TF_NewShapeAndTypeList(input_shapes_vec.size());
    for (size_t i = 0; i < input_shapes_vec.size(); ++i) {
      const auto& input_shape = input_shapes_vec[i];
      if (input_shape.has_value()) {
        TF_ShapeAndTypeListSetShape(input_shapes, i, input_shape->data(),
                                    input_shape->size());
      } else {
        TF_ShapeAndTypeListSetUnknownShape(input_shapes, i);

  DLManagedTensor* dlmt = static_cast<DLManagedTensor*>(dlm);
  DLTensor* dl_tensor = &dlmt->dl_tensor;
  absl::optional<std::string> device_name =
      DeviceNameFromDlContext(dl_tensor->device, status);
  if (!device_name.has_value()) {
    status->status =
        tensorflow::errors::InvalidArgument("Unsupported Device Type");
    return nullptr;
  }
  TF_DataType dtype;
  absl::Status s = TfDataTypeFormDlDataType(dl_tensor->dtype, &dtype);

      tensorflow::EvaluateConstantTensorRunner{
          graph->graph.op_registry(),
          graph->graph.versions().producer(),
      });
  if (!status_or.ok() || !status_or->has_value()) {
    *result = nullptr;
    status->status = std::move(status_or).status();
    return false;
  }
  *result = TF_TensorFromTensor(**status_or, &status->status);
  return status->status.ok();
}

    HONDA,
    POODLE,
  }

  public void testGetIfPresent() {
    assertThat(Enums.getIfPresent(TestEnum.class, "CHEETO")).hasValue(TestEnum.CHEETO);
    assertThat(Enums.getIfPresent(TestEnum.class, "HONDA")).hasValue(TestEnum.HONDA);
    assertThat(Enums.getIfPresent(TestEnum.class, "POODLE")).hasValue(TestEnum.POODLE);

    assertThat(Enums.getIfPresent(TestEnum.class, "CHEETO")).isPresent();

    HONDA,
    POODLE,
  }

  public void testGetIfPresent() {
    assertThat(Enums.getIfPresent(TestEnum.class, "CHEETO")).hasValue(TestEnum.CHEETO);
    assertThat(Enums.getIfPresent(TestEnum.class, "HONDA")).hasValue(TestEnum.HONDA);
    assertThat(Enums.getIfPresent(TestEnum.class, "POODLE")).hasValue(TestEnum.POODLE);

    assertThat(Enums.getIfPresent(TestEnum.class, "CHEETO")).isPresent();

    assertEquals(
        Integer.MAX_VALUE, ImmutableCollection.Builder.expandedCapacity(0, Integer.MAX_VALUE));
    assertEquals(
        Integer.MAX_VALUE, ImmutableCollection.Builder.expandedCapacity(1, Integer.MAX_VALUE));
    assertEquals(
        Integer.MAX_VALUE,
        ImmutableCollection.Builder.expandedCapacity(Integer.MAX_VALUE - 1, Integer.MAX_VALUE));

        // Trigger integer overflow prevention
        try {
            validator.safeAdd(Integer.MAX_VALUE, Integer.MAX_VALUE);
        } catch (SmbException e) {
            // Expected
        }

        try {
            validator.safeMultiply(Integer.MAX_VALUE, 2);
        } catch (SmbException e) {
            // Expected
        }

    BigDecimal maxDoubleAsBigDecimal = new BigDecimal(Double.MAX_VALUE);
    new RoundToDoubleTester(maxDoubleAsBigDecimal)
        .setExpectation(Double.MAX_VALUE, RoundingMode.values())
        .test();
  }

  public void testRoundToDouble_maxDoublePlusOne() {
    BigDecimal maxDoubleAsBigDecimal = new BigDecimal(Double.MAX_VALUE).add(BigDecimal.ONE);
    new RoundToDoubleTester(maxDoubleAsBigDecimal)

    assertThat(iterable.firstMatch(equalTo("cool"))).hasValue("cool");
    assertThat(iterable.firstMatch(equalTo("pants"))).hasValue("pants");
    assertThat(iterable.firstMatch(Predicates.alwaysFalse())).isAbsent();
    assertThat(iterable.firstMatch(Predicates.alwaysTrue())).hasValue("cool");
  }

  private static final class IntegerValueOfFunction implements Function<String, Integer> {

    assertEquals(
        Integer.MAX_VALUE, ImmutableCollection.Builder.expandedCapacity(0, Integer.MAX_VALUE));
    assertEquals(
        Integer.MAX_VALUE, ImmutableCollection.Builder.expandedCapacity(1, Integer.MAX_VALUE));
    assertEquals(
        Integer.MAX_VALUE,
        ImmutableCollection.Builder.expandedCapacity(Integer.MAX_VALUE - 1, Integer.MAX_VALUE));