def test_apply_function_to_images_same_port(self):
dark = DarkCalibrationModule(name_in="dark1",
image_in_tag="science",
dark_in_tag="dark",
image_out_tag="science")
self.pipeline.add_module(dark)
self.pipeline.run_module("dark1")
data = self.pipeline.get_data("science")
assert np.allclose(np.mean(data),
-3.190113568690675e-06,
rtol=limit,
atol=0.)
assert data.shape == (4, 10, 10)
self.pipeline.set_attribute("config", "MEMORY", 0, static=True)
dark = DarkCalibrationModule(name_in="dark2",
image_in_tag="science",
dark_in_tag="dark",
image_out_tag="science")
self.pipeline.add_module(dark)
self.pipeline.run_module("dark2")
data = self.pipeline.get_data("science")
assert np.allclose(np.mean(data),
-1.026073475228737e-05,
rtol=limit,
atol=0.)
assert data.shape == (4, 10, 10)
remove = RemoveLinesModule(lines=(1, 0, 0, 0),
name_in="remove3",
image_in_tag="remove_3d",
image_out_tag="remove_3d")
self.pipeline.add_module(remove)
with pytest.raises(ValueError) as error:
self.pipeline.run_module("remove3")
assert str(error.value) == "Input and output port have the same tag while the input " \
"function is changing the image shape. This is only " \
"possible with MEMORY=None."
def test_apply_function_to_images_same_port(self):
dark = DarkCalibrationModule(name_in='dark1',
image_in_tag='science',
dark_in_tag='dark',
image_out_tag='science')
self.pipeline.add_module(dark)
self.pipeline.run_module('dark1')
data = self.pipeline.get_data('science')
assert np.allclose(np.mean(data),
-3.190113568690675e-06,
rtol=limit,
atol=0.)
assert data.shape == (4, 10, 10)
self.pipeline.set_attribute('config', 'MEMORY', 0, static=True)
dark = DarkCalibrationModule(name_in='dark2',
image_in_tag='science',
dark_in_tag='dark',
image_out_tag='science')
self.pipeline.add_module(dark)
self.pipeline.run_module('dark2')
data = self.pipeline.get_data('science')
assert np.allclose(np.mean(data),
-1.026073475228737e-05,
rtol=limit,
atol=0.)
assert data.shape == (4, 10, 10)
remove = RemoveLinesModule(lines=(1, 0, 0, 0),
name_in='remove3',
image_in_tag='remove_3d',
image_out_tag='remove_3d')
self.pipeline.add_module(remove)
with pytest.raises(ValueError) as error:
self.pipeline.run_module('remove3')
assert str(error.value) == 'Input and output port have the same tag while the input ' \
'function is changing the image shape. This is only ' \
'possible with MEMORY=None.'
def test_dark_calibration(self) -> None:
module = DarkCalibrationModule(name_in='dark',
image_in_tag='images',
dark_in_tag='dark',
image_out_tag='dark_cal')
self.pipeline.add_module(module)
self.pipeline.run_module('dark')
data = self.pipeline.get_data('dark_cal')
assert np.sum(data) == pytest.approx(0.00717386583629883,
rel=self.limit,
abs=0.)
assert data.shape == (5, 11, 11)
def test_dark_calibration(self):
dark_sub = DarkCalibrationModule(name_in="dark_subtraction",
image_in_tag="im_arr_cut",
dark_in_tag="dark_arr",
image_out_tag="dark_sub_arr")
self.pipeline.add_module(dark_sub)
self.pipeline.run_module("dark_subtraction")
data = self.pipeline.get_data("dark_sub_arr")
assert np.allclose(data[0, 61, 39],
-0.00021601281733413911,
rtol=limit,
atol=0.)
assert data.shape == (78, 100, 100)
def test_dark_calibration(self):
dark = DarkCalibrationModule(name_in="dark",
image_in_tag="images",
dark_in_tag="dark",
image_out_tag="dark_cal")
self.pipeline.add_module(dark)
self.pipeline.run_module("dark")
data = self.pipeline.get_data("dark")
assert np.allclose(data[0, 10, 10],
3.528694163309295e-05,
rtol=limit,
atol=0.)
assert np.allclose(np.mean(data),
7.368663496379876e-07,
rtol=limit,
atol=0.)
assert data.shape == (10, 100, 100)
def test_dark_calibration(self):
module = DarkCalibrationModule(name_in='dark',
image_in_tag='images',
dark_in_tag='dark',
image_out_tag='dark_cal')
self.pipeline.add_module(module)
self.pipeline.run_module('dark')
data = self.pipeline.get_data('dark_cal')
assert np.allclose(data[0, 10, 10],
0.0001881700200690493,
rtol=limit,
atol=0.)
assert np.allclose(np.mean(data),
3.137393482985464e-07,
rtol=limit,
atol=0.)
assert data.shape == (10, 100, 100)