






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

import numpy as np


def 	lowerCamelCase__      (  lowercase    ,  lowercase					):

  """simple docstring"""






  SCREAMING_SNAKE_CASE							:   List[Any]						    =     F'''{sampling_rate}'''
  SCREAMING_SNAKE_CASE							:   Any						    =     "1"
  SCREAMING_SNAKE_CASE							:   str						    =     "f32le"
  SCREAMING_SNAKE_CASE							:   Any						    =     [
      "ffmpeg",
      "-i",
      "pipe:0",
      "-ac",
      ac,
      "-ar",
      ar,
      "-f",
      format_for_conversion,
      "-hide_banner",
      "-loglevel",
      "quiet",
      "pipe:1",
  ]

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


def 	lowerCamelCase__      (  lowercase    ,  lowercase    ,  lowercase = "f32le"    ,  ):

  """simple docstring"""






  SCREAMING_SNAKE_CASE							:   Union[str, Any]						    =     F'''{sampling_rate}'''
  SCREAMING_SNAKE_CASE							:   List[str]						    =     "1"
  if format_for_conversion == "s16le":
    SCREAMING_SNAKE_CASE							:   int						    =     2
  elif format_for_conversion == "f32le":
    SCREAMING_SNAKE_CASE							:   int						    =     4
  else:
    raise ValueError(F'''Unhandled format `{format_for_conversion}`. Please use `s16le` or `f32le`'''					)

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

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


def 	lowerCamelCase__      (  lowercase    ,  lowercase    ,  lowercase = None    ,  lowercase = None    ,  lowercase = "f32le"    ,  ):

  """simple docstring"""






  if stream_chunk_s is not None:
    SCREAMING_SNAKE_CASE							:   List[Any]						    =     stream_chunk_s
  else:
    SCREAMING_SNAKE_CASE							:   Dict						    =     chunk_length_s

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

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

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


def 	lowerCamelCase__      (  lowercase    ,  lowercase    ,  lowercase    ,  lowercase = False					):

  """simple docstring"""






  SCREAMING_SNAKE_CASE							:   int						    =     B""
  SCREAMING_SNAKE_CASE    ,	SCREAMING_SNAKE_CASE							:   List[str]						    =     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}'''					)
  SCREAMING_SNAKE_CASE							:   Optional[Any]						    =     0
  for raw in iterator:
    acc += raw
    if stream and len(lowercase					) < chunk_len:
      SCREAMING_SNAKE_CASE							:   Any						    =     (_stride_left, 0)
      yield {"raw": acc[:chunk_len], "stride": stride, "partial": True}
    else:
      while len(lowercase					) >= chunk_len:
        # We are flushing the accumulator
        SCREAMING_SNAKE_CASE							:   int						    =     (_stride_left, stride_right)
        SCREAMING_SNAKE_CASE							:   Any						    =     {"raw": acc[:chunk_len], "stride": stride}
        if stream:
          SCREAMING_SNAKE_CASE							:   List[Any]						    =     False
        yield item
        SCREAMING_SNAKE_CASE							:   int						    =     stride_left
        SCREAMING_SNAKE_CASE							:   str						    =     acc[chunk_len - stride_left - stride_right :]
    # Last chunk
  if len(lowercase					) > stride_left:
    SCREAMING_SNAKE_CASE							:   Union[str, Any]						    =     {"raw": acc, "stride": (_stride_left, 0)}
    if stream:
      SCREAMING_SNAKE_CASE							:   Union[str, Any]						    =     False
    yield item


def 	lowerCamelCase__      (  lowercase    ,  lowercase					):

  """simple docstring"""






  SCREAMING_SNAKE_CASE							:   Optional[int]						    =     2**24  # 16Mo
  try:
    with subprocess.Popen(lowercase    ,  stdout=subprocess.PIPE    ,  bufsize=lowercase					) as ffmpeg_process:
      while True:
        SCREAMING_SNAKE_CASE							:   Optional[int]						    =     ffmpeg_process.stdout.read(lowercase					)
        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      lowerCamelCase_						(			UpperCamelCase__							: str )	->			bool:





				"""simple docstring"""


				__lowerCamelCase									=       0
				for ch in input_str:
								__lowerCamelCase									=       ord(UpperCamelCase__ )
								__lowerCamelCase									=       pow(2					,	UpperCamelCase__ )

								# If we already turned on bit for current character's unicode
								if bitmap >> ch_unicode & 1 == 1:
												return False
								bitmap |= ch_bit_index_on
				return True


if __name__ == "__main__":
					import doctest

					doctest.testmod()


