


from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


A				:       int      =  logging.get_logger(__name__)

A				:       Optional[int]      =  {
    'facebook/deit-base-distilled-patch16-224': (
        'https://huggingface.co/facebook/deit-base-patch16-224/resolve/main/config.json'
    ),
    # See all DeiT models at https://huggingface.co/models?filter=deit
}






class      UpperCamelCase(	_a ):
					snake_case_		:					Dict    					=						"""deit"""


					def __init__(    self						:		int  ,     SCREAMING_SNAKE_CASE						:		List[str]=7_6_8  ,     SCREAMING_SNAKE_CASE						:		Dict=1_2  ,     SCREAMING_SNAKE_CASE						:		str=1_2  ,     SCREAMING_SNAKE_CASE						:		int=3_0_7_2  ,     SCREAMING_SNAKE_CASE						:		Optional[Any]="gelu"  ,     SCREAMING_SNAKE_CASE						:		List[str]=0.0  ,     SCREAMING_SNAKE_CASE						:		Union[str, Any]=0.0  ,     SCREAMING_SNAKE_CASE						:		Optional[Any]=0.02  ,     SCREAMING_SNAKE_CASE						:		int=1e-1_2  ,     SCREAMING_SNAKE_CASE						:		List[str]=2_2_4  ,     SCREAMING_SNAKE_CASE						:		Dict=1_6  ,     SCREAMING_SNAKE_CASE						:		List[Any]=3  ,     SCREAMING_SNAKE_CASE						:		List[Any]=True  ,     SCREAMING_SNAKE_CASE						:		int=1_6  ,     **SCREAMING_SNAKE_CASE						:		str  ,     )      ->						int:




											'''simple docstring'''

											super().__init__(**SCREAMING_SNAKE_CASE    )

											__snake_case				=		hidden_size
											__snake_case				=		num_hidden_layers
											__snake_case				=		num_attention_heads
											__snake_case				=		intermediate_size
											__snake_case				=		hidden_act
											__snake_case				=		hidden_dropout_prob
											__snake_case				=		attention_probs_dropout_prob
											__snake_case				=		initializer_range
											__snake_case				=		layer_norm_eps
											__snake_case				=		image_size
											__snake_case				=		patch_size
											__snake_case				=		num_channels
											__snake_case				=		qkv_bias
											__snake_case				=		encoder_stride






class      UpperCamelCase(	_a ):
					snake_case_		:					Union[str, Any]    					=						version.parse("""1.11""" )


					@property
					def 				SCREAMING_SNAKE_CASE_	(    self						:		List[str]    )      ->						Mapping[str, Mapping[int, str]]:




											'''simple docstring'''

											return OrderedDict(
											    [
											        ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
											    ]    )






					@property
					def 				SCREAMING_SNAKE_CASE_	(    self						:		List[str]    )      ->						float:




											'''simple docstring'''

											return 1e-4









import baseaa





def 						_lowerCAmelCase							(     _lowerCAmelCase			)    ->						bytes:


						'''simple docstring'''






						return baseaa.baaencode(string.encode("utf-8"			)			)





def 						_lowerCAmelCase							(     _lowerCAmelCase			)    ->						str:


						'''simple docstring'''






						return baseaa.baadecode(_lowerCAmelCase			).decode("utf-8"			)


if __name__ == "__main__":
	A				:       Dict      =  'Hello World!'
	A				:       Any      =  baseaa_encode(test)
	print(encoded)

	A				:       Optional[int]      =  baseaa_decode(encoded)
	print(decoded)





