






"""simple docstring"""

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


lowercase__          = logging.get_logger(__name__)

lowercase__          = {
    '''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 		__lowerCamelCase				( a__			):





		'''simple docstring'''






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





		def __init__(   self							:	Optional[Any]						,			a_							:	Dict=1_00						,			a_							:	Tuple=5						,			a_							:	Optional[Any]=1						,			a_							:	Optional[int]=1						,			a_							:	List[str]=2_49						,			a_							:	Optional[int]=6						,			a_							:	Union[str, Any]=17						,			a_							:	str=25						,			a_							:	Optional[Any]=4						,			a_							:	int=4						,			a_							:	Dict=1_28						,			a_							:	Tuple=0.1						,			a_							:	Dict=0.1						,			a_							:	str=0.1						,			a_							:	int=0.0006						,			a_							:	List[str]=5_12						,			a_							:	List[str]=0.02						,			a_							:	Optional[Any]=1e-1_2						,			a_							:	Dict=1						,			a_							:	Tuple=True						,			a_							:	Union[str, Any]=1						,			a_							:	str=5_02_56						,			a_							:	Any=5_02_56						,			**a_							:	int						,			):
				lowerCAmelCase_   :							str									=			vocab_size
				lowerCAmelCase_   :							List[str]									=			action_weight
				lowerCAmelCase_   :							int									=			reward_weight
				lowerCAmelCase_   :							Dict									=			value_weight
				lowerCAmelCase_   :							List[Any]									=			max_position_embeddings
				lowerCAmelCase_   :							Any									=			block_size
				lowerCAmelCase_   :							int									=			action_dim
				lowerCAmelCase_   :							Union[str, Any]									=			observation_dim
				lowerCAmelCase_   :							List[str]									=			transition_dim
				lowerCAmelCase_   :							Optional[Any]									=			learning_rate
				lowerCAmelCase_   :							Tuple									=			n_layer
				lowerCAmelCase_   :							Dict									=			n_head
				lowerCAmelCase_   :							Optional[Any]									=			n_embd
				lowerCAmelCase_   :							Optional[int]									=			embd_pdrop
				lowerCAmelCase_   :							Optional[Any]									=			attn_pdrop
				lowerCAmelCase_   :							Union[str, Any]									=			resid_pdrop
				lowerCAmelCase_   :							List[str]									=			initializer_range
				lowerCAmelCase_   :							Tuple									=			layer_norm_eps
				lowerCAmelCase_   :							Union[str, Any]									=			kaiming_initializer_range
				lowerCAmelCase_   :							int									=			use_cache
				super().__init__(pad_token_id=lowerCAmelCase__						,			bos_token_id=lowerCAmelCase__						,			eos_token_id=lowerCAmelCase__						,			**lowerCAmelCase__	)







"""simple docstring"""




def       _SCREAMING_SNAKE_CASE		(	_lowercase						:    float    ,       _lowercase						:    float					) ->float:






	'''simple docstring'''






	return price * (1 + tax_rate)


if __name__ == "__main__":
		print(F'''{price_plus_tax(100, 0.25) = }''')
		print(F'''{price_plus_tax(125.50, 0.05) = }''')


