/**
 * @license
 * Copyright 2023 Google LLC.
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 * =============================================================================
 */
import * as tf from '../index';
import { BROWSER_ENVS, describeWithFlags } from '../jasmine_util';
import { expectArraysClose, expectArraysEqual } from '../test_util';
function readPixelsFromCanvas(canvas, contextType, width, height) {
    let actualData;
    if (contextType === '2d') {
        const ctx = canvas.getContext(contextType);
        actualData = ctx.getImageData(0, 0, width, height).data;
    }
    else {
        const tmpCanvas = document.createElement('canvas');
        tmpCanvas.width = width;
        tmpCanvas.height = height;
        const ctx = tmpCanvas.getContext('2d');
        ctx.drawImage(canvas, 0, 0);
        actualData = new Uint8ClampedArray(ctx.getImageData(0, 0, ctx.canvas.width, ctx.canvas.height).data);
    }
    return actualData;
}
function convertToRGBA(data, shape, dtype, alpha = 1) {
    const [height, width] = shape.slice(0, 2);
    const depth = shape.length === 2 ? 1 : shape[2];
    const multiplier = dtype === 'float32' ? 255 : 1;
    const bytes = new Uint8ClampedArray(width * height * 4);
    for (let i = 0; i < height * width; ++i) {
        const rgba = [0, 0, 0, 255 * alpha];
        for (let d = 0; d < depth; d++) {
            const value = data[i * depth + d];
            if (dtype === 'float32') {
                if (value < 0 || value > 1) {
                    throw new Error(`Tensor values for a float32 Tensor must be in the ` +
                        `range [0 - 1] but encountered ${value}.`);
                }
            }
            else if (dtype === 'int32') {
                if (value < 0 || value > 255) {
                    throw new Error(`Tensor values for a int32 Tensor must be in the ` +
                        `range [0 - 255] but encountered ${value}.`);
                }
            }
            if (depth === 1) {
                rgba[0] = value * multiplier;
                rgba[1] = value * multiplier;
                rgba[2] = value * multiplier;
            }
            else {
                rgba[d] = value * multiplier;
            }
        }
        const j = i * 4;
        bytes[j + 0] = Math.round(rgba[0]);
        bytes[j + 1] = Math.round(rgba[1]);
        bytes[j + 2] = Math.round(rgba[2]);
        bytes[j + 3] = Math.round(rgba[3]);
    }
    return bytes;
}
function drawAndReadback(contextType, data, shape, dtype, alpha = 1, canvasUsedAs2d = false) {
    const [height, width] = shape.slice(0, 2);
    let img;
    if (shape.length === 3) {
        img = tf.tensor3d(data, shape, dtype);
    }
    else {
        img = tf.tensor2d(data, shape, dtype);
    }
    const canvas = document.createElement('canvas');
    canvas.width = width;
    canvas.height = height;
    if (canvasUsedAs2d) {
        canvas.getContext('2d');
    }
    const drawOptions = { contextOptions: { contextType }, imageOptions: { alpha } };
    // tslint:disable-next-line:no-any
    tf.browser.draw(img, canvas, drawOptions);
    const actualData = readPixelsFromCanvas(canvas, contextType, width, height);
    const expectedData = convertToRGBA(data, shape, dtype, alpha);
    img.dispose();
    return [actualData, expectedData];
}
// CPU and GPU handle pixel value differently. The epsilon may possibly grow
// after each draw and read back.
const DRAW_EPSILON = 6.0;
describeWithFlags('draw on canvas context', BROWSER_ENVS, (env) => {
    let contextType;
    beforeAll(async () => {
        await tf.setBackend(env.name);
        contextType = env.name === 'cpu' ? '2d' : env.name;
    });
    it('draw image with 4 channels and int values', async () => {
        const data = [10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110, 120, 130, 140, 150, 160];
        const shape = [2, 2, 4];
        const dtype = 'int32';
        const startNumTensors = tf.memory().numTensors;
        const [actualData, expectedData] = drawAndReadback(contextType, data, shape, dtype);
        expect(tf.memory().numTensors).toEqual(startNumTensors);
        expectArraysClose(actualData, expectedData, DRAW_EPSILON);
    });
    it('draw image with 4 channels and int values, alpha=0.5', async () => {
        const data = [10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110, 120, 130, 140, 150, 160];
        const shape = [2, 2, 4];
        const dtype = 'int32';
        const startNumTensors = tf.memory().numTensors;
        const [actualData, expectedData] = drawAndReadback(contextType, data, shape, dtype, 0.5);
        expect(tf.memory().numTensors).toEqual(startNumTensors);
        expectArraysClose(actualData, expectedData, DRAW_EPSILON);
    });
    it('draw image with 4 channels and float values', async () => {
        const data = [.1, .2, .3, .4, .5, .6, .7, .8, .09, .1, .11, .12, .13, .14, .15, .16];
        const shape = [2, 2, 4];
        const dtype = 'float32';
        const [actualData, expectedData] = drawAndReadback(contextType, data, shape, dtype);
        expectArraysClose(actualData, expectedData, DRAW_EPSILON);
    });
    it('draw image with 3 channels and int values', async () => {
        const data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12];
        const shape = [2, 2, 3];
        const dtype = 'int32';
        const [actualData, expectedData] = drawAndReadback(contextType, data, shape, dtype);
        expectArraysEqual(actualData, expectedData);
    });
    it('draw image with 3 channels and int values, alpha=0.5', async () => {
        const data = [101, 32, 113, 14, 35, 76, 17, 38, 59, 70, 81, 92];
        const shape = [2, 2, 3];
        const dtype = 'int32';
        const alpha = 0.5;
        const [actualData, expectedData] = drawAndReadback(contextType, data, shape, dtype, alpha);
        expectArraysClose(actualData, expectedData, DRAW_EPSILON);
    });
    it('draw image with 3 channels and float values', async () => {
        const data = [.1, .2, .3, .4, .5, .6, .7, .8, .9, .1, .11, .12];
        const shape = [2, 2, 3];
        const dtype = 'float32';
        const [actualData, expectedData] = drawAndReadback(contextType, data, shape, dtype);
        expectArraysClose(actualData, expectedData, DRAW_EPSILON);
    });
    it('draw 2D image in grayscale', async () => {
        const data = [100, 12, 90, 64];
        const shape = [2, 2];
        const dtype = 'int32';
        const [actualData, expectedData] = drawAndReadback(contextType, data, shape, dtype);
        expectArraysEqual(actualData, expectedData);
    });
    it('draw image with alpha=0.5', async () => {
        const data = [101, 212, 113, 14, 35, 76, 17, 38, 59, 70, 81, 92];
        const shape = [6, 2, 1];
        const dtype = 'int32';
        const alpha = 0.5;
        const [actualData, expectedData] = drawAndReadback(contextType, data, shape, dtype, alpha);
        expectArraysClose(actualData, expectedData, DRAW_EPSILON);
    });
    it('draw image works when canvas has been used for 2d', async () => {
        const data = [101, 212, 113, 14, 35, 76, 17, 38, 59, 70, 81, 92];
        const shape = [6, 2, 1];
        const dtype = 'int32';
        // Set canvasUsedAs2d to true so the canvas will be first used for 2d.
        const [actualData, expectedData] = drawAndReadback(contextType, data, shape, dtype, 1, true);
        expectArraysClose(actualData, expectedData, DRAW_EPSILON);
    });
});
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* @license\n * Copyright 2023 Google LLC.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tf from '../index';\nimport {BROWSER_ENVS, describeWithFlags} from '../jasmine_util';\nimport {expectArraysClose, expectArraysEqual} from '../test_util';\n\nfunction readPixelsFromCanvas(\n    canvas: HTMLCanvasElement, contextType: string, width: number,\n    height: number) {\n  let actualData;\n  if (contextType === '2d') {\n    const ctx = canvas.getContext(contextType);\n    actualData = ctx.getImageData(0, 0, width, height).data;\n  } else {\n    const tmpCanvas = document.createElement('canvas');\n    tmpCanvas.width = width;\n    tmpCanvas.height = height;\n    const ctx = tmpCanvas.getContext('2d');\n\n    ctx.drawImage(canvas, 0, 0);\n    actualData = new Uint8ClampedArray(\n        ctx.getImageData(0, 0, ctx.canvas.width, ctx.canvas.height).data);\n  }\n  return actualData;\n}\n\nfunction convertToRGBA(\n    data: number[], shape: number[], dtype: string, alpha = 1) {\n  const [height, width] = shape.slice(0, 2);\n  const depth = shape.length === 2 ? 1 : shape[2];\n  const multiplier = dtype === 'float32' ? 255 : 1;\n  const bytes = new Uint8ClampedArray(width * height * 4);\n\n  for (let i = 0; i < height * width; ++i) {\n    const rgba = [0, 0, 0, 255 * alpha];\n\n    for (let d = 0; d < depth; d++) {\n      const value = data[i * depth + d];\n\n      if (dtype === 'float32') {\n        if (value < 0 || value > 1) {\n          throw new Error(\n              `Tensor values for a float32 Tensor must be in the ` +\n              `range [0 - 1] but encountered ${value}.`);\n        }\n      } else if (dtype === 'int32') {\n        if (value < 0 || value > 255) {\n          throw new Error(\n              `Tensor values for a int32 Tensor must be in the ` +\n              `range [0 - 255] but encountered ${value}.`);\n        }\n      }\n\n      if (depth === 1) {\n        rgba[0] = value * multiplier;\n        rgba[1] = value * multiplier;\n        rgba[2] = value * multiplier;\n      } else {\n        rgba[d] = value * multiplier;\n      }\n    }\n\n    const j = i * 4;\n    bytes[j + 0] = Math.round(rgba[0]);\n    bytes[j + 1] = Math.round(rgba[1]);\n    bytes[j + 2] = Math.round(rgba[2]);\n    bytes[j + 3] = Math.round(rgba[3]);\n  }\n  return bytes;\n}\n\nfunction drawAndReadback(\n    contextType: string, data: number[], shape: number[], dtype: string,\n    alpha = 1, canvasUsedAs2d = false) {\n  const [height, width] = shape.slice(0, 2);\n  let img;\n  if (shape.length === 3) {\n    img = tf.tensor3d(\n        data, shape as [number, number, number], dtype as keyof tf.DataTypeMap);\n  } else {\n    img = tf.tensor2d(\n        data, shape as [number, number], dtype as keyof tf.DataTypeMap);\n  }\n  const canvas = document.createElement('canvas');\n  canvas.width = width;\n  canvas.height = height;\n  if (canvasUsedAs2d) {\n    canvas.getContext('2d');\n  }\n  const drawOptions = {contextOptions: {contextType}, imageOptions: {alpha}};\n  // tslint:disable-next-line:no-any\n  tf.browser.draw(img, canvas as any, drawOptions);\n  const actualData = readPixelsFromCanvas(canvas, contextType, width, height);\n  const expectedData = convertToRGBA(data, shape, dtype, alpha);\n  img.dispose();\n  return [actualData, expectedData];\n}\n\n// CPU and GPU handle pixel value differently. The epsilon may possibly grow\n// after each draw and read back.\nconst DRAW_EPSILON = 6.0;\n\ndescribeWithFlags('draw on canvas context', BROWSER_ENVS, (env) => {\n  let contextType: string;\n  beforeAll(async () => {\n    await tf.setBackend(env.name);\n    contextType = env.name === 'cpu' ? '2d' : env.name;\n  });\n\n  it('draw image with 4 channels and int values', async () => {\n    const data =\n        [10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110, 120, 130, 140, 150, 160];\n    const shape = [2, 2, 4];\n    const dtype = 'int32';\n    const startNumTensors = tf.memory().numTensors;\n    const [actualData, expectedData] =\n        drawAndReadback(contextType, data, shape, dtype);\n    expect(tf.memory().numTensors).toEqual(startNumTensors);\n    expectArraysClose(actualData, expectedData, DRAW_EPSILON);\n  });\n\n  it('draw image with 4 channels and int values, alpha=0.5', async () => {\n    const data =\n        [10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110, 120, 130, 140, 150, 160];\n    const shape = [2, 2, 4];\n    const dtype = 'int32';\n    const startNumTensors = tf.memory().numTensors;\n    const [actualData, expectedData] =\n        drawAndReadback(contextType, data, shape, dtype, 0.5);\n    expect(tf.memory().numTensors).toEqual(startNumTensors);\n    expectArraysClose(actualData, expectedData, DRAW_EPSILON);\n  });\n\n  it('draw image with 4 channels and float values', async () => {\n    const data =\n        [.1, .2, .3, .4, .5, .6, .7, .8, .09, .1, .11, .12, .13, .14, .15, .16];\n    const shape = [2, 2, 4];\n    const dtype = 'float32';\n    const [actualData, expectedData] =\n        drawAndReadback(contextType, data, shape, dtype);\n    expectArraysClose(actualData, expectedData, DRAW_EPSILON);\n  });\n\n  it('draw image with 3 channels and int values', async () => {\n    const data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12];\n    const shape = [2, 2, 3];\n    const dtype = 'int32';\n    const [actualData, expectedData] =\n        drawAndReadback(contextType, data, shape, dtype);\n    expectArraysEqual(actualData, expectedData);\n  });\n\n  it('draw image with 3 channels and int values, alpha=0.5', async () => {\n    const data = [101, 32, 113, 14, 35, 76, 17, 38, 59, 70, 81, 92];\n    const shape = [2, 2, 3];\n    const dtype = 'int32';\n    const alpha = 0.5;\n    const [actualData, expectedData] =\n        drawAndReadback(contextType, data, shape, dtype, alpha);\n    expectArraysClose(actualData, expectedData, DRAW_EPSILON);\n  });\n\n  it('draw image with 3 channels and float values', async () => {\n    const data = [.1, .2, .3, .4, .5, .6, .7, .8, .9, .1, .11, .12];\n    const shape = [2, 2, 3];\n    const dtype = 'float32';\n    const [actualData, expectedData] =\n        drawAndReadback(contextType, data, shape, dtype);\n    expectArraysClose(actualData, expectedData, DRAW_EPSILON);\n  });\n\n  it('draw 2D image in grayscale', async () => {\n    const data = [100, 12, 90, 64];\n    const shape = [2, 2];\n    const dtype = 'int32';\n    const [actualData, expectedData] =\n        drawAndReadback(contextType, data, shape, dtype);\n    expectArraysEqual(actualData, expectedData);\n  });\n\n  it('draw image with alpha=0.5', async () => {\n    const data = [101, 212, 113, 14, 35, 76, 17, 38, 59, 70, 81, 92];\n    const shape = [6, 2, 1];\n    const dtype = 'int32';\n    const alpha = 0.5;\n    const [actualData, expectedData] =\n        drawAndReadback(contextType, data, shape, dtype, alpha);\n    expectArraysClose(actualData, expectedData, DRAW_EPSILON);\n  });\n\n  it('draw image works when canvas has been used for 2d', async () => {\n    const data = [101, 212, 113, 14, 35, 76, 17, 38, 59, 70, 81, 92];\n    const shape = [6, 2, 1];\n    const dtype = 'int32';\n    // Set canvasUsedAs2d to true so the canvas will be first used for 2d.\n    const [actualData, expectedData] =\n        drawAndReadback(contextType, data, shape, dtype, 1, true);\n    expectArraysClose(actualData, expectedData, DRAW_EPSILON);\n  });\n});\n"]}