.md-footer-meta {
  padding-bottom: 2em;
}

.user-list {
  display: flex;
  flex-wrap: wrap;
  margin-bottom: 2rem;
}

.user-list-center {
  justify-content: space-evenly;
}

.user {
  margin: 1em;
  min-width: 7em;
}

.user .avatar-wrapper {
  width: 80px;
  height: 80px;
  margin: 10px auto;
  overflow: hidden;
  border-radius: 50%;
  position: relative;

// NUMA nodes to allocate any 'remainder' CPUs from (in cases where the total
// number of CPUs to allocate cannot be evenly distributed across the chosen
// set of NUMA nodes). This "balance score" is calculated as the standard
// deviation of how many CPUs will be available on each NUMA node after all
// evenly distributed and remainder CPUs are allocated. The subset with the

     * guard instead.
     */
    public static <T> ProducerGuard<T> adaptive() {
        return new AdaptiveProducerGuard<T>();
    }

    /**
     * Creates a {@link ProducerGuard} which evenly spreads calls over a fixed number of locks.
     * This means that in some cases two different keys can block on the same lock. The benefit of
     * this strategy is that it uses only a fixed amount of memory. If your code depends on

        return mlir::emitError(
            location,
            llvm::formatv(
                "incorrect input sharding configuration received. "
                "{0}-th dimension of the input must be evenly divisible by {1}",
                split_dimension, num_split));
      }

      shape[split_dimension] = shape[split_dimension] / num_split;
      output_type =

        try {
          assertEquals(p + "/" + q, p, IntMath.divide(p, q, UNNECESSARY) * q);
          assertTrue(p + "/" + q + " not expected to divide evenly", dividesEvenly);
        } catch (ArithmeticException e) {
          assertFalse(p + "/" + q + " expected to divide evenly", dividesEvenly);
        }
      }
    }
  }

  public void testZeroDivIsAlwaysZero() {
    for (int q : NONZERO_INTEGER_CANDIDATES) {

	return ep, nil
}

// GetAllSets - parses all ellipses input arguments, expands them into
// corresponding list of endpoints chunked evenly in accordance with a
// specific set size.
// For example: {1...64} is divided into 4 sets each of size 16.
// This applies to even distributed setup syntax as well.
func GetAllSets(setDriveCount uint64, args ...string) ([][]string, error) {
	var setArgs [][]string

  if (num_replicated_inputs % n != 0)
    return op.emitOpError()
           << "expects number of replicated inputs (" << num_replicated_inputs
           << ") to be evenly divisible by 'n' (" << n << ")";

  const int32_t num_replicated_block_args = num_replicated_inputs / n;
  if (num_replicated_block_args + num_packed_inputs != block.getNumArguments())
    return op.emitOpError()

	// and store the resulting archive to the checkpoint directory.
	CheckpointContainer(ctx context.Context, options *runtimeapi.CheckpointContainerRequest) error
	// Generate pod status from the CRI event
	GeneratePodStatus(event *runtimeapi.ContainerEventResponse) (*PodStatus, error)
	// ListMetricDescriptors gets the descriptors for the metrics that will be returned in ListPodSandboxMetrics.

      # We should change it at some point, but note #18545 when changing this.
      group_name="${NODE_INSTANCE_PREFIX}-group"
    fi
    # Spread the remaining number of nodes evenly
    this_mig_size=$((instances_left / (NUM_MIGS - i + 1)))
    instances_left=$((instances_left - this_mig_size))

    # Run instance-groups creation in parallel.
    {

// It must be very cheap to calculate.
// For now, align to goarch.PtrSize and reduce mod the number of entries.
// In practice, this appears to be fairly randomly and evenly distributed.
func pcvalueCacheKey(targetpc uintptr) uintptr {
	return (targetpc / goarch.PtrSize) % uintptr(len(pcvalueCache{}.entries))
}

// Returns the PCData value, and the PC where this value starts.