dummy (Sourcery refactored)

[sourcery-ai[bot]]

Pull Request #8 refactored by Sourcery.

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[github-actions[bot]]

👋 @sourcery-ai[bot] Thanks for creating a PR!

Until this PR is ready for review, you can include the [WIP] tag in its title, or leave it as a github draft.

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[sourcery-ai[bot]]

Sourcery Code Quality Report

✅  Merging this PR will increase code quality in the affected files by 0.24%.

Quality metrics	Before	After	Change
Complexity	16.28 🙂	15.94 🙂	-0.34 👍
Method Length	167.63 😞	167.46 😞	-0.17 👍
Working memory	13.39 😞	13.37 😞	-0.02 👍
Quality	47.76% 😞	48.00% 😞	0.24% 👍

Other metrics	Before	After	Change
Lines	3631	3624	-7

Changed files	Quality Before	Quality After	Quality Change
examples/04_glm_first_level/plot_bids_features.py	48.54% 😞	48.53% 😞	-0.01% 👎
examples/04_glm_first_level/plot_predictions_residuals.py	38.08% 😞	38.09% 😞	0.01% 👍
nilearn/glm/second_level/second_level.py	49.07% 😞	49.56% 😞	0.49% 👍
nilearn/glm/tests/test_second_level.py	60.96% 🙂	60.94% 🙂	-0.02% 👎
nilearn/glm/tests/test_utils.py	71.24% 🙂	71.77% 🙂	0.53% 👍
nilearn/mass_univariate/permuted_least_squares.py	3.57% ⛔	3.61% ⛔	0.04% 👍
nilearn/reporting/_get_clusters_table.py	44.98% 😞	45.85% 😞	0.87% 👍

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

File	Function	Complexity	Length	Working Memory	Quality	Recommendation
nilearn/mass_univariate/permuted_least_squares.py	permuted_ols	84 ⛔	1371 ⛔	30 ⛔	1.30% ⛔	Refactor to reduce nesting. Try splitting into smaller methods. Extract out complex expressions
nilearn/mass_univariate/permuted_least_squares.py	_permuted_ols_on_chunk	30 😞	472 ⛔	27 ⛔	11.51% ⛔	Refactor to reduce nesting. Try splitting into smaller methods. Extract out complex expressions
nilearn/glm/second_level/second_level.py	_check_second_level_input	52 ⛔	245 ⛔	14 😞	18.41% ⛔	Refactor to reduce nesting. Try splitting into smaller methods. Extract out complex expressions
nilearn/reporting/_get_clusters_table.py	get_clusters_table	21 😞	438 ⛔	20 ⛔	19.76% ⛔	Refactor to reduce nesting. Try splitting into smaller methods. Extract out complex expressions
nilearn/glm/second_level/second_level.py	non_parametric_inference	14 🙂	449 ⛔	23 ⛔	23.53% ⛔	Try splitting into smaller methods. Extract out complex expressions

Legend and Explanation

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• 🙂 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.

We are actively working on this report - lots more documentation and extra metrics to come!

Help us improve this quality report!

[codecov-commenter]

Codecov Report

Merging #9 (d383e0d) into checklist (52ec59b) will increase coverage by 0.01%. The diff coverage is 95.45%.

@@              Coverage Diff              @@
##           checklist       #9      +/-   ##
=============================================
+ Coverage      91.01%   91.02%   +0.01%     
=============================================
  Files            133      133              
  Lines          15362    15352      -10     
  Branches        3035     3028       -7     
=============================================
- Hits           13981    13974       -7     
+ Misses           817      816       -1     
+ Partials         564      562       -2     

Impacted Files	Coverage Δ
nilearn/glm/second_level/second_level.py	97.52% <95.00%> (+0.29%)	:arrow_up:
nilearn/mass_univariate/permuted_least_squares.py	91.28% <100.00%> (+0.82%)	:arrow_up:
nilearn/reporting/_get_clusters_table.py	97.14% <100.00%> (-0.06%)	:arrow_down:

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