Wannabe Hill-Climber implemented

01_sudoku_hillclimber.py

@@ -0,0 +1,34 @@
+"""
+Implementiere einen Hill-Climbing-Algorithmus, der die Zahlen in
+einem SUDOKU-Feld durch vertauschen innerhalb einer Zeile so
+umsortiert, dass sie die SUDOKU-Bedingung auch für die Spalten
+erfüllen.
+"""
+
+import numpy as np
+
+board = np.array([
+    [1, 2, 3, 4, 5, 6, 7, 8, 9],
+    [1, 2, 3, 4, 5, 6, 7, 8, 9],
+    [1, 2, 3, 4, 5, 6, 7, 8, 9],
+    [1, 2, 3, 4, 5, 6, 7, 8, 9],
+    [1, 2, 3, 4, 5, 6, 7, 8, 9],
+    [1, 2, 3, 4, 5, 6, 7, 8, 9],
+    [1, 2, 3, 4, 5, 6, 7, 8, 9],
+    [1, 2, 3, 4, 5, 6, 7, 8, 9],
+    [1, 2, 3, 4, 5, 6, 7, 8, 9]
+])
+
+board_size = len(board) # Board is always quadratic
+
+while -np.sum([len(set(board[:, i])) != 9 for i in range(9)]):
+    for row in range(board_size):
+        for col in range(board_size):
+            # Create array of column values excluding current row
+            column_without_current = np.concatenate([board[:row, col], board[row + 1:, col]])
+            if board[row, col] in column_without_current:
+                board[row, col], board[row, (col + 1) % board_size] = board[row, (col + 1) % board_size], board[row, col]
+                break
+    # print(-np.sum([len(set(board[:, i])) != 9 for i in range(9)])) # debugging
+
+print(board)        

02_sudoku_sa.py

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+"""
+Erweitere das SUDOKU aus Aufgabe 1 so, dass auch die 9
+üblichen 3x3 Quadrate alle Zahlen von 1-9 enthalten. Außerdem
+soll der Hill-Climber in einen Simulated-Annealing-Algorithmus
+abgewandelt werden. Wichtig ist, dass dabei die Wahrscheinlichkeit
+berechnet und ausgegeben wird, falls ein Schritt zu einer kleineren
+Fitness auftreten würde.
+"""
+
+import numpy as np
+
+board = np.array([
+    [1, 2, 3, 4, 5, 6, 7, 8, 9],
+    [1, 2, 3, 4, 5, 6, 7, 8, 9],
+    [1, 2, 3, 4, 5, 6, 7, 8, 9],
+    [1, 2, 3, 4, 5, 6, 7, 8, 9],
+    [1, 2, 3, 4, 5, 6, 7, 8, 9],
+    [1, 2, 3, 4, 5, 6, 7, 8, 9],
+    [1, 2, 3, 4, 5, 6, 7, 8, 9],
+    [1, 2, 3, 4, 5, 6, 7, 8, 9],
+    [1, 2, 3, 4, 5, 6, 7, 8, 9]
+])
+
+board_size = len(board) # Board is always quadratic
+
+while -np.sum([len(set(board[:, i])) != 9 for i in range(9)]):
+    for row in range(board_size):
+        for col in range(board_size):
+            # Create array of column values excluding current row
+            column_without_current = np.concatenate([board[:row, col], board[row + 1:, col]])
+            if board[row, col] in column_without_current:
+                board[row, col], board[row, (col + 1) % board_size] = board[row, (col + 1) % board_size], board[row, col]
+                break
+    # print(-np.sum([len(set(board[:, i])) != 9 for i in range(9)])) # debugging
+
+print(board)