Add tests

Author: dstansby

src/napari_matplotlib/__init__.py

@@ -2,3 +2,6 @@
     from ._version import version as __version__
 except ImportError:
     __version__ = "unknown"
+
+
+from ._widget import *  # NoQA

src/napari_matplotlib/_widget.py

@@ -4,6 +4,8 @@
 from matplotlib.figure import Figure
 from qtpy.QtWidgets import QVBoxLayout, QWidget
 
+__all__ = ["HistogramWidget"]
+
 
 class HistogramWidget(QWidget):
     def __init__(self, napari_viewer: napari.viewer.Viewer):

src/napari_matplotlib/napari.yaml

@@ -3,7 +3,7 @@ display_name: napari Matplotlib
 contributions:
   commands:
     - id: napari-matplotlib.histogram
-      python_name: napari_matplotlib._widget:HistogramWidget
+      python_name: napari_matplotlib:HistogramWidget
       title: Make a histogram
 
   widgets:

src/napari_matplotlib/tests/test_widget.py

@@ -1,36 +1,10 @@
 import numpy as np
 
-from napari_matplotlib import ExampleQWidget, example_magic_widget
+from napari_matplotlib import HistogramWidget
 
 
-# make_napari_viewer is a pytest fixture that returns a napari viewer object
-# 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
+def test_example_q_widget(make_napari_viewer):
+    # Smoke test adding a histogram widget
     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_example_magic_widget(make_napari_viewer, capsys):
-    viewer = make_napari_viewer()
-    layer = viewer.add_image(np.random.random((100, 100)))
-
-    # this time, our widget will be a MagicFactory or FunctionGui instance
-    my_widget = example_magic_widget()
-
-    # if we "call" this object, it'll execute our function
-    my_widget(viewer.layers[0])
-
-    # read captured output and check that it's as we expected
-    captured = capsys.readouterr()
-    assert captured.out == f"you have selected {layer}\n"
+    HistogramWidget(viewer)