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


_snake_case      = logging.get_logger(__name__)

_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       _lowerCAmelCase  (		__magic_name__							):

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

 def __init__(						self			:			str					, SCREAMING_SNAKE_CASE__			:			Tuple=17					, SCREAMING_SNAKE_CASE__			:			Any=4					, SCREAMING_SNAKE_CASE__			:			Tuple=1_28					, SCREAMING_SNAKE_CASE__			:			Union[str, Any]=40_96					, SCREAMING_SNAKE_CASE__			:			str=True					, SCREAMING_SNAKE_CASE__			:			List[Any]=1					, SCREAMING_SNAKE_CASE__			:			List[str]=10_24					, SCREAMING_SNAKE_CASE__			:			Union[str, Any]=3					, SCREAMING_SNAKE_CASE__			:			Tuple=1					, SCREAMING_SNAKE_CASE__			:			List[str]=None					, SCREAMING_SNAKE_CASE__			:			Any="relu"					, SCREAMING_SNAKE_CASE__			:			List[Any]=0.1					, SCREAMING_SNAKE_CASE__			:			List[str]=0.1					, SCREAMING_SNAKE_CASE__			:			str=0.1					, SCREAMING_SNAKE_CASE__			:			Tuple=1e-5					, SCREAMING_SNAKE_CASE__			:			Optional[int]=0.02					, SCREAMING_SNAKE_CASE__			:			Optional[int]=True					, SCREAMING_SNAKE_CASE__			:			List[Any]=True					, SCREAMING_SNAKE_CASE__			:			Any=5_02_56					, SCREAMING_SNAKE_CASE__			:			Optional[int]=5_02_56					, SCREAMING_SNAKE_CASE__			:			Union[str, Any]=False					, SCREAMING_SNAKE_CASE__			:			Optional[Any]=False					, **SCREAMING_SNAKE_CASE__			:			int					, ):






      """simple docstring"""



      UpperCamelCase						    =					state_dim
      UpperCamelCase						    =					act_dim
      UpperCamelCase						    =					hidden_size
      UpperCamelCase						    =					max_ep_len
      UpperCamelCase						    =					action_tanh
      UpperCamelCase						    =					vocab_size
      UpperCamelCase						    =					n_positions
      UpperCamelCase						    =					n_layer
      UpperCamelCase						    =					n_head
      UpperCamelCase						    =					n_inner
      UpperCamelCase						    =					activation_function
      UpperCamelCase						    =					resid_pdrop
      UpperCamelCase						    =					embd_pdrop
      UpperCamelCase						    =					attn_pdrop
      UpperCamelCase						    =					layer_norm_epsilon
      UpperCamelCase						    =					initializer_range
      UpperCamelCase						    =					scale_attn_weights
      UpperCamelCase						    =					use_cache
      UpperCamelCase						    =					scale_attn_by_inverse_layer_idx
      UpperCamelCase						    =					reorder_and_upcast_attn

      UpperCamelCase						    =					bos_token_id
      UpperCamelCase						    =					eos_token_id

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




def  __lowerCamelCase					( _lowercase = 50000000			)       ->      int:
     UpperCamelCase						    =					set()
     UpperCamelCase						    =					int((limit - 24) ** (1 / 2)			)

     UpperCamelCase						    =					set(range(3						,     prime_square_limit + 1						,     2			)			)
     primes.add(2			)
     for p in range(3						,     prime_square_limit + 1						,     2			):
          if p not in primes:
               continue
          primes.difference_update(set(range(p * p						,     prime_square_limit + 1						,     _lowercase			)			)			)

     for primea in primes:
          UpperCamelCase						    =					primea * primea
          for primea in primes:
               UpperCamelCase						    =					primea * primea * primea
               if square + cube >= limit - 16:
                    break
               for primea in primes:
                    UpperCamelCase						    =					primea * primea * primea * primea
                    UpperCamelCase						    =					square + cube + tetr
                    if total >= limit:
                         break
                    ret.add(_lowercase			)

     return len(_lowercase			)


if __name__ == "__main__":
 print(F"{solution() = }")


