



'''simple docstring'''
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(__a							, stdin=subprocess.PIPE							, stdout=subprocess.PIPE				) as ffmpeg_process:
																					_snake_case       =  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
							_snake_case       =  output_stream[0]
							_snake_case       =  np.frombuffer(__a							, 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(__a							, __a				)
							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(__a							, __a							, format_for_conversion=__a				)
							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(__a							, (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=__a				)
							for item in chunk_bytes_iter(__a							, __a							, stride=(stride_left, stride_right)							, stream=__a				):
														# Put everything back in numpy scale
														_snake_case       =  np.frombuffer(item["""raw"""]							, dtype=__a				)
														_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       =  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(__a				) < chunk_len:
																					_snake_case       =  (_stride_left, 0)
																					yield {"raw": acc[:chunk_len], "stride": stride, "partial": True}
														else:
																					while len(__a				) >= 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(__a				) > 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(__a							, stdout=subprocess.PIPE							, bufsize=__a				) as ffmpeg_process:
																					while True:
																												_snake_case       =  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

'''simple docstring'''
from __future__ import annotations






def  __SCREAMING_SNAKE_CASE				(  _SCREAMING_SNAKE_CASE				):
							_snake_case       =  len(_SCREAMING_SNAKE_CASE				)
							# We need to create solution object to save path.
							_snake_case       =  [[0 for _ in range(_SCREAMING_SNAKE_CASE				)] for _ in range(_SCREAMING_SNAKE_CASE				)]
							_snake_case       =  run_maze(_SCREAMING_SNAKE_CASE							, 0							, 0							, _SCREAMING_SNAKE_CASE				)
							if solved:
														print("""\n""".join(str(_SCREAMING_SNAKE_CASE				) for row in solutions				)				)
							else:
														print("""No solution exists!"""				)
							return solved






def  __SCREAMING_SNAKE_CASE				(  _SCREAMING_SNAKE_CASE							, _SCREAMING_SNAKE_CASE							, _SCREAMING_SNAKE_CASE							, _SCREAMING_SNAKE_CASE				):
							_snake_case       =  len(_SCREAMING_SNAKE_CASE				)
							# Final check point.
							if i == j == (size - 1):
														_snake_case       =  1
														return True

							_snake_case       =  (not i < 0) and (not j < 0)  # Check lower bounds
							_snake_case       =  (i < size) and (j < size)  # Check upper bounds

							if lower_flag and upper_flag:
														# check for already visited and block points.
														_snake_case       =  (not solutions[i][j]) and (not maze[i][j])
														if block_flag:
																					# check visited
																					_snake_case       =  1

																					# check for directions
																					if (
																					    run_maze(_SCREAMING_SNAKE_CASE							, i + 1							, _SCREAMING_SNAKE_CASE							, _SCREAMING_SNAKE_CASE				)
																					    or run_maze(_SCREAMING_SNAKE_CASE							, _SCREAMING_SNAKE_CASE							, j + 1							, _SCREAMING_SNAKE_CASE				)
																					    or run_maze(_SCREAMING_SNAKE_CASE							, i - 1							, _SCREAMING_SNAKE_CASE							, _SCREAMING_SNAKE_CASE				)
																					    or run_maze(_SCREAMING_SNAKE_CASE							, _SCREAMING_SNAKE_CASE							, j - 1							, _SCREAMING_SNAKE_CASE				)
																					):
																												return True

																					_snake_case       =  0
																					return False
							return False


if __name__ == "__main__":
				import doctest

				doctest.testmod()