





import re




def    A_(			A   ):
	return [char.split() for char in re.split(R"""[^ a-z A-Z 0-9 \s]"""				,      str_   )]




def    A_(			A   ):
	UpperCAmelCase_								=     split_input(str_   )
	return "".join(
	    ["""""".join([char.capitalize() for char in sub_str]   ) for sub_str in string_split]   )




def    A_(			A				,      A				,      A   ):


	try:
		UpperCAmelCase_								=     split_input(lowerCAmelCase_   )
		if upper:
			UpperCAmelCase_								=     "".join(
			    [
			        separator.join([char.upper() for char in sub_str]   )
			        for sub_str in string_split
			    ]   )
		else:
			UpperCAmelCase_								=     "".join(
			    [
			        separator.join([char.lower() for char in sub_str]   )
			        for sub_str in string_split
			    ]   )
		return res_str
	except IndexError:
		return "not valid string"




def    A_(			A   ):
	return to_simple_case(lowerCAmelCase_   )




def    A_(			A   ):


	try:
		UpperCAmelCase_								=     to_simple_case(lowerCAmelCase_   )
		return res_str[0].lower() + res_str[1:]
	except IndexError:
		return "not valid string"




def    A_(			A				,      A   ):
	return to_complex_case(lowerCAmelCase_				,      lowerCAmelCase_				,      """_"""   )




def    A_(			A				,      A   ):
	return to_complex_case(lowerCAmelCase_				,      lowerCAmelCase_				,      """-"""   )


if __name__ == "__main__":
				__import__("""doctest""").testmod()









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


UpperCamelCase__   : Any					  = logging.get_logger(__name__)

UpperCamelCase__   : int					  = {
    """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   _UpperCamelCase  (       A_  ):







					'''simple docstring'''

					lowerCamelCase     :     Tuple			    =       'trajectory_transformer'
					lowerCamelCase     :     Optional[Any]			    =       ['past_key_values']
					lowerCamelCase     :     Tuple			    =       {
					    'hidden_size': 'n_embd',
					    'num_attention_heads': 'n_head',
					    'num_hidden_layers': 'n_layer',
					}





					def __init__(						self    :  Union[str, Any] ,					__lowercase    :  Optional[Any]=1_00 ,					__lowercase    :  int=5 ,					__lowercase    :  str=1 ,					__lowercase    :  Union[str, Any]=1 ,					__lowercase    :  Optional[Any]=2_49 ,					__lowercase    :  Tuple=6 ,					__lowercase    :  Tuple=17 ,					__lowercase    :  List[str]=25 ,					__lowercase    :  Tuple=4 ,					__lowercase    :  Dict=4 ,					__lowercase    :  int=1_28 ,					__lowercase    :  List[str]=0.1 ,					__lowercase    :  Optional[Any]=0.1 ,					__lowercase    :  Union[str, Any]=0.1 ,					__lowercase    :  Tuple=0.0006 ,					__lowercase    :  Optional[int]=5_12 ,					__lowercase    :  Any=0.02 ,					__lowercase    :  Tuple=1e-12 ,					__lowercase    :  Optional[Any]=1 ,					__lowercase    :  Dict=True ,					__lowercase    :  Optional[Any]=1 ,					__lowercase    :  str=5_02_56 ,					__lowercase    :  Any=5_02_56 ,					**__lowercase    :  str ,					):






						'''simple docstring'''







						UpperCAmelCase_								=     vocab_size
						UpperCAmelCase_								=     action_weight
						UpperCAmelCase_								=     reward_weight
						UpperCAmelCase_								=     value_weight
						UpperCAmelCase_								=     max_position_embeddings
						UpperCAmelCase_								=     block_size
						UpperCAmelCase_								=     action_dim
						UpperCAmelCase_								=     observation_dim
						UpperCAmelCase_								=     transition_dim
						UpperCAmelCase_								=     learning_rate
						UpperCAmelCase_								=     n_layer
						UpperCAmelCase_								=     n_head
						UpperCAmelCase_								=     n_embd
						UpperCAmelCase_								=     embd_pdrop
						UpperCAmelCase_								=     attn_pdrop
						UpperCAmelCase_								=     resid_pdrop
						UpperCAmelCase_								=     initializer_range
						UpperCAmelCase_								=     layer_norm_eps
						UpperCAmelCase_								=     kaiming_initializer_range
						UpperCAmelCase_								=     use_cache
						super().__init__(pad_token_id=__lowercase ,					bos_token_id=__lowercase ,					eos_token_id=__lowercase ,					**__lowercase		)


