assertThat(result.get("second")).isEqualTo("null");
    assertEquals(2, result.size());

    // Now test values loaded from a stream.
    String props = "test\n second = 2\n Third item :   a short  phrase   ";

    testProp.load(new StringReader(props));

    result = Maps.fromProperties(testProp);
    assertEquals(4, result.size());
    assertThat(result.get("first")).isEqualTo("true");

* breaking change
* bug
* button
* callable
* code
* commit
* context manager
* coroutine
* database session
* disk
* domain
* engine
* fake X
* HTTP GET method
* item
* library
* lifespan
* lock
* middleware
* mobile application
* module
* mounting
* network
* origin
* override
* payload
* processor
* property
* proxy
* pull request

///

`response_model` nimmt denselben Typ entgegen, den Sie auch für ein Pydantic-Modellfeld deklarieren würden, also etwa ein Pydantic-Modell, aber es kann auch z. B. eine `list`e von Pydantic-Modellen sein, wie etwa `List[Item]`.

FastAPI wird dieses `response_model` nehmen, um die Daten zu dokumentieren, validieren, usw. und auch, um **die Ausgabedaten** entsprechend der Typdeklaration **zu konvertieren und filtern**.

/// tip | Tipp

---

## Configuration Migration

### Exporting Current Configuration

**Via Admin UI**:
1. Navigate to **System > Backup**
2. Select configuration items to export:
   - Web Crawling Config
   - File Crawling Config
   - Data Store Config
   - Scheduled Jobs
   - Users and Roles
   - System Settings
3. Click **Export**
4. Download JSON file

/// note | 참고

`response_model`은 "데코레이터" 메서드(`get`, `post` 등)의 매개변수입니다. 모든 매개변수와 body처럼, *경로 처리 함수*의 매개변수가 아닙니다.

///

`response_model`은 Pydantic 모델 필드에 선언하는 것과 동일한 타입을 받습니다. 따라서 Pydantic 모델이 될 수도 있고, `List[Item]`처럼 Pydantic 모델의 `list`가 될 수도 있습니다.

FastAPI는 이 `response_model`을 사용해 데이터 문서화, 검증 등을 수행하고, 또한 출력 데이터를 타입 선언에 맞게 **변환하고 필터링**합니다.

/// tip | 팁

에디터, mypy 등에서 엄격한 타입 체크를 사용하고 있다면, 함수 반환 타입을 `Any`로 선언할 수 있습니다.

///

## 深くネストされたモデル { #deeply-nested-models }

深くネストされた任意のモデルを定義することができます:

{* ../../docs_src/body_nested_models/tutorial007_py310.py hl[7,12,18,21,25] *}

/// info | 情報

`Offer`は`Item`のリストであり、それらがさらにオプションの`Image`のリストを持っていることに注目してください。

///

## 純粋なリストのボディ { #bodies-of-pure-lists }

期待するJSONボディのトップレベルの値がJSON`array`（Pythonの`list`）であれば、Pydanticモデルと同じように、関数のパラメータで型を宣言することができます:

```Python

labels.file_auth_parameters=Parameters
labels.file_auth_file_crawling_config=File Crawl Config
labels.file_auth_scheme_samba=Samba
labels.file_auth_scheme_ftp=FTP
labels.pagination_page_guide_msg={0}/{1} ({2} items)
labels.list_could_not_find_crud_table=Not registered.
labels.scheduledjob_configuration=Job Scheduler
labels.scheduledjob_title_details=Job
labels.scheduledjob_name=Name
labels.scheduledjob_target=Target

   * list is a transformed view of {@code fromList}; changes to {@code fromList} will be reflected
   * in the returned list and vice versa.
   *
   * <p>Since functions are not reversible, the transform is one-way and new items cannot be stored
   * in the returned list. The {@code add}, {@code addAll} and {@code set} methods are unsupported
   * in the returned list.
   *

    // This tests that it.remove() above actually changed the order. It
    // indicates that the value 40 was stored in forgetMeNot, so it is
    // returned in the last call to it.next(). Without it, 30 should be the last
    // item returned by the iterator.
    Integer lastItem = 0;
    for (Integer tmp : mmHeap) {
      lastItem = tmp;
    }
    assertEquals((Integer) 30, lastItem);
  }

  /**

 *
 * <p>Advantages compared to {@code double[]}:
 *
 * <ul>
 *   <li>All the many well-known advantages of immutability (read <i>Effective Java</i>, third
 *       edition, Item 17).
 *   <li>Has the value-based (not identity-based) {@link #equals}, {@link #hashCode}, and {@link
 *       #toString} behavior you expect.