def legal_moves(history, player_is_white):
""""Generates a list of legal moves. Missing castling, en-passant."""
board = ai.to_array(history)[-1]
moves = list(ai.legal_moves(board, player_is_white))
assert type(moves[0][0]) == array
moves = [ai.from_array(move) for move, _score in moves]
return moves
def main(given_history, _, __):
history = ai.to_array(given_history)
player_is_white = len(history) % 2 == 1
current_board = history[-1]
best_score = -10**10
for move, diff in ai.legal_moves(current_board, player_is_white):
score = ai.evaluate(move)
if not player_is_white:
score = -score
if score > best_score:
best_score = score
best_move = move
print(f'search depth: 1')
print(f'expected score: {best_score}')
return ai.from_array(best_move)
def main(history, _, __):
possible_moves = list(
ai.legal_moves(ai.to_array(history[-1]),
len(history) % 2))
move = random.choice(possible_moves)[0]
return ai.from_array(move)