Haskell や Prolog のようなパターン マッチングを行うことができます。
論理的な演繹ルールを確立し、問題を説明し、答えを導き出します。
from pyDatalog import pyDatalog pyDatalog.create_atoms( 'N, N1, X, Y, X0, X1, X2, X3, X4, X5, X6, X7' ) pyDatalog.create_atoms( 'ok, queens, next_queen, pred, pred2' ) size = 8 ok( X1, N, X2 ) <= ( X1 != X2 ) & ( X1 != X2 + N ) & ( X1 != X2 - N ) pred( N, N1 ) <= ( N > 1 ) & ( N1 == N - 1 ) queens( 1, X ) <= ( X1._in( range( size ) ) ) & ( X1 == X[0] ) queens( N, X ) <= pred( N, N1 ) & queens( N1, X[:-1] ) & next_queen( N, X ) pred2( N, N1 ) <= ( N > 2 ) & ( N1 == N - 1 ) next_queen( 2, X ) <= ( X1._in( range( 8 ) ) ) & ok( X[0], 1, X1 ) & ( X1 == X[1] ) next_queen( N, X ) <= pred2( N, N1 ) & next_queen( N1, X[1:] ) & ok( X[0], N1, X[-1] ) print( queens( size, ( X0, X1, X2, X3, X4, X5, X6, X7 ) ) )