如果你需要2分钟来学习如何使用 Python 类型（即使你不使用 FastAPI），看看这个简短的教程：[Python 类型](python-types.md)。

编写带有类型标注的标准 Python：

```Python
from datetime import date

from pydantic import BaseModel

# 将变量声明为 str
# 并在函数内获得编辑器支持
def main(user_id: str):
    return user_id


# 一个 Pydantic 模型
class User(BaseModel):
    id: int
    name: str
    joined: date
```

可以像这样来使用：

```Python

     * `futures` into a local variable (in preparation for propagating cancellation to them). In
     * either case, no one needs to read `futures` for cancellation purposes later. (And
     * cancellation purposes are the main reason to access `futures`, as discussed in its docs.)
     */
    this.futures = null;
  }

  enum ReleaseResourcesReason {
    OUTPUT_FUTURE_DONE,
    ALL_INPUT_FUTURES_PROCESSED,
  }

  /**

<%@page pageEncoding="UTF-8" contentType="text/html; charset=UTF-8" %>
<aside class="main-sidebar sidebar-dark-primary">
	<la:link href="/admin/" styleClass="brand-link text-center">
		<span class="brand-text">
		<c:if test="${empty param.brandName or empty param.logoPath}"><img src="${fe:url('/images/logo-head.png')}" alt="<la:message key="labels.header_brand_name" />" /></c:if

    //                                                                      Search Execute
    //                                                                      ==============
    /**
     * Display the main index page for stemmer override dictionary management.
     * Clears the pager and shows the initial search form.
     *
     * @param form The search form containing filter criteria

    }
  }

  /**
   * Implementation of {@link Stream#flatMap} with an object spliterator output type.
   *
   * <p>To avoid having this type, we could use {@code FlatMapSpliterator} directly. The main
   * advantages to having the type are the ability to use its constructor reference below and the
   * parallelism with the primitive version. In short, it makes its caller ({@code flatMap})
   * simpler.
   *

如果你寫帶有 Python 型別的程式碼：

```Python
from datetime import date

from pydantic import BaseModel

# 宣告一個變數為 string
# 並在函式中獲得 editor support
def main(user_id: str):
    return user_id


# 宣告一個 Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

可以像這樣來使用：

```Python

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        queryHelper.setAdditionalQuery("additional:test");

        QueryContext context = queryHelper.build(SearchRequestType.SEARCH, "main query", ctx -> {
            ctx.skipRoleQuery();
        });

        assertNotNull(context);
        assertEquals("main query additional:test", context.getQueryString());
    }

    @Test
    public void test_build_withAdditionalQuery_emptyMainQuery() {

    //                                                                      Search Execute
    //                                                                      ==============

    /**
     * Displays the main maintenance page.
     *
     * @return HTML response for the maintenance index page
     */
    @Execute
    @Secured({ ROLE, ROLE + VIEW })
    public HtmlResponse index() {
        saveToken();

Those details are implementation specific.

For OAuth2 they are just strings.

///

## Global view { #global-view }

First, let's quickly see the parts that change from the examples in the main **Tutorial - User Guide** for [OAuth2 with Password (and hashing), Bearer with JWT tokens](../../tutorial/security/oauth2-jwt.md). Now using OAuth2 scopes: