Closed Remi-Gau closed 1 year ago
✅ Merging this PR will increase code quality in the affected files by 4.62%.
Quality metrics | Before | After | Change |
---|---|---|---|
Complexity | 23.12 😞 | 14.38 🙂 | -8.74 👍 |
Method Length | 179.49 😞 | 159.39 😞 | -20.10 👍 |
Working memory | 14.17 😞 | 13.83 😞 | -0.34 👍 |
Quality | 42.68% 😞 | 47.30% 😞 | 4.62% 👍 |
Other metrics | Before | After | Change |
---|---|---|---|
Lines | 7836 | 8030 | 194 |
Changed files | Quality Before | Quality After | Quality Change |
---|---|---|---|
nilearn/connectome/group_sparse_cov.py | 25.20% 😞 | 31.38% 😞 | 6.18% 👍 |
nilearn/connectome/tests/test_group_sparse_cov.py | 52.96% 🙂 | 52.96% 🙂 | 0.00% |
nilearn/datasets/func.py | 46.71% 😞 | 51.49% 🙂 | 4.78% 👍 |
nilearn/datasets/tests/test_func.py | 70.33% 🙂 | 70.95% 🙂 | 0.62% 👍 |
nilearn/glm/first_level/first_level.py | 21.61% ⛔ | 24.78% ⛔ | 3.17% 👍 |
nilearn/image/resampling.py | 28.56% 😞 | 36.43% 😞 | 7.87% 👍 |
nilearn/image/tests/test_resampling.py | 61.73% 🙂 | 61.73% 🙂 | 0.00% |
nilearn/mass_univariate/permuted_least_squares.py | 3.57% ⛔ | 25.17% 😞 | 21.60% 👍 |
Here are some functions in these files that still need a tune-up:
File | Function | Complexity | Length | Working Memory | Quality | Recommendation |
---|---|---|---|---|---|---|
nilearn/glm/first_level/first_level.py | first_level_from_bids | 84 ⛔ | 834 ⛔ | 39 ⛔ | 0.66% ⛔ | Refactor to reduce nesting. Try splitting into smaller methods. Extract out complex expressions |
nilearn/connectome/group_sparse_cov.py | _group_sparse_covariance | 64 ⛔ | 1018 ⛔ | 34 ⛔ | 1.87% ⛔ | Refactor to reduce nesting. Try splitting into smaller methods. Extract out complex expressions |
nilearn/image/resampling.py | resample_img | 42 ⛔ | 818 ⛔ | 26 ⛔ | 6.63% ⛔ | Refactor to reduce nesting. Try splitting into smaller methods. Extract out complex expressions |
nilearn/glm/first_level/first_level.py | FirstLevelModel.fit | 57 ⛔ | 752 ⛔ | 18 ⛔ | 7.70% ⛔ | Refactor to reduce nesting. Try splitting into smaller methods. Extract out complex expressions |
nilearn/mass_univariate/permuted_least_squares.py | permuted_ols | 35 ⛔ | 855 ⛔ | 30 ⛔ | 8.16% ⛔ | Refactor to reduce nesting. Try splitting into smaller methods. Extract out complex expressions |
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@@ Coverage Diff @@
## flake8_cfg #17 +/- ##
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Coverage ? 91.09%
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Files ? 133
Lines ? 15387
Branches ? 3028
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Hits ? 14017
Misses ? 809
Partials ? 561
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