debut tests

src/allencell_ml_segmenter/_tests/fakes/fake_viewer.py

@@ -24,6 +24,7 @@ def __init__(self, viewer: Optional[napari.Viewer] = None):
         self._shapes_layers: Dict[str, ShapesLayer] = {}
         self._labels_layers: Dict[str, LabelsLayer] = {}
         self._on_layers_change_fns: List[Callable] = []
+        self._segmentation_inserted: Dict[str, np.ndarray] = {}
 
     def add_image(self, image: np.ndarray, name: str):
         self._image_layers[name] = ImageLayer(name, None)
@@ -103,3 +104,9 @@ def subscribe_layers_change_event(
     def _on_layers_change(self):
         for fn in self._on_layers_change_fns:
             fn(FakeNapariEvent())
+
+    def get_seg_layers(self, layer_list: list[Layer]) -> list[Layer]:
+        return []
+
+    def insert_segmentation(self, layer_name: str, img: np.ndarray) -> None:
+        self._segmentation_inserted[layer_name] = img

src/allencell_ml_segmenter/_tests/thresholding/test_thresholding_view.py

@@ -3,13 +3,12 @@
 
 from PyQt5.QtCore import Qt
 
+from allencell_ml_segmenter._tests.fakes.fake_experiments_model import FakeExperimentsModel
 from allencell_ml_segmenter.main.main_model import MainModel
 from allencell_ml_segmenter.thresholding.thresholding_model import ThresholdingModel
 from allencell_ml_segmenter.core.file_input_model import FileInputModel, InputMode
-from allencell_ml_segmenter.main.i_experiments_model import IExperimentsModel
-from allencell_ml_segmenter.main.i_viewer import FakeViewer  # Assuming this exists
-from allencell_ml_segmenter.prediction.prediction_folder_progress_tracker import PredictionFolderProgressTracker
-from allencell_ml_segmenter.views.thresholding_view import ThresholdingView
+from allencell_ml_segmenter._tests.fakes.fake_viewer import FakeViewer
+from allencell_ml_segmenter.thresholding.thresholding_view import ThresholdingView
 
 @pytest.fixture
 def main_model() -> MainModel:
@@ -30,8 +29,8 @@ def file_input_model(tmp_path: Path) -> FileInputModel:
     return model
 
 @pytest.fixture
-def experiments_model() -> IExperimentsModel:
-    return IExperimentsModel()
+def experiments_model() -> FakeExperimentsModel:
+    return FakeExperimentsModel()
 
 @pytest.fixture
 def viewer() -> FakeViewer:

src/allencell_ml_segmenter/thresholding/thresholding_view.py

@@ -181,16 +181,6 @@ def _configure_slots(self) -> None:
             self._update_slider_from_spinbox
         )
 
-        # enable selections when corresponding radio button is selected
-        self._specific_value_radio_button.toggled.connect(
-            lambda checked: self._enable_specific_threshold_widgets(checked)
-        )
-        self._autothreshold_radio_button.toggled.connect(
-            lambda checked: self._autothreshold_method_combo.setEnabled(
-                checked
-            )
-        )
-
         # update state and ui based on radio button selections
         self._none_radio_button.toggled.connect(self._update_state_from_radios)
         self._specific_value_radio_button.toggled.connect(
@@ -245,7 +235,13 @@ def _update_state_from_radios(self) -> None:
         update state based on thresholding radio button selection
         """
         self._thresholding_model.set_autothresholding_enabled(self._autothreshold_radio_button.isChecked())
+        self._autothreshold_method_combo.setEnabled(
+            self._autothreshold_radio_button.isChecked())
+
         self._thresholding_model.set_threshold_enabled(self._specific_value_radio_button.isChecked())
+        self._enable_specific_threshold_widgets(self._specific_value_radio_button.isChecked())
+
+
 
         self._apply_save_button.setEnabled(
             self._specific_value_radio_button.isChecked()