if (values.hasAnyNaN()) {
        assertWithMessage("mean of %s", values).that(mean).isNaN();
        assertWithMessage("mean by addAll(Stats) of %s", values).that(meanByAddAllStats).isNaN();
      } else if (values.hasAnyPositiveInfinity() && values.hasAnyNegativeInfinity()) {
        assertWithMessage("mean of %s", values).that(mean).isNaN();

    {{- if .Values.metrics.serviceMonitor.additionalLabels }}
      {{- toYaml .Values.metrics.serviceMonitor.additionalLabels | nindent 4 }}
    {{- end }}
  {{- if .Values.metrics.serviceMonitor.annotations }}
  annotations: {{- toYaml .Values.metrics.serviceMonitor.annotations | nindent 4 }}
  {{- end }}
spec:
  endpoints:
    {{- if .Values.tls.enabled }}
    - port: https
      scheme: https

    /**
     * Map containing field names as keys and their corresponding configuration values as values.
     */
    private final Map<String, String> params;

    /**
     * Constructs a new FieldConfigs instance with the specified parameter map.
     *
     * @param params the map containing field names as keys and configuration values as values
     */
    public FieldConfigs(final Map<String, String> params) {

			t.Errorf("Test %d: Expected err %s, but got %s", i+1, testCaseFailure.err, err)
		}
	}
}

func BenchmarkXlMetaV2Shallow(b *testing.B) {
	fi := FileInfo{
		Volume:           "volume",
		Name:             "object-name",
		VersionID:        "756100c6-b393-4981-928a-d49bbc164741",
		IsLatest:         true,
		Deleted:          false,
		TransitionStatus: "PENDING",

	}

	prefix = values.Get("prefix")
	keyMarker = values.Get("key-marker")
	uploadIDMarker = values.Get("upload-id-marker")
	delimiter = values.Get("delimiter")
	encodingType = values.Get("encoding-type")
	return prefix, keyMarker, uploadIDMarker, delimiter, maxUploads, encodingType, errCode
}

// Parse object url queries

          sum = t;
        }
        return sum / values.length;
      }
    },
    KNUTH {
      @Override
      double mean(double[] values) {
        double mean = values[0];
        for (int i = 1; i < values.length; i++) {
          mean = mean + (values[i] - mean) / (i + 1);
        }
        return mean;
      }
    };

    abstract double mean(double[] values);
  }

  static class MeanAndVariance {

          sum = t;
        }
        return sum / values.length;
      }
    },
    KNUTH {
      @Override
      double mean(double[] values) {
        double mean = values[0];
        for (int i = 1; i < values.length; i++) {
          mean = mean + (values[i] - mean) / (i + 1);
        }
        return mean;
      }
    };

    abstract double mean(double[] values);
  }

  static class MeanAndVariance {

    List<V> values = asList(v0(), null, v3());
    multimap().replaceValues(k0(), values);
    assertGet(k0(), values);
  }

  @MapFeature.Require({SUPPORTS_PUT, SUPPORTS_REMOVE, ALLOWS_NULL_KEYS})
  public void testReplaceValuesWithNullKey() {
    List<V> values = asList(v0(), v2(), v3());
    multimap().replaceValues(null, values);
    assertGet(null, values);
  }

   *     values.
   */
  @Deprecated
  // com.google.common.math.DoubleUtils
  @GwtIncompatible
  public static double mean(double... values) {
    checkArgument(values.length > 0, "Cannot take mean of 0 values");
    long count = 1;
    double mean = checkFinite(values[0]);
    for (int index = 1; index < values.length; ++index) {
      checkFinite(values[index]);
      count++;

      // non-finite inputs will have sumOfProductsOfDeltas = NaN, so non-finite values will result
      // in NaN naturally.
      sumOfProductsOfDeltas +=
          values.sumOfProductsOfDeltas()
              + (values.xStats().mean() - xStats.mean())
                  * (values.yStats().mean() - yStats.mean())
                  * values.count();
    }
    yStats.addAll(values.yStats());
  }