Module task_class 

Task-class abstraction for semantic-equivalent task grouping.

A TaskClass represents a category of semantically equivalent tasks that can reuse the same learned Gene even when the exact signal strings differ.

Example classes

ID	Name	Signal keywords
missing-import	Missing import / undefined symbol	E0425, E0433, unresolved, undefined, import, use
type-mismatch	Type mismatch	E0308, mismatched, expected, found, type
borrow-conflict	Borrow checker conflict	E0502, E0505, borrow, lifetime, moved

How matching works

1. Each signal string is tokenised into lowercase words.
2. A signal matches a TaskClass if the intersection of its word-set with the class’s signal_keywords is non-empty.
3. The TaskClassMatcher::classify method returns the class whose keywords produce the highest overlap score with the combined signal list.

Cross-class false positives are prevented because each class uses disjoint keyword sets; overlap scoring breaks ties by choosing the highest count, so a signal that partially matches two classes still maps to the one with more matching keywords.

Structs

TaskClass

A named category of semantically equivalent tasks.

TaskClassMatcher

Classifies a list of signal strings to the best-matching TaskClass.

Functions

builtin_task_classes

Return the canonical built-in set of task classes.

signals_match_class

Check whether signals match the given task-class ID in registry.