TEST (Sourcery refactored)

[sourcery-ai[bot]]

Pull Request #20 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.

See our documentation here.

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Review changes via command line

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

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

Help us improve this pull request!

[sourcery-ai[bot]]

Sourcery Code Quality Report

✅  Merging this PR will increase code quality in the affected files by 0.27%.

Quality metrics	Before	After	Change
Complexity	7.81 ⭐	7.35 ⭐	-0.46 👍
Method Length	147.51 😞	147.33 😞	-0.18 👍
Working memory	10.06 😞	9.91 😞	-0.15 👍
Quality	56.40% 🙂	56.67% 🙂	0.27% 👍

Other metrics	Before	After	Change
Lines	3908	3883	-25

Changed files	Quality Before	Quality After	Quality Change
nilearn/image/image.py	56.93% 🙂	56.91% 🙂	-0.02% 👎
nilearn/image/resampling.py	28.51% 😞	29.71% 😞	1.20% 👍
nilearn/image/tests/test_image.py	64.96% 🙂	64.96% 🙂	0.00%
nilearn/image/tests/test_resampling.py	61.74% 🙂	61.74% 🙂	0.00%

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/image.py	new_img_like	31 😞	253 ⛔	12 😞	27.14% 😞	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/image.py	_smooth_array	18 🙂	216 ⛔	11 😞	38.94% 😞	Try splitting into smaller methods. Extract out complex expressions
nilearn/image/image.py	clean_img	7 ⭐	197 😞	20 ⛔	39.46% 😞	Try splitting into smaller methods. 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.

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

Help us improve this quality report!

[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.

Please make sure it is compliant with our contributing guidelines. In particular, be sure it checks the boxes listed below.

• [ ] PR has an interpretable title.
• [ ] PR links to Github issue with mention Closes #XXXX (see our documentation on PR structure)
• [ ] Code is PEP8-compliant (see our documentation on coding style)
• [ ] Changelog or what's new entry in doc/changes/latest.rst (see our documentation on PR structure)

For new features:

• [ ] There is at least one unit test per new function / class (see our documentation on testing)
• [ ] The new feature is demoed in at least one relevant example.

For bug fixes:

• [ ] There is at least one test that would fail under the original bug conditions.

We will review it as quick as possible, feel free to ping us with questions if needed.