def test_column_distribution(self):
        # make sure all column calls are distributed
        def test_impl(n):
            df = pd.DataFrame({'A': np.ones(n), 'B': np.random.ranf(n)})
            df.A.fillna(5.0, inplace=True)
            DF = df.A.fillna(5.0)
            s = DF.sum()
            m = df.A.mean()
            v = df.A.var()
            t = df.A.std()
            Ac = df.A.cumsum()
            return Ac.sum() + s + m + v + t

        hpat_func = self.jit(test_impl)
        n = 11
        self.assertEqual(hpat_func(n), test_impl(n))
        self.assertEqual(count_array_REPs(), 0)
        self.assertEqual(count_parfor_REPs(), 0)
        self.assertTrue(dist_IR_contains('dist_cumsum'))