
"""simple docstring"""


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

import numpy as np






def    lowerCAmelCase_   (		snake_case_		:			bytes							,    snake_case_		:			int			)   ->int:
			lowerCamelCase__	:     Tuple              =f"""{sampling_rate}"""
			lowerCamelCase__	:     List[Any]              ='1'
			lowerCamelCase__	:     str              ='f32le'
			lowerCamelCase__	:     List[str]              =[
			    'ffmpeg',
			    '-i',
			    'pipe:0',
			    '-ac',
			    ac,
			    '-ar',
			    ar,
			    '-f',
			    format_for_conversion,
			    '-hide_banner',
			    '-loglevel',
			    'quiet',
			    'pipe:1',
			]

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






def    lowerCAmelCase_   (		snake_case_		:			int							,    snake_case_		:			float							,    snake_case_		:			str = "f32le"							,    )   ->int:
			lowerCamelCase__	:     str              =f"""{sampling_rate}"""
			lowerCamelCase__	:     Tuple              ='1'
			if format_for_conversion == "s16le":
						lowerCamelCase__	:     Union[str, Any]              =2
			elif format_for_conversion == "f32le":
						lowerCamelCase__	:     Union[str, Any]              =4
			else:
						raise ValueError(f"""Unhandled format `{format_for_conversion}`. Please use `s16le` or `f32le`"""			)

			lowerCamelCase__	:     Optional[int]              =platform.system()
			if system == "Linux":
						lowerCamelCase__	:     List[str]              ='alsa'
						lowerCamelCase__	:     Union[str, Any]              ='default'
			elif system == "Darwin":
						lowerCamelCase__	:     Any              ='avfoundation'
						lowerCamelCase__	:     str              =':0'
			elif system == "Windows":
						lowerCamelCase__	:     List[str]              ='dshow'
						lowerCamelCase__	:     str              ='default'

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






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



			if stream_chunk_s is not None:
						lowerCamelCase__	:     Optional[Any]              =stream_chunk_s
			else:
						lowerCamelCase__	:     str              =chunk_length_s

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

			if stride_length_s is None:
						lowerCamelCase__	:     Dict              =chunk_length_s / 6
			lowerCamelCase__	:     Tuple              =int(round(sampling_rate * chunk_length_s			)			) * size_of_sample
			if isinstance(snake_case_							,    (int, float)			):
						lowerCamelCase__	:     Any              =[stride_length_s, stride_length_s]

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






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






def    lowerCAmelCase_   (		snake_case_		:			Optional[int]							,    snake_case_		:			int			)   ->Optional[Any]:
			lowerCamelCase__	:     int              =2**2_4  # 16Mo
			try:
						with subprocess.Popen(snake_case_							,    stdout=subprocess.PIPE							,    bufsize=snake_case_			) as ffmpeg_process:
									while True:
												lowerCamelCase__	:     Any              =ffmpeg_process.stdout.read(snake_case_			)
												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





def 			_SCREAMING_SNAKE_CASE			(							lowercase	:       float	,							lowercase	:       list[float]     ):


      '''simple docstring'''



      if discount_rate < 0:
            raise ValueError('Discount rate cannot be negative'     )
      if not cash_flows:
            raise ValueError('Cash flows list cannot be empty'     )
      lowerCamelCase_		     =    sum(
          cash_flow / ((1 + discount_rate) ** i) for i, cash_flow in enumerate(lowercase     )     )
      return round(lowercase	,							ndigits=2     )


if __name__ == "__main__":
 import doctest

 doctest.testmod()



