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chenyc

2025-02-12 ea42ff3ebee1eeb3fb29423aa848a249441db81c

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/**
 * @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('setdiff1dAsync', ALL_ENVS, () => {
    it('1d int32 tensor', async () => {
        const x = tf.tensor1d([1, 2, 3, 4], 'int32');
        const y = tf.tensor1d([1, 2], 'int32');
        const [out, indices] = await tf.setdiff1dAsync(x, y);
        expect(out.dtype).toBe('int32');
        expect(indices.dtype).toBe('int32');
        expect(out.shape).toEqual([2]);
        expect(indices.shape).toEqual([2]);
        expectArraysClose(await out.data(), [3, 4]);
        expectArraysClose(await indices.data(), [2, 3]);
    });
    it('1d float32 tensor', async () => {
        const x = tf.tensor1d([1, 2, 3, 4], 'float32');
        const y = tf.tensor1d([1, 3], 'float32');
        const [out, indices] = await tf.setdiff1dAsync(x, y);
        expect(out.dtype).toBe('float32');
        expect(indices.dtype).toBe('int32');
        expect(out.shape).toEqual([2]);
        expect(indices.shape).toEqual([2]);
        expectArraysClose(await out.data(), [2, 4]);
        expectArraysClose(await indices.data(), [1, 3]);
    });
    it('empty output', async () => {
        const x = tf.tensor1d([1, 2, 3, 4], 'float32');
        const y = tf.tensor1d([1, 2, 3, 4], 'float32');
        const [out, indices] = await tf.setdiff1dAsync(x, y);
        expect(out.dtype).toBe('float32');
        expect(indices.dtype).toBe('int32');
        expect(out.shape).toEqual([0]);
        expect(indices.shape).toEqual([0]);
        expectArraysClose(await out.data(), []);
        expectArraysClose(await indices.data(), []);
    });
    it('tensor like', async () => {
        const x = [1, 2, 3, 4];
        const y = [1, 3];
        const [out, indices] = await tf.setdiff1dAsync(x, y);
        expect(out.dtype).toBe('float32');
        expect(indices.dtype).toBe('int32');
        expect(out.shape).toEqual([2]);
        expect(indices.shape).toEqual([2]);
        expectArraysClose(await out.data(), [2, 4]);
        expectArraysClose(await indices.data(), [1, 3]);
    });
    it('should throw if x is not 1d', async () => {
        const x = tf.tensor2d([1, 2, 3, 4], [4, 1], 'float32');
        const y = tf.tensor1d([1, 2, 3, 4], 'float32');
        try {
            await tf.setdiff1dAsync(x, y);
            throw new Error('The line above should have thrown an error');
        }
        catch (ex) {
            expect(ex.message).toBe('x should be 1D tensor, but got x (4,1).');
        }
    });
    it('should throw if y is not 1d', async () => {
        const x = tf.tensor1d([1, 2, 3, 4], 'float32');
        const y = tf.tensor2d([1, 2, 3, 4], [4, 1], 'float32');
        try {
            await tf.setdiff1dAsync(x, y);
            throw new Error('The line above should have thrown an error');
        }
        catch (ex) {
            expect(ex.message).toBe('y should be 1D tensor, but got y (4,1).');
        }
    });
    it('should throw if x and y dtype mismatch', async () => {
        const x = tf.tensor1d([1, 2, 3, 4], 'float32');
        const y = tf.tensor1d([1, 2, 3, 4], 'int32');
        try {
            await tf.setdiff1dAsync(x, y);
            throw new Error('The line above should have thrown an error');
        }
        catch (ex) {
            expect(ex.message)
                .toBe('x and y should have the same dtype,' +
                ' but got x (float32) and y (int32).');
        }
    });
});
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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('setdiff1dAsync', ALL_ENVS, () => {\n  it('1d int32 tensor', async () => {\n    const x = tf.tensor1d([1, 2, 3, 4], 'int32');\n    const y = tf.tensor1d([1, 2], 'int32');\n    const [out, indices] = await tf.setdiff1dAsync(x, y);\n    expect(out.dtype).toBe('int32');\n    expect(indices.dtype).toBe('int32');\n    expect(out.shape).toEqual([2]);\n    expect(indices.shape).toEqual([2]);\n    expectArraysClose(await out.data(), [3, 4]);\n    expectArraysClose(await indices.data(), [2, 3]);\n  });\n\n  it('1d float32 tensor', async () => {\n    const x = tf.tensor1d([1, 2, 3, 4], 'float32');\n    const y = tf.tensor1d([1, 3], 'float32');\n    const [out, indices] = await tf.setdiff1dAsync(x, y);\n    expect(out.dtype).toBe('float32');\n    expect(indices.dtype).toBe('int32');\n    expect(out.shape).toEqual([2]);\n    expect(indices.shape).toEqual([2]);\n    expectArraysClose(await out.data(), [2, 4]);\n    expectArraysClose(await indices.data(), [1, 3]);\n  });\n\n  it('empty output', async () => {\n    const x = tf.tensor1d([1, 2, 3, 4], 'float32');\n    const y = tf.tensor1d([1, 2, 3, 4], 'float32');\n    const [out, indices] = await tf.setdiff1dAsync(x, y);\n    expect(out.dtype).toBe('float32');\n    expect(indices.dtype).toBe('int32');\n    expect(out.shape).toEqual([0]);\n    expect(indices.shape).toEqual([0]);\n    expectArraysClose(await out.data(), []);\n    expectArraysClose(await indices.data(), []);\n  });\n\n  it('tensor like', async () => {\n    const x = [1, 2, 3, 4];\n    const y = [1, 3];\n    const [out, indices] = await tf.setdiff1dAsync(x, y);\n    expect(out.dtype).toBe('float32');\n    expect(indices.dtype).toBe('int32');\n    expect(out.shape).toEqual([2]);\n    expect(indices.shape).toEqual([2]);\n    expectArraysClose(await out.data(), [2, 4]);\n    expectArraysClose(await indices.data(), [1, 3]);\n  });\n\n  it('should throw if x is not 1d', async () => {\n    const x = tf.tensor2d([1, 2, 3, 4], [4, 1], 'float32');\n    const y = tf.tensor1d([1, 2, 3, 4], 'float32');\n    try {\n      await tf.setdiff1dAsync(x, y);\n      throw new Error('The line above should have thrown an error');\n    } catch (ex) {\n      expect(ex.message).toBe('x should be 1D tensor, but got x (4,1).');\n    }\n  });\n\n  it('should throw if y is not 1d', async () => {\n    const x = tf.tensor1d([1, 2, 3, 4], 'float32');\n    const y = tf.tensor2d([1, 2, 3, 4], [4, 1], 'float32');\n    try {\n      await tf.setdiff1dAsync(x, y);\n      throw new Error('The line above should have thrown an error');\n    } catch (ex) {\n      expect(ex.message).toBe('y should be 1D tensor, but got y (4,1).');\n    }\n  });\n\n  it('should throw if x and y dtype mismatch', async () => {\n    const x = tf.tensor1d([1, 2, 3, 4], 'float32');\n    const y = tf.tensor1d([1, 2, 3, 4], 'int32');\n    try {\n      await tf.setdiff1dAsync(x, y);\n      throw new Error('The line above should have thrown an error');\n    } catch (ex) {\n      expect(ex.message)\n          .toBe(\n              'x and y should have the same dtype,' +\n              ' but got x (float32) and y (int32).');\n    }\n  });\n});\n"]}