original_docstring: 
          Simulate a random game except that we play all known critical cells
          first, return the winning player and record critical cells at the end.
          
docstring: Simulate a random game except that we play all known critical cells
  first, return the winning player and record critical cells at the end.
docstring_tokens: Simulate a random game except that we play all known critical cells first return the winning player and record critical cells at the end .
code: def roll_out(self, state: GameState) -> tuple:
          """
          Simulate a random game except that we play all known critical cells
          first, return the winning player and record critical cells at the end.
          """
          moves = state.moves()
          good_moves = moves.copy()
          good_opponent_moves = moves.copy()
          to_play = state.turn()
  
          while state.winner == GameMeta.PLAYERS["none"]:
              done = False
              while len(good_moves) > 0 and not done:
                  move = choice(good_moves)
                  good_moves.remove(move)
                  if not state.would_lose(move, to_play):
                      state.play(move)
                      moves.remove(move)
                      if move in good_opponent_moves:
                          good_opponent_moves.remove(move)
                      done = True
  
              if not done:
                  move = choice(moves)
                  state.play(move)
                  moves.remove(move)
                  if move in good_opponent_moves:
                      good_opponent_moves.remove(move)
  
              good_moves, good_opponent_moves = good_opponent_moves, good_moves
  
          black_rave_pts = []
          white_rave_pts = []
  
          for x in range(state.size):
              for y in range(state.size):
                  if state.board[(x, y)] == GameMeta.PLAYERS["black"]:
                      black_rave_pts.append((x, y))
                  elif state.board[(x, y)] == GameMeta.PLAYERS["white"]:
                      white_rave_pts.append((x, y))
  
          return state.winner, black_rave_pts, white_rave_pts
code_tokens: def roll_out ( self , state : GameState ) -> tuple : moves = state . moves ( ) good_moves = moves . copy ( ) good_opponent_moves = moves . copy ( ) to_play = state . turn ( ) while state . winner == GameMeta . PLAYERS [ "none" ] : done = False while len ( good_moves ) > 0 and not done : move = choice ( good_moves ) good_moves . remove ( move ) if not state . would_lose ( move , to_play ) : state . play ( move ) moves . remove ( move ) if move in good_opponent_moves : good_opponent_moves . remove ( move ) done = True if not done : move = choice ( moves ) state . play ( move ) moves . remove ( move ) if move in good_opponent_moves : good_opponent_moves . remove ( move ) good_moves , good_opponent_moves = good_opponent_moves , good_moves black_rave_pts = [ ] white_rave_pts = [ ] for x in range ( state . size ) : for y in range ( state . size ) : if state . board [ ( x , y ) ] == GameMeta . PLAYERS [ "black" ] : black_rave_pts . append ( ( x , y ) ) elif state . board [ ( x , y ) ] == GameMeta . PLAYERS [ "white" ] : white_rave_pts . append ( ( x , y ) ) return state . winner , black_rave_pts , white_rave_pts
short_docstring: Simulate a random game except that we play all known critical cells
  first, return the winning player and record critical cells at the end.
short_docstring_tokens: Simulate a random game except that we play all known critical cells first return the winning player and record critical cells at the end .
comment: """
          Simulate a random game except that we play all known critical cells
          first, return the winning player and record critical cells at the end.
          """