
'''simple docstring'''







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


_lowercase :  List[Any]    							=       logging.get_logger(__name__)

_lowercase :  Tuple    							=       {
    '''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__   (  lowerCamelCase_     ):
					lowerCAmelCase_        =     '''trajectory_transformer'''
					lowerCAmelCase_        =     ['''past_key_values''']
					lowerCAmelCase_        =     {
					    '''hidden_size''': '''n_embd''',
					    '''num_attention_heads''': '''n_head''',
					    '''num_hidden_layers''': '''n_layer''',
					}






					def __init__(   self				,							__SCREAMING_SNAKE_CASE=1_00				,							__SCREAMING_SNAKE_CASE=5				,							__SCREAMING_SNAKE_CASE=1				,							__SCREAMING_SNAKE_CASE=1				,							__SCREAMING_SNAKE_CASE=2_49				,							__SCREAMING_SNAKE_CASE=6				,							__SCREAMING_SNAKE_CASE=17				,							__SCREAMING_SNAKE_CASE=25				,							__SCREAMING_SNAKE_CASE=4				,							__SCREAMING_SNAKE_CASE=4				,							__SCREAMING_SNAKE_CASE=1_28				,							__SCREAMING_SNAKE_CASE=0.1				,							__SCREAMING_SNAKE_CASE=0.1				,							__SCREAMING_SNAKE_CASE=0.1				,							__SCREAMING_SNAKE_CASE=0.0_006				,							__SCREAMING_SNAKE_CASE=5_12				,							__SCREAMING_SNAKE_CASE=0.02				,							__SCREAMING_SNAKE_CASE=1E-1_2				,							__SCREAMING_SNAKE_CASE=1				,							__SCREAMING_SNAKE_CASE=True				,							__SCREAMING_SNAKE_CASE=1				,							__SCREAMING_SNAKE_CASE=5_02_56				,							__SCREAMING_SNAKE_CASE=5_02_56				,							**__SCREAMING_SNAKE_CASE				,							):


											"""simple docstring"""





											lowercase_	:     str													=       vocab_size
											lowercase_	:     Any													=       action_weight
											lowercase_	:     str													=       reward_weight
											lowercase_	:     Union[str, Any]													=       value_weight
											lowercase_	:     List[Any]													=       max_position_embeddings
											lowercase_	:     Optional[int]													=       block_size
											lowercase_	:     int													=       action_dim
											lowercase_	:     List[str]													=       observation_dim
											lowercase_	:     Union[str, Any]													=       transition_dim
											lowercase_	:     Union[str, Any]													=       learning_rate
											lowercase_	:     Optional[int]													=       n_layer
											lowercase_	:     Optional[Any]													=       n_head
											lowercase_	:     List[Any]													=       n_embd
											lowercase_	:     List[str]													=       embd_pdrop
											lowercase_	:     str													=       attn_pdrop
											lowercase_	:     Optional[Any]													=       resid_pdrop
											lowercase_	:     List[Any]													=       initializer_range
											lowercase_	:     Dict													=       layer_norm_eps
											lowercase_	:     Optional[int]													=       kaiming_initializer_range
											lowercase_	:     str													=       use_cache
											super().__init__(pad_token_id=__snake_case				,							bos_token_id=__snake_case				,							eos_token_id=__snake_case				,							**__snake_case		)







from abc import ABC, abstractmethod
from argparse import ArgumentParser







class        snake_case_   (lowerCamelCase_      ):
					@staticmethod
					@abstractmethod
					def  lowerCamelCase__(      __snake_case   :ArgumentParser      )					->    Dict:
												raise NotImplementedError()



					@abstractmethod
					def  lowerCamelCase__(      self   :Union[str, Any]      )					->    Dict:
												raise NotImplementedError()




