+ Clearly describe the issue, including steps to reproduce when it is a bug.
  + Make sure you fill in the earliest version that you know has the issue.
+ Fork the repository on GitHub.

Making and Submitting Changes
--------------

We accept Pull Requests via GitHub. The [developer mailing list][dev-ml-list] is the
main channel of communication for contributors.  

- Ensured memory resizing for Guaranteed QoS pods on static Memory policy configurations was gated by `InPlacePodVerticalScalingExclusiveMemory` (defaults: `false`). ([#132473](https://github.com/kubernetes/kubernetes/pull/132473), [@pravk03](https://github.com/pravk03)) [SIG Node, Scheduling and Testing]

        Field opCodeField = NameServicePacket.class.getDeclaredField("opCode");
        opCodeField.setAccessible(true);
        opCodeField.set(nameQueryResponse, 7); // WACK opCode, which is not QUERY (0)

        // Ensure 'resultCode' is 0 for this test to isolate opCode condition
        Field resultCodeField = NameServicePacket.class.getDeclaredField("resultCode");
        resultCodeField.setAccessible(true);

    your desired version—for example, `r2.8` for version 2.8.
*   Apply the desired changes (i.e., cherry-pick them) and resolve any code
    conflicts.
*   Run TensorFlow tests and ensure they pass.
*   [Build](https://www.tensorflow.org/install/source) the TensorFlow pip
    package from source.

## Continuous build status

You can find more community-supported platforms and configurations in the

                                childKey = child.getKey();

                                if (managedVersions.containsKey(childKey)) {
                                    // If this child node is a managed dependency, ensure
                                    // we are using the dependency management version
                                    // of this child if applicable b/c we want to use the

// Sets XLA's minimum cluster size. This has global effect.
TF_CAPI_EXPORT void TF_SetXlaMinClusterSize(int size);

// Gets/Sets TF/XLA flag for whether(true) or not(false) to disable constant
// folding. This is for testing to ensure that XLA is being tested rather than
// Tensorflow's CPU implementation through constant folding.
TF_CAPI_EXPORT unsigned char TF_GetXlaConstantFoldingDisabled();
TF_CAPI_EXPORT void TF_SetXlaConstantFoldingDisabled(

        sb.append(dm).append(threadName);
        sb.append(dm).append(url);
        if (sb.length() > dm.length()) {
            sb.delete(0, dm.length());
        }
        sb.insert(0, "{").append("}");
        return sb.toString();
    }

    // ===================================================================================

    // make sure that no exception is thrown regardless of value of
    // 'swallowException' when the mock does not throw an exception.
    setupCloseable(false);
    doClose(mockCloseable, false, false);

    setupCloseable(false);
    doClose(mockCloseable, true, false);
  }

  public void testClose_closeableWithEatenException() throws IOException {

            this.initParamMap = initParamMap;
        }

        /**
         * Executes the crawling thread.
         * Sets the running flag, processes the data store, and ensures
         * proper cleanup regardless of success or failure.
         */
        @Override
        public void run() {
            running = true;
            try {
                process();

        return OptionalEntity.of(list.get(0));
    }

    /**
     * Stores a file configuration in the database.
     * This method encrypts the configuration parameters before saving and
     * performs an insert or update operation based on whether the configuration exists.
     *
     * @param fileConfig the file configuration to be stored
     */
    public void store(final FileConfig fileConfig) {