






"""simple docstring"""







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


_UpperCamelCase					      =  logging.get_logger(__name__)

_UpperCamelCase					      =  {
    """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__ (	snake_case			):
    SCREAMING_SNAKE_CASE		=      '''decision_transformer'''
    SCREAMING_SNAKE_CASE		=      ['''past_key_values''']
    SCREAMING_SNAKE_CASE		=      {
        '''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     ,):
          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=A     ,eos_token_id=A     ,**A )











"""simple docstring"""







from __future__ import annotations

def _a			(		_snake_case				,	_snake_case				,	_snake_case							):







      """simple docstring"""






      if (voltage, current, resistance).count(0							) != 1:
            raise ValueError("""One and only one argument must be 0"""							)
      if resistance < 0:
            raise ValueError("""Resistance cannot be negative"""							)
      if voltage == 0:
            return {"voltage": float(current * resistance							)}
      elif current == 0:
            return {"current": voltage / resistance}
      elif resistance == 0:
            return {"resistance": voltage / current}
      else:
            raise ValueError("""Exactly one argument must be 0"""							)


if __name__ == "__main__":
  import doctest

  doctest.testmod()



