forked from antux18/ChasseTresorPange
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186 KiB
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186 KiB
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{"version":3,"file":"qr-scanner-worker.min.js","sources":["node_modules/jsqr-es6/src/BitMatrix.ts","node_modules/jsqr-es6/src/binarizer/index.ts","node_modules/jsqr-es6/src/decoder/decodeData/BitStream.ts","node_modules/jsqr-es6/src/decoder/decodeData/index.ts","node_modules/jsqr-es6/src/decoder/reedsolomon/GenericGFPoly.ts","node_modules/jsqr-es6/src/decoder/reedsolomon/GenericGF.ts","node_modules/jsqr-es6/src/decoder/reedsolomon/index.ts","node_modules/jsqr-es6/src/decoder/version.ts","node_modules/jsqr-es6/src/decoder/decoder.ts","node_modules/jsqr-es6/src/extractor/index.ts","node_modules/jsqr-es6/src/locator/index.ts","node_modules/jsqr-es6/src/index.ts","src/worker.ts"],"sourcesContent":["export class BitMatrix {\n public static createEmpty(width: number, height: number) {\n return new BitMatrix(new Uint8ClampedArray(width * height), width);\n }\n\n public width: number;\n public height: number;\n private data: Uint8ClampedArray;\n\n constructor(data: Uint8ClampedArray, width: number) {\n this.width = width;\n this.height = data.length / width;\n this.data = data;\n }\n\n public get(x: number, y: number): boolean {\n if (x < 0 || x >= this.width || y < 0 || y >= this.height) {\n return false;\n }\n return !!this.data[y * this.width + x];\n }\n\n public set(x: number, y: number, v: boolean) {\n this.data[y * this.width + x] = v ? 1 : 0;\n }\n\n public setRegion(left: number, top: number, width: number, height: number, v: boolean) {\n for (let y = top; y < top + height; y++) {\n for (let x = left; x < left + width; x++) {\n this.set(x, y, !!v);\n }\n }\n }\n}\n","import {BitMatrix} from \"../BitMatrix\";\nimport {GreyscaleWeights} from \"../index\";\n\nconst REGION_SIZE = 8;\nconst MIN_DYNAMIC_RANGE = 24;\n\nfunction numBetween(value: number, min: number, max: number): number {\n return value < min ? min : value > max ? max : value;\n}\n\n// Like BitMatrix but accepts arbitry Uint8 values\nclass Matrix {\n private data: Uint8ClampedArray;\n private width: number;\n constructor(width: number, height: number, buffer?: Uint8ClampedArray) {\n this.width = width;\n const bufferSize = width * height;\n if (buffer && buffer.length !== bufferSize) {\n throw new Error(\"Wrong buffer size\");\n }\n this.data = buffer || new Uint8ClampedArray(bufferSize);\n }\n public get(x: number, y: number) {\n return this.data[y * this.width + x];\n }\n public set(x: number, y: number, value: number) {\n this.data[y * this.width + x] = value;\n }\n}\n\nexport function binarize(data: Uint8ClampedArray, width: number, height: number, returnInverted: boolean,\n greyscaleWeights: GreyscaleWeights, canOverwriteImage: boolean) {\n const pixelCount = width * height;\n if (data.length !== pixelCount * 4) {\n throw new Error(\"Malformed data passed to binarizer.\");\n }\n // assign the greyscale and binary image within the rgba buffer as the rgba image will not be needed after conversion\n let bufferOffset = 0;\n // Convert image to greyscale\n let greyscaleBuffer: Uint8ClampedArray;\n if (canOverwriteImage) {\n greyscaleBuffer = new Uint8ClampedArray(data.buffer, bufferOffset, pixelCount);\n bufferOffset += pixelCount;\n }\n const greyscalePixels = new Matrix(width, height, greyscaleBuffer);\n if (greyscaleWeights.useIntegerApproximation) {\n for (let y = 0; y < height; y++) {\n for (let x = 0; x < width; x++) {\n const pixelPosition = (y * width + x) * 4;\n const r = data[pixelPosition];\n const g = data[pixelPosition + 1];\n const b = data[pixelPosition + 2];\n greyscalePixels.set(x, y,\n // tslint:disable-next-line no-bitwise\n (greyscaleWeights.red * r + greyscaleWeights.green * g + greyscaleWeights.blue * b + 128) >> 8);\n }\n }\n } else {\n for (let y = 0; y < height; y++) {\n for (let x = 0; x < width; x++) {\n const pixelPosition = (y * width + x) * 4;\n const r = data[pixelPosition];\n const g = data[pixelPosition + 1];\n const b = data[pixelPosition + 2];\n greyscalePixels.set(x, y,\n greyscaleWeights.red * r + greyscaleWeights.green * g + greyscaleWeights.blue * b);\n }\n }\n }\n const horizontalRegionCount = Math.ceil(width / REGION_SIZE);\n const verticalRegionCount = Math.ceil(height / REGION_SIZE);\n const blackPointsCount = horizontalRegionCount * verticalRegionCount;\n\n let blackPointsBuffer: Uint8ClampedArray;\n if (canOverwriteImage) {\n blackPointsBuffer = new Uint8ClampedArray(data.buffer, bufferOffset, blackPointsCount);\n bufferOffset += blackPointsCount;\n }\n const blackPoints = new Matrix(horizontalRegionCount, verticalRegionCount, blackPointsBuffer);\n for (let verticalRegion = 0; verticalRegion < verticalRegionCount; verticalRegion++) {\n for (let hortizontalRegion = 0; hortizontalRegion < horizontalRegionCount; hortizontalRegion++) {\n let min = Infinity;\n let max = 0;\n for (let y = 0; y < REGION_SIZE; y++) {\n for (let x = 0; x < REGION_SIZE; x++) {\n const pixelLumosity =\n greyscalePixels.get(hortizontalRegion * REGION_SIZE + x, verticalRegion * REGION_SIZE + y);\n min = Math.min(min, pixelLumosity);\n max = Math.max(max, pixelLumosity);\n }\n }\n // We could also compute the real average of all pixels but following the assumption that the qr code consists\n // of bright and dark pixels and essentially not much in between, by (min + max)/2 we make the cut really between\n // those two classes. If using the average over all pixel in a block of mostly bright pixels and few dark pixels,\n // the avg would tend to the bright side and darker bright pixels could be interpreted as dark.\n let average = (min + max) / 2;\n // Small bias towards black by moving the threshold up. We do this, as in the finder patterns white holes tend\n // to appear which makes them undetectable.\n const blackBias = 1.11;\n average = Math.min(255, average * blackBias);\n if (max - min <= MIN_DYNAMIC_RANGE) {\n // If variation within the block is low, assume this is a block with only light or only\n // dark pixels. In that case we do not want to use the average, as it would divide this\n // low contrast area into black and white pixels, essentially creating data out of noise.\n //\n // Default the blackpoint for these blocks to be half the min - effectively white them out\n average = min / 2;\n\n if (verticalRegion > 0 && hortizontalRegion > 0) {\n // Correct the \"white background\" assumption for blocks that have neighbors by comparing\n // the pixels in this block to the previously calculated black points. This is based on\n // the fact that dark barcode symbology is always surrounded by some amount of light\n // background for which reasonable black point estimates were made. The bp estimated at\n // the boundaries is used for the interior.\n\n // The (min < bp) is arbitrary but works better than other heuristics that were tried.\n const averageNeighborBlackPoint = (\n blackPoints.get(hortizontalRegion, verticalRegion - 1) +\n (2 * blackPoints.get(hortizontalRegion - 1, verticalRegion)) +\n blackPoints.get(hortizontalRegion - 1, verticalRegion - 1)\n ) / 4;\n if (min < averageNeighborBlackPoint) {\n average = averageNeighborBlackPoint; // no need to apply black bias as already applied to neighbors\n }\n }\n }\n blackPoints.set(hortizontalRegion, verticalRegion, average);\n }\n }\n\n let binarized: BitMatrix;\n if (canOverwriteImage) {\n const binarizedBuffer = new Uint8ClampedArray(data.buffer, bufferOffset, pixelCount);\n bufferOffset += pixelCount;\n binarized = new BitMatrix(binarizedBuffer, width);\n } else {\n binarized = BitMatrix.createEmpty(width, height);\n }\n\n let inverted: BitMatrix = null;\n if (returnInverted) {\n if (canOverwriteImage) {\n const invertedBuffer = new Uint8ClampedArray(data.buffer, bufferOffset, pixelCount);\n inverted = new BitMatrix(invertedBuffer, width);\n } else {\n inverted = BitMatrix.createEmpty(width, height);\n }\n }\n\n for (let verticalRegion = 0; verticalRegion < verticalRegionCount; verticalRegion++) {\n for (let hortizontalRegion = 0; hortizontalRegion < horizontalRegionCount; hortizontalRegion++) {\n const left = numBetween(hortizontalRegion, 2, horizontalRegionCount - 3);\n const top = numBetween(verticalRegion, 2, verticalRegionCount - 3);\n let sum = 0;\n for (let xRegion = -2; xRegion <= 2; xRegion++) {\n for (let yRegion = -2; yRegion <= 2; yRegion++) {\n sum += blackPoints.get(left + xRegion, top + yRegion);\n }\n }\n const threshold = sum / 25;\n for (let xRegion = 0; xRegion < REGION_SIZE; xRegion++) {\n for (let yRegion = 0; yRegion < REGION_SIZE; yRegion++) {\n const x = hortizontalRegion * REGION_SIZE + xRegion;\n const y = verticalRegion * REGION_SIZE + yRegion;\n const lum = greyscalePixels.get(x, y);\n binarized.set(x, y, lum <= threshold);\n if (returnInverted) {\n inverted.set(x, y, !(lum <= threshold));\n }\n }\n }\n }\n }\n if (returnInverted) {\n return { binarized, inverted };\n }\n return { binarized };\n}\n","// tslint:disable:no-bitwise\n\nexport class BitStream {\n private bytes: Uint8ClampedArray;\n private byteOffset: number = 0;\n private bitOffset: number = 0;\n\n constructor(bytes: Uint8ClampedArray) {\n this.bytes = bytes;\n }\n\n public readBits(numBits: number): number {\n if (numBits < 1 || numBits > 32 || numBits > this.available()) {\n throw new Error(\"Cannot read \" + numBits.toString() + \" bits\");\n }\n\n let result = 0;\n // First, read remainder from current byte\n if (this.bitOffset > 0) {\n const bitsLeft = 8 - this.bitOffset;\n const toRead = numBits < bitsLeft ? numBits : bitsLeft;\n const bitsToNotRead = bitsLeft - toRead;\n const mask = (0xFF >> (8 - toRead)) << bitsToNotRead;\n result = (this.bytes[this.byteOffset] & mask) >> bitsToNotRead;\n numBits -= toRead;\n this.bitOffset += toRead;\n if (this.bitOffset === 8) {\n this.bitOffset = 0;\n this.byteOffset++;\n }\n }\n\n // Next read whole bytes\n if (numBits > 0) {\n while (numBits >= 8) {\n result = (result << 8) | (this.bytes[this.byteOffset] & 0xFF);\n this.byteOffset++;\n numBits -= 8;\n }\n\n // Finally read a partial byte\n if (numBits > 0) {\n const bitsToNotRead = 8 - numBits;\n const mask = (0xFF >> bitsToNotRead) << bitsToNotRead;\n result = (result << numBits) | ((this.bytes[this.byteOffset] & mask) >> bitsToNotRead);\n this.bitOffset += numBits;\n }\n }\n return result;\n }\n\n public available(): number {\n return 8 * (this.bytes.length - this.byteOffset) - this.bitOffset;\n }\n}\n","// tslint:disable:no-bitwise\nimport { BitStream } from \"./BitStream\";\n\nexport interface Chunk {\n type: Mode;\n text: string;\n}\n\nexport interface ByteChunk {\n type: Mode.Byte | Mode.Kanji;\n bytes: number[];\n}\n\nexport interface ECIChunk {\n type: Mode.ECI;\n assignmentNumber: number;\n}\n\nexport interface StructuredAppend {\n type: Mode.StructuredAppend;\n currentSequence: number;\n totalSequence: number;\n parity: number;\n}\n\nexport type Chunks = Array<Chunk | ByteChunk | ECIChunk | StructuredAppend>;\n\nexport interface DecodedQR {\n text: string;\n bytes: number[];\n chunks: Chunks;\n version: number;\n}\n\nexport enum Mode {\n Numeric = \"numeric\",\n Alphanumeric = \"alphanumeric\",\n Byte = \"byte\",\n Kanji = \"kanji\",\n ECI = \"eci\",\n StructuredAppend = \"structuredappend\",\n}\n\nenum ModeByte {\n Terminator = 0x0,\n Numeric = 0x1,\n Alphanumeric = 0x2,\n Byte = 0x4,\n Kanji = 0x8,\n ECI = 0x7,\n StructuredAppend = 0x3,\n // FNC1FirstPosition = 0x5,\n // FNC1SecondPosition = 0x9,\n}\n\nfunction decodeNumeric(stream: BitStream, size: number) {\n const bytes: number[] = [];\n let text = \"\";\n\n const characterCountSize = [10, 12, 14][size];\n let length = stream.readBits(characterCountSize);\n // Read digits in groups of 3\n while (length >= 3) {\n const num = stream.readBits(10);\n if (num >= 1000) {\n throw new Error(\"Invalid numeric value above 999\");\n }\n\n const a = Math.floor(num / 100);\n const b = Math.floor(num / 10) % 10;\n const c = num % 10;\n\n bytes.push(48 + a, 48 + b, 48 + c);\n text += a.toString() + b.toString() + c.toString();\n length -= 3;\n }\n\n // If the number of digits aren't a multiple of 3, the remaining digits are special cased.\n if (length === 2) {\n const num = stream.readBits(7);\n if (num >= 100) {\n throw new Error(\"Invalid numeric value above 99\");\n }\n\n const a = Math.floor(num / 10);\n const b = num % 10;\n\n bytes.push(48 + a, 48 + b);\n text += a.toString() + b.toString();\n } else if (length === 1) {\n const num = stream.readBits(4);\n if (num >= 10) {\n throw new Error(\"Invalid numeric value above 9\");\n }\n\n bytes.push(48 + num);\n text += num.toString();\n }\n\n return { bytes, text };\n}\n\nconst AlphanumericCharacterCodes = [\n \"0\", \"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\",\n \"9\", \"A\", \"B\", \"C\", \"D\", \"E\", \"F\", \"G\", \"H\",\n \"I\", \"J\", \"K\", \"L\", \"M\", \"N\", \"O\", \"P\", \"Q\",\n \"R\", \"S\", \"T\", \"U\", \"V\", \"W\", \"X\", \"Y\", \"Z\",\n \" \", \"$\", \"%\", \"*\", \"+\", \"-\", \".\", \"/\", \":\",\n];\n\nfunction decodeAlphanumeric(stream: BitStream, size: number) {\n const bytes: number[] = [];\n let text = \"\";\n\n const characterCountSize = [9, 11, 13][size];\n let length = stream.readBits(characterCountSize);\n while (length >= 2) {\n const v = stream.readBits(11);\n\n const a = Math.floor(v / 45);\n const b = v % 45;\n\n bytes.push(AlphanumericCharacterCodes[a].charCodeAt(0), AlphanumericCharacterCodes[b].charCodeAt(0));\n text += AlphanumericCharacterCodes[a] + AlphanumericCharacterCodes[b];\n length -= 2;\n }\n\n if (length === 1) {\n const a = stream.readBits(6);\n bytes.push(AlphanumericCharacterCodes[a].charCodeAt(0));\n text += AlphanumericCharacterCodes[a];\n }\n\n return { bytes, text };\n}\n\nfunction decodeByte(stream: BitStream, size: number) {\n const bytes: number[] = [];\n let text = \"\";\n\n const characterCountSize = [8, 16, 16][size];\n const length = stream.readBits(characterCountSize);\n for (let i = 0; i < length; i++) {\n const b = stream.readBits(8);\n bytes.push(b);\n }\n try {\n text += decodeURIComponent(bytes.map(b => `%${(\"0\" + b.toString(16)).substr(-2)}`).join(\"\"));\n } catch {\n // failed to decode\n }\n\n return { bytes, text };\n}\n\nfunction decodeKanji(stream: BitStream, size: number) {\n const bytes: number[] = [];\n\n const characterCountSize = [8, 10, 12][size];\n const length = stream.readBits(characterCountSize);\n for (let i = 0; i < length; i++) {\n const k = stream.readBits(13);\n\n let c = (Math.floor(k / 0xC0) << 8) | (k % 0xC0);\n if (c < 0x1F00) {\n c += 0x8140;\n } else {\n c += 0xC140;\n }\n\n bytes.push(c >> 8, c & 0xFF);\n }\n\n const text = new TextDecoder(\"shift-jis\").decode(Uint8Array.from(bytes));\n return { bytes, text };\n}\n\nexport function decode(data: Uint8ClampedArray, version: number): DecodedQR {\n const stream = new BitStream(data);\n\n // There are 3 'sizes' based on the version. 1-9 is small (0), 10-26 is medium (1) and 27-40 is large (2).\n const size = version <= 9 ? 0 : version <= 26 ? 1 : 2;\n\n const result: DecodedQR = {\n text: \"\",\n bytes: [],\n chunks: [],\n version,\n };\n\n while (stream.available() >= 4) {\n const mode = stream.readBits(4);\n if (mode === ModeByte.Terminator) {\n return result;\n } else if (mode === ModeByte.ECI) {\n if (stream.readBits(1) === 0) {\n result.chunks.push({\n type: Mode.ECI,\n assignmentNumber: stream.readBits(7),\n });\n } else if (stream.readBits(1) === 0) {\n result.chunks.push({\n type: Mode.ECI,\n assignmentNumber: stream.readBits(14),\n });\n } else if (stream.readBits(1) === 0) {\n result.chunks.push({\n type: Mode.ECI,\n assignmentNumber: stream.readBits(21),\n });\n } else {\n // ECI data seems corrupted\n result.chunks.push({\n type: Mode.ECI,\n assignmentNumber: -1,\n });\n }\n } else if (mode === ModeByte.Numeric) {\n const numericResult = decodeNumeric(stream, size);\n result.text += numericResult.text;\n result.bytes.push(...numericResult.bytes);\n result.chunks.push({\n type: Mode.Numeric,\n text: numericResult.text,\n });\n } else if (mode === ModeByte.Alphanumeric) {\n const alphanumericResult = decodeAlphanumeric(stream, size);\n result.text += alphanumericResult.text;\n result.bytes.push(...alphanumericResult.bytes);\n result.chunks.push({\n type: Mode.Alphanumeric,\n text: alphanumericResult.text,\n });\n } else if (mode === ModeByte.Byte) {\n const byteResult = decodeByte(stream, size);\n result.text += byteResult.text;\n result.bytes.push(...byteResult.bytes);\n result.chunks.push({\n type: Mode.Byte,\n bytes: byteResult.bytes,\n text: byteResult.text,\n });\n } else if (mode === ModeByte.Kanji) {\n const kanjiResult = decodeKanji(stream, size);\n result.text += kanjiResult.text;\n result.bytes.push(...kanjiResult.bytes);\n result.chunks.push({\n type: Mode.Kanji,\n bytes: kanjiResult.bytes,\n text: kanjiResult.text,\n });\n } else if (mode === ModeByte.StructuredAppend) {\n result.chunks.push({\n type: Mode.StructuredAppend,\n currentSequence: stream.readBits(4),\n totalSequence: stream.readBits(4),\n parity: stream.readBits(8),\n });\n }\n }\n\n // If there is no data left, or the remaining bits are all 0, then that counts as a termination marker\n if (stream.available() === 0 || stream.readBits(stream.available()) === 0) {\n return result;\n }\n}\n","import GenericGF, { addOrSubtractGF } from \"./GenericGF\";\n\nexport default class GenericGFPoly {\n private field: GenericGF;\n private coefficients: Uint8ClampedArray;\n\n constructor(field: GenericGF, coefficients: Uint8ClampedArray) {\n if (coefficients.length === 0) {\n throw new Error(\"No coefficients.\");\n }\n this.field = field;\n const coefficientsLength = coefficients.length;\n if (coefficientsLength > 1 && coefficients[0] === 0) {\n // Leading term must be non-zero for anything except the constant polynomial \"0\"\n let firstNonZero = 1;\n while (firstNonZero < coefficientsLength && coefficients[firstNonZero] === 0) {\n firstNonZero++;\n }\n if (firstNonZero === coefficientsLength) {\n this.coefficients = field.zero.coefficients;\n } else {\n this.coefficients = new Uint8ClampedArray(coefficientsLength - firstNonZero);\n for (let i = 0; i < this.coefficients.length; i++) {\n this.coefficients[i] = coefficients[firstNonZero + i];\n }\n }\n } else {\n this.coefficients = coefficients;\n }\n }\n\n public degree() {\n return this.coefficients.length - 1;\n }\n\n public isZero() {\n return this.coefficients[0] === 0;\n }\n\n public getCoefficient(degree: number) {\n return this.coefficients[this.coefficients.length - 1 - degree];\n }\n\n public addOrSubtract(other: GenericGFPoly) {\n if (this.isZero()) {\n return other;\n }\n if (other.isZero()) {\n return this;\n }\n\n let smallerCoefficients = this.coefficients;\n let largerCoefficients = other.coefficients;\n if (smallerCoefficients.length > largerCoefficients.length) {\n [smallerCoefficients, largerCoefficients] = [largerCoefficients, smallerCoefficients];\n }\n const sumDiff = new Uint8ClampedArray(largerCoefficients.length);\n const lengthDiff = largerCoefficients.length - smallerCoefficients.length;\n for (let i = 0; i < lengthDiff; i++) {\n sumDiff[i] = largerCoefficients[i];\n }\n\n for (let i = lengthDiff; i < largerCoefficients.length; i++) {\n sumDiff[i] = addOrSubtractGF(smallerCoefficients[i - lengthDiff], largerCoefficients[i]);\n }\n\n return new GenericGFPoly(this.field, sumDiff);\n }\n\n public multiply(scalar: number) {\n if (scalar === 0) {\n return this.field.zero;\n }\n if (scalar === 1) {\n return this;\n }\n const size = this.coefficients.length;\n const product = new Uint8ClampedArray(size);\n for (let i = 0; i < size; i++) {\n product[i] = this.field.multiply(this.coefficients[i], scalar);\n }\n\n return new GenericGFPoly(this.field, product);\n }\n\n public multiplyPoly(other: GenericGFPoly): GenericGFPoly {\n if (this.isZero() || other.isZero()) {\n return this.field.zero;\n }\n const aCoefficients = this.coefficients;\n const aLength = aCoefficients.length;\n const bCoefficients = other.coefficients;\n const bLength = bCoefficients.length;\n const product = new Uint8ClampedArray(aLength + bLength - 1);\n for (let i = 0; i < aLength; i++) {\n const aCoeff = aCoefficients[i];\n for (let j = 0; j < bLength; j++) {\n product[i + j] = addOrSubtractGF(product[i + j],\n this.field.multiply(aCoeff, bCoefficients[j]));\n }\n }\n return new GenericGFPoly(this.field, product);\n }\n\n public multiplyByMonomial(degree: number, coefficient: number) {\n if (degree < 0) {\n throw new Error(\"Invalid degree less than 0\");\n }\n if (coefficient === 0) {\n return this.field.zero;\n }\n const size = this.coefficients.length;\n const product = new Uint8ClampedArray(size + degree);\n for (let i = 0; i < size; i++) {\n product[i] = this.field.multiply(this.coefficients[i], coefficient);\n }\n return new GenericGFPoly(this.field, product);\n }\n\n public evaluateAt(a: number) {\n let result = 0;\n if (a === 0) {\n // Just return the x^0 coefficient\n return this.getCoefficient(0);\n }\n const size = this.coefficients.length;\n if (a === 1) {\n // Just the sum of the coefficients\n this.coefficients.forEach((coefficient) => {\n result = addOrSubtractGF(result, coefficient);\n });\n return result;\n }\n result = this.coefficients[0];\n for (let i = 1; i < size; i++) {\n result = addOrSubtractGF(this.field.multiply(a, result), this.coefficients[i]);\n }\n return result;\n }\n}\n","import GenericGFPoly from \"./GenericGFPoly\";\n\nexport function addOrSubtractGF(a: number, b: number) {\n return a ^ b; // tslint:disable-line:no-bitwise\n}\n\nexport default class GenericGF {\n public primitive: number;\n public size: number;\n public generatorBase: number;\n public zero: GenericGFPoly;\n public one: GenericGFPoly;\n\n private expTable: number[];\n private logTable: number[];\n\n constructor(primitive: number, size: number, genBase: number) {\n this.primitive = primitive;\n this.size = size;\n this.generatorBase = genBase;\n this.expTable = new Array(this.size);\n this.logTable = new Array(this.size);\n\n let x = 1;\n for (let i = 0; i < this.size; i++) {\n this.expTable[i] = x;\n x = x * 2;\n if (x >= this.size) {\n x = (x ^ this.primitive) & (this.size - 1); // tslint:disable-line:no-bitwise\n }\n }\n\n for (let i = 0; i < this.size - 1; i++) {\n this.logTable[this.expTable[i]] = i;\n }\n this.zero = new GenericGFPoly(this, Uint8ClampedArray.from([0]));\n this.one = new GenericGFPoly(this, Uint8ClampedArray.from([1]));\n }\n\n public multiply(a: number, b: number) {\n if (a === 0 || b === 0) {\n return 0;\n }\n return this.expTable[(this.logTable[a] + this.logTable[b]) % (this.size - 1)];\n }\n\n public inverse(a: number) {\n if (a === 0) {\n throw new Error(\"Can't invert 0\");\n }\n return this.expTable[this.size - this.logTable[a] - 1];\n }\n\n public buildMonomial(degree: number, coefficient: number): GenericGFPoly {\n if (degree < 0) {\n throw new Error(\"Invalid monomial degree less than 0\");\n }\n if (coefficient === 0) {\n return this.zero;\n }\n const coefficients = new Uint8ClampedArray(degree + 1);\n coefficients[0] = coefficient;\n return new GenericGFPoly(this, coefficients);\n }\n\n public log(a: number) {\n if (a === 0) {\n throw new Error(\"Can't take log(0)\");\n }\n return this.logTable[a];\n }\n\n public exp(a: number) {\n return this.expTable[a];\n }\n}\n","import GenericGF, { addOrSubtractGF } from \"./GenericGF\";\nimport GenericGFPoly from \"./GenericGFPoly\";\n\nfunction runEuclideanAlgorithm(field: GenericGF, a: GenericGFPoly, b: GenericGFPoly, R: number): GenericGFPoly[] {\n // Assume a's degree is >= b's\n if (a.degree() < b.degree()) {\n [a, b] = [b, a];\n }\n\n let rLast = a;\n let r = b;\n let tLast = field.zero;\n let t = field.one;\n\n // Run Euclidean algorithm until r's degree is less than R/2\n while (r.degree() >= R / 2) {\n const rLastLast = rLast;\n const tLastLast = tLast;\n rLast = r;\n tLast = t;\n\n // Divide rLastLast by rLast, with quotient in q and remainder in r\n if (rLast.isZero()) {\n // Euclidean algorithm already terminated?\n return null;\n }\n r = rLastLast;\n let q = field.zero;\n const denominatorLeadingTerm = rLast.getCoefficient(rLast.degree());\n const dltInverse = field.inverse(denominatorLeadingTerm);\n while (r.degree() >= rLast.degree() && !r.isZero()) {\n const degreeDiff = r.degree() - rLast.degree();\n const scale = field.multiply(r.getCoefficient(r.degree()), dltInverse);\n q = q.addOrSubtract(field.buildMonomial(degreeDiff, scale));\n r = r.addOrSubtract(rLast.multiplyByMonomial(degreeDiff, scale));\n }\n\n t = q.multiplyPoly(tLast).addOrSubtract(tLastLast);\n\n if (r.degree() >= rLast.degree()) {\n return null;\n }\n }\n\n const sigmaTildeAtZero = t.getCoefficient(0);\n if (sigmaTildeAtZero === 0) {\n return null;\n }\n\n const inverse = field.inverse(sigmaTildeAtZero);\n return [t.multiply(inverse), r.multiply(inverse)];\n}\n\nfunction findErrorLocations(field: GenericGF, errorLocator: GenericGFPoly): number[] {\n // This is a direct application of Chien's search\n const numErrors = errorLocator.degree();\n if (numErrors === 1) {\n return [errorLocator.getCoefficient(1)];\n }\n const result: number[] = new Array(numErrors);\n let errorCount = 0;\n for (let i = 1; i < field.size && errorCount < numErrors; i++) {\n if (errorLocator.evaluateAt(i) === 0) {\n result[errorCount] = field.inverse(i);\n errorCount++;\n }\n }\n if (errorCount !== numErrors) {\n return null;\n }\n return result;\n}\n\nfunction findErrorMagnitudes(field: GenericGF, errorEvaluator: GenericGFPoly, errorLocations: number[]): number[] {\n // This is directly applying Forney's Formula\n const s = errorLocations.length;\n const result: number[] = new Array(s);\n for (let i = 0; i < s; i++) {\n const xiInverse = field.inverse(errorLocations[i]);\n let denominator = 1;\n for (let j = 0; j < s; j++) {\n if (i !== j) {\n denominator = field.multiply(denominator, addOrSubtractGF(1, field.multiply(errorLocations[j], xiInverse)));\n }\n }\n result[i] = field.multiply(errorEvaluator.evaluateAt(xiInverse), field.inverse(denominator));\n if (field.generatorBase !== 0) {\n result[i] = field.multiply(result[i], xiInverse);\n }\n }\n return result;\n}\n\nexport function decode(bytes: number[], twoS: number) {\n const outputBytes = new Uint8ClampedArray(bytes.length);\n outputBytes.set(bytes);\n\n const field = new GenericGF(0x011D, 256, 0); // x^8 + x^4 + x^3 + x^2 + 1\n const poly = new GenericGFPoly(field, outputBytes);\n\n const syndromeCoefficients = new Uint8ClampedArray(twoS);\n let error = false;\n for (let s = 0; s < twoS; s++) {\n const evaluation = poly.evaluateAt(field.exp(s + field.generatorBase));\n syndromeCoefficients[syndromeCoefficients.length - 1 - s] = evaluation;\n if (evaluation !== 0) {\n error = true;\n }\n }\n if (!error) {\n return outputBytes;\n }\n\n const syndrome = new GenericGFPoly(field, syndromeCoefficients);\n\n const sigmaOmega = runEuclideanAlgorithm(field, field.buildMonomial(twoS, 1), syndrome, twoS);\n if (sigmaOmega === null) {\n return null;\n }\n\n const errorLocations = findErrorLocations(field, sigmaOmega[0]);\n if (errorLocations == null) {\n return null;\n }\n\n const errorMagnitudes = findErrorMagnitudes(field, sigmaOmega[1], errorLocations);\n for (let i = 0; i < errorLocations.length; i++) {\n const position = outputBytes.length - 1 - field.log(errorLocations[i]);\n if (position < 0) {\n return null;\n }\n outputBytes[position] = addOrSubtractGF(outputBytes[position], errorMagnitudes[i]);\n }\n\n return outputBytes;\n}\n","export interface Version {\n infoBits: number;\n versionNumber: number;\n alignmentPatternCenters: number[];\n errorCorrectionLevels: Array<{\n ecCodewordsPerBlock: number;\n ecBlocks: Array<{\n numBlocks: number;\n dataCodewordsPerBlock: number;\n }>\n }>;\n}\n\nexport const VERSIONS: Version[] = [\n {\n infoBits: null,\n versionNumber: 1,\n alignmentPatternCenters: [],\n errorCorrectionLevels: [\n {\n ecCodewordsPerBlock: 7,\n ecBlocks: [{ numBlocks: 1, dataCodewordsPerBlock: 19 }],\n },\n {\n ecCodewordsPerBlock: 10,\n ecBlocks: [{ numBlocks: 1, dataCodewordsPerBlock: 16 }],\n },\n {\n ecCodewordsPerBlock: 13,\n ecBlocks: [{ numBlocks: 1, dataCodewordsPerBlock: 13 }],\n },\n {\n ecCodewordsPerBlock: 17,\n ecBlocks: [{ numBlocks: 1, dataCodewordsPerBlock: 9 }],\n },\n ],\n },\n {\n infoBits: null,\n versionNumber: 2,\n alignmentPatternCenters: [6, 18],\n errorCorrectionLevels: [\n {\n ecCodewordsPerBlock: 10,\n ecBlocks: [{ numBlocks: 1, dataCodewordsPerBlock: 34 }],\n },\n {\n ecCodewordsPerBlock: 16,\n ecBlocks: [{ numBlocks: 1, dataCodewordsPerBlock: 28 }],\n },\n {\n ecCodewordsPerBlock: 22,\n ecBlocks: [{ numBlocks: 1, dataCodewordsPerBlock: 22 }],\n },\n {\n ecCodewordsPerBlock: 28,\n ecBlocks: [{ numBlocks: 1, dataCodewordsPerBlock: 16 }],\n },\n ],\n },\n {\n infoBits: null,\n versionNumber: 3,\n alignmentPatternCenters: [6, 22],\n errorCorrectionLevels: [\n {\n ecCodewordsPerBlock: 15,\n ecBlocks: [{ numBlocks: 1, dataCodewordsPerBlock: 55 }],\n },\n {\n ecCodewordsPerBlock: 26,\n ecBlocks: [{ numBlocks: 1, dataCodewordsPerBlock: 44 }],\n },\n {\n ecCodewordsPerBlock: 18,\n ecBlocks: [{ numBlocks: 2, dataCodewordsPerBlock: 17 }],\n },\n {\n ecCodewordsPerBlock: 22,\n ecBlocks: [{ numBlocks: 2, dataCodewordsPerBlock: 13 }],\n },\n ],\n },\n {\n infoBits: null,\n versionNumber: 4,\n alignmentPatternCenters: [6, 26],\n errorCorrectionLevels: [\n {\n ecCodewordsPerBlock: 20,\n ecBlocks: [{ numBlocks: 1, dataCodewordsPerBlock: 80 }],\n },\n {\n ecCodewordsPerBlock: 18,\n ecBlocks: [{ numBlocks: 2, dataCodewordsPerBlock: 32 }],\n },\n {\n ecCodewordsPerBlock: 26,\n ecBlocks: [{ numBlocks: 2, dataCodewordsPerBlock: 24 }],\n },\n {\n ecCodewordsPerBlock: 16,\n ecBlocks: [{ numBlocks: 4, dataCodewordsPerBlock: 9 }],\n },\n ],\n },\n {\n infoBits: null,\n versionNumber: 5,\n alignmentPatternCenters: [6, 30],\n errorCorrectionLevels: [\n {\n ecCodewordsPerBlock: 26,\n ecBlocks: [{ numBlocks: 1, dataCodewordsPerBlock: 108 }],\n },\n {\n ecCodewordsPerBlock: 24,\n ecBlocks: [{ numBlocks: 2, dataCodewordsPerBlock: 43 }],\n },\n {\n ecCodewordsPerBlock: 18,\n ecBlocks: [\n { numBlocks: 2, dataCodewordsPerBlock: 15 },\n { numBlocks: 2, dataCodewordsPerBlock: 16 },\n ],\n },\n {\n ecCodewordsPerBlock: 22,\n ecBlocks: [\n { numBlocks: 2, dataCodewordsPerBlock: 11 },\n { numBlocks: 2, dataCodewordsPerBlock: 12 },\n ],\n },\n ],\n },\n {\n infoBits: null,\n versionNumber: 6,\n alignmentPatternCenters: [6, 34],\n errorCorrectionLevels: [\n {\n ecCodewordsPerBlock: 18,\n ecBlocks: [{ numBlocks: 2, dataCodewordsPerBlock: 68 }],\n },\n {\n ecCodewordsPerBlock: 16,\n ecBlocks: [{ numBlocks: 4, dataCodewordsPerBlock: 27 }],\n },\n {\n ecCodewordsPerBlock: 24,\n ecBlocks: [{ numBlocks: 4, dataCodewordsPerBlock: 19 }],\n },\n {\n ecCodewordsPerBlock: 28,\n ecBlocks: [{ numBlocks: 4, dataCodewordsPerBlock: 15 }],\n },\n ],\n },\n {\n infoBits: 0x07C94,\n versionNumber: 7,\n alignmentPatternCenters: [6, 22, 38],\n errorCorrectionLevels: [\n {\n ecCodewordsPerBlock: 20,\n ecBlocks: [{ numBlocks: 2, dataCodewordsPerBlock: 78 }],\n },\n {\n ecCodewordsPerBlock: 18,\n ecBlocks: [{ numBlocks: 4, dataCodewordsPerBlock: 31 }],\n },\n {\n ecCodewordsPerBlock: 18,\n ecBlocks: [\n { numBlocks: 2, dataCodewordsPerBlock: 14 },\n { numBlocks: 4, dataCodewordsPerBlock: 15 },\n ],\n },\n {\n ecCodewordsPerBlock: 26,\n ecBlocks: [\n { numBlocks: 4, dataCodewordsPerBlock: 13 },\n { numBlocks: 1, dataCodewordsPerBlock: 14 },\n ],\n },\n ],\n },\n {\n infoBits: 0x085BC,\n versionNumber: 8,\n alignmentPatternCenters: [6, 24, 42],\n errorCorrectionLevels: [\n {\n ecCodewordsPerBlock: 24,\n ecBlocks: [{ numBlocks: 2, dataCodewordsPerBlock: 97 }],\n },\n {\n ecCodewordsPerBlock: 22,\n ecBlocks: [\n { numBlocks: 2, dataCodewordsPerBlock: 38 },\n { numBlocks: 2, dataCodewordsPerBlock: 39 },\n ],\n },\n {\n ecCodewordsPerBlock: 22,\n ecBlocks: [\n { numBlocks: 4, dataCodewordsPerBlock: 18 },\n { numBlocks: 2, dataCodewordsPerBlock: 19 },\n ],\n },\n {\n ecCodewordsPerBlock: 26,\n ecBlocks: [\n { numBlocks: 4, dataCodewordsPerBlock: 14 },\n { numBlocks: 2, dataCodewordsPerBlock: 15 },\n ],\n },\n ],\n },\n {\n infoBits: 0x09A99,\n versionNumber: 9,\n alignmentPatternCenters: [6, 26, 46],\n errorCorrectionLevels: [\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [{ numBlocks: 2, dataCodewordsPerBlock: 116 }],\n },\n {\n ecCodewordsPerBlock: 22,\n ecBlocks: [\n { numBlocks: 3, dataCodewordsPerBlock: 36 },\n { numBlocks: 2, dataCodewordsPerBlock: 37 },\n ],\n },\n {\n ecCodewordsPerBlock: 20,\n ecBlocks: [\n { numBlocks: 4, dataCodewordsPerBlock: 16 },\n { numBlocks: 4, dataCodewordsPerBlock: 17 },\n ],\n },\n {\n ecCodewordsPerBlock: 24,\n ecBlocks: [\n { numBlocks: 4, dataCodewordsPerBlock: 12 },\n { numBlocks: 4, dataCodewordsPerBlock: 13 },\n ],\n },\n ],\n },\n {\n infoBits: 0x0A4D3,\n versionNumber: 10,\n alignmentPatternCenters: [6, 28, 50],\n errorCorrectionLevels: [\n {\n ecCodewordsPerBlock: 18,\n ecBlocks: [\n { numBlocks: 2, dataCodewordsPerBlock: 68 },\n { numBlocks: 2, dataCodewordsPerBlock: 69 },\n ],\n },\n {\n ecCodewordsPerBlock: 26,\n ecBlocks: [\n { numBlocks: 4, dataCodewordsPerBlock: 43 },\n { numBlocks: 1, dataCodewordsPerBlock: 44 },\n ],\n },\n {\n ecCodewordsPerBlock: 24,\n ecBlocks: [\n { numBlocks: 6, dataCodewordsPerBlock: 19 },\n { numBlocks: 2, dataCodewordsPerBlock: 20 },\n ],\n },\n {\n ecCodewordsPerBlock: 28,\n ecBlocks: [\n { numBlocks: 6, dataCodewordsPerBlock: 15 },\n { numBlocks: 2, dataCodewordsPerBlock: 16 },\n ],\n },\n ],\n },\n {\n infoBits: 0x0BBF6,\n versionNumber: 11,\n alignmentPatternCenters: [6, 30, 54],\n errorCorrectionLevels: [\n {\n ecCodewordsPerBlock: 20,\n ecBlocks: [{ numBlocks: 4, dataCodewordsPerBlock: 81 }],\n },\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 1, dataCodewordsPerBlock: 50 },\n { numBlocks: 4, dataCodewordsPerBlock: 51 },\n ],\n },\n {\n ecCodewordsPerBlock: 28,\n ecBlocks: [\n { numBlocks: 4, dataCodewordsPerBlock: 22 },\n { numBlocks: 4, dataCodewordsPerBlock: 23 },\n ],\n },\n {\n ecCodewordsPerBlock: 24,\n ecBlocks: [\n { numBlocks: 3, dataCodewordsPerBlock: 12 },\n { numBlocks: 8, dataCodewordsPerBlock: 13 },\n ],\n },\n ],\n },\n {\n infoBits: 0x0C762,\n versionNumber: 12,\n alignmentPatternCenters: [6, 32, 58],\n errorCorrectionLevels: [\n {\n ecCodewordsPerBlock: 24,\n ecBlocks: [\n { numBlocks: 2, dataCodewordsPerBlock: 92 },\n { numBlocks: 2, dataCodewordsPerBlock: 93 },\n ],\n },\n {\n ecCodewordsPerBlock: 22,\n ecBlocks: [\n { numBlocks: 6, dataCodewordsPerBlock: 36 },\n { numBlocks: 2, dataCodewordsPerBlock: 37 },\n ],\n },\n {\n ecCodewordsPerBlock: 26,\n ecBlocks: [\n { numBlocks: 4, dataCodewordsPerBlock: 20 },\n { numBlocks: 6, dataCodewordsPerBlock: 21 },\n ],\n },\n {\n ecCodewordsPerBlock: 28,\n ecBlocks: [\n { numBlocks: 7, dataCodewordsPerBlock: 14 },\n { numBlocks: 4, dataCodewordsPerBlock: 15 },\n ],\n },\n ],\n },\n {\n infoBits: 0x0D847,\n versionNumber: 13,\n alignmentPatternCenters: [6, 34, 62],\n errorCorrectionLevels: [\n {\n ecCodewordsPerBlock: 26,\n ecBlocks: [{ numBlocks: 4, dataCodewordsPerBlock: 107 }],\n },\n {\n ecCodewordsPerBlock: 22,\n ecBlocks: [\n { numBlocks: 8, dataCodewordsPerBlock: 37 },\n { numBlocks: 1, dataCodewordsPerBlock: 38 },\n ],\n },\n {\n ecCodewordsPerBlock: 24,\n ecBlocks: [\n { numBlocks: 8, dataCodewordsPerBlock: 20 },\n { numBlocks: 4, dataCodewordsPerBlock: 21 },\n ],\n },\n {\n ecCodewordsPerBlock: 22,\n ecBlocks: [\n { numBlocks: 12, dataCodewordsPerBlock: 11 },\n { numBlocks: 4, dataCodewordsPerBlock: 12 },\n ],\n },\n ],\n },\n {\n infoBits: 0x0E60D,\n versionNumber: 14,\n alignmentPatternCenters: [6, 26, 46, 66],\n errorCorrectionLevels: [\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 3, dataCodewordsPerBlock: 115 },\n { numBlocks: 1, dataCodewordsPerBlock: 116 },\n ],\n },\n {\n ecCodewordsPerBlock: 24,\n ecBlocks: [\n { numBlocks: 4, dataCodewordsPerBlock: 40 },\n { numBlocks: 5, dataCodewordsPerBlock: 41 },\n ],\n },\n {\n ecCodewordsPerBlock: 20,\n ecBlocks: [\n { numBlocks: 11, dataCodewordsPerBlock: 16 },\n { numBlocks: 5, dataCodewordsPerBlock: 17 },\n ],\n },\n {\n ecCodewordsPerBlock: 24,\n ecBlocks: [\n { numBlocks: 11, dataCodewordsPerBlock: 12 },\n { numBlocks: 5, dataCodewordsPerBlock: 13 },\n ],\n },\n ],\n },\n {\n infoBits: 0x0F928,\n versionNumber: 15,\n alignmentPatternCenters: [6, 26, 48, 70],\n errorCorrectionLevels: [\n {\n ecCodewordsPerBlock: 22,\n ecBlocks: [\n { numBlocks: 5, dataCodewordsPerBlock: 87 },\n { numBlocks: 1, dataCodewordsPerBlock: 88 },\n ],\n },\n {\n ecCodewordsPerBlock: 24,\n ecBlocks: [\n { numBlocks: 5, dataCodewordsPerBlock: 41 },\n { numBlocks: 5, dataCodewordsPerBlock: 42 },\n ],\n },\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 5, dataCodewordsPerBlock: 24 },\n { numBlocks: 7, dataCodewordsPerBlock: 25 },\n ],\n },\n {\n ecCodewordsPerBlock: 24,\n ecBlocks: [\n { numBlocks: 11, dataCodewordsPerBlock: 12 },\n { numBlocks: 7, dataCodewordsPerBlock: 13 },\n ],\n },\n ],\n },\n {\n infoBits: 0x10B78,\n versionNumber: 16,\n alignmentPatternCenters: [6, 26, 50, 74],\n errorCorrectionLevels: [\n {\n ecCodewordsPerBlock: 24,\n ecBlocks: [\n { numBlocks: 5, dataCodewordsPerBlock: 98 },\n { numBlocks: 1, dataCodewordsPerBlock: 99 },\n ],\n },\n {\n ecCodewordsPerBlock: 28,\n ecBlocks: [\n { numBlocks: 7, dataCodewordsPerBlock: 45 },\n { numBlocks: 3, dataCodewordsPerBlock: 46 },\n ],\n },\n {\n ecCodewordsPerBlock: 24,\n ecBlocks: [\n { numBlocks: 15, dataCodewordsPerBlock: 19 },\n { numBlocks: 2, dataCodewordsPerBlock: 20 },\n ],\n },\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 3, dataCodewordsPerBlock: 15 },\n { numBlocks: 13, dataCodewordsPerBlock: 16 },\n ],\n },\n ],\n },\n {\n infoBits: 0x1145D,\n versionNumber: 17,\n alignmentPatternCenters: [6, 30, 54, 78],\n errorCorrectionLevels: [\n {\n ecCodewordsPerBlock: 28,\n ecBlocks: [\n { numBlocks: 1, dataCodewordsPerBlock: 107 },\n { numBlocks: 5, dataCodewordsPerBlock: 108 },\n ],\n },\n {\n ecCodewordsPerBlock: 28,\n ecBlocks: [\n { numBlocks: 10, dataCodewordsPerBlock: 46 },\n { numBlocks: 1, dataCodewordsPerBlock: 47 },\n ],\n },\n {\n ecCodewordsPerBlock: 28,\n ecBlocks: [\n { numBlocks: 1, dataCodewordsPerBlock: 22 },\n { numBlocks: 15, dataCodewordsPerBlock: 23 },\n ],\n },\n {\n ecCodewordsPerBlock: 28,\n ecBlocks: [\n { numBlocks: 2, dataCodewordsPerBlock: 14 },\n { numBlocks: 17, dataCodewordsPerBlock: 15 },\n ],\n },\n ],\n },\n {\n infoBits: 0x12A17,\n versionNumber: 18,\n alignmentPatternCenters: [6, 30, 56, 82],\n errorCorrectionLevels: [\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 5, dataCodewordsPerBlock: 120 },\n { numBlocks: 1, dataCodewordsPerBlock: 121 },\n ],\n },\n {\n ecCodewordsPerBlock: 26,\n ecBlocks: [\n { numBlocks: 9, dataCodewordsPerBlock: 43 },\n { numBlocks: 4, dataCodewordsPerBlock: 44 },\n ],\n },\n {\n ecCodewordsPerBlock: 28,\n ecBlocks: [\n { numBlocks: 17, dataCodewordsPerBlock: 22 },\n { numBlocks: 1, dataCodewordsPerBlock: 23 },\n ],\n },\n {\n ecCodewordsPerBlock: 28,\n ecBlocks: [\n { numBlocks: 2, dataCodewordsPerBlock: 14 },\n { numBlocks: 19, dataCodewordsPerBlock: 15 },\n ],\n },\n ],\n },\n {\n infoBits: 0x13532,\n versionNumber: 19,\n alignmentPatternCenters: [6, 30, 58, 86],\n errorCorrectionLevels: [\n {\n ecCodewordsPerBlock: 28,\n ecBlocks: [\n { numBlocks: 3, dataCodewordsPerBlock: 113 },\n { numBlocks: 4, dataCodewordsPerBlock: 114 },\n ],\n },\n {\n ecCodewordsPerBlock: 26,\n ecBlocks: [\n { numBlocks: 3, dataCodewordsPerBlock: 44 },\n { numBlocks: 11, dataCodewordsPerBlock: 45 },\n ],\n },\n {\n ecCodewordsPerBlock: 26,\n ecBlocks: [\n { numBlocks: 17, dataCodewordsPerBlock: 21 },\n { numBlocks: 4, dataCodewordsPerBlock: 22 },\n ],\n },\n {\n ecCodewordsPerBlock: 26,\n ecBlocks: [\n { numBlocks: 9, dataCodewordsPerBlock: 13 },\n { numBlocks: 16, dataCodewordsPerBlock: 14 },\n ],\n },\n ],\n },\n {\n infoBits: 0x149A6,\n versionNumber: 20,\n alignmentPatternCenters: [6, 34, 62, 90],\n errorCorrectionLevels: [\n {\n ecCodewordsPerBlock: 28,\n ecBlocks: [\n { numBlocks: 3, dataCodewordsPerBlock: 107 },\n { numBlocks: 5, dataCodewordsPerBlock: 108 },\n ],\n },\n {\n ecCodewordsPerBlock: 26,\n ecBlocks: [\n { numBlocks: 3, dataCodewordsPerBlock: 41 },\n { numBlocks: 13, dataCodewordsPerBlock: 42 },\n ],\n },\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 15, dataCodewordsPerBlock: 24 },\n { numBlocks: 5, dataCodewordsPerBlock: 25 },\n ],\n },\n {\n ecCodewordsPerBlock: 28,\n ecBlocks: [\n { numBlocks: 15, dataCodewordsPerBlock: 15 },\n { numBlocks: 10, dataCodewordsPerBlock: 16 },\n ],\n },\n ],\n },\n {\n infoBits: 0x15683,\n versionNumber: 21,\n alignmentPatternCenters: [6, 28, 50, 72, 94],\n errorCorrectionLevels: [\n {\n ecCodewordsPerBlock: 28,\n ecBlocks: [\n { numBlocks: 4, dataCodewordsPerBlock: 116 },\n { numBlocks: 4, dataCodewordsPerBlock: 117 },\n ],\n },\n {\n ecCodewordsPerBlock: 26,\n ecBlocks: [{ numBlocks: 17, dataCodewordsPerBlock: 42 }],\n },\n {\n ecCodewordsPerBlock: 28,\n ecBlocks: [\n { numBlocks: 17, dataCodewordsPerBlock: 22 },\n { numBlocks: 6, dataCodewordsPerBlock: 23 },\n ],\n },\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 19, dataCodewordsPerBlock: 16 },\n { numBlocks: 6, dataCodewordsPerBlock: 17 },\n ],\n },\n ],\n },\n {\n infoBits: 0x168C9,\n versionNumber: 22,\n alignmentPatternCenters: [6, 26, 50, 74, 98],\n errorCorrectionLevels: [\n {\n ecCodewordsPerBlock: 28,\n ecBlocks: [\n { numBlocks: 2, dataCodewordsPerBlock: 111 },\n { numBlocks: 7, dataCodewordsPerBlock: 112 },\n ],\n },\n {\n ecCodewordsPerBlock: 28,\n ecBlocks: [{ numBlocks: 17, dataCodewordsPerBlock: 46 }],\n },\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 7, dataCodewordsPerBlock: 24 },\n { numBlocks: 16, dataCodewordsPerBlock: 25 },\n ],\n },\n {\n ecCodewordsPerBlock: 24,\n ecBlocks: [{ numBlocks: 34, dataCodewordsPerBlock: 13 }],\n },\n ],\n },\n {\n infoBits: 0x177EC,\n versionNumber: 23,\n alignmentPatternCenters: [6, 30, 54, 74, 102],\n errorCorrectionLevels: [\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 4, dataCodewordsPerBlock: 121 },\n { numBlocks: 5, dataCodewordsPerBlock: 122 },\n ],\n },\n {\n ecCodewordsPerBlock: 28,\n ecBlocks: [\n { numBlocks: 4, dataCodewordsPerBlock: 47 },\n { numBlocks: 14, dataCodewordsPerBlock: 48 },\n ],\n },\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 11, dataCodewordsPerBlock: 24 },\n { numBlocks: 14, dataCodewordsPerBlock: 25 },\n ],\n },\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 16, dataCodewordsPerBlock: 15 },\n { numBlocks: 14, dataCodewordsPerBlock: 16 },\n ],\n },\n ],\n },\n {\n infoBits: 0x18EC4,\n versionNumber: 24,\n alignmentPatternCenters: [6, 28, 54, 80, 106],\n errorCorrectionLevels: [\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 6, dataCodewordsPerBlock: 117 },\n { numBlocks: 4, dataCodewordsPerBlock: 118 },\n ],\n },\n {\n ecCodewordsPerBlock: 28,\n ecBlocks: [\n { numBlocks: 6, dataCodewordsPerBlock: 45 },\n { numBlocks: 14, dataCodewordsPerBlock: 46 },\n ],\n },\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 11, dataCodewordsPerBlock: 24 },\n { numBlocks: 16, dataCodewordsPerBlock: 25 },\n ],\n },\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 30, dataCodewordsPerBlock: 16 },\n { numBlocks: 2, dataCodewordsPerBlock: 17 },\n ],\n },\n ],\n },\n {\n infoBits: 0x191E1,\n versionNumber: 25,\n alignmentPatternCenters: [6, 32, 58, 84, 110],\n errorCorrectionLevels: [\n {\n ecCodewordsPerBlock: 26,\n ecBlocks: [\n { numBlocks: 8, dataCodewordsPerBlock: 106 },\n { numBlocks: 4, dataCodewordsPerBlock: 107 },\n ],\n },\n {\n ecCodewordsPerBlock: 28,\n ecBlocks: [\n { numBlocks: 8, dataCodewordsPerBlock: 47 },\n { numBlocks: 13, dataCodewordsPerBlock: 48 },\n ],\n },\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 7, dataCodewordsPerBlock: 24 },\n { numBlocks: 22, dataCodewordsPerBlock: 25 },\n ],\n },\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 22, dataCodewordsPerBlock: 15 },\n { numBlocks: 13, dataCodewordsPerBlock: 16 },\n ],\n },\n ],\n },\n {\n infoBits: 0x1AFAB,\n versionNumber: 26,\n alignmentPatternCenters: [6, 30, 58, 86, 114],\n errorCorrectionLevels: [\n {\n ecCodewordsPerBlock: 28,\n ecBlocks: [\n { numBlocks: 10, dataCodewordsPerBlock: 114 },\n { numBlocks: 2, dataCodewordsPerBlock: 115 },\n ],\n },\n {\n ecCodewordsPerBlock: 28,\n ecBlocks: [\n { numBlocks: 19, dataCodewordsPerBlock: 46 },\n { numBlocks: 4, dataCodewordsPerBlock: 47 },\n ],\n },\n {\n ecCodewordsPerBlock: 28,\n ecBlocks: [\n { numBlocks: 28, dataCodewordsPerBlock: 22 },\n { numBlocks: 6, dataCodewordsPerBlock: 23 },\n ],\n },\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 33, dataCodewordsPerBlock: 16 },\n { numBlocks: 4, dataCodewordsPerBlock: 17 },\n ],\n },\n ],\n },\n {\n infoBits: 0x1B08E,\n versionNumber: 27,\n alignmentPatternCenters: [6, 34, 62, 90, 118],\n errorCorrectionLevels: [\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 8, dataCodewordsPerBlock: 122 },\n { numBlocks: 4, dataCodewordsPerBlock: 123 },\n ],\n },\n {\n ecCodewordsPerBlock: 28,\n ecBlocks: [\n { numBlocks: 22, dataCodewordsPerBlock: 45 },\n { numBlocks: 3, dataCodewordsPerBlock: 46 },\n ],\n },\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 8, dataCodewordsPerBlock: 23 },\n { numBlocks: 26, dataCodewordsPerBlock: 24 },\n ],\n },\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 12, dataCodewordsPerBlock: 15 },\n { numBlocks: 28, dataCodewordsPerBlock: 16 },\n ],\n },\n ],\n },\n {\n infoBits: 0x1CC1A,\n versionNumber: 28,\n alignmentPatternCenters: [6, 26, 50, 74, 98, 122],\n errorCorrectionLevels: [\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 3, dataCodewordsPerBlock: 117 },\n { numBlocks: 10, dataCodewordsPerBlock: 118 },\n ],\n },\n {\n ecCodewordsPerBlock: 28,\n ecBlocks: [\n { numBlocks: 3, dataCodewordsPerBlock: 45 },\n { numBlocks: 23, dataCodewordsPerBlock: 46 },\n ],\n },\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 4, dataCodewordsPerBlock: 24 },\n { numBlocks: 31, dataCodewordsPerBlock: 25 },\n ],\n },\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 11, dataCodewordsPerBlock: 15 },\n { numBlocks: 31, dataCodewordsPerBlock: 16 },\n ],\n },\n ],\n },\n {\n infoBits: 0x1D33F,\n versionNumber: 29,\n alignmentPatternCenters: [6, 30, 54, 78, 102, 126],\n errorCorrectionLevels: [\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 7, dataCodewordsPerBlock: 116 },\n { numBlocks: 7, dataCodewordsPerBlock: 117 },\n ],\n },\n {\n ecCodewordsPerBlock: 28,\n ecBlocks: [\n { numBlocks: 21, dataCodewordsPerBlock: 45 },\n { numBlocks: 7, dataCodewordsPerBlock: 46 },\n ],\n },\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 1, dataCodewordsPerBlock: 23 },\n { numBlocks: 37, dataCodewordsPerBlock: 24 },\n ],\n },\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 19, dataCodewordsPerBlock: 15 },\n { numBlocks: 26, dataCodewordsPerBlock: 16 },\n ],\n },\n ],\n },\n {\n infoBits: 0x1ED75,\n versionNumber: 30,\n alignmentPatternCenters: [6, 26, 52, 78, 104, 130],\n errorCorrectionLevels: [\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 5, dataCodewordsPerBlock: 115 },\n { numBlocks: 10, dataCodewordsPerBlock: 116 },\n ],\n },\n {\n ecCodewordsPerBlock: 28,\n ecBlocks: [\n { numBlocks: 19, dataCodewordsPerBlock: 47 },\n { numBlocks: 10, dataCodewordsPerBlock: 48 },\n ],\n },\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 15, dataCodewordsPerBlock: 24 },\n { numBlocks: 25, dataCodewordsPerBlock: 25 },\n ],\n },\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 23, dataCodewordsPerBlock: 15 },\n { numBlocks: 25, dataCodewordsPerBlock: 16 },\n ],\n },\n ],\n },\n {\n infoBits: 0x1F250,\n versionNumber: 31,\n alignmentPatternCenters: [6, 30, 56, 82, 108, 134],\n errorCorrectionLevels: [\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 13, dataCodewordsPerBlock: 115 },\n { numBlocks: 3, dataCodewordsPerBlock: 116 },\n ],\n },\n {\n ecCodewordsPerBlock: 28,\n ecBlocks: [\n { numBlocks: 2, dataCodewordsPerBlock: 46 },\n { numBlocks: 29, dataCodewordsPerBlock: 47 },\n ],\n },\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 42, dataCodewordsPerBlock: 24 },\n { numBlocks: 1, dataCodewordsPerBlock: 25 },\n ],\n },\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 23, dataCodewordsPerBlock: 15 },\n { numBlocks: 28, dataCodewordsPerBlock: 16 },\n ],\n },\n ],\n },\n {\n infoBits: 0x209D5,\n versionNumber: 32,\n alignmentPatternCenters: [6, 34, 60, 86, 112, 138],\n errorCorrectionLevels: [\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [{ numBlocks: 17, dataCodewordsPerBlock: 115 }],\n },\n {\n ecCodewordsPerBlock: 28,\n ecBlocks: [\n { numBlocks: 10, dataCodewordsPerBlock: 46 },\n { numBlocks: 23, dataCodewordsPerBlock: 47 },\n ],\n },\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 10, dataCodewordsPerBlock: 24 },\n { numBlocks: 35, dataCodewordsPerBlock: 25 },\n ],\n },\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 19, dataCodewordsPerBlock: 15 },\n { numBlocks: 35, dataCodewordsPerBlock: 16 },\n ],\n },\n ],\n },\n {\n infoBits: 0x216F0,\n versionNumber: 33,\n alignmentPatternCenters: [6, 30, 58, 86, 114, 142],\n errorCorrectionLevels: [\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 17, dataCodewordsPerBlock: 115 },\n { numBlocks: 1, dataCodewordsPerBlock: 116 },\n ],\n },\n {\n ecCodewordsPerBlock: 28,\n ecBlocks: [\n { numBlocks: 14, dataCodewordsPerBlock: 46 },\n { numBlocks: 21, dataCodewordsPerBlock: 47 },\n ],\n },\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 29, dataCodewordsPerBlock: 24 },\n { numBlocks: 19, dataCodewordsPerBlock: 25 },\n ],\n },\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 11, dataCodewordsPerBlock: 15 },\n { numBlocks: 46, dataCodewordsPerBlock: 16 },\n ],\n },\n ],\n },\n {\n infoBits: 0x228BA,\n versionNumber: 34,\n alignmentPatternCenters: [6, 34, 62, 90, 118, 146],\n errorCorrectionLevels: [\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 13, dataCodewordsPerBlock: 115 },\n { numBlocks: 6, dataCodewordsPerBlock: 116 },\n ],\n },\n {\n ecCodewordsPerBlock: 28,\n ecBlocks: [\n { numBlocks: 14, dataCodewordsPerBlock: 46 },\n { numBlocks: 23, dataCodewordsPerBlock: 47 },\n ],\n },\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 44, dataCodewordsPerBlock: 24 },\n { numBlocks: 7, dataCodewordsPerBlock: 25 },\n ],\n },\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 59, dataCodewordsPerBlock: 16 },\n { numBlocks: 1, dataCodewordsPerBlock: 17 },\n ],\n },\n ],\n },\n {\n infoBits: 0x2379F,\n versionNumber: 35,\n alignmentPatternCenters: [6, 30, 54, 78, 102, 126, 150],\n errorCorrectionLevels: [\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 12, dataCodewordsPerBlock: 121 },\n { numBlocks: 7, dataCodewordsPerBlock: 122 },\n ],\n },\n {\n ecCodewordsPerBlock: 28,\n ecBlocks: [\n { numBlocks: 12, dataCodewordsPerBlock: 47 },\n { numBlocks: 26, dataCodewordsPerBlock: 48 },\n ],\n },\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 39, dataCodewordsPerBlock: 24 },\n { numBlocks: 14, dataCodewordsPerBlock: 25 },\n ],\n },\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 22, dataCodewordsPerBlock: 15 },\n { numBlocks: 41, dataCodewordsPerBlock: 16 },\n ],\n },\n ],\n },\n {\n infoBits: 0x24B0B,\n versionNumber: 36,\n alignmentPatternCenters: [ 6, 24, 50, 76, 102, 128, 154 ],\n errorCorrectionLevels: [\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 6, dataCodewordsPerBlock: 121 },\n { numBlocks: 14, dataCodewordsPerBlock: 122 },\n ],\n },\n {\n ecCodewordsPerBlock: 28,\n ecBlocks: [\n { numBlocks: 6, dataCodewordsPerBlock: 47 },\n { numBlocks: 34, dataCodewordsPerBlock: 48 },\n ],\n },\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 46, dataCodewordsPerBlock: 24 },\n { numBlocks: 10, dataCodewordsPerBlock: 25 },\n ],\n },\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 2, dataCodewordsPerBlock: 15 },\n { numBlocks: 64, dataCodewordsPerBlock: 16 },\n ],\n },\n ],\n },\n {\n infoBits: 0x2542E,\n versionNumber: 37,\n alignmentPatternCenters: [ 6, 28, 54, 80, 106, 132, 158 ],\n errorCorrectionLevels: [\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 17, dataCodewordsPerBlock: 122 },\n { numBlocks: 4, dataCodewordsPerBlock: 123 },\n ],\n },\n {\n ecCodewordsPerBlock: 28,\n ecBlocks: [\n { numBlocks: 29, dataCodewordsPerBlock: 46 },\n { numBlocks: 14, dataCodewordsPerBlock: 47 },\n ],\n },\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 49, dataCodewordsPerBlock: 24 },\n { numBlocks: 10, dataCodewordsPerBlock: 25 },\n ],\n },\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 24, dataCodewordsPerBlock: 15 },\n { numBlocks: 46, dataCodewordsPerBlock: 16 },\n ],\n },\n ],\n },\n {\n infoBits: 0x26A64,\n versionNumber: 38,\n alignmentPatternCenters: [ 6, 32, 58, 84, 110, 136, 162 ],\n errorCorrectionLevels: [\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 4, dataCodewordsPerBlock: 122 },\n { numBlocks: 18, dataCodewordsPerBlock: 123 },\n ],\n },\n {\n ecCodewordsPerBlock: 28,\n ecBlocks: [\n { numBlocks: 13, dataCodewordsPerBlock: 46 },\n { numBlocks: 32, dataCodewordsPerBlock: 47 },\n ],\n },\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 48, dataCodewordsPerBlock: 24 },\n { numBlocks: 14, dataCodewordsPerBlock: 25 },\n ],\n },\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 42, dataCodewordsPerBlock: 15 },\n { numBlocks: 32, dataCodewordsPerBlock: 16 },\n ],\n },\n ],\n },\n {\n infoBits: 0x27541,\n versionNumber: 39,\n alignmentPatternCenters: [ 6, 26, 54, 82, 110, 138, 166 ],\n errorCorrectionLevels: [\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 20, dataCodewordsPerBlock: 117 },\n { numBlocks: 4, dataCodewordsPerBlock: 118 },\n ],\n },\n {\n ecCodewordsPerBlock: 28,\n ecBlocks: [\n { numBlocks: 40, dataCodewordsPerBlock: 47 },\n { numBlocks: 7, dataCodewordsPerBlock: 48 },\n ],\n },\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 43, dataCodewordsPerBlock: 24 },\n { numBlocks: 22, dataCodewordsPerBlock: 25 },\n ],\n },\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 10, dataCodewordsPerBlock: 15 },\n { numBlocks: 67, dataCodewordsPerBlock: 16 },\n ],\n },\n ],\n },\n {\n infoBits: 0x28C69,\n versionNumber: 40,\n alignmentPatternCenters: [ 6, 30, 58, 86, 114, 142, 170 ],\n errorCorrectionLevels: [\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 19, dataCodewordsPerBlock: 118 },\n { numBlocks: 6, dataCodewordsPerBlock: 119 },\n ],\n },\n {\n ecCodewordsPerBlock: 28,\n ecBlocks: [\n { numBlocks: 18, dataCodewordsPerBlock: 47 },\n { numBlocks: 31, dataCodewordsPerBlock: 48 },\n ],\n },\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 34, dataCodewordsPerBlock: 24 },\n { numBlocks: 34, dataCodewordsPerBlock: 25 },\n ],\n },\n {\n ecCodewordsPerBlock: 30,\n ecBlocks: [\n { numBlocks: 20, dataCodewordsPerBlock: 15 },\n { numBlocks: 61, dataCodewordsPerBlock: 16 },\n ],\n },\n ],\n },\n];\n","import { BitMatrix } from \"../BitMatrix\";\nimport { Point } from \"../Point\";\nimport { decode as decodeData, DecodedQR } from \"./decodeData\";\nimport { decode as rsDecode } from \"./reedsolomon\";\nimport { Version, VERSIONS } from \"./version\";\n\n// tslint:disable:no-bitwise\nfunction numBitsDiffering(x: number, y: number) {\n let z = x ^ y;\n let bitCount = 0;\n while (z) {\n bitCount++;\n z &= z - 1;\n }\n return bitCount;\n}\n\nfunction pushBit(bit: any, byte: number) {\n return (byte << 1) | bit;\n}\n// tslint:enable:no-bitwise\n\nconst FORMAT_INFO_TABLE = [\n { bits: 0x5412, formatInfo: { errorCorrectionLevel: 1, dataMask: 0 } },\n { bits: 0x5125, formatInfo: { errorCorrectionLevel: 1, dataMask: 1 } },\n { bits: 0x5E7C, formatInfo: { errorCorrectionLevel: 1, dataMask: 2 } },\n { bits: 0x5B4B, formatInfo: { errorCorrectionLevel: 1, dataMask: 3 } },\n { bits: 0x45F9, formatInfo: { errorCorrectionLevel: 1, dataMask: 4 } },\n { bits: 0x40CE, formatInfo: { errorCorrectionLevel: 1, dataMask: 5 } },\n { bits: 0x4F97, formatInfo: { errorCorrectionLevel: 1, dataMask: 6 } },\n { bits: 0x4AA0, formatInfo: { errorCorrectionLevel: 1, dataMask: 7 } },\n { bits: 0x77C4, formatInfo: { errorCorrectionLevel: 0, dataMask: 0 } },\n { bits: 0x72F3, formatInfo: { errorCorrectionLevel: 0, dataMask: 1 } },\n { bits: 0x7DAA, formatInfo: { errorCorrectionLevel: 0, dataMask: 2 } },\n { bits: 0x789D, formatInfo: { errorCorrectionLevel: 0, dataMask: 3 } },\n { bits: 0x662F, formatInfo: { errorCorrectionLevel: 0, dataMask: 4 } },\n { bits: 0x6318, formatInfo: { errorCorrectionLevel: 0, dataMask: 5 } },\n { bits: 0x6C41, formatInfo: { errorCorrectionLevel: 0, dataMask: 6 } },\n { bits: 0x6976, formatInfo: { errorCorrectionLevel: 0, dataMask: 7 } },\n { bits: 0x1689, formatInfo: { errorCorrectionLevel: 3, dataMask: 0 } },\n { bits: 0x13BE, formatInfo: { errorCorrectionLevel: 3, dataMask: 1 } },\n { bits: 0x1CE7, formatInfo: { errorCorrectionLevel: 3, dataMask: 2 } },\n { bits: 0x19D0, formatInfo: { errorCorrectionLevel: 3, dataMask: 3 } },\n { bits: 0x0762, formatInfo: { errorCorrectionLevel: 3, dataMask: 4 } },\n { bits: 0x0255, formatInfo: { errorCorrectionLevel: 3, dataMask: 5 } },\n { bits: 0x0D0C, formatInfo: { errorCorrectionLevel: 3, dataMask: 6 } },\n { bits: 0x083B, formatInfo: { errorCorrectionLevel: 3, dataMask: 7 } },\n { bits: 0x355F, formatInfo: { errorCorrectionLevel: 2, dataMask: 0 } },\n { bits: 0x3068, formatInfo: { errorCorrectionLevel: 2, dataMask: 1 } },\n { bits: 0x3F31, formatInfo: { errorCorrectionLevel: 2, dataMask: 2 } },\n { bits: 0x3A06, formatInfo: { errorCorrectionLevel: 2, dataMask: 3 } },\n { bits: 0x24B4, formatInfo: { errorCorrectionLevel: 2, dataMask: 4 } },\n { bits: 0x2183, formatInfo: { errorCorrectionLevel: 2, dataMask: 5 } },\n { bits: 0x2EDA, formatInfo: { errorCorrectionLevel: 2, dataMask: 6 } },\n { bits: 0x2BED, formatInfo: { errorCorrectionLevel: 2, dataMask: 7 } },\n];\n\nconst DATA_MASKS = [\n (p: Point) => ((p.y + p.x) % 2) === 0,\n (p: Point) => (p.y % 2) === 0,\n (p: Point) => p.x % 3 === 0,\n (p: Point) => (p.y + p.x) % 3 === 0,\n (p: Point) => (Math.floor(p.y / 2) + Math.floor(p.x / 3)) % 2 === 0,\n (p: Point) => ((p.x * p.y) % 2) + ((p.x * p.y) % 3) === 0,\n (p: Point) => ((((p.y * p.x) % 2) + (p.y * p.x) % 3) % 2) === 0,\n (p: Point) => ((((p.y + p.x) % 2) + (p.y * p.x) % 3) % 2) === 0,\n];\n\ninterface FormatInformation {\n errorCorrectionLevel: number;\n dataMask: number;\n}\n\nfunction buildFunctionPatternMask(version: Version): BitMatrix {\n const dimension = 17 + 4 * version.versionNumber;\n const matrix = BitMatrix.createEmpty(dimension, dimension);\n\n matrix.setRegion(0, 0, 9, 9, true); // Top left finder pattern + separator + format\n matrix.setRegion(dimension - 8, 0, 8, 9, true); // Top right finder pattern + separator + format\n matrix.setRegion(0, dimension - 8, 9, 8, true); // Bottom left finder pattern + separator + format\n\n // Alignment patterns\n for (const x of version.alignmentPatternCenters) {\n for (const y of version.alignmentPatternCenters) {\n if (!(x === 6 && y === 6 || x === 6 && y === dimension - 7 || x === dimension - 7 && y === 6)) {\n matrix.setRegion(x - 2, y - 2, 5, 5, true);\n }\n }\n }\n\n matrix.setRegion(6, 9, 1, dimension - 17, true); // Vertical timing pattern\n matrix.setRegion(9, 6, dimension - 17, 1, true); // Horizontal timing pattern\n\n if (version.versionNumber > 6) {\n matrix.setRegion(dimension - 11, 0, 3, 6, true); // Version info, top right\n matrix.setRegion(0, dimension - 11, 6, 3, true); // Version info, bottom left\n }\n\n return matrix;\n}\n\nfunction readCodewords(matrix: BitMatrix, version: Version, formatInfo: FormatInformation) {\n const dataMask = DATA_MASKS[formatInfo.dataMask];\n const dimension = matrix.height;\n\n const functionPatternMask = buildFunctionPatternMask(version);\n\n const codewords: number[] = [];\n let currentByte = 0;\n let bitsRead = 0;\n\n // Read columns in pairs, from right to left\n let readingUp = true;\n for (let columnIndex = dimension - 1; columnIndex > 0; columnIndex -= 2) {\n if (columnIndex === 6) { // Skip whole column with vertical alignment pattern;\n columnIndex--;\n }\n for (let i = 0; i < dimension; i++) {\n const y = readingUp ? dimension - 1 - i : i;\n for (let columnOffset = 0; columnOffset < 2; columnOffset++) {\n const x = columnIndex - columnOffset;\n if (!functionPatternMask.get(x, y)) {\n bitsRead++;\n let bit = matrix.get(x, y);\n if (dataMask({y, x})) {\n bit = !bit;\n }\n currentByte = pushBit(bit, currentByte);\n if (bitsRead === 8) { // Whole bytes\n codewords.push(currentByte);\n bitsRead = 0;\n currentByte = 0;\n }\n }\n }\n }\n readingUp = !readingUp;\n }\n return codewords;\n}\n\nfunction readVersion(matrix: BitMatrix): Version {\n const dimension = matrix.height;\n\n const provisionalVersion = Math.floor((dimension - 17) / 4);\n if (provisionalVersion <= 6) { // 6 and under dont have version info in the QR code\n return VERSIONS[provisionalVersion - 1];\n }\n\n let topRightVersionBits = 0;\n for (let y = 5; y >= 0; y--) {\n for (let x = dimension - 9; x >= dimension - 11; x--) {\n topRightVersionBits = pushBit(matrix.get(x, y), topRightVersionBits);\n }\n }\n\n let bottomLeftVersionBits = 0;\n for (let x = 5; x >= 0; x--) {\n for (let y = dimension - 9; y >= dimension - 11; y--) {\n bottomLeftVersionBits = pushBit(matrix.get(x, y), bottomLeftVersionBits);\n }\n }\n\n let bestDifference = Infinity;\n let bestVersion: Version;\n for (const version of VERSIONS) {\n if (version.infoBits === topRightVersionBits || version.infoBits === bottomLeftVersionBits) {\n return version;\n }\n\n let difference = numBitsDiffering(topRightVersionBits, version.infoBits);\n if (difference < bestDifference) {\n bestVersion = version;\n bestDifference = difference;\n }\n\n difference = numBitsDiffering(bottomLeftVersionBits, version.infoBits);\n if (difference < bestDifference) {\n bestVersion = version;\n bestDifference = difference;\n }\n }\n // We can tolerate up to 3 bits of error since no two version info codewords will\n // differ in less than 8 bits.\n if (bestDifference <= 3) {\n return bestVersion;\n }\n}\n\nfunction readFormatInformation(matrix: BitMatrix) {\n let topLeftFormatInfoBits = 0;\n for (let x = 0; x <= 8; x++) {\n if (x !== 6) { // Skip timing pattern bit\n topLeftFormatInfoBits = pushBit(matrix.get(x, 8), topLeftFormatInfoBits);\n }\n }\n for (let y = 7; y >= 0; y--) {\n if (y !== 6) { // Skip timing pattern bit\n topLeftFormatInfoBits = pushBit(matrix.get(8, y), topLeftFormatInfoBits);\n }\n }\n\n const dimension = matrix.height;\n let topRightBottomRightFormatInfoBits = 0;\n for (let y = dimension - 1; y >= dimension - 7; y--) { // bottom left\n topRightBottomRightFormatInfoBits = pushBit(matrix.get(8, y), topRightBottomRightFormatInfoBits);\n }\n for (let x = dimension - 8; x < dimension; x++) { // top right\n topRightBottomRightFormatInfoBits = pushBit(matrix.get(x, 8), topRightBottomRightFormatInfoBits);\n }\n\n let bestDifference = Infinity;\n let bestFormatInfo = null;\n for (const {bits, formatInfo} of FORMAT_INFO_TABLE) {\n if (bits === topLeftFormatInfoBits || bits === topRightBottomRightFormatInfoBits) {\n return formatInfo;\n }\n let difference = numBitsDiffering(topLeftFormatInfoBits, bits);\n if (difference < bestDifference) {\n bestFormatInfo = formatInfo;\n bestDifference = difference;\n }\n if (topLeftFormatInfoBits !== topRightBottomRightFormatInfoBits) { // also try the other option\n difference = numBitsDiffering(topRightBottomRightFormatInfoBits, bits);\n if (difference < bestDifference) {\n bestFormatInfo = formatInfo;\n bestDifference = difference;\n }\n }\n }\n // Hamming distance of the 32 masked codes is 7, by construction, so <= 3 bits differing means we found a match\n if (bestDifference <= 3) {\n return bestFormatInfo;\n }\n return null;\n}\n\nfunction getDataBlocks(codewords: number[], version: Version, ecLevel: number) {\n const ecInfo = version.errorCorrectionLevels[ecLevel];\n const dataBlocks: Array<{\n numDataCodewords: number;\n codewords: number[];\n }> = [];\n\n let totalCodewords = 0;\n ecInfo.ecBlocks.forEach(block => {\n for (let i = 0; i < block.numBlocks; i++) {\n dataBlocks.push({ numDataCodewords: block.dataCodewordsPerBlock, codewords: [] });\n totalCodewords += block.dataCodewordsPerBlock + ecInfo.ecCodewordsPerBlock;\n }\n });\n\n // In some cases the QR code will be malformed enough that we pull off more or less than we should.\n // If we pull off less there's nothing we can do.\n // If we pull off more we can safely truncate\n if (codewords.length < totalCodewords) {\n return null;\n }\n codewords = codewords.slice(0, totalCodewords);\n\n const shortBlockSize = ecInfo.ecBlocks[0].dataCodewordsPerBlock;\n // Pull codewords to fill the blocks up to the minimum size\n for (let i = 0; i < shortBlockSize; i++) {\n for (const dataBlock of dataBlocks) {\n dataBlock.codewords.push(codewords.shift());\n }\n }\n\n // If there are any large blocks, pull codewords to fill the last element of those\n if (ecInfo.ecBlocks.length > 1) {\n const smallBlockCount = ecInfo.ecBlocks[0].numBlocks;\n const largeBlockCount = ecInfo.ecBlocks[1].numBlocks;\n for (let i = 0; i < largeBlockCount; i++) {\n dataBlocks[smallBlockCount + i].codewords.push(codewords.shift());\n }\n }\n\n // Add the rest of the codewords to the blocks. These are the error correction codewords.\n while (codewords.length > 0) {\n for (const dataBlock of dataBlocks) {\n dataBlock.codewords.push(codewords.shift());\n }\n }\n\n return dataBlocks;\n}\n\nfunction decodeMatrix(matrix: BitMatrix) {\n const version = readVersion(matrix);\n if (!version) {\n return null;\n }\n\n const formatInfo = readFormatInformation(matrix);\n if (!formatInfo) {\n return null;\n }\n\n const codewords = readCodewords(matrix, version, formatInfo);\n const dataBlocks = getDataBlocks(codewords, version, formatInfo.errorCorrectionLevel);\n if (!dataBlocks) {\n return null;\n }\n\n // Count total number of data bytes\n const totalBytes = dataBlocks.reduce((a, b) => a + b.numDataCodewords, 0);\n const resultBytes = new Uint8ClampedArray(totalBytes);\n\n let resultIndex = 0;\n for (const dataBlock of dataBlocks) {\n const correctedBytes = rsDecode(dataBlock.codewords, dataBlock.codewords.length - dataBlock.numDataCodewords);\n if (!correctedBytes) {\n return null;\n }\n for (let i = 0; i < dataBlock.numDataCodewords; i++) {\n resultBytes[resultIndex++] = correctedBytes[i];\n }\n }\n\n try {\n return decodeData(resultBytes, version.versionNumber);\n } catch {\n return null;\n }\n}\n\nexport function decode(matrix: BitMatrix): DecodedQR {\n if (matrix == null) {\n return null;\n }\n const result = decodeMatrix(matrix);\n if (result) {\n return result;\n }\n // Decoding didn't work, try mirroring the QR across the topLeft -> bottomRight line.\n for (let x = 0; x < matrix.width; x++) {\n for (let y = x + 1; y < matrix.height; y++) {\n if (matrix.get(x, y) !== matrix.get(y, x)) {\n matrix.set(x, y, !matrix.get(x, y));\n matrix.set(y, x, !matrix.get(y, x));\n }\n }\n }\n return decodeMatrix(matrix);\n}\n","import {BitMatrix} from \"../BitMatrix\";\nimport {Point, QRLocation} from \"../locator\";\n\ninterface PerspectiveTransform {\n a11: number;\n a21: number;\n a31: number;\n a12: number;\n a22: number;\n a32: number;\n a13: number;\n a23: number;\n a33: number;\n}\n\nfunction squareToQuadrilateral(p1: Point, p2: Point, p3: Point, p4: Point): PerspectiveTransform {\n const dx3 = p1.x - p2.x + p3.x - p4.x;\n const dy3 = p1.y - p2.y + p3.y - p4.y;\n if (dx3 === 0 && dy3 === 0) { // Affine\n return {\n a11: p2.x - p1.x,\n a12: p2.y - p1.y,\n a13: 0,\n a21: p3.x - p2.x,\n a22: p3.y - p2.y,\n a23: 0,\n a31: p1.x,\n a32: p1.y,\n a33: 1,\n };\n } else {\n const dx1 = p2.x - p3.x;\n const dx2 = p4.x - p3.x;\n const dy1 = p2.y - p3.y;\n const dy2 = p4.y - p3.y;\n const denominator = dx1 * dy2 - dx2 * dy1;\n const a13 = (dx3 * dy2 - dx2 * dy3) / denominator;\n const a23 = (dx1 * dy3 - dx3 * dy1) / denominator;\n return {\n a11: p2.x - p1.x + a13 * p2.x,\n a12: p2.y - p1.y + a13 * p2.y,\n a13,\n a21: p4.x - p1.x + a23 * p4.x,\n a22: p4.y - p1.y + a23 * p4.y,\n a23,\n a31: p1.x,\n a32: p1.y,\n a33: 1,\n };\n }\n}\n\nfunction quadrilateralToSquare(p1: Point, p2: Point, p3: Point, p4: Point): PerspectiveTransform {\n // Here, the adjoint serves as the inverse:\n const sToQ = squareToQuadrilateral(p1, p2, p3, p4);\n return {\n a11: sToQ.a22 * sToQ.a33 - sToQ.a23 * sToQ.a32,\n a12: sToQ.a13 * sToQ.a32 - sToQ.a12 * sToQ.a33,\n a13: sToQ.a12 * sToQ.a23 - sToQ.a13 * sToQ.a22,\n a21: sToQ.a23 * sToQ.a31 - sToQ.a21 * sToQ.a33,\n a22: sToQ.a11 * sToQ.a33 - sToQ.a13 * sToQ.a31,\n a23: sToQ.a13 * sToQ.a21 - sToQ.a11 * sToQ.a23,\n a31: sToQ.a21 * sToQ.a32 - sToQ.a22 * sToQ.a31,\n a32: sToQ.a12 * sToQ.a31 - sToQ.a11 * sToQ.a32,\n a33: sToQ.a11 * sToQ.a22 - sToQ.a12 * sToQ.a21,\n };\n}\n\nfunction times(a: PerspectiveTransform, b: PerspectiveTransform): PerspectiveTransform {\n return {\n a11: a.a11 * b.a11 + a.a21 * b.a12 + a.a31 * b.a13,\n a12: a.a12 * b.a11 + a.a22 * b.a12 + a.a32 * b.a13,\n a13: a.a13 * b.a11 + a.a23 * b.a12 + a.a33 * b.a13,\n a21: a.a11 * b.a21 + a.a21 * b.a22 + a.a31 * b.a23,\n a22: a.a12 * b.a21 + a.a22 * b.a22 + a.a32 * b.a23,\n a23: a.a13 * b.a21 + a.a23 * b.a22 + a.a33 * b.a23,\n a31: a.a11 * b.a31 + a.a21 * b.a32 + a.a31 * b.a33,\n a32: a.a12 * b.a31 + a.a22 * b.a32 + a.a32 * b.a33,\n a33: a.a13 * b.a31 + a.a23 * b.a32 + a.a33 * b.a33,\n };\n}\n\nexport function extract(image: BitMatrix, location: QRLocation) {\n const qToS = quadrilateralToSquare(\n {x: 3.5, y: 3.5},\n {x: location.dimension - 3.5, y: 3.5},\n {x: location.dimension - 6.5, y: location.dimension - 6.5},\n {x: 3.5, y: location.dimension - 3.5},\n );\n const sToQ = squareToQuadrilateral(location.topLeft, location.topRight, location.alignmentPattern, location.bottomLeft);\n const transform = times(sToQ, qToS);\n\n const matrix = BitMatrix.createEmpty(location.dimension, location.dimension);\n const mappingFunction = (x: number, y: number) => {\n const denominator = transform.a13 * x + transform.a23 * y + transform.a33;\n return {\n x: (transform.a11 * x + transform.a21 * y + transform.a31) / denominator,\n y: (transform.a12 * x + transform.a22 * y + transform.a32) / denominator,\n };\n };\n\n for (let y = 0; y < location.dimension; y++) {\n for (let x = 0; x < location.dimension; x++) {\n const xValue = x + 0.5;\n const yValue = y + 0.5;\n const sourcePixel = mappingFunction(xValue, yValue);\n matrix.set(x, y, image.get(Math.floor(sourcePixel.x), Math.floor(sourcePixel.y)));\n }\n }\n\n return {\n matrix,\n mappingFunction,\n };\n}\n","import { BitMatrix } from \"../BitMatrix\";\n\nconst MAX_FINDERPATTERNS_TO_SEARCH = 5;\nconst MIN_QUAD_RATIO = 0.5;\nconst MAX_QUAD_RATIO = 1.5;\n\nexport interface Point {\n x: number;\n y: number;\n}\n\nexport interface QRLocation {\n topRight: Point;\n bottomLeft: Point;\n topLeft: Point;\n alignmentPattern: Point;\n dimension: number;\n}\n\nconst distance = (a: Point, b: Point) => Math.sqrt((b.x - a.x) ** 2 + (b.y - a.y) ** 2);\n\nfunction sum(values: number[]) {\n return values.reduce((a, b) => a + b);\n}\n\n// Takes three finder patterns and organizes them into topLeft, topRight, etc\nfunction reorderFinderPatterns(pattern1: Point, pattern2: Point, pattern3: Point) {\n // Find distances between pattern centers\n const oneTwoDistance = distance(pattern1, pattern2);\n const twoThreeDistance = distance(pattern2, pattern3);\n const oneThreeDistance = distance(pattern1, pattern3);\n\n let bottomLeft: Point;\n let topLeft: Point;\n let topRight: Point;\n\n // Assume one closest to other two is B; A and C will just be guesses at first\n if (twoThreeDistance >= oneTwoDistance && twoThreeDistance >= oneThreeDistance) {\n [bottomLeft, topLeft, topRight] = [pattern2, pattern1, pattern3];\n } else if (oneThreeDistance >= twoThreeDistance && oneThreeDistance >= oneTwoDistance) {\n [bottomLeft, topLeft, topRight] = [pattern1, pattern2, pattern3];\n } else {\n [bottomLeft, topLeft, topRight] = [pattern1, pattern3, pattern2];\n }\n\n // Use cross product to figure out whether bottomLeft (A) and topRight (C) are correct or flipped in relation to topLeft (B)\n // This asks whether BC x BA has a positive z component, which is the arrangement we want. If it's negative, then\n // we've got it flipped around and should swap topRight and bottomLeft.\n if (((topRight.x - topLeft.x) * (bottomLeft.y - topLeft.y)) - ((topRight.y - topLeft.y) * (bottomLeft.x - topLeft.x)) < 0) {\n [bottomLeft, topRight] = [topRight, bottomLeft];\n }\n\n return { bottomLeft, topLeft, topRight };\n}\n\n// Computes the dimension (number of modules on a side) of the QR Code based on the position of the finder patterns\nfunction computeDimension(topLeft: Point, topRight: Point, bottomLeft: Point, matrix: BitMatrix) {\n const moduleSize = (\n sum(countBlackWhiteRun(topLeft, bottomLeft, matrix, 5)) / 7 + // Divide by 7 since the ratio is 1:1:3:1:1\n sum(countBlackWhiteRun(topLeft, topRight, matrix, 5)) / 7 +\n sum(countBlackWhiteRun(bottomLeft, topLeft, matrix, 5)) / 7 +\n sum(countBlackWhiteRun(topRight, topLeft, matrix, 5)) / 7\n ) / 4;\n\n if (moduleSize < 1) {\n throw new Error(\"Invalid module size\");\n }\n\n const topDimension = Math.round(distance(topLeft, topRight) / moduleSize);\n const sideDimension = Math.round(distance(topLeft, bottomLeft) / moduleSize);\n let dimension = Math.floor((topDimension + sideDimension) / 2) + 7;\n switch (dimension % 4) {\n case 0:\n dimension++;\n break;\n case 2:\n dimension--;\n break;\n }\n return { dimension, moduleSize };\n}\n\n// Takes an origin point and an end point and counts the sizes of the black white run from the origin towards the end point.\n// Returns an array of elements, representing the pixel size of the black white run.\n// Uses a variant of http://en.wikipedia.org/wiki/Bresenham's_line_algorithm\nfunction countBlackWhiteRunTowardsPoint(origin: Point, end: Point, matrix: BitMatrix, length: number) {\n const switchPoints: Point[] = [{x: Math.floor(origin.x), y: Math.floor(origin.y)}];\n const steep = Math.abs(end.y - origin.y) > Math.abs(end.x - origin.x);\n\n let fromX: number;\n let fromY: number;\n let toX: number;\n let toY: number;\n if (steep) {\n fromX = Math.floor(origin.y);\n fromY = Math.floor(origin.x);\n toX = Math.floor(end.y);\n toY = Math.floor(end.x);\n } else {\n fromX = Math.floor(origin.x);\n fromY = Math.floor(origin.y);\n toX = Math.floor(end.x);\n toY = Math.floor(end.y);\n }\n\n const dx = Math.abs(toX - fromX);\n const dy = Math.abs(toY - fromY);\n let error = Math.floor(-dx / 2);\n const xStep = fromX < toX ? 1 : -1;\n const yStep = fromY < toY ? 1 : -1;\n\n let currentPixel = true;\n // Loop up until x == toX, but not beyond\n for (let x = fromX, y = fromY; x !== toX + xStep; x += xStep) {\n // Does current pixel mean we have moved white to black or vice versa?\n // Scanning black in state 0,2 and white in state 1, so if we find the wrong\n // color, advance to next state or end if we are in state 2 already\n const realX = steep ? y : x;\n const realY = steep ? x : y;\n if (matrix.get(realX, realY) !== currentPixel) {\n currentPixel = !currentPixel;\n switchPoints.push({x: realX, y: realY});\n if (switchPoints.length === length + 1) {\n break;\n }\n }\n error += dy;\n if (error > 0) {\n if (y === toY) {\n break;\n }\n y += yStep;\n error -= dx;\n }\n }\n const distances: number[] = [];\n for (let i = 0; i < length; i++) {\n if (switchPoints[i] && switchPoints[i + 1]) {\n distances.push(distance(switchPoints[i], switchPoints[i + 1]));\n } else {\n distances.push(0);\n }\n }\n return distances;\n}\n\n// Takes an origin point and an end point and counts the sizes of the black white run in the origin point\n// along the line that intersects with the end point. Returns an array of elements, representing the pixel sizes\n// of the black white run. Takes a length which represents the number of switches from black to white to look for.\nfunction countBlackWhiteRun(origin: Point, end: Point, matrix: BitMatrix, length: number) {\n const rise = end.y - origin.y;\n const run = end.x - origin.x;\n\n const towardsEnd = countBlackWhiteRunTowardsPoint(origin, end, matrix, Math.ceil(length / 2));\n const awayFromEnd = countBlackWhiteRunTowardsPoint(origin, {x: origin.x - run, y: origin.y - rise}, matrix, Math.ceil(length / 2));\n\n const middleValue = towardsEnd.shift() + awayFromEnd.shift() - 1; // Substract one so we don't double count a pixel\n return awayFromEnd.concat(middleValue).concat(...towardsEnd);\n}\n\n// Takes in a black white run and an array of expected ratios. Returns the average size of the run as well as the \"error\" -\n// that is the amount the run diverges from the expected ratio\nfunction scoreBlackWhiteRun(sequence: number[], ratios: number[]) {\n const averageSize = sum(sequence) / sum(ratios);\n let error = 0;\n ratios.forEach((ratio, i) => {\n error += (sequence[i] - ratio * averageSize) ** 2;\n });\n\n return { averageSize, error };\n}\n\n// Takes an X,Y point and an array of sizes and scores the point against those ratios.\n// For example for a finder pattern takes the ratio list of 1:1:3:1:1 and checks horizontal, vertical and diagonal ratios\n// against that.\nfunction scorePattern(point: Point, ratios: number[], matrix: BitMatrix) {\n try {\n const horizontalRun = countBlackWhiteRun(point, {x: -1, y: point.y}, matrix, ratios.length);\n const verticalRun = countBlackWhiteRun(point, {x: point.x, y: -1}, matrix, ratios.length);\n\n const topLeftPoint = {\n x: Math.max(0, point.x - point.y) - 1,\n y: Math.max(0, point.y - point.x) - 1,\n };\n const topLeftBottomRightRun = countBlackWhiteRun(point, topLeftPoint, matrix, ratios.length);\n\n const bottomLeftPoint = {\n x: Math.min(matrix.width, point.x + point.y) + 1,\n y: Math.min(matrix.height, point.y + point.x) + 1,\n };\n const bottomLeftTopRightRun = countBlackWhiteRun(point, bottomLeftPoint, matrix, ratios.length);\n\n const horzError = scoreBlackWhiteRun(horizontalRun, ratios);\n const vertError = scoreBlackWhiteRun(verticalRun, ratios);\n const diagDownError = scoreBlackWhiteRun(topLeftBottomRightRun, ratios);\n const diagUpError = scoreBlackWhiteRun(bottomLeftTopRightRun, ratios);\n\n const ratioError = Math.sqrt(horzError.error * horzError.error +\n vertError.error * vertError.error +\n diagDownError.error * diagDownError.error +\n diagUpError.error * diagUpError.error);\n\n const avgSize = (horzError.averageSize + vertError.averageSize + diagDownError.averageSize + diagUpError.averageSize) / 4;\n\n const sizeError = ((horzError.averageSize - avgSize) ** 2 +\n (vertError.averageSize - avgSize) ** 2 +\n (diagDownError.averageSize - avgSize) ** 2 +\n (diagUpError.averageSize - avgSize) ** 2) / avgSize;\n return ratioError + sizeError;\n } catch {\n return Infinity;\n }\n}\n\nfunction recenterLocation(matrix: BitMatrix, p: Point): Point {\n let leftX = Math.round(p.x);\n while (matrix.get(leftX, Math.round(p.y))) {\n leftX--;\n }\n let rightX = Math.round(p.x);\n while (matrix.get(rightX, Math.round(p.y))) {\n rightX++;\n }\n const x = (leftX + rightX) / 2;\n\n let topY = Math.round(p.y);\n while (matrix.get(Math.round(x), topY)) {\n topY--;\n }\n let bottomY = Math.round(p.y);\n while (matrix.get(Math.round(x), bottomY)) {\n bottomY++;\n }\n const y = (topY + bottomY) / 2;\n\n return { x, y };\n}\n\ninterface Quad {\n top: {\n startX: number;\n endX: number;\n y: number;\n };\n bottom: {\n startX: number;\n endX: number;\n y: number;\n };\n}\n\nexport function locate(matrix: BitMatrix): QRLocation[] {\n const finderPatternQuads: Quad[] = [];\n let activeFinderPatternQuads: Quad[] = [];\n const alignmentPatternQuads: Quad[] = [];\n let activeAlignmentPatternQuads: Quad[] = [];\n\n for (let y = 0; y <= matrix.height; y++) {\n let length = 0;\n let lastBit = false;\n let scans = [0, 0, 0, 0, 0];\n\n for (let x = -1; x <= matrix.width; x++) {\n const v = matrix.get(x, y);\n if (v === lastBit) {\n length++;\n } else {\n scans = [scans[1], scans[2], scans[3], scans[4], length];\n length = 1;\n lastBit = v;\n\n // Do the last 5 color changes ~ match the expected ratio for a finder pattern? 1:1:3:1:1 of b:w:b:w:b\n const averageFinderPatternBlocksize = sum(scans) / 7;\n const validFinderPattern =\n Math.abs(scans[0] - averageFinderPatternBlocksize) < averageFinderPatternBlocksize &&\n Math.abs(scans[1] - averageFinderPatternBlocksize) < averageFinderPatternBlocksize &&\n Math.abs(scans[2] - 3 * averageFinderPatternBlocksize) < 3 * averageFinderPatternBlocksize &&\n Math.abs(scans[3] - averageFinderPatternBlocksize) < averageFinderPatternBlocksize &&\n Math.abs(scans[4] - averageFinderPatternBlocksize) < averageFinderPatternBlocksize &&\n !v; // And make sure the current pixel is white since finder patterns are bordered in white\n\n // Do the last 3 color changes ~ match the expected ratio for an alignment pattern? 1:1:1 of w:b:w\n const averageAlignmentPatternBlocksize = sum(scans.slice(-3)) / 3;\n const validAlignmentPattern =\n Math.abs(scans[2] - averageAlignmentPatternBlocksize) < averageAlignmentPatternBlocksize &&\n Math.abs(scans[3] - averageAlignmentPatternBlocksize) < averageAlignmentPatternBlocksize &&\n Math.abs(scans[4] - averageAlignmentPatternBlocksize) < averageAlignmentPatternBlocksize &&\n v; // Is the current pixel black since alignment patterns are bordered in black\n\n if (validFinderPattern) {\n // Compute the start and end x values of the large center black square\n const endX = x - scans[3] - scans[4];\n const startX = endX - scans[2];\n\n const line = { startX, endX, y };\n // Is there a quad directly above the current spot? If so, extend it with the new line. Otherwise, create a new quad with\n // that line as the starting point.\n const matchingQuads = activeFinderPatternQuads.filter(q =>\n (startX >= q.bottom.startX && startX <= q.bottom.endX) ||\n (endX >= q.bottom.startX && startX <= q.bottom.endX) ||\n (startX <= q.bottom.startX && endX >= q.bottom.endX && (\n (scans[2] / (q.bottom.endX - q.bottom.startX)) < MAX_QUAD_RATIO &&\n (scans[2] / (q.bottom.endX - q.bottom.startX)) > MIN_QUAD_RATIO\n )),\n );\n if (matchingQuads.length > 0) {\n matchingQuads[0].bottom = line;\n } else {\n activeFinderPatternQuads.push({ top: line, bottom: line });\n }\n }\n if (validAlignmentPattern) {\n // Compute the start and end x values of the center black square\n const endX = x - scans[4];\n const startX = endX - scans[3];\n\n const line = { startX, y, endX };\n // Is there a quad directly above the current spot? If so, extend it with the new line. Otherwise, create a new quad with\n // that line as the starting point.\n const matchingQuads = activeAlignmentPatternQuads.filter(q =>\n (startX >= q.bottom.startX && startX <= q.bottom.endX) ||\n (endX >= q.bottom.startX && startX <= q.bottom.endX) ||\n (startX <= q.bottom.startX && endX >= q.bottom.endX && (\n (scans[2] / (q.bottom.endX - q.bottom.startX)) < MAX_QUAD_RATIO &&\n (scans[2] / (q.bottom.endX - q.bottom.startX)) > MIN_QUAD_RATIO\n )),\n );\n if (matchingQuads.length > 0) {\n matchingQuads[0].bottom = line;\n } else {\n activeAlignmentPatternQuads.push({ top: line, bottom: line });\n }\n }\n }\n }\n finderPatternQuads.push(...activeFinderPatternQuads.filter(q => q.bottom.y !== y && q.bottom.y - q.top.y >= 2));\n activeFinderPatternQuads = activeFinderPatternQuads.filter(q => q.bottom.y === y);\n\n alignmentPatternQuads.push(...activeAlignmentPatternQuads.filter(q => q.bottom.y !== y));\n activeAlignmentPatternQuads = activeAlignmentPatternQuads.filter(q => q.bottom.y === y);\n\n }\n\n finderPatternQuads.push(...activeFinderPatternQuads.filter(q => q.bottom.y - q.top.y >= 2));\n alignmentPatternQuads.push(...activeAlignmentPatternQuads);\n\n // Refactored from cozmo/jsQR to (hopefully) circumvent an issue in Safari 13+ on both Mac and iOS (also including\n // iOS Chrome and other Safari iOS derivatives). Safari was very occasionally and apparently not deterministically\n // throwing a \"RangeError: Array size is not a small enough positive integer.\" exception seemingly within the second\n // .map of the original code (here the second for-loop). This second .map contained a nested .map call over the same\n // array instance which was the chained result from previous calls to .map, .filter and .sort which potentially caused\n // this bug in Safari?\n // Also see https://github.com/cozmo/jsQR/issues/157 and https://bugs.webkit.org/show_bug.cgi?id=211619#c3\n const scoredFinderPatternPositions: Array<Point & { size: number, score: number }> = [];\n for (const quad of finderPatternQuads) {\n if (quad.bottom.y - quad.top.y < 2) {\n // All quads must be at least 2px tall since the center square is larger than a block\n continue;\n }\n\n // calculate quad center\n const x = (quad.top.startX + quad.top.endX + quad.bottom.startX + quad.bottom.endX) / 4;\n const y = (quad.top.y + quad.bottom.y + 1) / 2;\n if (!matrix.get(Math.round(x), Math.round(y))) {\n continue;\n }\n\n const lengths = [quad.top.endX - quad.top.startX, quad.bottom.endX - quad.bottom.startX, quad.bottom.y - quad.top.y + 1];\n const size = sum(lengths) / lengths.length;\n // Initial scoring of finder pattern quads by looking at their ratios, not taking into account position\n const score = scorePattern({x: Math.round(x), y: Math.round(y)}, [1, 1, 3, 1, 1], matrix);\n scoredFinderPatternPositions.push({ score, x, y, size });\n }\n if (scoredFinderPatternPositions.length < 3) {\n // A QR code has 3 finder patterns, therefore we need at least 3 candidates.\n return null;\n }\n scoredFinderPatternPositions.sort((a, b) => a.score - b.score);\n\n // Now take the top finder pattern options and try to find 2 other options with a similar size.\n const finderPatternGroups: Array<{ points: [Point, Point, Point], score: number }> = [];\n for (let i = 0; i < Math.min(scoredFinderPatternPositions.length, MAX_FINDERPATTERNS_TO_SEARCH); ++i) {\n const point = scoredFinderPatternPositions[i];\n const otherPoints: typeof scoredFinderPatternPositions = [];\n\n for (const otherPoint of scoredFinderPatternPositions) {\n if (otherPoint === point) {\n continue;\n }\n otherPoints.push({\n ...otherPoint,\n score: otherPoint.score + ((otherPoint.size - point.size) ** 2) / point.size, // score similarity of sizes\n });\n }\n otherPoints.sort((a, b) => a.score - b.score);\n\n finderPatternGroups.push({\n points: [point, otherPoints[0], otherPoints[1]], // note that otherPoints.length >= 2 as scoredFinderPatternPositions.length >= 3\n score: point.score + otherPoints[0].score + otherPoints[1].score, // total combined score of the three points in the group\n });\n }\n finderPatternGroups.sort((a, b) => a.score - b.score);\n const bestFinderPatternGroup = finderPatternGroups[0];\n\n const { topRight, topLeft, bottomLeft } = reorderFinderPatterns(...bestFinderPatternGroup.points);\n const alignment = findAlignmentPattern(matrix, alignmentPatternQuads, topRight, topLeft, bottomLeft);\n const result: QRLocation[] = [];\n if (alignment) {\n result.push({\n alignmentPattern: { x: alignment.alignmentPattern.x, y: alignment.alignmentPattern.y },\n bottomLeft: {x: bottomLeft.x, y: bottomLeft.y },\n dimension: alignment.dimension,\n topLeft: {x: topLeft.x, y: topLeft.y },\n topRight: {x: topRight.x, y: topRight.y },\n });\n }\n\n // We normally use the center of the quads as the location of the tracking points, which is optimal for most cases and will account\n // for a skew in the image. However, In some cases, a slight skew might not be real and instead be caused by image compression\n // errors and/or low resolution. For those cases, we'd be better off centering the point exactly in the middle of the black area. We\n // compute and return the location data for the naively centered points as it is little additional work and allows for multiple\n // attempts at decoding harder images.\n const midTopRight = recenterLocation(matrix, topRight);\n const midTopLeft = recenterLocation(matrix, topLeft);\n const midBottomLeft = recenterLocation(matrix, bottomLeft);\n const centeredAlignment = findAlignmentPattern(matrix, alignmentPatternQuads, midTopRight, midTopLeft, midBottomLeft);\n if (centeredAlignment) {\n result.push({\n alignmentPattern: { x: centeredAlignment.alignmentPattern.x, y: centeredAlignment.alignmentPattern.y },\n bottomLeft: { x: midBottomLeft.x, y: midBottomLeft. y },\n topLeft: { x: midTopLeft.x, y: midTopLeft. y },\n topRight: { x: midTopRight.x, y: midTopRight. y },\n dimension: centeredAlignment.dimension,\n });\n }\n\n if (result.length === 0) {\n return null;\n }\n\n return result;\n}\n\nfunction findAlignmentPattern(matrix: BitMatrix, alignmentPatternQuads: Quad[], topRight: Point, topLeft: Point, bottomLeft: Point) {\n // Now that we've found the three finder patterns we can determine the blockSize and the size of the QR code.\n // We'll use these to help find the alignment pattern but also later when we do the extraction.\n let dimension: number;\n let moduleSize: number;\n try {\n ({ dimension, moduleSize } = computeDimension(topLeft, topRight, bottomLeft, matrix));\n } catch (e) {\n return null;\n }\n\n // Now find the alignment pattern\n const bottomRightFinderPattern = { // Best guess at where a bottomRight finder pattern would be\n x: topRight.x - topLeft.x + bottomLeft.x,\n y: topRight.y - topLeft.y + bottomLeft.y,\n };\n const modulesBetweenFinderPatterns = ((distance(topLeft, bottomLeft) + distance(topLeft, topRight)) / 2 / moduleSize);\n const correctionToTopLeft = 1 - (3 / modulesBetweenFinderPatterns);\n const expectedAlignmentPattern = {\n x: topLeft.x + correctionToTopLeft * (bottomRightFinderPattern.x - topLeft.x),\n y: topLeft.y + 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(options.inversionAttempts === \"attemptBoth\" || options.inversionAttempts === \"invertFirst\")) {\n result = scan(tryInvertedFirst ? binarized : inverted);\n }\n return result;\n}\n\n(jsQR as any).default = jsQR;\nexport default jsQR;\n","// @ts-ignore jsqr-es6 does not provide types currently\nimport jsQR from '../node_modules/jsqr-es6/dist/jsQR.js';\n\ntype GrayscaleWeights = {\n red: number,\n green: number,\n blue: number,\n useIntegerApproximation: boolean,\n};\n\nlet inversionAttempts: 'dontInvert' | 'onlyInvert' | 'attemptBoth' = 'dontInvert';\nlet grayscaleWeights: GrayscaleWeights = {\n // weights for quick luma integer approximation (https://en.wikipedia.org/wiki/YUV#Full_swing_for_BT.601)\n red: 77,\n green: 150,\n blue: 29,\n useIntegerApproximation: true,\n};\n\nself.onmessage = event => {\n const id = event['data']['id'];\n const type = event['data']['type'];\n const data = event['data']['data'];\n\n switch (type) {\n case 'decode':\n decode(data, id);\n break;\n case 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