# 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 os
import unittest
import urllib.request

import numpy as np
import paddle
from paddleaudio.backends import soundfile_load as load

wav_url = 'https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav'


class FeatTest(unittest.TestCase):
    def setUp(self):
        self.initParmas()
        self.initWavInput()
        self.setUpDevice()

    def setUpDevice(self, device='cpu'):
        paddle.set_device(device)

    def initWavInput(self, url=wav_url):
        if not os.path.isfile(os.path.basename(url)):
            urllib.request.urlretrieve(url, os.path.basename(url))
        self.waveform, self.sr = load(os.path.abspath(os.path.basename(url)))
        self.waveform = self.waveform.astype(
            np.float32
        )  # paddlespeech.s2t.transform.spectrogram only supports float32 
        dim = len(self.waveform.shape)

        assert dim in [1, 2]
        if dim == 1:
            self.waveform = np.expand_dims(self.waveform, 0)

    def initParmas(self):
        raise NotImplementedError