private static class LockingThread extends Thread {
    final CountDownLatch locked = new CountDownLatch(1);
    final CountDownLatch finishLatch = new CountDownLatch(1);
    final Lock lock;

    LockingThread(Lock lock) {
      this.lock = lock;
    }

    @Override
    public void run() {
      lock.lock();
      try {
        locked.countDown();
        finishLatch.await(1, MINUTES);

        uses: astral-sh/setup-uv@v7
        with:
          enable-cache: true
          cache-dependency-glob: |
            pyproject.toml
            uv.lock
      - name: Install Dependencies
        run: uv sync --locked --no-dev --group github-actions
      # Allow debugging with tmate
      - name: Setup tmate session
        uses: mxschmitt/action-tmate@v3

        uses: astral-sh/setup-uv@v7
        with:
          enable-cache: true
          cache-dependency-glob: |
            pyproject.toml
            uv.lock
      - name: Install Dependencies
        run: uv sync --locked --no-dev --group github-actions
      # Allow debugging with tmate
      - name: Setup tmate session
        uses: mxschmitt/action-tmate@v3

# limitations under the License.
# ==============================================================================
#
# Windows-specific utilities.
#

# Docker on Windows has difficulty using volumes other than C:\, when it comes
# to setting up up volume mappings.
# Thus, the drive letter is replaced with the passed prefix.

          values:
            - centos-8-packaging
            - ubuntu-20.04-packaging
      - axis:
          type: user-defined
          name: PACKAGING_TASK
          values:
            - 'destructiveDistroTest.docker'
            - 'destructiveDistroTest.packages'
            - 'destructiveDistroTest.archives'
    builders:
      - inject:
          properties-file: '.ci/java-versions.properties'
          properties-content: |

TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_cpu
TFCI_BUILD_PIP_PACKAGE_WHEEL_NAME_ARG="--repo_env=WHEEL_NAME=tensorflow_cpu"
TFCI_DOCKER_ENABLE=1
TFCI_DOCKER_IMAGE=us-docker.pkg.dev/ml-oss-artifacts-published/ml-public-container/ml-build:latest
TFCI_DOCKER_PULL_ENABLE=1
TFCI_DOCKER_REBUILD_ARGS="--target=devel ci/official/containers/ml_build"
TFCI_INDEX_HTML_ENABLE=1

- kubeadm now attempts to detect an installed CRI by its usual domain socket, so that `--cri-socket` can be omitted from the command line if Docker is not used and there is a single CRI installed. ([#69366](https://github.com/kubernetes/kubernetes/pull/69366), [@rosti](https://github.com/rosti))

# despite lacking Nvidia CUDA support.
TFCI_BUILD_PIP_PACKAGE_WHEEL_NAME_ARG="--repo_env=WHEEL_NAME=tensorflow"
TFCI_DOCKER_ENABLE=1
TFCI_DOCKER_IMAGE=us-docker.pkg.dev/ml-oss-artifacts-published/ml-public-container/ml-build-arm64:latest
TFCI_DOCKER_PULL_ENABLE=1
TFCI_DOCKER_REBUILD_ARGS="--target=tf ci/official/containers/ml_build_arm64"
TFCI_INDEX_HTML_ENABLE=1

        uses: astral-sh/setup-uv@v7
        with:
          enable-cache: true
          cache-dependency-glob: |
            pyproject.toml
            uv.lock
      - name: Install Dependencies
        run: uv sync --locked --no-dev --group github-actions
      # Allow debugging with tmate
      - name: Setup tmate session
        uses: mxschmitt/action-tmate@v3

        uses: astral-sh/setup-uv@v7
        with:
          enable-cache: true
          cache-dependency-glob: |
            pyproject.toml
            uv.lock
      - name: Install Dependencies
        run: uv sync --locked --no-dev --group github-actions
      # Allow debugging with tmate
      - name: Setup tmate session
        uses: mxschmitt/action-tmate@v3