@tensorflow/tfjs-node/dist/canvas_test.js

"use strict";
/**
 * @license
 * Copyright 2018 Google Inc. All Rights Reserved.
 * 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.
 * =============================================================================
 */
var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) {
    return new (P || (P = Promise))(function (resolve, reject) {
        function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } }
        function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } }
        function step(result) { result.done ? resolve(result.value) : new P(function (resolve) { resolve(result.value); }).then(fulfilled, rejected); }
        step((generator = generator.apply(thisArg, _arguments || [])).next());
    });
};
var __generator = (this && this.__generator) || function (thisArg, body) {
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    function verb(n) { return function (v) { return step([n, v]); }; }
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            if (y = 0, t) op = [op[0] & 2, t.value];
            switch (op[0]) {
                case 0: case 1: t = op; break;
                case 4: _.label++; return { value: op[1], done: false };
                case 5: _.label++; y = op[1]; op = [0]; continue;
                case 7: op = _.ops.pop(); _.trys.pop(); continue;
                default:
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                    if (t && _.label < t[2]) { _.label = t[2]; _.ops.push(op); break; }
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    }
};
var _this = this;
Object.defineProperty(exports, "__esModule", { value: true });
var tf = require("@tensorflow/tfjs");
var MockContext = /** @class */ (function () {
    function MockContext() {
    }
    MockContext.prototype.getImageData = function (x, y, width, height) {
        var data = new Uint8ClampedArray(width * height * 4);
        for (var i = 0; i < data.length; ++i) {
            data[i] = i + 1;
        }
        return { data: data };
    };
    return MockContext;
}());
var MockCanvas = /** @class */ (function () {
    function MockCanvas(width, height) {
        this.width = width;
        this.height = height;
    }
    MockCanvas.prototype.getContext = function (type) {
        return new MockContext();
    };
    return MockCanvas;
}());
describe('tf.browser.fromPixels with polyfills', function () {
    it('accepts a canvas-like element', function () { return __awaiter(_this, void 0, void 0, function () {
        var c, t, _a, _b;
        return __generator(this, function (_c) {
            switch (_c.label) {
                case 0:
                    c = new MockCanvas(2, 2);
                    t = tf.browser.fromPixels(c);
                    expect(t.dtype).toBe('int32');
                    expect(t.shape).toEqual([2, 2, 3]);
                    _b = (_a = tf.test_util).expectArraysEqual;
                    return [4 /*yield*/, t.data()];
                case 1:
                    _b.apply(_a, [_c.sent(), [1, 2, 3, 5, 6, 7, 9, 10, 11, 13, 14, 15]]);
                    return [2 /*return*/];
            }
        });
    }); });
    it('accepts a canvas-like element, numChannels=4', function () { return __awaiter(_this, void 0, void 0, function () {
        var c, t, _a, _b;
        return __generator(this, function (_c) {
            switch (_c.label) {
                case 0:
                    c = new MockCanvas(2, 2);
                    t = tf.browser.fromPixels(c, 4);
                    expect(t.dtype).toBe('int32');
                    expect(t.shape).toEqual([2, 2, 4]);
                    _b = (_a = tf.test_util).expectArraysEqual;
                    return [4 /*yield*/, t.data()];
                case 1:
                    _b.apply(_a, [_c.sent(),
                        [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]]);
                    return [2 /*return*/];
            }
        });
    }); });
    it('errors when passed a non-canvas object', function () {
        var c = 5;
        // tslint:disable-next-line:no-any
        expect(function () { return tf.browser.fromPixels(c); })
            .toThrowError(/pixels passed to tf\.browser\.fromPixels\(\) must be either an/);
    });
});