def METHOD_NAME():
    basis_vectors = np.random.randint(0, 100, (10, 2))
    vectors = np.empty((0, 2))
    filt = filter_vectors_near_basis(vectors, basis_vectors, distance=0.4)
    is_nan = np.isnan(filt).sum(axis=1) > 0
    np.testing.assert_array_equal(is_nan, True)