/**
 * @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('stack', ALL_ENVS, () => {
    it('scalars 3, 5 and 7', async () => {
        const a = tf.scalar(3);
        const b = tf.scalar(5);
        const c = tf.scalar(7);
        const res = tf.stack([a, b, c]);
        expect(res.shape).toEqual([3]);
        expectArraysClose(await res.data(), [3, 5, 7]);
    });
    it('scalars 3, 5 and 7 along axis=1 throws error', () => {
        const a = tf.scalar(3);
        const b = tf.scalar(5);
        const c = tf.scalar(7);
        const f = () => tf.stack([a, b, c], 1);
        expect(f).toThrowError();
    });
    it('non matching shapes throws error', () => {
        const a = tf.scalar(3);
        const b = tf.tensor1d([5]);
        const f = () => tf.stack([a, b]);
        expect(f).toThrowError();
    });
    it('non matching dtypes throws error', () => {
        const a = tf.scalar(3);
        const b = tf.scalar(5, 'bool');
        const f = () => tf.stack([a, b]);
        expect(f).toThrowError();
    });
    it('2d but axis=3 throws error', () => {
        const a = tf.zeros([2, 2]);
        const b = tf.zeros([2, 2]);
        const f = () => tf.stack([a, b], 3 /* axis */);
        expect(f).toThrowError();
    });
    it('[1,2], [3,4] and [5,6], axis=0', async () => {
        const a = tf.tensor1d([1, 2]);
        const b = tf.tensor1d([3, 4]);
        const c = tf.tensor1d([5, 6]);
        const res = tf.stack([a, b, c], 0 /* axis */);
        expect(res.shape).toEqual([3, 2]);
        expectArraysClose(await res.data(), [1, 2, 3, 4, 5, 6]);
    });
    it('[1,2], [3,4] and [5,6], axis=1', async () => {
        const a = tf.tensor1d([1, 2]);
        const b = tf.tensor1d([3, 4]);
        const c = tf.tensor1d([5, 6]);
        const res = tf.stack([a, b, c], 1 /* axis */);
        expect(res.shape).toEqual([2, 3]);
        expectArraysClose(await res.data(), [1, 3, 5, 2, 4, 6]);
    });
    it('[[1,2],[3,4]] and [[5, 6], [7, 8]], axis=0', async () => {
        const a = tf.tensor2d([[1, 2], [3, 4]]);
        const b = tf.tensor2d([[5, 6], [7, 8]]);
        const res = tf.stack([a, b], 0 /* axis */);
        expect(res.shape).toEqual([2, 2, 2]);
        expectArraysClose(await res.data(), [1, 2, 3, 4, 5, 6, 7, 8]);
    });
    it('[[1,2],[3,4]] and [[5, 6], [7, 8]], axis=2', async () => {
        const a = tf.tensor2d([[1, 2], [3, 4]]);
        const b = tf.tensor2d([[5, 6], [7, 8]]);
        const c = tf.tensor2d([[9, 10], [11, 12]]);
        const res = tf.stack([a, b, c], 2 /* axis */);
        expect(res.shape).toEqual([2, 2, 3]);
        expectArraysClose(await res.data(), [1, 5, 9, 2, 6, 10, 3, 7, 11, 4, 8, 12]);
    });
    it('single tensor', async () => {
        const a = tf.tensor2d([[1, 2], [3, 4]]);
        const res = tf.stack([a], 2 /* axis */);
        expect(res.shape).toEqual([2, 2, 1]);
        expectArraysClose(await res.data(), [1, 2, 3, 4]);
    });
    it('throws when passed a non-tensor', () => {
        expect(() => tf.stack([{}]))
            .toThrowError(/Argument 'tensors\[0\]' passed to 'stack' must be a Tensor/);
    });
    it('accepts a tensor-like object', async () => {
        const a = [[1, 2], [3, 4]];
        const res = tf.stack([a], 2 /* axis */);
        expect(res.shape).toEqual([2, 2, 1]);
        expectArraysClose(await res.data(), [1, 2, 3, 4]);
    });
    it('accepts string.', async () => {
        const a = tf.scalar('three', 'string');
        const b = tf.scalar('five', 'string');
        const c = tf.scalar('seven', 'string');
        const res = tf.stack([a, b, c]);
        expect(res.shape).toEqual([3]);
        expectArraysClose(await res.data(), ['three', 'five', 'seven']);
    });
    it('chain api', async () => {
        const a = tf.tensor([1, 2]);
        const res = a.stack(tf.tensor([3, 4]));
        expect(res.shape).toEqual([2, 2]);
        expectArraysClose(await res.data(), [1, 2, 3, 4]);
    });
});
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* @license\n * Copyright 2020 Google LLC. 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('stack', ALL_ENVS, () => {\n  it('scalars 3, 5 and 7', async () => {\n    const a = tf.scalar(3);\n    const b = tf.scalar(5);\n    const c = tf.scalar(7);\n    const res = tf.stack([a, b, c]);\n    expect(res.shape).toEqual([3]);\n    expectArraysClose(await res.data(), [3, 5, 7]);\n  });\n\n  it('scalars 3, 5 and 7 along axis=1 throws error', () => {\n    const a = tf.scalar(3);\n    const b = tf.scalar(5);\n    const c = tf.scalar(7);\n    const f = () => tf.stack([a, b, c], 1);\n    expect(f).toThrowError();\n  });\n\n  it('non matching shapes throws error', () => {\n    const a = tf.scalar(3);\n    const b = tf.tensor1d([5]);\n    const f = () => tf.stack([a, b]);\n    expect(f).toThrowError();\n  });\n\n  it('non matching dtypes throws error', () => {\n    const a = tf.scalar(3);\n    const b = tf.scalar(5, 'bool');\n    const f = () => tf.stack([a, b]);\n    expect(f).toThrowError();\n  });\n\n  it('2d but axis=3 throws error', () => {\n    const a = tf.zeros([2, 2]);\n    const b = tf.zeros([2, 2]);\n    const f = () => tf.stack([a, b], 3 /* axis */);\n    expect(f).toThrowError();\n  });\n\n  it('[1,2], [3,4] and [5,6], axis=0', async () => {\n    const a = tf.tensor1d([1, 2]);\n    const b = tf.tensor1d([3, 4]);\n    const c = tf.tensor1d([5, 6]);\n    const res = tf.stack([a, b, c], 0 /* axis */);\n    expect(res.shape).toEqual([3, 2]);\n    expectArraysClose(await res.data(), [1, 2, 3, 4, 5, 6]);\n  });\n\n  it('[1,2], [3,4] and [5,6], axis=1', async () => {\n    const a = tf.tensor1d([1, 2]);\n    const b = tf.tensor1d([3, 4]);\n    const c = tf.tensor1d([5, 6]);\n    const res = tf.stack([a, b, c], 1 /* axis */);\n    expect(res.shape).toEqual([2, 3]);\n    expectArraysClose(await res.data(), [1, 3, 5, 2, 4, 6]);\n  });\n\n  it('[[1,2],[3,4]] and [[5, 6], [7, 8]], axis=0', async () => {\n    const a = tf.tensor2d([[1, 2], [3, 4]]);\n    const b = tf.tensor2d([[5, 6], [7, 8]]);\n    const res = tf.stack([a, b], 0 /* axis */);\n    expect(res.shape).toEqual([2, 2, 2]);\n    expectArraysClose(await res.data(), [1, 2, 3, 4, 5, 6, 7, 8]);\n  });\n\n  it('[[1,2],[3,4]] and [[5, 6], [7, 8]], axis=2', async () => {\n    const a = tf.tensor2d([[1, 2], [3, 4]]);\n    const b = tf.tensor2d([[5, 6], [7, 8]]);\n    const c = tf.tensor2d([[9, 10], [11, 12]]);\n    const res = tf.stack([a, b, c], 2 /* axis */);\n    expect(res.shape).toEqual([2, 2, 3]);\n    expectArraysClose(\n        await res.data(), [1, 5, 9, 2, 6, 10, 3, 7, 11, 4, 8, 12]);\n  });\n\n  it('single tensor', async () => {\n    const a = tf.tensor2d([[1, 2], [3, 4]]);\n    const res = tf.stack([a], 2 /* axis */);\n    expect(res.shape).toEqual([2, 2, 1]);\n    expectArraysClose(await res.data(), [1, 2, 3, 4]);\n  });\n\n  it('throws when passed a non-tensor', () => {\n    expect(() => tf.stack([{} as tf.Tensor]))\n        .toThrowError(\n            /Argument 'tensors\\[0\\]' passed to 'stack' must be a Tensor/);\n  });\n\n  it('accepts a tensor-like object', async () => {\n    const a = [[1, 2], [3, 4]];\n    const res = tf.stack([a], 2 /* axis */);\n    expect(res.shape).toEqual([2, 2, 1]);\n    expectArraysClose(await res.data(), [1, 2, 3, 4]);\n  });\n\n  it('accepts string.', async () => {\n    const a = tf.scalar('three', 'string');\n    const b = tf.scalar('five', 'string');\n    const c = tf.scalar('seven', 'string');\n    const res = tf.stack([a, b, c]);\n    expect(res.shape).toEqual([3]);\n    expectArraysClose(await res.data(), ['three', 'five', 'seven']);\n  });\n\n  it('chain api', async () => {\n    const a = tf.tensor([1, 2]);\n    const res = a.stack(tf.tensor([3, 4]));\n    expect(res.shape).toEqual([2, 2]);\n    expectArraysClose(await res.data(), [1, 2, 3, 4]);\n  });\n});\n"]}