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
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# libcudacxx Style Guidance
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Use this reference for `libcudacxx/include/**/*` and `cudax/include/**/*`.
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## Naming Style
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All non-public symbols must be C++ reserved identifiers:
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- `_` for macros and template parameters, e.g. `_MY_MACRO`, `_MyParameter`.
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- `__` for all other symbols, e.g. `__my_variable`.
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- Never use reserved keywords, such as `__in`, `__out`, or `__inout` as variables, parameters, or function names.
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- Avoid single-letter template parameter names. Wrong: `_T`; correct: `_Tp`.
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## Class / Struct
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- Data member names have postfix `_`, e.g. `class __myclass { int __data_; };`.
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- Constructor parameter names should match class/struct data member names without the postfix `_`, e.g. `class __myclass { __myclass(int __data) : __data_(__data) {} };`.
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## Functions
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- Use `constexpr` for functions that do not depend on run-time features, such as pointers.
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- If the return type is not explicit (`auto`), then a trailing return type is strongly preferred.
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## Headers
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- Use the correct license:
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- `libcudacxx/include/cuda/std` files ported from LLVM libc++ use the LLVM license.
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- `libcudacxx/include/cuda/` files use Apache License v2.0 with LLVM Exceptions.
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- Headers use include guards with names derived from the uppercase full path and closing `#endif` comments repeating the guard name.
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- Right after the include guard, include:
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```cpp
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#include <cuda/std/detail/__config>
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#if defined(_CCCL_IMPLICIT_SYSTEM_HEADER_GCC)
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# pragma GCC system_header
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#elif defined(_CCCL_IMPLICIT_SYSTEM_HEADER_CLANG)
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# pragma clang system_header
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#elif defined(_CCCL_IMPLICIT_SYSTEM_HEADER_MSVC)
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# pragma system_header
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#endif // no system header
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```
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- The last included header before code must be `<cuda/std/__cccl/prologue.h>`, and `<cuda/std/__cccl/epilogue.h>` must appear at the end of the file.
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## Comments
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- Use Doxygen-style `//! @brief` comments.
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- Documented functions must include `//! @brief`, `//! @param[in/out/in,out]` for every parameter, and `//! @return` for non-void functions.
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- The `@brief/@param/@return` description must accurately reflect the current functionality of the function.
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## Compiler Compatibility
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- Do not use lambda expressions in device-only or host-device code.
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- Do not rely on deduction guides for initialization; use explicit template arguments instead.
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