'''simple docstring'''





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

import numpy as np


def     __lowerCAmelCase						(       a_       ,      a_		)      ->	np.array:





     '''simple docstring'''





     SCREAMING_SNAKE_CASE					:			Dict    	=       f"""{sampling_rate}"""
     SCREAMING_SNAKE_CASE					:			List[Any]    	=       '1'
     SCREAMING_SNAKE_CASE					:			Optional[Any]    	=       'f32le'
     SCREAMING_SNAKE_CASE					:			Optional[Any]    	=       [
         '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					:			List[str]    	=       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					:			Optional[Any]    	=       output_stream[0]
     SCREAMING_SNAKE_CASE					:			str    	=       np.frombuffer(a_       ,      np.floataa		)
     if audio.shape[0] == 0:
          raise ValueError('Malformed soundfile'		)
     return audio


def     __lowerCAmelCase						(       a_       ,      a_       ,      a_ = "f32le"       ,      )      ->	List[Any]:





     '''simple docstring'''





     SCREAMING_SNAKE_CASE					:			Dict    	=       f"""{sampling_rate}"""
     SCREAMING_SNAKE_CASE					:			Any    	=       '1'
     if format_for_conversion == "s16le":
          SCREAMING_SNAKE_CASE					:			str    	=       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					:			Optional[int]    	=       platform.system()
     if system == "Linux":
          SCREAMING_SNAKE_CASE					:			Dict    	=       'alsa'
          SCREAMING_SNAKE_CASE					:			List[str]    	=       'default'
     elif system == "Darwin":
          SCREAMING_SNAKE_CASE					:			int    	=       'avfoundation'
          SCREAMING_SNAKE_CASE					:			Optional[int]    	=       ':0'
     elif system == "Windows":
          SCREAMING_SNAKE_CASE					:			List[str]    	=       'dshow'
          SCREAMING_SNAKE_CASE					:			Dict    	=       'default'

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


def     __lowerCAmelCase						(       a_       ,      a_       ,      a_ = None       ,      a_ = None       ,      a_ = "f32le"       ,      )      ->	Tuple:





     '''simple docstring'''





     if stream_chunk_s is not None:
          SCREAMING_SNAKE_CASE					:			Optional[int]    	=       stream_chunk_s
     else:
          SCREAMING_SNAKE_CASE					:			Tuple    	=       chunk_length_s

     SCREAMING_SNAKE_CASE					:			str    	=       ffmpeg_microphone(a_       ,      a_       ,      format_for_conversion=a_		)
     if format_for_conversion == "s16le":
          SCREAMING_SNAKE_CASE					:			Any    	=       np.intaa
          SCREAMING_SNAKE_CASE					:			Tuple    	=       2
     elif format_for_conversion == "f32le":
          SCREAMING_SNAKE_CASE					:			str    	=       np.floataa
          SCREAMING_SNAKE_CASE					:			List[str]    	=       4
     else:
          raise ValueError(f"""Unhandled format `{format_for_conversion}`. Please use `s16le` or `f32le`"""		)

     if stride_length_s is None:
          SCREAMING_SNAKE_CASE					:			int    	=       chunk_length_s / 6
     SCREAMING_SNAKE_CASE					:			Union[str, Any]    	=       int(round(sampling_rate * chunk_length_s		)		) * size_of_sample
     if isinstance(a_       ,      (int, float)		):
          SCREAMING_SNAKE_CASE					:			List[str]    	=       [stride_length_s, stride_length_s]

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


def     __lowerCAmelCase						(       a_       ,      a_       ,      a_       ,      a_ = False		)      ->	Tuple:





     '''simple docstring'''





     SCREAMING_SNAKE_CASE					:			Any    	=       B''
     SCREAMING_SNAKE_CASE	,   SCREAMING_SNAKE_CASE					:			List[Any]    	=       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					:			Optional[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					:			List[str]    	=       {'raw': acc[:chunk_len], 'stride': stride}
                    if stream:
                         SCREAMING_SNAKE_CASE					:			List[str]    	=       False
                    yield item
                    SCREAMING_SNAKE_CASE					:			Dict    	=       stride_left
                    SCREAMING_SNAKE_CASE					:			List[str]    	=       acc[chunk_len - stride_left - stride_right :]
    # Last chunk
     if len(a_		) > stride_left:
          SCREAMING_SNAKE_CASE					:			List[Any]    	=       {'raw': acc, 'stride': (_stride_left, 0)}
          if stream:
               SCREAMING_SNAKE_CASE					:			List[Any]    	=       False
          yield item


def     __lowerCAmelCase						(       a_       ,      a_		)      ->	Union[str, Any]:





     '''simple docstring'''





     SCREAMING_SNAKE_CASE					:			Dict    	=       2**24  # 16Mo
     try:
          with subprocess.Popen(a_       ,      stdout=subprocess.PIPE       ,      bufsize=a_		) as ffmpeg_process:
               while True:
                    SCREAMING_SNAKE_CASE					:			Dict    	=       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     __lowerCAmelCase						(       a_       ,      a_		)      ->	str:





     '''simple docstring'''





     if number < 0 or shift_amount < 0:
          raise ValueError('both inputs must be positive integers'		)

     SCREAMING_SNAKE_CASE					:			str    	=       str(bin(a_		)		)
     binary_number += "0" * shift_amount
     return binary_number


def     __lowerCAmelCase						(       a_       ,      a_		)      ->	str:





     '''simple docstring'''





     if number < 0 or shift_amount < 0:
          raise ValueError('both inputs must be positive integers'		)

     SCREAMING_SNAKE_CASE					:			Optional[Any]    	=       str(bin(a_		)		)[2:]
     if shift_amount >= len(a_		):
          return "0b0"
     SCREAMING_SNAKE_CASE					:			Dict    	=       binary_number[: len(a_		) - shift_amount]
     return "0b" + shifted_binary_number


def     __lowerCAmelCase						(       a_       ,      a_		)      ->	str:





     '''simple docstring'''





     if number >= 0:  # Get binary representation of positive number
          SCREAMING_SNAKE_CASE					:			Tuple    	=       '0' + str(bin(a_		)		).strip('-'		)[2:]
     else:  # Get binary (2's complement) representation of negative number
          SCREAMING_SNAKE_CASE					:			Union[str, Any]    	=       len(bin(a_		)[3:]		)  # Find 2's complement of number
          SCREAMING_SNAKE_CASE					:			Any    	=       bin(abs(a_		) - (1 << binary_number_length)		)[3:]
          SCREAMING_SNAKE_CASE					:			Optional[Any]    	=       (
              '1' + '0' * (binary_number_length - len(a_		)) + binary_number
          )

     if shift_amount >= len(a_		):
          return "0b" + binary_number[0] * len(a_		)
     return (
         "0b"
         + binary_number[0] * shift_amount
         + binary_number[: len(a_		) - shift_amount]
     )


if __name__ == "__main__":
 import doctest

 doctest.testmod()



