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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

`imops._numeric`, `imops.measure.center_of_mass`, benchmarks #22

Closed vovaf709 closed 1 year ago

codecov[bot] commented 1 year ago

Codecov Report

Merging #22 (f4be666) into master (b606f5e) will increase coverage by 2.37%. The diff coverage is 91.76%.

@@            Coverage Diff             @@
##           master      #22      +/-   ##
==========================================
+ Coverage   78.35%   80.72%   +2.37%     
==========================================
  Files          12       15       +3     
  Lines         656      768     +112     
  Branches      123      153      +30     
==========================================
+ Hits          514      620     +106     
- Misses        116      118       +2     
- Partials       26       30       +4
Impacted Files Coverage Δ
imops/morphology.py 90.19% <ø> (ø)
imops/measure.py 95.34% <80.00%> (-4.66%) :arrow_down:
imops/_numeric.py 90.74% <90.74%> (ø)
imops/__version__.py 100.00% <100.00%> (ø)
imops/_configs.py 100.00% <100.00%> (ø)
imops/radon.py 84.68% <100.00%> (+0.90%) :arrow_up:
imops/testing.py 97.56% <100.00%> (ø)

... and 1 file with indirect coverage changes

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