"use strict";
var __importDefault = (this && this.__importDefault) || function (mod) {
    return (mod && mod.__esModule) ? mod : { "default": mod };
};
Object.defineProperty(exports, "__esModule", { value: true });
/** @module geotiffimage */
const float16_1 = require("@petamoriken/float16");
const get_attribute_js_1 = __importDefault(require("xml-utils/get-attribute.js"));
const find_tags_by_name_js_1 = __importDefault(require("xml-utils/find-tags-by-name.js"));
const globals_js_1 = require("./globals.js");
const rgb_js_1 = require("./rgb.js");
const index_js_1 = require("./compression/index.js");
const resample_js_1 = require("./resample.js");
/**
 * @typedef {Object} ReadRasterOptions
 * @property {Array<number>} [window=whole window] the subset to read data from in pixels.
 * @property {Array<number>} [bbox=whole image] the subset to read data from in
 *                                           geographical coordinates.
 * @property {Array<number>} [samples=all samples] the selection of samples to read from. Default is all samples.
 * @property {boolean} [interleave=false] whether the data shall be read
 *                                             in one single array or separate
 *                                             arrays.
 * @property {Pool} [pool=null] The optional decoder pool to use.
 * @property {number} [width] The desired width of the output. When the width is not the
 *                                 same as the images, resampling will be performed.
 * @property {number} [height] The desired height of the output. When the width is not the
 *                                  same as the images, resampling will be performed.
 * @property {string} [resampleMethod='nearest'] The desired resampling method.
 * @property {AbortSignal} [signal] An AbortSignal that may be signalled if the request is
 *                                       to be aborted
 * @property {number|number[]} [fillValue] The value to use for parts of the image
 *                                              outside of the images extent. When multiple
 *                                              samples are requested, an array of fill values
 *                                              can be passed.
 */
/** @typedef {import("./geotiff.js").TypedArray} TypedArray */
/** @typedef {import("./geotiff.js").ReadRasterResult} ReadRasterResult */
function sum(array, start, end) {
    let s = 0;
    for (let i = start; i < end; ++i) {
        s += array[i];
    }
    return s;
}
function arrayForType(format, bitsPerSample, size) {
    switch (format) {
        case 1: // unsigned integer data
            if (bitsPerSample <= 8) {
                return new Uint8Array(size);
            }
            else if (bitsPerSample <= 16) {
                return new Uint16Array(size);
            }
            else if (bitsPerSample <= 32) {
                return new Uint32Array(size);
            }
            break;
        case 2: // twos complement signed integer data
            if (bitsPerSample === 8) {
                return new Int8Array(size);
            }
            else if (bitsPerSample === 16) {
                return new Int16Array(size);
            }
            else if (bitsPerSample === 32) {
                return new Int32Array(size);
            }
            break;
        case 3: // floating point data
            switch (bitsPerSample) {
                case 16:
                case 32:
                    return new Float32Array(size);
                case 64:
                    return new Float64Array(size);
                default:
                    break;
            }
            break;
        default:
            break;
    }
    throw Error('Unsupported data format/bitsPerSample');
}
function needsNormalization(format, bitsPerSample) {
    if ((format === 1 || format === 2) && bitsPerSample <= 32 && bitsPerSample % 8 === 0) {
        return false;
    }
    else if (format === 3 && (bitsPerSample === 16 || bitsPerSample === 32 || bitsPerSample === 64)) {
        return false;
    }
    return true;
}
function normalizeArray(inBuffer, format, planarConfiguration, samplesPerPixel, bitsPerSample, tileWidth, tileHeight) {
    // const inByteArray = new Uint8Array(inBuffer);
    const view = new DataView(inBuffer);
    const outSize = planarConfiguration === 2
        ? tileHeight * tileWidth
        : tileHeight * tileWidth * samplesPerPixel;
    const samplesToTransfer = planarConfiguration === 2
        ? 1 : samplesPerPixel;
    const outArray = arrayForType(format, bitsPerSample, outSize);
    // let pixel = 0;
    const bitMask = parseInt('1'.repeat(bitsPerSample), 2);
    if (format === 1) { // unsigned integer
        // translation of https://github.com/OSGeo/gdal/blob/master/gdal/frmts/gtiff/geotiff.cpp#L7337
        let pixelBitSkip;
        // let sampleBitOffset = 0;
        if (planarConfiguration === 1) {
            pixelBitSkip = samplesPerPixel * bitsPerSample;
            // sampleBitOffset = (samplesPerPixel - 1) * bitsPerSample;
        }
        else {
            pixelBitSkip = bitsPerSample;
        }
        // Bits per line rounds up to next byte boundary.
        let bitsPerLine = tileWidth * pixelBitSkip;
        if ((bitsPerLine & 7) !== 0) {
            bitsPerLine = (bitsPerLine + 7) & (~7);
        }
        for (let y = 0; y < tileHeight; ++y) {
            const lineBitOffset = y * bitsPerLine;
            for (let x = 0; x < tileWidth; ++x) {
                const pixelBitOffset = lineBitOffset + (x * samplesToTransfer * bitsPerSample);
                for (let i = 0; i < samplesToTransfer; ++i) {
                    const bitOffset = pixelBitOffset + (i * bitsPerSample);
                    const outIndex = (((y * tileWidth) + x) * samplesToTransfer) + i;
                    const byteOffset = Math.floor(bitOffset / 8);
                    const innerBitOffset = bitOffset % 8;
                    if (innerBitOffset + bitsPerSample <= 8) {
                        outArray[outIndex] = (view.getUint8(byteOffset) >> (8 - bitsPerSample) - innerBitOffset) & bitMask;
                    }
                    else if (innerBitOffset + bitsPerSample <= 16) {
                        outArray[outIndex] = (view.getUint16(byteOffset) >> (16 - bitsPerSample) - innerBitOffset) & bitMask;
                    }
                    else if (innerBitOffset + bitsPerSample <= 24) {
                        const raw = (view.getUint16(byteOffset) << 8) | (view.getUint8(byteOffset + 2));
                        outArray[outIndex] = (raw >> (24 - bitsPerSample) - innerBitOffset) & bitMask;
                    }
                    else {
                        outArray[outIndex] = (view.getUint32(byteOffset) >> (32 - bitsPerSample) - innerBitOffset) & bitMask;
                    }
                    // let outWord = 0;
                    // for (let bit = 0; bit < bitsPerSample; ++bit) {
                    //   if (inByteArray[bitOffset >> 3]
                    //     & (0x80 >> (bitOffset & 7))) {
                    //     outWord |= (1 << (bitsPerSample - 1 - bit));
                    //   }
                    //   ++bitOffset;
                    // }
                    // outArray[outIndex] = outWord;
                    // outArray[pixel] = outWord;
                    // pixel += 1;
                }
                // bitOffset = bitOffset + pixelBitSkip - bitsPerSample;
            }
        }
    }
    else if (format === 3) { // floating point
        // Float16 is handled elsewhere
        // normalize 16/24 bit floats to 32 bit floats in the array
        // console.time();
        // if (bitsPerSample === 16) {
        //   for (let byte = 0, outIndex = 0; byte < inBuffer.byteLength; byte += 2, ++outIndex) {
        //     outArray[outIndex] = getFloat16(view, byte);
        //   }
        // }
        // console.timeEnd()
    }
    return outArray.buffer;
}
/**
 * GeoTIFF sub-file image.
 */
class GeoTIFFImage {
    /**
     * @constructor
     * @param {Object} fileDirectory The parsed file directory
     * @param {Object} geoKeys The parsed geo-keys
     * @param {DataView} dataView The DataView for the underlying file.
     * @param {Boolean} littleEndian Whether the file is encoded in little or big endian
     * @param {Boolean} cache Whether or not decoded tiles shall be cached
     * @param {import('./source/basesource').BaseSource} source The datasource to read from
     */
    constructor(fileDirectory, geoKeys, dataView, littleEndian, cache, source) {
        this.fileDirectory = fileDirectory;
        this.geoKeys = geoKeys;
        this.dataView = dataView;
        this.littleEndian = littleEndian;
        this.tiles = cache ? {} : null;
        this.isTiled = !fileDirectory.StripOffsets;
        const planarConfiguration = fileDirectory.PlanarConfiguration;
        this.planarConfiguration = (typeof planarConfiguration === 'undefined') ? 1 : planarConfiguration;
        if (this.planarConfiguration !== 1 && this.planarConfiguration !== 2) {
            throw new Error('Invalid planar configuration.');
        }
        this.source = source;
    }
    /**
     * Returns the associated parsed file directory.
     * @returns {Object} the parsed file directory
     */
    getFileDirectory() {
        return this.fileDirectory;
    }
    /**
     * Returns the associated parsed geo keys.
     * @returns {Object} the parsed geo keys
     */
    getGeoKeys() {
        return this.geoKeys;
    }
    /**
     * Returns the width of the image.
     * @returns {Number} the width of the image
     */
    getWidth() {
        return this.fileDirectory.ImageWidth;
    }
    /**
     * Returns the height of the image.
     * @returns {Number} the height of the image
     */
    getHeight() {
        return this.fileDirectory.ImageLength;
    }
    /**
     * Returns the number of samples per pixel.
     * @returns {Number} the number of samples per pixel
     */
    getSamplesPerPixel() {
        return typeof this.fileDirectory.SamplesPerPixel !== 'undefined'
            ? this.fileDirectory.SamplesPerPixel : 1;
    }
    /**
     * Returns the width of each tile.
     * @returns {Number} the width of each tile
     */
    getTileWidth() {
        return this.isTiled ? this.fileDirectory.TileWidth : this.getWidth();
    }
    /**
     * Returns the height of each tile.
     * @returns {Number} the height of each tile
     */
    getTileHeight() {
        if (this.isTiled) {
            return this.fileDirectory.TileLength;
        }
        if (typeof this.fileDirectory.RowsPerStrip !== 'undefined') {
            return Math.min(this.fileDirectory.RowsPerStrip, this.getHeight());
        }
        return this.getHeight();
    }
    getBlockWidth() {
        return this.getTileWidth();
    }
    getBlockHeight(y) {
        if (this.isTiled || (y + 1) * this.getTileHeight() <= this.getHeight()) {
            return this.getTileHeight();
        }
        else {
            return this.getHeight() - (y * this.getTileHeight());
        }
    }
    /**
     * Calculates the number of bytes for each pixel across all samples. Only full
     * bytes are supported, an exception is thrown when this is not the case.
     * @returns {Number} the bytes per pixel
     */
    getBytesPerPixel() {
        let bytes = 0;
        for (let i = 0; i < this.fileDirectory.BitsPerSample.length; ++i) {
            bytes += this.getSampleByteSize(i);
        }
        return bytes;
    }
    getSampleByteSize(i) {
        if (i >= this.fileDirectory.BitsPerSample.length) {
            throw new RangeError(`Sample index ${i} is out of range.`);
        }
        return Math.ceil(this.fileDirectory.BitsPerSample[i] / 8);
    }
    getReaderForSample(sampleIndex) {
        const format = this.fileDirectory.SampleFormat
            ? this.fileDirectory.SampleFormat[sampleIndex] : 1;
        const bitsPerSample = this.fileDirectory.BitsPerSample[sampleIndex];
        switch (format) {
            case 1: // unsigned integer data
                if (bitsPerSample <= 8) {
                    return DataView.prototype.getUint8;
                }
                else if (bitsPerSample <= 16) {
                    return DataView.prototype.getUint16;
                }
                else if (bitsPerSample <= 32) {
                    return DataView.prototype.getUint32;
                }
                break;
            case 2: // twos complement signed integer data
                if (bitsPerSample <= 8) {
                    return DataView.prototype.getInt8;
                }
                else if (bitsPerSample <= 16) {
                    return DataView.prototype.getInt16;
                }
                else if (bitsPerSample <= 32) {
                    return DataView.prototype.getInt32;
                }
                break;
            case 3:
                switch (bitsPerSample) {
                    case 16:
                        return function (offset, littleEndian) {
                            return (0, float16_1.getFloat16)(this, offset, littleEndian);
                        };
                    case 32:
                        return DataView.prototype.getFloat32;
                    case 64:
                        return DataView.prototype.getFloat64;
                    default:
                        break;
                }
                break;
            default:
                break;
        }
        throw Error('Unsupported data format/bitsPerSample');
    }
    getSampleFormat(sampleIndex = 0) {
        return this.fileDirectory.SampleFormat
            ? this.fileDirectory.SampleFormat[sampleIndex] : 1;
    }
    getBitsPerSample(sampleIndex = 0) {
        return this.fileDirectory.BitsPerSample[sampleIndex];
    }
    getArrayForSample(sampleIndex, size) {
        const format = this.getSampleFormat(sampleIndex);
        const bitsPerSample = this.getBitsPerSample(sampleIndex);
        return arrayForType(format, bitsPerSample, size);
    }
    /**
     * Returns the decoded strip or tile.
     * @param {Number} x the strip or tile x-offset
     * @param {Number} y the tile y-offset (0 for stripped images)
     * @param {Number} sample the sample to get for separated samples
     * @param {import("./geotiff").Pool|import("./geotiff").BaseDecoder} poolOrDecoder the decoder or decoder pool
     * @param {AbortSignal} [signal] An AbortSignal that may be signalled if the request is
     *                               to be aborted
     * @returns {Promise.<ArrayBuffer>}
     */
    async getTileOrStrip(x, y, sample, poolOrDecoder, signal) {
        const numTilesPerRow = Math.ceil(this.getWidth() / this.getTileWidth());
        const numTilesPerCol = Math.ceil(this.getHeight() / this.getTileHeight());
        let index;
        const { tiles } = this;
        if (this.planarConfiguration === 1) {
            index = (y * numTilesPerRow) + x;
        }
        else if (this.planarConfiguration === 2) {
            index = (sample * numTilesPerRow * numTilesPerCol) + (y * numTilesPerRow) + x;
        }
        let offset;
        let byteCount;
        if (this.isTiled) {
            offset = this.fileDirectory.TileOffsets[index];
            byteCount = this.fileDirectory.TileByteCounts[index];
        }
        else {
            offset = this.fileDirectory.StripOffsets[index];
            byteCount = this.fileDirectory.StripByteCounts[index];
        }
        const slice = (await this.source.fetch([{ offset, length: byteCount }], signal))[0];
        let request;
        if (tiles === null || !tiles[index]) {
            // resolve each request by potentially applying array normalization
            request = (async () => {
                let data = await poolOrDecoder.decode(this.fileDirectory, slice);
                const sampleFormat = this.getSampleFormat();
                const bitsPerSample = this.getBitsPerSample();
                if (needsNormalization(sampleFormat, bitsPerSample)) {
                    data = normalizeArray(data, sampleFormat, this.planarConfiguration, this.getSamplesPerPixel(), bitsPerSample, this.getTileWidth(), this.getBlockHeight(y));
                }
                return data;
            })();
            // set the cache
            if (tiles !== null) {
                tiles[index] = request;
            }
        }
        else {
            // get from the cache
            request = tiles[index];
        }
        // cache the tile request
        return { x, y, sample, data: await request };
    }
    /**
     * Internal read function.
     * @private
     * @param {Array} imageWindow The image window in pixel coordinates
     * @param {Array} samples The selected samples (0-based indices)
     * @param {TypedArray|TypedArray[]} valueArrays The array(s) to write into
     * @param {Boolean} interleave Whether or not to write in an interleaved manner
     * @param {import("./geotiff").Pool|AbstractDecoder} poolOrDecoder the decoder or decoder pool
     * @param {number} width the width of window to be read into
     * @param {number} height the height of window to be read into
     * @param {number} resampleMethod the resampling method to be used when interpolating
     * @param {AbortSignal} [signal] An AbortSignal that may be signalled if the request is
     *                               to be aborted
     * @returns {Promise<ReadRasterResult>}
     */
    async _readRaster(imageWindow, samples, valueArrays, interleave, poolOrDecoder, width, height, resampleMethod, signal) {
        const tileWidth = this.getTileWidth();
        const tileHeight = this.getTileHeight();
        const imageWidth = this.getWidth();
        const imageHeight = this.getHeight();
        const minXTile = Math.max(Math.floor(imageWindow[0] / tileWidth), 0);
        const maxXTile = Math.min(Math.ceil(imageWindow[2] / tileWidth), Math.ceil(imageWidth / tileWidth));
        const minYTile = Math.max(Math.floor(imageWindow[1] / tileHeight), 0);
        const maxYTile = Math.min(Math.ceil(imageWindow[3] / tileHeight), Math.ceil(imageHeight / tileHeight));
        const windowWidth = imageWindow[2] - imageWindow[0];
        let bytesPerPixel = this.getBytesPerPixel();
        const srcSampleOffsets = [];
        const sampleReaders = [];
        for (let i = 0; i < samples.length; ++i) {
            if (this.planarConfiguration === 1) {
                srcSampleOffsets.push(sum(this.fileDirectory.BitsPerSample, 0, samples[i]) / 8);
            }
            else {
                srcSampleOffsets.push(0);
            }
            sampleReaders.push(this.getReaderForSample(samples[i]));
        }
        const promises = [];
        const { littleEndian } = this;
        for (let yTile = minYTile; yTile < maxYTile; ++yTile) {
            for (let xTile = minXTile; xTile < maxXTile; ++xTile) {
                let getPromise;
                if (this.planarConfiguration === 1) {
                    getPromise = this.getTileOrStrip(xTile, yTile, 0, poolOrDecoder, signal);
                }
                for (let sampleIndex = 0; sampleIndex < samples.length; ++sampleIndex) {
                    const si = sampleIndex;
                    const sample = samples[sampleIndex];
                    if (this.planarConfiguration === 2) {
                        bytesPerPixel = this.getSampleByteSize(sample);
                        getPromise = this.getTileOrStrip(xTile, yTile, sample, poolOrDecoder, signal);
                    }
                    const promise = getPromise.then((tile) => {
                        const buffer = tile.data;
                        const dataView = new DataView(buffer);
                        const blockHeight = this.getBlockHeight(tile.y);
                        const firstLine = tile.y * tileHeight;
                        const firstCol = tile.x * tileWidth;
                        const lastLine = firstLine + blockHeight;
                        const lastCol = (tile.x + 1) * tileWidth;
                        const reader = sampleReaders[si];
                        const ymax = Math.min(blockHeight, blockHeight - (lastLine - imageWindow[3]), imageHeight - firstLine);
                        const xmax = Math.min(tileWidth, tileWidth - (lastCol - imageWindow[2]), imageWidth - firstCol);
                        for (let y = Math.max(0, imageWindow[1] - firstLine); y < ymax; ++y) {
                            for (let x = Math.max(0, imageWindow[0] - firstCol); x < xmax; ++x) {
                                const pixelOffset = ((y * tileWidth) + x) * bytesPerPixel;
                                const value = reader.call(dataView, pixelOffset + srcSampleOffsets[si], littleEndian);
                                let windowCoordinate;
                                if (interleave) {
                                    windowCoordinate = ((y + firstLine - imageWindow[1]) * windowWidth * samples.length)
                                        + ((x + firstCol - imageWindow[0]) * samples.length)
                                        + si;
                                    valueArrays[windowCoordinate] = value;
                                }
                                else {
                                    windowCoordinate = ((y + firstLine - imageWindow[1]) * windowWidth) + x + firstCol - imageWindow[0];
                                    valueArrays[si][windowCoordinate] = value;
                                }
                            }
                        }
                    });
                    promises.push(promise);
                }
            }
        }
        await Promise.all(promises);
        if ((width && (imageWindow[2] - imageWindow[0]) !== width)
            || (height && (imageWindow[3] - imageWindow[1]) !== height)) {
            let resampled;
            if (interleave) {
                resampled = (0, resample_js_1.resampleInterleaved)(valueArrays, imageWindow[2] - imageWindow[0], imageWindow[3] - imageWindow[1], width, height, samples.length, resampleMethod);
            }
            else {
                resampled = (0, resample_js_1.resample)(valueArrays, imageWindow[2] - imageWindow[0], imageWindow[3] - imageWindow[1], width, height, resampleMethod);
            }
            resampled.width = width;
            resampled.height = height;
            return resampled;
        }
        valueArrays.width = width || imageWindow[2] - imageWindow[0];
        valueArrays.height = height || imageWindow[3] - imageWindow[1];
        return valueArrays;
    }
    /**
     * Reads raster data from the image. This function reads all selected samples
     * into separate arrays of the correct type for that sample or into a single
     * combined array when `interleave` is set. When provided, only a subset
     * of the raster is read for each sample.
     *
     * @param {ReadRasterOptions} [options={}] optional parameters
     * @returns {Promise<ReadRasterResult>} the decoded arrays as a promise
     */
    async readRasters({ window: wnd, samples = [], interleave, pool = null, width, height, resampleMethod, fillValue, signal, } = {}) {
        const imageWindow = wnd || [0, 0, this.getWidth(), this.getHeight()];
        // check parameters
        if (imageWindow[0] > imageWindow[2] || imageWindow[1] > imageWindow[3]) {
            throw new Error('Invalid subsets');
        }
        const imageWindowWidth = imageWindow[2] - imageWindow[0];
        const imageWindowHeight = imageWindow[3] - imageWindow[1];
        const numPixels = imageWindowWidth * imageWindowHeight;
        const samplesPerPixel = this.getSamplesPerPixel();
        if (!samples || !samples.length) {
            for (let i = 0; i < samplesPerPixel; ++i) {
                samples.push(i);
            }
        }
        else {
            for (let i = 0; i < samples.length; ++i) {
                if (samples[i] >= samplesPerPixel) {
                    return Promise.reject(new RangeError(`Invalid sample index '${samples[i]}'.`));
                }
            }
        }
        let valueArrays;
        if (interleave) {
            const format = this.fileDirectory.SampleFormat
                ? Math.max.apply(null, this.fileDirectory.SampleFormat) : 1;
            const bitsPerSample = Math.max.apply(null, this.fileDirectory.BitsPerSample);
            valueArrays = arrayForType(format, bitsPerSample, numPixels * samples.length);
            if (fillValue) {
                valueArrays.fill(fillValue);
            }
        }
        else {
            valueArrays = [];
            for (let i = 0; i < samples.length; ++i) {
                const valueArray = this.getArrayForSample(samples[i], numPixels);
                if (Array.isArray(fillValue) && i < fillValue.length) {
                    valueArray.fill(fillValue[i]);
                }
                else if (fillValue && !Array.isArray(fillValue)) {
                    valueArray.fill(fillValue);
                }
                valueArrays.push(valueArray);
            }
        }
        const poolOrDecoder = pool || await (0, index_js_1.getDecoder)(this.fileDirectory);
        const result = await this._readRaster(imageWindow, samples, valueArrays, interleave, poolOrDecoder, width, height, resampleMethod, signal);
        return result;
    }
    /**
     * Reads raster data from the image as RGB. The result is always an
     * interleaved typed array.
     * Colorspaces other than RGB will be transformed to RGB, color maps expanded.
     * When no other method is applicable, the first sample is used to produce a
     * grayscale image.
     * When provided, only a subset of the raster is read for each sample.
     *
     * @param {Object} [options] optional parameters
     * @param {Array<number>} [options.window] the subset to read data from in pixels.
     * @param {boolean} [options.interleave=true] whether the data shall be read
     *                                             in one single array or separate
     *                                             arrays.
     * @param {import("./geotiff").Pool} [options.pool=null] The optional decoder pool to use.
     * @param {number} [options.width] The desired width of the output. When the width is no the
     *                                 same as the images, resampling will be performed.
     * @param {number} [options.height] The desired height of the output. When the width is no the
     *                                  same as the images, resampling will be performed.
     * @param {string} [options.resampleMethod='nearest'] The desired resampling method.
     * @param {boolean} [options.enableAlpha=false] Enable reading alpha channel if present.
     * @param {AbortSignal} [options.signal] An AbortSignal that may be signalled if the request is
     *                                       to be aborted
     * @returns {Promise<ReadRasterResult>} the RGB array as a Promise
     */
    async readRGB({ window, interleave = true, pool = null, width, height, resampleMethod, enableAlpha = false, signal } = {}) {
        const imageWindow = window || [0, 0, this.getWidth(), this.getHeight()];
        // check parameters
        if (imageWindow[0] > imageWindow[2] || imageWindow[1] > imageWindow[3]) {
            throw new Error('Invalid subsets');
        }
        const pi = this.fileDirectory.PhotometricInterpretation;
        if (pi === globals_js_1.photometricInterpretations.RGB) {
            let s = [0, 1, 2];
            if ((!(this.fileDirectory.ExtraSamples === globals_js_1.ExtraSamplesValues.Unspecified)) && enableAlpha) {
                s = [];
                for (let i = 0; i < this.fileDirectory.BitsPerSample.length; i += 1) {
                    s.push(i);
                }
            }
            return this.readRasters({
                window,
                interleave,
                samples: s,
                pool,
                width,
                height,
                resampleMethod,
                signal,
            });
        }
        let samples;
        switch (pi) {
            case globals_js_1.photometricInterpretations.WhiteIsZero:
            case globals_js_1.photometricInterpretations.BlackIsZero:
            case globals_js_1.photometricInterpretations.Palette:
                samples = [0];
                break;
            case globals_js_1.photometricInterpretations.CMYK:
                samples = [0, 1, 2, 3];
                break;
            case globals_js_1.photometricInterpretations.YCbCr:
            case globals_js_1.photometricInterpretations.CIELab:
                samples = [0, 1, 2];
                break;
            default:
                throw new Error('Invalid or unsupported photometric interpretation.');
        }
        const subOptions = {
            window: imageWindow,
            interleave: true,
            samples,
            pool,
            width,
            height,
            resampleMethod,
            signal,
        };
        const { fileDirectory } = this;
        const raster = await this.readRasters(subOptions);
        const max = 2 ** this.fileDirectory.BitsPerSample[0];
        let data;
        switch (pi) {
            case globals_js_1.photometricInterpretations.WhiteIsZero:
                data = (0, rgb_js_1.fromWhiteIsZero)(raster, max);
                break;
            case globals_js_1.photometricInterpretations.BlackIsZero:
                data = (0, rgb_js_1.fromBlackIsZero)(raster, max);
                break;
            case globals_js_1.photometricInterpretations.Palette:
                data = (0, rgb_js_1.fromPalette)(raster, fileDirectory.ColorMap);
                break;
            case globals_js_1.photometricInterpretations.CMYK:
                data = (0, rgb_js_1.fromCMYK)(raster);
                break;
            case globals_js_1.photometricInterpretations.YCbCr:
                data = (0, rgb_js_1.fromYCbCr)(raster);
                break;
            case globals_js_1.photometricInterpretations.CIELab:
                data = (0, rgb_js_1.fromCIELab)(raster);
                break;
            default:
                throw new Error('Unsupported photometric interpretation.');
        }
        // if non-interleaved data is requested, we must split the channels
        // into their respective arrays
        if (!interleave) {
            const red = new Uint8Array(data.length / 3);
            const green = new Uint8Array(data.length / 3);
            const blue = new Uint8Array(data.length / 3);
            for (let i = 0, j = 0; i < data.length; i += 3, ++j) {
                red[j] = data[i];
                green[j] = data[i + 1];
                blue[j] = data[i + 2];
            }
            data = [red, green, blue];
        }
        data.width = raster.width;
        data.height = raster.height;
        return data;
    }
    /**
     * Returns an array of tiepoints.
     * @returns {Object[]}
     */
    getTiePoints() {
        if (!this.fileDirectory.ModelTiepoint) {
            return [];
        }
        const tiePoints = [];
        for (let i = 0; i < this.fileDirectory.ModelTiepoint.length; i += 6) {
            tiePoints.push({
                i: this.fileDirectory.ModelTiepoint[i],
                j: this.fileDirectory.ModelTiepoint[i + 1],
                k: this.fileDirectory.ModelTiepoint[i + 2],
                x: this.fileDirectory.ModelTiepoint[i + 3],
                y: this.fileDirectory.ModelTiepoint[i + 4],
                z: this.fileDirectory.ModelTiepoint[i + 5],
            });
        }
        return tiePoints;
    }
    /**
     * Returns the parsed GDAL metadata items.
     *
     * If sample is passed to null, dataset-level metadata will be returned.
     * Otherwise only metadata specific to the provided sample will be returned.
     *
     * @param {number} [sample=null] The sample index.
     * @returns {Object}
     */
    getGDALMetadata(sample = null) {
        const metadata = {};
        if (!this.fileDirectory.GDAL_METADATA) {
            return null;
        }
        const string = this.fileDirectory.GDAL_METADATA;
        let items = (0, find_tags_by_name_js_1.default)(string, 'Item');
        if (sample === null) {
            items = items.filter((item) => (0, get_attribute_js_1.default)(item, 'sample') === undefined);
        }
        else {
            items = items.filter((item) => Number((0, get_attribute_js_1.default)(item, 'sample')) === sample);
        }
        for (let i = 0; i < items.length; ++i) {
            const item = items[i];
            metadata[(0, get_attribute_js_1.default)(item, 'name')] = item.inner;
        }
        return metadata;
    }
    /**
     * Returns the GDAL nodata value
     * @returns {number|null}
     */
    getGDALNoData() {
        if (!this.fileDirectory.GDAL_NODATA) {
            return null;
        }
        const string = this.fileDirectory.GDAL_NODATA;
        return Number(string.substring(0, string.length - 1));
    }
    /**
     * Returns the image origin as a XYZ-vector. When the image has no affine
     * transformation, then an exception is thrown.
     * @returns {Array<number>} The origin as a vector
     */
    getOrigin() {
        const tiePoints = this.fileDirectory.ModelTiepoint;
        const modelTransformation = this.fileDirectory.ModelTransformation;
        if (tiePoints && tiePoints.length === 6) {
            return [
                tiePoints[3],
                tiePoints[4],
                tiePoints[5],
            ];
        }
        if (modelTransformation) {
            return [
                modelTransformation[3],
                modelTransformation[7],
                modelTransformation[11],
            ];
        }
        throw new Error('The image does not have an affine transformation.');
    }
    /**
     * Returns the image resolution as a XYZ-vector. When the image has no affine
     * transformation, then an exception is thrown.
     * @param {GeoTIFFImage} [referenceImage=null] A reference image to calculate the resolution from
     *                                             in cases when the current image does not have the
     *                                             required tags on its own.
     * @returns {Array<number>} The resolution as a vector
     */
    getResolution(referenceImage = null) {
        const modelPixelScale = this.fileDirectory.ModelPixelScale;
        const modelTransformation = this.fileDirectory.ModelTransformation;
        if (modelPixelScale) {
            return [
                modelPixelScale[0],
                -modelPixelScale[1],
                modelPixelScale[2],
            ];
        }
        if (modelTransformation) {
            if (modelTransformation[1] === 0 && modelTransformation[4] === 0) {
                return [
                    modelTransformation[0],
                    -modelTransformation[5],
                    modelTransformation[10],
                ];
            }
            return [
                Math.sqrt((modelTransformation[0] * modelTransformation[0])
                    + (modelTransformation[4] * modelTransformation[4])),
                -Math.sqrt((modelTransformation[1] * modelTransformation[1])
                    + (modelTransformation[5] * modelTransformation[5])),
                modelTransformation[10]
            ];
        }
        if (referenceImage) {
            const [refResX, refResY, refResZ] = referenceImage.getResolution();
            return [
                refResX * referenceImage.getWidth() / this.getWidth(),
                refResY * referenceImage.getHeight() / this.getHeight(),
                refResZ * referenceImage.getWidth() / this.getWidth(),
            ];
        }
        throw new Error('The image does not have an affine transformation.');
    }
    /**
     * Returns whether or not the pixels of the image depict an area (or point).
     * @returns {Boolean} Whether the pixels are a point
     */
    pixelIsArea() {
        return this.geoKeys.GTRasterTypeGeoKey === 1;
    }
    /**
     * Returns the image bounding box as an array of 4 values: min-x, min-y,
     * max-x and max-y. When the image has no affine transformation, then an
     * exception is thrown.
     * @param {boolean} [tilegrid=false] If true return extent for a tilegrid
     *                                   without adjustment for ModelTransformation.
     * @returns {Array<number>} The bounding box
     */
    getBoundingBox(tilegrid = false) {
        const height = this.getHeight();
        const width = this.getWidth();
        if (this.fileDirectory.ModelTransformation && !tilegrid) {
            // eslint-disable-next-line no-unused-vars
            const [a, b, c, d, e, f, g, h] = this.fileDirectory.ModelTransformation;
            const corners = [
                [0, 0],
                [0, height],
                [width, 0],
                [width, height],
            ];
            const projected = corners.map(([I, J]) => [
                d + (a * I) + (b * J),
                h + (e * I) + (f * J),
            ]);
            const xs = projected.map((pt) => pt[0]);
            const ys = projected.map((pt) => pt[1]);
            return [
                Math.min(...xs),
                Math.min(...ys),
                Math.max(...xs),
                Math.max(...ys),
            ];
        }
        else {
            const origin = this.getOrigin();
            const resolution = this.getResolution();
            const x1 = origin[0];
            const y1 = origin[1];
            const x2 = x1 + (resolution[0] * width);
            const y2 = y1 + (resolution[1] * height);
            return [
                Math.min(x1, x2),
                Math.min(y1, y2),
                Math.max(x1, x2),
                Math.max(y1, y2),
            ];
        }
    }
}
exports.default = GeoTIFFImage;
//# sourceMappingURL=geotiffimage.js.map