



'''simple docstring'''




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

import numpy as np


def        lowerCAmelCase_     (			_lowerCamelCase:     bytes ,   _lowerCamelCase:     int      ):
		__SCREAMING_SNAKE_CASE :	Dict					 =	F"{sampling_rate}"
		__SCREAMING_SNAKE_CASE :	List[str]					 =	"""1"""
		__SCREAMING_SNAKE_CASE :	Dict					 =	"""f32le"""
		__SCREAMING_SNAKE_CASE :	Union[str, Any]					 =	[
		    """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:
						__SCREAMING_SNAKE_CASE :	int					 =	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
		__SCREAMING_SNAKE_CASE :	Dict					 =	output_stream[0]
		__SCREAMING_SNAKE_CASE :	Union[str, Any]					 =	np.frombuffer(_lowerCamelCase ,   np.floataa      )
		if audio.shape[0] == 0:
				raise ValueError("""Malformed soundfile"""      )
		return audio


def        lowerCAmelCase_     (			_lowerCamelCase:     int ,   _lowerCamelCase:     float ,   _lowerCamelCase:     str = "f32le" ,   ):
		__SCREAMING_SNAKE_CASE :	Optional[int]					 =	F"{sampling_rate}"
		__SCREAMING_SNAKE_CASE :	str					 =	"""1"""
		if format_for_conversion == "s16le":
				__SCREAMING_SNAKE_CASE :	List[str]					 =	2
		elif format_for_conversion == "f32le":
				__SCREAMING_SNAKE_CASE :	str					 =	4
		else:
				raise ValueError(F"Unhandled format `{format_for_conversion}`. Please use `s16le` or `f32le`"      )

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

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


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




		if stream_chunk_s is not None:
				__SCREAMING_SNAKE_CASE :	Optional[int]					 =	stream_chunk_s
		else:
				__SCREAMING_SNAKE_CASE :	List[Any]					 =	chunk_length_s

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

		if stride_length_s is None:
				__SCREAMING_SNAKE_CASE :	str					 =	chunk_length_s / 6
		__SCREAMING_SNAKE_CASE :	Union[str, Any]					 =	int(round(sampling_rate * chunk_length_s      )      ) * size_of_sample
		if isinstance(_lowerCamelCase ,   (int, float)      ):
				__SCREAMING_SNAKE_CASE :	Optional[Any]					 =	[stride_length_s, stride_length_s]

		__SCREAMING_SNAKE_CASE :	List[str]					 =	int(round(sampling_rate * stride_length_s[0]      )      ) * size_of_sample
		__SCREAMING_SNAKE_CASE :	Union[str, Any]					 =	int(round(sampling_rate * stride_length_s[1]      )      ) * size_of_sample
		__SCREAMING_SNAKE_CASE :	List[Any]					 =	datetime.datetime.now()
		__SCREAMING_SNAKE_CASE :	List[Any]					 =	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
				__SCREAMING_SNAKE_CASE :	int					 =	np.frombuffer(item["""raw"""] ,   dtype=_lowerCamelCase      )
				__SCREAMING_SNAKE_CASE :	Optional[int]					 =	(
				    item["""stride"""][0] // size_of_sample,
				    item["""stride"""][1] // size_of_sample,
				)
				__SCREAMING_SNAKE_CASE :	str					 =	sampling_rate
				audio_time += delta
				if datetime.datetime.now() > audio_time + 10 * delta:
						# We're late !! SKIP
						continue
				yield item


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


def        lowerCAmelCase_     (			_lowerCamelCase:     Optional[int] ,   _lowerCamelCase:     int      ):
		__SCREAMING_SNAKE_CASE :	Optional[int]					 =	2**24  # 16Mo
		try:
				with subprocess.Popen(_lowerCamelCase ,   stdout=subprocess.PIPE ,   bufsize=_lowerCamelCase      ) as ffmpeg_process:
						while True:
								__SCREAMING_SNAKE_CASE :	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




'''simple docstring'''




from ..utils import DummyObject, requires_backends






class 		_UpperCamelCase						(							metaclass=lowerCamelCase__					):


			'''simple docstring'''

			_A   :	Optional[int]    					=	['''onnx''']

			def __init__(							self  :				List[str]							,  *lowerCAmelCase__  :				Optional[int]							,  **lowerCAmelCase__  :				List[Any]		):





					"""simple docstring"""






					requires_backends(self							,  ["""onnx"""]		)

			@classmethod
			def UpperCamelCase__      (							cls  :				Optional[int]							,  *lowerCAmelCase__  :				int							,  **lowerCAmelCase__  :				int		):





					"""simple docstring"""






					requires_backends(cls							,  ["""onnx"""]		)



			@classmethod
			def UpperCamelCase__      (							cls  :				Tuple							,  *lowerCAmelCase__  :				List[str]							,  **lowerCAmelCase__  :				Optional[Any]		):





					"""simple docstring"""






					requires_backends(cls							,  ["""onnx"""]		)