



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

import numpy as np






def  UpperCAmelCase__    (    lowercase__						,       lowercase__   ) ->      np.array:
						__lowercase					=				F"{sampling_rate}"
						__lowercase					=				"""1"""
						__lowercase					=				"""f32le"""
						__lowercase					=				[
						    """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:
																		__lowercase					=				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
						__lowercase					=				output_stream[0]
						__lowercase					=				np.frombuffer(a__						,       np.floataa   )
						if audio.shape[0] == 0:
												raise ValueError("""Malformed soundfile"""   )
						return audio






def  UpperCAmelCase__    (    lowercase__						,       lowercase__						,       lowercase__ = "f32le"						,       ) ->      int:
						__lowercase					=				F"{sampling_rate}"
						__lowercase					=				"""1"""
						if format_for_conversion == "s16le":
												__lowercase					=				2
						elif format_for_conversion == "f32le":
												__lowercase					=				4
						else:
												raise ValueError(F"Unhandled format `{format_for_conversion}`. Please use `s16le` or `f32le`"   )

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

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






def  UpperCAmelCase__    (    lowercase__						,       lowercase__						,       lowercase__ = None						,       lowercase__ = None						,       lowercase__ = "f32le"						,       ) ->      Union[str, Any]:

						if stream_chunk_s is not None:
												__lowercase					=				stream_chunk_s
						else:
												__lowercase					=				chunk_length_s

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

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

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






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







def  UpperCAmelCase__    (    lowercase__						,       lowercase__   ) ->      Optional[Any]:
						__lowercase					=				2**24  # 16Mo
						try:
												with subprocess.Popen(a__						,       stdout=subprocess.PIPE						,       bufsize=a__   ) as ffmpeg_process:
																		while True:
																								__lowercase					=				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










from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Features, Value
from .base import TaskTemplate
@dataclass(frozen=_UpperCAmelCase			)
class 			_lowerCAmelCase   ( _UpperCAmelCase			):






			"""simple docstring"""





			lowercase__      :  str      =			field(default="""summarization"""    ,					metadata={"""include_in_asdict_even_if_is_default""": True}			)
			lowercase__      :  ClassVar[Features]      =			Features({"""text""": Value("""string"""			)}			)
			lowercase__      :  ClassVar[Features]      =			Features({"""summary""": Value("""string"""			)}			)
			lowercase__      :  str      =			"text"
			lowercase__      :  str      =			"summary"





			@property
			def 		snake_case__			(				self	:       List[Any]   )						->					Dict[str, str]:
									"""simple docstring"""







									return {self.text_column: "text", self.summary_column: "summary"}





