taketa.oita.jp taketomi.okinawa.jp taki.mie.jp takikawa.hokkaido.jp takino.hyogo.jp takinoue.hokkaido.jp takko.aomori.jp tako.chiba.jp taku.saga.jp talk tama.tokyo.jp tamakawa.fukushima.jp tamaki.mie.jp tamamura.gunma.jp tamano.okayama.jp tamatsukuri.ibaraki.jp tamayu.shimane.jp tamba.hyogo.jp tana.no tanabe.kyoto.jp tanabe.wakayama.jp tanagura.fukushima.jp tananger.no tank.museum tanohata.iwate.jp taobao tara.saga.jp tarama.okinawa.jp taranto.it target targi.pl tarnobrzeg.pl tarui.gifu.jp tarumizu.kagoshima.jp...

It's called "asynchronous" because the computer / program doesn't have to be "synchronized" with the slow task, waiting for the exact moment that the task finishes, while doing nothing, to be able to take the task result and continue the work.

3. Make sure the file with accepted changes is sorted.\
Use the `./gradlew :architecture-test:sortAcceptedApiChanges` task to sort the file.

4. Validate your changes before committing.\
Run the `./gradlew sanityCheck` task again to make sure there are no more errors.

#### Filtering changes by severity

  const auto& shape = reader->GetVariableToShapeMap().at(name);
  int rank = shape.dims();
  if (num_dims != rank) {
    status->status = InvalidArgument("Expected rank is ", num_dims,
                                     " but actual rank is ", rank);
    return;
  }
  for (int i = 0; i < num_dims; i++) {
    dims[i] = shape.dim_size(i);
  }
}

      "FINE: Q10000 scheduled after 100 µs: task",
      "FINE: Q10000 starting              : task",
      "FINE: Q10000 run again after  50 µs: task",
      "FINE: Q10000 finished run in   0 µs: task",
      "FINE: Q10000 starting              : task",
      "FINE: Q10000 run again after 150 µs: task",
      "FINE: Q10000 finished run in   0 µs: task",
      "FINE: Q10000 starting              : task",

        tasks.withType(AsciidoctorTask.class).configureEach(task -> {
            if (task.getName().equals("asciidoctor")) {
                // ignore this task
                task.setEnabled(false);
                return;
            }

            task.setExecutionMode(ExecutionMode.OUT_OF_PROCESS);
            task.outputOptions(options -> {
                options.setSeparateOutputDirs(false);

Dennoch ist das schlussendliche Benutzererlebnis nicht das Beste. 😞

---

Dies wäre die parallele äquivalente Geschichte für Hamburger. 🍔

Für ein „realeres“ Beispiel hierfür, stellen Sie sich eine Bank vor.

Bis vor kurzem hatten die meisten Banken mehrere Kassierer 👨‍💼👨‍💼👨‍💼👨‍💼 und eine große Warteschlange 🕙🕙🕙🕙🕙🕙🕙🕙.

Alle Kassierer erledigen die ganze Arbeit mit einem Kunden nach dem anderen 👨‍💼⏯.

            assertHasErrors("Method com.example.Task.getFailOnError(): Is not annotated with @since 2.0.")
            assertHasAccepted(
                "Method com.example.Task.getFailOnError(): Is not annotated with @Incubating. Reason for accepting this: Upgraded property" to listOf("Method added to public class", "Abstract method has been added to this class"),

                hasSetRunning = true;
              }
            }
            task = queue.poll();
            if (task == null) {
              workerRunningState = IDLE;
              return;
            }
          }
          // Remove the interrupt bit before each task. The interrupt is for the "current task" when
          // it is sent, so subsequent tasks in the queue should not be caused to be interrupted

              }
            });
    Runnable task =
        new Runnable() {
          @Override
          public void run() {
            numCalls.incrementAndGet();
          }
        };
    assertThrows(RejectedExecutionException.class, () -> executor.execute(task));
    assertEquals(0, numCalls.get());
    reject.set(false);
    executor.execute(task);
    assertEquals(1, numCalls.get());
  }