

"""simple docstring"""






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

import numpy as np



def   lowercase_	(    _lowercase       :		bytes							,      _lowercase       :		int	):




					'''simple docstring'''






					UpperCAmelCase			:   int      =				F"""{sampling_rate}"""
					UpperCAmelCase			:   List[str]      =				"1"
					UpperCAmelCase			:   str      =				"f32le"
					UpperCAmelCase			:   List[Any]      =				[
					    "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:
															UpperCAmelCase			:   Tuple      =				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
					UpperCAmelCase			:   Dict      =				output_stream[0]
					UpperCAmelCase			:   Dict      =				np.frombuffer(_lowercase							,      np.floataa	)
					if audio.shape[0] == 0:
										raise ValueError("Malformed soundfile"	)
					return audio



def   lowercase_	(    _lowercase       :		int							,      _lowercase       :		float							,      _lowercase       :		str = "f32le"							,      ):




					'''simple docstring'''






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

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

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



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




					'''simple docstring'''






					if stream_chunk_s is not None:
										UpperCAmelCase			:   Optional[Any]      =				stream_chunk_s
					else:
										UpperCAmelCase			:   Union[str, Any]      =				chunk_length_s

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

					if stride_length_s is None:
										UpperCAmelCase			:   Optional[int]      =				chunk_length_s / 6
					UpperCAmelCase			:   Dict      =				int(round(sampling_rate * chunk_length_s	)	) * size_of_sample
					if isinstance(_lowercase							,      (int, float)	):
										UpperCAmelCase			:   Optional[Any]      =				[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			:   Optional[Any]      =				datetime.datetime.now()
					UpperCAmelCase			:   Any      =				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
										UpperCAmelCase			:   int      =				np.frombuffer(item["raw"]							,      dtype=_lowercase	)
										UpperCAmelCase			:   int      =				(
										    item["stride"][0] // size_of_sample,
										    item["stride"][1] // size_of_sample,
										)
										UpperCAmelCase			:   Optional[Any]      =				sampling_rate
										audio_time += delta
										if datetime.datetime.now() > audio_time + 10 * delta:
															# We're late !! SKIP
															continue
										yield item



def   lowercase_	(    _lowercase       :		str							,      _lowercase       :		int							,      _lowercase       :		Tuple[int, int]							,      _lowercase       :		bool = False	):




					'''simple docstring'''






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




def   lowercase_	(    _lowercase       :		str							,      _lowercase       :		int	):




					'''simple docstring'''






					UpperCAmelCase			:   Any      =				2**24  # 16Mo
					try:
										with subprocess.Popen(_lowercase							,      stdout=subprocess.PIPE							,      bufsize=_lowercase	) as ffmpeg_process:
															while True:
																				UpperCAmelCase			:   Any      =				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





"""simple docstring"""






def   lowercase_	(    _lowercase       :		List[str]							,      _lowercase       :		Tuple							,      _lowercase       :		int							,      _lowercase       :		Optional[Any]	):




					'''simple docstring'''






					UpperCAmelCase			:   int      =				[False] * len(_lowercase	)
					UpperCAmelCase			:   List[str]      =				[]
					queue.append(_lowercase	)
					UpperCAmelCase			:   List[Any]      =				True

					while queue:
										UpperCAmelCase			:   Any      =				queue.pop(0	)
										for ind in range(len(graph[u]	)	):
															if visited[ind] is False and graph[u][ind] > 0:
																				queue.append(_lowercase	)
																				UpperCAmelCase			:   Optional[int]      =				True
																				UpperCAmelCase			:   int      =				u

					return visited[t]



def   lowercase_	(    _lowercase       :		Tuple							,      _lowercase       :		Dict							,      _lowercase       :		Optional[int]	):




					'''simple docstring'''






					UpperCAmelCase			:   List[Any]      =				[-1] * (len(_lowercase	))
					UpperCAmelCase			:   List[Any]      =				0
					while bfs(_lowercase							,      _lowercase							,      _lowercase							,      _lowercase	):
										UpperCAmelCase			:   List[str]      =				float("Inf"	)
										UpperCAmelCase			:   str      =				sink

										while s != source:
															# Find the minimum value in select path
															UpperCAmelCase			:   Tuple      =				min(_lowercase							,      graph[parent[s]][s]	)
															UpperCAmelCase			:   Optional[Any]      =				parent[s]

										max_flow += path_flow
										UpperCAmelCase			:   List[str]      =				sink

										while v != source:
															UpperCAmelCase			:   Dict      =				parent[v]
															graph[u][v] -= path_flow
															graph[v][u] += path_flow
															UpperCAmelCase			:   Dict      =				parent[v]
					return max_flow


snake_case_   :   Optional[Any]        =       [
    [0, 1_6, 1_3, 0, 0, 0],
    [0, 0, 1_0, 1_2, 0, 0],
    [0, 4, 0, 0, 1_4, 0],
    [0, 0, 9, 0, 0, 2_0],
    [0, 0, 0, 7, 0, 4],
    [0, 0, 0, 0, 0, 0],
]

snake_case_     ,      snake_case_   :   str        =       0, 5




print(ford_fulkerson(graph, source, sink))


