Você pode fazer isso usando o <a href="https://docs.pydantic.dev/latest/concepts/validators/#field-after-validator" class="external-link" target="_blank">`AfterValidator` do Pydantic</a> dentro de `Annotated`.

/// tip | Dica

O Pydantic também tem <a href="https://docs.pydantic.dev/latest/concepts/validators/#field-before-validator" class="external-link" target="_blank">`BeforeValidator`</a> e outros. 🤓

///

{* ../../docs_src/request_files/tutorial001_03_an_py39.py hl[9,15] *}

## Завантаження Кількох Файлів

Можна завантажувати кілька файлів одночасно.

Вони будуть пов’язані з одним і тим самим "form field", який передається у вигляді "form data".

Щоб це реалізувати, потрібно оголосити список `bytes` або `UploadFile`:

{* ../../docs_src/request_files/tutorial002_an_py39.py hl[10,15] *}

- The `metadata.clusterName` field is completely removed. This should not have any user-visible impact. ([#109602](https://github.com/kubernetes/kubernetes/pull/109602), [@lavalamp](https://github.com/lavalamp))

      metadata.is_list = 1;
      metadata.list_size = 0;
      metadata.total_size = -1;
#define LIST_CASE(field, attr_type, ...)              \
  if (attr->list().field##_size() > 0) {              \
    metadata.type = attr_type;                        \
    metadata.list_size = attr->list().field##_size(); \
    __VA_ARGS__;                                      \
    break;                                            \

     * <code>SystemStreamLog</code> logger will be created and returned.
     * </p>
     * <strong>Note:</strong>
     * The logger returned by this method must not be cached in an instance field during the construction of the mojo.
     * This would cause the mojo to use a wrongly configured default logger when being run by Maven. The proper logger

  assertEquals("/v1/chat/messages/3", request3.url.encodedPath)

  // Shut down the server. Instances cannot be reused.
  server.close()
}
```

Your unit tests might move the `server` into a field so you can shut it down
from your test's `tearDown()`.

### API

#### MockResponse

Mock responses default to an empty response body and a `200` status code.

You can also declare a response using a plain arbitrary `dict`, declaring just the type of the keys and values, without using a Pydantic model.

This is useful if you don't know the valid field/attribute names (that would be needed for a Pydantic model) beforehand.

In this case, you can use `typing.Dict` (or just `dict` in Python 3.9 and above):

{* ../../docs_src/extra_models/tutorial005_py39.py hl[6] *}

## Multiple File Uploads { #multiple-file-uploads }

It's possible to upload several files at the same time.

They would be associated to the same "form field" sent using "form data".

To use that, declare a list of `bytes` or `UploadFile`:

{* ../../docs_src/request_files/tutorial002_an_py39.py hl[10,15] *}

* [stable] Mount options

  * The ability to specify mount options for volumes is moved from beta to stable.

  * A new `MountOptions` field in the `PersistentVolume` spec is available to specify mount options. This field replaces an annotation.

  * A new `MountOptions` field in the `StorageClass` spec allows configuration of mount options for dynamically provisioned volumes.

				if isDeprecated(n.Doc) {
					for _, id := range n.Names {
						mark(id)
					}
				}
				return false
			case *ast.Field:
				if isDeprecated(n.Doc) {
					for _, id := range n.Names {
						mark(id)
					}
					if len(n.Names) == 0 {
						// embedded field T or *T?
						typ := n.Type
						if ptr, ok := typ.(*ast.StarExpr); ok {
							typ = ptr.X
						}