[analyzer] Allow overriding Unknown memspaces using a ProgramState trait (#123003)

In general, if we see an allocation, we associate the immutable memory
space with the constructed memory region.
This works fine if we see the allocation.
However, with symbolic regions it's not great because there we don't
know anything about their memory spaces, thus put them into the Unknown
space.

The unfortunate consequence is that once we learn about some aliasing
with this Symbolic Region, we can't change the memory space to the
deduced one.

In this patch, we open up the memory spaces as a trait, basically
allowing associating a better memory space with a memregion that
was created with the Unknown memory space.

As a side effect, this means that now queriing the memory space of a
region depends on the State, but many places in the analyzer, such as
the Store, doesn't have (and cannot have) access to the State by design.

This means that some uses must solely rely on the memspaces of the
region, but any other users should use the getter taking a State.

Co-authored-by: Balazs Benics <benicsbalazs@gmail.com>
20 files changed
tree: 41d775aecea9b190fc7da3c5ea137da248c1f136
  1. .ci/
  2. .github/
  3. bolt/
  4. clang/
  5. clang-tools-extra/
  6. cmake/
  7. compiler-rt/
  8. cross-project-tests/
  9. flang/
  10. flang-rt/
  11. libc/
  12. libclc/
  13. libcxx/
  14. libcxxabi/
  15. libunwind/
  16. lld/
  17. lldb/
  18. llvm/
  19. llvm-libgcc/
  20. mlir/
  21. offload/
  22. openmp/
  23. polly/
  24. pstl/
  25. runtimes/
  26. third-party/
  27. utils/
  28. .clang-format
  29. .clang-tidy
  30. .git-blame-ignore-revs
  31. .gitattributes
  32. .gitignore
  33. .mailmap
  34. CODE_OF_CONDUCT.md
  35. CONTRIBUTING.md
  36. LICENSE.TXT
  37. pyproject.toml
  38. README.md
  39. SECURITY.md
README.md

The LLVM Compiler Infrastructure

OpenSSF Scorecard OpenSSF Best Practices libc++

Welcome to the LLVM project!

This repository contains the source code for LLVM, a toolkit for the construction of highly optimized compilers, optimizers, and run-time environments.

The LLVM project has multiple components. The core of the project is itself called “LLVM”. This contains all of the tools, libraries, and header files needed to process intermediate representations and convert them into object files. Tools include an assembler, disassembler, bitcode analyzer, and bitcode optimizer.

C-like languages use the Clang frontend. This component compiles C, C++, Objective-C, and Objective-C++ code into LLVM bitcode -- and from there into object files, using LLVM.

Other components include: the libc++ C++ standard library, the LLD linker, and more.

Getting the Source Code and Building LLVM

Consult the Getting Started with LLVM page for information on building and running LLVM.

For information on how to contribute to the LLVM project, please take a look at the Contributing to LLVM guide.

Getting in touch

Join the LLVM Discourse forums, Discord chat, LLVM Office Hours or Regular sync-ups.

The LLVM project has adopted a code of conduct for participants to all modes of communication within the project.