


'''simple docstring'''
import datetime
import platform
import subprocess
from typing import Optional, Tuple, Union

import numpy as np

def 					lowerCamelCase_ ( __UpperCamelCase					:       bytes							,    __UpperCamelCase					:       int		)					->	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(__UpperCamelCase							,    stdin=subprocess.PIPE							,    stdout=subprocess.PIPE		) as ffmpeg_process:
               _A				=							ffmpeg_process.communicate(__UpperCamelCase		)
     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(__UpperCamelCase							,    np.floataa		)
     if audio.shape[0] == 0:
          raise ValueError('Malformed soundfile'		)
     return audio

def 					lowerCamelCase_ ( __UpperCamelCase					:       int							,    __UpperCamelCase					:       float							,    __UpperCamelCase					:       str = "f32le"							,    )					->	List[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(__UpperCamelCase							,    __UpperCamelCase		)
     for item in iterator:
          yield item

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







     """simple docstring"""
     if stream_chunk_s is not None:
          _A				=							stream_chunk_s
     else:
          _A				=							chunk_length_s

     _A				=							ffmpeg_microphone(__UpperCamelCase							,    __UpperCamelCase							,    format_for_conversion=__UpperCamelCase		)
     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(__UpperCamelCase							,    (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=__UpperCamelCase		)
     for item in chunk_bytes_iter(__UpperCamelCase							,    __UpperCamelCase							,    stride=(stride_left, stride_right)							,    stream=__UpperCamelCase		):
          # Put everything back in numpy scale
          _A				=							np.frombuffer(item['raw']							,    dtype=__UpperCamelCase		)
          _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 + 1_0 * delta:
               # We're late !! SKIP
               continue
          yield item

def 					lowerCamelCase_ ( __UpperCamelCase					:       int							,    __UpperCamelCase					:       int							,    __UpperCamelCase					:       Tuple[int, int]							,    __UpperCamelCase					:       bool = False		)					->	str:







     """simple docstring"""
     _A				=							b''
     _A		,				_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(__UpperCamelCase		) < chunk_len:
               _A				=							(_stride_left, 0)
               yield {"raw": acc[:chunk_len], "stride": stride, "partial": True}
          else:
               while len(__UpperCamelCase		) >= 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(__UpperCamelCase		) > stride_left:
          _A				=							{'raw': acc, 'stride': (_stride_left, 0)}
          if stream:
               _A				=							False
          yield item

def 					lowerCamelCase_ ( __UpperCamelCase					:       Tuple							,    __UpperCamelCase					:       int		)					->	Tuple:







     """simple docstring"""
     _A				=							2**2_4  # 16Mo
     try:
          with subprocess.Popen(__UpperCamelCase							,    stdout=subprocess.PIPE							,    bufsize=__UpperCamelCase		) as ffmpeg_process:
               while True:
                    _A				=							ffmpeg_process.stdout.read(__UpperCamelCase		)
                    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_ ( __UpperCamelCase					:       int		)					->	bool:







     """simple docstring"""
     return str(__UpperCamelCase		) == str(__UpperCamelCase		)[::-1]

def 					lowerCamelCase_ ( __UpperCamelCase					:       int		)					->	int:







     """simple docstring"""
     return int(__UpperCamelCase		) + int(str(__UpperCamelCase		)[::-1]		)

def 					lowerCamelCase_ ( __UpperCamelCase					:       int = 1_0_0_0_0		)					->	int:







     """simple docstring"""
     _A				=							[]
     for num in range(1							,    __UpperCamelCase		):
          _A				=							0
          _A				=							num
          while iterations < 5_0:
               _A				=							sum_reverse(__UpperCamelCase		)
               iterations += 1
               if is_palindrome(__UpperCamelCase		):
                    break
          else:
               lychrel_nums.append(__UpperCamelCase		)
     return len(__UpperCamelCase		)


if __name__ == "__main__":
    print(F'{solution() = }')





