Update actions in scorecard.yml (#1421)

* Update scorecard.yml * add OpenSSF Scorecard badge
helmholtz-analytics · Apr 4, 2024 · 300054a · 300054a · github-actions · Apr 4, 2024
1 parent bc6f2d6
commit 300054a
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Showing 2 changed files with 3 additions and 2 deletions.
diff --git a/.github/workflows/scorecard.yml b/.github/workflows/scorecard.yml
@@ -42,7 +42,7 @@ jobs:
           persist-credentials: false
 
       - name: "Run analysis"
-        uses: ossf/scorecard-action@99c53751e09b9529366343771cc321ec74e9bd3d # v2.0.6
+        uses: ossf/scorecard-action@0864cf19026789058feabb7e87baa5f140aac736 # v2.3.1
         with:
           results_file: results.sarif
           results_format: sarif
@@ -64,7 +64,7 @@ jobs:
       # Upload the results as artifacts (optional). Commenting out will disable uploads of run results in SARIF
       # format to the repository Actions tab.
       - name: "Upload artifact"
-        uses: actions/upload-artifact@5d5d22a31266ced268874388b861e4b58bb5c2f3 # v4.3.1
+        uses: actions/upload-artifact@97a0fba1372883ab732affbe8f94b823f91727db # v3.pre.node20
         with:
           name: SARIF file
           path: results.sarif

diff --git a/README.md b/README.md
@@ -16,6 +16,7 @@ Heat is a distributed tensor framework for high performance data analytics.
 [![Downloads](https://pepy.tech/badge/heat)](https://pepy.tech/project/heat)
 [![Anaconda-Server Badge](https://anaconda.org/conda-forge/heat/badges/version.svg)](https://anaconda.org/conda-forge/heat)
 [![fair-software.eu](https://img.shields.io/badge/fair--software.eu-%E2%97%8F%20%20%E2%97%8F%20%20%E2%97%8F%20%20%E2%97%8F%20%20%E2%97%8F-green)](https://fair-software.eu)
+[![OpenSSF Scorecard](https://api.securityscorecards.dev/projects/github.com/helmholtz-analytics/heat/badge)](https://securityscorecards.dev/viewer/?uri=github.com/helmholtz-analytics/heat)
 [![OpenSSF Best Practices](https://bestpractices.coreinfrastructure.org/projects/7688/badge)](https://bestpractices.coreinfrastructure.org/projects/7688)
 [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.2531472.svg)](https://doi.org/10.5281/zenodo.2531472)
 [![Benchmarks](https://img.shields.io/badge/Github--Pages-Benchmarks-2ea44f)](https://helmholtz-analytics.github.io/heat/dev/bench)
Benchmark suite	Current: `300054a`	Previous: `bc6f2d6`	Ratio
`matmul_split_0_N1_GPU - GPU_UTIL`	`26.312856984138488` % (`19.076401946200363`)	`9.873021793365478` % (`2.0795380341185745`)	`2.67`
`matmul_split_1_N1_GPU - GPU_UTIL`	`26.32114646434784` % (`19.064740032839328`)	`9.881930351257324` % (`2.066204312050625`)	`2.66`
`qr_split_0_N1_GPU - GPU_UTIL`	`26.363511753082275` % (`19.006648145941664`)	`9.895333433151245` % (`2.046637406643217`)	`2.66`
`qr_split_1_N1_GPU - GPU_UTIL`	`26.439756178855895` % (`18.905285380803967`)	`9.902012586593628` % (`2.037112783625954`)	`2.67`
`lanczos_N1_GPU - GPU_UTIL`	`26.4594722032547` % (`18.87286006852056`)	`9.925438642501831` % (`2.013862947000773`)	`2.67`
`hierachical_svd_rank_N1_GPU - GPU_UTIL`	`26.449469685554504` % (`18.882440757292713`)	`9.980952501296997` % (`1.9683767306270255`)	`2.65`
`hierachical_svd_tol_N1_GPU - GPU_UTIL`	`26.44973051548004` % (`18.882124446295105`)	`10.016292142868043` % (`1.9486366017998402`)	`2.64`
`kmeans_N1_GPU - GPU_UTIL`	`22.890283346176147` % (`17.59793239904771`)	`10.336934661865234` % (`1.8152554419044435`)	`2.21`
`apply_inplace_normalizer_N1_GPU - GPU_UTIL`	`27.76885986328125` % (`17.625066006313663`)	`10.01007080078125` % (`1.9058158880496447`)	`2.77`