def setUp(self):
self.img_model = ImgModel()
self.mask_model = MaskModel()
self.spectrum_model = PatternModel()
# setting up the calibration model but mocking the integration for speed
self.calibration_model = CalibrationModel(self.img_model)
self.calibration_model.num_points = 1000
dummy_x = np.linspace(0, 25, 1000)
dummy_y = np.sin(dummy_x)
self.calibration_model.integrate_1d = mock.Mock(return_value=(dummy_x,
dummy_y))
self.phase_model = PhaseModel()
self.widget = IntegrationWidget()
self.integration_controller = IntegrationController(
{'spectrum': data_path},
widget=self.widget,
img_model=self.img_model,
mask_model=self.mask_model,
calibration_model=self.calibration_model,
spectrum_model=self.spectrum_model,
phase_model=self.phase_model)
self.image_controller = self.integration_controller.image_controller
self.calibration_model.load(
os.path.join(data_path, 'CeO2_Pilatus1M.poni'))
self.img_model.load(os.path.join(data_path, 'CeO2_Pilatus1M.tif'))
def setUp(self):
self.img_model = ImgModel()
self.mask_model = MaskModel()
self.spectrum_model = PatternModel()
self.calibration_model = CalibrationModel(self.img_model)
self.calibration_model.integrate_1d = MagicMock(
return_value=(self.calibration_model.tth,
self.calibration_model.int))
self.phase_model = PhaseModel()
self.integration_widget = IntegrationWidget()
self.integration_controller = IntegrationController(
{'spectrum': data_path},
widget=self.integration_widget,
img_model=self.img_model,
mask_model=self.mask_model,
calibration_model=self.calibration_model,
spectrum_model=self.spectrum_model,
phase_model=self.phase_model)
self.calibration_model.load(
os.path.join(data_path, 'CeO2_Pilatus1M.poni'))
self.img_model.load(os.path.join(data_path, 'CeO2_Pilatus1M.tif'))
self.integration_spectrum_controller = self.integration_controller.spectrum_controller
self.integration_image_controller = self.integration_controller.image_controller
