feat: Intial annotations for HeapLang

[markusdemedeiros]

Description

HeapLang is actually around 33% complete. This PR adds in those annotations.

Modulo any mistakes, I think all of the theorems are pointing to the right place. However some might warrant a closer look, since I don't really understand them fully.

• wp_cmpXchg_fail/suc are stated differently to Rocq. Probably not a big deal?
• wp_alloc does not return a meta_token, it should
• tac_wp_alloc is different, the tac* lemmas I could not really evaluate the correctness of
• heap_adequacy is a little different than the Rocq version because it doesn't start with an invariant. Intentional?

Checklist

• My code follows the mathlib naming and code style conventions
• I have added my name to the authors section of any appropriate files

Generative AI Guidelines

AI assistance is permitted when making contributions to Iris-Lean, however, generative AI systems tend to produce code which takes a long time to review.
Please carefully review your code to ensure it meets the following standards.

• Your PR should avoid duplicating constructions found in Iris-Lean or in the Lean standard library.
• have statements that do not aid readability or code reuse should be inlined.
• Your proofs should be shortened such that their overall structure is explicable to a human reader. As a goal, aim to express one idea per line.
• In general, proofs should not perform substantially more case splitting than their Rocq counterparts.

In our experience, a good place to begin refactoring is by re-arranging and combining independent tactic invocations.
We also find that pointing generative AI systems to the Mathlib code style guidelines can help them perform some of this refactoring work.