/**
 * @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('stft', ALL_ENVS, () => {
    it('3 length with hann window', async () => {
        const input = tf.tensor1d([1, 1, 1, 1, 1]);
        const frameLength = 3;
        const frameStep = 1;
        const output = tf.signal.stft(input, frameLength, frameStep);
        expect(output.shape).toEqual([3, 3]);
        expectArraysClose(await output.data(), [
            1.0,
            0.0,
            0.0,
            -1.0,
            -1.0,
            0.0,
            1.0,
            0.0,
            0.0,
            -1.0,
            -1.0,
            0.0,
            1.0,
            0.0,
            0.0,
            -1.0,
            -1.0,
            0.0,
        ]);
    });
    it('3 length with hann window (sequencial number)', async () => {
        const input = tf.tensor1d([1, 2, 3, 4, 5]);
        const frameLength = 3;
        const frameStep = 1;
        const output = tf.signal.stft(input, frameLength, frameStep);
        expect(output.shape).toEqual([3, 3]);
        expectArraysClose(await output.data(), [
            2.0, 0.0, 0.0, -2.0, -2.0, 0.0, 3.0, 0.0, 0.0, -3.0, -3.0, 0.0, 4.0, 0.0,
            0.0, -4.0, -4.0, 0.0
        ]);
    });
    it('3 length, 2 step with hann window', async () => {
        const input = tf.tensor1d([1, 1, 1, 1, 1]);
        const frameLength = 3;
        const frameStep = 2;
        const output = tf.signal.stft(input, frameLength, frameStep);
        expect(output.shape).toEqual([2, 3]);
        expectArraysClose(await output.data(), [1.0, 0.0, 0.0, -1.0, -1.0, 0.0, 1.0, 0.0, 0.0, -1.0, -1.0, 0.0]);
    });
    it('3 fftLength, 5 frameLength, 2 step', async () => {
        const input = tf.tensor1d([1, 1, 1, 1, 1, 1]);
        const frameLength = 5;
        const frameStep = 1;
        const fftLength = 3;
        const output = tf.signal.stft(input, frameLength, frameStep, fftLength);
        expect(output.shape[0]).toEqual(2);
        expectArraysClose(await output.data(), [1.5, 0.0, -0.749999, 0.433, 1.5, 0.0, -0.749999, 0.433]);
    });
    it('5 length with hann window', async () => {
        const input = tf.tensor1d([1, 1, 1, 1, 1]);
        const frameLength = 5;
        const frameStep = 1;
        const output = tf.signal.stft(input, frameLength, frameStep);
        expect(output.shape).toEqual([1, 5]);
        expectArraysClose(await output.data(), [2.0, 0.0, 0.0, -1.7071068, -1.0, 0.0, 0.0, 0.29289323, 0.0, 0.0]);
    });
    it('5 length with hann window (sequential)', async () => {
        const input = tf.tensor1d([1, 2, 3, 4, 5]);
        const frameLength = 5;
        const frameStep = 1;
        const output = tf.signal.stft(input, frameLength, frameStep);
        expect(output.shape).toEqual([1, 5]);
        expectArraysClose(await output.data(), [
            6.0, 0.0, -0.70710677, -5.1213202, -3.0, 1.0, 0.70710677, 0.87867975, 0.0,
            0.0
        ]);
    });
    it('3 length with hamming window', async () => {
        const input = tf.tensor1d([1, 1, 1, 1, 1]);
        const frameLength = 3;
        const frameStep = 1;
        const fftLength = 3;
        const output = tf.signal.stft(input, frameLength, frameStep, fftLength, (length) => tf.signal.hammingWindow(length));
        expect(output.shape).toEqual([3, 2]);
        expectArraysClose(await output.data(), [
            1.16, 0.0, -0.46, -0.79674333, 1.16, 0.0, -0.46, -0.79674333, 1.16, 0.0,
            -0.46, -0.79674333
        ]);
    });
    it('3 length, 2 step with hamming window', async () => {
        const input = tf.tensor1d([1, 1, 1, 1, 1]);
        const frameLength = 3;
        const frameStep = 2;
        const fftLength = 3;
        const output = tf.signal.stft(input, frameLength, frameStep, fftLength, (length) => tf.signal.hammingWindow(length));
        expect(output.shape).toEqual([2, 2]);
        expectArraysClose(await output.data(), [1.16, 0.0, -0.46, -0.79674333, 1.16, 0.0, -0.46, -0.79674333]);
    });
    it('3 fftLength, 5 frameLength, 2 step with hamming window', async () => {
        const input = tf.tensor1d([1, 1, 1, 1, 1, 1]);
        const frameLength = 5;
        const frameStep = 1;
        const fftLength = 3;
        const output = tf.signal.stft(input, frameLength, frameStep, fftLength, (length) => tf.signal.hammingWindow(length));
        expect(output.shape).toEqual([2, 2]);
        expectArraysClose(await output.data(), [1.619999, 0.0, -0.69, 0.39837, 1.619999, 0.0, -0.69, 0.39837]);
    });
    it('5 length with hann window (sequential)', async () => {
        const input = tf.tensor1d([1, 2, 3, 4, 5]);
        const frameLength = 5;
        const frameStep = 1;
        const fftLength = 5;
        const output = tf.signal.stft(input, frameLength, frameStep, fftLength, (length) => tf.signal.hammingWindow(length));
        expect(output.shape).toEqual([1, 3]);
        expectArraysClose(await output.data(), [6.72, 0.0, -3.6371822, -1.1404576, 0.4771822, 0.39919350]);
    });
    it('3 length without window function', async () => {
        const input = tf.tensor1d([1, 1, 1, 1, 1]);
        const frameLength = 3;
        const frameStep = 1;
        const fftLength = 3;
        const ident = (length) => tf.ones([length]).as1D();
        const output = tf.signal.stft(input, frameLength, frameStep, fftLength, ident);
        expect(output.shape).toEqual([3, 2]);
        expectArraysClose(await output.data(), [3.0, 0.0, 0.0, 0.0, 3.0, 0.0, 0.0, 0.0, 3.0, 0.0, 0.0, 0.0]);
    });
    it('3 length, 2 step without window function', async () => {
        const input = tf.tensor1d([1, 1, 1, 1, 1]);
        const frameLength = 3;
        const frameStep = 2;
        const fftLength = 3;
        const ident = (length) => tf.ones([length]).as1D();
        const output = tf.signal.stft(input, frameLength, frameStep, fftLength, ident);
        expect(output.shape).toEqual([2, 2]);
        expectArraysClose(await output.data(), [3.0, 0.0, 0.0, 0.0, 3.0, 0.0, 0.0, 0.0]);
    });
});
//# sourceMappingURL=data:application/json;base64,{"version":3,"file":"stft_test.js","sourceRoot":"","sources":["../../../../../../../tfjs-core/src/ops/signal/stft_test.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,KAAK,EAAE,MAAM,aAAa,CAAC;AAClC,OAAO,EAAC,QAAQ,EAAE,iBAAiB,EAAC,MAAM,oBAAoB,CAAC;AAC/D,OAAO,EAAC,iBAAiB,EAAC,MAAM,iBAAiB,CAAC;AAElD,iBAAiB,CAAC,MAAM,EAAE,QAAQ,EAAE,GAAG,EAAE;IACvC,EAAE,CAAC,2BAA2B,EAAE,KAAK,IAAI,EAAE;QACzC,MAAM,KAAK,GAAG,EAAE,CAAC,QAAQ,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QAC3C,MAAM,WAAW,GAAG,CAAC,CAAC;QACtB,MAAM,SAAS,GAAG,CAAC,CAAC;QACpB,MAAM,MAAM,GAAG,EAAE,CAAC,MAAM,CAAC,IAAI,CAAC,KAAK,EAAE,WAAW,EAAE,SAAS,CAAC,CAAC;QAC7D,MAAM,CAAC,MAAM,CAAC,KAAK,CAAC,CAAC,OAAO,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QACrC,iBAAiB,CAAC,MAAM,MAAM,CAAC,IAAI,EAAE,EAAE;YACrC,GAAG;YACH,GAAG;YACH,GAAG;YACH,CAAC,GAAG;YACJ,CAAC,GAAG;YACJ,GAAG;YACH,GAAG;YACH,GAAG;YACH,GAAG;YACH,CAAC,GAAG;YACJ,CAAC,GAAG;YACJ,GAAG;YACH,GAAG;YACH,GAAG;YACH,GAAG;YACH,CAAC,GAAG;YACJ,CAAC,GAAG;YACJ,GAAG;SACJ,CAAC,CAAC;IACL,CAAC,CAAC,CAAC;IAEH,EAAE,CAAC,+CAA+C,EAAE,KAAK,IAAI,EAAE;QAC7D,MAAM,KAAK,GAAG,EAAE,CAAC,QAAQ,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QAC3C,MAAM,WAAW,GAAG,CAAC,CAAC;QACtB,MAAM,SAAS,GAAG,CAAC,CAAC;QACpB,MAAM,MAAM,GAAG,EAAE,CAAC,MAAM,CAAC,IAAI,CAAC,KAAK,EAAE,WAAW,EAAE,SAAS,CAAC,CAAC;QAC7D,MAAM,CAAC,MAAM,CAAC,KAAK,CAAC,CAAC,OAAO,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QACrC,iBAAiB,CAAC,MAAM,MAAM,CAAC,IAAI,EAAE,EAAE;YACrC,GAAG,EAAE,GAAG,EAAE,GAAG,EAAE,CAAC,GAAG,EAAE,CAAC,GAAG,EAAE,GAAG,EAAE,GAAG,EAAE,GAAG,EAAE,GAAG,EAAE,CAAC,GAAG,EAAE,CAAC,GAAG,EAAE,GAAG,EAAE,GAAG,EAAE,GAAG;YACxE,GAAG,EAAE,CAAC,GAAG,EAAE,CAAC,GAAG,EAAE,GAAG;SACrB,CAAC,CAAC;IACL,CAAC,CAAC,CAAC;IAEH,EAAE,CAAC,mCAAmC,EAAE,KAAK,IAAI,EAAE;QACjD,MAAM,KAAK,GAAG,EAAE,CAAC,QAAQ,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QAC3C,MAAM,WAAW,GAAG,CAAC,CAAC;QACtB,MAAM,SAAS,GAAG,CAAC,CAAC;QACpB,MAAM,MAAM,GAAG,EAAE,CAAC,MAAM,CAAC,IAAI,CAAC,KAAK,EAAE,WAAW,EAAE,SAAS,CAAC,CAAC;QAC7D,MAAM,CAAC,MAAM,CAAC,KAAK,CAAC,CAAC,OAAO,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QACrC,iBAAiB,CACb,MAAM,MAAM,CAAC,IAAI,EAAE,EACnB,CAAC,GAAG,EAAE,GAAG,EAAE,GAAG,EAAE,CAAC,GAAG,EAAE,CAAC,GAAG,EAAE,GAAG,EAAE,GAAG,EAAE,GAAG,EAAE,GAAG,EAAE,CAAC,GAAG,EAAE,CAAC,GAAG,EAAE,GAAG,CAAC,CAAC,CAAC;IACxE,CAAC,CAAC,CAAC;IAEH,EAAE,CAAC,oCAAoC,EAAE,KAAK,IAAI,EAAE;QAClD,MAAM,KAAK,GAAG,EAAE,CAAC,QAAQ,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QAC9C,MAAM,WAAW,GAAG,CAAC,CAAC;QACtB,MAAM,SAAS,GAAG,CAAC,CAAC;QACpB,MAAM,SAAS,GAAG,CAAC,CAAC;QACpB,MAAM,MAAM,GAAG,EAAE,CAAC,MAAM,CAAC,IAAI,CAAC,KAAK,EAAE,WAAW,EAAE,SAAS,EAAE,SAAS,CAAC,CAAC;QACxE,MAAM,CAAC,MAAM,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,CAAC,CAAC;QACnC,iBAAiB,CACb,MAAM,MAAM,CAAC,IAAI,EAAE,EACnB,CAAC,GAAG,EAAE,GAAG,EAAE,CAAC,QAAQ,EAAE,KAAK,EAAE,GAAG,EAAE,GAAG,EAAE,CAAC,QAAQ,EAAE,KAAK,CAAC,CAAC,CAAC;IAChE,CAAC,CAAC,CAAC;IAEH,EAAE,CAAC,2BAA2B,EAAE,KAAK,IAAI,EAAE;QACzC,MAAM,KAAK,GAAG,EAAE,CAAC,QAAQ,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QAC3C,MAAM,WAAW,GAAG,CAAC,CAAC;QACtB,MAAM,SAAS,GAAG,CAAC,CAAC;QACpB,MAAM,MAAM,GAAG,EAAE,CAAC,MAAM,CAAC,IAAI,CAAC,KAAK,EAAE,WAAW,EAAE,SAAS,CAAC,CAAC;QAC7D,MAAM,CAAC,MAAM,CAAC,KAAK,CAAC,CAAC,OAAO,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QACrC,iBAAiB,CACb,MAAM,MAAM,CAAC,IAAI,EAAE,EACnB,CAAC,GAAG,EAAE,GAAG,EAAE,GAAG,EAAE,CAAC,SAAS,EAAE,CAAC,GAAG,EAAE,GAAG,EAAE,GAAG,EAAE,UAAU,EAAE,GAAG,EAAE,GAAG,CAAC,CAAC,CAAC;IACzE,CAAC,CAAC,CAAC;IAEH,EAAE,CAAC,wCAAwC,EAAE,KAAK,IAAI,EAAE;QACtD,MAAM,KAAK,GAAG,EAAE,CAAC,QAAQ,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QAC3C,MAAM,WAAW,GAAG,CAAC,CAAC;QACtB,MAAM,SAAS,GAAG,CAAC,CAAC;QACpB,MAAM,MAAM,GAAG,EAAE,CAAC,MAAM,CAAC,IAAI,CAAC,KAAK,EAAE,WAAW,EAAE,SAAS,CAAC,CAAC;QAC7D,MAAM,CAAC,MAAM,CAAC,KAAK,CAAC,CAAC,OAAO,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QACrC,iBAAiB,CAAC,MAAM,MAAM,CAAC,IAAI,EAAE,EAAE;YACrC,GAAG,EAAE,GAAG,EAAE,CAAC,UAAU,EAAE,CAAC,SAAS,EAAE,CAAC,GAAG,EAAE,GAAG,EAAE,UAAU,EAAE,UAAU,EAAE,GAAG;YACzE,GAAG;SACJ,CAAC,CAAC;IACL,CAAC,CAAC,CAAC;IAEH,EAAE,CAAC,8BAA8B,EAAE,KAAK,IAAI,EAAE;QAC5C,MAAM,KAAK,GAAG,EAAE,CAAC,QAAQ,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QAC3C,MAAM,WAAW,GAAG,CAAC,CAAC;QACtB,MAAM,SAAS,GAAG,CAAC,CAAC;QACpB,MAAM,SAAS,GAAG,CAAC,CAAC;QACpB,MAAM,MAAM,GAAG,EAAE,CAAC,MAAM,CAAC,IAAI,CACzB,KAAK,EAAE,WAAW,EAAE,SAAS,EAAE,SAAS,EACxC,CAAC,MAAM,EAAE,EAAE,CAAC,EAAE,CAAC,MAAM,CAAC,aAAa,CAAC,MAAM,CAAC,CAAC,CAAC;QACjD,MAAM,CAAC,MAAM,CAAC,KAAK,CAAC,CAAC,OAAO,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QACrC,iBAAiB,CAAC,MAAM,MAAM,CAAC,IAAI,EAAE,EAAE;YACrC,IAAI,EAAE,GAAG,EAAE,CAAC,IAAI,EAAE,CAAC,UAAU,EAAE,IAAI,EAAE,GAAG,EAAE,CAAC,IAAI,EAAE,CAAC,UAAU,EAAE,IAAI,EAAE,GAAG;YACvE,CAAC,IAAI,EAAE,CAAC,UAAU;SACnB,CAAC,CAAC;IACL,CAAC,CAAC,CAAC;IAEH,EAAE,CAAC,sCAAsC,EAAE,KAAK,IAAI,EAAE;QACpD,MAAM,KAAK,GAAG,EAAE,CAAC,QAAQ,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QAC3C,MAAM,WAAW,GAAG,CAAC,CAAC;QACtB,MAAM,SAAS,GAAG,CAAC,CAAC;QACpB,MAAM,SAAS,GAAG,CAAC,CAAC;QACpB,MAAM,MAAM,GAAG,EAAE,CAAC,MAAM,CAAC,IAAI,CACzB,KAAK,EAAE,WAAW,EAAE,SAAS,EAAE,SAAS,EACxC,CAAC,MAAM,EAAE,EAAE,CAAC,EAAE,CAAC,MAAM,CAAC,aAAa,CAAC,MAAM,CAAC,CAAC,CAAC;QACjD,MAAM,CAAC,MAAM,CAAC,KAAK,CAAC,CAAC,OAAO,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QACrC,iBAAiB,CACb,MAAM,MAAM,CAAC,IAAI,EAAE,EACnB,CAAC,IAAI,EAAE,GAAG,EAAE,CAAC,IAAI,EAAE,CAAC,UAAU,EAAE,IAAI,EAAE,GAAG,EAAE,CAAC,IAAI,EAAE,CAAC,UAAU,CAAC,CAAC,CAAC;IACtE,CAAC,CAAC,CAAC;IAEH,EAAE,CAAC,wDAAwD,EAAE,KAAK,IAAI,EAAE;QACtE,MAAM,KAAK,GAAG,EAAE,CAAC,QAAQ,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QAC9C,MAAM,WAAW,GAAG,CAAC,CAAC;QACtB,MAAM,SAAS,GAAG,CAAC,CAAC;QACpB,MAAM,SAAS,GAAG,CAAC,CAAC;QACpB,MAAM,MAAM,GAAG,EAAE,CAAC,MAAM,CAAC,IAAI,CACzB,KAAK,EAAE,WAAW,EAAE,SAAS,EAAE,SAAS,EACxC,CAAC,MAAM,EAAE,EAAE,CAAC,EAAE,CAAC,MAAM,CAAC,aAAa,CAAC,MAAM,CAAC,CAAC,CAAC;QACjD,MAAM,CAAC,MAAM,CAAC,KAAK,CAAC,CAAC,OAAO,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QACrC,iBAAiB,CACb,MAAM,MAAM,CAAC,IAAI,EAAE,EACnB,CAAC,QAAQ,EAAE,GAAG,EAAE,CAAC,IAAI,EAAE,OAAO,EAAE,QAAQ,EAAE,GAAG,EAAE,CAAC,IAAI,EAAE,OAAO,CAAC,CAAC,CAAC;IACtE,CAAC,CAAC,CAAC;IAEH,EAAE,CAAC,wCAAwC,EAAE,KAAK,IAAI,EAAE;QACtD,MAAM,KAAK,GAAG,EAAE,CAAC,QAAQ,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QAC3C,MAAM,WAAW,GAAG,CAAC,CAAC;QACtB,MAAM,SAAS,GAAG,CAAC,CAAC;QACpB,MAAM,SAAS,GAAG,CAAC,CAAC;QACpB,MAAM,MAAM,GAAG,EAAE,CAAC,MAAM,CAAC,IAAI,CACzB,KAAK,EAAE,WAAW,EAAE,SAAS,EAAE,SAAS,EACxC,CAAC,MAAM,EAAE,EAAE,CAAC,EAAE,CAAC,MAAM,CAAC,aAAa,CAAC,MAAM,CAAC,CAAC,CAAC;QACjD,MAAM,CAAC,MAAM,CAAC,KAAK,CAAC,CAAC,OAAO,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QACrC,iBAAiB,CACb,MAAM,MAAM,CAAC,IAAI,EAAE,EACnB,CAAC,IAAI,EAAE,GAAG,EAAE,CAAC,SAAS,EAAE,CAAC,SAAS,EAAE,SAAS,EAAE,UAAU,CAAC,CAAC,CAAC;IAClE,CAAC,CAAC,CAAC;IAEH,EAAE,CAAC,kCAAkC,EAAE,KAAK,IAAI,EAAE;QAChD,MAAM,KAAK,GAAG,EAAE,CAAC,QAAQ,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QAC3C,MAAM,WAAW,GAAG,CAAC,CAAC;QACtB,MAAM,SAAS,GAAG,CAAC,CAAC;QACpB,MAAM,SAAS,GAAG,CAAC,CAAC;QACpB,MAAM,KAAK,GAAG,CAAC,MAAc,EAAE,EAAE,CAAC,EAAE,CAAC,IAAI,CAAC,CAAC,MAAM,CAAC,CAAC,CAAC,IAAI,EAAE,CAAC;QAC3D,MAAM,MAAM,GACR,EAAE,CAAC,MAAM,CAAC,IAAI,CAAC,KAAK,EAAE,WAAW,EAAE,SAAS,EAAE,SAAS,EAAE,KAAK,CAAC,CAAC;QACpE,MAAM,CAAC,MAAM,CAAC,KAAK,CAAC,CAAC,OAAO,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QACrC,iBAAiB,CACb,MAAM,MAAM,CAAC,IAAI,EAAE,EACnB,CAAC,GAAG,EAAE,GAAG,EAAE,GAAG,EAAE,GAAG,EAAE,GAAG,EAAE,GAAG,EAAE,GAAG,EAAE,GAAG,EAAE,GAAG,EAAE,GAAG,EAAE,GAAG,EAAE,GAAG,CAAC,CAAC,CAAC;IACpE,CAAC,CAAC,CAAC;IAEH,EAAE,CAAC,0CAA0C,EAAE,KAAK,IAAI,EAAE;QACxD,MAAM,KAAK,GAAG,EAAE,CAAC,QAAQ,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QAC3C,MAAM,WAAW,GAAG,CAAC,CAAC;QACtB,MAAM,SAAS,GAAG,CAAC,CAAC;QACpB,MAAM,SAAS,GAAG,CAAC,CAAC;QACpB,MAAM,KAAK,GAAG,CAAC,MAAc,EAAE,EAAE,CAAC,EAAE,CAAC,IAAI,CAAC,CAAC,MAAM,CAAC,CAAC,CAAC,IAAI,EAAE,CAAC;QAC3D,MAAM,MAAM,GACR,EAAE,CAAC,MAAM,CAAC,IAAI,CAAC,KAAK,EAAE,WAAW,EAAE,SAAS,EAAE,SAAS,EAAE,KAAK,CAAC,CAAC;QACpE,MAAM,CAAC,MAAM,CAAC,KAAK,CAAC,CAAC,OAAO,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QACrC,iBAAiB,CACb,MAAM,MAAM,CAAC,IAAI,EAAE,EAAE,CAAC,GAAG,EAAE,GAAG,EAAE,GAAG,EAAE,GAAG,EAAE,GAAG,EAAE,GAAG,EAAE,GAAG,EAAE,GAAG,CAAC,CAAC,CAAC;IACrE,CAAC,CAAC,CAAC;AACL,CAAC,CAAC,CAAC","sourcesContent":["/**\n * @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('stft', ALL_ENVS, () => {\n  it('3 length with hann window', async () => {\n    const input = tf.tensor1d([1, 1, 1, 1, 1]);\n    const frameLength = 3;\n    const frameStep = 1;\n    const output = tf.signal.stft(input, frameLength, frameStep);\n    expect(output.shape).toEqual([3, 3]);\n    expectArraysClose(await output.data(), [\n      1.0,\n      0.0,\n      0.0,\n      -1.0,\n      -1.0,\n      0.0,\n      1.0,\n      0.0,\n      0.0,\n      -1.0,\n      -1.0,\n      0.0,\n      1.0,\n      0.0,\n      0.0,\n      -1.0,\n      -1.0,\n      0.0,\n    ]);\n  });\n\n  it('3 length with hann window (sequencial number)', async () => {\n    const input = tf.tensor1d([1, 2, 3, 4, 5]);\n    const frameLength = 3;\n    const frameStep = 1;\n    const output = tf.signal.stft(input, frameLength, frameStep);\n    expect(output.shape).toEqual([3, 3]);\n    expectArraysClose(await output.data(), [\n      2.0, 0.0, 0.0, -2.0, -2.0, 0.0, 3.0, 0.0, 0.0, -3.0, -3.0, 0.0, 4.0, 0.0,\n      0.0, -4.0, -4.0, 0.0\n    ]);\n  });\n\n  it('3 length, 2 step with hann window', async () => {\n    const input = tf.tensor1d([1, 1, 1, 1, 1]);\n    const frameLength = 3;\n    const frameStep = 2;\n    const output = tf.signal.stft(input, frameLength, frameStep);\n    expect(output.shape).toEqual([2, 3]);\n    expectArraysClose(\n        await output.data(),\n        [1.0, 0.0, 0.0, -1.0, -1.0, 0.0, 1.0, 0.0, 0.0, -1.0, -1.0, 0.0]);\n  });\n\n  it('3 fftLength, 5 frameLength, 2 step', async () => {\n    const input = tf.tensor1d([1, 1, 1, 1, 1, 1]);\n    const frameLength = 5;\n    const frameStep = 1;\n    const fftLength = 3;\n    const output = tf.signal.stft(input, frameLength, frameStep, fftLength);\n    expect(output.shape[0]).toEqual(2);\n    expectArraysClose(\n        await output.data(),\n        [1.5, 0.0, -0.749999, 0.433, 1.5, 0.0, -0.749999, 0.433]);\n  });\n\n  it('5 length with hann window', async () => {\n    const input = tf.tensor1d([1, 1, 1, 1, 1]);\n    const frameLength = 5;\n    const frameStep = 1;\n    const output = tf.signal.stft(input, frameLength, frameStep);\n    expect(output.shape).toEqual([1, 5]);\n    expectArraysClose(\n        await output.data(),\n        [2.0, 0.0, 0.0, -1.7071068, -1.0, 0.0, 0.0, 0.29289323, 0.0, 0.0]);\n  });\n\n  it('5 length with hann window (sequential)', async () => {\n    const input = tf.tensor1d([1, 2, 3, 4, 5]);\n    const frameLength = 5;\n    const frameStep = 1;\n    const output = tf.signal.stft(input, frameLength, frameStep);\n    expect(output.shape).toEqual([1, 5]);\n    expectArraysClose(await output.data(), [\n      6.0, 0.0, -0.70710677, -5.1213202, -3.0, 1.0, 0.70710677, 0.87867975, 0.0,\n      0.0\n    ]);\n  });\n\n  it('3 length with hamming window', async () => {\n    const input = tf.tensor1d([1, 1, 1, 1, 1]);\n    const frameLength = 3;\n    const frameStep = 1;\n    const fftLength = 3;\n    const output = tf.signal.stft(\n        input, frameLength, frameStep, fftLength,\n        (length) => tf.signal.hammingWindow(length));\n    expect(output.shape).toEqual([3, 2]);\n    expectArraysClose(await output.data(), [\n      1.16, 0.0, -0.46, -0.79674333, 1.16, 0.0, -0.46, -0.79674333, 1.16, 0.0,\n      -0.46, -0.79674333\n    ]);\n  });\n\n  it('3 length, 2 step with hamming window', async () => {\n    const input = tf.tensor1d([1, 1, 1, 1, 1]);\n    const frameLength = 3;\n    const frameStep = 2;\n    const fftLength = 3;\n    const output = tf.signal.stft(\n        input, frameLength, frameStep, fftLength,\n        (length) => tf.signal.hammingWindow(length));\n    expect(output.shape).toEqual([2, 2]);\n    expectArraysClose(\n        await output.data(),\n        [1.16, 0.0, -0.46, -0.79674333, 1.16, 0.0, -0.46, -0.79674333]);\n  });\n\n  it('3 fftLength, 5 frameLength, 2 step with hamming window', async () => {\n    const input = tf.tensor1d([1, 1, 1, 1, 1, 1]);\n    const frameLength = 5;\n    const frameStep = 1;\n    const fftLength = 3;\n    const output = tf.signal.stft(\n        input, frameLength, frameStep, fftLength,\n        (length) => tf.signal.hammingWindow(length));\n    expect(output.shape).toEqual([2, 2]);\n    expectArraysClose(\n        await output.data(),\n        [1.619999, 0.0, -0.69, 0.39837, 1.619999, 0.0, -0.69, 0.39837]);\n  });\n\n  it('5 length with hann window (sequential)', async () => {\n    const input = tf.tensor1d([1, 2, 3, 4, 5]);\n    const frameLength = 5;\n    const frameStep = 1;\n    const fftLength = 5;\n    const output = tf.signal.stft(\n        input, frameLength, frameStep, fftLength,\n        (length) => tf.signal.hammingWindow(length));\n    expect(output.shape).toEqual([1, 3]);\n    expectArraysClose(\n        await output.data(),\n        [6.72, 0.0, -3.6371822, -1.1404576, 0.4771822, 0.39919350]);\n  });\n\n  it('3 length without window function', async () => {\n    const input = tf.tensor1d([1, 1, 1, 1, 1]);\n    const frameLength = 3;\n    const frameStep = 1;\n    const fftLength = 3;\n    const ident = (length: number) => tf.ones([length]).as1D();\n    const output =\n        tf.signal.stft(input, frameLength, frameStep, fftLength, ident);\n    expect(output.shape).toEqual([3, 2]);\n    expectArraysClose(\n        await output.data(),\n        [3.0, 0.0, 0.0, 0.0, 3.0, 0.0, 0.0, 0.0, 3.0, 0.0, 0.0, 0.0]);\n  });\n\n  it('3 length, 2 step without window function', async () => {\n    const input = tf.tensor1d([1, 1, 1, 1, 1]);\n    const frameLength = 3;\n    const frameStep = 2;\n    const fftLength = 3;\n    const ident = (length: number) => tf.ones([length]).as1D();\n    const output =\n        tf.signal.stft(input, frameLength, frameStep, fftLength, ident);\n    expect(output.shape).toEqual([2, 2]);\n    expectArraysClose(\n        await output.data(), [3.0, 0.0, 0.0, 0.0, 3.0, 0.0, 0.0, 0.0]);\n  });\n});\n"]}