

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


_a:     int							=      logging.get_logger(__name__)

_a:     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     (       SCREAMING_SNAKE_CASE__    ):
	SCREAMING_SNAKE_CASE__     					=  '''trajectory_transformer'''
	SCREAMING_SNAKE_CASE__     					=  ['''past_key_values''']
	SCREAMING_SNAKE_CASE__     					=  {
	    '''hidden_size''': '''n_embd''',
	    '''num_attention_heads''': '''n_head''',
	    '''num_hidden_layers''': '''n_layer''',
	}




	def __init__(		self						:    Dict		,						lowerCAmelCase						:    int=100		,						lowerCAmelCase						:    str=5		,						lowerCAmelCase						:    Dict=1		,						lowerCAmelCase						:    int=1		,						lowerCAmelCase						:    Any=249		,						lowerCAmelCase						:    str=6		,						lowerCAmelCase						:    int=17		,						lowerCAmelCase						:    Any=25		,						lowerCAmelCase						:    str=4		,						lowerCAmelCase						:    int=4		,						lowerCAmelCase						:    str=128		,						lowerCAmelCase						:    Any=0.1		,						lowerCAmelCase						:    Union[str, Any]=0.1		,						lowerCAmelCase						:    List[Any]=0.1		,						lowerCAmelCase						:    List[str]=0.0_006		,						lowerCAmelCase						:    Tuple=512		,						lowerCAmelCase						:    int=0.02		,						lowerCAmelCase						:    Optional[Any]=1e-12		,						lowerCAmelCase						:    int=1		,						lowerCAmelCase						:    str=True		,						lowerCAmelCase						:    int=1		,						lowerCAmelCase						:    str=50_256		,						lowerCAmelCase						:    Optional[int]=50_256		,						**lowerCAmelCase						:    Optional[int]		,						):


		'''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=__lowerCAmelCase		,						bos_token_id=__lowerCAmelCase		,						eos_token_id=__lowerCAmelCase		,						**__lowerCAmelCase				)







'''simple docstring'''

from abc import ABC, abstractmethod
from argparse import ArgumentParser




class      A     (   SCREAMING_SNAKE_CASE__    ):






 """simple docstring"""





 @staticmethod
 @abstractmethod
 def 	_UpperCAmelCase							(				__lowerCAmelCase			):
       raise NotImplementedError()





 @abstractmethod
 def 	_UpperCAmelCase							(				self			):
       raise NotImplementedError()






