}

    Collection<V2> transform(@ParametricNullness K key, Collection<V1> values) {
      Function<? super V1, V2> function = Maps.asValueToValueFunction(transformer, key);
      if (values instanceof List) {
        return Lists.transform((List<V1>) values, function);
      } else {
        return Collections2.transform(values, function);
      }
    }

    @Override

    assertFalse(iterator.hasNext());
  }

  public void testTransform() {
    Iterator<String> input = asList("1", "2", "3").iterator();
    Iterator<Integer> result =
        Iterators.transform(
            input,
            new Function<String, Integer>() {
              @Override
              public Integer apply(String from) {
                return Integer.valueOf(from);
              }

    assertFalse(iterator.hasNext());
  }

  public void testTransform() {
    Iterator<String> input = asList("1", "2", "3").iterator();
    Iterator<Integer> result =
        Iterators.transform(
            input,
            new Function<String, Integer>() {
              @Override
              public Integer apply(String from) {
                return Integer.valueOf(from);
              }

        try {
            Model model = readFileModel(request, problems);

            try {
                if (transformer != null && context != null) {
                    transformer.transform(context, model, pomFile);
                }
            } catch (ModelBuilderException e) {
                problems.add(Severity.FATAL, ModelProblem.Version.V40, null, e);
            }

                       TF_Operation* r, const char* name,
                       bool transpose_a = false, bool transpose_b = false) {
    TF_OperationDescription* desc = TF_NewOperation(graph, "MatMul", name);
    if (transpose_a) {
      TF_SetAttrBool(desc, "transpose_a", 1);
    }
    if (transpose_b) {
      TF_SetAttrBool(desc, "transpose_b", 1);
    }
    TF_AddInput(desc, {l, 0});
    TF_AddInput(desc, {r, 0});

   * element.
   */
  public static <F extends @Nullable Object, T extends @Nullable Object> Iterator<T> transform(
      Iterator<F> fromIterator, Function<? super F, ? extends T> function) {
    checkNotNull(function);
    return new TransformedIterator<F, T>(fromIterator) {
      @ParametricNullness
      @Override
      T transform(@ParametricNullness F from) {
        return function.apply(from);
      }
    };
  }

      // Must be manually synchronized.
      return new TransformedIterator<Map.Entry<K, Collection<V>>, Map.Entry<K, Collection<V>>>(
          super.iterator()) {
        @Override
        Map.Entry<K, Collection<V>> transform(final Map.Entry<K, Collection<V>> entry) {
          return new ForwardingMapEntry<K, Collection<V>>() {
            @Override
            protected Map.Entry<K, Collection<V>> delegate() {
              return entry;

   * element.
   */
  public static <F extends @Nullable Object, T extends @Nullable Object> Iterator<T> transform(
      Iterator<F> fromIterator, Function<? super F, ? extends T> function) {
    checkNotNull(function);
    return new TransformedIterator<F, T>(fromIterator) {
      @ParametricNullness
      @Override
      T transform(@ParametricNullness F from) {
        return function.apply(from);
      }
    };
  }

 * submitting a task to a {@link ListeningExecutorService}, and deriving a {@code Future} from an
 * existing one, typically using methods like {@link Futures#transform(ListenableFuture,
 * com.google.common.base.Function, java.util.concurrent.Executor) Futures.transform} and {@link
 * Futures#catching(ListenableFuture, Class, com.google.common.base.Function,
 * java.util.concurrent.Executor) Futures.catching}.
 *

        "//tensorflow/lite:string_util",
        "//tensorflow/lite:util",
        "//tensorflow/python/grappler:cost_analyzer_lib",
        "//tensorflow/tools/graph_transforms:transform_graph_lib",
    ] + select({
        "//tensorflow/compiler/mlir/python:disable_mlir_config": [],
        "//conditions:default": [
            "//tensorflow/compiler/mlir/python:mlir",
        ],