Prefer to use the `Annotated` version if possible.

///

```Python hl_lines="9-12  16"
{!> ../../docs_src/cookie_param_models/tutorial001.py!}
```

////

**FastAPI** will **extract** the data for **each field** from the **cookies** received in the request and give you the Pydantic model you defined.

## Check the Docs

You can see the defined cookies in the docs UI at `/docs`:

<div class="screenshot">

// IsNull returns if both NoncurrentDays and NoncurrentVersions are empty
func (n NoncurrentVersionExpiration) IsNull() bool {
	return n.IsDaysNull() && n.NewerNoncurrentVersions == 0
}

// IsDaysNull returns true if days field is null
func (n NoncurrentVersionExpiration) IsDaysNull() bool {
	return n.NoncurrentDays == ExpirationDays(0)
}

// Validate returns an error with wrong value
func (n NoncurrentVersionExpiration) Validate() error {

```{ .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`.

  optional k8s.io.apimachinery.pkg.apis.meta.v1.ObjectMeta metadata = 1;

  // Rules holds all the PolicyRules for this ClusterRole
  // +optional
  repeated PolicyRule rules = 2;

  // AggregationRule is an optional field that describes how to build the Rules for this ClusterRole.
  // If AggregationRule is set, then the Rules are controller managed and direct changes to Rules will be
  // stomped by the controller.
  // +optional

    public interface ContentTransformer {
        /**
         * Interpolate the value read from the xpp3 document
         * @param source The source value
         * @param fieldName A description of the field being interpolated. The implementation may use this to
         *                           log stuff.
         * @return The interpolated value.
         */
        String transform(String source, String fieldName);

👈 💼, 👆 💪 🎯 💱 🐩 `dataclasses` ⏮️ `pydantic.dataclasses`, ❔ 💧-♻:

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

1️⃣. 👥 🗄 `field` ⚪️➡️ 🐩 `dataclasses`.

2️⃣. `pydantic.dataclasses` 💧-♻ `dataclasses`.

3️⃣. `Author` 🎻 🔌 📇 `Item` 🎻.

4️⃣. `Author` 🎻 ⚙️ `response_model` 🔢.

5️⃣. 👆 💪 ⚙️ 🎏 🐩 🆎 ✍ ⏮️ 🎻 📨 💪.

    }

    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 {

         * tokenizerFactory = japaneseTokenizerFactory; } initialized = true;
         */
    }

    @Override
    public List<String> convert(final String text, final String field, final String... langs) throws IOException {
        final List<String> readingList = new ArrayList<>();
        readingList.add(toKatakana(text));
        return readingList;
    }

@pytest.fixture(name="client")
def get_client(app: FastAPI):
    client = TestClient(app)
    return client


file_required = {
    "detail": [
        {
            "loc": ["body", "files"],
            "msg": "field required",
            "type": "value_error.missing",
        }
    ]
}


@needs_py39
def test_post_files(tmp_path, app: FastAPI):
    path = tmp_path / "test.txt"
    path.write_bytes(b"<file content>")

  // the default priority for pods that do not have any priority class.
  // Only one PriorityClass can be marked as `globalDefault`. However, if more than
  // one PriorityClasses exists with their `globalDefault` field set to true,
  // the smallest value of such global default PriorityClasses will be used as the default priority.
  // +optional
  optional bool globalDefault = 3;