[TEST] Format examples (Sourcery refactored)

[sourcery-ai[bot]]

Pull Request #11 refactored by Sourcery.

If you're happy with these changes, merge this Pull Request using the Squash and merge strategy.

NOTE: As code is pushed to the original Pull Request, Sourcery will re-run and update (force-push) this Pull Request with new refactorings as necessary. If Sourcery finds no refactorings at any point, this Pull Request will be closed automatically.

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To manually merge these changes, make sure you're on the format_examples branch, then run:

git fetch origin sourcery/format_examples
git merge --ff-only FETCH_HEAD
git reset HEAD^

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[sourcery-ai[bot]]

Sourcery Code Quality Report

✅  Merging this PR will increase code quality in the affected files by 0.46%.

Quality metrics	Before	After	Change
Complexity	28.14 😞	27.01 😞	-1.13 👍
Method Length	200.82 😞	200.55 😞	-0.27 👍
Working memory	19.23 ⛔	18.72 ⛔	-0.51 👍
Quality	29.25% 😞	29.71% 😞	0.46% 👍

Other metrics	Before	After	Change
Lines	830	822	-8

Changed files	Quality Before	Quality After	Quality Change
nilearn/image/resampling.py	29.25% 😞	29.71% 😞	0.46% 👍

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

File	Function	Complexity	Length	Working Memory	Quality	Recommendation
nilearn/image/resampling.py	resample_img	54 ⛔	901 ⛔	26 ⛔	4.16% ⛔	Refactor to reduce nesting. Try splitting into smaller methods. Extract out complex expressions
nilearn/image/resampling.py	reorder_img	10 🙂	409 ⛔	15 😞	33.36% 😞	Try splitting into smaller methods. Extract out complex expressions
nilearn/image/resampling.py	_resample_one_img	11 🙂	207 ⛔	14 😞	40.66% 😞	Try splitting into smaller methods. Extract out complex expressions
nilearn/image/resampling.py	get_mask_bounds	2 ⭐	180 😞	16 ⛔	49.04% 😞	Try splitting into smaller methods. Extract out complex expressions
nilearn/image/resampling.py	coord_transform	2 ⭐	146 😞	13 😞	56.15% 🙂	Try splitting into smaller methods. Extract out complex expressions

Legend and Explanation

The emojis denote the absolute quality of the code:

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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 #13 (614ab43) into format_examples (7f45e46) will decrease coverage by 0.01%. The diff coverage is 100.00%.

@@                 Coverage Diff                 @@
##           format_examples      #13      +/-   ##
===================================================
- Coverage            91.00%   91.00%   -0.01%     
===================================================
  Files                  133      133              
  Lines                15350    15348       -2     
  Branches              3031     3031              
===================================================
- Hits                 13969    13967       -2     
  Misses                 817      817              
  Partials               564      564              

Impacted Files	Coverage Δ
nilearn/image/resampling.py	93.88% <100.00%> (-0.06%)	:arrow_down:

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