class_docstr: Play tictactoe against a randomly acting opponent
class_docstr_tok: ["Play","tictactoe","against","a","randomly","acting","opponent"]
code: def check_winner(self, player):
      for i in range(3):
          row = np.sum(self._state[0][i][:], axis=0)
          if np.all(row == player * 3):
              return True
          col = np.sum(self._state[0][:][i], axis=0)
          if np.all(col == player * 3):
              return True
  
      diag1 = (
          self._state[0][0][0]
          + self._state[0][1][1]
          + self._state[0][2][2]
      )
      if np.all(diag1 == player * 3):
          return True
      diag2 = (
          self._state[0][0][2]
          + self._state[0][1][1]
          + self._state[0][2][0]
      )
      if np.all(diag2 == player * 3):
          return True
      return False
  
file_path: deepchem/deepchem/rl/envs/tictactoe.py
imports: import numpy
  import copy
  import random
  import deepchem
label_desc: Use image node_id 5 for calling the TicTacToeEnvironment obj's underlying member method code with example usage: obj.check_winner(player) and returns: False, True, True, True, True