@ExtendWith(MockitoExtension.class)
class SamrDomainHandleTest {

    @Mock
    private DcerpcHandle mockDcerpcHandle;
    @Mock
    private SamrPolicyHandle mockPolicyHandle;
    @Mock
    private rpc.sid_t mockSid;

    // Use ArgumentCaptor to capture the MsrpcSamrOpenDomain instance passed to sendrecv
    private ArgumentCaptor<MsrpcSamrOpenDomain> openDomainCaptor;

          }
        }
      }
    },
    "settings" : {
      "index" : {
        "creation_date" : "1509021050704",
        "number_of_shards" : "5",
        "number_of_replicas" : "1",
        "uuid" : "X-fixtWRQdGqWMpUEEs_Ag",
        "version" : {
          "created" : "6000051"
        },
        "provided_name" : "fess_config.crawling_info_param"
      }
    }
  }

    branch: VersionedSettingsBranch,
) : PublishGradleDistributionFullBuild(
        promotedBranch = branch.branchName,
        promoteTask = "publishBranchDocs",
        triggerName = StageName.PULL_REQUEST_FEEDBACK.uuid,
    ) {
    init {
        id("Promotion_NightlyDocumentation")
        name = "Nightly Documentation"
        description =

package org.codelibs.fess.api.engine;

import java.io.IOException;
import java.io.InputStream;
import java.io.OutputStream;
import java.nio.file.Files;
import java.nio.file.Path;
import java.util.Locale;
import java.util.UUID;

import org.apache.catalina.connector.ClientAbortException;
import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.codelibs.core.io.CopyUtil;

                "array" : "true"
              }
            }
          }
        },
        "creation_date" : "1509021056135",
        "number_of_shards" : "5",
        "number_of_replicas" : "1",
        "uuid" : "8lLdTVsGQCKFnbgLSkPaUA",
        "version" : {
          "created" : "6000051"
        },
        "provided_name" : "fess_config.related_query"
      }
    }
  }

                "array" : "true"
              }
            }
          }
        },
        "creation_date" : "1509021049417",
        "number_of_shards" : "5",
        "number_of_replicas" : "1",
        "uuid" : "s8tK7hldQzWbNtsfzHIZZQ",
        "version" : {
          "created" : "6000051"
        },
        "provided_name" : "fess_config.access_token"
      }
    }
  }

Например, вы не можете поместить Pydantic-модель в `JSONResponse`, не преобразовав её сначала в `dict` с помощью преобразования всех типов данных (таких как `datetime`, `UUID` и т.д.) в совместимые с JSON типы.

В таких случаях вы можете использовать `jsonable_encoder` для преобразования данных перед передачей их в ответ:

{* ../../docs_src/response_directly/tutorial001.py hl[6:7,21:22] *}

* Datenkonvertierung für Response-Daten.
* Datenvalidierung.
* Automatische Annotation und Dokumentation.

## Andere Datentypen

Hier sind einige der zusätzlichen Datentypen, die Sie verwenden können:

* `UUID`:
    * Ein standardmäßiger „universell eindeutiger Bezeichner“ („Universally Unique Identifier“), der in vielen Datenbanken und Systemen als ID üblich ist.
    * Wird in Requests und Responses als `str` dargestellt.

Por exemplo, você não pode colocar um modelo do Pydantic em uma `JSONResponse` sem antes convertê-lo em um `dict` com todos os tipos de dados (como `datetime`, `UUID`, etc) convertidos para tipos compatíveis com JSON.

Para esses casos, você pode usar o `jsonable_encoder` para converter seus dados antes de repassá-los para a resposta:

[
	uuid(4b324fc8-1670-01d3-1278-5a47bf6ee188),
	version(3.0)
]
interface srvsvc
{
	import "../rpc.idl";

	typedef struct {
		[string] wchar_t *netname;
	} ShareInfo0;

	typedef struct {
		int count;
		[size_is(count)] ShareInfo0 *array;
	} ShareInfoCtr0;

	typedef struct {
		[string] wchar_t *netname;
		int type;
		[string] wchar_t *remark;
	} ShareInfo1;

	typedef struct {
		int count;