```Python hl_lines="1"
async def get_burgers(number: int):
    # Do some asynchronous stuff to create the burgers
    return burgers
```

...而不是 `def`:

```Python hl_lines="2"
# This is not asynchronous
def get_sequential_burgers(number: int):
    # Do some sequential stuff to create the burgers
    return burgers
```

/**
 * Helper class for indexing operations in the Fess search engine.
 * This class provides functionality for sending documents to the search engine,
 * managing document lifecycle operations (create, update, delete), and handling
 * thumbnail processing during indexing.
 *
 * <p>The IndexingHelper manages bulk operations, handles retries on failures,
 * and provides various query-based operations for document management.

                byte[] bytes = sums.get(extension).getBytes(StandardCharsets.UTF_8);
                Files.write(
                        Paths.get(temp.getAbsolutePath()), bytes, StandardOpenOption.APPEND, StandardOpenOption.CREATE);

                temporaryFiles.add(temp);
                wagon.put(temp, remotePath + "." + extension);
            }
        } catch (ConnectionException e) {

- The `kubectl debug` is able to create ephemeral containers in pre-1.22 clusters with the `EphemeralContainers` feature enabled. Note that versions of kubectl prior to 1.22 are unable to create ephemeral containers in clusters version 1.22 and greater due to an API change. ([#103292](https://github.com/kubernetes/kubernetes/pull/103292), [@verb](https://github.com/verb))...

        @Override
        public String getServletPath() {
            throw new UnsupportedOperationException();
        }

        @Override
        public jakarta.servlet.http.HttpSession getSession(boolean create) {
            throw new UnsupportedOperationException();
        }

        @Override
        public jakarta.servlet.http.HttpSession getSession() {
            throw new UnsupportedOperationException();

///

## Pydanticの `BaseModel` をインポート { #import-pydantics-basemodel }

まず、`pydantic` から `BaseModel` をインポートする必要があります:

{* ../../docs_src/body/tutorial001_py310.py hl[2] *}

## データモデルの作成 { #create-your-data-model }

次に、`BaseModel` を継承するクラスとしてデータモデルを宣言します。

すべての属性に標準のPython型を使用します:

{* ../../docs_src/body/tutorial001_py310.py hl[5:9] *}

---> 100%
```

</div>

当你用以下方式安装 `all` 扩展时，它也会被一并安装：

<div class="termy">

```console
$ pip install "fastapi[all]"
---> 100%
```

</div>

### 创建 `Settings` 对象 { #create-the-settings-object }

从 Pydantic 导入 `BaseSettings` 并创建一个子类，这与创建 Pydantic 模型非常相似。

与 Pydantic 模型一样，用类型注解声明类属性，也可以指定默认值。

你可以使用与 Pydantic 模型相同的验证功能和工具，例如不同的数据类型，以及使用 `Field()` 进行附加验证。

		switch c := d.next(); c {
		case '\n':
			d.lineStart = d.pos
			d.lineNo++
			continue
		case ' ', '\t', '\r':
			continue
		default:
			return c
		}
	}
	return 0
}

// create syntax errors at current position, with optional context
func (d *Decoder) mkError(err DecoderError, context ...string) error {
	if len(context) > 0 {
		err.context = context[0]
	}
	err.atChar = d.cur()

        }

        final StringBuilder resultBuf = new StringBuilder(100);
        final boolean runAll = webConfigIds == null && fileConfigIds == null && dataConfigIds == null;

        if (sessionId == null) { // create session id
            final SimpleDateFormat sdf = new SimpleDateFormat("yyyyMMddHHmmss");
            sessionId = sdf.format(new Date());
        }
        resultBuf.append("Session Id: ").append(sessionId).append("\n");

                final String loginUrl = auth.login(null, authnRequestParams, true);
                request.getSession().setAttribute(SAML_STATE, UuidUtil.create());
                return new ActionResponseCredential(() -> HtmlResponse.fromRedirectPathAsIs(loginUrl));
            } catch (final Exception e) {
                throw new SsoLoginException("Invalid SAML redirect URL.", e);