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    Could I get clarification? I implemented a code and found the cost lower than the one in the example for a new matrix. For the given matrix:
    4 8 2
    4 5 7
    6 1 6
    The matrix below solves it at a lower cost (this is what my code found):
    [4, 8, 2]
    [4, 4, 6] = cost is 2
    [6, 2, 6] = cost is 1
    The magic constant is 14 and The cost is 3

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    Guys, I am getting an output which doesn't match with the expected outputs of few test cases but the cost that I am getting as output is less than the expected min cost and even the final matrix also contains all distinct elements. Is anyone facing this problem or is the expected output = correct min cost? call center earphones with mic

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    def formingMagicSquare(s):
        a_b = [
            [-3,-1],
            [-3,1],
            [-1,-3],
            [-1,3],
            [1,-3],
            [1,3],
            [3,-1],
            [3,1]
        ]
        costs =[]
        for a,b in a_b:
            ms = [
                [5-b, 5+(a+b), 5 -a],
                [5-(a-b), 5, 5+(a-b)],
                [5+a, 5-(a+b), 5+b]
            ]
            cost = 0
            for i in range(3):
                for k in range(3):
                    cost+=abs(s[i][k]-ms[i][k])
            
            costs.append(cost)
        return min(costs)
    
  • + 0 comments

    I am getting an output which doesn't match with the expected outputs of few test cases but the cost that I am getting as output is less than the expected min cost and even the final matrix also contains all distinct elements. Is anyone facing this problem or is the expected output = correct min cost? ACFT Calculator

  • + 0 comments

    I am getting an output which doesn't match with the expected outputs of few test cases but the cost that I am getting as output is less than the expected min cost and even the final matrix also contains all distinct elements. Is anyone facing this problem or is the expected output = correct min cost? Convert Units Online