2a7ca101d7
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
22 lines
488 B
Bash
Executable File
22 lines
488 B
Bash
Executable File
#!/usr/bin/env bash
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## Usage:
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## ./scrape_docs.bash [path]
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## [path] is the starting point for searching for HTML. Ideally this is the siteroot
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## script will find all HTML files and record them into a CSV file that can be used for searching docs.
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set -euo pipefail
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SCRIPT_PATH=$(cd "$(dirname "$0")"; pwd -P)
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path_to_docs=$(realpath "$1")
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cd "$SCRIPT_PATH"
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pages=$(
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cd "$path_to_docs";
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find ./ -iname "*.html" -printf '/%P,'
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)
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echo "$pages" > "$path_to_docs/pagelist.txt"
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