





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 					UpperCamelCase_    (       UpperCAmelCase_      ):
							lowerCamelCase_          =   c_float


							@property
							def        _snake_case					(							self      :Optional[int]						)				->				Union[str, Any]:



									"""simple docstring"""



									return sizeof(self.value						)






def 			SCREAMING_SNAKE_CASE__							(    UpperCamelCase__:							int   ,				UpperCamelCase__:							Union[str, Any]   ,				UpperCamelCase__:							Any = 0      ):







		if dimension <= 0:
				SCREAMING_SNAKE_CASE__								= fixed_dimension

		dimension -= num_token_to_add
		return dimension






def 			SCREAMING_SNAKE_CASE__							(    UpperCamelCase__:							Any   ,				UpperCamelCase__:							Optional[Any]      ):
		return num_parameters * dtype.size






def 			SCREAMING_SNAKE_CASE__							(    UpperCamelCase__:							Union[str, Any]      ):
		from .. import AutoFeatureExtractor, AutoProcessor, AutoTokenizer  # tests_ignore

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






from typing import Callable






def 			SCREAMING_SNAKE_CASE__							(    UpperCamelCase__:							Callable      ):

		def wrapper(UpperCamelCase__:							List[Any]      ):
				SCREAMING_SNAKE_CASE__								= function_with_docstring.__doc__
				return target_function

		return wrapper