
'''simple docstring'''



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

import numpy as np





def 			_A		(				lowercase__		,		lowercase__						):
						lowercase__							=							f'''{sampling_rate}'''
						lowercase__							=							"""1"""
						lowercase__							=							"""f32le"""
						lowercase__							=							[
						    """ffmpeg""",
						    """-i""",
						    """pipe:0""",
						    """-ac""",
						    ac,
						    """-ar""",
						    ar,
						    """-f""",
						    format_for_conversion,
						    """-hide_banner""",
						    """-loglevel""",
						    """quiet""",
						    """pipe:1""",
						]

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





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

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

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





def 			_A		(				lowercase__		,		lowercase__		,		lowercase__ = None		,		lowercase__ = None		,		lowercase__ = "f32le"		,		):


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

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

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

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





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







def 			_A		(				lowercase__		,		lowercase__						):
						lowercase__							=							2**24  # 16Mo
						try:
												with subprocess.Popen(_lowercase		,		stdout=subprocess.PIPE		,		bufsize=_lowercase						) as ffmpeg_process:
																		while True:
																								lowercase__							=							ffmpeg_process.stdout.read(_lowercase						)
																								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 		_A		(		_lowercase = 1_00 )					-> int:


     """simple docstring"""


     __UpperCamelCase =			0
     __UpperCamelCase =			0
     for i in range(1					,  n + 1 ):
          sum_of_squares += i**2
          sum_of_ints += i
     return sum_of_ints**2 - sum_of_squares


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


