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chore: ban module-level import of pymatgen #1597
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Pymatgen is still imcompatbile with NumPy 2. Move the import into runtime to fix the documentation builds and prevent potential errors when one uses dpgen without using pymatgen. Signed-off-by: Jinzhe Zeng <jinzhe.zeng@rutgers.edu>
WalkthroughWalkthroughThe updates primarily involved restructuring import statements to improve code readability and maintainability. Imports were moved from the global scope to within specific methods or functions, localizing dependencies where they are used. This change impacts various files related to elasticity calculations, VASP input/output handling, crystal structure generation, and defect generation. The codebase now ensures more modular and efficient import management. Changes
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Codecov ReportAttention: Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## devel #1597 +/- ##
==========================================
- Coverage 49.59% 49.51% -0.08%
==========================================
Files 83 83
Lines 14851 14870 +19
==========================================
- Hits 7365 7363 -2
- Misses 7486 7507 +21 ☔ View full report in Codecov by Sentry. |
Pymatgen is still imcompatbile with NumPy 2. Move the import into runtime to fix the documentation builds and prevent potential errors when one uses dpgen without using pymatgen.
Signed-off-by: Jinzhe Zeng jinzhe.zeng@rutgers.edu
Summary by CodeRabbit
pyproject.toml
to include new rules and per-file exceptions.