.of(MANY_VALUES_SUM_OF_PRODUCTS_OF_DELTAS / MANY_VALUES_COUNT);
    // For datasets of many double values, we test many combinations of finite and non-finite
    // x-values:
    for (ManyValues values : ALL_MANY_VALUES) {
      PairedStatsAccumulator accumulator =
          createFilledPairedStatsAccumulator(values.asIterable(), OTHER_MANY_VALUES);
      PairedStatsAccumulator accumulatorByAddAllPartitionedPairedStats =

  /**
   * Stores a collection of values with the same key, replacing any existing values for that key.
   *
   * <p>Because a {@code SortedSetMultimap} has unique sorted values for a given key, this method
   * returns a {@link SortedSet}, instead of the {@link java.util.Collection} specified in the
   * {@link Multimap} interface.
   *
   * <p>Any duplicates in {@code values} will be stored in the multimap once.
   */

      // 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());
  }

				values = append(values, fmt.Sprintf("O=%s", name.Value))
			case 11:
				values = append(values, fmt.Sprintf("OU=%s", name.Value))
			default:
				values = append(values, fmt.Sprintf("UnknownOID=%s", name.Type.String()))
			}
		} else if oid.Equal(oidEmailAddress) {
			values = append(values, fmt.Sprintf("emailAddress=%s", name.Value))
		} else {
			values = append(values, fmt.Sprintf("UnknownOID=%s", name.Type.String()))
		}
	}

      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();

		{
			[]clause.Interface{clause.Select{}, clause.From{}, clause.GroupBy{
				Columns: []clause.Column{{Name: "role"}},
				Having:  []clause.Expression{clause.Eq{"role", "admin"}},
			}},
			"SELECT * FROM `users` GROUP BY `role` HAVING `role` = ?",
			[]interface{}{"admin"},
		},
		{
			[]clause.Interface{clause.Select{}, clause.From{}, clause.GroupBy{
				Columns: []clause.Column{{Name: "role"}},

func TestListObjectsV2Resources(t *testing.T) {
	testCases := []struct {
		values                               url.Values
		prefix, token, startAfter, delimiter string
		fetchOwner                           bool
		maxKeys                              int
		encodingType                         string
		errCode                              APIErrorCode
	}{
		{
			values: url.Values{
				"prefix":             []string{"photos/"},

    {{- with .Values.consoleIngress.labels }}
      {{- toYaml . | nindent 4 }}
    {{- end }}
  {{- with .Values.consoleIngress.annotations }}
  annotations: {{- toYaml . | nindent 4 }}
  {{- end }}
spec:
  {{- if .Values.consoleIngress.ingressClassName }}
  ingressClassName: {{ .Values.consoleIngress.ingressClassName }}
  {{- end }}
  {{- if .Values.consoleIngress.tls }}
  tls:
    {{- range .Values.consoleIngress.tls }}

      {{- toYaml . | nindent 4 }}
    {{- end }}
  {{- with .Values.ingress.annotations }}
  annotations: {{- toYaml . | nindent 4 }}
  {{- end }}
spec:
  {{- if .Values.ingress.ingressClassName }}
  ingressClassName: {{ .Values.ingress.ingressClassName }}
  {{- end }}
  {{- if .Values.ingress.tls }}
  tls:
    {{- range .Values.ingress.tls }}
    - hosts:
      {{- range .hosts }}
        - {{ . | quote }}

    // For datasets of many double values, we test many combinations of finite and non-finite
    // x-values:
    for (ManyValues values : ALL_MANY_VALUES) {
      PairedStats stats = createPairedStatsOf(values.asIterable(), OTHER_MANY_VALUES);
      double populationCovariance = stats.populationCovariance();
      if (values.hasAnyNonFinite()) {