Reliable testing framework

tests/test_widget.py

@@ -1,65 +1,6 @@
-import numpy as np
-from napari_experimental._widget import (
-    ExampleQWidget,
-    ImageThreshold,
-    threshold_autogenerate_widget,
-    threshold_magic_widget,
-)
+from napari_experimental._widget import GroupLayerWidget
+from qtpy.QtWidgets import QWidget
 
 
-def test_threshold_autogenerate_widget():
-    # because our "widget" is a pure function, we can call it and
-    # test it independently of napari
-    im_data = np.random.random((100, 100))
-    thresholded = threshold_autogenerate_widget(im_data, 0.5)
-    assert thresholded.shape == im_data.shape
-    # etc.
-
-
-# make_napari_viewer is a pytest fixture that returns a napari viewer object
-# you don't need to import it, as long as napari is installed
-# in your testing environment
-def test_threshold_magic_widget(make_napari_viewer):
-    viewer = make_napari_viewer()
-    layer = viewer.add_image(np.random.random((100, 100)))
-
-    # our widget will be a MagicFactory or FunctionGui instance
-    my_widget = threshold_magic_widget()
-
-    # if we "call" this object, it'll execute our function
-    thresholded = my_widget(viewer.layers[0], 0.5)
-    assert thresholded.shape == layer.data.shape
-    # etc.
-
-
-def test_image_threshold_widget(make_napari_viewer):
-    viewer = make_napari_viewer()
-    layer = viewer.add_image(np.random.random((100, 100)))
-    my_widget = ImageThreshold(viewer)
-
-    # because we saved our widgets as attributes of the container
-    # we can set their values without having to "interact" with the viewer
-    my_widget._image_layer_combo.value = layer
-    my_widget._threshold_slider.value = 0.5
-
-    # this allows us to run our functions directly and ensure
-    # correct results
-    my_widget._threshold_im()
-    assert len(viewer.layers) == 2
-
-
-# capsys is a pytest fixture that captures stdout and stderr output streams
-def test_example_q_widget(make_napari_viewer, capsys):
-    # make viewer and add an image layer using our fixture
-    viewer = make_napari_viewer()
-    viewer.add_image(np.random.random((100, 100)))
-
-    # create our widget, passing in the viewer
-    my_widget = ExampleQWidget(viewer)
-
-    # call our widget method
-    my_widget._on_click()
-
-    # read captured output and check that it's as we expected
-    captured = capsys.readouterr()
-    assert captured.out == "napari has 1 layers\n"
+def test_me() -> None:
+    assert isinstance(GroupLayerWidget, QWidget)