

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

import numpy as np


def     __SCREAMING_SNAKE_CASE   (SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__			):
						snake_case_  =      F'''{sampling_rate}'''
						snake_case_  =      '''1'''
						snake_case_  =      '''f32le'''
						snake_case_  =      [
						    '''ffmpeg''',
						    '''-i''',
						    '''pipe:0''',
						    '''-ac''',
						    ac,
						    '''-ar''',
						    ar,
						    '''-f''',
						    format_for_conversion,
						    '''-hide_banner''',
						    '''-loglevel''',
						    '''quiet''',
						    '''pipe:1''',
						]

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


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

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

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


def     __SCREAMING_SNAKE_CASE   (SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__ = None    ,						SCREAMING_SNAKE_CASE__ = None    ,						SCREAMING_SNAKE_CASE__ = "f32le"    ,						):
						if stream_chunk_s is not None:
												snake_case_  =      stream_chunk_s
						else:
												snake_case_  =      chunk_length_s

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

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

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


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


def     __SCREAMING_SNAKE_CASE   (SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__			):
						snake_case_  =      2**24  # 16Mo
						try:
												with subprocess.Popen(SCREAMING_SNAKE_CASE__    ,						stdout=subprocess.PIPE    ,						bufsize=SCREAMING_SNAKE_CASE__			) as ffmpeg_process:
																		while True:
																								snake_case_  =      ffmpeg_process.stdout.read(SCREAMING_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





import numpy as np
def 		a_							( __lowerCAmelCase   , __lowerCAmelCase   , __lowerCAmelCase   , __lowerCAmelCase   , __lowerCAmelCase				):
  lowerCAmelCase__										=      int(np.ceil((x_end - xa) / h				)				)
  lowerCAmelCase__										=      np.zeros((n + 1,)				)
  lowerCAmelCase__										=      ya
  lowerCAmelCase__										=      xa

  for k in range(__lowerCAmelCase				):
    lowerCAmelCase__										=      f(__lowerCAmelCase   , y[k]				)
    lowerCAmelCase__										=      f(x + 0.5 * h   , y[k] + 0.5 * h * ka				)
    lowerCAmelCase__										=      f(x + 0.5 * h   , y[k] + 0.5 * h * ka				)
    lowerCAmelCase__										=      f(x + h   , y[k] + h * ka				)
    lowerCAmelCase__										=      y[k] + (1 / 6) * h * (ka + 2 * ka + 2 * ka + ka)
    x += h

  return y


if __name__ == "__main__":
      import doctest

      doctest.testmod()

