How does GCUL ensure that type annotations are respected during contract compilation?

There is no direct publicly available detailed explanation specifically about how GCUL ensures that Python type annotations are respected during contract compilation. However, based on general programming and blockchain smart contract compilation principles:

1. GCUL likely uses static analysis tools integrated into its smart contract development pipeline to process Python source code, including type annotations (PEP 484 style).
2. During compilation, these tools verify type annotations against the actual code to ensure type correctness, rejecting or flagging contracts with mismatched types.
3. The compilation process may transform the typed Python code into a lower-level intermediate representation or bytecode that enforces the type constraints at runtime within GCUL’s managed execution environment.
4. Type annotations help in early detection of errors before deployment, improving contract reliability and security.
5. Runtime validation and explicit type checks may complement compile-time checks to ensure type safety during contract execution.

In summary, GCUL likely leverages Python’s type hinting combined with static analysis and a managed runtime that respects types during compilation and execution, ensuring contracts are type safe and robust. Precise technical details await official documentation release.