try {
              proceed.await(5, TimeUnit.SECONDS)
            } catch (e: InterruptedException) {
              throw RuntimeException(e)
            }
            chain.proceed(chain.request())
          },
        ).build()
    val t1 = makeSynchronousCall(client.newCall(newRequest("http://a/3")))
    ready.await(5, TimeUnit.SECONDS)
    executor.finishJob("http://a/2")

 * limitations under the License.
 */

package com.google.common.util.concurrent;

import static com.google.common.util.concurrent.MoreExecutors.directExecutor;
import static java.util.concurrent.TimeUnit.SECONDS;

import com.google.caliper.AfterExperiment;
import com.google.caliper.BeforeExperiment;
import com.google.caliper.Benchmark;
import com.google.caliper.Param;
import com.google.caliper.api.Footprint;

    assertThat("Thu, 01 Jan 1970 00:00:00 GMT JUNK".toHttpDateOrNull()!!.time).isEqualTo(0L)
    // Missing timezones treated as bad.
    assertThat("Thu, 01 Jan 1970 00:00:00".toHttpDateOrNull()).isNull()
    // Missing seconds treated as bad.
    assertThat("Thu, 01 Jan 1970 00:00 GMT".toHttpDateOrNull()).isNull()
    // Extra spaces treated as bad.
    assertThat("Thu,  01 Jan 1970 00:00 GMT".toHttpDateOrNull()).isNull()

        assertEquals(20, bytesRead);
        assertEquals(0x0010, response.getAttributes());
        // getLastWriteTime returns lastWriteTime (from readUTime) + serverTimeZoneOffset
        // readUTime multiplies the seconds value by 1000, and writeUTime divides milliseconds by 1000
        // So the round-trip should preserve the milliseconds value
        assertEquals(sampleTimeMillis + serverTimeZoneOffset, response.getLastWriteTime());

import static java.util.concurrent.Executors.newCachedThreadPool;
import static java.util.concurrent.TimeUnit.MILLISECONDS;
import static java.util.concurrent.TimeUnit.NANOSECONDS;
import static java.util.concurrent.TimeUnit.SECONDS;
import static org.junit.Assert.assertThrows;

import com.google.common.base.Stopwatch;
import java.util.ArrayList;
import java.util.Collection;
import java.util.List;
import java.util.concurrent.ArrayBlockingQueue;

                    }
                });
            }

            startLatch.countDown(); // Start all threads
            boolean completed = endLatch.await(10, TimeUnit.SECONDS);
            executor.shutdown();

            assertTrue(completed, "All threads should complete without deadlock");

    dispatcher.enqueue(
      MockResponse
        .Builder()
        .bodyDelay(10, TimeUnit.SECONDS)
        .body("abc")
        .build(),
    )
    dispatcher.enqueue(
      MockResponse
        .Builder()
        .bodyDelay(10, TimeUnit.SECONDS)
        .body("def")
        .build(),
    )
    dispatcher.enqueue(
      MockResponse(body = "ghi"),
    )

        }
      },
    )

    // This should fail the Call, but not cause an unhandled Exception bubbling up
    client.dispatcher.executorService.shutdownNow()

    val exception = callFailure.get(5, TimeUnit.SECONDS)
    assertThat(exception.message).isEqualTo("canceled due to java.lang.InterruptedException")
    assertThat(exception).isInstanceOf<IOException>()
    assertThat(exception.cause)
      .isNotNull()

    * Si on compare Uvicorn, il faut le comparer à d'autre applications de serveurs comme Daphne, Hypercorn, uWSGI, etc.
* **Starlette** :
    * A les seconde meilleures performances après Uvicorn. Starlette utilise en réalité Uvicorn. De ce fait, il ne peut qu’être plus "lent" qu'Uvicorn car il requiert l'exécution de plus de code.

Hierzu zählen beispielsweise:

* E-Mail-Benachrichtigungen, die nach dem Ausführen einer Aktion gesendet werden:
    * Da die Verbindung zu einem E-Mail-Server und das Senden einer E-Mail in der Regel „langsam“ ist (einige Sekunden), können Sie die Response sofort zurücksenden und die E-Mail-Benachrichtigung im Hintergrund senden.
* Daten verarbeiten: