line, col int
	Key       string `yaml:"key" json:"key"`
	Value     string `yaml:"value" json:"value"`
}

var _ yaml.Unmarshaler = &BatchJobKV{}

// UnmarshalYAML - BatchJobKV extends default unmarshal to extract line, col information.
func (kv *BatchJobKV) UnmarshalYAML(val *yaml.Node) error {
	type jobKV BatchJobKV
	var tmp jobKV
	err := val.Decode(&tmp)
	if err != nil {
		return err
	}
	*kv = BatchJobKV(tmp)

        ByteBuffer bb = ByteBuffer.wrap(result).order(java.nio.ByteOrder.LITTLE_ENDIAN);

        long mostSig = guid.getMostSignificantBits();
        long leastSig = guid.getLeastSignificantBits();

        // Extract GUID components from UUID
        int data1 = (int) (mostSig >>> 32); // first 4 bytes
        short data2 = (short) (mostSig >>> 16); // next 2 bytes
        short data3 = (short) mostSig; // next 2 bytes

import org.codelibs.jcifs.smb.SID;

import jakarta.annotation.Resource;

/**
 * Helper class for handling permission-related operations in Fess.
 * Provides functionality to encode/decode permission strings and extract
 * role type information from various file system protocols (SMB, file, FTP).
 */
public class PermissionHelper {
    /** Logger instance for this class */

Declare the **query parameters** that you need in a **Pydantic model**, and then declare the parameter as `Query`:

{* ../../docs_src/query_param_models/tutorial001_an_py310.py hl[9:13,17] *}

**FastAPI** will **extract** the data for **each field** from the **query parameters** in the request and give you the Pydantic model you defined.

## Check the Docs { #check-the-docs }

You can see the query parameters in the docs UI at `/docs`:

      try {
        return extract();
      } finally {
        monitor.leave();
      }
    } else {
      return null;
    }
  }

  @CanIgnoreReturnValue
  @Override
  public E take() throws InterruptedException {
    Monitor monitor = this.monitor;
    monitor.enterWhen(notEmpty);
    try {
      return extract();
    } finally {
      monitor.leave();
    }

     */
    public static Coordinates extractArtifactCoordinatesWithParentResolution(
            UpgradeContext context, Document pomDocument) {
        Element root = pomDocument.root();

        // Extract direct values
        String groupId = root.childTextTrimmed(MavenPomElements.Elements.GROUP_ID);
        String artifactId = root.childTextTrimmed(MavenPomElements.Elements.ARTIFACT_ID);

    }

    /**
     * Gets a typed value from a document map with a default value.
     *
     * @param <T> the type to convert the value to
     * @param doc the document map to extract the value from
     * @param key the key to look up in the document map
     * @param clazz the class type to convert the value to
     * @param defaultValue the default value to return if the key is not found or conversion fails

	if metadata {
		checkObjMeta = func(name string, action policy.Action) (s3Err APIErrorCode) {
			return checkRequestAuthType(ctx, r, action, bucket, name)
		}
	}
	urlValues := r.Form

	// Extract all the listBucketVersions query params to their native values.
	prefix, marker, delimiter, maxkeys, encodingType, versionIDMarker, errCode := getListBucketObjectVersionsArgs(urlValues)
	if errCode != ErrNone {

    override fun close() {
        val projectPathToLeftoverFiles = mutableMapOf<String, LeftoverFiles>()
        // First run: delete any temporary directories used to extract resources from jars
        projectStates.values.forEach { projectState ->
            cleanUp(projectState.tmpExtractedResourcesDirs())
        }

        // Second run: collect and archive leftover files

And you could do this even if the data type in the request is not JSON.

For example, in this application we don't use FastAPI's integrated functionality to extract the JSON Schema from Pydantic models nor the automatic validation for JSON. In fact, we are declaring the request content type as YAML, not JSON: