/**
     * Sets the optional preprocessor for configuration values.
     *
     * @param valuePreprocessor The preprocessor for configuration values, may be {@code null} if unneeded.
     * @return This request for chaining, never {@code null}.
     */
    BeanConfigurationRequest setValuePreprocessor(BeanConfigurationValuePreprocessor valuePreprocessor);

    /**

            handleFileUploadException(e);
        }
    }

    protected void prepareElementsHash() { // traditional name
        // #thinking jflute might lazy-loaded be unneeded? because created per request (2024/09/08)
        elementsAll = new HashMap<>();
        elementsText = new HashMap<>();
        elementsFile = new HashMap<>();
    }

			"-ferror-limit=0",
			// Apple clang version 1.7 (tags/Apple/clang-77) (based on LLVM 2.9svn)
			// doesn't have -Wno-unneeded-internal-declaration, so we need yet another
			// flag to disable the warning. Yes, really good diagnostics, clang.
			"-Wno-unknown-warning-option",
			"-Wno-unneeded-internal-declaration",
			"-Wno-unused-function",
			"-Qunused-arguments",
			// Clang embeds prototypes for some builtin functions,

- Fixes the bug in PodTopologySpread that only happens with QHint enabled, 

   ([#122614](https://github.com/kubernetes/kubernetes/pull/122614), [@tnqn](https://github.com/tnqn))
- kubeadm: fixed a bug where "kubeadm upgrade plan -o yaml|json" included unneeded output and was missing component config information.
   ([#123492](https://github.com/kubernetes/kubernetes/pull/123492), [@carlory](https://github.com/carlory))

    /**
     * Persists any data needed to resume the build at a later point in time, using a new Maven invocation. This method
     * may also decide it is not needed or meaningful to persist such data, and return <code>false</code> to indicate
     * so.
     *
     * @param rootProject The root project that is being built.
     * @param buildResumptionData Information needed to resume the build.

     * This method will be called on each file model being loaded,
     * just before validation.
     *
     * @param model the input model
     * @return the transformed model, or the input model if no transformation is needed
     * @throws ModelTransformerException
     */
    @Nonnull
    default Model transformFileModel(@Nonnull Model model) throws ModelTransformerException {
        return model;
    }

    /**

CONDITIONAL_HOST_MOUNTS="${CONDITIONAL_HOST_MOUNTS:-} "
container_kubeconfig=''

# docker conditional host mount (needed for make docker push)
if [[ -d "${HOME}/.docker" ]]; then
  CONDITIONAL_HOST_MOUNTS+="--mount type=bind,source=${HOME}/.docker,destination=/config/.docker,readonly "
fi

# gcloud conditional host mount (needed for docker push with the gcloud auth configure-docker)
if [[ -d "${HOME}/.config/gcloud" ]]; then

  analysis:
    if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks
    name: Scorecards analysis
    runs-on: ubuntu-latest
    permissions:
      # Needed to upload the results to code-scanning dashboard.
      security-events: write
      # Needed to publish results and get a badge (see publish_results below).
      id-token: write

    steps:
      - name: "Checkout code"

# That will prepare the files and create the commit.
#
# To review such a commit (as the reviewer), use:
#
#	git codereview change NNNNNN   # CL number
#	cd lib/time
#	./update.bash
#
# If it prints "No updates needed.", then the generated files
# in the CL match the update.bash in the CL.

# Versions to use.
CODE=2024b
DATA=2024b

set -e

cd $(dirname $0)
rm -rf work
mkdir work