],
                "msg": "Field required",
                "type": "missing",
            },
            {
                "input": None,
                "loc": [
                    "body",
                    "user",
                ],
                "msg": "Field required",
                "type": "missing",
            },
        ],
    }


def test_post_no_item(client: TestClient):

     */
    public static Locale getLocale(final String localeStr) {
        if (localeStr == null || localeStr.isEmpty()) {
            return LocaleUtil.getDefault();
        }

        // Use Java's built-in locale parsing which handles various formats
        // including language, language_country, and language_country_variant
        final String[] parts = localeStr.split("_", 3);

        switch (parts.length) {
        case 1:

import java.util.Map;

import javax.security.auth.kerberos.KerberosKey;

import jcifs.pac.PACDecodingException;

/**
 * Abstract base class for Kerberos authorization data.
 * This class provides parsing capabilities for different types of Kerberos authorization data.
 */
public abstract class KerberosAuthData {

    /**
     * Default constructor for KerberosAuthData.
     */
    protected KerberosAuthData() {

///

## Password hashing { #password-hashing }

"Hashing", bazı içerikleri (bu örnekte bir password) anlamsız görünen bir bayt dizisine (pratikte bir string) dönüştürmek demektir.

Aynı içeriği (aynı password'ü) her seferinde verirseniz, her seferinde aynı anlamsız çıktıyı elde edersiniz.

Ancak bu anlamsız çıktıdan geri password'e dönüştürme yapılamaz.

### Neden password hashing kullanılır { #why-use-password-hashing }

		}
		if !bytes.Equal(chunkSignature, tt.chunkSignature) {
			t.Errorf("Test %d: Expected %s, got %s", i+1, string(tt.chunkSignature), string(chunkSignature))
		}
	}
}

// Test parsing s3 chunk extension.
func TestParseS3ChunkExtension(t *testing.T) {
	type testCase struct {
		buf       []byte
		chunkSize []byte
		chunkSign []byte
	}

	tests := []testCase{
		// Test - 1 valid case.

import gradlebuild.docs.dsl.docbook.AssembleDslDocTask;
import gradlebuild.docs.dsl.source.ExtractDslMetaDataTask;

/**
 * Generates DSL reference material using Docbook and some homegrown class parsing.
 *
 * TODO: It would be nice to replace the Docbook portion of this with Asciidoc so that it could be
 * generated in the same way as the user manual with cross-links between them.
 */

 */
package jcifs.pac;

/**
 * Constants for PAC (Privilege Attribute Certificate) data structures.
 * Defines buffer types and other constants used in PAC parsing and validation.
 */
public interface PacConstants {

    /**
     * PAC structure version number.
     */
    int PAC_VERSION = 0;

    /**
     * Buffer type for user logon information.
     */

    }
  }

  /**
   * Returns an optional enum constant for the given type, using {@link Enum#valueOf}. If the
   * constant does not exist, {@link Optional#absent} is returned. A common use case is for parsing
   * user input or falling back to a default enum constant. For example, {@code
   * Enums.getIfPresent(Country.class, countryInput).or(Country.DEFAULT);}
   *
   * @since 12.0
   */

import org.codelibs.fess.suggest.entity.SuggestItem;
import org.codelibs.fess.suggest.index.contents.querylog.QueryLog;
import org.codelibs.fess.suggest.normalizer.Normalizer;

/**
 * Interface for parsing content and creating suggest items.
 */
public interface ContentsParser {
    /**
     * Parses the given search words and creates a SuggestItem.
     *
     * @param words the array of search words

                "input": {},
                "msg": "Field required",
                "type": "missing",
            },
            {
                "loc": ["body", "price"],
                "input": {},
                "msg": "Field required",
                "type": "missing",
            },
        ]
    }


def test_put_missing_required_in_item(client: TestClient):