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Description
Description
Add performance benchmarks for type manipulation operations.
Motivation
As the type manipulation system grows, we need to ensure it performs well, especially with:
- Large classes with many members
- Deeply nested type expressions
- Complex generic types
Tasks
- Create benchmark suite using pytest-benchmark or similar
- Benchmark key operations:
Iter[Attrs[T]]on classes with 10/50/100 membersGetMemberTypecalls- Type evaluation with nested generics
NewProtocolcreation
- Document results and identify bottlenecks
Acceptance criteria
- Benchmark suite created
- Key operations benchmarked
- Results documented
- Performance issues identified (if any)
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