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);

  if (TF_GetCode(status) != TF_OK) return;

  // unwrap op_ and set step_id only if valid step id value was set.
  // Currently only required for non-TFRT use cases, e.g., EagerOp.
  if (step_id_.has_value()) {
    tensorflow::unwrap(op_.get())->SetStepId(step_id_.value());
  }

  TFE_Execute(op_.get(), unwrapped_results.data(), &real_num_outputs, status);
  if (TF_GetCode(status) != TF_OK) {

      maybe_parallel_results(
          parallel_device.Execute(context, parallel_inputs, operation_name,
                                  attributes, expected_max_outputs, status));
  if (!maybe_parallel_results.has_value()) return result;
  std::vector<std::unique_ptr<ParallelTensor>> parallel_results(
      std::move(maybe_parallel_results.value()));
  std::vector<MaybeParallelTensorOwned> result_content;

  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);

        String value = null;
        boolean haveValue = false;
        if (encoding != null) {
            try {
                value = item.getString(encoding);
                haveValue = true;
            } catch (final Exception e) {}
        }
        if (!haveValue) {
            try {
                value = item.getString(Charset.forName("ISO-8859-1"));

}

/**
 * Returns this as a non-negative integer, or 0 if it is negative, or [Int.MAX_VALUE] if it is too
 * large, or [defaultValue] if it cannot be parsed.
 */
internal fun String?.toNonNegativeInt(defaultValue: Int): Int {
  try {
    val value = this?.toLong() ?: return defaultValue
    return when {
      value > Int.MAX_VALUE -> Int.MAX_VALUE
      value < 0 -> 0
      else -> value.toInt()
    }

    longValues.addAll(Iterables.transform(POSITIVE_INTEGER_CANDIDATES, TO_LONG));
    // Add boundary values manually to avoid over/under flow (this covers 2^N for 31 and 63).
    longValues.add(Integer.MAX_VALUE + 1L, Long.MAX_VALUE - 1L, Long.MAX_VALUE);

    // Now add values near 2^N for lots of values of N.
    for (int exponent : asList(32, 33, 39, 40, 41, 47, 48, 49, 55, 56, 57)) {
      long x = 1L << exponent;

    longValues.addAll(Iterables.transform(POSITIVE_INTEGER_CANDIDATES, TO_LONG));
    // Add boundary values manually to avoid over/under flow (this covers 2^N for 31 and 63).
    longValues.add(Integer.MAX_VALUE + 1L, Long.MAX_VALUE - 1L, Long.MAX_VALUE);

    // Now add values near 2^N for lots of values of N.
    for (int exponent : asList(32, 33, 39, 40, 41, 47, 48, 49, 55, 56, 57)) {
      long x = 1L << exponent;

    0x7ffffffffffffe00L, // halfway between 2^63 and next-lower double
    0x7ffffffffffffe01L, // above + 1
    0x7ffffffffffffdffL, // above - 1
    Long.MAX_VALUE - (1L << 11) + 1,
    Long.MAX_VALUE - 2,
    Long.MAX_VALUE - 1,
    Long.MAX_VALUE,
    -16,
    -1L << 53,
    -(1L << 53) - 1,
    -(1L << 53) - 2,
    -(1L << 53) - 3,
    -(1L << 53) - 4,
    -1L << 54,
    -(1L << 54) - 1,

    assertThat(MediaType.parse("text/plain; charset =utf-8").charset()).hasValue(UTF_8);
    assertThat(MediaType.parse("text/plain; charset= utf-8").charset()).hasValue(UTF_8);
    assertThat(MediaType.parse("text/plain; charset = utf-8").charset()).hasValue(UTF_8);
    assertThat(MediaType.parse("text/plain;charset =utf-8").charset()).hasValue(UTF_8);
  }

  public void testGetCharset() {