mapreduce.reduce.shuffle.merge.percent=0.9 # Minimum % merges in RAM
mapreduce.reduce.speculative=false # Disable speculation for reducing
mapreduce.task.io.sort.factor=999 # Threshold before writing to disk
mapreduce.task.sort.spill.percent=0.9 # Minimum % before spilling to disk
```

	"fmt"
	"math/rand"
	"net/url"
	"time"

	"github.com/minio/madmin-go/v3"
)

var callhomeLeaderLockTimeout = newDynamicTimeout(30*time.Second, 10*time.Second)

// initCallhome will start the callhome task in the background.
func initCallhome(ctx context.Context, objAPI ObjectLayer) {
	if !globalCallhomeConfig.Enabled() {
		return
	}

	go func() {
		r := rand.New(rand.NewSource(time.Now().UnixNano()))

                return callable.toString();
              }
            });
    executor.execute(task);
    return new ClosingFuture<>(task, closeables);
  }

  /**
   * Starts a {@link ClosingFuture} pipeline by submitting a callable block to an executor.
   *
   * @throws java.util.concurrent.RejectedExecutionException if the task cannot be scheduled for
   *     execution
   * @since 30.1
   */

  }

  /** Tests that the {@link Future#get(long, TimeUnit)} method times out correctly. */
  public void testTimeoutOnGetWorksCorrectly() throws InterruptedException, ExecutionException {

    // The task thread waits for the latch, so we expect a timeout here.
    try {
      future.get(20, MILLISECONDS);
      fail("Should have timed out trying to get the value.");
    } catch (TimeoutException expected) {
    } finally {

  }

  /** Tests that the {@link Future#get(long, TimeUnit)} method times out correctly. */
  public void testTimeoutOnGetWorksCorrectly() throws InterruptedException, ExecutionException {

    // The task thread waits for the latch, so we expect a timeout here.
    try {
      future.get(20, MILLISECONDS);
      fail("Should have timed out trying to get the value.");
    } catch (TimeoutException expected) {
    } finally {

    #
    #; isLoggingReplaceSql = true
    # - - - - - - - - - -/

    # /- - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    # o isErrorSqlContinue: (NotRequired - Default false)
    #  Does it continue the task when error SQL exists?
    #
    #; isErrorSqlContinue = false
    # - - - - - - - - - -/

    # /- - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    # o sqlFileEncoding: (NotRequired - Default 'UTF-8')

Starlette et **FastAPI** sont basés sur
<a href="https://anyio.readthedocs.io/en/stable/" class="external-link" target="_blank">AnyIO</a>, qui les rend
compatibles avec <a href="https://docs.python.org/3/library/asyncio-task.html" class="external-link" target="_blank">asyncio</a>, de la bibliothèque standard Python et
<a href="https://trio.readthedocs.io/en/stable/" class="external-link" target="_blank">Trio</a>.

   * wait for 100 seconds, and /then/ start the actual task. Why wait without doing anything? A much
   * better approach is to /allow/ the request right away (as if it was an acquire(1) request
   * instead), and postpone /subsequent/ requests as needed. In this version, we allow starting the
   * task immediately, and postpone by 100 seconds future requests, thus we allow for work to get

import org.junit.jupiter.api.Test

class ConnectionPoolTest {
  private val routePlanner = FakeRoutePlanner()
  private val factory = routePlanner.factory
  private val peer = MockHttp2Peer()

  /** The fake task runner prevents the cleanup runnable from being started.  */
  private val addressA = factory.newAddress("a")
  private val routeA1 = factory.newRoute(addressA)
  private val addressB = factory.newAddress("b")

    TFE_Context* ctx, const char* task, int64_t timeout_in_ms,
    TF_Status* status) {
  tensorflow::EagerContext* context =
      tensorflow::ContextFromInterface(tensorflow::unwrap(ctx));
  auto collective_executor_handle = context->GetCollectiveExecutorHandle();
  absl::Notification done;
  collective_executor_handle->get()->remote_access()->CheckPeerHealth(
      task, timeout_in_ms, [&done, status](const Status& s) {