class_docstr: Play tictactoe against a randomly acting opponent
class_docstr_tok: ["Play","tictactoe","against","a","randomly","acting","opponent"]
code: def get_O_move(self):
      empty_squares = []
      for row in range(3):
          for col in range(3):
              if np.all(
                  self._state[0][row][col] == TicTacToeEnvironment.EMPTY
              ):
                  empty_squares.append((row, col))
      return random.choice(empty_squares)
  
file_path: deepchem/deepchem/rl/envs/tictactoe.py
imports: import numpy
  import copy
  import random
  import deepchem
label_desc: Use image node_id 4 for calling the TicTacToeEnvironment obj's underlying member method code with example usage: obj.get_O_move() and returns: random