import os
import torch
import unittest

import numpy as np
import soundfile as sf
from librosa.core import load

from TTS.tests import get_tests_path, get_tests_input_path, get_tests_output_path
from TTS.utils.audio import AudioProcessor
from TTS.utils.io import load_config
from TTS.vocoder.layers.pqmf import PQMF
from TTS.vocoder.layers.pqmf2 import PQMF as PQMF2


TESTS_PATH = get_tests_path()
WAV_FILE = os.path.join(get_tests_input_path(), "example_1.wav")


def test_pqmf():
    w, sr = load(WAV_FILE)

    layer = PQMF(N=4, taps=62, cutoff=0.15, beta=9.0)
    w, sr = load(WAV_FILE)
    w2 = torch.from_numpy(w[None, None, :])
    b2 = layer.analysis(w2)
    w2_ = layer.synthesis(b2)

    print(w2_.max())
    print(w2_.min())
    print(w2_.mean())
    sf.write('pqmf_output.wav', w2_.flatten().detach(), sr)