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"
      }
    }
  }

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:

* 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.

[
	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;

	// Returns the entire endpoint.
	Endpoint() Endpoint

	// Close the disk, mark it purposefully closed, only implemented for remote disks.
	Close() error

	// Returns the unique 'uuid' of this disk.
	GetDiskID() (string, error)

	// Set a unique 'uuid' for this disk, only used when
	// disk is replaced and formatted.
	SetDiskID(id string)

	// Returns healing information for a newly replaced disk,

// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package cmd

import (
	"context"
	"os"
	"path/filepath"
	"testing"

	"github.com/google/uuid"
)

var testUUID = uuid.MustParse("f5c58c61-7175-4018-ab5e-a94fe9c2de4e")

func BenchmarkCrcHash(b *testing.B) {
	cases := []struct {
		key int
	}{
		{16},
		{64},
		{128},
		{256},
		{512},
		{1024},
	}

// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package cmd

import (
	"errors"
	"testing"
	"time"

	"github.com/google/uuid"
	"github.com/minio/minio/internal/bucket/lifecycle"
)

func (x xlMetaV2) listFreeVersions(volume, path string) ([]FileInfo, error) {
	fivs, err := x.ListVersions(volume, path, true)
	if err != nil {
		return nil, err

private fun Stage.getBuildScanCustomValues(): List<String> =
    StageName
        .values()
        .slice(this.stageName.ordinal until StageName.READY_FOR_RELEASE.ordinal + 1)
        .map { it.uuid }

fun Stage.getBuildScanCustomValueParam(testCoverage: TestCoverage? = null): String {
    val customValues =
        if (testCoverage != null) {