🔧 Set sourcery-ai target python version to 3.8

[s-weigand]

We do not want sourcery to introduce code that isn't compatible with python 3.8, like the merge syntax added in python 3.9
, as it tried to do here.
The default python version of sourcery is python 3.9

Change summary

• 🔧 Set sourcery-ai target python version to 3.8

Checklist

• ✔️ Passing the tests (mandatory for all PR's)

[github-actions]

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

[codecov]

Codecov Report

Merging #1095 (60115bd) into main (60115bd) will not change coverage.
The diff coverage is n/a.

❗ Current head 60115bd differs from pull request most recent head a4c7c3f. Consider uploading reports for the commit a4c7c3f to get more accurate results

@@          Coverage Diff          @@
##            main   #1095   +/-   ##
=====================================
  Coverage   87.1%   87.1%           
=====================================
  Files        101     101           
  Lines       5339    5339           
  Branches     995     995           
=====================================
  Hits        4654    4654           
  Misses       530     530           
  Partials     155     155           

---

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[github-actions]

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

Benchmark diff v0.6.0 vs. main

Parametrized benchmark signatures:

BenchmarkOptimize.time_optimize(index_dependent, grouped, weight)

All benchmarks:

       before           after         ratio
     [6c3c390e]       [60115bde]
     <v0.6.0>                   
       53.0±0.3ms         54.5±2ms     1.03  BenchmarkOptimize.time_optimize(False, False, False)
       56.2±0.3ms       56.2±0.5ms     1.00  BenchmarkOptimize.time_optimize(False, False, True)
       53.1±0.3ms       52.8±0.4ms     1.00  BenchmarkOptimize.time_optimize(False, True, False)
       56.7±0.5ms         55.9±1ms     0.99  BenchmarkOptimize.time_optimize(False, True, True)
       63.7±0.6ms       63.6±0.9ms     1.00  BenchmarkOptimize.time_optimize(True, False, False)
        73.6±30ms         67.5±5ms     0.92  BenchmarkOptimize.time_optimize(True, False, True)
       64.0±0.6ms       63.1±0.4ms     0.99  BenchmarkOptimize.time_optimize(True, True, False)
        67.0±40ms         66.3±5ms     0.99  BenchmarkOptimize.time_optimize(True, True, True)
             204M             205M     1.00  IntegrationTwoDatasets.peakmem_optimize
       1.70±0.04s       1.72±0.06s     1.02  IntegrationTwoDatasets.time_optimize

Benchmark diff main vs. PR

Parametrized benchmark signatures:

BenchmarkOptimize.time_optimize(index_dependent, grouped, weight)

All benchmarks:

       before           after         ratio
     [60115bde]       [a4c7c3fd]
         54.5±2ms       52.8±0.5ms     0.97  BenchmarkOptimize.time_optimize(False, False, False)
       56.2±0.5ms         56.3±1ms     1.00  BenchmarkOptimize.time_optimize(False, False, True)
       52.8±0.4ms       52.8±0.4ms     1.00  BenchmarkOptimize.time_optimize(False, True, False)
         55.9±1ms       55.9±0.5ms     1.00  BenchmarkOptimize.time_optimize(False, True, True)
       63.6±0.9ms       63.2±0.4ms     0.99  BenchmarkOptimize.time_optimize(True, False, False)
         67.5±5ms        84.5±30ms    ~1.25  BenchmarkOptimize.time_optimize(True, False, True)
       63.1±0.4ms       63.0±0.4ms     1.00  BenchmarkOptimize.time_optimize(True, True, False)
         66.3±5ms         67.0±3ms     1.01  BenchmarkOptimize.time_optimize(True, True, True)
             205M             204M     1.00  IntegrationTwoDatasets.peakmem_optimize
       1.72±0.06s       1.70±0.05s     0.98  IntegrationTwoDatasets.time_optimize

[sonarqubecloud]

Kudos, SonarCloud Quality Gate passed!   

0 Bugs
0 Vulnerabilities
0 Security Hotspots
0 Code Smells

No Coverage information
0.7% Duplication