





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


SCREAMING_SNAKE_CASE_   :      Tuple			=   logging.get_logger(__name__)

SCREAMING_SNAKE_CASE_   :      Union[str, Any]			=   {
    '''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 		snake_case_   (							UpperCAmelCase_						):







	'''simple docstring'''
	__UpperCamelCase   =		'''deit'''




	def __init__(						self							:     str					,      __lowerCamelCase							:     Tuple=768					,      __lowerCamelCase							:     List[Any]=12					,      __lowerCamelCase							:     Any=12					,      __lowerCamelCase							:     int=3_072					,      __lowerCamelCase							:     List[Any]="gelu"					,      __lowerCamelCase							:     Tuple=0.0					,      __lowerCamelCase							:     List[str]=0.0					,      __lowerCamelCase							:     List[str]=0.02					,      __lowerCamelCase							:     List[Any]=1E-1_2					,      __lowerCamelCase							:     int=224					,      __lowerCamelCase							:     int=16					,      __lowerCamelCase							:     Optional[int]=3					,      __lowerCamelCase							:     List[Any]=True					,      __lowerCamelCase							:     Dict=16					,      **__lowerCamelCase							:     Optional[Any]					,      )       -> Tuple:

			'''simple docstring'''




			super().__init__(**__lowerCamelCase   )

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





class 		snake_case_   (							UpperCAmelCase_						):







	'''simple docstring'''
	__UpperCamelCase   =		version.parse('''1.11'''						)




	@property
	def    UpperCAmelCase			(						self							:     Dict   )       -> Mapping[str, Mapping[int, str]]:

			'''simple docstring'''




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






	@property
	def    UpperCAmelCase			(						self							:     Union[str, Any]   )       -> float:

			'''simple docstring'''




			return 1E-4











def  SCREAMING_SNAKE_CASE				(      snake_case						,   snake_case							)		->    bool:
		__lowercase											=     len(snake_case							) + 1
		__lowercase											=     len(snake_case							) + 1

		# dp is a 2d matrix where dp[i][j] denotes whether prefix string of
		# length i of input_string matches with prefix string of length j of
		# given pattern.
		# "dp" stands for dynamic programming.
		__lowercase											=     [[0 for i in range(snake_case							)] for j in range(snake_case							)]

		# since string of zero length match pattern of zero length
		__lowercase											=     1

		# since pattern of zero length will never match with string of non-zero length
		for i in range(1						,   snake_case							):
				__lowercase											=     0

		# since string of zero length will match with pattern where there
		# is at least one * alternatively
		for j in range(1						,   snake_case							):
				__lowercase											=     dp[0][j - 2] if pattern[j - 1] == '*' else 0

		# now using bottom-up approach to find for all remaining lengths
		for i in range(1						,   snake_case							):
				for j in range(1						,   snake_case							):
						if input_string[i - 1] == pattern[j - 1] or pattern[j - 1] == ".":
								__lowercase											=     dp[i - 1][j - 1]

						elif pattern[j - 1] == "*":
								if dp[i][j - 2] == 1:
										__lowercase											=     1
								elif pattern[j - 2] in (input_string[i - 1], "."):
										__lowercase											=     dp[i - 1][j]
								else:
										__lowercase											=     0
						else:
								__lowercase											=     0

		return bool(dp[-1][-1]							)


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		# inputing the strings
		# input_string = input("input a string :")
		# pattern = input("input a pattern :")

		SCREAMING_SNAKE_CASE_   :      Any			=   '''aab'''
		SCREAMING_SNAKE_CASE_   :      str			=   '''c*a*b'''

		# using function to check whether given string matches the given pattern
		if match_pattern(input_string, pattern):
				print(F"""{input_string} matches the given pattern {pattern}""")
		else:
				print(F"""{input_string} does not match with the given pattern {pattern}""")




