```Python
print(user_dict)
```

würden wir ein Python-`dict` erhalten mit:

```Python
{
    'username': 'john',
    'password': 'secret',
    'email': '******@****.***',
    'full_name': None,
}
```

#### Ein `dict` entpacken { #unpacking-a-dict }

   *
   * @param reader input source
   * @param charset character set used for encoding chars to bytes
   * @param bufferSize size of internal input and output buffers
   * @throws IllegalArgumentException if bufferSize is non-positive
   */
  ReaderInputStream(Reader reader, Charset charset, int bufferSize) {
    this(
        reader,
        charset
            .newEncoder()
            .onMalformedInput(CodingErrorAction.REPLACE)

      }
    }
    return current;
  }

  /**
   * Returns the unique least value of type {@code C} that is greater than {@code value}, or {@code
   * null} if none exists. Inverse operation to {@link #previous}.
   *
   * @param value any value of type {@code C}
   * @return the least value greater than {@code value}, or {@code null} if {@code value} is {@code
   *     maxValue()}

`PUT`は、既存のデータを置き換えるべきデータを受け取るために使用されます。

### 置換についての注意 { #warning-about-replacing }

つまり、`PUT`を使用して以下のボディで項目`bar`を更新したい場合は:

```Python
{
    "name": "Barz",
    "price": 3,
    "description": None,
}
```

すでに格納されている属性`"tax": 20.2`を含まないため、入力モデルは`"tax": 10.5`のデフォルト値を取ります。

そして、データはその「新しい」`10.5`の`tax`と共に保存されます。

## `PATCH`による部分的な更新 { #partial-updates-with-patch }

 *
 * signed by intermediate certificate:
 *
 * Common Name: Entrust Certification Authority - L1M
 * Subject Alternative Names: none
 * Validity: 2014-12-15T15:25:03Z – 2030-10-15T15:55:03Z
 * Public Key: d081c13923c2b1d1ecf757dd55243691202248f7fcca520ab0ab3f33b5b08407f6df4e7ab0fb9822...

     */
    public boolean available() {
        final String llmType = getLlmType();
        if (Constants.NONE.equals(llmType)) {
            if (logger.isTraceEnabled()) {
                logger.trace("[LLM] LLM not available. llmType=none");
            }
            return false;
        }
        if (!isRagChatEnabled()) {
            if (logger.isTraceEnabled()) {

    as the API to read response trailers is unchanged. Testers may use this new stable API to
    supply trailers for a `Response`.

 *  New: `Path.asRequestBody()` is now a non-experimental API.

 *  New: `FileDescriptor.toRequestBody()` is now a non-experimental API.

 *  New: Stop using experimental coroutines APIs in our `okhttp-coroutines` artifact.

    SerializableTester.reserializeAndAssert(Floats.stringConverter());
  }

  public void testToArray() {
    // need explicit type parameter to avoid javac warning!?
    List<Float> none = Arrays.<Float>asList();
    assertThat(Floats.toArray(none)).isEqualTo(EMPTY);

    List<Float> one = Arrays.asList(1.0f);
    assertThat(Floats.toArray(one)).isEqualTo(ARRAY1);

    float[] array = {0.0f, 1.0f, 3.0f};

    SerializableTester.reserializeAndAssert(Floats.stringConverter());
  }

  public void testToArray() {
    // need explicit type parameter to avoid javac warning!?
    List<Float> none = Arrays.<Float>asList();
    assertThat(Floats.toArray(none)).isEqualTo(EMPTY);

    List<Float> one = Arrays.asList(1.0f);
    assertThat(Floats.toArray(one)).isEqualTo(ARRAY1);

    float[] array = {0.0f, 1.0f, 3.0f};

/// tip | Astuce

Comme Pydantic le sérialisera du côté **Rust**, vous obtiendrez une **performance** bien supérieure que si vous ne déclarez pas de type de retour.

///

### Fonctions de chemin d'accès non async { #non-async-path-operation-functions }

Vous pouvez aussi utiliser des fonctions `def` normales (sans `async`), et utiliser `yield` de la même façon.