# Copyright (c) 2022 PaddlePaddle Authors. 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 unittest

import numpy as np
import paddle

import paddlespeech.audio
from .base import FeatTest
from paddlespeech.s2t.transform.spectrogram import LogMelSpectrogram


class TestLogMelSpectrogram(FeatTest):
    def initParmas(self):
        self.n_fft = 512
        self.hop_length = 128
        self.n_mels = 40

    def test_log_melspect(self):
        ps_melspect = LogMelSpectrogram(self.sr, self.n_mels, self.n_fft,
                                        self.hop_length)
        ps_res = ps_melspect(self.waveform.T).squeeze(1).T

        x = paddle.to_tensor(self.waveform)
        ps_melspect = paddlespeech.audio.features.LogMelSpectrogram(
            self.sr,
            self.n_fft,
            self.hop_length,
            power=1.0,
            n_mels=self.n_mels,
            f_min=0.0)
        pa_res = (ps_melspect(x) / 10.0).squeeze(0).numpy()

        np.testing.assert_array_almost_equal(ps_res, pa_res, decimal=5)


if __name__ == '__main__':
    unittest.main()
