

import datetime
import platform
import subprocess
from typing import Optional, Tuple, Union

import numpy as np

def       a__					(		UpperCAmelCase							:      bytes    ,			UpperCAmelCase							:      int      )  ->						np.array:
  UpperCAmelCase	:							Optional[Any]						=			f'''{sampling_rate}'''
  UpperCAmelCase	:							List[Any]						=			'''1'''
  UpperCAmelCase	:							Optional[Any]						=			'''f32le'''
  UpperCAmelCase	:							List[Any]						=			[
      '''ffmpeg''',
      '''-i''',
      '''pipe:0''',
      '''-ac''',
      ac,
      '''-ar''',
      ar,
      '''-f''',
      format_for_conversion,
      '''-hide_banner''',
      '''-loglevel''',
      '''quiet''',
      '''pipe:1''',
  ]

  try:
    with subprocess.Popen(UpperCAmelCase    ,			stdin=subprocess.PIPE    ,			stdout=subprocess.PIPE      ) as ffmpeg_process:
      UpperCAmelCase	:							Dict						=			ffmpeg_process.communicate(UpperCAmelCase      )
  except FileNotFoundError as error:
    raise ValueError('''ffmpeg was not found but is required to load audio files from filename'''      ) from error
  UpperCAmelCase	:							Optional[int]						=			output_stream[0]
  UpperCAmelCase	:							Tuple						=			np.frombuffer(UpperCAmelCase    ,			np.floataa      )
  if audio.shape[0] == 0:
    raise ValueError('''Malformed soundfile'''      )
  return audio

def       a__					(		UpperCAmelCase							:      int    ,			UpperCAmelCase							:      float    ,			UpperCAmelCase							:      str = "f32le"    ,			)  ->						List[str]:
  UpperCAmelCase	:							Tuple						=			f'''{sampling_rate}'''
  UpperCAmelCase	:							Optional[int]						=			'''1'''
  if format_for_conversion == "s16le":
    UpperCAmelCase	:							Optional[Any]						=			2
  elif format_for_conversion == "f32le":
    UpperCAmelCase	:							List[str]						=			4
  else:
    raise ValueError(f'''Unhandled format `{format_for_conversion}`. Please use `s16le` or `f32le`'''      )

  UpperCAmelCase	:							int						=			platform.system()
  if system == "Linux":
    UpperCAmelCase	:							Any						=			'''alsa'''
    UpperCAmelCase	:							Tuple						=			'''default'''
  elif system == "Darwin":
    UpperCAmelCase	:							Optional[int]						=			'''avfoundation'''
    UpperCAmelCase	:							Tuple						=			''':0'''
  elif system == "Windows":
    UpperCAmelCase	:							List[str]						=			'''dshow'''
    UpperCAmelCase	:							Tuple						=			'''default'''

  UpperCAmelCase	:							Union[str, Any]						=			[
      '''ffmpeg''',
      '''-f''',
      format_,
      '''-i''',
      input_,
      '''-ac''',
      ac,
      '''-ar''',
      ar,
      '''-f''',
      format_for_conversion,
      '''-fflags''',
      '''nobuffer''',
      '''-hide_banner''',
      '''-loglevel''',
      '''quiet''',
      '''pipe:1''',
  ]
  UpperCAmelCase	:							Union[str, Any]						=			int(round(sampling_rate * chunk_length_s      )      ) * size_of_sample
  UpperCAmelCase	:							Dict						=			_ffmpeg_stream(UpperCAmelCase    ,			UpperCAmelCase      )
  for item in iterator:
    yield item

def       a__					(		UpperCAmelCase							:      int    ,			UpperCAmelCase							:      float    ,			UpperCAmelCase							:      Optional[int] = None    ,			UpperCAmelCase							:      Optional[Union[Tuple[float, float], float]] = None    ,			UpperCAmelCase							:      str = "f32le"    ,			)  ->						Union[str, Any]:
  if stream_chunk_s is not None:
    UpperCAmelCase	:							List[str]						=			stream_chunk_s
  else:
    UpperCAmelCase	:							List[Any]						=			chunk_length_s

  UpperCAmelCase	:							Union[str, Any]						=			ffmpeg_microphone(UpperCAmelCase    ,			UpperCAmelCase    ,			format_for_conversion=UpperCAmelCase      )
  if format_for_conversion == "s16le":
    UpperCAmelCase	:							Any						=			np.intaa
    UpperCAmelCase	:							str						=			2
  elif format_for_conversion == "f32le":
    UpperCAmelCase	:							Any						=			np.floataa
    UpperCAmelCase	:							int						=			4
  else:
    raise ValueError(f'''Unhandled format `{format_for_conversion}`. Please use `s16le` or `f32le`'''      )

  if stride_length_s is None:
    UpperCAmelCase	:							Tuple						=			chunk_length_s / 6
  UpperCAmelCase	:							Dict						=			int(round(sampling_rate * chunk_length_s      )      ) * size_of_sample
  if isinstance(UpperCAmelCase    ,			(int, float)      ):
    UpperCAmelCase	:							str						=			[stride_length_s, stride_length_s]

  UpperCAmelCase	:							Dict						=			int(round(sampling_rate * stride_length_s[0]      )      ) * size_of_sample
  UpperCAmelCase	:							Optional[Any]						=			int(round(sampling_rate * stride_length_s[1]      )      ) * size_of_sample
  UpperCAmelCase	:							str						=			datetime.datetime.now()
  UpperCAmelCase	:							List[str]						=			datetime.timedelta(seconds=UpperCAmelCase      )
  for item in chunk_bytes_iter(UpperCAmelCase    ,			UpperCAmelCase    ,			stride=(stride_left, stride_right)    ,			stream=UpperCAmelCase      ):
    # Put everything back in numpy scale
    UpperCAmelCase	:							Optional[int]						=			np.frombuffer(item['''raw''']    ,			dtype=UpperCAmelCase      )
    UpperCAmelCase	:							Optional[int]						=			(
        item['''stride'''][0] // size_of_sample,
        item['''stride'''][1] // size_of_sample,
    )
    UpperCAmelCase	:							Union[str, Any]						=			sampling_rate
    audio_time += delta
    if datetime.datetime.now() > audio_time + 10 * delta:
      # We're late !! SKIP
      continue
    yield item

def       a__					(		UpperCAmelCase							:      List[str]    ,			UpperCAmelCase							:      int    ,			UpperCAmelCase							:      Tuple[int, int]    ,			UpperCAmelCase							:      bool = False      )  ->						Tuple:
  UpperCAmelCase	:							Dict						=			b''''''
  UpperCAmelCase			,						UpperCAmelCase	:							Dict						=			stride
  if stride_left + stride_right >= chunk_len:
    raise ValueError(
        f'''Stride needs to be strictly smaller than chunk_len: ({stride_left}, {stride_right}) vs {chunk_len}'''      )
  UpperCAmelCase	:							Optional[Any]						=			0
  for raw in iterator:
    acc += raw
    if stream and len(UpperCAmelCase      ) < chunk_len:
      UpperCAmelCase	:							Dict						=			(_stride_left, 0)
      yield {"raw": acc[:chunk_len], "stride": stride, "partial": True}
    else:
      while len(UpperCAmelCase      ) >= chunk_len:
        # We are flushing the accumulator
        UpperCAmelCase	:							Dict						=			(_stride_left, stride_right)
        UpperCAmelCase	:							Dict						=			{'''raw''': acc[:chunk_len], '''stride''': stride}
        if stream:
          UpperCAmelCase	:							List[str]						=			False
        yield item
        UpperCAmelCase	:							List[str]						=			stride_left
        UpperCAmelCase	:							Union[str, Any]						=			acc[chunk_len - stride_left - stride_right :]
    # Last chunk
  if len(UpperCAmelCase      ) > stride_left:
    UpperCAmelCase	:							Union[str, Any]						=			{'''raw''': acc, '''stride''': (_stride_left, 0)}
    if stream:
      UpperCAmelCase	:							List[Any]						=			False
    yield item






def       a__					(		UpperCAmelCase							:      Optional[int]    ,			UpperCAmelCase							:      int      )  ->						Dict:
  UpperCAmelCase	:							Tuple						=			2**24  # 16Mo
  try:
    with subprocess.Popen(UpperCAmelCase    ,			stdout=subprocess.PIPE    ,			bufsize=UpperCAmelCase      ) as ffmpeg_process:
      while True:
        UpperCAmelCase	:							int						=			ffmpeg_process.stdout.read(UpperCAmelCase      )
        if raw == b"":
          break
        yield raw
  except FileNotFoundError as error:
    raise ValueError('''ffmpeg was not found but is required to stream audio files from filename'''      ) from error








def       a__					(		UpperCAmelCase							:      int      )  ->						bool:
  if not isinstance(UpperCAmelCase    ,			UpperCAmelCase      ):
    UpperCAmelCase	:							List[str]						=			f'''Input value of [number={number}] must be an integer'''
    raise TypeError(UpperCAmelCase      )
  if number < 0:
    return False
  UpperCAmelCase	:							List[str]						=			number * number
  while number > 0:
    if number % 10 != number_square % 10:
      return False
    number //= 10
    number_square //= 10
  return True


if __name__ == "__main__":
     import doctest

     doctest.testmod()





