def 					__lowerCAmelCase			(  _A					):



							"""simple docstring"""


							return -num if num < 0 else num


def 					__lowerCAmelCase			(  _A					):



							"""simple docstring"""


							if len(_A					) == 0:
														raise ValueError("""abs_min() arg is an empty sequence"""					)
							_lowercase				=	x[0]
							for i in x:
														if abs_val(_A					) < abs_val(_A					):
																					_lowercase				=	i
							return j


def 					__lowerCAmelCase			(  _A					):



							"""simple docstring"""


							if len(_A					) == 0:
														raise ValueError("""abs_max() arg is an empty sequence"""					)
							_lowercase				=	x[0]
							for i in x:
														if abs(_A					) > abs(_A					):
																					_lowercase				=	i
							return j


def 					__lowerCAmelCase			(  _A					):



							"""simple docstring"""


							if len(_A					) == 0:
														raise ValueError("""abs_max_sort() arg is an empty sequence"""					)
							return sorted(_A ,key=_A					)[-1]


def 					__lowerCAmelCase			(  ):



							"""simple docstring"""


							assert abs_val(0					) == 0
							assert abs_val(34					) == 34
							assert abs_val(-100_000_000_000					) == 100_000_000_000

							_lowercase				=	[-3, -1, 2, -11]
							assert abs_max(_A					) == -11
							assert abs_max_sort(_A					) == -11
							assert abs_min(_A					) == -1


if __name__ == "__main__":
				import doctest

				doctest.testmod()

				test_abs_val()
				print(abs_val(-34))  # --> 34



from ctypes import c_float, sizeof
from enum import Enum
from typing import TYPE_CHECKING, Optional, Union


if TYPE_CHECKING:
				from .. import AutoFeatureExtractor, AutoProcessor, AutoTokenizer  # tests_ignore


class _lowercase					(       _UpperCAmelCase						):





							"""simple docstring"""




							lowerCAmelCase__       =					c_float



							@property
							def     _UpperCAmelCase       (    self  ):







														'''simple docstring'''






														return sizeof(self.value  )






def 					__lowerCAmelCase			(  _A ,_A ,_A = 0					):



							"""simple docstring"""


							if dimension <= 0:
														_lowercase				=	fixed_dimension

							dimension -= num_token_to_add
							return dimension


def 					__lowerCAmelCase			(  _A ,_A					):



							"""simple docstring"""


							return num_parameters * dtype.size







def 					__lowerCAmelCase			(  _A					):



							"""simple docstring"""


							from .. import AutoFeatureExtractor, AutoProcessor, AutoTokenizer  # tests_ignore

							try:
														return AutoProcessor.from_pretrained(_A					)
							except (ValueError, OSError, KeyError):
														_lowercase				,       _lowercase				=	None, None
														try:
																					_lowercase				=	AutoTokenizer.from_pretrained(_A					)
														except (OSError, KeyError):
																					pass
														try:
																					_lowercase				=	AutoFeatureExtractor.from_pretrained(_A					)
														except (OSError, KeyError):
																					pass

														if tokenizer is not None and feature_extractor is not None:
																					raise ValueError(
																					    f'''Couldn\'t auto-detect preprocessor for {model_name}. Found both a tokenizer and a feature extractor.'''					)
														elif tokenizer is None and feature_extractor is None:
																					return None
														elif tokenizer is not None:
																					return tokenizer
														else:
																					return feature_extractor


