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Find indices in max recursive function. Optimization in Python

I took a code below from link

# A naive recursive implementation 
# of 0-1 Knapsack Problem 

# Returns the maximum value that 
# can be put in a knapsack of 
# capacity W 


def knapSack(W, wt, val, n): 

    # Base Case 
    if n == 0 or W == 0: 
        return 0

    # If weight of the nth item is 
    # more than Knapsack of capacity W, 
    # then this item cannot be included 
    # in the optimal solution 
    if (wt[n-1] > W): 
        return knapSack(W, wt, val, n-1) 

    # return the maximum of two cases: 
    # (1) nth item included 
    # (2) not included 
    else: 
        return max( 
            val[n-1] + knapSack( 
                W-wt[n-1], wt, val, n-1), 
            knapSack(W, wt, val, n-1)) 

# end of function knapSack 


#Driver Code 
val = [60, 100, 120] 
wt = [10, 20, 30] 
W = 50
n = len(val) 
print knapSack(W, wt, val, n) 

# This code is contributed by Nikhil Kumar Singh 

and I'd like to know what elements are included in the optimum result. In other words I need to know indices of taken elements (for this example output would be: list_of_indices = [2,1])


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