You can use the attribute `model_config` that takes a `dict` as described in <a href="https://docs.pydantic.dev/latest/api/config/" class="external-link" target="_blank">Pydantic's docs: Configuration</a>.

You can set `"json_schema_extra"` with a `dict` containing any additional data you would like to show up in the generated JSON Schema, including `examples`.

/// tip

            throw new DcerpcException("Invalid binding URL: " + str);
        }

        return binding;
    }

    /**
     * The DCERPC binding configuration for this handle
     */
    protected DcerpcBinding binding;
    /**
     * Maximum transmit buffer size for DCERPC messages
     */
    protected int max_xmit = 4280;
    /**

      exercising permissions granted by this License.

      "Source" form shall mean the preferred form for making modifications,
      including but not limited to software source code, documentation
      source, and configuration files.

      "Object" form shall mean any form resulting from mechanical
      transformation or translation of a Source form, including but
      not limited to compiled object code, generated documentation,

        destoryTimer = new Timer("CommandGeneratorDestoryTimer-" + ComponentUtil.getSystemHelper().getCurrentTimeAsLong(), true);
        updateProperties();
    }

    /**
     * Updates timeout properties from system configuration.
     */
    protected void updateProperties() {
        final FessConfig fessConfig = ComponentUtil.getFessConfig();
        final String commandTimeoutStr = fessConfig.getSystemProperty("thumbnail.command.timeout");

 * and manage various types of settings such as array settings, analyzer settings, bad word settings,
 * and elevate word settings.</p>
 *
 * <p>It also includes a nested TimeoutSettings class to manage various timeout configurations.</p>
 *
 * <p>Usage example:</p>
 * <pre>
 * {@code
 * Client client = ...;
 * Map<String, Object> initialSettings = ...;
 * SuggestSettings.TimeoutSettings timeoutSettings = new SuggestSettings.TimeoutSettings();

TensorFlow's official CI jobs run the scripts in this folder. Our internal CI
system, Kokoro, schedules our CI jobs by combining a build script with a file
from the `envs` directory that is filled with configuration options:

-   Nightly jobs (Run nightly on the `nightly` branch)
    -   Uses `wheel.sh`, `libtensorflow.sh`, `code_check_full.sh`
-   Continuous jobs (Run on every GitHub commit)
    -   Uses `pycpp.sh`

	configurePeerFn := func(d string, peer madmin.PeerInfo) error {
		// Create bucket replication rule to this peer.

		// To add the bucket replication rule, we fetch the current
		// server configuration, and convert it to minio-go's
		// replication configuration type (by converting to xml and
		// parsing it back), use minio-go's add rule function, and
		// finally convert it back to the server type (again via xml).

labels.handler_script=Script
labels.data_crawling_button_create=Create
labels.data_crawling_button_create_job=Create New Job
labels.wizard_title_configuration=Configuration Wizard
labels.wizard_start_title=Easy Setup
labels.wizard_start_desc=You can create a crawl setting easily by using Configuration Wizard.
labels.wizard_start_button=Start Setup
labels.wizard_button_cancel=Cancel
labels.wizard_crawling_config_title=Crawl Config

 
#### Configuration file changes:

#### kube-apiserver:

		if len(format.Erasure.Sets) > 1 {
			continue
		}
		if format.Erasure.This == "" {
			return true
		}
	}
	return false
}

// fixFormatErasureV3 - fix format Erasure configuration on all disks.
func fixFormatErasureV3(storageDisks []StorageAPI, endpoints Endpoints, formats []*formatErasureV3) error {
	g := errgroup.WithNErrs(len(formats))
	for i := range formats {
		g.Go(func() error {