In chess_env.py implement state_to_alpha_zero_input()

Should take ChessEnv.state as input and output the state in a representation expected by our neural network. 12x8x8 binary array + some other 1x1x1 outputs which represent things like: castling rights for each player, number of moves, number of repetitions of current state... 