def test_waffle_center_even(self) -> None:
module = WaffleCenteringModule(size=2.,
center=(50, 50),
name_in='waffle_even',
image_in_tag='star_even',
center_in_tag='waffle_even',
image_out_tag='center_even',
radius=42.5,
pattern='x',
sigma=0.135)
self.pipeline.add_module(module)
self.pipeline.run_module('waffle_even')
data = self.pipeline.get_data('star_even')
assert np.allclose(data[0, 49, 49], 0.08406157361512759, rtol=limit, atol=0.)
assert np.allclose(data[0, 49, 50], 0.08406157361512759, rtol=limit, atol=0.)
assert np.allclose(data[0, 50, 49], 0.08406157361512759, rtol=limit, atol=0.)
assert np.allclose(data[0, 50, 50], 0.08406157361512759, rtol=limit, atol=0.)
data = self.pipeline.get_data('center_even')
assert np.allclose(data[0, 37, 37], 0.09778822940550569, rtol=limit, atol=0.)
assert np.allclose(np.mean(data), 0.00017777777777778643, rtol=limit, atol=0.)
assert data.shape == (10, 75, 75)
attribute = self.pipeline.get_attribute('center_even', 'History: WaffleCenteringModule')
assert attribute == '[x, y] = [49.5, 49.5]'
def test_waffle_center_odd(self) -> None:
module = WaffleCenteringModule(size=2.,
center=(50, 50),
name_in='waffle_odd',
image_in_tag='star_odd',
center_in_tag='waffle_odd',
image_out_tag='center_odd',
radius=42.5,
pattern='x',
sigma=0.135)
self.pipeline.add_module(module)
self.pipeline.run_module('waffle_odd')
data = self.pipeline.get_data('star_odd')
assert np.allclose(data[0, 50, 50], 0.09806026673451182, rtol=limit, atol=0.)
data = self.pipeline.get_data('center_odd')
assert np.allclose(data[0, 37, 37], 0.0980602667345118, rtol=limit, atol=0.)
assert np.allclose(np.mean(data), 0.00017777777777778643, rtol=limit, atol=0.)
assert data.shape == (10, 75, 75)
attribute = self.pipeline.get_attribute('center_odd', 'History: WaffleCenteringModule')
assert attribute == '[x, y] = [50.0, 50.0]'
def test_waffle_center_even(self):
waffle = WaffleCenteringModule(size=2.,
center=(50, 50),
name_in="waffle_even",
image_in_tag="star_even",
center_in_tag="waffle_even",
image_out_tag="center_even",
radius=42.5,
pattern="x",
sigma=0.135)
self.pipeline.add_module(waffle)
self.pipeline.run_module("waffle_even")
data = self.pipeline.get_data("star_even")
assert np.allclose(data[0, 49, 49], 0.08406157361512759, rtol=limit, atol=0.)
assert np.allclose(data[0, 49, 50], 0.08406157361512759, rtol=limit, atol=0.)
assert np.allclose(data[0, 50, 49], 0.08406157361512759, rtol=limit, atol=0.)
assert np.allclose(data[0, 50, 50], 0.08406157361512759, rtol=limit, atol=0.)
data = self.pipeline.get_data("center_even")
assert np.allclose(data[0, 37, 37], 0.09778822940550569, rtol=limit, atol=0.)
assert np.allclose(np.mean(data), 0.00017777777777778643, rtol=limit, atol=0.)
assert data.shape == (10, 75, 75)
attribute = self.pipeline.get_attribute("center_even", "History: Waffle centering")
assert attribute == "position [x, y] = [49.5, 49.5]"
def test_waffle_center_odd(self):
waffle = WaffleCenteringModule(size=2.,
center=(50, 50),
name_in="waffle_odd",
image_in_tag="star_odd",
center_in_tag="waffle_odd",
image_out_tag="center_odd",
radius=42.5,
pattern="x",
sigma=0.135)
self.pipeline.add_module(waffle)
self.pipeline.run_module("waffle_odd")
data = self.pipeline.get_data("star_odd")
assert np.allclose(data[0, 50, 50], 0.09806026673451182, rtol=limit, atol=0.)
data = self.pipeline.get_data("center_odd")
assert np.allclose(data[0, 37, 37], 0.0980602667345118, rtol=limit, atol=0.)
assert np.allclose(np.mean(data), 0.00017777777777778643, rtol=limit, atol=0.)
assert data.shape == (10, 75, 75)
attribute = self.pipeline.get_attribute("center_odd", "History: Waffle centering")
assert attribute == "position [x, y] = [50.0, 50.0]"
def test_waffle_center_odd(self) -> None:
module = AddLinesModule(name_in='add',
image_in_tag='star',
image_out_tag='star_add',
lines=(45, 45, 45, 45))
self.pipeline.add_module(module)
self.pipeline.run_module('add')
data = self.pipeline.get_data('star_add')
assert np.sum(data) == pytest.approx(105.54278879805278,
rel=self.limit,
abs=0.)
assert data.shape == (10, 101, 101)
module = WaffleCenteringModule(size=0.2,
center=(50, 50),
name_in='waffle',
image_in_tag='star_add',
center_in_tag='waffle',
image_out_tag='center',
radius=35.,
pattern='x',
sigma=0.05)
self.pipeline.add_module(module)
with pytest.warns(DeprecationWarning) as warning:
self.pipeline.run_module('waffle')
assert len(warning) == 1
assert warning[0].message.args[0] == 'The \'pattern\' parameter will be deprecated in a ' \
'future release. Please Use the \'angle\' ' \
'parameter instead and set it to 45.0 degrees.'
data = self.pipeline.get_data('center')
assert np.sum(data) == pytest.approx(104.93318507061295,
rel=self.limit,
abs=0.)
assert data.shape == (10, 9, 9)
attr = self.pipeline.get_attribute('center',
'History: WaffleCenteringModule')
assert attr == '[x, y] = [50.0, 50.0]'
def test_waffle_center_even(self) -> None:
module = AddLinesModule(name_in='add1',
image_in_tag='star_add',
image_out_tag='star_even',
lines=(0, 1, 0, 1))
self.pipeline.add_module(module)
self.pipeline.run_module('add1')
data = self.pipeline.get_data('star_even')
assert np.sum(data) == pytest.approx(105.54278879805275,
rel=self.limit,
abs=0.)
assert data.shape == (10, 102, 102)
module = AddLinesModule(name_in='add2',
image_in_tag='waffle',
image_out_tag='waffle_even',
lines=(0, 1, 0, 1))
self.pipeline.add_module(module)
self.pipeline.run_module('add2')
data = self.pipeline.get_data('waffle_even')
assert np.sum(data) == pytest.approx(4.000000000000195,
rel=self.limit,
abs=0.)
assert data.shape == (1, 102, 102)
module = ShiftImagesModule(shift_xy=(0.5, 0.5),
interpolation='spline',
name_in='shift3',
image_in_tag='star_even',
image_out_tag='star_shift')
self.pipeline.add_module(module)
self.pipeline.run_module('shift3')
data = self.pipeline.get_data('star_shift')
assert np.sum(data) == pytest.approx(105.54278879805274,
rel=self.limit,
abs=0.)
assert data.shape == (10, 102, 102)
module = ShiftImagesModule(shift_xy=(0.5, 0.5),
interpolation='spline',
name_in='shift4',
image_in_tag='waffle_even',
image_out_tag='waffle_shift')
self.pipeline.add_module(module)
self.pipeline.run_module('shift4')
data = self.pipeline.get_data('waffle_shift')
assert np.sum(data) == pytest.approx(4.000000000000194,
rel=self.limit,
abs=0.)
assert data.shape == (1, 102, 102)
module = WaffleCenteringModule(size=0.2,
center=(50, 50),
name_in='waffle_even',
image_in_tag='star_shift',
center_in_tag='waffle_shift',
image_out_tag='center_even',
radius=35.,
pattern='x',
sigma=0.05)
self.pipeline.add_module(module)
with pytest.warns(DeprecationWarning) as warning:
self.pipeline.run_module('waffle_even')
assert len(warning) == 1
assert warning[0].message.args[0] == 'The \'pattern\' parameter will be deprecated in a ' \
'future release. Please Use the \'angle\' ' \
'parameter instead and set it to 45.0 degrees.'
data = self.pipeline.get_data('center_even')
assert np.sum(data) == pytest.approx(105.22695036281449,
rel=self.limit,
abs=0.)
assert data.shape == (10, 9, 9)
attr = self.pipeline.get_attribute('center_even',
'History: WaffleCenteringModule')
assert attr == '[x, y] = [50.5, 50.5]'