class_docstr: Connect4 Game class implementing the alpha-zero-general Game interface.
  
  Use 1 for player1 and -1 for player2.
docstr: Returns:
      startBoard: a representation of the board (ideally this is the form
                  that will be the input to your neural network)
docstr_tok: ["Returns",":","startBoard",":","a","representation","of","the","board","(","ideally","this","is","the","form","that","will","be","the","input","to","your","neural","network",")"]
code: def getInitBoard(self):
      """
      Returns:
          startBoard: a representation of the board (ideally this is the form
                      that will be the input to your neural network)
      """
      return self._base_board.np_pieces
  
imports: import numpy
  from collections import namedtuple
label_desc: Use image node_id 2 for calling the Connect4Game obj's underlying member method code with example usage: obj.getInitBoard() and returns: self