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haesleinhuepf / napari-accelerated-pixel-and-object-classification

GPU-accelerated, OpenCL-based Random Forest Classifiers for pixel and labeled object classification in napari.
BSD 3-Clause "New" or "Revised" License
43 stars 7 forks source link

add tests to improve coverage #7

Closed haesleinhuepf closed 2 years ago

codecov-commenter commented 2 years ago

Codecov Report

Merging #7 (b231491) into main (b7b3e5d) will increase coverage by 9.95%. The diff coverage is 100.00%.

Impacted file tree graph

@@            Coverage Diff             @@
##             main       #7      +/-   ##
==========================================
+ Coverage   83.99%   93.94%   +9.95%     
==========================================
  Files           6        6              
  Lines         531      578      +47     
==========================================
+ Hits          446      543      +97     
+ Misses         85       35      -50
Impacted Files Coverage Δ
...rated_pixel_and_object_classification/_function.py 100.00% <100.00%> (+24.16%) :arrow_up:
...and_object_classification/_tests/test_functions.py 100.00% <100.00%> (ø)
...l_and_object_classification/_tests/test_widgets.py 100.00% <100.00%> (ø)
...ed_pixel_and_object_classification/_dock_widget.py 90.54% <0.00%> (+6.01%) :arrow_up:

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