Files
project_6/cccl_upstream/.agent/skills/cccl-style/references/common.md
muh-bot 2a7ca101d7 feat(cccl): integrate missing CCCL directories — python/, ci/, .agent/, docs/, test/
Sparse-checkout from NVIDIA/cccl main branch to complete cccl_upstream:

Added:
- python/cuda_cccl/ (226 files) — Python bindings for device-level algorithms
  Critical for muh toolchain: cuda.compute.reduce_into, scan, radix_sort, etc.
  Includes 204 .py files with full test coverage for all 27 algorithms
- ci/ (163 files) — Build/test infrastructure
  build_cub.sh, test_cub.sh, build_and_test_targets.sh, matrix.yaml
  Directly maps to our [INFRA-CI] and [INFRA-BUILD] items
- .agent/skills/ (7 files) — NVIDIA's own agent skills for CCCL
  cccl-style/SKILL.md, cccl-test/SKILL.md, sass-diff/SKILL.md
- docs/ (491 files) — Official CCCL documentation
  CI references, CMake guides, Python compute docs, libcudacxx PTX docs
- test/ (12 files) — Top-level integration tests (cuda_smoke, stdpar)
- Root configs: .clang-format, .clang-tidy, CONTRIBUTING.md, pyproject.toml
- CLAUDE.md symlink → AGENTS.md (NVIDIA's standard)

cccl_upstream now mirrors full NVIDIA/cccl structure:
  Before: 42M (cub + thrust + libcudacxx + cudax + c + examples + benchmarks)
  After:  53M (+python +ci +docs +.agent +test +configs)

This completes the CCCL base needed for:
- [muh-bench] items: ci/util/build_and_test_targets.sh for targeted builds
- [CCCL-verify] items: python/cuda_cccl/tests/ as reference implementations
- [CCCL-test] items: ci/test_cub.sh, ci/test_thrust.sh
- Agent workflow: .agent/skills/ for consistent style and test patterns
2026-08-07 02:34:33 +00:00

5.0 KiB

Common CCCL Style Guidance

Apply this guidance across CCCL unless a path-specific style reference says otherwise.

Naming Style

  • Macros: macro style, e.g. MY_MACRO.
  • Template parameters: PascalCase, e.g. MyParameter.
  • All other symbols: snake style, e.g. my_variable. The one exception is the CUB public API, which uses PascalCase.

Variables

  • All variables that are not modified must use const. This includes variables initialized by casts (static_cast, reinterpret_cast, bit_cast), function return values, and loop-invariant computations.
  • All variables that can be evaluated at compile-time must use constexpr.
  • All constexpr variables at namespace/global scope must use inline, including variable templates.
  • Consider using plural names for array, span, list, e.g. int values[4] instead of int value[4].
  • Use uniform initialization for class constructors (not enforced to builtin types) and compile-time conversions, e.g. constexpr auto x = int{sizeof(float)};.

Headers

  • Files must include all headers related to the symbols that they are using.
  • Relying on transitive header inclusion is not allowed.
  • Unneeded headers must be removed.
  • All headers must have the correct license. This also applies to source files.
  • All header inclusions must use the syntax <header>.
  • Use forward declaration, namely __fwd/header.h or direct type declaration, when possible instead of including the implementation header.
  • Headers should be the most precise available, e.g. #include <cuda/std/__type_traits/is_array.h>.
  • Do not include headers in cuda/std/__cccl/ directly; they are provided by __config or the prologue/epilogue mechanism.

Functions

  • Functions must be marked _CCCL_HOST_API, _CCCL_DEVICE_API, _CCCL_HOST_DEVICE_API, _CCCL_TILE_API, or _CCCL_API.
  • Non-template, non-constexpr functions must use inline.
  • Most functions with a non-void return type should use [[nodiscard]]; functions with known side effects may be exceptions.
  • Functions that do not throw exceptions must use noexcept.
  • Use _CCCL_CONSTEVAL when the function can only be evaluated at compile time.
  • Use C++20 concept macros instead of SFINAE, e.g. _CCCL_TEMPLATE(...) and _CCCL_REQUIRES(...).

Function Calls And Types

  • In headers, apply global qualification where the subproject requires it:
    • libcudacxx and cudax require free function calls to be fully qualified from the global namespace, e.g. ::cuda::ceil_div(...).
    • CUB applies this rule only to calls to symbols under the ::cuda namespace hierarchy; otherwise follow existing CUB qualification style.
    • Thrust uses leading :: for many symbols under the ::cuda namespace hierarchy, but relies on ADL in many places and the blanket free-function qualification rule does not apply to those calls.
  • For covered calls, this includes calls to functions defined in the same namespace, e.g. inside cuda::, call ::cuda::ceil_div(...), not ceil_div(...). This does not apply to (static) member functions of classes. The only exceptions for covered calls are functions that are supposed to be found through argument-dependent lookup (ADL), such as ::cuda::std::swap and ::cuda::std::get. Those functions can be called unqualified with a preceding using ::cuda::std::get;.
  • This global-qualification rule does not apply to source files such as tests and benchmarks.
  • In headers, apply type-name qualification where the subproject requires it:
    • libcudacxx and cudax require type names to be fully qualified except when they are already declared in the current namespace or an enclosing one. Outside those namespaces, fully qualify cuda::std and standard integer type aliases such as ::cuda::std::size_t.
    • CUB applies this rule only to type names under the ::cuda namespace hierarchy. Do not apply the libcudacxx/cudax blanket type-qualification rule to CUB namespaces or detail namespaces.
    • Thrust does not apply the libcudacxx/cudax blanket type-qualification rule. It uses leading :: for many ::cuda and ::cuda::std type names, but also uses Thrust namespace patterns; follow neighboring Thrust code.
  • A local using declaration, e.g. using ::cuda::std::size_t;, is acceptable to avoid repetition within a function body.
  • Static member functions of a class template inherit the class's namespace.

Comments

  • Commented code without a description is not allowed.

General Guidelines

  • The code must reuse cuda/ or cuda/std functionalities as much as possible, including macros.
  • Try to use modern C++ as much as possible. The repository supports C++17 but many more recent functionalities have been backported with functions and macros.

Prevent Compiler Errors And Improve Compatibility

  • Remove unused code, variables, functions, types, template parameters, headers, etc.
  • Variables that are unsigned, or that can become unsigned after template instantiation, must not check for negative values directly. Use cuda::std::is_unsigned_v<T> ? false : (var < 0) instead.

Compiler Compatibility

  • Protect host-only code with #if !_CCCL_COMPILER(NVRTC).