


'''simple docstring'''






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

import numpy as np






def 	_A				(lowerCAmelCase__  :Dict				,						lowerCAmelCase__  :List[str]		)   ->  np.array:




     '''simple docstring'''



     _a			      =							f'{sampling_rate}'
     _a			      =							'''1'''
     _a			      =							'''f32le'''
     _a			      =							[
         '''ffmpeg''',
         '''-i''',
         '''pipe:0''',
         '''-ac''',
         ac,
         '''-ar''',
         ar,
         '''-f''',
         format_for_conversion,
         '''-hide_banner''',
         '''-loglevel''',
         '''quiet''',
         '''pipe:1''',
     ]

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






def 	_A				(lowerCAmelCase__  :int				,						lowerCAmelCase__  :int				,						lowerCAmelCase__  :List[str] = "f32le"				,						)   ->  Union[str, Any]:




     '''simple docstring'''



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

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

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






def 	_A				(lowerCAmelCase__  :str				,						lowerCAmelCase__  :int				,						lowerCAmelCase__  :int = None				,						lowerCAmelCase__  :str = None				,						lowerCAmelCase__  :Union[str, Any] = "f32le"				,						)   ->  Union[str, Any]:




     '''simple docstring'''



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

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

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

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






def 	_A				(lowerCAmelCase__  :Tuple				,						lowerCAmelCase__  :Dict				,						lowerCAmelCase__  :Optional[Any]				,						lowerCAmelCase__  :Optional[Any] = False		)   ->  Optional[Any]:




     '''simple docstring'''



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






def 	_A				(lowerCAmelCase__  :int				,						lowerCAmelCase__  :Optional[int]		)   ->  List[str]:




     '''simple docstring'''



     _a			      =							2**24  # 16Mo
     try:
          with subprocess.Popen(lowerCAmelCase__				,						stdout=subprocess.PIPE				,						bufsize=lowerCAmelCase__		) as ffmpeg_process:
               while True:
                    _a			      =							ffmpeg_process.stdout.read(lowerCAmelCase__		)
                    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'''






from typing import Any






def 	_A				(lowerCAmelCase__  :list		)   ->  list[Any]:




     '''simple docstring'''



     if not input_list:
          return []
     _a			      =							[input_list.count(lowerCAmelCase__		) for value in input_list]
     _a			      =							max(lowerCAmelCase__		)  # Gets the maximum count in the input list.
     # Gets values of modes
     return sorted({input_list[i] for i, value in enumerate(lowerCAmelCase__		) if value == y}		)


if __name__ == "__main__":
 import doctest

 doctest.testmod()

