



"""simple docstring"""
import datetime
import platform
import subprocess
from typing import Optional, Tuple, Union

import numpy as np



def 							lowerCAmelCase_( lowercase_  :				Tuple    , lowercase_  :				str				)						->							List[str]:
				_lowerCamelCase   	=					F"""{sampling_rate}"""
				_lowerCamelCase   	=					'''1'''
				_lowerCamelCase   	=					'''f32le'''
				_lowerCamelCase   	=					[
				    '''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:
												_lowerCamelCase   	=					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
				_lowerCamelCase   	=					output_stream[0]
				_lowerCamelCase   	=					np.frombuffer(lowercase_    , np.floataa				)
				if audio.shape[0] == 0:
								raise ValueError('''Malformed soundfile'''				)
				return audio



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

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

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



def 							lowerCAmelCase_( lowercase_  :				Optional[Any]    , lowercase_  :				Optional[Any]    , lowercase_  :				Tuple = None    , lowercase_  :				Optional[int] = None    , lowercase_  :				int = "f32le"    , )						->							Union[str, Any]:
				if stream_chunk_s is not None:
								_lowerCamelCase   	=					stream_chunk_s
				else:
								_lowerCamelCase   	=					chunk_length_s

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

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

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



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




def 							lowerCAmelCase_( lowercase_  :				Any    , lowercase_  :				Dict				)						->							List[Any]:
				_lowerCamelCase   	=					2**24  # 16Mo
				try:
								with subprocess.Popen(lowercase_    , stdout=subprocess.PIPE    , bufsize=lowercase_				) as ffmpeg_process:
												while True:
																_lowerCamelCase   	=					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"""


from transformers import BertTokenizerFast

from .custom_tokenization import CustomTokenizer


class 							a					(		lowerCAmelCase_ ):
    _snake_case  :	Dict  				=				CustomTokenizer
    pass
