Files
project_6/cccl_upstream/ci/util/extract_switches.sh
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

70 lines
1.6 KiB
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Executable File

#!/usr/bin/env bash
# Similar to getopt, but only extracts recognized switches and leaves all other arguments in place.
#
# Example Usage:
# new_args=$(extract_switches.sh -cpu-only -gpu-only -- "$@")
# declare -a new_args="(${new_args})"
# set -- "${new_args[@]}"
# while true; do
# case "$1" in
# -cpu-only) CPU_ONLY=true; shift;;
# -gpu-only) GPU_ONLY=true; shift;;
# --) shift; break;;
# *) echo "Unknown argument: $1"; exit 1;;
# esac
# done
#
# This leaves all unrecognized arguments in $@ for later parsing.
# Parse switches
switches=()
for arg in "$@"; do
case "$arg" in
--help | -h)
cat <<"EOF" | cut -c 5-
Usage: extract_switches.sh <switch> [<switch> ...] -- <argv>
Sorts any recognized switches in argv to the front and returns the result.
Unrecognized switches are left in place.
Example Usage:
new_args="$(extract_switches.sh -cpu-only -gpu-only -- "$@")"
declare -a new_args="(${new_args})"
set -- "${new_args[@]}"
while true; do
case "$1" in
-cpu-only) CPU_ONLY=true; shift;;
-gpu-only) GPU_ONLY=true; shift;;
--) shift; break;;
*) echo "Unknown argument: $1"; exit 1;;
esac
done
EOF
exit
;;
--)
shift
break
;;
*)
switches+=("$arg")
shift
;;
esac
done
found_switches=()
other_args=()
for arg in "$@"; do
for switch in "${switches[@]}"; do
if [[ "$arg" = "$switch" ]]; then
found_switches+=("\"$arg\"")
continue 2
fi
done
other_args+=("\"$arg\"")
done
echo "${found_switches[*]} -- ${other_args[*]}"