feat: show doc of variants after links #82
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Signed-off-by: Jinzhe Zeng <[email protected]>
Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## master #82 +/- ##
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+ Coverage 78.52% 78.55% +0.02%
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Files 9 9
Lines 759 760 +1
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+ Hits 596 597 +1
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Signed-off-by: Jinzhe Zeng <[email protected]>
📝 Walkthrough📝 WalkthroughWalkthroughThe changes involve modifications to the Changes
Sequence Diagram(s)sequenceDiagram
participant User
participant Variant
User->>Variant: Call gen_doc_flag()
Variant->>Variant: Generate documentation
Variant->>Variant: Construct abstractdoc
Variant-->>User: Return generated documentation including abstractdoc
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🧹 Outside diff range and nitpick comments (1)
dargs/dargs.py (1)
955-961: LGTM! Consider handling empty documentation case.The implementation efficiently generates a bullet-point list of choices and their documentation. However, when no choices have documentation, an empty string will be generated.
Consider adding a conditional to handle the case when no choices have documentation:
abstractdoc = "\n".join( - [ - f"* {ll}: {cc.doc}" - for ll, cc in zip(l_choice, self.choice_dict.values()) - if cc.doc - ] + [f"* {ll}: {cc.doc}" + for ll, cc in zip(l_choice, self.choice_dict.values()) + if cc.doc] or ["(No documentation available for choices)"] )
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dargs/dargs.py(2 hunks)
🔇 Additional comments (1)
dargs/dargs.py (1)
970-972: LGTM! Clean integration of abstractdoc.
The integration maintains proper spacing with empty lines before and after the abstract documentation section, ensuring good readability of the generated documentation.
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See deepmodeling/dargs#82 Signed-off-by: Jinzhe Zeng <[email protected]>
See deepmodeling/dargs#82 <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit - **Documentation** - Enhanced documentation for various descriptor arguments and fitting configurations, improving clarity and usability. - Added detailed descriptions for descriptors related to the smooth edition of Deep Potential. - Updated registration of descriptor arguments to include new documentation strings for better guidance on functionality and expected parameters. <!-- end of auto-generated comment: release notes by coderabbit.ai --> Signed-off-by: Jinzhe Zeng <[email protected]>
This addresses deepmodeling/deepmd-kit#4239 (comment). The doc of different variants should be generated automatically.
Summary by CodeRabbit
Variantclass, now including a summary of choices available.gen_doc_flagmethod to ensure accurate output reflecting new documentation capabilities.