@Param("5000")
  int distinctKeys;

  @Param("4")
  int segments;

  // 1 means uniform likelihood of keys; higher means some keys are more popular
  // tweak this to control hit rate
  @Param("2.5")
  double concentration;

  Random random = new Random();

  LoadingCache<Integer, Integer> cache;

  int max;

  static AtomicLong requests = new AtomicLong(0);

                                <table class="table table-bordered">
                                    <tbody>
                                    <tr>
                                        <th style="width: 25%"><la:message
                                                key="labels.dict_protwords_source"/></th>
                                        <td>${f:h(input)}<la:hidden property="input"/></td>

                                <table class="table table-bordered">
                                    <tbody>
                                    <tr>
                                        <th style="width: 25%"><la:message
                                                key="labels.crawling_info_session_id"/></th>
                                        <td><a  <c:if test="${fe:permission('admin-searchlist-view')}">

`get_current_user` 🔜 ✔️ 🔗 ⏮️ 🎏 `oauth2_scheme` 👥 ✍ ⏭.

🎏 👥 🔨 ⏭ *➡ 🛠️* 🔗, 👆 🆕 🔗 `get_current_user` 🔜 📨 `token` `str` ⚪️➡️ 🎧-🔗 `oauth2_scheme`:

//// tab | 🐍 3️⃣.6️⃣ & 🔛

```Python hl_lines="25"
{!> ../../docs_src/security/tutorial002.py!}
```

////

//// tab | 🐍 3️⃣.1️⃣0️⃣ & 🔛

```Python hl_lines="23"
{!> ../../docs_src/security/tutorial002_py310.py!}
```

////

## 🤚 👩‍💻

  url: https://github.com/komtaki
- login: YuriiMotov
  count: 25
  avatarUrl: https://avatars.githubusercontent.com/u/109919500?u=e83a39697a2d33ab2ec9bfbced794ee48bc29cec&v=4
  url: https://github.com/YuriiMotov
- login: Ryandaydev
  count: 25
  avatarUrl: https://avatars.githubusercontent.com/u/4292423?u=48f68868db8886fce31a1d802c1003914c6cd7c6&v=4

                                <table class="table table-bordered">
                                    <tbody>
                                    <tr>
                                        <th style="width: 25%"><la:message
                                                key="labels.webauth_hostname"/></th>
                                        <td>${f:h(hostname)}<la:hidden property="hostname"/></td>

                                <table class="table table-bordered">
                                    <tbody>
                                    <tr>
                                        <th style="width: 25%"><la:message
                                                key="labels.dict_mapping_source"/></th>
                                        <td>${f:br(f:h(inputs))}<la:hidden property="inputs"/></td>

                                <table class="table table-bordered">
                                    <tbody>
                                    <tr>
                                        <th style="width: 25%"><la:message
                                                key="labels.dict_synonym_source"/></th>
                                        <td>${f:br(f:h(inputs))}<la:hidden property="inputs"/></td>

创建 `get_current_user` 依赖项。

还记得依赖项支持子依赖项吗？

`get_current_user` 使用 `oauth2_scheme` 作为依赖项。

与之前直接在路径操作中的做法相同，新的 `get_current_user` 依赖项从子依赖项 `oauth2_scheme` 中接收 `str` 类型的 `token`：

```Python hl_lines="25"
{!../../docs_src/security/tutorial002.py!}
```

## 获取用户

`get_current_user` 使用创建的（伪）工具函数，该函数接收 `str` 类型的令牌，并返回 Pydantic 的 `User` 模型：

```Python hl_lines="19-22  26-27"
{!../../docs_src/security/tutorial002.py!}

                                <table class="table table-bordered">
                                    <tbody>
                                    <tr>
                                        <th style="width: 25%"><la:message key="labels.scheduledjob_name"/></th>
                                        <td>${f:h(name)}<la:hidden property="name"/></td>
                                    </tr>
                                    <tr>