/** Returns an immutable array containing the given values, in order. */
  public static ImmutableIntArray copyOf(int[] values) {
    return values.length == 0 ? EMPTY : new ImmutableIntArray(Arrays.copyOf(values, values.length));
  }

  /** Returns an immutable array containing the given values, in order. */
  public static ImmutableIntArray copyOf(Collection<Integer> values) {

{{- if eq .Values.service.type "ClusterIP" "NodePort" }}
MinIO can be accessed via port {{ .Values.service.port }} on the following DNS name from within your cluster:
{{ template "minio.fullname" . }}.{{ .Release.Namespace }}.{{ .Values.clusterDomain }}

To access MinIO from localhost, run the below commands:

  1. export POD_NAME=$(kubectl get pods --namespace {{ .Release.Namespace }} -l "release={{ .Release.Name }}" -o jsonpath="{.items[0].metadata.name}")

      Collection<Object> values = cache.asMap().values();
      assertFalse(values.remove(null));
      assertFalse(values.remove(6));
      assertFalse(values.remove(-6));
      assertFalse(values.removeAll(asList(null, 0, 15, 1500)));
      assertFalse(values.retainAll(asList(null, 0, 15, 1500)));
      checkEmpty(values);
      checkEmpty(cache);
    }
  }

      Collection<Object> values = cache.asMap().values();
      assertFalse(values.remove(null));
      assertFalse(values.remove(6));
      assertFalse(values.remove(-6));
      assertFalse(values.removeAll(asList(null, 0, 15, 1500)));
      assertFalse(values.retainAll(asList(null, 0, 15, 1500)));
      checkEmpty(values);
      checkEmpty(cache);
    }
  }

      // 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());
  }

  }

  public void testValues() {
    Map<String, Integer> map = create();
    Collection<Integer> values = map.values();
    assertTrue(values instanceof SynchronizedCollection);
    assertSame(mutex, ((SynchronizedCollection<?>) values).mutex);
  }

  public void testEntrySet() {
    Map<String, Integer> map = create();
    Set<Entry<String, Integer>> entrySet = map.entrySet();

  // Views

  /**
   * {@inheritDoc}
   *
   * <p>Because a bimap has unique values, this method returns a {@link Set}, instead of the {@link
   * java.util.Collection} specified in the {@link Map} interface.
   */
  @Override
  Set<V> values();

  /**
   * Returns the inverse view of this bimap, which maps each of this bimap's values to its

    public void setAvailable_PercentileRanks(double[] values) {
        setAvailable_PercentileRanks(values, null);
    }

    public void setAvailable_PercentileRanks(double[] values, ConditionOptionCall<PercentileRanksAggregationBuilder> opLambda) {
        setAvailable_PercentileRanks("available", values, opLambda);
    }

    public void setAvailable_PercentileRanks(String name, double[] values,

				column, values := schema.ToQueryValues(db.Statement.Table, db.Statement.Schema.PrimaryFieldDBNames, queryValues)

				if len(values) > 0 {
					db.Statement.AddClause(clause.Where{Exprs: []clause.Expression{clause.IN{Column: column, Values: values}}})
				}

    // 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()) {