Prompt
When implementing or modifying parsing and validation algorithms, carefully consider both the correctness and user experience aspects:
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Preserve structural ordering in data structures like ASTs when order impacts semantics. As noted in discussion #1, “In some cases, like in macro scoping, the order is actually important,” so field reordering can introduce subtle bugs that are difficult to track down.
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Implement intelligent error recovery for mismatched delimiters by analyzing the context. For different mismatched delimiters scenarios, determine the most likely error:
// When suggesting missing delimiters, analyze the surrounding context
// BAD: Generic message for all cases
if 1 < 2 {
let _a = vec!]; // Just showing "mismatched closing delimiter"
}
// GOOD: Context-aware message
if 1 < 2 {
let _a = vec!]; // "mismatched closing delimiter, may be missing open `[`"
}
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Avoid over-suggesting fixes when multiple interpretations are possible. As mentioned in discussion #8, for constructs like
#![w,), the fix could be either[w,]or(w,)depending on context, so the diagnostic algorithm should avoid suggesting a specific solution when ambiguous. -
Track related delimiter errors by collecting information about unmatched opening delimiters to provide more comprehensive diagnostics, as suggested in discussion #7.
These validation algorithms should prioritize correctness while providing meaningful guidance to developers when errors occur.