






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


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

_a    :   str        =			{
    """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"""



      A          =    '''decision_transformer'''
      A          =    ['''past_key_values''']
      A          =    {
          '''max_position_embeddings''': '''n_positions''',
          '''num_attention_heads''': '''n_head''',
          '''num_hidden_layers''': '''n_layer''',
      }
      def __init__(   self    ,	_lowerCAmelCase=17    ,	_lowerCAmelCase=4    ,	_lowerCAmelCase=128    ,	_lowerCAmelCase=4_096    ,	_lowerCAmelCase=True    ,	_lowerCAmelCase=1    ,	_lowerCAmelCase=1_024    ,	_lowerCAmelCase=3    ,	_lowerCAmelCase=1    ,	_lowerCAmelCase=None    ,	_lowerCAmelCase="relu"    ,	_lowerCAmelCase=0.1    ,	_lowerCAmelCase=0.1    ,	_lowerCAmelCase=0.1    ,	_lowerCAmelCase=1e-5    ,	_lowerCAmelCase=0.02    ,	_lowerCAmelCase=True    ,	_lowerCAmelCase=True    ,	_lowerCAmelCase=50_256    ,	_lowerCAmelCase=50_256    ,	_lowerCAmelCase=False    ,	_lowerCAmelCase=False    ,	**_lowerCAmelCase    ,	):



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

          lowerCAmelCase__   :Tuple      							=				bos_token_id
          lowerCAmelCase__   :Dict      							=				eos_token_id

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











def 				snake_case__							(							UpperCAmelCase							:  float       ):

    if edge <= 0 or not isinstance(UpperCAmelCase    ,			UpperCAmelCase       ):
        raise ValueError("Length must be a positive."       )
    return 3 * ((2_5 + 1_0 * (5 ** (1 / 2))) ** (1 / 2)) * (edge**2)


def 				snake_case__							(							UpperCAmelCase							:  float       ):

    if edge <= 0 or not isinstance(UpperCAmelCase    ,			UpperCAmelCase       ):
        raise ValueError("Length must be a positive."       )
    return ((1_5 + (7 * (5 ** (1 / 2)))) / 4) * (edge**3)


if __name__ == "__main__":
 import doctest

 doctest.testmod()



