def test_base_settings_history(self, tmp_path, qtbot, monkeypatch):
settings = base_settings.BaseSettings(tmp_path)
assert settings.history_size() == 0
assert settings.history_redo_size() == 0
hist_elem = HistoryElement({"a": 1}, None, MaskProperty.simple_mask(),
BytesIO())
hist_elem2 = HistoryElement({"a": 2}, None, MaskProperty.simple_mask(),
BytesIO())
hist_elem3 = HistoryElement({"a": 3}, None, MaskProperty.simple_mask(),
BytesIO())
settings.add_history_element(hist_elem)
assert settings.history_size() == 1
assert settings.history_redo_size() == 0
settings.add_history_element(hist_elem2)
assert settings.history_size() == 2
assert settings.history_redo_size() == 0
assert settings.history_pop().roi_extraction_parameters["a"] == 2
assert settings.history_current_element(
).roi_extraction_parameters["a"] == 1
assert settings.history_next_element(
).roi_extraction_parameters["a"] == 2
assert settings.history_redo_size() == 1
assert settings.history_size() == 1
assert len(settings.get_history()) == 1
assert settings.get_history()[-1].roi_extraction_parameters["a"] == 1
settings.add_history_element(hist_elem3)
settings.history_pop()
settings.history_redo_clean()
assert settings.history_redo_size() == 0
settings.history_pop()
assert settings.history_pop() is None
assert settings.history_size() == 0
assert settings.history_redo_size() == 1
settings.set_history([hist_elem, hist_elem2])
assert settings.get_history()[-1].roi_extraction_parameters["a"] == 2
assert settings.history_size() == 2
assert settings.history_redo_size() == 0
settings.history_pop()
monkeypatch.setattr(settings, "cmp_history_element", lambda x, y: True)
settings.add_history_element(hist_elem3)
def create_mask_operation_plan(mask_op):
parameters = {
"channel": 0,
"minimum_size": 200,
"threshold": {
"name": "Manual",
"values": {
"threshold": 13000
}
},
"noise_filtering": {
"name": "Gauss",
"values": {
"dimension_type": DimensionType.Layer,
"radius": 1.0
}
},
"side_connection": False,
}
parameters2 = dict(**parameters)
parameters2["channel"] = 1
segmentation = ROIExtractionProfile(name="test",
algorithm="Lower threshold",
values=parameters)
segmentation2 = ROIExtractionProfile(name="test2",
algorithm="Lower threshold",
values=parameters2)
chosen_fields = [
MeasurementEntry(
name="Segmentation Volume",
calculation_tree=Leaf(name="Volume",
area=AreaType.ROI,
per_component=PerComponent.No),
),
]
statistic = MeasurementProfile(name="base_measure",
chosen_fields=chosen_fields,
name_prefix="")
statistic_calculate = MeasurementCalculate(
channel=-1,
units=Units.µm,
measurement_profile=statistic,
name_prefix="")
tree = CalculationTree(
RootType.Image,
[
CalculationTree(
segmentation,
[
CalculationTree(
MaskCreate(
name="test1",
mask_property=MaskProperty.simple_mask()), [])
],
),
CalculationTree(
segmentation2,
[
CalculationTree(
MaskCreate(
name="test2",
mask_property=MaskProperty.simple_mask()), [])
],
),
CalculationTree(mask_op, [
CalculationTree(segmentation2,
[CalculationTree(statistic_calculate, [])])
]),
],
)
return CalculationPlan(tree=tree, name="test")
def test_simple_mask(self):
assert MaskProperty.simple_mask() == MaskProperty(
RadiusType.NO, 0, RadiusType.NO, 0, False, False)