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Up to standards ✅🟢 Issues
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| Metric | Results |
|---|---|
| Complexity | 289 |
| Duplication | 0 |
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Codex Review Summary: ✅ CompletedThis comment shows the latest Codex review activity on this pull request.
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Codex Review: Didn't find any major issues. More of your lovely PRs please. Reviewed commit: ℹ️ About Codex in GitHubYour team has set up Codex to review pull requests in this repo. Reviews are triggered when you
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Summary
parse_smiles()using native R/C++ without an external chemistry runtime.Validation
R CMD check: 0 errors, 0 warnings, 0 notes. After a network interruption the final check used installed dependencies and a local empty repository index; remote repository availability was not checked.parse_wurcs()accepts 15,712 andparse_smiles()accepts 15,710 (99.987% of the WURCS-success set).Deliberate limits
This is a defined glycan subset, not a general-purpose chemical SMILES reader. Charges, isotopes, separate explicit hydrogen atoms, aromatic atoms, disconnected salts, aglycones, unsupported open-chain structures, non-O links, cyclic residue graphs, and unknown modifications are rejected. SMILES is not added to automatic format detection.
Two WURCS-success records remain rejected rather than copied lossily: G27289CV needs non-root alditol state, and G89097YO contains a non-anomeric C2–O–C3 bridge. Correct support needs a representation-model extension. Existing WURCS parsing is unchanged.
Data: GlyGen 2.12.1 GLY_000291/GLY_000292, CC BY 4.0; attribution and source URLs are included with fixtures. No data lookup or external chemistry runtime is required at runtime.