f71c8a72acffc0ec4da9dff211de5bcded3a4056,scipy/ndimage/tests/test_measurements.py,,test_variance01,#,661

Before Change

def test_variance01():
    olderr = np.seterr(all="ignore")
    try:
        for type in types:
            input = np.array([], type)
            output = ndimage.variance(input)
            assert_(np.isnan(output))
    finally:
        np.seterr(**olderr)

After Change

def test_variance01():
    olderr = np.seterr(all="ignore")
    try:
        with warnings.catch_warnings():
            // Numpy 1.9 gives warnings for mean([])
            warnings.filterwarnings("ignore", message="Mean of empty slice.")
            for type in types:
                input = np.array([], type)
                output = ndimage.variance(input)
                assert_(np.isnan(output))
    finally:
        np.seterr(**olderr)

Instances