class_docstr: Play tictactoe against a randomly acting opponent
class_docstr_tok: ["Play","tictactoe","against","a","randomly","acting","opponent"]
code: def reset(self):
      self._terminated = False
      self._state = [np.zeros(shape=(3, 3, 2), dtype=np.float32)]
  
      # Randomize who goes first
      if random.randint(0, 1) == 1:
          move = self.get_O_move()
          self._state[0][move[0]][move[1]] = TicTacToeEnvironment.O
  
file_path: deepchem/deepchem/rl/envs/tictactoe.py
imports: import numpy
  import copy
  import random
  import deepchem
label_desc: Use image node_id 2 for calling the TicTacToeEnvironment obj's underlying member method code with example usage: obj.reset() without return types