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

Before Change

        return np.unique(np.floor(ind * mn))[:k]

    ind = _gen_unique_rand(random_state, gk)
    while ind.size < k:
        gk *= 1.05
        ind = _gen_unique_rand(random_state, gk)

    j = np.floor(ind * 1. / m).astype(tp)
    i = (ind - j * m).astype(tp)
    vals = random_state.rand(k).astype(dtype)
    return coo_matrix((vals, (i, j)), shape=(m, n)).asformat(format)

After Change

        for i in xrange(k):
            j = random_state.randint(mn)
            while j in selected:
                j = random_state.randint(mn)
            selected.add(j)
            ind[i] = j

    j = np.floor(ind * 1. / m).astype(tp)
    i = (ind - j * m).astype(tp)
    vals = random_state.rand(k).astype(dtype)

Instances