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
79 lines
2.1 KiB
Bash
Executable File
79 lines
2.1 KiB
Bash
Executable File
#!/usr/bin/env bash
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set -euo pipefail
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usage=$(cat <<EOF
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Usage: $0 <run id> <job_id>
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Allows the scripts in ci/util/workflow and ci/util/artifacts to run as though they are running in a CI environment.
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Create a mock job environment for testing purposes.
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The run id can be found in the workflow run URL, and the job_id can be found at the start of the Run Command job step.
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A new shell is spawned with the remote environment of a specific job from a specific workflow run.
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Environment variables are configured to mimic the CI environment.
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Caches and previously downloaded artifacts in /tmp are deleted to ensure a clean state.
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!! Note that this does affect the caller's filesystem:
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/tmp/workflow
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/tmp/<artifact stages, archives, registry>
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and similar caches will be deleted **from the caller's filesystem**.
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This is usually fine, but be might overwrite files in-use by other mock environments.
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EOF
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)
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readonly usage
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if [[ "$#" -ne 2 ]]; then
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echo "Error: Invalid number of arguments." >&2
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echo "$usage" >&2
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exit 1
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fi
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if [[ -n "${GITHUB_ACTIONS:-}" ]]; then
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echo "$0: Detected another GITHUB_ACTIONS environment." >&2
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echo "unset GITHUB_ACTIONS if this is intentional." >&2
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exit 1
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fi
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if [[ -z "${DEVCONTAINER_NAME:-}" ]]; then
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echo "This script must be run inside a devcontainer." >&2
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exit 1
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else
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echo "Running in devcontainer: $DEVCONTAINER_NAME"
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fi
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ci_dir=$(cd "$(dirname "${BASH_SOURCE[0]}")/../" && pwd)
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export GITHUB_ACTIONS=true
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export GITHUB_RUN_ID="$1"
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export JOB_ID="$2"
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(
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# shellcheck source=ci/util/workflow/common.sh
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source "$ci_dir/util/workflow/common.sh"
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# shellcheck source=ci/util/artifacts/common.sh
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source "$ci_dir/util/artifacts/common.sh"
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rm -rf "$WORKFLOW_DIR"
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rm -rf "$ARTIFACT_ARCHIVES"
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rm -rf "$ARTIFACT_UPLOAD_STAGE"
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rm -rf "$ARTIFACT_UPLOAD_REGISTERY"
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)
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# Configure shell prompt:
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export PS0=""
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export PS1="<Mock Job: $GITHUB_RUN_ID $JOB_ID> [\u@\h \W]$ "
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export PROMPT_COMMAND=""
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echo "Starting new shell for emulating Job $JOB_ID in Run $GITHUB_RUN_ID".
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echo ""
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bash --norc --noprofile -i || :
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echo
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echo "Exiting mock job environment."
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