def test_dark_correction(self):
desired_image_data = copy.copy(self.msi.get_image())
desired_image_data -= 1
dark = copy.copy(self.msi)
dark.set_image(np.ones_like(dark.get_image()))
mani.dark_correction(self.msi, dark)
np.testing.assert_equal(self.msi.get_image(), desired_image_data,
"dark image correctly accounted for")
np.testing.assert_equal(dark.get_image(),
np.ones_like(dark.get_image()),
"dark image unchanged by dark correction")
def test_dark_correction(self):
desired_image_data = copy.copy(self.msi.get_image())
desired_image_data -= 1
dark = copy.copy(self.msi)
dark.set_image(np.ones_like(dark.get_image()))
mani.dark_correction(self.msi, dark)
np.testing.assert_equal(self.msi.get_image(),
desired_image_data,
"dark image correctly accounted for")
np.testing.assert_equal(dark.get_image(),
np.ones_like(dark.get_image()),
"dark image unchanged by dark correction")
def test_dark_correction_with_single_value(self):
desired_image_data = copy.copy(self.specialmsi.get_image())
desired_image_data -= 1
dark = copy.copy(self.specialmsi)
dark.set_image(np.ones_like(dark.get_image()))
mani.calculate_mean_spectrum(dark)
mani.dark_correction(self.specialmsi, dark)
np.testing.assert_equal(self.specialmsi.get_image(),
desired_image_data,
"dark image correctly accounted for from singular dark value")
np.testing.assert_equal(dark.get_image(),
np.ones_like(dark.get_image()),
"dark image unchanged by dark correction")
def test_dark_correction_with_single_value(self):
desired_image_data = copy.copy(self.specialmsi.get_image())
desired_image_data -= 1
dark = copy.copy(self.specialmsi)
dark.set_image(np.ones_like(dark.get_image()))
mani.calculate_mean_spectrum(dark)
mani.dark_correction(self.specialmsi, dark)
np.testing.assert_equal(self.specialmsi.get_image(),
desired_image_data,
"dark image correctly accounted for from singular dark value")
np.testing.assert_equal(dark.get_image(),
np.ones_like(dark.get_image()),
"dark image unchanged by dark correction")
