.isNotEqualTo(InetAddresses.forString("1.2.3.4"));

    // 2 6to4 addresses differing in the embedded IPv4 address should
    // hash to the different values.
    assertThat(InetAddresses.getCoercedIPv4Address(InetAddresses.forString("2002:0102:0304::1")))
        .isNotEqualTo(
            InetAddresses.getCoercedIPv4Address(InetAddresses.forString("2002:0506:0708::1")));

    }

    @Override
    public L getAt(int index) {
      if (size != Integer.MAX_VALUE) {
        Preconditions.checkElementIndex(index, size());
      } // else no check necessary, all index values are valid
      ArrayReference<? extends L> existingRef = locks.get(index);
      L existing = existingRef == null ? null : existingRef.get();
      if (existing != null) {
        return existing;
      }

    LinkedList referrals = new LinkedList();
    SigningDigest digest = null;
    LinkedList sessions = new LinkedList();
    ServerData server = new ServerData();
    /* Negotiated values */
    int flags2 = FLAGS2;
    int maxMpxCount = MAX_MPX_COUNT;
    int snd_buf_size = SND_BUF_SIZE;
    int rcv_buf_size = RCV_BUF_SIZE;
    int capabilities = CAPABILITIES;
    int sessionKey = 0x00000000;

    specify the timeout of an individual call.

 *  New: Return values and fields are now non-null unless otherwise annotated.
 *  New: `LoggingEventListener` makes it easy to get basic visibility into a call's performance.
    This class is in the `logging-interceptor` artifact.
 *  New: `Headers.Builder.addUnsafeNonAscii()` allows non-ASCII values to be added without an
    immediate exception.

<div class="termy">

```console
$ python -m venv env
```

</div>

Cela va créer un répertoire `./env/` avec les binaires Python et vous pourrez alors installer des paquets pour cet environnement isolé.

### Activer l'environnement

Activez le nouvel environnement avec :

//// tab | Linux, macOS

<div class="termy">

```console

    * Utilise les modèles hiérarchique de Pydantic, le `typage` Python pour les `Lists`, `Dict`, etc.
    * Et les validateurs permettent aux schémas de données complexes d'être clairement et facilement définis, validés et documentés sous forme d'un schéma JSON.
    * Vous pouvez avoir des objets **JSON fortement imbriqués** tout en ayant, pour chacun, de la validation et des annotations.
* **Renouvelable**:

        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");

{
    "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,

        </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 2 and 3) or "ignore".
          </description>
          <type>String</type>
        </field>
      </fields>
    </class>

  const FunctionDef assert_and_collective = FunctionDefHelper::Define(
      // Name
      "AssertAndCollective",
      // Args
      {"x: float", "condition: bool"},
      // Return values
      {"y: float"},
      // Attr def
      {},
      // Nodes
      {
          {{"assert"},
           "Assert",
           {"condition", "x"},
           {{"T", std::vector<DataType>{DT_FLOAT}}}},