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);

      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();
}

        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"));

    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,

    assertThrows(IllegalArgumentException.class, () -> MathPreconditions.checkPositive("int", 0));
  }

  public void testCheckPositive_maxInt() {
    MathPreconditions.checkPositive("int", Integer.MAX_VALUE);
  }

  public void testCheckPositive_minInt() {
    assertThrows(
        IllegalArgumentException.class,
        () -> MathPreconditions.checkPositive("int", Integer.MIN_VALUE));
  }

    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() {

    assertMean((1 << 30) - 1, -1, Integer.MAX_VALUE);

    // Even-sized ranges should prefer the lower mean
    assertMean(2, 1, 4);
    assertMean(-3, -4, -1);
    assertMean(0, -1, 2);
    assertMean(0, Integer.MIN_VALUE + 2, Integer.MAX_VALUE);
    assertMean(0, 0, 1);
    assertMean(-1, -1, 0);
    assertMean(-1, Integer.MIN_VALUE, Integer.MAX_VALUE);

    // x == y == mean
    assertMean(1, 1, 1);

            new long[] {MIN_VALUE, (long) 1},
            new long[] {(long) 1},
            new long[] {(long) 1, MIN_VALUE},
            new long[] {MAX_VALUE, MAX_VALUE - (long) 1},
            new long[] {MAX_VALUE, MAX_VALUE},
            new long[] {MAX_VALUE, MAX_VALUE, MAX_VALUE});

    Comparator<long[]> comparator = Longs.lexicographicalComparator();
    Helpers.testComparator(comparator, ordered);
  }