Type:        "string",
		},
		config.HelpKV{
			Key:         ClientSecret,
			Description: `secret for the unique public identifier for apps` + defaultHelpPostfix(ClientSecret),
			Sensitive:   true,
			Type:        "string",
			Secret:      true,
		},
		config.HelpKV{
			Key:         RolePolicy,

A única regra rígida para títulos é que o LLM deixe a parte do hash dentro de chaves inalterada, o que garante que os links não quebrem.

Veja a seção `### Headings` no prompt geral em `scripts/translate.py`.

Para algumas instruções específicas do idioma, veja, por exemplo, a seção `### Headings` em `docs/de/llm-prompt.md`.

////

## Termos usados na documentação { #terms-used-in-the-docs }

//// tab | Teste

///

## JWT token'larını yönetme { #handle-jwt-tokens }

Kurulu modülleri import edelim.

JWT token'larını imzalamak için kullanılacak rastgele bir secret key oluşturalım.

Güvenli, rastgele bir secret key üretmek için şu komutu kullanın:

<div class="termy">

```console
$ openssl rand -hex 32

09d25e094faa6ca2556c818166b7a9563b93f7099f6f0f4caa6cf63b88e8d3e7
```

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  absl::Status s = Shape(&shape);
  std::string shape_string;
  if (!s.ok()) {
    shape_string = "<error computing shape>";
  } else {
    shape_string = shape.DebugString();
  }
  return absl::StrCat("TensorHandle(shape=", shape_string,
                      ", dtype=", DataType_Name(DataType()),
                      ", type=", FullType().DebugString(), ")");
}

client = TestClient(app)


def test_security_http_basic():
    response = client.get("/users/me", auth=("john", "secret"))
    assert response.status_code == 200, response.text
    assert response.json() == {"username": "john", "password": "secret"}


def test_security_http_basic_no_credentials():
    response = client.get("/users/me")
    assert response.json() == {"detail": "Not authenticated"}

      {{- end }}
      {{- end }}
      volumes:
        - name: minio-user
          secret:
            secretName: {{ template "minio.secretName" . }}
        {{- if .Values.extraSecret }}
        - name: extra-secret
          secret:
            secretName: {{ .Values.extraSecret }}
        {{- end }}
        {{- include "minio.tlsKeysVolume" . | indent 8 }}

Les modèles Pydantic ont une méthode `.model_dump()` qui renvoie un `dict` avec les données du modèle.

Ainsi, si nous créons un objet Pydantic `user_in` comme :

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

et que nous appelons ensuite :

```Python
user_dict = user_in.model_dump()
```

	type: TYPE # valid values are "minio"
	bucket: BUCKET
	prefix: PREFIX
	# NOTE: if source is remote then target must be "local"
	# endpoint: ENDPOINT
	# credentials:
	#   accessKey: ACCESS-KEY
	#   secretKey: SECRET-KEY
	#   sessionToken: SESSION-TOKEN # Available when rotating credentials are used

  # target where the objects must be replicated
  target:
	type: TYPE # valid values are "minio"
	bucket: BUCKET
	prefix: PREFIX

Pydantic models have a `.model_dump()` method that returns a `dict` with the model's data.

So, if we create a Pydantic object `user_in` like:

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

and then we call:

```Python
user_dict = user_in.model_dump()
```