neuro-ml / imops

Efficient parallelizable algorithms for multidimensional arrays to speed up your data pipelines
https://neuro-ml.github.io/imops/
MIT License
21 stars 1 forks source link

Enhanced `imops.measure.center_of_mass`, `order=0` for `imops.zoom.zoom` #25

Closed vovaf709 closed 1 year ago

codecov[bot] commented 1 year ago

Codecov Report

Merging #25 (b7caaa5) into master (22942c4) will decrease coverage by 7.08%. The diff coverage is 45.81%.

@@            Coverage Diff             @@
##           master      #25      +/-   ##
==========================================
- Coverage   75.38%   68.30%   -7.08%     
==========================================
  Files          15       16       +1     
  Lines         841     1016     +175     
  Branches      160      200      +40     
==========================================
+ Hits          634      694      +60     
- Misses        178      286     +108     
- Partials       29       36       +7     
Impacted Files Coverage Δ
imops/utils.py 87.69% <ø> (-0.19%) :arrow_down:
imops/src/_numba_zoom.py 10.62% <13.23%> (+0.25%) :arrow_up:
imops/box.py 74.35% <74.35%> (ø)
imops/measure.py 86.66% <78.94%> (-8.89%) :arrow_down:
imops/__version__.py 100.00% <100.00%> (ø)
imops/_configs.py 100.00% <100.00%> (ø)
imops/_numeric.py 89.58% <100.00%> (-1.16%) :arrow_down:
imops/interp1d.py 80.51% <100.00%> (-0.74%) :arrow_down:
imops/morphology.py 89.79% <100.00%> (-0.41%) :arrow_down:
imops/radon.py 83.65% <100.00%> (-1.04%) :arrow_down:
... and 1 more

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