* first call [KaFlexibleType.upperBound] or [KaFlexibleType.lowerBound] and then call this method.
     *
     * @param shouldApproximate whether to approximate non-denotable types. For example, super type of `List<out String>` is
     * `Collection<CAPTURED out String>`. With approximation set to true, `Collection<out String>` is returned instead.
     */

//
// Render plot progressively so rough outline is visible quickly even
// for very complex MUTs. Start by computing just a few window sizes
// and then add more window sizes.
//
// Consider using sampling to compute an approximate MUT. This would
// work by sampling the mutator utilization at randomly selected
// points in time in the trace to build an empirical distribution. We
// could potentially put confidence intervals on these estimates and

}

type Reporter struct {
	mu sync.RWMutex
	// map from connection id to latest nonce
	status map[string]string
	// map from nonce to connection ids for which it is current
	// using map[string]struct to approximate a hashset
	reverseStatus          map[string]sets.String
	inProgressResources    map[string]*inProgressEntry
	client                 v1.ConfigMapInterface
	cm                     *corev1.ConfigMap

  fun values(name: String): List<String> = commonValues(name)

  /**
   * Returns the number of bytes required to encode these headers using HTTP/1.1. This is also the
   * approximate size of HTTP/2 headers before they are compressed with HPACK. This value is
   * intended to be used as a metric: smaller headers are more efficient to encode and transmit.
   */
  fun byteCount(): Long {

func CloneLocalityLbEndpoint(ep *endpoint.LocalityLbEndpoints) *endpoint.LocalityLbEndpoints {
	clone := &endpoint.LocalityLbEndpoints{}
	clone.Locality = ep.Locality
	clone.LbEndpoints = ep.LbEndpoints
	clone.Proximity = ep.Proximity
	clone.Priority = ep.Priority
	if ep.LoadBalancingWeight != nil {
		clone.LoadBalancingWeight = &wrapperspb.UInt32Value{
			Value: ep.GetLoadBalancingWeight().GetValue(),
		}
	}
	return clone
}

   * that minimizes the need for remapping as {@code buckets} grows. That is, {@code
   * consistentHash(h, n)} equals:
   *
   * <ul>
   *   <li>{@code n - 1}, with approximate probability {@code 1/n}
   *   <li>{@code consistentHash(h, n - 1)}, otherwise (probability {@code 1 - 1/n})
   * </ul>
   *

   * that minimizes the need for remapping as {@code buckets} grows. That is, {@code
   * consistentHash(h, n)} equals:
   *
   * <ul>
   *   <li>{@code n - 1}, with approximate probability {@code 1/n}
   *   <li>{@code consistentHash(h, n - 1)}, otherwise (probability {@code 1 - 1/n})
   * </ul>
   *

			Selector: &istio_type_v1beta1.WorkloadSelector{
				MatchLabels: map[string]string{
					"gateway.networking.k8s.io/gateway-name": "default",
				},
			},
			Image: &istioio_networking_v1beta1.ProxyImage{
				ImageType: "distroless",
			},
		},
	}); err != nil {
		t.Fatalf("failed to create ProxyConfigs: %s", err)
	}
	proxyConfig := model.GetProxyConfigs(store, mesh.DefaultMeshConfig())
	tests := []struct {

						for _, have := range counts {
							err := float64(have) - want
							χ2 += err * err
						}
						χ2 /= want
						samples[i] = χ2
					}

					// Check that our samples approximate the appropriate normal distribution.
					dof := float64(nfact - 1)
					expected := &statsResults{mean: dof, stddev: math.Sqrt(2 * dof)}
					errorScale := max(1.0, expected.stddev)

			s = fmt.Sprintf("%g", x)
		}
		return s
	}

	// Out of float64 range. Do approximate manual to decimal
	// conversion to avoid precise but possibly slow Float
	// formatting.
	// f = mant * 2**exp
	var mant big.Float
	exp := f.MantExp(&mant) // 0.5 <= |mant| < 1.0

	// approximate float64 mantissa m and decimal exponent d
	// f ~ m * 10**d