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from enum import IntEnum
import numpy as np
import gym.spaces as spaces
import torch
raise DeprecationWarning("Do not use this. Grammar is defined in the env class; SocialAIGrammar is socialaigrammar.py")
# class Grammar(object):
#
# templates = ["Where is ", "Who is"]
# things = ["me", "exit", "you", "him", "task"]
#
# grammar_action_space = spaces.MultiDiscrete([len(templates), len(things)])
#
# @classmethod
# def construct_utterance(cls, action):
# return cls.templates[int(action[0])] + " " + cls.things[int(action[1])] + ". "
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