def setUp(self):
# Attributes that need to be overwritten in subclasses:
self.study_class = None
self.study = None
self.constructor_data = {}
experim1 = make_sample_experiment(name="Experim1")
experim2 = make_sample_experiment(name="Experim2")
experim3 = make_sample_experiment(name="Experim3")
self.experims = [experim1, experim2, experim3]
def test_product(self):
study = self.study
self.assertEqual(study.product.name, BLANK_PRODUCT_NAME)
# If we add an experiment with a product, the product changes
experim1 = make_sample_experiment(name="Experim1")
study.add_experiments(experim1)
self.assertEqual(study.product, experim1.product)
# If we add an experiment with no product, the product doesn't change
experim2 = make_sample_experiment(name="Experim2")
study.add_experiments(experim2)
self.assertEqual(study.product, experim2.product)
def test_product(self):
study = self.study
self.assertIs(study.product, None)
experim1 = make_sample_experiment(name="Experim1")
study.add_experiments(experim1)
self.assertIsInstance(study.product, Product)
def setUp(self):
# Register all views
BaseModelViewTestCase.setUp(self)
# This could be the manual creation of an instance of the Resin togit
# represent.
experiment = make_sample_experiment()
self.model = experiment.column.resin
def setUp(self):
# This registers all views defined in kromatography/ui/adapters/api.py
BaseModelViewTestCase.setUp(self)
experiment = make_sample_experiment()
self.model = experiment.system.system_type
def setUp(self):
self.exp = make_sample_experiment()
self.exp2 = make_sample_experiment2()
def _get_system_type_flow_range_min(self):
if self.model.flow_range is not None:
range_units = self.model.flow_range.units
flow_range_min = self.model.flow_range[0]
return UnitScalar(flow_range_min, units=range_units)
def _get_system_type_flow_range_max(self):
if self.model.flow_range is not None:
range_units = self.model.flow_range.units
flow_range_max = self.model.flow_range[1]
return UnitScalar(flow_range_max, units=range_units)
def _set_system_type_flow_range_min(self, value):
self.model.flow_range[0] = value
def _set_system_type_flow_range_max(self, value):
self.model.flow_range[1] = value
if __name__ == '__main__':
from kromatography.model.tests.sample_data_factories import (
make_sample_experiment)
from kromatography.ui.api import register_all_data_views
register_all_data_views()
experiment = make_sample_experiment()
model = experiment.system.system_type
model_view = SystemTypeView(model=model)
model_view.configure_traits()
def setUp(self):
self.experiment = make_sample_experiment(name='Run 1')
def setUp(self):
self.model = make_sample_experiment()
self.klass = Experiment
def test_add_1_experim(self):
study = self.study
experim1 = make_sample_experiment(name="Experim1")
study.add_experiments(experim1)
self.assertEqual(study.experiments[0], experim1)