helper.poll();
        assertTrue(heartbeatCalled.get());
        assertTrue(cleanupCalled.get());
    }

    @Test
    public void test_poll_dispatchesEvents() {
        // Verify that poll fetches events and dispatches them
        final AtomicInteger dispatchCount = new AtomicInteger(0);
        final CoordinatorHelper helper = new CoordinatorHelper() {
            @Override

    public void pitSegments(final PitSegmentsRequest pitSegmentsRequest, final ActionListener<IndicesSegmentResponse> listener) {
        client.pitSegments(pitSegmentsRequest, listener);
    }

    /**
     * Searches a view asynchronously (not implemented).
     *
     * @param request  the search view request
     * @param listener the response listener

* Il peut y avoir **plusieurs processus** du **même programme** exécutés simultanément.

Si vous ouvrez le « gestionnaire des tâches » ou le « moniteur système » (ou des outils similaires) de votre système d'exploitation, vous verrez nombre de ces processus en cours d'exécution.

	ExecObjectLayerAPITest(ExecObjectLayerAPITestArgs{t: t, objAPITest: testGetBucketPolicyHandler, endpoints: []string{"PutBucketPolicy", "GetBucketPolicy"}})
}

// testGetBucketPolicyHandler - Test for end point which fetches the access policy json of the given bucket.
func testGetBucketPolicyHandler(obj ObjectLayer, instanceType, bucketName string, apiRouter http.Handler,
	credentials auth.Credentials, t *testing.T,
) {

	// Keep destination...
	// Write results to disk.
	bw := newMetacacheBlockWriter(entries, func(b *metacacheBlock) error {
		// if the block is 0 bytes and its a first block skip it.
		// skip only this for Transient caches.
		if len(b.data) == 0 && b.n == 0 && o.Transient {
			return nil
		}
		o.debugln(color.Green("saveMetaCacheStream:")+" saving block", b.n, "to", o.objectPath(b.n))

// Furthermore if a has more than dataScannerCompactAtChildren recursive children (uncompacted folders)
// the tree will be recursively scanned and the branches with the least number of objects will be
// compacted until the limit is reached.
//
// This ensures that any branch will never contain an unreasonable amount of other branches,
// and also that small branches with few objects don't take up unreasonable amounts of space.

				}
				if m.blocks == block {
					if len(combined) != m.partSize {
						fmt.Println("Combined size mismatch. Expected", m.partSize, "got", len(combined))
					}
					fmt.Println("Reached block", block+1, "of", m.blocks+1, "for", key, "Done.")
					break
				}
			}
			if lastValidAll == 0 {
				return errors.New("no valid data found")
			}

        if (StringUtil.isNotBlank(name) && value != null) {
            httpClientPropertyMap.put(name, value);
        }
    }

    /**
     * Processes robots.txt for the given URL.
     * This method fetches and parses the robots.txt file to extract disallow/allow rules
     * and sitemap information.
     *
     * @param url The URL to process robots.txt for
     */
    protected void processRobotsTxt(final String url) {

		go func(index int) {
			defer wg.Done()
			errs[index] = sys.peerClients[index].ReloadSiteReplicationConfig(ctx)
		}(index)
	}

	wg.Wait()
	return errs
}

// GetLastDayTierStats fetches per-tier stats of the last 24hrs from all peers
func (sys *NotificationSys) GetLastDayTierStats(ctx context.Context) DailyAllTierStats {
	errs := make([]error, len(sys.allPeerClients))

	// is too large we are basically just thrashing the CPU D-cache.
	// So if the result length is larger than an empirically-found
	// limit (8KB), we stop growing the source string once the limit
	// is reached and keep reusing the same source string - that
	// should therefore be always resident in the L1 cache - until we
	// have completed the construction of the result.
	// This yields significant speedups (up to +100%) in cases where