"y": 0
               },
               "id": 8,
               "interval": "1m",
               "options": {
                  "calculate": true,
                  "calculation": {
                     "xBuckets": {
                        "mode": "size",
                        "value": "1min"
                     }
                  },
                  "cellGap": 2,

         "gridPos": {
            "h": 10,
            "w": 8,
            "x": 8,
            "y": 14
         },
         "id": 13,
         "interval": "1m",
         "options": {
            "calculation": {
               "xBuckets": {
                  "mode": "size",
                  "value": "1min"
               }
            },
            "cellGap": 0,
            "color": {

			if d <= prevD {
				prevD = d
				setSize = cnt
			}
		}
	}
	return setSize
}

// possibleSetCountsWithSymmetry returns symmetrical setCounts based on the
// input argument patterns, the symmetry calculation is to ensure that
// we also use uniform number of drives common across all ellipses patterns.
func possibleSetCountsWithSymmetry(setCounts []uint64, argPatterns []ellipses.ArgPattern) []uint64 {

        /**
         * Returns the algorithm end result as string, never {@code null}. After invoking this method, this instance should
         * be discarded and not reused. For new checksum calculation you have to get new instance.
         */
        @Nonnull
        String checksum();
    }

	if objectSize > maxMultipartPutObjectSize {
		err = errors.New("entity too large")
		return
	}

	configuredPartSize := minPartSize
	// Use floats for part size for all calculations to avoid
	// overflows during float64 to int64 conversions.
	partSizeFlt := float64(objectSize / maxPartsCount)
	partSizeFlt = math.Ceil(partSizeFlt/float64(configuredPartSize)) * float64(configuredPartSize)

            .size());

    // Almost force an overflow in the binomial coefficient calculation
    assertEquals(
        1391975640 /*C(34,14)*/,
        Collections2.orderedPermutations(concat(nCopies(20, 1), nCopies(14, 2))).size());
    // Do force an overflow in the binomial coefficient calculation
    assertEquals(
        Integer.MAX_VALUE,

    /**
    * Sent by the server in the Type 2 message to indicate that it is
    * including a Target Information block in the message.  The Target
    * Information block is used in the calculation of the NTLMv2 response.
    */
    public static final int NTLMSSP_NEGOTIATE_TARGET_INFO = 0x00800000;

    /**
    * Indicates that 128-bit encryption is supported.
    */

    will be enforced on all pods by default. To opt-out set
    `--enforce-node-allocatable=””`
  * Hard Eviction Thresholds will be subtracted from Capacity while calculating
    Node Allocatable. This will result in a reduction of schedulable capacity in
    clusters post upgrade where kubelet hard eviction has been turned on for

  - Remove redundant log lines and reduce severity around parsing kubeEnv
  - Don't treat nodes created by virtual kubelet as nodes from non-autoscaled node groups
  - Remove redundant logging around calculating node utilization
  - Add configurable `--network` and `--rm` flags for docker in `Makefile`
  - Subtract DaemonSet pods' requests from node allocatable in the denominator while computing node utilization

      return;
    }

    xStats.addAll(values.xStats());
    if (yStats.count() == 0) {
      sumOfProductsOfDeltas = values.sumOfProductsOfDeltas();
    } else {
      // This is a generalized version of the calculation in add(double, double) above. Note that
      // non-finite inputs will have sumOfProductsOfDeltas = NaN, so non-finite values will result
      // in NaN naturally.
      sumOfProductsOfDeltas +=