589c372da5e415c4c0c33171971d3b26102b8b3c,scipy/sparse/construct.py,,rand,#Any#Any#Any#Any#Any#Any#,660

Before Change

    // Generate a few more values than k so that we can get unique values
    // afterwards.
    // XXX: one could be smarter here
    mlow = 5
    fac = 1.02
    gk = min(k + mlow, fac * k)

    if random_state is None:
        random_state = np.random
    elif isinstance(random_state, (int, np.integer)):

After Change

        ind = random_state.permutation(mn)[:k]
    else:
        ind = np.empty(k, dtype=tp)
        selected = set()
        for i in xrange(k):
            j = random_state.randint(mn)
            while j in selected:
                j = random_state.randint(mn)

Instances