original_docstring: 
          Returns the action probability params (mean, std) for a single step
  
          :param obs: ([float] or [int]) The current observation of the environment
          :param state: ([float]) The last states (used in recurrent policies)
          :param mask: ([float]) The last masks (used in recurrent policies)
          :return: ([float], [float])
          
docstring: Returns the action probability params (mean, std) for a single step
docstring_tokens: Returns the action probability params ( mean std ) for a single step
code: def proba_step(self, obs, state=None, mask=None):
          """
          Returns the action probability params (mean, std) for a single step
  
          :param obs: ([float] or [int]) The current observation of the environment
          :param state: ([float]) The last states (used in recurrent policies)
          :param mask: ([float]) The last masks (used in recurrent policies)
          :return: ([float], [float])
          """
          raise NotImplementedError
code_tokens: def proba_step ( self , obs , state = None , mask = None ) : raise NotImplementedError
short_docstring: Returns the action probability params (mean, std) for a single step
short_docstring_tokens: Returns the action probability params ( mean std ) for a single step
comment: """
          Returns the action probability params (mean, std) for a single step
  
          :param obs: ([float] or [int]) The current observation of the environment
          :param state: ([float]) The last states (used in recurrent policies)
          :param mask: ([float]) The last masks (used in recurrent policies)
          :return: ([float], [float])
          """