def test_rebin_smaller():
ccd_data = ccd_data_func(data_size=10)
a = ccd_data.data
with catch_warnings(AstropyDeprecationWarning) as w:
b = rebin(a, (20, 20))
c = rebin(b, (10, 10))
assert len(w) >= 1
assert c.shape == (10, 10)
assert (c - a).sum() == 0
def test_rebin_does_not_change_input():
ccd_data = ccd_data_func()
original = ccd_data.copy()
with catch_warnings(AstropyDeprecationWarning) as w:
_ = rebin(ccd_data, (20, 20))
assert len(w) >= 1
np.testing.assert_array_equal(original.data, ccd_data.data)
assert original.unit == ccd_data.unit
def test_rebin_larger():
ccd_data = ccd_data_func(data_size=10)
a = ccd_data.data
with catch_warnings(AstropyDeprecationWarning) as w:
b = rebin(a, (20, 20))
assert len(w) >= 1
assert b.shape == (20, 20)
np.testing.assert_almost_equal(b.sum(), 4 * a.sum())
def test_rebin_ccddata(mask_data, uncertainty):
ccd_data = ccd_data_func(data_size=10)
if mask_data:
ccd_data.mask = np.zeros_like(ccd_data)
if uncertainty:
err = np.random.normal(size=ccd_data.shape)
ccd_data.uncertainty = StdDevUncertainty(err)
with catch_warnings(AstropyDeprecationWarning) as w:
b = rebin(ccd_data, (20, 20))
assert len(w) >= 1
assert b.shape == (20, 20)
if mask_data:
assert b.mask.shape == (20, 20)
if uncertainty:
assert b.uncertainty.array.shape == (20, 20)
def test_rebin_ccddata_dimensions():
ccd_data = ccd_data_func(data_size=10)
with pytest.raises(ValueError), catch_warnings(AstropyDeprecationWarning):
rebin(ccd_data, (5, ))
def test_rebin_ndarray():
with pytest.raises(TypeError), catch_warnings(AstropyDeprecationWarning):
rebin(1, (5, 5))