username: str
    email: str | None = None
    full_name: str | None = None
    disabled: bool | None = None


def fake_decode_token(token):
    return User(
        username=token + "fakedecoded", email="john@example.com", full_name="John Doe"
    )


async def get_current_user(token: Annotated[str, Depends(oauth2_scheme)]):
    user = fake_decode_token(token)
    return user


@app.get("/users/me")

Da wir eine relative URL verwenden, würde sich das, wenn sich Ihre API unter `https://example.com/` befindet, auf `https://example.com/token` beziehen. Wenn sich Ihre API jedoch unter `https://example.com/api/v1/` befände, würde es sich auf `https://example.com/api/v1/token` beziehen.

/// tip | 提示

在此，`tokenUrl="token"` 指向的是暂未创建的相对 URL `token`。这个相对 URL 相当于 `./token`。

因为使用的是相对 URL，如果 API 位于 `https://example.com/`，则指向 `https://example.com/token`。但如果 API 位于 `https://example.com/api/v1/`，它指向的就是`https://example.com/api/v1/token`。

使用相对 URL 非常重要，可以确保应用在遇到[使用代理](../../advanced/behind-a-proxy.md){.internal-link target=_blank}这样的高级用例时，也能正常运行。

///

policy grants access to buckets with name starting with example. ## In addition, grants objects read permissions on buckets starting with example. # - name: readonlyexamplepolic # statements: # - resources: # - 'arn:aws:s3:::example*/*' # actions: # - "s3:GetObject" # - resources: # - 'arn:aws:s3:::example*' # actions: # - "s3:GetBucketLocation" # - "s3:ListBucket" # - "s3:ListBucketMultipartU" ## conditionsexample policy creates all access to example bucket with aws:username="johndoe" and source ip range...

## Object name restrictions on MinIO

- Object name restrictions on MinIO are governed by OS and filesystem limitations. For example object names that contain characters `^*|\/&";` are unsupported on Windows platform or any other file systems that do not support filenames with special characters.

* PostgreSQL
* MySQL
* SQLite
* Oracle
* Microsoft SQL Server, etc.

In this example, we'll use **SQLite**, because it uses a single file and Python has integrated support. So, you can copy this example and run it as is.

Later, for your production application, you might want to use a database server like **PostgreSQL**.

/// tip

    "tax": 3.2,
    "tags": [
        "rock",
        "metal",
        "bar"
    ],
    "images": [
        {
            "url": "http://example.com/baz.jpg",
            "name": "The Foo live"
        },
        {
            "url": "http://example.com/dave.jpg",
            "name": "The Baz"
        }
    ]
}
```

/// info | Info

    email: Union[str, None] = None
    full_name: Union[str, None] = None
    disabled: Union[bool, None] = None


def fake_decode_token(token):
    return User(
        username=token + "fakedecoded", email="john@example.com", full_name="John Doe"
    )


async def get_current_user(token: str = Depends(oauth2_scheme)):
    user = fake_decode_token(token)
    return user


@app.get("/users/me")

to the network can execute arbitrary code with the privileges of the user
running the `tf.train.Server`.

## Untrusted inputs during training and prediction

TensorFlow supports a wide range of input data formats. For example it can
process images, audio, videos, and text. There are several modules specialized
in taking those formats, modifying them, and/or converting them to intermediate
formats that can be processed by TensorFlow.

        "full_name": "John Doe",
        "email": "johndoe@example.com",
        "hashed_password": "$argon2id$v=19$m=65536,t=3,p=4$wagCPXjifgvUFBzq4hqe3w$CYaIb8sB+wtD+Vu/P4uod1+Qof8h+1g7bbDlBID48Rc",
        "disabled": False,
    },
    "alice": {
        "username": "alice",
        "full_name": "Alice Chains",
        "email": "alicechains@example.com",