tensorflow::monitoring::GaugeCell<bool> cell;
};

template <typename ValueType, int NumLabels>
struct TFE_MonitoringGauge {
  template <typename... LabelDesc>
  TFE_MonitoringGauge(const char* name, const char* description,
                      LabelDesc&&... label) {
    gauge = absl::WrapUnique(
        tensorflow::monitoring::Gauge<ValueType, NumLabels>::New(
            name, description, label...));
  }

    assertEquals(valueType, TypeToken.of(valueType).resolveType(valueType).getType());
  }

  private static final class GenericArray<T> {
    final Type t = new TypeToken<T>(getClass()) {}.getType();
    final Type array = new TypeToken<T[]>(getClass()) {}.getType();
  }

  public void testGenericArrayType() {
    GenericArray<?> genericArray = new GenericArray<>();

    assertEquals(Currency.class, bimap.keyType());
  }

  @GwtIncompatible // valueType
  public void testValueType() {
    EnumBiMap<Currency, Country> bimap = EnumBiMap.create(Currency.class, Country.class);
    assertEquals(Country.class, bimap.valueType());
  }

  public void testIterationOrder() {
    // The enum orderings are alphabetical, leading to the bimap and its inverse

    assertEquals(Currency.class, bimap.keyType());
  }

  @GwtIncompatible // valueType
  public void testValueType() {
    EnumBiMap<Currency, Country> bimap = EnumBiMap.create(Currency.class, Country.class);
    assertEquals(Country.class, bimap.valueType());
  }

  public void testIterationOrder() {
    // The enum orderings are alphabetical, leading to the bimap and its inverse

	v, ok := <-r.valueCh
	if !ok {
		if err := r.decoder.Err(); err != nil {
			return nil, errJSONParsingError(err)
		}
		return nil, io.EOF
	}

	var kvs jstream.KVS
	if v.ValueType == jstream.Object {
		// This is a JSON object type (that preserves key
		// order)
		kvs = v.Value.(jstream.KVS)
	} else {
		// To be AWS S3 compatible Select for JSON needs to

        PARSER.declareString(StoredLtrQueryBuilder::storeName, STORE_NAME);
        PARSER.declareField(StoredLtrQueryBuilder::params, XContentParser::map, PARAMS, ObjectParser.ValueType.OBJECT);
        PARSER.declareStringArray(StoredLtrQueryBuilder::activeFeatures, ACTIVE_FEATURES);
        PARSER.declareFloat(QueryBuilder::boost, AbstractQueryBuilder.BOOST_FIELD);

   *
   * <pre>{@code
   * static <K, V> TypeToken<Map<K, V>> mapOf(
   *     TypeToken<K> keyType, TypeToken<V> valueType) {
   *   return new TypeToken<Map<K, V>>() {}
   *       .where(new TypeParameter<K>() {}, keyType)
   *       .where(new TypeParameter<V>() {}, valueType);
   * }
   * }</pre>
   *
   * @param <X> The parameter type
   * @param typeParam the parameter type variable

            new Entry<Integer, String>() {}.valueType(),
            new TypeToken<String>() {},
            new TypeToken<String>() {})
        .addEqualityGroup(
            TypeToken.of(Integer.class),
            new TypeToken<Integer>() {},
            new Entry<Integer, String>() {}.keyType(),
            new Entry<String, Integer>() {}.valueType())

            new Entry<Integer, String>() {}.valueType(),
            new TypeToken<String>() {},
            new TypeToken<String>() {})
        .addEqualityGroup(
            TypeToken.of(Integer.class),
            new TypeToken<Integer>() {},
            new Entry<Integer, String>() {}.keyType(),
            new Entry<String, Integer>() {}.valueType())

				}

				d := jstream.NewDecoder(bytes.NewBuffer(in.input), 0).ObjectAsKVS()
				stream := d.Stream()
				all := dst[:0]
				for mv := range stream {
					var kvs jstream.KVS
					if mv.ValueType == jstream.Object {
						// This is a JSON object type (that preserves key
						// order)
						kvs = mv.Value.(jstream.KVS)
					} else {
						// To be AWS S3 compatible Select for JSON needs to