* <p>Though the method signature doesn't say so explicitly, the returned map has {@link Set}
   * values.
   */
  @Override
  public Map<K, Collection<V>> asMap() {
    return super.asMap();
  }

  /**
   * Stores a key-value pair in the multimap.
   *
   * @param key key to store in the multimap
   * @param value value to store in the multimap

   * <p>Though the method signature doesn't say so explicitly, the returned map has {@link Set}
   * values.
   */
  @Override
  public Map<K, Collection<V>> asMap() {
    return super.asMap();
  }

  /**
   * Stores a key-value pair in the multimap.
   *
   * @param key key to store in the multimap
   * @param value value to store in the multimap

    {{- 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

						values := make([]interface{}, valueLen)
						for i := 0; i < valueLen; i++ {
							values[i] = reflectValue.Index(i).Interface()
						}

						if len(values) > 0 {
							conds = append(conds, clause.IN{Column: clause.PrimaryColumn, Values: values})
							return []clause.Expression{clause.And(conds...)}
						}
						return nil
					}
				}

   * {@code key}, simply waits for that thread to finish and returns its loaded value. Note that
   * multiple threads can concurrently load values for distinct keys.
   *
   * <p>Caches loaded by a {@link CacheLoader} will call {@link CacheLoader#load} to load new values
   * into the cache. Newly loaded values are added to the cache using {@code

    // First add all the long candidate values.
    bigValues.addAll(Iterables.transform(POSITIVE_LONG_CANDIDATES, TO_BIGINTEGER));
    // Add boundary values manually to avoid over/under flow.
    bigValues.add(BigInteger.valueOf(Long.MAX_VALUE).add(ONE));
    // Now add values near 2^N for lots of values of N.
    for (int exponent :
        asList(
            64,
            65,

    // First add all the long candidate values.
    bigValues.addAll(Iterables.transform(POSITIVE_LONG_CANDIDATES, TO_BIGINTEGER));
    // Add boundary values manually to avoid over/under flow.
    bigValues.add(BigInteger.valueOf(Long.MAX_VALUE).add(ONE));
    // Now add values near 2^N for lots of values of N.
    for (int exponent :
        asList(
            64,
            65,

// read current values from streamz counters defined in other modules.
//
// The code under test will have created streamz counters like this:
// auto* streamz = tensorflow::monitoring::Counter<1>::New("name",
// "description", "label");
// and then incremented that counter for various values of label:
// streamz->GetCell("label-value")->IncrementBy(1);
//

				<DelMarkerExpiration>
					<Days>365</Days>
				</DelMarkerExpiration>
                            <Status>Enabled</Status>
	                    </Rule>`,
			expectedErr: errInvalidRuleDelMarkerExpiration,
		},
		{
			inputXML: `<Rule>
				<ID>Rule with multiple tags and DelMarkerExpiration</ID>
				<Filter><And>
				<Tag><Key>k1</Key><Value>v1</Value></Tag>

				Schema:   s,
			},
		},
		ReflectValue: reflect.ValueOf(dest),
		Dest:         dest,
	}

	stmt.Schema = s

	values := ConvertToCreateValues(stmt)
	expected := clause.Values{
		// column has value + defaultValue column has value (which should have a stable order)
		Columns: []clause.Column{{Name: "name"}, {Name: "email"}, {Name: "age"}, {Name: "id"}},
		Values: [][]interface{}{
			{"alice", "email", 18, 1},