Numpy/Torch insert smallest value in case of collision

I have an empty numpy array, a list of indices, and list of values associated with the indices. The issue is that there may be duplicates in the indices. In all these "collision" cases, I'd like the smallest value to be picked. Just wondering what is the best way to go about it. Eg:

array = [0,0,0,0,0,0,0]
indices = [0, 0, 2, 3, 2, 4]
values = [1.0, 3.0, 3.5, 1.5, 2.5, 8.0]

Result:

out = [1.0, 0, 2.5, 1.5, 8.0, 0.0, 0.0]

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