} catch (IOException e) {
      throw e;
    } catch (Exception e) { // sneaky checked exception
      String message =
          "Unable to deserialize BloomFilter from InputStream."
              + " strategyOrdinal: "
              + strategyOrdinal
              + " numHashFunctions: "
              + numHashFunctions
              + " dataLength: "

   * @return the re-serialized object
   * @throws RuntimeException if the specified object was not successfully serialized or
   *     deserialized
   */
  @CanIgnoreReturnValue
  public static <T> T reserialize(T object) {
    return Platform.reserialize(object);
  }

  /**
   * Serializes and deserializes the specified object and verifies that the re-serialized object is

   * @return the re-serialized object
   * @throws RuntimeException if the specified object was not successfully serialized or
   *     deserialized
   */
  @CanIgnoreReturnValue
  public static <T> T reserialize(T object) {
    return Platform.reserialize(object);
  }

  /**
   * Serializes and deserializes the specified object and verifies that the re-serialized object is

    return new ReserializingTestCollectionGenerator<>(delegate);
  }

  @Override
  public Collection<E> create(Object... elements) {
    return reserialize(delegate.create(elements));
  }

  @SuppressWarnings("unchecked")
  static <T> T reserialize(T object) {
    try {
      ByteArrayOutputStream bytes = new ByteArrayOutputStream();
      ObjectOutputStream out = new ObjectOutputStream(bytes);

    return new ReserializingTestCollectionGenerator<>(delegate);
  }

  @Override
  public Collection<E> create(Object... elements) {
    return reserialize(delegate.create(elements));
  }

  @SuppressWarnings("unchecked")
  static <T> T reserialize(T object) {
    try {
      ByteArrayOutputStream bytes = new ByteArrayOutputStream();
      ObjectOutputStream out = new ObjectOutputStream(bytes);

  tensorflow::core::CppShapeInferenceResult::HandleData handle_data;
  if (!handle_data.ParseFromArray(proto, proto_len)) {
    status->status =
        absl::InvalidArgumentError("Couldn't deserialize HandleData proto");
    return;
  }
  DCHECK(handle_data.is_set());

  tensorflow::mutex_lock l(graph->mu);
  tensorflow::shape_inference::InferenceContext* ic =

fRunTime; private final long fStartTime; public void Result$SerializedForm(Result); private void Result$SerializedForm(java.io.ObjectInputStream$GetField) throws java.io.IOException; public void serialize(java.io.ObjectOutputStream) throws java.io.IOException; public static Result$SerializedForm deserialize(java.io.ObjectInputStream) throws ClassNotFoundExcepti, java.io.IOException; } org/junit/runner/FilterFactory.class package org.junit.runner; public abstract interface FilterFactory { public abstract...

    Set<E> copy = reserialize(original);
    assertEquals(original, copy);
    assertTrue(copy instanceof ImmutableSet);
    return copy;
  }

  @CanIgnoreReturnValue
  @GwtIncompatible // SerializableTester
  static <E> Multiset<E> reserializeAndAssertLenient(Multiset<E> original) {
    Multiset<E> copy = reserialize(original);
    assertEquals(original, copy);

public class MapSerializationTester<K, V> extends AbstractMapTester<K, V> {
  @CollectionFeature.Require(SERIALIZABLE)
  public void testReserializeMap() {
    Map<K, V> deserialized = SerializableTester.reserialize(getMap());
    new EqualsTester().addEqualityGroup(getMap(), deserialized).testEquals();
  }

public class MapSerializationTester<K, V> extends AbstractMapTester<K, V> {
  @CollectionFeature.Require(SERIALIZABLE)
  public void testReserializeMap() {
    Map<K, V> deserialized = SerializableTester.reserialize(getMap());
    new EqualsTester().addEqualityGroup(getMap(), deserialized).testEquals();
  }