connOpts = append(connOpts, nats.UserInfo(n.Username, n.Password))
	}
	if n.UserCredentials != "" {
		connOpts = append(connOpts, nats.UserCredentials(n.UserCredentials))
	}
	if n.Token != "" {
		connOpts = append(connOpts, nats.Token(n.Token))
	}
	if n.NKeySeed != "" {
		nkeyOpt, err := nats.NkeyOptionFromSeed(n.NKeySeed)
		if err != nil {
			return nil, err
		}
		connOpts = append(connOpts, nkeyOpt)
	}

from fastapi import Depends, FastAPI, Header, HTTPException

app = FastAPI()


async def verify_token(x_token: Annotated[str, Header()]):
    if x_token != "fake-super-secret-token":
        raise HTTPException(status_code=400, detail="X-Token header invalid")


async def verify_key(x_key: Annotated[str, Header()]):
    if x_key != "fake-super-secret-key":
        raise HTTPException(status_code=400, detail="X-Key header invalid")

{* ../../docs_src/security/tutorial002_an_py310.py hl[25] *}

## Get the user { #get-the-user }

`get_current_user` will use a (fake) utility function we created, that takes a token as a `str` and returns our Pydantic `User` model:

# Punctuation tokens to remove
,
.
`
-
_
=
?
'
|
"
(
)
{
}
[
]
<
>
*
#
&
^
$
@
!
~
:
;
+
/
\
《
》
—
－
，
。
、
：
；
！
·
？
“
”
）
（
【
】
［
］
●
# the line below contains an IDEOGRAPHIC SPACE character (Used as a space in Chinese)
　

# English Stop Words

これらの場合、型宣言でリストを使用して定義することができます。

重複したヘッダーのすべての値をPythonの`list`として受け取ることができます。

例えば、複数回出現する可能性のある`X-Token`のヘッダを定義するには、以下のように書くことができます:

{* ../../docs_src/header_params/tutorial003_an_py310.py hl[9] *}

その*path operation*と通信する際に、次のように2つのHTTPヘッダーを送信する場合:

```
X-Token: foo
X-Token: bar
```

レスポンスは以下のようになります:

```JSON
{
    "X-Token values": [
        "bar",
        "foo"
    ]
}
```

## まとめ { #recap }

                                    <label for="token" class="col-sm-3 text-sm-right col-form-label"><la:message
                                            key="labels.dict_kuromoji_token"/></label>
                                    <div class="col-sm-9">
                                        <la:errors property="token"/>
                                        <la:text styleId="token" property="token" styleClass="form-control"/>

    }

    public void setToken_Terms(ConditionOptionCall<TermsAggregationBuilder> opLambda) {
        setToken_Terms("token", opLambda, null);
    }

    public void setToken_Terms(ConditionOptionCall<TermsAggregationBuilder> opLambda, OperatorCall<BsAccessTokenCA> aggsLambda) {
        setToken_Terms("token", opLambda, aggsLambda);
    }

		case "Endpoint":
			z.Endpoint, err = dc.ReadString()
			if err != nil {
				err = msgp.WrapError(err, "Endpoint")
				return
			}
		case "Token":
			z.Token, err = dc.ReadString()
			if err != nil {
				err = msgp.WrapError(err, "Token")
				return
			}
		default:
			err = dc.Skip()
			if err != nil {
				err = msgp.WrapError(err)
				return
			}
		}
	}

{* ../../docs_src/security/tutorial002_an_py310.py hl[25] *}

## Obter o usuário { #get-the-user }

`get_current_user` usará uma função utilitária (falsa) que criamos, que recebe um token como uma `str` e retorna nosso modelo Pydantic `User`:

	  #     value: "image/*" # match objects with 'content-type', with all values starting with 'image/'

	notify:
	  endpoint: "https://notify.endpoint" # notification endpoint to receive job status events
	  token: "Bearer xxxxx" # optional authentication token for the notification endpoint

	retry:
	  attempts: 10 # number of retries for the job before giving up
	  delay: "500ms" # least amount of delay between each retry
```