const _Op_name = "ConnectConnectResponsePingPongConnectMuxMuxConnectErrorDisconnectClientMuxDisconnectServerMuxMuxClientMsgMuxServerMsgUnblockSrvMuxUnblockClMuxAckMuxRequestResponseDisconnectMerged"

var _Op_index = [...]uint8{0, 7, 22, 26, 30, 40, 55, 74, 93, 105, 117, 130, 142, 148, 155, 163, 173, 179}

func (i Op) String() string {
	i -= 1
	if i >= Op(len(_Op_index)-1) {
		return "Op(" + strconv.FormatInt(int64(i+1), 10) + ")"
	}

    WESTERN_DIGIT("0123456789"),
    ALL_DIGIT(CharMatcher.digit(), ALL_DIGITS),
    OPS_5("+-*/%"),
    HEX_16(CharMatcher.inRange('0', '9').or(CharMatcher.inRange('A', 'F')), "0123456789ABCDEF"),
    HEX_22(
        CharMatcher.inRange('0', '9')
            .or(CharMatcher.inRange('A', 'F'))
            .or(CharMatcher.inRange('a', 'f')),
        "0123456789ABCDEFabcdef"),
    GERMAN_59(
        CharMatcher.inRange('a', 'z')

In diesen Fällen können Sie den `jsonable_encoder` verwenden, um Ihre Daten zu konvertieren, bevor Sie sie an eine Response übergeben:

```Python hl_lines="6-7  21-22"
{!../../../docs_src/response_directly/tutorial001.py!}
```

!!! note "Technische Details"
    Sie können auch `from starlette.responses import JSONResponse` verwenden.

```JSON
{
    "name": "Foo",
    "description": "The pretender",
    "price": 42.0,
    "tax": 3.2
}
```

✋️ 👆 💪 📣 💗 💪 🔢, ✅ `item` & `user`:

=== "🐍 3️⃣.6️⃣ & 🔛"

    ```Python hl_lines="22"
    {!> ../../../docs_src/body_multiple_params/tutorial002.py!}
    ```

=== "🐍 3️⃣.1️⃣0️⃣ & 🔛"

    ```Python hl_lines="20"
    {!> ../../../docs_src/body_multiple_params/tutorial002_py310.py!}
    ```

    assertThat(formEncode(18)).isEqualTo("%12")
    assertThat(formEncode(19)).isEqualTo("%13")
    assertThat(formEncode(20)).isEqualTo("%14")
    assertThat(formEncode(21)).isEqualTo("%15")
    assertThat(formEncode(22)).isEqualTo("%16")
    assertThat(formEncode(23)).isEqualTo("%17")
    assertThat(formEncode(24)).isEqualTo("%18")
    assertThat(formEncode(25)).isEqualTo("%19")
    assertThat(formEncode(26)).isEqualTo("%1A")

    * 该函数依赖 `query_extractor`, 并把 `query_extractor` 的返回值赋给参数 `q`
* 同时，该函数还声明了类型是 `str` 的可选 cookie（`last_query`）
    * 用户未提供查询参数 `q` 时，则使用上次使用后保存在 cookie 中的查询

### 使用依赖项

接下来，就可以使用依赖项：

```Python hl_lines="22"
{!../../../docs_src/dependencies/tutorial005.py!}
```

!!! info "信息"

    注意，这里在*路径操作函数*中只声明了一个依赖项，即 `query_or_cookie_extractor` 。

    }

    private
    fun getMergedContributorPullRequests(pageNumber: Int): List<GitHubPullRequest> {
        val uri = "https://api.github.com/search/issues?q=is:pr+is:merged+repo:gradle/gradle+label:%22from:contributor%22&sort=updated&order=desc&per_page=$pageSize&page=$pageNumber"
        return invokeGitHubApi(uri, GitHubPullRequestSearchResult::class.java).items
    }

  }

  protected void populate(Multimap<String, Integer> multimap) {
    multimap.put("one", 1);
    multimap.put("two", 2);
    multimap.put("two", 22);
    multimap.put("three", 3);
    multimap.put("three", 33);
    multimap.put("three", 333);
  }

  @Override
  protected String getKeyNotInPopulatedMap() throws UnsupportedOperationException {
    return "zero";

  memcpy(&product[0], TF_TensorData(t), TF_TensorByteSize(t));
  TF_DeleteTensor(t);
  EXPECT_EQ(7, product[0]);
  EXPECT_EQ(10, product[1]);
  EXPECT_EQ(15, product[2]);
  EXPECT_EQ(22, product[3]);

  TFE_DeleteTensorHandle(h0_task0);
  TFE_DeleteTensorHandle(h1_task0);
  TFE_DeleteTensorHandle(h0_task1);
  TFE_DeleteTensorHandle(h1_task1);
  TFE_DeleteTensorHandle(retvals[0]);

=== "Python 3.10+"

    ```Python hl_lines="20"
    {!> ../../../docs_src/body_multiple_params/tutorial002_py310.py!}
    ```

=== "Python 3.8+"

    ```Python hl_lines="22"
    {!> ../../../docs_src/body_multiple_params/tutorial002.py!}
    ```

In this case, **FastAPI** will notice that there are more than one body parameters in the function (two parameters that are Pydantic models).