

"""simple docstring"""


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


a					: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      __a							(UpperCamelCase_):






     '''simple docstring'''
     _SCREAMING_SNAKE_CASE						:List[Any]       = """decision_transformer"""
     _SCREAMING_SNAKE_CASE						:List[str]       = ["""past_key_values"""]
     _SCREAMING_SNAKE_CASE						:str       = {
         """max_position_embeddings""": """n_positions""",
         """num_attention_heads""": """n_head""",
         """num_hidden_layers""": """n_layer""",
     }

     def __init__(						self	,    _a=17	,    _a=4	,    _a=128	,    _a=4_096	,    _a=True	,    _a=1	,    _a=1_024	,    _a=3	,    _a=1	,    _a=None	,    _a="relu"	,    _a=0.1	,    _a=0.1	,    _a=0.1	,    _a=1E-5	,    _a=0.02	,    _a=True	,    _a=True	,    _a=50_256	,    _a=50_256	,    _a=False	,    _a=False	,    **_a	,    )  ->      List[str]:


           """simple docstring"""


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

           SCREAMING_SNAKE_CASE__   :      Tuple      		=	bos_token_id
           SCREAMING_SNAKE_CASE__   :      Dict      		=	eos_token_id

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







"""simple docstring"""


a					:List[str]    = [
    (1_000, "M"),
    (900, "CM"),
    (500, "D"),
    (400, "CD"),
    (100, "C"),
    (90, "XC"),
    (50, "L"),
    (40, "XL"),
    (10, "X"),
    (9, "IX"),
    (5, "V"),
    (4, "IV"),
    (1, "I"),
]




def  _lowercase					(    __lowerCAmelCase							)       ->				int:
      SCREAMING_SNAKE_CASE__   :      Optional[Any]      		=	{"""I""": 1, """V""": 5, """X""": 10, """L""": 50, """C""": 100, """D""": 500, """M""": 1000}
      SCREAMING_SNAKE_CASE__   :      List[Any]      		=	0
      SCREAMING_SNAKE_CASE__   :      List[str]      		=	0
      while place < len(__lowerCAmelCase							):
            if (place + 1 < len(__lowerCAmelCase							)) and (vals[roman[place]] < vals[roman[place + 1]]):
                  total += vals[roman[place + 1]] - vals[roman[place]]
                  place += 2
            else:
                  total += vals[roman[place]]
                  place += 1
      return total




def  _lowercase					(    __lowerCAmelCase							)       ->				str:
      SCREAMING_SNAKE_CASE__   :      Any      		=	[]
      for arabic, roman in ROMAN:
            ((SCREAMING_SNAKE_CASE__)		,		(SCREAMING_SNAKE_CASE__))   :      List[str]      		=	divmod(__lowerCAmelCase  ,					__lowerCAmelCase							)
            result.append(roman * factor							)
            if number == 0:
                  break
      return "".join(__lowerCAmelCase							)


if __name__ == "__main__":
  import doctest

  doctest.testmod()




