


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

import numpy as np






def 						a__			(				A__,      A__				):
			SCREAMING_SNAKE_CASE_		:     Optional[int]					=					F'''{sampling_rate}'''
			SCREAMING_SNAKE_CASE_		:     str					=					'1'
			SCREAMING_SNAKE_CASE_		:     Optional[Any]					=					'f32le'
			SCREAMING_SNAKE_CASE_		:     str					=					[
			    'ffmpeg',
			    '-i',
			    'pipe:0',
			    '-ac',
			    ac,
			    '-ar',
			    ar,
			    '-f',
			    format_for_conversion,
			    '-hide_banner',
			    '-loglevel',
			    'quiet',
			    'pipe:1',
			]

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






def 						a__			(				A__,      A__,      A__ = "f32le",      ):
			SCREAMING_SNAKE_CASE_		:     int					=					F'''{sampling_rate}'''
			SCREAMING_SNAKE_CASE_		:     Any					=					'1'
			if format_for_conversion == "s16le":
						SCREAMING_SNAKE_CASE_		:     Tuple					=					2
			elif format_for_conversion == "f32le":
						SCREAMING_SNAKE_CASE_		:     Optional[int]					=					4
			else:
						raise ValueError(F'''Unhandled format `{format_for_conversion}`. Please use `s16le` or `f32le`'''				)

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

			SCREAMING_SNAKE_CASE_		:     List[Any]					=					[
			    '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[Any]					=					int(round(sampling_rate * chunk_length_s				)				) * size_of_sample
			SCREAMING_SNAKE_CASE_		:     List[str]					=					_ffmpeg_stream(A__,      A__				)
			for item in iterator:
						yield item






def 						a__			(				A__,      A__,      A__ = None,      A__ = None,      A__ = "f32le",      ):
			if stream_chunk_s is not None:
						SCREAMING_SNAKE_CASE_		:     int					=					stream_chunk_s
			else:
						SCREAMING_SNAKE_CASE_		:     Any					=					chunk_length_s

			SCREAMING_SNAKE_CASE_		:     Union[str, Any]					=					ffmpeg_microphone(A__,      A__,      format_for_conversion=A__				)
			if format_for_conversion == "s16le":
						SCREAMING_SNAKE_CASE_		:     List[Any]					=					np.intaa
						SCREAMING_SNAKE_CASE_		:     List[str]					=					2
			elif format_for_conversion == "f32le":
						SCREAMING_SNAKE_CASE_		:     str					=					np.floataa
						SCREAMING_SNAKE_CASE_		:     Optional[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_		:     Any					=					chunk_length_s / 6
			SCREAMING_SNAKE_CASE_		:     Any					=					int(round(sampling_rate * chunk_length_s				)				) * size_of_sample
			if isinstance(A__,      (int, float)				):
						SCREAMING_SNAKE_CASE_		:     Dict					=					[stride_length_s, stride_length_s]

			SCREAMING_SNAKE_CASE_		:     Optional[int]					=					int(round(sampling_rate * stride_length_s[0]				)				) * size_of_sample
			SCREAMING_SNAKE_CASE_		:     Any					=					int(round(sampling_rate * stride_length_s[1]				)				) * size_of_sample
			SCREAMING_SNAKE_CASE_		:     Any					=					datetime.datetime.now()
			SCREAMING_SNAKE_CASE_		:     Optional[Any]					=					datetime.timedelta(seconds=A__				)
			for item in chunk_bytes_iter(A__,      A__,      stride=(stride_left, stride_right),      stream=A__				):
						# Put everything back in numpy scale
						SCREAMING_SNAKE_CASE_		:     Union[str, Any]					=					np.frombuffer(item['raw'],      dtype=A__				)
						SCREAMING_SNAKE_CASE_		:     Tuple					=					(
						    item['stride'][0] // size_of_sample,
						    item['stride'][1] // size_of_sample,
						)
						SCREAMING_SNAKE_CASE_		:     str					=					sampling_rate
						audio_time += delta
						if datetime.datetime.now() > audio_time + 1_0 * delta:
									# We're late !! SKIP
									continue
						yield item






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






def 						a__			(				A__,      A__				):
			SCREAMING_SNAKE_CASE_		:     Tuple					=					2**2_4  # 16Mo
			try:
						with subprocess.Popen(A__,      stdout=subprocess.PIPE,      bufsize=A__				) as ffmpeg_process:
									while True:
												SCREAMING_SNAKE_CASE_		:     str					=					ffmpeg_process.stdout.read(A__				)
												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 snake_case_     (					lowercase__ = "The quick brown fox jumps over the lazy dog"   ,       ):
  UpperCAmelCase__      :					Dict				       =							set()

  # Replace all the whitespace in our sentence
  UpperCAmelCase__      :					str				       =							input_str.replace(" "   ,       ""		)
  for alpha in input_str:
    if "a" <= alpha.lower() <= "z":
      frequency.add(alpha.lower()		)
  return len(lowercase__		) == 2_6







def snake_case_     (					lowercase__ = "The quick brown fox jumps over the lazy dog"   ,       ):
  UpperCAmelCase__      :					str				       =							[False] * 2_6
  for char in input_str:
    if char.islower():
      UpperCAmelCase__      :					List[Any]				       =							True
    elif char.isupper():
      UpperCAmelCase__      :					List[Any]				       =							True
  return all(lowercase__		)







def snake_case_     (					lowercase__ = "The quick brown fox jumps over the lazy dog"   ,       ):
  return len({char for char in input_str.lower() if char.isalpha()}		) == 2_6







def snake_case_     (					):
  from timeit import timeit

  UpperCAmelCase__      :					Union[str, Any]				       =							"from __main__ import is_pangram, is_pangram_faster, is_pangram_fastest"
  print(timeit("is_pangram()"   ,       setup=lowercase__		)		)
  print(timeit("is_pangram_faster()"   ,       setup=lowercase__		)		)
  print(timeit("is_pangram_fastest()"   ,       setup=lowercase__		)		)
  # 5.348480500048026, 2.6477354579837993, 1.8470395830227062
  # 5.036091582966037, 2.644472333951853,  1.8869528750656173


if __name__ == "__main__":
      import doctest

      doctest.testmod()
      benchmark()



