






'''simple docstring'''



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


SCREAMING_SNAKE_CASE							=						logging.get_logger(__name__)

SCREAMING_SNAKE_CASE							=						{
    'edbeeching/decision-transformer-gym-hopper-medium': (
        'https://huggingface.co/edbeeching/decision-transformer-gym-hopper-medium/resolve/main/config.json'
    ),
    # See all DecisionTransformer models at https://huggingface.co/models?filter=decision_transformer
}
class UpperCAmelCase_       (     __A					):




      """simple docstring"""




      UpperCamelCase_             =      '''decision_transformer'''
      UpperCamelCase_             =      ['''past_key_values''']
      UpperCamelCase_             =      {
          '''max_position_embeddings''': '''n_positions''',
          '''num_attention_heads''': '''n_head''',
          '''num_hidden_layers''': '''n_layer''',
      }






      def __init__(			self      :		Tuple  ,   UpperCAmelCase      :		Optional[Any]=17  ,   UpperCAmelCase      :		Optional[Any]=4  ,   UpperCAmelCase      :		Tuple=128  ,   UpperCAmelCase      :		Optional[int]=4096  ,   UpperCAmelCase      :		Optional[Any]=True  ,   UpperCAmelCase      :		Dict=1  ,   UpperCAmelCase      :		Optional[Any]=1024  ,   UpperCAmelCase      :		Optional[int]=3  ,   UpperCAmelCase      :		List[str]=1  ,   UpperCAmelCase      :		List[str]=None  ,   UpperCAmelCase      :		Union[str, Any]="relu"  ,   UpperCAmelCase      :		int=0.1  ,   UpperCAmelCase      :		Any=0.1  ,   UpperCAmelCase      :		int=0.1  ,   UpperCAmelCase      :		Tuple=1e-5  ,   UpperCAmelCase      :		Any=0.0_2  ,   UpperCAmelCase      :		Union[str, Any]=True  ,   UpperCAmelCase      :		Union[str, Any]=True  ,   UpperCAmelCase      :		List[str]=5_0256  ,   UpperCAmelCase      :		List[str]=5_0256  ,   UpperCAmelCase      :		Tuple=False  ,   UpperCAmelCase      :		str=False  ,   **UpperCAmelCase      :		Union[str, Any]  ,   )	->	int:


       '''simple docstring'''

       lowercase       : int						=state_dim
       lowercase       : Union[str, Any]						=act_dim
       lowercase       : Optional[int]						=hidden_size
       lowercase       : str						=max_ep_len
       lowercase       : Any						=action_tanh
       lowercase       : List[str]						=vocab_size
       lowercase       : Dict						=n_positions
       lowercase       : Optional[int]						=n_layer
       lowercase       : Tuple						=n_head
       lowercase       : Dict						=n_inner
       lowercase       : str						=activation_function
       lowercase       : List[Any]						=resid_pdrop
       lowercase       : List[Any]						=embd_pdrop
       lowercase       : Dict						=attn_pdrop
       lowercase       : Optional[int]						=layer_norm_epsilon
       lowercase       : List[Any]						=initializer_range
       lowercase       : List[str]						=scale_attn_weights
       lowercase       : List[Any]						=use_cache
       lowercase       : Any						=scale_attn_by_inverse_layer_idx
       lowercase       : str						=reorder_and_upcast_attn

       lowercase       : List[str]						=bos_token_id
       lowercase       : Optional[int]						=eos_token_id

       super().__init__(bos_token_id=UpperCAmelCase  ,   eos_token_id=UpperCAmelCase  ,   **UpperCAmelCase		)









'''simple docstring'''



def   lowercase__(			__UpperCamelCase:					int    ):

      """simple docstring"""






      if not isinstance(__UpperCamelCase      ,__UpperCamelCase    ):
            raise TypeError('Input value must be an \'int\' type'    )

      SCREAMING_SNAKE_CASE   :      int    					=						0
      while number:
            position += 1
            number >>= 1

      return position


if __name__ == "__main__":
      import doctest

      doctest.testmod()


