```Python hl_lines="2  4"
{!../../docs_src/custom_response/tutorial010.py!}
```

/// tip | "Tipp"

Sie können dennoch weiterhin `response_class` in *Pfadoperationen* überschreiben, wie bisher.

///

## Zusätzliche Dokumentation

	if err != nil {
		c.Fatalf("unable to list policies: %v", err)
	}

	defaultPolicies := []string{
		"readwrite",
		"readonly",
		"writeonly",
		"diagnostics",
		"consoleAdmin",
	}

	for _, v := range defaultPolicies {
		if _, ok := policies[v]; !ok {
			c.Fatalf("Failed to find %s in policies list", v)
		}
	}

	bucket := getRandomBucketName()

clusters are only affected if the ServiceAccount admission plugin and the `kubernetes.io/enforce-mountable-secrets` annotation are used together with ephemeral containers.

**Note**: This only impacts the cluster if the ServiceAccount admission plugin is used (most cluster should have this on by default as recommended in https://kubernetes.io/docs/reference/access-authn-authz/admission-controllers/#serviceaccount), the `kubernetes.io/enforce-mountable-secrets` annotation is used by a service...

    * Because pydantic data structures are just instances of classes you define; auto-completion, linting, mypy and your intuition should all work properly with your validated data.
* Validate **complex structures**:
    * Use of hierarchical Pydantic models, Python `typing`’s `List` and `Dict`, etc.

    * Pydantic'in veri yapıları aslında sadece senin tanımladığın classlar; Bu yüzden doğrulanmış dataların ile otomatik tamamlama, linting ve mypy'ı kullanarak sorunsuz bir şekilde çalışabilirsin
* **En kompleks** yapıları bile doğrula:
    * Hiyerarşik Pydantic modellerinin kullanımı ile beraber, Python `typing`’s `List` and `Dict`, vs gibi şeyleri doğrula.

	exit_1
fi

# Stat the SSEC objects from source site
echo "Stat minio1/test-bucket/encrypted"
./mc stat --no-list minio1/test-bucket/encrypted --enc-c "minio1/test-bucket/encrypted=${TEST_MINIO_ENC_KEY}" --insecure --json
stat_out1=$(./mc stat --no-list minio1/test-bucket/encrypted --enc-c "minio1/test-bucket/encrypted=${TEST_MINIO_ENC_KEY}" --insecure --json)
src_obj1_etag=$(echo "${stat_out1}" | jq '.etag')

            than specifying a value for finalName directly in the plugin configuration section. It is also useful to
            ensure that - for example - a List-typed parameter which expects items of type Artifact doesn't get a List
            full of Strings.
          </description>
        </field>
        <field>
          <name>description</name>
          <version>1.0.0+</version>

Agora usamos `response_model=HeroPublic` em vez da **anotação de tipo de retorno** `-> HeroPublic` porque o valor que estamos retornando na verdade *não* é um `HeroPublic`.

Se tivéssemos declarado `-> HeroPublic`, seu editor e o linter reclamariam (com razão) que você está retornando um `Hero` em vez de um `HeroPublic`.

        split(fessConfig.getSuggestFieldContents(), ",")
                .of(stream -> stream.filter(StringUtil::isNotBlank).forEach(contentFieldNameSet::add));
        split(fessConfig.getSuggestFieldTags(), ",").of(stream -> stream.filter(StringUtil::isNotBlank).forEach(tagFieldNameSet::add));
        split(fessConfig.getSuggestFieldRoles(), ",").of(stream -> stream.filter(StringUtil::isNotBlank).forEach(roleFieldNameSet::add));

    * Como as estruturas de dados do Pydantic são apenas instâncias de classes que você define, a auto completação, _linting_, _mypy_ e a sua intuição devem funcionar corretamente com seus dados validados.
* Valida **estruturas complexas**:
    * Use modelos hierárquicos do Pydantic, `List` e `Dict` do `typing` do Python, etc.