glotaran / pyglotaran

A Python library for Global and Target Analysis of time-resolved spectroscopy data
GNU Lesser General Public License v3.0
53 stars 18 forks source link

🚀 Prepare 0.7.2 release #1400

Closed s-weigand closed 9 months ago

s-weigand commented 9 months ago

This PR prepares the 0.7.2 release. While only a few things on our side changed the raised numpy support is worth a release.

Change summary

Checklist

github-actions[bot] commented 9 months ago

Binder :point_left: Launch a binder notebook on branch s-weigand/pyglotaran/prepare-0.7.2-release

github-actions[bot] commented 9 months ago

Benchmark is done. Checkout the benchmark result page. Benchmark differences below 5% might be due to CI noise.

Benchmark diff v0.7.1 vs. main ``` All benchmarks: | Change | Before [535acaaa] | After [7e1075a6] | Ratio | Benchmark (Parameter) | |----------|------------------------------|---------------------|---------|-----------------------------------------| | | 235M | 235M | 1 | IntegrationTwoDatasets.peakmem_optimize | | | 1.38±0.08s | 1.39±0.08s | 1.01 | IntegrationTwoDatasets.time_optimize | ```
Benchmark diff main vs. PR ``` All benchmarks: | Change | Before [7e1075a6] | After [844d0cd9] | Ratio | Benchmark (Parameter) | |----------|----------------------|---------------------|---------|-----------------------------------------| | | 235M | 237M | 1.01 | IntegrationTwoDatasets.peakmem_optimize | | | 1.39±0.08s | 1.43±0.08s | 1.03 | IntegrationTwoDatasets.time_optimize | ```
codecov[bot] commented 9 months ago

Codecov Report

All modified and coverable lines are covered by tests :white_check_mark:

Comparison is base (7e1075a) 88.5% compared to head (844d0cd) 88.5%.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #1400 +/- ## ===================================== Coverage 88.5% 88.5% ===================================== Files 107 107 Lines 5128 5128 Branches 962 962 ===================================== Hits 4542 4542 Misses 471 471 Partials 115 115 ```

:umbrella: View full report in Codecov by Sentry.
:loudspeaker: Have feedback on the report? Share it here.

s-weigand commented 9 months ago

@jsnel I also prepared a release draft, but it still needs some nice text 😅

sonarcloud[bot] commented 9 months ago

Kudos, SonarCloud Quality Gate passed!    Quality Gate passed

Bug A 0 Bugs
Vulnerability A 0 Vulnerabilities
Security Hotspot A 0 Security Hotspots
Code Smell A 0 Code Smells

No Coverage information No Coverage information
0.0% 0.0% Duplication