




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

import numpy as np







def 		lowercase__   (		__A:	bytes							,__A:	int				):





					'''simple docstring'''






					__magic_name__							:	Optional[Any]    							=							F'''{sampling_rate}'''
					__magic_name__							:	Union[str, Any]    							=							'''1'''
					__magic_name__							:	List[Any]    							=							'''f32le'''
					__magic_name__							:	Dict    							=							[
					    '''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:
															__magic_name__							:	Optional[Any]    							=							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
					__magic_name__							:	Optional[Any]    							=							output_stream[0]
					__magic_name__							:	Tuple    							=							np.frombuffer(__A							,np.floataa				)
					if audio.shape[0] == 0:
										raise ValueError('''Malformed soundfile'''				)
					return audio







def 		lowercase__   (		__A:	int							,__A:	float							,__A:	str = "f32le"							,):





					'''simple docstring'''






					__magic_name__							:	Tuple    							=							F'''{sampling_rate}'''
					__magic_name__							:	Optional[int]    							=							'''1'''
					if format_for_conversion == "s16le":
										__magic_name__							:	int    							=							2
					elif format_for_conversion == "f32le":
										__magic_name__							:	str    							=							4
					else:
										raise ValueError(F'''Unhandled format `{format_for_conversion}`. Please use `s16le` or `f32le`'''				)

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

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







def 		lowercase__   (		__A:	int							,__A:	float							,__A:	Optional[int] = None							,__A:	Optional[Union[Tuple[float, float], float]] = None							,__A:	str = "f32le"							,):





					'''simple docstring'''






					if stream_chunk_s is not None:
										__magic_name__							:	Optional[Any]    							=							stream_chunk_s
					else:
										__magic_name__							:	Dict    							=							chunk_length_s

					__magic_name__							:	str    							=							ffmpeg_microphone(__A							,__A							,format_for_conversion=__A				)
					if format_for_conversion == "s16le":
										__magic_name__							:	str    							=							np.intaa
										__magic_name__							:	Any    							=							2
					elif format_for_conversion == "f32le":
										__magic_name__							:	List[Any]    							=							np.floataa
										__magic_name__							:	Union[str, Any]    							=							4
					else:
										raise ValueError(F'''Unhandled format `{format_for_conversion}`. Please use `s16le` or `f32le`'''				)

					if stride_length_s is None:
										__magic_name__							:	int    							=							chunk_length_s / 6
					__magic_name__							:	str    							=							int(round(sampling_rate * chunk_length_s				)				) * size_of_sample
					if isinstance(__A							,(int, float)				):
										__magic_name__							:	List[str]    							=							[stride_length_s, stride_length_s]

					__magic_name__							:	str    							=							int(round(sampling_rate * stride_length_s[0]				)				) * size_of_sample
					__magic_name__							:	Optional[int]    							=							int(round(sampling_rate * stride_length_s[1]				)				) * size_of_sample
					__magic_name__							:	str    							=							datetime.datetime.now()
					__magic_name__							:	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
										__magic_name__							:	Optional[int]    							=							np.frombuffer(item['''raw''']							,dtype=__A				)
										__magic_name__							:	Tuple    							=							(
										    item['''stride'''][0] // size_of_sample,
										    item['''stride'''][1] // size_of_sample,
										)
										__magic_name__							:	int    							=							sampling_rate
										audio_time += delta
										if datetime.datetime.now() > audio_time + 1_0 * delta:
															# We're late !! SKIP
															continue
										yield item







def 		lowercase__   (		__A:	Union[str, Any]							,__A:	int							,__A:	Tuple[int, int]							,__A:	bool = False				):





					'''simple docstring'''






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







def 		lowercase__   (		__A:	Dict							,__A:	int				):





					'''simple docstring'''






					__magic_name__							:	List[str]    							=							2**2_4  # 16Mo
					try:
										with subprocess.Popen(__A							,stdout=subprocess.PIPE							,bufsize=__A				) as ffmpeg_process:
															while True:
																				__magic_name__							:	int    							=							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









import functools







def 		lowercase__   (		__A:	list[int]							,__A:	list[int]				):





					'''simple docstring'''






					if not isinstance(__A							,__A				) or not all(isinstance(__A							,__A				) for day in days				):
										raise ValueError('''The parameter days should be a list of integers'''				)

					if len(__A				) != 3 or not all(isinstance(__A							,__A				) for cost in costs				):
										raise ValueError('''The parameter costs should be a list of three integers'''				)

					if len(__A				) == 0:
										return 0

					if min(__A				) <= 0:
										raise ValueError('''All days elements should be greater than 0'''				)

					if max(__A				) >= 3_6_6:
										raise ValueError('''All days elements should be less than 366'''				)

					__magic_name__							:	Tuple    							=							set(__A				)

					@functools.cache
					def dynamic_programming(__A:	int				) -> int:
										if index > 3_6_5:
															return 0

										if index not in days_set:
															return dynamic_programming(index + 1				)

										return min(
										    costs[0] + dynamic_programming(index + 1				)							,costs[1] + dynamic_programming(index + 7				)							,costs[2] + dynamic_programming(index + 3_0				)							,)

					return dynamic_programming(1				)


if __name__ == "__main__":
	import doctest

	doctest.testmod()



