test_function_base.py 文件源码

def test_out_nan(self):
        with warnings.catch_warnings(record=True):
            warnings.filterwarnings('always', '', RuntimeWarning)
            o = np.zeros((4,))
            d = np.ones((3, 4))
            d[2, 1] = np.nan
            assert_equal(np.percentile(d, 0, 0, out=o), o)
            assert_equal(
                np.percentile(d, 0, 0, interpolation='nearest', out=o), o)
            o = np.zeros((3,))
            assert_equal(np.percentile(d, 1, 1, out=o), o)
            assert_equal(
                np.percentile(d, 1, 1, interpolation='nearest', out=o), o)
            o = np.zeros(())
            assert_equal(np.percentile(d, 1, out=o), o)
            assert_equal(
                np.percentile(d, 1, interpolation='nearest', out=o), o)