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Add performance benchmarks for type operations #8

@AliiiBenn

Description

@AliiiBenn

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 members
    • GetMemberType calls
    • Type evaluation with nested generics
    • NewProtocol creation
  • Document results and identify bottlenecks

Acceptance criteria

  • Benchmark suite created
  • Key operations benchmarked
  • Results documented
  • Performance issues identified (if any)

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