Sonra da bu değerleri içeren bir `dict` döndürür.

/// info | Bilgi

FastAPI, `Annotated` desteğini 0.95.0 sürümünde ekledi (ve önermeye başladı).

Daha eski bir sürüm kullanıyorsanız `Annotated` kullanmaya çalıştığınızda hata alırsınız.

`Annotated` kullanmadan önce **FastAPI** sürümünü en az 0.95.1'e yükseltmek için [FastAPI sürümünü yükseltin](../../deployment/versions.md#upgrading-the-fastapi-versions).

///

		modTime  time.Time
		days     ExpirationDays
		expected time.Time
	}{
		{
			time.Date(2020, time.March, 15, 10, 10, 10, 0, time.UTC),
			4,
			time.Date(2020, time.March, 20, 0, 0, 0, 0, time.UTC),
		},
		{
			time.Date(2020, time.March, 15, 0, 0, 0, 0, time.UTC),
			1,
			time.Date(2020, time.March, 17, 0, 0, 0, 0, time.UTC),
		},
	}

	for i, tc := range testCases {

				Content:  []byte("foo \r\n"),
				Modified: time.Date(2011, 12, 8, 10, 4, 50, 0, time.UTC),
				Mode:     0666,
			},
			{
				Name:     "dir/empty/",
				Content:  []byte{},
				Modified: time.Date(2011, 12, 8, 10, 8, 6, 0, time.UTC),
				Mode:     fs.ModeDir | 0777,
			},
			{
				Name:     "readonly",
				Content:  []byte("important \r\n"),
				Modified: time.Date(2011, 12, 8, 10, 6, 8, 0, time.UTC),

        df.setTimeZone(RemoteSnapshotMetadata.DEFAULT_SNAPSHOT_TIME_ZONE);
        return df.format(new Date());
    }

    @Test
    void gregorianCalendarIsUsed() {
        String dateBefore = gregorianDate();

        RemoteSnapshotMetadata metadata =
                new RemoteSnapshotMetadata(new DefaultArtifact("a:b:1-SNAPSHOT"), new Date(), null);
        metadata.merge(new Metadata());

        String dateAfter = gregorianDate();

        return readShort() & 0xffff;
    }

    /**
     * Reads a Windows FILETIME value and converts it to a Date.
     * @return the Date object, or null if the time represents infinity
     * @throws IOException if an I/O error occurs
     */
    public Date readFiletime() throws IOException {
        Date date = null;

        final long last = readUnsignedInt();
        final long first = readUnsignedInt();

import java.util.Date;

import org.codelibs.core.beans.Converter;
import org.codelibs.core.convert.StringConversionUtil;
import org.codelibs.core.convert.TimestampConversionUtil;

/**
 * Converter for timestamps.
 *
 * @author higa
 */
public class TimestampConverter implements Converter {

    /**
     * The pattern for the date and time.
     */
    protected String pattern;

        this.executionProperties = executionProperties;
        return this;
    }

    @Override
    public Date getBuildStartTime() {
        return buildStartTime;
    }

    @Override
    public ProjectBuilderConfiguration setBuildStartTime(Date buildStartTime) {
        this.buildStartTime = buildStartTime;
        return this;
    }

     * @throws Exception
     */
    @Test
    public void testGetAsObjectAndGetAsString() throws Exception {
        final SqlDateConverter converter = new SqlDateConverter("yyyy/MM/dd");
        final java.sql.Date result = (java.sql.Date) converter.getAsObject("2008/01/16");
        System.out.println(result);
        assertThat(converter.getAsString(result), is("2008/01/16"));
    }

    /**
     * @throws Exception
     */
    @Test

# Extra Data Types { #extra-data-types }

Up to now, you have been using common data types, like:

* `int`
* `float`
* `str`
* `bool`

But you can also use more complex data types.

And you will still have the same features as seen up to now:

* Great editor support.
* Data conversion from incoming requests.
* Data conversion for response data.
* Data validation.
* Automatic annotation and documentation.

rue,\"readFromDocValues\":true},{\"name\":\"clientIp\",\"type\":\"string\",\"esTypes\":[\"keyword\"],\"count\":0,\"scripted\":false,\"searchable\":true,\"aggregatable\":true,\"readFromDocValues\":true},{\"name\":\"createdAt\",\"type\":\"date\",\"esTypes\":[\"date\"],\"count\":0,\"scripted\":false,\"searchable\":true,\"aggregatable\":true,\"readFromDocValues\":true},{\"name\":\"docId\",\"type\":\"string\",\"esTypes\":[\"keyword\"],\"count\":0,\"scripted\":false,\"searchable\":true,\"aggregatable\...