/**
 * @license
 * Copyright 2020 Google LLC. 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.
 * =============================================================================
 */
import * as tf from '../index';
import { ALL_ENVS, describeWithFlags } from '../jasmine_util';
import { expectArraysClose } from '../test_util';
describeWithFlags('addN', ALL_ENVS, () => {
    it('a single tensor', async () => {
        const res = tf.addN([tf.tensor1d([1, 2, 3])]);
        expectArraysClose(await res.data(), [1, 2, 3]);
    });
    it('two tensors, int32', async () => {
        const res = tf.addN([
            tf.tensor1d([1, 2, -1], 'int32'),
            tf.tensor1d([5, 3, 2], 'int32'),
        ]);
        expectArraysClose(await res.data(), [6, 5, 1]);
        expect(res.dtype).toBe('int32');
        expect(res.shape).toEqual([3]);
    });
    it('three tensors', async () => {
        const res = tf.addN([
            tf.tensor1d([1, 2]),
            tf.tensor1d([5, 3]),
            tf.tensor1d([-5, -2]),
        ]);
        expectArraysClose(await res.data(), [1, 3]);
        expect(res.dtype).toBe('float32');
        expect(res.shape).toEqual([2]);
    });
    it('accepts a tensor-like object', async () => {
        const res = tf.addN([[1, 2], [3, 4]]);
        expectArraysClose(await res.data(), [4, 6]);
        expect(res.dtype).toBe('float32');
        expect(res.shape).toEqual([2]);
    });
    it('list of numbers gets treated as a list of scalars', async () => {
        const res = tf.addN([1, 2, 3, 4]);
        expectArraysClose(await res.data(), [10]);
        expect(res.dtype).toBe('float32');
        expect(res.shape).toEqual([]);
    });
    it('errors if list is empty', () => {
        expect(() => tf.addN([]))
            .toThrowError(/Must pass at least one tensor to tf.addN\(\), but got 0/);
    });
    it('errors if argument is not an array', () => {
        // tslint:disable-next-line:no-any
        expect(() => tf.addN(tf.scalar(3)))
            .toThrowError(/The argument passed to tf.addN\(\) must be a list of tensors/);
    });
    it('errors if arguments not of same dtype', () => {
        expect(() => tf.addN([tf.scalar(1, 'int32'), tf.scalar(2, 'float32')]))
            .toThrowError(/All tensors passed to tf.addN\(\) must have the same dtype/);
    });
    it('errors if arguments not of same shape', () => {
        expect(() => tf.addN([tf.scalar(1), tf.tensor1d([2])]))
            .toThrowError(/All tensors passed to tf.addN\(\) must have the same shape/);
    });
});
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All Rights Reserved.\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 {ALL_ENVS, describeWithFlags} from '../jasmine_util';\nimport {expectArraysClose} from '../test_util';\n\ndescribeWithFlags('addN', ALL_ENVS, () => {\n  it('a single tensor', async () => {\n    const res = tf.addN([tf.tensor1d([1, 2, 3])]);\n    expectArraysClose(await res.data(), [1, 2, 3]);\n  });\n\n  it('two tensors, int32', async () => {\n    const res = tf.addN([\n      tf.tensor1d([1, 2, -1], 'int32'),\n      tf.tensor1d([5, 3, 2], 'int32'),\n    ]);\n    expectArraysClose(await res.data(), [6, 5, 1]);\n    expect(res.dtype).toBe('int32');\n    expect(res.shape).toEqual([3]);\n  });\n\n  it('three tensors', async () => {\n    const res = tf.addN([\n      tf.tensor1d([1, 2]),\n      tf.tensor1d([5, 3]),\n      tf.tensor1d([-5, -2]),\n    ]);\n    expectArraysClose(await res.data(), [1, 3]);\n    expect(res.dtype).toBe('float32');\n    expect(res.shape).toEqual([2]);\n  });\n\n  it('accepts a tensor-like object', async () => {\n    const res = tf.addN([[1, 2], [3, 4]]);\n    expectArraysClose(await res.data(), [4, 6]);\n    expect(res.dtype).toBe('float32');\n    expect(res.shape).toEqual([2]);\n  });\n\n  it('list of numbers gets treated as a list of scalars', async () => {\n    const res = tf.addN([1, 2, 3, 4]);\n    expectArraysClose(await res.data(), [10]);\n    expect(res.dtype).toBe('float32');\n    expect(res.shape).toEqual([]);\n  });\n\n  it('errors if list is empty', () => {\n    expect(() => tf.addN([]))\n        .toThrowError(\n            /Must pass at least one tensor to tf.addN\\(\\), but got 0/);\n  });\n\n  it('errors if argument is not an array', () => {\n    // tslint:disable-next-line:no-any\n    expect(() => tf.addN(tf.scalar(3) as any))\n        .toThrowError(\n            /The argument passed to tf.addN\\(\\) must be a list of tensors/);\n  });\n\n  it('errors if arguments not of same dtype', () => {\n    expect(() => tf.addN([tf.scalar(1, 'int32'), tf.scalar(2, 'float32')]))\n        .toThrowError(\n            /All tensors passed to tf.addN\\(\\) must have the same dtype/);\n  });\n\n  it('errors if arguments not of same shape', () => {\n    expect(() => tf.addN([tf.scalar(1), tf.tensor1d([2])]))\n        .toThrowError(\n            /All tensors passed to tf.addN\\(\\) must have the same shape/);\n  });\n});\n"]}