setUp(protocol)
    server.enqueue(MockResponse(body = "A"))
    server.enqueue(MockResponse(body = "A"))
    val executor = Executors.newCachedThreadPool(threadFactory("HttpOverHttp2Test"))
    val countDownLatch = CountDownLatch(2)
    executor.execute(AsyncRequest("/r1", countDownLatch))
    executor.execute(AsyncRequest("/r2", countDownLatch))
    countDownLatch.await()
    assertThat(server.takeRequest().exchangeIndex).isEqualTo(0)

 * <li>{@link #normalizer} - Normalizer.
 * <li>{@link #analyzer} - Suggest analyzer.
 * <li>{@link #contentsParser} - Contents parser.
 * <li>{@link #suggestWriter} - Suggest writer.
 * <li>{@link #threadPool} - Executor service for thread pool.
 * </ul>
 */
public class SuggestIndexer {
    private final static Logger logger = LogManager.getLogger(SuggestIndexer.class);

    /** The suggest analyzer. */

        assertTrue(result.contains("Session Id: " + existingSessionId));
        assertEquals(existingSessionId, suggestJob.sessionId);
    }

    // Test execute method with job executor shutdown listener
    public void test_execute_withJobExecutor() {
        createRequiredDirectories();
        MockJobExecutor mockJobExecutor = new MockJobExecutor();
        suggestJob.jobExecutor(mockJobExecutor);

build:rbe_base --config=use_tar_archive_files
build:rbe_base --config=resultstore
build:rbe_base --repo_env=BAZEL_DO_NOT_DETECT_CPP_TOOLCHAIN=1
build:rbe_base --define=EXECUTOR=remote
build:rbe_base --jobs=800
build:rbe_base --remote_executor=grpcs://remotebuildexecution.googleapis.com
build:rbe_base --remote_timeout=3600
build:rbe_base --spawn_strategy=remote,worker,standalone,local

    visibility = ["//visibility:public"],
    win_def_file = ":tensorflow_filtered_def_file",
)

# To avoid duplication, check that the C++ or python library does not depend on
# the stream executor cuda plugins. Targets that want to use cuda APIs should
# instead depend on the dummy plugins in //tensorflow/compiler/xla/tsl/platform/default/build_config
# and use header only targets.

 * href="https://www.javadoc.io/doc/com.github.ben-manes.caffeine/caffeine/latest/com.github.benmanes.caffeine/com/github/benmanes/caffeine/cache/AsyncCacheLoader.html#asyncLoad(K,java.util.concurrent.Executor)">{@code
 * AsyncCacheLoader.asyncLoad}</a> must return a {@code CompletableFuture}. Users of Guava's {@link
 * com.google.common.util.concurrent.ListenableFuture} can adapt between the two {@code Future}

 * if you are writing a application that needs to aggressively release unused resources you may do
 * so.
 *
 * Shutdown the dispatcher's executor service with [shutdown()][ExecutorService.shutdown]. This will
 * also cause future calls to the client to be rejected.
 *
 * ```java
 * client.dispatcher().executorService().shutdown();
 * ```
 *

        .body("def")
        .throttleBody(1, 750, TimeUnit.MILLISECONDS)
        .build(),
    )
    val call = client.newCall(Request(server.url("/a")))
    val executor = Executors.newSingleThreadExecutor()
    val result = executor.submit<Response?> { call.execute() }
    Thread.sleep(100) // wait for it to go in flight.
    call.cancel()
    assertFailsWith<IOException> {
      result.get()!!.body.bytes()

    implementation("org.bouncycastle:bcprov-jdk15on:1.60")
    implementation("org.conscrypt:conscrypt-openjdk-uber:1.4.0")
    implementation("com.squareup.okio:okio:1.15.0")
    ```

 *  Fix: Handle dispatcher executor shutdowns gracefully. When there aren't any threads to carry a
    call its callback now gets a `RejectedExecutionException`.
 *  Fix: Don't permanently cache responses with `Cache-Control: immutable`. We misunderstood the

# Script template for job execution.
job.template.script=return container.getComponent("crawlJob").logLevel("info").webConfigIds([{0}] as String[]).fileConfigIds([{1}] as String[]).dataConfigIds([{2}] as String[]).jobExecutor(executor).execute();
# Maximum number of crawler processes.
job.max.crawler.processes=0
# Default script language for jobs.
job.default.script=groovy
# Pattern to filter system properties for jobs.