}
                break;
            case 4:
                // Let's ignore this for now
                break;
            default:
                throw new PACDecodingException("Invalid field in kerberos ticket");
            }
        }
    }


    public byte getApOptions () {
        return this.apOptions;
    }


    public KerberosTicket getTicket () {

        Collections.addAll(fieldList, item1.getFields());
        for (final String field : item2.getFields()) {
            if (!fieldList.contains(field)) {
                fieldList.add(field);
            }
        }
        mergedItem.fields = fieldList.toArray(new String[fieldList.size()]);

```{ .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;
    }

	case nil:

	// These are ordered and grouped to match ../../go/ast/ast.go
	case *ast.Field:
		if len(n.Names) == 0 && context == ctxField {
			f.walk(&n.Type, ctxEmbedType, visit)
		} else {
			f.walk(&n.Type, ctxType, visit)
		}
	case *ast.FieldList:
		for _, field := range n.List {
			f.walk(field, context, visit)
		}
	case *ast.BadExpr:
	case *ast.Ident:
	case *ast.Ellipsis:

@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>")