Small fix for baseline megacomplex

[joernweissenborn]

Really small fix

[github-actions]

👈 Launch a binder notebook on branch joernweissenborn/pyglotaran/fixbaseline

[codecov]

Codecov Report

Merging #762 (c608329) into staging (08a2c0f) will not change coverage.
The diff coverage is 0.0%.

@@           Coverage Diff           @@
##           staging    #762   +/-   ##
=======================================
  Coverage     80.4%   80.4%           
=======================================
  Files           70      70           
  Lines         4043    4043           
  Branches       720     720           
=======================================
  Hits          3252    3252           
  Misses         664     664           
  Partials       127     127           

Impacted Files	Coverage Δ
...tin/megacomplexes/baseline/baseline_megacomplex.py	83.3% <0.0%> (ø)

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[s-weigand]

LGTM

[sonarqubecloud]

Kudos, SonarCloud Quality Gate passed!   

0 Bugs
0 Vulnerabilities
0 Security Hotspots
0 Code Smells

No Coverage information
0.0% Duplication

[github-actions]

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

Benchmark diff

Parametrized benchmark signatures:

BenchmarkOptimize.time_optimize(index_dependent, grouped, weight)

All benchmarks:

       before           after         ratio
     [dc00e6da]       [c6083296]
     <v0.4.0>                   
-      42.5±0.2ms       31.9±0.5ms     0.75  BenchmarkOptimize.time_optimize(False, False, False)
-       238±0.9ms       36.3±0.6ms     0.15  BenchmarkOptimize.time_optimize(False, False, True)
-      61.5±0.2ms       52.3±0.4ms     0.85  BenchmarkOptimize.time_optimize(False, True, False)
       63.4±0.3ms       57.4±0.6ms    ~0.90  BenchmarkOptimize.time_optimize(False, True, True)
       42.7±0.1ms       40.6±0.2ms     0.95  BenchmarkOptimize.time_optimize(True, False, False)
-       238±0.6ms       45.5±0.5ms     0.19  BenchmarkOptimize.time_optimize(True, False, True)
       62.0±0.4ms       63.0±0.3ms     1.02  BenchmarkOptimize.time_optimize(True, True, False)
       63.8±0.3ms       68.3±0.5ms     1.07  BenchmarkOptimize.time_optimize(True, True, True)
             183M             182M     1.00  IntegrationTwoDatasets.peakmem_create_result
             201M             198M     0.99  IntegrationTwoDatasets.peakmem_optimize
-         197±1ms          159±2ms     0.81  IntegrationTwoDatasets.time_create_result
-      4.06±0.01s       1.30±0.05s     0.32  IntegrationTwoDatasets.time_optimize

[jsnel]

Looks ok. We currently don't have models with baseline as part of examples so this change should not break anything.