"""simple docstring"""


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


__UpperCamelCase									=			logging.get_logger(__name__)

__UpperCamelCase									=			{
    '''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					(				lowerCAmelCase__   ):
       SCREAMING_SNAKE_CASE_			=      "deit"







       def __init__( self,							lowerCAmelCase__=768,							lowerCAmelCase__=12,							lowerCAmelCase__=12,							lowerCAmelCase__=3072,							lowerCAmelCase__="gelu",							lowerCAmelCase__=0.0,							lowerCAmelCase__=0.0,							lowerCAmelCase__=0.02,							lowerCAmelCase__=1e-12,							lowerCAmelCase__=224,							lowerCAmelCase__=16,							lowerCAmelCase__=3,							lowerCAmelCase__=True,							lowerCAmelCase__=16,							**lowerCAmelCase__,							)      ->      List[Any]:
            super().__init__(**lowerCAmelCase__)

            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					(				lowerCAmelCase__   ):
       SCREAMING_SNAKE_CASE_			=      version.parse("1.11"   )







       @property
       def 		a_						( self)      ->      Mapping[str, Mapping[int, str]]:
            return OrderedDict(
                [
                    ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
                ])







       @property
       def 		a_						( self)      ->      float:
            return 1e-4


def       A	(    _lowercase		,  _lowercase						):
						SCREAMING_SNAKE_CASE							:    Union[str, Any]							=							len(_lowercase						)
						SCREAMING_SNAKE_CASE							:    Any							=							len(_lowercase						)
						SCREAMING_SNAKE_CASE							:    Optional[int]							=							[[False for _ in range(m + 1						)] for _ in range(n + 1						)]
						SCREAMING_SNAKE_CASE							:    Union[str, Any]							=							True
						for i in range(_lowercase						):
												for j in range(m + 1						):
																		if dp[i][j]:
																								if j < m and a[i].upper() == b[j]:
																														SCREAMING_SNAKE_CASE							:    List[str]							=							True
																								if a[i].islower():
																														SCREAMING_SNAKE_CASE							:    Dict							=							True
						return dp[n][m]


if __name__ == "__main__":
					import doctest

					doctest.testmod()





