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square_magic.py
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/
square_magic.py
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# -*- coding: utf-8 -*-
"""
Solution to Exercise 2.6: Magic Square
@author: Gualandi
"""
from gurobipy import Model, GRB, quicksum
import numpy as np
def MagicSquare(n):
model = Model()
# Variables x_ijk
z = model.addVar(vtype=GRB.INTEGER, name="z")
x = {}
for i in range(n):
for j in range(n):
for k in range(n*n):
x[i, j, k] = model.addVar(vtype=GRB.BINARY, name=f"x_{i}_{j}_{k}")
# Constraints: unique value in each position
for k in range(n*n):
model.addConstr(quicksum(x[i, j, k] for i in range(n) for j in range(n)) == 1)
# Constraints: every cell contains exactly one value
for i in range(n):
for j in range(n):
model.addConstr(quicksum(x[i, j, k] for k in range(n*n)) == 1)
# Sum over each row
for i in range(n):
model.addConstr(quicksum(k*x[i, j, k] for j in range(n) for k in range(n*n)) == z)
# Sum over each column
for j in range(n):
model.addConstr(quicksum(k*x[i, j, k] for i in range(n) for k in range(n*n)) == z)
# Main diagonal
model.addConstr(quicksum(k*x[i, i, k] for i in range(n) for k in range(n*n)) == z)
# Anti-diagonal
model.addConstr(quicksum(k*x[i, n-i-1, k] for i in range(n) for k in range(n*n)) == z)
# Solve model
model.optimize()
if model.Status == GRB.OPTIMAL:
S = np.zeros((n, n), dtype=int)
for i in range(n):
for j in range(n):
S[i, j] = sum(k*x[i, j, k].X for k in range(n*n))
return S
else:
return None
def PlotMagicSquare(sol):
# Report solution value
import matplotlib.pyplot as plt
import numpy as np
import itertools
n,n = sol.shape
cmap = plt.get_cmap('Blues')
plt.figure(figsize=(6, 6))
plt.imshow(sol, interpolation='nearest', cmap=cmap)
plt.title("Magic Square, Size: {}".format(n))
plt.axis('off')
for i, j in itertools.product(range(n), range(n)):
plt.text(j,
i,
"{:d}".format(sol[i, j]),
fontsize=24,
ha='center',
va='center')
plt.tight_layout()
plt.show()
# -----------------------------------------------
# MAIN function
# -----------------------------------------------
if __name__ == "__main__":
# Solve Magic Square of size 4
n = 6
S = MagicSquare(n)
PlotMagicSquare(S)