⬆️ Combined dependabot updates

[s-weigand]

This is just a combination PR of:

• Bump scipy from 1.7.1 to 1.7.3 #915
• Bump sdtfile from 2021.3.21 to 2021.11.18 #909
• Bump rich from 10.12.0 to 10.14.0 #908
• Bump netcdf4 from 1.5.7 to 1.5.8 #890

Checklist

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

[github-actions]

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

[codecov]

Codecov Report

Merging #919 (16e373b) into main (910b832) will not change coverage.
The diff coverage is n/a.

@@          Coverage Diff          @@
##            main    #919   +/-   ##
=====================================
  Coverage   85.1%   85.1%           
=====================================
  Files         85      85           
  Lines       4796    4796           
  Branches     921     921           
=====================================
  Hits        4082    4082           
  Misses       562     562           
  Partials     152     152           

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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 v0.5.0rc1 vs. main

Parametrized benchmark signatures:

BenchmarkOptimize.time_optimize(index_dependent, grouped, weight)

All benchmarks:

       before           after         ratio
     [d05c042a]       [16e373b4]
     <v0.5.0rc1>                 
       53.4±0.5ms       55.9±0.4ms     1.05  BenchmarkOptimize.time_optimize(False, False, False)
        57.6±20ms       60.5±0.8ms     1.05  BenchmarkOptimize.time_optimize(False, False, True)
       52.9±0.5ms       56.0±0.3ms     1.06  BenchmarkOptimize.time_optimize(False, True, False)
       56.6±0.7ms         60.0±3ms     1.06  BenchmarkOptimize.time_optimize(False, True, True)
       64.7±0.4ms       67.4±0.6ms     1.04  BenchmarkOptimize.time_optimize(True, False, False)
        98.3±40ms        71.5±30ms    ~0.73  BenchmarkOptimize.time_optimize(True, False, True)
       64.3±0.4ms       66.9±0.3ms     1.04  BenchmarkOptimize.time_optimize(True, True, False)
        69.3±10ms        71.8±30ms     1.04  BenchmarkOptimize.time_optimize(True, True, True)
             193M             190M     0.99  IntegrationTwoDatasets.peakmem_optimize
+      1.51±0.03s       1.84±0.04s     1.22  IntegrationTwoDatasets.time_optimize

Benchmark diff main vs. PR

Parametrized benchmark signatures:

BenchmarkOptimize.time_optimize(index_dependent, grouped, weight)

All benchmarks:

       before           after         ratio
     [910b832c]       [16e373b4]
       56.3±0.6ms       55.9±0.4ms     0.99  BenchmarkOptimize.time_optimize(False, False, False)
         60.3±2ms       60.5±0.8ms     1.00  BenchmarkOptimize.time_optimize(False, False, True)
       55.9±0.5ms       56.0±0.3ms     1.00  BenchmarkOptimize.time_optimize(False, True, False)
         59.9±8ms         60.0±3ms     1.00  BenchmarkOptimize.time_optimize(False, True, True)
       67.1±0.3ms       67.4±0.6ms     1.00  BenchmarkOptimize.time_optimize(True, False, False)
        72.5±30ms        71.5±30ms     0.99  BenchmarkOptimize.time_optimize(True, False, True)
       67.1±0.3ms       66.9±0.3ms     1.00  BenchmarkOptimize.time_optimize(True, True, False)
       71.8±0.7ms        71.8±30ms     1.00  BenchmarkOptimize.time_optimize(True, True, True)
             193M             190M     0.99  IntegrationTwoDatasets.peakmem_optimize
       1.82±0.08s       1.84±0.04s     1.01  IntegrationTwoDatasets.time_optimize

[jsnel]

👍

[sonarcloud]

Kudos, SonarCloud Quality Gate passed!   

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1.5% Duplication