So, I picked up this code from
How do I make my implementation of greedy set cover faster?
I am trying to understand sets and set cover so, I modify this a bit.
U = set([1,2,3,4])
R = U
S = [set([1,2]), 
     set([1]), 
     set([1,2,3]), 
     set([1]), 
     set([3]), 
     set([1,2]), 
     set([3]), 
     set([1,2,3])]
w = [1, 1, 1, 1, 1, 1, 1, 1]
C = []
costs = []
def findMin(S, R):
    minCost = 99999.0
    minElement = -1
    for i, s in enumerate(S):
        try:
            cost = w[i]/(len(s.intersection(R)))
            if cost < minCost:
                minCost = cost
                minElement = i
        except:
            # Division by zero, ignore
            pass
    return S[minElement], w[minElement]
while len(R) != 0:
    S_i, cost = findMin(S, R)
    C.append(S_i)
    R = R.difference(S_i)
    costs.append(cost)
print "Cover: ", C
#print "Total Cost: ", sum(costs), costs
As can be seen U has values 1,2,3,4. None of the sets have 4 in them. I don't understands weights, so have put them as 1.
Expected output: set([1,2]), set([3]), set([1,2,3]), or Something which covers the maximum available.