🔧🚇 Only run check-maifest on the CI

[s-weigand]

While it is important that we check if all files we want to bundle are actually bundled in the distribution, checking this in pre-commit can be cumbersome.
E.g. you were working on a PR and when you got it to work the way you want you to commit different small changes in contextual closed commits. If you added new files which you don't want to add in this commit check-manifest won't allow you to make this commit since it looks at all files and not only the tracked ones.
This in turn means that you need to make big commits or use the --no-verify flag which both can lead to bad commits.

Change summary

• 🔧🚇 Only run check-manifest on the CI

Checklist

• ✔️ Passing the tests (mandatory for all PR's)
• 🚧 Added changes to changelog (mandatory for all PR's)

[github-actions]

👈 Launch a binder notebook on branch s-weigand/pyglotaran/manifest_check_ci_only

[sonarqubecloud]

Kudos, SonarCloud Quality Gate passed!   

0 Bugs
0 Vulnerabilities
0 Security Hotspots
0 Code Smells

No Coverage information
1.0% Duplication

[github-actions]

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

Benchmark diff v0.5.1 vs. main

Parametrized benchmark signatures:

BenchmarkOptimize.time_optimize(index_dependent, grouped, weight)

All benchmarks:

       before           after         ratio
     [96b42630]       [20dd42df]
     <v0.5.1>                   
         62.7±2ms         61.5±1ms     0.98  BenchmarkOptimize.time_optimize(False, False, False)
        92.9±30ms         114±40ms    ~1.22  BenchmarkOptimize.time_optimize(False, False, True)
       62.7±0.8ms       61.5±0.6ms     0.98  BenchmarkOptimize.time_optimize(False, True, False)
        71.5±20ms         65.8±2ms     0.92  BenchmarkOptimize.time_optimize(False, True, True)
         78.9±2ms       73.3±0.2ms     0.93  BenchmarkOptimize.time_optimize(True, False, False)
        82.5±30ms         110±40ms    ~1.34  BenchmarkOptimize.time_optimize(True, False, True)
       74.8±0.6ms       73.8±0.6ms     0.99  BenchmarkOptimize.time_optimize(True, True, False)
        83.1±30ms        88.1±20ms     1.06  BenchmarkOptimize.time_optimize(True, True, True)
             208M             203M     0.98  IntegrationTwoDatasets.peakmem_optimize
       2.12±0.04s       2.02±0.04s     0.95  IntegrationTwoDatasets.time_optimize

Benchmark diff main vs. PR

Parametrized benchmark signatures:

BenchmarkOptimize.time_optimize(index_dependent, grouped, weight)

All benchmarks:

       before           after         ratio
     [1667b7d8]       [20dd42df]
         62.6±1ms         61.5±1ms     0.98  BenchmarkOptimize.time_optimize(False, False, False)
        99.1±40ms         114±40ms    ~1.15  BenchmarkOptimize.time_optimize(False, False, True)
       61.0±0.3ms       61.5±0.6ms     1.01  BenchmarkOptimize.time_optimize(False, True, False)
        68.6±30ms         65.8±2ms     0.96  BenchmarkOptimize.time_optimize(False, True, True)
       73.8±0.6ms       73.3±0.2ms     0.99  BenchmarkOptimize.time_optimize(True, False, False)
         81.5±3ms         110±40ms    ~1.35  BenchmarkOptimize.time_optimize(True, False, True)
       73.8±0.1ms       73.8±0.6ms     1.00  BenchmarkOptimize.time_optimize(True, True, False)
        85.0±40ms        88.1±20ms     1.04  BenchmarkOptimize.time_optimize(True, True, True)
             206M             203M     0.99  IntegrationTwoDatasets.peakmem_optimize
       2.10±0.07s       2.02±0.04s     0.96  IntegrationTwoDatasets.time_optimize

[codecov]

Codecov Report

Merging #967 (20dd42d) into main (1667b7d) will not change coverage.
The diff coverage is n/a.

@@          Coverage Diff          @@
##            main    #967   +/-   ##
=====================================
  Coverage   85.3%   85.3%           
=====================================
  Files         90      90           
  Lines       4859    4859           
  Branches     913     913           
=====================================
  Hits        4149    4149           
  Misses       561     561           
  Partials     149     149           

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[jsnel]

Good idea. 👍