import org.codelibs.fess.util.ComponentUtil;
import org.dbflute.exception.IllegalBehaviorStateException;
import org.dbflute.util.DfTypeUtil;

/**
 * @author FreeGen
 */
public class UserBhv extends BsUserBhv {

    private static final String ROLES = "roles";
    private static final String GROUPS = "groups";
    private static final String PASSWORD = "password";

This is due to Java's use of reflection and the need to maintain a lot of metadata.

- **Size of Serialized Data:**
Java serialization tends to produce larger serialized objects because it includes class metadata and other overhead.

- **Flexibility and Control:**

    public static RequestManager getRequestManager() {
        return getComponent(RequestManager.class);
    }

    public static ResponseManager getResponseManager() {
        return getComponent(ResponseManager.class);
    }

    public static JobManager getJobManager() {
        return getComponent(JobManager.class);
    }

    public static DocumentHelper getDocumentHelper() {

}

data class GradleSubproject(val name: String, val path: String, val unitTests: Boolean = true, val functionalTests: Boolean = true, val crossVersionTests: Boolean = false) {
    fun hasTestsOf(testType: TestType) = (unitTests && testType.unitTests) || (functionalTests && testType.functionalTests) || (crossVersionTests && testType.crossVersionTests)
}

data class Stage(
    val stageName: StageName,

import org.codelibs.curl.Curl.Method;
import org.codelibs.curl.io.ContentCache;
import org.codelibs.curl.io.ContentOutputStream;

public class CurlRequest {

    protected static final String GZIP = "gzip";

    protected static final Logger logger = Logger.getLogger(CurlRequest.class.getName());

    protected String url;

    protected Proxy proxy;

    protected String encoding = "UTF-8";

{!../../docs_src/python_types/tutorial010.py!}
```

Ve yine bütün editör desteğini alırsınız:

<img src="/img/python-types/image06.png">

## Pydantic modelleri

<a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> veri doğrulaması yapmak için bir Python kütüphanesidir.

Verilerin "biçimini" niteliklere sahip sınıflar olarak düzenlersiniz.

Ve her niteliğin bir türü vardır.

            emptyList(),
            extraParameters = "-PonlyTestGradleVersion=$startInclusive-$endExclusive"
        )
    }
}

data class TestClassAndSourceSet(
    val testClass: String,
    val sourceSet: String
)

data class SmallSubprojectBucket(
    val subprojects: List<GradleSubproject>,
    val parallelizationMethod: ParallelizationMethod
) : BuildTypeBucket {

 *
 * @author Kurt Alfred Kluever
 */
@GwtCompatible(emulated = true)
@ElementTypesAreNonnullByDefault
public class EvictingQueueTest extends TestCase {

  public void testCreateWithNegativeSize() throws Exception {
    assertThrows(IllegalArgumentException.class, () -> EvictingQueue.create(-1));
  }

  public void testCreateWithZeroSize() throws Exception {

    }

    @Override
    public String getDescription() {
        return "Reports incorrect usages of integration test fixtures";
    }

    @Override
    protected Class<?> getAstVisitorClass() {
        return IntegrationTestFixtureVisitor.class;
    }

from fastapi import FastAPI, Form
from pydantic import BaseModel
from typing_extensions import Annotated

app = FastAPI()


class FormData(BaseModel):
    username: str
    password: str

    class Config:
        extra = "forbid"


@app.post("/login/")
async def login(data: Annotated[FormData, Form()]):