

'''simple docstring'''







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


__lowerCamelCase						    =      logging.get_logger(__name__)

__lowerCamelCase						    =      {
    '''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__ ( _snake_case     ):
    lowercase		   =						"decision_transformer"
    lowercase		   =						["past_key_values"]
    lowercase		   =						{
        "max_position_embeddings": "n_positions",
        "num_attention_heads": "n_head",
        "num_hidden_layers": "n_layer",
    }



    def __init__(   self						,			UpperCamelCase__=17						,			UpperCamelCase__=4						,			UpperCamelCase__=128						,			UpperCamelCase__=4096						,			UpperCamelCase__=True						,			UpperCamelCase__=1						,			UpperCamelCase__=1024						,			UpperCamelCase__=3						,			UpperCamelCase__=1						,			UpperCamelCase__=None						,			UpperCamelCase__="relu"						,			UpperCamelCase__=0.1						,			UpperCamelCase__=0.1						,			UpperCamelCase__=0.1						,			UpperCamelCase__=1e-5						,			UpperCamelCase__=0.02						,			UpperCamelCase__=True						,			UpperCamelCase__=True						,			UpperCamelCase__=50256						,			UpperCamelCase__=50256						,			UpperCamelCase__=False						,			UpperCamelCase__=False						,			**UpperCamelCase__						,			)  -> str:





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

           A_		   = bos_token_id
           A_		   = eos_token_id

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



'''simple docstring'''







from __future__ import annotations

from typing import Any
def  UpperCAmelCase__      ( UpperCAmelCase__			)     ->     int:
       if not postfix_notation:
              return 0

       A_		   = {"""+""", """-""", """*""", """/"""}
       A_		   = []

       for token in postfix_notation:
              if token in operations:
                     A_   ,     A_		   = stack.pop(), stack.pop()
                     if token == "+":
                            stack.append(a + b			)
                     elif token == "-":
                            stack.append(a - b			)
                     elif token == "*":
                            stack.append(a * b			)
                     else:
                            if a * b < 0 and a % b != 0:
                                   stack.append(a // b + 1			)
                            else:
                                   stack.append(a // b			)
              else:
                     stack.append(int(UpperCAmelCase__			)			)

       return stack.pop()


if __name__ == "__main__":
      import doctest

      doctest.testmod()
