld(%ld%%) ",
// // s->last_lit, in_length, out_length,
// // 100L - out_length*100L/in_length));
// if (s.matches < (s.last_lit>>1)/*int /2*/ && out_length < (in_length>>1)/*int /2*/) {
// return true;
// }
// }
//#endif
return s.last_lit === s.lit_bufsize - 1;
/* We avoid equality with lit_bufsize because of wraparound at 64K
* on 16 bit machines and because stored blocks are restricted to
* 64K-1 bytes.
*/
};
var _tr_init_1 = _tr_init$1;
var _tr_stored_block_1 = _tr_stored_block$1;
var _tr_flush_block_1 = _tr_flush_block$1;
var _tr_tally_1 = _tr_tally$1;
var _tr_align_1 = _tr_align$1;
var trees = {
_tr_init: _tr_init_1,
_tr_stored_block: _tr_stored_block_1,
_tr_flush_block: _tr_flush_block_1,
_tr_tally: _tr_tally_1,
_tr_align: _tr_align_1
}; // Note: adler32 takes 12% for level 0 and 2% for level 6.
// It isn't worth it to make additional optimizations as in original.
// Small size is preferable.
// (C) 1995-2013 Jean-loup Gailly and Mark Adler
// (C) 2014-2017 Vitaly Puzrin and Andrey Tupitsin
//
// This software is provided 'as-is', without any express or implied
// warranty. In no event will the authors be held liable for any damages
// arising from the use of this software.
//
// Permission is granted to anyone to use this software for any purpose,
// including commercial applications, and to alter it and redistribute it
// freely, subject to the following restrictions:
//
// 1. The origin of this software must not be misrepresented; you must not
// claim that you wrote the original software. If you use this software
// in a product, an acknowledgment in the product documentation would be
// appreciated but is not required.
// 2. Altered source versions must be plainly marked as such, and must not be
// misrepresented as being the original software.
// 3. This notice may not be removed or altered from any source distribution.
const adler32 = (adler, buf, len, pos) => {
let s1 = adler & 0xffff | 0,
s2 = adler >>> 16 & 0xffff | 0,
n = 0;
while (len !== 0) {
// Set limit ~ twice less than 5552, to keep
// s2 in 31-bits, because we force signed ints.
// in other case %= will fail.
n = len > 2000 ? 2000 : len;
len -= n;
do {
s1 = s1 + buf[pos++] | 0;
s2 = s2 + s1 | 0;
} while (--n);
s1 %= 65521;
s2 %= 65521;
}
return s1 | s2 << 16 | 0;
};
var adler32_1 = adler32; // Note: we can't get significant speed boost here.
// So write code to minimize size - no pregenerated tables
// and array tools dependencies.
// (C) 1995-2013 Jean-loup Gailly and Mark Adler
// (C) 2014-2017 Vitaly Puzrin and Andrey Tupitsin
//
// This software is provided 'as-is', without any express or implied
// warranty. In no event will the authors be held liable for any damages
// arising from the use of this software.
//
// Permission is granted to anyone to use this software for any purpose,
// including commercial applications, and to alter it and redistribute it
// freely, subject to the following restrictions:
//
// 1. The origin of this software must not be misrepresented; you must not
// claim that you wrote the original software. If you use this software
// in a product, an acknowledgment in the product documentation would be
// appreciated but is not required.
// 2. Altered source versions must be plainly marked as such, and must not be
// misrepresented as being the original software.
// 3. This notice may not be removed or altered from any source distribution.
// Use ordinary array, since untyped makes no boost here
const makeTable = () => {
let c,
table = [];
for (var n = 0; n < 256; n++) {
c = n;
for (var k = 0; k < 8; k++) {
c = c & 1 ? 0xEDB88320 ^ c >>> 1 : c >>> 1;
}
table[n] = c;
}
return table;
}; // Create table on load. Just 255 signed longs. Not a problem.
const crcTable$1 = new Uint32Array(makeTable());
const crc32 = (crc, buf, len, pos) => {
const t = crcTable$1;
const end = pos + len;
crc ^= -1;
for (let i = pos; i < end; i++) {
crc = crc >>> 8 ^ t[(crc ^ buf[i]) & 0xFF];
}
return crc ^ -1; // >>> 0;
};
var crc32_1 = crc32; // (C) 1995-2013 Jean-loup Gailly and Mark Adler
// (C) 2014-2017 Vitaly Puzrin and Andrey Tupitsin
//
// This software is provided 'as-is', without any express or implied
// warranty. In no event will the authors be held liable for any damages
// arising from the use of this software.
//
// Permission is granted to anyone to use this software for any purpose,
// including commercial applications, and to alter it and redistribute it
// freely, subject to the following restrictions:
//
// 1. The origin of this software must not be misrepresented; you must not
// claim that you wrote the original software. If you use this software
// in a product, an acknowledgment in the product documentation would be
// appreciated but is not required.
// 2. Altered source versions must be plainly marked as such, and must not be
// misrepresented as being the original software.
// 3. This notice may not be removed or altered from any source distribution.
var messages = {
2: 'need dictionary',
/* Z_NEED_DICT 2 */
1: 'stream end',
/* Z_STREAM_END 1 */
0: '',
/* Z_OK 0 */
'-1': 'file error',
/* Z_ERRNO (-1) */
'-2': 'stream error',
/* Z_STREAM_ERROR (-2) */
'-3': 'data error',
/* Z_DATA_ERROR (-3) */
'-4': 'insufficient memory',
/* Z_MEM_ERROR (-4) */
'-5': 'buffer error',
/* Z_BUF_ERROR (-5) */
'-6': 'incompatible version'
/* Z_VERSION_ERROR (-6) */
}; // (C) 1995-2013 Jean-loup Gailly and Mark Adler
// (C) 2014-2017 Vitaly Puzrin and Andrey Tupitsin
//
// This software is provided 'as-is', without any express or implied
// warranty. In no event will the authors be held liable for any damages
// arising from the use of this software.
//
// Permission is granted to anyone to use this software for any purpose,
// including commercial applications, and to alter it and redistribute it
// freely, subject to the following restrictions:
//
// 1. The origin of this software must not be misrepresented; you must not
// claim that you wrote the original software. If you use this software
// in a product, an acknowledgment in the product documentation would be
// appreciated but is not required.
// 2. Altered source versions must be plainly marked as such, and must not be
// misrepresented as being the original software.
// 3. This notice may not be removed or altered from any source distribution.
var constants$2 = {
/* Allowed flush values; see deflate() and inflate() below for details */
Z_NO_FLUSH: 0,
Z_PARTIAL_FLUSH: 1,
Z_SYNC_FLUSH: 2,
Z_FULL_FLUSH: 3,
Z_FINISH: 4,
Z_BLOCK: 5,
Z_TREES: 6,
/* Return codes for the compression/decompression functions. Negative values
* are errors, positive values are used for special but normal events.
*/
Z_OK: 0,
Z_STREAM_END: 1,
Z_NEED_DICT: 2,
Z_ERRNO: -1,
Z_STREAM_ERROR: -2,
Z_DATA_ERROR: -3,
Z_MEM_ERROR: -4,
Z_BUF_ERROR: -5,
//Z_VERSION_ERROR: -6,
/* compression levels */
Z_NO_COMPRESSION: 0,
Z_BEST_SPEED: 1,
Z_BEST_COMPRESSION: 9,
Z_DEFAULT_COMPRESSION: -1,
Z_FILTERED: 1,
Z_HUFFMAN_ONLY: 2,
Z_RLE: 3,
Z_FIXED: 4,
Z_DEFAULT_STRATEGY: 0,
/* Possible values of the data_type field (though see inflate()) */
Z_BINARY: 0,
Z_TEXT: 1,
//Z_ASCII: 1, // = Z_TEXT (deprecated)
Z_UNKNOWN: 2,
/* The deflate compression method */
Z_DEFLATED: 8 //Z_NULL: null // Use -1 or null inline, depending on var type
}; // (C) 1995-2013 Jean-loup Gailly and Mark Adler
// (C) 2014-2017 Vitaly Puzrin and Andrey Tupitsin
//
// This software is provided 'as-is', without any express or implied
// warranty. In no event will the authors be held liable for any damages
// arising from the use of this software.
//
// Permission is granted to anyone to use this software for any purpose,
// including commercial applications, and to alter it and redistribute it
// freely, subject to the following restrictions:
//
// 1. The origin of this software must not be misrepresented; you must not
// claim that you wrote the original software. If you use this software
// in a product, an acknowledgment in the product documentation would be
// appreciated but is not required.
// 2. Altered source versions must be plainly marked as such, and must not be
// misrepresented as being the original software.
// 3. This notice may not be removed or altered from any source distribution.
const {
_tr_init,
_tr_stored_block,
_tr_flush_block,
_tr_tally,
_tr_align
} = trees;
/* Public constants ==========================================================*/
/* ===========================================================================*/
const {
Z_NO_FLUSH: Z_NO_FLUSH$2,
Z_PARTIAL_FLUSH,
Z_FULL_FLUSH: Z_FULL_FLUSH$1,
Z_FINISH: Z_FINISH$3,
Z_BLOCK: Z_BLOCK$1,
Z_OK: Z_OK$3,
Z_STREAM_END: Z_STREAM_END$3,
Z_STREAM_ERROR: Z_STREAM_ERROR$2,
Z_DATA_ERROR: Z_DATA_ERROR$2,
Z_BUF_ERROR: Z_BUF_ERROR$1,
Z_DEFAULT_COMPRESSION: Z_DEFAULT_COMPRESSION$1,
Z_FILTERED,
Z_HUFFMAN_ONLY,
Z_RLE,
Z_FIXED,
Z_DEFAULT_STRATEGY: Z_DEFAULT_STRATEGY$1,
Z_UNKNOWN,
Z_DEFLATED: Z_DEFLATED$2
} = constants$2;
/*============================================================================*/
const MAX_MEM_LEVEL = 9;
/* Maximum value for memLevel in deflateInit2 */
const MAX_WBITS$1 = 15;
/* 32K LZ77 window */
const DEF_MEM_LEVEL = 8;
const LENGTH_CODES = 29;
/* number of length codes, not counting the special END_BLOCK code */
const LITERALS = 256;
/* number of literal bytes 0..255 */
const L_CODES = LITERALS + 1 + LENGTH_CODES;
/* number of Literal or Length codes, including the END_BLOCK code */
const D_CODES = 30;
/* number of distance codes */
const BL_CODES = 19;
/* number of codes used to transfer the bit lengths */
const HEAP_SIZE = 2 * L_CODES + 1;
/* maximum heap size */
const MAX_BITS = 15;
/* All codes must not exceed MAX_BITS bits */
const MIN_MATCH = 3;
const MAX_MATCH = 258;
const MIN_LOOKAHEAD = MAX_MATCH + MIN_MATCH + 1;
const PRESET_DICT = 0x20;
const INIT_STATE = 42;
const EXTRA_STATE = 69;
const NAME_STATE = 73;
const COMMENT_STATE = 91;
const HCRC_STATE = 103;
const BUSY_STATE = 113;
const FINISH_STATE = 666;
const BS_NEED_MORE = 1;
/* block not completed, need more input or more output */
const BS_BLOCK_DONE = 2;
/* block flush performed */
const BS_FINISH_STARTED = 3;
/* finish started, need only more output at next deflate */
const BS_FINISH_DONE = 4;
/* finish done, accept no more input or output */
const OS_CODE = 0x03; // Unix :) . Don't detect, use this default.
const err = (strm, errorCode) => {
strm.msg = messages[errorCode];
return errorCode;
};
const rank = f => {
return (f << 1) - (f > 4 ? 9 : 0);
};
const zero = buf => {
let len = buf.length;
while (--len >= 0) {
buf[len] = 0;
}
};
/* eslint-disable new-cap */
let HASH_ZLIB = (s, prev, data) => (prev << s.hash_shift ^ data) & s.hash_mask; // This hash causes less collisions, https://github.com/nodeca/pako/issues/135
// But breaks binary compatibility
//let HASH_FAST = (s, prev, data) => ((prev << 8) + (prev >> 8) + (data << 4)) & s.hash_mask;
let HASH = HASH_ZLIB;
/* =========================================================================
* Flush as much pending output as possible. All deflate() output goes
* through this function so some applications may wish to modify it
* to avoid allocating a large strm->output buffer and copying into it.
* (See also read_buf()).
*/
const flush_pending = strm => {
const s = strm.state; //_tr_flush_bits(s);
let len = s.pending;
if (len > strm.avail_out) {
len = strm.avail_out;
}
if (len === 0) {
return;
}
strm.output.set(s.pending_buf.subarray(s.pending_out, s.pending_out + len), strm.next_out);
strm.next_out += len;
s.pending_out += len;
strm.total_out += len;
strm.avail_out -= len;
s.pending -= len;
if (s.pending === 0) {
s.pending_out = 0;
}
};
const flush_block_only = (s, last) => {
_tr_flush_block(s, s.block_start >= 0 ? s.block_start : -1, s.strstart - s.block_start, last);
s.block_start = s.strstart;
flush_pending(s.strm);
};
const put_byte = (s, b) => {
s.pending_buf[s.pending++] = b;
};
/* =========================================================================
* Put a short in the pending buffer. The 16-bit value is put in MSB order.
* IN assertion: the stream state is correct and there is enough room in
* pending_buf.
*/
const putShortMSB = (s, b) => {
// put_byte(s, (Byte)(b >> 8));
// put_byte(s, (Byte)(b & 0xff));
s.pending_buf[s.pending++] = b >>> 8 & 0xff;
s.pending_buf[s.pending++] = b & 0xff;
};
/* ===========================================================================
* Read a new buffer from the current input stream, update the adler32
* and total number of bytes read. All deflate() input goes through
* this function so some applications may wish to modify it to avoid
* allocating a large strm->input buffer and copying from it.
* (See also flush_pending()).
*/
const read_buf = (strm, buf, start, size) => {
let len = strm.avail_in;
if (len > size) {
len = size;
}
if (len === 0) {
return 0;
}
strm.avail_in -= len; // zmemcpy(buf, strm->next_in, len);
buf.set(strm.input.subarray(strm.next_in, strm.next_in + len), start);
if (strm.state.wrap === 1) {
strm.adler = adler32_1(strm.adler, buf, len, start);
} else if (strm.state.wrap === 2) {
strm.adler = crc32_1(strm.adler, buf, len, start);
}
strm.next_in += len;
strm.total_in += len;
return len;
};
/* ===========================================================================
* Set match_start to the longest match starting at the given string and
* return its length. Matches shorter or equal to prev_length are discarded,
* in which case the result is equal to prev_length and match_start is
* garbage.
* IN assertions: cur_match is the head of the hash chain for the current
* string (strstart) and its distance is <= MAX_DIST, and prev_length >= 1
* OUT assertion: the match length is not greater than s->lookahead.
*/
const longest_match = (s, cur_match) => {
let chain_length = s.max_chain_length;
/* max hash chain length */
let scan = s.strstart;
/* current string */
let match;
/* matched string */
let len;
/* length of current match */
let best_len = s.prev_length;
/* best match length so far */
let nice_match = s.nice_match;
/* stop if match long enough */
const limit = s.strstart > s.w_size - MIN_LOOKAHEAD ? s.strstart - (s.w_size - MIN_LOOKAHEAD) : 0
/*NIL*/
;
const _win = s.window; // shortcut
const wmask = s.w_mask;
const prev = s.prev;
/* Stop when cur_match becomes <= limit. To simplify the code,
* we prevent matches with the string of window index 0.
*/
const strend = s.strstart + MAX_MATCH;
let scan_end1 = _win[scan + best_len - 1];
let scan_end = _win[scan + best_len];
/* The code is optimized for HASH_BITS >= 8 and MAX_MATCH-2 multiple of 16.
* It is easy to get rid of this optimization if necessary.
*/
// Assert(s->hash_bits >= 8 && MAX_MATCH == 258, "Code too clever");
/* Do not waste too much time if we already have a good match: */
if (s.prev_length >= s.good_match) {
chain_length >>= 2;
}
/* Do not look for matches beyond the end of the input. This is necessary
* to make deflate deterministic.
*/
if (nice_match > s.lookahead) {
nice_match = s.lookahead;
} // Assert((ulg)s->strstart <= s->window_size-MIN_LOOKAHEAD, "need lookahead");
do {
// Assert(cur_match < s->strstart, "no future");
match = cur_match;
/* Skip to next match if the match length cannot increase
* or if the match length is less than 2. Note that the checks below
* for insufficient lookahead only occur occasionally for performance
* reasons. Therefore uninitialized memory will be accessed, and
* conditional jumps will be made that depend on those values.
* However the length of the match is limited to the lookahead, so
* the output of deflate is not affected by the uninitialized values.
*/
if (_win[match + best_len] !== scan_end || _win[match + best_len - 1] !== scan_end1 || _win[match] !== _win[scan] || _win[++match] !== _win[scan + 1]) {
continue;
}
/* The check at best_len-1 can be removed because it will be made
* again later. (This heuristic is not always a win.)
* It is not necessary to compare scan[2] and match[2] since they
* are always equal when the other bytes match, given that
* the hash keys are equal and that HASH_BITS >= 8.
*/
scan += 2;
match++; // Assert(*scan == *match, "match[2]?");
/* We check for insufficient lookahead only every 8th comparison;
* the 256th check will be made at strstart+258.
*/
do {
/*jshint noempty:false*/
} while (_win[++scan] === _win[++match] && _win[++scan] === _win[++match] && _win[++scan] === _win[++match] && _win[++scan] === _win[++match] && _win[++scan] === _win[++match] && _win[++scan] === _win[++match] && _win[++scan] === _win[++match] && _win[++scan] === _win[++match] && scan < strend); // Assert(scan <= s->window+(unsigned)(s->window_size-1), "wild scan");
len = MAX_MATCH - (strend - scan);
scan = strend - MAX_MATCH;
if (len > best_len) {
s.match_start = cur_match;
best_len = len;
if (len >= nice_match) {
break;
}
scan_end1 = _win[scan + best_len - 1];
scan_end = _win[scan + best_len];
}
} while ((cur_match = prev[cur_match & wmask]) > limit && --chain_length !== 0);
if (best_len <= s.lookahead) {
return best_len;
}
return s.lookahead;
};
/* ===========================================================================
* Fill the window when the lookahead becomes insufficient.
* Updates strstart and lookahead.
*
* IN assertion: lookahead < MIN_LOOKAHEAD
* OUT assertions: strstart <= window_size-MIN_LOOKAHEAD
* At least one byte has been read, or avail_in == 0; reads are
* performed for at least two bytes (required for the zip translate_eol
* option -- not supported here).
*/
const fill_window = s => {
const _w_size = s.w_size;
let p, n, m, more, str; //Assert(s->lookahead < MIN_LOOKAHEAD, "already enough lookahead");
do {
more = s.window_size - s.lookahead - s.strstart; // JS ints have 32 bit, block below not needed
/* Deal with !@#$% 64K limit: */
//if (sizeof(int) <= 2) {
// if (more == 0 && s->strstart == 0 && s->lookahead == 0) {
// more = wsize;
//
// } else if (more == (unsigned)(-1)) {
// /* Very unlikely, but possible on 16 bit machine if
// * strstart == 0 && lookahead == 1 (input done a byte at time)
// */
// more--;
// }
//}
/* If the window is almost full and there is insufficient lookahead,
* move the upper half to the lower one to make room in the upper half.
*/
if (s.strstart >= _w_size + (_w_size - MIN_LOOKAHEAD)) {
s.window.set(s.window.subarray(_w_size, _w_size + _w_size), 0);
s.match_start -= _w_size;
s.strstart -= _w_size;
/* we now have strstart >= MAX_DIST */
s.block_start -= _w_size;
/* Slide the hash table (could be avoided with 32 bit values
at the expense of memory usage). We slide even when level == 0
to keep the hash table consistent if we switch back to level > 0
later. (Using level 0 permanently is not an optimal usage of
zlib, so we don't care about this pathological case.)
*/
n = s.hash_size;
p = n;
do {
m = s.head[--p];
s.head[p] = m >= _w_size ? m - _w_size : 0;
} while (--n);
n = _w_size;
p = n;
do {
m = s.prev[--p];
s.prev[p] = m >= _w_size ? m - _w_size : 0;
/* If n is not on any hash chain, prev[n] is garbage but
* its value will never be used.
*/
} while (--n);
more += _w_size;
}
if (s.strm.avail_in === 0) {
break;
}
/* If there was no sliding:
* strstart <= WSIZE+MAX_DIST-1 && lookahead <= MIN_LOOKAHEAD - 1 &&
* more == window_size - lookahead - strstart
* => more >= window_size - (MIN_LOOKAHEAD-1 + WSIZE + MAX_DIST-1)
* => more >= window_size - 2*WSIZE + 2
* In the BIG_MEM or MMAP case (not yet supported),
* window_size == input_size + MIN_LOOKAHEAD &&
* strstart + s->lookahead <= input_size => more >= MIN_LOOKAHEAD.
* Otherwise, window_size == 2*WSIZE so more >= 2.
* If there was sliding, more >= WSIZE. So in all cases, more >= 2.
*/
//Assert(more >= 2, "more < 2");
n = read_buf(s.strm, s.window, s.strstart + s.lookahead, more);
s.lookahead += n;
/* Initialize the hash value now that we have some input: */
if (s.lookahead + s.insert >= MIN_MATCH) {
str = s.strstart - s.insert;
s.ins_h = s.window[str];
/* UPDATE_HASH(s, s->ins_h, s->window[str + 1]); */
s.ins_h = HASH(s, s.ins_h, s.window[str + 1]); //#if MIN_MATCH != 3
// Call update_hash() MIN_MATCH-3 more times
//#endif
while (s.insert) {
/* UPDATE_HASH(s, s->ins_h, s->window[str + MIN_MATCH-1]); */
s.ins_h = HASH(s, s.ins_h, s.window[str + MIN_MATCH - 1]);
s.prev[str & s.w_mask] = s.head[s.ins_h];
s.head[s.ins_h] = str;
str++;
s.insert--;
if (s.lookahead + s.insert < MIN_MATCH) {
break;
}
}
}
/* If the whole input has less than MIN_MATCH bytes, ins_h is garbage,
* but this is not important since only literal bytes will be emitted.
*/
} while (s.lookahead < MIN_LOOKAHEAD && s.strm.avail_in !== 0);
/* If the WIN_INIT bytes after the end of the current data have never been
* written, then zero those bytes in order to avoid memory check reports of
* the use of uninitialized (or uninitialised as Julian writes) bytes by
* the longest match routines. Update the high water mark for the next
* time through here. WIN_INIT is set to MAX_MATCH since the longest match
* routines allow scanning to strstart + MAX_MATCH, ignoring lookahead.
*/
// if (s.high_water < s.window_size) {
// const curr = s.strstart + s.lookahead;
// let init = 0;
//
// if (s.high_water < curr) {
// /* Previous high water mark below current data -- zero WIN_INIT
// * bytes or up to end of window, whichever is less.
// */
// init = s.window_size - curr;
// if (init > WIN_INIT)
// init = WIN_INIT;
// zmemzero(s->window + curr, (unsigned)init);
// s->high_water = curr + init;
// }
// else if (s->high_water < (ulg)curr + WIN_INIT) {
// /* High water mark at or above current data, but below current data
// * plus WIN_INIT -- zero out to current data plus WIN_INIT, or up
// * to end of window, whichever is less.
// */
// init = (ulg)curr + WIN_INIT - s->high_water;
// if (init > s->window_size - s->high_water)
// init = s->window_size - s->high_water;
// zmemzero(s->window + s->high_water, (unsigned)init);
// s->high_water += init;
// }
// }
//
// Assert((ulg)s->strstart <= s->window_size - MIN_LOOKAHEAD,
// "not enough room for search");
};
/* ===========================================================================
* Copy without compression as much as possible from the input stream, return
* the current block state.
* This function does not insert new strings in the dictionary since
* uncompressible data is probably not useful. This function is used
* only for the level=0 compression option.
* NOTE: this function should be optimized to avoid extra copying from
* window to pending_buf.
*/
const deflate_stored = (s, flush) => {
/* Stored blocks are limited to 0xffff bytes, pending_buf is limited
* to pending_buf_size, and each stored block has a 5 byte header:
*/
let max_block_size = 0xffff;
if (max_block_size > s.pending_buf_size - 5) {
max_block_size = s.pending_buf_size - 5;
}
/* Copy as much as possible from input to output: */
for (;;) {
/* Fill the window as much as possible: */
if (s.lookahead <= 1) {
//Assert(s->strstart < s->w_size+MAX_DIST(s) ||
// s->block_start >= (long)s->w_size, "slide too late");
// if (!(s.strstart < s.w_size + (s.w_size - MIN_LOOKAHEAD) ||
// s.block_start >= s.w_size)) {
// throw new Error("slide too late");
// }
fill_window(s);
if (s.lookahead === 0 && flush === Z_NO_FLUSH$2) {
return BS_NEED_MORE;
}
if (s.lookahead === 0) {
break;
}
/* flush the current block */
} //Assert(s->block_start >= 0L, "block gone");
// if (s.block_start < 0) throw new Error("block gone");
s.strstart += s.lookahead;
s.lookahead = 0;
/* Emit a stored block if pending_buf will be full: */
const max_start = s.block_start + max_block_size;
if (s.strstart === 0 || s.strstart >= max_start) {
/* strstart == 0 is possible when wraparound on 16-bit machine */
s.lookahead = s.strstart - max_start;
s.strstart = max_start;
/*** FLUSH_BLOCK(s, 0); ***/
flush_block_only(s, false);
if (s.strm.avail_out === 0) {
return BS_NEED_MORE;
}
/***/
}
/* Flush if we may have to slide, otherwise block_start may become
* negative and the data will be gone:
*/
if (s.strstart - s.block_start >= s.w_size - MIN_LOOKAHEAD) {
/*** FLUSH_BLOCK(s, 0); ***/
flush_block_only(s, false);
if (s.strm.avail_out === 0) {
return BS_NEED_MORE;
}
/***/
}
}
s.insert = 0;
if (flush === Z_FINISH$3) {
/*** FLUSH_BLOCK(s, 1); ***/
flush_block_only(s, true);
if (s.strm.avail_out === 0) {
return BS_FINISH_STARTED;
}
/***/
return BS_FINISH_DONE;
}
if (s.strstart > s.block_start) {
/*** FLUSH_BLOCK(s, 0); ***/
flush_block_only(s, false);
if (s.strm.avail_out === 0) {
return BS_NEED_MORE;
}
/***/
}
return BS_NEED_MORE;
};
/* ===========================================================================
* Compress as much as possible from the input stream, return the current
* block state.
* This function does not perform lazy evaluation of matches and inserts
* new strings in the dictionary only for unmatched strings or for short
* matches. It is used only for the fast compression options.
*/
const deflate_fast = (s, flush) => {
let hash_head;
/* head of the hash chain */
let bflush;
/* set if current block must be flushed */
for (;;) {
/* Make sure that we always have enough lookahead, except
* at the end of the input file. We need MAX_MATCH bytes
* for the next match, plus MIN_MATCH bytes to insert the
* string following the next match.
*/
if (s.lookahead < MIN_LOOKAHEAD) {
fill_window(s);
if (s.lookahead < MIN_LOOKAHEAD && flush === Z_NO_FLUSH$2) {
return BS_NEED_MORE;
}
if (s.lookahead === 0) {
break;
/* flush the current block */
}
}
/* Insert the string window[strstart .. strstart+2] in the
* dictionary, and set hash_head to the head of the hash chain:
*/
hash_head = 0
/*NIL*/
;
if (s.lookahead >= MIN_MATCH) {
/*** INSERT_STRING(s, s.strstart, hash_head); ***/
s.ins_h = HASH(s, s.ins_h, s.window[s.strstart + MIN_MATCH - 1]);
hash_head = s.prev[s.strstart & s.w_mask] = s.head[s.ins_h];
s.head[s.ins_h] = s.strstart;
/***/
}
/* Find the longest match, discarding those <= prev_length.
* At this point we have always match_length < MIN_MATCH
*/
if (hash_head !== 0
/*NIL*/
&& s.strstart - hash_head <= s.w_size - MIN_LOOKAHEAD) {
/* To simplify the code, we prevent matches with the string
* of window index 0 (in particular we have to avoid a match
* of the string with itself at the start of the input file).
*/
s.match_length = longest_match(s, hash_head);
/* longest_match() sets match_start */
}
if (s.match_length >= MIN_MATCH) {
// check_match(s, s.strstart, s.match_start, s.match_length); // for debug only
/*** _tr_tally_dist(s, s.strstart - s.match_start,
s.match_length - MIN_MATCH, bflush); ***/
bflush = _tr_tally(s, s.strstart - s.match_start, s.match_length - MIN_MATCH);
s.lookahead -= s.match_length;
/* Insert new strings in the hash table only if the match length
* is not too large. This saves time but degrades compression.
*/
if (s.match_length <= s.max_lazy_match
/*max_insert_length*/
&& s.lookahead >= MIN_MATCH) {
s.match_length--;
/* string at strstart already in table */
do {
s.strstart++;
/*** INSERT_STRING(s, s.strstart, hash_head); ***/
s.ins_h = HASH(s, s.ins_h, s.window[s.strstart + MIN_MATCH - 1]);
hash_head = s.prev[s.strstart & s.w_mask] = s.head[s.ins_h];
s.head[s.ins_h] = s.strstart;
/***/
/* strstart never exceeds WSIZE-MAX_MATCH, so there are
* always MIN_MATCH bytes ahead.
*/
} while (--s.match_length !== 0);
s.strstart++;
} else {
s.strstart += s.match_length;
s.match_length = 0;
s.ins_h = s.window[s.strstart];
/* UPDATE_HASH(s, s.ins_h, s.window[s.strstart+1]); */
s.ins_h = HASH(s, s.ins_h, s.window[s.strstart + 1]); //#if MIN_MATCH != 3
// Call UPDATE_HASH() MIN_MATCH-3 more times
//#endif
/* If lookahead < MIN_MATCH, ins_h is garbage, but it does not
* matter since it will be recomputed at next deflate call.
*/
}
} else {
/* No match, output a literal byte */
//Tracevv((stderr,"%c", s.window[s.strstart]));
/*** _tr_tally_lit(s, s.window[s.strstart], bflush); ***/
bflush = _tr_tally(s, 0, s.window[s.strstart]);
s.lookahead--;
s.strstart++;
}
if (bflush) {
/*** FLUSH_BLOCK(s, 0); ***/
flush_block_only(s, false);
if (s.strm.avail_out === 0) {
return BS_NEED_MORE;
}
/***/
}
}
s.insert = s.strstart < MIN_MATCH - 1 ? s.strstart : MIN_MATCH - 1;
if (flush === Z_FINISH$3) {
/*** FLUSH_BLOCK(s, 1); ***/
flush_block_only(s, true);
if (s.strm.avail_out === 0) {
return BS_FINISH_STARTED;
}
/***/
return BS_FINISH_DONE;
}
if (s.last_lit) {
/*** FLUSH_BLOCK(s, 0); ***/
flush_block_only(s, false);
if (s.strm.avail_out === 0) {
return BS_NEED_MORE;
}
/***/
}
return BS_BLOCK_DONE;
};
/* ===========================================================================
* Same as above, but achieves better compression. We use a lazy
* evaluation for matches: a match is finally adopted only if there is
* no better match at the next window position.
*/
const deflate_slow = (s, flush) => {
let hash_head;
/* head of hash chain */
let bflush;
/* set if current block must be flushed */
let max_insert;
/* Process the input block. */
for (;;) {
/* Make sure that we always have enough lookahead, except
* at the end of the input file. We need MAX_MATCH bytes
* for the next match, plus MIN_MATCH bytes to insert the
* string following the next match.
*/
if (s.lookahead < MIN_LOOKAHEAD) {
fill_window(s);
if (s.lookahead < MIN_LOOKAHEAD && flush === Z_NO_FLUSH$2) {
return BS_NEED_MORE;
}
if (s.lookahead === 0) {
break;
}
/* flush the current block */
}
/* Insert the string window[strstart .. strstart+2] in the
* dictionary, and set hash_head to the head of the hash chain:
*/
hash_head = 0
/*NIL*/
;
if (s.lookahead >= MIN_MATCH) {
/*** INSERT_STRING(s, s.strstart, hash_head); ***/
s.ins_h = HASH(s, s.ins_h, s.window[s.strstart + MIN_MATCH - 1]);
hash_head = s.prev[s.strstart & s.w_mask] = s.head[s.ins_h];
s.head[s.ins_h] = s.strstart;
/***/
}
/* Find the longest match, discarding those <= prev_length.
*/
s.prev_length = s.match_length;
s.prev_match = s.match_start;
s.match_length = MIN_MATCH - 1;
if (hash_head !== 0
/*NIL*/
&& s.prev_length < s.max_lazy_match && s.strstart - hash_head <= s.w_size - MIN_LOOKAHEAD
/*MAX_DIST(s)*/
) {
/* To simplify the code, we prevent matches with the string
* of window index 0 (in particular we have to avoid a match
* of the string with itself at the start of the input file).
*/
s.match_length = longest_match(s, hash_head);
/* longest_match() sets match_start */
if (s.match_length <= 5 && (s.strategy === Z_FILTERED || s.match_length === MIN_MATCH && s.strstart - s.match_start > 4096
/*TOO_FAR*/
)) {
/* If prev_match is also MIN_MATCH, match_start is garbage
* but we will ignore the current match anyway.
*/
s.match_length = MIN_MATCH - 1;
}
}
/* If there was a match at the previous step and the current
* match is not better, output the previous match:
*/
if (s.prev_length >= MIN_MATCH && s.match_length <= s.prev_length) {
max_insert = s.strstart + s.lookahead - MIN_MATCH;
/* Do not insert strings in hash table beyond this. */
//check_match(s, s.strstart-1, s.prev_match, s.prev_length);
/***_tr_tally_dist(s, s.strstart - 1 - s.prev_match,
s.prev_length - MIN_MATCH, bflush);***/
bflush = _tr_tally(s, s.strstart - 1 - s.prev_match, s.prev_length - MIN_MATCH);
/* Insert in hash table all strings up to the end of the match.
* strstart-1 and strstart are already inserted. If there is not
* enough lookahead, the last two strings are not inserted in
* the hash table.
*/
s.lookahead -= s.prev_length - 1;
s.prev_length -= 2;
do {
if (++s.strstart <= max_insert) {
/*** INSERT_STRING(s, s.strstart, hash_head); ***/
s.ins_h = HASH(s, s.ins_h, s.window[s.strstart + MIN_MATCH - 1]);
hash_head = s.prev[s.strstart & s.w_mask] = s.head[s.ins_h];
s.head[s.ins_h] = s.strstart;
/***/
}
} while (--s.prev_length !== 0);
s.match_available = 0;
s.match_length = MIN_MATCH - 1;
s.strstart++;
if (bflush) {
/*** FLUSH_BLOCK(s, 0); ***/
flush_block_only(s, false);
if (s.strm.avail_out === 0) {
return BS_NEED_MORE;
}
/***/
}
} else if (s.match_available) {
/* If there was no match at the previous position, output a
* single literal. If there was a match but the current match
* is longer, truncate the previous match to a single literal.
*/
//Tracevv((stderr,"%c", s->window[s->strstart-1]));
/*** _tr_tally_lit(s, s.window[s.strstart-1], bflush); ***/
bflush = _tr_tally(s, 0, s.window[s.strstart - 1]);
if (bflush) {
/*** FLUSH_BLOCK_ONLY(s, 0) ***/
flush_block_only(s, false);
/***/
}
s.strstart++;
s.lookahead--;
if (s.strm.avail_out === 0) {
return BS_NEED_MORE;
}
} else {
/* There is no previous match to compare with, wait for
* the next step to decide.
*/
s.match_available = 1;
s.strstart++;
s.lookahead--;
}
} //Assert (flush != Z_NO_FLUSH, "no flush?");
if (s.match_available) {
//Tracevv((stderr,"%c", s->window[s->strstart-1]));
/*** _tr_tally_lit(s, s.window[s.strstart-1], bflush); ***/
bflush = _tr_tally(s, 0, s.window[s.strstart - 1]);
s.match_available = 0;
}
s.insert = s.strstart < MIN_MATCH - 1 ? s.strstart : MIN_MATCH - 1;
if (flush === Z_FINISH$3) {
/*** FLUSH_BLOCK(s, 1); ***/
flush_block_only(s, true);
if (s.strm.avail_out === 0) {
return BS_FINISH_STARTED;
}
/***/
return BS_FINISH_DONE;
}
if (s.last_lit) {
/*** FLUSH_BLOCK(s, 0); ***/
flush_block_only(s, false);
if (s.strm.avail_out === 0) {
return BS_NEED_MORE;
}
/***/
}
return BS_BLOCK_DONE;
};
/* ===========================================================================
* For Z_RLE, simply look for runs of bytes, generate matches only of distance
* one. Do not maintain a hash table. (It will be regenerated if this run of
* deflate switches away from Z_RLE.)
*/
const deflate_rle = (s, flush) => {
let bflush;
/* set if current block must be flushed */
let prev;
/* byte at distance one to match */
let scan, strend;
/* scan goes up to strend for length of run */
const _win = s.window;
for (;;) {
/* Make sure that we always have enough lookahead, except
* at the end of the input file. We need MAX_MATCH bytes
* for the longest run, plus one for the unrolled loop.
*/
if (s.lookahead <= MAX_MATCH) {
fill_window(s);
if (s.lookahead <= MAX_MATCH && flush === Z_NO_FLUSH$2) {
return BS_NEED_MORE;
}
if (s.lookahead === 0) {
break;
}
/* flush the current block */
}
/* See how many times the previous byte repeats */
s.match_length = 0;
if (s.lookahead >= MIN_MATCH && s.strstart > 0) {
scan = s.strstart - 1;
prev = _win[scan];
if (prev === _win[++scan] && prev === _win[++scan] && prev === _win[++scan]) {
strend = s.strstart + MAX_MATCH;
do {
/*jshint noempty:false*/
} while (prev === _win[++scan] && prev === _win[++scan] && prev === _win[++scan] && prev === _win[++scan] && prev === _win[++scan] && prev === _win[++scan] && prev === _win[++scan] && prev === _win[++scan] && scan < strend);
s.match_length = MAX_MATCH - (strend - scan);
if (s.match_length > s.lookahead) {
s.match_length = s.lookahead;
}
} //Assert(scan <= s->window+(uInt)(s->window_size-1), "wild scan");
}
/* Emit match if have run of MIN_MATCH or longer, else emit literal */
if (s.match_length >= MIN_MATCH) {
//check_match(s, s.strstart, s.strstart - 1, s.match_length);
/*** _tr_tally_dist(s, 1, s.match_length - MIN_MATCH, bflush); ***/
bflush = _tr_tally(s, 1, s.match_length - MIN_MATCH);
s.lookahead -= s.match_length;
s.strstart += s.match_length;
s.match_length = 0;
} else {
/* No match, output a literal byte */
//Tracevv((stderr,"%c", s->window[s->strstart]));
/*** _tr_tally_lit(s, s.window[s.strstart], bflush); ***/
bflush = _tr_tally(s, 0, s.window[s.strstart]);
s.lookahead--;
s.strstart++;
}
if (bflush) {
/*** FLUSH_BLOCK(s, 0); ***/
flush_block_only(s, false);
if (s.strm.avail_out === 0) {
return BS_NEED_MORE;
}
/***/
}
}
s.insert = 0;
if (flush === Z_FINISH$3) {
/*** FLUSH_BLOCK(s, 1); ***/
flush_block_only(s, true);
if (s.strm.avail_out === 0) {
return BS_FINISH_STARTED;
}
/***/
return BS_FINISH_DONE;
}
if (s.last_lit) {
/*** FLUSH_BLOCK(s, 0); ***/
flush_block_only(s, false);
if (s.strm.avail_out === 0) {
return BS_NEED_MORE;
}
/***/
}
return BS_BLOCK_DONE;
};
/* ===========================================================================
* For Z_HUFFMAN_ONLY, do not look for matches. Do not maintain a hash table.
* (It will be regenerated if this run of deflate switches away from Huffman.)
*/
const deflate_huff = (s, flush) => {
let bflush;
/* set if current block must be flushed */
for (;;) {
/* Make sure that we have a literal to write. */
if (s.lookahead === 0) {
fill_window(s);
if (s.lookahead === 0) {
if (flush === Z_NO_FLUSH$2) {
return BS_NEED_MORE;
}
break;
/* flush the current block */
}
}
/* Output a literal byte */
s.match_length = 0; //Tracevv((stderr,"%c", s->window[s->strstart]));
/*** _tr_tally_lit(s, s.window[s.strstart], bflush); ***/
bflush = _tr_tally(s, 0, s.window[s.strstart]);
s.lookahead--;
s.strstart++;
if (bflush) {
/*** FLUSH_BLOCK(s, 0); ***/
flush_block_only(s, false);
if (s.strm.avail_out === 0) {
return BS_NEED_MORE;
}
/***/
}
}
s.insert = 0;
if (flush === Z_FINISH$3) {
/*** FLUSH_BLOCK(s, 1); ***/
flush_block_only(s, true);
if (s.strm.avail_out === 0) {
return BS_FINISH_STARTED;
}
/***/
return BS_FINISH_DONE;
}
if (s.last_lit) {
/*** FLUSH_BLOCK(s, 0); ***/
flush_block_only(s, false);
if (s.strm.avail_out === 0) {
return BS_NEED_MORE;
}
/***/
}
return BS_BLOCK_DONE;
};
/* Values for max_lazy_match, good_match and max_chain_length, depending on
* the desired pack level (0..9). The values given below have been tuned to
* exclude worst case performance for pathological files. Better values may be
* found for specific files.
*/
function Config(good_length, max_lazy, nice_length, max_chain, func) {
this.good_length = good_length;
this.max_lazy = max_lazy;
this.nice_length = nice_length;
this.max_chain = max_chain;
this.func = func;
}
const configuration_table = [
/* good lazy nice chain */
new Config(0, 0, 0, 0, deflate_stored),
/* 0 store only */
new Config(4, 4, 8, 4, deflate_fast),
/* 1 max speed, no lazy matches */
new Config(4, 5, 16, 8, deflate_fast),
/* 2 */
new Config(4, 6, 32, 32, deflate_fast),
/* 3 */
new Config(4, 4, 16, 16, deflate_slow),
/* 4 lazy matches */
new Config(8, 16, 32, 32, deflate_slow),
/* 5 */
new Config(8, 16, 128, 128, deflate_slow),
/* 6 */
new Config(8, 32, 128, 256, deflate_slow),
/* 7 */
new Config(32, 128, 258, 1024, deflate_slow),
/* 8 */
new Config(32, 258, 258, 4096, deflate_slow)
/* 9 max compression */
];
/* ===========================================================================
* Initialize the "longest match" routines for a new zlib stream
*/
const lm_init = s => {
s.window_size = 2 * s.w_size;
/*** CLEAR_HASH(s); ***/
zero(s.head); // Fill with NIL (= 0);
/* Set the default configuration parameters:
*/
s.max_lazy_match = configuration_table[s.level].max_lazy;
s.good_match = configuration_table[s.level].good_length;
s.nice_match = configuration_table[s.level].nice_length;
s.max_chain_length = configuration_table[s.level].max_chain;
s.strstart = 0;
s.block_start = 0;
s.lookahead = 0;
s.insert = 0;
s.match_length = s.prev_length = MIN_MATCH - 1;
s.match_available = 0;
s.ins_h = 0;
};
function DeflateState() {
this.strm = null;
/* pointer back to this zlib stream */
this.status = 0;
/* as the name implies */
this.pending_buf = null;
/* output still pending */
this.pending_buf_size = 0;
/* size of pending_buf */
this.pending_out = 0;
/* next pending byte to output to the stream */
this.pending = 0;
/* nb of bytes in the pending buffer */
this.wrap = 0;
/* bit 0 true for zlib, bit 1 true for gzip */
this.gzhead = null;
/* gzip header information to write */
this.gzindex = 0;
/* where in extra, name, or comment */
this.method = Z_DEFLATED$2;
/* can only be DEFLATED */
this.last_flush = -1;
/* value of flush param for previous deflate call */
this.w_size = 0;
/* LZ77 window size (32K by default) */
this.w_bits = 0;
/* log2(w_size) (8..16) */
this.w_mask = 0;
/* w_size - 1 */
this.window = null;
/* Sliding window. Input bytes are read into the second half of the window,
* and move to the first half later to keep a dictionary of at least wSize
* bytes. With this organization, matches are limited to a distance of
* wSize-MAX_MATCH bytes, but this ensures that IO is always
* performed with a length multiple of the block size.
*/
this.window_size = 0;
/* Actual size of window: 2*wSize, except when the user input buffer
* is directly used as sliding window.
*/
this.prev = null;
/* Link to older string with same hash index. To limit the size of this
* array to 64K, this link is maintained only for the last 32K strings.
* An index in this array is thus a window index modulo 32K.
*/
this.head = null;
/* Heads of the hash chains or NIL. */
this.ins_h = 0;
/* hash index of string to be inserted */
this.hash_size = 0;
/* number of elements in hash table */
this.hash_bits = 0;
/* log2(hash_size) */
this.hash_mask = 0;
/* hash_size-1 */
this.hash_shift = 0;
/* Number of bits by which ins_h must be shifted at each input
* step. It must be such that after MIN_MATCH steps, the oldest
* byte no longer takes part in the hash key, that is:
* hash_shift * MIN_MATCH >= hash_bits
*/
this.block_start = 0;
/* Window position at the beginning of the current output block. Gets
* negative when the window is moved backwards.
*/
this.match_length = 0;
/* length of best match */
this.prev_match = 0;
/* previous match */
this.match_available = 0;
/* set if previous match exists */
this.strstart = 0;
/* start of string to insert */
this.match_start = 0;
/* start of matching string */
this.lookahead = 0;
/* number of valid bytes ahead in window */
this.prev_length = 0;
/* Length of the best match at previous step. Matches not greater than this
* are discarded. This is used in the lazy match evaluation.
*/
this.max_chain_length = 0;
/* To speed up deflation, hash chains are never searched beyond this
* length. A higher limit improves compression ratio but degrades the
* speed.
*/
this.max_lazy_match = 0;
/* Attempt to find a better match only when the current match is strictly
* smaller than this value. This mechanism is used only for compression
* levels >= 4.
*/
// That's alias to max_lazy_match, don't use directly
//this.max_insert_length = 0;
/* Insert new strings in the hash table only if the match length is not
* greater than this length. This saves time but degrades compression.
* max_insert_length is used only for compression levels <= 3.
*/
this.level = 0;
/* compression level (1..9) */
this.strategy = 0;
/* favor or force Huffman coding*/
this.good_match = 0;
/* Use a faster search when the previous match is longer than this */
this.nice_match = 0;
/* Stop searching when current match exceeds this */
/* used by trees.c: */
/* Didn't use ct_data typedef below to suppress compiler warning */
// struct ct_data_s dyn_ltree[HEAP_SIZE]; /* literal and length tree */
// struct ct_data_s dyn_dtree[2*D_CODES+1]; /* distance tree */
// struct ct_data_s bl_tree[2*BL_CODES+1]; /* Huffman tree for bit lengths */
// Use flat array of DOUBLE size, with interleaved fata,
// because JS does not support effective
this.dyn_ltree = new Uint16Array(HEAP_SIZE * 2);
this.dyn_dtree = new Uint16Array((2 * D_CODES + 1) * 2);
this.bl_tree = new Uint16Array((2 * BL_CODES + 1) * 2);
zero(this.dyn_ltree);
zero(this.dyn_dtree);
zero(this.bl_tree);
this.l_desc = null;
/* desc. for literal tree */
this.d_desc = null;
/* desc. for distance tree */
this.bl_desc = null;
/* desc. for bit length tree */
//ush bl_count[MAX_BITS+1];
this.bl_count = new Uint16Array(MAX_BITS + 1);
/* number of codes at each bit length for an optimal tree */
//int heap[2*L_CODES+1]; /* heap used to build the Huffman trees */
this.heap = new Uint16Array(2 * L_CODES + 1);
/* heap used to build the Huffman trees */
zero(this.heap);
this.heap_len = 0;
/* number of elements in the heap */
this.heap_max = 0;
/* element of largest frequency */
/* The sons of heap[n] are heap[2*n] and heap[2*n+1]. heap[0] is not used.
* The same heap array is used to build all trees.
*/
this.depth = new Uint16Array(2 * L_CODES + 1); //uch depth[2*L_CODES+1];
zero(this.depth);
/* Depth of each subtree used as tie breaker for trees of equal frequency
*/
this.l_buf = 0;
/* buffer index for literals or lengths */
this.lit_bufsize = 0;
/* Size of match buffer for literals/lengths. There are 4 reasons for
* limiting lit_bufsize to 64K:
* - frequencies can be kept in 16 bit counters
* - if compression is not successful for the first block, all input
* data is still in the window so we can still emit a stored block even
* when input comes from standard input. (This can also be done for
* all blocks if lit_bufsize is not greater than 32K.)
* - if compression is not successful for a file smaller than 64K, we can
* even emit a stored file instead of a stored block (saving 5 bytes).
* This is applicable only for zip (not gzip or zlib).
* - creating new Huffman trees less frequently may not provide fast
* adaptation to changes in the input data statistics. (Take for
* example a binary file with poorly compressible code followed by
* a highly compressible string table.) Smaller buffer sizes give
* fast adaptation but have of course the overhead of transmitting
* trees more frequently.
* - I can't count above 4
*/
this.last_lit = 0;
/* running index in l_buf */
this.d_buf = 0;
/* Buffer index for distances. To simplify the code, d_buf and l_buf have
* the same number of elements. To use different lengths, an extra flag
* array would be necessary.
*/
this.opt_len = 0;
/* bit length of current block with optimal trees */
this.static_len = 0;
/* bit length of current block with static trees */
this.matches = 0;
/* number of string matches in current block */
this.insert = 0;
/* bytes at end of window left to insert */
this.bi_buf = 0;
/* Output buffer. bits are inserted starting at the bottom (least
* significant bits).
*/
this.bi_valid = 0;
/* Number of valid bits in bi_buf. All bits above the last valid bit
* are always zero.
*/
// Used for window memory init. We safely ignore it for JS. That makes
// sense only for pointers and memory check tools.
//this.high_water = 0;
/* High water mark offset in window for initialized bytes -- bytes above
* this are set to zero in order to avoid memory check warnings when
* longest match routines access bytes past the input. This is then
* updated to the new high water mark.
*/
}
const deflateResetKeep = strm => {
if (!strm || !strm.state) {
return err(strm, Z_STREAM_ERROR$2);
}
strm.total_in = strm.total_out = 0;
strm.data_type = Z_UNKNOWN;
const s = strm.state;
s.pending = 0;
s.pending_out = 0;
if (s.wrap < 0) {
s.wrap = -s.wrap;
/* was made negative by deflate(..., Z_FINISH); */
}
s.status = s.wrap ? INIT_STATE : BUSY_STATE;
strm.adler = s.wrap === 2 ? 0 // crc32(0, Z_NULL, 0)
: 1; // adler32(0, Z_NULL, 0)
s.last_flush = Z_NO_FLUSH$2;
_tr_init(s);
return Z_OK$3;
};
const deflateReset = strm => {
const ret = deflateResetKeep(strm);
if (ret === Z_OK$3) {
lm_init(strm.state);
}
return ret;
};
const deflateSetHeader = (strm, head) => {
if (!strm || !strm.state) {
return Z_STREAM_ERROR$2;
}
if (strm.state.wrap !== 2) {
return Z_STREAM_ERROR$2;
}
strm.state.gzhead = head;
return Z_OK$3;
};
const deflateInit2 = (strm, level, method, windowBits, memLevel, strategy) => {
if (!strm) {
// === Z_NULL
return Z_STREAM_ERROR$2;
}
let wrap = 1;
if (level === Z_DEFAULT_COMPRESSION$1) {
level = 6;
}
if (windowBits < 0) {
/* suppress zlib wrapper */
wrap = 0;
windowBits = -windowBits;
} else if (windowBits > 15) {
wrap = 2;
/* write gzip wrapper instead */
windowBits -= 16;
}
if (memLevel < 1 || memLevel > MAX_MEM_LEVEL || method !== Z_DEFLATED$2 || windowBits < 8 || windowBits > 15 || level < 0 || level > 9 || strategy < 0 || strategy > Z_FIXED) {
return err(strm, Z_STREAM_ERROR$2);
}
if (windowBits === 8) {
windowBits = 9;
}
/* until 256-byte window bug fixed */
const s = new DeflateState();
strm.state = s;
s.strm = strm;
s.wrap = wrap;
s.gzhead = null;
s.w_bits = windowBits;
s.w_size = 1 << s.w_bits;
s.w_mask = s.w_size - 1;
s.hash_bits = memLevel + 7;
s.hash_size = 1 << s.hash_bits;
s.hash_mask = s.hash_size - 1;
s.hash_shift = ~~((s.hash_bits + MIN_MATCH - 1) / MIN_MATCH);
s.window = new Uint8Array(s.w_size * 2);
s.head = new Uint16Array(s.hash_size);
s.prev = new Uint16Array(s.w_size); // Don't need mem init magic for JS.
//s.high_water = 0; /* nothing written to s->window yet */
s.lit_bufsize = 1 << memLevel + 6;
/* 16K elements by default */
s.pending_buf_size = s.lit_bufsize * 4; //overlay = (ushf *) ZALLOC(strm, s->lit_bufsize, sizeof(ush)+2);
//s->pending_buf = (uchf *) overlay;
s.pending_buf = new Uint8Array(s.pending_buf_size); // It is offset from `s.pending_buf` (size is `s.lit_bufsize * 2`)
//s->d_buf = overlay + s->lit_bufsize/sizeof(ush);
s.d_buf = 1 * s.lit_bufsize; //s->l_buf = s->pending_buf + (1+sizeof(ush))*s->lit_bufsize;
s.l_buf = (1 + 2) * s.lit_bufsize;
s.level = level;
s.strategy = strategy;
s.method = method;
return deflateReset(strm);
};
const deflateInit = (strm, level) => {
return deflateInit2(strm, level, Z_DEFLATED$2, MAX_WBITS$1, DEF_MEM_LEVEL, Z_DEFAULT_STRATEGY$1);
};
const deflate$2 = (strm, flush) => {
let beg, val; // for gzip header write only
if (!strm || !strm.state || flush > Z_BLOCK$1 || flush < 0) {
return strm ? err(strm, Z_STREAM_ERROR$2) : Z_STREAM_ERROR$2;
}
const s = strm.state;
if (!strm.output || !strm.input && strm.avail_in !== 0 || s.status === FINISH_STATE && flush !== Z_FINISH$3) {
return err(strm, strm.avail_out === 0 ? Z_BUF_ERROR$1 : Z_STREAM_ERROR$2);
}
s.strm = strm;
/* just in case */
const old_flush = s.last_flush;
s.last_flush = flush;
/* Write the header */
if (s.status === INIT_STATE) {
if (s.wrap === 2) {
// GZIP header
strm.adler = 0; //crc32(0L, Z_NULL, 0);
put_byte(s, 31);
put_byte(s, 139);
put_byte(s, 8);
if (!s.gzhead) {
// s->gzhead == Z_NULL
put_byte(s, 0);
put_byte(s, 0);
put_byte(s, 0);
put_byte(s, 0);
put_byte(s, 0);
put_byte(s, s.level === 9 ? 2 : s.strategy >= Z_HUFFMAN_ONLY || s.level < 2 ? 4 : 0);
put_byte(s, OS_CODE);
s.status = BUSY_STATE;
} else {
put_byte(s, (s.gzhead.text ? 1 : 0) + (s.gzhead.hcrc ? 2 : 0) + (!s.gzhead.extra ? 0 : 4) + (!s.gzhead.name ? 0 : 8) + (!s.gzhead.comment ? 0 : 16));
put_byte(s, s.gzhead.time & 0xff);
put_byte(s, s.gzhead.time >> 8 & 0xff);
put_byte(s, s.gzhead.time >> 16 & 0xff);
put_byte(s, s.gzhead.time >> 24 & 0xff);
put_byte(s, s.level === 9 ? 2 : s.strategy >= Z_HUFFMAN_ONLY || s.level < 2 ? 4 : 0);
put_byte(s, s.gzhead.os & 0xff);
if (s.gzhead.extra && s.gzhead.extra.length) {
put_byte(s, s.gzhead.extra.length & 0xff);
put_byte(s, s.gzhead.extra.length >> 8 & 0xff);
}
if (s.gzhead.hcrc) {
strm.adler = crc32_1(strm.adler, s.pending_buf, s.pending, 0);
}
s.gzindex = 0;
s.status = EXTRA_STATE;
}
} else // DEFLATE header
{
let header = Z_DEFLATED$2 + (s.w_bits - 8 << 4) << 8;
let level_flags = -1;
if (s.strategy >= Z_HUFFMAN_ONLY || s.level < 2) {
level_flags = 0;
} else if (s.level < 6) {
level_flags = 1;
} else if (s.level === 6) {
level_flags = 2;
} else {
level_flags = 3;
}
header |= level_flags << 6;
if (s.strstart !== 0) {
header |= PRESET_DICT;
}
header += 31 - header % 31;
s.status = BUSY_STATE;
putShortMSB(s, header);
/* Save the adler32 of the preset dictionary: */
if (s.strstart !== 0) {
putShortMSB(s, strm.adler >>> 16);
putShortMSB(s, strm.adler & 0xffff);
}
strm.adler = 1; // adler32(0L, Z_NULL, 0);
}
} //#ifdef GZIP
if (s.status === EXTRA_STATE) {
if (s.gzhead.extra
/* != Z_NULL*/
) {
beg = s.pending;
/* start of bytes to update crc */
while (s.gzindex < (s.gzhead.extra.length & 0xffff)) {
if (s.pending === s.pending_buf_size) {
if (s.gzhead.hcrc && s.pending > beg) {
strm.adler = crc32_1(strm.adler, s.pending_buf, s.pending - beg, beg);
}
flush_pending(strm);
beg = s.pending;
if (s.pending === s.pending_buf_size) {
break;
}
}
put_byte(s, s.gzhead.extra[s.gzindex] & 0xff);
s.gzindex++;
}
if (s.gzhead.hcrc && s.pending > beg) {
strm.adler = crc32_1(strm.adler, s.pending_buf, s.pending - beg, beg);
}
if (s.gzindex === s.gzhead.extra.length) {
s.gzindex = 0;
s.status = NAME_STATE;
}
} else {
s.status = NAME_STATE;
}
}
if (s.status === NAME_STATE) {
if (s.gzhead.name
/* != Z_NULL*/
) {
beg = s.pending;
/* start of bytes to update crc */
//int val;
do {
if (s.pending === s.pending_buf_size) {
if (s.gzhead.hcrc && s.pending > beg) {
strm.adler = crc32_1(strm.adler, s.pending_buf, s.pending - beg, beg);
}
flush_pending(strm);
beg = s.pending;
if (s.pending === s.pending_buf_size) {
val = 1;
break;
}
} // JS specific: little magic to add zero terminator to end of string
if (s.gzindex < s.gzhead.name.length) {
val = s.gzhead.name.charCodeAt(s.gzindex++) & 0xff;
} else {
val = 0;
}
put_byte(s, val);
} while (val !== 0);
if (s.gzhead.hcrc && s.pending > beg) {
strm.adler = crc32_1(strm.adler, s.pending_buf, s.pending - beg, beg);
}
if (val === 0) {
s.gzindex = 0;
s.status = COMMENT_STATE;
}
} else {
s.status = COMMENT_STATE;
}
}
if (s.status === COMMENT_STATE) {
if (s.gzhead.comment
/* != Z_NULL*/
) {
beg = s.pending;
/* start of bytes to update crc */
//int val;
do {
if (s.pending === s.pending_buf_size) {
if (s.gzhead.hcrc && s.pending > beg) {
strm.adler = crc32_1(strm.adler, s.pending_buf, s.pending - beg, beg);
}
flush_pending(strm);
beg = s.pending;
if (s.pending === s.pending_buf_size) {
val = 1;
break;
}
} // JS specific: little magic to add zero terminator to end of string
if (s.gzindex < s.gzhead.comment.length) {
val = s.gzhead.comment.charCodeAt(s.gzindex++) & 0xff;
} else {
val = 0;
}
put_byte(s, val);
} while (val !== 0);
if (s.gzhead.hcrc && s.pending > beg) {
strm.adler = crc32_1(strm.adler, s.pending_buf, s.pending - beg, beg);
}
if (val === 0) {
s.status = HCRC_STATE;
}
} else {
s.status = HCRC_STATE;
}
}
if (s.status === HCRC_STATE) {
if (s.gzhead.hcrc) {
if (s.pending + 2 > s.pending_buf_size) {
flush_pending(strm);
}
if (s.pending + 2 <= s.pending_buf_size) {
put_byte(s, strm.adler & 0xff);
put_byte(s, strm.adler >> 8 & 0xff);
strm.adler = 0; //crc32(0L, Z_NULL, 0);
s.status = BUSY_STATE;
}
} else {
s.status = BUSY_STATE;
}
} //#endif
/* Flush as much pending output as possible */
if (s.pending !== 0) {
flush_pending(strm);
if (strm.avail_out === 0) {
/* Since avail_out is 0, deflate will be called again with
* more output space, but possibly with both pending and
* avail_in equal to zero. There won't be anything to do,
* but this is not an error situation so make sure we
* return OK instead of BUF_ERROR at next call of deflate:
*/
s.last_flush = -1;
return Z_OK$3;
}
/* Make sure there is something to do and avoid duplicate consecutive
* flushes. For repeated and useless calls with Z_FINISH, we keep
* returning Z_STREAM_END instead of Z_BUF_ERROR.
*/
} else if (strm.avail_in === 0 && rank(flush) <= rank(old_flush) && flush !== Z_FINISH$3) {
return err(strm, Z_BUF_ERROR$1);
}
/* User must not provide more input after the first FINISH: */
if (s.status === FINISH_STATE && strm.avail_in !== 0) {
return err(strm, Z_BUF_ERROR$1);
}
/* Start a new block or continue the current one.
*/
if (strm.avail_in !== 0 || s.lookahead !== 0 || flush !== Z_NO_FLUSH$2 && s.status !== FINISH_STATE) {
let bstate = s.strategy === Z_HUFFMAN_ONLY ? deflate_huff(s, flush) : s.strategy === Z_RLE ? deflate_rle(s, flush) : configuration_table[s.level].func(s, flush);
if (bstate === BS_FINISH_STARTED || bstate === BS_FINISH_DONE) {
s.status = FINISH_STATE;
}
if (bstate === BS_NEED_MORE || bstate === BS_FINISH_STARTED) {
if (strm.avail_out === 0) {
s.last_flush = -1;
/* avoid BUF_ERROR next call, see above */
}
return Z_OK$3;
/* If flush != Z_NO_FLUSH && avail_out == 0, the next call
* of deflate should use the same flush parameter to make sure
* that the flush is complete. So we don't have to output an
* empty block here, this will be done at next call. This also
* ensures that for a very small output buffer, we emit at most
* one empty block.
*/
}
if (bstate === BS_BLOCK_DONE) {
if (flush === Z_PARTIAL_FLUSH) {
_tr_align(s);
} else if (flush !== Z_BLOCK$1) {
/* FULL_FLUSH or SYNC_FLUSH */
_tr_stored_block(s, 0, 0, false);
/* For a full flush, this empty block will be recognized
* as a special marker by inflate_sync().
*/
if (flush === Z_FULL_FLUSH$1) {
/*** CLEAR_HASH(s); ***/
/* forget history */
zero(s.head); // Fill with NIL (= 0);
if (s.lookahead === 0) {
s.strstart = 0;
s.block_start = 0;
s.insert = 0;
}
}
}
flush_pending(strm);
if (strm.avail_out === 0) {
s.last_flush = -1;
/* avoid BUF_ERROR at next call, see above */
return Z_OK$3;
}
}
} //Assert(strm->avail_out > 0, "bug2");
//if (strm.avail_out <= 0) { throw new Error("bug2");}
if (flush !== Z_FINISH$3) {
return Z_OK$3;
}
if (s.wrap <= 0) {
return Z_STREAM_END$3;
}
/* Write the trailer */
if (s.wrap === 2) {
put_byte(s, strm.adler & 0xff);
put_byte(s, strm.adler >> 8 & 0xff);
put_byte(s, strm.adler >> 16 & 0xff);
put_byte(s, strm.adler >> 24 & 0xff);
put_byte(s, strm.total_in & 0xff);
put_byte(s, strm.total_in >> 8 & 0xff);
put_byte(s, strm.total_in >> 16 & 0xff);
put_byte(s, strm.total_in >> 24 & 0xff);
} else {
putShortMSB(s, strm.adler >>> 16);
putShortMSB(s, strm.adler & 0xffff);
}
flush_pending(strm);
/* If avail_out is zero, the application will call deflate again
* to flush the rest.
*/
if (s.wrap > 0) {
s.wrap = -s.wrap;
}
/* write the trailer only once! */
return s.pending !== 0 ? Z_OK$3 : Z_STREAM_END$3;
};
const deflateEnd = strm => {
if (!strm
/*== Z_NULL*/
|| !strm.state
/*== Z_NULL*/
) {
return Z_STREAM_ERROR$2;
}
const status = strm.state.status;
if (status !== INIT_STATE && status !== EXTRA_STATE && status !== NAME_STATE && status !== COMMENT_STATE && status !== HCRC_STATE && status !== BUSY_STATE && status !== FINISH_STATE) {
return err(strm, Z_STREAM_ERROR$2);
}
strm.state = null;
return status === BUSY_STATE ? err(strm, Z_DATA_ERROR$2) : Z_OK$3;
};
/* =========================================================================
* Initializes the compression dictionary from the given byte
* sequence without producing any compressed output.
*/
const deflateSetDictionary = (strm, dictionary) => {
let dictLength = dictionary.length;
if (!strm
/*== Z_NULL*/
|| !strm.state
/*== Z_NULL*/
) {
return Z_STREAM_ERROR$2;
}
const s = strm.state;
const wrap = s.wrap;
if (wrap === 2 || wrap === 1 && s.status !== INIT_STATE || s.lookahead) {
return Z_STREAM_ERROR$2;
}
/* when using zlib wrappers, compute Adler-32 for provided dictionary */
if (wrap === 1) {
/* adler32(strm->adler, dictionary, dictLength); */
strm.adler = adler32_1(strm.adler, dictionary, dictLength, 0);
}
s.wrap = 0;
/* avoid computing Adler-32 in read_buf */
/* if dictionary would fill window, just replace the history */
if (dictLength >= s.w_size) {
if (wrap === 0) {
/* already empty otherwise */
/*** CLEAR_HASH(s); ***/
zero(s.head); // Fill with NIL (= 0);
s.strstart = 0;
s.block_start = 0;
s.insert = 0;
}
/* use the tail */
// dictionary = dictionary.slice(dictLength - s.w_size);
let tmpDict = new Uint8Array(s.w_size);
tmpDict.set(dictionary.subarray(dictLength - s.w_size, dictLength), 0);
dictionary = tmpDict;
dictLength = s.w_size;
}
/* insert dictionary into window and hash */
const avail = strm.avail_in;
const next = strm.next_in;
const input = strm.input;
strm.avail_in = dictLength;
strm.next_in = 0;
strm.input = dictionary;
fill_window(s);
while (s.lookahead >= MIN_MATCH) {
let str = s.strstart;
let n = s.lookahead - (MIN_MATCH - 1);
do {
/* UPDATE_HASH(s, s->ins_h, s->window[str + MIN_MATCH-1]); */
s.ins_h = HASH(s, s.ins_h, s.window[str + MIN_MATCH - 1]);
s.prev[str & s.w_mask] = s.head[s.ins_h];
s.head[s.ins_h] = str;
str++;
} while (--n);
s.strstart = str;
s.lookahead = MIN_MATCH - 1;
fill_window(s);
}
s.strstart += s.lookahead;
s.block_start = s.strstart;
s.insert = s.lookahead;
s.lookahead = 0;
s.match_length = s.prev_length = MIN_MATCH - 1;
s.match_available = 0;
strm.next_in = next;
strm.input = input;
strm.avail_in = avail;
s.wrap = wrap;
return Z_OK$3;
};
var deflateInit_1 = deflateInit;
var deflateInit2_1 = deflateInit2;
var deflateReset_1 = deflateReset;
var deflateResetKeep_1 = deflateResetKeep;
var deflateSetHeader_1 = deflateSetHeader;
var deflate_2$1 = deflate$2;
var deflateEnd_1 = deflateEnd;
var deflateSetDictionary_1 = deflateSetDictionary;
var deflateInfo = 'pako deflate (from Nodeca project)';
/* Not implemented
module.exports.deflateBound = deflateBound;
module.exports.deflateCopy = deflateCopy;
module.exports.deflateParams = deflateParams;
module.exports.deflatePending = deflatePending;
module.exports.deflatePrime = deflatePrime;
module.exports.deflateTune = deflateTune;
*/
var deflate_1$2 = {
deflateInit: deflateInit_1,
deflateInit2: deflateInit2_1,
deflateReset: deflateReset_1,
deflateResetKeep: deflateResetKeep_1,
deflateSetHeader: deflateSetHeader_1,
deflate: deflate_2$1,
deflateEnd: deflateEnd_1,
deflateSetDictionary: deflateSetDictionary_1,
deflateInfo: deflateInfo
};
const _has = (obj, key) => {
return Object.prototype.hasOwnProperty.call(obj, key);
};
var assign = function (obj
/*from1, from2, from3, ...*/
) {
const sources = Array.prototype.slice.call(arguments, 1);
while (sources.length) {
const source = sources.shift();
if (!source) {
continue;
}
if (typeof source !== 'object') {
throw new TypeError(source + 'must be non-object');
}
for (const p in source) {
if (_has(source, p)) {
obj[p] = source[p];
}
}
}
return obj;
}; // Join array of chunks to single array.
var flattenChunks = chunks => {
// calculate data length
let len = 0;
for (let i = 0, l = chunks.length; i < l; i++) {
len += chunks[i].length;
} // join chunks
const result = new Uint8Array(len);
for (let i = 0, pos = 0, l = chunks.length; i < l; i++) {
let chunk = chunks[i];
result.set(chunk, pos);
pos += chunk.length;
}
return result;
};
var common = {
assign: assign,
flattenChunks: flattenChunks
}; // String encode/decode helpers
// Quick check if we can use fast array to bin string conversion
//
// - apply(Array) can fail on Android 2.2
// - apply(Uint8Array) can fail on iOS 5.1 Safari
//
let STR_APPLY_UIA_OK = true;
try {
String.fromCharCode.apply(null, new Uint8Array(1));
} catch (__) {
STR_APPLY_UIA_OK = false;
} // Table with utf8 lengths (calculated by first byte of sequence)
// Note, that 5 & 6-byte values and some 4-byte values can not be represented in JS,
// because max possible codepoint is 0x10ffff
const _utf8len = new Uint8Array(256);
for (let q = 0; q < 256; q++) {
_utf8len[q] = q >= 252 ? 6 : q >= 248 ? 5 : q >= 240 ? 4 : q >= 224 ? 3 : q >= 192 ? 2 : 1;
}
_utf8len[254] = _utf8len[254] = 1; // Invalid sequence start
// convert string to array (typed, when possible)
var string2buf = str => {
if (typeof TextEncoder === 'function' && TextEncoder.prototype.encode) {
return new TextEncoder().encode(str);
}
let buf,
c,
c2,
m_pos,
i,
str_len = str.length,
buf_len = 0; // count binary size
for (m_pos = 0; m_pos < str_len; m_pos++) {
c = str.charCodeAt(m_pos);
if ((c & 0xfc00) === 0xd800 && m_pos + 1 < str_len) {
c2 = str.charCodeAt(m_pos + 1);
if ((c2 & 0xfc00) === 0xdc00) {
c = 0x10000 + (c - 0xd800 << 10) + (c2 - 0xdc00);
m_pos++;
}
}
buf_len += c < 0x80 ? 1 : c < 0x800 ? 2 : c < 0x10000 ? 3 : 4;
} // allocate buffer
buf = new Uint8Array(buf_len); // convert
for (i = 0, m_pos = 0; i < buf_len; m_pos++) {
c = str.charCodeAt(m_pos);
if ((c & 0xfc00) === 0xd800 && m_pos + 1 < str_len) {
c2 = str.charCodeAt(m_pos + 1);
if ((c2 & 0xfc00) === 0xdc00) {
c = 0x10000 + (c - 0xd800 << 10) + (c2 - 0xdc00);
m_pos++;
}
}
if (c < 0x80) {
/* one byte */
buf[i++] = c;
} else if (c < 0x800) {
/* two bytes */
buf[i++] = 0xC0 | c >>> 6;
buf[i++] = 0x80 | c & 0x3f;
} else if (c < 0x10000) {
/* three bytes */
buf[i++] = 0xE0 | c >>> 12;
buf[i++] = 0x80 | c >>> 6 & 0x3f;
buf[i++] = 0x80 | c & 0x3f;
} else {
/* four bytes */
buf[i++] = 0xf0 | c >>> 18;
buf[i++] = 0x80 | c >>> 12 & 0x3f;
buf[i++] = 0x80 | c >>> 6 & 0x3f;
buf[i++] = 0x80 | c & 0x3f;
}
}
return buf;
}; // Helper
const buf2binstring = (buf, len) => {
// On Chrome, the arguments in a function call that are allowed is `65534`.
// If the length of the buffer is smaller than that, we can use this optimization,
// otherwise we will take a slower path.
if (len < 65534) {
if (buf.subarray && STR_APPLY_UIA_OK) {
return String.fromCharCode.apply(null, buf.length === len ? buf : buf.subarray(0, len));
}
}
let result = '';
for (let i = 0; i < len; i++) {
result += String.fromCharCode(buf[i]);
}
return result;
}; // convert array to string
var buf2string = (buf, max) => {
const len = max || buf.length;
if (typeof TextDecoder === 'function' && TextDecoder.prototype.decode) {
return new TextDecoder().decode(buf.subarray(0, max));
}
let i, out; // Reserve max possible length (2 words per char)
// NB: by unknown reasons, Array is significantly faster for
// String.fromCharCode.apply than Uint16Array.
const utf16buf = new Array(len * 2);
for (out = 0, i = 0; i < len;) {
let c = buf[i++]; // quick process ascii
if (c < 0x80) {
utf16buf[out++] = c;
continue;
}
let c_len = _utf8len[c]; // skip 5 & 6 byte codes
if (c_len > 4) {
utf16buf[out++] = 0xfffd;
i += c_len - 1;
continue;
} // apply mask on first byte
c &= c_len === 2 ? 0x1f : c_len === 3 ? 0x0f : 0x07; // join the rest
while (c_len > 1 && i < len) {
c = c << 6 | buf[i++] & 0x3f;
c_len--;
} // terminated by end of string?
if (c_len > 1) {
utf16buf[out++] = 0xfffd;
continue;
}
if (c < 0x10000) {
utf16buf[out++] = c;
} else {
c -= 0x10000;
utf16buf[out++] = 0xd800 | c >> 10 & 0x3ff;
utf16buf[out++] = 0xdc00 | c & 0x3ff;
}
}
return buf2binstring(utf16buf, out);
}; // Calculate max possible position in utf8 buffer,
// that will not break sequence. If that's not possible
// - (very small limits) return max size as is.
//
// buf[] - utf8 bytes array
// max - length limit (mandatory);
var utf8border = (buf, max) => {
max = max || buf.length;
if (max > buf.length) {
max = buf.length;
} // go back from last position, until start of sequence found
let pos = max - 1;
while (pos >= 0 && (buf[pos] & 0xC0) === 0x80) {
pos--;
} // Very small and broken sequence,
// return max, because we should return something anyway.
if (pos < 0) {
return max;
} // If we came to start of buffer - that means buffer is too small,
// return max too.
if (pos === 0) {
return max;
}
return pos + _utf8len[buf[pos]] > max ? pos : max;
};
var strings = {
string2buf: string2buf,
buf2string: buf2string,
utf8border: utf8border
}; // (C) 1995-2013 Jean-loup Gailly and Mark Adler
// (C) 2014-2017 Vitaly Puzrin and Andrey Tupitsin
//
// This software is provided 'as-is', without any express or implied
// warranty. In no event will the authors be held liable for any damages
// arising from the use of this software.
//
// Permission is granted to anyone to use this software for any purpose,
// including commercial applications, and to alter it and redistribute it
// freely, subject to the following restrictions:
//
// 1. The origin of this software must not be misrepresented; you must not
// claim that you wrote the original software. If you use this software
// in a product, an acknowledgment in the product documentation would be
// appreciated but is not required.
// 2. Altered source versions must be plainly marked as such, and must not be
// misrepresented as being the original software.
// 3. This notice may not be removed or altered from any source distribution.
function ZStream() {
/* next input byte */
this.input = null; // JS specific, because we have no pointers
this.next_in = 0;
/* number of bytes available at input */
this.avail_in = 0;
/* total number of input bytes read so far */
this.total_in = 0;
/* next output byte should be put there */
this.output = null; // JS specific, because we have no pointers
this.next_out = 0;
/* remaining free space at output */
this.avail_out = 0;
/* total number of bytes output so far */
this.total_out = 0;
/* last error message, NULL if no error */
this.msg = ''
/*Z_NULL*/
;
/* not visible by applications */
this.state = null;
/* best guess about the data type: binary or text */
this.data_type = 2
/*Z_UNKNOWN*/
;
/* adler32 value of the uncompressed data */
this.adler = 0;
}
var zstream = ZStream;
const toString$1$1 = Object.prototype.toString;
/* Public constants ==========================================================*/
/* ===========================================================================*/
const {
Z_NO_FLUSH: Z_NO_FLUSH$1,
Z_SYNC_FLUSH,
Z_FULL_FLUSH,
Z_FINISH: Z_FINISH$2,
Z_OK: Z_OK$2,
Z_STREAM_END: Z_STREAM_END$2,
Z_DEFAULT_COMPRESSION,
Z_DEFAULT_STRATEGY,
Z_DEFLATED: Z_DEFLATED$1
} = constants$2;
/* ===========================================================================*/
/**
* class Deflate
*
* Generic JS-style wrapper for zlib calls. If you don't need
* streaming behaviour - use more simple functions: [[deflate]],
* [[deflateRaw]] and [[gzip]].
**/
/* internal
* Deflate.chunks -> Array
*
* Chunks of output data, if [[Deflate#onData]] not overridden.
**/
/**
* Deflate.result -> Uint8Array
*
* Compressed result, generated by default [[Deflate#onData]]
* and [[Deflate#onEnd]] handlers. Filled after you push last chunk
* (call [[Deflate#push]] with `Z_FINISH` / `true` param).
**/
/**
* Deflate.err -> Number
*
* Error code after deflate finished. 0 (Z_OK) on success.
* You will not need it in real life, because deflate errors
* are possible only on wrong options or bad `onData` / `onEnd`
* custom handlers.
**/
/**
* Deflate.msg -> String
*
* Error message, if [[Deflate.err]] != 0
**/
/**
* new Deflate(options)
* - options (Object): zlib deflate options.
*
* Creates new deflator instance with specified params. Throws exception
* on bad params. Supported options:
*
* - `level`
* - `windowBits`
* - `memLevel`
* - `strategy`
* - `dictionary`
*
* [http://zlib.net/manual.html#Advanced](http://zlib.net/manual.html#Advanced)
* for more information on these.
*
* Additional options, for internal needs:
*
* - `chunkSize` - size of generated data chunks (16K by default)
* - `raw` (Boolean) - do raw deflate
* - `gzip` (Boolean) - create gzip wrapper
* - `header` (Object) - custom header for gzip
* - `text` (Boolean) - true if compressed data believed to be text
* - `time` (Number) - modification time, unix timestamp
* - `os` (Number) - operation system code
* - `extra` (Array) - array of bytes with extra data (max 65536)
* - `name` (String) - file name (binary string)
* - `comment` (String) - comment (binary string)
* - `hcrc` (Boolean) - true if header crc should be added
*
* ##### Example:
*
* ```javascript
* const pako = require('pako')
* , chunk1 = new Uint8Array([1,2,3,4,5,6,7,8,9])
* , chunk2 = new Uint8Array([10,11,12,13,14,15,16,17,18,19]);
*
* const deflate = new pako.Deflate({ level: 3});
*
* deflate.push(chunk1, false);
* deflate.push(chunk2, true); // true -> last chunk
*
* if (deflate.err) { throw new Error(deflate.err); }
*
* console.log(deflate.result);
* ```
**/
function Deflate$1(options) {
this.options = common.assign({
level: Z_DEFAULT_COMPRESSION,
method: Z_DEFLATED$1,
chunkSize: 16384,
windowBits: 15,
memLevel: 8,
strategy: Z_DEFAULT_STRATEGY
}, options || {});
let opt = this.options;
if (opt.raw && opt.windowBits > 0) {
opt.windowBits = -opt.windowBits;
} else if (opt.gzip && opt.windowBits > 0 && opt.windowBits < 16) {
opt.windowBits += 16;
}
this.err = 0; // error code, if happens (0 = Z_OK)
this.msg = ''; // error message
this.ended = false; // used to avoid multiple onEnd() calls
this.chunks = []; // chunks of compressed data
this.strm = new zstream();
this.strm.avail_out = 0;
let status = deflate_1$2.deflateInit2(this.strm, opt.level, opt.method, opt.windowBits, opt.memLevel, opt.strategy);
if (status !== Z_OK$2) {
throw new Error(messages[status]);
}
if (opt.header) {
deflate_1$2.deflateSetHeader(this.strm, opt.header);
}
if (opt.dictionary) {
let dict; // Convert data if needed
if (typeof opt.dictionary === 'string') {
// If we need to compress text, change encoding to utf8.
dict = strings.string2buf(opt.dictionary);
} else if (toString$1$1.call(opt.dictionary) === '[object ArrayBuffer]') {
dict = new Uint8Array(opt.dictionary);
} else {
dict = opt.dictionary;
}
status = deflate_1$2.deflateSetDictionary(this.strm, dict);
if (status !== Z_OK$2) {
throw new Error(messages[status]);
}
this._dict_set = true;
}
}
/**
* Deflate#push(data[, flush_mode]) -> Boolean
* - data (Uint8Array|ArrayBuffer|String): input data. Strings will be
* converted to utf8 byte sequence.
* - flush_mode (Number|Boolean): 0..6 for corresponding Z_NO_FLUSH..Z_TREE modes.
* See constants. Skipped or `false` means Z_NO_FLUSH, `true` means Z_FINISH.
*
* Sends input data to deflate pipe, generating [[Deflate#onData]] calls with
* new compressed chunks. Returns `true` on success. The last data block must
* have `flush_mode` Z_FINISH (or `true`). That will flush internal pending
* buffers and call [[Deflate#onEnd]].
*
* On fail call [[Deflate#onEnd]] with error code and return false.
*
* ##### Example
*
* ```javascript
* push(chunk, false); // push one of data chunks
* ...
* push(chunk, true); // push last chunk
* ```
**/
Deflate$1.prototype.push = function (data, flush_mode) {
const strm = this.strm;
const chunkSize = this.options.chunkSize;
let status, _flush_mode;
if (this.ended) {
return false;
}
if (flush_mode === ~~flush_mode) _flush_mode = flush_mode;else _flush_mode = flush_mode === true ? Z_FINISH$2 : Z_NO_FLUSH$1; // Convert data if needed
if (typeof data === 'string') {
// If we need to compress text, change encoding to utf8.
strm.input = strings.string2buf(data);
} else if (toString$1$1.call(data) === '[object ArrayBuffer]') {
strm.input = new Uint8Array(data);
} else {
strm.input = data;
}
strm.next_in = 0;
strm.avail_in = strm.input.length;
for (;;) {
if (strm.avail_out === 0) {
strm.output = new Uint8Array(chunkSize);
strm.next_out = 0;
strm.avail_out = chunkSize;
} // Make sure avail_out > 6 to avoid repeating markers
if ((_flush_mode === Z_SYNC_FLUSH || _flush_mode === Z_FULL_FLUSH) && strm.avail_out <= 6) {
this.onData(strm.output.subarray(0, strm.next_out));
strm.avail_out = 0;
continue;
}
status = deflate_1$2.deflate(strm, _flush_mode); // Ended => flush and finish
if (status === Z_STREAM_END$2) {
if (strm.next_out > 0) {
this.onData(strm.output.subarray(0, strm.next_out));
}
status = deflate_1$2.deflateEnd(this.strm);
this.onEnd(status);
this.ended = true;
return status === Z_OK$2;
} // Flush if out buffer full
if (strm.avail_out === 0) {
this.onData(strm.output);
continue;
} // Flush if requested and has data
if (_flush_mode > 0 && strm.next_out > 0) {
this.onData(strm.output.subarray(0, strm.next_out));
strm.avail_out = 0;
continue;
}
if (strm.avail_in === 0) break;
}
return true;
};
/**
* Deflate#onData(chunk) -> Void
* - chunk (Uint8Array): output data.
*
* By default, stores data blocks in `chunks[]` property and glue
* those in `onEnd`. Override this handler, if you need another behaviour.
**/
Deflate$1.prototype.onData = function (chunk) {
this.chunks.push(chunk);
};
/**
* Deflate#onEnd(status) -> Void
* - status (Number): deflate status. 0 (Z_OK) on success,
* other if not.
*
* Called once after you tell deflate that the input stream is
* complete (Z_FINISH). By default - join collected chunks,
* free memory and fill `results` / `err` properties.
**/
Deflate$1.prototype.onEnd = function (status) {
// On success - join
if (status === Z_OK$2) {
this.result = common.flattenChunks(this.chunks);
}
this.chunks = [];
this.err = status;
this.msg = this.strm.msg;
};
/**
* deflate(data[, options]) -> Uint8Array
* - data (Uint8Array|String): input data to compress.
* - options (Object): zlib deflate options.
*
* Compress `data` with deflate algorithm and `options`.
*
* Supported options are:
*
* - level
* - windowBits
* - memLevel
* - strategy
* - dictionary
*
* [http://zlib.net/manual.html#Advanced](http://zlib.net/manual.html#Advanced)
* for more information on these.
*
* Sugar (options):
*
* - `raw` (Boolean) - say that we work with raw stream, if you don't wish to specify
* negative windowBits implicitly.
*
* ##### Example:
*
* ```javascript
* const pako = require('pako')
* const data = new Uint8Array([1,2,3,4,5,6,7,8,9]);
*
* console.log(pako.deflate(data));
* ```
**/
function deflate$1(input, options) {
const deflator = new Deflate$1(options);
deflator.push(input, true); // That will never happens, if you don't cheat with options :)
if (deflator.err) {
throw deflator.msg || messages[deflator.err];
}
return deflator.result;
}
/**
* deflateRaw(data[, options]) -> Uint8Array
* - data (Uint8Array|String): input data to compress.
* - options (Object): zlib deflate options.
*
* The same as [[deflate]], but creates raw data, without wrapper
* (header and adler32 crc).
**/
function deflateRaw$1(input, options) {
options = options || {};
options.raw = true;
return deflate$1(input, options);
}
/**
* gzip(data[, options]) -> Uint8Array
* - data (Uint8Array|String): input data to compress.
* - options (Object): zlib deflate options.
*
* The same as [[deflate]], but create gzip wrapper instead of
* deflate one.
**/
function gzip$1(input, options) {
options = options || {};
options.gzip = true;
return deflate$1(input, options);
}
var Deflate_1$1 = Deflate$1;
var deflate_2 = deflate$1;
var deflateRaw_1$1 = deflateRaw$1;
var gzip_1$1 = gzip$1;
var constants$1 = constants$2;
var deflate_1$1 = {
Deflate: Deflate_1$1,
deflate: deflate_2,
deflateRaw: deflateRaw_1$1,
gzip: gzip_1$1,
constants: constants$1
}; // (C) 1995-2013 Jean-loup Gailly and Mark Adler
// (C) 2014-2017 Vitaly Puzrin and Andrey Tupitsin
//
// This software is provided 'as-is', without any express or implied
// warranty. In no event will the authors be held liable for any damages
// arising from the use of this software.
//
// Permission is granted to anyone to use this software for any purpose,
// including commercial applications, and to alter it and redistribute it
// freely, subject to the following restrictions:
//
// 1. The origin of this software must not be misrepresented; you must not
// claim that you wrote the original software. If you use this software
// in a product, an acknowledgment in the product documentation would be
// appreciated but is not required.
// 2. Altered source versions must be plainly marked as such, and must not be
// misrepresented as being the original software.
// 3. This notice may not be removed or altered from any source distribution.
// See state defs from inflate.js
const BAD$1 = 30;
/* got a data error -- remain here until reset */
const TYPE$1 = 12;
/* i: waiting for type bits, including last-flag bit */
/*
Decode literal, length, and distance codes and write out the resulting
literal and match bytes until either not enough input or output is
available, an end-of-block is encountered, or a data error is encountered.
When large enough input and output buffers are supplied to inflate(), for
example, a 16K input buffer and a 64K output buffer, more than 95% of the
inflate execution time is spent in this routine.
Entry assumptions:
state.mode === LEN
strm.avail_in >= 6
strm.avail_out >= 258
start >= strm.avail_out
state.bits < 8
On return, state.mode is one of:
LEN -- ran out of enough output space or enough available input
TYPE -- reached end of block code, inflate() to interpret next block
BAD -- error in block data
Notes:
- The maximum input bits used by a length/distance pair is 15 bits for the
length code, 5 bits for the length extra, 15 bits for the distance code,
and 13 bits for the distance extra. This totals 48 bits, or six bytes.
Therefore if strm.avail_in >= 6, then there is enough input to avoid
checking for available input while decoding.
- The maximum bytes that a single length/distance pair can output is 258
bytes, which is the maximum length that can be coded. inflate_fast()
requires strm.avail_out >= 258 for each loop to avoid checking for
output space.
*/
var inffast = function inflate_fast(strm, start) {
let _in;
/* local strm.input */
let last;
/* have enough input while in < last */
let _out;
/* local strm.output */
let beg;
/* inflate()'s initial strm.output */
let end;
/* while out < end, enough space available */
//#ifdef INFLATE_STRICT
let dmax;
/* maximum distance from zlib header */
//#endif
let wsize;
/* window size or zero if not using window */
let whave;
/* valid bytes in the window */
let wnext;
/* window write index */
// Use `s_window` instead `window`, avoid conflict with instrumentation tools
let s_window;
/* allocated sliding window, if wsize != 0 */
let hold;
/* local strm.hold */
let bits;
/* local strm.bits */
let lcode;
/* local strm.lencode */
let dcode;
/* local strm.distcode */
let lmask;
/* mask for first level of length codes */
let dmask;
/* mask for first level of distance codes */
let here;
/* retrieved table entry */
let op;
/* code bits, operation, extra bits, or */
/* window position, window bytes to copy */
let len;
/* match length, unused bytes */
let dist;
/* match distance */
let from;
/* where to copy match from */
let from_source;
let input, output; // JS specific, because we have no pointers
/* copy state to local variables */
const state = strm.state; //here = state.here;
_in = strm.next_in;
input = strm.input;
last = _in + (strm.avail_in - 5);
_out = strm.next_out;
output = strm.output;
beg = _out - (start - strm.avail_out);
end = _out + (strm.avail_out - 257); //#ifdef INFLATE_STRICT
dmax = state.dmax; //#endif
wsize = state.wsize;
whave = state.whave;
wnext = state.wnext;
s_window = state.window;
hold = state.hold;
bits = state.bits;
lcode = state.lencode;
dcode = state.distcode;
lmask = (1 << state.lenbits) - 1;
dmask = (1 << state.distbits) - 1;
/* decode literals and length/distances until end-of-block or not enough
input data or output space */
top: do {
if (bits < 15) {
hold += input[_in++] << bits;
bits += 8;
hold += input[_in++] << bits;
bits += 8;
}
here = lcode[hold & lmask];
dolen: for (;;) {
// Goto emulation
op = here >>> 24
/*here.bits*/
;
hold >>>= op;
bits -= op;
op = here >>> 16 & 0xff
/*here.op*/
;
if (op === 0) {
/* literal */
//Tracevv((stderr, here.val >= 0x20 && here.val < 0x7f ?
// "inflate: literal '%c'\n" :
// "inflate: literal 0x%02x\n", here.val));
output[_out++] = here & 0xffff
/*here.val*/
;
} else if (op & 16) {
/* length base */
len = here & 0xffff
/*here.val*/
;
op &= 15;
/* number of extra bits */
if (op) {
if (bits < op) {
hold += input[_in++] << bits;
bits += 8;
}
len += hold & (1 << op) - 1;
hold >>>= op;
bits -= op;
} //Tracevv((stderr, "inflate: length %u\n", len));
if (bits < 15) {
hold += input[_in++] << bits;
bits += 8;
hold += input[_in++] << bits;
bits += 8;
}
here = dcode[hold & dmask];
dodist: for (;;) {
// goto emulation
op = here >>> 24
/*here.bits*/
;
hold >>>= op;
bits -= op;
op = here >>> 16 & 0xff
/*here.op*/
;
if (op & 16) {
/* distance base */
dist = here & 0xffff
/*here.val*/
;
op &= 15;
/* number of extra bits */
if (bits < op) {
hold += input[_in++] << bits;
bits += 8;
if (bits < op) {
hold += input[_in++] << bits;
bits += 8;
}
}
dist += hold & (1 << op) - 1; //#ifdef INFLATE_STRICT
if (dist > dmax) {
strm.msg = 'invalid distance too far back';
state.mode = BAD$1;
break top;
} //#endif
hold >>>= op;
bits -= op; //Tracevv((stderr, "inflate: distance %u\n", dist));
op = _out - beg;
/* max distance in output */
if (dist > op) {
/* see if copy from window */
op = dist - op;
/* distance back in window */
if (op > whave) {
if (state.sane) {
strm.msg = 'invalid distance too far back';
state.mode = BAD$1;
break top;
} // (!) This block is disabled in zlib defaults,
// don't enable it for binary compatibility
//#ifdef INFLATE_ALLOW_INVALID_DISTANCE_TOOFAR_ARRR
// if (len <= op - whave) {
// do {
// output[_out++] = 0;
// } while (--len);
// continue top;
// }
// len -= op - whave;
// do {
// output[_out++] = 0;
// } while (--op > whave);
// if (op === 0) {
// from = _out - dist;
// do {
// output[_out++] = output[from++];
// } while (--len);
// continue top;
// }
//#endif
}
from = 0; // window index
from_source = s_window;
if (wnext === 0) {
/* very common case */
from += wsize - op;
if (op < len) {
/* some from window */
len -= op;
do {
output[_out++] = s_window[from++];
} while (--op);
from = _out - dist;
/* rest from output */
from_source = output;
}
} else if (wnext < op) {
/* wrap around window */
from += wsize + wnext - op;
op -= wnext;
if (op < len) {
/* some from end of window */
len -= op;
do {
output[_out++] = s_window[from++];
} while (--op);
from = 0;
if (wnext < len) {
/* some from start of window */
op = wnext;
len -= op;
do {
output[_out++] = s_window[from++];
} while (--op);
from = _out - dist;
/* rest from output */
from_source = output;
}
}
} else {
/* contiguous in window */
from += wnext - op;
if (op < len) {
/* some from window */
len -= op;
do {
output[_out++] = s_window[from++];
} while (--op);
from = _out - dist;
/* rest from output */
from_source = output;
}
}
while (len > 2) {
output[_out++] = from_source[from++];
output[_out++] = from_source[from++];
output[_out++] = from_source[from++];
len -= 3;
}
if (len) {
output[_out++] = from_source[from++];
if (len > 1) {
output[_out++] = from_source[from++];
}
}
} else {
from = _out - dist;
/* copy direct from output */
do {
/* minimum length is three */
output[_out++] = output[from++];
output[_out++] = output[from++];
output[_out++] = output[from++];
len -= 3;
} while (len > 2);
if (len) {
output[_out++] = output[from++];
if (len > 1) {
output[_out++] = output[from++];
}
}
}
} else if ((op & 64) === 0) {
/* 2nd level distance code */
here = dcode[(here & 0xffff
/*here.val*/
) + (hold & (1 << op) - 1)];
continue dodist;
} else {
strm.msg = 'invalid distance code';
state.mode = BAD$1;
break top;
}
break; // need to emulate goto via "continue"
}
} else if ((op & 64) === 0) {
/* 2nd level length code */
here = lcode[(here & 0xffff
/*here.val*/
) + (hold & (1 << op) - 1)];
continue dolen;
} else if (op & 32) {
/* end-of-block */
//Tracevv((stderr, "inflate: end of block\n"));
state.mode = TYPE$1;
break top;
} else {
strm.msg = 'invalid literal/length code';
state.mode = BAD$1;
break top;
}
break; // need to emulate goto via "continue"
}
} while (_in < last && _out < end);
/* return unused bytes (on entry, bits < 8, so in won't go too far back) */
len = bits >> 3;
_in -= len;
bits -= len << 3;
hold &= (1 << bits) - 1;
/* update state and return */
strm.next_in = _in;
strm.next_out = _out;
strm.avail_in = _in < last ? 5 + (last - _in) : 5 - (_in - last);
strm.avail_out = _out < end ? 257 + (end - _out) : 257 - (_out - end);
state.hold = hold;
state.bits = bits;
return;
}; // (C) 1995-2013 Jean-loup Gailly and Mark Adler
// (C) 2014-2017 Vitaly Puzrin and Andrey Tupitsin
//
// This software is provided 'as-is', without any express or implied
// warranty. In no event will the authors be held liable for any damages
// arising from the use of this software.
//
// Permission is granted to anyone to use this software for any purpose,
// including commercial applications, and to alter it and redistribute it
// freely, subject to the following restrictions:
//
// 1. The origin of this software must not be misrepresented; you must not
// claim that you wrote the original software. If you use this software
// in a product, an acknowledgment in the product documentation would be
// appreciated but is not required.
// 2. Altered source versions must be plainly marked as such, and must not be
// misrepresented as being the original software.
// 3. This notice may not be removed or altered from any source distribution.
const MAXBITS = 15;
const ENOUGH_LENS$1 = 852;
const ENOUGH_DISTS$1 = 592; //const ENOUGH = (ENOUGH_LENS+ENOUGH_DISTS);
const CODES$1 = 0;
const LENS$1 = 1;
const DISTS$1 = 2;
const lbase = new Uint16Array([
/* Length codes 257..285 base */
3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 15, 17, 19, 23, 27, 31, 35, 43, 51, 59, 67, 83, 99, 115, 131, 163, 195, 227, 258, 0, 0]);
const lext = new Uint8Array([
/* Length codes 257..285 extra */
16, 16, 16, 16, 16, 16, 16, 16, 17, 17, 17, 17, 18, 18, 18, 18, 19, 19, 19, 19, 20, 20, 20, 20, 21, 21, 21, 21, 16, 72, 78]);
const dbase = new Uint16Array([
/* Distance codes 0..29 base */
1, 2, 3, 4, 5, 7, 9, 13, 17, 25, 33, 49, 65, 97, 129, 193, 257, 385, 513, 769, 1025, 1537, 2049, 3073, 4097, 6145, 8193, 12289, 16385, 24577, 0, 0]);
const dext = new Uint8Array([
/* Distance codes 0..29 extra */
16, 16, 16, 16, 17, 17, 18, 18, 19, 19, 20, 20, 21, 21, 22, 22, 23, 23, 24, 24, 25, 25, 26, 26, 27, 27, 28, 28, 29, 29, 64, 64]);
const inflate_table = (type, lens, lens_index, codes, table, table_index, work, opts) => {
const bits = opts.bits; //here = opts.here; /* table entry for duplication */
let len = 0;
/* a code's length in bits */
let sym = 0;
/* index of code symbols */
let min = 0,
max = 0;
/* minimum and maximum code lengths */
let root = 0;
/* number of index bits for root table */
let curr = 0;
/* number of index bits for current table */
let drop = 0;
/* code bits to drop for sub-table */
let left = 0;
/* number of prefix codes available */
let used = 0;
/* code entries in table used */
let huff = 0;
/* Huffman code */
let incr;
/* for incrementing code, index */
let fill;
/* index for replicating entries */
let low;
/* low bits for current root entry */
let mask;
/* mask for low root bits */
let next;
/* next available space in table */
let base = null;
/* base value table to use */
let base_index = 0; // let shoextra; /* extra bits table to use */
let end;
/* use base and extra for symbol > end */
const count = new Uint16Array(MAXBITS + 1); //[MAXBITS+1]; /* number of codes of each length */
const offs = new Uint16Array(MAXBITS + 1); //[MAXBITS+1]; /* offsets in table for each length */
let extra = null;
let extra_index = 0;
let here_bits, here_op, here_val;
/*
Process a set of code lengths to create a canonical Huffman code. The
code lengths are lens[0..codes-1]. Each length corresponds to the
symbols 0..codes-1. The Huffman code is generated by first sorting the
symbols by length from short to long, and retaining the symbol order
for codes with equal lengths. Then the code starts with all zero bits
for the first code of the shortest length, and the codes are integer
increments for the same length, and zeros are appended as the length
increases. For the deflate format, these bits are stored backwards
from their more natural integer increment ordering, and so when the
decoding tables are built in the large loop below, the integer codes
are incremented backwards.
This routine assumes, but does not check, that all of the entries in
lens[] are in the range 0..MAXBITS. The caller must assure this.
1..MAXBITS is interpreted as that code length. zero means that that
symbol does not occur in this code.
The codes are sorted by computing a count of codes for each length,
creating from that a table of starting indices for each length in the
sorted table, and then entering the symbols in order in the sorted
table. The sorted table is work[], with that space being provided by
the caller.
The length counts are used for other purposes as well, i.e. finding
the minimum and maximum length codes, determining if there are any
codes at all, checking for a valid set of lengths, and looking ahead
at length counts to determine sub-table sizes when building the
decoding tables.
*/
/* accumulate lengths for codes (assumes lens[] all in 0..MAXBITS) */
for (len = 0; len <= MAXBITS; len++) {
count[len] = 0;
}
for (sym = 0; sym < codes; sym++) {
count[lens[lens_index + sym]]++;
}
/* bound code lengths, force root to be within code lengths */
root = bits;
for (max = MAXBITS; max >= 1; max--) {
if (count[max] !== 0) {
break;
}
}
if (root > max) {
root = max;
}
if (max === 0) {
/* no symbols to code at all */
//table.op[opts.table_index] = 64; //here.op = (var char)64; /* invalid code marker */
//table.bits[opts.table_index] = 1; //here.bits = (var char)1;
//table.val[opts.table_index++] = 0; //here.val = (var short)0;
table[table_index++] = 1 << 24 | 64 << 16 | 0; //table.op[opts.table_index] = 64;
//table.bits[opts.table_index] = 1;
//table.val[opts.table_index++] = 0;
table[table_index++] = 1 << 24 | 64 << 16 | 0;
opts.bits = 1;
return 0;
/* no symbols, but wait for decoding to report error */
}
for (min = 1; min < max; min++) {
if (count[min] !== 0) {
break;
}
}
if (root < min) {
root = min;
}
/* check for an over-subscribed or incomplete set of lengths */
left = 1;
for (len = 1; len <= MAXBITS; len++) {
left <<= 1;
left -= count[len];
if (left < 0) {
return -1;
}
/* over-subscribed */
}
if (left > 0 && (type === CODES$1 || max !== 1)) {
return -1;
/* incomplete set */
}
/* generate offsets into symbol table for each length for sorting */
offs[1] = 0;
for (len = 1; len < MAXBITS; len++) {
offs[len + 1] = offs[len] + count[len];
}
/* sort symbols by length, by symbol order within each length */
for (sym = 0; sym < codes; sym++) {
if (lens[lens_index + sym] !== 0) {
work[offs[lens[lens_index + sym]]++] = sym;
}
}
/*
Create and fill in decoding tables. In this loop, the table being
filled is at next and has curr index bits. The code being used is huff
with length len. That code is converted to an index by dropping drop
bits off of the bottom. For codes where len is less than drop + curr,
those top drop + curr - len bits are incremented through all values to
fill the table with replicated entries.
root is the number of index bits for the root table. When len exceeds
root, sub-tables are created pointed to by the root entry with an index
of the low root bits of huff. This is saved in low to check for when a
new sub-table should be started. drop is zero when the root table is
being filled, and drop is root when sub-tables are being filled.
When a new sub-table is needed, it is necessary to look ahead in the
code lengths to determine what size sub-table is needed. The length
counts are used for this, and so count[] is decremented as codes are
entered in the tables.
used keeps track of how many table entries have been allocated from the
provided *table space. It is checked for LENS and DIST tables against
the constants ENOUGH_LENS and ENOUGH_DISTS to guard against changes in
the initial root table size constants. See the comments in inftrees.h
for more information.
sym increments through all symbols, and the loop terminates when
all codes of length max, i.e. all codes, have been processed. This
routine permits incomplete codes, so another loop after this one fills
in the rest of the decoding tables with invalid code markers.
*/
/* set up for code type */
// poor man optimization - use if-else instead of switch,
// to avoid deopts in old v8
if (type === CODES$1) {
base = extra = work;
/* dummy value--not used */
end = 19;
} else if (type === LENS$1) {
base = lbase;
base_index -= 257;
extra = lext;
extra_index -= 257;
end = 256;
} else {
/* DISTS */
base = dbase;
extra = dext;
end = -1;
}
/* initialize opts for loop */
huff = 0;
/* starting code */
sym = 0;
/* starting code symbol */
len = min;
/* starting code length */
next = table_index;
/* current table to fill in */
curr = root;
/* current table index bits */
drop = 0;
/* current bits to drop from code for index */
low = -1;
/* trigger new sub-table when len > root */
used = 1 << root;
/* use root table entries */
mask = used - 1;
/* mask for comparing low */
/* check available table space */
if (type === LENS$1 && used > ENOUGH_LENS$1 || type === DISTS$1 && used > ENOUGH_DISTS$1) {
return 1;
}
/* process all codes and make table entries */
for (;;) {
/* create table entry */
here_bits = len - drop;
if (work[sym] < end) {
here_op = 0;
here_val = work[sym];
} else if (work[sym] > end) {
here_op = extra[extra_index + work[sym]];
here_val = base[base_index + work[sym]];
} else {
here_op = 32 + 64;
/* end of block */
here_val = 0;
}
/* replicate for those indices with low len bits equal to huff */
incr = 1 << len - drop;
fill = 1 << curr;
min = fill;
/* save offset to next table */
do {
fill -= incr;
table[next + (huff >> drop) + fill] = here_bits << 24 | here_op << 16 | here_val | 0;
} while (fill !== 0);
/* backwards increment the len-bit code huff */
incr = 1 << len - 1;
while (huff & incr) {
incr >>= 1;
}
if (incr !== 0) {
huff &= incr - 1;
huff += incr;
} else {
huff = 0;
}
/* go to next symbol, update count, len */
sym++;
if (--count[len] === 0) {
if (len === max) {
break;
}
len = lens[lens_index + work[sym]];
}
/* create new sub-table if needed */
if (len > root && (huff & mask) !== low) {
/* if first time, transition to sub-tables */
if (drop === 0) {
drop = root;
}
/* increment past last table */
next += min;
/* here min is 1 << curr */
/* determine length of next table */
curr = len - drop;
left = 1 << curr;
while (curr + drop < max) {
left -= count[curr + drop];
if (left <= 0) {
break;
}
curr++;
left <<= 1;
}
/* check for enough space */
used += 1 << curr;
if (type === LENS$1 && used > ENOUGH_LENS$1 || type === DISTS$1 && used > ENOUGH_DISTS$1) {
return 1;
}
/* point entry in root table to sub-table */
low = huff & mask;
/*table.op[low] = curr;
table.bits[low] = root;
table.val[low] = next - opts.table_index;*/
table[low] = root << 24 | curr << 16 | next - table_index | 0;
}
}
/* fill in remaining table entry if code is incomplete (guaranteed to have
at most one remaining entry, since if the code is incomplete, the
maximum code length that was allowed to get this far is one bit) */
if (huff !== 0) {
//table.op[next + huff] = 64; /* invalid code marker */
//table.bits[next + huff] = len - drop;
//table.val[next + huff] = 0;
table[next + huff] = len - drop << 24 | 64 << 16 | 0;
}
/* set return parameters */
//opts.table_index += used;
opts.bits = root;
return 0;
};
var inftrees = inflate_table; // (C) 1995-2013 Jean-loup Gailly and Mark Adler
// (C) 2014-2017 Vitaly Puzrin and Andrey Tupitsin
//
// This software is provided 'as-is', without any express or implied
// warranty. In no event will the authors be held liable for any damages
// arising from the use of this software.
//
// Permission is granted to anyone to use this software for any purpose,
// including commercial applications, and to alter it and redistribute it
// freely, subject to the following restrictions:
//
// 1. The origin of this software must not be misrepresented; you must not
// claim that you wrote the original software. If you use this software
// in a product, an acknowledgment in the product documentation would be
// appreciated but is not required.
// 2. Altered source versions must be plainly marked as such, and must not be
// misrepresented as being the original software.
// 3. This notice may not be removed or altered from any source distribution.
const CODES = 0;
const LENS = 1;
const DISTS = 2;
/* Public constants ==========================================================*/
/* ===========================================================================*/
const {
Z_FINISH: Z_FINISH$1,
Z_BLOCK,
Z_TREES,
Z_OK: Z_OK$1,
Z_STREAM_END: Z_STREAM_END$1,
Z_NEED_DICT: Z_NEED_DICT$1,
Z_STREAM_ERROR: Z_STREAM_ERROR$1,
Z_DATA_ERROR: Z_DATA_ERROR$1,
Z_MEM_ERROR: Z_MEM_ERROR$1,
Z_BUF_ERROR,
Z_DEFLATED
} = constants$2;
/* STATES ====================================================================*/
/* ===========================================================================*/
const HEAD = 1;
/* i: waiting for magic header */
const FLAGS = 2;
/* i: waiting for method and flags (gzip) */
const TIME = 3;
/* i: waiting for modification time (gzip) */
const OS = 4;
/* i: waiting for extra flags and operating system (gzip) */
const EXLEN = 5;
/* i: waiting for extra length (gzip) */
const EXTRA = 6;
/* i: waiting for extra bytes (gzip) */
const NAME = 7;
/* i: waiting for end of file name (gzip) */
const COMMENT = 8;
/* i: waiting for end of comment (gzip) */
const HCRC = 9;
/* i: waiting for header crc (gzip) */
const DICTID = 10;
/* i: waiting for dictionary check value */
const DICT = 11;
/* waiting for inflateSetDictionary() call */
const TYPE = 12;
/* i: waiting for type bits, including last-flag bit */
const TYPEDO = 13;
/* i: same, but skip check to exit inflate on new block */
const STORED = 14;
/* i: waiting for stored size (length and complement) */
const COPY_ = 15;
/* i/o: same as COPY below, but only first time in */
const COPY = 16;
/* i/o: waiting for input or output to copy stored block */
const TABLE = 17;
/* i: waiting for dynamic block table lengths */
const LENLENS = 18;
/* i: waiting for code length code lengths */
const CODELENS = 19;
/* i: waiting for length/lit and distance code lengths */
const LEN_ = 20;
/* i: same as LEN below, but only first time in */
const LEN = 21;
/* i: waiting for length/lit/eob code */
const LENEXT = 22;
/* i: waiting for length extra bits */
const DIST = 23;
/* i: waiting for distance code */
const DISTEXT = 24;
/* i: waiting for distance extra bits */
const MATCH = 25;
/* o: waiting for output space to copy string */
const LIT = 26;
/* o: waiting for output space to write literal */
const CHECK = 27;
/* i: waiting for 32-bit check value */
const LENGTH = 28;
/* i: waiting for 32-bit length (gzip) */
const DONE = 29;
/* finished check, done -- remain here until reset */
const BAD = 30;
/* got a data error -- remain here until reset */
const MEM = 31;
/* got an inflate() memory error -- remain here until reset */
const SYNC = 32;
/* looking for synchronization bytes to restart inflate() */
/* ===========================================================================*/
const ENOUGH_LENS = 852;
const ENOUGH_DISTS = 592; //const ENOUGH = (ENOUGH_LENS+ENOUGH_DISTS);
const MAX_WBITS = 15;
/* 32K LZ77 window */
const DEF_WBITS = MAX_WBITS;
const zswap32 = q => {
return (q >>> 24 & 0xff) + (q >>> 8 & 0xff00) + ((q & 0xff00) << 8) + ((q & 0xff) << 24);
};
function InflateState() {
this.mode = 0;
/* current inflate mode */
this.last = false;
/* true if processing last block */
this.wrap = 0;
/* bit 0 true for zlib, bit 1 true for gzip */
this.havedict = false;
/* true if dictionary provided */
this.flags = 0;
/* gzip header method and flags (0 if zlib) */
this.dmax = 0;
/* zlib header max distance (INFLATE_STRICT) */
this.check = 0;
/* protected copy of check value */
this.total = 0;
/* protected copy of output count */
// TODO: may be {}
this.head = null;
/* where to save gzip header information */
/* sliding window */
this.wbits = 0;
/* log base 2 of requested window size */
this.wsize = 0;
/* window size or zero if not using window */
this.whave = 0;
/* valid bytes in the window */
this.wnext = 0;
/* window write index */
this.window = null;
/* allocated sliding window, if needed */
/* bit accumulator */
this.hold = 0;
/* input bit accumulator */
this.bits = 0;
/* number of bits in "in" */
/* for string and stored block copying */
this.length = 0;
/* literal or length of data to copy */
this.offset = 0;
/* distance back to copy string from */
/* for table and code decoding */
this.extra = 0;
/* extra bits needed */
/* fixed and dynamic code tables */
this.lencode = null;
/* starting table for length/literal codes */
this.distcode = null;
/* starting table for distance codes */
this.lenbits = 0;
/* index bits for lencode */
this.distbits = 0;
/* index bits for distcode */
/* dynamic table building */
this.ncode = 0;
/* number of code length code lengths */
this.nlen = 0;
/* number of length code lengths */
this.ndist = 0;
/* number of distance code lengths */
this.have = 0;
/* number of code lengths in lens[] */
this.next = null;
/* next available space in codes[] */
this.lens = new Uint16Array(320);
/* temporary storage for code lengths */
this.work = new Uint16Array(288);
/* work area for code table building */
/*
because we don't have pointers in js, we use lencode and distcode directly
as buffers so we don't need codes
*/
//this.codes = new Int32Array(ENOUGH); /* space for code tables */
this.lendyn = null;
/* dynamic table for length/literal codes (JS specific) */
this.distdyn = null;
/* dynamic table for distance codes (JS specific) */
this.sane = 0;
/* if false, allow invalid distance too far */
this.back = 0;
/* bits back of last unprocessed length/lit */
this.was = 0;
/* initial length of match */
}
const inflateResetKeep = strm => {
if (!strm || !strm.state) {
return Z_STREAM_ERROR$1;
}
const state = strm.state;
strm.total_in = strm.total_out = state.total = 0;
strm.msg = '';
/*Z_NULL*/
if (state.wrap) {
/* to support ill-conceived Java test suite */
strm.adler = state.wrap & 1;
}
state.mode = HEAD;
state.last = 0;
state.havedict = 0;
state.dmax = 32768;
state.head = null
/*Z_NULL*/
;
state.hold = 0;
state.bits = 0; //state.lencode = state.distcode = state.next = state.codes;
state.lencode = state.lendyn = new Int32Array(ENOUGH_LENS);
state.distcode = state.distdyn = new Int32Array(ENOUGH_DISTS);
state.sane = 1;
state.back = -1; //Tracev((stderr, "inflate: reset\n"));
return Z_OK$1;
};
const inflateReset = strm => {
if (!strm || !strm.state) {
return Z_STREAM_ERROR$1;
}
const state = strm.state;
state.wsize = 0;
state.whave = 0;
state.wnext = 0;
return inflateResetKeep(strm);
};
const inflateReset2 = (strm, windowBits) => {
let wrap;
/* get the state */
if (!strm || !strm.state) {
return Z_STREAM_ERROR$1;
}
const state = strm.state;
/* extract wrap request from windowBits parameter */
if (windowBits < 0) {
wrap = 0;
windowBits = -windowBits;
} else {
wrap = (windowBits >> 4) + 1;
if (windowBits < 48) {
windowBits &= 15;
}
}
/* set number of window bits, free window if different */
if (windowBits && (windowBits < 8 || windowBits > 15)) {
return Z_STREAM_ERROR$1;
}
if (state.window !== null && state.wbits !== windowBits) {
state.window = null;
}
/* update state and reset the rest of it */
state.wrap = wrap;
state.wbits = windowBits;
return inflateReset(strm);
};
const inflateInit2 = (strm, windowBits) => {
if (!strm) {
return Z_STREAM_ERROR$1;
} //strm.msg = Z_NULL; /* in case we return an error */
const state = new InflateState(); //if (state === Z_NULL) return Z_MEM_ERROR;
//Tracev((stderr, "inflate: allocated\n"));
strm.state = state;
state.window = null
/*Z_NULL*/
;
const ret = inflateReset2(strm, windowBits);
if (ret !== Z_OK$1) {
strm.state = null
/*Z_NULL*/
;
}
return ret;
};
const inflateInit = strm => {
return inflateInit2(strm, DEF_WBITS);
};
/*
Return state with length and distance decoding tables and index sizes set to
fixed code decoding. Normally this returns fixed tables from inffixed.h.
If BUILDFIXED is defined, then instead this routine builds the tables the
first time it's called, and returns those tables the first time and
thereafter. This reduces the size of the code by about 2K bytes, in
exchange for a little execution time. However, BUILDFIXED should not be
used for threaded applications, since the rewriting of the tables and virgin
may not be thread-safe.
*/
let virgin = true;
let lenfix, distfix; // We have no pointers in JS, so keep tables separate
const fixedtables = state => {
/* build fixed huffman tables if first call (may not be thread safe) */
if (virgin) {
lenfix = new Int32Array(512);
distfix = new Int32Array(32);
/* literal/length table */
let sym = 0;
while (sym < 144) {
state.lens[sym++] = 8;
}
while (sym < 256) {
state.lens[sym++] = 9;
}
while (sym < 280) {
state.lens[sym++] = 7;
}
while (sym < 288) {
state.lens[sym++] = 8;
}
inftrees(LENS, state.lens, 0, 288, lenfix, 0, state.work, {
bits: 9
});
/* distance table */
sym = 0;
while (sym < 32) {
state.lens[sym++] = 5;
}
inftrees(DISTS, state.lens, 0, 32, distfix, 0, state.work, {
bits: 5
});
/* do this just once */
virgin = false;
}
state.lencode = lenfix;
state.lenbits = 9;
state.distcode = distfix;
state.distbits = 5;
};
/*
Update the window with the last wsize (normally 32K) bytes written before
returning. If window does not exist yet, create it. This is only called
when a window is already in use, or when output has been written during this
inflate call, but the end of the deflate stream has not been reached yet.
It is also called to create a window for dictionary data when a dictionary
is loaded.
Providing output buffers larger than 32K to inflate() should provide a speed
advantage, since only the last 32K of output is copied to the sliding window
upon return from inflate(), and since all distances after the first 32K of
output will fall in the output data, making match copies simpler and faster.
The advantage may be dependent on the size of the processor's data caches.
*/
const updatewindow = (strm, src, end, copy) => {
let dist;
const state = strm.state;
/* if it hasn't been done already, allocate space for the window */
if (state.window === null) {
state.wsize = 1 << state.wbits;
state.wnext = 0;
state.whave = 0;
state.window = new Uint8Array(state.wsize);
}
/* copy state->wsize or less output bytes into the circular window */
if (copy >= state.wsize) {
state.window.set(src.subarray(end - state.wsize, end), 0);
state.wnext = 0;
state.whave = state.wsize;
} else {
dist = state.wsize - state.wnext;
if (dist > copy) {
dist = copy;
} //zmemcpy(state->window + state->wnext, end - copy, dist);
state.window.set(src.subarray(end - copy, end - copy + dist), state.wnext);
copy -= dist;
if (copy) {
//zmemcpy(state->window, end - copy, copy);
state.window.set(src.subarray(end - copy, end), 0);
state.wnext = copy;
state.whave = state.wsize;
} else {
state.wnext += dist;
if (state.wnext === state.wsize) {
state.wnext = 0;
}
if (state.whave < state.wsize) {
state.whave += dist;
}
}
}
return 0;
};
const inflate$2 = (strm, flush) => {
let state;
let input, output; // input/output buffers
let next;
/* next input INDEX */
let put;
/* next output INDEX */
let have, left;
/* available input and output */
let hold;
/* bit buffer */
let bits;
/* bits in bit buffer */
let _in, _out;
/* save starting available input and output */
let copy;
/* number of stored or match bytes to copy */
let from;
/* where to copy match bytes from */
let from_source;
let here = 0;
/* current decoding table entry */
let here_bits, here_op, here_val; // paked "here" denormalized (JS specific)
//let last; /* parent table entry */
let last_bits, last_op, last_val; // paked "last" denormalized (JS specific)
let len;
/* length to copy for repeats, bits to drop */
let ret;
/* return code */
const hbuf = new Uint8Array(4);
/* buffer for gzip header crc calculation */
let opts;
let n; // temporary variable for NEED_BITS
const order =
/* permutation of code lengths */
new Uint8Array([16, 17, 18, 0, 8, 7, 9, 6, 10, 5, 11, 4, 12, 3, 13, 2, 14, 1, 15]);
if (!strm || !strm.state || !strm.output || !strm.input && strm.avail_in !== 0) {
return Z_STREAM_ERROR$1;
}
state = strm.state;
if (state.mode === TYPE) {
state.mode = TYPEDO;
}
/* skip check */
//--- LOAD() ---
put = strm.next_out;
output = strm.output;
left = strm.avail_out;
next = strm.next_in;
input = strm.input;
have = strm.avail_in;
hold = state.hold;
bits = state.bits; //---
_in = have;
_out = left;
ret = Z_OK$1;
inf_leave: // goto emulation
for (;;) {
switch (state.mode) {
case HEAD:
if (state.wrap === 0) {
state.mode = TYPEDO;
break;
} //=== NEEDBITS(16);
while (bits < 16) {
if (have === 0) {
break inf_leave;
}
have--;
hold += input[next++] << bits;
bits += 8;
} //===//
if (state.wrap & 2 && hold === 0x8b1f) {
/* gzip header */
state.check = 0
/*crc32(0L, Z_NULL, 0)*/
; //=== CRC2(state.check, hold);
hbuf[0] = hold & 0xff;
hbuf[1] = hold >>> 8 & 0xff;
state.check = crc32_1(state.check, hbuf, 2, 0); //===//
//=== INITBITS();
hold = 0;
bits = 0; //===//
state.mode = FLAGS;
break;
}
state.flags = 0;
/* expect zlib header */
if (state.head) {
state.head.done = false;
}
if (!(state.wrap & 1) ||
/* check if zlib header allowed */
(((hold & 0xff
/*BITS(8)*/
) << 8) + (hold >> 8)) % 31) {
strm.msg = 'incorrect header check';
state.mode = BAD;
break;
}
if ((hold & 0x0f
/*BITS(4)*/
) !== Z_DEFLATED) {
strm.msg = 'unknown compression method';
state.mode = BAD;
break;
} //--- DROPBITS(4) ---//
hold >>>= 4;
bits -= 4; //---//
len = (hold & 0x0f
/*BITS(4)*/
) + 8;
if (state.wbits === 0) {
state.wbits = len;
} else if (len > state.wbits) {
strm.msg = 'invalid window size';
state.mode = BAD;
break;
} // !!! pako patch. Force use `options.windowBits` if passed.
// Required to always use max window size by default.
state.dmax = 1 << state.wbits; //state.dmax = 1 << len;
//Tracev((stderr, "inflate: zlib header ok\n"));
strm.adler = state.check = 1
/*adler32(0L, Z_NULL, 0)*/
;
state.mode = hold & 0x200 ? DICTID : TYPE; //=== INITBITS();
hold = 0;
bits = 0; //===//
break;
case FLAGS:
//=== NEEDBITS(16); */
while (bits < 16) {
if (have === 0) {
break inf_leave;
}
have--;
hold += input[next++] << bits;
bits += 8;
} //===//
state.flags = hold;
if ((state.flags & 0xff) !== Z_DEFLATED) {
strm.msg = 'unknown compression method';
state.mode = BAD;
break;
}
if (state.flags & 0xe000) {
strm.msg = 'unknown header flags set';
state.mode = BAD;
break;
}
if (state.head) {
state.head.text = hold >> 8 & 1;
}
if (state.flags & 0x0200) {
//=== CRC2(state.check, hold);
hbuf[0] = hold & 0xff;
hbuf[1] = hold >>> 8 & 0xff;
state.check = crc32_1(state.check, hbuf, 2, 0); //===//
} //=== INITBITS();
hold = 0;
bits = 0; //===//
state.mode = TIME;
/* falls through */
case TIME:
//=== NEEDBITS(32); */
while (bits < 32) {
if (have === 0) {
break inf_leave;
}
have--;
hold += input[next++] << bits;
bits += 8;
} //===//
if (state.head) {
state.head.time = hold;
}
if (state.flags & 0x0200) {
//=== CRC4(state.check, hold)
hbuf[0] = hold & 0xff;
hbuf[1] = hold >>> 8 & 0xff;
hbuf[2] = hold >>> 16 & 0xff;
hbuf[3] = hold >>> 24 & 0xff;
state.check = crc32_1(state.check, hbuf, 4, 0); //===
} //=== INITBITS();
hold = 0;
bits = 0; //===//
state.mode = OS;
/* falls through */
case OS:
//=== NEEDBITS(16); */
while (bits < 16) {
if (have === 0) {
break inf_leave;
}
have--;
hold += input[next++] << bits;
bits += 8;
} //===//
if (state.head) {
state.head.xflags = hold & 0xff;
state.head.os = hold >> 8;
}
if (state.flags & 0x0200) {
//=== CRC2(state.check, hold);
hbuf[0] = hold & 0xff;
hbuf[1] = hold >>> 8 & 0xff;
state.check = crc32_1(state.check, hbuf, 2, 0); //===//
} //=== INITBITS();
hold = 0;
bits = 0; //===//
state.mode = EXLEN;
/* falls through */
case EXLEN:
if (state.flags & 0x0400) {
//=== NEEDBITS(16); */
while (bits < 16) {
if (have === 0) {
break inf_leave;
}
have--;
hold += input[next++] << bits;
bits += 8;
} //===//
state.length = hold;
if (state.head) {
state.head.extra_len = hold;
}
if (state.flags & 0x0200) {
//=== CRC2(state.check, hold);
hbuf[0] = hold & 0xff;
hbuf[1] = hold >>> 8 & 0xff;
state.check = crc32_1(state.check, hbuf, 2, 0); //===//
} //=== INITBITS();
hold = 0;
bits = 0; //===//
} else if (state.head) {
state.head.extra = null
/*Z_NULL*/
;
}
state.mode = EXTRA;
/* falls through */
case EXTRA:
if (state.flags & 0x0400) {
copy = state.length;
if (copy > have) {
copy = have;
}
if (copy) {
if (state.head) {
len = state.head.extra_len - state.length;
if (!state.head.extra) {
// Use untyped array for more convenient processing later
state.head.extra = new Uint8Array(state.head.extra_len);
}
state.head.extra.set(input.subarray(next, // extra field is limited to 65536 bytes
// - no need for additional size check
next + copy),
/*len + copy > state.head.extra_max - len ? state.head.extra_max : copy,*/
len); //zmemcpy(state.head.extra + len, next,
// len + copy > state.head.extra_max ?
// state.head.extra_max - len : copy);
}
if (state.flags & 0x0200) {
state.check = crc32_1(state.check, input, copy, next);
}
have -= copy;
next += copy;
state.length -= copy;
}
if (state.length) {
break inf_leave;
}
}
state.length = 0;
state.mode = NAME;
/* falls through */
case NAME:
if (state.flags & 0x0800) {
if (have === 0) {
break inf_leave;
}
copy = 0;
do {
// TODO: 2 or 1 bytes?
len = input[next + copy++];
/* use constant limit because in js we should not preallocate memory */
if (state.head && len && state.length < 65536
/*state.head.name_max*/
) {
state.head.name += String.fromCharCode(len);
}
} while (len && copy < have);
if (state.flags & 0x0200) {
state.check = crc32_1(state.check, input, copy, next);
}
have -= copy;
next += copy;
if (len) {
break inf_leave;
}
} else if (state.head) {
state.head.name = null;
}
state.length = 0;
state.mode = COMMENT;
/* falls through */
case COMMENT:
if (state.flags & 0x1000) {
if (have === 0) {
break inf_leave;
}
copy = 0;
do {
len = input[next + copy++];
/* use constant limit because in js we should not preallocate memory */
if (state.head && len && state.length < 65536
/*state.head.comm_max*/
) {
state.head.comment += String.fromCharCode(len);
}
} while (len && copy < have);
if (state.flags & 0x0200) {
state.check = crc32_1(state.check, input, copy, next);
}
have -= copy;
next += copy;
if (len) {
break inf_leave;
}
} else if (state.head) {
state.head.comment = null;
}
state.mode = HCRC;
/* falls through */
case HCRC:
if (state.flags & 0x0200) {
//=== NEEDBITS(16); */
while (bits < 16) {
if (have === 0) {
break inf_leave;
}
have--;
hold += input[next++] << bits;
bits += 8;
} //===//
if (hold !== (state.check & 0xffff)) {
strm.msg = 'header crc mismatch';
state.mode = BAD;
break;
} //=== INITBITS();
hold = 0;
bits = 0; //===//
}
if (state.head) {
state.head.hcrc = state.flags >> 9 & 1;
state.head.done = true;
}
strm.adler = state.check = 0;
state.mode = TYPE;
break;
case DICTID:
//=== NEEDBITS(32); */
while (bits < 32) {
if (have === 0) {
break inf_leave;
}
have--;
hold += input[next++] << bits;
bits += 8;
} //===//
strm.adler = state.check = zswap32(hold); //=== INITBITS();
hold = 0;
bits = 0; //===//
state.mode = DICT;
/* falls through */
case DICT:
if (state.havedict === 0) {
//--- RESTORE() ---
strm.next_out = put;
strm.avail_out = left;
strm.next_in = next;
strm.avail_in = have;
state.hold = hold;
state.bits = bits; //---
return Z_NEED_DICT$1;
}
strm.adler = state.check = 1
/*adler32(0L, Z_NULL, 0)*/
;
state.mode = TYPE;
/* falls through */
case TYPE:
if (flush === Z_BLOCK || flush === Z_TREES) {
break inf_leave;
}
/* falls through */
case TYPEDO:
if (state.last) {
//--- BYTEBITS() ---//
hold >>>= bits & 7;
bits -= bits & 7; //---//
state.mode = CHECK;
break;
} //=== NEEDBITS(3); */
while (bits < 3) {
if (have === 0) {
break inf_leave;
}
have--;
hold += input[next++] << bits;
bits += 8;
} //===//
state.last = hold & 0x01
/*BITS(1)*/
; //--- DROPBITS(1) ---//
hold >>>= 1;
bits -= 1; //---//
switch (hold & 0x03
/*BITS(2)*/
) {
case 0:
/* stored block */
//Tracev((stderr, "inflate: stored block%s\n",
// state.last ? " (last)" : ""));
state.mode = STORED;
break;
case 1:
/* fixed block */
fixedtables(state); //Tracev((stderr, "inflate: fixed codes block%s\n",
// state.last ? " (last)" : ""));
state.mode = LEN_;
/* decode codes */
if (flush === Z_TREES) {
//--- DROPBITS(2) ---//
hold >>>= 2;
bits -= 2; //---//
break inf_leave;
}
break;
case 2:
/* dynamic block */
//Tracev((stderr, "inflate: dynamic codes block%s\n",
// state.last ? " (last)" : ""));
state.mode = TABLE;
break;
case 3:
strm.msg = 'invalid block type';
state.mode = BAD;
} //--- DROPBITS(2) ---//
hold >>>= 2;
bits -= 2; //---//
break;
case STORED:
//--- BYTEBITS() ---// /* go to byte boundary */
hold >>>= bits & 7;
bits -= bits & 7; //---//
//=== NEEDBITS(32); */
while (bits < 32) {
if (have === 0) {
break inf_leave;
}
have--;
hold += input[next++] << bits;
bits += 8;
} //===//
if ((hold & 0xffff) !== (hold >>> 16 ^ 0xffff)) {
strm.msg = 'invalid stored block lengths';
state.mode = BAD;
break;
}
state.length = hold & 0xffff; //Tracev((stderr, "inflate: stored length %u\n",
// state.length));
//=== INITBITS();
hold = 0;
bits = 0; //===//
state.mode = COPY_;
if (flush === Z_TREES) {
break inf_leave;
}
/* falls through */
case COPY_:
state.mode = COPY;
/* falls through */
case COPY:
copy = state.length;
if (copy) {
if (copy > have) {
copy = have;
}
if (copy > left) {
copy = left;
}
if (copy === 0) {
break inf_leave;
} //--- zmemcpy(put, next, copy); ---
output.set(input.subarray(next, next + copy), put); //---//
have -= copy;
next += copy;
left -= copy;
put += copy;
state.length -= copy;
break;
} //Tracev((stderr, "inflate: stored end\n"));
state.mode = TYPE;
break;
case TABLE:
//=== NEEDBITS(14); */
while (bits < 14) {
if (have === 0) {
break inf_leave;
}
have--;
hold += input[next++] << bits;
bits += 8;
} //===//
state.nlen = (hold & 0x1f
/*BITS(5)*/
) + 257; //--- DROPBITS(5) ---//
hold >>>= 5;
bits -= 5; //---//
state.ndist = (hold & 0x1f
/*BITS(5)*/
) + 1; //--- DROPBITS(5) ---//
hold >>>= 5;
bits -= 5; //---//
state.ncode = (hold & 0x0f
/*BITS(4)*/
) + 4; //--- DROPBITS(4) ---//
hold >>>= 4;
bits -= 4; //---//
//#ifndef PKZIP_BUG_WORKAROUND
if (state.nlen > 286 || state.ndist > 30) {
strm.msg = 'too many length or distance symbols';
state.mode = BAD;
break;
} //#endif
//Tracev((stderr, "inflate: table sizes ok\n"));
state.have = 0;
state.mode = LENLENS;
/* falls through */
case LENLENS:
while (state.have < state.ncode) {
//=== NEEDBITS(3);
while (bits < 3) {
if (have === 0) {
break inf_leave;
}
have--;
hold += input[next++] << bits;
bits += 8;
} //===//
state.lens[order[state.have++]] = hold & 0x07; //BITS(3);
//--- DROPBITS(3) ---//
hold >>>= 3;
bits -= 3; //---//
}
while (state.have < 19) {
state.lens[order[state.have++]] = 0;
} // We have separate tables & no pointers. 2 commented lines below not needed.
//state.next = state.codes;
//state.lencode = state.next;
// Switch to use dynamic table
state.lencode = state.lendyn;
state.lenbits = 7;
opts = {
bits: state.lenbits
};
ret = inftrees(CODES, state.lens, 0, 19, state.lencode, 0, state.work, opts);
state.lenbits = opts.bits;
if (ret) {
strm.msg = 'invalid code lengths set';
state.mode = BAD;
break;
} //Tracev((stderr, "inflate: code lengths ok\n"));
state.have = 0;
state.mode = CODELENS;
/* falls through */
case CODELENS:
while (state.have < state.nlen + state.ndist) {
for (;;) {
here = state.lencode[hold & (1 << state.lenbits) - 1];
/*BITS(state.lenbits)*/
here_bits = here >>> 24;
here_op = here >>> 16 & 0xff;
here_val = here & 0xffff;
if (here_bits <= bits) {
break;
} //--- PULLBYTE() ---//
if (have === 0) {
break inf_leave;
}
have--;
hold += input[next++] << bits;
bits += 8; //---//
}
if (here_val < 16) {
//--- DROPBITS(here.bits) ---//
hold >>>= here_bits;
bits -= here_bits; //---//
state.lens[state.have++] = here_val;
} else {
if (here_val === 16) {
//=== NEEDBITS(here.bits + 2);
n = here_bits + 2;
while (bits < n) {
if (have === 0) {
break inf_leave;
}
have--;
hold += input[next++] << bits;
bits += 8;
} //===//
//--- DROPBITS(here.bits) ---//
hold >>>= here_bits;
bits -= here_bits; //---//
if (state.have === 0) {
strm.msg = 'invalid bit length repeat';
state.mode = BAD;
break;
}
len = state.lens[state.have - 1];
copy = 3 + (hold & 0x03); //BITS(2);
//--- DROPBITS(2) ---//
hold >>>= 2;
bits -= 2; //---//
} else if (here_val === 17) {
//=== NEEDBITS(here.bits + 3);
n = here_bits + 3;
while (bits < n) {
if (have === 0) {
break inf_leave;
}
have--;
hold += input[next++] << bits;
bits += 8;
} //===//
//--- DROPBITS(here.bits) ---//
hold >>>= here_bits;
bits -= here_bits; //---//
len = 0;
copy = 3 + (hold & 0x07); //BITS(3);
//--- DROPBITS(3) ---//
hold >>>= 3;
bits -= 3; //---//
} else {
//=== NEEDBITS(here.bits + 7);
n = here_bits + 7;
while (bits < n) {
if (have === 0) {
break inf_leave;
}
have--;
hold += input[next++] << bits;
bits += 8;
} //===//
//--- DROPBITS(here.bits) ---//
hold >>>= here_bits;
bits -= here_bits; //---//
len = 0;
copy = 11 + (hold & 0x7f); //BITS(7);
//--- DROPBITS(7) ---//
hold >>>= 7;
bits -= 7; //---//
}
if (state.have + copy > state.nlen + state.ndist) {
strm.msg = 'invalid bit length repeat';
state.mode = BAD;
break;
}
while (copy--) {
state.lens[state.have++] = len;
}
}
}
/* handle error breaks in while */
if (state.mode === BAD) {
break;
}
/* check for end-of-block code (better have one) */
if (state.lens[256] === 0) {
strm.msg = 'invalid code -- missing end-of-block';
state.mode = BAD;
break;
}
/* build code tables -- note: do not change the lenbits or distbits
values here (9 and 6) without reading the comments in inftrees.h
concerning the ENOUGH constants, which depend on those values */
state.lenbits = 9;
opts = {
bits: state.lenbits
};
ret = inftrees(LENS, state.lens, 0, state.nlen, state.lencode, 0, state.work, opts); // We have separate tables & no pointers. 2 commented lines below not needed.
// state.next_index = opts.table_index;
state.lenbits = opts.bits; // state.lencode = state.next;
if (ret) {
strm.msg = 'invalid literal/lengths set';
state.mode = BAD;
break;
}
state.distbits = 6; //state.distcode.copy(state.codes);
// Switch to use dynamic table
state.distcode = state.distdyn;
opts = {
bits: state.distbits
};
ret = inftrees(DISTS, state.lens, state.nlen, state.ndist, state.distcode, 0, state.work, opts); // We have separate tables & no pointers. 2 commented lines below not needed.
// state.next_index = opts.table_index;
state.distbits = opts.bits; // state.distcode = state.next;
if (ret) {
strm.msg = 'invalid distances set';
state.mode = BAD;
break;
} //Tracev((stderr, 'inflate: codes ok\n'));
state.mode = LEN_;
if (flush === Z_TREES) {
break inf_leave;
}
/* falls through */
case LEN_:
state.mode = LEN;
/* falls through */
case LEN:
if (have >= 6 && left >= 258) {
//--- RESTORE() ---
strm.next_out = put;
strm.avail_out = left;
strm.next_in = next;
strm.avail_in = have;
state.hold = hold;
state.bits = bits; //---
inffast(strm, _out); //--- LOAD() ---
put = strm.next_out;
output = strm.output;
left = strm.avail_out;
next = strm.next_in;
input = strm.input;
have = strm.avail_in;
hold = state.hold;
bits = state.bits; //---
if (state.mode === TYPE) {
state.back = -1;
}
break;
}
state.back = 0;
for (;;) {
here = state.lencode[hold & (1 << state.lenbits) - 1];
/*BITS(state.lenbits)*/
here_bits = here >>> 24;
here_op = here >>> 16 & 0xff;
here_val = here & 0xffff;
if (here_bits <= bits) {
break;
} //--- PULLBYTE() ---//
if (have === 0) {
break inf_leave;
}
have--;
hold += input[next++] << bits;
bits += 8; //---//
}
if (here_op && (here_op & 0xf0) === 0) {
last_bits = here_bits;
last_op = here_op;
last_val = here_val;
for (;;) {
here = state.lencode[last_val + ((hold & (1 << last_bits + last_op) - 1
/*BITS(last.bits + last.op)*/
) >> last_bits)];
here_bits = here >>> 24;
here_op = here >>> 16 & 0xff;
here_val = here & 0xffff;
if (last_bits + here_bits <= bits) {
break;
} //--- PULLBYTE() ---//
if (have === 0) {
break inf_leave;
}
have--;
hold += input[next++] << bits;
bits += 8; //---//
} //--- DROPBITS(last.bits) ---//
hold >>>= last_bits;
bits -= last_bits; //---//
state.back += last_bits;
} //--- DROPBITS(here.bits) ---//
hold >>>= here_bits;
bits -= here_bits; //---//
state.back += here_bits;
state.length = here_val;
if (here_op === 0) {
//Tracevv((stderr, here.val >= 0x20 && here.val < 0x7f ?
// "inflate: literal '%c'\n" :
// "inflate: literal 0x%02x\n", here.val));
state.mode = LIT;
break;
}
if (here_op & 32) {
//Tracevv((stderr, "inflate: end of block\n"));
state.back = -1;
state.mode = TYPE;
break;
}
if (here_op & 64) {
strm.msg = 'invalid literal/length code';
state.mode = BAD;
break;
}
state.extra = here_op & 15;
state.mode = LENEXT;
/* falls through */
case LENEXT:
if (state.extra) {
//=== NEEDBITS(state.extra);
n = state.extra;
while (bits < n) {
if (have === 0) {
break inf_leave;
}
have--;
hold += input[next++] << bits;
bits += 8;
} //===//
state.length += hold & (1 << state.extra) - 1
/*BITS(state.extra)*/
; //--- DROPBITS(state.extra) ---//
hold >>>= state.extra;
bits -= state.extra; //---//
state.back += state.extra;
} //Tracevv((stderr, "inflate: length %u\n", state.length));
state.was = state.length;
state.mode = DIST;
/* falls through */
case DIST:
for (;;) {
here = state.distcode[hold & (1 << state.distbits) - 1];
/*BITS(state.distbits)*/
here_bits = here >>> 24;
here_op = here >>> 16 & 0xff;
here_val = here & 0xffff;
if (here_bits <= bits) {
break;
} //--- PULLBYTE() ---//
if (have === 0) {
break inf_leave;
}
have--;
hold += input[next++] << bits;
bits += 8; //---//
}
if ((here_op & 0xf0) === 0) {
last_bits = here_bits;
last_op = here_op;
last_val = here_val;
for (;;) {
here = state.distcode[last_val + ((hold & (1 << last_bits + last_op) - 1
/*BITS(last.bits + last.op)*/
) >> last_bits)];
here_bits = here >>> 24;
here_op = here >>> 16 & 0xff;
here_val = here & 0xffff;
if (last_bits + here_bits <= bits) {
break;
} //--- PULLBYTE() ---//
if (have === 0) {
break inf_leave;
}
have--;
hold += input[next++] << bits;
bits += 8; //---//
} //--- DROPBITS(last.bits) ---//
hold >>>= last_bits;
bits -= last_bits; //---//
state.back += last_bits;
} //--- DROPBITS(here.bits) ---//
hold >>>= here_bits;
bits -= here_bits; //---//
state.back += here_bits;
if (here_op & 64) {
strm.msg = 'invalid distance code';
state.mode = BAD;
break;
}
state.offset = here_val;
state.extra = here_op & 15;
state.mode = DISTEXT;
/* falls through */
case DISTEXT:
if (state.extra) {
//=== NEEDBITS(state.extra);
n = state.extra;
while (bits < n) {
if (have === 0) {
break inf_leave;
}
have--;
hold += input[next++] << bits;
bits += 8;
} //===//
state.offset += hold & (1 << state.extra) - 1
/*BITS(state.extra)*/
; //--- DROPBITS(state.extra) ---//
hold >>>= state.extra;
bits -= state.extra; //---//
state.back += state.extra;
} //#ifdef INFLATE_STRICT
if (state.offset > state.dmax) {
strm.msg = 'invalid distance too far back';
state.mode = BAD;
break;
} //#endif
//Tracevv((stderr, "inflate: distance %u\n", state.offset));
state.mode = MATCH;
/* falls through */
case MATCH:
if (left === 0) {
break inf_leave;
}
copy = _out - left;
if (state.offset > copy) {
/* copy from window */
copy = state.offset - copy;
if (copy > state.whave) {
if (state.sane) {
strm.msg = 'invalid distance too far back';
state.mode = BAD;
break;
} // (!) This block is disabled in zlib defaults,
// don't enable it for binary compatibility
//#ifdef INFLATE_ALLOW_INVALID_DISTANCE_TOOFAR_ARRR
// Trace((stderr, "inflate.c too far\n"));
// copy -= state.whave;
// if (copy > state.length) { copy = state.length; }
// if (copy > left) { copy = left; }
// left -= copy;
// state.length -= copy;
// do {
// output[put++] = 0;
// } while (--copy);
// if (state.length === 0) { state.mode = LEN; }
// break;
//#endif
}
if (copy > state.wnext) {
copy -= state.wnext;
from = state.wsize - copy;
} else {
from = state.wnext - copy;
}
if (copy > state.length) {
copy = state.length;
}
from_source = state.window;
} else {
/* copy from output */
from_source = output;
from = put - state.offset;
copy = state.length;
}
if (copy > left) {
copy = left;
}
left -= copy;
state.length -= copy;
do {
output[put++] = from_source[from++];
} while (--copy);
if (state.length === 0) {
state.mode = LEN;
}
break;
case LIT:
if (left === 0) {
break inf_leave;
}
output[put++] = state.length;
left--;
state.mode = LEN;
break;
case CHECK:
if (state.wrap) {
//=== NEEDBITS(32);
while (bits < 32) {
if (have === 0) {
break inf_leave;
}
have--; // Use '|' instead of '+' to make sure that result is signed
hold |= input[next++] << bits;
bits += 8;
} //===//
_out -= left;
strm.total_out += _out;
state.total += _out;
if (_out) {
strm.adler = state.check =
/*UPDATE(state.check, put - _out, _out);*/
state.flags ? crc32_1(state.check, output, _out, put - _out) : adler32_1(state.check, output, _out, put - _out);
}
_out = left; // NB: crc32 stored as signed 32-bit int, zswap32 returns signed too
if ((state.flags ? hold : zswap32(hold)) !== state.check) {
strm.msg = 'incorrect data check';
state.mode = BAD;
break;
} //=== INITBITS();
hold = 0;
bits = 0; //===//
//Tracev((stderr, "inflate: check matches trailer\n"));
}
state.mode = LENGTH;
/* falls through */
case LENGTH:
if (state.wrap && state.flags) {
//=== NEEDBITS(32);
while (bits < 32) {
if (have === 0) {
break inf_leave;
}
have--;
hold += input[next++] << bits;
bits += 8;
} //===//
if (hold !== (state.total & 0xffffffff)) {
strm.msg = 'incorrect length check';
state.mode = BAD;
break;
} //=== INITBITS();
hold = 0;
bits = 0; //===//
//Tracev((stderr, "inflate: length matches trailer\n"));
}
state.mode = DONE;
/* falls through */
case DONE:
ret = Z_STREAM_END$1;
break inf_leave;
case BAD:
ret = Z_DATA_ERROR$1;
break inf_leave;
case MEM:
return Z_MEM_ERROR$1;
case SYNC:
/* falls through */
default:
return Z_STREAM_ERROR$1;
}
} // inf_leave <- here is real place for "goto inf_leave", emulated via "break inf_leave"
/*
Return from inflate(), updating the total counts and the check value.
If there was no progress during the inflate() call, return a buffer
error. Call updatewindow() to create and/or update the window state.
Note: a memory error from inflate() is non-recoverable.
*/
//--- RESTORE() ---
strm.next_out = put;
strm.avail_out = left;
strm.next_in = next;
strm.avail_in = have;
state.hold = hold;
state.bits = bits; //---
if (state.wsize || _out !== strm.avail_out && state.mode < BAD && (state.mode < CHECK || flush !== Z_FINISH$1)) {
if (updatewindow(strm, strm.output, strm.next_out, _out - strm.avail_out)) ;
}
_in -= strm.avail_in;
_out -= strm.avail_out;
strm.total_in += _in;
strm.total_out += _out;
state.total += _out;
if (state.wrap && _out) {
strm.adler = state.check =
/*UPDATE(state.check, strm.next_out - _out, _out);*/
state.flags ? crc32_1(state.check, output, _out, strm.next_out - _out) : adler32_1(state.check, output, _out, strm.next_out - _out);
}
strm.data_type = state.bits + (state.last ? 64 : 0) + (state.mode === TYPE ? 128 : 0) + (state.mode === LEN_ || state.mode === COPY_ ? 256 : 0);
if ((_in === 0 && _out === 0 || flush === Z_FINISH$1) && ret === Z_OK$1) {
ret = Z_BUF_ERROR;
}
return ret;
};
const inflateEnd = strm => {
if (!strm || !strm.state
/*|| strm->zfree == (free_func)0*/
) {
return Z_STREAM_ERROR$1;
}
let state = strm.state;
if (state.window) {
state.window = null;
}
strm.state = null;
return Z_OK$1;
};
const inflateGetHeader = (strm, head) => {
/* check state */
if (!strm || !strm.state) {
return Z_STREAM_ERROR$1;
}
const state = strm.state;
if ((state.wrap & 2) === 0) {
return Z_STREAM_ERROR$1;
}
/* save header structure */
state.head = head;
head.done = false;
return Z_OK$1;
};
const inflateSetDictionary = (strm, dictionary) => {
const dictLength = dictionary.length;
let state;
let dictid;
let ret;
/* check state */
if (!strm
/* == Z_NULL */
|| !strm.state
/* == Z_NULL */
) {
return Z_STREAM_ERROR$1;
}
state = strm.state;
if (state.wrap !== 0 && state.mode !== DICT) {
return Z_STREAM_ERROR$1;
}
/* check for correct dictionary identifier */
if (state.mode === DICT) {
dictid = 1;
/* adler32(0, null, 0)*/
/* dictid = adler32(dictid, dictionary, dictLength); */
dictid = adler32_1(dictid, dictionary, dictLength, 0);
if (dictid !== state.check) {
return Z_DATA_ERROR$1;
}
}
/* copy dictionary to window using updatewindow(), which will amend the
existing dictionary if appropriate */
ret = updatewindow(strm, dictionary, dictLength, dictLength);
if (ret) {
state.mode = MEM;
return Z_MEM_ERROR$1;
}
state.havedict = 1; // Tracev((stderr, "inflate: dictionary set\n"));
return Z_OK$1;
};
var inflateReset_1 = inflateReset;
var inflateReset2_1 = inflateReset2;
var inflateResetKeep_1 = inflateResetKeep;
var inflateInit_1 = inflateInit;
var inflateInit2_1 = inflateInit2;
var inflate_2$1 = inflate$2;
var inflateEnd_1 = inflateEnd;
var inflateGetHeader_1 = inflateGetHeader;
var inflateSetDictionary_1 = inflateSetDictionary;
var inflateInfo = 'pako inflate (from Nodeca project)';
/* Not implemented
module.exports.inflateCopy = inflateCopy;
module.exports.inflateGetDictionary = inflateGetDictionary;
module.exports.inflateMark = inflateMark;
module.exports.inflatePrime = inflatePrime;
module.exports.inflateSync = inflateSync;
module.exports.inflateSyncPoint = inflateSyncPoint;
module.exports.inflateUndermine = inflateUndermine;
*/
var inflate_1$2 = {
inflateReset: inflateReset_1,
inflateReset2: inflateReset2_1,
inflateResetKeep: inflateResetKeep_1,
inflateInit: inflateInit_1,
inflateInit2: inflateInit2_1,
inflate: inflate_2$1,
inflateEnd: inflateEnd_1,
inflateGetHeader: inflateGetHeader_1,
inflateSetDictionary: inflateSetDictionary_1,
inflateInfo: inflateInfo
}; // (C) 1995-2013 Jean-loup Gailly and Mark Adler
// (C) 2014-2017 Vitaly Puzrin and Andrey Tupitsin
//
// This software is provided 'as-is', without any express or implied
// warranty. In no event will the authors be held liable for any damages
// arising from the use of this software.
//
// Permission is granted to anyone to use this software for any purpose,
// including commercial applications, and to alter it and redistribute it
// freely, subject to the following restrictions:
//
// 1. The origin of this software must not be misrepresented; you must not
// claim that you wrote the original software. If you use this software
// in a product, an acknowledgment in the product documentation would be
// appreciated but is not required.
// 2. Altered source versions must be plainly marked as such, and must not be
// misrepresented as being the original software.
// 3. This notice may not be removed or altered from any source distribution.
function GZheader() {
/* true if compressed data believed to be text */
this.text = 0;
/* modification time */
this.time = 0;
/* extra flags (not used when writing a gzip file) */
this.xflags = 0;
/* operating system */
this.os = 0;
/* pointer to extra field or Z_NULL if none */
this.extra = null;
/* extra field length (valid if extra != Z_NULL) */
this.extra_len = 0; // Actually, we don't need it in JS,
// but leave for few code modifications
//
// Setup limits is not necessary because in js we should not preallocate memory
// for inflate use constant limit in 65536 bytes
//
/* space at extra (only when reading header) */
// this.extra_max = 0;
/* pointer to zero-terminated file name or Z_NULL */
this.name = '';
/* space at name (only when reading header) */
// this.name_max = 0;
/* pointer to zero-terminated comment or Z_NULL */
this.comment = '';
/* space at comment (only when reading header) */
// this.comm_max = 0;
/* true if there was or will be a header crc */
this.hcrc = 0;
/* true when done reading gzip header (not used when writing a gzip file) */
this.done = false;
}
var gzheader = GZheader;
const toString$2 = Object.prototype.toString;
/* Public constants ==========================================================*/
/* ===========================================================================*/
const {
Z_NO_FLUSH,
Z_FINISH,
Z_OK,
Z_STREAM_END,
Z_NEED_DICT,
Z_STREAM_ERROR,
Z_DATA_ERROR,
Z_MEM_ERROR
} = constants$2;
/* ===========================================================================*/
/**
* class Inflate
*
* Generic JS-style wrapper for zlib calls. If you don't need
* streaming behaviour - use more simple functions: [[inflate]]
* and [[inflateRaw]].
**/
/* internal
* inflate.chunks -> Array
*
* Chunks of output data, if [[Inflate#onData]] not overridden.
**/
/**
* Inflate.result -> Uint8Array|String
*
* Uncompressed result, generated by default [[Inflate#onData]]
* and [[Inflate#onEnd]] handlers. Filled after you push last chunk
* (call [[Inflate#push]] with `Z_FINISH` / `true` param).
**/
/**
* Inflate.err -> Number
*
* Error code after inflate finished. 0 (Z_OK) on success.
* Should be checked if broken data possible.
**/
/**
* Inflate.msg -> String
*
* Error message, if [[Inflate.err]] != 0
**/
/**
* new Inflate(options)
* - options (Object): zlib inflate options.
*
* Creates new inflator instance with specified params. Throws exception
* on bad params. Supported options:
*
* - `windowBits`
* - `dictionary`
*
* [http://zlib.net/manual.html#Advanced](http://zlib.net/manual.html#Advanced)
* for more information on these.
*
* Additional options, for internal needs:
*
* - `chunkSize` - size of generated data chunks (16K by default)
* - `raw` (Boolean) - do raw inflate
* - `to` (String) - if equal to 'string', then result will be converted
* from utf8 to utf16 (javascript) string. When string output requested,
* chunk length can differ from `chunkSize`, depending on content.
*
* By default, when no options set, autodetect deflate/gzip data format via
* wrapper header.
*
* ##### Example:
*
* ```javascript
* const pako = require('pako')
* const chunk1 = new Uint8Array([1,2,3,4,5,6,7,8,9])
* const chunk2 = new Uint8Array([10,11,12,13,14,15,16,17,18,19]);
*
* const inflate = new pako.Inflate({ level: 3});
*
* inflate.push(chunk1, false);
* inflate.push(chunk2, true); // true -> last chunk
*
* if (inflate.err) { throw new Error(inflate.err); }
*
* console.log(inflate.result);
* ```
**/
function Inflate$1(options) {
this.options = common.assign({
chunkSize: 1024 * 64,
windowBits: 15,
to: ''
}, options || {});
const opt = this.options; // Force window size for `raw` data, if not set directly,
// because we have no header for autodetect.
if (opt.raw && opt.windowBits >= 0 && opt.windowBits < 16) {
opt.windowBits = -opt.windowBits;
if (opt.windowBits === 0) {
opt.windowBits = -15;
}
} // If `windowBits` not defined (and mode not raw) - set autodetect flag for gzip/deflate
if (opt.windowBits >= 0 && opt.windowBits < 16 && !(options && options.windowBits)) {
opt.windowBits += 32;
} // Gzip header has no info about windows size, we can do autodetect only
// for deflate. So, if window size not set, force it to max when gzip possible
if (opt.windowBits > 15 && opt.windowBits < 48) {
// bit 3 (16) -> gzipped data
// bit 4 (32) -> autodetect gzip/deflate
if ((opt.windowBits & 15) === 0) {
opt.windowBits |= 15;
}
}
this.err = 0; // error code, if happens (0 = Z_OK)
this.msg = ''; // error message
this.ended = false; // used to avoid multiple onEnd() calls
this.chunks = []; // chunks of compressed data
this.strm = new zstream();
this.strm.avail_out = 0;
let status = inflate_1$2.inflateInit2(this.strm, opt.windowBits);
if (status !== Z_OK) {
throw new Error(messages[status]);
}
this.header = new gzheader();
inflate_1$2.inflateGetHeader(this.strm, this.header); // Setup dictionary
if (opt.dictionary) {
// Convert data if needed
if (typeof opt.dictionary === 'string') {
opt.dictionary = strings.string2buf(opt.dictionary);
} else if (toString$2.call(opt.dictionary) === '[object ArrayBuffer]') {
opt.dictionary = new Uint8Array(opt.dictionary);
}
if (opt.raw) {
//In raw mode we need to set the dictionary early
status = inflate_1$2.inflateSetDictionary(this.strm, opt.dictionary);
if (status !== Z_OK) {
throw new Error(messages[status]);
}
}
}
}
/**
* Inflate#push(data[, flush_mode]) -> Boolean
* - data (Uint8Array|ArrayBuffer): input data
* - flush_mode (Number|Boolean): 0..6 for corresponding Z_NO_FLUSH..Z_TREE
* flush modes. See constants. Skipped or `false` means Z_NO_FLUSH,
* `true` means Z_FINISH.
*
* Sends input data to inflate pipe, generating [[Inflate#onData]] calls with
* new output chunks. Returns `true` on success. If end of stream detected,
* [[Inflate#onEnd]] will be called.
*
* `flush_mode` is not needed for normal operation, because end of stream
* detected automatically. You may try to use it for advanced things, but
* this functionality was not tested.
*
* On fail call [[Inflate#onEnd]] with error code and return false.
*
* ##### Example
*
* ```javascript
* push(chunk, false); // push one of data chunks
* ...
* push(chunk, true); // push last chunk
* ```
**/
Inflate$1.prototype.push = function (data, flush_mode) {
const strm = this.strm;
const chunkSize = this.options.chunkSize;
const dictionary = this.options.dictionary;
let status, _flush_mode, last_avail_out;
if (this.ended) return false;
if (flush_mode === ~~flush_mode) _flush_mode = flush_mode;else _flush_mode = flush_mode === true ? Z_FINISH : Z_NO_FLUSH; // Convert data if needed
if (toString$2.call(data) === '[object ArrayBuffer]') {
strm.input = new Uint8Array(data);
} else {
strm.input = data;
}
strm.next_in = 0;
strm.avail_in = strm.input.length;
for (;;) {
if (strm.avail_out === 0) {
strm.output = new Uint8Array(chunkSize);
strm.next_out = 0;
strm.avail_out = chunkSize;
}
status = inflate_1$2.inflate(strm, _flush_mode);
if (status === Z_NEED_DICT && dictionary) {
status = inflate_1$2.inflateSetDictionary(strm, dictionary);
if (status === Z_OK) {
status = inflate_1$2.inflate(strm, _flush_mode);
} else if (status === Z_DATA_ERROR) {
// Replace code with more verbose
status = Z_NEED_DICT;
}
} // Skip snyc markers if more data follows and not raw mode
while (strm.avail_in > 0 && status === Z_STREAM_END && strm.state.wrap > 0 && data[strm.next_in] !== 0) {
inflate_1$2.inflateReset(strm);
status = inflate_1$2.inflate(strm, _flush_mode);
}
switch (status) {
case Z_STREAM_ERROR:
case Z_DATA_ERROR:
case Z_NEED_DICT:
case Z_MEM_ERROR:
this.onEnd(status);
this.ended = true;
return false;
} // Remember real `avail_out` value, because we may patch out buffer content
// to align utf8 strings boundaries.
last_avail_out = strm.avail_out;
if (strm.next_out) {
if (strm.avail_out === 0 || status === Z_STREAM_END) {
if (this.options.to === 'string') {
let next_out_utf8 = strings.utf8border(strm.output, strm.next_out);
let tail = strm.next_out - next_out_utf8;
let utf8str = strings.buf2string(strm.output, next_out_utf8); // move tail & realign counters
strm.next_out = tail;
strm.avail_out = chunkSize - tail;
if (tail) strm.output.set(strm.output.subarray(next_out_utf8, next_out_utf8 + tail), 0);
this.onData(utf8str);
} else {
this.onData(strm.output.length === strm.next_out ? strm.output : strm.output.subarray(0, strm.next_out));
}
}
} // Must repeat iteration if out buffer is full
if (status === Z_OK && last_avail_out === 0) continue; // Finalize if end of stream reached.
if (status === Z_STREAM_END) {
status = inflate_1$2.inflateEnd(this.strm);
this.onEnd(status);
this.ended = true;
return true;
}
if (strm.avail_in === 0) break;
}
return true;
};
/**
* Inflate#onData(chunk) -> Void
* - chunk (Uint8Array|String): output data. When string output requested,
* each chunk will be string.
*
* By default, stores data blocks in `chunks[]` property and glue
* those in `onEnd`. Override this handler, if you need another behaviour.
**/
Inflate$1.prototype.onData = function (chunk) {
this.chunks.push(chunk);
};
/**
* Inflate#onEnd(status) -> Void
* - status (Number): inflate status. 0 (Z_OK) on success,
* other if not.
*
* Called either after you tell inflate that the input stream is
* complete (Z_FINISH). By default - join collected chunks,
* free memory and fill `results` / `err` properties.
**/
Inflate$1.prototype.onEnd = function (status) {
// On success - join
if (status === Z_OK) {
if (this.options.to === 'string') {
this.result = this.chunks.join('');
} else {
this.result = common.flattenChunks(this.chunks);
}
}
this.chunks = [];
this.err = status;
this.msg = this.strm.msg;
};
/**
* inflate(data[, options]) -> Uint8Array|String
* - data (Uint8Array): input data to decompress.
* - options (Object): zlib inflate options.
*
* Decompress `data` with inflate/ungzip and `options`. Autodetect
* format via wrapper header by default. That's why we don't provide
* separate `ungzip` method.
*
* Supported options are:
*
* - windowBits
*
* [http://zlib.net/manual.html#Advanced](http://zlib.net/manual.html#Advanced)
* for more information.
*
* Sugar (options):
*
* - `raw` (Boolean) - say that we work with raw stream, if you don't wish to specify
* negative windowBits implicitly.
* - `to` (String) - if equal to 'string', then result will be converted
* from utf8 to utf16 (javascript) string. When string output requested,
* chunk length can differ from `chunkSize`, depending on content.
*
*
* ##### Example:
*
* ```javascript
* const pako = require('pako');
* const input = pako.deflate(new Uint8Array([1,2,3,4,5,6,7,8,9]));
* let output;
*
* try {
* output = pako.inflate(input);
* } catch (err) {
* console.log(err);
* }
* ```
**/
function inflate$1(input, options) {
const inflator = new Inflate$1(options);
inflator.push(input); // That will never happens, if you don't cheat with options :)
if (inflator.err) throw inflator.msg || messages[inflator.err];
return inflator.result;
}
/**
* inflateRaw(data[, options]) -> Uint8Array|String
* - data (Uint8Array): input data to decompress.
* - options (Object): zlib inflate options.
*
* The same as [[inflate]], but creates raw data, without wrapper
* (header and adler32 crc).
**/
function inflateRaw$1(input, options) {
options = options || {};
options.raw = true;
return inflate$1(input, options);
}
/**
* ungzip(data[, options]) -> Uint8Array|String
* - data (Uint8Array): input data to decompress.
* - options (Object): zlib inflate options.
*
* Just shortcut to [[inflate]], because it autodetects format
* by header.content. Done for convenience.
**/
var Inflate_1$1 = Inflate$1;
var inflate_2 = inflate$1;
var inflateRaw_1$1 = inflateRaw$1;
var ungzip$1 = inflate$1;
var constants = constants$2;
var inflate_1$1 = {
Inflate: Inflate_1$1,
inflate: inflate_2,
inflateRaw: inflateRaw_1$1,
ungzip: ungzip$1,
constants: constants
};
const {
Deflate,
deflate,
deflateRaw,
gzip
} = deflate_1$1;
const {
Inflate,
inflate,
inflateRaw,
ungzip
} = inflate_1$1;
var deflate_1 = deflate;
var Inflate_1 = Inflate;
var inflate_1 = inflate;
const pngSignature = [137, 80, 78, 71, 13, 10, 26, 10];
const crcTable = [];
for (let n = 0; n < 256; n++) {
let c = n;
for (let k = 0; k < 8; k++) {
if (c & 1) {
c = 0xedb88320 ^ c >>> 1;
} else {
c = c >>> 1;
}
}
crcTable[n] = c;
}
const initialCrc = 0xffffffff;
function updateCrc(currentCrc, data, length) {
let c = currentCrc;
for (let n = 0; n < length; n++) {
c = crcTable[(c ^ data[n]) & 0xff] ^ c >>> 8;
}
return c;
}
function crc(data, length) {
return (updateCrc(initialCrc, data, length) ^ initialCrc) >>> 0;
}
var ColorType;
(function (ColorType) {
ColorType[ColorType["UNKNOWN"] = -1] = "UNKNOWN";
ColorType[ColorType["GREYSCALE"] = 0] = "GREYSCALE";
ColorType[ColorType["TRUECOLOUR"] = 2] = "TRUECOLOUR";
ColorType[ColorType["INDEXED_COLOUR"] = 3] = "INDEXED_COLOUR";
ColorType[ColorType["GREYSCALE_ALPHA"] = 4] = "GREYSCALE_ALPHA";
ColorType[ColorType["TRUECOLOUR_ALPHA"] = 6] = "TRUECOLOUR_ALPHA";
})(ColorType || (ColorType = {}));
var CompressionMethod;
(function (CompressionMethod) {
CompressionMethod[CompressionMethod["UNKNOWN"] = -1] = "UNKNOWN";
CompressionMethod[CompressionMethod["DEFLATE"] = 0] = "DEFLATE";
})(CompressionMethod || (CompressionMethod = {}));
var FilterMethod;
(function (FilterMethod) {
FilterMethod[FilterMethod["UNKNOWN"] = -1] = "UNKNOWN";
FilterMethod[FilterMethod["ADAPTIVE"] = 0] = "ADAPTIVE";
})(FilterMethod || (FilterMethod = {}));
var InterlaceMethod;
(function (InterlaceMethod) {
InterlaceMethod[InterlaceMethod["UNKNOWN"] = -1] = "UNKNOWN";
InterlaceMethod[InterlaceMethod["NO_INTERLACE"] = 0] = "NO_INTERLACE";
InterlaceMethod[InterlaceMethod["ADAM7"] = 1] = "ADAM7";
})(InterlaceMethod || (InterlaceMethod = {}));
const empty = new Uint8Array(0);
const NULL = '\0';
const uint16 = new Uint16Array([0x00ff]);
const uint8 = new Uint8Array(uint16.buffer);
const osIsLittleEndian = uint8[0] === 0xff;
class PngDecoder extends IOBuffer$4 {
constructor(data) {
let options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
super(data);
const {
checkCrc = false
} = options;
this._checkCrc = checkCrc;
this._inflator = new Inflate_1();
this._png = {
width: -1,
height: -1,
channels: -1,
data: new Uint8Array(0),
depth: 1,
text: {}
};
this._end = false;
this._hasPalette = false;
this._palette = [];
this._compressionMethod = CompressionMethod.UNKNOWN;
this._filterMethod = FilterMethod.UNKNOWN;
this._interlaceMethod = InterlaceMethod.UNKNOWN;
this._colorType = -1; // PNG is always big endian
// https://www.w3.org/TR/PNG/#7Integers-and-byte-order
this.setBigEndian();
}
decode() {
this.decodeSignature();
while (!this._end) {
this.decodeChunk();
}
this.decodeImage();
return this._png;
} // https://www.w3.org/TR/PNG/#5PNG-file-signature
decodeSignature() {
for (let i = 0; i < pngSignature.length; i++) {
if (this.readUint8() !== pngSignature[i]) {
throw new Error(`wrong PNG signature. Byte at ${i} should be ${pngSignature[i]}.`);
}
}
} // https://www.w3.org/TR/PNG/#5Chunk-layout
decodeChunk() {
const length = this.readUint32();
const type = this.readChars(4);
const offset = this.offset;
switch (type) {
// 11.2 Critical chunks
case 'IHDR':
// 11.2.2 IHDR Image header
this.decodeIHDR();
break;
case 'PLTE':
// 11.2.3 PLTE Palette
this.decodePLTE(length);
break;
case 'IDAT':
// 11.2.4 IDAT Image data
this.decodeIDAT(length);
break;
case 'IEND':
// 11.2.5 IEND Image trailer
this._end = true;
break;
// 11.3 Ancillary chunks
case 'tRNS':
// 11.3.2.1 tRNS Transparency
this.decodetRNS(length);
break;
case 'iCCP':
// 11.3.3.3 iCCP Embedded ICC profile
this.decodeiCCP(length);
break;
case 'tEXt':
// 11.3.4.3 tEXt Textual data
this.decodetEXt(length);
break;
case 'pHYs':
// 11.3.5.3 pHYs Physical pixel dimensions
this.decodepHYs();
break;
default:
this.skip(length);
break;
}
if (this.offset - offset !== length) {
throw new Error(`Length mismatch while decoding chunk ${type}`);
}
if (this._checkCrc) {
const expectedCrc = this.readUint32();
const crcLength = length + 4; // includes type
const actualCrc = crc(new Uint8Array(this.buffer, this.byteOffset + this.offset - crcLength - 4, crcLength), crcLength); // "- 4" because we already advanced by reading the CRC
if (actualCrc !== expectedCrc) {
throw new Error(`CRC mismatch for chunk ${type}. Expected ${expectedCrc}, found ${actualCrc}`);
}
} else {
this.skip(4);
}
} // https://www.w3.org/TR/PNG/#11IHDR
decodeIHDR() {
const image = this._png;
image.width = this.readUint32();
image.height = this.readUint32();
image.depth = checkBitDepth(this.readUint8());
const colorType = this.readUint8();
this._colorType = colorType;
let channels;
switch (colorType) {
case ColorType.GREYSCALE:
channels = 1;
break;
case ColorType.TRUECOLOUR:
channels = 3;
break;
case ColorType.INDEXED_COLOUR:
channels = 1;
break;
case ColorType.GREYSCALE_ALPHA:
channels = 2;
break;
case ColorType.TRUECOLOUR_ALPHA:
channels = 4;
break;
default:
throw new Error(`Unknown color type: ${colorType}`);
}
this._png.channels = channels;
this._compressionMethod = this.readUint8();
if (this._compressionMethod !== CompressionMethod.DEFLATE) {
throw new Error(`Unsupported compression method: ${this._compressionMethod}`);
}
this._filterMethod = this.readUint8();
this._interlaceMethod = this.readUint8();
} // https://www.w3.org/TR/PNG/#11PLTE
decodePLTE(length) {
if (length % 3 !== 0) {
throw new RangeError(`PLTE field length must be a multiple of 3. Got ${length}`);
}
const l = length / 3;
this._hasPalette = true;
const palette = [];
this._palette = palette;
for (let i = 0; i < l; i++) {
palette.push([this.readUint8(), this.readUint8(), this.readUint8()]);
}
} // https://www.w3.org/TR/PNG/#11IDAT
decodeIDAT(length) {
this._inflator.push(new Uint8Array(this.buffer, this.offset + this.byteOffset, length));
this.skip(length);
} // https://www.w3.org/TR/PNG/#11tRNS
decodetRNS(length) {
// TODO: support other color types.
if (this._colorType === 3) {
if (length > this._palette.length) {
throw new Error(`tRNS chunk contains more alpha values than there are palette colors (${length} vs ${this._palette.length})`);
}
let i = 0;
for (; i < length; i++) {
const alpha = this.readByte();
this._palette[i].push(alpha);
}
for (; i < this._palette.length; i++) {
this._palette[i].push(255);
}
}
} // https://www.w3.org/TR/PNG/#11iCCP
decodeiCCP(length) {
let name = '';
let char;
while ((char = this.readChar()) !== NULL) {
name += char;
}
const compressionMethod = this.readUint8();
if (compressionMethod !== CompressionMethod.DEFLATE) {
throw new Error(`Unsupported iCCP compression method: ${compressionMethod}`);
}
const compressedProfile = this.readBytes(length - name.length - 2);
this._png.iccEmbeddedProfile = {
name: name,
profile: inflate_1(compressedProfile)
};
} // https://www.w3.org/TR/PNG/#11tEXt
decodetEXt(length) {
let keyword = '';
let char;
while ((char = this.readChar()) !== NULL) {
keyword += char;
}
this._png.text[keyword] = this.readChars(length - keyword.length - 1);
} // https://www.w3.org/TR/PNG/#11pHYs
decodepHYs() {
const ppuX = this.readUint32();
const ppuY = this.readUint32();
const unitSpecifier = this.readByte();
this._png.resolution = {
x: ppuX,
y: ppuY,
unit: unitSpecifier
};
}
decodeImage() {
if (this._inflator.err) {
throw new Error(`Error while decompressing the data: ${this._inflator.err}`);
}
const data = this._inflator.result;
if (this._filterMethod !== FilterMethod.ADAPTIVE) {
throw new Error(`Filter method ${this._filterMethod} not supported`);
}
if (this._interlaceMethod === InterlaceMethod.NO_INTERLACE) {
this.decodeInterlaceNull(data);
} else {
throw new Error(`Interlace method ${this._interlaceMethod} not supported`);
}
}
decodeInterlaceNull(data) {
const height = this._png.height;
const bytesPerPixel = this._png.channels * this._png.depth / 8;
const bytesPerLine = this._png.width * bytesPerPixel;
const newData = new Uint8Array(this._png.height * bytesPerLine);
let prevLine = empty;
let offset = 0;
let currentLine;
let newLine;
for (let i = 0; i < height; i++) {
currentLine = data.subarray(offset + 1, offset + 1 + bytesPerLine);
newLine = newData.subarray(i * bytesPerLine, (i + 1) * bytesPerLine);
switch (data[offset]) {
case 0:
unfilterNone(currentLine, newLine, bytesPerLine);
break;
case 1:
unfilterSub(currentLine, newLine, bytesPerLine, bytesPerPixel);
break;
case 2:
unfilterUp(currentLine, newLine, prevLine, bytesPerLine);
break;
case 3:
unfilterAverage(currentLine, newLine, prevLine, bytesPerLine, bytesPerPixel);
break;
case 4:
unfilterPaeth(currentLine, newLine, prevLine, bytesPerLine, bytesPerPixel);
break;
default:
throw new Error(`Unsupported filter: ${data[offset]}`);
}
prevLine = newLine;
offset += bytesPerLine + 1;
}
if (this._hasPalette) {
this._png.palette = this._palette;
}
if (this._png.depth === 16) {
const uint16Data = new Uint16Array(newData.buffer);
if (osIsLittleEndian) {
for (let k = 0; k < uint16Data.length; k++) {
// PNG is always big endian. Swap the bytes.
uint16Data[k] = swap16(uint16Data[k]);
}
}
this._png.data = uint16Data;
} else {
this._png.data = newData;
}
}
}
function unfilterNone(currentLine, newLine, bytesPerLine) {
for (let i = 0; i < bytesPerLine; i++) {
newLine[i] = currentLine[i];
}
}
function unfilterSub(currentLine, newLine, bytesPerLine, bytesPerPixel) {
let i = 0;
for (; i < bytesPerPixel; i++) {
// just copy first bytes
newLine[i] = currentLine[i];
}
for (; i < bytesPerLine; i++) {
newLine[i] = currentLine[i] + newLine[i - bytesPerPixel] & 0xff;
}
}
function unfilterUp(currentLine, newLine, prevLine, bytesPerLine) {
let i = 0;
if (prevLine.length === 0) {
// just copy bytes for first line
for (; i < bytesPerLine; i++) {
newLine[i] = currentLine[i];
}
} else {
for (; i < bytesPerLine; i++) {
newLine[i] = currentLine[i] + prevLine[i] & 0xff;
}
}
}
function unfilterAverage(currentLine, newLine, prevLine, bytesPerLine, bytesPerPixel) {
let i = 0;
if (prevLine.length === 0) {
for (; i < bytesPerPixel; i++) {
newLine[i] = currentLine[i];
}
for (; i < bytesPerLine; i++) {
newLine[i] = currentLine[i] + (newLine[i - bytesPerPixel] >> 1) & 0xff;
}
} else {
for (; i < bytesPerPixel; i++) {
newLine[i] = currentLine[i] + (prevLine[i] >> 1) & 0xff;
}
for (; i < bytesPerLine; i++) {
newLine[i] = currentLine[i] + (newLine[i - bytesPerPixel] + prevLine[i] >> 1) & 0xff;
}
}
}
function unfilterPaeth(currentLine, newLine, prevLine, bytesPerLine, bytesPerPixel) {
let i = 0;
if (prevLine.length === 0) {
for (; i < bytesPerPixel; i++) {
newLine[i] = currentLine[i];
}
for (; i < bytesPerLine; i++) {
newLine[i] = currentLine[i] + newLine[i - bytesPerPixel] & 0xff;
}
} else {
for (; i < bytesPerPixel; i++) {
newLine[i] = currentLine[i] + prevLine[i] & 0xff;
}
for (; i < bytesPerLine; i++) {
newLine[i] = currentLine[i] + paethPredictor(newLine[i - bytesPerPixel], prevLine[i], prevLine[i - bytesPerPixel]) & 0xff;
}
}
}
function paethPredictor(a, b, c) {
const p = a + b - c;
const pa = Math.abs(p - a);
const pb = Math.abs(p - b);
const pc = Math.abs(p - c);
if (pa <= pb && pa <= pc) return a;else if (pb <= pc) return b;else return c;
}
function swap16(val) {
return (val & 0xff) << 8 | val >> 8 & 0xff;
}
function checkBitDepth(value) {
if (value !== 1 && value !== 2 && value !== 4 && value !== 8 && value !== 16) {
throw new Error(`invalid bit depth: ${value}`);
}
return value;
}
const defaultZlibOptions = {
level: 3
};
class PngEncoder extends IOBuffer$4 {
constructor(data) {
let options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
super();
this._colorType = ColorType.UNKNOWN;
this._zlibOptions = Object.assign({}, defaultZlibOptions, options.zlib);
this._png = this._checkData(data);
this.setBigEndian();
}
encode() {
this.encodeSignature();
this.encodeIHDR();
this.encodeData();
this.encodeIEND();
return this.toArray();
} // https://www.w3.org/TR/PNG/#5PNG-file-signature
encodeSignature() {
this.writeBytes(pngSignature);
} // https://www.w3.org/TR/PNG/#11IHDR
encodeIHDR() {
this.writeUint32(13);
this.writeChars('IHDR');
this.writeUint32(this._png.width);
this.writeUint32(this._png.height);
this.writeByte(this._png.depth);
this.writeByte(this._colorType);
this.writeByte(CompressionMethod.DEFLATE);
this.writeByte(FilterMethod.ADAPTIVE);
this.writeByte(InterlaceMethod.NO_INTERLACE);
this.writeCrc(17);
} // https://www.w3.org/TR/PNG/#11IEND
encodeIEND() {
this.writeUint32(0);
this.writeChars('IEND');
this.writeCrc(4);
} // https://www.w3.org/TR/PNG/#11IDAT
encodeIDAT(data) {
this.writeUint32(data.length);
this.writeChars('IDAT');
this.writeBytes(data);
this.writeCrc(data.length + 4);
}
encodeData() {
const {
width,
height,
channels,
depth,
data
} = this._png;
const slotsPerLine = channels * width;
const newData = new IOBuffer$4().setBigEndian();
let offset = 0;
for (let i = 0; i < height; i++) {
newData.writeByte(0); // no filter
/* istanbul ignore else */
if (depth === 8) {
offset = writeDataBytes(data, newData, slotsPerLine, offset);
} else if (depth === 16) {
offset = writeDataUint16(data, newData, slotsPerLine, offset);
} else {
throw new Error('unreachable');
}
}
const buffer = newData.toArray();
const compressed = deflate_1(buffer, this._zlibOptions);
this.encodeIDAT(compressed);
}
_checkData(data) {
const {
colorType,
channels,
depth
} = getColorType(data);
const png = {
width: checkInteger(data.width, 'width'),
height: checkInteger(data.height, 'height'),
channels: channels,
data: data.data,
depth: depth,
text: {}
};
this._colorType = colorType;
const expectedSize = png.width * png.height * channels;
if (png.data.length !== expectedSize) {
throw new RangeError(`wrong data size. Found ${png.data.length}, expected ${expectedSize}`);
}
return png;
}
writeCrc(length) {
this.writeUint32(crc(new Uint8Array(this.buffer, this.byteOffset + this.offset - length, length), length));
}
}
function checkInteger(value, name) {
if (Number.isInteger(value) && value > 0) {
return value;
}
throw new TypeError(`${name} must be a positive integer`);
}
function getColorType(data) {
const {
channels = 4,
depth = 8
} = data;
if (channels !== 4 && channels !== 3 && channels !== 2 && channels !== 1) {
throw new RangeError(`unsupported number of channels: ${channels}`);
}
if (depth !== 8 && depth !== 16) {
throw new RangeError(`unsupported bit depth: ${depth}`);
}
const returnValue = {
channels,
depth,
colorType: ColorType.UNKNOWN
};
switch (channels) {
case 4:
returnValue.colorType = ColorType.TRUECOLOUR_ALPHA;
break;
case 3:
returnValue.colorType = ColorType.TRUECOLOUR;
break;
case 1:
returnValue.colorType = ColorType.GREYSCALE;
break;
case 2:
returnValue.colorType = ColorType.GREYSCALE_ALPHA;
break;
default:
throw new Error('unsupported number of channels');
}
return returnValue;
}
function writeDataBytes(data, newData, slotsPerLine, offset) {
for (let j = 0; j < slotsPerLine; j++) {
newData.writeByte(data[offset++]);
}
return offset;
}
function writeDataUint16(data, newData, slotsPerLine, offset) {
for (let j = 0; j < slotsPerLine; j++) {
newData.writeUint16(data[offset++]);
}
return offset;
}
function decodePng(data, options) {
const decoder = new PngDecoder(data, options);
return decoder.decode();
}
function encodePng$1(png, options) {
const encoder = new PngEncoder(png, options);
return encoder.encode();
}
var encoder = {exports: {}};
/*
Copyright (c) 2008, Adobe Systems Incorporated
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:
* Redistributions of source code must retain the above copyright notice,
this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of Adobe Systems Incorporated nor the names of its
contributors may be used to endorse or promote products derived from
this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS
IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
(function (module) {
function JPEGEncoder(quality) {
var ffloor = Math.floor;
var YTable = new Array(64);
var UVTable = new Array(64);
var fdtbl_Y = new Array(64);
var fdtbl_UV = new Array(64);
var YDC_HT;
var UVDC_HT;
var YAC_HT;
var UVAC_HT;
var bitcode = new Array(65535);
var category = new Array(65535);
var outputfDCTQuant = new Array(64);
var DU = new Array(64);
var byteout = [];
var bytenew = 0;
var bytepos = 7;
var YDU = new Array(64);
var UDU = new Array(64);
var VDU = new Array(64);
var clt = new Array(256);
var RGB_YUV_TABLE = new Array(2048);
var currentQuality;
var ZigZag = [0, 1, 5, 6, 14, 15, 27, 28, 2, 4, 7, 13, 16, 26, 29, 42, 3, 8, 12, 17, 25, 30, 41, 43, 9, 11, 18, 24, 31, 40, 44, 53, 10, 19, 23, 32, 39, 45, 52, 54, 20, 22, 33, 38, 46, 51, 55, 60, 21, 34, 37, 47, 50, 56, 59, 61, 35, 36, 48, 49, 57, 58, 62, 63];
var std_dc_luminance_nrcodes = [0, 0, 1, 5, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0];
var std_dc_luminance_values = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11];
var std_ac_luminance_nrcodes = [0, 0, 2, 1, 3, 3, 2, 4, 3, 5, 5, 4, 4, 0, 0, 1, 0x7d];
var std_ac_luminance_values = [0x01, 0x02, 0x03, 0x00, 0x04, 0x11, 0x05, 0x12, 0x21, 0x31, 0x41, 0x06, 0x13, 0x51, 0x61, 0x07, 0x22, 0x71, 0x14, 0x32, 0x81, 0x91, 0xa1, 0x08, 0x23, 0x42, 0xb1, 0xc1, 0x15, 0x52, 0xd1, 0xf0, 0x24, 0x33, 0x62, 0x72, 0x82, 0x09, 0x0a, 0x16, 0x17, 0x18, 0x19, 0x1a, 0x25, 0x26, 0x27, 0x28, 0x29, 0x2a, 0x34, 0x35, 0x36, 0x37, 0x38, 0x39, 0x3a, 0x43, 0x44, 0x45, 0x46, 0x47, 0x48, 0x49, 0x4a, 0x53, 0x54, 0x55, 0x56, 0x57, 0x58, 0x59, 0x5a, 0x63, 0x64, 0x65, 0x66, 0x67, 0x68, 0x69, 0x6a, 0x73, 0x74, 0x75, 0x76, 0x77, 0x78, 0x79, 0x7a, 0x83, 0x84, 0x85, 0x86, 0x87, 0x88, 0x89, 0x8a, 0x92, 0x93, 0x94, 0x95, 0x96, 0x97, 0x98, 0x99, 0x9a, 0xa2, 0xa3, 0xa4, 0xa5, 0xa6, 0xa7, 0xa8, 0xa9, 0xaa, 0xb2, 0xb3, 0xb4, 0xb5, 0xb6, 0xb7, 0xb8, 0xb9, 0xba, 0xc2, 0xc3, 0xc4, 0xc5, 0xc6, 0xc7, 0xc8, 0xc9, 0xca, 0xd2, 0xd3, 0xd4, 0xd5, 0xd6, 0xd7, 0xd8, 0xd9, 0xda, 0xe1, 0xe2, 0xe3, 0xe4, 0xe5, 0xe6, 0xe7, 0xe8, 0xe9, 0xea, 0xf1, 0xf2, 0xf3, 0xf4, 0xf5, 0xf6, 0xf7, 0xf8, 0xf9, 0xfa];
var std_dc_chrominance_nrcodes = [0, 0, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0];
var std_dc_chrominance_values = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11];
var std_ac_chrominance_nrcodes = [0, 0, 2, 1, 2, 4, 4, 3, 4, 7, 5, 4, 4, 0, 1, 2, 0x77];
var std_ac_chrominance_values = [0x00, 0x01, 0x02, 0x03, 0x11, 0x04, 0x05, 0x21, 0x31, 0x06, 0x12, 0x41, 0x51, 0x07, 0x61, 0x71, 0x13, 0x22, 0x32, 0x81, 0x08, 0x14, 0x42, 0x91, 0xa1, 0xb1, 0xc1, 0x09, 0x23, 0x33, 0x52, 0xf0, 0x15, 0x62, 0x72, 0xd1, 0x0a, 0x16, 0x24, 0x34, 0xe1, 0x25, 0xf1, 0x17, 0x18, 0x19, 0x1a, 0x26, 0x27, 0x28, 0x29, 0x2a, 0x35, 0x36, 0x37, 0x38, 0x39, 0x3a, 0x43, 0x44, 0x45, 0x46, 0x47, 0x48, 0x49, 0x4a, 0x53, 0x54, 0x55, 0x56, 0x57, 0x58, 0x59, 0x5a, 0x63, 0x64, 0x65, 0x66, 0x67, 0x68, 0x69, 0x6a, 0x73, 0x74, 0x75, 0x76, 0x77, 0x78, 0x79, 0x7a, 0x82, 0x83, 0x84, 0x85, 0x86, 0x87, 0x88, 0x89, 0x8a, 0x92, 0x93, 0x94, 0x95, 0x96, 0x97, 0x98, 0x99, 0x9a, 0xa2, 0xa3, 0xa4, 0xa5, 0xa6, 0xa7, 0xa8, 0xa9, 0xaa, 0xb2, 0xb3, 0xb4, 0xb5, 0xb6, 0xb7, 0xb8, 0xb9, 0xba, 0xc2, 0xc3, 0xc4, 0xc5, 0xc6, 0xc7, 0xc8, 0xc9, 0xca, 0xd2, 0xd3, 0xd4, 0xd5, 0xd6, 0xd7, 0xd8, 0xd9, 0xda, 0xe2, 0xe3, 0xe4, 0xe5, 0xe6, 0xe7, 0xe8, 0xe9, 0xea, 0xf2, 0xf3, 0xf4, 0xf5, 0xf6, 0xf7, 0xf8, 0xf9, 0xfa];
function initQuantTables(sf) {
var YQT = [16, 11, 10, 16, 24, 40, 51, 61, 12, 12, 14, 19, 26, 58, 60, 55, 14, 13, 16, 24, 40, 57, 69, 56, 14, 17, 22, 29, 51, 87, 80, 62, 18, 22, 37, 56, 68, 109, 103, 77, 24, 35, 55, 64, 81, 104, 113, 92, 49, 64, 78, 87, 103, 121, 120, 101, 72, 92, 95, 98, 112, 100, 103, 99];
for (var i = 0; i < 64; i++) {
var t = ffloor((YQT[i] * sf + 50) / 100);
if (t < 1) {
t = 1;
} else if (t > 255) {
t = 255;
}
YTable[ZigZag[i]] = t;
}
var UVQT = [17, 18, 24, 47, 99, 99, 99, 99, 18, 21, 26, 66, 99, 99, 99, 99, 24, 26, 56, 99, 99, 99, 99, 99, 47, 66, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99];
for (var j = 0; j < 64; j++) {
var u = ffloor((UVQT[j] * sf + 50) / 100);
if (u < 1) {
u = 1;
} else if (u > 255) {
u = 255;
}
UVTable[ZigZag[j]] = u;
}
var aasf = [1.0, 1.387039845, 1.306562965, 1.175875602, 1.0, 0.785694958, 0.541196100, 0.275899379];
var k = 0;
for (var row = 0; row < 8; row++) {
for (var col = 0; col < 8; col++) {
fdtbl_Y[k] = 1.0 / (YTable[ZigZag[k]] * aasf[row] * aasf[col] * 8.0);
fdtbl_UV[k] = 1.0 / (UVTable[ZigZag[k]] * aasf[row] * aasf[col] * 8.0);
k++;
}
}
}
function computeHuffmanTbl(nrcodes, std_table) {
var codevalue = 0;
var pos_in_table = 0;
var HT = new Array();
for (var k = 1; k <= 16; k++) {
for (var j = 1; j <= nrcodes[k]; j++) {
HT[std_table[pos_in_table]] = [];
HT[std_table[pos_in_table]][0] = codevalue;
HT[std_table[pos_in_table]][1] = k;
pos_in_table++;
codevalue++;
}
codevalue *= 2;
}
return HT;
}
function initHuffmanTbl() {
YDC_HT = computeHuffmanTbl(std_dc_luminance_nrcodes, std_dc_luminance_values);
UVDC_HT = computeHuffmanTbl(std_dc_chrominance_nrcodes, std_dc_chrominance_values);
YAC_HT = computeHuffmanTbl(std_ac_luminance_nrcodes, std_ac_luminance_values);
UVAC_HT = computeHuffmanTbl(std_ac_chrominance_nrcodes, std_ac_chrominance_values);
}
function initCategoryNumber() {
var nrlower = 1;
var nrupper = 2;
for (var cat = 1; cat <= 15; cat++) {
//Positive numbers
for (var nr = nrlower; nr < nrupper; nr++) {
category[32767 + nr] = cat;
bitcode[32767 + nr] = [];
bitcode[32767 + nr][1] = cat;
bitcode[32767 + nr][0] = nr;
} //Negative numbers
for (var nrneg = -(nrupper - 1); nrneg <= -nrlower; nrneg++) {
category[32767 + nrneg] = cat;
bitcode[32767 + nrneg] = [];
bitcode[32767 + nrneg][1] = cat;
bitcode[32767 + nrneg][0] = nrupper - 1 + nrneg;
}
nrlower <<= 1;
nrupper <<= 1;
}
}
function initRGBYUVTable() {
for (var i = 0; i < 256; i++) {
RGB_YUV_TABLE[i] = 19595 * i;
RGB_YUV_TABLE[i + 256 >> 0] = 38470 * i;
RGB_YUV_TABLE[i + 512 >> 0] = 7471 * i + 0x8000;
RGB_YUV_TABLE[i + 768 >> 0] = -11059 * i;
RGB_YUV_TABLE[i + 1024 >> 0] = -21709 * i;
RGB_YUV_TABLE[i + 1280 >> 0] = 32768 * i + 0x807FFF;
RGB_YUV_TABLE[i + 1536 >> 0] = -27439 * i;
RGB_YUV_TABLE[i + 1792 >> 0] = -5329 * i;
}
} // IO functions
function writeBits(bs) {
var value = bs[0];
var posval = bs[1] - 1;
while (posval >= 0) {
if (value & 1 << posval) {
bytenew |= 1 << bytepos;
}
posval--;
bytepos--;
if (bytepos < 0) {
if (bytenew == 0xFF) {
writeByte(0xFF);
writeByte(0);
} else {
writeByte(bytenew);
}
bytepos = 7;
bytenew = 0;
}
}
}
function writeByte(value) {
//byteout.push(clt[value]); // write char directly instead of converting later
byteout.push(value);
}
function writeWord(value) {
writeByte(value >> 8 & 0xFF);
writeByte(value & 0xFF);
} // DCT & quantization core
function fDCTQuant(data, fdtbl) {
var d0, d1, d2, d3, d4, d5, d6, d7;
/* Pass 1: process rows. */
var dataOff = 0;
var i;
var I8 = 8;
var I64 = 64;
for (i = 0; i < I8; ++i) {
d0 = data[dataOff];
d1 = data[dataOff + 1];
d2 = data[dataOff + 2];
d3 = data[dataOff + 3];
d4 = data[dataOff + 4];
d5 = data[dataOff + 5];
d6 = data[dataOff + 6];
d7 = data[dataOff + 7];
var tmp0 = d0 + d7;
var tmp7 = d0 - d7;
var tmp1 = d1 + d6;
var tmp6 = d1 - d6;
var tmp2 = d2 + d5;
var tmp5 = d2 - d5;
var tmp3 = d3 + d4;
var tmp4 = d3 - d4;
/* Even part */
var tmp10 = tmp0 + tmp3;
/* phase 2 */
var tmp13 = tmp0 - tmp3;
var tmp11 = tmp1 + tmp2;
var tmp12 = tmp1 - tmp2;
data[dataOff] = tmp10 + tmp11;
/* phase 3 */
data[dataOff + 4] = tmp10 - tmp11;
var z1 = (tmp12 + tmp13) * 0.707106781;
/* c4 */
data[dataOff + 2] = tmp13 + z1;
/* phase 5 */
data[dataOff + 6] = tmp13 - z1;
/* Odd part */
tmp10 = tmp4 + tmp5;
/* phase 2 */
tmp11 = tmp5 + tmp6;
tmp12 = tmp6 + tmp7;
/* The rotator is modified from fig 4-8 to avoid extra negations. */
var z5 = (tmp10 - tmp12) * 0.382683433;
/* c6 */
var z2 = 0.541196100 * tmp10 + z5;
/* c2-c6 */
var z4 = 1.306562965 * tmp12 + z5;
/* c2+c6 */
var z3 = tmp11 * 0.707106781;
/* c4 */
var z11 = tmp7 + z3;
/* phase 5 */
var z13 = tmp7 - z3;
data[dataOff + 5] = z13 + z2;
/* phase 6 */
data[dataOff + 3] = z13 - z2;
data[dataOff + 1] = z11 + z4;
data[dataOff + 7] = z11 - z4;
dataOff += 8;
/* advance pointer to next row */
}
/* Pass 2: process columns. */
dataOff = 0;
for (i = 0; i < I8; ++i) {
d0 = data[dataOff];
d1 = data[dataOff + 8];
d2 = data[dataOff + 16];
d3 = data[dataOff + 24];
d4 = data[dataOff + 32];
d5 = data[dataOff + 40];
d6 = data[dataOff + 48];
d7 = data[dataOff + 56];
var tmp0p2 = d0 + d7;
var tmp7p2 = d0 - d7;
var tmp1p2 = d1 + d6;
var tmp6p2 = d1 - d6;
var tmp2p2 = d2 + d5;
var tmp5p2 = d2 - d5;
var tmp3p2 = d3 + d4;
var tmp4p2 = d3 - d4;
/* Even part */
var tmp10p2 = tmp0p2 + tmp3p2;
/* phase 2 */
var tmp13p2 = tmp0p2 - tmp3p2;
var tmp11p2 = tmp1p2 + tmp2p2;
var tmp12p2 = tmp1p2 - tmp2p2;
data[dataOff] = tmp10p2 + tmp11p2;
/* phase 3 */
data[dataOff + 32] = tmp10p2 - tmp11p2;
var z1p2 = (tmp12p2 + tmp13p2) * 0.707106781;
/* c4 */
data[dataOff + 16] = tmp13p2 + z1p2;
/* phase 5 */
data[dataOff + 48] = tmp13p2 - z1p2;
/* Odd part */
tmp10p2 = tmp4p2 + tmp5p2;
/* phase 2 */
tmp11p2 = tmp5p2 + tmp6p2;
tmp12p2 = tmp6p2 + tmp7p2;
/* The rotator is modified from fig 4-8 to avoid extra negations. */
var z5p2 = (tmp10p2 - tmp12p2) * 0.382683433;
/* c6 */
var z2p2 = 0.541196100 * tmp10p2 + z5p2;
/* c2-c6 */
var z4p2 = 1.306562965 * tmp12p2 + z5p2;
/* c2+c6 */
var z3p2 = tmp11p2 * 0.707106781;
/* c4 */
var z11p2 = tmp7p2 + z3p2;
/* phase 5 */
var z13p2 = tmp7p2 - z3p2;
data[dataOff + 40] = z13p2 + z2p2;
/* phase 6 */
data[dataOff + 24] = z13p2 - z2p2;
data[dataOff + 8] = z11p2 + z4p2;
data[dataOff + 56] = z11p2 - z4p2;
dataOff++;
/* advance pointer to next column */
} // Quantize/descale the coefficients
var fDCTQuant;
for (i = 0; i < I64; ++i) {
// Apply the quantization and scaling factor & Round to nearest integer
fDCTQuant = data[i] * fdtbl[i];
outputfDCTQuant[i] = fDCTQuant > 0.0 ? fDCTQuant + 0.5 | 0 : fDCTQuant - 0.5 | 0; //outputfDCTQuant[i] = fround(fDCTQuant);
}
return outputfDCTQuant;
}
function writeAPP0() {
writeWord(0xFFE0); // marker
writeWord(16); // length
writeByte(0x4A); // J
writeByte(0x46); // F
writeByte(0x49); // I
writeByte(0x46); // F
writeByte(0); // = "JFIF",'\0'
writeByte(1); // versionhi
writeByte(1); // versionlo
writeByte(0); // xyunits
writeWord(1); // xdensity
writeWord(1); // ydensity
writeByte(0); // thumbnwidth
writeByte(0); // thumbnheight
}
function writeAPP1(exifBuffer) {
if (!exifBuffer) return;
writeWord(0xFFE1); // APP1 marker
if (exifBuffer[0] === 0x45 && exifBuffer[1] === 0x78 && exifBuffer[2] === 0x69 && exifBuffer[3] === 0x66) {
// Buffer already starts with EXIF, just use it directly
writeWord(exifBuffer.length + 2); // length is buffer + length itself!
} else {
// Buffer doesn't start with EXIF, write it for them
writeWord(exifBuffer.length + 5 + 2); // length is buffer + EXIF\0 + length itself!
writeByte(0x45); // E
writeByte(0x78); // X
writeByte(0x69); // I
writeByte(0x66); // F
writeByte(0); // = "EXIF",'\0'
}
for (var i = 0; i < exifBuffer.length; i++) {
writeByte(exifBuffer[i]);
}
}
function writeSOF0(width, height) {
writeWord(0xFFC0); // marker
writeWord(17); // length, truecolor YUV JPG
writeByte(8); // precision
writeWord(height);
writeWord(width);
writeByte(3); // nrofcomponents
writeByte(1); // IdY
writeByte(0x11); // HVY
writeByte(0); // QTY
writeByte(2); // IdU
writeByte(0x11); // HVU
writeByte(1); // QTU
writeByte(3); // IdV
writeByte(0x11); // HVV
writeByte(1); // QTV
}
function writeDQT() {
writeWord(0xFFDB); // marker
writeWord(132); // length
writeByte(0);
for (var i = 0; i < 64; i++) {
writeByte(YTable[i]);
}
writeByte(1);
for (var j = 0; j < 64; j++) {
writeByte(UVTable[j]);
}
}
function writeDHT() {
writeWord(0xFFC4); // marker
writeWord(0x01A2); // length
writeByte(0); // HTYDCinfo
for (var i = 0; i < 16; i++) {
writeByte(std_dc_luminance_nrcodes[i + 1]);
}
for (var j = 0; j <= 11; j++) {
writeByte(std_dc_luminance_values[j]);
}
writeByte(0x10); // HTYACinfo
for (var k = 0; k < 16; k++) {
writeByte(std_ac_luminance_nrcodes[k + 1]);
}
for (var l = 0; l <= 161; l++) {
writeByte(std_ac_luminance_values[l]);
}
writeByte(1); // HTUDCinfo
for (var m = 0; m < 16; m++) {
writeByte(std_dc_chrominance_nrcodes[m + 1]);
}
for (var n = 0; n <= 11; n++) {
writeByte(std_dc_chrominance_values[n]);
}
writeByte(0x11); // HTUACinfo
for (var o = 0; o < 16; o++) {
writeByte(std_ac_chrominance_nrcodes[o + 1]);
}
for (var p = 0; p <= 161; p++) {
writeByte(std_ac_chrominance_values[p]);
}
}
function writeCOM(comments) {
if (typeof comments === "undefined" || comments.constructor !== Array) return;
comments.forEach(e => {
if (typeof e !== "string") return;
writeWord(0xFFFE); // marker
var l = e.length;
writeWord(l + 2); // length itself as well
var i;
for (i = 0; i < l; i++) writeByte(e.charCodeAt(i));
});
}
function writeSOS() {
writeWord(0xFFDA); // marker
writeWord(12); // length
writeByte(3); // nrofcomponents
writeByte(1); // IdY
writeByte(0); // HTY
writeByte(2); // IdU
writeByte(0x11); // HTU
writeByte(3); // IdV
writeByte(0x11); // HTV
writeByte(0); // Ss
writeByte(0x3f); // Se
writeByte(0); // Bf
}
function processDU(CDU, fdtbl, DC, HTDC, HTAC) {
var EOB = HTAC[0x00];
var M16zeroes = HTAC[0xF0];
var pos;
var I16 = 16;
var I63 = 63;
var I64 = 64;
var DU_DCT = fDCTQuant(CDU, fdtbl); //ZigZag reorder
for (var j = 0; j < I64; ++j) {
DU[ZigZag[j]] = DU_DCT[j];
}
var Diff = DU[0] - DC;
DC = DU[0]; //Encode DC
if (Diff == 0) {
writeBits(HTDC[0]); // Diff might be 0
} else {
pos = 32767 + Diff;
writeBits(HTDC[category[pos]]);
writeBits(bitcode[pos]);
} //Encode ACs
var end0pos = 63; // was const... which is crazy
for (; end0pos > 0 && DU[end0pos] == 0; end0pos--) {}
if (end0pos == 0) {
writeBits(EOB);
return DC;
}
var i = 1;
var lng;
while (i <= end0pos) {
var startpos = i;
for (; DU[i] == 0 && i <= end0pos; ++i) {}
var nrzeroes = i - startpos;
if (nrzeroes >= I16) {
lng = nrzeroes >> 4;
for (var nrmarker = 1; nrmarker <= lng; ++nrmarker) writeBits(M16zeroes);
nrzeroes = nrzeroes & 0xF;
}
pos = 32767 + DU[i];
writeBits(HTAC[(nrzeroes << 4) + category[pos]]);
writeBits(bitcode[pos]);
i++;
}
if (end0pos != I63) {
writeBits(EOB);
}
return DC;
}
function initCharLookupTable() {
var sfcc = String.fromCharCode;
for (var i = 0; i < 256; i++) {
///// ACHTUNG // 255
clt[i] = sfcc(i);
}
}
this.encode = function (image, quality) // image data object
{
new Date().getTime();
if (quality) setQuality(quality); // Initialize bit writer
byteout = new Array();
bytenew = 0;
bytepos = 7; // Add JPEG headers
writeWord(0xFFD8); // SOI
writeAPP0();
writeCOM(image.comments);
writeAPP1(image.exifBuffer);
writeDQT();
writeSOF0(image.width, image.height);
writeDHT();
writeSOS(); // Encode 8x8 macroblocks
var DCY = 0;
var DCU = 0;
var DCV = 0;
bytenew = 0;
bytepos = 7;
this.encode.displayName = "_encode_";
var imageData = image.data;
var width = image.width;
var height = image.height;
var quadWidth = width * 4;
var x,
y = 0;
var r, g, b;
var start, p, col, row, pos;
while (y < height) {
x = 0;
while (x < quadWidth) {
start = quadWidth * y + x;
p = start;
col = -1;
row = 0;
for (pos = 0; pos < 64; pos++) {
row = pos >> 3; // /8
col = (pos & 7) * 4; // %8
p = start + row * quadWidth + col;
if (y + row >= height) {
// padding bottom
p -= quadWidth * (y + 1 + row - height);
}
if (x + col >= quadWidth) {
// padding right
p -= x + col - quadWidth + 4;
}
r = imageData[p++];
g = imageData[p++];
b = imageData[p++];
/* // calculate YUV values dynamically
YDU[pos]=((( 0.29900)*r+( 0.58700)*g+( 0.11400)*b))-128; //-0x80
UDU[pos]=(((-0.16874)*r+(-0.33126)*g+( 0.50000)*b));
VDU[pos]=((( 0.50000)*r+(-0.41869)*g+(-0.08131)*b));
*/
// use lookup table (slightly faster)
YDU[pos] = (RGB_YUV_TABLE[r] + RGB_YUV_TABLE[g + 256 >> 0] + RGB_YUV_TABLE[b + 512 >> 0] >> 16) - 128;
UDU[pos] = (RGB_YUV_TABLE[r + 768 >> 0] + RGB_YUV_TABLE[g + 1024 >> 0] + RGB_YUV_TABLE[b + 1280 >> 0] >> 16) - 128;
VDU[pos] = (RGB_YUV_TABLE[r + 1280 >> 0] + RGB_YUV_TABLE[g + 1536 >> 0] + RGB_YUV_TABLE[b + 1792 >> 0] >> 16) - 128;
}
DCY = processDU(YDU, fdtbl_Y, DCY, YDC_HT, YAC_HT);
DCU = processDU(UDU, fdtbl_UV, DCU, UVDC_HT, UVAC_HT);
DCV = processDU(VDU, fdtbl_UV, DCV, UVDC_HT, UVAC_HT);
x += 32;
}
y += 8;
} ////////////////////////////////////////////////////////////////
// Do the bit alignment of the EOI marker
if (bytepos >= 0) {
var fillbits = [];
fillbits[1] = bytepos + 1;
fillbits[0] = (1 << bytepos + 1) - 1;
writeBits(fillbits);
}
writeWord(0xFFD9); //EOI
return Buffer.from(byteout);
};
function setQuality(quality) {
if (quality <= 0) {
quality = 1;
}
if (quality > 100) {
quality = 100;
}
if (currentQuality == quality) return; // don't recalc if unchanged
var sf = 0;
if (quality < 50) {
sf = Math.floor(5000 / quality);
} else {
sf = Math.floor(200 - quality * 2);
}
initQuantTables(sf);
currentQuality = quality; //console.log('Quality set to: '+quality +'%');
}
function init() {
var time_start = new Date().getTime();
if (!quality) quality = 50; // Create tables
initCharLookupTable();
initHuffmanTbl();
initCategoryNumber();
initRGBYUVTable();
setQuality(quality);
new Date().getTime() - time_start; //console.log('Initialization '+ duration + 'ms');
}
init();
}
{
module.exports = encode;
}
function encode(imgData, qu) {
if (typeof qu === 'undefined') qu = 50;
var encoder = new JPEGEncoder(qu);
var data = encoder.encode(imgData, qu);
return {
data: data,
width: imgData.width,
height: imgData.height
};
} // helper function to get the imageData of an existing image on the current page.
})(encoder);
var decoder = {exports: {}};
/* -*- tab-width: 2; indent-tabs-mode: nil; c-basic-offset: 2 -*- /
/* vim: set shiftwidth=2 tabstop=2 autoindent cindent expandtab: */
(function (module) {
/*
Copyright 2011 notmasteryet
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
*/
// - The JPEG specification can be found in the ITU CCITT Recommendation T.81
// (www.w3.org/Graphics/JPEG/itu-t81.pdf)
// - The JFIF specification can be found in the JPEG File Interchange Format
// (www.w3.org/Graphics/JPEG/jfif3.pdf)
// - The Adobe Application-Specific JPEG markers in the Supporting the DCT Filters
// in PostScript Level 2, Technical Note #5116
// (partners.adobe.com/public/developer/en/ps/sdk/5116.DCT_Filter.pdf)
var JpegImage = function jpegImage() {
var dctZigZag = new Int32Array([0, 1, 8, 16, 9, 2, 3, 10, 17, 24, 32, 25, 18, 11, 4, 5, 12, 19, 26, 33, 40, 48, 41, 34, 27, 20, 13, 6, 7, 14, 21, 28, 35, 42, 49, 56, 57, 50, 43, 36, 29, 22, 15, 23, 30, 37, 44, 51, 58, 59, 52, 45, 38, 31, 39, 46, 53, 60, 61, 54, 47, 55, 62, 63]);
var dctCos1 = 4017; // cos(pi/16)
var dctSin1 = 799; // sin(pi/16)
var dctCos3 = 3406; // cos(3*pi/16)
var dctSin3 = 2276; // sin(3*pi/16)
var dctCos6 = 1567; // cos(6*pi/16)
var dctSin6 = 3784; // sin(6*pi/16)
var dctSqrt2 = 5793; // sqrt(2)
var dctSqrt1d2 = 2896; // sqrt(2) / 2
function constructor() {}
function buildHuffmanTable(codeLengths, values) {
var k = 0,
code = [],
i,
j,
length = 16;
while (length > 0 && !codeLengths[length - 1]) length--;
code.push({
children: [],
index: 0
});
var p = code[0],
q;
for (i = 0; i < length; i++) {
for (j = 0; j < codeLengths[i]; j++) {
p = code.pop();
p.children[p.index] = values[k];
while (p.index > 0) {
if (code.length === 0) throw new Error('Could not recreate Huffman Table');
p = code.pop();
}
p.index++;
code.push(p);
while (code.length <= i) {
code.push(q = {
children: [],
index: 0
});
p.children[p.index] = q.children;
p = q;
}
k++;
}
if (i + 1 < length) {
// p here points to last code
code.push(q = {
children: [],
index: 0
});
p.children[p.index] = q.children;
p = q;
}
}
return code[0].children;
}
function decodeScan(data, offset, frame, components, resetInterval, spectralStart, spectralEnd, successivePrev, successive, opts) {
frame.precision;
frame.samplesPerLine;
frame.scanLines;
var mcusPerLine = frame.mcusPerLine;
var progressive = frame.progressive;
frame.maxH;
frame.maxV;
var startOffset = offset,
bitsData = 0,
bitsCount = 0;
function readBit() {
if (bitsCount > 0) {
bitsCount--;
return bitsData >> bitsCount & 1;
}
bitsData = data[offset++];
if (bitsData == 0xFF) {
var nextByte = data[offset++];
if (nextByte) {
throw new Error("unexpected marker: " + (bitsData << 8 | nextByte).toString(16));
} // unstuff 0
}
bitsCount = 7;
return bitsData >>> 7;
}
function decodeHuffman(tree) {
var node = tree,
bit;
while ((bit = readBit()) !== null) {
node = node[bit];
if (typeof node === 'number') return node;
if (typeof node !== 'object') throw new Error("invalid huffman sequence");
}
return null;
}
function receive(length) {
var n = 0;
while (length > 0) {
var bit = readBit();
if (bit === null) return;
n = n << 1 | bit;
length--;
}
return n;
}
function receiveAndExtend(length) {
var n = receive(length);
if (n >= 1 << length - 1) return n;
return n + (-1 << length) + 1;
}
function decodeBaseline(component, zz) {
var t = decodeHuffman(component.huffmanTableDC);
var diff = t === 0 ? 0 : receiveAndExtend(t);
zz[0] = component.pred += diff;
var k = 1;
while (k < 64) {
var rs = decodeHuffman(component.huffmanTableAC);
var s = rs & 15,
r = rs >> 4;
if (s === 0) {
if (r < 15) break;
k += 16;
continue;
}
k += r;
var z = dctZigZag[k];
zz[z] = receiveAndExtend(s);
k++;
}
}
function decodeDCFirst(component, zz) {
var t = decodeHuffman(component.huffmanTableDC);
var diff = t === 0 ? 0 : receiveAndExtend(t) << successive;
zz[0] = component.pred += diff;
}
function decodeDCSuccessive(component, zz) {
zz[0] |= readBit() << successive;
}
var eobrun = 0;
function decodeACFirst(component, zz) {
if (eobrun > 0) {
eobrun--;
return;
}
var k = spectralStart,
e = spectralEnd;
while (k <= e) {
var rs = decodeHuffman(component.huffmanTableAC);
var s = rs & 15,
r = rs >> 4;
if (s === 0) {
if (r < 15) {
eobrun = receive(r) + (1 << r) - 1;
break;
}
k += 16;
continue;
}
k += r;
var z = dctZigZag[k];
zz[z] = receiveAndExtend(s) * (1 << successive);
k++;
}
}
var successiveACState = 0,
successiveACNextValue;
function decodeACSuccessive(component, zz) {
var k = spectralStart,
e = spectralEnd,
r = 0;
while (k <= e) {
var z = dctZigZag[k];
var direction = zz[z] < 0 ? -1 : 1;
switch (successiveACState) {
case 0:
// initial state
var rs = decodeHuffman(component.huffmanTableAC);
var s = rs & 15,
r = rs >> 4;
if (s === 0) {
if (r < 15) {
eobrun = receive(r) + (1 << r);
successiveACState = 4;
} else {
r = 16;
successiveACState = 1;
}
} else {
if (s !== 1) throw new Error("invalid ACn encoding");
successiveACNextValue = receiveAndExtend(s);
successiveACState = r ? 2 : 3;
}
continue;
case 1: // skipping r zero items
case 2:
if (zz[z]) zz[z] += (readBit() << successive) * direction;else {
r--;
if (r === 0) successiveACState = successiveACState == 2 ? 3 : 0;
}
break;
case 3:
// set value for a zero item
if (zz[z]) zz[z] += (readBit() << successive) * direction;else {
zz[z] = successiveACNextValue << successive;
successiveACState = 0;
}
break;
case 4:
// eob
if (zz[z]) zz[z] += (readBit() << successive) * direction;
break;
}
k++;
}
if (successiveACState === 4) {
eobrun--;
if (eobrun === 0) successiveACState = 0;
}
}
function decodeMcu(component, decode, mcu, row, col) {
var mcuRow = mcu / mcusPerLine | 0;
var mcuCol = mcu % mcusPerLine;
var blockRow = mcuRow * component.v + row;
var blockCol = mcuCol * component.h + col; // If the block is missing and we're in tolerant mode, just skip it.
if (component.blocks[blockRow] === undefined && opts.tolerantDecoding) return;
decode(component, component.blocks[blockRow][blockCol]);
}
function decodeBlock(component, decode, mcu) {
var blockRow = mcu / component.blocksPerLine | 0;
var blockCol = mcu % component.blocksPerLine; // If the block is missing and we're in tolerant mode, just skip it.
if (component.blocks[blockRow] === undefined && opts.tolerantDecoding) return;
decode(component, component.blocks[blockRow][blockCol]);
}
var componentsLength = components.length;
var component, i, j, k, n;
var decodeFn;
if (progressive) {
if (spectralStart === 0) decodeFn = successivePrev === 0 ? decodeDCFirst : decodeDCSuccessive;else decodeFn = successivePrev === 0 ? decodeACFirst : decodeACSuccessive;
} else {
decodeFn = decodeBaseline;
}
var mcu = 0,
marker;
var mcuExpected;
if (componentsLength == 1) {
mcuExpected = components[0].blocksPerLine * components[0].blocksPerColumn;
} else {
mcuExpected = mcusPerLine * frame.mcusPerColumn;
}
if (!resetInterval) resetInterval = mcuExpected;
var h, v;
while (mcu < mcuExpected) {
// reset interval stuff
for (i = 0; i < componentsLength; i++) components[i].pred = 0;
eobrun = 0;
if (componentsLength == 1) {
component = components[0];
for (n = 0; n < resetInterval; n++) {
decodeBlock(component, decodeFn, mcu);
mcu++;
}
} else {
for (n = 0; n < resetInterval; n++) {
for (i = 0; i < componentsLength; i++) {
component = components[i];
h = component.h;
v = component.v;
for (j = 0; j < v; j++) {
for (k = 0; k < h; k++) {
decodeMcu(component, decodeFn, mcu, j, k);
}
}
}
mcu++; // If we've reached our expected MCU's, stop decoding
if (mcu === mcuExpected) break;
}
}
if (mcu === mcuExpected) {
// Skip trailing bytes at the end of the scan - until we reach the next marker
do {
if (data[offset] === 0xFF) {
if (data[offset + 1] !== 0x00) {
break;
}
}
offset += 1;
} while (offset < data.length - 2);
} // find marker
bitsCount = 0;
marker = data[offset] << 8 | data[offset + 1];
if (marker < 0xFF00) {
throw new Error("marker was not found");
}
if (marker >= 0xFFD0 && marker <= 0xFFD7) {
// RSTx
offset += 2;
} else break;
}
return offset - startOffset;
}
function buildComponentData(frame, component) {
var lines = [];
var blocksPerLine = component.blocksPerLine;
var blocksPerColumn = component.blocksPerColumn;
var samplesPerLine = blocksPerLine << 3; // Only 1 used per invocation of this function and garbage collected after invocation, so no need to account for its memory footprint.
var R = new Int32Array(64),
r = new Uint8Array(64); // A port of poppler's IDCT method which in turn is taken from:
// Christoph Loeffler, Adriaan Ligtenberg, George S. Moschytz,
// "Practical Fast 1-D DCT Algorithms with 11 Multiplications",
// IEEE Intl. Conf. on Acoustics, Speech & Signal Processing, 1989,
// 988-991.
function quantizeAndInverse(zz, dataOut, dataIn) {
var qt = component.quantizationTable;
var v0, v1, v2, v3, v4, v5, v6, v7, t;
var p = dataIn;
var i; // dequant
for (i = 0; i < 64; i++) p[i] = zz[i] * qt[i]; // inverse DCT on rows
for (i = 0; i < 8; ++i) {
var row = 8 * i; // check for all-zero AC coefficients
if (p[1 + row] == 0 && p[2 + row] == 0 && p[3 + row] == 0 && p[4 + row] == 0 && p[5 + row] == 0 && p[6 + row] == 0 && p[7 + row] == 0) {
t = dctSqrt2 * p[0 + row] + 512 >> 10;
p[0 + row] = t;
p[1 + row] = t;
p[2 + row] = t;
p[3 + row] = t;
p[4 + row] = t;
p[5 + row] = t;
p[6 + row] = t;
p[7 + row] = t;
continue;
} // stage 4
v0 = dctSqrt2 * p[0 + row] + 128 >> 8;
v1 = dctSqrt2 * p[4 + row] + 128 >> 8;
v2 = p[2 + row];
v3 = p[6 + row];
v4 = dctSqrt1d2 * (p[1 + row] - p[7 + row]) + 128 >> 8;
v7 = dctSqrt1d2 * (p[1 + row] + p[7 + row]) + 128 >> 8;
v5 = p[3 + row] << 4;
v6 = p[5 + row] << 4; // stage 3
t = v0 - v1 + 1 >> 1;
v0 = v0 + v1 + 1 >> 1;
v1 = t;
t = v2 * dctSin6 + v3 * dctCos6 + 128 >> 8;
v2 = v2 * dctCos6 - v3 * dctSin6 + 128 >> 8;
v3 = t;
t = v4 - v6 + 1 >> 1;
v4 = v4 + v6 + 1 >> 1;
v6 = t;
t = v7 + v5 + 1 >> 1;
v5 = v7 - v5 + 1 >> 1;
v7 = t; // stage 2
t = v0 - v3 + 1 >> 1;
v0 = v0 + v3 + 1 >> 1;
v3 = t;
t = v1 - v2 + 1 >> 1;
v1 = v1 + v2 + 1 >> 1;
v2 = t;
t = v4 * dctSin3 + v7 * dctCos3 + 2048 >> 12;
v4 = v4 * dctCos3 - v7 * dctSin3 + 2048 >> 12;
v7 = t;
t = v5 * dctSin1 + v6 * dctCos1 + 2048 >> 12;
v5 = v5 * dctCos1 - v6 * dctSin1 + 2048 >> 12;
v6 = t; // stage 1
p[0 + row] = v0 + v7;
p[7 + row] = v0 - v7;
p[1 + row] = v1 + v6;
p[6 + row] = v1 - v6;
p[2 + row] = v2 + v5;
p[5 + row] = v2 - v5;
p[3 + row] = v3 + v4;
p[4 + row] = v3 - v4;
} // inverse DCT on columns
for (i = 0; i < 8; ++i) {
var col = i; // check for all-zero AC coefficients
if (p[1 * 8 + col] == 0 && p[2 * 8 + col] == 0 && p[3 * 8 + col] == 0 && p[4 * 8 + col] == 0 && p[5 * 8 + col] == 0 && p[6 * 8 + col] == 0 && p[7 * 8 + col] == 0) {
t = dctSqrt2 * dataIn[i + 0] + 8192 >> 14;
p[0 * 8 + col] = t;
p[1 * 8 + col] = t;
p[2 * 8 + col] = t;
p[3 * 8 + col] = t;
p[4 * 8 + col] = t;
p[5 * 8 + col] = t;
p[6 * 8 + col] = t;
p[7 * 8 + col] = t;
continue;
} // stage 4
v0 = dctSqrt2 * p[0 * 8 + col] + 2048 >> 12;
v1 = dctSqrt2 * p[4 * 8 + col] + 2048 >> 12;
v2 = p[2 * 8 + col];
v3 = p[6 * 8 + col];
v4 = dctSqrt1d2 * (p[1 * 8 + col] - p[7 * 8 + col]) + 2048 >> 12;
v7 = dctSqrt1d2 * (p[1 * 8 + col] + p[7 * 8 + col]) + 2048 >> 12;
v5 = p[3 * 8 + col];
v6 = p[5 * 8 + col]; // stage 3
t = v0 - v1 + 1 >> 1;
v0 = v0 + v1 + 1 >> 1;
v1 = t;
t = v2 * dctSin6 + v3 * dctCos6 + 2048 >> 12;
v2 = v2 * dctCos6 - v3 * dctSin6 + 2048 >> 12;
v3 = t;
t = v4 - v6 + 1 >> 1;
v4 = v4 + v6 + 1 >> 1;
v6 = t;
t = v7 + v5 + 1 >> 1;
v5 = v7 - v5 + 1 >> 1;
v7 = t; // stage 2
t = v0 - v3 + 1 >> 1;
v0 = v0 + v3 + 1 >> 1;
v3 = t;
t = v1 - v2 + 1 >> 1;
v1 = v1 + v2 + 1 >> 1;
v2 = t;
t = v4 * dctSin3 + v7 * dctCos3 + 2048 >> 12;
v4 = v4 * dctCos3 - v7 * dctSin3 + 2048 >> 12;
v7 = t;
t = v5 * dctSin1 + v6 * dctCos1 + 2048 >> 12;
v5 = v5 * dctCos1 - v6 * dctSin1 + 2048 >> 12;
v6 = t; // stage 1
p[0 * 8 + col] = v0 + v7;
p[7 * 8 + col] = v0 - v7;
p[1 * 8 + col] = v1 + v6;
p[6 * 8 + col] = v1 - v6;
p[2 * 8 + col] = v2 + v5;
p[5 * 8 + col] = v2 - v5;
p[3 * 8 + col] = v3 + v4;
p[4 * 8 + col] = v3 - v4;
} // convert to 8-bit integers
for (i = 0; i < 64; ++i) {
var sample = 128 + (p[i] + 8 >> 4);
dataOut[i] = sample < 0 ? 0 : sample > 0xFF ? 0xFF : sample;
}
}
requestMemoryAllocation(samplesPerLine * blocksPerColumn * 8);
var i, j;
for (var blockRow = 0; blockRow < blocksPerColumn; blockRow++) {
var scanLine = blockRow << 3;
for (i = 0; i < 8; i++) lines.push(new Uint8Array(samplesPerLine));
for (var blockCol = 0; blockCol < blocksPerLine; blockCol++) {
quantizeAndInverse(component.blocks[blockRow][blockCol], r, R);
var offset = 0,
sample = blockCol << 3;
for (j = 0; j < 8; j++) {
var line = lines[scanLine + j];
for (i = 0; i < 8; i++) line[sample + i] = r[offset++];
}
}
}
return lines;
}
function clampTo8bit(a) {
return a < 0 ? 0 : a > 255 ? 255 : a;
}
constructor.prototype = {
load: function load(path) {
var xhr = new XMLHttpRequest();
xhr.open("GET", path, true);
xhr.responseType = "arraybuffer";
xhr.onload = function () {
// TODO catch parse error
var data = new Uint8Array(xhr.response || xhr.mozResponseArrayBuffer);
this.parse(data);
if (this.onload) this.onload();
}.bind(this);
xhr.send(null);
},
parse: function parse(data) {
var maxResolutionInPixels = this.opts.maxResolutionInMP * 1000 * 1000;
var offset = 0;
data.length;
function readUint16() {
var value = data[offset] << 8 | data[offset + 1];
offset += 2;
return value;
}
function readDataBlock() {
var length = readUint16();
var array = data.subarray(offset, offset + length - 2);
offset += array.length;
return array;
}
function prepareComponents(frame) {
// According to the JPEG standard, the sampling factor must be between 1 and 4
// See https://github.com/libjpeg-turbo/libjpeg-turbo/blob/9abeff46d87bd201a952e276f3e4339556a403a3/libjpeg.txt#L1138-L1146
var maxH = 1,
maxV = 1;
var component, componentId;
for (componentId in frame.components) {
if (frame.components.hasOwnProperty(componentId)) {
component = frame.components[componentId];
if (maxH < component.h) maxH = component.h;
if (maxV < component.v) maxV = component.v;
}
}
var mcusPerLine = Math.ceil(frame.samplesPerLine / 8 / maxH);
var mcusPerColumn = Math.ceil(frame.scanLines / 8 / maxV);
for (componentId in frame.components) {
if (frame.components.hasOwnProperty(componentId)) {
component = frame.components[componentId];
var blocksPerLine = Math.ceil(Math.ceil(frame.samplesPerLine / 8) * component.h / maxH);
var blocksPerColumn = Math.ceil(Math.ceil(frame.scanLines / 8) * component.v / maxV);
var blocksPerLineForMcu = mcusPerLine * component.h;
var blocksPerColumnForMcu = mcusPerColumn * component.v;
var blocksToAllocate = blocksPerColumnForMcu * blocksPerLineForMcu;
var blocks = []; // Each block is a Int32Array of length 64 (4 x 64 = 256 bytes)
requestMemoryAllocation(blocksToAllocate * 256);
for (var i = 0; i < blocksPerColumnForMcu; i++) {
var row = [];
for (var j = 0; j < blocksPerLineForMcu; j++) row.push(new Int32Array(64));
blocks.push(row);
}
component.blocksPerLine = blocksPerLine;
component.blocksPerColumn = blocksPerColumn;
component.blocks = blocks;
}
}
frame.maxH = maxH;
frame.maxV = maxV;
frame.mcusPerLine = mcusPerLine;
frame.mcusPerColumn = mcusPerColumn;
}
var jfif = null;
var adobe = null;
var frame, resetInterval;
var quantizationTables = [],
frames = [];
var huffmanTablesAC = [],
huffmanTablesDC = [];
var fileMarker = readUint16();
var malformedDataOffset = -1;
this.comments = [];
if (fileMarker != 0xFFD8) {
// SOI (Start of Image)
throw new Error("SOI not found");
}
fileMarker = readUint16();
while (fileMarker != 0xFFD9) {
// EOI (End of image)
var i, j;
switch (fileMarker) {
case 0xFF00:
break;
case 0xFFE0: // APP0 (Application Specific)
case 0xFFE1: // APP1
case 0xFFE2: // APP2
case 0xFFE3: // APP3
case 0xFFE4: // APP4
case 0xFFE5: // APP5
case 0xFFE6: // APP6
case 0xFFE7: // APP7
case 0xFFE8: // APP8
case 0xFFE9: // APP9
case 0xFFEA: // APP10
case 0xFFEB: // APP11
case 0xFFEC: // APP12
case 0xFFED: // APP13
case 0xFFEE: // APP14
case 0xFFEF: // APP15
case 0xFFFE:
// COM (Comment)
var appData = readDataBlock();
if (fileMarker === 0xFFFE) {
var comment = String.fromCharCode.apply(null, appData);
this.comments.push(comment);
}
if (fileMarker === 0xFFE0) {
if (appData[0] === 0x4A && appData[1] === 0x46 && appData[2] === 0x49 && appData[3] === 0x46 && appData[4] === 0) {
// 'JFIF\x00'
jfif = {
version: {
major: appData[5],
minor: appData[6]
},
densityUnits: appData[7],
xDensity: appData[8] << 8 | appData[9],
yDensity: appData[10] << 8 | appData[11],
thumbWidth: appData[12],
thumbHeight: appData[13],
thumbData: appData.subarray(14, 14 + 3 * appData[12] * appData[13])
};
}
} // TODO APP1 - Exif
if (fileMarker === 0xFFE1) {
if (appData[0] === 0x45 && appData[1] === 0x78 && appData[2] === 0x69 && appData[3] === 0x66 && appData[4] === 0) {
// 'EXIF\x00'
this.exifBuffer = appData.subarray(5, appData.length);
}
}
if (fileMarker === 0xFFEE) {
if (appData[0] === 0x41 && appData[1] === 0x64 && appData[2] === 0x6F && appData[3] === 0x62 && appData[4] === 0x65 && appData[5] === 0) {
// 'Adobe\x00'
adobe = {
version: appData[6],
flags0: appData[7] << 8 | appData[8],
flags1: appData[9] << 8 | appData[10],
transformCode: appData[11]
};
}
}
break;
case 0xFFDB:
// DQT (Define Quantization Tables)
var quantizationTablesLength = readUint16();
var quantizationTablesEnd = quantizationTablesLength + offset - 2;
while (offset < quantizationTablesEnd) {
var quantizationTableSpec = data[offset++];
requestMemoryAllocation(64 * 4);
var tableData = new Int32Array(64);
if (quantizationTableSpec >> 4 === 0) {
// 8 bit values
for (j = 0; j < 64; j++) {
var z = dctZigZag[j];
tableData[z] = data[offset++];
}
} else if (quantizationTableSpec >> 4 === 1) {
//16 bit
for (j = 0; j < 64; j++) {
var z = dctZigZag[j];
tableData[z] = readUint16();
}
} else throw new Error("DQT: invalid table spec");
quantizationTables[quantizationTableSpec & 15] = tableData;
}
break;
case 0xFFC0: // SOF0 (Start of Frame, Baseline DCT)
case 0xFFC1: // SOF1 (Start of Frame, Extended DCT)
case 0xFFC2:
// SOF2 (Start of Frame, Progressive DCT)
readUint16(); // skip data length
frame = {};
frame.extended = fileMarker === 0xFFC1;
frame.progressive = fileMarker === 0xFFC2;
frame.precision = data[offset++];
frame.scanLines = readUint16();
frame.samplesPerLine = readUint16();
frame.components = {};
frame.componentsOrder = [];
var pixelsInFrame = frame.scanLines * frame.samplesPerLine;
if (pixelsInFrame > maxResolutionInPixels) {
var exceededAmount = Math.ceil((pixelsInFrame - maxResolutionInPixels) / 1e6);
throw new Error(`maxResolutionInMP limit exceeded by ${exceededAmount}MP`);
}
var componentsCount = data[offset++],
componentId;
for (i = 0; i < componentsCount; i++) {
componentId = data[offset];
var h = data[offset + 1] >> 4;
var v = data[offset + 1] & 15;
var qId = data[offset + 2];
if (h <= 0 || v <= 0) {
throw new Error('Invalid sampling factor, expected values above 0');
}
frame.componentsOrder.push(componentId);
frame.components[componentId] = {
h: h,
v: v,
quantizationIdx: qId
};
offset += 3;
}
prepareComponents(frame);
frames.push(frame);
break;
case 0xFFC4:
// DHT (Define Huffman Tables)
var huffmanLength = readUint16();
for (i = 2; i < huffmanLength;) {
var huffmanTableSpec = data[offset++];
var codeLengths = new Uint8Array(16);
var codeLengthSum = 0;
for (j = 0; j < 16; j++, offset++) {
codeLengthSum += codeLengths[j] = data[offset];
}
requestMemoryAllocation(16 + codeLengthSum);
var huffmanValues = new Uint8Array(codeLengthSum);
for (j = 0; j < codeLengthSum; j++, offset++) huffmanValues[j] = data[offset];
i += 17 + codeLengthSum;
(huffmanTableSpec >> 4 === 0 ? huffmanTablesDC : huffmanTablesAC)[huffmanTableSpec & 15] = buildHuffmanTable(codeLengths, huffmanValues);
}
break;
case 0xFFDD:
// DRI (Define Restart Interval)
readUint16(); // skip data length
resetInterval = readUint16();
break;
case 0xFFDC:
// Number of Lines marker
readUint16(); // skip data length
readUint16(); // Ignore this data since it represents the image height
break;
case 0xFFDA:
// SOS (Start of Scan)
readUint16();
var selectorsCount = data[offset++];
var components = [],
component;
for (i = 0; i < selectorsCount; i++) {
component = frame.components[data[offset++]];
var tableSpec = data[offset++];
component.huffmanTableDC = huffmanTablesDC[tableSpec >> 4];
component.huffmanTableAC = huffmanTablesAC[tableSpec & 15];
components.push(component);
}
var spectralStart = data[offset++];
var spectralEnd = data[offset++];
var successiveApproximation = data[offset++];
var processed = decodeScan(data, offset, frame, components, resetInterval, spectralStart, spectralEnd, successiveApproximation >> 4, successiveApproximation & 15, this.opts);
offset += processed;
break;
case 0xFFFF:
// Fill bytes
if (data[offset] !== 0xFF) {
// Avoid skipping a valid marker.
offset--;
}
break;
default:
if (data[offset - 3] == 0xFF && data[offset - 2] >= 0xC0 && data[offset - 2] <= 0xFE) {
// could be incorrect encoding -- last 0xFF byte of the previous
// block was eaten by the encoder
offset -= 3;
break;
} else if (fileMarker === 0xE0 || fileMarker == 0xE1) {
// Recover from malformed APP1 markers popular in some phone models.
// See https://github.com/eugeneware/jpeg-js/issues/82
if (malformedDataOffset !== -1) {
throw new Error(`first unknown JPEG marker at offset ${malformedDataOffset.toString(16)}, second unknown JPEG marker ${fileMarker.toString(16)} at offset ${(offset - 1).toString(16)}`);
}
malformedDataOffset = offset - 1;
const nextOffset = readUint16();
if (data[offset + nextOffset - 2] === 0xFF) {
offset += nextOffset - 2;
break;
}
}
throw new Error("unknown JPEG marker " + fileMarker.toString(16));
}
fileMarker = readUint16();
}
if (frames.length != 1) throw new Error("only single frame JPEGs supported"); // set each frame's components quantization table
for (var i = 0; i < frames.length; i++) {
var cp = frames[i].components;
for (var j in cp) {
cp[j].quantizationTable = quantizationTables[cp[j].quantizationIdx];
delete cp[j].quantizationIdx;
}
}
this.width = frame.samplesPerLine;
this.height = frame.scanLines;
this.jfif = jfif;
this.adobe = adobe;
this.components = [];
for (var i = 0; i < frame.componentsOrder.length; i++) {
var component = frame.components[frame.componentsOrder[i]];
this.components.push({
lines: buildComponentData(frame, component),
scaleX: component.h / frame.maxH,
scaleY: component.v / frame.maxV
});
}
},
getData: function getData(width, height) {
var scaleX = this.width / width,
scaleY = this.height / height;
var component1, component2, component3, component4;
var component1Line, component2Line, component3Line, component4Line;
var x, y;
var offset = 0;
var Y, Cb, Cr, K, C, M, Ye, R, G, B;
var colorTransform;
var dataLength = width * height * this.components.length;
requestMemoryAllocation(dataLength);
var data = new Uint8Array(dataLength);
switch (this.components.length) {
case 1:
component1 = this.components[0];
for (y = 0; y < height; y++) {
component1Line = component1.lines[0 | y * component1.scaleY * scaleY];
for (x = 0; x < width; x++) {
Y = component1Line[0 | x * component1.scaleX * scaleX];
data[offset++] = Y;
}
}
break;
case 2:
// PDF might compress two component data in custom colorspace
component1 = this.components[0];
component2 = this.components[1];
for (y = 0; y < height; y++) {
component1Line = component1.lines[0 | y * component1.scaleY * scaleY];
component2Line = component2.lines[0 | y * component2.scaleY * scaleY];
for (x = 0; x < width; x++) {
Y = component1Line[0 | x * component1.scaleX * scaleX];
data[offset++] = Y;
Y = component2Line[0 | x * component2.scaleX * scaleX];
data[offset++] = Y;
}
}
break;
case 3:
// The default transform for three components is true
colorTransform = true; // The adobe transform marker overrides any previous setting
if (this.adobe && this.adobe.transformCode) colorTransform = true;else if (typeof this.opts.colorTransform !== 'undefined') colorTransform = !!this.opts.colorTransform;
component1 = this.components[0];
component2 = this.components[1];
component3 = this.components[2];
for (y = 0; y < height; y++) {
component1Line = component1.lines[0 | y * component1.scaleY * scaleY];
component2Line = component2.lines[0 | y * component2.scaleY * scaleY];
component3Line = component3.lines[0 | y * component3.scaleY * scaleY];
for (x = 0; x < width; x++) {
if (!colorTransform) {
R = component1Line[0 | x * component1.scaleX * scaleX];
G = component2Line[0 | x * component2.scaleX * scaleX];
B = component3Line[0 | x * component3.scaleX * scaleX];
} else {
Y = component1Line[0 | x * component1.scaleX * scaleX];
Cb = component2Line[0 | x * component2.scaleX * scaleX];
Cr = component3Line[0 | x * component3.scaleX * scaleX];
R = clampTo8bit(Y + 1.402 * (Cr - 128));
G = clampTo8bit(Y - 0.3441363 * (Cb - 128) - 0.71413636 * (Cr - 128));
B = clampTo8bit(Y + 1.772 * (Cb - 128));
}
data[offset++] = R;
data[offset++] = G;
data[offset++] = B;
}
}
break;
case 4:
if (!this.adobe) throw new Error('Unsupported color mode (4 components)'); // The default transform for four components is false
colorTransform = false; // The adobe transform marker overrides any previous setting
if (this.adobe && this.adobe.transformCode) colorTransform = true;else if (typeof this.opts.colorTransform !== 'undefined') colorTransform = !!this.opts.colorTransform;
component1 = this.components[0];
component2 = this.components[1];
component3 = this.components[2];
component4 = this.components[3];
for (y = 0; y < height; y++) {
component1Line = component1.lines[0 | y * component1.scaleY * scaleY];
component2Line = component2.lines[0 | y * component2.scaleY * scaleY];
component3Line = component3.lines[0 | y * component3.scaleY * scaleY];
component4Line = component4.lines[0 | y * component4.scaleY * scaleY];
for (x = 0; x < width; x++) {
if (!colorTransform) {
C = component1Line[0 | x * component1.scaleX * scaleX];
M = component2Line[0 | x * component2.scaleX * scaleX];
Ye = component3Line[0 | x * component3.scaleX * scaleX];
K = component4Line[0 | x * component4.scaleX * scaleX];
} else {
Y = component1Line[0 | x * component1.scaleX * scaleX];
Cb = component2Line[0 | x * component2.scaleX * scaleX];
Cr = component3Line[0 | x * component3.scaleX * scaleX];
K = component4Line[0 | x * component4.scaleX * scaleX];
C = 255 - clampTo8bit(Y + 1.402 * (Cr - 128));
M = 255 - clampTo8bit(Y - 0.3441363 * (Cb - 128) - 0.71413636 * (Cr - 128));
Ye = 255 - clampTo8bit(Y + 1.772 * (Cb - 128));
}
data[offset++] = 255 - C;
data[offset++] = 255 - M;
data[offset++] = 255 - Ye;
data[offset++] = 255 - K;
}
}
break;
default:
throw new Error('Unsupported color mode');
}
return data;
},
copyToImageData: function copyToImageData(imageData, formatAsRGBA) {
var width = imageData.width,
height = imageData.height;
var imageDataArray = imageData.data;
var data = this.getData(width, height);
var i = 0,
j = 0,
x,
y;
var Y, K, C, M, R, G, B;
switch (this.components.length) {
case 1:
for (y = 0; y < height; y++) {
for (x = 0; x < width; x++) {
Y = data[i++];
imageDataArray[j++] = Y;
imageDataArray[j++] = Y;
imageDataArray[j++] = Y;
if (formatAsRGBA) {
imageDataArray[j++] = 255;
}
}
}
break;
case 3:
for (y = 0; y < height; y++) {
for (x = 0; x < width; x++) {
R = data[i++];
G = data[i++];
B = data[i++];
imageDataArray[j++] = R;
imageDataArray[j++] = G;
imageDataArray[j++] = B;
if (formatAsRGBA) {
imageDataArray[j++] = 255;
}
}
}
break;
case 4:
for (y = 0; y < height; y++) {
for (x = 0; x < width; x++) {
C = data[i++];
M = data[i++];
Y = data[i++];
K = data[i++];
R = 255 - clampTo8bit(C * (1 - K / 255) + K);
G = 255 - clampTo8bit(M * (1 - K / 255) + K);
B = 255 - clampTo8bit(Y * (1 - K / 255) + K);
imageDataArray[j++] = R;
imageDataArray[j++] = G;
imageDataArray[j++] = B;
if (formatAsRGBA) {
imageDataArray[j++] = 255;
}
}
}
break;
default:
throw new Error('Unsupported color mode');
}
}
}; // We cap the amount of memory used by jpeg-js to avoid unexpected OOMs from untrusted content.
var totalBytesAllocated = 0;
var maxMemoryUsageBytes = 0;
function requestMemoryAllocation() {
let increaseAmount = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : 0;
var totalMemoryImpactBytes = totalBytesAllocated + increaseAmount;
if (totalMemoryImpactBytes > maxMemoryUsageBytes) {
var exceededAmount = Math.ceil((totalMemoryImpactBytes - maxMemoryUsageBytes) / 1024 / 1024);
throw new Error(`maxMemoryUsageInMB limit exceeded by at least ${exceededAmount}MB`);
}
totalBytesAllocated = totalMemoryImpactBytes;
}
constructor.resetMaxMemoryUsage = function (maxMemoryUsageBytes_) {
totalBytesAllocated = 0;
maxMemoryUsageBytes = maxMemoryUsageBytes_;
};
constructor.getBytesAllocated = function () {
return totalBytesAllocated;
};
constructor.requestMemoryAllocation = requestMemoryAllocation;
return constructor;
}();
{
module.exports = decode;
}
function decode(jpegData) {
let userOpts = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
var defaultOpts = {
// "undefined" means "Choose whether to transform colors based on the image’s color model."
colorTransform: undefined,
useTArray: false,
formatAsRGBA: true,
tolerantDecoding: true,
maxResolutionInMP: 100,
// Don't decode more than 100 megapixels
maxMemoryUsageInMB: 512 // Don't decode if memory footprint is more than 512MB
};
var opts = { ...defaultOpts,
...userOpts
};
var arr = new Uint8Array(jpegData);
var decoder = new JpegImage();
decoder.opts = opts; // If this constructor ever supports async decoding this will need to be done differently.
// Until then, treating as singleton limit is fine.
JpegImage.resetMaxMemoryUsage(opts.maxMemoryUsageInMB * 1024 * 1024);
decoder.parse(arr);
var channels = opts.formatAsRGBA ? 4 : 3;
var bytesNeeded = decoder.width * decoder.height * channels;
try {
JpegImage.requestMemoryAllocation(bytesNeeded);
var image = {
width: decoder.width,
height: decoder.height,
exifBuffer: decoder.exifBuffer,
data: opts.useTArray ? new Uint8Array(bytesNeeded) : Buffer.alloc(bytesNeeded)
};
if (decoder.comments.length > 0) {
image["comments"] = decoder.comments;
}
} catch (err) {
if (err instanceof RangeError) {
throw new Error("Could not allocate enough memory for the image. " + "Required: " + bytesNeeded);
}
if (err instanceof ReferenceError) {
if (err.message === "Buffer is not defined") {
throw new Error("Buffer is not globally defined in this environment. " + "Consider setting useTArray to true");
}
}
throw err;
}
decoder.copyToImageData(image, opts.formatAsRGBA);
return image;
}
})(decoder);
var encode$1 = encoder.exports,
decode$4 = decoder.exports;
var jpegJs = {
encode: encode$1,
decode: decode$4
};
/*
* base64-arraybuffer
* https://github.com/niklasvh/base64-arraybuffer
*
* Copyright (c) 2012 Niklas von Hertzen
* Licensed under the MIT license.
*/
let chars = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/'; // Use a lookup table to find the index.
let lookup = new Uint8Array(256);
for (let i = 0; i < chars.length; i++) {
lookup[chars.charCodeAt(i)] = i;
}
function encode(bytes) {
let i;
let len = bytes.length;
let base64 = '';
for (i = 0; i < len; i += 3) {
base64 += chars[bytes[i] >> 2];
base64 += chars[(bytes[i] & 3) << 4 | bytes[i + 1] >> 4];
base64 += chars[(bytes[i + 1] & 15) << 2 | bytes[i + 2] >> 6];
base64 += chars[bytes[i + 2] & 63];
}
if (len % 3 === 2) {
base64 = `${base64.substring(0, base64.length - 1)}=`;
} else if (len % 3 === 1) {
base64 = `${base64.substring(0, base64.length - 2)}==`;
}
return base64;
}
function decode$3(base64) {
let bufferLength = base64.length * 0.75;
let len = base64.length;
let p = 0;
let encoded1, encoded2, encoded3, encoded4;
if (base64[base64.length - 1] === '=') {
bufferLength--;
if (base64[base64.length - 2] === '=') {
bufferLength--;
}
}
const bytes = new Uint8Array(bufferLength);
for (let i = 0; i < len; i += 4) {
encoded1 = lookup[base64.charCodeAt(i)];
encoded2 = lookup[base64.charCodeAt(i + 1)];
encoded3 = lookup[base64.charCodeAt(i + 2)];
encoded4 = lookup[base64.charCodeAt(i + 3)];
bytes[p++] = encoded1 << 2 | encoded2 >> 4;
bytes[p++] = (encoded2 & 15) << 4 | encoded3 >> 2;
bytes[p++] = (encoded3 & 3) << 6 | encoded4 & 63;
}
return bytes;
}
function toBase64URL(u8, type) {
const base64 = encode(u8);
return `data:${type};base64,${base64}`;
}
const ImageData = self.ImageData;
const DOMImage = self.Image;
function createCanvas(width, height) {
let canvas = self.document.createElement('canvas');
canvas.width = width;
canvas.height = height;
return canvas;
}
function fetchBinary(url) {
let {
withCredentials = false
} = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
return new Promise(function (resolve, reject) {
let xhr = new self.XMLHttpRequest();
xhr.open('GET', url, true);
xhr.responseType = 'arraybuffer';
xhr.withCredentials = withCredentials;
xhr.onload = function (e) {
if (this.status !== 200) reject(e);else resolve(this.response);
};
xhr.onerror = reject;
xhr.send();
});
}
function createWriteStream() {
throw new Error('createWriteStream does not exist in the browser');
}
function writeFile() {
throw new Error('writeFile does not exist in the browser');
}
function getType(type) {
if (!type.includes('/')) {
type = `image/${type}`;
}
return type;
}
function encodeJpeg(image) {
let options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
const data = {
width: image.width,
height: image.height,
data: image.getRGBAData()
};
return jpegJs.encode(data, options.quality).data;
}
function encodePng(image, options) {
const data = {
width: image.width,
height: image.height,
channels: image.channels,
depth: image.bitDepth,
data: image.data
};
if (data.depth === 1 || data.depth === 32) {
data.depth = 8;
data.channels = 4;
data.data = image.getRGBAData();
}
return encodePng$1(data, options);
}
const exportMethods = {
/**
* Save the image to disk (Node.js only)
* @memberof Image
* @instance
* @param {string} path
* @param {object} [options]
* @param {string} [options.format] - One of: png, jpg, bmp (limited support for bmp). If not specified will try to infer from filename
* @param {boolean} [options.useCanvas=false] - Force use of the canvas API to save the image instead of a JavaScript implementation
* @param {object} [options.encoder] - Specify options for the encoder if applicable.
* @return {Promise} - Resolves when the file is fully written
*/
save(path) {
let options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
const {
useCanvas = false,
encoder: encoderOptions = undefined
} = options;
let {
format
} = options;
if (!format) {
// try to infer format from filename
const m = /\.(?[a-zA-Z]+)$/.exec(path);
if (m) {
format = m.groups.format.toLowerCase();
}
}
if (!format) {
throw new Error('file format not provided');
}
return new Promise((resolve, reject) => {
let stream, buffer;
switch (format.toLowerCase()) {
case 'png':
{
if (useCanvas) {
stream = this.getCanvas().pngStream();
} else {
buffer = encodePng(this, encoderOptions);
}
break;
}
case 'jpg':
case 'jpeg':
if (useCanvas) {
stream = this.getCanvas().jpegStream();
} else {
buffer = encodeJpeg(this, encoderOptions);
}
break;
case 'bmp':
buffer = encode$2(this, encoderOptions);
break;
default:
throw new RangeError(`invalid output format: ${format}`);
}
if (stream) {
let out = createWriteStream();
out.on('finish', resolve);
out.on('error', reject);
stream.pipe(out);
} else if (buffer) {
writeFile();
}
});
},
/**
* Creates a dataURL string from the image.
* @memberof Image
* @instance
* @param {string} [type='image/png']
* @param {object} [options]
* @param {boolean} [options.useCanvas=false] - Force use of the canvas API to save the image instead of JavaScript implementation.
* @param {object} [options.encoder] - Specify options for the encoder if applicable.
* @return {string|Promise}
*/
toDataURL() {
let type = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : 'image/png';
let options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
if (typeof type === 'object') {
options = type;
type = 'image/png';
}
const {
useCanvas = false,
encoder: encoderOptions = undefined
} = options;
type = getType(type);
function dataUrl(encoder, ctx) {
const u8 = encoder(ctx, encoderOptions);
return toBase64URL(u8, type);
}
if (type === 'image/bmp') {
return dataUrl(encode$2, this);
} else if (type === 'image/png' && !useCanvas) {
return dataUrl(encodePng, this);
} else if (type === 'image/jpeg' && !useCanvas) {
return dataUrl(encodeJpeg, this);
} else {
return this.getCanvas().toDataURL(type);
}
},
/**
* Encodes the image and returns a buffer
* @memberof Image
* @instance
* @param {object} [options]
* @param {string} [options.format='png']
* @param {object} [options.encoder] - Specify options for the encoder if applicable.
* @return {Uint8Array}
*/
toBuffer() {
let options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};
const {
format = 'png',
encoder: encoderOptions = undefined
} = options;
switch (format.toLowerCase()) {
case 'png':
return encodePng(this, encoderOptions);
case 'jpeg':
case 'jpg':
return encodeJpeg(this, encoderOptions);
case 'bmp':
return encode$2(this, encoderOptions);
default:
throw new RangeError(`invalid output format: ${format}`);
}
},
/**
* Creates a base64 string from the image.
* @memberof Image
* @instance
* @param {string} [type='image/png']
* @param {object} [options] - Same options as toDataURL
* @return {string|Promise}
*/
toBase64() {
let type = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : 'image/png';
let options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
if (options.async) {
return this.toDataURL(type, options).then(function (dataURL) {
return dataURL.substring(dataURL.indexOf(',') + 1);
});
} else {
const dataURL = this.toDataURL(type, options);
return dataURL.substring(dataURL.indexOf(',') + 1);
}
},
/**
* Creates a blob from the image and return a Promise.
* This function is only available in the browser.
* @memberof Image
* @instance
* @param {string} [type='image/png'] A String indicating the image format. The default type is image/png.
* @param {string} [quality=0.8] A Number between 0 and 1 indicating image quality if the requested type is image/jpeg or image/webp. If this argument is anything else, the default value for image quality is used. Other arguments are ignored.
* @return {Promise}
*/
toBlob() {
let type = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : 'image/png';
let quality = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : 0.8;
return canvasToBlob(this.getCanvas(), type, quality);
},
/**
* Creates a new canvas element and draw the image inside it
* @memberof Image
* @instance
* @return {Canvas}
*/
getCanvas() {
const data = new ImageData(this.getRGBAData({
clamped: true
}), this.width, this.height);
let canvas = createCanvas(this.width, this.height);
let ctx = canvas.getContext('2d');
ctx.putImageData(data, 0, 0);
return canvas;
}
};
function setExportMethods(Image) {
for (const i in exportMethods) {
Image.prototype[i] = exportMethods[i];
}
}
var hasOwn$1 = {exports: {}};
var name = "has-own";
var version = "1.0.1";
var description = "A safer .hasOwnProperty() - hasOwn(name, obj)";
var main = "index.js";
var scripts = {
test: "make test"
};
var author = "Aaron Heckmann ";
var license = "MIT";
var repository = {
type: "git",
url: "git://github.com/aheckmann/has-own.git"
};
var homepage = "https://github.com/aheckmann/has-own/";
var devDependencies = {
mocha: "^6.2.2"
};
var require$$0$2 = {
name: name,
version: version,
description: description,
main: main,
scripts: scripts,
author: author,
license: license,
repository: repository,
homepage: homepage,
devDependencies: devDependencies
};
(function (module, exports) {
var hasOwnProperty = Object.prototype.hasOwnProperty;
module.exports = exports = function hasOwn(prop, obj) {
return hasOwnProperty.call(obj, prop);
};
exports.version = require$$0$2.version;
})(hasOwn$1, hasOwn$1.exports);
var hasOwn = hasOwn$1.exports;
let computedPropertyDescriptor$1 = {
configurable: true,
enumerable: false,
get: undefined
};
function extendMethod(name, method) {
let options = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : {};
let {
inPlace = false,
returnThis = true,
partialArgs = []
} = options;
if (inPlace) {
Image.prototype[name] = function () {
// remove computed properties
this.computed = null;
for (var _len = arguments.length, args = new Array(_len), _key = 0; _key < _len; _key++) {
args[_key] = arguments[_key];
}
let result = method.apply(this, [...partialArgs, ...args]);
if (returnThis) {
return this;
}
return result;
};
} else {
Image.prototype[name] = function () {
for (var _len2 = arguments.length, args = new Array(_len2), _key2 = 0; _key2 < _len2; _key2++) {
args[_key2] = arguments[_key2];
}
return method.apply(this, [...partialArgs, ...args]);
};
}
return Image;
}
function extendProperty(name, method) {
let options = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : {};
let {
partialArgs = []
} = options;
computedPropertyDescriptor$1.get = function () {
if (this.computed === null) {
this.computed = {};
} else if (hasOwn(name, this.computed)) {
return this.computed[name];
}
let result = method.apply(this, partialArgs);
this.computed[name] = result;
return result;
};
Object.defineProperty(Image.prototype, name, computedPropertyDescriptor$1);
return Image;
}
/**
* Color model of an image
* @typedef {('GREY'|'RGB'|'HSL'|'HSV'|'CMYK')} ColorModel
*/
const GREY$1 = 'GREY';
const RGB$1 = 'RGB';
const HSL = 'HSL';
const HSV = 'HSV';
const CMYK$1 = 'CMYK';
var ColorModel = /*#__PURE__*/Object.freeze({
__proto__: null,
GREY: GREY$1,
RGB: RGB$1,
HSL: HSL,
HSV: HSV,
CMYK: CMYK$1
});
/**
* Retrieve the data of the current image as RGBA 8 bits
* The source image may be:
* * a mask (binary image)
* * a grey image (8 16 bits) with or without alpha channel
* * a color image (8 or 16 bits) with or without alpha channel in with RGB model
* @instance
* @memberof Image
* @param {object} [options]
* @param {boolean} [options.clamped] - If true, the function will return a Uint8ClampedArray
* @return {Uint8Array|Uint8ClampedArray} - Array with the data
*/
function getRGBAData() {
let options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};
const {
clamped
} = options;
this.checkProcessable('getRGBAData', {
components: [1, 3],
bitDepth: [1, 8, 16, 32]
});
const arrayLength = this.width * this.height * 4;
let newData = clamped ? new Uint8ClampedArray(arrayLength) : new Uint8Array(arrayLength);
if (this.bitDepth === 1) {
fillDataFromBinary(this, newData);
} else if (this.bitDepth === 32) {
this.checkProcessable('getRGBAData', {
alpha: 0
});
if (this.components === 1) {
fillDataFromGrey32(this, newData);
} else if (this.components === 3) {
this.checkProcessable('getRGBAData', {
colorModel: [RGB$1]
});
fillDataFromRGB32(this, newData);
}
} else {
if (this.components === 1) {
fillDataFromGrey(this, newData);
} else if (this.components === 3) {
this.checkProcessable('getRGBAData', {
colorModel: [RGB$1]
});
fillDataFromRGB(this, newData);
}
}
if (this.alpha === 1) {
this.checkProcessable('getRGBAData', {
bitDepth: [8, 16]
});
copyAlpha(this, newData);
} else {
fillAlpha(this, newData);
}
return newData;
}
function fillDataFromBinary(image, newData) {
for (let i = 0; i < image.size; i++) {
const value = image.getBit(i);
newData[i * 4] = value * 255;
newData[i * 4 + 1] = value * 255;
newData[i * 4 + 2] = value * 255;
}
}
function fillDataFromGrey32(image, newData) {
const min = image.min[0];
const max = image.max[0];
const range = max - min;
for (let i = 0; i < image.size; i++) {
const val = Math.floor(255 * (image.data[i] - min) / range);
newData[i * 4] = val;
newData[i * 4 + 1] = val;
newData[i * 4 + 2] = val;
}
}
function fillDataFromRGB32(image, newData) {
const min = Math.min(...image.min);
const max = Math.max(...image.max);
const range = max - min;
for (let i = 0; i < image.size; i++) {
const val1 = Math.floor(255 * (image.data[i * 3] - min) / range);
const val2 = Math.floor(255 * (image.data[i * 3 + 1] - min) / range);
const val3 = Math.floor(255 * (image.data[i * 3 + 2] - min) / range);
newData[i * 4] = val1;
newData[i * 4 + 1] = val2;
newData[i * 4 + 2] = val3;
}
}
function fillDataFromGrey(image, newData) {
for (let i = 0; i < image.size; i++) {
newData[i * 4] = image.data[i * image.channels] >>> image.bitDepth - 8;
newData[i * 4 + 1] = image.data[i * image.channels] >>> image.bitDepth - 8;
newData[i * 4 + 2] = image.data[i * image.channels] >>> image.bitDepth - 8;
}
}
function fillDataFromRGB(image, newData) {
for (let i = 0; i < image.size; i++) {
newData[i * 4] = image.data[i * image.channels] >>> image.bitDepth - 8;
newData[i * 4 + 1] = image.data[i * image.channels + 1] >>> image.bitDepth - 8;
newData[i * 4 + 2] = image.data[i * image.channels + 2] >>> image.bitDepth - 8;
}
}
function copyAlpha(image, newData) {
for (let i = 0; i < image.size; i++) {
newData[i * 4 + 3] = image.data[i * image.channels + image.components] >> image.bitDepth - 8;
}
}
function fillAlpha(image, newData) {
for (let i = 0; i < image.size; i++) {
newData[i * 4 + 3] = 255;
}
}
// Shortcuts for common image kinds
const BINARY = 'BINARY';
const GREY = 'GREY';
const GREYA = 'GREYA';
const RGB = 'RGB';
const RGBA = 'RGBA';
const CMYK = 'CMYK';
const CMYKA = 'CMYKA';
const kinds = {};
kinds[BINARY] = {
components: 1,
alpha: 0,
bitDepth: 1,
colorModel: GREY$1
};
kinds[GREYA] = {
components: 1,
alpha: 1,
bitDepth: 8,
colorModel: GREY$1
};
kinds[GREY] = {
components: 1,
alpha: 0,
bitDepth: 8,
colorModel: GREY$1
};
kinds[RGBA] = {
components: 3,
alpha: 1,
bitDepth: 8,
colorModel: RGB$1
};
kinds[RGB] = {
components: 3,
alpha: 0,
bitDepth: 8,
colorModel: RGB$1
};
kinds[CMYK] = {
components: 4,
alpha: 0,
bitDepth: 8,
colorModel: CMYK$1
};
kinds[CMYKA] = {
components: 4,
alpha: 1,
bitDepth: 8,
colorModel: CMYK$1
};
function getKind(kind) {
const result = kinds[kind];
if (!result) {
throw new RangeError(`invalid image kind: ${kind}`);
}
return result;
}
const validBitDepth = [1, 8, 16, 32];
function verifyKindDefinition(definition) {
const {
components,
alpha,
bitDepth,
colorModel
} = definition;
if (!Number.isInteger(components) || components <= 0) {
throw new RangeError(`invalid components: ${components}. Must be a positive integer`);
}
if (alpha !== 0 && alpha !== 1 && typeof alpha !== 'boolean') {
throw new TypeError(`invalid alpha: ${alpha}: must be a boolean, 0 or 1`);
}
if (!validBitDepth.includes(bitDepth)) {
throw new RangeError(`invalid bitDepth: ${bitDepth}. Must be one of ${validBitDepth.join(', ')}`);
} // eslint-disable-next-line import/namespace
if (!ColorModel[colorModel]) {
throw new RangeError(`invalid colorModel: ${colorModel}. Must be one of ${Object.keys(ColorModel).join(', ')}`);
}
}
function getTheoreticalPixelArraySize(size, channels, bitDepth) {
let length = channels * size;
if (bitDepth === 1) {
length = Math.ceil(length / 8);
}
return length;
}
function createPixelArray(size, components, alpha, channels, bitDepth, maxValue) {
const length = channels * size;
let arr;
switch (bitDepth) {
case 1:
arr = new Uint8Array(Math.ceil(length / 8));
break;
case 8:
arr = new Uint8Array(length);
break;
case 16:
arr = new Uint16Array(length);
break;
case 32:
arr = new Float32Array(length);
break;
default:
throw new Error(`Cannot create pixel array for bit depth ${bitDepth}`);
} // alpha channel is 100% by default
if (alpha) {
for (let i = components; i < arr.length; i += channels) {
arr[i] = maxValue;
}
}
return arr;
}
var src$5 = {};
const defaultByteLength = 1024 * 8;
const charArray = [];
class IOBuffer$2 {
constructor(data, options) {
options = options || {};
if (data === undefined) {
data = defaultByteLength;
}
if (typeof data === 'number') {
data = new ArrayBuffer(data);
}
let length = data.byteLength;
const offset = options.offset ? options.offset >>> 0 : 0;
if (data.buffer) {
length = data.byteLength - offset;
if (data.byteLength !== data.buffer.byteLength) {
// Node.js buffer from pool
data = data.buffer.slice(data.byteOffset + offset, data.byteOffset + data.byteLength);
} else if (offset) {
data = data.buffer.slice(offset);
} else {
data = data.buffer;
}
}
this.buffer = data;
this.length = length;
this.byteLength = length;
this.byteOffset = 0;
this.offset = 0;
this.littleEndian = true;
this._data = new DataView(this.buffer);
this._increment = length || defaultByteLength;
this._mark = 0;
}
available(byteLength) {
if (byteLength === undefined) byteLength = 1;
return this.offset + byteLength <= this.length;
}
isLittleEndian() {
return this.littleEndian;
}
setLittleEndian() {
this.littleEndian = true;
}
isBigEndian() {
return !this.littleEndian;
}
setBigEndian() {
this.littleEndian = false;
}
skip(n) {
if (n === undefined) n = 1;
this.offset += n;
}
seek(offset) {
this.offset = offset;
}
mark() {
this._mark = this.offset;
}
reset() {
this.offset = this._mark;
}
rewind() {
this.offset = 0;
}
ensureAvailable(byteLength) {
if (byteLength === undefined) byteLength = 1;
if (!this.available(byteLength)) {
const newIncrement = this._increment + this._increment;
this._increment = newIncrement;
const newLength = this.length + newIncrement;
const newArray = new Uint8Array(newLength);
newArray.set(new Uint8Array(this.buffer));
this.buffer = newArray.buffer;
this.length = newLength;
this._data = new DataView(this.buffer);
}
}
readBoolean() {
return this.readUint8() !== 0;
}
readInt8() {
return this._data.getInt8(this.offset++);
}
readUint8() {
return this._data.getUint8(this.offset++);
}
readByte() {
return this.readUint8();
}
readBytes(n) {
if (n === undefined) n = 1;
var bytes = new Uint8Array(n);
for (var i = 0; i < n; i++) {
bytes[i] = this.readByte();
}
return bytes;
}
readInt16() {
var value = this._data.getInt16(this.offset, this.littleEndian);
this.offset += 2;
return value;
}
readUint16() {
var value = this._data.getUint16(this.offset, this.littleEndian);
this.offset += 2;
return value;
}
readInt32() {
var value = this._data.getInt32(this.offset, this.littleEndian);
this.offset += 4;
return value;
}
readUint32() {
var value = this._data.getUint32(this.offset, this.littleEndian);
this.offset += 4;
return value;
}
readFloat32() {
var value = this._data.getFloat32(this.offset, this.littleEndian);
this.offset += 4;
return value;
}
readFloat64() {
var value = this._data.getFloat64(this.offset, this.littleEndian);
this.offset += 8;
return value;
}
readChar() {
return String.fromCharCode(this.readInt8());
}
readChars(n) {
if (n === undefined) n = 1;
charArray.length = n;
for (var i = 0; i < n; i++) {
charArray[i] = this.readChar();
}
return charArray.join('');
}
writeBoolean(bool) {
this.writeUint8(bool ? 0xff : 0x00);
}
writeInt8(value) {
this.ensureAvailable(1);
this._data.setInt8(this.offset++, value);
}
writeUint8(value) {
this.ensureAvailable(1);
this._data.setUint8(this.offset++, value);
}
writeByte(value) {
this.writeUint8(value);
}
writeBytes(bytes) {
this.ensureAvailable(bytes.length);
for (var i = 0; i < bytes.length; i++) {
this._data.setUint8(this.offset++, bytes[i]);
}
}
writeInt16(value) {
this.ensureAvailable(2);
this._data.setInt16(this.offset, value, this.littleEndian);
this.offset += 2;
}
writeUint16(value) {
this.ensureAvailable(2);
this._data.setUint16(this.offset, value, this.littleEndian);
this.offset += 2;
}
writeInt32(value) {
this.ensureAvailable(4);
this._data.setInt32(this.offset, value, this.littleEndian);
this.offset += 4;
}
writeUint32(value) {
this.ensureAvailable(4);
this._data.setUint32(this.offset, value, this.littleEndian);
this.offset += 4;
}
writeFloat32(value) {
this.ensureAvailable(4);
this._data.setFloat32(this.offset, value, this.littleEndian);
this.offset += 4;
}
writeFloat64(value) {
this.ensureAvailable(8);
this._data.setFloat64(this.offset, value, this.littleEndian);
this.offset += 8;
}
writeChar(str) {
this.writeUint8(str.charCodeAt(0));
}
writeChars(str) {
for (var i = 0; i < str.length; i++) {
this.writeUint8(str.charCodeAt(i));
}
}
toArray() {
return new Uint8Array(this.buffer, 0, this.offset);
}
}
var IOBuffer_1 = IOBuffer$2;
var src$4 = {};
const tagsById$5 = {
// Baseline tags
0x00FE: 'NewSubfileType',
0x00FF: 'SubfileType',
0x0100: 'ImageWidth',
0x0101: 'ImageLength',
0x0102: 'BitsPerSample',
0x0103: 'Compression',
0x0106: 'PhotometricInterpretation',
0x0107: 'Threshholding',
0x0108: 'CellWidth',
0x0109: 'CellLength',
0x010A: 'FillOrder',
0x010E: 'ImageDescription',
0x010F: 'Make',
0x0110: 'Model',
0x0111: 'StripOffsets',
0x0112: 'Orientation',
0x0115: 'SamplesPerPixel',
0x0116: 'RowsPerStrip',
0x0117: 'StripByteCounts',
0x0118: 'MinSampleValue',
0x0119: 'MaxSampleValue',
0x011A: 'XResolution',
0x011B: 'YResolution',
0x011C: 'PlanarConfiguration',
0x0120: 'FreeOffsets',
0x0121: 'FreeByteCounts',
0x0122: 'GrayResponseUnit',
0x0123: 'GrayResponseCurve',
0x0128: 'ResolutionUnit',
0x0131: 'Software',
0x0132: 'DateTime',
0x013B: 'Artist',
0x013C: 'HostComputer',
0x0140: 'ColorMap',
0x0152: 'ExtraSamples',
0x8298: 'Copyright',
// Extension tags
0x010D: 'DocumentName',
0x011D: 'PageName',
0x011E: 'XPosition',
0x011F: 'YPosition',
0x0124: 'T4Options',
0x0125: 'T6Options',
0x0129: 'PageNumber',
0x012D: 'TransferFunction',
0x013D: 'Predictor',
0x013E: 'WhitePoint',
0x013F: 'PrimaryChromaticities',
0x0141: 'HalftoneHints',
0x0142: 'TileWidth',
0x0143: 'TileLength',
0x0144: 'TileOffsets',
0x0145: 'TileByteCounts',
0x0146: 'BadFaxLines',
0x0147: 'CleanFaxData',
0x0148: 'ConsecutiveBadFaxLines',
0x014A: 'SubIFDs',
0x014C: 'InkSet',
0x014D: 'InkNames',
0x014E: 'NumberOfInks',
0x0150: 'DotRange',
0x0151: 'TargetPrinter',
0x0153: 'SampleFormat',
0x0154: 'SMinSampleValue',
0x0155: 'SMaxSampleValue',
0x0156: 'TransferRange',
0x0157: 'ClipPath',
0x0158: 'XClipPathUnits',
0x0159: 'YClipPathUnits',
0x015A: 'Indexed',
0x015B: 'JPEGTables',
0x015F: 'OPIProxy',
0x0190: 'GlobalParametersIFD',
0x0191: 'ProfileType',
0x0192: 'FaxProfile',
0x0193: 'CodingMethods',
0x0194: 'VersionYear',
0x0195: 'ModeNumber',
0x01B1: 'Decode',
0x01B2: 'DefaultImageColor',
0x0200: 'JPEGProc',
0x0201: 'JPEGInterchangeFormat',
0x0202: 'JPEGInterchangeFormatLength',
0x0203: 'JPEGRestartInterval',
0x0205: 'JPEGLosslessPredictors',
0x0206: 'JPEGPointTransforms',
0x0207: 'JPEGQTables',
0x0208: 'JPEGDCTables',
0x0209: 'JPEGACTables',
0x0211: 'YCbCrCoefficients',
0x0212: 'YCbCrSubSampling',
0x0213: 'YCbCrPositioning',
0x0214: 'ReferenceBlackWhite',
0x022F: 'StripRowCounts',
0x02BC: 'XMP',
0x800D: 'ImageID',
0x87AC: 'ImageLayer',
// Private tags
0x80A4: 'WangAnnotatio',
0x82A5: 'MDFileTag',
0x82A6: 'MDScalePixel',
0x82A7: 'MDColorTable',
0x82A8: 'MDLabName',
0x82A9: 'MDSampleInfo',
0x82AA: 'MDPrepDate',
0x82AB: 'MDPrepTime',
0x82AC: 'MDFileUnits',
0x830E: 'ModelPixelScaleTag',
0x83BB: 'IPTC',
0x847E: 'INGRPacketDataTag',
0x847F: 'INGRFlagRegisters',
0x8480: 'IrasBTransformationMatrix',
0x8482: 'ModelTiepointTag',
0x85D8: 'ModelTransformationTag',
0x8649: 'Photoshop',
0x8769: 'ExifIFD',
0x8773: 'ICCProfile',
0x87AF: 'GeoKeyDirectoryTag',
0x87B0: 'GeoDoubleParamsTag',
0x87B1: 'GeoAsciiParamsTag',
0x8825: 'GPSIFD',
0x885C: 'HylaFAXFaxRecvParams',
0x885D: 'HylaFAXFaxSubAddress',
0x885E: 'HylaFAXFaxRecvTime',
0x935C: 'ImageSourceData',
0xA005: 'InteroperabilityIFD',
0xA480: 'GDAL_METADATA',
0xA481: 'GDAL_NODATA',
0xC427: 'OceScanjobDescription',
0xC428: 'OceApplicationSelector',
0xC429: 'OceIdentificationNumber',
0xC42A: 'OceImageLogicCharacteristics',
0xC612: 'DNGVersion',
0xC613: 'DNGBackwardVersion',
0xC614: 'UniqueCameraModel',
0xC615: 'LocalizedCameraModel',
0xC616: 'CFAPlaneColor',
0xC617: 'CFALayout',
0xC618: 'LinearizationTable',
0xC619: 'BlackLevelRepeatDim',
0xC61A: 'BlackLevel',
0xC61B: 'BlackLevelDeltaH',
0xC61C: 'BlackLevelDeltaV',
0xC61D: 'WhiteLevel',
0xC61E: 'DefaultScale',
0xC61F: 'DefaultCropOrigin',
0xC620: 'DefaultCropSize',
0xC621: 'ColorMatrix1',
0xC622: 'ColorMatrix2',
0xC623: 'CameraCalibration1',
0xC624: 'CameraCalibration2',
0xC625: 'ReductionMatrix1',
0xC626: 'ReductionMatrix2',
0xC627: 'AnalogBalance',
0xC628: 'AsShotNeutral',
0xC629: 'AsShotWhiteXY',
0xC62A: 'BaselineExposure',
0xC62B: 'BaselineNoise',
0xC62C: 'BaselineSharpness',
0xC62D: 'BayerGreenSplit',
0xC62E: 'LinearResponseLimit',
0xC62F: 'CameraSerialNumber',
0xC630: 'LensInfo',
0xC631: 'ChromaBlurRadius',
0xC632: 'AntiAliasStrength',
0xC634: 'DNGPrivateData',
0xC635: 'MakerNoteSafety',
0xC65A: 'CalibrationIlluminant1',
0xC65B: 'CalibrationIlluminant2',
0xC65C: 'BestQualityScale',
0xC660: 'AliasLayerMetadata'
};
const tagsByName$5 = {};
for (var i$2 in tagsById$5) {
tagsByName$5[tagsById$5[i$2]] = i$2;
}
var standard$1 = {
tagsById: tagsById$5,
tagsByName: tagsByName$5
};
const tagsById$4 = {
0x829A: 'ExposureTime',
0x829D: 'FNumber',
0x8822: 'ExposureProgram',
0x8824: 'SpectralSensitivity',
0x8827: 'ISOSpeedRatings',
0x8828: 'OECF',
0x8830: 'SensitivityType',
0x8831: 'StandardOutputSensitivity',
0x8832: 'RecommendedExposureIndex',
0x8833: 'ISOSpeed',
0x8834: 'ISOSpeedLatitudeyyy',
0x8835: 'ISOSpeedLatitudezzz',
0x9000: 'ExifVersion',
0x9003: 'DateTimeOriginal',
0x9004: 'DateTimeDigitized',
0x9101: 'ComponentsConfiguration',
0x9102: 'CompressedBitsPerPixel',
0x9201: 'ShutterSpeedValue',
0x9202: 'ApertureValue',
0x9203: 'BrightnessValue',
0x9204: 'ExposureBiasValue',
0x9205: 'MaxApertureValue',
0x9206: 'SubjectDistance',
0x9207: 'MeteringMode',
0x9208: 'LightSource',
0x9209: 'Flash',
0x920A: 'FocalLength',
0x9214: 'SubjectArea',
0x927C: 'MakerNote',
0x9286: 'UserComment',
0x9290: 'SubsecTime',
0x9291: 'SubsecTimeOriginal',
0x9292: 'SubsecTimeDigitized',
0xA000: 'FlashpixVersion',
0xA001: 'ColorSpace',
0xA002: 'PixelXDimension',
0xA003: 'PixelYDimension',
0xA004: 'RelatedSoundFile',
0xA20B: 'FlashEnergy',
0xA20C: 'SpatialFrequencyResponse',
0xA20E: 'FocalPlaneXResolution',
0xA20F: 'FocalPlaneYResolution',
0xA210: 'FocalPlaneResolutionUnit',
0xA214: 'SubjectLocation',
0xA215: 'ExposureIndex',
0xA217: 'SensingMethod',
0xA300: 'FileSource',
0xA301: 'SceneType',
0xA302: 'CFAPattern',
0xA401: 'CustomRendered',
0xA402: 'ExposureMode',
0xA403: 'WhiteBalance',
0xA404: 'DigitalZoomRatio',
0xA405: 'FocalLengthIn35mmFilm',
0xA406: 'SceneCaptureType',
0xA407: 'GainControl',
0xA408: 'Contrast',
0xA409: 'Saturation',
0xA40A: 'Sharpness',
0xA40B: 'DeviceSettingDescription',
0xA40C: 'SubjectDistanceRange',
0xA420: 'ImageUniqueID',
0xA430: 'CameraOwnerName',
0xA431: 'BodySerialNumber',
0xA432: 'LensSpecification',
0xA433: 'LensMake',
0xA434: 'LensModel',
0xA435: 'LensSerialNumber',
0xA500: 'Gamma'
};
const tagsByName$4 = {};
for (var i$1 in tagsById$4) {
tagsByName$4[tagsById$4[i$1]] = i$1;
}
var exif$1 = {
tagsById: tagsById$4,
tagsByName: tagsByName$4
};
const tagsById$3 = {
0x0000: 'GPSVersionID',
0x0001: 'GPSLatitudeRef',
0x0002: 'GPSLatitude',
0x0003: 'GPSLongitudeRef',
0x0004: 'GPSLongitude',
0x0005: 'GPSAltitudeRef',
0x0006: 'GPSAltitude',
0x0007: 'GPSTimeStamp',
0x0008: 'GPSSatellites',
0x0009: 'GPSStatus',
0x000A: 'GPSMeasureMode',
0x000B: 'GPSDOP',
0x000C: 'GPSSpeedRef',
0x000D: 'GPSSpeed',
0x000E: 'GPSTrackRef',
0x000F: 'GPSTrack',
0x0010: 'GPSImgDirectionRef',
0x0011: 'GPSImgDirection',
0x0012: 'GPSMapDatum',
0x0013: 'GPSDestLatitudeRef',
0x0014: 'GPSDestLatitude',
0x0015: 'GPSDestLongitudeRef',
0x0016: 'GPSDestLongitude',
0x0017: 'GPSDestBearingRef',
0x0018: 'GPSDestBearing',
0x0019: 'GPSDestDistanceRef',
0x001A: 'GPSDestDistance',
0x001B: 'GPSProcessingMethod',
0x001C: 'GPSAreaInformation',
0x001D: 'GPSDateStamp',
0x001E: 'GPSDifferential',
0x001F: 'GPSHPositioningError'
};
const tagsByName$3 = {};
for (var i in tagsById$3) {
tagsByName$3[tagsById$3[i]] = i;
}
var gps$1 = {
tagsById: tagsById$3,
tagsByName: tagsByName$3
};
const tags$1 = {
standard: standard$1,
exif: exif$1,
gps: gps$1
};
class IFD$2 {
constructor(kind) {
if (!kind) {
throw new Error('missing kind');
}
this.data = null;
this.fields = new Map();
this.kind = kind;
this._map = null;
}
get(tag) {
if (typeof tag === 'number') {
return this.fields.get(tag);
} else if (typeof tag === 'string') {
return this.fields.get(tags$1[this.kind].tagsByName[tag]);
} else {
throw new Error('expected a number or string');
}
}
get map() {
if (!this._map) {
this._map = {};
const taglist = tags$1[this.kind].tagsById;
for (var key of this.fields.keys()) {
if (taglist[key]) {
this._map[taglist[key]] = this.fields.get(key);
}
}
}
return this._map;
}
}
var ifd = IFD$2;
const Ifd = ifd;
const dateTimeRegex$1 = /^(\d{4}):(\d{2}):(\d{2}) (\d{2}):(\d{2}):(\d{2})$/;
class TiffIfd$1 extends Ifd {
constructor() {
super('standard');
} // Custom fields
get size() {
return this.width * this.height;
}
get width() {
return this.imageWidth;
}
get height() {
return this.imageLength;
}
get components() {
return this.samplesPerPixel;
}
get date() {
var date = new Date();
var result = dateTimeRegex$1.exec(this.dateTime);
date.setFullYear(result[1], result[2] - 1, result[3]);
date.setHours(result[4], result[5], result[6]);
return date;
} // IFD fields
get newSubfileType() {
return this.get(254);
}
get imageWidth() {
return this.get(256);
}
get imageLength() {
return this.get(257);
}
get bitsPerSample() {
return this.get(258);
}
get compression() {
return this.get(259) || 1;
}
get type() {
return this.get(262);
}
get fillOrder() {
return this.get(266) || 1;
}
get documentName() {
return this.get(269);
}
get imageDescription() {
return this.get(270);
}
get stripOffsets() {
return alwaysArray$1(this.get(273));
}
get orientation() {
return this.get(274);
}
get samplesPerPixel() {
return this.get(277);
}
get rowsPerStrip() {
return this.get(278);
}
get stripByteCounts() {
return alwaysArray$1(this.get(279));
}
get minSampleValue() {
return this.get(280) || 0;
}
get maxSampleValue() {
return this.get(281) || Math.pow(2, this.bitsPerSample) - 1;
}
get xResolution() {
return this.get(282);
}
get yResolution() {
return this.get(283);
}
get planarConfiguration() {
return this.get(284) || 1;
}
get resolutionUnit() {
return this.get(296) || 2;
}
get dateTime() {
return this.get(306);
}
get predictor() {
return this.get(317) || 1;
}
get sampleFormat() {
return this.get(339) || 1;
}
get sMinSampleValue() {
return this.get(340) || this.minSampleValue;
}
get sMaxSampleValue() {
return this.get(341) || this.maxSampleValue;
}
}
function alwaysArray$1(value) {
if (typeof value === 'number') return [value];
return value;
}
var tiffIfd = TiffIfd$1;
var ifdValue = {};
var types$1 = new Map([[1, [1, readByte$1]], // BYTE
[2, [1, readASCII$1]], // ASCII
[3, [2, readShort$1]], // SHORT
[4, [4, readLong$1]], // LONG
[5, [8, readRational$1]], // RATIONAL
[6, [1, readSByte$1]], // SBYTE
[7, [1, readByte$1]], // UNDEFINED
[8, [2, readSShort$1]], // SSHORT
[9, [4, readSLong$1]], // SLONG
[10, [8, readSRational$1]], // SRATIONAL
[11, [4, readFloat$1]], // FLOAT
[12, [8, readDouble$1]] // DOUBLE
]);
ifdValue.getByteLength = function (type, count) {
return types$1.get(type)[0] * count;
};
ifdValue.readData = function (decoder, type, count) {
return types$1.get(type)[1](decoder, count);
};
function readByte$1(decoder, count) {
if (count === 1) return decoder.readUint8();
var array = new Uint8Array(count);
for (var i = 0; i < count; i++) {
array[i] = decoder.readUint8();
}
return array;
}
function readASCII$1(decoder, count) {
var strings = [];
var currentString = '';
for (var i = 0; i < count; i++) {
var char = String.fromCharCode(decoder.readUint8());
if (char === '\0') {
strings.push(currentString);
currentString = '';
} else {
currentString += char;
}
}
if (strings.length === 1) {
return strings[0];
} else {
return strings;
}
}
function readShort$1(decoder, count) {
if (count === 1) return decoder.readUint16();
var array = new Uint16Array(count);
for (var i = 0; i < count; i++) {
array[i] = decoder.readUint16();
}
return array;
}
function readLong$1(decoder, count) {
if (count === 1) return decoder.readUint32();
var array = new Uint32Array(count);
for (var i = 0; i < count; i++) {
array[i] = decoder.readUint32();
}
return array;
}
function readRational$1(decoder, count) {
if (count === 1) {
return decoder.readUint32() / decoder.readUint32();
}
var rationals = new Array(count);
for (var i = 0; i < count; i++) {
rationals[i] = decoder.readUint32() / decoder.readUint32();
}
return rationals;
}
function readSByte$1(decoder, count) {
if (count === 1) return decoder.readInt8();
var array = new Int8Array(count);
for (var i = 0; i < count; i++) {
array[i] = decoder.readInt8();
}
return array;
}
function readSShort$1(decoder, count) {
if (count === 1) return decoder.readInt16();
var array = new Int16Array(count);
for (var i = 0; i < count; i++) {
array[i] = decoder.readInt16();
}
return array;
}
function readSLong$1(decoder, count) {
if (count === 1) return decoder.readInt32();
var array = new Int32Array(count);
for (var i = 0; i < count; i++) {
array[i] = decoder.readInt32();
}
return array;
}
function readSRational$1(decoder, count) {
if (count === 1) {
return decoder.readInt32() / decoder.readInt32();
}
var rationals = new Array(count);
for (var i = 0; i < count; i++) {
rationals[i] = decoder.readInt32() / decoder.readInt32();
}
return rationals;
}
function readFloat$1(decoder, count) {
if (count === 1) return decoder.readFloat32();
var array = new Float32Array(count);
for (var i = 0; i < count; i++) {
array[i] = decoder.readFloat32();
}
return array;
}
function readDouble$1(decoder, count) {
if (count === 1) return decoder.readFloat64();
var array = new Float64Array(count);
for (var i = 0; i < count; i++) {
array[i] = decoder.readFloat64();
}
return array;
}
const IOBuffer$1 = IOBuffer_1;
const IFD$1 = ifd;
const TiffIFD = tiffIfd;
const IFDValue = ifdValue;
const defaultOptions$d = {
ignoreImageData: false,
onlyFirst: false
};
class TIFFDecoder$2 extends IOBuffer$1 {
constructor(data, options) {
super(data, options);
this._nextIFD = 0;
}
decode(options) {
options = Object.assign({}, defaultOptions$d, options);
const result = [];
this.decodeHeader();
while (this._nextIFD) {
result.push(this.decodeIFD(options));
if (options.onlyFirst) {
return result[0];
}
}
return result;
}
decodeHeader() {
// Byte offset
let value = this.readUint16();
if (value === 0x4949) {
this.setLittleEndian();
} else if (value === 0x4D4D) {
this.setBigEndian();
} else {
throw new Error('invalid byte order: 0x' + value.toString(16));
} // Magic number
value = this.readUint16();
if (value !== 42) {
throw new Error('not a TIFF file');
} // Offset of the first IFD
this._nextIFD = this.readUint32();
}
decodeIFD(options) {
this.seek(this._nextIFD);
var ifd;
if (!options.kind) {
ifd = new TiffIFD();
} else {
ifd = new IFD$1(options.kind);
}
const numEntries = this.readUint16();
for (var i = 0; i < numEntries; i++) {
this.decodeIFDEntry(ifd);
}
if (!options.ignoreImageData) {
this.decodeImageData(ifd);
}
this._nextIFD = this.readUint32();
return ifd;
}
decodeIFDEntry(ifd) {
const offset = this.offset;
const tag = this.readUint16();
const type = this.readUint16();
const numValues = this.readUint32();
if (type < 1 || type > 12) {
this.skip(4); // unknown type, skip this value
return;
}
const valueByteLength = IFDValue.getByteLength(type, numValues);
if (valueByteLength > 4) {
this.seek(this.readUint32());
}
const value = IFDValue.readData(this, type, numValues);
ifd.fields.set(tag, value); // Read sub-IFDs
if (tag === 0x8769 || tag === 0x8825) {
let currentOffset = this.offset;
let kind;
if (tag === 0x8769) {
kind = 'exif';
} else if (tag === 0x8825) {
kind = 'gps';
}
this._nextIFD = value;
ifd[kind] = this.decodeIFD({
kind,
ignoreImageData: true
});
this.offset = currentOffset;
} // go to the next entry
this.seek(offset);
this.skip(12);
}
decodeImageData(ifd) {
const orientation = ifd.orientation;
if (orientation && orientation !== 1) {
unsupported$1('orientation', orientation);
}
switch (ifd.type) {
case 1: // BlackIsZero
case 2:
// RGB
this.readStripData(ifd);
break;
default:
unsupported$1('image type', ifd.type);
break;
}
}
readStripData(ifd) {
const width = ifd.width;
const height = ifd.height;
const bitDepth = validateBitDepth(ifd.bitsPerSample);
const sampleFormat = ifd.sampleFormat;
let size = width * height;
const data = getDataArray$1(size, 1, bitDepth, sampleFormat);
const compression = ifd.compression;
const rowsPerStrip = ifd.rowsPerStrip;
const maxPixels = rowsPerStrip * width;
const stripOffsets = ifd.stripOffsets;
const stripByteCounts = ifd.stripByteCounts;
var pixel = 0;
for (var i = 0; i < stripOffsets.length; i++) {
var stripData = this.getStripData(compression, stripOffsets[i], stripByteCounts[i]); // Last strip can be smaller
var length = size > maxPixels ? maxPixels : size;
size -= length;
if (bitDepth === 8) {
pixel = fill8bit$1(data, stripData, pixel, length);
} else if (bitDepth === 16) {
pixel = fill16bit$1(data, stripData, pixel, length, this.isLittleEndian());
} else if (bitDepth === 32 && sampleFormat === 3) {
pixel = fillFloat32$1(data, stripData, pixel, length, this.isLittleEndian());
} else {
unsupported$1('bitDepth', bitDepth);
}
}
ifd.data = data;
}
getStripData(compression, offset, byteCounts) {
switch (compression) {
case 1:
// No compression
return new DataView(this.buffer, offset, byteCounts);
case 2: // CCITT Group 3 1-Dimensional Modified Huffman run length encoding
case 32773:
// PackBits compression
return unsupported$1('Compression', compression);
default:
throw new Error('invalid compression: ' + compression);
}
}
}
var tiffDecoder = TIFFDecoder$2;
function getDataArray$1(size, channels, bitDepth, sampleFormat) {
if (bitDepth === 8) {
return new Uint8Array(size * channels);
} else if (bitDepth === 16) {
return new Uint16Array(size * channels);
} else if (bitDepth === 32 && sampleFormat === 3) {
return new Float32Array(size * channels);
} else {
return unsupported$1('bit depth / sample format', bitDepth + ' / ' + sampleFormat);
}
}
function fill8bit$1(dataTo, dataFrom, index, length) {
for (var i = 0; i < length; i++) {
dataTo[index++] = dataFrom.getUint8(i);
}
return index;
}
function fill16bit$1(dataTo, dataFrom, index, length, littleEndian) {
for (var i = 0; i < length * 2; i += 2) {
dataTo[index++] = dataFrom.getUint16(i, littleEndian);
}
return index;
}
function fillFloat32$1(dataTo, dataFrom, index, length, littleEndian) {
for (var i = 0; i < length * 4; i += 4) {
dataTo[index++] = dataFrom.getFloat32(i, littleEndian);
}
return index;
}
function unsupported$1(type, value) {
throw new Error('Unsupported ' + type + ': ' + value);
}
function validateBitDepth(bitDepth) {
if (bitDepth.length) {
const bitDepthArray = bitDepth;
bitDepth = bitDepthArray[0];
for (var i = 0; i < bitDepthArray.length; i++) {
if (bitDepthArray[i] !== bitDepth) {
unsupported$1('bit depth', bitDepthArray);
}
}
}
return bitDepth;
}
const TIFFDecoder$1 = tiffDecoder;
var decode$2 = function decodeTIFF(data, options) {
const decoder = new TIFFDecoder$1(data, options);
return decoder.decode(options);
};
src$4.decode = decode$2;
const IOBuffer = IOBuffer_1;
const tiff = src$4;
function decode$1(data) {
const buffer = new IOBuffer(data);
const result = {};
buffer.setBigEndian();
const val = buffer.readUint16();
if (val !== 0xffd8) {
throw new Error('SOI marker not found. Not a valid JPEG file');
}
const next = buffer.readUint16();
if (next === 0xffe1) {
buffer.readUint16();
const header = buffer.readBytes(6);
if (header[0] === 69 && // E
header[1] === 120 && // x
header[2] === 105 && // i
header[3] === 102 && // f
header[4] === 0 && header[5] === 0) {
// buffer.skip(2);
const exif = tiff.decode(buffer, {
onlyFirst: true,
ignoreImageData: true,
offset: buffer.offset
});
result.exif = exif;
}
}
return result;
}
var decode_1 = decode$1;
var decode = src$5.decode = decode_1;
var imageType$2 = {exports: {}};
var fileType$1 = {exports: {}};
(function (module) {
const toBytes = s => [...s].map(c => c.charCodeAt(0));
const xpiZipFilename = toBytes('META-INF/mozilla.rsa');
const oxmlContentTypes = toBytes('[Content_Types].xml');
const oxmlRels = toBytes('_rels/.rels');
function readUInt64LE(buf) {
let offset = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : 0;
let n = buf[offset];
let mul = 1;
let i = 0;
while (++i < 8) {
mul *= 0x100;
n += buf[offset + i] * mul;
}
return n;
}
const fileType = input => {
if (!(input instanceof Uint8Array || input instanceof ArrayBuffer || Buffer.isBuffer(input))) {
throw new TypeError(`Expected the \`input\` argument to be of type \`Uint8Array\` or \`Buffer\` or \`ArrayBuffer\`, got \`${typeof input}\``);
}
const buf = input instanceof Uint8Array ? input : new Uint8Array(input);
if (!(buf && buf.length > 1)) {
return null;
}
const check = (header, options) => {
options = Object.assign({
offset: 0
}, options);
for (let i = 0; i < header.length; i++) {
// If a bitmask is set
if (options.mask) {
// If header doesn't equal `buf` with bits masked off
if (header[i] !== (options.mask[i] & buf[i + options.offset])) {
return false;
}
} else if (header[i] !== buf[i + options.offset]) {
return false;
}
}
return true;
};
const checkString = (header, options) => check(toBytes(header), options);
if (check([0xFF, 0xD8, 0xFF])) {
return {
ext: 'jpg',
mime: 'image/jpeg'
};
}
if (check([0x89, 0x50, 0x4E, 0x47, 0x0D, 0x0A, 0x1A, 0x0A])) {
return {
ext: 'png',
mime: 'image/png'
};
}
if (check([0x47, 0x49, 0x46])) {
return {
ext: 'gif',
mime: 'image/gif'
};
}
if (check([0x57, 0x45, 0x42, 0x50], {
offset: 8
})) {
return {
ext: 'webp',
mime: 'image/webp'
};
}
if (check([0x46, 0x4C, 0x49, 0x46])) {
return {
ext: 'flif',
mime: 'image/flif'
};
} // Needs to be before `tif` check
if ((check([0x49, 0x49, 0x2A, 0x0]) || check([0x4D, 0x4D, 0x0, 0x2A])) && check([0x43, 0x52], {
offset: 8
})) {
return {
ext: 'cr2',
mime: 'image/x-canon-cr2'
};
}
if (check([0x49, 0x49, 0x2A, 0x0]) || check([0x4D, 0x4D, 0x0, 0x2A])) {
return {
ext: 'tif',
mime: 'image/tiff'
};
}
if (check([0x42, 0x4D])) {
return {
ext: 'bmp',
mime: 'image/bmp'
};
}
if (check([0x49, 0x49, 0xBC])) {
return {
ext: 'jxr',
mime: 'image/vnd.ms-photo'
};
}
if (check([0x38, 0x42, 0x50, 0x53])) {
return {
ext: 'psd',
mime: 'image/vnd.adobe.photoshop'
};
} // Zip-based file formats
// Need to be before the `zip` check
if (check([0x50, 0x4B, 0x3, 0x4])) {
if (check([0x6D, 0x69, 0x6D, 0x65, 0x74, 0x79, 0x70, 0x65, 0x61, 0x70, 0x70, 0x6C, 0x69, 0x63, 0x61, 0x74, 0x69, 0x6F, 0x6E, 0x2F, 0x65, 0x70, 0x75, 0x62, 0x2B, 0x7A, 0x69, 0x70], {
offset: 30
})) {
return {
ext: 'epub',
mime: 'application/epub+zip'
};
} // Assumes signed `.xpi` from addons.mozilla.org
if (check(xpiZipFilename, {
offset: 30
})) {
return {
ext: 'xpi',
mime: 'application/x-xpinstall'
};
}
if (checkString('mimetypeapplication/vnd.oasis.opendocument.text', {
offset: 30
})) {
return {
ext: 'odt',
mime: 'application/vnd.oasis.opendocument.text'
};
}
if (checkString('mimetypeapplication/vnd.oasis.opendocument.spreadsheet', {
offset: 30
})) {
return {
ext: 'ods',
mime: 'application/vnd.oasis.opendocument.spreadsheet'
};
}
if (checkString('mimetypeapplication/vnd.oasis.opendocument.presentation', {
offset: 30
})) {
return {
ext: 'odp',
mime: 'application/vnd.oasis.opendocument.presentation'
};
} // The docx, xlsx and pptx file types extend the Office Open XML file format:
// https://en.wikipedia.org/wiki/Office_Open_XML_file_formats
// We look for:
// - one entry named '[Content_Types].xml' or '_rels/.rels',
// - one entry indicating specific type of file.
// MS Office, OpenOffice and LibreOffice may put the parts in different order, so the check should not rely on it.
const findNextZipHeaderIndex = function (arr) {
let startAt = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : 0;
return arr.findIndex((el, i, arr) => i >= startAt && arr[i] === 0x50 && arr[i + 1] === 0x4B && arr[i + 2] === 0x3 && arr[i + 3] === 0x4);
};
let zipHeaderIndex = 0; // The first zip header was already found at index 0
let oxmlFound = false;
let type = null;
do {
const offset = zipHeaderIndex + 30;
if (!oxmlFound) {
oxmlFound = check(oxmlContentTypes, {
offset
}) || check(oxmlRels, {
offset
});
}
if (!type) {
if (checkString('word/', {
offset
})) {
type = {
ext: 'docx',
mime: 'application/vnd.openxmlformats-officedocument.wordprocessingml.document'
};
} else if (checkString('ppt/', {
offset
})) {
type = {
ext: 'pptx',
mime: 'application/vnd.openxmlformats-officedocument.presentationml.presentation'
};
} else if (checkString('xl/', {
offset
})) {
type = {
ext: 'xlsx',
mime: 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet'
};
}
}
if (oxmlFound && type) {
return type;
}
zipHeaderIndex = findNextZipHeaderIndex(buf, offset);
} while (zipHeaderIndex >= 0); // No more zip parts available in the buffer, but maybe we are almost certain about the type?
if (type) {
return type;
}
}
if (check([0x50, 0x4B]) && (buf[2] === 0x3 || buf[2] === 0x5 || buf[2] === 0x7) && (buf[3] === 0x4 || buf[3] === 0x6 || buf[3] === 0x8)) {
return {
ext: 'zip',
mime: 'application/zip'
};
}
if (check([0x75, 0x73, 0x74, 0x61, 0x72], {
offset: 257
})) {
return {
ext: 'tar',
mime: 'application/x-tar'
};
}
if (check([0x52, 0x61, 0x72, 0x21, 0x1A, 0x7]) && (buf[6] === 0x0 || buf[6] === 0x1)) {
return {
ext: 'rar',
mime: 'application/x-rar-compressed'
};
}
if (check([0x1F, 0x8B, 0x8])) {
return {
ext: 'gz',
mime: 'application/gzip'
};
}
if (check([0x42, 0x5A, 0x68])) {
return {
ext: 'bz2',
mime: 'application/x-bzip2'
};
}
if (check([0x37, 0x7A, 0xBC, 0xAF, 0x27, 0x1C])) {
return {
ext: '7z',
mime: 'application/x-7z-compressed'
};
}
if (check([0x78, 0x01])) {
return {
ext: 'dmg',
mime: 'application/x-apple-diskimage'
};
}
if (check([0x33, 0x67, 0x70, 0x35]) || // 3gp5
check([0x0, 0x0, 0x0]) && check([0x66, 0x74, 0x79, 0x70], {
offset: 4
}) && (check([0x6D, 0x70, 0x34, 0x31], {
offset: 8
}) || // MP41
check([0x6D, 0x70, 0x34, 0x32], {
offset: 8
}) || // MP42
check([0x69, 0x73, 0x6F, 0x6D], {
offset: 8
}) || // ISOM
check([0x69, 0x73, 0x6F, 0x32], {
offset: 8
}) || // ISO2
check([0x6D, 0x6D, 0x70, 0x34], {
offset: 8
}) || // MMP4
check([0x4D, 0x34, 0x56], {
offset: 8
}) || // M4V
check([0x64, 0x61, 0x73, 0x68], {
offset: 8
}) // DASH
)) {
return {
ext: 'mp4',
mime: 'video/mp4'
};
}
if (check([0x4D, 0x54, 0x68, 0x64])) {
return {
ext: 'mid',
mime: 'audio/midi'
};
} // https://github.com/threatstack/libmagic/blob/master/magic/Magdir/matroska
if (check([0x1A, 0x45, 0xDF, 0xA3])) {
const sliced = buf.subarray(4, 4 + 4096);
const idPos = sliced.findIndex((el, i, arr) => arr[i] === 0x42 && arr[i + 1] === 0x82);
if (idPos !== -1) {
const docTypePos = idPos + 3;
const findDocType = type => [...type].every((c, i) => sliced[docTypePos + i] === c.charCodeAt(0));
if (findDocType('matroska')) {
return {
ext: 'mkv',
mime: 'video/x-matroska'
};
}
if (findDocType('webm')) {
return {
ext: 'webm',
mime: 'video/webm'
};
}
}
}
if (check([0x0, 0x0, 0x0, 0x14, 0x66, 0x74, 0x79, 0x70, 0x71, 0x74, 0x20, 0x20]) || check([0x66, 0x72, 0x65, 0x65], {
offset: 4
}) || // Type: `free`
check([0x66, 0x74, 0x79, 0x70, 0x71, 0x74, 0x20, 0x20], {
offset: 4
}) || check([0x6D, 0x64, 0x61, 0x74], {
offset: 4
}) || // MJPEG
check([0x6D, 0x6F, 0x6F, 0x76], {
offset: 4
}) || // Type: `moov`
check([0x77, 0x69, 0x64, 0x65], {
offset: 4
})) {
return {
ext: 'mov',
mime: 'video/quicktime'
};
} // RIFF file format which might be AVI, WAV, QCP, etc
if (check([0x52, 0x49, 0x46, 0x46])) {
if (check([0x41, 0x56, 0x49], {
offset: 8
})) {
return {
ext: 'avi',
mime: 'video/vnd.avi'
};
}
if (check([0x57, 0x41, 0x56, 0x45], {
offset: 8
})) {
return {
ext: 'wav',
mime: 'audio/vnd.wave'
};
} // QLCM, QCP file
if (check([0x51, 0x4C, 0x43, 0x4D], {
offset: 8
})) {
return {
ext: 'qcp',
mime: 'audio/qcelp'
};
}
} // ASF_Header_Object first 80 bytes
if (check([0x30, 0x26, 0xB2, 0x75, 0x8E, 0x66, 0xCF, 0x11, 0xA6, 0xD9])) {
// Search for header should be in first 1KB of file.
let offset = 30;
do {
const objectSize = readUInt64LE(buf, offset + 16);
if (check([0x91, 0x07, 0xDC, 0xB7, 0xB7, 0xA9, 0xCF, 0x11, 0x8E, 0xE6, 0x00, 0xC0, 0x0C, 0x20, 0x53, 0x65], {
offset
})) {
// Sync on Stream-Properties-Object (B7DC0791-A9B7-11CF-8EE6-00C00C205365)
if (check([0x40, 0x9E, 0x69, 0xF8, 0x4D, 0x5B, 0xCF, 0x11, 0xA8, 0xFD, 0x00, 0x80, 0x5F, 0x5C, 0x44, 0x2B], {
offset: offset + 24
})) {
// Found audio:
return {
ext: 'wma',
mime: 'audio/x-ms-wma'
};
}
if (check([0xC0, 0xEF, 0x19, 0xBC, 0x4D, 0x5B, 0xCF, 0x11, 0xA8, 0xFD, 0x00, 0x80, 0x5F, 0x5C, 0x44, 0x2B], {
offset: offset + 24
})) {
// Found video:
return {
ext: 'wmv',
mime: 'video/x-ms-asf'
};
}
break;
}
offset += objectSize;
} while (offset + 24 <= buf.length); // Default to ASF generic extension
return {
ext: 'asf',
mime: 'application/vnd.ms-asf'
};
}
if (check([0x0, 0x0, 0x1, 0xBA]) || check([0x0, 0x0, 0x1, 0xB3])) {
return {
ext: 'mpg',
mime: 'video/mpeg'
};
}
if (check([0x66, 0x74, 0x79, 0x70, 0x33, 0x67], {
offset: 4
})) {
return {
ext: '3gp',
mime: 'video/3gpp'
};
} // Check for MPEG header at different starting offsets
for (let start = 0; start < 2 && start < buf.length - 16; start++) {
if (check([0x49, 0x44, 0x33], {
offset: start
}) || // ID3 header
check([0xFF, 0xE2], {
offset: start,
mask: [0xFF, 0xE2]
}) // MPEG 1 or 2 Layer 3 header
) {
return {
ext: 'mp3',
mime: 'audio/mpeg'
};
}
if (check([0xFF, 0xE4], {
offset: start,
mask: [0xFF, 0xE4]
}) // MPEG 1 or 2 Layer 2 header
) {
return {
ext: 'mp2',
mime: 'audio/mpeg'
};
}
if (check([0xFF, 0xF8], {
offset: start,
mask: [0xFF, 0xFC]
}) // MPEG 2 layer 0 using ADTS
) {
return {
ext: 'mp2',
mime: 'audio/mpeg'
};
}
if (check([0xFF, 0xF0], {
offset: start,
mask: [0xFF, 0xFC]
}) // MPEG 4 layer 0 using ADTS
) {
return {
ext: 'mp4',
mime: 'audio/mpeg'
};
}
}
if (check([0x66, 0x74, 0x79, 0x70, 0x4D, 0x34, 0x41], {
offset: 4
})) {
return {
// MPEG-4 layer 3 (audio)
ext: 'm4a',
mime: 'audio/mp4' // RFC 4337
};
} // Needs to be before `ogg` check
if (check([0x4F, 0x70, 0x75, 0x73, 0x48, 0x65, 0x61, 0x64], {
offset: 28
})) {
return {
ext: 'opus',
mime: 'audio/opus'
};
} // If 'OggS' in first bytes, then OGG container
if (check([0x4F, 0x67, 0x67, 0x53])) {
// This is a OGG container
// If ' theora' in header.
if (check([0x80, 0x74, 0x68, 0x65, 0x6F, 0x72, 0x61], {
offset: 28
})) {
return {
ext: 'ogv',
mime: 'video/ogg'
};
} // If '\x01video' in header.
if (check([0x01, 0x76, 0x69, 0x64, 0x65, 0x6F, 0x00], {
offset: 28
})) {
return {
ext: 'ogm',
mime: 'video/ogg'
};
} // If ' FLAC' in header https://xiph.org/flac/faq.html
if (check([0x7F, 0x46, 0x4C, 0x41, 0x43], {
offset: 28
})) {
return {
ext: 'oga',
mime: 'audio/ogg'
};
} // 'Speex ' in header https://en.wikipedia.org/wiki/Speex
if (check([0x53, 0x70, 0x65, 0x65, 0x78, 0x20, 0x20], {
offset: 28
})) {
return {
ext: 'spx',
mime: 'audio/ogg'
};
} // If '\x01vorbis' in header
if (check([0x01, 0x76, 0x6F, 0x72, 0x62, 0x69, 0x73], {
offset: 28
})) {
return {
ext: 'ogg',
mime: 'audio/ogg'
};
} // Default OGG container https://www.iana.org/assignments/media-types/application/ogg
return {
ext: 'ogx',
mime: 'application/ogg'
};
}
if (check([0x66, 0x4C, 0x61, 0x43])) {
return {
ext: 'flac',
mime: 'audio/x-flac'
};
}
if (check([0x4D, 0x41, 0x43, 0x20])) {
// 'MAC '
return {
ext: 'ape',
mime: 'audio/ape'
};
}
if (check([0x77, 0x76, 0x70, 0x6B])) {
// 'wvpk'
return {
ext: 'wv',
mime: 'audio/wavpack'
};
}
if (check([0x23, 0x21, 0x41, 0x4D, 0x52, 0x0A])) {
return {
ext: 'amr',
mime: 'audio/amr'
};
}
if (check([0x25, 0x50, 0x44, 0x46])) {
return {
ext: 'pdf',
mime: 'application/pdf'
};
}
if (check([0x4D, 0x5A])) {
return {
ext: 'exe',
mime: 'application/x-msdownload'
};
}
if ((buf[0] === 0x43 || buf[0] === 0x46) && check([0x57, 0x53], {
offset: 1
})) {
return {
ext: 'swf',
mime: 'application/x-shockwave-flash'
};
}
if (check([0x7B, 0x5C, 0x72, 0x74, 0x66])) {
return {
ext: 'rtf',
mime: 'application/rtf'
};
}
if (check([0x00, 0x61, 0x73, 0x6D])) {
return {
ext: 'wasm',
mime: 'application/wasm'
};
}
if (check([0x77, 0x4F, 0x46, 0x46]) && (check([0x00, 0x01, 0x00, 0x00], {
offset: 4
}) || check([0x4F, 0x54, 0x54, 0x4F], {
offset: 4
}))) {
return {
ext: 'woff',
mime: 'font/woff'
};
}
if (check([0x77, 0x4F, 0x46, 0x32]) && (check([0x00, 0x01, 0x00, 0x00], {
offset: 4
}) || check([0x4F, 0x54, 0x54, 0x4F], {
offset: 4
}))) {
return {
ext: 'woff2',
mime: 'font/woff2'
};
}
if (check([0x4C, 0x50], {
offset: 34
}) && (check([0x00, 0x00, 0x01], {
offset: 8
}) || check([0x01, 0x00, 0x02], {
offset: 8
}) || check([0x02, 0x00, 0x02], {
offset: 8
}))) {
return {
ext: 'eot',
mime: 'application/vnd.ms-fontobject'
};
}
if (check([0x00, 0x01, 0x00, 0x00, 0x00])) {
return {
ext: 'ttf',
mime: 'font/ttf'
};
}
if (check([0x4F, 0x54, 0x54, 0x4F, 0x00])) {
return {
ext: 'otf',
mime: 'font/otf'
};
}
if (check([0x00, 0x00, 0x01, 0x00])) {
return {
ext: 'ico',
mime: 'image/x-icon'
};
}
if (check([0x00, 0x00, 0x02, 0x00])) {
return {
ext: 'cur',
mime: 'image/x-icon'
};
}
if (check([0x46, 0x4C, 0x56, 0x01])) {
return {
ext: 'flv',
mime: 'video/x-flv'
};
}
if (check([0x25, 0x21])) {
return {
ext: 'ps',
mime: 'application/postscript'
};
}
if (check([0xFD, 0x37, 0x7A, 0x58, 0x5A, 0x00])) {
return {
ext: 'xz',
mime: 'application/x-xz'
};
}
if (check([0x53, 0x51, 0x4C, 0x69])) {
return {
ext: 'sqlite',
mime: 'application/x-sqlite3'
};
}
if (check([0x4E, 0x45, 0x53, 0x1A])) {
return {
ext: 'nes',
mime: 'application/x-nintendo-nes-rom'
};
}
if (check([0x43, 0x72, 0x32, 0x34])) {
return {
ext: 'crx',
mime: 'application/x-google-chrome-extension'
};
}
if (check([0x4D, 0x53, 0x43, 0x46]) || check([0x49, 0x53, 0x63, 0x28])) {
return {
ext: 'cab',
mime: 'application/vnd.ms-cab-compressed'
};
} // Needs to be before `ar` check
if (check([0x21, 0x3C, 0x61, 0x72, 0x63, 0x68, 0x3E, 0x0A, 0x64, 0x65, 0x62, 0x69, 0x61, 0x6E, 0x2D, 0x62, 0x69, 0x6E, 0x61, 0x72, 0x79])) {
return {
ext: 'deb',
mime: 'application/x-deb'
};
}
if (check([0x21, 0x3C, 0x61, 0x72, 0x63, 0x68, 0x3E])) {
return {
ext: 'ar',
mime: 'application/x-unix-archive'
};
}
if (check([0xED, 0xAB, 0xEE, 0xDB])) {
return {
ext: 'rpm',
mime: 'application/x-rpm'
};
}
if (check([0x1F, 0xA0]) || check([0x1F, 0x9D])) {
return {
ext: 'Z',
mime: 'application/x-compress'
};
}
if (check([0x4C, 0x5A, 0x49, 0x50])) {
return {
ext: 'lz',
mime: 'application/x-lzip'
};
}
if (check([0xD0, 0xCF, 0x11, 0xE0, 0xA1, 0xB1, 0x1A, 0xE1])) {
return {
ext: 'msi',
mime: 'application/x-msi'
};
}
if (check([0x06, 0x0E, 0x2B, 0x34, 0x02, 0x05, 0x01, 0x01, 0x0D, 0x01, 0x02, 0x01, 0x01, 0x02])) {
return {
ext: 'mxf',
mime: 'application/mxf'
};
}
if (check([0x47], {
offset: 4
}) && (check([0x47], {
offset: 192
}) || check([0x47], {
offset: 196
}))) {
return {
ext: 'mts',
mime: 'video/mp2t'
};
}
if (check([0x42, 0x4C, 0x45, 0x4E, 0x44, 0x45, 0x52])) {
return {
ext: 'blend',
mime: 'application/x-blender'
};
}
if (check([0x42, 0x50, 0x47, 0xFB])) {
return {
ext: 'bpg',
mime: 'image/bpg'
};
}
if (check([0x00, 0x00, 0x00, 0x0C, 0x6A, 0x50, 0x20, 0x20, 0x0D, 0x0A, 0x87, 0x0A])) {
// JPEG-2000 family
if (check([0x6A, 0x70, 0x32, 0x20], {
offset: 20
})) {
return {
ext: 'jp2',
mime: 'image/jp2'
};
}
if (check([0x6A, 0x70, 0x78, 0x20], {
offset: 20
})) {
return {
ext: 'jpx',
mime: 'image/jpx'
};
}
if (check([0x6A, 0x70, 0x6D, 0x20], {
offset: 20
})) {
return {
ext: 'jpm',
mime: 'image/jpm'
};
}
if (check([0x6D, 0x6A, 0x70, 0x32], {
offset: 20
})) {
return {
ext: 'mj2',
mime: 'image/mj2'
};
}
}
if (check([0x46, 0x4F, 0x52, 0x4D])) {
return {
ext: 'aif',
mime: 'audio/aiff'
};
}
if (checkString(' new Promise((resolve, reject) => {
// Using `eval` to work around issues when bundling with Webpack
const stream = eval('require')('stream'); // eslint-disable-line no-eval
readableStream.once('readable', () => {
const pass = new stream.PassThrough();
const chunk = readableStream.read(module.exports.minimumBytes) || readableStream.read();
try {
pass.fileType = fileType(chunk);
} catch (error) {
reject(error);
}
readableStream.unshift(chunk);
if (stream.pipeline) {
resolve(stream.pipeline(readableStream, pass, () => {}));
} else {
resolve(readableStream.pipe(pass));
}
});
});
})(fileType$1);
const fileType = fileType$1.exports;
const imageExts = new Set(['jpg', 'png', 'gif', 'webp', 'flif', 'cr2', 'tif', 'bmp', 'jxr', 'psd', 'ico', 'bpg', 'jp2', 'jpm', 'jpx', 'heic', 'cur', 'dcm']);
const imageType = input => {
const ret = fileType(input);
return imageExts.has(ret && ret.ext) ? ret : null;
};
imageType$2.exports = imageType; // TODO: Remove this for the next major release
imageType$2.exports.default = imageType;
Object.defineProperty(imageType, 'minimumBytes', {
value: fileType.minimumBytes
});
var imageType$1 = imageType$2.exports;
function guessStripByteCounts(ifd) {
if (ifd.compression !== 1) {
throw new Error('missing mandatory StripByteCounts field in compressed image');
}
const bytesPerStrip = ifd.rowsPerStrip * ifd.width * ifd.samplesPerPixel * (ifd.bitsPerSample / 8);
return new Array(ifd.stripOffsets.length).fill(bytesPerStrip);
}
// Section 14: Differencing Predictor (p. 64)
function applyHorizontalDifferencing8Bit(data, width, components) {
let i = 0;
while (i < data.length) {
for (let j = components; j < width * components; j += components) {
for (let k = 0; k < components; k++) {
data[i + j + k] = data[i + j + k] + data[i + j - (components - k)] & 255;
}
}
i += width * components;
}
}
function applyHorizontalDifferencing16Bit(data, width, components) {
let i = 0;
while (i < data.length) {
for (let j = components; j < width * components; j += components) {
for (let k = 0; k < components; k++) {
data[i + j + k] = data[i + j + k] + data[i + j - (components - k)] & 65535;
}
}
i += width * components;
}
}
const tagsById$2 = {
0x829a: 'ExposureTime',
0x829d: 'FNumber',
0x8822: 'ExposureProgram',
0x8824: 'SpectralSensitivity',
0x8827: 'ISOSpeedRatings',
0x8828: 'OECF',
0x8830: 'SensitivityType',
0x8831: 'StandardOutputSensitivity',
0x8832: 'RecommendedExposureIndex',
0x8833: 'ISOSpeed',
0x8834: 'ISOSpeedLatitudeyyy',
0x8835: 'ISOSpeedLatitudezzz',
0x9000: 'ExifVersion',
0x9003: 'DateTimeOriginal',
0x9004: 'DateTimeDigitized',
0x9101: 'ComponentsConfiguration',
0x9102: 'CompressedBitsPerPixel',
0x9201: 'ShutterSpeedValue',
0x9202: 'ApertureValue',
0x9203: 'BrightnessValue',
0x9204: 'ExposureBiasValue',
0x9205: 'MaxApertureValue',
0x9206: 'SubjectDistance',
0x9207: 'MeteringMode',
0x9208: 'LightSource',
0x9209: 'Flash',
0x920a: 'FocalLength',
0x9214: 'SubjectArea',
0x927c: 'MakerNote',
0x9286: 'UserComment',
0x9290: 'SubsecTime',
0x9291: 'SubsecTimeOriginal',
0x9292: 'SubsecTimeDigitized',
0xa000: 'FlashpixVersion',
0xa001: 'ColorSpace',
0xa002: 'PixelXDimension',
0xa003: 'PixelYDimension',
0xa004: 'RelatedSoundFile',
0xa20b: 'FlashEnergy',
0xa20c: 'SpatialFrequencyResponse',
0xa20e: 'FocalPlaneXResolution',
0xa20f: 'FocalPlaneYResolution',
0xa210: 'FocalPlaneResolutionUnit',
0xa214: 'SubjectLocation',
0xa215: 'ExposureIndex',
0xa217: 'SensingMethod',
0xa300: 'FileSource',
0xa301: 'SceneType',
0xa302: 'CFAPattern',
0xa401: 'CustomRendered',
0xa402: 'ExposureMode',
0xa403: 'WhiteBalance',
0xa404: 'DigitalZoomRatio',
0xa405: 'FocalLengthIn35mmFilm',
0xa406: 'SceneCaptureType',
0xa407: 'GainControl',
0xa408: 'Contrast',
0xa409: 'Saturation',
0xa40a: 'Sharpness',
0xa40b: 'DeviceSettingDescription',
0xa40c: 'SubjectDistanceRange',
0xa420: 'ImageUniqueID',
0xa430: 'CameraOwnerName',
0xa431: 'BodySerialNumber',
0xa432: 'LensSpecification',
0xa433: 'LensMake',
0xa434: 'LensModel',
0xa435: 'LensSerialNumber',
0xa500: 'Gamma'
};
const tagsByName$2 = {};
for (let i in tagsById$2) {
tagsByName$2[tagsById$2[i]] = Number(i);
}
var exif = /*#__PURE__*/Object.freeze({
__proto__: null,
tagsById: tagsById$2,
tagsByName: tagsByName$2
});
const tagsById$1 = {
0x0000: 'GPSVersionID',
0x0001: 'GPSLatitudeRef',
0x0002: 'GPSLatitude',
0x0003: 'GPSLongitudeRef',
0x0004: 'GPSLongitude',
0x0005: 'GPSAltitudeRef',
0x0006: 'GPSAltitude',
0x0007: 'GPSTimeStamp',
0x0008: 'GPSSatellites',
0x0009: 'GPSStatus',
0x000a: 'GPSMeasureMode',
0x000b: 'GPSDOP',
0x000c: 'GPSSpeedRef',
0x000d: 'GPSSpeed',
0x000e: 'GPSTrackRef',
0x000f: 'GPSTrack',
0x0010: 'GPSImgDirectionRef',
0x0011: 'GPSImgDirection',
0x0012: 'GPSMapDatum',
0x0013: 'GPSDestLatitudeRef',
0x0014: 'GPSDestLatitude',
0x0015: 'GPSDestLongitudeRef',
0x0016: 'GPSDestLongitude',
0x0017: 'GPSDestBearingRef',
0x0018: 'GPSDestBearing',
0x0019: 'GPSDestDistanceRef',
0x001a: 'GPSDestDistance',
0x001b: 'GPSProcessingMethod',
0x001c: 'GPSAreaInformation',
0x001d: 'GPSDateStamp',
0x001e: 'GPSDifferential',
0x001f: 'GPSHPositioningError'
};
const tagsByName$1 = {};
for (let i in tagsById$1) {
tagsByName$1[tagsById$1[i]] = Number(i);
}
var gps = /*#__PURE__*/Object.freeze({
__proto__: null,
tagsById: tagsById$1,
tagsByName: tagsByName$1
});
const tagsById = {
// Baseline tags
0x00fe: 'NewSubfileType',
0x00ff: 'SubfileType',
0x0100: 'ImageWidth',
0x0101: 'ImageLength',
0x0102: 'BitsPerSample',
0x0103: 'Compression',
0x0106: 'PhotometricInterpretation',
0x0107: 'Threshholding',
0x0108: 'CellWidth',
0x0109: 'CellLength',
0x010a: 'FillOrder',
0x010e: 'ImageDescription',
0x010f: 'Make',
0x0110: 'Model',
0x0111: 'StripOffsets',
0x0112: 'Orientation',
0x0115: 'SamplesPerPixel',
0x0116: 'RowsPerStrip',
0x0117: 'StripByteCounts',
0x0118: 'MinSampleValue',
0x0119: 'MaxSampleValue',
0x011a: 'XResolution',
0x011b: 'YResolution',
0x011c: 'PlanarConfiguration',
0x0120: 'FreeOffsets',
0x0121: 'FreeByteCounts',
0x0122: 'GrayResponseUnit',
0x0123: 'GrayResponseCurve',
0x0128: 'ResolutionUnit',
0x0131: 'Software',
0x0132: 'DateTime',
0x013b: 'Artist',
0x013c: 'HostComputer',
0x0140: 'ColorMap',
0x0152: 'ExtraSamples',
0x8298: 'Copyright',
// Extension tags
0x010d: 'DocumentName',
0x011d: 'PageName',
0x011e: 'XPosition',
0x011f: 'YPosition',
0x0124: 'T4Options',
0x0125: 'T6Options',
0x0129: 'PageNumber',
0x012d: 'TransferFunction',
0x013d: 'Predictor',
0x013e: 'WhitePoint',
0x013f: 'PrimaryChromaticities',
0x0141: 'HalftoneHints',
0x0142: 'TileWidth',
0x0143: 'TileLength',
0x0144: 'TileOffsets',
0x0145: 'TileByteCounts',
0x0146: 'BadFaxLines',
0x0147: 'CleanFaxData',
0x0148: 'ConsecutiveBadFaxLines',
0x014a: 'SubIFDs',
0x014c: 'InkSet',
0x014d: 'InkNames',
0x014e: 'NumberOfInks',
0x0150: 'DotRange',
0x0151: 'TargetPrinter',
0x0153: 'SampleFormat',
0x0154: 'SMinSampleValue',
0x0155: 'SMaxSampleValue',
0x0156: 'TransferRange',
0x0157: 'ClipPath',
0x0158: 'XClipPathUnits',
0x0159: 'YClipPathUnits',
0x015a: 'Indexed',
0x015b: 'JPEGTables',
0x015f: 'OPIProxy',
0x0190: 'GlobalParametersIFD',
0x0191: 'ProfileType',
0x0192: 'FaxProfile',
0x0193: 'CodingMethods',
0x0194: 'VersionYear',
0x0195: 'ModeNumber',
0x01b1: 'Decode',
0x01b2: 'DefaultImageColor',
0x0200: 'JPEGProc',
0x0201: 'JPEGInterchangeFormat',
0x0202: 'JPEGInterchangeFormatLength',
0x0203: 'JPEGRestartInterval',
0x0205: 'JPEGLosslessPredictors',
0x0206: 'JPEGPointTransforms',
0x0207: 'JPEGQTables',
0x0208: 'JPEGDCTables',
0x0209: 'JPEGACTables',
0x0211: 'YCbCrCoefficients',
0x0212: 'YCbCrSubSampling',
0x0213: 'YCbCrPositioning',
0x0214: 'ReferenceBlackWhite',
0x022f: 'StripRowCounts',
0x02bc: 'XMP',
0x800d: 'ImageID',
0x87ac: 'ImageLayer',
// Private tags
0x80a4: 'WangAnnotatio',
0x82a5: 'MDFileTag',
0x82a6: 'MDScalePixel',
0x82a7: 'MDColorTable',
0x82a8: 'MDLabName',
0x82a9: 'MDSampleInfo',
0x82aa: 'MDPrepDate',
0x82ab: 'MDPrepTime',
0x82ac: 'MDFileUnits',
0x830e: 'ModelPixelScaleTag',
0x83bb: 'IPTC',
0x847e: 'INGRPacketDataTag',
0x847f: 'INGRFlagRegisters',
0x8480: 'IrasBTransformationMatrix',
0x8482: 'ModelTiepointTag',
0x85d8: 'ModelTransformationTag',
0x8649: 'Photoshop',
0x8769: 'ExifIFD',
0x8773: 'ICCProfile',
0x87af: 'GeoKeyDirectoryTag',
0x87b0: 'GeoDoubleParamsTag',
0x87b1: 'GeoAsciiParamsTag',
0x8825: 'GPSIFD',
0x885c: 'HylaFAXFaxRecvParams',
0x885d: 'HylaFAXFaxSubAddress',
0x885e: 'HylaFAXFaxRecvTime',
0x935c: 'ImageSourceData',
0xa005: 'InteroperabilityIFD',
0xa480: 'GDAL_METADATA',
0xa481: 'GDAL_NODATA',
0xc427: 'OceScanjobDescription',
0xc428: 'OceApplicationSelector',
0xc429: 'OceIdentificationNumber',
0xc42a: 'OceImageLogicCharacteristics',
0xc612: 'DNGVersion',
0xc613: 'DNGBackwardVersion',
0xc614: 'UniqueCameraModel',
0xc615: 'LocalizedCameraModel',
0xc616: 'CFAPlaneColor',
0xc617: 'CFALayout',
0xc618: 'LinearizationTable',
0xc619: 'BlackLevelRepeatDim',
0xc61a: 'BlackLevel',
0xc61b: 'BlackLevelDeltaH',
0xc61c: 'BlackLevelDeltaV',
0xc61d: 'WhiteLevel',
0xc61e: 'DefaultScale',
0xc61f: 'DefaultCropOrigin',
0xc620: 'DefaultCropSize',
0xc621: 'ColorMatrix1',
0xc622: 'ColorMatrix2',
0xc623: 'CameraCalibration1',
0xc624: 'CameraCalibration2',
0xc625: 'ReductionMatrix1',
0xc626: 'ReductionMatrix2',
0xc627: 'AnalogBalance',
0xc628: 'AsShotNeutral',
0xc629: 'AsShotWhiteXY',
0xc62a: 'BaselineExposure',
0xc62b: 'BaselineNoise',
0xc62c: 'BaselineSharpness',
0xc62d: 'BayerGreenSplit',
0xc62e: 'LinearResponseLimit',
0xc62f: 'CameraSerialNumber',
0xc630: 'LensInfo',
0xc631: 'ChromaBlurRadius',
0xc632: 'AntiAliasStrength',
0xc634: 'DNGPrivateData',
0xc635: 'MakerNoteSafety',
0xc65a: 'CalibrationIlluminant1',
0xc65b: 'CalibrationIlluminant2',
0xc65c: 'BestQualityScale',
0xc660: 'AliasLayerMetadata'
};
const tagsByName = {};
for (let i in tagsById) {
tagsByName[tagsById[i]] = Number(i);
}
var standard = /*#__PURE__*/Object.freeze({
__proto__: null,
tagsById: tagsById,
tagsByName: tagsByName
});
const tags = {
standard,
exif,
gps
};
class IFD {
constructor(kind) {
if (!kind) {
throw new Error('missing kind');
}
this.data = new Uint8Array();
this.fields = new Map();
this.kind = kind;
this._hasMap = false;
this._map = {};
}
get(tag) {
if (typeof tag === 'number') {
return this.fields.get(tag);
} else if (typeof tag === 'string') {
return this.fields.get(tags[this.kind].tagsByName[tag]);
} else {
throw new Error('expected a number or string');
}
}
get map() {
if (!this._hasMap) {
const taglist = tags[this.kind].tagsById;
for (let key of this.fields.keys()) {
if (taglist[key]) {
this._map[taglist[key]] = this.fields.get(key);
}
}
this._hasMap = true;
}
return this._map;
}
}
let types = new Map([[1, [1, readByte]], [2, [1, readASCII]], [3, [2, readShort]], [4, [4, readLong]], [5, [8, readRational]], [6, [1, readSByte]], [7, [1, readByte]], [8, [2, readSShort]], [9, [4, readSLong]], [10, [8, readSRational]], [11, [4, readFloat]], [12, [8, readDouble]] // DOUBLE
]);
function getByteLength(type, count) {
const val = types.get(type);
if (!val) throw new Error(`type not found: ${type}`);
return val[0] * count;
}
function readData(decoder, type, count) {
const val = types.get(type);
if (!val) throw new Error(`type not found: ${type}`);
return val[1](decoder, count);
}
function readByte(decoder, count) {
if (count === 1) return decoder.readUint8();
let array = new Uint8Array(count);
for (let i = 0; i < count; i++) {
array[i] = decoder.readUint8();
}
return array;
}
function readASCII(decoder, count) {
let strings = [];
let currentString = '';
for (let i = 0; i < count; i++) {
let char = String.fromCharCode(decoder.readUint8());
if (char === '\0') {
strings.push(currentString);
currentString = '';
} else {
currentString += char;
}
}
if (strings.length === 1) {
return strings[0];
} else {
return strings;
}
}
function readShort(decoder, count) {
if (count === 1) return decoder.readUint16();
let array = new Uint16Array(count);
for (let i = 0; i < count; i++) {
array[i] = decoder.readUint16();
}
return array;
}
function readLong(decoder, count) {
if (count === 1) return decoder.readUint32();
let array = new Uint32Array(count);
for (let i = 0; i < count; i++) {
array[i] = decoder.readUint32();
}
return array;
}
function readRational(decoder, count) {
if (count === 1) {
return decoder.readUint32() / decoder.readUint32();
}
let rationals = new Array(count);
for (let i = 0; i < count; i++) {
rationals[i] = decoder.readUint32() / decoder.readUint32();
}
return rationals;
}
function readSByte(decoder, count) {
if (count === 1) return decoder.readInt8();
let array = new Int8Array(count);
for (let i = 0; i < count; i++) {
array[i] = decoder.readInt8();
}
return array;
}
function readSShort(decoder, count) {
if (count === 1) return decoder.readInt16();
let array = new Int16Array(count);
for (let i = 0; i < count; i++) {
array[i] = decoder.readInt16();
}
return array;
}
function readSLong(decoder, count) {
if (count === 1) return decoder.readInt32();
let array = new Int32Array(count);
for (let i = 0; i < count; i++) {
array[i] = decoder.readInt32();
}
return array;
}
function readSRational(decoder, count) {
if (count === 1) {
return decoder.readInt32() / decoder.readInt32();
}
let rationals = new Array(count);
for (let i = 0; i < count; i++) {
rationals[i] = decoder.readInt32() / decoder.readInt32();
}
return rationals;
}
function readFloat(decoder, count) {
if (count === 1) return decoder.readFloat32();
let array = new Float32Array(count);
for (let i = 0; i < count; i++) {
array[i] = decoder.readFloat32();
}
return array;
}
function readDouble(decoder, count) {
if (count === 1) return decoder.readFloat64();
let array = new Float64Array(count);
for (let i = 0; i < count; i++) {
array[i] = decoder.readFloat64();
}
return array;
}
const CLEAR_CODE = 256;
const EOI_CODE = 257; // 0-255 from the table + 256 for clear code + 257 for end of information code.
const TABLE_START = 258;
const MIN_BIT_LENGTH = 9;
let stringTable = [];
function initializeStringTable() {
if (stringTable.length === 0) {
for (let i = 0; i < 256; i++) {
stringTable.push([i]);
} // Fill the table with dummy data.
// Elements at indices > 257 will be replaced during decompression.
const dummyString = [];
for (let i = 256; i < 4096; i++) {
stringTable.push(dummyString);
}
}
}
const andTable = [511, 1023, 2047, 4095];
const bitJumps = [0, 0, 0, 0, 0, 0, 0, 0, 0, 511, 1023, 2047, 4095];
class LzwDecoder {
constructor(data) {
this.nextData = 0;
this.nextBits = 0;
this.bytePointer = 0;
this.tableLength = TABLE_START;
this.currentBitLength = MIN_BIT_LENGTH;
this.stripArray = new Uint8Array(data.buffer, data.byteOffset, data.byteLength);
this.outData = new IOBuffer$4(data.byteLength);
this.initializeTable();
}
decode() {
let code = 0;
let oldCode = 0;
while ((code = this.getNextCode()) !== EOI_CODE) {
if (code === CLEAR_CODE) {
this.initializeTable();
code = this.getNextCode();
if (code === EOI_CODE) {
break;
}
this.writeString(this.stringFromCode(code));
oldCode = code;
} else if (this.isInTable(code)) {
this.writeString(this.stringFromCode(code));
this.addStringToTable(this.stringFromCode(oldCode).concat(this.stringFromCode(code)[0]));
oldCode = code;
} else {
const outString = this.stringFromCode(oldCode).concat(this.stringFromCode(oldCode)[0]);
this.writeString(outString);
this.addStringToTable(outString);
oldCode = code;
}
}
const outArray = this.outData.toArray();
return new DataView(outArray.buffer, outArray.byteOffset, outArray.byteLength);
}
initializeTable() {
initializeStringTable();
this.tableLength = TABLE_START;
this.currentBitLength = MIN_BIT_LENGTH;
}
writeString(string) {
this.outData.writeBytes(string);
}
stringFromCode(code) {
// At this point, `code` must be defined in the table.
return stringTable[code];
}
isInTable(code) {
return code < this.tableLength;
}
addStringToTable(string) {
stringTable[this.tableLength++] = string;
if (stringTable.length > 4096) {
stringTable = [];
throw new Error('LZW decoding error. Please open an issue at https://github.com/image-js/tiff/issues/new/choose (include a test image).');
}
if (this.tableLength === bitJumps[this.currentBitLength]) {
this.currentBitLength++;
}
}
getNextCode() {
this.nextData = this.nextData << 8 | this.stripArray[this.bytePointer++] & 0xff;
this.nextBits += 8;
if (this.nextBits < this.currentBitLength) {
this.nextData = this.nextData << 8 | this.stripArray[this.bytePointer++] & 0xff;
this.nextBits += 8;
}
const code = this.nextData >> this.nextBits - this.currentBitLength & andTable[this.currentBitLength - 9];
this.nextBits -= this.currentBitLength; // This should not really happen but is present in other codes as well.
// See: https://github.com/sugark/Tiffus/blob/15a60123813d1612f4ae9e4fab964f9f7d71cf63/src/org/eclipse/swt/internal/image/TIFFLZWDecoder.java
if (this.bytePointer > this.stripArray.length) {
return 257;
}
return code;
}
}
function decompressLzw(stripData) {
return new LzwDecoder(stripData).decode();
}
const dateTimeRegex = /^(\d{4}):(\d{2}):(\d{2}) (\d{2}):(\d{2}):(\d{2})$/;
class TiffIfd extends IFD {
constructor() {
super('standard');
} // Custom fields
get size() {
return this.width * this.height;
}
get width() {
return this.imageWidth;
}
get height() {
return this.imageLength;
}
get components() {
return this.samplesPerPixel;
}
get date() {
let date = new Date();
let result = dateTimeRegex.exec(this.dateTime);
if (result === null) {
throw new Error(`invalid dateTime: ${this.dateTime}`);
}
date.setFullYear(Number(result[1]), Number(result[2]) - 1, Number(result[3]));
date.setHours(Number(result[4]), Number(result[5]), Number(result[6]));
return date;
} // IFD fields
get newSubfileType() {
return this.get('NewSubfileType');
}
get imageWidth() {
return this.get('ImageWidth');
}
get imageLength() {
return this.get('ImageLength');
}
get bitsPerSample() {
const data = this.get('BitsPerSample');
if (data && typeof data !== 'number') {
return data[0];
}
return data;
}
get alpha() {
const extraSamples = this.extraSamples;
if (!extraSamples) return false;
return extraSamples[0] !== 0;
}
get associatedAlpha() {
const extraSamples = this.extraSamples;
if (!extraSamples) return false;
return extraSamples[0] === 1;
}
get extraSamples() {
return alwaysArray(this.get('ExtraSamples'));
}
get compression() {
return this.get('Compression') || 1;
}
get type() {
return this.get('PhotometricInterpretation');
}
get fillOrder() {
return this.get('FillOrder') || 1;
}
get documentName() {
return this.get('DocumentName');
}
get imageDescription() {
return this.get('ImageDescription');
}
get stripOffsets() {
return alwaysArray(this.get('StripOffsets'));
}
get orientation() {
return this.get('Orientation');
}
get samplesPerPixel() {
return this.get('SamplesPerPixel') || 1;
}
get rowsPerStrip() {
return this.get('RowsPerStrip');
}
get stripByteCounts() {
return alwaysArray(this.get('StripByteCounts'));
}
get minSampleValue() {
return this.get('MinSampleValue') || 0;
}
get maxSampleValue() {
return this.get('MaxSampleValue') || Math.pow(2, this.bitsPerSample) - 1;
}
get xResolution() {
return this.get('XResolution');
}
get yResolution() {
return this.get('YResolution');
}
get planarConfiguration() {
return this.get('PlanarConfiguration') || 1;
}
get resolutionUnit() {
return this.get('ResolutionUnit') || 2;
}
get dateTime() {
return this.get('DateTime');
}
get predictor() {
return this.get('Predictor') || 1;
}
get sampleFormat() {
return this.get('SampleFormat') || 1;
}
get sMinSampleValue() {
return this.get('SMinSampleValue') || this.minSampleValue;
}
get sMaxSampleValue() {
return this.get('SMaxSampleValue') || this.maxSampleValue;
}
get palette() {
const totalColors = 2 ** this.bitsPerSample;
const colorMap = this.get('ColorMap');
if (!colorMap) return undefined;
if (colorMap.length !== 3 * totalColors) {
throw new Error(`ColorMap size must be ${totalColors}`);
}
const palette = [];
for (let i = 0; i < totalColors; i++) {
palette.push([colorMap[i], colorMap[i + totalColors], colorMap[i + 2 * totalColors]]);
}
return palette;
}
}
function alwaysArray(value) {
if (typeof value === 'number') return [value];
return value;
}
function decompressZlib(stripData) {
const stripUint8 = new Uint8Array(stripData.buffer, stripData.byteOffset, stripData.byteLength);
const inflated = inflate_1(stripUint8);
return new DataView(inflated.buffer, inflated.byteOffset, inflated.byteLength);
}
const defaultOptions$c = {
ignoreImageData: false,
onlyFirst: false
};
class TIFFDecoder extends IOBuffer$4 {
constructor(data) {
super(data);
this._nextIFD = 0;
}
get isMultiPage() {
let c = 0;
this.decodeHeader();
while (this._nextIFD) {
c++;
this.decodeIFD({
ignoreImageData: true
}, true);
if (c === 2) {
return true;
}
}
if (c === 1) {
return false;
}
throw unsupported('ifdCount', c);
}
get pageCount() {
let c = 0;
this.decodeHeader();
while (this._nextIFD) {
c++;
this.decodeIFD({
ignoreImageData: true
}, true);
}
if (c > 0) {
return c;
}
throw unsupported('ifdCount', c);
}
decode() {
let options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};
options = Object.assign({}, defaultOptions$c, options);
const result = [];
this.decodeHeader();
while (this._nextIFD) {
result.push(this.decodeIFD(options, true));
if (options.onlyFirst) {
return [result[0]];
}
}
return result;
}
decodeHeader() {
// Byte offset
const value = this.readUint16();
if (value === 0x4949) {
this.setLittleEndian();
} else if (value === 0x4d4d) {
this.setBigEndian();
} else {
throw new Error(`invalid byte order: 0x${value.toString(16)}`);
} // Magic number
if (this.readUint16() !== 42) {
throw new Error('not a TIFF file');
} // Offset of the first IFD
this._nextIFD = this.readUint32();
}
decodeIFD(options, tiff) {
this.seek(this._nextIFD);
let ifd;
if (tiff) {
ifd = new TiffIfd();
} else {
if (!options.kind) {
throw new Error(`kind is missing`);
}
ifd = new IFD(options.kind);
}
const numEntries = this.readUint16();
for (let i = 0; i < numEntries; i++) {
this.decodeIFDEntry(ifd);
}
if (!options.ignoreImageData) {
if (!(ifd instanceof TiffIfd)) {
throw new Error('must be a tiff ifd');
}
this.decodeImageData(ifd);
}
this._nextIFD = this.readUint32();
return ifd;
}
decodeIFDEntry(ifd) {
const offset = this.offset;
const tag = this.readUint16();
const type = this.readUint16();
const numValues = this.readUint32();
if (type < 1 || type > 12) {
this.skip(4); // unknown type, skip this value
return;
}
const valueByteLength = getByteLength(type, numValues);
if (valueByteLength > 4) {
this.seek(this.readUint32());
}
const value = readData(this, type, numValues);
ifd.fields.set(tag, value); // Read sub-IFDs
if (tag === 0x8769 || tag === 0x8825) {
let currentOffset = this.offset;
let kind = 'exif';
if (tag === 0x8769) {
kind = 'exif';
} else if (tag === 0x8825) {
kind = 'gps';
}
this._nextIFD = value;
ifd[kind] = this.decodeIFD({
kind,
ignoreImageData: true
}, false);
this.offset = currentOffset;
} // go to the next entry
this.seek(offset);
this.skip(12);
}
decodeImageData(ifd) {
const orientation = ifd.orientation;
if (orientation && orientation !== 1) {
throw unsupported('orientation', orientation);
}
switch (ifd.type) {
case 0: // WhiteIsZero
case 1: // BlackIsZero
case 2: // RGB
case 3:
// Palette color
this.readStripData(ifd);
break;
default:
throw unsupported('image type', ifd.type);
}
this.applyPredictor(ifd);
this.convertAlpha(ifd);
if (ifd.type === 0) {
// WhiteIsZero: we invert the values
const bitDepth = ifd.bitsPerSample;
const maxValue = Math.pow(2, bitDepth) - 1;
for (let i = 0; i < ifd.data.length; i++) {
ifd.data[i] = maxValue - ifd.data[i];
}
}
}
readStripData(ifd) {
const width = ifd.width;
const height = ifd.height;
const bitDepth = ifd.bitsPerSample;
const sampleFormat = ifd.sampleFormat;
const size = width * height * ifd.samplesPerPixel;
const data = getDataArray(size, bitDepth, sampleFormat);
const rowsPerStrip = ifd.rowsPerStrip;
const maxPixels = rowsPerStrip * width * ifd.samplesPerPixel;
const stripOffsets = ifd.stripOffsets;
const stripByteCounts = ifd.stripByteCounts || guessStripByteCounts(ifd);
let remainingPixels = size;
let pixel = 0;
for (let i = 0; i < stripOffsets.length; i++) {
let stripData = new DataView(this.buffer, this.byteOffset + stripOffsets[i], stripByteCounts[i]); // Last strip can be smaller
let length = remainingPixels > maxPixels ? maxPixels : remainingPixels;
remainingPixels -= length;
let dataToFill = stripData;
switch (ifd.compression) {
case 1:
{
// No compression, nothing to do
break;
}
case 5:
{
// LZW compression
dataToFill = decompressLzw(stripData);
break;
}
case 8:
{
// Zlib compression
dataToFill = decompressZlib(stripData);
break;
}
case 2:
// CCITT Group 3 1-Dimensional Modified Huffman run length encoding
throw unsupported('Compression', 'CCITT Group 3');
case 32773:
// PackBits compression
throw unsupported('Compression', 'PackBits');
default:
throw unsupported('Compression', ifd.compression);
}
pixel = this.fillUncompressed(bitDepth, sampleFormat, data, dataToFill, pixel, length);
}
ifd.data = data;
}
fillUncompressed(bitDepth, sampleFormat, data, stripData, pixel, length) {
if (bitDepth === 8) {
return fill8bit(data, stripData, pixel, length);
} else if (bitDepth === 16) {
return fill16bit(data, stripData, pixel, length, this.isLittleEndian());
} else if (bitDepth === 32 && sampleFormat === 3) {
return fillFloat32(data, stripData, pixel, length, this.isLittleEndian());
} else {
throw unsupported('bitDepth', bitDepth);
}
}
applyPredictor(ifd) {
const bitDepth = ifd.bitsPerSample;
switch (ifd.predictor) {
case 1:
{
// No prediction scheme, nothing to do
break;
}
case 2:
{
if (bitDepth === 8) {
applyHorizontalDifferencing8Bit(ifd.data, ifd.width, ifd.components);
} else if (bitDepth === 16) {
applyHorizontalDifferencing16Bit(ifd.data, ifd.width, ifd.components);
} else {
throw new Error(`Horizontal differencing is only supported for images with a bit depth of ${bitDepth}`);
}
break;
}
default:
throw new Error(`invalid predictor: ${ifd.predictor}`);
}
}
convertAlpha(ifd) {
if (ifd.alpha && ifd.associatedAlpha) {
const {
data,
components,
maxSampleValue
} = ifd;
for (let i = 0; i < data.length; i += components) {
const alphaValue = data[i + components - 1];
for (let j = 0; j < components - 1; j++) {
data[i + j] = Math.round(data[i + j] * maxSampleValue / alphaValue);
}
}
}
}
}
function getDataArray(size, bitDepth, sampleFormat) {
if (bitDepth === 8) {
return new Uint8Array(size);
} else if (bitDepth === 16) {
return new Uint16Array(size);
} else if (bitDepth === 32 && sampleFormat === 3) {
return new Float32Array(size);
} else {
throw unsupported('bit depth / sample format', `${bitDepth} / ${sampleFormat}`);
}
}
function fill8bit(dataTo, dataFrom, index, length) {
for (let i = 0; i < length; i++) {
dataTo[index++] = dataFrom.getUint8(i);
}
return index;
}
function fill16bit(dataTo, dataFrom, index, length, littleEndian) {
for (let i = 0; i < length * 2; i += 2) {
dataTo[index++] = dataFrom.getUint16(i, littleEndian);
}
return index;
}
function fillFloat32(dataTo, dataFrom, index, length, littleEndian) {
for (let i = 0; i < length * 4; i += 4) {
dataTo[index++] = dataFrom.getFloat32(i, littleEndian);
}
return index;
}
function unsupported(type, value) {
return new Error(`Unsupported ${type}: ${value}`);
}
function decodeTIFF(data, options) {
const decoder = new TIFFDecoder(data);
return decoder.decode(options);
}
/**
* We will try to move a set of images in order to get only the best common part of them.
* In a stack, we compare 2 consecutive images or directly to a parent.
* Ignoring border may be dangerous ! If there is a shape on the side of the image there will be a
* continuous shift if you ignore border. By default it is better to leave it to 0,0
* Now if the background is not black there will also be no way to shift ...
* It may therefore be much better to make a background correction before trying to match and crop.
* @memberof Stack
* @instance
* @param {object} [options]
* @param {string} [options.algorithm='matchToPrevious'] - matchToPrevious or matchToFirst
* @param {number[]} [options.ignoreBorder=[0, 0]]
* @return {Stack}
*/
function matchAndCrop() {
let options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};
let {
algorithm = 'matchToPrevious',
ignoreBorder = [0, 0]
} = options;
this.checkProcessable('matchAndCrop', {
bitDepth: [8, 16]
});
let matchToPrevious = algorithm === 'matchToPrevious';
let parent = this[0];
let results = [];
results[0] = {
position: [0, 0],
image: this[0]
};
let relativePosition = [0, 0]; // we calculate the best relative position to the parent image
for (let i = 1; i < this.length; i++) {
let position = parent.getBestMatch(this[i], {
border: ignoreBorder
});
results[i] = {
position: [position[0] + relativePosition[0], position[1] + relativePosition[1]],
image: this[i]
};
if (matchToPrevious) {
relativePosition[0] += position[0];
relativePosition[1] += position[1];
parent = this[i];
}
} // now we can calculate the cropping that we need to do
let leftShift = 0;
let rightShift = 0;
let topShift = 0;
let bottomShift = 0;
for (let i = 0; i < results.length; i++) {
let result = results[i];
if (result.position[0] > leftShift) {
leftShift = result.position[0];
}
if (result.position[0] < rightShift) {
rightShift = result.position[0];
}
if (result.position[1] > topShift) {
topShift = result.position[1];
}
if (result.position[1] < bottomShift) {
bottomShift = result.position[1];
}
}
rightShift = 0 - rightShift;
bottomShift = 0 - bottomShift;
for (let i = 0; i < results.length; i++) {
let result = results[i];
result.crop = result.image.crop({
x: leftShift - result.position[0],
y: topShift - result.position[1],
width: parent.width - rightShift - leftShift,
height: parent.height - bottomShift - topShift
});
} // finally we crop and create a new array of images
let newImages = [];
for (let i = 0; i < results.length; i++) {
newImages[i] = results[i].crop;
}
return new Stack(newImages);
}
/**
* @memberof Stack
* @instance
* @return {number[]}
*/
function min$2() {
this.checkProcessable('min', {
bitDepth: [8, 16]
});
let min = this[0].min;
for (let i = 1; i < this.length; i++) {
for (let j = 0; j < min.length; j++) {
min[j] = Math.min(min[j], this[i].min[j]);
}
}
return min;
}
/**
* @memberof Stack
* @instance
* @return {number[]}
*/
function max$2() {
this.checkProcessable('min', {
bitDepth: [8, 16]
});
let max = this[0].max;
for (let i = 1; i < this.length; i++) {
for (let j = 0; j < max.length; j++) {
max[j] = Math.max(max[j], this[i].max[j]);
}
}
return max;
}
/**
* Returns the median of an histogram
* @param {number[]} histogram
* @return {number}
* @private
*/
function median$2(histogram) {
let total = histogram.reduce((sum, x) => sum + x);
if (total === 0) {
throw new Error('unreachable');
}
let position = 0;
let currentTotal = 0;
let middle = total / 2;
let previous;
while (true) {
if (histogram[position] > 0) {
if (previous !== undefined) {
return (previous + position) / 2;
}
currentTotal += histogram[position];
if (currentTotal > middle) {
return position;
} else if (currentTotal === middle) {
previous = position;
}
}
position++;
}
}
/**
* Retuns the mean of an histogram
* @param {number[]} histogram
* @return {number}
* @private
*/
function mean$2(histogram) {
let total = 0;
let sum = 0;
for (let i = 0; i < histogram.length; i++) {
total += histogram[i];
sum += histogram[i] * i;
}
if (total === 0) {
return 0;
}
return sum / total;
}
/**
* @memberof Stack
* @instance
* @return {number[]}
*/
function median$1() {
this.checkProcessable('median', {
bitDepth: [8, 16]
});
let histograms = this.getHistograms({
maxSlots: this[0].maxValue + 1
});
let result = new Array(histograms.length);
for (let c = 0; c < histograms.length; c++) {
let histogram = histograms[c];
result[c] = median$2(histogram);
}
return result;
}
/**
* @memberof Stack
* @instance
* @param {object} [options]
* @return {number[]}
*/
function histogram(options) {
this.checkProcessable('min', {
bitDepth: [8, 16]
});
let histogram = this[0].getHistogram(options);
for (let i = 1; i < this.length; i++) {
let secondHistogram = this[i].getHistogram(options);
for (let j = 0; j < histogram.length; j++) {
histogram[j] += secondHistogram[j];
}
}
return histogram;
}
/**
* @memberof Stack
* @instance
* @param {object} [options]
* @return {Array>}
*/
function histograms(options) {
this.checkProcessable('min', {
bitDepth: [8, 16]
});
let histograms = this[0].getHistograms(options);
let histogramLength = histograms[0].length;
for (let i = 1; i < this.length; i++) {
let secondHistograms = this[i].getHistograms(options);
for (let c = 0; c < histograms.length; c++) {
for (let j = 0; j < histogramLength; j++) {
histograms[c][j] += secondHistograms[c][j];
}
}
}
return histograms;
}
/**
* @memberof Stack
* @instance
* @return {Image}
*/
function averageImage() {
this.checkProcessable('averageImage', {
bitDepth: [8, 16]
});
let data = new Uint32Array(this[0].data.length);
for (let i = 0; i < this.length; i++) {
let current = this[i];
for (let j = 0; j < this[0].data.length; j++) {
data[j] += current.data[j];
}
}
let image = Image.createFrom(this[0]);
let newData = image.data;
for (let i = 0; i < this[0].data.length; i++) {
newData[i] = data[i] / this.length;
}
return image;
}
/**
* @memberof Stack
* @instance
* @return {Image}
*/
function maxImage() {
this.checkProcessable('max', {
bitDepth: [8, 16]
});
let image = Image.createFrom(this[0]);
image.data.fill(0);
for (const current of this) {
for (let j = 0; j < image.data.length; j++) {
image.data[j] = Math.max(current.data[j], image.data[j]);
}
}
return image;
}
/**
* @memberof Stack
* @instance
* @return {Image}
*/
function minImage() {
this.checkProcessable('max', {
bitDepth: [8, 16]
});
let image = Image.createFrom(this[0]);
image.data.fill(image.maxValue);
for (const current of this) {
for (let j = 0; j < image.data.length; j++) {
image.data[j] = Math.min(current.data[j], image.data[j]);
}
}
return image;
}
/* eslint-disable import/order */
function extend$2(Stack) {
// let inPlace = {inPlace: true};
Stack.extendMethod('matchAndCrop', matchAndCrop);
Stack.extendMethod('getMin', min$2);
Stack.extendMethod('getMax', max$2);
Stack.extendMethod('getMedian', median$1);
Stack.extendMethod('getHistogram', histogram);
Stack.extendMethod('getHistograms', histograms);
Stack.extendMethod('getAverage', averageImage); // to be removed but will be a breaking change
Stack.extendMethod('getAverageImage', averageImage);
Stack.extendMethod('getMaxImage', maxImage);
Stack.extendMethod('getMinImage', minImage);
}
let computedPropertyDescriptor = {
configurable: true,
enumerable: false,
get: undefined
};
/**
* Class representing stack of images
* @class Stack
*/
class Stack extends Array {
constructor(images) {
if (Array.isArray(images)) {
super(images.length);
for (let i = 0; i < images.length; i++) {
this[i] = images[i];
}
} else if (typeof images === 'number') {
super(images);
} else {
super();
}
this.computed = null;
}
static load(urls) {
return Promise.all(urls.map(Image.load)).then(images => new Stack(images));
}
static extendMethod(name, method) {
let options = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : {};
let {
inPlace = false,
returnThis = true,
partialArgs = []
} = options;
if (inPlace) {
Stack.prototype[name] = function () {
// remove computed properties
this.computed = null;
for (var _len = arguments.length, args = new Array(_len), _key = 0; _key < _len; _key++) {
args[_key] = arguments[_key];
}
let result = method.apply(this, [...partialArgs, ...args]);
if (returnThis) {
return this;
}
return result;
};
} else {
Stack.prototype[name] = function () {
for (var _len2 = arguments.length, args = new Array(_len2), _key2 = 0; _key2 < _len2; _key2++) {
args[_key2] = arguments[_key2];
}
return method.apply(this, [...partialArgs, ...args]);
};
}
return Stack;
}
static extendProperty(name, method) {
let options = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : {};
let {
partialArgs = []
} = options;
computedPropertyDescriptor.get = function () {
if (this.computed === null) {
this.computed = {};
} else if (hasOwn(name, this.computed)) {
return this.computed[name];
}
let result = method.apply(this, partialArgs);
this.computed[name] = result;
return result;
};
Object.defineProperty(Stack.prototype, name, computedPropertyDescriptor);
return Stack;
}
/**
* Check if a process can be applied on the stack
* @param {string} processName
* @param {object} [options]
* @private
*/
checkProcessable(processName) {
let options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
if (typeof processName !== 'string') {
throw new TypeError('checkProcessable requires as first parameter the processName (a string)');
}
if (this.size === 0) {
throw new TypeError(`The process: ${processName} can not be applied on an empty stack`);
}
this[0].checkProcessable(processName, options);
for (let i = 1; i < this.length; i++) {
if ((options.sameSize === undefined || options.sameSize) && this[0].width !== this[i].width) {
throw new TypeError(`The process: ${processName} can not be applied if width is not identical in all images`);
}
if ((options.sameSize === undefined || options.sameSize) && this[0].height !== this[i].height) {
throw new TypeError(`The process: ${processName} can not be applied if height is not identical in all images`);
}
if ((options.sameAlpha === undefined || options.sameAlpha) && this[0].alpha !== this[i].alpha) {
throw new TypeError(`The process: ${processName} can not be applied if alpha is not identical in all images`);
}
if ((options.sameBitDepth === undefined || options.sameBitDepth) && this[0].bitDepth !== this[i].bitDepth) {
throw new TypeError(`The process: ${processName} can not be applied if bitDepth is not identical in all images`);
}
if ((options.sameColorModel === undefined || options.sameColorModel) && this[0].colorModel !== this[i].colorModel) {
throw new TypeError(`The process: ${processName} can not be applied if colorModel is not identical in all images`);
}
if ((options.sameNumberChannels === undefined || options.sameNumberChannels) && this[0].channels !== this[i].channels) {
throw new TypeError(`The process: ${processName} can not be applied if channels is not identical in all images`);
}
}
}
}
if (!Array[Symbol.species]) {
// support old engines
Stack.prototype.map = function (cb, thisArg) {
if (typeof cb !== 'function') {
throw new TypeError(`${cb} is not a function`);
}
let newStack = new Stack(this.length);
for (let i = 0; i < this.length; i++) {
newStack[i] = cb.call(thisArg, this[i], i, this);
}
return newStack;
};
}
extend$2(Stack);
const isDataURL = /^data:[a-z]+\/(?:[a-z]+);base64,/;
/**
* Load an image
* @memberof Image
* @static
* @param {string|ArrayBuffer|Buffer|Uint8Array} image - URL of the image (browser, can be a dataURL) or path (Node.js)
* or buffer containing the binary data
* @param {object} [options] - In the browser, the options object is passed to the underlying `fetch` call, along with
* the data URL. For binary data, the option specify decoding options.
* @param {boolean} [options.ignorePalette] - When set to true and loading a tiff from binary data, if the tiff is of
* type 3 (palette), load as single channel greyscale rather than as a pseudo-colored RGB.
* @return {Promise}
* @example
* const image = await Image.load('https://example.com/image.png');
*/
function load(image, options) {
if (typeof image === 'string') {
return loadURL(image, options);
} else if (image instanceof ArrayBuffer) {
return Promise.resolve(loadBinary(new Uint8Array(image), undefined, options && options.ignorePalette));
} else if (image.buffer) {
return Promise.resolve(loadBinary(image, undefined, options && options.ignorePalette));
} else {
throw new Error('argument to "load" must be a string or buffer.');
}
}
function loadBinary(image, base64Url, ignorePalette) {
const type = imageType$1(image);
if (type) {
switch (type.mime) {
case 'image/png':
return loadPNG(image);
case 'image/jpeg':
return loadJPEG(image);
case 'image/tiff':
return loadTIFF(image, ignorePalette);
default:
return loadGeneric(getBase64(type.mime));
}
}
return loadGeneric(getBase64('application/octet-stream'));
function getBase64(type) {
if (base64Url) {
return base64Url;
} else {
return toBase64URL(image, type);
}
}
}
function loadURL(url, options) {
const dataURL = url.slice(0, 64).match(isDataURL);
let binaryDataP;
if (dataURL !== null) {
binaryDataP = Promise.resolve(decode$3(url.slice(dataURL[0].length)));
} else {
binaryDataP = fetchBinary(url, options);
}
return binaryDataP.then(binaryData => {
const uint8 = new Uint8Array(binaryData);
return loadBinary(uint8, dataURL ? url : undefined, options && options.ignorePalette);
});
}
function loadPNG(data) {
const png = decodePng(data);
let channels = png.channels;
let components;
let alpha = 0;
if (channels === 2 || channels === 4) {
components = channels - 1;
alpha = 1;
} else {
components = channels;
}
if (png.palette) {
return loadPNGFromPalette(png);
}
return new Image(png.width, png.height, png.data, {
components,
alpha,
bitDepth: png.depth
});
}
function loadPNGFromPalette(png) {
const pixels = png.width * png.height;
const channels = png.palette[0].length;
const data = new Uint8Array(pixels * channels);
const pixelsPerByte = 8 / png.depth;
const factor = png.depth < 8 ? pixelsPerByte : 1;
const mask = parseInt('1'.repeat(png.depth), 2);
const hasAlpha = channels === 4;
let dataIndex = 0;
for (let i = 0; i < pixels; i++) {
const index = Math.floor(i / factor);
let value = png.data[index];
if (png.depth < 8) {
value = value >>> png.depth * (pixelsPerByte - 1 - i % pixelsPerByte) & mask;
}
const paletteValue = png.palette[value];
data[dataIndex++] = paletteValue[0];
data[dataIndex++] = paletteValue[1];
data[dataIndex++] = paletteValue[2];
if (hasAlpha) {
data[dataIndex++] = paletteValue[3];
}
}
return new Image(png.width, png.height, data, {
components: 3,
alpha: hasAlpha,
bitDepth: 8
});
}
function loadJPEG(data) {
const decodedExif = decode(data);
let meta;
if (decodedExif.exif) {
meta = getMetadata(decodedExif.exif);
}
const jpeg = jpegJs.decode(data, {
useTArray: true,
maxMemoryUsageInMB: 1024
});
let image = new Image(jpeg.width, jpeg.height, jpeg.data, {
meta
});
if (meta && meta.tiff.tags.Orientation) {
const orientation = meta.tiff.tags.Orientation;
if (orientation > 2) {
image = image.rotate({
3: 180,
4: 180,
5: 90,
6: 90,
7: 270,
8: 270
}[orientation]);
}
if ([2, 4, 5, 7].includes(orientation)) {
image = image.flipX();
}
}
return image;
}
function loadTIFF(data, ignorePalette) {
let result = decodeTIFF(data);
if (result.length === 1) {
return getImageFromIFD(result[0], ignorePalette);
} else {
return new Stack(result.map(function (image) {
return getImageFromIFD(image, ignorePalette);
}));
}
}
function getMetadata(image) {
const metadata = {
tiff: {
fields: image.fields,
tags: image.map
}
};
if (image.exif) {
metadata.exif = image.exif;
}
if (image.gps) {
metadata.gps = image.gps;
}
return metadata;
}
function getImageFromIFD(image, ignorePalette) {
if (!ignorePalette && image.type === 3) {
// Palette
const data = new Uint16Array(3 * image.width * image.height);
const palette = image.palette;
let ptr = 0;
for (let i = 0; i < image.data.length; i++) {
const index = image.data[i];
const color = palette[index];
data[ptr++] = color[0];
data[ptr++] = color[1];
data[ptr++] = color[2];
}
return new Image(image.width, image.height, data, {
components: 3,
alpha: image.alpha,
colorModel: RGB$1,
bitDepth: 16,
meta: getMetadata(image)
});
} else {
return new Image(image.width, image.height, image.data, {
components: image.type === 2 ? 3 : 1,
alpha: image.alpha,
colorModel: image.type === 2 ? RGB$1 : GREY$1,
bitDepth: image.bitsPerSample.length ? image.bitsPerSample[0] : image.bitsPerSample,
meta: getMetadata(image)
});
}
}
function loadGeneric(url, options) {
options = options || {};
return new Promise(function (resolve, reject) {
let image = new DOMImage();
image.onload = function () {
let w = image.width;
let h = image.height;
let canvas = createCanvas(w, h);
let ctx = canvas.getContext('2d');
ctx.drawImage(image, 0, 0, w, h);
let data = ctx.getImageData(0, 0, w, h).data;
resolve(new Image(w, h, data, options));
};
image.onerror = function () {
reject(new Error(`Could not load ${url}`));
};
image.src = url;
});
}
const valueMethods = {
/**
* Get the value of specific pixel channel
* @memberof Image
* @instance
* @param {number} x - x coordinate (0 = left)
* @param {number} y - y coordinate (0 = top)
* @param {number} channel
* @return {number} - the value of this pixel channel
*/
getValueXY(x, y, channel) {
return this.data[(y * this.width + x) * this.channels + channel];
},
/**
* Set the value of specific pixel channel
* @memberof Image
* @instance
* @param {number} x - x coordinate (0 = left)
* @param {number} y - y coordinate (0 = top)
* @param {number} channel
* @param {number} value - the new value of this pixel channel
* @return {this}
*/
setValueXY(x, y, channel, value) {
this.data[(y * this.width + x) * this.channels + channel] = value;
this.computed = null;
return this;
},
/**
* Get the value of specific pixel channel
* @memberof Image
* @instance
* @param {number} index - 1D index of the pixel
* @param {number} channel
* @return {number} - the value of this pixel channel
*/
getValue(index, channel) {
return this.data[index * this.channels + channel];
},
/**
* Set the value of specific pixel channel
* @memberof Image
* @instance
* @param {number} index - 1D index of the pixel
* @param {number} channel
* @param {number} value - the new value of this pixel channel
* @return {this}
*/
setValue(index, channel, value) {
this.data[index * this.channels + channel] = value;
this.computed = null;
return this;
},
/**
* Get the value of an entire pixel
* @memberof Image
* @instance
* @param {number} x - x coordinate (0 = left)
* @param {number} y - y coordinate (0 = top)
* @return {number[]} the value of this pixel
*/
getPixelXY(x, y) {
return this.getPixel(y * this.width + x);
},
/**
* Set the value of an entire pixel
* @memberof Image
* @instance
* @param {number} x - x coordinate (0 = left)
* @param {number} y - y coordinate (0 = top)
* @param {number[]} value - the new value of this pixel
* @return {this}
*/
setPixelXY(x, y, value) {
return this.setPixel(y * this.width + x, value);
},
/**
* Get the value of an entire pixel
* @memberof Image
* @instance
* @param {number} index - 1D index of the pixel
* @return {number[]} the value of this pixel
*/
getPixel(index) {
const value = new Array(this.channels);
const target = index * this.channels;
for (let i = 0; i < this.channels; i++) {
value[i] = this.data[target + i];
}
return value;
},
/**
* Set the value of an entire pixel
* @memberof Image
* @instance
* @param {number} index - 1D index of the pixel
* @param {number[]} value - the new value of this pixel
* @return {this}
*/
setPixel(index, value) {
const target = index * this.channels;
for (let i = 0; i < value.length; i++) {
this.data[target + i] = value[i];
}
this.computed = null;
return this;
}
};
function setValueMethods(Image) {
for (const i in valueMethods) {
Image.prototype[i] = valueMethods[i];
}
}
function getImageParameters(image) {
return {
width: image.width,
height: image.height,
components: image.components,
alpha: image.alpha,
colorModel: image.colorModel,
bitDepth: image.bitDepth
};
}
/**
* Use this function to support getting the output image of an algorithm from user-supplied
* options.
* @private
* @param {Image} thisImage - Original image on which the algorithm will be applied
* @param {object} options - Options object received by the algorithm
* @param {Image} [options.out] - If set, must be an image compatible with the algorithm
* @param {object} newParameters - Parameters that will be combined with the ones from `thisImage`.
* @param {object} internalOptions - Some additional options on the way to create the output image
* @return {Image}
*/
function getOutputImage(thisImage, options, newParameters) {
let internalOptions = arguments.length > 3 && arguments[3] !== undefined ? arguments[3] : {};
const {
out
} = options;
if (out === undefined) {
if (internalOptions.copy) {
return thisImage.clone();
} else {
return Image.createFrom(thisImage, newParameters);
}
} else {
if (!Image.isImage(out)) {
throw new TypeError('out must be an Image object');
}
const requirements = Object.assign(getImageParameters(thisImage), newParameters);
for (const property in requirements) {
if (out[property] !== requirements[property]) {
throw new RangeError(`cannot use out. Its ${property} must be "${requirements[property]}" (found "${out[property]}")`);
}
}
return out;
}
}
/**
* Same as getOutputImage but allows for an `inPlace` option.
* @private
* @param {Image} thisImage
* @param {object} options
* @param {boolean} [options.inPlace=false] - If true, thisImage is returned
* @param {Image} [options.out]
* @param {object} internalOptions - Additional internal options on how to create the output image
* @param {boolean} [interalOptions.copy] - If true will copy the original image instead of creating a new empty image
* @return {Image}
*/
function getOutputImageOrInPlace(thisImage, options, internalOptions) {
if (options.inPlace !== undefined && typeof options.inPlace !== 'boolean') {
throw new TypeError('inPlace option must be a boolean');
}
if (options.inPlace) {
if (options.out !== undefined) {
throw new TypeError('out option must not be set if inPlace option is true');
}
return thisImage;
}
return getOutputImage(thisImage, options, null, internalOptions);
}
/**
* Calculate the absolute values of an image.
* Only works on 32-bit images.
* @memberof Image
* @instance
* @param {object} [options]
* @param {boolean} [options.inPlace=false]
* @param {Image} [options.out]
* @return {Image}
*/
function abs() {
let options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};
this.checkProcessable('abs', {
bitDepth: [32]
});
const out = getOutputImageOrInPlace(this, options);
absolute(this, out);
return out;
}
function absolute(image, out) {
for (let i = 0; i < image.data.length; i++) {
out.data[i] = Math.abs(image.data[i]);
}
}
/**
* Copies the alpha channel from an image to another. no-op if one of the images has no alpha
* @private
* @param {Image} from
* @param {Image} to
*/
function copyAlphaChannel(from, to) {
if (from.alpha === 1 && to.alpha === 1) {
for (let i = 0; i < from.size; i++) {
to.data[i * to.channels + to.components] = from.data[i * from.channels + from.components];
}
}
}
/**
* Invert the colors of an image
* @memberof Image
* @instance
* @param {object} [options]
* @param {boolean} [options.inPlace=false]
* @param {Image} [options.out]
* @return {Image}
*/
function invert() {
let options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};
this.checkProcessable('invert', {
bitDepth: [1, 8, 16]
});
const out = getOutputImageOrInPlace(this, options);
if (this.bitDepth === 1) {
invertBinary(this, out);
} else {
invertColor(this, out);
if (this !== out) {
copyAlphaChannel(this, out);
}
}
return out;
}
function invertBinary(image, out) {
for (let i = 0; i < image.data.length; i++) {
out.data[i] = ~image.data[i];
}
}
function invertColor(image, out) {
for (let pixel = 0; pixel < image.data.length; pixel += image.channels) {
for (let c = 0; c < image.components; c++) {
out.data[pixel + c] = image.maxValue - image.data[pixel + c];
}
}
}
/**
* Flip an image horizontally.
* @memberof Image
* @instance
* @return {this}
*/
function flipX() {
this.checkProcessable('flipX', {
bitDepth: [8, 16]
});
for (let i = 0; i < this.height; i++) {
let offsetY = i * this.width * this.channels;
for (let j = 0; j < Math.floor(this.width / 2); j++) {
let posCurrent = j * this.channels + offsetY;
let posOpposite = (this.width - j - 1) * this.channels + offsetY;
for (let k = 0; k < this.channels; k++) {
let tmp = this.data[posCurrent + k];
this.data[posCurrent + k] = this.data[posOpposite + k];
this.data[posOpposite + k] = tmp;
}
}
}
return this;
}
/**
* Flip an image vertically. The image
* @memberof Image
* @instance
* @return {this}
*/
function flipY() {
this.checkProcessable('flipY', {
bitDepth: [8, 16]
});
for (let i = 0; i < Math.floor(this.height / 2); i++) {
for (let j = 0; j < this.width; j++) {
let posCurrent = j * this.channels + i * this.width * this.channels;
let posOpposite = j * this.channels + (this.height - 1 - i) * this.channels * this.width;
for (let k = 0; k < this.channels; k++) {
let tmp = this.data[posCurrent + k];
this.data[posCurrent + k] = this.data[posOpposite + k];
this.data[posOpposite + k] = tmp;
}
}
}
return this;
}
/**
* Blurs the image by averaging the neighboring pixels.
* @memberof Image
* @instance
* @param {object} [options]
* @param {number} [options.radius=1] - Number of pixels around the current pixel to average
* @return {Image}
*/
function blurFilter() {
let options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};
const {
radius = 1
} = options;
if (radius < 1) {
throw new Error('radius must be greater than 1');
}
const n = 2 * radius + 1;
const kernel = new Array(n);
for (let i = 0; i < n; i++) {
kernel[i] = new Array(n);
for (let j = 0; j < n; j++) {
kernel[i][j] = 1 / (n * n);
}
}
return this.convolution(kernel);
}
var medianQuickselect_min = {exports: {}};
(function (module) {
(function () {
function a(d) {
for (var e = 0, f = d.length - 1, g = void 0, h = void 0, i = void 0, j = c(e, f); !0;) {
if (f <= e) return d[j];
if (f == e + 1) return d[e] > d[f] && b(d, e, f), d[j];
for (g = c(e, f), d[g] > d[f] && b(d, g, f), d[e] > d[f] && b(d, e, f), d[g] > d[e] && b(d, g, e), b(d, g, e + 1), h = e + 1, i = f; !0;) {
do h++; while (d[e] > d[h]);
do i--; while (d[i] > d[e]);
if (i < h) break;
b(d, h, i);
}
b(d, e, i), i <= j && (e = h), i >= j && (f = i - 1);
}
}
var b = function b(d, e, f) {
var _ref;
return _ref = [d[f], d[e]], d[e] = _ref[0], d[f] = _ref[1], _ref;
},
c = function c(d, e) {
return ~~((d + e) / 2);
};
module.exports ? module.exports = a : window.median = a;
})();
})(medianQuickselect_min);
var quickSelectMedian = medianQuickselect_min.exports;
/**
* Specify which channels should be processed
* * undefined : we take all the channels but alpha
* * number : this specific channel
* * string : converted to a channel based on rgb, cmyk, hsl or hsv (one letter code)
* * [number] : array of channels as numbers
* * [string] : array of channels as one letter string
* @typedef {undefined|number|string|Array|Array} SelectedChannels
*/
function validateArrayOfChannels(image) {
let options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
let {
channels,
allowAlpha,
// are we allowing the selection of an alpha channel ?
defaultAlpha // if no channels are selected should we take the alpha channel ?
} = options;
if (typeof allowAlpha !== 'boolean') {
allowAlpha = true;
}
if (typeof channels === 'undefined') {
return allChannels(image, defaultAlpha);
} else {
return validateChannels(image, channels, allowAlpha);
}
}
function allChannels(image, defaultAlpha) {
let length = defaultAlpha ? image.channels : image.components;
let array = new Array(length);
for (let i = 0; i < length; i++) {
array[i] = i;
}
return array;
}
function validateChannels(image, channels, allowAlpha) {
if (!Array.isArray(channels)) {
channels = [channels];
}
for (let c = 0; c < channels.length; c++) {
channels[c] = validateChannel(image, channels[c], allowAlpha);
}
return channels;
}
function validateChannel(image, channel) {
let allowAlpha = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : true;
if (channel === undefined) {
throw new RangeError(`validateChannel : the channel has to be >=0 and <${image.channels}`);
}
if (typeof channel === 'string') {
switch (image.colorModel) {
case GREY$1:
break;
case RGB$1:
if ('rgb'.includes(channel)) {
switch (channel) {
case 'r':
channel = 0;
break;
case 'g':
channel = 1;
break;
case 'b':
channel = 2;
break;
// no default
}
}
break;
case HSL:
if ('hsl'.includes(channel)) {
switch (channel) {
case 'h':
channel = 0;
break;
case 's':
channel = 1;
break;
case 'l':
channel = 2;
break;
// no default
}
}
break;
case HSV:
if ('hsv'.includes(channel)) {
switch (channel) {
case 'h':
channel = 0;
break;
case 's':
channel = 1;
break;
case 'v':
channel = 2;
break;
// no default
}
}
break;
case CMYK$1:
if ('cmyk'.includes(channel)) {
switch (channel) {
case 'c':
channel = 0;
break;
case 'm':
channel = 1;
break;
case 'y':
channel = 2;
break;
case 'k':
channel = 3;
break;
// no default
}
}
break;
default:
throw new Error(`Unexpected color model: ${image.colorModel}`);
}
if (channel === 'a') {
if (!image.alpha) {
throw new Error('validateChannel : the image does not contain alpha channel');
}
channel = image.components;
}
if (typeof channel === 'string') {
throw new Error(`validateChannel : undefined channel: ${channel}`);
}
}
if (channel >= image.channels) {
throw new RangeError(`validateChannel : the channel has to be >=0 and <${image.channels}`);
}
if (!allowAlpha && channel >= image.components) {
throw new RangeError('validateChannel : alpha channel may not be selected');
}
return channel;
}
/**
* Each pixel of the image becomes the median of the neighbor pixels.
* @memberof Image
* @instance
* @param {object} options
* @param {SelectedChannels} [options.channels] - Specify which channels should be processed.
* @param {number} [options.radius=1] - Distance of the square to take the mean of.
* @param {string} [options.border='copy'] - Algorithm that will be applied after to deal with borders.
* @return {Image}
*/
function medianFilter() {
let options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};
let {
radius = 1,
border = 'copy',
channels
} = options;
this.checkProcessable('medianFilter', {
bitDepth: [8, 16]
});
if (radius < 1) {
throw new Error('radius must be greater than 0');
}
channels = validateArrayOfChannels(this, channels, true);
let kWidth = radius;
let kHeight = radius;
let newImage = Image.createFrom(this);
let size = (kWidth * 2 + 1) * (kHeight * 2 + 1);
let kernel = new Array(size);
for (let channel = 0; channel < channels.length; channel++) {
let c = channels[channel];
for (let y = kHeight; y < this.height - kHeight; y++) {
for (let x = kWidth; x < this.width - kWidth; x++) {
let n = 0;
for (let j = -kHeight; j <= kHeight; j++) {
for (let i = -kWidth; i <= kWidth; i++) {
let index = ((y + j) * this.width + x + i) * this.channels + c;
kernel[n++] = this.data[index];
}
}
let index = (y * this.width + x) * this.channels + c;
newImage.data[index] = quickSelectMedian(kernel);
}
}
}
if (this.alpha && !channels.includes(this.channels)) {
for (let i = this.components; i < this.data.length; i = i + this.channels) {
newImage.data[i] = this.data[i];
}
}
newImage.setBorder({
size: [kWidth, kHeight],
algorithm: border
});
return newImage;
}
/**
* Apply a gaussian filter to the image.
* @memberof Image
* @instance
* @param {object} options
* @param {number} [options.radius=1] - Number of pixels around the current pixel.
* @param {number} [options.sigma] - Sigma parameter for the gaussian.
* @param {number[]|string[]} [options.channels] - To which channel to apply the filter.
* @param {string} [options.border='copy']
* @return {Image}
*/
function gaussianFilter() {
let options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};
let {
radius = 1,
sigma,
channels,
border = 'copy'
} = options;
this.checkProcessable('gaussian', {
bitDepth: [8, 16]
});
const kernel = getKernel(radius, sigma);
return this.convolution([kernel, kernel], {
border,
channels,
algorithm: 'separable'
});
}
function getKernel(radius, sigma) {
const n = radius * 2 + 1;
const kernel = new Array(n);
const sigmaX = sigma ? sigma : ((n - 1) * 0.5 - 1) * 0.3 + 0.8;
const scale2X = -0.5 / (sigmaX * sigmaX);
let sum = 0;
for (let i = 0; i < n; i++) {
const x = i - radius;
const t = Math.exp(scale2X * x * x);
kernel[i] = t;
sum += t;
}
for (let i = 0; i < n; i++) {
kernel[i] /= sum;
}
return kernel;
}
const DISCRETE_LAPLACE_4 = [[0, 1, 0], [1, -4, 1], [0, 1, 0]];
const DISCRETE_LAPLACE_8 = [[1, 1, 1], [1, -8, 1], [1, 1, 1]];
const SOBEL_X = [[-1, 0, +1], [-2, 0, +2], [-1, 0, +1]];
const SOBEL_Y = [[-1, -2, -1], [0, 0, 0], [+1, +2, +1]];
const SCHARR_X = [[3, 0, -3], [10, 0, -10], [3, 0, -3]];
const SCHARR_Y = [[3, 10, 3], [0, 0, 0], [-3, -10, -3]];
const SECOND_DERIVATIVE = [[-1, -2, 0, 2, 1], [-2, -4, 0, 4, 2], [0, 0, 0, 0, 0], [1, 2, 0, -2, -1], [2, 4, 0, -4, -2]];
const SECOND_DERIVATIVE_INV = [[1, 2, 0, -2, -1], [2, 4, 0, -4, -2], [0, 0, 0, 0, 0], [-2, -4, 0, 4, 2], [-1, -2, 0, 2, 1]];
var src$3 = {};
var fftlib = {};
/**
* Fast Fourier Transform module
* 1D-FFT/IFFT, 2D-FFT/IFFT (radix-2)
*/
(function (exports) {
(function () {
var FFT;
{
FFT = exports; // for CommonJS
}
var version = {
release: '0.3.0',
date: '2013-03'
};
FFT.toString = function () {
return "version " + version.release + ", released " + version.date;
}; // core operations
var _n = 0,
// order
_bitrev = null,
// bit reversal table
_cstb = null; // sin/cos table
var core = {
init: function (n) {
if (n !== 0 && (n & n - 1) === 0) {
_n = n;
core._initArray();
core._makeBitReversalTable();
core._makeCosSinTable();
} else {
throw new Error("init: radix-2 required");
}
},
// 1D-FFT
fft1d: function (re, im) {
core.fft(re, im, 1);
},
// 1D-IFFT
ifft1d: function (re, im) {
var n = 1 / _n;
core.fft(re, im, -1);
for (var i = 0; i < _n; i++) {
re[i] *= n;
im[i] *= n;
}
},
// 1D-IFFT
bt1d: function (re, im) {
core.fft(re, im, -1);
},
// 2D-FFT Not very useful if the number of rows have to be equal to cols
fft2d: function (re, im) {
var tre = [],
tim = [],
i = 0; // x-axis
for (var y = 0; y < _n; y++) {
i = y * _n;
for (var x1 = 0; x1 < _n; x1++) {
tre[x1] = re[x1 + i];
tim[x1] = im[x1 + i];
}
core.fft1d(tre, tim);
for (var x2 = 0; x2 < _n; x2++) {
re[x2 + i] = tre[x2];
im[x2 + i] = tim[x2];
}
} // y-axis
for (var x = 0; x < _n; x++) {
for (var y1 = 0; y1 < _n; y1++) {
i = x + y1 * _n;
tre[y1] = re[i];
tim[y1] = im[i];
}
core.fft1d(tre, tim);
for (var y2 = 0; y2 < _n; y2++) {
i = x + y2 * _n;
re[i] = tre[y2];
im[i] = tim[y2];
}
}
},
// 2D-IFFT
ifft2d: function (re, im) {
var tre = [],
tim = [],
i = 0; // x-axis
for (var y = 0; y < _n; y++) {
i = y * _n;
for (var x1 = 0; x1 < _n; x1++) {
tre[x1] = re[x1 + i];
tim[x1] = im[x1 + i];
}
core.ifft1d(tre, tim);
for (var x2 = 0; x2 < _n; x2++) {
re[x2 + i] = tre[x2];
im[x2 + i] = tim[x2];
}
} // y-axis
for (var x = 0; x < _n; x++) {
for (var y1 = 0; y1 < _n; y1++) {
i = x + y1 * _n;
tre[y1] = re[i];
tim[y1] = im[i];
}
core.ifft1d(tre, tim);
for (var y2 = 0; y2 < _n; y2++) {
i = x + y2 * _n;
re[i] = tre[y2];
im[i] = tim[y2];
}
}
},
// core operation of FFT
fft: function (re, im, inv) {
var d,
h,
ik,
m,
tmp,
wr,
wi,
xr,
xi,
n4 = _n >> 2; // bit reversal
for (var l = 0; l < _n; l++) {
m = _bitrev[l];
if (l < m) {
tmp = re[l];
re[l] = re[m];
re[m] = tmp;
tmp = im[l];
im[l] = im[m];
im[m] = tmp;
}
} // butterfly operation
for (var k = 1; k < _n; k <<= 1) {
h = 0;
d = _n / (k << 1);
for (var j = 0; j < k; j++) {
wr = _cstb[h + n4];
wi = inv * _cstb[h];
for (var i = j; i < _n; i += k << 1) {
ik = i + k;
xr = wr * re[ik] + wi * im[ik];
xi = wr * im[ik] - wi * re[ik];
re[ik] = re[i] - xr;
re[i] += xr;
im[ik] = im[i] - xi;
im[i] += xi;
}
h += d;
}
}
},
// initialize the array (supports TypedArray)
_initArray: function () {
if (typeof Uint32Array !== 'undefined') {
_bitrev = new Uint32Array(_n);
} else {
_bitrev = [];
}
if (typeof Float64Array !== 'undefined') {
_cstb = new Float64Array(_n * 1.25);
} else {
_cstb = [];
}
},
// zero padding
_paddingZero: function () {// TODO
},
// makes bit reversal table
_makeBitReversalTable: function () {
var i = 0,
j = 0,
k = 0;
_bitrev[0] = 0;
while (++i < _n) {
k = _n >> 1;
while (k <= j) {
j -= k;
k >>= 1;
}
j += k;
_bitrev[i] = j;
}
},
// makes trigonometiric function table
_makeCosSinTable: function () {
var n2 = _n >> 1,
n4 = _n >> 2,
n8 = _n >> 3,
n2p4 = n2 + n4,
t = Math.sin(Math.PI / _n),
dc = 2 * t * t,
ds = Math.sqrt(dc * (2 - dc)),
c = _cstb[n4] = 1,
s = _cstb[0] = 0;
t = 2 * dc;
for (var i = 1; i < n8; i++) {
c -= dc;
dc += t * c;
s += ds;
ds -= t * s;
_cstb[i] = s;
_cstb[n4 - i] = c;
}
if (n8 !== 0) {
_cstb[n8] = Math.sqrt(0.5);
}
for (var j = 0; j < n4; j++) {
_cstb[n2 - j] = _cstb[j];
}
for (var k = 0; k < n2p4; k++) {
_cstb[k + n2] = -_cstb[k];
}
}
}; // aliases (public APIs)
var apis = ['init', 'fft1d', 'ifft1d', 'fft2d', 'ifft2d'];
for (var i = 0; i < apis.length; i++) {
FFT[apis[i]] = core[apis[i]];
}
FFT.bt = core.bt1d;
FFT.fft = core.fft1d;
FFT.ifft = core.ifft1d;
return FFT;
}).call(commonjsGlobal);
})(fftlib);
var FFT = fftlib;
var FFTUtils$1 = {
DEBUG: false,
/**
* Calculates the inverse of a 2D Fourier transform
*
* @param ft
* @param ftRows
* @param ftCols
* @return
*/
ifft2DArray: function (ft, ftRows, ftCols) {
var tempTransform = new Array(ftRows * ftCols);
var nRows = ftRows / 2;
var nCols = (ftCols - 1) * 2; // reverse transform columns
FFT.init(nRows);
var tmpCols = {
re: new Array(nRows),
im: new Array(nRows)
};
for (var iCol = 0; iCol < ftCols; iCol++) {
for (var iRow = nRows - 1; iRow >= 0; iRow--) {
tmpCols.re[iRow] = ft[iRow * 2 * ftCols + iCol];
tmpCols.im[iRow] = ft[(iRow * 2 + 1) * ftCols + iCol];
} //Unnormalized inverse transform
FFT.bt(tmpCols.re, tmpCols.im);
for (var iRow = nRows - 1; iRow >= 0; iRow--) {
tempTransform[iRow * 2 * ftCols + iCol] = tmpCols.re[iRow];
tempTransform[(iRow * 2 + 1) * ftCols + iCol] = tmpCols.im[iRow];
}
} // reverse row transform
var finalTransform = new Array(nRows * nCols);
FFT.init(nCols);
var tmpRows = {
re: new Array(nCols),
im: new Array(nCols)
};
var scale = nCols * nRows;
for (var iRow = 0; iRow < ftRows; iRow += 2) {
tmpRows.re[0] = tempTransform[iRow * ftCols];
tmpRows.im[0] = tempTransform[(iRow + 1) * ftCols];
for (var iCol = 1; iCol < ftCols; iCol++) {
tmpRows.re[iCol] = tempTransform[iRow * ftCols + iCol];
tmpRows.im[iCol] = tempTransform[(iRow + 1) * ftCols + iCol];
tmpRows.re[nCols - iCol] = tempTransform[iRow * ftCols + iCol];
tmpRows.im[nCols - iCol] = -tempTransform[(iRow + 1) * ftCols + iCol];
} //Unnormalized inverse transform
FFT.bt(tmpRows.re, tmpRows.im);
var indexB = iRow / 2 * nCols;
for (var iCol = nCols - 1; iCol >= 0; iCol--) {
finalTransform[indexB + iCol] = tmpRows.re[iCol] / scale;
}
}
return finalTransform;
},
/**
* Calculates the fourier transform of a matrix of size (nRows,nCols) It is
* assumed that both nRows and nCols are a power of two
*
* On exit the matrix has dimensions (nRows * 2, nCols / 2 + 1) where the
* even rows contain the real part and the odd rows the imaginary part of the
* transform
* @param data
* @param nRows
* @param nCols
* @return
*/
fft2DArray: function (data, nRows, nCols, opt) {
Object.assign({}, {
inplace: true
});
var ftCols = nCols / 2 + 1;
var ftRows = nRows * 2;
var tempTransform = new Array(ftRows * ftCols);
FFT.init(nCols); // transform rows
var tmpRows = {
re: new Array(nCols),
im: new Array(nCols)
};
var row1 = {
re: new Array(nCols),
im: new Array(nCols)
};
var row2 = {
re: new Array(nCols),
im: new Array(nCols)
};
var index, iRow0, iRow1, iRow2, iRow3;
for (var iRow = 0; iRow < nRows / 2; iRow++) {
index = iRow * 2 * nCols;
tmpRows.re = data.slice(index, index + nCols);
index = (iRow * 2 + 1) * nCols;
tmpRows.im = data.slice(index, index + nCols);
FFT.fft1d(tmpRows.re, tmpRows.im);
this.reconstructTwoRealFFT(tmpRows, row1, row2); //Now lets put back the result into the output array
iRow0 = iRow * 4 * ftCols;
iRow1 = (iRow * 4 + 1) * ftCols;
iRow2 = (iRow * 4 + 2) * ftCols;
iRow3 = (iRow * 4 + 3) * ftCols;
for (var k = ftCols - 1; k >= 0; k--) {
tempTransform[iRow0 + k] = row1.re[k];
tempTransform[iRow1 + k] = row1.im[k];
tempTransform[iRow2 + k] = row2.re[k];
tempTransform[iRow3 + k] = row2.im[k];
}
} //console.log(tempTransform);
row1 = null;
row2 = null; // transform columns
var finalTransform = new Array(ftRows * ftCols);
FFT.init(nRows);
var tmpCols = {
re: new Array(nRows),
im: new Array(nRows)
};
for (var iCol = ftCols - 1; iCol >= 0; iCol--) {
for (var iRow = nRows - 1; iRow >= 0; iRow--) {
tmpCols.re[iRow] = tempTransform[iRow * 2 * ftCols + iCol];
tmpCols.im[iRow] = tempTransform[(iRow * 2 + 1) * ftCols + iCol]; //TODO Chech why this happens
if (isNaN(tmpCols.re[iRow])) {
tmpCols.re[iRow] = 0;
}
if (isNaN(tmpCols.im[iRow])) {
tmpCols.im[iRow] = 0;
}
}
FFT.fft1d(tmpCols.re, tmpCols.im);
for (var iRow = nRows - 1; iRow >= 0; iRow--) {
finalTransform[iRow * 2 * ftCols + iCol] = tmpCols.re[iRow];
finalTransform[(iRow * 2 + 1) * ftCols + iCol] = tmpCols.im[iRow];
}
} //console.log(finalTransform);
return finalTransform;
},
/**
*
* @param fourierTransform
* @param realTransform1
* @param realTransform2
*
* Reconstructs the individual Fourier transforms of two simultaneously
* transformed series. Based on the Symmetry relationships (the asterisk
* denotes the complex conjugate)
*
* F_{N-n} = F_n^{*} for a purely real f transformed to F
*
* G_{N-n} = G_n^{*} for a purely imaginary g transformed to G
*
*/
reconstructTwoRealFFT: function (fourierTransform, realTransform1, realTransform2) {
var length = fourierTransform.re.length; // the components n=0 are trivial
realTransform1.re[0] = fourierTransform.re[0];
realTransform1.im[0] = 0.0;
realTransform2.re[0] = fourierTransform.im[0];
realTransform2.im[0] = 0.0;
var rm, rp, im, ip, j;
for (var i = length / 2; i > 0; i--) {
j = length - i;
rm = 0.5 * (fourierTransform.re[i] - fourierTransform.re[j]);
rp = 0.5 * (fourierTransform.re[i] + fourierTransform.re[j]);
im = 0.5 * (fourierTransform.im[i] - fourierTransform.im[j]);
ip = 0.5 * (fourierTransform.im[i] + fourierTransform.im[j]);
realTransform1.re[i] = rp;
realTransform1.im[i] = im;
realTransform1.re[j] = rp;
realTransform1.im[j] = -im;
realTransform2.re[i] = ip;
realTransform2.im[i] = -rm;
realTransform2.re[j] = ip;
realTransform2.im[j] = rm;
}
},
/**
* In place version of convolute 2D
*
* @param ftSignal
* @param ftFilter
* @param ftRows
* @param ftCols
* @return
*/
convolute2DI: function (ftSignal, ftFilter, ftRows, ftCols) {
var re, im;
for (var iRow = 0; iRow < ftRows / 2; iRow++) {
for (var iCol = 0; iCol < ftCols; iCol++) {
//
re = ftSignal[iRow * 2 * ftCols + iCol] * ftFilter[iRow * 2 * ftCols + iCol] - ftSignal[(iRow * 2 + 1) * ftCols + iCol] * ftFilter[(iRow * 2 + 1) * ftCols + iCol];
im = ftSignal[iRow * 2 * ftCols + iCol] * ftFilter[(iRow * 2 + 1) * ftCols + iCol] + ftSignal[(iRow * 2 + 1) * ftCols + iCol] * ftFilter[iRow * 2 * ftCols + iCol]; //
ftSignal[iRow * 2 * ftCols + iCol] = re;
ftSignal[(iRow * 2 + 1) * ftCols + iCol] = im;
}
}
},
/**
*
* @param data
* @param kernel
* @param nRows
* @param nCols
* @returns {*}
*/
convolute: function (data, kernel, nRows, nCols, opt) {
var ftSpectrum = new Array(nCols * nRows);
for (var i = 0; i < nRows * nCols; i++) {
ftSpectrum[i] = data[i];
}
ftSpectrum = this.fft2DArray(ftSpectrum, nRows, nCols);
var dimR = kernel.length;
var dimC = kernel[0].length;
var ftFilterData = new Array(nCols * nRows);
for (var i = 0; i < nCols * nRows; i++) {
ftFilterData[i] = 0;
}
var iRow, iCol;
var shiftR = Math.floor((dimR - 1) / 2);
var shiftC = Math.floor((dimC - 1) / 2);
for (var ir = 0; ir < dimR; ir++) {
iRow = (ir - shiftR + nRows) % nRows;
for (var ic = 0; ic < dimC; ic++) {
iCol = (ic - shiftC + nCols) % nCols;
ftFilterData[iRow * nCols + iCol] = kernel[ir][ic];
}
}
ftFilterData = this.fft2DArray(ftFilterData, nRows, nCols);
var ftRows = nRows * 2;
var ftCols = nCols / 2 + 1;
this.convolute2DI(ftSpectrum, ftFilterData, ftRows, ftCols);
return this.ifft2DArray(ftSpectrum, ftRows, ftCols);
},
toRadix2: function (data, nRows, nCols) {
var i, j, irow, icol;
var cols = nCols,
rows = nRows;
if (!(nCols !== 0 && (nCols & nCols - 1) === 0)) {
//Then we have to make a pading to next radix2
cols = 0;
while (nCols >> ++cols != 0);
cols = 1 << cols;
}
if (!(nRows !== 0 && (nRows & nRows - 1) === 0)) {
//Then we have to make a pading to next radix2
rows = 0;
while (nRows >> ++rows != 0);
rows = 1 << rows;
}
if (rows == nRows && cols == nCols) //Do nothing. Returns the same input!!! Be careful
return {
data: data,
rows: nRows,
cols: nCols
};
var output = new Array(rows * cols);
var shiftR = Math.floor((rows - nRows) / 2) - nRows;
var shiftC = Math.floor((cols - nCols) / 2) - nCols;
for (i = 0; i < rows; i++) {
irow = i * cols;
icol = (i - shiftR) % nRows * nCols;
for (j = 0; j < cols; j++) {
output[irow + j] = data[icol + (j - shiftC) % nCols];
}
}
return {
data: output,
rows: rows,
cols: cols
};
},
/**
* Crop the given matrix to fit the corresponding number of rows and columns
*/
crop: function (data, rows, cols, nRows, nCols, opt) {
if (rows == nRows && cols == nCols) //Do nothing. Returns the same input!!! Be careful
return data;
Object.assign({}, opt);
var output = new Array(nCols * nRows);
var shiftR = Math.floor((rows - nRows) / 2);
var shiftC = Math.floor((cols - nCols) / 2);
var destinyRow, sourceRow, i, j;
for (i = 0; i < nRows; i++) {
destinyRow = i * nCols;
sourceRow = (i + shiftR) * cols;
for (j = 0; j < nCols; j++) {
output[destinyRow + j] = data[sourceRow + (j + shiftC)];
}
}
return output;
}
};
var FFTUtils_1 = FFTUtils$1;
src$3.FFTUtils = FFTUtils_1;
src$3.FFT = fftlib;
/**
* Created by acastillo on 7/7/16.
*/
var FFTUtils = src$3.FFTUtils;
function convolutionFFT(input, kernel, opt) {
var tmp = matrix2Array(input);
var inputData = tmp.data;
var options = Object.assign({
normalize: false,
divisor: 1,
rows: tmp.rows,
cols: tmp.cols
}, opt);
var nRows, nCols;
if (options.rows && options.cols) {
nRows = options.rows;
nCols = options.cols;
} else {
throw new Error("Invalid number of rows or columns " + nRows + " " + nCols);
}
var divisor = options.divisor;
var i, j;
var kHeight = kernel.length;
var kWidth = kernel[0].length;
if (options.normalize) {
divisor = 0;
for (i = 0; i < kHeight; i++) for (j = 0; j < kWidth; j++) divisor += kernel[i][j];
}
if (divisor === 0) {
throw new RangeError('convolution: The divisor is equal to zero');
}
var radix2Sized = FFTUtils.toRadix2(inputData, nRows, nCols);
var conv = FFTUtils.convolute(radix2Sized.data, kernel, radix2Sized.rows, radix2Sized.cols);
conv = FFTUtils.crop(conv, radix2Sized.rows, radix2Sized.cols, nRows, nCols);
if (divisor != 0 && divisor != 1) {
for (i = 0; i < conv.length; i++) {
conv[i] /= divisor;
}
}
return conv;
}
function convolutionDirect(input, kernel, opt) {
var tmp = matrix2Array(input);
var inputData = tmp.data;
var options = Object.assign({
normalize: false,
divisor: 1,
rows: tmp.rows,
cols: tmp.cols
}, opt);
var nRows, nCols;
if (options.rows && options.cols) {
nRows = options.rows;
nCols = options.cols;
} else {
throw new Error("Invalid number of rows or columns " + nRows + " " + nCols);
}
var divisor = options.divisor;
var kHeight = kernel.length;
var kWidth = kernel[0].length;
var i, j, x, y, index, sum, kVal, row, col;
if (options.normalize) {
divisor = 0;
for (i = 0; i < kHeight; i++) for (j = 0; j < kWidth; j++) divisor += kernel[i][j];
}
if (divisor === 0) {
throw new RangeError('convolution: The divisor is equal to zero');
}
var output = new Array(nRows * nCols);
var hHeight = Math.floor(kHeight / 2);
var hWidth = Math.floor(kWidth / 2);
for (y = 0; y < nRows; y++) {
for (x = 0; x < nCols; x++) {
sum = 0;
for (j = 0; j < kHeight; j++) {
for (i = 0; i < kWidth; i++) {
kVal = kernel[kHeight - j - 1][kWidth - i - 1];
row = (y + j - hHeight + nRows) % nRows;
col = (x + i - hWidth + nCols) % nCols;
index = row * nCols + col;
sum += inputData[index] * kVal;
}
}
index = y * nCols + x;
output[index] = sum / divisor;
}
}
return output;
}
function LoG(sigma, nPoints, options) {
var factor = 1000;
if (options && options.factor) {
factor = options.factor;
}
var kernel = new Array(nPoints);
var i, j, tmp, y2;
factor *= -1; //-1/(Math.PI*Math.pow(sigma,4));
var center = (nPoints - 1) / 2;
var sigma2 = 2 * sigma * sigma;
for (i = 0; i < nPoints; i++) {
kernel[i] = new Array(nPoints);
y2 = (i - center) * (i - center);
for (j = 0; j < nPoints; j++) {
tmp = -((j - center) * (j - center) + y2) / sigma2;
kernel[i][j] = Math.round(factor * (1 + tmp) * Math.exp(tmp));
}
}
return kernel;
}
function matrix2Array(input) {
var inputData = input;
var nRows, nCols;
if (typeof input[0] != "number") {
nRows = input.length;
nCols = input[0].length;
inputData = new Array(nRows * nCols);
for (var i = 0; i < nRows; i++) {
for (var j = 0; j < nCols; j++) {
inputData[i * nCols + j] = input[i][j];
}
}
} else {
var tmp = Math.sqrt(input.length);
if (Number.isInteger(tmp)) {
nRows = tmp;
nCols = tmp;
}
}
return {
data: inputData,
rows: nRows,
cols: nCols
};
}
var src$2 = {
fft: convolutionFFT,
direct: convolutionDirect,
kernelFactory: {
LoG: LoG
},
matrix2Array: matrix2Array
};
var _isFinite = Number.isFinite || function (value) {
return !(typeof value !== 'number' || value !== value || value === Infinity || value === -Infinity);
};
// http://people.mozilla.org/~jorendorff/es6-draft.html#sec-number.isinteger
var isFinite$1 = _isFinite;
var isInteger = Number.isInteger || function (val) {
return typeof val === "number" && isFinite$1(val) && Math.floor(val) === val;
};
var isInteger$1 = isInteger;
function validateKernel(kernel) {
let kHeight, kWidth;
if (Array.isArray(kernel)) {
if (Array.isArray(kernel[0])) {
// 2D array
if ((kernel.length & 1) === 0 || (kernel[0].length & 1) === 0) {
throw new RangeError('validateKernel: Kernel rows and columns should be odd numbers');
} else {
kHeight = Math.floor(kernel.length / 2);
kWidth = Math.floor(kernel[0].length / 2);
}
} else {
let kernelWidth = Math.sqrt(kernel.length);
if (isInteger$1(kernelWidth)) {
kWidth = kHeight = Math.floor(Math.sqrt(kernel.length) / 2);
} else {
throw new RangeError('validateKernel: Kernel array should be a square');
} // we convert the array to a matrix
let newKernel = new Array(kernelWidth);
for (let i = 0; i < kernelWidth; i++) {
newKernel[i] = new Array(kernelWidth);
for (let j = 0; j < kernelWidth; j++) {
newKernel[i][j] = kernel[i * kernelWidth + j];
}
}
kernel = newKernel;
}
} else {
throw new Error(`validateKernel: Invalid Kernel: ${kernel}`);
}
return {
kernel,
kWidth,
kHeight
};
}
function clamp(value, image) {
return Math.round(Math.min(Math.max(value, 0), image.maxValue));
}
function directConvolution(input, kernel, output) {
if (output === undefined) {
const length = input.length + kernel.length - 1;
output = new Array(length);
}
fill(output);
for (var i = 0; i < input.length; i++) {
for (var j = 0; j < kernel.length; j++) {
output[i + j] += input[i] * kernel[j];
}
}
return output;
}
function fill(array) {
for (var i = 0; i < array.length; i++) {
array[i] = 0;
}
}
function convolutionSeparable(data, separatedKernel, width, height) {
const result = new Array(data.length);
let tmp, conv, offset, kernel;
kernel = separatedKernel[1];
offset = (kernel.length - 1) / 2;
conv = new Array(width + kernel.length - 1);
tmp = new Array(width);
for (let y = 0; y < height; y++) {
for (let x = 0; x < width; x++) {
tmp[x] = data[y * width + x];
}
directConvolution(tmp, kernel, conv);
for (let x = 0; x < width; x++) {
result[y * width + x] = conv[offset + x];
}
}
kernel = separatedKernel[0];
offset = (kernel.length - 1) / 2;
conv = new Array(height + kernel.length - 1);
tmp = new Array(height);
for (let x = 0; x < width; x++) {
for (let y = 0; y < height; y++) {
tmp[y] = result[y * width + x];
}
directConvolution(tmp, kernel, conv);
for (let y = 0; y < height; y++) {
result[y * width + x] = conv[offset + y];
}
}
return result;
}
const toString$1 = Object.prototype.toString;
/**
* Checks if an object is an instance of an Array (array or typed array).
*
* @param {any} value - Object to check.
* @returns {boolean} True if the object is an array.
*/
function isAnyArray(value) {
return toString$1.call(value).endsWith('Array]');
}
function max$1(input) {
var options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
if (!isAnyArray(input)) {
throw new TypeError('input must be an array');
}
if (input.length === 0) {
throw new TypeError('input must not be empty');
}
var _options$fromIndex = options.fromIndex,
fromIndex = _options$fromIndex === void 0 ? 0 : _options$fromIndex,
_options$toIndex = options.toIndex,
toIndex = _options$toIndex === void 0 ? input.length : _options$toIndex;
if (fromIndex < 0 || fromIndex >= input.length || !Number.isInteger(fromIndex)) {
throw new Error('fromIndex must be a positive integer smaller than length');
}
if (toIndex <= fromIndex || toIndex > input.length || !Number.isInteger(toIndex)) {
throw new Error('toIndex must be an integer greater than fromIndex and at most equal to length');
}
var maxValue = input[fromIndex];
for (var i = fromIndex + 1; i < toIndex; i++) {
if (input[i] > maxValue) maxValue = input[i];
}
return maxValue;
}
function min$1(input) {
var options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
if (!isAnyArray(input)) {
throw new TypeError('input must be an array');
}
if (input.length === 0) {
throw new TypeError('input must not be empty');
}
var _options$fromIndex = options.fromIndex,
fromIndex = _options$fromIndex === void 0 ? 0 : _options$fromIndex,
_options$toIndex = options.toIndex,
toIndex = _options$toIndex === void 0 ? input.length : _options$toIndex;
if (fromIndex < 0 || fromIndex >= input.length || !Number.isInteger(fromIndex)) {
throw new Error('fromIndex must be a positive integer smaller than length');
}
if (toIndex <= fromIndex || toIndex > input.length || !Number.isInteger(toIndex)) {
throw new Error('toIndex must be an integer greater than fromIndex and at most equal to length');
}
var minValue = input[fromIndex];
for (var i = fromIndex + 1; i < toIndex; i++) {
if (input[i] < minValue) minValue = input[i];
}
return minValue;
}
function rescale(input) {
var options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
if (!isAnyArray(input)) {
throw new TypeError('input must be an array');
} else if (input.length === 0) {
throw new TypeError('input must not be empty');
}
var output;
if (options.output !== undefined) {
if (!isAnyArray(options.output)) {
throw new TypeError('output option must be an array if specified');
}
output = options.output;
} else {
output = new Array(input.length);
}
var currentMin = min$1(input);
var currentMax = max$1(input);
if (currentMin === currentMax) {
throw new RangeError('minimum and maximum input values are equal. Cannot rescale a constant array');
}
var _options$min = options.min,
minValue = _options$min === void 0 ? options.autoMinMax ? currentMin : 0 : _options$min,
_options$max = options.max,
maxValue = _options$max === void 0 ? options.autoMinMax ? currentMax : 1 : _options$max;
if (minValue >= maxValue) {
throw new RangeError('min option must be smaller than max option');
}
var factor = (maxValue - minValue) / (currentMax - currentMin);
for (var i = 0; i < input.length; i++) {
output[i] = (input[i] - currentMin) * factor + minValue;
}
return output;
}
const indent = ' '.repeat(2);
const indentData = ' '.repeat(4);
function inspectMatrix() {
return inspectMatrixWithOptions(this);
}
function inspectMatrixWithOptions(matrix) {
let options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
const {
maxRows = 15,
maxColumns = 10,
maxNumSize = 8
} = options;
return `${matrix.constructor.name} {
${indent}[
${indentData}${inspectData(matrix, maxRows, maxColumns, maxNumSize)}
${indent}]
${indent}rows: ${matrix.rows}
${indent}columns: ${matrix.columns}
}`;
}
function inspectData(matrix, maxRows, maxColumns, maxNumSize) {
const {
rows,
columns
} = matrix;
const maxI = Math.min(rows, maxRows);
const maxJ = Math.min(columns, maxColumns);
const result = [];
for (let i = 0; i < maxI; i++) {
let line = [];
for (let j = 0; j < maxJ; j++) {
line.push(formatNumber(matrix.get(i, j), maxNumSize));
}
result.push(`${line.join(' ')}`);
}
if (maxJ !== columns) {
result[result.length - 1] += ` ... ${columns - maxColumns} more columns`;
}
if (maxI !== rows) {
result.push(`... ${rows - maxRows} more rows`);
}
return result.join(`\n${indentData}`);
}
function formatNumber(num, maxNumSize) {
const numStr = String(num);
if (numStr.length <= maxNumSize) {
return numStr.padEnd(maxNumSize, ' ');
}
const precise = num.toPrecision(maxNumSize - 2);
if (precise.length <= maxNumSize) {
return precise;
}
const exponential = num.toExponential(maxNumSize - 2);
const eIndex = exponential.indexOf('e');
const e = exponential.slice(eIndex);
return exponential.slice(0, maxNumSize - e.length) + e;
}
function installMathOperations(AbstractMatrix, Matrix) {
AbstractMatrix.prototype.add = function add(value) {
if (typeof value === 'number') return this.addS(value);
return this.addM(value);
};
AbstractMatrix.prototype.addS = function addS(value) {
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, this.get(i, j) + value);
}
}
return this;
};
AbstractMatrix.prototype.addM = function addM(matrix) {
matrix = Matrix.checkMatrix(matrix);
if (this.rows !== matrix.rows || this.columns !== matrix.columns) {
throw new RangeError('Matrices dimensions must be equal');
}
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, this.get(i, j) + matrix.get(i, j));
}
}
return this;
};
AbstractMatrix.add = function add(matrix, value) {
const newMatrix = new Matrix(matrix);
return newMatrix.add(value);
};
AbstractMatrix.prototype.sub = function sub(value) {
if (typeof value === 'number') return this.subS(value);
return this.subM(value);
};
AbstractMatrix.prototype.subS = function subS(value) {
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, this.get(i, j) - value);
}
}
return this;
};
AbstractMatrix.prototype.subM = function subM(matrix) {
matrix = Matrix.checkMatrix(matrix);
if (this.rows !== matrix.rows || this.columns !== matrix.columns) {
throw new RangeError('Matrices dimensions must be equal');
}
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, this.get(i, j) - matrix.get(i, j));
}
}
return this;
};
AbstractMatrix.sub = function sub(matrix, value) {
const newMatrix = new Matrix(matrix);
return newMatrix.sub(value);
};
AbstractMatrix.prototype.subtract = AbstractMatrix.prototype.sub;
AbstractMatrix.prototype.subtractS = AbstractMatrix.prototype.subS;
AbstractMatrix.prototype.subtractM = AbstractMatrix.prototype.subM;
AbstractMatrix.subtract = AbstractMatrix.sub;
AbstractMatrix.prototype.mul = function mul(value) {
if (typeof value === 'number') return this.mulS(value);
return this.mulM(value);
};
AbstractMatrix.prototype.mulS = function mulS(value) {
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, this.get(i, j) * value);
}
}
return this;
};
AbstractMatrix.prototype.mulM = function mulM(matrix) {
matrix = Matrix.checkMatrix(matrix);
if (this.rows !== matrix.rows || this.columns !== matrix.columns) {
throw new RangeError('Matrices dimensions must be equal');
}
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, this.get(i, j) * matrix.get(i, j));
}
}
return this;
};
AbstractMatrix.mul = function mul(matrix, value) {
const newMatrix = new Matrix(matrix);
return newMatrix.mul(value);
};
AbstractMatrix.prototype.multiply = AbstractMatrix.prototype.mul;
AbstractMatrix.prototype.multiplyS = AbstractMatrix.prototype.mulS;
AbstractMatrix.prototype.multiplyM = AbstractMatrix.prototype.mulM;
AbstractMatrix.multiply = AbstractMatrix.mul;
AbstractMatrix.prototype.div = function div(value) {
if (typeof value === 'number') return this.divS(value);
return this.divM(value);
};
AbstractMatrix.prototype.divS = function divS(value) {
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, this.get(i, j) / value);
}
}
return this;
};
AbstractMatrix.prototype.divM = function divM(matrix) {
matrix = Matrix.checkMatrix(matrix);
if (this.rows !== matrix.rows || this.columns !== matrix.columns) {
throw new RangeError('Matrices dimensions must be equal');
}
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, this.get(i, j) / matrix.get(i, j));
}
}
return this;
};
AbstractMatrix.div = function div(matrix, value) {
const newMatrix = new Matrix(matrix);
return newMatrix.div(value);
};
AbstractMatrix.prototype.divide = AbstractMatrix.prototype.div;
AbstractMatrix.prototype.divideS = AbstractMatrix.prototype.divS;
AbstractMatrix.prototype.divideM = AbstractMatrix.prototype.divM;
AbstractMatrix.divide = AbstractMatrix.div;
AbstractMatrix.prototype.mod = function mod(value) {
if (typeof value === 'number') return this.modS(value);
return this.modM(value);
};
AbstractMatrix.prototype.modS = function modS(value) {
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, this.get(i, j) % value);
}
}
return this;
};
AbstractMatrix.prototype.modM = function modM(matrix) {
matrix = Matrix.checkMatrix(matrix);
if (this.rows !== matrix.rows || this.columns !== matrix.columns) {
throw new RangeError('Matrices dimensions must be equal');
}
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, this.get(i, j) % matrix.get(i, j));
}
}
return this;
};
AbstractMatrix.mod = function mod(matrix, value) {
const newMatrix = new Matrix(matrix);
return newMatrix.mod(value);
};
AbstractMatrix.prototype.modulus = AbstractMatrix.prototype.mod;
AbstractMatrix.prototype.modulusS = AbstractMatrix.prototype.modS;
AbstractMatrix.prototype.modulusM = AbstractMatrix.prototype.modM;
AbstractMatrix.modulus = AbstractMatrix.mod;
AbstractMatrix.prototype.and = function and(value) {
if (typeof value === 'number') return this.andS(value);
return this.andM(value);
};
AbstractMatrix.prototype.andS = function andS(value) {
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, this.get(i, j) & value);
}
}
return this;
};
AbstractMatrix.prototype.andM = function andM(matrix) {
matrix = Matrix.checkMatrix(matrix);
if (this.rows !== matrix.rows || this.columns !== matrix.columns) {
throw new RangeError('Matrices dimensions must be equal');
}
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, this.get(i, j) & matrix.get(i, j));
}
}
return this;
};
AbstractMatrix.and = function and(matrix, value) {
const newMatrix = new Matrix(matrix);
return newMatrix.and(value);
};
AbstractMatrix.prototype.or = function or(value) {
if (typeof value === 'number') return this.orS(value);
return this.orM(value);
};
AbstractMatrix.prototype.orS = function orS(value) {
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, this.get(i, j) | value);
}
}
return this;
};
AbstractMatrix.prototype.orM = function orM(matrix) {
matrix = Matrix.checkMatrix(matrix);
if (this.rows !== matrix.rows || this.columns !== matrix.columns) {
throw new RangeError('Matrices dimensions must be equal');
}
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, this.get(i, j) | matrix.get(i, j));
}
}
return this;
};
AbstractMatrix.or = function or(matrix, value) {
const newMatrix = new Matrix(matrix);
return newMatrix.or(value);
};
AbstractMatrix.prototype.xor = function xor(value) {
if (typeof value === 'number') return this.xorS(value);
return this.xorM(value);
};
AbstractMatrix.prototype.xorS = function xorS(value) {
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, this.get(i, j) ^ value);
}
}
return this;
};
AbstractMatrix.prototype.xorM = function xorM(matrix) {
matrix = Matrix.checkMatrix(matrix);
if (this.rows !== matrix.rows || this.columns !== matrix.columns) {
throw new RangeError('Matrices dimensions must be equal');
}
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, this.get(i, j) ^ matrix.get(i, j));
}
}
return this;
};
AbstractMatrix.xor = function xor(matrix, value) {
const newMatrix = new Matrix(matrix);
return newMatrix.xor(value);
};
AbstractMatrix.prototype.leftShift = function leftShift(value) {
if (typeof value === 'number') return this.leftShiftS(value);
return this.leftShiftM(value);
};
AbstractMatrix.prototype.leftShiftS = function leftShiftS(value) {
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, this.get(i, j) << value);
}
}
return this;
};
AbstractMatrix.prototype.leftShiftM = function leftShiftM(matrix) {
matrix = Matrix.checkMatrix(matrix);
if (this.rows !== matrix.rows || this.columns !== matrix.columns) {
throw new RangeError('Matrices dimensions must be equal');
}
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, this.get(i, j) << matrix.get(i, j));
}
}
return this;
};
AbstractMatrix.leftShift = function leftShift(matrix, value) {
const newMatrix = new Matrix(matrix);
return newMatrix.leftShift(value);
};
AbstractMatrix.prototype.signPropagatingRightShift = function signPropagatingRightShift(value) {
if (typeof value === 'number') return this.signPropagatingRightShiftS(value);
return this.signPropagatingRightShiftM(value);
};
AbstractMatrix.prototype.signPropagatingRightShiftS = function signPropagatingRightShiftS(value) {
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, this.get(i, j) >> value);
}
}
return this;
};
AbstractMatrix.prototype.signPropagatingRightShiftM = function signPropagatingRightShiftM(matrix) {
matrix = Matrix.checkMatrix(matrix);
if (this.rows !== matrix.rows || this.columns !== matrix.columns) {
throw new RangeError('Matrices dimensions must be equal');
}
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, this.get(i, j) >> matrix.get(i, j));
}
}
return this;
};
AbstractMatrix.signPropagatingRightShift = function signPropagatingRightShift(matrix, value) {
const newMatrix = new Matrix(matrix);
return newMatrix.signPropagatingRightShift(value);
};
AbstractMatrix.prototype.rightShift = function rightShift(value) {
if (typeof value === 'number') return this.rightShiftS(value);
return this.rightShiftM(value);
};
AbstractMatrix.prototype.rightShiftS = function rightShiftS(value) {
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, this.get(i, j) >>> value);
}
}
return this;
};
AbstractMatrix.prototype.rightShiftM = function rightShiftM(matrix) {
matrix = Matrix.checkMatrix(matrix);
if (this.rows !== matrix.rows || this.columns !== matrix.columns) {
throw new RangeError('Matrices dimensions must be equal');
}
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, this.get(i, j) >>> matrix.get(i, j));
}
}
return this;
};
AbstractMatrix.rightShift = function rightShift(matrix, value) {
const newMatrix = new Matrix(matrix);
return newMatrix.rightShift(value);
};
AbstractMatrix.prototype.zeroFillRightShift = AbstractMatrix.prototype.rightShift;
AbstractMatrix.prototype.zeroFillRightShiftS = AbstractMatrix.prototype.rightShiftS;
AbstractMatrix.prototype.zeroFillRightShiftM = AbstractMatrix.prototype.rightShiftM;
AbstractMatrix.zeroFillRightShift = AbstractMatrix.rightShift;
AbstractMatrix.prototype.not = function not() {
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, ~this.get(i, j));
}
}
return this;
};
AbstractMatrix.not = function not(matrix) {
const newMatrix = new Matrix(matrix);
return newMatrix.not();
};
AbstractMatrix.prototype.abs = function abs() {
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, Math.abs(this.get(i, j)));
}
}
return this;
};
AbstractMatrix.abs = function abs(matrix) {
const newMatrix = new Matrix(matrix);
return newMatrix.abs();
};
AbstractMatrix.prototype.acos = function acos() {
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, Math.acos(this.get(i, j)));
}
}
return this;
};
AbstractMatrix.acos = function acos(matrix) {
const newMatrix = new Matrix(matrix);
return newMatrix.acos();
};
AbstractMatrix.prototype.acosh = function acosh() {
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, Math.acosh(this.get(i, j)));
}
}
return this;
};
AbstractMatrix.acosh = function acosh(matrix) {
const newMatrix = new Matrix(matrix);
return newMatrix.acosh();
};
AbstractMatrix.prototype.asin = function asin() {
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, Math.asin(this.get(i, j)));
}
}
return this;
};
AbstractMatrix.asin = function asin(matrix) {
const newMatrix = new Matrix(matrix);
return newMatrix.asin();
};
AbstractMatrix.prototype.asinh = function asinh() {
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, Math.asinh(this.get(i, j)));
}
}
return this;
};
AbstractMatrix.asinh = function asinh(matrix) {
const newMatrix = new Matrix(matrix);
return newMatrix.asinh();
};
AbstractMatrix.prototype.atan = function atan() {
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, Math.atan(this.get(i, j)));
}
}
return this;
};
AbstractMatrix.atan = function atan(matrix) {
const newMatrix = new Matrix(matrix);
return newMatrix.atan();
};
AbstractMatrix.prototype.atanh = function atanh() {
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, Math.atanh(this.get(i, j)));
}
}
return this;
};
AbstractMatrix.atanh = function atanh(matrix) {
const newMatrix = new Matrix(matrix);
return newMatrix.atanh();
};
AbstractMatrix.prototype.cbrt = function cbrt() {
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, Math.cbrt(this.get(i, j)));
}
}
return this;
};
AbstractMatrix.cbrt = function cbrt(matrix) {
const newMatrix = new Matrix(matrix);
return newMatrix.cbrt();
};
AbstractMatrix.prototype.ceil = function ceil() {
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, Math.ceil(this.get(i, j)));
}
}
return this;
};
AbstractMatrix.ceil = function ceil(matrix) {
const newMatrix = new Matrix(matrix);
return newMatrix.ceil();
};
AbstractMatrix.prototype.clz32 = function clz32() {
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, Math.clz32(this.get(i, j)));
}
}
return this;
};
AbstractMatrix.clz32 = function clz32(matrix) {
const newMatrix = new Matrix(matrix);
return newMatrix.clz32();
};
AbstractMatrix.prototype.cos = function cos() {
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, Math.cos(this.get(i, j)));
}
}
return this;
};
AbstractMatrix.cos = function cos(matrix) {
const newMatrix = new Matrix(matrix);
return newMatrix.cos();
};
AbstractMatrix.prototype.cosh = function cosh() {
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, Math.cosh(this.get(i, j)));
}
}
return this;
};
AbstractMatrix.cosh = function cosh(matrix) {
const newMatrix = new Matrix(matrix);
return newMatrix.cosh();
};
AbstractMatrix.prototype.exp = function exp() {
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, Math.exp(this.get(i, j)));
}
}
return this;
};
AbstractMatrix.exp = function exp(matrix) {
const newMatrix = new Matrix(matrix);
return newMatrix.exp();
};
AbstractMatrix.prototype.expm1 = function expm1() {
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, Math.expm1(this.get(i, j)));
}
}
return this;
};
AbstractMatrix.expm1 = function expm1(matrix) {
const newMatrix = new Matrix(matrix);
return newMatrix.expm1();
};
AbstractMatrix.prototype.floor = function floor() {
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, Math.floor(this.get(i, j)));
}
}
return this;
};
AbstractMatrix.floor = function floor(matrix) {
const newMatrix = new Matrix(matrix);
return newMatrix.floor();
};
AbstractMatrix.prototype.fround = function fround() {
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, Math.fround(this.get(i, j)));
}
}
return this;
};
AbstractMatrix.fround = function fround(matrix) {
const newMatrix = new Matrix(matrix);
return newMatrix.fround();
};
AbstractMatrix.prototype.log = function log() {
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, Math.log(this.get(i, j)));
}
}
return this;
};
AbstractMatrix.log = function log(matrix) {
const newMatrix = new Matrix(matrix);
return newMatrix.log();
};
AbstractMatrix.prototype.log1p = function log1p() {
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, Math.log1p(this.get(i, j)));
}
}
return this;
};
AbstractMatrix.log1p = function log1p(matrix) {
const newMatrix = new Matrix(matrix);
return newMatrix.log1p();
};
AbstractMatrix.prototype.log10 = function log10() {
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, Math.log10(this.get(i, j)));
}
}
return this;
};
AbstractMatrix.log10 = function log10(matrix) {
const newMatrix = new Matrix(matrix);
return newMatrix.log10();
};
AbstractMatrix.prototype.log2 = function log2() {
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, Math.log2(this.get(i, j)));
}
}
return this;
};
AbstractMatrix.log2 = function log2(matrix) {
const newMatrix = new Matrix(matrix);
return newMatrix.log2();
};
AbstractMatrix.prototype.round = function round() {
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, Math.round(this.get(i, j)));
}
}
return this;
};
AbstractMatrix.round = function round(matrix) {
const newMatrix = new Matrix(matrix);
return newMatrix.round();
};
AbstractMatrix.prototype.sign = function sign() {
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, Math.sign(this.get(i, j)));
}
}
return this;
};
AbstractMatrix.sign = function sign(matrix) {
const newMatrix = new Matrix(matrix);
return newMatrix.sign();
};
AbstractMatrix.prototype.sin = function sin() {
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, Math.sin(this.get(i, j)));
}
}
return this;
};
AbstractMatrix.sin = function sin(matrix) {
const newMatrix = new Matrix(matrix);
return newMatrix.sin();
};
AbstractMatrix.prototype.sinh = function sinh() {
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, Math.sinh(this.get(i, j)));
}
}
return this;
};
AbstractMatrix.sinh = function sinh(matrix) {
const newMatrix = new Matrix(matrix);
return newMatrix.sinh();
};
AbstractMatrix.prototype.sqrt = function sqrt() {
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, Math.sqrt(this.get(i, j)));
}
}
return this;
};
AbstractMatrix.sqrt = function sqrt(matrix) {
const newMatrix = new Matrix(matrix);
return newMatrix.sqrt();
};
AbstractMatrix.prototype.tan = function tan() {
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, Math.tan(this.get(i, j)));
}
}
return this;
};
AbstractMatrix.tan = function tan(matrix) {
const newMatrix = new Matrix(matrix);
return newMatrix.tan();
};
AbstractMatrix.prototype.tanh = function tanh() {
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, Math.tanh(this.get(i, j)));
}
}
return this;
};
AbstractMatrix.tanh = function tanh(matrix) {
const newMatrix = new Matrix(matrix);
return newMatrix.tanh();
};
AbstractMatrix.prototype.trunc = function trunc() {
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, Math.trunc(this.get(i, j)));
}
}
return this;
};
AbstractMatrix.trunc = function trunc(matrix) {
const newMatrix = new Matrix(matrix);
return newMatrix.trunc();
};
AbstractMatrix.pow = function pow(matrix, arg0) {
const newMatrix = new Matrix(matrix);
return newMatrix.pow(arg0);
};
AbstractMatrix.prototype.pow = function pow(value) {
if (typeof value === 'number') return this.powS(value);
return this.powM(value);
};
AbstractMatrix.prototype.powS = function powS(value) {
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, Math.pow(this.get(i, j), value));
}
}
return this;
};
AbstractMatrix.prototype.powM = function powM(matrix) {
matrix = Matrix.checkMatrix(matrix);
if (this.rows !== matrix.rows || this.columns !== matrix.columns) {
throw new RangeError('Matrices dimensions must be equal');
}
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, Math.pow(this.get(i, j), matrix.get(i, j)));
}
}
return this;
};
}
/**
* @private
* Check that a row index is not out of bounds
* @param {Matrix} matrix
* @param {number} index
* @param {boolean} [outer]
*/
function checkRowIndex(matrix, index, outer) {
let max = outer ? matrix.rows : matrix.rows - 1;
if (index < 0 || index > max) {
throw new RangeError('Row index out of range');
}
}
/**
* @private
* Check that a column index is not out of bounds
* @param {Matrix} matrix
* @param {number} index
* @param {boolean} [outer]
*/
function checkColumnIndex(matrix, index, outer) {
let max = outer ? matrix.columns : matrix.columns - 1;
if (index < 0 || index > max) {
throw new RangeError('Column index out of range');
}
}
/**
* @private
* Check that the provided vector is an array with the right length
* @param {Matrix} matrix
* @param {Array|Matrix} vector
* @return {Array}
* @throws {RangeError}
*/
function checkRowVector(matrix, vector) {
if (vector.to1DArray) {
vector = vector.to1DArray();
}
if (vector.length !== matrix.columns) {
throw new RangeError('vector size must be the same as the number of columns');
}
return vector;
}
/**
* @private
* Check that the provided vector is an array with the right length
* @param {Matrix} matrix
* @param {Array|Matrix} vector
* @return {Array}
* @throws {RangeError}
*/
function checkColumnVector(matrix, vector) {
if (vector.to1DArray) {
vector = vector.to1DArray();
}
if (vector.length !== matrix.rows) {
throw new RangeError('vector size must be the same as the number of rows');
}
return vector;
}
function checkRowIndices(matrix, rowIndices) {
if (!isAnyArray(rowIndices)) {
throw new TypeError('row indices must be an array');
}
for (let i = 0; i < rowIndices.length; i++) {
if (rowIndices[i] < 0 || rowIndices[i] >= matrix.rows) {
throw new RangeError('row indices are out of range');
}
}
}
function checkColumnIndices(matrix, columnIndices) {
if (!isAnyArray(columnIndices)) {
throw new TypeError('column indices must be an array');
}
for (let i = 0; i < columnIndices.length; i++) {
if (columnIndices[i] < 0 || columnIndices[i] >= matrix.columns) {
throw new RangeError('column indices are out of range');
}
}
}
function checkRange(matrix, startRow, endRow, startColumn, endColumn) {
if (arguments.length !== 5) {
throw new RangeError('expected 4 arguments');
}
checkNumber('startRow', startRow);
checkNumber('endRow', endRow);
checkNumber('startColumn', startColumn);
checkNumber('endColumn', endColumn);
if (startRow > endRow || startColumn > endColumn || startRow < 0 || startRow >= matrix.rows || endRow < 0 || endRow >= matrix.rows || startColumn < 0 || startColumn >= matrix.columns || endColumn < 0 || endColumn >= matrix.columns) {
throw new RangeError('Submatrix indices are out of range');
}
}
function newArray$2(length) {
let value = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : 0;
let array = [];
for (let i = 0; i < length; i++) {
array.push(value);
}
return array;
}
function checkNumber(name, value) {
if (typeof value !== 'number') {
throw new TypeError(`${name} must be a number`);
}
}
function checkNonEmpty(matrix) {
if (matrix.isEmpty()) {
throw new Error('Empty matrix has no elements to index');
}
}
function sumByRow(matrix) {
let sum = newArray$2(matrix.rows);
for (let i = 0; i < matrix.rows; ++i) {
for (let j = 0; j < matrix.columns; ++j) {
sum[i] += matrix.get(i, j);
}
}
return sum;
}
function sumByColumn(matrix) {
let sum = newArray$2(matrix.columns);
for (let i = 0; i < matrix.rows; ++i) {
for (let j = 0; j < matrix.columns; ++j) {
sum[j] += matrix.get(i, j);
}
}
return sum;
}
function sumAll(matrix) {
let v = 0;
for (let i = 0; i < matrix.rows; i++) {
for (let j = 0; j < matrix.columns; j++) {
v += matrix.get(i, j);
}
}
return v;
}
function productByRow(matrix) {
let sum = newArray$2(matrix.rows, 1);
for (let i = 0; i < matrix.rows; ++i) {
for (let j = 0; j < matrix.columns; ++j) {
sum[i] *= matrix.get(i, j);
}
}
return sum;
}
function productByColumn(matrix) {
let sum = newArray$2(matrix.columns, 1);
for (let i = 0; i < matrix.rows; ++i) {
for (let j = 0; j < matrix.columns; ++j) {
sum[j] *= matrix.get(i, j);
}
}
return sum;
}
function productAll(matrix) {
let v = 1;
for (let i = 0; i < matrix.rows; i++) {
for (let j = 0; j < matrix.columns; j++) {
v *= matrix.get(i, j);
}
}
return v;
}
function varianceByRow(matrix, unbiased, mean) {
const rows = matrix.rows;
const cols = matrix.columns;
const variance = [];
for (let i = 0; i < rows; i++) {
let sum1 = 0;
let sum2 = 0;
let x = 0;
for (let j = 0; j < cols; j++) {
x = matrix.get(i, j) - mean[i];
sum1 += x;
sum2 += x * x;
}
if (unbiased) {
variance.push((sum2 - sum1 * sum1 / cols) / (cols - 1));
} else {
variance.push((sum2 - sum1 * sum1 / cols) / cols);
}
}
return variance;
}
function varianceByColumn(matrix, unbiased, mean) {
const rows = matrix.rows;
const cols = matrix.columns;
const variance = [];
for (let j = 0; j < cols; j++) {
let sum1 = 0;
let sum2 = 0;
let x = 0;
for (let i = 0; i < rows; i++) {
x = matrix.get(i, j) - mean[j];
sum1 += x;
sum2 += x * x;
}
if (unbiased) {
variance.push((sum2 - sum1 * sum1 / rows) / (rows - 1));
} else {
variance.push((sum2 - sum1 * sum1 / rows) / rows);
}
}
return variance;
}
function varianceAll(matrix, unbiased, mean) {
const rows = matrix.rows;
const cols = matrix.columns;
const size = rows * cols;
let sum1 = 0;
let sum2 = 0;
let x = 0;
for (let i = 0; i < rows; i++) {
for (let j = 0; j < cols; j++) {
x = matrix.get(i, j) - mean;
sum1 += x;
sum2 += x * x;
}
}
if (unbiased) {
return (sum2 - sum1 * sum1 / size) / (size - 1);
} else {
return (sum2 - sum1 * sum1 / size) / size;
}
}
function centerByRow(matrix, mean) {
for (let i = 0; i < matrix.rows; i++) {
for (let j = 0; j < matrix.columns; j++) {
matrix.set(i, j, matrix.get(i, j) - mean[i]);
}
}
}
function centerByColumn(matrix, mean) {
for (let i = 0; i < matrix.rows; i++) {
for (let j = 0; j < matrix.columns; j++) {
matrix.set(i, j, matrix.get(i, j) - mean[j]);
}
}
}
function centerAll(matrix, mean) {
for (let i = 0; i < matrix.rows; i++) {
for (let j = 0; j < matrix.columns; j++) {
matrix.set(i, j, matrix.get(i, j) - mean);
}
}
}
function getScaleByRow(matrix) {
const scale = [];
for (let i = 0; i < matrix.rows; i++) {
let sum = 0;
for (let j = 0; j < matrix.columns; j++) {
sum += Math.pow(matrix.get(i, j), 2) / (matrix.columns - 1);
}
scale.push(Math.sqrt(sum));
}
return scale;
}
function scaleByRow(matrix, scale) {
for (let i = 0; i < matrix.rows; i++) {
for (let j = 0; j < matrix.columns; j++) {
matrix.set(i, j, matrix.get(i, j) / scale[i]);
}
}
}
function getScaleByColumn(matrix) {
const scale = [];
for (let j = 0; j < matrix.columns; j++) {
let sum = 0;
for (let i = 0; i < matrix.rows; i++) {
sum += Math.pow(matrix.get(i, j), 2) / (matrix.rows - 1);
}
scale.push(Math.sqrt(sum));
}
return scale;
}
function scaleByColumn(matrix, scale) {
for (let i = 0; i < matrix.rows; i++) {
for (let j = 0; j < matrix.columns; j++) {
matrix.set(i, j, matrix.get(i, j) / scale[j]);
}
}
}
function getScaleAll(matrix) {
const divider = matrix.size - 1;
let sum = 0;
for (let j = 0; j < matrix.columns; j++) {
for (let i = 0; i < matrix.rows; i++) {
sum += Math.pow(matrix.get(i, j), 2) / divider;
}
}
return Math.sqrt(sum);
}
function scaleAll(matrix, scale) {
for (let i = 0; i < matrix.rows; i++) {
for (let j = 0; j < matrix.columns; j++) {
matrix.set(i, j, matrix.get(i, j) / scale);
}
}
}
class AbstractMatrix {
static from1DArray(newRows, newColumns, newData) {
let length = newRows * newColumns;
if (length !== newData.length) {
throw new RangeError('data length does not match given dimensions');
}
let newMatrix = new Matrix$2(newRows, newColumns);
for (let row = 0; row < newRows; row++) {
for (let column = 0; column < newColumns; column++) {
newMatrix.set(row, column, newData[row * newColumns + column]);
}
}
return newMatrix;
}
static rowVector(newData) {
let vector = new Matrix$2(1, newData.length);
for (let i = 0; i < newData.length; i++) {
vector.set(0, i, newData[i]);
}
return vector;
}
static columnVector(newData) {
let vector = new Matrix$2(newData.length, 1);
for (let i = 0; i < newData.length; i++) {
vector.set(i, 0, newData[i]);
}
return vector;
}
static zeros(rows, columns) {
return new Matrix$2(rows, columns);
}
static ones(rows, columns) {
return new Matrix$2(rows, columns).fill(1);
}
static rand(rows, columns) {
let options = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : {};
if (typeof options !== 'object') {
throw new TypeError('options must be an object');
}
const {
random = Math.random
} = options;
let matrix = new Matrix$2(rows, columns);
for (let i = 0; i < rows; i++) {
for (let j = 0; j < columns; j++) {
matrix.set(i, j, random());
}
}
return matrix;
}
static randInt(rows, columns) {
let options = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : {};
if (typeof options !== 'object') {
throw new TypeError('options must be an object');
}
const {
min = 0,
max = 1000,
random = Math.random
} = options;
if (!Number.isInteger(min)) throw new TypeError('min must be an integer');
if (!Number.isInteger(max)) throw new TypeError('max must be an integer');
if (min >= max) throw new RangeError('min must be smaller than max');
let interval = max - min;
let matrix = new Matrix$2(rows, columns);
for (let i = 0; i < rows; i++) {
for (let j = 0; j < columns; j++) {
let value = min + Math.round(random() * interval);
matrix.set(i, j, value);
}
}
return matrix;
}
static eye(rows, columns, value) {
if (columns === undefined) columns = rows;
if (value === undefined) value = 1;
let min = Math.min(rows, columns);
let matrix = this.zeros(rows, columns);
for (let i = 0; i < min; i++) {
matrix.set(i, i, value);
}
return matrix;
}
static diag(data, rows, columns) {
let l = data.length;
if (rows === undefined) rows = l;
if (columns === undefined) columns = rows;
let min = Math.min(l, rows, columns);
let matrix = this.zeros(rows, columns);
for (let i = 0; i < min; i++) {
matrix.set(i, i, data[i]);
}
return matrix;
}
static min(matrix1, matrix2) {
matrix1 = this.checkMatrix(matrix1);
matrix2 = this.checkMatrix(matrix2);
let rows = matrix1.rows;
let columns = matrix1.columns;
let result = new Matrix$2(rows, columns);
for (let i = 0; i < rows; i++) {
for (let j = 0; j < columns; j++) {
result.set(i, j, Math.min(matrix1.get(i, j), matrix2.get(i, j)));
}
}
return result;
}
static max(matrix1, matrix2) {
matrix1 = this.checkMatrix(matrix1);
matrix2 = this.checkMatrix(matrix2);
let rows = matrix1.rows;
let columns = matrix1.columns;
let result = new this(rows, columns);
for (let i = 0; i < rows; i++) {
for (let j = 0; j < columns; j++) {
result.set(i, j, Math.max(matrix1.get(i, j), matrix2.get(i, j)));
}
}
return result;
}
static checkMatrix(value) {
return AbstractMatrix.isMatrix(value) ? value : new Matrix$2(value);
}
static isMatrix(value) {
return value != null && value.klass === 'Matrix';
}
get size() {
return this.rows * this.columns;
}
apply(callback) {
if (typeof callback !== 'function') {
throw new TypeError('callback must be a function');
}
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
callback.call(this, i, j);
}
}
return this;
}
to1DArray() {
let array = [];
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
array.push(this.get(i, j));
}
}
return array;
}
to2DArray() {
let copy = [];
for (let i = 0; i < this.rows; i++) {
copy.push([]);
for (let j = 0; j < this.columns; j++) {
copy[i].push(this.get(i, j));
}
}
return copy;
}
toJSON() {
return this.to2DArray();
}
isRowVector() {
return this.rows === 1;
}
isColumnVector() {
return this.columns === 1;
}
isVector() {
return this.rows === 1 || this.columns === 1;
}
isSquare() {
return this.rows === this.columns;
}
isEmpty() {
return this.rows === 0 || this.columns === 0;
}
isSymmetric() {
if (this.isSquare()) {
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j <= i; j++) {
if (this.get(i, j) !== this.get(j, i)) {
return false;
}
}
}
return true;
}
return false;
}
isEchelonForm() {
let i = 0;
let j = 0;
let previousColumn = -1;
let isEchelonForm = true;
let checked = false;
while (i < this.rows && isEchelonForm) {
j = 0;
checked = false;
while (j < this.columns && checked === false) {
if (this.get(i, j) === 0) {
j++;
} else if (this.get(i, j) === 1 && j > previousColumn) {
checked = true;
previousColumn = j;
} else {
isEchelonForm = false;
checked = true;
}
}
i++;
}
return isEchelonForm;
}
isReducedEchelonForm() {
let i = 0;
let j = 0;
let previousColumn = -1;
let isReducedEchelonForm = true;
let checked = false;
while (i < this.rows && isReducedEchelonForm) {
j = 0;
checked = false;
while (j < this.columns && checked === false) {
if (this.get(i, j) === 0) {
j++;
} else if (this.get(i, j) === 1 && j > previousColumn) {
checked = true;
previousColumn = j;
} else {
isReducedEchelonForm = false;
checked = true;
}
}
for (let k = j + 1; k < this.rows; k++) {
if (this.get(i, k) !== 0) {
isReducedEchelonForm = false;
}
}
i++;
}
return isReducedEchelonForm;
}
echelonForm() {
let result = this.clone();
let h = 0;
let k = 0;
while (h < result.rows && k < result.columns) {
let iMax = h;
for (let i = h; i < result.rows; i++) {
if (result.get(i, k) > result.get(iMax, k)) {
iMax = i;
}
}
if (result.get(iMax, k) === 0) {
k++;
} else {
result.swapRows(h, iMax);
let tmp = result.get(h, k);
for (let j = k; j < result.columns; j++) {
result.set(h, j, result.get(h, j) / tmp);
}
for (let i = h + 1; i < result.rows; i++) {
let factor = result.get(i, k) / result.get(h, k);
result.set(i, k, 0);
for (let j = k + 1; j < result.columns; j++) {
result.set(i, j, result.get(i, j) - result.get(h, j) * factor);
}
}
h++;
k++;
}
}
return result;
}
reducedEchelonForm() {
let result = this.echelonForm();
let m = result.columns;
let n = result.rows;
let h = n - 1;
while (h >= 0) {
if (result.maxRow(h) === 0) {
h--;
} else {
let p = 0;
let pivot = false;
while (p < n && pivot === false) {
if (result.get(h, p) === 1) {
pivot = true;
} else {
p++;
}
}
for (let i = 0; i < h; i++) {
let factor = result.get(i, p);
for (let j = p; j < m; j++) {
let tmp = result.get(i, j) - factor * result.get(h, j);
result.set(i, j, tmp);
}
}
h--;
}
}
return result;
}
set() {
throw new Error('set method is unimplemented');
}
get() {
throw new Error('get method is unimplemented');
}
repeat() {
let options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};
if (typeof options !== 'object') {
throw new TypeError('options must be an object');
}
const {
rows = 1,
columns = 1
} = options;
if (!Number.isInteger(rows) || rows <= 0) {
throw new TypeError('rows must be a positive integer');
}
if (!Number.isInteger(columns) || columns <= 0) {
throw new TypeError('columns must be a positive integer');
}
let matrix = new Matrix$2(this.rows * rows, this.columns * columns);
for (let i = 0; i < rows; i++) {
for (let j = 0; j < columns; j++) {
matrix.setSubMatrix(this, this.rows * i, this.columns * j);
}
}
return matrix;
}
fill(value) {
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, value);
}
}
return this;
}
neg() {
return this.mulS(-1);
}
getRow(index) {
checkRowIndex(this, index);
let row = [];
for (let i = 0; i < this.columns; i++) {
row.push(this.get(index, i));
}
return row;
}
getRowVector(index) {
return Matrix$2.rowVector(this.getRow(index));
}
setRow(index, array) {
checkRowIndex(this, index);
array = checkRowVector(this, array);
for (let i = 0; i < this.columns; i++) {
this.set(index, i, array[i]);
}
return this;
}
swapRows(row1, row2) {
checkRowIndex(this, row1);
checkRowIndex(this, row2);
for (let i = 0; i < this.columns; i++) {
let temp = this.get(row1, i);
this.set(row1, i, this.get(row2, i));
this.set(row2, i, temp);
}
return this;
}
getColumn(index) {
checkColumnIndex(this, index);
let column = [];
for (let i = 0; i < this.rows; i++) {
column.push(this.get(i, index));
}
return column;
}
getColumnVector(index) {
return Matrix$2.columnVector(this.getColumn(index));
}
setColumn(index, array) {
checkColumnIndex(this, index);
array = checkColumnVector(this, array);
for (let i = 0; i < this.rows; i++) {
this.set(i, index, array[i]);
}
return this;
}
swapColumns(column1, column2) {
checkColumnIndex(this, column1);
checkColumnIndex(this, column2);
for (let i = 0; i < this.rows; i++) {
let temp = this.get(i, column1);
this.set(i, column1, this.get(i, column2));
this.set(i, column2, temp);
}
return this;
}
addRowVector(vector) {
vector = checkRowVector(this, vector);
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, this.get(i, j) + vector[j]);
}
}
return this;
}
subRowVector(vector) {
vector = checkRowVector(this, vector);
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, this.get(i, j) - vector[j]);
}
}
return this;
}
mulRowVector(vector) {
vector = checkRowVector(this, vector);
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, this.get(i, j) * vector[j]);
}
}
return this;
}
divRowVector(vector) {
vector = checkRowVector(this, vector);
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, this.get(i, j) / vector[j]);
}
}
return this;
}
addColumnVector(vector) {
vector = checkColumnVector(this, vector);
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, this.get(i, j) + vector[i]);
}
}
return this;
}
subColumnVector(vector) {
vector = checkColumnVector(this, vector);
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, this.get(i, j) - vector[i]);
}
}
return this;
}
mulColumnVector(vector) {
vector = checkColumnVector(this, vector);
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, this.get(i, j) * vector[i]);
}
}
return this;
}
divColumnVector(vector) {
vector = checkColumnVector(this, vector);
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
this.set(i, j, this.get(i, j) / vector[i]);
}
}
return this;
}
mulRow(index, value) {
checkRowIndex(this, index);
for (let i = 0; i < this.columns; i++) {
this.set(index, i, this.get(index, i) * value);
}
return this;
}
mulColumn(index, value) {
checkColumnIndex(this, index);
for (let i = 0; i < this.rows; i++) {
this.set(i, index, this.get(i, index) * value);
}
return this;
}
max(by) {
if (this.isEmpty()) {
return NaN;
}
switch (by) {
case 'row':
{
const max = new Array(this.rows).fill(Number.NEGATIVE_INFINITY);
for (let row = 0; row < this.rows; row++) {
for (let column = 0; column < this.columns; column++) {
if (this.get(row, column) > max[row]) {
max[row] = this.get(row, column);
}
}
}
return max;
}
case 'column':
{
const max = new Array(this.columns).fill(Number.NEGATIVE_INFINITY);
for (let row = 0; row < this.rows; row++) {
for (let column = 0; column < this.columns; column++) {
if (this.get(row, column) > max[column]) {
max[column] = this.get(row, column);
}
}
}
return max;
}
case undefined:
{
let max = this.get(0, 0);
for (let row = 0; row < this.rows; row++) {
for (let column = 0; column < this.columns; column++) {
if (this.get(row, column) > max) {
max = this.get(row, column);
}
}
}
return max;
}
default:
throw new Error(`invalid option: ${by}`);
}
}
maxIndex() {
checkNonEmpty(this);
let v = this.get(0, 0);
let idx = [0, 0];
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
if (this.get(i, j) > v) {
v = this.get(i, j);
idx[0] = i;
idx[1] = j;
}
}
}
return idx;
}
min(by) {
if (this.isEmpty()) {
return NaN;
}
switch (by) {
case 'row':
{
const min = new Array(this.rows).fill(Number.POSITIVE_INFINITY);
for (let row = 0; row < this.rows; row++) {
for (let column = 0; column < this.columns; column++) {
if (this.get(row, column) < min[row]) {
min[row] = this.get(row, column);
}
}
}
return min;
}
case 'column':
{
const min = new Array(this.columns).fill(Number.POSITIVE_INFINITY);
for (let row = 0; row < this.rows; row++) {
for (let column = 0; column < this.columns; column++) {
if (this.get(row, column) < min[column]) {
min[column] = this.get(row, column);
}
}
}
return min;
}
case undefined:
{
let min = this.get(0, 0);
for (let row = 0; row < this.rows; row++) {
for (let column = 0; column < this.columns; column++) {
if (this.get(row, column) < min) {
min = this.get(row, column);
}
}
}
return min;
}
default:
throw new Error(`invalid option: ${by}`);
}
}
minIndex() {
checkNonEmpty(this);
let v = this.get(0, 0);
let idx = [0, 0];
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
if (this.get(i, j) < v) {
v = this.get(i, j);
idx[0] = i;
idx[1] = j;
}
}
}
return idx;
}
maxRow(row) {
checkRowIndex(this, row);
if (this.isEmpty()) {
return NaN;
}
let v = this.get(row, 0);
for (let i = 1; i < this.columns; i++) {
if (this.get(row, i) > v) {
v = this.get(row, i);
}
}
return v;
}
maxRowIndex(row) {
checkRowIndex(this, row);
checkNonEmpty(this);
let v = this.get(row, 0);
let idx = [row, 0];
for (let i = 1; i < this.columns; i++) {
if (this.get(row, i) > v) {
v = this.get(row, i);
idx[1] = i;
}
}
return idx;
}
minRow(row) {
checkRowIndex(this, row);
if (this.isEmpty()) {
return NaN;
}
let v = this.get(row, 0);
for (let i = 1; i < this.columns; i++) {
if (this.get(row, i) < v) {
v = this.get(row, i);
}
}
return v;
}
minRowIndex(row) {
checkRowIndex(this, row);
checkNonEmpty(this);
let v = this.get(row, 0);
let idx = [row, 0];
for (let i = 1; i < this.columns; i++) {
if (this.get(row, i) < v) {
v = this.get(row, i);
idx[1] = i;
}
}
return idx;
}
maxColumn(column) {
checkColumnIndex(this, column);
if (this.isEmpty()) {
return NaN;
}
let v = this.get(0, column);
for (let i = 1; i < this.rows; i++) {
if (this.get(i, column) > v) {
v = this.get(i, column);
}
}
return v;
}
maxColumnIndex(column) {
checkColumnIndex(this, column);
checkNonEmpty(this);
let v = this.get(0, column);
let idx = [0, column];
for (let i = 1; i < this.rows; i++) {
if (this.get(i, column) > v) {
v = this.get(i, column);
idx[0] = i;
}
}
return idx;
}
minColumn(column) {
checkColumnIndex(this, column);
if (this.isEmpty()) {
return NaN;
}
let v = this.get(0, column);
for (let i = 1; i < this.rows; i++) {
if (this.get(i, column) < v) {
v = this.get(i, column);
}
}
return v;
}
minColumnIndex(column) {
checkColumnIndex(this, column);
checkNonEmpty(this);
let v = this.get(0, column);
let idx = [0, column];
for (let i = 1; i < this.rows; i++) {
if (this.get(i, column) < v) {
v = this.get(i, column);
idx[0] = i;
}
}
return idx;
}
diag() {
let min = Math.min(this.rows, this.columns);
let diag = [];
for (let i = 0; i < min; i++) {
diag.push(this.get(i, i));
}
return diag;
}
norm() {
let type = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : 'frobenius';
let result = 0;
if (type === 'max') {
return this.max();
} else if (type === 'frobenius') {
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
result = result + this.get(i, j) * this.get(i, j);
}
}
return Math.sqrt(result);
} else {
throw new RangeError(`unknown norm type: ${type}`);
}
}
cumulativeSum() {
let sum = 0;
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
sum += this.get(i, j);
this.set(i, j, sum);
}
}
return this;
}
dot(vector2) {
if (AbstractMatrix.isMatrix(vector2)) vector2 = vector2.to1DArray();
let vector1 = this.to1DArray();
if (vector1.length !== vector2.length) {
throw new RangeError('vectors do not have the same size');
}
let dot = 0;
for (let i = 0; i < vector1.length; i++) {
dot += vector1[i] * vector2[i];
}
return dot;
}
mmul(other) {
other = Matrix$2.checkMatrix(other);
let m = this.rows;
let n = this.columns;
let p = other.columns;
let result = new Matrix$2(m, p);
let Bcolj = new Float64Array(n);
for (let j = 0; j < p; j++) {
for (let k = 0; k < n; k++) {
Bcolj[k] = other.get(k, j);
}
for (let i = 0; i < m; i++) {
let s = 0;
for (let k = 0; k < n; k++) {
s += this.get(i, k) * Bcolj[k];
}
result.set(i, j, s);
}
}
return result;
}
strassen2x2(other) {
other = Matrix$2.checkMatrix(other);
let result = new Matrix$2(2, 2);
const a11 = this.get(0, 0);
const b11 = other.get(0, 0);
const a12 = this.get(0, 1);
const b12 = other.get(0, 1);
const a21 = this.get(1, 0);
const b21 = other.get(1, 0);
const a22 = this.get(1, 1);
const b22 = other.get(1, 1); // Compute intermediate values.
const m1 = (a11 + a22) * (b11 + b22);
const m2 = (a21 + a22) * b11;
const m3 = a11 * (b12 - b22);
const m4 = a22 * (b21 - b11);
const m5 = (a11 + a12) * b22;
const m6 = (a21 - a11) * (b11 + b12);
const m7 = (a12 - a22) * (b21 + b22); // Combine intermediate values into the output.
const c00 = m1 + m4 - m5 + m7;
const c01 = m3 + m5;
const c10 = m2 + m4;
const c11 = m1 - m2 + m3 + m6;
result.set(0, 0, c00);
result.set(0, 1, c01);
result.set(1, 0, c10);
result.set(1, 1, c11);
return result;
}
strassen3x3(other) {
other = Matrix$2.checkMatrix(other);
let result = new Matrix$2(3, 3);
const a00 = this.get(0, 0);
const a01 = this.get(0, 1);
const a02 = this.get(0, 2);
const a10 = this.get(1, 0);
const a11 = this.get(1, 1);
const a12 = this.get(1, 2);
const a20 = this.get(2, 0);
const a21 = this.get(2, 1);
const a22 = this.get(2, 2);
const b00 = other.get(0, 0);
const b01 = other.get(0, 1);
const b02 = other.get(0, 2);
const b10 = other.get(1, 0);
const b11 = other.get(1, 1);
const b12 = other.get(1, 2);
const b20 = other.get(2, 0);
const b21 = other.get(2, 1);
const b22 = other.get(2, 2);
const m1 = (a00 + a01 + a02 - a10 - a11 - a21 - a22) * b11;
const m2 = (a00 - a10) * (-b01 + b11);
const m3 = a11 * (-b00 + b01 + b10 - b11 - b12 - b20 + b22);
const m4 = (-a00 + a10 + a11) * (b00 - b01 + b11);
const m5 = (a10 + a11) * (-b00 + b01);
const m6 = a00 * b00;
const m7 = (-a00 + a20 + a21) * (b00 - b02 + b12);
const m8 = (-a00 + a20) * (b02 - b12);
const m9 = (a20 + a21) * (-b00 + b02);
const m10 = (a00 + a01 + a02 - a11 - a12 - a20 - a21) * b12;
const m11 = a21 * (-b00 + b02 + b10 - b11 - b12 - b20 + b21);
const m12 = (-a02 + a21 + a22) * (b11 + b20 - b21);
const m13 = (a02 - a22) * (b11 - b21);
const m14 = a02 * b20;
const m15 = (a21 + a22) * (-b20 + b21);
const m16 = (-a02 + a11 + a12) * (b12 + b20 - b22);
const m17 = (a02 - a12) * (b12 - b22);
const m18 = (a11 + a12) * (-b20 + b22);
const m19 = a01 * b10;
const m20 = a12 * b21;
const m21 = a10 * b02;
const m22 = a20 * b01;
const m23 = a22 * b22;
const c00 = m6 + m14 + m19;
const c01 = m1 + m4 + m5 + m6 + m12 + m14 + m15;
const c02 = m6 + m7 + m9 + m10 + m14 + m16 + m18;
const c10 = m2 + m3 + m4 + m6 + m14 + m16 + m17;
const c11 = m2 + m4 + m5 + m6 + m20;
const c12 = m14 + m16 + m17 + m18 + m21;
const c20 = m6 + m7 + m8 + m11 + m12 + m13 + m14;
const c21 = m12 + m13 + m14 + m15 + m22;
const c22 = m6 + m7 + m8 + m9 + m23;
result.set(0, 0, c00);
result.set(0, 1, c01);
result.set(0, 2, c02);
result.set(1, 0, c10);
result.set(1, 1, c11);
result.set(1, 2, c12);
result.set(2, 0, c20);
result.set(2, 1, c21);
result.set(2, 2, c22);
return result;
}
mmulStrassen(y) {
y = Matrix$2.checkMatrix(y);
let x = this.clone();
let r1 = x.rows;
let c1 = x.columns;
let r2 = y.rows;
let c2 = y.columns;
if (c1 !== r2) {
// eslint-disable-next-line no-console
console.warn(`Multiplying ${r1} x ${c1} and ${r2} x ${c2} matrix: dimensions do not match.`);
} // Put a matrix into the top left of a matrix of zeros.
// `rows` and `cols` are the dimensions of the output matrix.
function embed(mat, rows, cols) {
let r = mat.rows;
let c = mat.columns;
if (r === rows && c === cols) {
return mat;
} else {
let resultat = AbstractMatrix.zeros(rows, cols);
resultat = resultat.setSubMatrix(mat, 0, 0);
return resultat;
}
} // Make sure both matrices are the same size.
// This is exclusively for simplicity:
// this algorithm can be implemented with matrices of different sizes.
let r = Math.max(r1, r2);
let c = Math.max(c1, c2);
x = embed(x, r, c);
y = embed(y, r, c); // Our recursive multiplication function.
function blockMult(a, b, rows, cols) {
// For small matrices, resort to naive multiplication.
if (rows <= 512 || cols <= 512) {
return a.mmul(b); // a is equivalent to this
} // Apply dynamic padding.
if (rows % 2 === 1 && cols % 2 === 1) {
a = embed(a, rows + 1, cols + 1);
b = embed(b, rows + 1, cols + 1);
} else if (rows % 2 === 1) {
a = embed(a, rows + 1, cols);
b = embed(b, rows + 1, cols);
} else if (cols % 2 === 1) {
a = embed(a, rows, cols + 1);
b = embed(b, rows, cols + 1);
}
let halfRows = parseInt(a.rows / 2, 10);
let halfCols = parseInt(a.columns / 2, 10); // Subdivide input matrices.
let a11 = a.subMatrix(0, halfRows - 1, 0, halfCols - 1);
let b11 = b.subMatrix(0, halfRows - 1, 0, halfCols - 1);
let a12 = a.subMatrix(0, halfRows - 1, halfCols, a.columns - 1);
let b12 = b.subMatrix(0, halfRows - 1, halfCols, b.columns - 1);
let a21 = a.subMatrix(halfRows, a.rows - 1, 0, halfCols - 1);
let b21 = b.subMatrix(halfRows, b.rows - 1, 0, halfCols - 1);
let a22 = a.subMatrix(halfRows, a.rows - 1, halfCols, a.columns - 1);
let b22 = b.subMatrix(halfRows, b.rows - 1, halfCols, b.columns - 1); // Compute intermediate values.
let m1 = blockMult(AbstractMatrix.add(a11, a22), AbstractMatrix.add(b11, b22), halfRows, halfCols);
let m2 = blockMult(AbstractMatrix.add(a21, a22), b11, halfRows, halfCols);
let m3 = blockMult(a11, AbstractMatrix.sub(b12, b22), halfRows, halfCols);
let m4 = blockMult(a22, AbstractMatrix.sub(b21, b11), halfRows, halfCols);
let m5 = blockMult(AbstractMatrix.add(a11, a12), b22, halfRows, halfCols);
let m6 = blockMult(AbstractMatrix.sub(a21, a11), AbstractMatrix.add(b11, b12), halfRows, halfCols);
let m7 = blockMult(AbstractMatrix.sub(a12, a22), AbstractMatrix.add(b21, b22), halfRows, halfCols); // Combine intermediate values into the output.
let c11 = AbstractMatrix.add(m1, m4);
c11.sub(m5);
c11.add(m7);
let c12 = AbstractMatrix.add(m3, m5);
let c21 = AbstractMatrix.add(m2, m4);
let c22 = AbstractMatrix.sub(m1, m2);
c22.add(m3);
c22.add(m6); // Crop output to the desired size (undo dynamic padding).
let resultat = AbstractMatrix.zeros(2 * c11.rows, 2 * c11.columns);
resultat = resultat.setSubMatrix(c11, 0, 0);
resultat = resultat.setSubMatrix(c12, c11.rows, 0);
resultat = resultat.setSubMatrix(c21, 0, c11.columns);
resultat = resultat.setSubMatrix(c22, c11.rows, c11.columns);
return resultat.subMatrix(0, rows - 1, 0, cols - 1);
}
return blockMult(x, y, r, c);
}
scaleRows() {
let options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};
if (typeof options !== 'object') {
throw new TypeError('options must be an object');
}
const {
min = 0,
max = 1
} = options;
if (!Number.isFinite(min)) throw new TypeError('min must be a number');
if (!Number.isFinite(max)) throw new TypeError('max must be a number');
if (min >= max) throw new RangeError('min must be smaller than max');
let newMatrix = new Matrix$2(this.rows, this.columns);
for (let i = 0; i < this.rows; i++) {
const row = this.getRow(i);
if (row.length > 0) {
rescale(row, {
min,
max,
output: row
});
}
newMatrix.setRow(i, row);
}
return newMatrix;
}
scaleColumns() {
let options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};
if (typeof options !== 'object') {
throw new TypeError('options must be an object');
}
const {
min = 0,
max = 1
} = options;
if (!Number.isFinite(min)) throw new TypeError('min must be a number');
if (!Number.isFinite(max)) throw new TypeError('max must be a number');
if (min >= max) throw new RangeError('min must be smaller than max');
let newMatrix = new Matrix$2(this.rows, this.columns);
for (let i = 0; i < this.columns; i++) {
const column = this.getColumn(i);
if (column.length) {
rescale(column, {
min: min,
max: max,
output: column
});
}
newMatrix.setColumn(i, column);
}
return newMatrix;
}
flipRows() {
const middle = Math.ceil(this.columns / 2);
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < middle; j++) {
let first = this.get(i, j);
let last = this.get(i, this.columns - 1 - j);
this.set(i, j, last);
this.set(i, this.columns - 1 - j, first);
}
}
return this;
}
flipColumns() {
const middle = Math.ceil(this.rows / 2);
for (let j = 0; j < this.columns; j++) {
for (let i = 0; i < middle; i++) {
let first = this.get(i, j);
let last = this.get(this.rows - 1 - i, j);
this.set(i, j, last);
this.set(this.rows - 1 - i, j, first);
}
}
return this;
}
kroneckerProduct(other) {
other = Matrix$2.checkMatrix(other);
let m = this.rows;
let n = this.columns;
let p = other.rows;
let q = other.columns;
let result = new Matrix$2(m * p, n * q);
for (let i = 0; i < m; i++) {
for (let j = 0; j < n; j++) {
for (let k = 0; k < p; k++) {
for (let l = 0; l < q; l++) {
result.set(p * i + k, q * j + l, this.get(i, j) * other.get(k, l));
}
}
}
}
return result;
}
kroneckerSum(other) {
other = Matrix$2.checkMatrix(other);
if (!this.isSquare() || !other.isSquare()) {
throw new Error('Kronecker Sum needs two Square Matrices');
}
let m = this.rows;
let n = other.rows;
let AxI = this.kroneckerProduct(Matrix$2.eye(n, n));
let IxB = Matrix$2.eye(m, m).kroneckerProduct(other);
return AxI.add(IxB);
}
transpose() {
let result = new Matrix$2(this.columns, this.rows);
for (let i = 0; i < this.rows; i++) {
for (let j = 0; j < this.columns; j++) {
result.set(j, i, this.get(i, j));
}
}
return result;
}
sortRows() {
let compareFunction = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : compareNumbers;
for (let i = 0; i < this.rows; i++) {
this.setRow(i, this.getRow(i).sort(compareFunction));
}
return this;
}
sortColumns() {
let compareFunction = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : compareNumbers;
for (let i = 0; i < this.columns; i++) {
this.setColumn(i, this.getColumn(i).sort(compareFunction));
}
return this;
}
subMatrix(startRow, endRow, startColumn, endColumn) {
checkRange(this, startRow, endRow, startColumn, endColumn);
let newMatrix = new Matrix$2(endRow - startRow + 1, endColumn - startColumn + 1);
for (let i = startRow; i <= endRow; i++) {
for (let j = startColumn; j <= endColumn; j++) {
newMatrix.set(i - startRow, j - startColumn, this.get(i, j));
}
}
return newMatrix;
}
subMatrixRow(indices, startColumn, endColumn) {
if (startColumn === undefined) startColumn = 0;
if (endColumn === undefined) endColumn = this.columns - 1;
if (startColumn > endColumn || startColumn < 0 || startColumn >= this.columns || endColumn < 0 || endColumn >= this.columns) {
throw new RangeError('Argument out of range');
}
let newMatrix = new Matrix$2(indices.length, endColumn - startColumn + 1);
for (let i = 0; i < indices.length; i++) {
for (let j = startColumn; j <= endColumn; j++) {
if (indices[i] < 0 || indices[i] >= this.rows) {
throw new RangeError(`Row index out of range: ${indices[i]}`);
}
newMatrix.set(i, j - startColumn, this.get(indices[i], j));
}
}
return newMatrix;
}
subMatrixColumn(indices, startRow, endRow) {
if (startRow === undefined) startRow = 0;
if (endRow === undefined) endRow = this.rows - 1;
if (startRow > endRow || startRow < 0 || startRow >= this.rows || endRow < 0 || endRow >= this.rows) {
throw new RangeError('Argument out of range');
}
let newMatrix = new Matrix$2(endRow - startRow + 1, indices.length);
for (let i = 0; i < indices.length; i++) {
for (let j = startRow; j <= endRow; j++) {
if (indices[i] < 0 || indices[i] >= this.columns) {
throw new RangeError(`Column index out of range: ${indices[i]}`);
}
newMatrix.set(j - startRow, i, this.get(j, indices[i]));
}
}
return newMatrix;
}
setSubMatrix(matrix, startRow, startColumn) {
matrix = Matrix$2.checkMatrix(matrix);
if (matrix.isEmpty()) {
return this;
}
let endRow = startRow + matrix.rows - 1;
let endColumn = startColumn + matrix.columns - 1;
checkRange(this, startRow, endRow, startColumn, endColumn);
for (let i = 0; i < matrix.rows; i++) {
for (let j = 0; j < matrix.columns; j++) {
this.set(startRow + i, startColumn + j, matrix.get(i, j));
}
}
return this;
}
selection(rowIndices, columnIndices) {
checkRowIndices(this, rowIndices);
checkColumnIndices(this, columnIndices);
let newMatrix = new Matrix$2(rowIndices.length, columnIndices.length);
for (let i = 0; i < rowIndices.length; i++) {
let rowIndex = rowIndices[i];
for (let j = 0; j < columnIndices.length; j++) {
let columnIndex = columnIndices[j];
newMatrix.set(i, j, this.get(rowIndex, columnIndex));
}
}
return newMatrix;
}
trace() {
let min = Math.min(this.rows, this.columns);
let trace = 0;
for (let i = 0; i < min; i++) {
trace += this.get(i, i);
}
return trace;
}
clone() {
let newMatrix = new Matrix$2(this.rows, this.columns);
for (let row = 0; row < this.rows; row++) {
for (let column = 0; column < this.columns; column++) {
newMatrix.set(row, column, this.get(row, column));
}
}
return newMatrix;
}
sum(by) {
switch (by) {
case 'row':
return sumByRow(this);
case 'column':
return sumByColumn(this);
case undefined:
return sumAll(this);
default:
throw new Error(`invalid option: ${by}`);
}
}
product(by) {
switch (by) {
case 'row':
return productByRow(this);
case 'column':
return productByColumn(this);
case undefined:
return productAll(this);
default:
throw new Error(`invalid option: ${by}`);
}
}
mean(by) {
const sum = this.sum(by);
switch (by) {
case 'row':
{
for (let i = 0; i < this.rows; i++) {
sum[i] /= this.columns;
}
return sum;
}
case 'column':
{
for (let i = 0; i < this.columns; i++) {
sum[i] /= this.rows;
}
return sum;
}
case undefined:
return sum / this.size;
default:
throw new Error(`invalid option: ${by}`);
}
}
variance(by) {
let options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
if (typeof by === 'object') {
options = by;
by = undefined;
}
if (typeof options !== 'object') {
throw new TypeError('options must be an object');
}
const {
unbiased = true,
mean = this.mean(by)
} = options;
if (typeof unbiased !== 'boolean') {
throw new TypeError('unbiased must be a boolean');
}
switch (by) {
case 'row':
{
if (!isAnyArray(mean)) {
throw new TypeError('mean must be an array');
}
return varianceByRow(this, unbiased, mean);
}
case 'column':
{
if (!isAnyArray(mean)) {
throw new TypeError('mean must be an array');
}
return varianceByColumn(this, unbiased, mean);
}
case undefined:
{
if (typeof mean !== 'number') {
throw new TypeError('mean must be a number');
}
return varianceAll(this, unbiased, mean);
}
default:
throw new Error(`invalid option: ${by}`);
}
}
standardDeviation(by, options) {
if (typeof by === 'object') {
options = by;
by = undefined;
}
const variance = this.variance(by, options);
if (by === undefined) {
return Math.sqrt(variance);
} else {
for (let i = 0; i < variance.length; i++) {
variance[i] = Math.sqrt(variance[i]);
}
return variance;
}
}
center(by) {
let options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
if (typeof by === 'object') {
options = by;
by = undefined;
}
if (typeof options !== 'object') {
throw new TypeError('options must be an object');
}
const {
center = this.mean(by)
} = options;
switch (by) {
case 'row':
{
if (!isAnyArray(center)) {
throw new TypeError('center must be an array');
}
centerByRow(this, center);
return this;
}
case 'column':
{
if (!isAnyArray(center)) {
throw new TypeError('center must be an array');
}
centerByColumn(this, center);
return this;
}
case undefined:
{
if (typeof center !== 'number') {
throw new TypeError('center must be a number');
}
centerAll(this, center);
return this;
}
default:
throw new Error(`invalid option: ${by}`);
}
}
scale(by) {
let options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
if (typeof by === 'object') {
options = by;
by = undefined;
}
if (typeof options !== 'object') {
throw new TypeError('options must be an object');
}
let scale = options.scale;
switch (by) {
case 'row':
{
if (scale === undefined) {
scale = getScaleByRow(this);
} else if (!isAnyArray(scale)) {
throw new TypeError('scale must be an array');
}
scaleByRow(this, scale);
return this;
}
case 'column':
{
if (scale === undefined) {
scale = getScaleByColumn(this);
} else if (!isAnyArray(scale)) {
throw new TypeError('scale must be an array');
}
scaleByColumn(this, scale);
return this;
}
case undefined:
{
if (scale === undefined) {
scale = getScaleAll(this);
} else if (typeof scale !== 'number') {
throw new TypeError('scale must be a number');
}
scaleAll(this, scale);
return this;
}
default:
throw new Error(`invalid option: ${by}`);
}
}
toString(options) {
return inspectMatrixWithOptions(this, options);
}
}
AbstractMatrix.prototype.klass = 'Matrix';
if (typeof Symbol !== 'undefined') {
AbstractMatrix.prototype[Symbol.for('nodejs.util.inspect.custom')] = inspectMatrix;
}
function compareNumbers(a, b) {
return a - b;
}
function isArrayOfNumbers(array) {
return array.every(element => {
return typeof element === 'number';
});
} // Synonyms
AbstractMatrix.random = AbstractMatrix.rand;
AbstractMatrix.randomInt = AbstractMatrix.randInt;
AbstractMatrix.diagonal = AbstractMatrix.diag;
AbstractMatrix.prototype.diagonal = AbstractMatrix.prototype.diag;
AbstractMatrix.identity = AbstractMatrix.eye;
AbstractMatrix.prototype.negate = AbstractMatrix.prototype.neg;
AbstractMatrix.prototype.tensorProduct = AbstractMatrix.prototype.kroneckerProduct;
class Matrix$2 extends AbstractMatrix {
constructor(nRows, nColumns) {
super();
if (Matrix$2.isMatrix(nRows)) {
// eslint-disable-next-line no-constructor-return
return nRows.clone();
} else if (Number.isInteger(nRows) && nRows >= 0) {
// Create an empty matrix
this.data = [];
if (Number.isInteger(nColumns) && nColumns >= 0) {
for (let i = 0; i < nRows; i++) {
this.data.push(new Float64Array(nColumns));
}
} else {
throw new TypeError('nColumns must be a positive integer');
}
} else if (isAnyArray(nRows)) {
// Copy the values from the 2D array
const arrayData = nRows;
nRows = arrayData.length;
nColumns = nRows ? arrayData[0].length : 0;
if (typeof nColumns !== 'number') {
throw new TypeError('Data must be a 2D array with at least one element');
}
this.data = [];
for (let i = 0; i < nRows; i++) {
if (arrayData[i].length !== nColumns) {
throw new RangeError('Inconsistent array dimensions');
}
if (!isArrayOfNumbers(arrayData[i])) {
throw new TypeError('Input data contains non-numeric values');
}
this.data.push(Float64Array.from(arrayData[i]));
}
} else {
throw new TypeError('First argument must be a positive number or an array');
}
this.rows = nRows;
this.columns = nColumns;
}
set(rowIndex, columnIndex, value) {
this.data[rowIndex][columnIndex] = value;
return this;
}
get(rowIndex, columnIndex) {
return this.data[rowIndex][columnIndex];
}
removeRow(index) {
checkRowIndex(this, index);
this.data.splice(index, 1);
this.rows -= 1;
return this;
}
addRow(index, array) {
if (array === undefined) {
array = index;
index = this.rows;
}
checkRowIndex(this, index, true);
array = Float64Array.from(checkRowVector(this, array));
this.data.splice(index, 0, array);
this.rows += 1;
return this;
}
removeColumn(index) {
checkColumnIndex(this, index);
for (let i = 0; i < this.rows; i++) {
const newRow = new Float64Array(this.columns - 1);
for (let j = 0; j < index; j++) {
newRow[j] = this.data[i][j];
}
for (let j = index + 1; j < this.columns; j++) {
newRow[j - 1] = this.data[i][j];
}
this.data[i] = newRow;
}
this.columns -= 1;
return this;
}
addColumn(index, array) {
if (typeof array === 'undefined') {
array = index;
index = this.columns;
}
checkColumnIndex(this, index, true);
array = checkColumnVector(this, array);
for (let i = 0; i < this.rows; i++) {
const newRow = new Float64Array(this.columns + 1);
let j = 0;
for (; j < index; j++) {
newRow[j] = this.data[i][j];
}
newRow[j++] = array[i];
for (; j < this.columns + 1; j++) {
newRow[j] = this.data[i][j - 1];
}
this.data[i] = newRow;
}
this.columns += 1;
return this;
}
}
installMathOperations(AbstractMatrix, Matrix$2);
class BaseView extends AbstractMatrix {
constructor(matrix, rows, columns) {
super();
this.matrix = matrix;
this.rows = rows;
this.columns = columns;
}
}
class MatrixColumnView extends BaseView {
constructor(matrix, column) {
checkColumnIndex(matrix, column);
super(matrix, matrix.rows, 1);
this.column = column;
}
set(rowIndex, columnIndex, value) {
this.matrix.set(rowIndex, this.column, value);
return this;
}
get(rowIndex) {
return this.matrix.get(rowIndex, this.column);
}
}
class MatrixColumnSelectionView extends BaseView {
constructor(matrix, columnIndices) {
checkColumnIndices(matrix, columnIndices);
super(matrix, matrix.rows, columnIndices.length);
this.columnIndices = columnIndices;
}
set(rowIndex, columnIndex, value) {
this.matrix.set(rowIndex, this.columnIndices[columnIndex], value);
return this;
}
get(rowIndex, columnIndex) {
return this.matrix.get(rowIndex, this.columnIndices[columnIndex]);
}
}
class MatrixFlipColumnView extends BaseView {
constructor(matrix) {
super(matrix, matrix.rows, matrix.columns);
}
set(rowIndex, columnIndex, value) {
this.matrix.set(rowIndex, this.columns - columnIndex - 1, value);
return this;
}
get(rowIndex, columnIndex) {
return this.matrix.get(rowIndex, this.columns - columnIndex - 1);
}
}
class MatrixFlipRowView extends BaseView {
constructor(matrix) {
super(matrix, matrix.rows, matrix.columns);
}
set(rowIndex, columnIndex, value) {
this.matrix.set(this.rows - rowIndex - 1, columnIndex, value);
return this;
}
get(rowIndex, columnIndex) {
return this.matrix.get(this.rows - rowIndex - 1, columnIndex);
}
}
class MatrixRowView extends BaseView {
constructor(matrix, row) {
checkRowIndex(matrix, row);
super(matrix, 1, matrix.columns);
this.row = row;
}
set(rowIndex, columnIndex, value) {
this.matrix.set(this.row, columnIndex, value);
return this;
}
get(rowIndex, columnIndex) {
return this.matrix.get(this.row, columnIndex);
}
}
class MatrixRowSelectionView extends BaseView {
constructor(matrix, rowIndices) {
checkRowIndices(matrix, rowIndices);
super(matrix, rowIndices.length, matrix.columns);
this.rowIndices = rowIndices;
}
set(rowIndex, columnIndex, value) {
this.matrix.set(this.rowIndices[rowIndex], columnIndex, value);
return this;
}
get(rowIndex, columnIndex) {
return this.matrix.get(this.rowIndices[rowIndex], columnIndex);
}
}
class MatrixSelectionView extends BaseView {
constructor(matrix, rowIndices, columnIndices) {
checkRowIndices(matrix, rowIndices);
checkColumnIndices(matrix, columnIndices);
super(matrix, rowIndices.length, columnIndices.length);
this.rowIndices = rowIndices;
this.columnIndices = columnIndices;
}
set(rowIndex, columnIndex, value) {
this.matrix.set(this.rowIndices[rowIndex], this.columnIndices[columnIndex], value);
return this;
}
get(rowIndex, columnIndex) {
return this.matrix.get(this.rowIndices[rowIndex], this.columnIndices[columnIndex]);
}
}
class MatrixSubView extends BaseView {
constructor(matrix, startRow, endRow, startColumn, endColumn) {
checkRange(matrix, startRow, endRow, startColumn, endColumn);
super(matrix, endRow - startRow + 1, endColumn - startColumn + 1);
this.startRow = startRow;
this.startColumn = startColumn;
}
set(rowIndex, columnIndex, value) {
this.matrix.set(this.startRow + rowIndex, this.startColumn + columnIndex, value);
return this;
}
get(rowIndex, columnIndex) {
return this.matrix.get(this.startRow + rowIndex, this.startColumn + columnIndex);
}
}
class MatrixTransposeView$1 extends BaseView {
constructor(matrix) {
super(matrix, matrix.columns, matrix.rows);
}
set(rowIndex, columnIndex, value) {
this.matrix.set(columnIndex, rowIndex, value);
return this;
}
get(rowIndex, columnIndex) {
return this.matrix.get(columnIndex, rowIndex);
}
}
class WrapperMatrix1D extends AbstractMatrix {
constructor(data) {
let options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
const {
rows = 1
} = options;
if (data.length % rows !== 0) {
throw new Error('the data length is not divisible by the number of rows');
}
super();
this.rows = rows;
this.columns = data.length / rows;
this.data = data;
}
set(rowIndex, columnIndex, value) {
let index = this._calculateIndex(rowIndex, columnIndex);
this.data[index] = value;
return this;
}
get(rowIndex, columnIndex) {
let index = this._calculateIndex(rowIndex, columnIndex);
return this.data[index];
}
_calculateIndex(row, column) {
return row * this.columns + column;
}
}
class WrapperMatrix2D extends AbstractMatrix {
constructor(data) {
super();
this.data = data;
this.rows = data.length;
this.columns = data[0].length;
}
set(rowIndex, columnIndex, value) {
this.data[rowIndex][columnIndex] = value;
return this;
}
get(rowIndex, columnIndex) {
return this.data[rowIndex][columnIndex];
}
}
function wrap(array, options) {
if (isAnyArray(array)) {
if (array[0] && isAnyArray(array[0])) {
return new WrapperMatrix2D(array);
} else {
return new WrapperMatrix1D(array, options);
}
} else {
throw new Error('the argument is not an array');
}
}
class LuDecomposition {
constructor(matrix) {
matrix = WrapperMatrix2D.checkMatrix(matrix);
let lu = matrix.clone();
let rows = lu.rows;
let columns = lu.columns;
let pivotVector = new Float64Array(rows);
let pivotSign = 1;
let i, j, k, p, s, t, v;
let LUcolj, kmax;
for (i = 0; i < rows; i++) {
pivotVector[i] = i;
}
LUcolj = new Float64Array(rows);
for (j = 0; j < columns; j++) {
for (i = 0; i < rows; i++) {
LUcolj[i] = lu.get(i, j);
}
for (i = 0; i < rows; i++) {
kmax = Math.min(i, j);
s = 0;
for (k = 0; k < kmax; k++) {
s += lu.get(i, k) * LUcolj[k];
}
LUcolj[i] -= s;
lu.set(i, j, LUcolj[i]);
}
p = j;
for (i = j + 1; i < rows; i++) {
if (Math.abs(LUcolj[i]) > Math.abs(LUcolj[p])) {
p = i;
}
}
if (p !== j) {
for (k = 0; k < columns; k++) {
t = lu.get(p, k);
lu.set(p, k, lu.get(j, k));
lu.set(j, k, t);
}
v = pivotVector[p];
pivotVector[p] = pivotVector[j];
pivotVector[j] = v;
pivotSign = -pivotSign;
}
if (j < rows && lu.get(j, j) !== 0) {
for (i = j + 1; i < rows; i++) {
lu.set(i, j, lu.get(i, j) / lu.get(j, j));
}
}
}
this.LU = lu;
this.pivotVector = pivotVector;
this.pivotSign = pivotSign;
}
isSingular() {
let data = this.LU;
let col = data.columns;
for (let j = 0; j < col; j++) {
if (data.get(j, j) === 0) {
return true;
}
}
return false;
}
solve(value) {
value = Matrix$2.checkMatrix(value);
let lu = this.LU;
let rows = lu.rows;
if (rows !== value.rows) {
throw new Error('Invalid matrix dimensions');
}
if (this.isSingular()) {
throw new Error('LU matrix is singular');
}
let count = value.columns;
let X = value.subMatrixRow(this.pivotVector, 0, count - 1);
let columns = lu.columns;
let i, j, k;
for (k = 0; k < columns; k++) {
for (i = k + 1; i < columns; i++) {
for (j = 0; j < count; j++) {
X.set(i, j, X.get(i, j) - X.get(k, j) * lu.get(i, k));
}
}
}
for (k = columns - 1; k >= 0; k--) {
for (j = 0; j < count; j++) {
X.set(k, j, X.get(k, j) / lu.get(k, k));
}
for (i = 0; i < k; i++) {
for (j = 0; j < count; j++) {
X.set(i, j, X.get(i, j) - X.get(k, j) * lu.get(i, k));
}
}
}
return X;
}
get determinant() {
let data = this.LU;
if (!data.isSquare()) {
throw new Error('Matrix must be square');
}
let determinant = this.pivotSign;
let col = data.columns;
for (let j = 0; j < col; j++) {
determinant *= data.get(j, j);
}
return determinant;
}
get lowerTriangularMatrix() {
let data = this.LU;
let rows = data.rows;
let columns = data.columns;
let X = new Matrix$2(rows, columns);
for (let i = 0; i < rows; i++) {
for (let j = 0; j < columns; j++) {
if (i > j) {
X.set(i, j, data.get(i, j));
} else if (i === j) {
X.set(i, j, 1);
} else {
X.set(i, j, 0);
}
}
}
return X;
}
get upperTriangularMatrix() {
let data = this.LU;
let rows = data.rows;
let columns = data.columns;
let X = new Matrix$2(rows, columns);
for (let i = 0; i < rows; i++) {
for (let j = 0; j < columns; j++) {
if (i <= j) {
X.set(i, j, data.get(i, j));
} else {
X.set(i, j, 0);
}
}
}
return X;
}
get pivotPermutationVector() {
return Array.from(this.pivotVector);
}
}
function hypotenuse$1(a, b) {
let r = 0;
if (Math.abs(a) > Math.abs(b)) {
r = b / a;
return Math.abs(a) * Math.sqrt(1 + r * r);
}
if (b !== 0) {
r = a / b;
return Math.abs(b) * Math.sqrt(1 + r * r);
}
return 0;
}
class QrDecomposition {
constructor(value) {
value = WrapperMatrix2D.checkMatrix(value);
let qr = value.clone();
let m = value.rows;
let n = value.columns;
let rdiag = new Float64Array(n);
let i, j, k, s;
for (k = 0; k < n; k++) {
let nrm = 0;
for (i = k; i < m; i++) {
nrm = hypotenuse$1(nrm, qr.get(i, k));
}
if (nrm !== 0) {
if (qr.get(k, k) < 0) {
nrm = -nrm;
}
for (i = k; i < m; i++) {
qr.set(i, k, qr.get(i, k) / nrm);
}
qr.set(k, k, qr.get(k, k) + 1);
for (j = k + 1; j < n; j++) {
s = 0;
for (i = k; i < m; i++) {
s += qr.get(i, k) * qr.get(i, j);
}
s = -s / qr.get(k, k);
for (i = k; i < m; i++) {
qr.set(i, j, qr.get(i, j) + s * qr.get(i, k));
}
}
}
rdiag[k] = -nrm;
}
this.QR = qr;
this.Rdiag = rdiag;
}
solve(value) {
value = Matrix$2.checkMatrix(value);
let qr = this.QR;
let m = qr.rows;
if (value.rows !== m) {
throw new Error('Matrix row dimensions must agree');
}
if (!this.isFullRank()) {
throw new Error('Matrix is rank deficient');
}
let count = value.columns;
let X = value.clone();
let n = qr.columns;
let i, j, k, s;
for (k = 0; k < n; k++) {
for (j = 0; j < count; j++) {
s = 0;
for (i = k; i < m; i++) {
s += qr.get(i, k) * X.get(i, j);
}
s = -s / qr.get(k, k);
for (i = k; i < m; i++) {
X.set(i, j, X.get(i, j) + s * qr.get(i, k));
}
}
}
for (k = n - 1; k >= 0; k--) {
for (j = 0; j < count; j++) {
X.set(k, j, X.get(k, j) / this.Rdiag[k]);
}
for (i = 0; i < k; i++) {
for (j = 0; j < count; j++) {
X.set(i, j, X.get(i, j) - X.get(k, j) * qr.get(i, k));
}
}
}
return X.subMatrix(0, n - 1, 0, count - 1);
}
isFullRank() {
let columns = this.QR.columns;
for (let i = 0; i < columns; i++) {
if (this.Rdiag[i] === 0) {
return false;
}
}
return true;
}
get upperTriangularMatrix() {
let qr = this.QR;
let n = qr.columns;
let X = new Matrix$2(n, n);
let i, j;
for (i = 0; i < n; i++) {
for (j = 0; j < n; j++) {
if (i < j) {
X.set(i, j, qr.get(i, j));
} else if (i === j) {
X.set(i, j, this.Rdiag[i]);
} else {
X.set(i, j, 0);
}
}
}
return X;
}
get orthogonalMatrix() {
let qr = this.QR;
let rows = qr.rows;
let columns = qr.columns;
let X = new Matrix$2(rows, columns);
let i, j, k, s;
for (k = columns - 1; k >= 0; k--) {
for (i = 0; i < rows; i++) {
X.set(i, k, 0);
}
X.set(k, k, 1);
for (j = k; j < columns; j++) {
if (qr.get(k, k) !== 0) {
s = 0;
for (i = k; i < rows; i++) {
s += qr.get(i, k) * X.get(i, j);
}
s = -s / qr.get(k, k);
for (i = k; i < rows; i++) {
X.set(i, j, X.get(i, j) + s * qr.get(i, k));
}
}
}
}
return X;
}
}
class SingularValueDecomposition {
constructor(value) {
let options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
value = WrapperMatrix2D.checkMatrix(value);
if (value.isEmpty()) {
throw new Error('Matrix must be non-empty');
}
let m = value.rows;
let n = value.columns;
const {
computeLeftSingularVectors = true,
computeRightSingularVectors = true,
autoTranspose = false
} = options;
let wantu = Boolean(computeLeftSingularVectors);
let wantv = Boolean(computeRightSingularVectors);
let swapped = false;
let a;
if (m < n) {
if (!autoTranspose) {
a = value.clone(); // eslint-disable-next-line no-console
console.warn('Computing SVD on a matrix with more columns than rows. Consider enabling autoTranspose');
} else {
a = value.transpose();
m = a.rows;
n = a.columns;
swapped = true;
let aux = wantu;
wantu = wantv;
wantv = aux;
}
} else {
a = value.clone();
}
let nu = Math.min(m, n);
let ni = Math.min(m + 1, n);
let s = new Float64Array(ni);
let U = new Matrix$2(m, nu);
let V = new Matrix$2(n, n);
let e = new Float64Array(n);
let work = new Float64Array(m);
let si = new Float64Array(ni);
for (let i = 0; i < ni; i++) si[i] = i;
let nct = Math.min(m - 1, n);
let nrt = Math.max(0, Math.min(n - 2, m));
let mrc = Math.max(nct, nrt);
for (let k = 0; k < mrc; k++) {
if (k < nct) {
s[k] = 0;
for (let i = k; i < m; i++) {
s[k] = hypotenuse$1(s[k], a.get(i, k));
}
if (s[k] !== 0) {
if (a.get(k, k) < 0) {
s[k] = -s[k];
}
for (let i = k; i < m; i++) {
a.set(i, k, a.get(i, k) / s[k]);
}
a.set(k, k, a.get(k, k) + 1);
}
s[k] = -s[k];
}
for (let j = k + 1; j < n; j++) {
if (k < nct && s[k] !== 0) {
let t = 0;
for (let i = k; i < m; i++) {
t += a.get(i, k) * a.get(i, j);
}
t = -t / a.get(k, k);
for (let i = k; i < m; i++) {
a.set(i, j, a.get(i, j) + t * a.get(i, k));
}
}
e[j] = a.get(k, j);
}
if (wantu && k < nct) {
for (let i = k; i < m; i++) {
U.set(i, k, a.get(i, k));
}
}
if (k < nrt) {
e[k] = 0;
for (let i = k + 1; i < n; i++) {
e[k] = hypotenuse$1(e[k], e[i]);
}
if (e[k] !== 0) {
if (e[k + 1] < 0) {
e[k] = 0 - e[k];
}
for (let i = k + 1; i < n; i++) {
e[i] /= e[k];
}
e[k + 1] += 1;
}
e[k] = -e[k];
if (k + 1 < m && e[k] !== 0) {
for (let i = k + 1; i < m; i++) {
work[i] = 0;
}
for (let i = k + 1; i < m; i++) {
for (let j = k + 1; j < n; j++) {
work[i] += e[j] * a.get(i, j);
}
}
for (let j = k + 1; j < n; j++) {
let t = -e[j] / e[k + 1];
for (let i = k + 1; i < m; i++) {
a.set(i, j, a.get(i, j) + t * work[i]);
}
}
}
if (wantv) {
for (let i = k + 1; i < n; i++) {
V.set(i, k, e[i]);
}
}
}
}
let p = Math.min(n, m + 1);
if (nct < n) {
s[nct] = a.get(nct, nct);
}
if (m < p) {
s[p - 1] = 0;
}
if (nrt + 1 < p) {
e[nrt] = a.get(nrt, p - 1);
}
e[p - 1] = 0;
if (wantu) {
for (let j = nct; j < nu; j++) {
for (let i = 0; i < m; i++) {
U.set(i, j, 0);
}
U.set(j, j, 1);
}
for (let k = nct - 1; k >= 0; k--) {
if (s[k] !== 0) {
for (let j = k + 1; j < nu; j++) {
let t = 0;
for (let i = k; i < m; i++) {
t += U.get(i, k) * U.get(i, j);
}
t = -t / U.get(k, k);
for (let i = k; i < m; i++) {
U.set(i, j, U.get(i, j) + t * U.get(i, k));
}
}
for (let i = k; i < m; i++) {
U.set(i, k, -U.get(i, k));
}
U.set(k, k, 1 + U.get(k, k));
for (let i = 0; i < k - 1; i++) {
U.set(i, k, 0);
}
} else {
for (let i = 0; i < m; i++) {
U.set(i, k, 0);
}
U.set(k, k, 1);
}
}
}
if (wantv) {
for (let k = n - 1; k >= 0; k--) {
if (k < nrt && e[k] !== 0) {
for (let j = k + 1; j < n; j++) {
let t = 0;
for (let i = k + 1; i < n; i++) {
t += V.get(i, k) * V.get(i, j);
}
t = -t / V.get(k + 1, k);
for (let i = k + 1; i < n; i++) {
V.set(i, j, V.get(i, j) + t * V.get(i, k));
}
}
}
for (let i = 0; i < n; i++) {
V.set(i, k, 0);
}
V.set(k, k, 1);
}
}
let pp = p - 1;
let eps = Number.EPSILON;
while (p > 0) {
let k, kase;
for (k = p - 2; k >= -1; k--) {
if (k === -1) {
break;
}
const alpha = Number.MIN_VALUE + eps * Math.abs(s[k] + Math.abs(s[k + 1]));
if (Math.abs(e[k]) <= alpha || Number.isNaN(e[k])) {
e[k] = 0;
break;
}
}
if (k === p - 2) {
kase = 4;
} else {
let ks;
for (ks = p - 1; ks >= k; ks--) {
if (ks === k) {
break;
}
let t = (ks !== p ? Math.abs(e[ks]) : 0) + (ks !== k + 1 ? Math.abs(e[ks - 1]) : 0);
if (Math.abs(s[ks]) <= eps * t) {
s[ks] = 0;
break;
}
}
if (ks === k) {
kase = 3;
} else if (ks === p - 1) {
kase = 1;
} else {
kase = 2;
k = ks;
}
}
k++;
switch (kase) {
case 1:
{
let f = e[p - 2];
e[p - 2] = 0;
for (let j = p - 2; j >= k; j--) {
let t = hypotenuse$1(s[j], f);
let cs = s[j] / t;
let sn = f / t;
s[j] = t;
if (j !== k) {
f = -sn * e[j - 1];
e[j - 1] = cs * e[j - 1];
}
if (wantv) {
for (let i = 0; i < n; i++) {
t = cs * V.get(i, j) + sn * V.get(i, p - 1);
V.set(i, p - 1, -sn * V.get(i, j) + cs * V.get(i, p - 1));
V.set(i, j, t);
}
}
}
break;
}
case 2:
{
let f = e[k - 1];
e[k - 1] = 0;
for (let j = k; j < p; j++) {
let t = hypotenuse$1(s[j], f);
let cs = s[j] / t;
let sn = f / t;
s[j] = t;
f = -sn * e[j];
e[j] = cs * e[j];
if (wantu) {
for (let i = 0; i < m; i++) {
t = cs * U.get(i, j) + sn * U.get(i, k - 1);
U.set(i, k - 1, -sn * U.get(i, j) + cs * U.get(i, k - 1));
U.set(i, j, t);
}
}
}
break;
}
case 3:
{
const scale = Math.max(Math.abs(s[p - 1]), Math.abs(s[p - 2]), Math.abs(e[p - 2]), Math.abs(s[k]), Math.abs(e[k]));
const sp = s[p - 1] / scale;
const spm1 = s[p - 2] / scale;
const epm1 = e[p - 2] / scale;
const sk = s[k] / scale;
const ek = e[k] / scale;
const b = ((spm1 + sp) * (spm1 - sp) + epm1 * epm1) / 2;
const c = sp * epm1 * (sp * epm1);
let shift = 0;
if (b !== 0 || c !== 0) {
if (b < 0) {
shift = 0 - Math.sqrt(b * b + c);
} else {
shift = Math.sqrt(b * b + c);
}
shift = c / (b + shift);
}
let f = (sk + sp) * (sk - sp) + shift;
let g = sk * ek;
for (let j = k; j < p - 1; j++) {
let t = hypotenuse$1(f, g);
if (t === 0) t = Number.MIN_VALUE;
let cs = f / t;
let sn = g / t;
if (j !== k) {
e[j - 1] = t;
}
f = cs * s[j] + sn * e[j];
e[j] = cs * e[j] - sn * s[j];
g = sn * s[j + 1];
s[j + 1] = cs * s[j + 1];
if (wantv) {
for (let i = 0; i < n; i++) {
t = cs * V.get(i, j) + sn * V.get(i, j + 1);
V.set(i, j + 1, -sn * V.get(i, j) + cs * V.get(i, j + 1));
V.set(i, j, t);
}
}
t = hypotenuse$1(f, g);
if (t === 0) t = Number.MIN_VALUE;
cs = f / t;
sn = g / t;
s[j] = t;
f = cs * e[j] + sn * s[j + 1];
s[j + 1] = -sn * e[j] + cs * s[j + 1];
g = sn * e[j + 1];
e[j + 1] = cs * e[j + 1];
if (wantu && j < m - 1) {
for (let i = 0; i < m; i++) {
t = cs * U.get(i, j) + sn * U.get(i, j + 1);
U.set(i, j + 1, -sn * U.get(i, j) + cs * U.get(i, j + 1));
U.set(i, j, t);
}
}
}
e[p - 2] = f;
break;
}
case 4:
{
if (s[k] <= 0) {
s[k] = s[k] < 0 ? -s[k] : 0;
if (wantv) {
for (let i = 0; i <= pp; i++) {
V.set(i, k, -V.get(i, k));
}
}
}
while (k < pp) {
if (s[k] >= s[k + 1]) {
break;
}
let t = s[k];
s[k] = s[k + 1];
s[k + 1] = t;
if (wantv && k < n - 1) {
for (let i = 0; i < n; i++) {
t = V.get(i, k + 1);
V.set(i, k + 1, V.get(i, k));
V.set(i, k, t);
}
}
if (wantu && k < m - 1) {
for (let i = 0; i < m; i++) {
t = U.get(i, k + 1);
U.set(i, k + 1, U.get(i, k));
U.set(i, k, t);
}
}
k++;
}
p--;
break;
}
// no default
}
}
if (swapped) {
let tmp = V;
V = U;
U = tmp;
}
this.m = m;
this.n = n;
this.s = s;
this.U = U;
this.V = V;
}
solve(value) {
let Y = value;
let e = this.threshold;
let scols = this.s.length;
let Ls = Matrix$2.zeros(scols, scols);
for (let i = 0; i < scols; i++) {
if (Math.abs(this.s[i]) <= e) {
Ls.set(i, i, 0);
} else {
Ls.set(i, i, 1 / this.s[i]);
}
}
let U = this.U;
let V = this.rightSingularVectors;
let VL = V.mmul(Ls);
let vrows = V.rows;
let urows = U.rows;
let VLU = Matrix$2.zeros(vrows, urows);
for (let i = 0; i < vrows; i++) {
for (let j = 0; j < urows; j++) {
let sum = 0;
for (let k = 0; k < scols; k++) {
sum += VL.get(i, k) * U.get(j, k);
}
VLU.set(i, j, sum);
}
}
return VLU.mmul(Y);
}
solveForDiagonal(value) {
return this.solve(Matrix$2.diag(value));
}
inverse() {
let V = this.V;
let e = this.threshold;
let vrows = V.rows;
let vcols = V.columns;
let X = new Matrix$2(vrows, this.s.length);
for (let i = 0; i < vrows; i++) {
for (let j = 0; j < vcols; j++) {
if (Math.abs(this.s[j]) > e) {
X.set(i, j, V.get(i, j) / this.s[j]);
}
}
}
let U = this.U;
let urows = U.rows;
let ucols = U.columns;
let Y = new Matrix$2(vrows, urows);
for (let i = 0; i < vrows; i++) {
for (let j = 0; j < urows; j++) {
let sum = 0;
for (let k = 0; k < ucols; k++) {
sum += X.get(i, k) * U.get(j, k);
}
Y.set(i, j, sum);
}
}
return Y;
}
get condition() {
return this.s[0] / this.s[Math.min(this.m, this.n) - 1];
}
get norm2() {
return this.s[0];
}
get rank() {
let tol = Math.max(this.m, this.n) * this.s[0] * Number.EPSILON;
let r = 0;
let s = this.s;
for (let i = 0, ii = s.length; i < ii; i++) {
if (s[i] > tol) {
r++;
}
}
return r;
}
get diagonal() {
return Array.from(this.s);
}
get threshold() {
return Number.EPSILON / 2 * Math.max(this.m, this.n) * this.s[0];
}
get leftSingularVectors() {
return this.U;
}
get rightSingularVectors() {
return this.V;
}
get diagonalMatrix() {
return Matrix$2.diag(this.s);
}
}
function inverse(matrix) {
let useSVD = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : false;
matrix = WrapperMatrix2D.checkMatrix(matrix);
if (useSVD) {
return new SingularValueDecomposition(matrix).inverse();
} else {
return solve(matrix, Matrix$2.eye(matrix.rows));
}
}
function solve(leftHandSide, rightHandSide) {
let useSVD = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : false;
leftHandSide = WrapperMatrix2D.checkMatrix(leftHandSide);
rightHandSide = WrapperMatrix2D.checkMatrix(rightHandSide);
if (useSVD) {
return new SingularValueDecomposition(leftHandSide).solve(rightHandSide);
} else {
return leftHandSide.isSquare() ? new LuDecomposition(leftHandSide).solve(rightHandSide) : new QrDecomposition(leftHandSide).solve(rightHandSide);
}
}
function determinant(matrix) {
matrix = Matrix$2.checkMatrix(matrix);
if (matrix.isSquare()) {
if (matrix.columns === 0) {
return 1;
}
let a, b, c, d;
if (matrix.columns === 2) {
// 2 x 2 matrix
a = matrix.get(0, 0);
b = matrix.get(0, 1);
c = matrix.get(1, 0);
d = matrix.get(1, 1);
return a * d - b * c;
} else if (matrix.columns === 3) {
// 3 x 3 matrix
let subMatrix0, subMatrix1, subMatrix2;
subMatrix0 = new MatrixSelectionView(matrix, [1, 2], [1, 2]);
subMatrix1 = new MatrixSelectionView(matrix, [1, 2], [0, 2]);
subMatrix2 = new MatrixSelectionView(matrix, [1, 2], [0, 1]);
a = matrix.get(0, 0);
b = matrix.get(0, 1);
c = matrix.get(0, 2);
return a * determinant(subMatrix0) - b * determinant(subMatrix1) + c * determinant(subMatrix2);
} else {
// general purpose determinant using the LU decomposition
return new LuDecomposition(matrix).determinant;
}
} else {
throw Error('determinant can only be calculated for a square matrix');
}
}
function xrange(n, exception) {
let range = [];
for (let i = 0; i < n; i++) {
if (i !== exception) {
range.push(i);
}
}
return range;
}
function dependenciesOneRow(error, matrix, index) {
let thresholdValue = arguments.length > 3 && arguments[3] !== undefined ? arguments[3] : 10e-10;
let thresholdError = arguments.length > 4 && arguments[4] !== undefined ? arguments[4] : 10e-10;
if (error > thresholdError) {
return new Array(matrix.rows + 1).fill(0);
} else {
let returnArray = matrix.addRow(index, [0]);
for (let i = 0; i < returnArray.rows; i++) {
if (Math.abs(returnArray.get(i, 0)) < thresholdValue) {
returnArray.set(i, 0, 0);
}
}
return returnArray.to1DArray();
}
}
function linearDependencies(matrix) {
let options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
const {
thresholdValue = 10e-10,
thresholdError = 10e-10
} = options;
matrix = Matrix$2.checkMatrix(matrix);
let n = matrix.rows;
let results = new Matrix$2(n, n);
for (let i = 0; i < n; i++) {
let b = Matrix$2.columnVector(matrix.getRow(i));
let Abis = matrix.subMatrixRow(xrange(n, i)).transpose();
let svd = new SingularValueDecomposition(Abis);
let x = svd.solve(b);
let error = Matrix$2.sub(b, Abis.mmul(x)).abs().max();
results.setRow(i, dependenciesOneRow(error, x, i, thresholdValue, thresholdError));
}
return results;
}
function pseudoInverse(matrix) {
let threshold = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : Number.EPSILON;
matrix = Matrix$2.checkMatrix(matrix);
if (matrix.isEmpty()) {
// with a zero dimension, the pseudo-inverse is the transpose, since all 0xn and nx0 matrices are singular
// (0xn)*(nx0)*(0xn) = 0xn
// (nx0)*(0xn)*(nx0) = nx0
return matrix.transpose();
}
let svdSolution = new SingularValueDecomposition(matrix, {
autoTranspose: true
});
let U = svdSolution.leftSingularVectors;
let V = svdSolution.rightSingularVectors;
let s = svdSolution.diagonal;
for (let i = 0; i < s.length; i++) {
if (Math.abs(s[i]) > threshold) {
s[i] = 1.0 / s[i];
} else {
s[i] = 0.0;
}
}
return V.mmul(Matrix$2.diag(s).mmul(U.transpose()));
}
function covariance(xMatrix) {
let yMatrix = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : xMatrix;
let options = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : {};
xMatrix = new Matrix$2(xMatrix);
let yIsSame = false;
if (typeof yMatrix === 'object' && !Matrix$2.isMatrix(yMatrix) && !isAnyArray(yMatrix)) {
options = yMatrix;
yMatrix = xMatrix;
yIsSame = true;
} else {
yMatrix = new Matrix$2(yMatrix);
}
if (xMatrix.rows !== yMatrix.rows) {
throw new TypeError('Both matrices must have the same number of rows');
}
const {
center = true
} = options;
if (center) {
xMatrix = xMatrix.center('column');
if (!yIsSame) {
yMatrix = yMatrix.center('column');
}
}
const cov = xMatrix.transpose().mmul(yMatrix);
for (let i = 0; i < cov.rows; i++) {
for (let j = 0; j < cov.columns; j++) {
cov.set(i, j, cov.get(i, j) * (1 / (xMatrix.rows - 1)));
}
}
return cov;
}
function correlation(xMatrix) {
let yMatrix = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : xMatrix;
let options = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : {};
xMatrix = new Matrix$2(xMatrix);
let yIsSame = false;
if (typeof yMatrix === 'object' && !Matrix$2.isMatrix(yMatrix) && !isAnyArray(yMatrix)) {
options = yMatrix;
yMatrix = xMatrix;
yIsSame = true;
} else {
yMatrix = new Matrix$2(yMatrix);
}
if (xMatrix.rows !== yMatrix.rows) {
throw new TypeError('Both matrices must have the same number of rows');
}
const {
center = true,
scale = true
} = options;
if (center) {
xMatrix.center('column');
if (!yIsSame) {
yMatrix.center('column');
}
}
if (scale) {
xMatrix.scale('column');
if (!yIsSame) {
yMatrix.scale('column');
}
}
const sdx = xMatrix.standardDeviation('column', {
unbiased: true
});
const sdy = yIsSame ? sdx : yMatrix.standardDeviation('column', {
unbiased: true
});
const corr = xMatrix.transpose().mmul(yMatrix);
for (let i = 0; i < corr.rows; i++) {
for (let j = 0; j < corr.columns; j++) {
corr.set(i, j, corr.get(i, j) * (1 / (sdx[i] * sdy[j])) * (1 / (xMatrix.rows - 1)));
}
}
return corr;
}
class EigenvalueDecomposition {
constructor(matrix) {
let options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
const {
assumeSymmetric = false
} = options;
matrix = WrapperMatrix2D.checkMatrix(matrix);
if (!matrix.isSquare()) {
throw new Error('Matrix is not a square matrix');
}
if (matrix.isEmpty()) {
throw new Error('Matrix must be non-empty');
}
let n = matrix.columns;
let V = new Matrix$2(n, n);
let d = new Float64Array(n);
let e = new Float64Array(n);
let value = matrix;
let i, j;
let isSymmetric = false;
if (assumeSymmetric) {
isSymmetric = true;
} else {
isSymmetric = matrix.isSymmetric();
}
if (isSymmetric) {
for (i = 0; i < n; i++) {
for (j = 0; j < n; j++) {
V.set(i, j, value.get(i, j));
}
}
tred2(n, e, d, V);
tql2(n, e, d, V);
} else {
let H = new Matrix$2(n, n);
let ort = new Float64Array(n);
for (j = 0; j < n; j++) {
for (i = 0; i < n; i++) {
H.set(i, j, value.get(i, j));
}
}
orthes(n, H, ort, V);
hqr2(n, e, d, V, H);
}
this.n = n;
this.e = e;
this.d = d;
this.V = V;
}
get realEigenvalues() {
return Array.from(this.d);
}
get imaginaryEigenvalues() {
return Array.from(this.e);
}
get eigenvectorMatrix() {
return this.V;
}
get diagonalMatrix() {
let n = this.n;
let e = this.e;
let d = this.d;
let X = new Matrix$2(n, n);
let i, j;
for (i = 0; i < n; i++) {
for (j = 0; j < n; j++) {
X.set(i, j, 0);
}
X.set(i, i, d[i]);
if (e[i] > 0) {
X.set(i, i + 1, e[i]);
} else if (e[i] < 0) {
X.set(i, i - 1, e[i]);
}
}
return X;
}
}
function tred2(n, e, d, V) {
let f, g, h, i, j, k, hh, scale;
for (j = 0; j < n; j++) {
d[j] = V.get(n - 1, j);
}
for (i = n - 1; i > 0; i--) {
scale = 0;
h = 0;
for (k = 0; k < i; k++) {
scale = scale + Math.abs(d[k]);
}
if (scale === 0) {
e[i] = d[i - 1];
for (j = 0; j < i; j++) {
d[j] = V.get(i - 1, j);
V.set(i, j, 0);
V.set(j, i, 0);
}
} else {
for (k = 0; k < i; k++) {
d[k] /= scale;
h += d[k] * d[k];
}
f = d[i - 1];
g = Math.sqrt(h);
if (f > 0) {
g = -g;
}
e[i] = scale * g;
h = h - f * g;
d[i - 1] = f - g;
for (j = 0; j < i; j++) {
e[j] = 0;
}
for (j = 0; j < i; j++) {
f = d[j];
V.set(j, i, f);
g = e[j] + V.get(j, j) * f;
for (k = j + 1; k <= i - 1; k++) {
g += V.get(k, j) * d[k];
e[k] += V.get(k, j) * f;
}
e[j] = g;
}
f = 0;
for (j = 0; j < i; j++) {
e[j] /= h;
f += e[j] * d[j];
}
hh = f / (h + h);
for (j = 0; j < i; j++) {
e[j] -= hh * d[j];
}
for (j = 0; j < i; j++) {
f = d[j];
g = e[j];
for (k = j; k <= i - 1; k++) {
V.set(k, j, V.get(k, j) - (f * e[k] + g * d[k]));
}
d[j] = V.get(i - 1, j);
V.set(i, j, 0);
}
}
d[i] = h;
}
for (i = 0; i < n - 1; i++) {
V.set(n - 1, i, V.get(i, i));
V.set(i, i, 1);
h = d[i + 1];
if (h !== 0) {
for (k = 0; k <= i; k++) {
d[k] = V.get(k, i + 1) / h;
}
for (j = 0; j <= i; j++) {
g = 0;
for (k = 0; k <= i; k++) {
g += V.get(k, i + 1) * V.get(k, j);
}
for (k = 0; k <= i; k++) {
V.set(k, j, V.get(k, j) - g * d[k]);
}
}
}
for (k = 0; k <= i; k++) {
V.set(k, i + 1, 0);
}
}
for (j = 0; j < n; j++) {
d[j] = V.get(n - 1, j);
V.set(n - 1, j, 0);
}
V.set(n - 1, n - 1, 1);
e[0] = 0;
}
function tql2(n, e, d, V) {
let g, h, i, j, k, l, m, p, r, dl1, c, c2, c3, el1, s, s2;
for (i = 1; i < n; i++) {
e[i - 1] = e[i];
}
e[n - 1] = 0;
let f = 0;
let tst1 = 0;
let eps = Number.EPSILON;
for (l = 0; l < n; l++) {
tst1 = Math.max(tst1, Math.abs(d[l]) + Math.abs(e[l]));
m = l;
while (m < n) {
if (Math.abs(e[m]) <= eps * tst1) {
break;
}
m++;
}
if (m > l) {
do {
g = d[l];
p = (d[l + 1] - g) / (2 * e[l]);
r = hypotenuse$1(p, 1);
if (p < 0) {
r = -r;
}
d[l] = e[l] / (p + r);
d[l + 1] = e[l] * (p + r);
dl1 = d[l + 1];
h = g - d[l];
for (i = l + 2; i < n; i++) {
d[i] -= h;
}
f = f + h;
p = d[m];
c = 1;
c2 = c;
c3 = c;
el1 = e[l + 1];
s = 0;
s2 = 0;
for (i = m - 1; i >= l; i--) {
c3 = c2;
c2 = c;
s2 = s;
g = c * e[i];
h = c * p;
r = hypotenuse$1(p, e[i]);
e[i + 1] = s * r;
s = e[i] / r;
c = p / r;
p = c * d[i] - s * g;
d[i + 1] = h + s * (c * g + s * d[i]);
for (k = 0; k < n; k++) {
h = V.get(k, i + 1);
V.set(k, i + 1, s * V.get(k, i) + c * h);
V.set(k, i, c * V.get(k, i) - s * h);
}
}
p = -s * s2 * c3 * el1 * e[l] / dl1;
e[l] = s * p;
d[l] = c * p;
} while (Math.abs(e[l]) > eps * tst1);
}
d[l] = d[l] + f;
e[l] = 0;
}
for (i = 0; i < n - 1; i++) {
k = i;
p = d[i];
for (j = i + 1; j < n; j++) {
if (d[j] < p) {
k = j;
p = d[j];
}
}
if (k !== i) {
d[k] = d[i];
d[i] = p;
for (j = 0; j < n; j++) {
p = V.get(j, i);
V.set(j, i, V.get(j, k));
V.set(j, k, p);
}
}
}
}
function orthes(n, H, ort, V) {
let low = 0;
let high = n - 1;
let f, g, h, i, j, m;
let scale;
for (m = low + 1; m <= high - 1; m++) {
scale = 0;
for (i = m; i <= high; i++) {
scale = scale + Math.abs(H.get(i, m - 1));
}
if (scale !== 0) {
h = 0;
for (i = high; i >= m; i--) {
ort[i] = H.get(i, m - 1) / scale;
h += ort[i] * ort[i];
}
g = Math.sqrt(h);
if (ort[m] > 0) {
g = -g;
}
h = h - ort[m] * g;
ort[m] = ort[m] - g;
for (j = m; j < n; j++) {
f = 0;
for (i = high; i >= m; i--) {
f += ort[i] * H.get(i, j);
}
f = f / h;
for (i = m; i <= high; i++) {
H.set(i, j, H.get(i, j) - f * ort[i]);
}
}
for (i = 0; i <= high; i++) {
f = 0;
for (j = high; j >= m; j--) {
f += ort[j] * H.get(i, j);
}
f = f / h;
for (j = m; j <= high; j++) {
H.set(i, j, H.get(i, j) - f * ort[j]);
}
}
ort[m] = scale * ort[m];
H.set(m, m - 1, scale * g);
}
}
for (i = 0; i < n; i++) {
for (j = 0; j < n; j++) {
V.set(i, j, i === j ? 1 : 0);
}
}
for (m = high - 1; m >= low + 1; m--) {
if (H.get(m, m - 1) !== 0) {
for (i = m + 1; i <= high; i++) {
ort[i] = H.get(i, m - 1);
}
for (j = m; j <= high; j++) {
g = 0;
for (i = m; i <= high; i++) {
g += ort[i] * V.get(i, j);
}
g = g / ort[m] / H.get(m, m - 1);
for (i = m; i <= high; i++) {
V.set(i, j, V.get(i, j) + g * ort[i]);
}
}
}
}
}
function hqr2(nn, e, d, V, H) {
let n = nn - 1;
let low = 0;
let high = nn - 1;
let eps = Number.EPSILON;
let exshift = 0;
let norm = 0;
let p = 0;
let q = 0;
let r = 0;
let s = 0;
let z = 0;
let iter = 0;
let i, j, k, l, m, t, w, x, y;
let ra, sa, vr, vi;
let notlast, cdivres;
for (i = 0; i < nn; i++) {
if (i < low || i > high) {
d[i] = H.get(i, i);
e[i] = 0;
}
for (j = Math.max(i - 1, 0); j < nn; j++) {
norm = norm + Math.abs(H.get(i, j));
}
}
while (n >= low) {
l = n;
while (l > low) {
s = Math.abs(H.get(l - 1, l - 1)) + Math.abs(H.get(l, l));
if (s === 0) {
s = norm;
}
if (Math.abs(H.get(l, l - 1)) < eps * s) {
break;
}
l--;
}
if (l === n) {
H.set(n, n, H.get(n, n) + exshift);
d[n] = H.get(n, n);
e[n] = 0;
n--;
iter = 0;
} else if (l === n - 1) {
w = H.get(n, n - 1) * H.get(n - 1, n);
p = (H.get(n - 1, n - 1) - H.get(n, n)) / 2;
q = p * p + w;
z = Math.sqrt(Math.abs(q));
H.set(n, n, H.get(n, n) + exshift);
H.set(n - 1, n - 1, H.get(n - 1, n - 1) + exshift);
x = H.get(n, n);
if (q >= 0) {
z = p >= 0 ? p + z : p - z;
d[n - 1] = x + z;
d[n] = d[n - 1];
if (z !== 0) {
d[n] = x - w / z;
}
e[n - 1] = 0;
e[n] = 0;
x = H.get(n, n - 1);
s = Math.abs(x) + Math.abs(z);
p = x / s;
q = z / s;
r = Math.sqrt(p * p + q * q);
p = p / r;
q = q / r;
for (j = n - 1; j < nn; j++) {
z = H.get(n - 1, j);
H.set(n - 1, j, q * z + p * H.get(n, j));
H.set(n, j, q * H.get(n, j) - p * z);
}
for (i = 0; i <= n; i++) {
z = H.get(i, n - 1);
H.set(i, n - 1, q * z + p * H.get(i, n));
H.set(i, n, q * H.get(i, n) - p * z);
}
for (i = low; i <= high; i++) {
z = V.get(i, n - 1);
V.set(i, n - 1, q * z + p * V.get(i, n));
V.set(i, n, q * V.get(i, n) - p * z);
}
} else {
d[n - 1] = x + p;
d[n] = x + p;
e[n - 1] = z;
e[n] = -z;
}
n = n - 2;
iter = 0;
} else {
x = H.get(n, n);
y = 0;
w = 0;
if (l < n) {
y = H.get(n - 1, n - 1);
w = H.get(n, n - 1) * H.get(n - 1, n);
}
if (iter === 10) {
exshift += x;
for (i = low; i <= n; i++) {
H.set(i, i, H.get(i, i) - x);
}
s = Math.abs(H.get(n, n - 1)) + Math.abs(H.get(n - 1, n - 2));
x = y = 0.75 * s;
w = -0.4375 * s * s;
}
if (iter === 30) {
s = (y - x) / 2;
s = s * s + w;
if (s > 0) {
s = Math.sqrt(s);
if (y < x) {
s = -s;
}
s = x - w / ((y - x) / 2 + s);
for (i = low; i <= n; i++) {
H.set(i, i, H.get(i, i) - s);
}
exshift += s;
x = y = w = 0.964;
}
}
iter = iter + 1;
m = n - 2;
while (m >= l) {
z = H.get(m, m);
r = x - z;
s = y - z;
p = (r * s - w) / H.get(m + 1, m) + H.get(m, m + 1);
q = H.get(m + 1, m + 1) - z - r - s;
r = H.get(m + 2, m + 1);
s = Math.abs(p) + Math.abs(q) + Math.abs(r);
p = p / s;
q = q / s;
r = r / s;
if (m === l) {
break;
}
if (Math.abs(H.get(m, m - 1)) * (Math.abs(q) + Math.abs(r)) < eps * (Math.abs(p) * (Math.abs(H.get(m - 1, m - 1)) + Math.abs(z) + Math.abs(H.get(m + 1, m + 1))))) {
break;
}
m--;
}
for (i = m + 2; i <= n; i++) {
H.set(i, i - 2, 0);
if (i > m + 2) {
H.set(i, i - 3, 0);
}
}
for (k = m; k <= n - 1; k++) {
notlast = k !== n - 1;
if (k !== m) {
p = H.get(k, k - 1);
q = H.get(k + 1, k - 1);
r = notlast ? H.get(k + 2, k - 1) : 0;
x = Math.abs(p) + Math.abs(q) + Math.abs(r);
if (x !== 0) {
p = p / x;
q = q / x;
r = r / x;
}
}
if (x === 0) {
break;
}
s = Math.sqrt(p * p + q * q + r * r);
if (p < 0) {
s = -s;
}
if (s !== 0) {
if (k !== m) {
H.set(k, k - 1, -s * x);
} else if (l !== m) {
H.set(k, k - 1, -H.get(k, k - 1));
}
p = p + s;
x = p / s;
y = q / s;
z = r / s;
q = q / p;
r = r / p;
for (j = k; j < nn; j++) {
p = H.get(k, j) + q * H.get(k + 1, j);
if (notlast) {
p = p + r * H.get(k + 2, j);
H.set(k + 2, j, H.get(k + 2, j) - p * z);
}
H.set(k, j, H.get(k, j) - p * x);
H.set(k + 1, j, H.get(k + 1, j) - p * y);
}
for (i = 0; i <= Math.min(n, k + 3); i++) {
p = x * H.get(i, k) + y * H.get(i, k + 1);
if (notlast) {
p = p + z * H.get(i, k + 2);
H.set(i, k + 2, H.get(i, k + 2) - p * r);
}
H.set(i, k, H.get(i, k) - p);
H.set(i, k + 1, H.get(i, k + 1) - p * q);
}
for (i = low; i <= high; i++) {
p = x * V.get(i, k) + y * V.get(i, k + 1);
if (notlast) {
p = p + z * V.get(i, k + 2);
V.set(i, k + 2, V.get(i, k + 2) - p * r);
}
V.set(i, k, V.get(i, k) - p);
V.set(i, k + 1, V.get(i, k + 1) - p * q);
}
}
}
}
}
if (norm === 0) {
return;
}
for (n = nn - 1; n >= 0; n--) {
p = d[n];
q = e[n];
if (q === 0) {
l = n;
H.set(n, n, 1);
for (i = n - 1; i >= 0; i--) {
w = H.get(i, i) - p;
r = 0;
for (j = l; j <= n; j++) {
r = r + H.get(i, j) * H.get(j, n);
}
if (e[i] < 0) {
z = w;
s = r;
} else {
l = i;
if (e[i] === 0) {
H.set(i, n, w !== 0 ? -r / w : -r / (eps * norm));
} else {
x = H.get(i, i + 1);
y = H.get(i + 1, i);
q = (d[i] - p) * (d[i] - p) + e[i] * e[i];
t = (x * s - z * r) / q;
H.set(i, n, t);
H.set(i + 1, n, Math.abs(x) > Math.abs(z) ? (-r - w * t) / x : (-s - y * t) / z);
}
t = Math.abs(H.get(i, n));
if (eps * t * t > 1) {
for (j = i; j <= n; j++) {
H.set(j, n, H.get(j, n) / t);
}
}
}
}
} else if (q < 0) {
l = n - 1;
if (Math.abs(H.get(n, n - 1)) > Math.abs(H.get(n - 1, n))) {
H.set(n - 1, n - 1, q / H.get(n, n - 1));
H.set(n - 1, n, -(H.get(n, n) - p) / H.get(n, n - 1));
} else {
cdivres = cdiv(0, -H.get(n - 1, n), H.get(n - 1, n - 1) - p, q);
H.set(n - 1, n - 1, cdivres[0]);
H.set(n - 1, n, cdivres[1]);
}
H.set(n, n - 1, 0);
H.set(n, n, 1);
for (i = n - 2; i >= 0; i--) {
ra = 0;
sa = 0;
for (j = l; j <= n; j++) {
ra = ra + H.get(i, j) * H.get(j, n - 1);
sa = sa + H.get(i, j) * H.get(j, n);
}
w = H.get(i, i) - p;
if (e[i] < 0) {
z = w;
r = ra;
s = sa;
} else {
l = i;
if (e[i] === 0) {
cdivres = cdiv(-ra, -sa, w, q);
H.set(i, n - 1, cdivres[0]);
H.set(i, n, cdivres[1]);
} else {
x = H.get(i, i + 1);
y = H.get(i + 1, i);
vr = (d[i] - p) * (d[i] - p) + e[i] * e[i] - q * q;
vi = (d[i] - p) * 2 * q;
if (vr === 0 && vi === 0) {
vr = eps * norm * (Math.abs(w) + Math.abs(q) + Math.abs(x) + Math.abs(y) + Math.abs(z));
}
cdivres = cdiv(x * r - z * ra + q * sa, x * s - z * sa - q * ra, vr, vi);
H.set(i, n - 1, cdivres[0]);
H.set(i, n, cdivres[1]);
if (Math.abs(x) > Math.abs(z) + Math.abs(q)) {
H.set(i + 1, n - 1, (-ra - w * H.get(i, n - 1) + q * H.get(i, n)) / x);
H.set(i + 1, n, (-sa - w * H.get(i, n) - q * H.get(i, n - 1)) / x);
} else {
cdivres = cdiv(-r - y * H.get(i, n - 1), -s - y * H.get(i, n), z, q);
H.set(i + 1, n - 1, cdivres[0]);
H.set(i + 1, n, cdivres[1]);
}
}
t = Math.max(Math.abs(H.get(i, n - 1)), Math.abs(H.get(i, n)));
if (eps * t * t > 1) {
for (j = i; j <= n; j++) {
H.set(j, n - 1, H.get(j, n - 1) / t);
H.set(j, n, H.get(j, n) / t);
}
}
}
}
}
}
for (i = 0; i < nn; i++) {
if (i < low || i > high) {
for (j = i; j < nn; j++) {
V.set(i, j, H.get(i, j));
}
}
}
for (j = nn - 1; j >= low; j--) {
for (i = low; i <= high; i++) {
z = 0;
for (k = low; k <= Math.min(j, high); k++) {
z = z + V.get(i, k) * H.get(k, j);
}
V.set(i, j, z);
}
}
}
function cdiv(xr, xi, yr, yi) {
let r, d;
if (Math.abs(yr) > Math.abs(yi)) {
r = yi / yr;
d = yr + r * yi;
return [(xr + r * xi) / d, (xi - r * xr) / d];
} else {
r = yr / yi;
d = yi + r * yr;
return [(r * xr + xi) / d, (r * xi - xr) / d];
}
}
class CholeskyDecomposition {
constructor(value) {
value = WrapperMatrix2D.checkMatrix(value);
if (!value.isSymmetric()) {
throw new Error('Matrix is not symmetric');
}
let a = value;
let dimension = a.rows;
let l = new Matrix$2(dimension, dimension);
let positiveDefinite = true;
let i, j, k;
for (j = 0; j < dimension; j++) {
let d = 0;
for (k = 0; k < j; k++) {
let s = 0;
for (i = 0; i < k; i++) {
s += l.get(k, i) * l.get(j, i);
}
s = (a.get(j, k) - s) / l.get(k, k);
l.set(j, k, s);
d = d + s * s;
}
d = a.get(j, j) - d;
positiveDefinite &= d > 0;
l.set(j, j, Math.sqrt(Math.max(d, 0)));
for (k = j + 1; k < dimension; k++) {
l.set(j, k, 0);
}
}
this.L = l;
this.positiveDefinite = Boolean(positiveDefinite);
}
isPositiveDefinite() {
return this.positiveDefinite;
}
solve(value) {
value = WrapperMatrix2D.checkMatrix(value);
let l = this.L;
let dimension = l.rows;
if (value.rows !== dimension) {
throw new Error('Matrix dimensions do not match');
}
if (this.isPositiveDefinite() === false) {
throw new Error('Matrix is not positive definite');
}
let count = value.columns;
let B = value.clone();
let i, j, k;
for (k = 0; k < dimension; k++) {
for (j = 0; j < count; j++) {
for (i = 0; i < k; i++) {
B.set(k, j, B.get(k, j) - B.get(i, j) * l.get(k, i));
}
B.set(k, j, B.get(k, j) / l.get(k, k));
}
}
for (k = dimension - 1; k >= 0; k--) {
for (j = 0; j < count; j++) {
for (i = k + 1; i < dimension; i++) {
B.set(k, j, B.get(k, j) - B.get(i, j) * l.get(i, k));
}
B.set(k, j, B.get(k, j) / l.get(k, k));
}
}
return B;
}
get lowerTriangularMatrix() {
return this.L;
}
}
class nipals {
constructor(X) {
let options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
X = WrapperMatrix2D.checkMatrix(X);
let {
Y
} = options;
const {
scaleScores = false,
maxIterations = 1000,
terminationCriteria = 1e-10
} = options;
let u;
if (Y) {
if (isAnyArray(Y) && typeof Y[0] === 'number') {
Y = Matrix$2.columnVector(Y);
} else {
Y = WrapperMatrix2D.checkMatrix(Y);
}
if (Y.rows !== X.rows) {
throw new Error('Y should have the same number of rows as X');
}
u = Y.getColumnVector(0);
} else {
u = X.getColumnVector(0);
}
let diff = 1;
let t, q, w, tOld;
for (let counter = 0; counter < maxIterations && diff > terminationCriteria; counter++) {
w = X.transpose().mmul(u).div(u.transpose().mmul(u).get(0, 0));
w = w.div(w.norm());
t = X.mmul(w).div(w.transpose().mmul(w).get(0, 0));
if (counter > 0) {
diff = t.clone().sub(tOld).pow(2).sum();
}
tOld = t.clone();
if (Y) {
q = Y.transpose().mmul(t).div(t.transpose().mmul(t).get(0, 0));
q = q.div(q.norm());
u = Y.mmul(q).div(q.transpose().mmul(q).get(0, 0));
} else {
u = t;
}
}
if (Y) {
let p = X.transpose().mmul(t).div(t.transpose().mmul(t).get(0, 0));
p = p.div(p.norm());
let xResidual = X.clone().sub(t.clone().mmul(p.transpose()));
let residual = u.transpose().mmul(t).div(t.transpose().mmul(t).get(0, 0));
let yResidual = Y.clone().sub(t.clone().mulS(residual.get(0, 0)).mmul(q.transpose()));
this.t = t;
this.p = p.transpose();
this.w = w.transpose();
this.q = q;
this.u = u;
this.s = t.transpose().mmul(t);
this.xResidual = xResidual;
this.yResidual = yResidual;
this.betas = residual;
} else {
this.w = w.transpose();
this.s = t.transpose().mmul(t).sqrt();
if (scaleScores) {
this.t = t.clone().div(this.s.get(0, 0));
} else {
this.t = t;
}
this.xResidual = X.sub(t.mmul(w.transpose()));
}
}
}
var src$1 = /*#__PURE__*/Object.freeze({
__proto__: null,
AbstractMatrix: AbstractMatrix,
'default': Matrix$2,
Matrix: Matrix$2,
wrap: wrap,
WrapperMatrix1D: WrapperMatrix1D,
WrapperMatrix2D: WrapperMatrix2D,
solve: solve,
inverse: inverse,
determinant: determinant,
linearDependencies: linearDependencies,
pseudoInverse: pseudoInverse,
covariance: covariance,
correlation: correlation,
SingularValueDecomposition: SingularValueDecomposition,
SVD: SingularValueDecomposition,
EigenvalueDecomposition: EigenvalueDecomposition,
EVD: EigenvalueDecomposition,
CholeskyDecomposition: CholeskyDecomposition,
CHO: CholeskyDecomposition,
LuDecomposition: LuDecomposition,
LU: LuDecomposition,
QrDecomposition: QrDecomposition,
QR: QrDecomposition,
Nipals: nipals,
NIPALS: nipals,
MatrixColumnView: MatrixColumnView,
MatrixColumnSelectionView: MatrixColumnSelectionView,
MatrixFlipColumnView: MatrixFlipColumnView,
MatrixFlipRowView: MatrixFlipRowView,
MatrixRowView: MatrixRowView,
MatrixRowSelectionView: MatrixRowSelectionView,
MatrixSelectionView: MatrixSelectionView,
MatrixSubView: MatrixSubView,
MatrixTransposeView: MatrixTransposeView$1
});
function getSeparatedKernel(kernel) {
const svd = new SingularValueDecomposition(kernel, {
autoTranspose: true
});
if (svd.rank !== 1) return null;
const s = Math.sqrt(svd.s[0]);
const v = svd.U.to2DArray().map(v => v[0] * s);
const h = svd.V.to2DArray().map(h => h[0] * s);
return [v, h];
}
/**
* @memberof Image
* @instance
* @param {Array>} kernel
* @param {object} [options] - options
* @param {Array} [options.channels] - Array of channels to treat. Defaults to all channels
* @param {number} [options.bitDepth=this.bitDepth] - A new bit depth can be specified. This allows to use 32 bits to avoid clamping of floating-point numbers.
* @param {boolean} [options.normalize=false]
* @param {number} [options.divisor=1]
* @param {string} [options.border='copy']
* @param {string} [options.algorithm='auto'] - Either 'auto', 'direct', 'fft' or 'separable'. fft is much faster for large kernel.
* If the separable algorithm is used, one must provide as kernel an array of two 1D kernels.
* The 'auto' option will try to separate the kernel if that is possible.
* @return {Image}
*/
function convolution(kernel) {
let options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
let {
channels,
bitDepth,
normalize = false,
divisor = 1,
border = 'copy',
algorithm = 'auto'
} = options;
let createOptions = {};
if (bitDepth) createOptions.bitDepth = bitDepth;
let newImage = Image.createFrom(this, createOptions);
channels = validateArrayOfChannels(this, channels, true);
if (algorithm !== 'separable') {
({
kernel
} = validateKernel(kernel));
} else if (!Array.isArray(kernel) || kernel.length !== 2) {
throw new RangeError('separable convolution requires two arrays of numbers to represent the kernel');
}
if (algorithm === 'auto') {
let separatedKernel = getSeparatedKernel(kernel);
if (separatedKernel !== null) {
algorithm = 'separable';
kernel = separatedKernel;
} else if ((kernel.length > 9 || kernel[0].length > 9) && this.width <= 4096 && this.height <= 4096) {
algorithm = 'fft';
} else {
algorithm = 'direct';
}
}
let halfHeight, halfWidth;
if (algorithm === 'separable') {
halfHeight = Math.floor(kernel[0].length / 2);
halfWidth = Math.floor(kernel[1].length / 2);
} else {
halfHeight = Math.floor(kernel.length / 2);
halfWidth = Math.floor(kernel[0].length / 2);
}
let clamped = newImage.isClamped;
let tmpData = new Array(this.height * this.width);
let index, x, y, channel, c, tmpResult;
for (channel = 0; channel < channels.length; channel++) {
c = channels[channel]; // Copy the channel in a single array
for (y = 0; y < this.height; y++) {
for (x = 0; x < this.width; x++) {
index = y * this.width + x;
tmpData[index] = this.data[index * this.channels + c];
}
}
if (algorithm === 'direct') {
tmpResult = src$2.direct(tmpData, kernel, {
rows: this.height,
cols: this.width,
normalize: normalize,
divisor: divisor
});
} else if (algorithm === 'separable') {
tmpResult = convolutionSeparable(tmpData, kernel, this.width, this.height);
if (normalize) {
divisor = 0;
for (let i = 0; i < kernel[0].length; i++) {
for (let j = 0; j < kernel[1].length; j++) {
divisor += kernel[0][i] * kernel[1][j];
}
}
}
if (divisor !== 1) {
for (let i = 0; i < tmpResult.length; i++) {
tmpResult[i] /= divisor;
}
}
} else {
tmpResult = src$2.fft(tmpData, kernel, {
rows: this.height,
cols: this.width,
normalize: normalize,
divisor: divisor
});
} // Copy the result to the output image
for (y = 0; y < this.height; y++) {
for (x = 0; x < this.width; x++) {
index = y * this.width + x;
if (clamped) {
newImage.data[index * this.channels + c] = clamp(tmpResult[index], newImage);
} else {
newImage.data[index * this.channels + c] = tmpResult[index];
}
}
}
} // if the kernel was not applied on the alpha channel we just copy it
// TODO: in general we should copy the channels that where not changed
// TODO: probably we should just copy the image at the beginning ?
if (this.alpha && !channels.includes(this.channels)) {
for (x = this.components; x < this.data.length; x = x + this.channels) {
newImage.data[x] = this.data[x];
}
} // I only can have 3 types of borders:
// 1. Considering the image as periodic: periodic
// 2. Extend the interior borders: copy
// 3. fill with a color: set
if (border !== 'periodic') {
newImage.setBorder({
size: [halfWidth, halfHeight],
algorithm: border
});
}
return newImage;
}
/**
* Direction of a gradient filter
* @typedef {('x'|'y'|'xy')} GradientDirection
*/
/**
* @memberof Image
* @instance
* @param {object} [options]
* @param {GradientDirection} [options.direction]
* @param {Array>} [options.kernelX]
* @param {Array>} [options.kernelY]
* @param {string} [options.border='copy']
* @param {*} [options.channels]
* @param {number} [options.bitDepth=this.bitDepth] Specify the bitDepth of the resulting image
* @return {Image}
*/
function gradientFilter() {
let options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};
let {
direction = 'xy',
border = 'copy',
kernelX,
kernelY,
channels,
bitDepth = this.bitDepth
} = options;
this.checkProcessable('gradientFilter', {
bitDepth: [8, 16]
});
switch (direction) {
case 'x':
if (!kernelX) throw new Error('kernelX option is missing');
return convolution.call(this, kernelX, {
channels: channels,
border: border,
bitDepth
});
case 'y':
if (!kernelY) throw new Error('kernelY option is missing');
return convolution.call(this, kernelY, {
channels: channels,
border: border,
bitDepth
});
case 'xy':
{
if (!kernelX) throw new Error('kernelX option is missing');
if (!kernelY) throw new Error('kernelY option is missing');
const gX = convolution.call(this, kernelX, {
channels: channels,
border: border,
bitDepth: 32
});
const gY = convolution.call(this, kernelY, {
channels: channels,
border: border,
bitDepth: 32
});
return gX.hypotenuse(gY, {
bitDepth,
channels: channels
});
}
default:
throw new Error(`Unknown parameter direction: ${direction}`);
}
}
/**
* Applies the Sobel operator.
* @memberof Image
* @instance
* @param {object} [options]
* @param {GradientDirection} [options.direction]
* @param {string} [options.border='copy']
* @param {*} [options.channels]
* @param {number} [options.bitDepth=this.bitDepth] Specify the bitDepth of the resulting image
* @return {Image}
* @see {@link https://en.wikipedia.org/wiki/Sobel_operator}
*/
function sobelFilter(options) {
return gradientFilter.call(this, Object.assign({}, options, {
kernelX: SOBEL_X,
kernelY: SOBEL_Y
}));
}
/**
* Applies the Scharr operator.
* @memberof Image
* @instance
* @param {object} [options]
* @param {GradientDirection} [options.direction]
* @param {string} [options.border='copy']
* @param {*} [options.channels]
* @param {number} [options.bitDepth=this.bitDepth] Specify the bitDepth of the resulting image
* @return {Image}
* @see {@link https://en.wikipedia.org/wiki/Sobel_operator#Alternative_operators}
*/
function scharrFilter(options) {
return gradientFilter.call(this, Object.assign({}, options, {
kernelX: SCHARR_X,
kernelY: SCHARR_Y
}));
}
var newArray_1 = newArray;
function newArray(n, value) {
n = n || 0;
var array = new Array(n);
for (var i = 0; i < n; i++) {
array[i] = value;
}
return array;
}
var newArray$1 = newArray_1;
/**
* Level the image for by default have the minimal and maximal values.
* @memberof Image
* @instance
* @param {object} [options]
* @param {string} [options.algorithm='range']
* @param {SelectedChannels} [options.channels] Specify which channels should be processed
* @param {number} [options.min=this.min] minimal value after levelling
* @param {number} [options.max=this.max] maximal value after levelling
* @return {this}
*/
function level() {
let options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};
let {
algorithm = 'range',
channels,
min = this.min,
max = this.max
} = options;
this.checkProcessable('level', {
bitDepth: [8, 16, 32]
});
channels = validateArrayOfChannels(this, {
channels: channels
});
if (channels.length !== this.channel) {
// if we process only part of the channels and the min or max length corresponds to the number of channels
// we need to take the corresponding values
if (Array.isArray(min) && min.length === this.channels) {
min = min.filter((a, index) => channels.includes(index));
}
if (Array.isArray(max) && max.length === this.channels) {
max = max.filter((a, index) => channels.includes(index));
}
}
switch (algorithm) {
case 'range':
if (min < 0) {
min = 0;
}
if (max > this.maxValue) {
max = this.maxValue;
}
if (!Array.isArray(min)) {
min = newArray$1(channels.length, min);
}
if (!Array.isArray(max)) {
max = newArray$1(channels.length, max);
}
processImage(this, min, max, channels);
break;
default:
throw new Error(`level: algorithm not implement: ${algorithm}`);
}
return this;
}
function processImage(image, min, max, channels) {
let delta = 1e-5; // sorry no better value that this "best guess"
let factor = new Array(channels.length);
for (let i = 0; i < channels.length; i++) {
if (min[i] === 0 && max[i] === image.maxValue) {
factor[i] = 0;
} else if (max[i] === min[i]) {
factor[i] = 0;
} else {
factor[i] = (image.maxValue + 1 - delta) / (max[i] - min[i]);
}
min[i] += (0.5 - delta / 2) / factor[i];
}
/*
Note on border effect
For 8 bits images we should calculate for the space between -0.5 and 255.5
so that after ronding the first and last points still have the same population
But doing this we need to deal with Math.round that gives 256 if the value is 255.5
*/
for (let j = 0; j < channels.length; j++) {
let c = channels[j];
if (factor[j] !== 0) {
for (let i = 0; i < image.data.length; i += image.channels) {
image.data[i + c] = Math.min(Math.max(0, (image.data[i + c] - min[j]) * factor[j] + 0.5 | 0), image.maxValue);
}
}
}
}
var toString = Object.prototype.toString;
var isArrayType = function isArrayType(value) {
return toString.call(value).substr(-6, 5) === 'Array';
};
var isArray = isArrayType;
function checkNumberArray(value) {
if (!isNaN(value)) {
if (value <= 0) {
throw new Error('checkNumberArray: the value must be greater than 0');
}
return value;
} else {
if (value instanceof Image) {
return value.data;
}
if (!isArray(value)) {
throw new Error('checkNumberArray: the value should be either a number, array or Image');
}
return value;
}
}
/**
* Add a specific integer on the specified points of the specified channels
* @memberof Image
* @instance
* @param {*} value
* @param {object} [options]
* @return {this} Modified current image
*/
function add(value) {
let options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
let {
channels
} = options;
this.checkProcessable('add', {
bitDepth: [8, 16]
});
channels = validateArrayOfChannels(this, {
channels: channels
});
value = checkNumberArray(value); // we allow 3 cases, the value may be an array (1D), an image or a single value
if (!isNaN(value)) {
for (let j = 0; j < channels.length; j++) {
let c = channels[j];
for (let i = 0; i < this.data.length; i += this.channels) {
this.data[i + c] = Math.min(this.maxValue, this.data[i + c] + value >> 0);
}
}
} else {
if (this.data.length !== value.length) {
throw new Error('add: the data size is different');
}
for (let j = 0; j < channels.length; j++) {
let c = channels[j];
for (let i = 0; i < this.data.length; i += this.channels) {
this.data[i + c] = Math.max(0, Math.min(this.maxValue, this.data[i + c] + value[i + c] >> 0));
}
}
}
return this;
}
/**
* @memberof Image
* @instance
* @param {*} value
* @param {object} [options]
* @return {this}
*/
function subtract(value) {
let options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
let {
channels
} = options;
this.checkProcessable('subtract', {
bitDepth: [8, 16]
});
channels = validateArrayOfChannels(this, {
channels: channels
});
value = checkNumberArray(value);
if (!isNaN(value)) {
for (let j = 0; j < channels.length; j++) {
let c = channels[j];
for (let i = 0; i < this.data.length; i += this.channels) {
this.data[i + c] = Math.max(0, this.data[i + c] - value >> 0);
}
}
} else {
if (this.data.length !== value.length) {
throw new Error('subtract: the data size is different');
}
for (let j = 0; j < channels.length; j++) {
let c = channels[j];
for (let i = 0; i < this.data.length; i += this.channels) {
this.data[i + c] = Math.max(0, Math.min(this.maxValue, this.data[i + c] - value[i + c] >> 0));
}
}
}
return this;
}
/**
* Calculate a new image that is the subtraction between the current image and the otherImage.
* @memberof Image
* @instance
* @param {Image} otherImage
* @param {object} [options={}]
* @param {number[]|string[]} [options.channels] : to which channel to apply the filter. By default all but alpha.
* @param {number[]|string[]} [options.absolute=false] :.take the absolute value of the difference (default minimum=0)
* @return {Image}
*/
function subtractImage(otherImage) {
let options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
let {
channels,
absolute = false
} = options;
this.checkProcessable('subtractImage', {
bitDepth: [8, 16]
});
if (this.width !== otherImage.width || this.height !== otherImage.height) {
throw new Error('subtractImage: both images must have the same size');
}
if (this.alpha !== otherImage.alpha || this.bitDepth !== otherImage.bitDepth) {
throw new Error('subtractImage: both images must have the same alpha and bitDepth');
}
if (this.channels !== otherImage.channels) {
throw new Error('subtractImage: both images must have the same number of channels');
}
let newImage = this.clone();
channels = validateArrayOfChannels(this, {
channels: channels
});
for (let j = 0; j < channels.length; j++) {
let c = channels[j];
for (let i = c; i < this.data.length; i += this.channels) {
let value = this.data[i] - otherImage.data[i];
if (absolute) {
newImage.data[i] = Math.abs(value);
} else {
newImage.data[i] = Math.max(value, 0);
}
}
}
return newImage;
}
/**
* Calculate a new image that is the hypotenuse between the current image and the otherImage.
* @memberof Image
* @instance
* @param {Image} otherImage
* @param {object} [options={}]
* @param {number} [options.bitDepth=this.bitDepth]
* @param {number[]|string[]} [options.channels] : to which channel to apply the filter. By default all but alpha.
* @return {Image}
*/
function hypotenuse(otherImage) {
let options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
let {
bitDepth = this.bitDepth,
channels
} = options;
this.checkProcessable('hypotenuse', {
bitDepth: [8, 16, 32]
});
if (this.width !== otherImage.width || this.height !== otherImage.height) {
throw new Error('hypotenuse: both images must have the same size');
}
if (this.alpha !== otherImage.alpha || this.bitDepth !== otherImage.bitDepth) {
throw new Error('hypotenuse: both images must have the same alpha and bitDepth');
}
if (this.channels !== otherImage.channels) {
throw new Error('hypotenuse: both images must have the same number of channels');
}
let newImage = Image.createFrom(this, {
bitDepth: bitDepth
});
channels = validateArrayOfChannels(this, {
channels: channels
});
let clamped = newImage.isClamped;
for (let j = 0; j < channels.length; j++) {
let c = channels[j];
for (let i = c; i < this.data.length; i += this.channels) {
let value = Math.hypot(this.data[i], otherImage.data[i]);
if (clamped) {
// we calculate the clamped result
newImage.data[i] = Math.min(Math.max(Math.round(value), 0), newImage.maxValue);
} else {
newImage.data[i] = value;
}
}
}
return newImage;
}
/**
* @memberof Image
* @instance
* @param {*} value
* @param {object} [options]
* @return {this}
*/
function multiply(value) {
let options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
let {
channels
} = options;
this.checkProcessable('multiply', {
bitDepth: [8, 16]
});
if (value <= 0) {
throw new Error('multiply: the value must be greater than 0');
}
channels = validateArrayOfChannels(this, {
channels: channels
});
value = checkNumberArray(value);
if (!isNaN(value)) {
for (let j = 0; j < channels.length; j++) {
let c = channels[j];
for (let i = 0; i < this.data.length; i += this.channels) {
this.data[i + c] = Math.min(this.maxValue, this.data[i + c] * value >> 0);
}
}
} else {
if (this.data.length !== value.length) {
throw new Error('multiply: the data size is different');
}
for (let j = 0; j < channels.length; j++) {
let c = channels[j];
for (let i = 0; i < this.data.length; i += this.channels) {
this.data[i + c] = Math.max(0, Math.min(this.maxValue, this.data[i + c] * value[i + c] >> 0));
}
}
}
return this;
}
/**
* @memberof Image
* @instance
* @param {*} value
* @param {object} [options]
* @return {this}
*/
function divide(value) {
let options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
let {
channels
} = options;
this.checkProcessable('divide', {
bitDepth: [8, 16]
});
channels = validateArrayOfChannels(this, {
channels: channels
});
value = checkNumberArray(value);
if (!isNaN(value)) {
for (let j = 0; j < channels.length; j++) {
let c = channels[j];
for (let i = 0; i < this.data.length; i += this.channels) {
this.data[i + c] = Math.min(this.maxValue, this.data[i + c] / value >> 0);
}
}
} else {
if (this.data.length !== value.length) {
throw new Error('divide: the: the data size is different');
}
for (let j = 0; j < channels.length; j++) {
let c = channels[j];
for (let i = 0; i < this.data.length; i += this.channels) {
this.data[i + c] = Math.max(0, Math.min(this.maxValue, this.data[i + c] / value[i + c] >> 0));
}
}
}
return this;
}
class BaseRegression {
constructor() {
if (new.target === BaseRegression) {
throw new Error('BaseRegression must be subclassed');
}
}
predict(x) {
if (typeof x === 'number') {
return this._predict(x);
} else if (isAnyArray(x)) {
const y = [];
for (let i = 0; i < x.length; i++) {
y.push(this._predict(x[i]));
}
return y;
} else {
throw new TypeError('x must be a number or array');
}
}
_predict() {
throw new Error('_predict must be implemented');
}
train() {// Do nothing for this package
}
toString() {
return '';
}
toLaTeX() {
return '';
}
/**
* Return the correlation coefficient of determination (r) and chi-square.
* @param {Array} x
* @param {Array} y
* @return {object}
*/
score(x, y) {
if (!isAnyArray(x) || !isAnyArray(y) || x.length !== y.length) {
throw new Error('x and y must be arrays of the same length');
}
const n = x.length;
const y2 = new Array(n);
for (let i = 0; i < n; i++) {
y2[i] = this._predict(x[i]);
}
let xSum = 0;
let ySum = 0;
let chi2 = 0;
let rmsd = 0;
let xSquared = 0;
let ySquared = 0;
let xY = 0;
for (let i = 0; i < n; i++) {
xSum += y2[i];
ySum += y[i];
xSquared += y2[i] * y2[i];
ySquared += y[i] * y[i];
xY += y2[i] * y[i];
if (y[i] !== 0) {
chi2 += (y[i] - y2[i]) * (y[i] - y2[i]) / y[i];
}
rmsd += (y[i] - y2[i]) * (y[i] - y2[i]);
}
const r = (n * xY - xSum * ySum) / Math.sqrt((n * xSquared - xSum * xSum) * (n * ySquared - ySum * ySum));
return {
r: r,
r2: r * r,
chi2: chi2,
rmsd: Math.sqrt(rmsd / n)
};
}
}
var require$$0$1 = /*@__PURE__*/getAugmentedNamespace(src$1);
function squaredEuclidean$4(p, q) {
let d = 0;
for (let i = 0; i < p.length; i++) {
d += (p[i] - q[i]) * (p[i] - q[i]);
}
return d;
}
function euclidean$2(p, q) {
return Math.sqrt(squaredEuclidean$4(p, q));
}
var euclidean$3 = /*#__PURE__*/Object.freeze({
__proto__: null,
squaredEuclidean: squaredEuclidean$4,
euclidean: euclidean$2
});
var require$$0 = /*@__PURE__*/getAugmentedNamespace(euclidean$3);
const {
squaredEuclidean: squaredEuclidean$3
} = require$$0;
const defaultOptions$b = {
sigma: 1
};
class GaussianKernel$1 {
constructor(options) {
options = Object.assign({}, defaultOptions$b, options);
this.sigma = options.sigma;
this.divisor = 2 * options.sigma * options.sigma;
}
compute(x, y) {
const distance = squaredEuclidean$3(x, y);
return Math.exp(-distance / this.divisor);
}
}
var gaussianKernel = GaussianKernel$1;
const defaultOptions$a = {
degree: 1,
constant: 1,
scale: 1
};
class PolynomialKernel$1 {
constructor(options) {
options = Object.assign({}, defaultOptions$a, options);
this.degree = options.degree;
this.constant = options.constant;
this.scale = options.scale;
}
compute(x, y) {
var sum = 0;
for (var i = 0; i < x.length; i++) {
sum += x[i] * y[i];
}
return Math.pow(this.scale * sum + this.constant, this.degree);
}
}
var polynomialKernel = PolynomialKernel$1;
const defaultOptions$9 = {
alpha: 0.01,
constant: -Math.E
};
class SigmoidKernel$1 {
constructor(options) {
options = Object.assign({}, defaultOptions$9, options);
this.alpha = options.alpha;
this.constant = options.constant;
}
compute(x, y) {
var sum = 0;
for (var i = 0; i < x.length; i++) {
sum += x[i] * y[i];
}
return Math.tanh(this.alpha * sum + this.constant);
}
}
var sigmoidKernel = SigmoidKernel$1;
const defaultOptions$8 = {
sigma: 1,
degree: 1
};
class ANOVAKernel$1 {
constructor(options) {
options = Object.assign({}, defaultOptions$8, options);
this.sigma = options.sigma;
this.degree = options.degree;
}
compute(x, y) {
var sum = 0;
var len = Math.min(x.length, y.length);
for (var i = 1; i <= len; ++i) {
sum += Math.pow(Math.exp(-this.sigma * Math.pow(Math.pow(x[i - 1], i) - Math.pow(y[i - 1], i), 2)), this.degree);
}
return sum;
}
}
var anovaKernel = ANOVAKernel$1;
const {
squaredEuclidean: squaredEuclidean$2
} = require$$0;
const defaultOptions$7 = {
sigma: 1
};
class CauchyKernel$1 {
constructor(options) {
options = Object.assign({}, defaultOptions$7, options);
this.sigma = options.sigma;
}
compute(x, y) {
return 1 / (1 + squaredEuclidean$2(x, y) / (this.sigma * this.sigma));
}
}
var cauchyKernel = CauchyKernel$1;
const {
euclidean: euclidean$1
} = require$$0;
const defaultOptions$6 = {
sigma: 1
};
class ExponentialKernel$1 {
constructor(options) {
options = Object.assign({}, defaultOptions$6, options);
this.sigma = options.sigma;
this.divisor = 2 * options.sigma * options.sigma;
}
compute(x, y) {
const distance = euclidean$1(x, y);
return Math.exp(-distance / this.divisor);
}
}
var exponentialKernel = ExponentialKernel$1;
class HistogramIntersectionKernel {
compute(x, y) {
var min = Math.min(x.length, y.length);
var sum = 0;
for (var i = 0; i < min; ++i) {
sum += Math.min(x[i], y[i]);
}
return sum;
}
}
var histogramIntersectionKernel = HistogramIntersectionKernel;
const {
euclidean
} = require$$0;
const defaultOptions$5 = {
sigma: 1
};
class LaplacianKernel$1 {
constructor(options) {
options = Object.assign({}, defaultOptions$5, options);
this.sigma = options.sigma;
}
compute(x, y) {
const distance = euclidean(x, y);
return Math.exp(-distance / this.sigma);
}
}
var laplacianKernel = LaplacianKernel$1;
const {
squaredEuclidean: squaredEuclidean$1
} = require$$0;
const defaultOptions$4 = {
constant: 1
};
class MultiquadraticKernel$1 {
constructor(options) {
options = Object.assign({}, defaultOptions$4, options);
this.constant = options.constant;
}
compute(x, y) {
return Math.sqrt(squaredEuclidean$1(x, y) + this.constant * this.constant);
}
}
var multiquadraticKernel = MultiquadraticKernel$1;
const {
squaredEuclidean
} = require$$0;
const defaultOptions$3 = {
constant: 1
};
class RationalQuadraticKernel {
constructor(options) {
options = Object.assign({}, defaultOptions$3, options);
this.constant = options.constant;
}
compute(x, y) {
const distance = squaredEuclidean(x, y);
return 1 - distance / (distance + this.constant);
}
}
var rationalQuadraticKernel = RationalQuadraticKernel;
const {
Matrix: Matrix$1,
MatrixTransposeView
} = require$$0$1;
const GaussianKernel = gaussianKernel;
const PolynomialKernel = polynomialKernel;
const SigmoidKernel = sigmoidKernel;
const ANOVAKernel = anovaKernel;
const CauchyKernel = cauchyKernel;
const ExponentialKernel = exponentialKernel;
const HistogramKernel = histogramIntersectionKernel;
const LaplacianKernel = laplacianKernel;
const MultiquadraticKernel = multiquadraticKernel;
const RationalKernel = rationalQuadraticKernel;
const kernelType = {
gaussian: GaussianKernel,
rbf: GaussianKernel,
polynomial: PolynomialKernel,
poly: PolynomialKernel,
anova: ANOVAKernel,
cauchy: CauchyKernel,
exponential: ExponentialKernel,
histogram: HistogramKernel,
min: HistogramKernel,
laplacian: LaplacianKernel,
multiquadratic: MultiquadraticKernel,
rational: RationalKernel,
sigmoid: SigmoidKernel,
mlp: SigmoidKernel
};
class Kernel {
constructor(type, options) {
this.kernelType = type;
if (type === 'linear') return;
if (typeof type === 'string') {
type = type.toLowerCase();
var KernelConstructor = kernelType[type];
if (KernelConstructor) {
this.kernelFunction = new KernelConstructor(options);
} else {
throw new Error(`unsupported kernel type: ${type}`);
}
} else if (typeof type === 'object' && typeof type.compute === 'function') {
this.kernelFunction = type;
} else {
throw new TypeError('first argument must be a valid kernel type or instance');
}
}
compute(inputs, landmarks) {
inputs = Matrix$1.checkMatrix(inputs);
if (landmarks === undefined) {
landmarks = inputs;
} else {
landmarks = Matrix$1.checkMatrix(landmarks);
}
if (this.kernelType === 'linear') {
return inputs.mmul(new MatrixTransposeView(landmarks));
}
const kernelMatrix = new Matrix$1(inputs.rows, landmarks.rows);
if (inputs === landmarks) {
// fast path, matrix is symmetric
for (let i = 0; i < inputs.rows; i++) {
for (let j = i; j < inputs.rows; j++) {
const value = this.kernelFunction.compute(inputs.getRow(i), inputs.getRow(j));
kernelMatrix.set(i, j, value);
kernelMatrix.set(j, i, value);
}
}
} else {
for (let i = 0; i < inputs.rows; i++) {
for (let j = 0; j < landmarks.rows; j++) {
kernelMatrix.set(i, j, this.kernelFunction.compute(inputs.getRow(i), landmarks.getRow(j)));
}
}
}
return kernelMatrix;
}
}
var kernel$1 = Kernel;
var Kernel$1 = kernel$1;
const defaultOptions$2 = {
lambda: 0.1,
kernelType: 'gaussian',
kernelOptions: {},
computeCoefficient: false
}; // Implements the Kernel ridge regression algorithm.
// http://www.ics.uci.edu/~welling/classnotes/papers_class/Kernel-Ridge.pdf
class KernelRidgeRegression extends BaseRegression {
constructor(inputs, outputs, options) {
super();
if (inputs === true) {
// reloading model
this.alpha = outputs.alpha;
this.inputs = outputs.inputs;
this.kernelType = outputs.kernelType;
this.kernelOptions = outputs.kernelOptions;
this.kernel = new Kernel$1(outputs.kernelType, outputs.kernelOptions);
} else {
inputs = Matrix$2.checkMatrix(inputs);
options = Object.assign({}, defaultOptions$2, options);
const kernelFunction = new Kernel$1(options.kernelType, options.kernelOptions);
const K = kernelFunction.compute(inputs);
const n = inputs.rows;
K.add(Matrix$2.eye(n, n).mul(options.lambda));
this.alpha = solve(K, outputs);
this.inputs = inputs;
this.kernelType = options.kernelType;
this.kernelOptions = options.kernelOptions;
this.kernel = kernelFunction;
}
}
_predict(newInputs) {
return this.kernel.compute([newInputs], this.inputs).mmul(this.alpha).getRow(0);
}
toJSON() {
return {
name: 'kernelRidgeRegression',
alpha: this.alpha,
inputs: this.inputs,
kernelType: this.kernelType,
kernelOptions: this.kernelOptions
};
}
static load(json) {
if (json.name !== 'kernelRidgeRegression') {
throw new TypeError('not a KRR model');
}
return new KernelRidgeRegression(true, json);
}
}
/**
* @memberof Image
* @instance
* @param {Array>} coordinates
* @param {Array>} values;
* @param {object} [options]
* @return {Image}
*/
function background$2(coordinates, values, options) {
const model = new KernelRidgeRegression(coordinates, values, options);
const allCoordinates = new Array(this.size);
for (let i = 0; i < this.width; i++) {
for (let j = 0; j < this.height; j++) {
allCoordinates[j * this.width + i] = [i, j];
}
}
const result = model.predict(allCoordinates);
const background = Image.createFrom(this);
for (let i = 0; i < this.size; i++) {
background.data[i] = Math.min(this.maxValue, Math.max(0, result[i][0]));
}
return background;
}
/**
* Dilatation is one of two fundamental operations (with erosion) in morphological
* image processing from which all other morphological operations are based (from Wikipedia).
* Replaces each value with it's local maximum among the pixels with a kernel value of 1.
* http://docs.opencv.org/2.4/doc/tutorials/imgproc/erosion_dilatation/erosion_dilatation.html
* https://en.wikipedia.org/wiki/Dilation_(morphology)
* @memberof Image
* @instance
* @param {object} [options]
* @param {Array>} [options.kernel] - The kernel can only have ones and zeros. Default: [[1, 1, 1], [1, 1, 1], [1, 1, 1]]
* @param {number} [options.iterations=1] - The number of successive erosions
* @return {Image}
*/
function dilate() {
let options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};
let {
kernel = [[1, 1, 1], [1, 1, 1], [1, 1, 1]],
iterations = 1
} = options;
this.checkProcessable('dilate', {
bitDepth: [1, 8, 16],
components: 1,
alpha: 0
});
if (kernel.columns % 2 === 0 || kernel.rows % 2 === 0) {
throw new TypeError('dilate: The number of rows and columns of the kernel must be odd');
}
let onlyOnes = true;
outer: for (const row of kernel) {
for (const value of row) {
if (value !== 1) {
onlyOnes = false;
break outer;
}
}
}
let result = this;
for (let i = 0; i < iterations; i++) {
if (this.bitDepth === 1) {
if (onlyOnes) {
const newImage = result.clone();
result = dilateOnceBinaryOnlyOnes(result, newImage, kernel.length, kernel[0].length);
} else {
const newImage = Image.createFrom(result);
result = dilateOnceBinary(result, newImage, kernel);
}
} else if (onlyOnes) {
const newImage = Image.createFrom(result);
result = dilateOnceGreyOnlyOnes(result, newImage, kernel.length, kernel[0].length);
} else {
const newImage = Image.createFrom(result);
result = dilateOnceGrey(result, newImage, kernel);
}
}
return result;
}
function dilateOnceGrey(img, newImage, kernel) {
const kernelWidth = kernel.length;
const kernelHeight = kernel[0].length;
let radiusX = (kernelWidth - 1) / 2;
let radiusY = (kernelHeight - 1) / 2;
for (let y = 0; y < img.height; y++) {
for (let x = 0; x < img.width; x++) {
let max = 0;
for (let jj = 0; jj < kernelHeight; jj++) {
for (let ii = 0; ii < kernelWidth; ii++) {
if (kernel[ii][jj] !== 1) continue;
let i = ii - radiusX + x;
let j = jj - radiusY + y;
if (i < 0 || j < 0 || i >= img.width || j >= img.height) continue;
const value = img.getValueXY(i, j, 0);
if (value > max) max = value;
}
}
newImage.setValueXY(x, y, 0, max);
}
}
return newImage;
}
function dilateOnceGreyOnlyOnes(img, newImage, kernelWidth, kernelHeight) {
const radiusX = (kernelWidth - 1) / 2;
const radiusY = (kernelHeight - 1) / 2;
const maxList = [];
for (let x = 0; x < img.width; x++) {
maxList.push(0);
}
for (let y = 0; y < img.height; y++) {
for (let x = 0; x < img.width; x++) {
let max = 0;
for (let h = Math.max(0, y - radiusY); h < Math.min(img.height, y + radiusY + 1); h++) {
const value = img.getValueXY(x, h, 0);
if (value > max) {
max = value;
}
}
maxList[x] = max;
}
for (let x = 0; x < img.width; x++) {
let max = 0;
for (let i = Math.max(0, x - radiusX); i < Math.min(img.width, x + radiusX + 1); i++) {
if (maxList[i] > max) {
max = maxList[i];
}
}
newImage.setValueXY(x, y, 0, max);
}
}
return newImage;
}
function dilateOnceBinary(img, newImage, kernel) {
const kernelWidth = kernel.length;
const kernelHeight = kernel[0].length;
let radiusX = (kernelWidth - 1) / 2;
let radiusY = (kernelHeight - 1) / 2;
for (let y = 0; y < img.height; y++) {
for (let x = 0; x < img.width; x++) {
let max = 0;
intLoop: for (let jj = 0; jj < kernelHeight; jj++) {
for (let ii = 0; ii < kernelWidth; ii++) {
if (kernel[ii][jj] !== 1) continue;
let i = ii - radiusX + x;
let j = jj - radiusY + y;
if (j < 0 || i < 0 || i >= img.width || j >= img.height) continue;
const value = img.getBitXY(i, j);
if (value === 1) {
max = 1;
break intLoop;
}
}
}
if (max === 1) {
newImage.setBitXY(x, y);
}
}
}
return newImage;
}
function dilateOnceBinaryOnlyOnes(img, newImage, kernelWidth, kernelHeight) {
const radiusX = (kernelWidth - 1) / 2;
const radiusY = (kernelHeight - 1) / 2;
const maxList = [];
for (let x = 0; x < img.width; x++) {
maxList.push(1);
}
for (let y = 0; y < img.height; y++) {
for (let x = 0; x < img.width; x++) {
maxList[x] = 0;
for (let h = Math.max(0, y - radiusY); h < Math.min(img.height, y + radiusY + 1); h++) {
if (img.getBitXY(x, h) === 1) {
maxList[x] = 1;
break;
}
}
}
for (let x = 0; x < img.width; x++) {
if (newImage.getBitXY(x, y) === 1) continue;
for (let i = Math.max(0, x - radiusX); i < Math.min(img.width, x + radiusX + 1); i++) {
if (maxList[i] === 1) {
newImage.setBitXY(x, y);
break;
}
}
}
}
return newImage;
}
/**
* Erosion is one of two fundamental operations (with dilatation) in morphological
* image processing from which all other morphological operations are based (from Wikipedia).
* Replaces each value with it's local minimum among the pixels with a kernel value of 1.
* http://docs.opencv.org/2.4/doc/tutorials/imgproc/erosion_dilatation/erosion_dilatation.html
* https://en.wikipedia.org/wiki/Erosion_(morphology)
* @memberof Image
* @instance
* @param {object} [options]
* @param {Array>} [options.kernel] - The kernel can only have ones and zeros. Default: [[1, 1, 1], [1, 1, 1], [1, 1, 1]]
* @param {number} [options.iterations=1] - The number of successive erosions
* @return {Image}
*/
function erode() {
let options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};
let {
kernel = [[1, 1, 1], [1, 1, 1], [1, 1, 1]],
iterations = 1
} = options;
this.checkProcessable('erode', {
bitDepth: [1, 8, 16],
components: 1,
alpha: 0
});
if (kernel.columns % 2 === 0 || kernel.rows % 2 === 0) {
throw new TypeError('erode: The number of rows and columns of the kernel must be odd');
}
let onlyOnes = true;
outer: for (const row of kernel) {
for (const value of row) {
if (value !== 1) {
onlyOnes = false;
break outer;
}
}
}
let result = this;
for (let i = 0; i < iterations; i++) {
if (this.bitDepth === 1) {
if (onlyOnes) {
const newImage = result.clone();
result = erodeOnceBinaryOnlyOnes(result, newImage, kernel.length, kernel[0].length);
} else {
const newImage = Image.createFrom(result);
result = erodeOnceBinary(result, newImage, kernel);
}
} else if (onlyOnes) {
const newImage = Image.createFrom(result);
result = erodeOnceGreyOnlyOnes(result, newImage, kernel.length, kernel[0].length);
} else {
const newImage = Image.createFrom(result);
result = erodeOnceGrey(result, newImage, kernel);
}
}
return result;
}
function erodeOnceGrey(img, newImage, kernel) {
const kernelWidth = kernel.length;
const kernelHeight = kernel[0].length;
let radiusX = (kernelWidth - 1) / 2;
let radiusY = (kernelHeight - 1) / 2;
for (let y = 0; y < img.height; y++) {
for (let x = 0; x < img.width; x++) {
let min = img.maxValue;
for (let jj = 0; jj < kernelHeight; jj++) {
for (let ii = 0; ii < kernelWidth; ii++) {
if (kernel[ii][jj] !== 1) continue;
let i = ii - radiusX + x;
let j = jj - radiusY + y;
if (i < 0 || j < 0 || i >= img.width || j >= img.height) continue;
const value = img.getValueXY(i, j, 0);
if (value < min) min = value;
}
}
newImage.setValueXY(x, y, 0, min);
}
}
return newImage;
}
function erodeOnceGreyOnlyOnes(img, newImage, kernelWidth, kernelHeight) {
const radiusX = (kernelWidth - 1) / 2;
const radiusY = (kernelHeight - 1) / 2;
const minList = [];
for (let x = 0; x < img.width; x++) {
minList.push(0);
}
for (let y = 0; y < img.height; y++) {
for (let x = 0; x < img.width; x++) {
let min = img.maxValue;
for (let h = Math.max(0, y - radiusY); h < Math.min(img.height, y + radiusY + 1); h++) {
const value = img.getValueXY(x, h, 0);
if (value < min) {
min = value;
}
}
minList[x] = min;
}
for (let x = 0; x < img.width; x++) {
let min = img.maxValue;
for (let i = Math.max(0, x - radiusX); i < Math.min(img.width, x + radiusX + 1); i++) {
if (minList[i] < min) {
min = minList[i];
}
}
newImage.setValueXY(x, y, 0, min);
}
}
return newImage;
}
function erodeOnceBinary(img, newImage, kernel) {
const kernelWidth = kernel.length;
const kernelHeight = kernel[0].length;
let radiusX = (kernelWidth - 1) / 2;
let radiusY = (kernelHeight - 1) / 2;
for (let y = 0; y < img.height; y++) {
for (let x = 0; x < img.width; x++) {
let min = 1;
intLoop: for (let jj = 0; jj < kernelHeight; jj++) {
for (let ii = 0; ii < kernelWidth; ii++) {
if (kernel[ii][jj] !== 1) continue;
let i = ii - radiusX + x;
let j = jj - radiusY + y;
if (j < 0 || i < 0 || i >= img.width || j >= img.height) continue;
const value = img.getBitXY(i, j);
if (value === 0) {
min = 0;
break intLoop;
}
}
}
if (min === 1) {
newImage.setBitXY(x, y);
}
}
}
return newImage;
}
function erodeOnceBinaryOnlyOnes(img, newImage, kernelWidth, kernelHeight) {
const radiusX = (kernelWidth - 1) / 2;
const radiusY = (kernelHeight - 1) / 2;
const minList = [];
for (let x = 0; x < img.width; x++) {
minList.push(0);
}
for (let y = 0; y < img.height; y++) {
for (let x = 0; x < img.width; x++) {
minList[x] = 1;
for (let h = Math.max(0, y - radiusY); h < Math.min(img.height, y + radiusY + 1); h++) {
if (img.getBitXY(x, h) === 0) {
minList[x] = 0;
break;
}
}
}
for (let x = 0; x < img.width; x++) {
if (newImage.getBitXY(x, y) === 0) continue;
for (let i = Math.max(0, x - radiusX); i < Math.min(img.width, x + radiusX + 1); i++) {
if (minList[i] === 0) {
newImage.clearBitXY(x, y);
break;
}
}
}
}
return newImage;
}
/**
* In mathematical morphology, opening is the dilation of the erosion of a set A by a structuring element B.
* Together with closing, the opening serves in computer vision and image processing as a basic workhorse of morphological noise removal.
* Opening removes small objects from the foreground (usually taken as the bright pixels) of an image,
* placing them in the background, while closing removes small holes in the foreground, changing small islands of background into foreground. (Wikipedia)
* http://docs.opencv.org/2.4/doc/tutorials/imgproc/opening_closing_hats/opening_closing_hats.html
* @memberof Image
* @instance
* @param {object} [options]
* @param {Array>} [options.kernel] - The kernel can only have ones and zeros. Default: [[1, 1, 1], [1, 1, 1], [1, 1, 1]]
* @param {number} [options.iterations=1] - Number of iterations of the morphological transform
* @return {Image}
*/
function open() {
let options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};
let {
kernel = [[1, 1, 1], [1, 1, 1], [1, 1, 1]],
iterations = 1
} = options;
this.checkProcessable('open', {
bitDepth: [8, 16],
components: 1,
alpha: 0
});
if (kernel.columns % 2 === 0 || kernel.rows % 2 === 0) {
throw new TypeError('open: The number of rows and columns of the kernel must be odd');
}
let newImage = this;
for (let i = 0; i < iterations; i++) {
newImage = newImage.erode({
kernel
});
newImage = newImage.dilate({
kernel
});
}
return newImage;
}
/**
* In mathematical morphology, the closing of a set A by a structuring element B is the erosion of the dilation of that set (Wikipedia).
* In image processing, closing is, together with opening, the basic workhorse of morphological noise removal.
* Opening removes small objects, while closing removes small holes.
* http://docs.opencv.org/2.4/doc/tutorials/imgproc/opening_closing_hats/opening_closing_hats.html
* @memberof Image
* @instance
* @param {object} [options]
* @param {Array>} [options.kernel] - The kernel can only have ones and zeros. Default: [[1, 1, 1], [1, 1, 1], [1, 1, 1]]
* @param {number} [options.iterations=1] - Number of iterations of the morphological transform
* @return {Image}
*/
function close() {
let options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};
let {
kernel = [[1, 1, 1], [1, 1, 1], [1, 1, 1]],
iterations = 1
} = options;
this.checkProcessable('close', {
bitDepth: [1, 8, 16],
components: 1,
alpha: 0
});
if (kernel.columns % 2 === 0 || kernel.rows % 2 === 0) {
throw new TypeError('close: The number of rows and columns of the kernel must be odd');
}
let newImage = this;
for (let i = 0; i < iterations; i++) {
newImage = newImage.dilate({
kernel
}).erode({
kernel
});
}
return newImage;
}
/**
* This function is the white top hat (also called top hat). In mathematical morphology and digital image processing,
* top-hat transform is an operation that extracts small elements and details from given images.
* The white top-hat transform is defined as the difference between the input image and its opening by some structuring element.
* Top-hat transforms are used for various image processing tasks, such as feature extraction, background equalization, image enhancement, and others. (Wikipedia)
* http://docs.opencv.org/2.4/doc/tutorials/imgproc/opening_closing_hats/opening_closing_hats.html
* @memberof Image
* @instance
* @param {object} [options]
* @param {Array>} [options.kernel] - The kernel can only have ones and zeros. Default: [[1, 1, 1], [1, 1, 1], [1, 1, 1]]
* @param {number} [options.iterations=1] - Number of iterations of the morphological transform
* @return {Image}
*/
function topHat() {
let options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};
let {
kernel = [[1, 1, 1], [1, 1, 1], [1, 1, 1]],
iterations = 1
} = options;
this.checkProcessable('topHat', {
bitDepth: [8, 16],
components: 1,
alpha: 0
});
if (kernel.length % 2 === 0 || kernel[0].length % 2 === 0) {
throw new TypeError('topHat: The number of rows and columns of the kernel must be odd');
}
let newImage = this;
for (let i = 0; i < iterations; i++) {
let openImage = newImage.open({
kernel
});
newImage = openImage.subtractImage(newImage, {
absolute: true
});
}
return newImage;
}
/**
* This function is the black top hat (also called black hat).
* In mathematical morphology and digital image processing,
* top-hat transform is an operation that extracts small elements and details from given images.
* The black top-hat transform is defined dually as the difference between the closed and the input image.
* Top-hat transforms are used for various image processing tasks, such as feature extraction, background equalization,
* image enhancement, and others. (Wikipedia)
* http://docs.opencv.org/2.4/doc/tutorials/imgproc/opening_closing_hats/opening_closing_hats.html
* @memberof Image
* @instance
* @param {object} [options]
* @param {Array>} [options.kernel] - The kernel can only have ones and zeros. Default: [[1, 1, 1], [1, 1, 1], [1, 1, 1]]
* @param {number} [options.iterations=1] - Number of iterations of the morphological transform
* @return {Image}
*/
function blackHat() {
let options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};
let {
kernel = [[1, 1, 1], [1, 1, 1], [1, 1, 1]],
iterations = 1
} = options;
this.checkProcessable('blackHat', {
bitDepth: [8, 16],
components: 1,
alpha: 0
});
if (kernel.columns % 2 === 0 || kernel.rows % 2 === 0) {
throw new TypeError('blackHat: The number of rows and columns of the kernel must be odd');
}
let newImage = this;
for (let i = 0; i < iterations; i++) {
const closeImage = newImage.close({
kernel
});
newImage = closeImage.subtractImage(newImage, {
absolute: true
});
}
return newImage;
}
/**
* In mathematical morphology and digital image processing, a morphological gradient is the difference between the dilation and the erosion of a given image. It is an image where each pixel value (typically non-negative) indicates the contrast intensity in the close neighborhood of that pixel. It is useful for edge detection and segmentation applications.
* http://docs.opencv.org/2.4/doc/tutorials/imgproc/opening_closing_hats/opening_closing_hats.html
* @memberof Image
* @instance
* @param {object} [options]
* @param {Array>} [options.kernel] - The kernel can only have ones and zeros. Default: [[1, 1, 1], [1, 1, 1], [1, 1, 1]]
* @param {number} [options.iterations=1] - Number of iterations of the morphological transform
* @return {Image}
*/
function morphologicalGradient() {
let options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};
let {
kernel = [[1, 1, 1], [1, 1, 1], [1, 1, 1]],
iterations = 1
} = options;
this.checkProcessable('morphologicalGradient', {
bitDepth: [8, 16],
components: 1,
alpha: 0
});
if (kernel.columns % 2 === 0 || kernel.rows % 2 === 0) {
throw new TypeError('morphologicalGradient: The number of rows and columns of the kernel must be odd');
}
let newImage = this;
for (let i = 0; i < iterations; i++) {
let dilatedImage = newImage.dilate({
kernel
});
let erodedImage = newImage.erode({
kernel
});
newImage = dilatedImage.subtractImage(erodedImage, {
absolute: true
});
}
return newImage;
}
// REFERENCES :
function order4Points(pts) {
let tl = 0;
let tr = 0;
let br = 0;
let bl = 0;
let minX = pts[0][0];
let indexMinX = 0;
for (let i = 1; i < pts.length; i++) {
if (pts[i][0] < minX) {
minX = pts[i][0];
indexMinX = i;
}
}
let minX2 = pts[(indexMinX + 1) % pts.length][0];
let indexMinX2 = (indexMinX + 1) % pts.length;
for (let i = 1; i < pts.length; i++) {
if (pts[i][0] < minX2 && i !== indexMinX) {
minX2 = pts[i][0];
indexMinX2 = i;
}
}
if (pts[indexMinX2][1] < pts[indexMinX][1]) {
tl = pts[indexMinX2];
bl = pts[indexMinX];
if (indexMinX !== (indexMinX2 + 1) % 4) {
tr = pts[(indexMinX2 + 1) % 4];
br = pts[(indexMinX2 + 2) % 4];
} else {
tr = pts[(indexMinX2 + 2) % 4];
br = pts[(indexMinX2 + 3) % 4];
}
} else {
bl = pts[indexMinX2];
tl = pts[indexMinX];
if (indexMinX2 !== (indexMinX + 1) % 4) {
tr = pts[(indexMinX + 1) % 4];
br = pts[(indexMinX + 2) % 4];
} else {
tr = pts[(indexMinX + 2) % 4];
br = pts[(indexMinX + 3) % 4];
}
}
return [tl, tr, br, bl];
}
function distance2Points(p1, p2) {
return Math.sqrt(Math.pow(p1[0] - p2[0], 2) + Math.pow(p1[1] - p2[1], 2));
}
function crossVect(u, v) {
let result = [u[1] * v[2] - u[2] * v[1], u[2] * v[0] - u[0] * v[2], u[0] * v[1] - u[1] * v[0]];
return result;
}
function dotVect(u, v) {
let result = u[0] * v[0] + u[1] * v[1] + u[2] * v[2];
return result;
}
function computeWidthAndHeigth(tl, tr, br, bl, widthImage, heightImage) {
let w = Math.max(distance2Points(tl, tr), distance2Points(bl, br));
let h = Math.max(distance2Points(tl, bl), distance2Points(tr, br));
let finalW = 0;
let finalH = 0;
let u0 = Math.ceil(widthImage / 2);
let v0 = Math.ceil(heightImage / 2);
let arVis = w / h;
let m1 = [tl[0], tl[1], 1];
let m2 = [tr[0], tr[1], 1];
let m3 = [bl[0], bl[1], 1];
let m4 = [br[0], br[1], 1];
let k2 = dotVect(crossVect(m1, m4), m3) / dotVect(crossVect(m2, m4), m3);
let k3 = dotVect(crossVect(m1, m4), m2) / dotVect(crossVect(m3, m4), m2);
let n2 = [k2 * m2[0] - m1[0], k2 * m2[1] - m1[1], k2 * m2[2] - m1[2]];
let n3 = [k3 * m3[0] - m1[0], k3 * m3[1] - m1[1], k3 * m3[2] - m1[2]];
let n21 = n2[0];
let n22 = n2[1];
let n23 = n2[2];
let n31 = n3[0];
let n32 = n3[1];
let n33 = n3[2];
let f = 1.0 / (n23 * n33) * (n21 * n31 - (n21 * n33 + n23 * n31) * u0 + n23 * n33 * u0 * u0 + (n22 * n32 - (n22 * n33 + n23 * n32) * v0 + n23 * n33 * v0 * v0));
if (f >= 0) {
f = Math.sqrt(f);
} else {
f = Math.sqrt(-f);
}
let A = new Matrix$2([[f, 0, u0], [0, f, v0], [0, 0, 1]]);
let At = A.transpose();
let Ati = inverse(At);
let Ai = inverse(A);
let n2R = Matrix$2.rowVector(n2);
let n3R = Matrix$2.rowVector(n3);
let arReal = Math.sqrt(dotVect(n2R.mmul(Ati).mmul(Ai).to1DArray(), n2) / dotVect(n3R.mmul(Ati).mmul(Ai).to1DArray(), n3));
if (arReal === 0 || arVis === 0) {
finalW = Math.ceil(w);
finalH = Math.ceil(h);
} else if (arReal < arVis) {
finalW = Math.ceil(w);
finalH = Math.ceil(finalW / arReal);
} else {
finalH = Math.ceil(h);
finalW = Math.ceil(arReal * finalH);
}
return [finalW, finalH];
}
function projectionPoint(x, y, a, b, c, d, e, f, g, h, image, channel) {
let [newX, newY] = [(a * x + b * y + c) / (g * x + h * y + 1), (d * x + e * y + f) / (g * x + h * y + 1)];
return image.getValueXY(Math.floor(newX), Math.floor(newY), channel);
}
/**
* Transform a quadrilateral into a rectangle
* @memberof Image
* @instance
* @param {Array>} [pts] - Array of the four corners.
* @param {object} [options]
* @param {boolean} [options.calculateRatio=true] - true if you want to calculate the aspect ratio "width x height" by taking the perspectiv into consideration.
* @return {Image} The new image, which is a rectangle
* @example
* var cropped = image.warpingFourPoints({
* pts: [[0,0], [100, 0], [80, 50], [10, 50]]
* });
*/
function warpingFourPoints(pts) {
let options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
let {
calculateRatio = true
} = options;
if (pts.length !== 4) {
throw new Error(`The array pts must have four elements, which are the four corners. Currently, pts have ${pts.length} elements`);
}
let [pt1, pt2, pt3, pt4] = pts;
let quadrilaterial = [pt1, pt2, pt3, pt4];
let [tl, tr, br, bl] = order4Points(quadrilaterial);
let widthRect;
let heightRect;
if (calculateRatio) {
[widthRect, heightRect] = computeWidthAndHeigth(tl, tr, br, bl, this.width, this.height);
} else {
widthRect = Math.ceil(Math.max(distance2Points(tl, tr), distance2Points(bl, br)));
heightRect = Math.ceil(Math.max(distance2Points(tl, bl), distance2Points(tr, br)));
}
let newImage = Image.createFrom(this, {
width: widthRect,
height: heightRect
});
let [X1, Y1] = tl;
let [X2, Y2] = tr;
let [X3, Y3] = br;
let [X4, Y4] = bl;
let [x1, y1] = [0, 0];
let [x2, y2] = [0, widthRect - 1];
let [x3, y3] = [heightRect - 1, widthRect - 1];
let [x4, y4] = [heightRect - 1, 0];
let S = new Matrix$2([[x1, y1, 1, 0, 0, 0, -x1 * X1, -y1 * X1], [x2, y2, 1, 0, 0, 0, -x2 * X2, -y2 * X2], [x3, y3, 1, 0, 0, 0, -x3 * X3, -y1 * X3], [x4, y4, 1, 0, 0, 0, -x4 * X4, -y4 * X4], [0, 0, 0, x1, y1, 1, -x1 * Y1, -y1 * Y1], [0, 0, 0, x2, y2, 1, -x2 * Y2, -y2 * Y2], [0, 0, 0, x3, y3, 1, -x3 * Y3, -y3 * Y3], [0, 0, 0, x4, y4, 1, -x4 * Y4, -y4 * Y4]]);
let D = Matrix$2.columnVector([X1, X2, X3, X4, Y1, Y2, Y3, Y4]);
let svd = new SingularValueDecomposition(S);
let T = svd.solve(D); // solve S*T = D
let [a, b, c, d, e, f, g, h] = T.to1DArray();
let Xt = new Matrix$2(heightRect, widthRect);
for (let channel = 0; channel < this.channels; channel++) {
for (let i = 0; i < heightRect; i++) {
for (let j = 0; j < widthRect; j++) {
Xt.set(i, j, projectionPoint(i, j, a, b, c, d, e, f, g, h, this, channel));
}
}
newImage.setMatrix(Xt, {
channel: channel
});
}
return newImage;
}
/**
* Crops the image
* @memberof Image
* @instance
* @param {object} [options]
* @param {number} [options.x=0] - x coordinate to place the zero of the new image
* @param {number} [options.y=0] - y coordinate to place the zero of the new image
* @param {number} [options.width=this.width-x] - width of the new image
* @param {number} [options.height=this.height-y] - height of the new image
* @return {Image} The new cropped image
* @example
* var cropped = image.crop({
* x:0,
* y:0
* });
*/
function crop() {
let options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};
let {
x = 0,
y = 0,
width = this.width - x,
height = this.height - y
} = options;
this.checkProcessable('crop', {
bitDepth: [1, 8, 16]
});
x = Math.round(x);
y = Math.round(y);
width = Math.round(width);
height = Math.round(height);
if (x > this.width - 1 || y > this.height - 1) {
throw new RangeError(`crop: origin (x:${x}, y:${y}) out of range (${this.width - 1}; ${this.height - 1})`);
}
if (width <= 0 || height <= 0) {
throw new RangeError(`crop: width and height (width:${width}; height:${height}) must be positive numbers`);
}
if (x < 0 || y < 0) {
throw new RangeError(`crop: x and y (x:${x}, y:${y}) must be positive numbers`);
}
if (width > this.width - x || height > this.height - y) {
throw new RangeError(`crop: (x: ${x}, y:${y}, width:${width}, height:${height}) size is out of range`);
}
let result = this;
if (this.bitDepth === 1) {
const newImage = new Image(width, height, {
kind: 'BINARY',
parent: this
});
result = cropBinary(this, newImage, x, y, width, height);
} else {
const newImage = Image.createFrom(this, {
width,
height,
position: [x, y]
});
result = cropDefault(this, newImage, x, y, width, height);
}
return result;
}
function cropDefault(img, newImage, x, y, width, height) {
let xWidth = width * img.channels;
let y1 = y + height;
let ptr = 0; // pointer for new array
let jLeft = x * img.channels;
for (let i = y; i < y1; i++) {
let j = i * img.width * img.channels + jLeft;
let jL = j + xWidth;
for (; j < jL; j++) {
newImage.data[ptr++] = img.data[j];
}
}
return newImage;
}
function cropBinary(img, newImage, x, y, width, height) {
let xWidth = width * img.channels;
let y1 = y + height;
let ptr = 0; // pointer for new array
let jLeft = x * img.channels;
for (let i = y; i < y1; i++) {
let j = i * img.width * img.channels + jLeft;
let jL = j + xWidth;
for (; j < jL; j++) {
if (img.getBit(j)) {
newImage.setBit(ptr);
}
++ptr;
}
}
return newImage;
}
/**
* Crops the image based on the alpha channel
* This removes lines and columns where the alpha channel is lower than a threshold value.
* @memberof Image
* @instance
* @param {object} [options]
* @param {number} [options.threshold=this.maxValue]
* @return {Image}
*/
function cropAlpha() {
let options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};
this.checkProcessable('cropAlpha', {
alpha: 1
});
const {
threshold = this.maxValue
} = options;
let left = findLeft(this, threshold, this.components);
if (left === -1) {
throw new Error('Could not find new dimensions. Threshold may be too high.');
}
let top = findTop(this, threshold, this.components, left);
let bottom = findBottom(this, threshold, this.components, left);
let right = findRight(this, threshold, this.components, left, top, bottom);
return this.crop({
x: left,
y: top,
width: right - left + 1,
height: bottom - top + 1
});
}
function findLeft(image, threshold, channel) {
for (let x = 0; x < image.width; x++) {
for (let y = 0; y < image.height; y++) {
if (image.getValueXY(x, y, channel) >= threshold) {
return x;
}
}
}
return -1;
}
function findTop(image, threshold, channel, left) {
for (let y = 0; y < image.height; y++) {
for (let x = left; x < image.width; x++) {
if (image.getValueXY(x, y, channel) >= threshold) {
return y;
}
}
}
return -1;
}
function findBottom(image, threshold, channel, left) {
for (let y = image.height - 1; y >= 0; y--) {
for (let x = left; x < image.width; x++) {
if (image.getValueXY(x, y, channel) >= threshold) {
return y;
}
}
}
return -1;
}
function findRight(image, threshold, channel, left, top, bottom) {
for (let x = image.width - 1; x >= left; x--) {
for (let y = top; y <= bottom; y++) {
if (image.getValueXY(x, y, channel) >= threshold) {
return x;
}
}
}
return -1;
}
/**
* Converts a factor value to a number between 0 and 1
* @private
* @param {string|number} value
* @return {number}
*/
function getFactor(value) {
if (typeof value === 'string') {
const last = value[value.length - 1];
value = parseFloat(value);
if (last === '%') {
value /= 100;
}
}
return value;
}
/**
* We can specify a threshold as "0.4", "40%" or 123
* @private
* @param {string|number} value
* @param {number} maxValue
* @return {number}
*/
function getThreshold$1(value, maxValue) {
if (!maxValue) {
throw Error('getThreshold : the maxValue should be specified');
}
if (typeof value === 'string') {
let last = value[value.length - 1];
if (last !== '%') {
throw Error('getThreshold : if the value is a string it must finish by %');
}
return parseFloat(value) / 100 * maxValue;
} else if (typeof value === 'number') {
if (value < 1) {
return value * maxValue;
}
return value;
} else {
throw Error('getThreshold : the value is not valid');
}
}
function factorDimensions(factor, width, height) {
factor = getFactor(factor);
let newWidth = Math.round(factor * width);
let newHeight = Math.round(factor * height);
if (newWidth <= 0) {
newWidth = 1;
}
if (newHeight <= 0) {
newHeight = 1;
}
return {
width: newWidth,
height: newHeight
};
}
function checkRow(image, row) {
if (row < 0 || row >= image.height) {
throw new RangeError(`row must be included between 0 and ${image.height - 1}. Current value: ${row}`);
}
}
function checkColumn(image, column) {
if (column < 0 || column >= image.width) {
throw new RangeError(`column must be included between 0 and ${image.width - 1}. Current value: ${column}`);
}
}
function checkChannel(image, channel) {
if (channel < 0 || channel >= image.channels) {
throw new RangeError(`channel must be included between 0 and ${image.channels - 1}. Current value: ${channel}`);
}
}
/**
* @typedef {('nearestNeighbor'|'bilinear')} InterpolationAlgorithm
*/
const validInterpolations = {
nearestneighbor: 'nearestNeighbor',
nearestneighbour: 'nearestNeighbor',
bilinear: 'bilinear'
};
function checkInterpolation(interpolation) {
if (typeof interpolation !== 'string') {
throw new TypeError('interpolation must be a string');
}
interpolation = interpolation.toLowerCase();
if (!validInterpolations[interpolation]) {
throw new RangeError(`invalid interpolation algorithm: ${interpolation}`);
}
return validInterpolations[interpolation];
}
/**
* Nearest neighbor resizing algorithm
* @private
* @param {Image} newImage
* @param {number} newWidth
* @param {number} newHeight
*/
function nearestNeighbor(newImage, newWidth, newHeight) {
const wRatio = this.width / newWidth;
const hRatio = this.height / newHeight;
if (this.bitDepth > 1) {
for (let i = 0; i < newWidth; i++) {
const w = Math.floor((i + 0.5) * wRatio);
for (let j = 0; j < newHeight; j++) {
const h = Math.floor((j + 0.5) * hRatio);
for (let c = 0; c < this.channels; c++) {
newImage.setValueXY(i, j, c, this.getValueXY(w, h, c));
}
}
}
} else {
for (let i = 0; i < newWidth; i++) {
const w = Math.floor((i + 0.5) * wRatio);
for (let j = 0; j < newHeight; j++) {
const h = Math.floor((j + 0.5) * hRatio);
if (this.getBitXY(w, h)) {
newImage.setBitXY(i, j);
}
}
}
}
}
/**
* Resize an image
* @memberof Image
* @instance
* @param {object} [options]
* @param {number} [options.width=this.width] - new width
* @param {number} [options.height=this.height] - new height
* @param {number} [options.factor=1] - scaling factor (applied to the new width and height values)
* @param {InterpolationAlgorithm} [options.interpolation='nearestNeighbor']
* @param {boolean} [options.preserveAspectRatio=true] - preserve width/height ratio if only one of them is defined
* @return {Image}
*/
function resize() {
let options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};
const {
factor = 1,
interpolation = validInterpolations.nearestneighbor,
preserveAspectRatio = true
} = options;
const interpolationToUse = checkInterpolation(interpolation);
let width = options.width;
let height = options.height;
if (!width) {
if (height && preserveAspectRatio) {
width = Math.round(height * (this.width / this.height));
} else {
width = this.width;
}
}
if (!height) {
if (preserveAspectRatio) {
height = Math.round(width * (this.height / this.width));
} else {
height = this.height;
}
}
({
width,
height
} = factorDimensions(factor, width, height));
if (width === this.width && height === this.height) {
const newImage = this.clone();
newImage.position = [0, 0];
return newImage;
}
let shiftX = Math.round((this.width - width) / 2);
let shiftY = Math.round((this.height - height) / 2);
const newImage = Image.createFrom(this, {
width,
height,
position: [shiftX, shiftY]
});
switch (interpolationToUse) {
case validInterpolations.nearestneighbor:
nearestNeighbor.call(this, newImage, width, height);
break;
default:
throw new Error(`unsupported resize interpolation: ${interpolationToUse}`);
}
return newImage;
}
// based on https://bgrins.github.io/TinyColor/docs/tinycolor.html
/**
* Make a copy of the current image and convert the color model to HSV
* The source image has to be RGB !
* @memberof Image
* @instance
* @return {Image} - New image in HSV color model
* @example
* var hsvImage = image.hsv();
* // we can create one image per channel
* var channels = hsvImage.split();
*/
function hsv() {
this.checkProcessable('hsv', {
bitDepth: [8, 16],
alpha: [0, 1],
colorModel: [RGB$1]
});
let newImage = Image.createFrom(this, {
colorModel: HSV
});
let ptr = 0;
let data = this.data;
for (let i = 0; i < data.length; i += this.channels) {
let red = data[i];
let green = data[i + 1];
let blue = data[i + 2];
let min = Math.min(red, green, blue);
let max = Math.max(red, green, blue);
let delta = max - min;
let hue = 0;
let saturation = max === 0 ? 0 : delta / max;
let value = max;
if (max !== min) {
switch (max) {
case red:
hue = (green - blue) / delta + (green < blue ? 6 : 0);
break;
case green:
hue = (blue - red) / delta + 2;
break;
case blue:
hue = (red - green) / delta + 4;
break;
default:
throw new Error('unreachable');
}
hue /= 6;
}
newImage.data[ptr++] = hue * this.maxValue;
newImage.data[ptr++] = saturation * this.maxValue;
newImage.data[ptr++] = value;
if (this.alpha) {
newImage.data[ptr++] = data[i + 3];
}
}
return newImage;
}
// http://www.easyrgb.com/index.php?X=MATH&H=18#text18
/**
* Make a copy of the current image and convert the color model to HSL
* The source image has to be RGB !
* @memberof Image
* @instance
* @return {Image} - New image in HSL color model
* @example
* var hslImage = image.hsl();
* // we can create one image per channel
* var channels = hslImage.split();
*/
function hsl$1() {
this.checkProcessable('hsl', {
bitDepth: [8, 16],
alpha: [0, 1],
colorModel: [RGB$1]
});
let newImage = Image.createFrom(this, {
colorModel: HSL
});
let threshold = Math.floor(this.maxValue / 2);
let ptr = 0;
let data = this.data;
for (let i = 0; i < data.length; i += this.channels) {
let red = data[i];
let green = data[i + 1];
let blue = data[i + 2];
let max = Math.max(red, green, blue);
let min = Math.min(red, green, blue);
let hue = 0;
let saturation = 0;
let luminance = (max + min) / 2;
if (max !== min) {
let delta = max - min;
saturation = luminance > threshold ? delta / (2 - max - min) : delta / (max + min);
switch (max) {
case red:
hue = (green - blue) / delta + (green < blue ? 6 : 0);
break;
case green:
hue = (blue - red) / delta + 2;
break;
case blue:
hue = (red - green) / delta + 4;
break;
default:
throw new Error('unreachable');
}
hue /= 6;
}
newImage.data[ptr++] = hue * this.maxValue;
newImage.data[ptr++] = saturation * this.maxValue;
newImage.data[ptr++] = luminance;
if (this.alpha) {
newImage.data[ptr++] = data[i + 3];
}
}
return newImage;
}
// http://www.easyrgb.com/index.php?X=MATH&H=18#text18
/**
* Make a copy of the current image and convert the color model to CMYK
* The source image has to be RGB !
* @memberof Image
* @instance
* @return {Image} - New image in CMYK color model
* @example
* var cmykImage = image.cmyk();
* // we can create one image per channel
* var channels = cmykImage.split();
*/
function cmyk() {
this.checkProcessable('cmyk', {
bitDepth: [8, 16],
alpha: [0, 1],
colorModel: [RGB$1]
});
let newImage = Image.createFrom(this, {
components: 4,
colorModel: CMYK$1
});
let ptr = 0;
let data = this.data;
for (let i = 0; i < data.length; i += this.channels) {
let red = data[i];
let green = data[i + 1];
let blue = data[i + 2];
let black = Math.min(this.maxValue - red, this.maxValue - green, this.maxValue - blue);
let cyan = (this.maxValue - red - black) / (1 - black / this.maxValue);
let magenta = (this.maxValue - green - black) / (1 - black / this.maxValue);
let yellow = (this.maxValue - blue - black) / (1 - black / this.maxValue);
newImage.data[ptr++] = Math.round(cyan);
newImage.data[ptr++] = Math.round(magenta);
newImage.data[ptr++] = Math.round(yellow);
newImage.data[ptr++] = Math.round(black);
if (this.alpha) {
newImage.data[ptr++] = data[i + 3];
}
}
return newImage;
}
/**
* Make a copy of the current image and convert to RGBA 8 bits
* Those images are the one that are displayed in a canvas.
* RGB model in 8 bits per channel and containing as well an alpha channel.
* The source image may be:
* * a mask (binary image)
* * a grey image (8, 16 or 32 bits) with or without alpha channel
* * a color image (8, 16 or 32 bits) with or without alpha channel in with RGB model
* * when the image is 32 bits, a rescaling is performed from the min and max values
* * to map values from 0 to 255
* The conversion is based on {@link Image#getRGBAData}.
* @memberof Image
* @instance
* @return {Image} - New image in RGB color model with alpha channel
* @example
* var rgbaImage = image.rgba8();
*/
function rgba8() {
return new Image(this.width, this.height, this.getRGBAData(), {
kind: 'RGBA',
parent: this
});
}
/**
* @typedef {('luma709'|'luma601'|'maximum'|'minimum'|'average'|'minmax'|'red'|'green'|'blue'|'cyan'|'magenta'|'yellow'|'black'|'hue'|'saturation'|'lightness')} GreyAlgorithm
*/
const methods$1 = {
luma709(red, green, blue) {
// sRGB
// return red * 0.2126 + green * 0.7152 + blue * 0.0722;
// Let's do a little trick ... in order not convert the integer to a double we do
// the multiplication with integer to reach a total of 32768 and then shift the bits
// of 15 to the right
// This does a Math.floor and may lead to small (max 1) difference
// Same result, > 10% faster on the full grey conversion
return red * 6966 + green * 23436 + blue * 2366 >> 15;
},
luma601(red, green, blue) {
// NTSC
// return this.red * 0.299 + green * 0.587 + blue * 0.114;
return red * 9798 + green * 19235 + blue * 3735 >> 15;
},
maximum(red, green, blue) {
return Math.max(red, green, blue);
},
minimum(red, green, blue) {
return Math.min(red, green, blue);
},
average(red, green, blue) {
return (red + green + blue) / 3 >> 0;
},
minmax(red, green, blue) {
return (Math.max(red, green, blue) + Math.min(red, green, blue)) / 2;
},
red(red) {
return red;
},
green(red, green) {
return green;
},
blue(red, green, blue) {
return blue;
},
cyan(red, green, blue, image) {
let black = methods$1.black(red, green, blue, image);
return (image.maxValue - red - black) / (1 - black / image.maxValue) >> 0;
},
magenta(red, green, blue, image) {
let black = methods$1.black(red, green, blue, image);
return (image.maxValue - green - black) / (1 - black / image.maxValue) >> 0;
},
yellow(red, green, blue, image) {
let black = methods$1.black(red, green, blue, image);
return (image.maxValue - blue - black) / (1 - black / image.maxValue) >> 0;
},
black(red, green, blue, image) {
return Math.min(image.maxValue - red, image.maxValue - green, image.maxValue - blue);
},
hue(red, green, blue, image) {
let min = methods$1.min(red, green, blue);
let max = methods$1.max(red, green, blue);
if (max === min) {
return 0;
}
let hue = 0;
let delta = max - min;
switch (max) {
case red:
hue = (green - blue) / delta + (green < blue ? 6 : 0);
break;
case green:
hue = (blue - red) / delta + 2;
break;
case blue:
hue = (red - green) / delta + 4;
break;
default:
throw new Error('unreachable');
}
return hue / 6 * image.maxValue >> 0;
},
saturation(red, green, blue, image) {
// from HSV model
let min = methods$1.min(red, green, blue);
let max = methods$1.max(red, green, blue);
let delta = max - min;
return max === 0 ? 0 : delta / max * image.maxValue;
},
lightness(red, green, blue) {
let min = methods$1.min(red, green, blue);
let max = methods$1.max(red, green, blue);
return (max + min) / 2;
}
};
Object.defineProperty(methods$1, 'luminosity', {
enumerable: false,
value: methods$1.lightness
});
Object.defineProperty(methods$1, 'luminance', {
enumerable: false,
value: methods$1.lightness
});
Object.defineProperty(methods$1, 'min', {
enumerable: false,
value: methods$1.minimum
});
Object.defineProperty(methods$1, 'max', {
enumerable: false,
value: methods$1.maximum
});
Object.defineProperty(methods$1, 'brightness', {
enumerable: false,
value: methods$1.maximum
});
const names$1 = {};
Object.keys(methods$1).forEach(name => {
names$1[name] = name;
});
/**
* Call back that converts the RGB channels to grey. It will be clamped after.
* @callback GreyAlgorithmCallback
* @param {number} red - value of the red channel
* @param {number} green - value of the green channel
* @param {number} blue - value of the blue channel
* @return {number} value of the grey channel
*/
/**
* Converts the current image to greyscale.
* The source image has to be RGB.
* If there is an alpha channel we need to decide what to do:
* * keepAlpha : we will keep the alpha channel and you will get a GREY / A image
* * mergeAlpha : we will multiply each pixel of the image by the alpha
* @memberof Image
* @instance
* @param {object} [options]
* @param {GreyAlgorithm|GreyAlgorithmCallback} [options.algorithm='luma709'] - Algorithm to get the grey value from RGB values
* @param {boolean} [options.keepAlpha=false] - If true, the RGB values are treated
* separately from the alpha channel and the method returns a GREYA image.
* @param {boolean} [options.mergeAlpha=true] - If true, the alpha channel will be used to scale the grey pixel.
* @param {Image} [options.out]
* @return {Image}
*/
function grey() {
let options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};
let {
algorithm = 'luma709',
keepAlpha = false,
mergeAlpha = true
} = options;
if (typeof algorithm !== 'string' && typeof algorithm !== 'function') {
throw new TypeError('algorithm must be a string or a function');
}
this.checkProcessable('grey', {
bitDepth: [8, 16],
alpha: [0, 1]
});
if (this.components === 1) {
algorithm = 'red'; // actually we just take the first channel if it is a grey image
}
keepAlpha &= this.alpha;
mergeAlpha &= this.alpha;
if (keepAlpha) {
mergeAlpha = false;
}
let newImage = getOutputImage(this, options, {
components: 1,
alpha: keepAlpha,
colorModel: GREY$1
});
let method;
if (typeof algorithm === 'function') {
method = algorithm;
} else {
method = methods$1[algorithm.toLowerCase()];
if (!method) {
throw new Error(`unsupported grey algorithm: ${algorithm}`);
}
}
let ptr = 0;
for (let i = 0; i < this.data.length; i += this.channels) {
if (mergeAlpha) {
newImage.data[ptr++] = clamp(method(this.data[i], this.data[i + 1], this.data[i + 2], this) * this.data[i + this.components] / this.maxValue, this);
} else {
newImage.data[ptr++] = clamp(method(this.data[i], this.data[i + 1], this.data[i + 2], this), this);
if (newImage.alpha) {
newImage.data[ptr++] = this.data[i + this.components];
}
}
}
return newImage;
}
/*
*
* see http://rsb.info.nih.gov/ij/developer/source/ij/process/AutoThresholder.java.html.
* Huang: Implements Huang's fuzzy thresholding method: Huang, L-K & Wang, M-J J (1995),
* "Image thresholding by minimizing the measure of fuzziness", Pattern Recognition 28(1): 41-51
*
*/
function huang(histogram) {
/* Determine the first non-zero bin */
let firstBin = 0;
for (let ih = 0; ih < histogram.length; ih++) {
if (histogram[ih] !== 0) {
firstBin = ih;
break;
}
}
/* Determine the last non-zero bin */
let lastBin = histogram.length - 1;
for (let ih = histogram.length - 1; ih >= firstBin; ih--) {
if (histogram[ih] !== 0) {
lastBin = ih;
break;
}
}
let term = 1.0 / (lastBin - firstBin);
let mu0 = new Array(histogram.length);
let sumPix = 0;
let numPix = 0;
for (let ih = firstBin; ih < histogram.length; ih++) {
sumPix += ih * histogram[ih];
numPix += histogram[ih];
mu0[ih] = sumPix / numPix;
}
let mu1 = new Array(histogram.length);
sumPix = numPix = 0;
for (let ih = lastBin; ih > 0; ih--) {
sumPix += ih * histogram[ih];
numPix += histogram[ih];
mu1[ih - 1] = sumPix / numPix;
}
/* Determine the threshold that minimizes the fuzzy entropy*/
let threshold = -1;
let minEnt = Number.MAX_VALUE;
for (let it = 0; it < histogram.length; it++) {
let ent = 0;
let muX;
for (let ih = 0; ih <= it; ih++) {
/* Equation (4) in Ref. 1 */
muX = 1 / (1 + term * Math.abs(ih - mu0[it]));
if (!(muX < 1e-6 || muX > 0.999999)) {
/* Equation (6) & (8) in Ref. 1 */
ent += histogram[ih] * (-muX * Math.log(muX) - (1 - muX) * Math.log(1 - muX));
}
}
for (let ih = it + 1; ih < histogram.length; ih++) {
/* Equation (4) in Ref. 1 */
muX = 1 / (1 + term * Math.abs(ih - mu1[it]));
if (!(muX < 1e-6 || muX > 0.999999)) {
/* Equation (6) & (8) in Ref. 1 */
ent += histogram[ih] * (-muX * Math.log(muX) - (1 - muX) * Math.log(1 - muX));
}
}
if (ent < minEnt) {
minEnt = ent;
threshold = it;
}
}
return threshold;
}
/*
*
* see https://github.com/fiji/Auto_Threshold/blob/master/src/main/java/fiji/threshold/Auto_Threshold.java
* Intermodes: This assumes a bimodal histogram. Implements the thresholding Prewitt, JMS & Mendelsohn, ML (1966),
* "The analysis of cell images", Annals of the NewYork Academy of Sciences 128: 1035-1053
*
*/
function intermodes(histogram) {
let iHisto = histogram.slice();
let iter = 0;
while (!bimodalTest$1(iHisto)) {
// smooth with a 3 point running mean filter
let previous = 0;
let current = 0;
let next = iHisto[0];
for (let i = 0; i < histogram.length - 1; i++) {
previous = current;
current = next;
next = iHisto[i + 1];
iHisto[i] = (previous + current + next) / 3;
}
iHisto[histogram.length - 1] = (current + next) / 3;
iter++;
if (iter > 10000) {
throw new Error('Intermodes Threshold not found after 10000 iterations');
}
} // The threshold is the mean between the two peaks.
let tt = 0;
for (let i = 1; i < histogram.length - 1; i++) {
if (iHisto[i - 1] < iHisto[i] && iHisto[i + 1] < iHisto[i]) {
tt += i;
}
}
return Math.floor(tt / 2.0);
}
function bimodalTest$1(iHisto) {
let b = false;
let modes = 0;
for (let k = 1; k < iHisto.length - 1; k++) {
if (iHisto[k - 1] < iHisto[k] && iHisto[k + 1] < iHisto[k]) {
modes++;
if (modes > 2) {
return false;
}
}
}
if (modes === 2) {
b = true;
}
return b;
}
/*
* see https://github.com/fiji/Auto_Threshold/blob/master/src/main/java/fiji/threshold/Auto_Threshold.java
* Isodata: Ridler, TW & Calvard, S (1978), "Picture thresholding using an iterative selection method"
* IEEE Transactions on Systems, Man and Cybernetics 8: 630-632.
*
*/
function isodata(histogram) {
let l; // the average grey value of pixels with intensities < g
let toth; // the the average grey value of pixels with intensities > g
let totl; // the total the average grey value of pixels with intensities < g
let h; // the average grey value of pixels with intensities > g
let g = 0; // threshold value
for (let i = 1; i < histogram.length; i++) {
if (histogram[i] > 0) {
g = i + 1;
break;
}
}
while (true) {
l = 0;
totl = 0;
for (let i = 0; i < g; i++) {
totl = totl + histogram[i];
l = l + histogram[i] * i;
}
h = 0;
toth = 0;
for (let i = g + 1; i < histogram.length; i++) {
toth += histogram[i];
h += histogram[i] * i;
}
if (totl > 0 && toth > 0) {
l /= totl;
h /= toth;
if (g === Math.round((l + h) / 2.0)) {
break;
}
}
g++;
if (g > histogram.length - 2) {
throw new Error('Threshold not found');
}
}
return g;
}
/*
* see http://rsb.info.nih.gov/ij/developer/source/ij/process/AutoThresholder.java.html
* The method is present in: Implements Li's Minimum Cross Entropy thresholding method
* This implementation is based on the iterative version (Ref. 2nd reference below) of the algorithm.
* 1) Li, CH & Lee, CK (1993), "Minimum Cross Entropy Thresholding", Pattern Recognition 26(4): 61 625
* 2) Li, CH & Tam, PKS (1998), "An Iterative Algorithm for Minimum Cross Entropy Thresholding",
* Pattern Recognition Letters 18(8): 771-776
* 3) Sezgin, M & Sankur, B (2004), "Survey over Image Thresholding Techniques and Quantitative Performance
* Evaluation",Journal of Electronic Imaging 13(1): 146-165
* @param histogram - the histogram of the image
* @param total - the number of pixels in the image
* @returns {number} - the threshold
*/
function li(histogram, total) {
let threshold;
let sumBack;
/* sum of the background pixels at a given threshold */
let sumObj;
/* sum of the object pixels at a given threshold */
let numBack;
/* number of background pixels at a given threshold */
let numObj;
/* number of object pixels at a given threshold */
let oldThresh;
let newThresh;
let meanBack;
/* mean of the background pixels at a given threshold */
let meanObj;
/* mean of the object pixels at a given threshold */
let mean;
/* mean gray-level in the image */
let tolerance;
/* threshold tolerance */
let temp;
tolerance = 0.5;
/* Calculate the mean gray-level */
mean = 0.0;
for (let ih = 0; ih < histogram.length; ih++) {
mean += ih * histogram[ih];
}
mean /= total;
/* Initial estimate */
newThresh = mean;
do {
oldThresh = newThresh;
threshold = oldThresh + 0.5 | 0;
/* range */
/* Calculate the means of background and object pixels */
/* Background */
sumBack = 0;
numBack = 0;
for (let ih = 0; ih <= threshold; ih++) {
sumBack += ih * histogram[ih];
numBack += histogram[ih];
}
meanBack = numBack === 0 ? 0.0 : sumBack / numBack;
/* Object */
sumObj = 0;
numObj = 0;
for (let ih = threshold + 1; ih < histogram.length; ih++) {
sumObj += ih * histogram[ih];
numObj += histogram[ih];
}
meanObj = numObj === 0 ? 0.0 : sumObj / numObj;
temp = (meanBack - meanObj) / (Math.log(meanBack) - Math.log(meanObj));
if (temp < -Number.EPSILON) {
newThresh = temp - 0.5 | 0;
} else {
newThresh = temp + 0.5 | 0;
}
/* Stop the iterations when the difference between the
new and old threshold values is less than the tolerance */
} while (Math.abs(newThresh - oldThresh) > tolerance);
return threshold;
}
/*
* see http://rsb.info.nih.gov/ij/developer/source/ij/process/AutoThresholder.java.html
* The method is present in: Implements Kapur-Sahoo-Wong (Maximum Entropy) thresholding method:
* Kapur, JN; Sahoo, PK & Wong, ACK (1985), "A New Method for Gray-Level Picture Thresholding Using the Entropy of the Histogram",
* Graphical Models and Image Processing 29(3): 273-285
* @param histogram - the histogram of the image
* total - the number of pixels in the image
* @returns {number} - the threshold
*/
function maxEntropy(histogram, total) {
let normHisto = new Array(histogram.length); // normalized histogram
for (let ih = 0; ih < histogram.length; ih++) {
normHisto[ih] = histogram[ih] / total;
}
let P1 = new Array(histogram.length); // cumulative normalized histogram
let P2 = new Array(histogram.length);
P1[0] = normHisto[0];
P2[0] = 1.0 - P1[0];
for (let ih = 1; ih < histogram.length; ih++) {
P1[ih] = P1[ih - 1] + normHisto[ih];
P2[ih] = 1.0 - P1[ih];
}
/* Determine the first non-zero bin */
let firstBin = 0;
for (let ih = 0; ih < histogram.length; ih++) {
if (Math.abs(P1[ih]) >= Number.EPSILON) {
firstBin = ih;
break;
}
}
/* Determine the last non-zero bin */
let lastBin = histogram.length - 1;
for (let ih = histogram.length - 1; ih >= firstBin; ih--) {
if (Math.abs(P2[ih]) >= Number.EPSILON) {
lastBin = ih;
break;
}
} // Calculate the total entropy each gray-level
// and find the threshold that maximizes it
let threshold = -1;
let totEnt; // total entropy
let maxEnt = Number.MIN_VALUE; // max entropy
let entBack; // entropy of the background pixels at a given threshold
let entObj; // entropy of the object pixels at a given threshold
for (let it = firstBin; it <= lastBin; it++) {
/* Entropy of the background pixels */
entBack = 0.0;
for (let ih = 0; ih <= it; ih++) {
if (histogram[ih] !== 0) {
entBack -= normHisto[ih] / P1[it] * Math.log(normHisto[ih] / P1[it]);
}
}
/* Entropy of the object pixels */
entObj = 0.0;
for (let ih = it + 1; ih < histogram.length; ih++) {
if (histogram[ih] !== 0) {
entObj -= normHisto[ih] / P2[it] * Math.log(normHisto[ih] / P2[it]);
}
}
/* Total entropy */
totEnt = entBack + entObj;
if (maxEnt < totEnt) {
maxEnt = totEnt;
threshold = it;
}
}
return threshold;
}
/*
* The method is present in: Uses the mean of grey levels as the threshold. It is described in:
* Glasbey, CA (1993), "An analysis of histogram-based thresholding algorithms",
* CVGIP: Graphical Models and Image Processing 55: 532-537
* @param histogram - the histogram of the image
* @param total - the number of pixels in the image
* @returns {number} - the threshold
*/
function mean$1(histogram, total) {
let sum = 0;
for (let i = 0; i < histogram.length; i++) {
sum += i * histogram[i];
}
return Math.floor(sum / total);
}
/*
* see http://rsb.info.nih.gov/ij/developer/source/ij/process/AutoThresholder.java.html
* The method is present in: An iterative implementation of Kittler and Illingworth's Minimum Error
* thresholding:Kittler, J & Illingworth, J (1986), "Minimum error thresholding", Pattern Recognition 19: 41-47
* @param histogram - the histogram of the image
* @param total - the number of pixels in the image
* @returns {number} - the threshold
*/
function minError(histogram, total) {
let threshold;
let Tprev = -2;
let mu, nu, p, q, sigma2, tau2, w0, w1, w2, sqterm, temp;
/* Calculate the mean gray-level */
let mean = 0.0;
for (let ih = 0; ih < histogram.length; ih++) {
mean += ih * histogram[ih];
}
mean /= total;
threshold = mean;
while (threshold !== Tprev) {
// Calculate some statistics.
let sumA1 = sumA(histogram, threshold);
let sumA2 = sumA(histogram, histogram.length - 1);
let sumB1 = sumB(histogram, threshold);
let sumB2 = sumB(histogram, histogram.length - 1);
let sumC1 = sumC(histogram, threshold);
let sumC2 = sumC(histogram, histogram.length - 1);
mu = sumB1 / sumA1;
nu = (sumB2 - sumB1) / (sumA2 - sumA1);
p = sumA1 / sumA2;
q = (sumA2 - sumA1) / sumA2;
sigma2 = sumC1 / sumA1 - mu * mu;
tau2 = (sumC2 - sumC1) / (sumA2 - sumA1) - nu * nu; // The terms of the quadratic equation to be solved.
w0 = 1.0 / sigma2 - 1.0 / tau2;
w1 = mu / sigma2 - nu / tau2;
w2 = mu * mu / sigma2 - nu * nu / tau2 + Math.log10(sigma2 * (q * q) / (tau2 * (p * p))); // If the next threshold would be imaginary, return with the current one.
sqterm = w1 * w1 - w0 * w2;
if (sqterm < 0) {
return threshold;
} // The updated threshold is the integer part of the solution of the quadratic equation.
Tprev = threshold;
temp = (w1 + Math.sqrt(sqterm)) / w0;
if (isNaN(temp)) {
threshold = Tprev;
} else {
threshold = Math.floor(temp);
}
}
return threshold;
} // aux func
function sumA(y, j) {
let x = 0;
for (let i = 0; i <= j; i++) {
x += y[i];
}
return x;
}
function sumB(y, j) {
let x = 0;
for (let i = 0; i <= j; i++) {
x += i * y[i];
}
return x;
}
function sumC(y, j) {
let x = 0;
for (let i = 0; i <= j; i++) {
x += i * i * y[i];
}
return x;
}
// see https://github.com/fiji/Auto_Threshold/blob/master/src/main/java/fiji/threshold/Auto_Threshold.java
// J. M. S. Prewitt and M. L. Mendelsohn, "The analysis of cell images," in
// Annals of the New York Academy of Sciences, vol. 128, pp. 1035-1053, 1966.
// ported to ImageJ plugin by G.Landini from Antti Niemisto's Matlab code (GPL)
// Original Matlab code Copyright (C) 2004 Antti Niemisto
// See http://www.cs.tut.fi/~ant/histthresh/ for an excellent slide presentation
// and the original Matlab code
function minimum(histogram) {
if (histogram.length < 2) {
// validate that the histogram has at least two color values
return 0;
}
let iterations = 0; // number of iterations of the smoothing process
let threshold = -1;
let max = -1; // maximum color value with a greater number of pixels to 0
let histogramCopy = new Array(histogram.length); // a copy of the histogram
for (let i = 0; i < histogram.length; i++) {
histogramCopy[i] = histogram[i];
if (histogram[i] > 0) {
max = i;
}
}
while (!bimodalTest(histogramCopy)) {
histogramCopy = smoothed(histogramCopy);
iterations++;
if (iterations > 10000) {
// if they occur more than 10000 iterations it returns -1
return threshold;
}
}
threshold = minimumBetweenPeeks(histogramCopy, max);
return threshold;
}
function smoothed(histogram) {
// Smooth with a 3 point running mean filter
let auHistogram = new Array(histogram.length); // a copy of the histograma for the smoothing process
for (let i = 1; i < histogram.length - 1; i++) {
auHistogram[i] = (histogram[i - 1] + histogram[i] + histogram[i + 1]) / 3;
}
auHistogram[0] = (histogram[0] + histogram[1]) / 3;
auHistogram[histogram.length - 1] = (histogram[histogram.length - 2] + histogram[histogram.length - 1]) / 3;
return auHistogram;
}
function minimumBetweenPeeks(histogramBimodal, max) {
let threshold;
for (let i = 1; i < max; i++) {
if (histogramBimodal[i - 1] > histogramBimodal[i] && histogramBimodal[i + 1] >= histogramBimodal[i]) {
threshold = i;
break;
}
}
return threshold;
}
function bimodalTest(histogram) {
// It is responsible for determining if a histogram is bimodal
let len = histogram.length;
let isBimodal = false;
let peaks = 0;
for (let k = 1; k < len - 1; k++) {
if (histogram[k - 1] < histogram[k] && histogram[k + 1] < histogram[k]) {
peaks++;
if (peaks > 2) {
return false;
}
}
}
if (peaks === 2) {
isBimodal = true;
}
return isBimodal;
}
// see https://github.com/fiji/Auto_Threshold/blob/master/src/main/java/fiji/threshold/Auto_Threshold.java
// W. Tsai, "Moment-preserving thresholding: a new approach," Computer Vision,
// Graphics, and Image Processing, vol. 29, pp. 377-393, 1985.
// Ported to ImageJ plugin by G.Landini from the the open source project FOURIER 0.8
// by M. Emre Celebi , Department of Computer Science, Louisiana State University in Shreveport
// Shreveport, LA 71115, USA
// http://sourceforge.net/projects/fourier-ipal
// http://www.lsus.edu/faculty/~ecelebi/fourier.htm
function moments(histogram, total) {
// moments
let m0 = 1.0;
let m1 = 0.0;
let m2 = 0.0;
let m3 = 0.0;
let sum = 0.0;
let p0;
let cd, c0, c1, z0, z1;
/* auxiliary variables */
let threshold = -1;
let histogramLength = histogram.length;
let normalizedHistogram = new Array(histogramLength);
for (let i = 0; i < histogramLength; i++) {
normalizedHistogram[i] = histogram[i] / total;
}
/* Calculate the first, second, and third order moments */
for (let i = 0; i < histogramLength; i++) {
m1 += i * normalizedHistogram[i];
m2 += i * i * normalizedHistogram[i];
m3 += i * i * i * normalizedHistogram[i];
}
/*
First 4 moments of the gray-level image should match the first 4 moments
of the target binary image. This leads to 4 equalities whose solutions
are given in the Appendix of Ref. 1
*/
cd = m0 * m2 - m1 * m1; // determinant of the matriz of hankel for moments 2x2
c0 = (-m2 * m2 + m1 * m3) / cd;
c1 = (m0 * -m3 + m2 * m1) / cd; // new two gray values where z0 p0) {
threshold = i;
break;
}
}
return threshold;
}
/*
* The method is present in: Otsu, N (1979), "A threshold selection method from gray-level histograms", IEEE Trans. Sys., Man., Cyber. 9: 62-66
* The Otsu implementation is based on: https://en.wikipedia.org/wiki/Otsu's_method
* @param histogram - the histogram of the image
* @returns {number} - the threshold
*/
function otsu(histogramCounts, total) {
let sumB = 0;
let wB = 0;
let maximum = 0;
let level = 0;
let sum1 = 0;
for (let i = 0; i < histogramCounts.length; i++) {
sum1 += i * histogramCounts[i];
}
for (let ii = 0; ii < histogramCounts.length; ii++) {
wB = wB + histogramCounts[ii];
const wF = total - wB;
if (wB === 0 || wF === 0) {
continue;
}
sumB = sumB + ii * histogramCounts[ii];
const mF = (sum1 - sumB) / wF;
const between = wB * wF * (sumB / wB - mF) * (sumB / wB - mF);
if (between >= maximum) {
level = ii;
maximum = between;
}
}
return level;
}
// See http://imagej.nih.gov/ij/download/tools/source/ij/process/AutoThresholder.java
// W. Doyle, "Operation useful for similarity-invariant pattern recognition,"
// Journal of the Association for Computing Machinery, vol. 9,pp. 259-267, 1962.
// ported to ImageJ plugin by G.Landini from Antti Niemisto's Matlab code (GPL)
// Original Matlab code Copyright (C) 2004 Antti Niemisto
// See http://www.cs.tut.fi/~ant/histthresh/ for an excellent slide presentation
// and the original Matlab code.
function percentile(histogram) {
let threshold = -1;
let percentile = 0.5; // default fraction of foreground pixels
let avec = new Array(histogram.length);
let total = partialSum(histogram, histogram.length - 1);
let temp = 1.0;
for (let i = 0; i < histogram.length; i++) {
avec[i] = Math.abs(partialSum(histogram, i) / total - percentile);
if (avec[i] < temp) {
temp = avec[i];
threshold = i;
}
}
return threshold;
}
function partialSum(histogram, endIndex) {
let x = 0;
for (let i = 0; i <= endIndex; i++) {
x += histogram[i];
}
return x;
}
// see https://github.com/fiji/Auto_Threshold/blob/master/src/main/java/fiji/threshold/Auto_Threshold.java
// Kapur J.N., Sahoo P.K., and Wong A.K.C. (1985) "A New Method for
// Gray-Level Picture Thresholding Using the Entropy of the Histogram"
// Graphical Models and Image Processing, 29(3): 273-285
// M. Emre Celebi
// 06.15.2007
// Ported to ImageJ plugin by G.Landini from E Celebi's fourier_0.8 routines
function renyiEntropy(histogram, total) {
let optThreshold; // Optimal threshold
let firstBin; // First non-zero bin
let lastBin; // last non-zero bin
let normHisto = new Array(histogram.length); // normalized histogram
let P1 = new Array(histogram.length); // acumulative normalized histogram
let P2 = new Array(histogram.length); // acumulative normalized histogram
// Entropy Variables
let threshold1 = 0;
let threshold2 = 0;
let threshold3 = 0;
let maxEnt1 = 0.0;
let maxEnt2 = 0.0;
let maxEnt3 = 0.0;
let alpha2 = 0.5;
let term2 = 1.0 / (1.0 - alpha2);
let alpha3 = 2.0;
let term3 = 1.0 / (1.0 - alpha3);
for (let ih = 0; ih < histogram.length; ih++) {
normHisto[ih] = histogram[ih] / total;
}
P1[0] = normHisto[0];
P2[0] = 1.0 - P1[0];
for (let ih = 1; ih < histogram.length; ih++) {
P1[ih] = P1[ih - 1] + normHisto[ih];
P2[ih] = 1.0 - P1[ih];
}
/* Determine the first non-zero bin */
firstBin = 0;
for (let ih = 0; ih < histogram.length; ih++) {
if (Math.abs(P1[ih]) >= Number.EPSILON) {
firstBin = ih;
break;
}
}
/* Determine the last non-zero bin */
lastBin = histogram.length - 1;
for (let ih = histogram.length - 1; ih >= firstBin; ih--) {
if (Math.abs(P2[ih]) >= Number.EPSILON) {
lastBin = ih;
break;
}
}
/* Maximum Entropy Thresholding - BEGIN */
/* ALPHA = 1.0 */
/* Calculate the total entropy each gray-level
and find the threshold that maximizes it
*/
for (let it = firstBin; it <= lastBin; it++) {
/* Entropy of the background pixels */
let entBack1 = 0.0;
let entBack2 = 0.0;
let entBack3 = 0.0;
for (let ih = 0; ih <= it; ih++) {
if (histogram[ih] !== 0) {
entBack1 -= normHisto[ih] / P1[it] * Math.log(normHisto[ih] / P1[it]);
}
entBack2 += Math.sqrt(normHisto[ih] / P1[it]);
entBack3 += normHisto[ih] * normHisto[ih] / (P1[it] * P1[it]);
}
/* Entropy of the object pixels */
let entObj1 = 0.0;
let entObj2 = 0.0;
let entObj3 = 0.0;
for (let ih = it + 1; ih < histogram.length; ih++) {
if (histogram[ih] !== 0) {
entObj1 -= normHisto[ih] / P2[it] * Math.log(normHisto[ih] / P2[it]);
}
entObj2 += Math.sqrt(normHisto[ih] / P2[it]);
entObj3 += normHisto[ih] * normHisto[ih] / (P2[it] * P2[it]);
}
/* Total entropy */
let totEnt1 = entBack1 + entObj1;
let totEnt2 = term2 * (entBack2 * entObj2 > 0.0 ? Math.log(entBack2 * entObj2) : 0.0);
let totEnt3 = term3 * (entBack3 * entObj3 > 0.0 ? Math.log(entBack3 * entObj3) : 0.0);
if (totEnt1 > maxEnt1) {
maxEnt1 = totEnt1;
threshold1 = it;
}
if (totEnt2 > maxEnt2) {
maxEnt2 = totEnt2;
threshold2 = it;
}
if (totEnt3 > maxEnt3) {
maxEnt3 = totEnt3;
threshold3 = it;
}
}
/* End Maximum Entropy Thresholding */
let tStars = [threshold1, threshold2, threshold3];
tStars.sort((a, b) => a - b);
let betas;
/* Adjust beta values */
if (Math.abs(tStars[0] - tStars[1]) <= 5) {
if (Math.abs(tStars[1] - tStars[2]) <= 5) {
betas = [1, 2, 1];
} else {
betas = [0, 1, 3];
}
} else {
if (Math.abs(tStars[1] - tStars[2]) <= 5) {
betas = [3, 1, 0];
} else {
betas = [1, 2, 1];
}
}
/* Determine the optimal threshold value */
let omega = P1[tStars[2]] - P1[tStars[0]];
optThreshold = Math.round(tStars[0] * (P1[tStars[0]] + 0.25 * omega * betas[0]) + 0.25 * tStars[1] * omega * betas[1] + tStars[2] * (P2[tStars[2]] + 0.25 * omega * betas[2]));
return optThreshold;
}
// see https://github.com/fiji/Auto_Threshold/blob/master/src/main/java/fiji/threshold/Auto_Threshold.java
// Shanhbag A.G. (1994) "Utilization of Information Measure as a Means of
// Image Thresholding" Graphical Models and Image Processing, 56(5): 414-419
// Ported to ImageJ plugin by G.Landini from E Celebi's fourier_0.8 routines
function shanbhag(histogram, total) {
let normHisto = new Array(histogram.length); // normalized histogram
for (let ih = 0; ih < histogram.length; ih++) {
normHisto[ih] = histogram[ih] / total;
}
let P1 = new Array(histogram.length); // cumulative normalized histogram
let P2 = new Array(histogram.length);
P1[0] = normHisto[0];
P2[0] = 1.0 - P1[0];
for (let ih = 1; ih < histogram.length; ih++) {
P1[ih] = P1[ih - 1] + normHisto[ih];
P2[ih] = 1.0 - P1[ih];
}
/* Determine the first non-zero bin */
let firstBin = 0;
for (let ih = 0; ih < histogram.length; ih++) {
if (Math.abs(P1[ih]) >= Number.EPSILON) {
firstBin = ih;
break;
}
}
/* Determine the last non-zero bin */
let lastBin = histogram.length - 1;
for (let ih = histogram.length - 1; ih >= firstBin; ih--) {
if (Math.abs(P2[ih]) >= Number.EPSILON) {
lastBin = ih;
break;
}
} // Calculate the total entropy each gray-level
// and find the threshold that maximizes it
let threshold = -1;
let minEnt = Number.MAX_VALUE; // min entropy
let term;
let totEnt; // total entropy
let entBack; // entropy of the background pixels at a given threshold
let entObj; // entropy of the object pixels at a given threshold
for (let it = firstBin; it <= lastBin; it++) {
/* Entropy of the background pixels */
entBack = 0.0;
term = 0.5 / P1[it];
for (let ih = 1; ih <= it; ih++) {
entBack -= normHisto[ih] * Math.log(1.0 - term * P1[ih - 1]);
}
entBack *= term;
/* Entropy of the object pixels */
entObj = 0.0;
term = 0.5 / P2[it];
for (let ih = it + 1; ih < histogram.length; ih++) {
entObj -= normHisto[ih] * Math.log(1.0 - term * P2[ih]);
}
entObj *= term;
/* Total entropy */
totEnt = Math.abs(entBack - entObj);
if (totEnt < minEnt) {
minEnt = totEnt;
threshold = it;
}
}
return threshold;
}
// see https://github.com/fiji/Auto_Threshold/blob/master/src/main/java/fiji/threshold/Auto_Threshold.java
// Zack, G. W., Rogers, W. E. and Latt, S. A., 1977,
// Automatic Measurement of Sister Chromatid Exchange Frequency,
// Journal of Histochemistry and Cytochemistry 25 (7), pp. 741-753
//
// modified from Johannes Schindelin plugin
function triangle$1(histogram) {
// find min and max
let min = 0;
let dmax = 0;
let max = 0;
let min2 = 0;
for (let i = 0; i < histogram.length; i++) {
if (histogram[i] > 0) {
min = i;
break;
}
}
if (min > 0) {
// line to the (p==0) point, not to histogram[min]
min--;
} // The Triangle algorithm cannot tell whether the data is skewed to one side or another.
// This causes a problem as there are 2 possible thresholds between the max and the 2 extremes
// of the histogram.
// Here I propose to find out to which side of the max point the data is furthest, and use that as
// the other extreme.
for (let i = histogram.length - 1; i > 0; i--) {
if (histogram[i] > 0) {
min2 = i;
break;
}
}
if (min2 < histogram.length - 1) {
// line to the (p==0) point, not to data[min]
min2++;
}
for (let i = 0; i < histogram.length; i++) {
if (histogram[i] > dmax) {
max = i;
dmax = histogram[i];
}
} // find which is the furthest side
let inverted = false;
if (max - min < min2 - max) {
// reverse the histogram
inverted = true;
let left = 0; // index of leftmost element
let right = histogram.length - 1; // index of rightmost element
while (left < right) {
// exchange the left and right elements
let temp = histogram[left];
histogram[left] = histogram[right];
histogram[right] = temp; // move the bounds toward the center
left++;
right--;
}
min = histogram.length - 1 - min2;
max = histogram.length - 1 - max;
}
if (min === max) {
return min;
} // describe line by nx * x + ny * y - d = 0
let nx, ny, d; // nx is just the max frequency as the other point has freq=0
nx = histogram[max]; // -min; // data[min]; // lowest value bmin = (p=0)% in the image
ny = min - max;
d = Math.sqrt(nx * nx + ny * ny);
nx /= d;
ny /= d;
d = nx * min + ny * histogram[min]; // find split point
let split = min;
let splitDistance = 0;
for (let i = min + 1; i <= max; i++) {
let newDistance = nx * i + ny * histogram[i] - d;
if (newDistance > splitDistance) {
split = i;
splitDistance = newDistance;
}
}
split--;
if (inverted) {
// The histogram might be used for something else, so let's reverse it back
let left = 0;
let right = histogram.length - 1;
while (left < right) {
let temp = histogram[left];
histogram[left] = histogram[right];
histogram[right] = temp;
left++;
right--;
}
return histogram.length - 1 - split;
} else {
return split;
}
}
// see https://github.com/fiji/Auto_Threshold/blob/master/src/main/java/fiji/threshold/Auto_Threshold.java
// Implements Yen thresholding method
// 1) Yen J.C., Chang F.J., and Chang S. (1995) "A New Criterion
// for Automatic Multilevel Thresholding" IEEE Trans. on Image
// Processing, 4(3): 370-378
// 2) Sezgin M. and Sankur B. (2004) "Survey over Image Thresholding
// Techniques and Quantitative Performance Evaluation" Journal of
// Electronic Imaging, 13(1): 146-165
// http://citeseer.ist.psu.edu/sezgin04survey.html
//
// M. Emre Celebi
// 06.15.2007
// Ported to ImageJ plugin by G.Landini from E Celebi's fourier_0.8 routines
function yen(histogram, total) {
let normHisto = new Array(histogram.length); // normalized histogram
for (let ih = 0; ih < histogram.length; ih++) {
normHisto[ih] = histogram[ih] / total;
}
let P1 = new Array(histogram.length); // cumulative normalized histogram
P1[0] = normHisto[0];
for (let ih = 1; ih < histogram.length; ih++) {
P1[ih] = P1[ih - 1] + normHisto[ih];
}
let P1Sq = new Array(histogram.length);
P1Sq[0] = normHisto[0] * normHisto[0];
for (let ih = 1; ih < histogram.length; ih++) {
P1Sq[ih] = P1Sq[ih - 1] + normHisto[ih] * normHisto[ih];
}
let P2Sq = new Array(histogram.length);
P2Sq[histogram.length - 1] = 0.0;
for (let ih = histogram.length - 2; ih >= 0; ih--) {
P2Sq[ih] = P2Sq[ih + 1] + normHisto[ih + 1] * normHisto[ih + 1];
}
/* Find the threshold that maximizes the criterion */
let threshold = -1;
let maxCrit = Number.MIN_VALUE;
let crit;
for (let it = 0; it < histogram.length; it++) {
crit = -1.0 * (P1Sq[it] * P2Sq[it] > 0.0 ? Math.log(P1Sq[it] * P2Sq[it]) : 0.0) + 2 * (P1[it] * (1.0 - P1[it]) > 0.0 ? Math.log(P1[it] * (1.0 - P1[it])) : 0.0);
if (crit > maxCrit) {
maxCrit = crit;
threshold = it;
}
}
return threshold;
}
/**
* @typedef {('huang'|'intermodes'|'isodata'|'li'|'maxentropy'|'mean'|'minerror'|'minimum'|'moments'|'otsu'|'percentile'|'renyientropy'|'shanbhag'|'triangle'|'yen')} ThresholdAlgorithm
*/
const methods = {
huang,
intermodes,
isodata,
li,
maxentropy: maxEntropy,
mean: mean$1,
minerror: minError,
minimum,
moments,
otsu,
percentile,
renyientropy: renyiEntropy,
shanbhag,
triangle: triangle$1,
yen
};
const names = {};
Object.keys(methods).forEach(name => {
names[name] = name;
});
/**
* Returns a threshold for the creation of a binary mask with the `mask()` method.
* @memberof Image
* @instance
* @param {object} [options]
* @param {ThresholdAlgorithm} [options.algorithm='otsu']
* @return {number}
*/
function getThreshold() {
let options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};
let {
algorithm = names.otsu
} = options;
this.checkProcessable('getThreshold', {
components: 1,
bitDepth: [8, 16]
});
let method = methods[algorithm.toLowerCase()];
if (method) {
let histogram = this.getHistogram();
return method(histogram, this.size);
} else {
throw new Error(`unknown thresholding algorithm: ${algorithm}`);
}
}
const THRESHOLD = 'threshold';
/**
* Creation of binary mask is based on the determination of a threshold
* You may either choose among the provided algorithm or just specify a threshold value
* @memberof Image
* @instance
* @param {object} [options]
* @param {ThresholdAlgorithm|'threshold'} [options.algorithm='threshold']
* @param {number} [options.threshold=0.5] - If the algorithm is 'threshold' specify here the value (0 to 1).
* @param {boolean} [options.useAlpha=true] - Apply the alpha channel to determine the intensity of the pixel.
* @param {boolean} [options.invert=false] - Invert the resulting image
* @return {Image} - Binary image containing the mask
*/
function mask() {
let options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};
let {
algorithm = THRESHOLD,
threshold = 0.5,
useAlpha = true,
invert = false
} = options;
this.checkProcessable('mask', {
components: 1,
bitDepth: [8, 16]
});
if (algorithm === THRESHOLD) {
threshold = getThreshold$1(threshold, this.maxValue);
} else {
threshold = getThreshold.call(this, options);
}
let newImage = new Image(this.width, this.height, {
kind: 'BINARY',
parent: this
});
let ptr = 0;
if (this.alpha && useAlpha) {
for (let i = 0; i < this.data.length; i += this.channels) {
let value = this.data[i] + (this.maxValue - this.data[i]) * (this.maxValue - this.data[i + 1]) / this.maxValue;
if (invert && value <= threshold || !invert && value >= threshold) {
newImage.setBit(ptr);
}
ptr++;
}
} else {
for (let i = 0; i < this.data.length; i += this.channels) {
if (invert && this.data[i] <= threshold || !invert && this.data[i] >= threshold) {
newImage.setBit(ptr);
}
ptr++;
}
}
return newImage;
}
/**
* Make a copy of the current image
* @memberof Image
* @instance
* @param {Image} fromImage
* @param {Image} toImage
* @param {number} x
* @param {number} y
*/
function copyImage(fromImage, toImage, x, y) {
let fromWidth = fromImage.width;
let fromHeight = fromImage.height;
let toWidth = toImage.width;
let channels = fromImage.channels;
for (let i = 0; i < fromWidth; i++) {
for (let j = 0; j < fromHeight; j++) {
for (let k = 0; k < channels; k++) {
let source = (j * fromWidth + i) * channels + k;
let target = ((y + j) * toWidth + x + i) * channels + k;
toImage.data[target] = fromImage.data[source];
}
}
}
}
/**
* @memberof Image
* @instance
* @param {object} [options]
* @param {number} [options.size=0]
* @param {string} [options.algorithm='copy']
* @param {array} [options.color]
* @return {Image}
*/
function pad() {
let options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};
let {
size = 0,
algorithm = 'copy',
color
} = options;
this.checkProcessable('pad', {
bitDepth: [8, 16]
});
if (algorithm === 'set') {
if (color.length !== this.channels) {
throw new Error(`pad: the color array must have the same length as the number of channels. Here: ${this.channels}`);
}
for (let i = 0; i < color.length; i++) {
if (color[i] === 0) {
color[i] = 0.001;
}
}
} else {
color = newArray$1(this.channels, null);
}
if (!Array.isArray(size)) {
size = [size, size];
}
let newWidth = this.width + size[0] * 2;
let newHeight = this.height + size[1] * 2;
let channels = this.channels;
let newImage = Image.createFrom(this, {
width: newWidth,
height: newHeight
});
copyImage(this, newImage, size[0], size[1]);
for (let i = size[0]; i < newWidth - size[0]; i++) {
for (let k = 0; k < channels; k++) {
let value = color[k] || newImage.data[(size[1] * newWidth + i) * channels + k];
for (let j = 0; j < size[1]; j++) {
newImage.data[(j * newWidth + i) * channels + k] = value;
}
value = color[k] || newImage.data[((newHeight - size[1] - 1) * newWidth + i) * channels + k];
for (let j = newHeight - size[1]; j < newHeight; j++) {
newImage.data[(j * newWidth + i) * channels + k] = value;
}
}
}
for (let j = 0; j < newHeight; j++) {
for (let k = 0; k < channels; k++) {
let value = color[k] || newImage.data[(j * newWidth + size[0]) * channels + k];
for (let i = 0; i < size[0]; i++) {
newImage.data[(j * newWidth + i) * channels + k] = value;
}
value = color[k] || newImage.data[(j * newWidth + newWidth - size[0] - 1) * channels + k];
for (let i = newWidth - size[0]; i < newWidth; i++) {
newImage.data[(j * newWidth + i) * channels + k] = value;
}
}
}
return newImage;
}
/**
* Change the image color depth.
* The color depth is the number of bits that is assigned to each point of a channel.
* For normal images it is 8 bits meaning the value is between 0 and 255.
* Currently only conversion from 1, 8 or 16 bits towards 8 or 16 bits are allowed.
* @memberof Image
* @instance
* @param {number} [newColorDepth=8]
* @return {Image} The new image
* @example
* var newImage = image.colorDepth(8);
*/
function colorDepth() {
let newColorDepth = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : 8;
this.checkProcessable('colorDepth', {
bitDepth: [1, 8, 16]
});
if (![8, 16].includes(newColorDepth)) {
throw Error('You need to specify the new colorDepth as 8 or 16');
}
if (this.bitDepth === newColorDepth) {
return this.clone();
}
let newImage = Image.createFrom(this, {
bitDepth: newColorDepth
});
switch (newColorDepth) {
case 8:
if (this.bitDepth === 1) {
for (let i = 0; i < this.size; i++) {
if (this.getBit(i)) {
newImage.data[i] = 255;
}
}
} else {
for (let i = 0; i < this.data.length; i++) {
newImage.data[i] = this.data[i] >> 8;
}
}
break;
case 16:
if (this.bitDepth === 1) {
for (let i = 0; i < this.size; i++) {
if (this.getBit(i)) {
newImage.data[i] = 65535;
}
}
} else {
for (let i = 0; i < this.data.length; i++) {
newImage.data[i] = this.data[i] << 8 | this.data[i];
}
}
break;
default:
throw new Error('colorDepth conversion unexpected case');
}
return newImage;
}
function rotateFree(degrees) {
let options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
const {
interpolation = validInterpolations.nearestneighbor,
width = this.width,
height = this.height
} = options;
if (typeof degrees !== 'number') {
throw new TypeError('degrees must be a number');
}
const interpolationToUse = (checkInterpolation)(interpolation);
const radians = degrees * Math.PI / 180;
const newWidth = Math.floor(Math.abs(width * Math.cos(radians)) + Math.abs(height * Math.sin(radians)));
const newHeight = Math.floor(Math.abs(height * Math.cos(radians)) + Math.abs(width * Math.sin(radians)));
const cos = Math.cos(-radians);
const sin = Math.sin(-radians);
let x0 = newWidth / 2;
let y0 = newHeight / 2;
if (newWidth % 2 === 0) {
x0 = x0 - 0.5;
if (newHeight % 2 === 0) {
y0 = y0 - 0.5;
} else {
y0 = Math.floor(y0);
}
} else {
x0 = Math.floor(x0);
if (newHeight % 2 === 0) {
y0 = y0 - 0.5;
} else {
y0 = Math.floor(y0);
}
}
const incrementX = Math.floor(width / 2 - x0);
const incrementY = Math.floor(height / 2 - y0);
if (this.bitDepth === 1) {
const newImage = new Image(newWidth, newHeight, {
kind: 'BINARY',
parent: this
});
switch (interpolationToUse) {
case validInterpolations.nearestneighbor:
return rotateBinaryNearestNeighbor(this, newImage, incrementX, incrementY, x0, y0, cos, sin);
case validInterpolations.bilinear:
return rotateBinaryBilinear(this, newImage, incrementX, incrementY, x0, y0, cos, sin);
default:
throw new Error(`unsupported rotate interpolation: ${interpolationToUse}`);
}
} else {
const newImage = Image.createFrom(this, {
width: newWidth,
height: newHeight
});
switch (interpolationToUse) {
case validInterpolations.nearestneighbor:
return rotateNearestNeighbor(this, newImage, incrementX, incrementY, x0, y0, cos, sin);
case validInterpolations.bilinear:
return rotateBilinear(this, newImage, incrementX, incrementY, x0, y0, cos, sin);
default:
throw new Error(`unsupported rotate interpolation: ${interpolationToUse}`);
}
}
}
function rotateNearestNeighbor(thisImage, newImage, incrementX, incrementY, x0, y0, cos, sin) {
for (let i = 0; i < newImage.width; i += 1) {
for (let j = 0; j < newImage.height; j += 1) {
for (let c = 0; c < thisImage.channels; c++) {
let x = Math.round((i - x0) * cos - (j - y0) * sin + x0) + incrementX;
let y = Math.round((j - y0) * cos + (i - x0) * sin + y0) + incrementY;
if (x < 0 || x >= thisImage.width || y < 0 || y >= thisImage.height) {
if (thisImage.alpha === 1 && c === thisImage.channels - 1) {
newImage.setValueXY(i, j, c, 0);
} else {
newImage.setValueXY(i, j, c, thisImage.maxValue);
}
} else {
newImage.setValueXY(i, j, c, thisImage.getValueXY(x, y, c));
}
}
}
}
return newImage;
}
function rotateBinaryNearestNeighbor(thisImage, newImage, incrementX, incrementY, x0, y0, cos, sin) {
for (let i = 0; i < newImage.width; i += 1) {
for (let j = 0; j < newImage.height; j += 1) {
let x = Math.round((i - x0) * cos - (j - y0) * sin + x0) + incrementX;
let y = Math.round((j - y0) * cos + (i - x0) * sin + y0) + incrementY;
if (x < 0 || x >= thisImage.width || y < 0 || y >= thisImage.height || thisImage.getBitXY(x, y)) {
newImage.setBitXY(i, j);
}
}
}
return newImage;
}
function rotateBilinear(thisImage, newImage, incrementX, incrementY, x0, y0, cos, sin) {
let stride = thisImage.width * thisImage.channels;
for (let j = 0; j < newImage.height; j++) {
for (let i = 0; i < newImage.width; i++) {
let x = (i - x0) * cos - (j - y0) * sin + x0 + incrementX;
let y = (j - y0) * cos + (i - x0) * sin + y0 + incrementY;
let x1 = x | 0;
let y1 = y | 0;
let xDiff = x - x1;
let yDiff = y - y1;
for (let c = 0; c < thisImage.channels; c++) {
if (x < 0 || x >= thisImage.width || y < 0 || y >= thisImage.height) {
if (thisImage.alpha === 1 && c === thisImage.channels - 1) {
newImage.setValueXY(i, j, c, 0);
} else {
newImage.setValueXY(i, j, c, thisImage.maxValue);
}
} else {
let index = (y1 * thisImage.width + x1) * thisImage.channels + c;
let A = thisImage.data[index];
let B = thisImage.data[index + thisImage.channels];
let C = thisImage.data[index + stride];
let D = thisImage.data[index + stride + thisImage.channels];
let result = A + xDiff * (B - A) + yDiff * (C - A) + xDiff * yDiff * (A - B - C + D) | 0;
newImage.setValueXY(i, j, c, result);
}
}
}
}
return newImage;
}
function rotateBinaryBilinear(thisImage, newImage, incrementX, incrementY, x0, y0, cos, sin) {
let stride = thisImage.width;
for (let j = 0; j < newImage.height; j++) {
for (let i = 0; i < newImage.width; i++) {
let x = (i - x0) * cos - (j - y0) * sin + x0 + incrementX;
let y = (j - y0) * cos + (i - x0) * sin + y0 + incrementY;
let x1 = x | 0;
let y1 = y | 0;
let xDiff = x - x1;
let yDiff = y - y1;
if (x < 0 || x >= thisImage.width || y < 0 || y >= thisImage.height) {
newImage.setBitXY(i, j);
} else {
let index = y1 * thisImage.width + x1;
let A = thisImage.getBit(index);
let B = thisImage.getBit(index + 1);
let C = thisImage.getBit(index + stride);
let D = thisImage.getBit(index + 1 + stride);
let result = A | xDiff & B - A | yDiff & C - A | xDiff & yDiff & A - B - C + D;
if (result > 0) newImage.setBitXY(i, j);
}
}
}
return newImage;
}
/**
* Rotates an image.
* @memberof Image
* @instance
* @param {number} angle - Angle of the rotation in degrees
* @param {object} [options]
* @param {InterpolationAlgorithm} [options.interpolation='nearestNeighbor'] - Interpolation algorithm to use if `angle` is not a multiple of 90
* @return {Image} The new rotated image
*/
function rotate$1(angle, options) {
this.checkProcessable('rotate', {
bitDepth: [1, 8, 16]
});
if (typeof angle !== 'number') {
throw new TypeError('angle must be a number');
}
if (angle < 0) {
angle = Math.ceil(-angle / 360) * 360 + angle;
}
switch (angle % 360) {
case 0:
return this.clone();
case 90:
return rotateRight.call(this);
case 180:
return rotate180.call(this);
case 270:
return rotateLeft.call(this);
default:
return rotateFree.call(this, angle, options);
}
}
/**
* Rotates an image counter-clockwise
* @memberof Image
* @instance
* @return {Image} The new rotated image
*/
function rotateLeft() {
if (this.bitDepth === 1) {
const newImage = new Image(this.height, this.width, {
kind: 'BINARY',
parent: this
});
const newMaxHeight = newImage.height - 1;
for (let i = 0; i < this.height; i++) {
for (let j = 0; j < this.width; j++) {
if (this.getBitXY(j, i)) {
newImage.setBitXY(i, newMaxHeight - j);
}
}
}
return newImage;
} else {
const newImage = Image.createFrom(this, {
width: this.height,
height: this.width
});
const newMaxHeight = newImage.height - 1;
for (let i = 0; i < this.height; i++) {
for (let j = 0; j < this.width; j++) {
for (let k = 0; k < this.channels; k++) {
newImage.setValueXY(i, newMaxHeight - j, k, this.getValueXY(j, i, k));
}
}
}
return newImage;
}
}
/**
* Rotates an image clockwise
* @memberof Image
* @instance
* @return {Image} The new rotated image
*/
function rotateRight() {
if (this.bitDepth === 1) {
const newImage = new Image(this.height, this.width, {
kind: 'BINARY',
parent: this
});
const newMaxWidth = newImage.width - 1;
for (let i = 0; i < this.height; i++) {
for (let j = 0; j < this.width; j++) {
if (this.getBitXY(j, i)) {
newImage.setBitXY(newMaxWidth - i, j);
}
}
}
return newImage;
} else {
const newImage = Image.createFrom(this, {
width: this.height,
height: this.width
});
const newMaxWidth = newImage.width - 1;
for (let i = 0; i < this.height; i++) {
for (let j = 0; j < this.width; j++) {
for (let k = 0; k < this.channels; k++) {
newImage.setValueXY(newMaxWidth - i, j, k, this.getValueXY(j, i, k));
}
}
}
return newImage;
}
}
function rotate180() {
if (this.bitDepth === 1) {
const newImage = new Image(this.width, this.height, {
kind: 'BINARY',
parent: this
});
const newMaxWidth = newImage.width - 1;
const newMaxHeight = newImage.height - 1;
for (let i = 0; i < this.height; i++) {
for (let j = 0; j < this.width; j++) {
if (this.getBitXY(j, i)) {
newImage.setBitXY(newMaxWidth - j, newMaxHeight - i);
}
}
}
return newImage;
} else {
const newImage = Image.createFrom(this);
const newMaxWidth = newImage.width - 1;
const newMaxHeight = newImage.height - 1;
for (let i = 0; i < this.height; i++) {
for (let j = 0; j < this.width; j++) {
for (let k = 0; k < this.channels; k++) {
newImage.setValueXY(newMaxWidth - j, newMaxHeight - i, k, this.getValueXY(j, i, k));
}
}
}
return newImage;
}
}
/**
* Inserts an image within another image.
* @memberof Image
* @instance
* @param {Image} toInsert The image to insert. Out of boundary pixel will be ignored.
* @param {object} [options]
* @param {number} [options.x=0] x offset
* @param {number} [options.y=0] y offset
* @param {boolean} [options.inPlace=false] - If true modifies the image. If false the insertion is performed on a copy of the image.
* @return {Image} The modified image or the new image.
*/
function insert(toInsert) {
let options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
const parameters = getImageParameters(toInsert);
this.checkProcessable('insert', parameters);
let {
x = 0,
y = 0
} = options;
const out = getOutputImageOrInPlace(this, options, {
copy: true
});
const maxY = Math.min(out.height, y + toInsert.height);
const maxX = Math.min(out.width, x + toInsert.width);
if (out.bitDepth === 1) {
for (let j = y; j < maxY; j++) {
for (let i = x; i < maxX; i++) {
const val = toInsert.getBitXY(i - x, j - y);
if (val) out.setBitXY(i, j);else out.clearBitXY(i, j);
}
}
} else {
for (let j = y; j < maxY; j++) {
for (let i = x; i < maxX; i++) {
out.setPixelXY(i, j, toInsert.getPixelXY(i - x, j - y));
}
}
}
return out;
}
/**
* This method will change the border
* @memberof Image
* @instance
* @param {object} [options]
* @param {number} [options.size=0]
* @param {string} [options.algorithm='copy']
* @param {number[]} [options.color]
* @return {this}
*/
function setBorder() {
let options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};
let {
size = 0,
algorithm = 'copy',
color
} = options;
this.checkProcessable('setBorder', {
bitDepth: [8, 16, 32, 64]
});
if (algorithm === 'set') {
if (color.length !== this.channels) {
throw new Error(`setBorder: the color array must have the same length as the number of channels. Here: ${this.channels}`);
}
for (let i = 0; i < color.length; i++) {
if (color[i] === 0) {
color[i] = 0.001;
}
}
} else {
color = newArray$1(this.channels, null);
}
if (!Array.isArray(size)) {
size = [size, size];
}
let leftRightSize = size[0];
let topBottomSize = size[1];
let channels = this.channels;
for (let i = leftRightSize; i < this.width - leftRightSize; i++) {
for (let k = 0; k < channels; k++) {
let value = color[k] || this.data[(i + this.width * topBottomSize) * channels + k];
for (let j = 0; j < topBottomSize; j++) {
this.data[(j * this.width + i) * channels + k] = value;
}
value = color[k] || this.data[(i + this.width * (this.height - topBottomSize - 1)) * channels + k];
for (let j = this.height - topBottomSize; j < this.height; j++) {
this.data[(j * this.width + i) * channels + k] = value;
}
}
}
for (let j = 0; j < this.height; j++) {
for (let k = 0; k < channels; k++) {
let value = color[k] || this.data[(j * this.width + leftRightSize) * channels + k];
for (let i = 0; i < leftRightSize; i++) {
this.data[(j * this.width + i) * channels + k] = value;
}
value = color[k] || this.data[(j * this.width + this.width - leftRightSize - 1) * channels + k];
for (let i = this.width - leftRightSize; i < this.width; i++) {
this.data[(j * this.width + i) * channels + k] = value;
}
}
}
return this;
}
/**
* @memberof Image
* @instance
* @param {object} [options]
* @param {boolean} [options.preserveAlpha=true]
* @return {Stack}
*/
function split() {
let options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};
let {
preserveAlpha = true
} = options;
this.checkProcessable('split', {
bitDepth: [8, 16]
}); // split will always return a stack of images
if (this.components === 1) {
return new Stack([this.clone()]);
}
let images = new Stack();
let data = this.data;
if (this.alpha && preserveAlpha) {
for (let i = 0; i < this.components; i++) {
let newImage = Image.createFrom(this, {
components: 1,
alpha: true,
colorModel: GREY$1
});
let ptr = 0;
for (let j = 0; j < data.length; j += this.channels) {
newImage.data[ptr++] = data[j + i];
newImage.data[ptr++] = data[j + this.components];
}
images.push(newImage);
}
} else {
for (let i = 0; i < this.channels; i++) {
let newImage = Image.createFrom(this, {
components: 1,
alpha: false,
colorModel: GREY$1
});
let ptr = 0;
for (let j = 0; j < data.length; j += this.channels) {
newImage.data[ptr++] = data[j + i];
}
images.push(newImage);
}
}
return images;
}
/**
* Create a grey image based on the selected channel
* @memberof Image
* @instance
* @param {number|string} channel
* @param {object} [options]
* @param {boolean} [options.keepAlpha]
* @param {boolean} [options.mergeAlpha]
* @return {Image} A grey image with the extracted channel
*/
function getChannel(channel) {
let options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
let {
keepAlpha = false,
mergeAlpha = false
} = options;
keepAlpha &= this.alpha;
mergeAlpha &= this.alpha;
this.checkProcessable('getChannel', {
bitDepth: [8, 16]
});
channel = validateChannel(this, channel);
let newImage = Image.createFrom(this, {
components: 1,
alpha: keepAlpha,
colorModel: GREY$1
});
let ptr = 0;
for (let j = 0; j < this.data.length; j += this.channels) {
if (mergeAlpha) {
newImage.data[ptr++] = this.data[j + channel] * this.data[j + this.components] / this.maxValue;
} else {
newImage.data[ptr++] = this.data[j + channel];
if (keepAlpha) {
newImage.data[ptr++] = this.data[j + this.components];
}
}
}
return newImage;
}
/**
* Create a new grey Image by combining the channels of the current image.
* @memberof Image
* @instance
* @param {function} method
* @param {object} [options]
* @param {boolean} [options.mergeAlpha=false]
* @param {boolean} [options.keepAlpha=false]
* @return {Image}
*/
function combineChannels() {
let method = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : defaultCombineMethod;
let options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
let {
mergeAlpha = false,
keepAlpha = false
} = options;
mergeAlpha &= this.alpha;
keepAlpha &= this.alpha;
this.checkProcessable('combineChannels', {
bitDepth: [8, 16]
});
let newImage = Image.createFrom(this, {
components: 1,
alpha: keepAlpha,
colorModel: GREY$1
});
let ptr = 0;
for (let i = 0; i < this.size; i++) {
// TODO quite slow because we create a new pixel each time
let value = method(this.getPixel(i));
if (mergeAlpha) {
newImage.data[ptr++] = value * this.data[i * this.channels + this.components] / this.maxValue;
} else {
newImage.data[ptr++] = value;
if (keepAlpha) {
newImage.data[ptr++] = this.data[i * this.channels + this.components];
}
}
}
return newImage;
}
function defaultCombineMethod(pixel) {
return (pixel[0] + pixel[1] + pixel[2]) / 3;
}
/**
* @memberof Image
* @instance
* @param {*} channel
* @param {Image} image
*
* @return {this}
*/
function setChannel(channel, image) {
this.checkProcessable('setChannel', {
bitDepth: [8, 16]
});
image.checkProcessable('setChannel (image parameter check)', {
bitDepth: [this.bitDepth],
alpha: [0],
components: [1]
});
if (image.width !== this.width || image.height !== this.height) {
throw new Error('Images must have exactly the same width and height');
}
channel = validateChannel(this, channel);
let ptr = channel;
for (let i = 0; i < image.data.length; i++) {
this.data[ptr] = image.data[i];
ptr += this.channels;
}
return this;
}
/**
* Try to match the current pictures with another one. If normalize we normalize separately the 2 images.
* @memberof Image
* @instance
* @param {Image} image - Other image
* @param {object} [options]
* @return {number[]|number}
*/
function getSimilarity(image) {
let options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
let {
shift = [0, 0],
average,
channels,
defaultAlpha,
normalize,
border = [0, 0]
} = options;
this.checkProcessable('getSimilarity', {
bitDepth: [8, 16]
});
if (!Array.isArray(border)) {
border = [border, border];
}
channels = validateArrayOfChannels(this, {
channels: channels,
defaultAlpha: defaultAlpha
});
if (this.bitDepth !== image.bitDepth) {
throw new Error('Both images must have the same bitDepth');
}
if (this.channels !== image.channels) {
throw new Error('Both images must have the same number of channels');
}
if (this.colorModel !== image.colorModel) {
throw new Error('Both images must have the same colorModel');
}
if (typeof average === 'undefined') {
average = true;
} // we allow a shift
// we need to find the minX, maxX, minY, maxY
let minX = Math.max(border[0], -shift[0]);
let maxX = Math.min(this.width - border[0], this.width - shift[0]);
let minY = Math.max(border[1], -shift[1]);
let maxY = Math.min(this.height - border[1], this.height - shift[1]);
let results = newArray$1(channels.length, 0);
for (let i = 0; i < channels.length; i++) {
let c = channels[i];
let sumThis = normalize ? this.sum[c] : Math.max(this.sum[c], image.sum[c]);
let sumImage = normalize ? image.sum[c] : Math.max(this.sum[c], image.sum[c]);
if (sumThis !== 0 && sumImage !== 0) {
for (let x = minX; x < maxX; x++) {
for (let y = minY; y < maxY; y++) {
let indexThis = x * this.multiplierX + y * this.multiplierY + c;
let indexImage = indexThis + shift[0] * this.multiplierX + shift[1] * this.multiplierY;
results[i] += Math.min(this.data[indexThis] / sumThis, image.data[indexImage] / sumImage);
}
}
}
}
if (average) {
return results.reduce((sum, x) => sum + x) / results.length;
}
return results;
}
/**
* @memberof Image
* @instance
* @param {object} [options]
* @param {number[]} [options.sampling=[10, 10]]
* @param {boolean} [options.painted=false]
* @param {Image} [options.mask]
* @return {object}
*/
function getPixelsGrid() {
let options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};
let {
sampling = [10, 10],
painted = false,
mask
} = options;
this.checkProcessable('getPixelsGrid', {
bitDepth: [8, 16],
channels: 1
});
if (!Array.isArray(sampling)) {
sampling = [sampling, sampling];
}
const xSampling = sampling[0];
const ySampling = sampling[1];
const xyS = [];
const zS = [];
const xStep = this.width / xSampling;
const yStep = this.height / ySampling;
let currentX = Math.floor(xStep / 2);
for (let i = 0; i < xSampling; i++) {
let currentY = Math.floor(yStep / 2);
for (let j = 0; j < ySampling; j++) {
let x = Math.round(currentX);
let y = Math.round(currentY);
if (!mask || mask.getBitXY(x, y)) {
xyS.push([x, y]);
zS.push(this.getPixelXY(x, y));
}
currentY += yStep;
}
currentX += xStep;
}
const toReturn = {
xyS,
zS
};
if (painted) {
toReturn.painted = this.rgba8().paintPoints(xyS);
}
return toReturn;
}
function Matrix(width, height, defaultValue) {
const matrix = new Array(width);
for (let x = 0; x < width; x++) {
matrix[x] = new Array(height);
}
if (defaultValue) {
for (let x = 0; x < width; x++) {
for (let y = 0; y < height; y++) {
matrix[x][y] = defaultValue;
}
}
}
matrix.width = width;
matrix.height = height;
Object.setPrototypeOf(matrix, Matrix.prototype);
return matrix;
}
Matrix.prototype.localMin = function (x, y) {
let min = this[x][y];
let position = [x, y];
for (let i = Math.max(0, x - 1); i < Math.min(this.length, x + 2); i++) {
for (let j = Math.max(0, y - 1); j < Math.min(this[0].length, y + 2); j++) {
if (this[i][j] < min) {
min = this[i][j];
position = [i, j];
}
}
}
return {
position: position,
value: min
};
};
Matrix.prototype.localMax = function (x, y) {
let max = this[x][y];
let position = [x, y];
for (let i = Math.max(0, x - 1); i < Math.min(this.length, x + 2); i++) {
for (let j = Math.max(0, y - 1); j < Math.min(this[0].length, y + 2); j++) {
if (this[i][j] > max) {
max = this[i][j];
position = [i, j];
}
}
}
return {
position: position,
value: max
};
};
Matrix.prototype.localSearch = function (x, y, value) {
let results = [];
for (let i = Math.max(0, x - 1); i < Math.min(this.length, x + 2); i++) {
for (let j = Math.max(0, y - 1); j < Math.min(this[0].length, y + 2); j++) {
if (this[i][j] === value) {
results.push([i, j]);
}
}
}
return results;
};
/**
* Try to match the current pictures with another one
* @memberof Image
* @instance
* @param {Image} image - Other image to match
* @param {object} [options]
* @return {number[]}
*/
function getBestMatch(image) {
let options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
let {
border
} = options;
this.checkProcessable('getChannel', {
bitDepth: [8, 16]
});
if (this.bitDepth !== image.bitDepth) {
throw new Error('Both images must have the same bitDepth');
}
if (this.channels !== image.channels) {
throw new Error('Both images must have the same number of channels');
}
if (this.colorModel !== image.colorModel) {
throw new Error('Both images must have the same colorModel');
} // there could be many names
let similarityMatrix = new Matrix(image.width, image.height, -Infinity);
let currentX = Math.floor(image.width / 2);
let currentY = Math.floor(image.height / 2);
let middleX = currentX;
let middleY = currentY;
let theEnd = false;
while (!theEnd) {
let toCalculatePositions = similarityMatrix.localSearch(currentX, currentY, -Infinity);
for (let i = 0; i < toCalculatePositions.length; i++) {
let position = toCalculatePositions[i];
let similarity = this.getSimilarity(image, {
border: border,
shift: [middleX - position[0], middleY - position[1]]
});
similarityMatrix[position[0]][position[1]] = similarity;
}
let max = similarityMatrix.localMax(currentX, currentY);
if (max.position[0] !== currentX || max.position[1] !== currentY) {
currentX = max.position[0];
currentY = max.position[1];
} else {
theEnd = true;
}
}
return [currentX - middleX, currentY - middleY];
}
/**
* @memberof Image
* @instance
* @param {number} row
* @param {number} [channel=0]
* @return {number[]}
*/
function getRow(row) {
let channel = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : 0;
this.checkProcessable('getRow', {
bitDepth: [8, 16]
});
checkRow(this, row);
checkChannel(this, channel);
let array = new Array(this.width);
let ptr = 0;
let begin = row * this.width * this.channels + channel;
let end = begin + this.width * this.channels;
for (let j = begin; j < end; j += this.channels) {
array[ptr++] = this.data[j];
}
return array;
}
/**
* @memberof Image
* @instance
* @param {number} column
* @param {number} [channel=0]
* @return {number[]}
*/
function getColumn(column) {
let channel = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : 0;
this.checkProcessable('getColumn', {
bitDepth: [8, 16]
});
checkColumn(this, column);
checkChannel(this, channel);
let array = new Array(this.height);
let ptr = 0;
let step = this.width * this.channels;
for (let j = channel + column * this.channels; j < this.data.length; j += step) {
array[ptr++] = this.data[j];
}
return array;
}
/**
* @memberof Image
* @instance
* @param {object} [options]
* @param {number} [options.channel]
* @return {Matrix}
*/
function getMatrix() {
let options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};
let {
channel
} = options;
this.checkProcessable('getMatrix', {
bitDepth: [8, 16]
});
if (channel === undefined) {
if (this.components > 1) {
throw new RangeError('You need to define the channel for an image that contains more than one channel');
}
channel = 0;
}
let matrix = new Matrix$2(this.height, this.width);
for (let x = 0; x < this.height; x++) {
for (let y = 0; y < this.width; y++) {
matrix.set(x, y, this.getValueXY(y, x, channel));
}
}
return matrix;
}
/**
* We set the data of the image from a matrix. The size of the matrix and the data have to be the same.
* @memberof Image
* @instance
* @param {Matrix} matrix
* @param {object} [options]
* @param {number} [options.channel]
*/
function setMatrix(matrix) {
let options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
matrix = new Matrix$2(matrix);
let {
channel
} = options;
this.checkProcessable('getMatrix', {
bitDepth: [8, 16]
});
if (channel === undefined) {
if (this.components > 1) {
throw new RangeError('You need to define the channel for an image that contains more than one channel');
}
channel = 0;
}
if (this.width !== matrix.columns || this.height !== matrix.rows) {
throw new RangeError('The size of the matrix must be equal to the size of the image');
}
for (let x = 0; x < this.height; x++) {
for (let y = 0; y < this.width; y++) {
this.setValueXY(y, x, channel, matrix.get(x, y));
}
}
}
/**
* Returns an array of arrays containing the pixel values in the form
* [[R1, G1, B1], [R2, G2, B2], ...]
* @memberof Image
* @instance
* @return {Array>}
*/
function getPixelsArray() {
this.checkProcessable('getPixelsArray', {
bitDepth: [8, 16, 32]
});
let array = new Array(this.size);
let ptr = 0;
for (let i = 0; i < this.data.length; i += this.channels) {
let pixel = new Array(this.components);
for (let j = 0; j < this.components; j++) {
pixel[j] = this.data[i + j];
}
array[ptr++] = pixel;
}
return array;
}
/**
* Find intersection of points between two different masks
* @memberof Image
* @instance
* @param {Image} mask2 - a mask (1 bit image)
* @return {object} - object containing number of white pixels for mask1, for mask 2 and for them both
*/
function getIntersection(mask2) {
let mask1 = this;
let closestParent = mask1.getClosestCommonParent(mask2);
let startPos1 = mask1.getRelativePosition(closestParent, {
defaultFurther: true
});
let allRelPos1 = getRelativePositionForAllPixels(mask1, startPos1);
let startPos2 = mask2.getRelativePosition(closestParent, {
defaultFurther: true
});
let allRelPos2 = getRelativePositionForAllPixels(mask2, startPos2);
let commonSurface = getCommonSurface(allRelPos1, allRelPos2);
let intersection = {
whitePixelsMask1: [],
whitePixelsMask2: [],
commonWhitePixels: []
};
for (let i = 0; i < commonSurface.length; i++) {
let currentRelativePos = commonSurface[i];
let realPos1 = [currentRelativePos[0] - startPos1[0], currentRelativePos[1] - startPos1[1]];
let realPos2 = [currentRelativePos[0] - startPos2[0], currentRelativePos[1] - startPos2[1]];
let valueBitMask1 = mask1.getBitXY(realPos1[0], realPos1[1]);
let valueBitMask2 = mask2.getBitXY(realPos2[0], realPos2[1]);
if (valueBitMask1 === 1 && valueBitMask2 === 1) {
intersection.commonWhitePixels.push(currentRelativePos);
}
}
for (let i = 0; i < allRelPos1.length; i++) {
let posX;
let posY;
if (i !== 0) {
posX = Math.floor(i / mask1.width);
posY = i % mask1.width;
}
if (mask1.getBitXY(posX, posY) === 1) {
intersection.whitePixelsMask1.push(allRelPos1[i]);
}
}
for (let i = 0; i < allRelPos2.length; i++) {
let posX = 0;
let posY = 0;
if (i !== 0) {
posX = Math.floor(i / mask2.width);
posY = i % mask2.width;
}
if (mask2.getBitXY(posX, posY) === 1) {
intersection.whitePixelsMask2.push(allRelPos2[i]);
}
}
return intersection;
}
/**
* Get relative position array for all pixels in masks
* @param {Image} mask - a mask (1 bit image)
* @param {Array} startPosition - start position of mask relative to parent
* @return {Array} - relative position of all pixels
* @private
*/
function getRelativePositionForAllPixels(mask, startPosition) {
let relativePositions = [];
for (let i = 0; i < mask.height; i++) {
for (let j = 0; j < mask.width; j++) {
let originalPos = [i, j];
relativePositions.push([originalPos[0] + startPosition[0], originalPos[1] + startPosition[1]]);
}
}
return relativePositions;
}
/**
* Finds common surface for two arrays containing the positions of the pixels relative to parent image
* @param {Array} positionArray1 - positions of pixels relative to parent
* @param {Array} positionArray2 - positions of pixels relative to parent
* @return {Array} - positions of common pixels for both arrays
* @private
*/
function getCommonSurface(positionArray1, positionArray2) {
let i = 0;
let j = 0;
let commonSurface = [];
while (i < positionArray1.length && j < positionArray2.length) {
if (positionArray1[i][0] === positionArray2[j][0] && positionArray1[i][1] === positionArray2[j][1]) {
commonSurface.push(positionArray1[i]);
i++;
j++;
} else if (positionArray1[i][0] < positionArray2[j][0] || positionArray1[i][0] === positionArray2[j][0] && positionArray1[i][1] < positionArray2[j][1]) {
i++;
} else {
j++;
}
}
return commonSurface;
}
/**
* Finds common parent between two different masks
* @memberof Image
* @instance
* @param {Image} mask - a mask (1 bit image)
* @return {Image} - the lowest common parent of both masks
*/
function getClosestCommonParent(mask) {
let depthMask1 = getDepth(this);
let depthMask2 = getDepth(mask);
let furthestParent;
if (depthMask1 >= depthMask2) {
furthestParent = getFurthestParent(this, depthMask1);
} else {
furthestParent = getFurthestParent(mask, depthMask2);
}
if (depthMask1 === 0 || depthMask2 === 0) {
// comparing with at least one original image -> no common parent
return furthestParent;
}
let m1 = this;
let m2 = mask;
while (depthMask1 !== depthMask2) {
if (depthMask1 > depthMask2) {
m1 = m1.parent;
if (m1 === null) {
return furthestParent;
}
depthMask1 = depthMask1 - 1;
} else {
m2 = m2.parent;
if (m2 === null) {
return furthestParent;
}
depthMask2 = depthMask2 - 1;
}
}
while (m1 !== m2 && m1 !== null && m2 !== null) {
m1 = m1.parent;
m2 = m2.parent;
if (m1 === null || m2 === null) {
return furthestParent;
}
} // TODO
// no common parent, use parent at top of hierarchy of m1
// we assume it works for now
if (m1 !== m2) {
return furthestParent;
}
return m1;
}
/**
* Find the depth of the mask with respect to its arborescence.
* Helper function to find the common parent between two masks.
* @param {Image} mask - a mask (1 bit Image)
* @return {number} - depth of mask
* @private
*/
function getDepth(mask) {
let d = 0;
let m = mask; // a null parent means it's the original image
while (m.parent != null) {
m = m.parent;
d++;
}
return d;
}
function getFurthestParent(mask, depth) {
let m = mask;
while (depth > 0) {
m = m.parent;
depth = depth - 1;
}
return m;
}
const defaultOptions$1 = {
lowThreshold: 10,
highThreshold: 30,
gaussianBlur: 1.1
};
const Gx = [[-1, 0, +1], [-2, 0, +2], [-1, 0, +1]];
const Gy = [[-1, -2, -1], [0, 0, 0], [+1, +2, +1]];
const convOptions = {
bitDepth: 32,
mode: 'periodic'
};
function cannyEdgeDetector(image, options) {
image.checkProcessable('Canny edge detector', {
bitDepth: 8,
channels: 1,
components: 1
});
options = Object.assign({}, defaultOptions$1, options);
const width = image.width;
const height = image.height;
const brightness = image.maxValue;
const gfOptions = {
sigma: options.gaussianBlur,
radius: 3
};
const gf = image.gaussianFilter(gfOptions);
const gradientX = gf.convolution(Gy, convOptions);
const gradientY = gf.convolution(Gx, convOptions);
const G = gradientY.hypotenuse(gradientX);
const Image = image.constructor;
const nms = new Image(width, height, {
kind: 'GREY',
bitDepth: 32
});
const edges = new Image(width, height, {
kind: 'GREY',
bitDepth: 32
});
const finalImage = new Image(width, height, {
kind: 'GREY'
}); // Non-Maximum supression
for (var i = 1; i < width - 1; i++) {
for (var j = 1; j < height - 1; j++) {
var dir = (Math.round(Math.atan2(gradientY.getValueXY(i, j, 0), gradientX.getValueXY(i, j, 0)) * (5.0 / Math.PI)) + 5) % 5;
if (!(dir === 0 && (G.getValueXY(i, j, 0) <= G.getValueXY(i, j - 1, 0) || G.getValueXY(i, j, 0) <= G.getValueXY(i, j + 1, 0)) || dir === 1 && (G.getValueXY(i, j, 0) <= G.getValueXY(i - 1, j + 1, 0) || G.getValueXY(i, j, 0) <= G.getValueXY(i + 1, j - 1, 0)) || dir === 2 && (G.getValueXY(i, j, 0) <= G.getValueXY(i - 1, j, 0) || G.getValueXY(i, j, 0) <= G.getValueXY(i + 1, j, 0)) || dir === 3 && (G.getValueXY(i, j, 0) <= G.getValueXY(i - 1, j - 1, 0) || G.getValueXY(i, j, 0) <= G.getValueXY(i + 1, j + 1, 0)))) {
nms.setValueXY(i, j, 0, G.getValueXY(i, j, 0));
}
}
}
for (i = 0; i < width * height; ++i) {
var currentNms = nms.data[i];
var currentEdge = 0;
if (currentNms > options.highThreshold) {
currentEdge++;
finalImage.data[i] = brightness;
}
if (currentNms > options.lowThreshold) {
currentEdge++;
}
edges.data[i] = currentEdge;
} // Hysteresis: first pass
var currentPixels = [];
for (i = 1; i < width - 1; ++i) {
for (j = 1; j < height - 1; ++j) {
if (edges.getValueXY(i, j, 0) !== 1) {
continue;
}
outer: for (var k = i - 1; k < i + 2; ++k) {
for (var l = j - 1; l < j + 2; ++l) {
if (edges.getValueXY(k, l, 0) === 2) {
currentPixels.push([i, j]);
finalImage.setValueXY(i, j, 0, brightness);
break outer;
}
}
}
}
} // Hysteresis: second pass
while (currentPixels.length > 0) {
var newPixels = [];
for (i = 0; i < currentPixels.length; ++i) {
for (j = -1; j < 2; ++j) {
for (k = -1; k < 2; ++k) {
if (j === 0 && k === 0) {
continue;
}
var row = currentPixels[i][0] + j;
var col = currentPixels[i][1] + k;
if (edges.getValueXY(row, col, 0) === 1 && finalImage.getValueXY(row, col, 0) === 0) {
newPixels.push([row, col]);
finalImage.setValueXY(row, col, 0, brightness);
}
}
}
}
currentPixels = newPixels;
}
return finalImage;
}
/**
* @memberof Image
* @instance
* @param {object} [options]
* @return {Image}
*/
function cannyEdge(options) {
return cannyEdgeDetector(this, options);
}
/**
* Extracts a part of an original image based on a mask. By default the mask may contain
* a relative position and this part of the original image will be extracted.
* @memberof Image
* @instance
* @param {Image} mask - Image containing a binary mask
* @param {object} [options]
* @param {number[]} [options.position] - Array of 2 elements to force the x,y coordinates
* @return {Image} A new image
*/
function extract(mask) {
let options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
let {
position
} = options;
this.checkProcessable('extract', {
bitDepth: [1, 8, 16]
}); // we need to find the relative position to the parent
if (!position) {
position = mask.getRelativePosition(this);
if (!position) {
throw new Error('extract : can not extract an image because the relative position can not be ' + 'determined, try to specify manually the position as an array of 2 elements [x,y].');
}
}
if (this.bitDepth > 1) {
let extract = Image.createFrom(this, {
width: mask.width,
height: mask.height,
alpha: 1,
// we force the alpha, otherwise difficult to extract a mask ...
position: position,
parent: this
});
for (let x = 0; x < mask.width; x++) {
for (let y = 0; y < mask.height; y++) {
// we copy the point
for (let channel = 0; channel < this.channels; channel++) {
let value = this.getValueXY(x + position[0], y + position[1], channel);
extract.setValueXY(x, y, channel, value);
} // we make it transparent in case it is not in the mask
if (!mask.getBitXY(x, y)) {
extract.setValueXY(x, y, this.components, 0);
}
}
}
return extract;
} else {
let extract = Image.createFrom(this, {
width: mask.width,
height: mask.height,
position: position,
parent: this
});
for (let y = 0; y < mask.height; y++) {
for (let x = 0; x < mask.width; x++) {
if (mask.getBitXY(x, y)) {
if (this.getBitXY(x + position[0], y + position[1])) {
extract.setBitXY(x, y);
}
}
}
}
return extract;
}
}
var fastList = {exports: {}};
(function (module, exports) {
(function () {
// closure for web browsers
function Item(data, prev, next) {
this.next = next;
if (next) next.prev = this;
this.prev = prev;
if (prev) prev.next = this;
this.data = data;
}
function FastList() {
if (!(this instanceof FastList)) return new FastList();
this._head = null;
this._tail = null;
this.length = 0;
}
FastList.prototype = {
push: function (data) {
this._tail = new Item(data, this._tail, null);
if (!this._head) this._head = this._tail;
this.length++;
},
pop: function () {
if (this.length === 0) return undefined;
var t = this._tail;
this._tail = t.prev;
if (t.prev) {
t.prev = this._tail.next = null;
}
this.length--;
if (this.length === 1) this._head = this._tail;else if (this.length === 0) this._head = this._tail = null;
return t.data;
},
unshift: function (data) {
this._head = new Item(data, null, this._head);
if (!this._tail) this._tail = this._head;
this.length++;
},
shift: function () {
if (this.length === 0) return undefined;
var h = this._head;
this._head = h.next;
if (h.next) {
h.next = this._head.prev = null;
}
this.length--;
if (this.length === 1) this._tail = this._head;else if (this.length === 0) this._head = this._tail = null;
return h.data;
},
item: function (n) {
if (n < 0) n = this.length + n;
var h = this._head;
while (n-- > 0 && h) h = h.next;
return h ? h.data : undefined;
},
slice: function (n, m) {
if (!n) n = 0;
if (!m) m = this.length;
if (m < 0) m = this.length + m;
if (n < 0) n = this.length + n;
if (m === n) {
return [];
}
if (m < n) {
throw new Error("invalid offset: " + n + "," + m + " (length=" + this.length + ")");
}
var len = m - n,
ret = new Array(len),
i = 0,
h = this._head;
while (n-- > 0 && h) h = h.next;
while (i < len && h) {
ret[i++] = h.data;
h = h.next;
}
return ret;
},
drop: function () {
FastList.call(this);
},
forEach: function (fn, thisp) {
var p = this._head,
i = 0,
len = this.length;
while (i < len && p) {
fn.call(thisp || this, p.data, i, this);
p = p.next;
i++;
}
},
map: function (fn, thisp) {
var n = new FastList();
this.forEach(function (v, i, me) {
n.push(fn.call(thisp || me, v, i, me));
});
return n;
},
filter: function (fn, thisp) {
var n = new FastList();
this.forEach(function (v, i, me) {
if (fn.call(thisp || me, v, i, me)) n.push(v);
});
return n;
},
reduce: function (fn, val, thisp) {
var i = 0,
p = this._head,
len = this.length;
if (!val) {
i = 1;
val = p && p.data;
p = p && p.next;
}
while (i < len && p) {
val = fn.call(thisp || this, val, p.data, this);
i++;
p = p.next;
}
return val;
}
};
module.exports = FastList;
})();
})(fastList);
var LinkedList = fastList.exports;
function floodFill() {
let options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};
const {
x = 0,
y = 0,
inPlace = true
} = options;
const destination = inPlace ? this : Image.createFrom(this);
this.checkProcessable('floodFill', {
bitDepth: 1
});
const bit = this.getBitXY(x, y);
if (bit) return destination;
const queue = new LinkedList();
queue.push(new Node(x, y));
while (queue.length > 0) {
const node = queue.shift();
destination.setBitXY(node.x, node.y);
for (let i = node.x + 1; i < this.width; i++) {
if (!destination.getBitXY(i, node.y) && !this.getBitXY(i, node.y)) {
destination.setBitXY(i, node.y);
if (node.y + 1 < this.height && !this.getBitXY(i, node.y + 1)) {
queue.push(new Node(i, node.y + 1));
}
if (node.y - 1 >= 0 && !this.getBitXY(i, node.y - 1)) {
queue.push(new Node(i, node.y - 1));
}
} else {
break;
}
} // eslint-disable-next-line for-direction
for (let i = node.x - 1; i >= 0; i++) {
if (!destination.getBitXY(i, node.y) && !this.getBitXY(i, node.y)) {
destination.setBitXY(i, node.y);
if (node.y + 1 < this.height && !this.getBitXY(i, node.y + 1)) {
queue.push(new Node(i, node.y + 1));
}
if (node.y - 1 >= 0 && !this.getBitXY(i, node.y - 1)) {
queue.push(new Node(i, node.y - 1));
}
} else {
break;
}
}
}
return destination;
}
function Node(x, y) {
this.x = x;
this.y = y;
}
function _extends() {
_extends = Object.assign ? Object.assign.bind() : function (target) {
for (var i = 1; i < arguments.length; i++) {
var source = arguments[i];
for (var key in source) {
if (Object.prototype.hasOwnProperty.call(source, key)) {
target[key] = source[key];
}
}
}
return target;
};
return _extends.apply(this, arguments);
}
function hsv2rgb(h, s, v) {
s = s / 100;
v = v / 100;
var rgb = [];
var c = v * s;
var hh = h / 60;
var x = c * (1 - Math.abs(hh % 2 - 1));
var m = v - c;
if (hh >= 0 && hh < 1) {
rgb = [c, x, 0];
} else if (hh >= 1 && hh < 2) {
rgb = [x, c, 0];
} else if (hh >= 2 && hh < 3) {
rgb = [0, c, x];
} else if (h >= 3 && hh < 4) {
rgb = [0, x, c];
} else if (h >= 4 && hh < 5) {
rgb = [x, 0, c];
} else if (h >= 5 && hh <= 6) {
rgb = [c, 0, x];
} else {
rgb = [0, 0, 0];
}
return {
r: Math.round(255 * (rgb[0] + m)),
g: Math.round(255 * (rgb[1] + m)),
b: Math.round(255 * (rgb[2] + m))
};
}
function hsl2hsv(h, s, l) {
s *= (l < 50 ? l : 100 - l) / 100;
return {
h: h,
s: 2 * s / (l + s) * 100,
v: l + s
};
}
function hsl2rgb$1(h, s, l) {
var hsv = hsl2hsv(h, s, l);
return hsv2rgb(hsv.h, hsv.s, hsv.v);
}
var colors = {
aliceblue: [240, 248, 255],
antiquewhite: [250, 235, 215],
aqua: [0, 255, 255],
aquamarine: [127, 255, 212],
azure: [240, 255, 255],
beige: [245, 245, 220],
bisque: [255, 228, 196],
black: [0, 0, 0],
blanchedalmond: [255, 235, 205],
blue: [0, 0, 255],
blueviolet: [138, 43, 226],
brown: [165, 42, 42],
burlywood: [222, 184, 135],
cadetblue: [95, 158, 160],
chartreuse: [127, 255, 0],
chocolate: [210, 105, 30],
coral: [255, 127, 80],
cornflowerblue: [100, 149, 237],
cornsilk: [255, 248, 220],
crimson: [220, 20, 60],
cyan: [0, 255, 255],
darkblue: [0, 0, 139],
darkcyan: [0, 139, 139],
darkgoldenrod: [184, 132, 11],
darkgray: [169, 169, 169],
darkgreen: [0, 100, 0],
darkgrey: [169, 169, 169],
darkkhaki: [189, 183, 107],
darkmagenta: [139, 0, 139],
darkolivegreen: [85, 107, 47],
darkorange: [255, 140, 0],
darkorchid: [153, 50, 204],
darkred: [139, 0, 0],
darksalmon: [233, 150, 122],
darkseagreen: [143, 188, 143],
darkslateblue: [72, 61, 139],
darkslategray: [47, 79, 79],
darkslategrey: [47, 79, 79],
darkturquoise: [0, 206, 209],
darkviolet: [148, 0, 211],
deeppink: [255, 20, 147],
deepskyblue: [0, 191, 255],
dimgray: [105, 105, 105],
dimgrey: [105, 105, 105],
dodgerblue: [30, 144, 255],
firebrick: [178, 34, 34],
floralwhite: [255, 255, 240],
forestgreen: [34, 139, 34],
fuchsia: [255, 0, 255],
gainsboro: [220, 220, 220],
ghostwhite: [248, 248, 255],
gold: [255, 215, 0],
goldenrod: [218, 165, 32],
gray: [128, 128, 128],
green: [0, 128, 0],
greenyellow: [173, 255, 47],
grey: [128, 128, 128],
honeydew: [240, 255, 240],
hotpink: [255, 105, 180],
indianred: [205, 92, 92],
indigo: [75, 0, 130],
ivory: [255, 255, 240],
khaki: [240, 230, 140],
lavender: [230, 230, 250],
lavenderblush: [255, 240, 245],
lawngreen: [124, 252, 0],
lemonchiffon: [255, 250, 205],
lightblue: [173, 216, 230],
lightcoral: [240, 128, 128],
lightcyan: [224, 255, 255],
lightgoldenrodyellow: [250, 250, 210],
lightgray: [211, 211, 211],
lightgreen: [144, 238, 144],
lightgrey: [211, 211, 211],
lightpink: [255, 182, 193],
lightsalmon: [255, 160, 122],
lightseagreen: [32, 178, 170],
lightskyblue: [135, 206, 250],
lightslategray: [119, 136, 153],
lightslategrey: [119, 136, 153],
lightsteelblue: [176, 196, 222],
lightyellow: [255, 255, 224],
lime: [0, 255, 0],
limegreen: [50, 205, 50],
linen: [250, 240, 230],
magenta: [255, 0, 255],
maroon: [128, 0, 0],
mediumaquamarine: [102, 205, 170],
mediumblue: [0, 0, 205],
mediumorchid: [186, 85, 211],
mediumpurple: [147, 112, 219],
mediumseagreen: [60, 179, 113],
mediumslateblue: [123, 104, 238],
mediumspringgreen: [0, 250, 154],
mediumturquoise: [72, 209, 204],
mediumvioletred: [199, 21, 133],
midnightblue: [25, 25, 112],
mintcream: [245, 255, 250],
mistyrose: [255, 228, 225],
moccasin: [255, 228, 181],
navajowhite: [255, 222, 173],
navy: [0, 0, 128],
oldlace: [253, 245, 230],
olive: [128, 128, 0],
olivedrab: [107, 142, 35],
orange: [255, 165, 0],
orangered: [255, 69, 0],
orchid: [218, 112, 214],
palegoldenrod: [238, 232, 170],
palegreen: [152, 251, 152],
paleturquoise: [175, 238, 238],
palevioletred: [219, 112, 147],
papayawhip: [255, 239, 213],
peachpuff: [255, 218, 185],
peru: [205, 133, 63],
pink: [255, 192, 203],
plum: [221, 160, 203],
powderblue: [176, 224, 230],
purple: [128, 0, 128],
rebeccapurple: [102, 51, 153],
red: [255, 0, 0],
rosybrown: [188, 143, 143],
royalblue: [65, 105, 225],
saddlebrown: [139, 69, 19],
salmon: [250, 128, 114],
sandybrown: [244, 164, 96],
seagreen: [46, 139, 87],
seashell: [255, 245, 238],
sienna: [160, 82, 45],
silver: [192, 192, 192],
skyblue: [135, 206, 235],
slateblue: [106, 90, 205],
slategray: [119, 128, 144],
slategrey: [119, 128, 144],
snow: [255, 255, 250],
springgreen: [0, 255, 127],
steelblue: [70, 130, 180],
tan: [210, 180, 140],
teal: [0, 128, 128],
thistle: [216, 191, 216],
tomato: [255, 99, 71],
turquoise: [64, 224, 208],
violet: [238, 130, 238],
wheat: [245, 222, 179],
white: [255, 255, 255],
whitesmoke: [245, 245, 245],
yellow: [255, 255, 0],
yellowgreen: [154, 205, 5]
};
function parse(str) {
return named(str) || hex3(str) || hex6(str) || rgb(str) || rgba$1(str) || hsl(str) || hsla(str);
}
function named(str) {
var c = colors[str.toLowerCase()];
if (!c) return;
return {
r: c[0],
g: c[1],
b: c[2],
a: 100
};
}
function rgb(str) {
var m = str.match(/rgb\(([^)]+)\)/);
if (m) {
var parts = m[1].split(/ *, */).map(Number);
return {
r: parts[0],
g: parts[1],
b: parts[2],
a: 100
};
}
}
function rgba$1(str) {
var m = str.match(/rgba\(([^)]+)\)/);
if (m) {
var parts = m[1].split(/ *, */).map(Number);
return {
r: parts[0],
g: parts[1],
b: parts[2],
a: parts[3] * 100
};
}
}
function hex6(str) {
if ('#' === str[0] && 7 === str.length) {
return {
r: parseInt(str.slice(1, 3), 16),
g: parseInt(str.slice(3, 5), 16),
b: parseInt(str.slice(5, 7), 16),
a: 100
};
}
}
function hex3(str) {
if ('#' === str[0] && 4 === str.length) {
return {
r: parseInt(str[1] + str[1], 16),
g: parseInt(str[2] + str[2], 16),
b: parseInt(str[3] + str[3], 16),
a: 100
};
}
}
function hsl(str) {
var m = str.match(/hsl\(([^)]+)\)/);
if (m) {
var parts = m[1].split(/ *, */);
var h = parseInt(parts[0], 10);
var s = parseInt(parts[1], 10);
var l = parseInt(parts[2], 10);
var _rgb = hsl2rgb$1(h, s, l);
return _extends({}, _rgb, {
a: 100
});
}
}
function hsla(str) {
var m = str.match(/hsla\(([^)]+)\)/);
if (m) {
var parts = m[1].split(/ *, */);
var h = parseInt(parts[0], 10);
var s = parseInt(parts[1], 10);
var l = parseInt(parts[2], 10);
var a = parseInt(parseFloat(parts[3]) * 100, 10);
var _rgb2 = hsl2rgb$1(h, s, l);
return _extends({}, _rgb2, {
a: a
});
}
}
function css2array(string) {
let color = parse(string);
return [color.r, color.g, color.b, Math.round(color.a * 255 / 100)];
}
function hue2rgb(p, q, t) {
if (t < 0) {
t += 1;
}
if (t > 1) {
t -= 1;
}
if (t < 1 / 6) {
return p + (q - p) * 6 * t;
}
if (t < 1 / 2) {
return q;
}
if (t < 2 / 3) {
return p + (q - p) * (2 / 3 - t) * 6;
}
return p;
}
function hsl2rgb(h, s, l) {
let m1, m2, hue, r, g, b;
s /= 100;
l /= 100;
if (s === 0) {
r = g = b = l * 255;
} else {
if (l <= 0.5) {
m2 = l * (s + 1);
} else {
m2 = l + s - l * s;
}
m1 = l * 2 - m2;
hue = h / 360;
r = hue2rgb(m1, m2, hue + 1 / 3);
g = hue2rgb(m1, m2, hue);
b = hue2rgb(m1, m2, hue - 1 / 3);
}
return {
r: r,
g: g,
b: b
};
}
function getDistinctColors(numColors) {
let colors = new Array(numColors);
let j = 0;
for (let i = 0; i < 360; i += 360 / numColors) {
j++;
let color = hsl2rgb(i, 100, 30 + j % 4 * 15);
colors[j - 1] = [Math.round(color.r * 255), Math.round(color.g * 255), Math.round(color.b * 255)];
}
return colors;
}
function getRandomColor() {
return [Math.floor(Math.random() * 256), Math.floor(Math.random() * 256), Math.floor(Math.random() * 256)];
}
/**
* returns an array of colors based on various options
* by default this methods return 50 distinct colors
* @param {object} [options]
* @param {Array|string} [options.color] - Array of 3 elements (R, G, B) or a valid css color.
* @param {Array>|Array} [options.colors] - Array of Array of 3 elements (R, G, B) for each color of each mask
* @param {boolean} [options.randomColors=true] - To paint each mask with a random color if color and colors are undefined
* @param {boolean} [options.distinctColors=false] - To paint each mask with a different color if color and colors are undefined
* @param {boolean} [options.numberColors=50] - number of colors to generate by default
* @return {Array} Array of colors
* @private
*/
function getColors(options) {
let {
color,
colors,
randomColors,
// true / false
numberColors = 50
} = options;
if (color && !Array.isArray(color)) {
color = css2array(color);
}
if (color) {
return [color];
}
if (colors) {
colors = colors.map(function (color) {
if (!Array.isArray(color)) {
return css2array(color);
}
return color;
});
return colors;
}
if (randomColors) {
colors = new Array(numberColors);
for (let i = 0; i < numberColors; i++) {
colors[i] = getRandomColor();
}
}
return getDistinctColors(numberColors);
}
/**
* Paint a label or labels on the current image.
* @memberof Image
* @instance
*
* @param {Array} [labels] - Array of labels to display.
* @param {Array>} [positions] - Array of points [x,y] where the labels should be displayed.
* @param {object} [options]
* @param {Array|string} [options.color='red'] - Array of 3 elements (R, G, B) or a valid css color.
* @param {Array>|Array} [options.colors] - Array of Array of 3 elements (R, G, B) for each color of each label.
* @param {string|Array} [options.font='12px Helvetica'] - Paint the labels in a different CSS style
* @param {number|Array} [options.rotate=0] - Rotate each label of a define angle
* @return {this} The original painted image
*/
function paintLabels(labels, positions) {
let options = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : {};
let {
color = 'blue',
colors,
font = '12px Helvetica',
rotate = 0
} = options;
this.checkProcessable('paintMasks', {
channels: [3, 4],
bitDepth: [8, 16],
colorModel: RGB$1
});
if (!Array.isArray(labels)) {
throw Error('paintLabels: labels must be an array');
}
if (!Array.isArray(positions)) {
throw Error('paintLabels: positions must be an array');
}
if (color && !Array.isArray(color)) {
color = css2array(color);
}
if (colors) {
colors = colors.map(function (color) {
if (!Array.isArray(color)) {
return css2array(color);
}
return color;
});
} else {
colors = [color];
}
if (labels.length !== positions.length) {
throw Error('paintLabels: positions and labels must be arrays from the same size');
} // We convert everything to array so that we can simply loop thourgh all the labels
if (!Array.isArray(font)) font = [font];
if (!Array.isArray(rotate)) rotate = [rotate];
let canvas = this.getCanvas();
let ctx = canvas.getContext('2d');
for (let i = 0; i < labels.length; i++) {
ctx.save();
let color = colors[i % colors.length];
ctx.fillStyle = `rgba(${color[0]},${color[1]},${color[2]},${color[3] / this.maxValue})`;
ctx.font = font[i % font.length];
let position = positions[i];
ctx.translate(position[0], position[1]);
ctx.rotate(rotate[i % rotate.length] / 180 * Math.PI);
ctx.fillText(labels[i], 0, 0);
ctx.restore();
}
this.data = Uint8Array.from(ctx.getImageData(0, 0, this.width, this.height).data);
return this;
}
/**
* Paint a mask or masks on the current image.
* @memberof Image
* @instance
* @param {(Image|Array)} masks - Image containing a binary mask
* @param {object} [options]
* @param {Array|string} [options.color] - Array of 3 elements (R, G, B) or a valid css color.
* @param {Array>|Array} [options.colors] - Array of Array of 3 elements (R, G, B) for each color of each mask
* @param {boolean} [options.randomColors=true] - To paint each mask with a random color if color and colors are undefined
* @param {boolean} [options.distinctColors=false] - To paint each mask with a different color if color and colors are undefined
* @param {number} [options.alpha=255] - Value from 0 to 255 to specify the alpha.
* @param {Array} [options.labels] - Array of labels to display. Should the the same size as masks.
* @param {Array>} [options.labelsPosition] - Array of points [x,y] where the labels should be displayed.
* By default it is the 0,0 position of the correesponding mask.
* @param {string} [options.labelColor='blue'] - Define the color to paint the labels
* @param {string} [options.labelFont='12px Helvetica'] - Paint the labels in a different CSS style
* @return {this} The original painted image
*/
function paintMasks(masks) {
let options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
let {
alpha = 255,
labels = [],
labelsPosition = [],
labelColor = 'blue',
labelFont = '12px Helvetica'
} = options;
this.checkProcessable('paintMasks', {
channels: [3, 4],
bitDepth: [8, 16],
colorModel: RGB$1
});
let colors = getColors(Object.assign({}, options, {
numberColors: masks.length
}));
if (!Array.isArray(masks)) {
masks = [masks];
}
for (let i = 0; i < masks.length; i++) {
let mask = masks[i]; // we need to find the parent image to calculate the relative position
let color = colors[i % colors.length];
for (let x = 0; x < mask.width; x++) {
for (let y = 0; y < mask.height; y++) {
if (mask.getBitXY(x, y)) {
for (let component = 0; component < Math.min(this.components, color.length); component++) {
if (alpha === 255) {
this.setValueXY(x + mask.position[0], y + mask.position[1], component, color[component]);
} else {
let value = this.getValueXY(x + mask.position[0], y + mask.position[1], component);
value = Math.round((value * (255 - alpha) + color[component] * alpha) / 255);
this.setValueXY(x + mask.position[0], y + mask.position[1], component, value);
}
}
}
}
}
}
if (Array.isArray(labels) && labels.length > 0) {
let canvas = this.getCanvas();
let ctx = canvas.getContext('2d');
ctx.fillStyle = labelColor;
ctx.font = labelFont;
for (let i = 0; i < Math.min(masks.length, labels.length); i++) {
let position = labelsPosition[i] ? labelsPosition[i] : masks[i].position;
ctx.fillText(labels[i], position[0], position[1]);
}
this.data = Uint8Array.from(ctx.getImageData(0, 0, this.width, this.height).data);
}
return this;
}
function zerosMatrix(height, width) {
let matrix = new Array(height);
for (let i = 0; i < height; i++) {
matrix[i] = new Array(width).fill(0);
}
return matrix;
}
const cross = [[0, 0, 1, 0, 0], [0, 0, 1, 0, 0], [1, 1, 1, 1, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 0]];
const smallCross = [[0, 1, 0], [1, 1, 1], [0, 1, 0]];
/**
* Class representing a shape
* @class Shape
* @param {object} [options]
* @param {string} [options.kind='cross'] - Predefined matrix shape, 'cross' or 'smallCross'
* @param {string} [options.shape] - Value may be 'square', 'rectangle', 'circle', 'ellipse' or 'triangle'
* The size of the shape will be determined by the size, width and height.
* A Shape is by default filled.
* @param {number} [options.size]
* @param {number} [options.width=options.size] - width of the shape. Must be odd.
* @param {number} [options.height=options.size] - width of the shape. Must be odd.
* @param {boolean} [options.filled=true] - If false only the border ot the shape is taken into account.
*/
class Shape {
constructor() {
let options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};
let {
kind = 'cross',
shape,
size,
width,
height,
filled = true
} = options;
if (size) {
width = size;
height = size;
}
if (shape) {
switch (shape.toLowerCase()) {
case 'square':
case 'rectangle':
this.matrix = rectangle(width, height, {
filled
});
break;
case 'circle':
case 'ellipse':
this.matrix = ellipse(width, height, {
filled
});
break;
case 'triangle':
this.matrix = triangle(width, height, {
filled
});
break;
default:
throw new Error(`Shape: unexpected shape: ${shape}`);
}
} else if (kind) {
switch (kind.toLowerCase()) {
case 'cross':
this.matrix = cross;
break;
case 'smallcross':
this.matrix = smallCross;
break;
default:
throw new Error(`Shape: unexpected kind: ${kind}`);
}
} else {
throw new Error('Shape: expected a kind or a shape option');
}
this.height = this.matrix.length;
this.width = this.matrix[0].length;
this.halfHeight = this.height / 2 >> 0;
this.halfWidth = this.width / 2 >> 0;
}
/**
* Returns an array of [x,y] points
* @return {Array>} - Array of [x,y] points
*/
getPoints() {
let matrix = this.matrix;
let points = [];
for (let y = 0; y < matrix.length; y++) {
for (let x = 0; x < matrix[0].length; x++) {
if (matrix[y][x]) {
points.push([x - this.halfWidth, y - this.halfHeight]);
}
}
}
return points;
}
/**
* Returns a Mask (1 bit Image) corresponding to this shape.
* @return {Image}
*/
getMask() {
let img = new Image(this.width, this.height, {
kind: BINARY
});
for (let y = 0; y < this.matrix.length; y++) {
for (let x = 0; x < this.matrix[0].length; x++) {
if (this.matrix[y][x]) {
img.setBitXY(x, y);
}
}
}
return img;
}
}
function rectangle(width, height, options) {
const matrix = zerosMatrix(height, width);
if (options.filled) {
for (let y = 0; y < height; y++) {
for (let x = 0; x < width; x++) {
matrix[y][x] = 1;
}
}
} else {
for (let y of [0, height - 1]) {
for (let x = 0; x < width; x++) {
matrix[y][x] = 1;
}
}
for (let y = 0; y < height; y++) {
for (let x of [0, width - 1]) {
matrix[y][x] = 1;
}
}
}
return matrix;
}
function ellipse(width, height, options) {
const matrix = zerosMatrix(height, width);
let yEven = 1 - height % 2;
let xEven = 1 - width % 2;
let a = Math.floor((width - 1) / 2); // horizontal ellipse axe
let b = Math.floor((height - 1) / 2); // vertical ellipse axe
let a2 = a * a;
let b2 = b * b;
if (options.filled) {
for (let y = 0; y <= b; y++) {
let shift = Math.floor(Math.sqrt(a2 - a2 * y * y / b2));
for (let x = a - shift; x <= a; x++) {
matrix[b - y][x] = 1;
matrix[b + y + yEven][x] = 1;
matrix[b - y][width - x - 1] = 1;
matrix[b + y + yEven][width - x - 1] = 1;
}
}
} else {
for (let y = 0; y <= b; y++) {
let shift = Math.floor(Math.sqrt(a2 - a2 * y * y / b2));
let x = a - shift;
matrix[b - y][x] = 1;
matrix[b + y + yEven][x] = 1;
matrix[b - y][width - x - 1] = 1;
matrix[b + y + yEven][width - x - 1] = 1;
}
for (let x = 0; x <= a; x++) {
let shift = Math.floor(Math.sqrt(b2 - b2 * x * x / a2));
let y = b - shift;
matrix[y][a - x] = 1;
matrix[y][a + x + xEven] = 1;
matrix[height - y - 1][a - x] = 1;
matrix[height - y - 1][a + x + xEven] = 1;
}
}
return matrix;
}
function triangle(width, height, options) {
if (!options.filled) {
throw new Error('Non filled triangle is not implemented');
}
const matrix = zerosMatrix(height, width);
for (let y = 0; y < height; y++) {
let shift = Math.floor((1 - y / height) * width / 2);
for (let x = shift; x < width - shift; x++) {
matrix[y][x] = 1;
}
}
return matrix;
}
/**
* Paint pixels on the current image.
* @memberof Image
* @instance
* @param {Array>} points - Array of [x,y] points
* @param {object} [options]
* @param {Array|string} [options.color] - Array of 3 elements (R, G, B) or a valid css color.
* @param {Array>|Array} [options.colors] - Array of Array of 3 elements (R, G, B) for each color of each mask
* @param {boolean} [options.randomColors=true] - To paint each mask with a random color if color and colors are undefined
* @param {boolean} [options.distinctColors=false] - To paint each mask with a different color if color and colors are undefined
* @param {object} [options.shape] - Definition of the shape, see Shape contructor.
* @return {this} The original painted image
*/
function paintPoints(points) {
let options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
let {
shape
} = options;
this.checkProcessable('paintPoints', {
bitDepth: [8, 16]
});
let colors = getColors(Object.assign({}, options, {
numberColors: points.length
}));
let shapePixels = new Shape(shape).getPoints();
let numberChannels = Math.min(this.channels, colors[0].length);
for (let i = 0; i < points.length; i++) {
let color = colors[i % colors.length];
let xP = points[i][0];
let yP = points[i][1];
for (let j = 0; j < shapePixels.length; j++) {
let xS = shapePixels[j][0];
let yS = shapePixels[j][1];
if (xP + xS >= 0 && yP + yS >= 0 && xP + xS < this.width && yP + yS < this.height) {
let position = (xP + xS + (yP + yS) * this.width) * this.channels;
for (let channel = 0; channel < numberChannels; channel++) {
this.data[position + channel] = color[channel];
}
}
}
}
return this;
}
/**
* Paint a polyline defined by an array of points.
* @memberof Image
* @instance
* @param {Array>} points - Array of [x,y] points
* @param {object} [options]
* @param {Array} [options.color=[max,0,0]] - Array of 3 elements (R, G, B), default is red.
* @param {boolean} [options.closed=false] - Close the polyline.
* @return {this} The original painted image
*/
function paintPolyline(points) {
let options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
let {
color = [this.maxValue, 0, 0],
closed = false
} = options;
this.checkProcessable('paintPoints', {
bitDepth: [1, 8, 16]
});
let numberChannels = Math.min(this.channels, color.length);
for (let i = 0; i < points.length - 1 + closed; i++) {
let from = points[i];
let to = points[(i + 1) % points.length];
let dx = to[0] - from[0];
let dy = to[1] - from[1];
let steps = Math.max(Math.abs(dx), Math.abs(dy));
let xIncrement = dx / steps;
let yIncrement = dy / steps;
let x = from[0];
let y = from[1];
for (let j = 0; j <= steps; j++) {
let xPoint = Math.round(x);
let yPoint = Math.round(y);
if (xPoint >= 0 && yPoint >= 0 && xPoint < this.width && yPoint < this.height) {
if (this.bitDepth === 1) {
this.setBitXY(xPoint, yPoint);
} else {
let position = (xPoint + yPoint * this.width) * this.channels;
for (let channel = 0; channel < numberChannels; channel++) {
this.data[position + channel] = color[channel];
}
}
}
x = x + xIncrement;
y = y + yIncrement;
}
}
return this;
}
/**
* Paint polylines on the current image.
* @memberof Image
* @instance
* @param {Array>>} polylines - Array of array of [x,y] points
* @param {object} [options]
* @param {Array|string} [options.color] - Array of 3 elements (R, G, B) or a valid css color.
* @param {Array>|Array} [options.colors] - Array of Array of 3 elements (R, G, B) for each color of each mask
* @param {boolean} [options.randomColors=true] - To paint each mask with a random color if color and colors are undefined
* @param {boolean} [options.distinctColors=false] - To paint each mask with a different color if color and colors are undefined
* @param {object} [options.shape] - Definition of the shape, see Shape contructor.
* @return {this} The original painted image
*/
function paintPolylines(polylines) {
let options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
let optionsCopy = Object.assign({}, options);
this.checkProcessable('paintPolylines', {
bitDepth: [8, 16]
});
let colors = getColors(Object.assign({}, options, {
numberColors: polylines.length
}));
for (let i = 0; i < polylines.length; i++) {
optionsCopy.color = colors[i % colors.length];
this.paintPolyline(polylines[i], optionsCopy);
}
return this;
}
/**
* Paint a polygon defined by an array of points.
* @memberof Image
* @instance
* @param {Array>} points - Array of [x,y] points
* @param {object} [options]
* @param {Array} [options.color=[max,0,0]] - Array of 3 elements (R, G, B), default is red.
* @param {boolean} [options.filled=false] - If you want the polygon to be filled or not.
* @return {this} The original painted image
*/
function paintPolygon(points) {
let options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
let {
color = [this.maxValue, 0, 0],
filled = false
} = options;
this.checkProcessable('paintPoints', {
bitDepth: [1, 8, 16]
});
options.closed = true;
let filteredPoints = deleteDouble(points);
if (filled === false) {
return this.paintPolyline(points, options);
} else {
let matrixBinary = Array(this.height);
for (let i = 0; i < this.height; i++) {
matrixBinary[i] = [];
for (let j = 0; j < this.width; j++) {
matrixBinary[i].push(0);
}
}
for (let p = 0; p < filteredPoints.length; p++) {
const line = lineBetweenTwoPoints(filteredPoints[p], filteredPoints[(p + 1) % filteredPoints.length]);
for (let y = 0; y < this.height; y++) {
for (let x = 0; x < this.width; x++) {
if (isAtTheRightOfTheLine(x, y, line, this.height)) {
matrixBinary[y][x] = matrixBinary[y][x] === 0 ? 1 : 0;
}
}
}
}
for (let y = 0; y < this.height; y++) {
for (let x = 0; x < this.width; x++) {
if (matrixBinary[y][x] === 1) {
if (this.bitDepth === 1) {
this.setBitXY(x, y);
} else {
let numberChannels = Math.min(this.channels, color.length);
let position = (x + y * this.width) * this.channels;
for (let channel = 0; channel < numberChannels; channel++) {
this.data[position + channel] = color[channel];
}
}
}
}
}
return this.paintPolyline(points, options);
}
}
function deleteDouble(points) {
let finalPoints = [];
for (let i = 0; i < points.length; i++) {
if (points[i][0] === points[(i + 1) % points.length][0] && points[i][1] === points[(i + 1) % points.length][1]) {
continue;
} else if (points[i][0] === points[(i - 1 + points.length) % points.length][0] && points[i][1] === points[(i - 1 + points.length) % points.length][1]) {
continue;
} else if (points[(i + 1) % points.length][0] === points[(i - 1 + points.length) % points.length][0] && points[(i - 1 + points.length) % points.length][1] === points[(i + 1) % points.length][1]) {
continue; // we don't consider this point only
} else {
finalPoints.push(points[i]);
}
}
return finalPoints;
}
function lineBetweenTwoPoints(p1, p2) {
if (p1[0] === p2[0]) {
return {
a: 0,
b: p1[0],
vertical: true
}; // we store the x of the vertical line into b
} else {
const coeffA = (p2[1] - p1[1]) / (p2[0] - p1[0]);
const coeffB = p1[1] - coeffA * p1[0];
return {
a: coeffA,
b: coeffB,
vertical: false
};
}
}
function isAtTheRightOfTheLine(x, y, line, height) {
if (line.vertical === true) {
return line.b <= x;
} else {
if (line.a === 0) {
return false;
} else {
const xline = (y - line.b) / line.a;
return xline < x && xline >= 0 && xline <= height;
}
}
}
/**
* Paint an array of polygons on the current image.
* @memberof Image
* @instance
* @param {Array>>} polygons - Array of array of [x,y] points
* @param {object} [options]
* @param {Array|string} [options.color] - Array of 3 elements (R, G, B) or a valid css color.
* @param {Array>|Array} [options.colors] - Array of Array of 3 elements (R, G, B) for each color of each mask
* @param {boolean} [options.randomColors=true] - To paint each mask with a random color if color and colors are undefined
* @param {boolean} [options.distinctColors=false] - To paint each mask with a different color if color and colors are undefined
* @param {object} [options.shape] - Definition of the shape, see Shape contructor.
* @return {this} The original painted image
*/
function paintPolygons(polygons) {
let options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
let optionsCopy = Object.assign({}, options);
this.checkProcessable('paintPolygons', {
bitDepth: [8, 16]
});
let colors = getColors(Object.assign({}, options, {
numberColors: polygons.length
}));
for (let i = 0; i < polygons.length; i++) {
optionsCopy.color = colors[i % colors.length];
this.paintPolygon(polygons[i], optionsCopy);
}
return this;
}
/**
* Returns a histogram for the specified channel
* @memberof Image
* @instance
* @param {object} [options]
* @param {number} [options.maxSlots=256]
* @param {number} [options.channel]
* @param {boolean} [options.useAlpha=true]
* @return {number[]}
*/
function getHistogram() {
let options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};
let {
maxSlots = 256,
channel,
useAlpha = true
} = options;
this.checkProcessable('getHistogram', {
bitDepth: [1, 8, 16]
});
if (channel === undefined) {
if (this.components > 1) {
throw new RangeError('You need to define the channel for an image that contains more than one channel');
}
channel = 0;
}
return getChannelHistogram.call(this, channel, {
useAlpha,
maxSlots
});
}
/**
* Returns an array (number of channels) of array (number of slots) containing
* the number of data of a specific intensity.
* Intensity may be grouped by the maxSlots parameter.
* @memberof Image
* @instance
* @param {object} [options]
* @param {number} [options.maxSlots] - Number of slots in the resulting
* array. The intensity will be evently distributed between 0 and
* the maxValue allowed for this image (255 for usual images).
* If maxSlots = 8, all the intensities between 0 and 31 will be
* placed in the slot 0, 32 to 63 in slot 1, ...
* @return {Array>}
* @example
* image.getHistograms({
* maxSlots: 8,
* useAlpha: false
* });
*/
function getHistograms() {
let options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};
const {
maxSlots = 256,
useAlpha = true
} = options;
this.checkProcessable('getHistograms', {
bitDepth: [8, 16]
});
let results = new Array(useAlpha ? this.components : this.channels);
for (let i = 0; i < results.length; i++) {
results[i] = getChannelHistogram.call(this, i, {
useAlpha,
maxSlots
});
}
return results;
}
function getChannelHistogram(channel, options) {
let {
useAlpha,
maxSlots
} = options; // for a mask, return a number array containing count of black and white points (black = array[0], white = array[1])
if (this.bitDepth === 1) {
let blackWhiteCount = [0, 0];
for (let i = 0; i < this.height; i++) {
for (let j = 0; j < this.width; j++) {
let value = this.getBitXY(i, j);
if (value === 0) {
blackWhiteCount[0] += 1;
} else if (value === 1) {
blackWhiteCount[1] += 1;
}
}
}
return blackWhiteCount;
}
let bitSlots = Math.log2(maxSlots);
if (!isInteger$1(bitSlots)) {
throw new RangeError('maxSlots must be a power of 2, for example: 64, 256, 1024');
} // we will compare the bitSlots to the bitDepth of the image
// based on this we will shift the values. This allows to generate a histogram
// of 16 grey even if the images has 256 shade of grey
let bitShift = 0;
if (this.bitDepth > bitSlots) {
bitShift = this.bitDepth - bitSlots;
}
let data = this.data;
let result = newArray$1(Math.pow(2, Math.min(this.bitDepth, bitSlots)), 0);
if (useAlpha && this.alpha) {
let alphaChannelDiff = this.channels - channel - 1;
for (let i = channel; i < data.length; i += this.channels) {
result[data[i] >> bitShift] += data[i + alphaChannelDiff] / this.maxValue;
}
} else {
for (let i = channel; i < data.length; i += this.channels) {
result[data[i] >> bitShift]++;
}
}
return result;
}
/**
* @memberof Image
* @instance
* @param {object} [options]
* @param {boolean} [options.useAlpha=true]
* @param {number} [options.nbSlots=512]
* @return {number[]}
*/
function getColorHistogram() {
let options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};
let {
useAlpha = true,
nbSlots = 512
} = options;
this.checkProcessable('getColorHistogram', {
bitDepth: [8, 16],
components: [3]
});
let nbSlotsCheck = Math.log(nbSlots) / Math.log(8);
if (nbSlotsCheck !== Math.floor(nbSlotsCheck)) {
throw new RangeError('nbSlots must be a power of 8. Usually 8, 64, 512 or 4096');
}
let bitShift = this.bitDepth - nbSlotsCheck;
let data = this.data;
let result = newArray$1(Math.pow(8, nbSlotsCheck), 0);
let factor2 = Math.pow(2, nbSlotsCheck * 2);
let factor1 = Math.pow(2, nbSlotsCheck);
for (let i = 0; i < data.length; i += this.channels) {
let slot = (data[i] >> bitShift) * factor2 + (data[i + 1] >> bitShift) * factor1 + (data[i + 2] >> bitShift);
if (useAlpha && this.alpha) {
result[slot] += data[i + this.channels - 1] / this.maxValue;
} else {
result[slot]++;
}
}
return result;
}
/**
* Returns an array with the minimal value of each channel
* @memberof Image
* @instance
* @return {number[]} Array having has size the number of channels
*/
function min() {
this.checkProcessable('min', {
bitDepth: [8, 16, 32]
});
let result = newArray$1(this.channels, +Infinity);
for (let i = 0; i < this.data.length; i += this.channels) {
for (let c = 0; c < this.channels; c++) {
if (this.data[i + c] < result[c]) {
result[c] = this.data[i + c];
}
}
}
return result;
}
/**
* Returns an array with the maximal value of each channel
* @memberof Image
* @instance
* @return {number[]} Array having has size the number of channels
*/
function max() {
this.checkProcessable('max', {
bitDepth: [8, 16, 32]
});
let result = newArray$1(this.channels, -Infinity);
for (let i = 0; i < this.data.length; i += this.channels) {
for (let c = 0; c < this.channels; c++) {
if (this.data[i + c] > result[c]) {
result[c] = this.data[i + c];
}
}
}
return result;
}
/**
* Returns an array with the sum of the values of each channel
* @memberof Image
* @instance
* @return {number[]} Array having has size the number of channels
*/
function sum() {
this.checkProcessable('sum', {
bitDepth: [8, 16]
});
let result = newArray$1(this.channels, 0);
for (let i = 0; i < this.data.length; i += this.channels) {
for (let c = 0; c < this.channels; c++) {
result[c] += this.data[i + c];
}
}
return result;
}
/**
* Returns the moment of an image (https://en.wikipedia.org/wiki/Image_moment)
* @memberof Image
* @instance
* @param {number} [xPower=0]
* @param {number} [yPower=0]
* @return {number}
*/
function getMoment() {
let xPower = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : 0;
let yPower = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : 0;
this.checkProcessable('getMoment', {
bitDepth: [1]
});
let m = 0;
for (let x = 0; x < this.width; x++) {
for (let y = 0; y < this.height; y++) {
if (this.getBitXY(x, y) === 1) {
m += x ** xPower * y ** yPower;
}
}
}
return m;
}
/**
* Returns an array of object with position.
* @memberof Image
* @instance
* @param {object} [options]
* @param {Image} [options.mask] - Region of the image that is analyzed. The rest is omitted.
* @param {number} [options.region=3] - 1, 2 or 3. Define the region around each points that is analyzed. 1 corresponds to 4 cross points, 2 to
* the 8 points around and 3 to the 12 points around the central pixel.
* @param {number} [options.removeClosePoints=0] - Remove pts which have a distance between them smaller than this param.
* @param {boolean} [options.invert=false] - Search for minima instead of maxima
* @param {number} [options.maxEquals=2] - Maximal number of values that may be equal to the maximum
* @return {number[]} Array whose size is the number of channels
*/
function localMaxima() {
let options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};
let {
mask,
region = 3,
removeClosePoints = 0,
invert = false,
maxEquals = 2
} = options;
let image = this;
this.checkProcessable('localMaxima', {
bitDepth: [8, 16],
components: 1
});
region *= 4;
let maskExpectedValue = invert ? 0 : 1;
let dx = [+1, 0, -1, 0, +1, +1, -1, -1, +2, 0, -2, 0, +2, +2, -2, -2];
let dy = [0, +1, 0, -1, +1, -1, +1, -1, 0, +2, 0, -2, +2, -2, +2, -2];
let shift = region <= 8 ? 1 : 2;
let points = [];
for (let currentY = shift; currentY < image.height - shift; currentY++) {
for (let currentX = shift; currentX < image.width - shift; currentX++) {
if (mask && mask.getBitXY(currentX, currentY) !== maskExpectedValue) {
continue;
}
let counter = 0;
let nbEquals = 0;
let currentValue = image.data[currentX + currentY * image.width];
for (let dir = 0; dir < region; dir++) {
if (invert) {
// we search for minima
if (image.data[currentX + dx[dir] + (currentY + dy[dir]) * image.width] > currentValue) {
counter++;
}
} else {
if (image.data[currentX + dx[dir] + (currentY + dy[dir]) * image.width] < currentValue) {
counter++;
}
}
if (image.data[currentX + dx[dir] + (currentY + dy[dir]) * image.width] === currentValue) {
nbEquals++;
}
}
if (counter + nbEquals === region && nbEquals <= maxEquals) {
points.push([currentX, currentY]);
}
}
} // TODO How to make a more performant and general way
// we don't deal correctly here with groups of points that should be grouped if at the
// beginning one of them is closer to another
// Seems that we would ened to calculate a matrix and then split this matrix in 'independant matrices'
// Or to assign a cluster to each point and regroup them if 2 clusters are close to each other
// later approach seems much better
if (removeClosePoints > 0) {
for (let i = 0; i < points.length; i++) {
for (let j = i + 1; j < points.length; j++) {
if (Math.sqrt(Math.pow(points[i][0] - points[j][0], 2) + Math.pow(points[i][1] - points[j][1], 2)) < removeClosePoints) {
points[i][0] = points[i][0] + points[j][0] >> 1;
points[i][1] = points[i][1] + points[j][1] >> 1;
points.splice(j, 1);
j--;
}
}
}
}
return points;
}
/**
* Returns an array with the average value of each channel
* @memberof Image
* @instance
* @return {number[]} Array having has size the number of channels
*/
function mean() {
let histograms = this.getHistograms({
maxSlots: this.maxValue + 1
});
let result = new Array(histograms.length);
for (let c = 0; c < histograms.length; c++) {
let histogram = histograms[c];
result[c] = mean$2(histogram);
}
return result;
}
/**
* Returns an array with the median value of each channel
* @memberof Image
* @instance
* @return {number[]} Array having has size the number of channels
*/
function median() {
let histograms = this.getHistograms({
maxSlots: this.maxValue + 1
});
let result = new Array(histograms.length);
for (let c = 0; c < histograms.length; c++) {
let histogram = histograms[c];
result[c] = median$2(histogram);
}
return result;
}
/**
* Allows to generate an array of points for a binary image (bit depth = 1)
* @memberof Image
* @instance
* @return {Array>} - an array of [x,y] corresponding to the set pixels in the binary image
*/
function points() {
this.checkProcessable('points', {
bitDepth: [1]
});
const pixels = [];
for (let x = 0; x < this.width; x++) {
for (let y = 0; y < this.height; y++) {
if (this.getBitXY(x, y) === 1) {
pixels.push([x, y]);
}
}
}
return pixels;
}
/**
* Allows to generate an array of points for a binary image (bit depth = 1)
* The points consider the beginning and the end of each pixel
* This method is only used to calculate minimalBoundRectangle
* @memberof Image
* @instance
* @return {Array>} - an array of [x,y] corresponding to the set pixels in the binary image
*/
function extendedPoints() {
this.checkProcessable('extendedPoints', {
bitDepth: [1]
});
const pixels = [];
for (let y = 0; y < this.height; y++) {
for (let x = 0; x < this.width; x++) {
if (this.getBitXY(x, y) === 1) {
pixels.push([x, y]);
if (this.getBitXY(x + 1, y) !== 1) {
pixels.push([x + 1, y]);
pixels.push([x + 1, y + 1]);
if (this.getBitXY(x, y + 1) !== 1) {
pixels.push([x, y + 1]);
}
} else {
if (this.getBitXY(x, y + 1) !== 1) {
pixels.push([x, y + 1]);
pixels.push([x + 1, y + 1]);
}
} // this small optimization allows to reduce dramatically the number of points for MBR calculation
while (x < this.width - 2 && this.getBitXY(x + 1, y) === 1 && this.getBitXY(x + 2, y) === 1) {
x++;
}
}
}
}
return pixels;
}
/**
* An image may be derived from another image either by a crop
* or because it is a ROI (region of interest)
* Also a region of interest can be reprocessed to generated another
* set of region of interests.
* It is therefore important to keep the hierarchy of images to know
* which image is derived from which one and be able to get the
* relative position of one image in another
* This methods takes care of this.
* @memberof Image
* @instance
* @param {Image} targetImage
* @param {object} [options={}]
* @param {boolean} [options.defaultFurther=false] If set to true and no parent found returns the relative position
* to the further parent
* @return {number[]|boolean}
*/
function getRelativePosition(targetImage) {
let options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
if (this === targetImage) {
return [0, 0];
}
let position = [0, 0];
let currentImage = this;
while (currentImage) {
if (currentImage === targetImage) {
return position;
}
if (currentImage.position) {
position[0] += currentImage.position[0];
position[1] += currentImage.position[1];
}
currentImage = currentImage.parent;
} // we should never reach this place, this means we could not find the parent
// throw Error('Parent image was not found, can not get relative position.')
if (options.defaultFurther) return position;
return false;
}
/**
* Returns the number of transparent pixels
* @memberof Image
* @instance
* @param {object} [options]
* @param {number} [options.alpha=1] - Value of the alpha value to count.
* @return {number} Number of transparent pixels
*/
function countAlphaPixels() {
let options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};
let {
alpha = 1
} = options;
this.checkProcessable('countAlphaPixels', {
bitDepth: [8, 16],
alpha: 1
});
let count = 0;
if (alpha !== undefined) {
for (let i = this.components; i < this.data.length; i += this.channels) {
if (this.data[i] === alpha) {
count++;
}
}
return count;
} else {
// because there is an alpha channel all the pixels have an alpha
return this.size;
}
}
/**
* Computes the convex hull of a binary image using Andrew's Monotone Chain Algorithm
* http://www.algorithmist.com/index.php/Monotone_Chain_Convex_Hull
*
* @param points - An array of points.
* @param options - MCCH Algorithm options.
* @return Coordinates of the convex hull in clockwise order
*/
function monotoneChainConvexHull$1(points) {
let options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
const {
sorted
} = options;
if (!sorted) {
points = points.slice().sort(byXThenY);
}
const n = points.length;
const result = new Array(n * 2);
let k = 0;
for (let i = 0; i < n; i++) {
const point = points[i];
while (k >= 2 && cw(result[k - 2], result[k - 1], point) <= 0) {
k--;
}
result[k++] = point;
}
const t = k + 1;
for (let i = n - 2; i >= 0; i--) {
const point = points[i];
while (k >= t && cw(result[k - 2], result[k - 1], point) <= 0) {
k--;
}
result[k++] = point;
}
return result.slice(0, k - 1);
}
function cw(p1, p2, p3) {
return (p2[1] - p1[1]) * (p3[0] - p1[0]) - (p2[0] - p1[0]) * (p3[1] - p1[1]);
}
function byXThenY(point1, point2) {
if (point1[0] === point2[0]) {
return point1[1] - point2[1];
}
return point1[0] - point2[0];
}
/**
* Returns the convex hull of a binary image
* @memberof Image
* @instance
* @return {Array>}
*/
function monotoneChainConvexHull() {
return monotoneChainConvexHull$1(this.extendedPoints, {
sorted: false
});
}
/**
* Rounds all the x and y values of an array of points
* @param {Array>} points
* @return {Array>} modified input value
* @private
*/
function round(points) {
for (let i = 0; i < points.length; i++) {
points[i][0] = Math.round(points[i][0]);
points[i][1] = Math.round(points[i][1]);
}
return points;
}
/**
* Calculates a new point that is the difference p1 - p2
* @param {Array} p1
* @param {Array} p2
* @return {Array}
* @private
*/
function difference(p1, p2) {
return [p1[0] - p2[0], p1[1] - p2[1]];
}
/**
* Normalize a point
* @param {Array} p
* @return {Array}
* @private
*/
function normalize(p) {
let length = Math.sqrt(p[0] ** 2 + p[1] ** 2);
return [p[0] / length, p[1] / length];
}
/**
* We rotate an array of points
* @param {number} radians
* @param {Array>} srcPoints
* @param {Array>} destPoints
* @return {Array>}
* @private
*/
function rotate(radians, srcPoints, destPoints) {
if (destPoints === undefined) destPoints = new Array(srcPoints.length);
let cos = Math.cos(radians);
let sin = Math.sin(radians);
for (let i = 0; i < destPoints.length; ++i) {
destPoints[i] = [cos * srcPoints[i][0] - sin * srcPoints[i][1], sin * srcPoints[i][0] + cos * srcPoints[i][1]];
}
return destPoints;
}
/**
* Returns the perimeter represented by the points (a polygon)
* @param {Array>} points
*/
function perimeter(vertices) {
let total = 0;
for (let i = 0; i < vertices.length; i++) {
let fromX = vertices[i][0];
let fromY = vertices[i][1];
let toX = vertices[i === vertices.length - 1 ? 0 : i + 1][0];
let toY = vertices[i === vertices.length - 1 ? 0 : i + 1][1];
total += Math.sqrt((toX - fromX) ** 2 + (toY - fromY) ** 2);
}
return total;
}
/**
* Returns the surface represented by the points (a polygon)
* @param {Array>} points
*/
function surface(vertices) {
let total = 0;
for (let i = 0; i < vertices.length; i++) {
let addX = vertices[i][0];
let addY = vertices[i === vertices.length - 1 ? 0 : i + 1][1];
let subX = vertices[i === vertices.length - 1 ? 0 : i + 1][0];
let subY = vertices[i][1];
total += addX * addY * 0.5;
total -= subX * subY * 0.5;
}
return Math.abs(total);
}
/**
* Returns 2 points with minimal and maximal XY
* @param {Array>} points
* @return {Array>}
* @private
*/
function minMax(points) {
let xMin = +Infinity;
let yMin = +Infinity;
let xMax = -Infinity;
let yMax = -Infinity;
for (let i = 0; i < points.length; i++) {
if (points[i][0] < xMin) xMin = points[i][0];
if (points[i][0] > xMax) xMax = points[i][0];
if (points[i][1] < yMin) yMin = points[i][1];
if (points[i][1] > yMax) yMax = points[i][1];
}
return [[xMin, yMin], [xMax, yMax]];
}
/**
* Moves the minX, minY to 0,0
* All the points will be positive after this move
* @param {Array>} srcPoints
* @param {Array>} destPoints
* @return {Array>}
* @private
*/
function moveToZeroZero(srcPoints, destPoints) {
if (destPoints === undefined) {
destPoints = new Array(srcPoints.length).fill(0).map(() => []);
}
let minMaxValues = minMax(srcPoints);
let xMin = minMaxValues[0][0];
let yMin = minMaxValues[0][1];
for (let i = 0; i < srcPoints.length; i++) {
destPoints[i][0] = srcPoints[i][0] - xMin;
destPoints[i][1] = srcPoints[i][1] - yMin;
}
return destPoints;
}
/**
* Computes the minimum bounding box around a binary image
* https://www.researchgate.net/profile/Lennert_Den_Boer2/publication/303783472_A_Fast_Algorithm_for_Generating_a_Minimal_Bounding_Rectangle/links/5751a14108ae6807fafb2aa5.pdf
* @memberof Image
* @instance
* @param {object} [options]
* @param {Array>} [options.originalPoints]
* @return {Array>}
*/
function minimalBoundingRectangle() {
let options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};
const {
originalPoints = monotoneChainConvexHull.call(this)
} = options;
if (originalPoints.length === 0) {
return [];
}
if (originalPoints.length === 1) {
return [originalPoints[0], originalPoints[0], originalPoints[0], originalPoints[0]];
}
const p = new Array(originalPoints.length);
let minSurface = +Infinity;
let minSurfaceAngle = 0;
let mbr;
for (let i = 0; i < p.length; i++) {
let angle = getAngle$1(originalPoints[i], originalPoints[(i + 1) % p.length]);
rotate(-angle, originalPoints, p); // we rotate and translate so that this axe is in the bottom
let aX = p[i][0];
let aY = p[i][1];
let bX = p[(i + 1) % p.length][0];
let bY = p[(i + 1) % p.length][1];
let tUndefined = true;
let tMin = 0;
let tMax = 0;
let maxWidth = 0;
for (let j = 0; j < p.length; j++) {
let cX = p[j][0];
let cY = p[j][1];
let t = (cX - aX) / (bX - aX);
if (tUndefined === true) {
tUndefined = false;
tMin = t;
tMax = t;
} else {
if (t < tMin) tMin = t;
if (t > tMax) tMax = t;
}
let width = (-(bX - aX) * cY + bX * aY - bY * aX) / (bX - aX);
if (Math.abs(width) > Math.abs(maxWidth)) maxWidth = width;
}
let pMin = [aX + tMin * (bX - aX), aY];
let pMax = [aX + tMax * (bX - aX), aY];
let currentSurface = Math.abs(maxWidth * (tMin - tMax) * (bX - aX));
if (currentSurface < minSurface) {
minSurfaceAngle = angle;
minSurface = currentSurface;
mbr = [pMin, pMax, [pMax[0], pMax[1] - maxWidth], [pMin[0], pMin[1] - maxWidth]];
}
}
rotate(minSurfaceAngle, mbr, mbr);
return mbr;
} // the angle that allows to make the line going through p1 and p2 horizontal
// this is an optimized version because it assume one vector is horizontal
function getAngle$1(p1, p2) {
let diff = difference(p2, p1);
let vector = normalize(diff);
let angle = Math.acos(vector[0]);
if (vector[1] < 0) return -angle;
return angle;
}
/* eslint-disable import/order */
function extend$1(Image) {
let inPlace = {
inPlace: true
};
Image.extendMethod('invert', invert);
Image.extendMethod('abs', abs);
Image.extendMethod('level', level, inPlace);
Image.extendMethod('add', add, inPlace);
Image.extendMethod('subtract', subtract, inPlace);
Image.extendMethod('subtractImage', subtractImage);
Image.extendMethod('multiply', multiply, inPlace);
Image.extendMethod('divide', divide, inPlace);
Image.extendMethod('hypotenuse', hypotenuse);
Image.extendMethod('background', background$2);
Image.extendMethod('flipX', flipX);
Image.extendMethod('flipY', flipY);
Image.extendMethod('blurFilter', blurFilter);
Image.extendMethod('medianFilter', medianFilter);
Image.extendMethod('gaussianFilter', gaussianFilter);
Image.extendMethod('sobelFilter', sobelFilter);
Image.extendMethod('gradientFilter', gradientFilter);
Image.extendMethod('scharrFilter', scharrFilter);
Image.extendMethod('dilate', dilate);
Image.extendMethod('erode', erode);
Image.extendMethod('open', open);
Image.extendMethod('close', close);
Image.extendMethod('topHat', topHat);
Image.extendMethod('blackHat', blackHat);
Image.extendMethod('morphologicalGradient', morphologicalGradient);
Image.extendMethod('warpingFourPoints', warpingFourPoints);
Image.extendMethod('crop', crop);
Image.extendMethod('cropAlpha', cropAlpha);
Image.extendMethod('resize', resize).extendMethod('scale', resize);
Image.extendMethod('hsv', hsv);
Image.extendMethod('hsl', hsl$1);
Image.extendMethod('cmyk', cmyk);
Image.extendMethod('rgba8', rgba8);
Image.extendMethod('grey', grey).extendMethod('gray', grey);
Image.extendMethod('mask', mask);
Image.extendMethod('pad', pad);
Image.extendMethod('colorDepth', colorDepth);
Image.extendMethod('setBorder', setBorder, inPlace);
Image.extendMethod('rotate', rotate$1);
Image.extendMethod('rotateLeft', rotateLeft);
Image.extendMethod('rotateRight', rotateRight);
Image.extendMethod('insert', insert);
Image.extendMethod('getRow', getRow);
Image.extendMethod('getColumn', getColumn);
Image.extendMethod('getMatrix', getMatrix);
Image.extendMethod('setMatrix', setMatrix);
Image.extendMethod('getPixelsArray', getPixelsArray);
Image.extendMethod('getIntersection', getIntersection);
Image.extendMethod('getClosestCommonParent', getClosestCommonParent);
Image.extendMethod('getThreshold', getThreshold);
Image.extendMethod('split', split);
Image.extendMethod('getChannel', getChannel);
Image.extendMethod('combineChannels', combineChannels);
Image.extendMethod('setChannel', setChannel);
Image.extendMethod('getSimilarity', getSimilarity);
Image.extendMethod('getPixelsGrid', getPixelsGrid);
Image.extendMethod('getBestMatch', getBestMatch);
Image.extendMethod('cannyEdge', cannyEdge);
Image.extendMethod('convolution', convolution);
Image.extendMethod('extract', extract);
Image.extendMethod('floodFill', floodFill);
Image.extendMethod('paintLabels', paintLabels, inPlace);
Image.extendMethod('paintMasks', paintMasks, inPlace);
Image.extendMethod('paintPoints', paintPoints, inPlace);
Image.extendMethod('paintPolyline', paintPolyline, inPlace);
Image.extendMethod('paintPolylines', paintPolylines, inPlace);
Image.extendMethod('paintPolygon', paintPolygon, inPlace);
Image.extendMethod('paintPolygons', paintPolygons, inPlace);
Image.extendMethod('countAlphaPixels', countAlphaPixels);
Image.extendMethod('monotoneChainConvexHull', monotoneChainConvexHull);
Image.extendMethod('minimalBoundingRectangle', minimalBoundingRectangle);
Image.extendMethod('getHistogram', getHistogram).extendProperty('histogram', getHistogram);
Image.extendMethod('getHistograms', getHistograms).extendProperty('histograms', getHistograms);
Image.extendMethod('getColorHistogram', getColorHistogram).extendProperty('colorHistogram', getColorHistogram);
Image.extendMethod('getMin', min).extendProperty('min', min);
Image.extendMethod('getMax', max).extendProperty('max', max);
Image.extendMethod('getSum', sum).extendProperty('sum', sum);
Image.extendMethod('getMoment', getMoment).extendProperty('moment', getMoment);
Image.extendMethod('getLocalMaxima', localMaxima);
Image.extendMethod('getMedian', median).extendProperty('median', median);
Image.extendMethod('getMean', mean).extendProperty('mean', mean);
Image.extendMethod('getPoints', points).extendProperty('points', points);
Image.extendMethod('getExtendedPoints', extendedPoints).extendProperty('extendedPoints', extendedPoints);
Image.extendMethod('getRelativePosition', getRelativePosition);
}
var quantities = {exports: {}};
/*
The MIT License (MIT)
Copyright © 2006-2007 Kevin C. Olbrich
Copyright © 2010-2016 LIM SAS (http://lim.eu) - Julien Sanchez
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.
*/
(function (module, exports) {
(function (global, factory) {
module.exports = factory() ;
})(commonjsGlobal, function () {
/**
* Tests if a value is a string
*
* @param {*} value - Value to test
*
* @returns {boolean} true if value is a string, false otherwise
*/
function isString(value) {
return typeof value === "string" || value instanceof String;
}
/*
* Prefer stricter Number.isFinite if currently supported.
* To be dropped when ES6 is finalized. Obsolete browsers will
* have to use ES6 polyfills.
*/
var isFiniteImpl = Number.isFinite || window.isFinite;
/**
* Tests if a value is a number
*
* @param {*} value - Value to test
*
* @returns {boolean} true if value is a number, false otherwise
*/
function isNumber(value) {
// Number.isFinite allows not to consider NaN or '1' as numbers
return isFiniteImpl(value);
}
/*
* Identity function
*/
function identity(value) {
return value;
}
/**
* Returns unique strings from list
*
* @param {string[]} strings - array of strings
*
*
* @returns {string[]} a new array of strings without duplicates
*/
function uniq(strings) {
var seen = {};
return strings.filter(function (item) {
return seen.hasOwnProperty(item) ? false : seen[item] = true;
});
}
function compareArray(array1, array2) {
if (array2.length !== array1.length) {
return false;
}
for (var i = 0; i < array1.length; i++) {
if (array2[i].compareArray) {
if (!array2[i].compareArray(array1[i])) {
return false;
}
}
if (array2[i] !== array1[i]) {
return false;
}
}
return true;
}
function assign(target, properties) {
Object.keys(properties).forEach(function (key) {
target[key] = properties[key];
});
}
/**
* Safely multiplies numbers while avoiding floating errors
* like 0.1 * 0.1 => 0.010000000000000002
*
* @param {...number} numbers - numbers to multiply
*
* @returns {number} result
*/
function mulSafe() {
var result = 1,
decimals = 0;
for (var i = 0; i < arguments.length; i++) {
var arg = arguments[i];
decimals = decimals + getFractional(arg);
result *= arg;
}
return decimals !== 0 ? round(result, decimals) : result;
}
/**
* Safely divides two numbers while avoiding floating errors
* like 0.3 / 0.05 => 5.999999999999999
*
* @returns {number} result
* @param {number} num Numerator
* @param {number} den Denominator
*/
function divSafe(num, den) {
if (den === 0) {
throw new Error("Divide by zero");
}
var factor = Math.pow(10, getFractional(den));
var invDen = factor / (factor * den);
return mulSafe(num, invDen);
}
/**
* Rounds value at the specified number of decimals
*
* @param {number} val - value to round
* @param {number} decimals - number of decimals
*
* @returns {number} rounded number
*/
function round(val, decimals) {
return Math.round(val * Math.pow(10, decimals)) / Math.pow(10, decimals);
}
function getFractional(num) {
// Check for NaNs or Infinities
if (!isFinite(num)) {
return 0;
} // Faster than parsing strings
// http://jsperf.com/count-decimals/2
var count = 0;
while (num % 1 !== 0) {
num *= 10;
count++;
}
return count;
}
/**
* Custom error type definition
* @constructor
*/
function QtyError() {
var err;
if (!this) {
// Allows to instantiate QtyError without new()
err = Object.create(QtyError.prototype);
QtyError.apply(err, arguments);
return err;
}
err = Error.apply(this, arguments);
this.name = "QtyError";
this.message = err.message;
this.stack = err.stack;
}
QtyError.prototype = Object.create(Error.prototype, {
constructor: {
value: QtyError
}
});
/*
* Throws incompatible units error
* @param {string} left - units
* @param {string} right - units incompatible with first argument
* @throws "Incompatible units" error
*/
function throwIncompatibleUnits(left, right) {
throw new QtyError("Incompatible units: " + left + " and " + right);
}
var UNITS = {
/* prefixes */
"": [["googol"], 1e100, "prefix"],
"": [["Ki", "Kibi", "kibi"], Math.pow(2, 10), "prefix"],
"": [["Mi", "Mebi", "mebi"], Math.pow(2, 20), "prefix"],
"": [["Gi", "Gibi", "gibi"], Math.pow(2, 30), "prefix"],
"": [["Ti", "Tebi", "tebi"], Math.pow(2, 40), "prefix"],
"": [["Pi", "Pebi", "pebi"], Math.pow(2, 50), "prefix"],
"": [["Ei", "Exi", "exi"], Math.pow(2, 60), "prefix"],
"": [["Zi", "Zebi", "zebi"], Math.pow(2, 70), "prefix"],
"": [["Yi", "Yebi", "yebi"], Math.pow(2, 80), "prefix"],
"": [["Y", "Yotta", "yotta"], 1e24, "prefix"],
"": [["Z", "Zetta", "zetta"], 1e21, "prefix"],
"": [["E", "Exa", "exa"], 1e18, "prefix"],
"": [["P", "Peta", "peta"], 1e15, "prefix"],
"": [["T", "Tera", "tera"], 1e12, "prefix"],
"": [["G", "Giga", "giga"], 1e9, "prefix"],
"": [["M", "Mega", "mega"], 1e6, "prefix"],
"": [["k", "kilo"], 1e3, "prefix"],
"": [["h", "Hecto", "hecto"], 1e2, "prefix"],
"": [["da", "Deca", "deca", "deka"], 1e1, "prefix"],
"": [["d", "Deci", "deci"], 1e-1, "prefix"],
"": [["c", "Centi", "centi"], 1e-2, "prefix"],
"": [["m", "Milli", "milli"], 1e-3, "prefix"],
"": [["u", "\u03BC"
/*µ as greek letter*/
, "\u00B5"
/*µ as micro sign*/
, "Micro", "mc", "micro"], 1e-6, "prefix"],
"": [["n", "Nano", "nano"], 1e-9, "prefix"],
"": [["p", "Pico", "pico"], 1e-12, "prefix"],
"": [["f", "Femto", "femto"], 1e-15, "prefix"],
"": [["a", "Atto", "atto"], 1e-18, "prefix"],
"": [["z", "Zepto", "zepto"], 1e-21, "prefix"],
"": [["y", "Yocto", "yocto"], 1e-24, "prefix"],
"<1>": [["1", "<1>"], 1, ""],
/* length units */
"": [["m", "meter", "meters", "metre", "metres"], 1.0, "length", [""]],
"": [["in", "inch", "inches", "\""], 0.0254, "length", [""]],
"": [["ft", "foot", "feet", "'"], 0.3048, "length", [""]],
"": [["yd", "yard", "yards"], 0.9144, "length", [""]],
"": [["mi", "mile", "miles"], 1609.344, "length", [""]],
"": [["nmi", "naut-mile"], 1852, "length", [""]],
"": [["league", "leagues"], 4828, "length", [""]],
"": [["furlong", "furlongs"], 201.2, "length", [""]],
"": [["rd", "rod", "rods"], 5.029, "length", [""]],
"": [["mil", "mils"], 0.0000254, "length", [""]],
"": [["ang", "angstrom", "angstroms"], 1e-10, "length", [""]],
"": [["fathom", "fathoms"], 1.829, "length", [""]],
"": [["pica", "picas"], 0.00423333333, "length", [""]],
"": [["pt", "point", "points"], 0.000352777778, "length", [""]],
"": [["z", "red-shift", "redshift"], 1.302773e26, "length", [""]],
"": [["AU", "astronomical-unit"], 149597900000, "length", [""]],
"": [["ls", "light-second"], 299792500, "length", [""]],
"": [["lmin", "light-minute"], 17987550000, "length", [""]],
"": [["ly", "light-year"], 9460528000000000, "length", [""]],
"": [["pc", "parsec", "parsecs"], 30856780000000000, "length", [""]],
"": [["DM", "datamile"], 1828.8, "length", [""]],
/* mass */
"": [["kg", "kilogram", "kilograms"], 1.0, "mass", [""]],
"": [["u", "AMU", "amu"], 1.660538921e-27, "mass", [""]],
"": [["Da", "Dalton", "Daltons", "dalton", "daltons"], 1.660538921e-27, "mass", [""]],
"": [["slug", "slugs"], 14.5939029, "mass", [""]],
"": [["tn", "ton", "short-ton"], 907.18474, "mass", [""]],
"": [["tonne", "metric-ton"], 1000, "mass", [""]],
"": [["ct", "carat", "carats"], 0.0002, "mass", [""]],
"": [["lbs", "lb", "pound", "pounds", "#"], 0.45359237, "mass", [""]],
"": [["oz", "ounce", "ounces"], 0.0283495231, "mass", [""]],
"": [["g", "gram", "grams", "gramme", "grammes"], 1e-3, "mass", [""]],
"": [["grain", "grains", "gr"], 6.479891e-5, "mass", [""]],
"": [["dram", "drams", "dr"], 0.0017718452, "mass", [""]],
"": [["stone", "stones", "st"], 6.35029318, "mass", [""]],
/* area */
"": [["hectare"], 10000, "area", ["", ""]],
"": [["acre", "acres"], 4046.85642, "area", ["", ""]],
"": [["sqft"], 1, "area", ["", ""]],
/* volume */
"": [["l", "L", "liter", "liters", "litre", "litres"], 0.001, "volume", ["", "", ""]],
"": [["gal", "gallon", "gallons"], 0.0037854118, "volume", ["", "", ""]],
"": [["galimp", "gallon-imp", "gallons-imp"], 0.0045460900, "volume", ["", "", ""]],
"": [["qt", "quart", "quarts"], 0.00094635295, "volume", ["", "", ""]],
"": [["pt", "pint", "pints"], 0.000473176475, "volume", ["", "", ""]],
"": [["ptimp", "pint-imp", "pints-imp"], 5.6826125e-4, "volume", ["", "", ""]],
"": [["cu", "cup", "cups"], 0.000236588238, "volume", ["", "", ""]],
"": [["floz", "fluid-ounce", "fluid-ounces"], 2.95735297e-5, "volume", ["", "", ""]],
"": [["flozimp", "floz-imp", "fluid-ounce-imp", "fluid-ounces-imp"], 2.84130625e-5, "volume", ["", "", ""]],
"": [["tb", "tbsp", "tbs", "tablespoon", "tablespoons"], 1.47867648e-5, "volume", ["", "", ""]],
"": [["tsp", "teaspoon", "teaspoons"], 4.92892161e-6, "volume", ["", "", ""]],
"": [["bu", "bsh", "bushel", "bushels"], 0.035239072, "volume", ["", "", ""]],
"": [["bbl", "oilbarrel", "oilbarrels", "oil-barrel", "oil-barrels"], 0.158987294928, "volume", ["", "", ""]],
"": [["bl", "bl-us", "beerbarrel", "beerbarrels", "beer-barrel", "beer-barrels"], 0.1173477658, "volume", ["", "", ""]],
"": [["blimp", "bl-imp", "beerbarrel-imp", "beerbarrels-imp", "beer-barrel-imp", "beer-barrels-imp"], 0.16365924, "volume", ["", "", ""]],
/* speed */
"": [["kph"], 0.277777778, "speed", ["