tensorflow::DataType dtype, void* data,
                               TFE_CustomDeviceTensorHandleMethods methods)
      : tensorflow::CustomDeviceTensorHandle(context, device, dtype),
        data_(data),
        methods_(methods) {}

  ~CAPICustomDeviceTensorHandle() override { methods_.deallocator(data_); }
  void* DevicePointer() const override { return data_; }
  absl::Status NumDims(int* num_dims) const override {

    assertFalse(compound.isDone());
    future1.set(DATA1);
    assertFalse(compound.isDone());
    future2.set(DATA2);
    assertFalse(compound.isDone());
    listener.expectCall();
    future3.set(DATA3);
    assertTrue(listener.wasCalled());

    List<String> results = getDone(compound);
    assertThat(results).containsExactly(DATA1, DATA2, DATA3).inOrder();
  }

    assertFalse(compound.isDone());
    future1.set(DATA1);
    assertFalse(compound.isDone());
    future2.set(DATA2);
    assertFalse(compound.isDone());
    listener.expectCall();
    future3.set(DATA3);
    assertTrue(listener.wasCalled());

    List<String> results = getDone(compound);
    assertThat(results).containsExactly(DATA1, DATA2, DATA3).inOrder();
  }

        // Test case 1: Standard padding
        final byte[] data1 = "abc".getBytes();
        assertEquals("YWJj", Base64Util.encode(data1));

        // Test case 2: Single padding
        final byte[] data2 = "abcd".getBytes();
        assertEquals("YWJjZA==", Base64Util.encode(data2));

        // Test case 3: Double padding
        final byte[] data3 = "abcde".getBytes();

        crawlJob.dataConfigIds(new String[] { "data1", "data2", "data3" });

        String result = crawlJob.execute();

        assertNotNull(result);
        assertTrue(result.contains("Web  Config Id: web1 web2"));
        assertTrue(result.contains("File Config Id: file1"));
        assertTrue(result.contains("Data Config Id: data1 data2 data3"));
    }

    // Test execute method with sessionId already set

        options.dataConfigIds = "data1,data2,data3,data4";

        List<String> result = options.getDataConfigIdList();
        assertNotNull(result);
        assertEquals(4, result.size());
        assertTrue(result.contains("data1"));
        assertTrue(result.contains("data2"));
        assertTrue(result.contains("data3"));
        assertTrue(result.contains("data4"));
    }

    @Test

# Veri Akışı { #stream-data }

Veriyi JSON olarak yapılandırabiliyorsanız, [JSON Lines Akışı](../tutorial/stream-json-lines.md) kullanın.

Ancak saf ikili (binary) veri ya da string akıtmak istiyorsanız, bunu şöyle yapabilirsiniz.

/// info | Bilgi

FastAPI 0.134.0 ile eklendi.

///

## Kullanım Senaryoları { #use-cases }

Doğrudan bir AI LLM (Büyük Dil Modeli) servisinin çıktısından saf string'leri akıtmak istediğinizde kullanabilirsiniz.

# Daten streamen { #stream-data }

Wenn Sie Daten streamen möchten, die als JSON strukturiert werden können, sollten Sie [JSON Lines streamen](../tutorial/stream-json-lines.md).

Wenn Sie jedoch **reine Binärdaten** oder Strings streamen möchten, so können Sie es machen.

/// info | Info

Hinzugefügt in FastAPI 0.134.0.

///

## Anwendungsfälle { #use-cases }

# Transmitir dados { #stream-data }

Se você quer transmitir dados que podem ser estruturados como JSON, você deveria [Transmitir JSON Lines](../tutorial/stream-json-lines.md).

Mas se você quer transmitir dados binários puros ou strings, veja como fazer.

/// info | Informação

Adicionado no FastAPI 0.134.0.

///

## Casos de uso { #use-cases }

 */
@NullUnmarked
@GwtIncompatible
@J2ktIncompatible
public class JdkFutureAdaptersTest extends TestCase {
  private static final String DATA1 = "data";

  public void testListenInPoolThreadReturnsSameFuture() throws Exception {
    ListenableFuture<String> listenableFuture = immediateFuture(DATA1);
    assertThat(listenInPoolThread(listenableFuture)).isSameInstanceAs(listenableFuture);
  }