}
    }

    @Nested
    @DisplayName("Constant Value Tests")
    class ConstantValueTests {

        @Test
        @DisplayName("Should have correct constant values")
        void testConstantValues() {
            assertEquals(0x1, PreauthIntegrityNegotiateContext.NEGO_CTX_PREAUTH_TYPE);
            assertEquals(0x1, PreauthIntegrityNegotiateContext.HASH_ALGO_SHA512);
        }

CommandLineParser$OptionParserState { public final CommandLineParser$OptionString optionString; public final CommandLineOption option; public final ParsedCommandLine commandLine; public final CommandLineParser$ParserState state; public final java.util.ArrayList values; public void CommandLineParser$KnownOptionParserSta(CommandLineParser$OptionString, CommandLineOption, ParsedCommandLine, CommandLineParser$ParserState); public final CommandLineParser$ParserState onArgument(String); public final CommandLineParser$ParserState...

 * If you use masked losses with Keras the loss values may be different in TensorFlow `2.12` compared to previous versions.

  slightly stricter about what values will be accepted as IP addresses and network
  address ranges (“CIDR blocks”).
  
  In particular, octets within IPv4 addresses are not allowed to have any leading
  `0`s, and IPv4-mapped IPv6 values (e.g. `::ffff:192.168.0.1`) are forbidden.
  These sorts of values can potentially cause security problems when different

    private static final Logger log = LoggerFactory.getLogger(SmbComNegotiateResponse.class);

    private int dialectIndex;

    /* Negotiated values */
    private final ServerData server;
    private int negotiatedFlags2;
    private int maxMpxCount;
    private int snd_buf_size;
    private int recv_buf_size;
    private int tx_buf_size;

        }
    }

    @Nested
    @DisplayName("Happy path behavior")
    class HappyPath {
        @Test
        @DisplayName("All getters return configured values and MIC roundtrips")
        void testAllMethodsHappyPath() throws Exception {
            // Arrange
            ASN1ObjectIdentifier mech1 = new ASN1ObjectIdentifier("1.2.840.113554.1.2.2"); // Kerberos V5

        </field>
        <field>
          <name>checksumPolicy</name>
          <version>1.0.0</version>
          <description>
            What to do when verification of an artifact checksum fails. Valid values are "fail" (default for Maven 4 and
            above), "warn" (default for Maven 3) or "ignore".
          </description>
          <type>String</type>
        </field>
      </fields>
    </class>
    <class>

        public int compare(String o1, String o2) {
          return o1.length() - o2.length();
        }
      };

  /** Test a TreeMultiset with a comparator that can return 0 when comparing unequal values. */
  public void testDegenerateComparator() throws Exception {
    TreeMultiset<String> ms = TreeMultiset.create(DEGENERATE_COMPARATOR);

    ms.add("foo");
    ms.add("a");
    ms.add("bar");
    ms.add("b");

{* ../../docs_src/path_params/tutorial003b_py39.py hl[6,11] *}

Die erste Definition wird immer verwendet werden, da ihr Pfad zuerst übereinstimmt.

## Vordefinierte Parameterwerte { #predefined-values }

Wenn Sie eine *Pfadoperation* haben, welche einen *Pfad-Parameter* hat, aber Sie wollen, dass dessen gültige Werte vordefiniert sind, können Sie ein Standard-Python <abbr title="Enumeration">`Enum`</abbr> verwenden.

{
    "name": "Bar",
    "description": "The bartenders",
    "price": 62,
    "tax": 20.2
}
```

응답에 해당 값들이 포함됩니다.

#### 기본값과 동일한 값을 갖는 데이터

If the data has the same values as the default ones, like the item with ID `baz`:
ID가 `baz`인 항목(items)처럼 기본값과 동일한 값을 갖는다면:

```Python hl_lines="3  5-6"
{
    "name": "Baz",
    "description": None,
    "price": 50.2,
    "tax": 10.5,