FhE,MAKF5V,UAAEZ,SAAS6T,MAAM1F,SAASoH,KAG5BoD,kBAAA,WAEE,IAAMmB,EAAe,GAAGvR,MAAMnG,KAAKpC,SAASwI,iBAAiBwN,KAC7DpV,UAAEkZ,GAAc1T,MAAK,SAACwF,EAAOzL,GAC3B,IAAMka,EAAUzZ,UAAET,GAASmG,KAAK,iBAChC1F,UAAET,GAASqF,WAAW,iBACtBrF,EAAQ8Q,MAAMqI,aAAee,GAAoB,MAInD,IAAMC,EAAW,GAAG/R,MAAMnG,KAAKpC,SAASwI,iBAAoB+R,gBAC5D3Z,UAAE0Z,GAAUlU,MAAK,SAACwF,EAAOzL,GACvB,IAAMqa,EAAS5Z,UAAET,GAASmG,KAAK,gBACT,oBAAXkU,GACT5Z,UAAET,GAASU,IAAI,eAAgB2Z,GAAQhV,WAAW,mBAKtD,IAAM6U,EAAUzZ,UAAEZ,SAAS6T,MAAMvN,KAAK,iBACtC1F,UAAEZ,...

   * if Fire.run is called by delegate.addListener since addListener is called after the assignment
   * to timer, and importantly this is the main situation in which we need to be able to see the
   * write.
   *
   * 2. visibility of the writes to an afterDone() call triggered by cancel():
   *

              @Override
              public void run() {
                notifyStarted();
                // We need to wait for the main thread to leave the ServiceManager.startAsync call
                // to
                // ensure that the thread running the failure callbacks is not the main thread.
                Uninterruptibles.awaitUninterruptibly(afterStarted);
                notifyFailed(new Exception("boom"));
              }

**FastAPI**では、これを**OAuth2**を使用して構築できます。

ですが、ちょっとした必要な情報を探すために、長い仕様のすべてを読む必要はありません。

**FastAPI**が提供するツールを使って、セキュリティを制御してみましょう。

## どう見えるか

まずはこのコードを使って、どう動くか観察します。その後で、何が起こっているのか理解しましょう。

## `main.py`を作成

`main.py`に、下記の例をコピーします:

{* ../../docs_src/security/tutorial001.py *}

## 実行

/// info | 情報

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[66:73] hl[71] *}

### Ejecutar la App

Puedes ejecutar la aplicación:

<div class="termy">

```console
$ fastapi dev main.py

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
```

</div>

    }

    @Override
    public int hashCode() {
        return items.hashCode();
    }

    // CHECKSTYLE_OFF: LineLength

    /**
     * Main to test version parsing and comparison.
     * <p>
     * To check how "1.2.7" compares to "1.2-SNAPSHOT", for example, you can issue

***NOTE***: Only original source code from you and other people that have signed the CLA can be accepted into the main repository.

### Contributing code

If you have improvements to TensorFlow, send us your pull requests! For those
just getting started, GitHub has a
[how-to](https://help.github.com/articles/using-pull-requests/).

```

In a given setup, there are `n` MinIO instances talking to `m` KES servers but only `1` central KMS. The most simple setup consists of `1` MinIO server or cluster talking to `1` KMS via `1` KES server.

The main difference between various MinIO-KMS deployments is the KMS implementation. The following table helps you select the right option for your use case:

The main tasks that you can do right now are:

* [Help others with questions in GitHub](#help-others-with-questions-in-github){.internal-link target=_blank} (see the section above).
* [Review Pull Requests](#review-pull-requests){.internal-link target=_blank} (see the section above).

Those two tasks are what **consume time the most**. That's the main work of maintaining FastAPI.

شما پایتون استاندارد را با استفاده از تایپ ها مینویسید:

```Python
from datetime import date

from pydantic import BaseModel

# Declare a variable as a str
# and get editor support inside the function
def main(user_id: str):
    return user_id


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

که سپس میتوان به این شکل از آن استفاده کرد:

```Python