




'''simple docstring'''



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

import numpy as np







def       _UpperCamelCase			(_lowerCamelCase				:  bytes ,						_lowerCamelCase				:  int						)-> np.array:




     '''simple docstring'''





     __snake_case            =	f'''{sampling_rate}'''
     __snake_case            =	'''1'''
     __snake_case            =	'''f32le'''
     __snake_case            =	[
         '''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:
               __snake_case            =	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
     __snake_case            =	output_stream[0]
     __snake_case            =	np.frombuffer(__a ,						np.floataa						)
     if audio.shape[0] == 0:
          raise ValueError('''Malformed soundfile'''						)
     return audio







def       _UpperCamelCase			(_lowerCamelCase				:  int ,						_lowerCamelCase				:  float ,						_lowerCamelCase				:  str = "f32le" ,						)-> str:




     '''simple docstring'''





     __snake_case            =	f'''{sampling_rate}'''
     __snake_case            =	'''1'''
     if format_for_conversion == "s16le":
          __snake_case            =	2
     elif format_for_conversion == "f32le":
          __snake_case            =	4
     else:
          raise ValueError(f'''Unhandled format `{format_for_conversion}`. Please use `s16le` or `f32le`'''						)

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

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







def       _UpperCamelCase			(_lowerCamelCase				:  int ,						_lowerCamelCase				:  float ,						_lowerCamelCase				:  Optional[int] = None ,						_lowerCamelCase				:  Optional[Union[Tuple[float, float], float]] = None ,						_lowerCamelCase				:  str = "f32le" ,						)-> Optional[int]:




     '''simple docstring'''





     if stream_chunk_s is not None:
          __snake_case            =	stream_chunk_s
     else:
          __snake_case            =	chunk_length_s

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

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

     __snake_case            =	int(round(sampling_rate * stride_length_s[0]						)						) * size_of_sample
     __snake_case            =	int(round(sampling_rate * stride_length_s[1]						)						) * size_of_sample
     __snake_case            =	datetime.datetime.now()
     __snake_case            =	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
          __snake_case            =	np.frombuffer(item['''raw'''] ,						dtype=__a						)
          __snake_case            =	(
              item['''stride'''][0] // size_of_sample,
              item['''stride'''][1] // size_of_sample,
          )
          __snake_case            =	sampling_rate
          audio_time += delta
          if datetime.datetime.now() > audio_time + 10 * delta:
               # We're late !! SKIP
               continue
          yield item







def       _UpperCamelCase			(_lowerCamelCase				:  Optional[int] ,						_lowerCamelCase				:  int ,						_lowerCamelCase				:  Tuple[int, int] ,						_lowerCamelCase				:  bool = False						)-> Optional[int]:




     '''simple docstring'''





     __snake_case            =	b''''''
     __snake_case            =	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}'''						)
     __snake_case            =	0
     for raw in iterator:
          acc += raw
          if stream and len(__a						) < chunk_len:
               __snake_case            =	(_stride_left, 0)
               yield {"raw": acc[:chunk_len], "stride": stride, "partial": True}
          else:
               while len(__a						) >= chunk_len:
                    # We are flushing the accumulator
                    __snake_case            =	(_stride_left, stride_right)
                    __snake_case            =	{'''raw''': acc[:chunk_len], '''stride''': stride}
                    if stream:
                         __snake_case            =	False
                    yield item
                    __snake_case            =	stride_left
                    __snake_case            =	acc[chunk_len - stride_left - stride_right :]
    # Last chunk
     if len(__a						) > stride_left:
          __snake_case            =	{'''raw''': acc, '''stride''': (_stride_left, 0)}
          if stream:
               __snake_case            =	False
          yield item







def       _UpperCamelCase			(_lowerCamelCase				:  int ,						_lowerCamelCase				:  int						)-> Tuple:




     '''simple docstring'''





     __snake_case            =	2**24  # 16Mo
     try:
          with subprocess.Popen(__a ,						stdout=subprocess.PIPE ,						bufsize=__a						) as ffmpeg_process:
               while True:
                    __snake_case            =	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









a__												=						'''Input must be a string of 8 numbers plus letter'''
a__												=						'''TRWAGMYFPDXBNJZSQVHLCKE'''



def   __UpperCAmelCase					(      __a :     str      )     ->	bool:

					"""simple docstring"""

					if not isinstance(__a						,__a      ):
										_a      :       List[str]   =						F"""Expected string as input, found {type(__a      ).__name__}"""
										raise TypeError(__a      )

					_a      :       List[Any]   =						spanish_id.replace('''-'''						,''''''      ).upper()
					if len(__a      ) != 9:
										raise ValueError(__a      )

					try:
										_a      :       Any   =						int(spanish_id_clean[0:8]      )
										_a      :       str   =						spanish_id_clean[8]
					except ValueError as ex:
										raise ValueError(__a      ) from ex

					if letter.isdigit():
										raise ValueError(__a      )

					return letter == LOOKUP_LETTERS[number % 23]


if __name__ == "__main__":
			import doctest

			doctest.testmod()



