





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

import numpy as np



def 						A_							(	_lowerCAmelCase				,  _lowerCAmelCase	)		->					np.array:
 UpperCamelCase      :   Union[str, Any]			      =  F"""{sampling_rate}"""
 UpperCamelCase      :   List[Any]			      =  "1"
 UpperCamelCase      :   Tuple			      =  "f32le"
 UpperCamelCase      :   Optional[int]			      =  [
     "ffmpeg",
     "-i",
     "pipe:0",
     "-ac",
     ac,
     "-ar",
     ar,
     "-f",
     format_for_conversion,
     "-hide_banner",
     "-loglevel",
     "quiet",
     "pipe:1",
 ]

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



def 						A_							(	_lowerCAmelCase				,  _lowerCAmelCase				,  _lowerCAmelCase = "f32le"				,  )		->					List[Any]:
 UpperCamelCase      :   List[Any]			      =  F"""{sampling_rate}"""
 UpperCamelCase      :   Union[str, Any]			      =  "1"
 if format_for_conversion == "s16le":
  UpperCamelCase      :   str			      =  2
 elif format_for_conversion == "f32le":
  UpperCamelCase      :   List[str]			      =  4
 else:
  raise ValueError(F"""Unhandled format `{format_for_conversion}`. Please use `s16le` or `f32le`"""	)

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

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



def 						A_							(	_lowerCAmelCase				,  _lowerCAmelCase				,  _lowerCAmelCase = None				,  _lowerCAmelCase = None				,  _lowerCAmelCase = "f32le"				,  )		->					Any:
 if stream_chunk_s is not None:
  UpperCamelCase      :   Optional[int]			      =  stream_chunk_s
 else:
  UpperCamelCase      :   List[str]			      =  chunk_length_s

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

 if stride_length_s is None:
  UpperCamelCase      :   Dict			      =  chunk_length_s / 6
 UpperCamelCase      :   str			      =  int(round(sampling_rate * chunk_length_s	)	) * size_of_sample
 if isinstance(_lowerCAmelCase				,  (int, float)	):
  UpperCamelCase      :   Optional[int]			      =  [stride_length_s, stride_length_s]

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



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



def 						A_							(	_lowerCAmelCase				,  _lowerCAmelCase	)		->					Optional[int]:
 UpperCamelCase      :   List[str]			      =  2**24  # 16Mo
 try:
  with subprocess.Popen(_lowerCAmelCase				,  stdout=subprocess.PIPE				,  bufsize=_lowerCAmelCase	) as ffmpeg_process:
   while True:
    UpperCamelCase      :   Optional[int]			      =  ffmpeg_process.stdout.read(_lowerCAmelCase	)
    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_							(	_lowerCAmelCase = 1000	)		->					int:
 UpperCamelCase      :   Optional[int]			      =  -1
 UpperCamelCase      :   int			      =  0
 for a in range(1				,  n // 3	):
  # Solving the two equations a**2+b**2=c**2 and a+b+c=N eliminating c
  UpperCamelCase      :   Optional[Any]			      =  (n * n - 2 * a * n) // (2 * n - 2 * a)
  UpperCamelCase      :   List[str]			      =  n - a - b
  if c * c == (a * a + b * b):
   UpperCamelCase      :   Union[str, Any]			      =  a * b * c
   if candidate >= product:
    UpperCamelCase      :   Tuple			      =  candidate
 return product


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