import unittest
import itertools

from parameterized import parameterized
import numpy as np
from paddleaudio._internal import module_utils as _mod_utils
from paddleaudio.backends import sox_io_backend

from common_utils import (
    get_wav_data,
    load_wav,
    save_wav,
)

#code is from:https://github.com/pytorch/audio/blob/main/torchaudio/test/torchaudio_unittest/backend/sox_io/load_test.py

class TestLoad(unittest.TestCase):

    def assert_wav(self, dtype, sample_rate, num_channels, normalize, duration):
        """`sox_io_backend.load` can load wav format correctly.

        Wav data loaded with sox_io backend should match those with scipy
        """
        path = 'testdata/reference.wav'
        data = get_wav_data(dtype, num_channels, normalize=normalize, num_frames=duration * sample_rate)
        save_wav(path, data, sample_rate)
        expected = load_wav(path, normalize=normalize)[0]
        data, sr = sox_io_backend.load(path, normalize=normalize)
        assert sr == sample_rate
        np.testing.assert_array_almost_equal(data, expected, decimal=4)

    @parameterized.expand(
        list(
            itertools.product(
                 ["float64", "float32", "int32",],
                [8000, 16000],
                [1, 2],
                [False, True],
            )
        ),
    )
    def test_wav(self, dtype, sample_rate, num_channels, normalize):
        """`sox_io_backend.load` can load wav format correctly."""
        self.assert_wav(dtype, sample_rate, num_channels, normalize, duration=1)
    
if __name__ == '__main__':
    unittest.main()
