






import warnings
from contextlib import contextmanager

from ...processing_utils import ProcessorMixin


class      __SCREAMING_SNAKE_CASE       ( __lowercase):
						_SCREAMING_SNAKE_CASE						:							Union[str, Any]				=       '''AutoFeatureExtractor'''
						_SCREAMING_SNAKE_CASE						:							List[Any]				=       '''Speech2Text2Tokenizer'''






						def __init__(						self  ,    _UpperCamelCase  ,    _UpperCamelCase ):






												"""simple docstring"""
												super().__init__(_UpperCamelCase  ,    _UpperCamelCase )
												lowerCAmelCase__         =    self.feature_extractor
												lowerCAmelCase__         =    False






						def __call__(						self  ,    *_UpperCamelCase  ,    **_UpperCamelCase ):






												"""simple docstring"""
												# For backward compatibility
												if self._in_target_context_manager:
																		return self.current_processor(*_UpperCamelCase  ,    **_UpperCamelCase )

												if "raw_speech" in kwargs:
																		warnings.warn('Using `raw_speech` as a keyword argument is deprecated. Use `audio` instead.' )
																		lowerCAmelCase__         =    kwargs.pop('raw_speech' )
												else:
																		lowerCAmelCase__         =    kwargs.pop('audio'  ,    _UpperCamelCase )
												lowerCAmelCase__         =    kwargs.pop('sampling_rate'  ,    _UpperCamelCase )
												lowerCAmelCase__         =    kwargs.pop('text'  ,    _UpperCamelCase )
												if len(_UpperCamelCase ) > 0:
																		lowerCAmelCase__         =    args[0]
																		lowerCAmelCase__         =    args[1:]

												if audio is None and text is None:
																		raise ValueError('You need to specify either an `audio` or `text` input to process.' )

												if audio is not None:
																		lowerCAmelCase__         =    self.feature_extractor(_UpperCamelCase  ,    *_UpperCamelCase  ,    sampling_rate=_UpperCamelCase  ,    **_UpperCamelCase )
												if text is not None:
																		lowerCAmelCase__         =    self.tokenizer(_UpperCamelCase  ,    **_UpperCamelCase )

												if text is None:
																		return inputs
												elif audio is None:
																		return encodings
												else:
																		lowerCAmelCase__         =    encodings['input_ids']
																		return inputs






						def    UpperCamelCase__   (						self  ,    *_UpperCamelCase  ,    **_UpperCamelCase ):






												"""simple docstring"""
												return self.tokenizer.batch_decode(*_UpperCamelCase  ,    **_UpperCamelCase )






						def    UpperCamelCase__   (						self  ,    *_UpperCamelCase  ,    **_UpperCamelCase ):






												"""simple docstring"""
												return self.tokenizer.decode(*_UpperCamelCase  ,    **_UpperCamelCase )







						@contextmanager
						def    UpperCamelCase__   (						self ):






												"""simple docstring"""
												warnings.warn(
												    '`as_target_processor` is deprecated and will be removed in v5 of Transformers. You can process your '
												    'labels by using the argument `text` of the regular `__call__` method (either in the same call as '
												    'your audio inputs, or in a separate call.' )
												lowerCAmelCase__         =    True
												lowerCAmelCase__         =    self.tokenizer
												yield
												lowerCAmelCase__         =    self.feature_extractor
												lowerCAmelCase__         =    False













from __future__ import annotations







def 						_UpperCamelCase (     UpperCamelCase_							:       list[int]		)	-> list[int]:

						"""simple docstring"""



						if not list_of_ints:
												return []

						if min(UpperCamelCase_		) < 0:
												raise ValueError('All numbers must be positive'		)

						lowerCAmelCase__         =    max(len(bin(UpperCamelCase_		)[2:]		) for x in list_of_ints		)
						return _msd_radix_sort(UpperCamelCase_     ,							UpperCamelCase_		)







def 						_UpperCamelCase (     UpperCamelCase_							:       list[int]     ,							UpperCamelCase_							:       int		)	-> list[int]:

						"""simple docstring"""



						if bit_position == 0 or len(UpperCamelCase_		) in [0, 1]:
												return list_of_ints

						lowerCAmelCase__         =    []
						lowerCAmelCase__         =    []
						# Split numbers based on bit at bit_position from the right
						for number in list_of_ints:
												if (number >> (bit_position - 1)) & 1:
																		# number has a one at bit bit_position
																		ones.append(UpperCamelCase_		)
												else:
																		# number has a zero at bit bit_position
																		zeros.append(UpperCamelCase_		)

    # recursively split both lists further
						lowerCAmelCase__         =    _msd_radix_sort(UpperCamelCase_     ,							bit_position - 1		)
						lowerCAmelCase__         =    _msd_radix_sort(UpperCamelCase_     ,							bit_position - 1		)

						# recombine lists
						lowerCAmelCase__         =    zeros
						res.extend(UpperCamelCase_		)

						return res







def 						_UpperCamelCase (     UpperCamelCase_							:       list[int]		)	-> Any:

						"""simple docstring"""



						lowerCAmelCase__         =    len(UpperCamelCase_		)
						if not list_of_ints or length == 1:
												return

						if min(UpperCamelCase_		) < 0:
												raise ValueError('All numbers must be positive'		)

						lowerCAmelCase__         =    max(len(bin(UpperCamelCase_		)[2:]		) for x in list_of_ints		)
						_msd_radix_sort_inplace(UpperCamelCase_     ,							UpperCamelCase_     ,							0     ,							UpperCamelCase_		)







def 						_UpperCamelCase (     UpperCamelCase_							:       list[int]     ,							UpperCamelCase_							:       int     ,							UpperCamelCase_							:       int     ,							UpperCamelCase_							:       int		)	-> int:

						"""simple docstring"""



						if bit_position == 0 or end_index - begin_index <= 1:
												return

						bit_position -= 1

						lowerCAmelCase__         =    begin_index
						lowerCAmelCase__         =    end_index - 1
						while i <= j:
												lowerCAmelCase__         =    False
												if not (list_of_ints[i] >> bit_position) & 1:
																		# found zero at the beginning
																		i += 1
																		lowerCAmelCase__         =    True
												if (list_of_ints[j] >> bit_position) & 1:
																		# found one at the end
																		j -= 1
																		lowerCAmelCase__         =    True

												if changed:
																		continue

												lowerCAmelCase__    ,							lowerCAmelCase__         =    list_of_ints[j], list_of_ints[i]
												j -= 1
												if j != i:
																		i += 1

						_msd_radix_sort_inplace(UpperCamelCase_     ,							UpperCamelCase_     ,							UpperCamelCase_     ,							UpperCamelCase_		)
						_msd_radix_sort_inplace(UpperCamelCase_     ,							UpperCamelCase_     ,							UpperCamelCase_     ,							UpperCamelCase_		)


if __name__ == "__main__":
					import doctest

					doctest.testmod()





