/**
 * @license
 * Copyright 2018 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';
import { scalar } from './scalar';
import { tensor1d } from './tensor1d';
import { tensor2d } from './tensor2d';
import { tensor3d } from './tensor3d';
describeWithFlags('topk', ALL_ENVS, () => {
    beforeAll(() => {
        // Ensure WebGL environment uses GPU
        if (tf.getBackend() === 'webgl') {
            tf.env().set('TOPK_LAST_DIM_CPU_HANDOFF_SIZE_THRESHOLD', 0);
            tf.env().set('TOPK_K_CPU_HANDOFF_THRESHOLD', 1024);
        }
    });
    it('1d array with k = 0', async () => {
        const a = tensor1d([20, 10, 40, 30]);
        const { values, indices } = tf.topk(a, 0);
        expect(values.shape).toEqual([0]);
        expect(indices.shape).toEqual([0]);
        expect(values.dtype).toBe('float32');
        expect(indices.dtype).toBe('int32');
        expectArraysClose(await values.data(), []);
        expectArraysClose(await indices.data(), []);
    });
    it('1d array with length 1', async () => {
        const a = tensor1d([20]);
        const { values, indices } = tf.topk(a, 1);
        expect(values.shape).toEqual([1]);
        expect(indices.shape).toEqual([1]);
        expect(values.dtype).toBe('float32');
        expect(indices.dtype).toBe('int32');
        expectArraysClose(await values.data(), [20]);
        expectArraysClose(await indices.data(), [0]);
    });
    it('1d array with default k', async () => {
        const a = tensor1d([20, 10, 40, 30]);
        const { values, indices } = tf.topk(a);
        expect(values.shape).toEqual([1]);
        expect(indices.shape).toEqual([1]);
        expect(values.dtype).toBe('float32');
        expect(indices.dtype).toBe('int32');
        expectArraysClose(await values.data(), [40]);
        expectArraysClose(await indices.data(), [2]);
    });
    it('1d array with default k from tensor.topk', async () => {
        const a = tensor1d([20, 10, 40, 30]);
        const { values, indices } = a.topk();
        expect(values.shape).toEqual([1]);
        expect(indices.shape).toEqual([1]);
        expect(values.dtype).toBe('float32');
        expect(indices.dtype).toBe('int32');
        expectArraysClose(await values.data(), [40]);
        expectArraysClose(await indices.data(), [2]);
    });
    it('2d array with default k', async () => {
        const a = tensor2d([[10, 50], [40, 30]]);
        const { values, indices } = tf.topk(a);
        expect(values.shape).toEqual([2, 1]);
        expect(indices.shape).toEqual([2, 1]);
        expect(values.dtype).toBe('float32');
        expect(indices.dtype).toBe('int32');
        expectArraysClose(await values.data(), [50, 40]);
        expectArraysClose(await indices.data(), [1, 0]);
    });
    it('2d array with k=2', async () => {
        const a = tensor2d([
            [1, 5, 2],
            [4, 3, 6],
            [3, 2, 1],
            [1, 2, 3],
        ]);
        const k = 2;
        const { values, indices } = tf.topk(a, k);
        expect(values.shape).toEqual([4, 2]);
        expect(indices.shape).toEqual([4, 2]);
        expect(values.dtype).toBe('float32');
        expect(indices.dtype).toBe('int32');
        expectArraysClose(await values.data(), [5, 2, 6, 4, 3, 2, 3, 2]);
        expectArraysClose(await indices.data(), [1, 2, 2, 0, 0, 1, 2, 1]);
    });
    it('2d array with k=2 from tensor.topk', async () => {
        const a = tensor2d([
            [1, 5, 2],
            [4, 3, 6],
            [3, 2, 1],
            [1, 2, 3],
        ]);
        const k = 2;
        const { values, indices } = a.topk(k);
        expect(values.shape).toEqual([4, 2]);
        expect(indices.shape).toEqual([4, 2]);
        expect(values.dtype).toBe('float32');
        expect(indices.dtype).toBe('int32');
        expectArraysClose(await values.data(), [5, 2, 6, 4, 3, 2, 3, 2]);
        expectArraysClose(await indices.data(), [1, 2, 2, 0, 0, 1, 2, 1]);
    });
    it('3d array with k=3', async () => {
        const a = tensor3d([
            [[1, 5, 2], [4, 3, 6]],
            [[3, 2, 1], [1, 2, 3]],
        ]); // 2x2x3.
        const k = 3;
        const { values, indices } = tf.topk(a, k);
        expect(values.shape).toEqual([2, 2, 3]);
        expect(indices.shape).toEqual([2, 2, 3]);
        expect(values.dtype).toBe('float32');
        expect(indices.dtype).toBe('int32');
        expectArraysClose(await values.data(), [5, 2, 1, 6, 4, 3, 3, 2, 1, 3, 2, 1]);
        expectArraysClose(await indices.data(), [1, 2, 0, 2, 0, 1, 0, 1, 2, 2, 1, 0]);
    });
    it('topk(int32) propagates int32 dtype', async () => {
        const a = tensor1d([2, 3, 1, 4], 'int32');
        const { values, indices } = tf.topk(a);
        expect(values.shape).toEqual([1]);
        expect(indices.shape).toEqual([1]);
        expect(values.dtype).toBe('int32');
        expect(indices.dtype).toBe('int32');
        expectArraysClose(await values.data(), [4]);
        expectArraysClose(await indices.data(), [3]);
    });
    it('lower-index element appears first, k=4', async () => {
        const a = tensor1d([1, 2, 2, 1], 'int32');
        const k = 4;
        const { values, indices } = tf.topk(a, k);
        expect(values.shape).toEqual([4]);
        expect(indices.shape).toEqual([4]);
        expect(values.dtype).toBe('int32');
        expect(indices.dtype).toBe('int32');
        expectArraysClose(await values.data(), [2, 2, 1, 1]);
        expectArraysClose(await indices.data(), [1, 2, 0, 3]);
    });
    it('lower-index element appears first, k=65', async () => {
        const a = [
            1, 1, 2, 1, 2, 1, 1, 1, 2, 2, 1, 1, 2, 1, 1, 2, 1, 1, 2, 1, 1, 2,
            1, 2, 1, 1, 1, 2, 1, 1, 2, 1, 1, 2, 1, 1, 1, 1, 2, 1, 2, 2, 2, 2,
            1, 2, 1, 2, 2, 2, 1, 2, 2, 1, 2, 2, 1, 2, 1, 1, 1, 2, 1, 2, 1
        ];
        const k = a.length;
        const { values, indices } = tf.topk(a, k);
        expectArraysClose(await values.data(), [
            2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
            2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
            1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1
        ]);
        expectArraysClose(await indices.data(), [
            2, 4, 8, 9, 12, 15, 18, 21, 23, 27, 30, 33, 38, 40, 41, 42, 43,
            45, 47, 48, 49, 51, 52, 54, 55, 57, 61, 63, 0, 1, 3, 5, 6, 7,
            10, 11, 13, 14, 16, 17, 19, 20, 22, 24, 25, 26, 28, 29, 31, 32, 34,
            35, 36, 37, 39, 44, 46, 50, 53, 56, 58, 59, 60, 62, 64
        ]);
    });
    it('lower-index element appears first, sorted=false', async () => {
        const a = [
            1, 1, 2, 1, 2, 1, 1, 1, 2, 2, 1, 1, 2, 1, 1, 2, 1, 1, 2, 1, 1, 2,
            1, 2, 1, 1, 1, 2, 1, 1, 2, 1, 1, 2, 1, 1, 1, 1, 2, 1, 2, 2, 2, 2,
            1, 2, 1, 2, 2, 2, 1, 2, 2, 1, 2, 2, 1, 2, 1, 1, 1, 2, 1, 2, 1
        ];
        const k = a.length;
        const { values, indices } = tf.topk(a, k, false);
        expect(values.shape).toEqual([k]);
        expect(indices.shape).toEqual([k]);
        expect(values.dtype).toBe('float32');
        expect(indices.dtype).toBe('int32');
        const valuesData = await values.data();
        valuesData.sort();
        expectArraysClose(valuesData, [
            1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
            1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2,
            2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2
        ]);
        const indicesData = await indices.data();
        const onesIndices = indicesData.filter((index) => a[index] === 1);
        const twosIndices = indicesData.filter((index) => a[index] === 2);
        expectArraysClose(onesIndices, [
            0, 1, 3, 5, 6, 7, 10, 11, 13, 14, 16, 17, 19,
            20, 22, 24, 25, 26, 28, 29, 31, 32, 34, 35, 36, 37,
            39, 44, 46, 50, 53, 56, 58, 59, 60, 62, 64
        ]);
        expectArraysClose(twosIndices, [
            2, 4, 8, 9, 12, 15, 18, 21, 23, 27, 30, 33, 38, 40,
            41, 42, 43, 45, 47, 48, 49, 51, 52, 54, 55, 57, 61, 63
        ]);
    });
    it('throws when k < 0', () => {
        const a = tensor2d([[10, 50], [40, 30]]);
        expect(() => tf.topk(a, -1))
            .toThrowError(/'k' passed to topk\(\) must be >= 0/);
    });
    it('throws when k > size of array', () => {
        const a = tensor2d([[10, 50], [40, 30]]);
        expect(() => tf.topk(a, 3))
            .toThrowError(/'k' passed to topk\(\) must be <= the last dimension/);
    });
    it('throws when passed a scalar', () => {
        const a = scalar(2);
        expect(() => tf.topk(a))
            .toThrowError(/topk\(\) expects the input to be of rank 1 or higher/);
    });
    it('negative infinity input', async () => {
        const a = [-Infinity, -Infinity, -Infinity, -Infinity, -Infinity];
        const k = a.length;
        const { values, indices } = tf.topk(a, k);
        expect(values.shape).toEqual([k]);
        expect(indices.shape).toEqual([k]);
        expect(values.dtype).toBe('float32');
        expect(indices.dtype).toBe('int32');
        expectArraysClose(await values.data(), a);
        expectArraysClose(await indices.data(), [0, 1, 2, 3, 4]);
    });
    it('accepts a tensor-like object, k=2', async () => {
        const a = [20, 10, 40, 30];
        const k = 2;
        const { values, indices } = tf.topk(a, k);
        expect(values.shape).toEqual([2]);
        expect(indices.shape).toEqual([2]);
        expect(values.dtype).toBe('float32');
        expect(indices.dtype).toBe('int32');
        expectArraysClose(await values.data(), [40, 30]);
        expectArraysClose(await indices.data(), [2, 3]);
    });
    it('handles output tensors from other ops', async () => {
        const a = tensor1d([20, 10, 40, 30]);
        const b = scalar(2);
        const { values, indices } = tf.topk(tf.add(a, b));
        expect(values.shape).toEqual([1]);
        expect(indices.shape).toEqual([1]);
        expect(values.dtype).toBe('float32');
        expect(indices.dtype).toBe('int32');
        expectArraysClose(await values.data(), [42]);
        expectArraysClose(await indices.data(), [2]);
    });
});
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* @license\n * Copyright 2018 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\nimport {scalar} from './scalar';\nimport {tensor1d} from './tensor1d';\nimport {tensor2d} from './tensor2d';\nimport {tensor3d} from './tensor3d';\n\ndescribeWithFlags('topk', ALL_ENVS, () => {\n  beforeAll(() => {\n    // Ensure WebGL environment uses GPU\n    if (tf.getBackend() === 'webgl') {\n      tf.env().set('TOPK_LAST_DIM_CPU_HANDOFF_SIZE_THRESHOLD', 0);\n      tf.env().set('TOPK_K_CPU_HANDOFF_THRESHOLD', 1024);\n    }\n  });\n\n  it('1d array with k = 0', async () => {\n    const a = tensor1d([20, 10, 40, 30]);\n    const {values, indices} = tf.topk(a, 0);\n\n    expect(values.shape).toEqual([0]);\n    expect(indices.shape).toEqual([0]);\n    expect(values.dtype).toBe('float32');\n    expect(indices.dtype).toBe('int32');\n    expectArraysClose(await values.data(), []);\n    expectArraysClose(await indices.data(), []);\n  });\n\n  it('1d array with length 1', async () => {\n    const a = tensor1d([20]);\n    const {values, indices} = tf.topk(a, 1);\n\n    expect(values.shape).toEqual([1]);\n    expect(indices.shape).toEqual([1]);\n    expect(values.dtype).toBe('float32');\n    expect(indices.dtype).toBe('int32');\n    expectArraysClose(await values.data(), [20]);\n    expectArraysClose(await indices.data(), [0]);\n  });\n\n  it('1d array with default k', async () => {\n    const a = tensor1d([20, 10, 40, 30]);\n    const {values, indices} = tf.topk(a);\n\n    expect(values.shape).toEqual([1]);\n    expect(indices.shape).toEqual([1]);\n    expect(values.dtype).toBe('float32');\n    expect(indices.dtype).toBe('int32');\n    expectArraysClose(await values.data(), [40]);\n    expectArraysClose(await indices.data(), [2]);\n  });\n\n  it('1d array with default k from tensor.topk', async () => {\n    const a = tensor1d([20, 10, 40, 30]);\n    const {values, indices} = a.topk();\n\n    expect(values.shape).toEqual([1]);\n    expect(indices.shape).toEqual([1]);\n    expect(values.dtype).toBe('float32');\n    expect(indices.dtype).toBe('int32');\n    expectArraysClose(await values.data(), [40]);\n    expectArraysClose(await indices.data(), [2]);\n  });\n\n  it('2d array with default k', async () => {\n    const a = tensor2d([[10, 50], [40, 30]]);\n    const {values, indices} = tf.topk(a);\n\n    expect(values.shape).toEqual([2, 1]);\n    expect(indices.shape).toEqual([2, 1]);\n    expect(values.dtype).toBe('float32');\n    expect(indices.dtype).toBe('int32');\n    expectArraysClose(await values.data(), [50, 40]);\n    expectArraysClose(await indices.data(), [1, 0]);\n  });\n\n  it('2d array with k=2', async () => {\n    const a = tensor2d([\n      [1, 5, 2],\n      [4, 3, 6],\n      [3, 2, 1],\n      [1, 2, 3],\n    ]);\n    const k = 2;\n    const {values, indices} = tf.topk(a, k);\n\n    expect(values.shape).toEqual([4, 2]);\n    expect(indices.shape).toEqual([4, 2]);\n    expect(values.dtype).toBe('float32');\n    expect(indices.dtype).toBe('int32');\n    expectArraysClose(await values.data(), [5, 2, 6, 4, 3, 2, 3, 2]);\n    expectArraysClose(await indices.data(), [1, 2, 2, 0, 0, 1, 2, 1]);\n  });\n\n  it('2d array with k=2 from tensor.topk', async () => {\n    const a = tensor2d([\n      [1, 5, 2],\n      [4, 3, 6],\n      [3, 2, 1],\n      [1, 2, 3],\n    ]);\n    const k = 2;\n    const {values, indices} = a.topk(k);\n\n    expect(values.shape).toEqual([4, 2]);\n    expect(indices.shape).toEqual([4, 2]);\n    expect(values.dtype).toBe('float32');\n    expect(indices.dtype).toBe('int32');\n    expectArraysClose(await values.data(), [5, 2, 6, 4, 3, 2, 3, 2]);\n    expectArraysClose(await indices.data(), [1, 2, 2, 0, 0, 1, 2, 1]);\n  });\n\n  it('3d array with k=3', async () => {\n    const a = tensor3d([\n      [[1, 5, 2], [4, 3, 6]],\n      [[3, 2, 1], [1, 2, 3]],\n    ]);  // 2x2x3.\n    const k = 3;\n    const {values, indices} = tf.topk(a, k);\n\n    expect(values.shape).toEqual([2, 2, 3]);\n    expect(indices.shape).toEqual([2, 2, 3]);\n    expect(values.dtype).toBe('float32');\n    expect(indices.dtype).toBe('int32');\n    expectArraysClose(\n        await values.data(), [5, 2, 1, 6, 4, 3, 3, 2, 1, 3, 2, 1]);\n    expectArraysClose(\n        await indices.data(), [1, 2, 0, 2, 0, 1, 0, 1, 2, 2, 1, 0]);\n  });\n\n  it('topk(int32) propagates int32 dtype', async () => {\n    const a = tensor1d([2, 3, 1, 4], 'int32');\n    const {values, indices} = tf.topk(a);\n\n    expect(values.shape).toEqual([1]);\n    expect(indices.shape).toEqual([1]);\n    expect(values.dtype).toBe('int32');\n    expect(indices.dtype).toBe('int32');\n    expectArraysClose(await values.data(), [4]);\n    expectArraysClose(await indices.data(), [3]);\n  });\n\n  it('lower-index element appears first, k=4', async () => {\n    const a = tensor1d([1, 2, 2, 1], 'int32');\n    const k = 4;\n    const {values, indices} = tf.topk(a, k);\n\n    expect(values.shape).toEqual([4]);\n    expect(indices.shape).toEqual([4]);\n    expect(values.dtype).toBe('int32');\n    expect(indices.dtype).toBe('int32');\n    expectArraysClose(await values.data(), [2, 2, 1, 1]);\n    expectArraysClose(await indices.data(), [1, 2, 0, 3]);\n  });\n\n  it('lower-index element appears first, k=65', async () => {\n    const a = [\n      1, 1, 2, 1, 2, 1, 1, 1, 2, 2, 1, 1, 2, 1, 1, 2, 1, 1, 2, 1, 1, 2,\n      1, 2, 1, 1, 1, 2, 1, 1, 2, 1, 1, 2, 1, 1, 1, 1, 2, 1, 2, 2, 2, 2,\n      1, 2, 1, 2, 2, 2, 1, 2, 2, 1, 2, 2, 1, 2, 1, 1, 1, 2, 1, 2, 1\n    ];\n    const k = a.length;\n    const {values, indices} = tf.topk(a, k);\n\n    expectArraysClose(await values.data(), [\n      2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n      2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n      1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1\n    ]);\n    expectArraysClose(await indices.data(), [\n      2,  4,  8,  9,  12, 15, 18, 21, 23, 27, 30, 33, 38, 40, 41, 42, 43,\n      45, 47, 48, 49, 51, 52, 54, 55, 57, 61, 63, 0,  1,  3,  5,  6,  7,\n      10, 11, 13, 14, 16, 17, 19, 20, 22, 24, 25, 26, 28, 29, 31, 32, 34,\n      35, 36, 37, 39, 44, 46, 50, 53, 56, 58, 59, 60, 62, 64\n    ]);\n  });\n\n  it('lower-index element appears first, sorted=false', async () => {\n    const a = [\n      1, 1, 2, 1, 2, 1, 1, 1, 2, 2, 1, 1, 2, 1, 1, 2, 1, 1, 2, 1, 1, 2,\n      1, 2, 1, 1, 1, 2, 1, 1, 2, 1, 1, 2, 1, 1, 1, 1, 2, 1, 2, 2, 2, 2,\n      1, 2, 1, 2, 2, 2, 1, 2, 2, 1, 2, 2, 1, 2, 1, 1, 1, 2, 1, 2, 1\n    ];\n    const k = a.length;\n    const {values, indices} = tf.topk(a, k, false);\n\n    expect(values.shape).toEqual([k]);\n    expect(indices.shape).toEqual([k]);\n    expect(values.dtype).toBe('float32');\n    expect(indices.dtype).toBe('int32');\n\n    const valuesData = await values.data();\n    valuesData.sort();\n    expectArraysClose(valuesData, [\n      1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n      1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2,\n      2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2\n    ]);\n\n    const indicesData = await indices.data();\n    const onesIndices = indicesData.filter((index: number) => a[index] === 1);\n    const twosIndices = indicesData.filter((index: number) => a[index] === 2);\n    expectArraysClose(onesIndices, [\n      0,  1,  3,  5,  6,  7,  10, 11, 13, 14, 16, 17, 19,\n      20, 22, 24, 25, 26, 28, 29, 31, 32, 34, 35, 36, 37,\n      39, 44, 46, 50, 53, 56, 58, 59, 60, 62, 64\n    ]);\n    expectArraysClose(twosIndices, [\n      2,  4,  8,  9,  12, 15, 18, 21, 23, 27, 30, 33, 38, 40,\n      41, 42, 43, 45, 47, 48, 49, 51, 52, 54, 55, 57, 61, 63\n    ]);\n  });\n\n  it('throws when k < 0', () => {\n    const a = tensor2d([[10, 50], [40, 30]]);\n    expect(() => tf.topk(a, -1))\n        .toThrowError(/'k' passed to topk\\(\\) must be >= 0/);\n  });\n\n  it('throws when k > size of array', () => {\n    const a = tensor2d([[10, 50], [40, 30]]);\n    expect(() => tf.topk(a, 3))\n        .toThrowError(/'k' passed to topk\\(\\) must be <= the last dimension/);\n  });\n\n  it('throws when passed a scalar', () => {\n    const a = scalar(2);\n    expect(() => tf.topk(a))\n        .toThrowError(/topk\\(\\) expects the input to be of rank 1 or higher/);\n  });\n\n  it('negative infinity input', async () => {\n    const a = [-Infinity, -Infinity, -Infinity, -Infinity, -Infinity];\n    const k = a.length;\n    const {values, indices} = tf.topk(a, k);\n\n    expect(values.shape).toEqual([k]);\n    expect(indices.shape).toEqual([k]);\n    expect(values.dtype).toBe('float32');\n    expect(indices.dtype).toBe('int32');\n    expectArraysClose(await values.data(), a);\n    expectArraysClose(await indices.data(), [0, 1, 2, 3, 4]);\n  });\n\n  it('accepts a tensor-like object, k=2', async () => {\n    const a = [20, 10, 40, 30];\n    const k = 2;\n    const {values, indices} = tf.topk(a, k);\n\n    expect(values.shape).toEqual([2]);\n    expect(indices.shape).toEqual([2]);\n    expect(values.dtype).toBe('float32');\n    expect(indices.dtype).toBe('int32');\n    expectArraysClose(await values.data(), [40, 30]);\n    expectArraysClose(await indices.data(), [2, 3]);\n  });\n\n  it('handles output tensors from other ops', async () => {\n    const a = tensor1d([20, 10, 40, 30]);\n    const b = scalar(2);\n    const {values, indices} = tf.topk(tf.add(a, b));\n\n    expect(values.shape).toEqual([1]);\n    expect(indices.shape).toEqual([1]);\n    expect(values.dtype).toBe('float32');\n    expect(indices.dtype).toBe('int32');\n    expectArraysClose(await values.data(), [42]);\n    expectArraysClose(await indices.data(), [2]);\n  });\n});\n"]}