🧪 Add more tools from the 'pygrep-hooks' pre-commit hook

[s-weigand]

Just some more tests for common errors ^^

Change summary

• Added additional hooks from pygrep-hooks

Checklist

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

[github-actions]

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

[codecov]

Codecov Report

Merging #805 (61d2820) into staging (9d49c12) will not change coverage.
The diff coverage is 100.0%.

@@           Coverage Diff           @@
##           staging    #805   +/-   ##
=======================================
  Coverage     84.5%   84.5%           
=======================================
  Files           75      75           
  Lines         4198    4198           
  Branches       756     756           
=======================================
  Hits          3550    3550           
  Misses         515     515           
  Partials       133     133           

Impacted Files	Coverage Δ
glotaran/deprecation/deprecation_utils.py	100.0% <100.0%> (ø)

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[sourcery-ai]

Sourcery Code Quality Report

Merging this PR leaves code quality unchanged.

Quality metrics	Before	After	Change
Complexity	3.71 ⭐	3.71 ⭐	0.00
Method Length	60.64 ⭐	60.64 ⭐	0.00
Working memory	9.10 🙂	9.10 🙂	0.00
Quality	71.06% 🙂	71.06% 🙂	0.00%

Other metrics	Before	After	Change
Lines	707	707	0

Changed files	Quality Before	Quality After	Quality Change
glotaran/deprecation/deprecation_utils.py	71.06% 🙂	71.06% 🙂	0.00%

Here are some functions in these files that still need a tune-up:

File	Function	Complexity	Length	Working Memory	Quality	Recommendation
glotaran/deprecation/deprecation_utils.py	check_qualnames_in_tests.deprecate_dict_entry	11 🙂	135 😞	14 😞	47.35% 😞	Try splitting into smaller methods. Extract out complex expressions
glotaran/deprecation/deprecation_utils.py	check_qualnames_in_tests.warn_deprecated	2 ⭐	101 🙂	14 😞	60.26% 🙂	Extract out complex expressions
glotaran/deprecation/deprecation_utils.py	check_qualnames_in_tests	6 ⭐	83 🙂	10 😞	65.48% 🙂	Extract out complex expressions

Legend and Explanation

The emojis denote the absolute quality of the code:

• ⭐ excellent
• 🙂 good
• 😞 poor
• ⛔ very poor

The 👍 and 👎 indicate whether the quality has improved or gotten worse with this pull request.

---

Please see our documentation here for details on how these metrics are calculated.

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[sonarcloud]

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]       [61d2820f]
     <v0.4.0>                   
-      48.6±0.7ms       36.8±0.5ms     0.76  BenchmarkOptimize.time_optimize(False, False, False)
-         270±3ms         45.8±5ms     0.17  BenchmarkOptimize.time_optimize(False, False, True)
-        69.7±1ms       61.3±0.6ms     0.88  BenchmarkOptimize.time_optimize(False, True, False)
       73.2±0.7ms       65.3±0.4ms    ~0.89  BenchmarkOptimize.time_optimize(False, True, True)
         47.7±1ms       47.5±0.3ms     1.00  BenchmarkOptimize.time_optimize(True, False, False)
-         267±3ms        70.1±40ms     0.26  BenchmarkOptimize.time_optimize(True, False, True)
         71.7±1ms       73.7±0.6ms     1.03  BenchmarkOptimize.time_optimize(True, True, False)
       72.4±0.7ms        91.4±20ms    ~1.26  BenchmarkOptimize.time_optimize(True, True, True)
             180M             180M     1.00  IntegrationTwoDatasets.peakmem_create_result
             198M             199M     1.01  IntegrationTwoDatasets.peakmem_optimize
-         223±3ms          185±3ms     0.83  IntegrationTwoDatasets.time_create_result
       4.83±0.03s        1.76±0.1s    ~0.37  IntegrationTwoDatasets.time_optimize

[jsnel]

LGTM