


'''simple docstring'''


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__  (						_snake_case ):





							'''simple docstring'''


							A_							:				int				     =  c_float






							@property
							def UpperCAmelCase_     (   self  ):
											return sizeof(self.value  )







def       snake_case_       (  SCREAMING_SNAKE_CASE__							,				SCREAMING_SNAKE_CASE__							,				SCREAMING_SNAKE_CASE__ = 0					):







				"""simple docstring"""





				if dimension <= 0:
								_SCREAMING_SNAKE_CASE			:	int							=				fixed_dimension

				dimension -= num_token_to_add
				return dimension







def       snake_case_       (  SCREAMING_SNAKE_CASE__							,				SCREAMING_SNAKE_CASE__					):







				"""simple docstring"""





				return num_parameters * dtype.size







def       snake_case_       (  SCREAMING_SNAKE_CASE__					):







				"""simple docstring"""





				from .. import AutoFeatureExtractor, AutoProcessor, AutoTokenizer  # tests_ignore

				try:
								return AutoProcessor.from_pretrained(SCREAMING_SNAKE_CASE__					)
				except (ValueError, OSError, KeyError):
								_SCREAMING_SNAKE_CASE		,	_SCREAMING_SNAKE_CASE			:	Optional[Any]							=				None, None
								try:
												_SCREAMING_SNAKE_CASE			:	Optional[int]							=				AutoTokenizer.from_pretrained(SCREAMING_SNAKE_CASE__					)
								except (OSError, KeyError):
												pass
								try:
												_SCREAMING_SNAKE_CASE			:	int							=				AutoFeatureExtractor.from_pretrained(SCREAMING_SNAKE_CASE__					)
								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








'''simple docstring'''


def       snake_case_       (  SCREAMING_SNAKE_CASE__							,				SCREAMING_SNAKE_CASE__					):







				"""simple docstring"""





				_SCREAMING_SNAKE_CASE			:	Tuple							=				1
				while b > 0:
								if b & 1:
												res *= a

								a *= a
								b >>= 1

				return res







def       snake_case_       (  SCREAMING_SNAKE_CASE__							,				SCREAMING_SNAKE_CASE__							,				SCREAMING_SNAKE_CASE__					):







				"""simple docstring"""





				_SCREAMING_SNAKE_CASE			:	Union[str, Any]							=				1
				while b > 0:
								if b & 1:
												_SCREAMING_SNAKE_CASE			:	Tuple							=				((res % c) * (a % c)) % c

								a *= a
								b >>= 1

				return res




