



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


a__    =	logging.get_logger(__name__)

a__    =	{
    """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 		snake_case						(	SCREAMING_SNAKE_CASE_  ):



   '''simple docstring'''






   snake_case_					: Optional[int]          =		"""decision_transformer"""
   snake_case_					: str          =		["""past_key_values"""]
   snake_case_					: int          =		{
       """max_position_embeddings""": """n_positions""",
       """num_attention_heads""": """n_head""",
       """num_hidden_layers""": """n_layer""",
   }

   def __init__(					self							:			List[Any]				,		lowerCAmelCase							:			str=17				,		lowerCAmelCase							:			Union[str, Any]=4				,		lowerCAmelCase							:			List[Any]=128				,		lowerCAmelCase							:			Union[str, Any]=4096				,		lowerCAmelCase							:			Dict=True				,		lowerCAmelCase							:			Dict=1				,		lowerCAmelCase							:			Any=1024				,		lowerCAmelCase							:			Optional[Any]=3				,		lowerCAmelCase							:			Union[str, Any]=1				,		lowerCAmelCase							:			Dict=None				,		lowerCAmelCase							:			Any="relu"				,		lowerCAmelCase							:			List[str]=0.1				,		lowerCAmelCase							:			List[str]=0.1				,		lowerCAmelCase							:			List[Any]=0.1				,		lowerCAmelCase							:			Tuple=1E-5				,		lowerCAmelCase							:			Optional[int]=0.02				,		lowerCAmelCase							:			Optional[int]=True				,		lowerCAmelCase							:			Tuple=True				,		lowerCAmelCase							:			List[Any]=5_0256				,		lowerCAmelCase							:			Optional[Any]=5_0256				,		lowerCAmelCase							:			Union[str, Any]=False				,		lowerCAmelCase							:			int=False				,		**lowerCAmelCase							:			List[str]				,		)				->				Union[str, Any]:

    """simple docstring"""







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

    _snake_case    :  Optional[Any]					=					bos_token_id
    _snake_case    :  List[Any]					=					eos_token_id

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





from __future__ import annotations

from math import pi

# Define the Reduced Planck Constant ℏ (H bar), speed of light C, value of
# Pi and the function
a__    =	1.0_54_57_18_17E-34  # unit of ℏ : J * s

a__    =	3E8  # unit of c : m * s^-1



def       lowercase       (   SCREAMING_SNAKE_CASE__       :	float				,       SCREAMING_SNAKE_CASE__       :	float				,       SCREAMING_SNAKE_CASE__       :	float				)  ->     dict[str, float]:

 if (force, area, distance).count(0				) != 1:
  raise ValueError("""One and only one argument must be 0"""				)
 if force < 0:
  raise ValueError("""Magnitude of force can not be negative"""				)
 if distance < 0:
  raise ValueError("""Distance can not be negative"""				)
 if area < 0:
  raise ValueError("""Area can not be negative"""				)
 if force == 0:
  _snake_case    :  Union[str, Any]					=					(REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2 * area) / (
      240 * (distance) ** 4
  )
  return {"force": force}
 elif area == 0:
  _snake_case    :  Optional[Any]					=					(240 * force * (distance) ** 4) / (
      REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2
  )
  return {"area": area}
 elif distance == 0:
  _snake_case    :  str					=					(
      (REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2 * area) / (240 * force)
  ) ** (1 / 4)
  return {"distance": distance}
 raise ValueError("""One and only one argument must be 0"""				)


# Run doctest
if __name__ == "__main__":
  import doctest

  doctest.testmod()
