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-standard-api-cstring:
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``<cuda/std/cstring>``
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======================
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``cuda::std::memset``
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---------------------
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.. code:: cuda
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__host__ __device__
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inline void* memset(void* dest, int ch, size_t count) noexcept;
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See `std::memset <https://en.cppreference.com/w/cpp/string/byte/memset.html>`_ for the full documentation.
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**Preconditions**
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The following preconditions are only enabled with CCCL 3.2 or later:
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- ``dest`` is a valid pointer.
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- ``dest + count`` is a valid pointer.
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A valid pointer is one that is not NULL and within the correct range if it belongs to the shared memory address space.
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----
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``cuda::std::memcpy``
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---------------------
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.. code:: cuda
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__host__ __device__
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inline void* memcpy(void* dest, const void* src, size_t count) noexcept;
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See `std::memcpy <https://en.cppreference.com/w/cpp/string/byte/memcpy.html>`_ for the full documentation.
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**Preconditions**
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The following preconditions are only enabled with CCCL 3.2 or later:
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- ``src`` is a valid pointer.
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- ``src + count`` is a valid pointer.
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- ``dest`` is a valid pointer.
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- ``dest + count`` is a valid pointer.
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- ``src`` and ``dest`` don't overlap.
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A valid pointer is one that is not NULL and within the correct range if it belongs to the shared memory address space.
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