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pow(value / e + 0.052132, 2.4) : value / d;\n\nconst linearTosRGB = (v) =>\n    ~~(v > 0.00001227 ? e * pow(v, 0.416666) - 13.025 : v * d + 1);\n\nconst signSqr = (x) => (x < 0 ? -1 : 1) * x * x;\n\n/**\n * Fast approximate cosine implementation\n * Based on FTrig https://github.com/netcell/FTrig\n */\nconst fastCos = (x) => {\n    x += PI / 2;\n    while (x > PI) {\n        x -= PI2;\n    }\n    const cos = 1.27323954 * x - 0.405284735 * signSqr(x);\n    return 0.225 * (signSqr(cos) - cos) + cos;\n};\n\n/**\n * Extracts average color from BlurHash image\n * @param {string} blurHash BlurHash image string\n * @returns {[number, number, number]}\n */\nexport function getBlurHashAverageColor(blurHash) {\n    const val = decode83(blurHash, 2, 6);\n    return [val >> 16, (val >> 8) & 255, val & 255];\n}\n\n/**\n * Decodes BlurHash image\n * @param {string} blurHash BlurHash image string\n * @param {number} width Output image width\n * @param {number} height Output image height\n * @param {?number} punch\n * @returns {Uint8ClampedArray}\n */\nexport function decodeBlurHash(blurHash, width, height, punch) {\n    const sizeFlag = decode83(blurHash, 0, 1);\n    const numX = (sizeFlag % 9) + 1;\n    const numY = ~~(sizeFlag / 9) + 1;\n    const size = numX * numY;\n\n    let i = 0,\n        j = 0,\n        x = 0,\n        y = 0,\n        r = 0,\n        g = 0,\n        b = 0,\n        basis = 0,\n        basisY = 0,\n        colorIndex = 0,\n        pixelIndex = 0,\n        value = 0;\n\n    const maximumValue = ((decode83(blurHash, 1, 2) + 1) / 13446) * (punch | 1);\n\n    const colors = new Float64Array(size * 3);\n\n    const averageColor = getBlurHashAverageColor(blurHash);\n    for (i = 0; i < 3; i++) {\n        colors[i] = sRGBToLinear(averageColor[i]);\n    }\n\n    for (i = 1; i < size; i++) {\n        value = decode83(blurHash, 4 + i * 2, 6 + i * 2);\n        colors[i * 3] = signSqr(~~(value / 361) - 9) * maximumValue;\n        colors[i * 3 + 1] = signSqr((~~(value / 19) % 19) - 9) * maximumValue;\n        colors[i * 3 + 2] = signSqr((value % 19) - 9) * maximumValue;\n    }\n\n    const cosinesY = new Float64Array(numY * height);\n    const cosinesX = new Float64Array(numX * width);\n    for (j = 0; j < numY; j++) {\n        for (y = 0; y < height; y++) {\n            cosinesY[j * height + y] = fastCos((PI * y * j) / height);\n        }\n    }\n    for (i = 0; i < numX; i++) {\n        for (x = 0; x < width; x++) {\n            cosinesX[i * width + x] = fastCos((PI * x * i) / width);\n        }\n    }\n\n    const bytesPerRow = width * 4;\n    const pixels = new Uint8ClampedArray(bytesPerRow * height);\n\n    for (y = 0; y < height; y++) {\n        for (x = 0; x < width; x++) {\n            r = g = b = 0;\n            for (j = 0; j < numY; j++) {\n                basisY = cosinesY[j * height + y];\n                for (i = 0; i < numX; i++) {\n                    basis = cosinesX[i * width + x] * basisY;\n                    colorIndex = (i + j * numX) * 3;\n                    r += colors[colorIndex] * basis;\n                    g += colors[colorIndex + 1] * basis;\n                    b += colors[colorIndex + 2] * basis;\n                }\n            }\n\n            pixelIndex = 4 * x + y * bytesPerRow;\n            pixels[pixelIndex] = linearTosRGB(r);\n            pixels[pixelIndex + 1] = linearTosRGB(g);\n            pixels[pixelIndex + 2] = linearTosRGB(b);\n            pixels[pixelIndex + 3] = 255; // alpha\n        }\n    }\n    return pixels;\n}\n","import { decodeBlurHash } from 'fast-blurhash';\n\nonmessage = (e) => {\n  const { hash, height, width } = e.data;\n\n  if (!hash || !height || !width) return;\n\n  const pixels = decodeBlurHash(hash, width, height);\n  const imageData = new ImageData(pixels, width, height);\n\n  postMessage({\n    imageData,\n    hash,\n    width,\n    height,\n  });\n};\n"],"names":["digitLookup","Uint8Array","i","charCodeAt","decode83","str","start","end","value","pow","Math","PI","PI2","d","e","sRGBToLinear","linearTosRGB","v","signSqr","x","fastCos","cos","getBlurHashAverageColor","blurHash","val","decodeBlurHash","width","height","punch","sizeFlag","numX","numY","size","j","y","r","g","b","basis","basisY","colorIndex","pixelIndex","maximumValue","colors","Float64Array","averageColor","cosinesY","cosinesX","bytesPerRow","pixels","Uint8ClampedArray","onmessage","hash","data","imageData","ImageData","postMessage"],"sourceRoot":""}