cleanup

import subprocess

import tempfile

import wave

import struct

import itertools

from pathlib import Path

from enum import Enum

from typing import Callable, Iterable, Optional, Tuple, Union

import numpy as np

import scipy.io.wavfile as wavfile

import scipy.signal as sig

from . import audiofile

main_logger = logging.getLogger("__main__")

logger = main_logger.getChild(__name__)

        test_tmp = test.astype(np.int32)

        if fs != 48000:

            ref_tmp = np.clip(

                resample(ref.astype(float), fs, 48000), -32768, 32767

            ).astype(np.int32)

            test_tmp = np.clip(

                resample(test.astype(float), fs, 48000), -32768, 32767

            ).astype(np.int32)

            ref_tmp = resample(ref.astype(float), fs, 48000).astype(np.int32)

            test_tmp = resample(test.astype(float), fs, 48000).astype(np.int32)

        bytes_per_sample = 3

        with wave.open(str(tmpfile_ref), mode="wb") as ref_tmp_wav:

            )

            ref_tmp_wav.writeframes(data_bytes)

            # for i in range(0, len(data_bytes), 4):

            #     chunk = data_bytes[i : i + bytes_per_sample]

            #     ref_tmp_wav.writeframes(chunk)

        with wave.open(str(tmpfile_test), mode="wb") as test_tmp_wav:

            data_bytes = test_tmp.astype("<i").tobytes()

            test_tmp_wav.setnchannels(nchannels)