# 'k8s_container.<namespace_name>.<pod_name>.<container_name>'.
        "logging.googleapis.com/local_resource_id" ${"k8s_container.#{tag_suffix[4].rpartition('.')[0].split('_')[1]}.#{tag_suffix[4].rpartition('.')[0].split('_')[0]}.#{tag_suffix[4].rpartition('.')[0].split('_')[2].rpartition('-')[0]}"}
        # Rename the field 'log' to a more generic field 'message'. This way the

    List<List<Integer>> partitions = Lists.partition(source, 2);

    assertTrue(
        "partition should be RandomAccess, but not: " + partitions.getClass(),
        partitions instanceof RandomAccess);

    assertTrue(
        "partition[0] should be RandomAccess, but not: " + partitions.get(0).getClass(),
        partitions.get(0) instanceof RandomAccess);

    assertTrue(

    List<List<Integer>> partitions = Lists.partition(source, 2);

    assertTrue(
        "partition should be RandomAccess, but not: " + partitions.getClass(),
        partitions instanceof RandomAccess);

    assertTrue(
        "partition[0] should be RandomAccess, but not: " + partitions.get(0).getClass(),
        partitions.get(0) instanceof RandomAccess);

    assertTrue(

    PairedStatsAccumulator accumulator = new PairedStatsAccumulator();
    List<List<Double>> xPartitions = Lists.partition(xValues, partitionSize);
    List<List<Double>> yPartitions = Lists.partition(yValues, partitionSize);
    for (int index = 0; index < xPartitions.size(); index++) {
      accumulator.addAll(createPairedStatsOf(xPartitions.get(index), yPartitions.get(index)));
    }
    return accumulator;
  }

			pdqsort(data, mid+1, b, limit)
			b = mid
		}
	}
}

// partition does one quicksort partition.
// Let p = data[pivot]
// Moves elements in data[a:b] around, so that data[i]<p and data[j]>=p for i<newpivot and j>newpivot.
// On return, data[newpivot] = p
func partition(data Interface, a, b, pivot int) (newpivot int, alreadyPartitioned bool) {
	data.Swap(a, pivot)

			pdqsort{{.FuncSuffix}}(data, mid+1, b, limit {{.ExtraArg}})
			b = mid
		}
	}
}

// partition{{.FuncSuffix}} does one quicksort partition.
// Let p = data[pivot]
// Moves elements in data[a:b] around, so that data[i]<p and data[j]>=p for i<newpivot and j>newpivot.
// On return, data[newpivot] = p
func partition{{.FuncSuffix}}{{.TypeParam}}(data {{.DataType}}, a, b, pivot int {{.ExtraParam}}) (newpivot int, alreadyPartitioned bool) {

						Type: appsv1.RollingUpdateStatefulSetStrategyType,
						RollingUpdate: &appsv1.RollingUpdateStatefulSetStrategy{
							Partition: &defaultPartition,
						},
					},
					RevisionHistoryLimit: ptr.To[int32](10),
				},
			},
		},
		{
			name: "UpdateStrategy.RollingUpdate.Partition is not lost when UpdateStrategy.Type is not set",
			original: &appsv1.StatefulSet{
				Spec: appsv1.StatefulSetSpec{

		if wasBalanced && wasPartitioned && hint == increasingHint {
			if partialInsertionSort_func(data, a, b) {
				return
			}
		}

		// Probably the slice contains many duplicate elements, partition the slice into
		// elements equal to and elements greater than the pivot.
		if a > 0 && !data.Less(a-1, pivot) {
			mid := partitionEqual_func(data, a, b, pivot)
			a = mid
			continue
		}

		if wasBalanced && wasPartitioned && hint == increasingHint {
			if partialInsertionSortCmpFunc(data, a, b, cmp) {
				return
			}
		}

		// Probably the slice contains many duplicate elements, partition the slice into
		// elements equal to and elements greater than the pivot.
		if a > 0 && !(cmp(data[a-1], data[pivot]) < 0) {
			mid := partitionEqualCmpFunc(data, a, b, pivot, cmp)
			a = mid
			continue
		}

      }
    }
  }

  /**
   * Partitions the contents of buffer in the range [left, right] around the pivot element
   * previously stored in buffer[pivotValue]. Returns the new index of the pivot element,
   * pivotNewIndex, so that everything in [left, pivotNewIndex] is ≤ pivotValue and everything in
   * (pivotNewIndex, right] is greater than pivotValue.
   */
  private int partition(int left, int right, int pivotIndex) {