Edit

IABSD.fr/xenocara/lib/mesa/.gitlab-ci/prepare-artifacts-python.sh

Branch :

  • Show log

    Commit

  • Author : jsg
    Date : 2025-06-05 11:23:11
    Hash : 67d6f117
    Message : Import Mesa 25.0.7

  • lib/mesa/.gitlab-ci/prepare-artifacts-python.sh
  • #!/usr/bin/env bash
    # shellcheck disable=SC2038 # TODO: rewrite the find
    # shellcheck disable=SC2086 # we want word splitting
    # shellcheck disable=SC1091 # relative paths only become valid at runtime
    
    . "${SCRIPTS_DIR}/setup-test-env.sh"
    
    section_switch prepare-artifacts "artifacts: prepare"
    
    set -e
    set -o xtrace
    
    mkdir -p artifacts/
    
    # Test runs don't pull down the git tree, so put the dEQP helper
    # script and associated bits there.
    echo "$(cat VERSION) (git-$(git rev-parse HEAD | cut -b -10))" > artifacts/VERSION
    cp -Rp .gitlab-ci/report-flakes.py artifacts/
    cp -Rp .gitlab-ci/setup-test-env.sh artifacts/
    cp -Rp .gitlab-ci/common artifacts/ci-common
    cp -Rp .gitlab-ci/b2c artifacts/
    cp -Rp .gitlab-ci/bare-metal artifacts/
    cp -Rp .gitlab-ci/lava artifacts/
    cp -Rp .gitlab-ci/bin/*_logger.py artifacts/
    
    mapfile -t duplicate_files < <(
      find src/ -path '*/ci/*' \
        \( \
          -name '*.txt' \
          -o -name '*.toml' \
          -o -name '*traces*.yml' \
        \) \
        -exec basename -a {} + | sort | uniq -d
    )
    if [ ${#duplicate_files[@]} -gt 0 ]; then
      echo 'Several files with the same name in various ci/ folders:'
      printf -- '  %s\n' "${duplicate_files[@]}"
      exit 1
    fi
    
    if [ -d "src/" ]; then
      find src/ -path '*/ci/*' \
        \( \
          -name '*.txt' \
          -o -name '*.toml' \
          -o -name '*traces*.yml' \
        \) \
        -exec cp -p {} artifacts/ \;
    fi
    cp -Rp .gitlab-ci/*.txt artifacts/
    
    if [ -n "$S3_ARTIFACT_NAME" ]; then
        # Pass needed files to the test stage
        S3_ARTIFACT_TAR="$S3_ARTIFACT_NAME.tar.zst"
        tar cv artifacts/ | zstd -o "${S3_ARTIFACT_TAR}"
        s3_upload "${S3_ARTIFACT_TAR}" "https://${PIPELINE_ARTIFACTS_BASE}/"
        rm "${S3_ARTIFACT_TAR}"
    fi
    
    section_end prepare-artifacts