


'''simple docstring'''






from ....configuration_utils import PretrainedConfig
from ....utils import logging


__UpperCAmelCase					       =							logging.get_logger(__name__)

__UpperCAmelCase					       =							{
    '''CarlCochet/trajectory-transformer-halfcheetah-medium-v2''': (
        '''https://huggingface.co/CarlCochet/trajectory-transformer-halfcheetah-medium-v2/resolve/main/config.json'''
    ),
    # See all TrajectoryTransformer models at https://huggingface.co/models?filter=trajectory_transformer
}




class 	a__       (							a__						):





							'''simple docstring'''






							lowercase__    :     Optional[Any]					=   "trajectory_transformer"
							lowercase__    :     Optional[int]					=   ["past_key_values"]
							lowercase__    :     Optional[int]					=   {
							    "hidden_size": "n_embd",
							    "num_attention_heads": "n_head",
							    "num_hidden_layers": "n_layer",
							}







							def __init__(	self      ,					lowerCamelCase_=1_00      ,					lowerCamelCase_=5      ,					lowerCamelCase_=1      ,					lowerCamelCase_=1      ,					lowerCamelCase_=2_49      ,					lowerCamelCase_=6      ,					lowerCamelCase_=17      ,					lowerCamelCase_=25      ,					lowerCamelCase_=4      ,					lowerCamelCase_=4      ,					lowerCamelCase_=1_28      ,					lowerCamelCase_=0.1      ,					lowerCamelCase_=0.1      ,					lowerCamelCase_=0.1      ,					lowerCamelCase_=0.0_006      ,					lowerCamelCase_=5_12      ,					lowerCamelCase_=0.02      ,					lowerCamelCase_=1e-12      ,					lowerCamelCase_=1      ,					lowerCamelCase_=True      ,					lowerCamelCase_=1      ,					lowerCamelCase_=5_02_56      ,					lowerCamelCase_=5_02_56      ,					**lowerCamelCase_      ,					) ->							Any:
														lowerCAmelCase__      =			vocab_size
														lowerCAmelCase__      =			action_weight
														lowerCAmelCase__      =			reward_weight
														lowerCAmelCase__      =			value_weight
														lowerCAmelCase__      =			max_position_embeddings
														lowerCAmelCase__      =			block_size
														lowerCAmelCase__      =			action_dim
														lowerCAmelCase__      =			observation_dim
														lowerCAmelCase__      =			transition_dim
														lowerCAmelCase__      =			learning_rate
														lowerCAmelCase__      =			n_layer
														lowerCAmelCase__      =			n_head
														lowerCAmelCase__      =			n_embd
														lowerCAmelCase__      =			embd_pdrop
														lowerCAmelCase__      =			attn_pdrop
														lowerCAmelCase__      =			resid_pdrop
														lowerCAmelCase__      =			initializer_range
														lowerCAmelCase__      =			layer_norm_eps
														lowerCAmelCase__      =			kaiming_initializer_range
														lowerCAmelCase__      =			use_cache
														super().__init__(pad_token_id=lowerCamelCase_      ,					bos_token_id=lowerCamelCase_      ,					eos_token_id=lowerCamelCase_      ,					**lowerCamelCase_     )



'''simple docstring'''






def       _snake_case     (  A				,					A )		->					bool:
							lowerCAmelCase__      =			len(A ) + 1
							lowerCAmelCase__      =			len(A ) + 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.
							lowerCAmelCase__      =			[[0 for i in range(A )] for j in range(A )]

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

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

							# since string of zero length will match with pattern where there
							# is at least one * alternatively
							for j in range(1				,					A ):
														lowerCAmelCase__      =			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				,					A ):
														for j in range(1				,					A ):
																					if input_string[i - 1] == pattern[j - 1] or pattern[j - 1] == ".":
																												lowerCAmelCase__      =			dp[i - 1][j - 1]

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

		__UpperCAmelCase					       =							'''aab'''
		__UpperCAmelCase					       =							'''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}""")