public static final int DEFAULT_INTERVAL_TIME_FOR_FS = 1000;

    /** Default interval time in milliseconds for web crawling. */
    public static final int DEFAULT_INTERVAL_TIME_FOR_WEB = 10000;

    /** Default number of threads for file system crawling. */
    public static final int DEFAULT_NUM_OF_THREAD_FOR_FS = 5;

    /** Default number of threads for web crawling. */

  }

  public void testByteArrayRoundTrips() {
    Random r = new Random(5);
    byte[] b = new byte[Ints.BYTES];

    // total overkill, but, it takes 0.1 sec so why not...
    for (int i = 0; i < 10000; i++) {
      int num = r.nextInt();
      assertThat(Ints.fromByteArray(Ints.toByteArray(num))).isEqualTo(num);

      r.nextBytes(b);
      assertThat(Ints.toByteArray(Ints.fromByteArray(b))).isEqualTo(b);
    }

    assertThat(Lists.<Object>cartesianProduct(x, y))
        .containsExactly(exp1, exp2, exp3, exp4)
        .inOrder();
  }

  public void testCartesianProductTooBig() {
    List<String> list = nCopies(10000, "foo");
    assertThrows(
        IllegalArgumentException.class, () -> cartesianProduct(list, list, list, list, list));
  }

  public void testTransformHashCodeRandomAccess() {

    }

    @Test
    @DisplayName("Should generate multiple unique nonces without collision")
    void testGenerateMultipleNoncesNoCollision() {
        // Given
        int count = 10000; // Test with larger number for collision detection
        Set<String> nonceSet = new HashSet<>();

        // When
        for (int i = 0; i < count; i++) {
            byte[] nonce = encryptionContext.generateNonce();

				ts := int64(attrBuf.uint64()) // ModTime since Windows epoch
				secs := ts / ticksPerSecond
				nsecs := (1e9 / ticksPerSecond) * (ts % ticksPerSecond)
				epoch := time.Date(1601, time.January, 1, 0, 0, 0, 0, time.UTC)
				modified = time.Unix(epoch.Unix()+secs, nsecs)
			}
		case unixExtraID, infoZipUnixExtraID:
			if len(fieldBuf) < 8 {
				continue parseExtras
			}

      builder.add(i);
    }
    for (int j = 0; j < 1000; j++) {
      builder.add(9);
    }
    ImmutableSortedSet<Integer> unused = builder.build();
    assertThat(compares[0]).isAtMost(10000);
    // hopefully something quadratic would have more digits
  }

func newBatchJobPool(ctx context.Context, o ObjectLayer, workers int) *BatchJobPool {
	jpool := &BatchJobPool{
		ctx:          ctx,
		objLayer:     o,
		jobCh:        make(chan *BatchJobRequest, 10000),
		workerKillCh: make(chan struct{}, workers),
		jobCancelers: make(map[string]context.CancelFunc),
	}
	jpool.ResizeWorkers(workers)

	randomWait := func() time.Duration {

	dataScannerCompactLeastObject    = 500                              // Compact when there is less than this many objects in a branch.
	dataScannerCompactAtChildren     = 10000                            // Compact when there are this many children in a branch.
	dataScannerCompactAtFolders      = dataScannerCompactAtChildren / 4 // Compact when this many subfolders in a single folder.

	}

	// create listObjectsV1 request with valid parameters
	request, err := newTestSignedRequest(http.MethodGet, getListObjectVersionsURL(s.endPoint, bucketName, "", "1000", ""),
		0, nil, s.accessKey, s.secretKey, s.signer)
	c.Assert(err, nil)
	// execute the HTTP request.
	response, err = s.client.Do(request)
	c.Assert(err, nil)
	c.Assert(response.StatusCode, http.StatusOK)

## Changes since v1.1.1

### Major Themes

  * <strong>Significant scale improvements</strong>. Increased cluster scale by 400% to 1000 nodes with 30,000 pods per cluster.
Kubelet supports 100 pods per node with 4x reduced system overhead.
  * <strong>Simplified application deployment and management. </strong>