

'''simple docstring'''




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

import numpy as np


def    lowerCamelCase__		(    SCREAMING_SNAKE_CASE   : bytes							, SCREAMING_SNAKE_CASE   : int    ):
  UpperCAmelCase    				=						f'''{sampling_rate}'''
  UpperCAmelCase    				=						'1'
  UpperCAmelCase    				=						'f32le'
  UpperCAmelCase    				=						[
      'ffmpeg',
      '-i',
      'pipe:0',
      '-ac',
      ac,
      '-ar',
      ar,
      '-f',
      format_for_conversion,
      '-hide_banner',
      '-loglevel',
      'quiet',
      'pipe:1',
  ]

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


def    lowerCamelCase__		(    SCREAMING_SNAKE_CASE   : int							, SCREAMING_SNAKE_CASE   : float							, SCREAMING_SNAKE_CASE   : str = "f32le"							, ):
  UpperCAmelCase    				=						f'''{sampling_rate}'''
  UpperCAmelCase    				=						'1'
  if format_for_conversion == "s16le":
    UpperCAmelCase    				=						2
  elif format_for_conversion == "f32le":
    UpperCAmelCase    				=						4
  else:
    raise ValueError(f'''Unhandled format `{format_for_conversion}`. Please use `s16le` or `f32le`'''    )

  UpperCAmelCase    				=						platform.system()
  if system == "Linux":
    UpperCAmelCase    				=						'alsa'
    UpperCAmelCase    				=						'default'
  elif system == "Darwin":
    UpperCAmelCase    				=						'avfoundation'
    UpperCAmelCase    				=						':0'
  elif system == "Windows":
    UpperCAmelCase    				=						'dshow'
    UpperCAmelCase    				=						'default'

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


def    lowerCamelCase__		(    SCREAMING_SNAKE_CASE   : int							, SCREAMING_SNAKE_CASE   : float							, SCREAMING_SNAKE_CASE   : Optional[int] = None							, SCREAMING_SNAKE_CASE   : Optional[Union[Tuple[float, float], float]] = None							, SCREAMING_SNAKE_CASE   : str = "f32le"							, ):
  if stream_chunk_s is not None:
    UpperCAmelCase    				=						stream_chunk_s
  else:
    UpperCAmelCase    				=						chunk_length_s

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

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

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


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



def    lowerCamelCase__		(    SCREAMING_SNAKE_CASE   : List[Any]							, SCREAMING_SNAKE_CASE   : int    ):
  UpperCAmelCase    				=						2**24  # 16Mo
  try:
    with subprocess.Popen(SCREAMING_SNAKE_CASE							, stdout=subprocess.PIPE							, bufsize=SCREAMING_SNAKE_CASE    ) as ffmpeg_process:
      while True:
        UpperCAmelCase    				=						ffmpeg_process.stdout.read(SCREAMING_SNAKE_CASE    )
        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





'''simple docstring'''




def    lowerCamelCase__		(    SCREAMING_SNAKE_CASE   : list[int]							, SCREAMING_SNAKE_CASE   : list[int]							, SCREAMING_SNAKE_CASE   : int    ):
  return not any(
      neighbour == 1 and colored_vertices[i] == color
      for i, neighbour in enumerate(SCREAMING_SNAKE_CASE    )    )


def    lowerCamelCase__		(    SCREAMING_SNAKE_CASE   : list[list[int]]							, SCREAMING_SNAKE_CASE   : int							, SCREAMING_SNAKE_CASE   : list[int]							, SCREAMING_SNAKE_CASE   : int    ):

  # Base Case
  if index == len(SCREAMING_SNAKE_CASE    ):
    return True

  # Recursive Step
  for i in range(SCREAMING_SNAKE_CASE    ):
    if valid_coloring(graph[index]							, SCREAMING_SNAKE_CASE							, SCREAMING_SNAKE_CASE    ):
      # Color current vertex
      UpperCAmelCase    				=						i
      # Validate coloring
      if util_color(SCREAMING_SNAKE_CASE							, SCREAMING_SNAKE_CASE							, SCREAMING_SNAKE_CASE							, index + 1    ):
        return True
      # Backtrack
      UpperCAmelCase    				=						-1
  return False



def    lowerCamelCase__		(    SCREAMING_SNAKE_CASE   : list[list[int]]							, SCREAMING_SNAKE_CASE   : int    ):
  UpperCAmelCase    				=						[-1] * len(SCREAMING_SNAKE_CASE    )

  if util_color(SCREAMING_SNAKE_CASE							, SCREAMING_SNAKE_CASE							, SCREAMING_SNAKE_CASE							, 0    ):
    return colored_vertices

  return []


