/**
 * @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';

// Because euclidean is the default norm option, the norm_test covers
// the tests for euclideanNorm. Here we basically just test the API
// can be called correctly.
describeWithFlags('euclideanNorm', ALL_ENVS, () => {
  it('vector euclidean norm', async () => {
    const a = tf.tensor1d([1, -2, 3, -4]);
    const result = tf.euclideanNorm(a);

    expect(result.dtype).toBe('float32');
    expectArraysClose(await result.data(), 5.4772);
  });
});
