





"""simple docstring"""






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

import numpy as np






def      lowercase__ (					lowerCAmelCase__   :			bytes							,			lowerCAmelCase__   :			int			)    ->			np.array:



			'''simple docstring'''
			a__  :	Dict		 =			F"{sampling_rate}"
			a__  :	str		 =			"1"
			a__  :	Optional[Any]		 =			"f32le"
			a__  :	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:
									a__  :	Dict		 =			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
			a__  :	Dict		 =			output_stream[0]
			a__  :	Optional[int]		 =			np.frombuffer(lowerCAmelCase__							,			np.floataa			)
			if audio.shape[0] == 0:
						raise ValueError("Malformed soundfile"			)
			return audio






def      lowercase__ (					lowerCAmelCase__   :			int							,			lowerCAmelCase__   :			float							,			lowerCAmelCase__   :			str = "f32le"							,			)    ->			List[str]:



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

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

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






def      lowercase__ (					lowerCAmelCase__   :			int							,			lowerCAmelCase__   :			float							,			lowerCAmelCase__   :			Optional[int] = None							,			lowerCAmelCase__   :			Optional[Union[Tuple[float, float], float]] = None							,			lowerCAmelCase__   :			str = "f32le"							,			)    ->			List[Any]:



			'''simple docstring'''
			if stream_chunk_s is not None:
						a__  :	List[str]		 =			stream_chunk_s
			else:
						a__  :	List[Any]		 =			chunk_length_s

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

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

			a__  :	Tuple		 =			int(round(sampling_rate * stride_length_s[0]			)			) * size_of_sample
			a__  :	str		 =			int(round(sampling_rate * stride_length_s[1]			)			) * size_of_sample
			a__  :	Union[str, Any]		 =			datetime.datetime.now()
			a__  :	Dict		 =			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
						a__  :	Dict		 =			np.frombuffer(item["raw"]							,			dtype=lowerCAmelCase__			)
						a__  :	Tuple		 =			(
						    item["stride"][0] // size_of_sample,
						    item["stride"][1] // size_of_sample,
						)
						a__  :	Optional[int]		 =			sampling_rate
						audio_time += delta
						if datetime.datetime.now() > audio_time + 1_0 * delta:
									# We're late !! SKIP
									continue
						yield item






def      lowercase__ (					lowerCAmelCase__   :			Dict							,			lowerCAmelCase__   :			int							,			lowerCAmelCase__   :			Tuple[int, int]							,			lowerCAmelCase__   :			bool = False			)    ->			str:



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






def      lowercase__ (					lowerCAmelCase__   :			str							,			lowerCAmelCase__   :			int			)    ->			List[Any]:



			'''simple docstring'''
			a__  :	Dict		 =			2**2_4  # 16Mo
			try:
						with subprocess.Popen(lowerCAmelCase__							,			stdout=subprocess.PIPE							,			bufsize=lowerCAmelCase__			) as ffmpeg_process:
									while True:
												a__  :	Tuple		 =			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






"""simple docstring"""






def      lowercase__ (					lowerCAmelCase__   :			str			)    ->			list[int]:



			'''simple docstring'''
			a__  :	List[str]		 =			[0 for i in range(len(lowerCAmelCase__			)			)]

			# initialize interval's left pointer and right pointer
			a__ ,	a__  :	int		 =			0, 0

			for i in range(1							,			len(lowerCAmelCase__			)			):
						# case when current index is inside the interval
						if i <= right_pointer:
									a__  :	List[Any]		 =			min(right_pointer - i + 1							,			z_result[i - left_pointer]			)
									a__  :	List[str]		 =			min_edge

						while go_next(lowerCAmelCase__							,			lowerCAmelCase__							,			lowerCAmelCase__			):
									z_result[i] += 1

						# if new index's result gives us more right interval,
						# we've to update left_pointer and right_pointer
						if i + z_result[i] - 1 > right_pointer:
									a__ ,	a__  :	str		 =			i, i + z_result[i] - 1

			return z_result






def      lowercase__ (					lowerCAmelCase__   :			int							,			lowerCAmelCase__   :			list[int]							,			lowerCAmelCase__   :			str			)    ->			bool:



			'''simple docstring'''
			return i + z_result[i] < len(lowerCAmelCase__			) and s[z_result[i]] == s[i + z_result[i]]






def      lowercase__ (					lowerCAmelCase__   :			str							,			lowerCAmelCase__   :			str			)    ->			int:



			'''simple docstring'''
			a__  :	List[Any]		 =			0
			# concatenate 'pattern' and 'input_str' and call z_function
			# with concatenated string
			a__  :	List[str]		 =			z_function(pattern + input_str			)

			for val in z_result:
						# if value is greater then length of the pattern string
						# that means this index is starting position of substring
						# which is equal to pattern string
						if val >= len(lowerCAmelCase__			):
									answer += 1

			return answer


if __name__ == "__main__":
		import doctest

		doctest.testmod()