not able to use AddMaxEquality

[Rishabh Mohan]

Can someone tell why my AddMaxEquality function not working?

#91 utility numbers for a grid of 3 by 3, for each origin cell to destination cell, so total 81 utility numbers 

a = np.random.randint(0, 10, size=(9,9))

model = cp_model.CpModel()

#each cell in grid is either 0 or 1

cell_binary = [model.NewBoolVar("Cell_" + str(i)) for i in range(9)]

model.Add(sum(cell_binary) == 2)

#list of list of utility numbers for all cells 

utilities = [

    [

        model.AddProdEquality(

            model.NewIntVar(0, 100, “j”),

            [a[o, d], cell_binary[o]],

        )

        for o in range(9)

    ]

    for d in range(9)

]

#find max utility 

utility_max = [

    model.AddMaxEquality(model.NewIntVar(0, 10, "a"), i)

    for  i in utilities

] 

[Laurent Perron]

API is

model.AddMaxEquality(target_variable, [x1, .., xn])

where xi and target_variable are variables.

It enforces

target_variable = max(x1, .., xn)

Laurent Perron | Operations Research | lpe...@google.com | (33) 1 42 68 53 00

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[Rishabh Mohan]

 Thanks, so, what should I do differently that it will work?

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[Laurent Perron]

The sub-arrays of utilities must be arrays of variables.

In your code, these are arrays of constraints.

Laurent Perron | Operations Research | lpe...@google.com | (33) 1 42 68 53 00

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