- Added `allocatedResources` field to container status in pod status that describes the node resources allocated to a pod.
  - Added `resources` field to container status that reports actual resources applied to running containers.
  - Added `resize` field to pod status that describes the state of a requested pod resize.

            final ASN1EncodableVector fields = new ASN1EncodableVector();
            final int res = getResult();
            if (res != UNSPECIFIED_RESULT) {
                fields.add(new DERTaggedObject(true, 0, new ASN1Enumerated(res)));
            }
            final ASN1ObjectIdentifier mech = getMechanism();
            if (mech != null) {
                fields.add(new DERTaggedObject(true, 1, mech));
            }

      - "https://server4-pool1:9000/mnt/disk{1...4}/"
    set-drive-count: 4 # Advanced option, must be used under guidance from MinIO team.
```

### Things to know

- Fields such as `version` and `pools` are mandatory, however all other fields are optional.
- Each pool expects a minimum of 2 nodes per pool, and unique non-repeating hosts for each argument.

  @Throws(IOException::class)
  fun createRequestBody(
    request: Request,
    contentLength: Long,
  ): Sink

  /** This should update the HTTP engine's sentRequestMillis field. */
  @Throws(IOException::class)
  fun writeRequestHeaders(request: Request)

  /** Flush the request to the underlying socket. */
  @Throws(IOException::class)
  fun flushRequest()

    }

    private void setValueToObject(Object obj, String name, Object value) {
        Field field = ClassUtil.getDeclaredField(obj.getClass(), name);
        field.setAccessible(true);
        FieldUtil.set(field, obj, value);
    }

    public void test_pruneNode() throws Exception {

        // Test that the exception is serializable
        ScheduledJobException exception = new ScheduledJobException("Serialization test");

        // Verify that the exception has serialVersionUID field (won't compile if not present)
        assertTrue(exception instanceof java.io.Serializable);
    }

    public void test_longMessage() {
        // Test with very long message

```JSON
{
  "detail": [
    {
      "type": "missing",
      "loc": [
        "query",
        "needy"
      ],
      "msg": "Field required",
      "input": null
    }
  ]
}
```

Da `needy` ein erforderlicher Parameter ist, müssen Sie ihn in der URL setzen:

```
http://127.0.0.1:8000/items/foo-item?needy=sooooneedy
```

En ese caso, simplemente puedes intercambiar los `dataclasses` estándar con `pydantic.dataclasses`, que es un reemplazo directo:

{* ../../docs_src/dataclasses/tutorial003.py hl[1,5,8:11,14:17,23:25,28] *}

1. Todavía importamos `field` de los `dataclasses` estándar.

2. `pydantic.dataclasses` es un reemplazo directo para `dataclasses`.

3. El dataclass `Author` incluye una lista de dataclasses `Item`.

```{ .python .annotate hl_lines="1  5  8-11  14-17  23-25  28" }
{!../../docs_src/dataclasses/tutorial003.py!}
```

1. Ainda importamos `field` das `dataclasses` padrão.

2. `pydantic.dataclasses` é um substituto direto para `dataclasses`.

3. A dataclass `Author` inclui uma lista de dataclasses `Item`.

```

...🍵 ❎ ✔ 🔢 `needy`, 👆 🔜 👀 ❌ 💖:

```JSON
{
    "detail": [
        {
            "loc": [
                "query",
                "needy"
            ],
            "msg": "field required",
            "type": "value_error.missing"
        }
    ]
}
```

`needy` 🚚 🔢, 👆 🔜 💪 ⚒ ⚫️ 📛:

```
http://127.0.0.1:8000/items/foo-item?needy=sooooneedy
```