response = client.put(
        "/items/123",
        json={"name": "Foo", "price": 50.1, "description": "Some Foo", "tax": 0.3},
    )
    assert response.status_code == 200
    assert response.json() == {
        "item_id": 123,
        "name": "Foo",
        "price": 50.1,
        "description": "Some Foo",
        "tax": 0.3,
    }


def test_put_only_required(client: TestClient):
    response = client.put(

  - [Changelog since v1.19.9](#changelog-since-v1199)
  - [Important Security Information](#important-security-information-1)
    - [CVE-2021-25735: Validating Admission Webhook does not observe some previous fields](#cve-2021-25735-validating-admission-webhook-does-not-observe-some-previous-fields)
  - [Changes by Kind](#changes-by-kind-6)
    - [API Change](#api-change-1)
    - [Feature](#feature-4)
    - [Bug or Regression](#bug-or-regression-5)

```json
{
    "description": "Some data",
    "data": "aGVsbG8="
}
```

/// tip | Совет

`aGVsbG8=` — это base64-кодирование строки `hello`.

///

Затем Pydantic декодирует строку base64 и передаст вам исходные байты в поле `data` модели.

Вы получите такой HTTP-ответ:

```json
{
  "description": "Some data",
  "content": "hello"
}
```

Podrías enviar un request como:

```json
{
    "description": "Some data",
    "data": "aGVsbG8="
}
```

/// tip | Consejo

`aGVsbG8=` es la codificación base64 de `hello`.

///

Y luego Pydantic decodificará el string base64 y te dará los bytes originales en el campo `data` del modelo.

Recibirás una response como:

```json
{
  "description": "Some data",
  "content": "hello"
}
```

                "price": 0.2,
                "description": "Some bar",
                "tax": "5.4",
            }
        },
    )
    assert response.status_code == 200
    assert response.json() == {
        "item_id": 6,
        "item": {
            "name": "Bar",
            "price": 0.2,
            "description": "Some bar",
            "tax": 5.4,
        },
    }

      }

      @Override
      public boolean removeAll(Collection<?> c) {
        /*
         * We can't inherit the normal implementation (which calls
         * Sets.removeAllImpl(Set, *Collection*)) because, under some
         * circumstances, it attempts to call columnKeySet().iterator().remove,
         * which is unsupported.
         */
        checkNotNull(c);
        return Sets.removeAllImpl(this, c.iterator());
      }

            buffer[errorStart + 2] = 1; // error context count
            SMBUtil.writeInt4(4, buffer, errorStart + 4); // byte count

            // Write some error data
            buffer[errorStart + 8] = (byte) 0xFF;
            buffer[errorStart + 9] = (byte) 0xFE;
            buffer[errorStart + 10] = (byte) 0xFD;
            buffer[errorStart + 11] = (byte) 0xFC;

                "price": 50.5,
                "description": "Some Foo",
                "tax": 0.1,
            },
        },
    )
    assert response.status_code == 200
    assert response.json() == {
        "item_id": 5,
        "item": {
            "name": "Foo",
            "price": 50.5,
            "description": "Some Foo",
            "tax": 0.1,
        },
    }

- Fixes a problem with 63-second or 1-second connection delays with some VXLAN-based
  network plugins which was first widely noticed in 1.16 (though some users saw it
  earlier than that, possibly only with specific network plugins). If you were previously
  using ethtool to disable checksum offload on your primary network interface, you should

```json
{
    "description": "Some data",
    "data": "aGVsbG8="
}
```

/// tip | Astuce

`aGVsbG8=` est l'encodage base64 de `hello`.

///

Pydantic décodera ensuite la chaîne base64 et vous fournira les octets originaux dans le champ `data` du modèle.

Vous recevrez une réponse comme :

```json
{
  "description": "Some data",
  "content": "hello"
}
```