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.

    }

    @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()]):

   * <pre>{@code
   * // Falling back to a zero counter in case an exception happens when processing the RPC to fetch
   * // counters.
   * ListenableFuture<Integer> faultTolerantFuture =
   *     fetchCounters().catching(FetchException.class, x -> 0, directExecutor());
   * }</pre>
   *
   * <p>When selecting an executor, note that {@code directExecutor} is dangerous in some cases. See

    }
  }

  public void testPriority_tooLow() {
    assertThrows(
        IllegalArgumentException.class, () -> builder.setPriority(Thread.MIN_PRIORITY - 1));
  }

  public void testPriority_tooHigh() {
    assertThrows(
        IllegalArgumentException.class, () -> builder.setPriority(Thread.MAX_PRIORITY + 1));
  }

  public void testUncaughtExceptionHandler_custom() {
    assertEquals(

package jcifs.smb1.dcerpc;

import jcifs.smb1.dcerpc.ndr.*;
import jcifs.smb1.util.*;

public class rpc {

    public static class uuid_t extends NdrObject {

        public int time_low;
        public short time_mid;
        public short time_hi_and_version;
        public byte clock_seq_hi_and_reserved;
        public byte clock_seq_low;
        public byte[] node;

        public void encode(NdrBuffer _dst) throws NdrException {