


'''simple docstring'''
from __future__ import annotations

from enum import Enum, unique
from typing import TypeVar

# Create a generic variable that can be 'Enum', or any subclass.
__magic_name__   :   Optional[int]  							=TypeVar('T', bound='Enum')






@unique
class 		UpperCamelCase_		(					A   ):





						"""simple docstring"""




						UpperCAmelCase__	:       Optional[Any]         =     80
						UpperCAmelCase__	:       Tuple         =     70
						UpperCAmelCase__	:       Optional[Any]         =     60
						UpperCAmelCase__	:       Union[str, Any]         =     50
						UpperCAmelCase__	:       int         =     40
						UpperCAmelCase__	:       Any         =     30
						UpperCAmelCase__	:       str         =     20
						UpperCAmelCase__	:       str         =     10






@unique
class 		UpperCamelCase_		(					A   ):





						"""simple docstring"""




						UpperCAmelCase__	:       Any         =     24
						UpperCAmelCase__	:       Dict         =     21
						UpperCAmelCase__	:       Optional[int]         =     18
						UpperCAmelCase__	:       Optional[Any]         =     15
						UpperCAmelCase__	:       Tuple         =     12
						UpperCAmelCase__	:       List[Any]         =     9
						UpperCAmelCase__	:       Optional[Any]         =     6
						UpperCAmelCase__	:       Union[str, Any]         =     3
						UpperCAmelCase__	:       List[Any]         =     2
						UpperCAmelCase__	:       Tuple         =     1
						UpperCAmelCase__	:       List[str]         =     -1
						UpperCAmelCase__	:       Dict         =     -2
						UpperCAmelCase__	:       Optional[int]         =     -3
						UpperCAmelCase__	:       str         =     -6
						UpperCAmelCase__	:       Union[str, Any]         =     -9
						UpperCAmelCase__	:       Tuple         =     -12
						UpperCAmelCase__	:       Union[str, Any]         =     -15
						UpperCAmelCase__	:       List[str]         =     -18
						UpperCAmelCase__	:       Optional[Any]         =     -21
						UpperCAmelCase__	:       int         =     -24
						@classmethod
						def 					__A					( cls				:					type[T]  )							->					dict:
										return {unit.name: unit.value for unit in cls if unit.value > 0}

						@classmethod
						def 					__A					( cls				:					type[T]  )							->					dict:
										return {unit.name: unit.value for unit in cls if unit.value < 0}





def      __snake_case       (       lowerCamelCase_ :				float						):
				'''simple docstring'''




				__magic_name__	  = SIUnit.get_positive() if value > 0 else SIUnit.get_negative()
				for name_prefix, value_prefix in prefixes.items():
								__magic_name__	  = value / (10**value_prefix)
								if numerical_part > 1:
												return F'{numerical_part!s} {name_prefix}'
				return str(lowerCamelCase_						)




def      __snake_case       (       lowerCamelCase_ :				float						):
				'''simple docstring'''




				for prefix in BinaryUnit:
								__magic_name__	  = value / (2**prefix.value)
								if numerical_part > 1:
												return F'{numerical_part!s} {prefix.name}'
				return str(lowerCamelCase_						)


if __name__ == "__main__":
						import doctest

						doctest.testmod()







'''simple docstring'''
import warnings

from ...utils import logging
from .image_processing_convnext import ConvNextImageProcessor


__magic_name__   :   int  							=logging.get_logger(__name__)






class 		UpperCamelCase_		(					A   ):





						"""simple docstring"""




						def __init__( self				:					List[str]	,				*_lowerCamelCase				:					List[str]	,				**_lowerCamelCase				:					Optional[Any]  )							->					None:
										warnings.warn(
										    "The class ConvNextFeatureExtractor is deprecated and will be removed in version 5 of Transformers."
										    " Please use ConvNextImageProcessor instead."	,				_lowerCamelCase	,				)
										super().__init__(*_lowerCamelCase	,				**_lowerCamelCase  )



