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)

    /**
     * Parses the given query log and returns a list of suggest items.
     *
     * @param queryLog the query log to parse
     * @param fields the fields to extract from the query log
     * @param tagFieldNames the names of the fields to use as tags
     * @param roleFieldName the name of the field to use for roles
     * @param readingConverter the converter to use for reading values

        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

# 2. tf_nightly-a.b.c.devYYYYMMDD-py3-none-any.whl
pure_python_whl=$(ls "$TFCI_OUTPUT_DIR"/*py3-none-any*)
pure_python_whl=$(basename "${pure_python_whl}")

# Extract the package name from the wheel name. That is, extract every character
# before the pattern "-py3-" in the wheel name.
pkg_name=$(echo "${pure_python_whl}" | awk -F'-py3-' '{print $1}')

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 */

Using the below example document:
<img width="85%" src="https://bradley.codes/static/img/jstream-levels.gif" alt="jstream"/>

we can choose to extract and act only the objects within the top-level array:
```go
f, _ := os.Open("input.json")
decoder := jstream.NewDecoder(f, 1) // extract JSON values at a depth level of 1
for mv := range decoder.Stream() {
  fmt.Printf("%v\n ", mv.Value)
}
```

output:
```

        String encodedFieldName = BaseEncoding.base64().encode(originalFieldName.getBytes(StandardCharsets.UTF_8));
        String fullFieldName = Constants.FACET_FIELD_PREFIX + encodedFieldName;

        // Extract the encoded part
        String extractedEncoded = fullFieldName.substring(Constants.FACET_FIELD_PREFIX.length());
        assertEquals(encodedFieldName, extractedEncoded);

        // Decode back to original

 * be used to decide whether to apply a test to a given class-under-test.
 *
 * <p>This is needed because annotations can't implement interfaces, which is also why reflection is
 * used to extract values from the properties of the various annotations.
 *
 * @author George van den Driessche
 */
@Target(value = {ElementType.ANNOTATION_TYPE})
@Retention(value = RetentionPolicy.RUNTIME)
@Documented
@GwtCompatible

 * be used to decide whether to apply a test to a given class-under-test.
 *
 * <p>This is needed because annotations can't implement interfaces, which is also why reflection is
 * used to extract values from the properties of the various annotations.
 *
 * @author George van den Driessche
 */
@Target(value = {ElementType.ANNOTATION_TYPE})
@Retention(value = RetentionPolicy.RUNTIME)
@Documented
@GwtCompatible

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`: