"type": "prometheus",
                  "uid": "$datasource"
               },
               "expr": "sum by (pod) (go_memstats_heap_alloc_bytes{app=\"istiod\"})",
               "legendFormat": "Heap (Allocated) ({{pod}})"
            }
         ],
         "title": "Memory Usage",
         "type": "timeseries"
      },
      {
         "datasource": {
            "type": "datasource",

    // If the factorial is small enough, just use LongMath to do it.
    if (n < LongMath.factorials.length) {
      return BigInteger.valueOf(LongMath.factorials[n]);
    }

    // Pre-allocate space for our list of intermediate BigIntegers.
    int approxSize = IntMath.divide(n * IntMath.log2(n, CEILING), Long.SIZE, CEILING);
    ArrayList<BigInteger> bignums = new ArrayList<>(approxSize);

' | kubectl apply --kubeconfig="$KUBECONFIG" -f -

}

function cidr_to_ips() {
    CIDR="$1"
    # cidr_to_ips returns a list of single IPs from a CIDR. We skip 1000 (since they are likely to be allocated
    # already to other services), then pick the next 100.
    python3 - <<EOF
from ipaddress import ip_network, IPv6Network;
from itertools import islice;

net = ip_network('$CIDR')

                                                TF_Status* status);

// Execute the operation defined by 'op' and return handles to computed
// tensors in `retvals`.
//
// 'retvals' must point to a pre-allocated array of TFE_TensorHandle* and
// '*num_retvals' should be set to the size of this array. It is an error if
// the size of 'retvals' is less than the number of outputs. This call sets
// *num_retvals to the number of outputs.

      csum ^= crc;
      for (int i = 0; i < 4; i++) {
        csum = (csum >>> 8) ^ BYTE_TABLE[csum & 0xFF];
      }
      return csum;
    }

    private static final ByteBuffer EMPTY = ByteBuffer.allocate(0);
  }

            new ArrayBlockingQueue<Runnable>(1000));
    executorService.prestartAllCoreThreads();
    final AtomicInteger integer = new AtomicInteger();
    // Execute a bunch of tasks to ensure that our threads are allocated and hot
    for (int i = 0; i < NUM_THREADS * 10; i++) {
      @SuppressWarnings("unused") // https://errorprone.info/bugpattern/FutureReturnValueIgnored
      Future<?> possiblyIgnoredError =

			t.Errorf("Test %d: Expected %v but received %v -> %#v", tt.name, got, tt.want, tt)
		}
	}
}

// newTestXLMetaV1 - initializes new xlMetaV1Object, adds version, allocates a fresh erasure info and metadata.
func newTestXLMetaV1() xlMetaV1Object {
	xlMeta := xlMetaV1Object{}
	xlMeta.Version = xlMetaVersion101
	xlMeta.Format = xlMetaFormat
	xlMeta.Minio.Release = "test"

        result);
    return (int) result;
  }

  /**
   * Returns a big-endian representation of {@code value} in a 2-element byte array; equivalent to
   * {@code ByteBuffer.allocate(2).putChar(value).array()}. For example, the input value {@code
   * '\\u5432'} would yield the byte array {@code {0x54, 0x32}}.
   *

        result);
    return (int) result;
  }

  /**
   * Returns a big-endian representation of {@code value} in a 2-element byte array; equivalent to
   * {@code ByteBuffer.allocate(2).putShort(value).array()}. For example, the input value {@code
   * (short) 0x1234} would yield the byte array {@code {0x12, 0x34}}.
   *

        result);
    return (int) result;
  }

  /**
   * Returns a big-endian representation of {@code value} in a 2-element byte array; equivalent to
   * {@code ByteBuffer.allocate(2).putShort(value).array()}. For example, the input value {@code
   * (short) 0x1234} would yield the byte array {@code {0x12, 0x34}}.
   *