namespace tf_posix_filesystem {

int TransferFileContents(const char* src, const char* dst, mode_t mode,
                         off_t size) {
  int src_fd = open(src, O_RDONLY);
  if (src_fd < 0) return -1;

  // When creating file, use the same permissions as original
  mode_t open_mode = mode & (S_IRWXU | S_IRWXG | S_IRWXO);

  // O_WRONLY | O_CREAT | O_TRUNC:
  //   Open file for write and if file does not exist, create the file.

                           TF_Status* status) {
#if defined(IS_MOBILE_PLATFORM) || defined(IS_SLIM_BUILD)
  status->status = tensorflow::errors::Unimplemented(
      "Creating while loops is not supported on mobile. File a bug at "
      "https://github.com/tensorflow/tensorflow/issues if this feature is "
      "important to you");
  return EmptyWhileParams();
#else

  control_output_nodes.reserve(ncontrol_outputs);
  for (int i = 0; i < ncontrol_outputs; ++i) {
    control_output_nodes.push_back(&control_outputs[i]->node);
  }

  // Do the actual function creation.
  DCHECK(append_hash_to_fn_name <= 1);
  tensorflow::FunctionDef fdef;
  status->status = tensorflow::GraphToFunctionDef(
      fn_body->graph, fn_name, append_hash_to_fn_name != 0,

  else                                                       \
    configs.toggle_config[#optimizer] = RewriterConfig::ON;

void CGraphOptimizerRegister(
    const PluginGraphOptimizerRegistry::Creator& creator,
    const TP_OptimizerConfigs tp_configs, const char* device_type) {
  ConfigList configs;
  // disable_model_pruning is turned off by default.
  if (tp_configs.disable_model_pruning == TF_TriState_On)

    std::vector<TensorHandlePtr> components, absl::Span<const int64_t> shape,
    TF_Status* status) {
  if (components.empty()) {
    TF_SetStatus(status, TF_INTERNAL,
                 "No components are provide for creating a ParallelTensor");
    return nullptr;
  }
  TFE_TensorHandleGetStatus(components[0].get(), status);
  if (!status->status.ok()) {
    return nullptr;
  }

  // scheduled on that same threadpool, causing a deadlock in cases where the
  // caller of event_mgr->ThenExecute() blocks on the completion of the callback
  // (as in the case of ConstOp kernel creation on GPU, which involves copying a
  // CPU tensor to GPU).
  // Setting a larger thread pool does not help with the Swift caller, as we use
  // a different TFE context for each thread of execution (for running graph

  // `modular_filesystem_test.h` and extend the instantiation to also take as
  // argument an implementation for this method/a subclass factory (see
  // https://github.com/google/googletest/blob/master/googletest/docs/advanced.md#creating-value-parameterized-abstract-tests)
  std::string GetURIForPath(StringPiece path) {
    const std::string translated_name =
        tensorflow::io::JoinPath(root_dir_, path);

        "Filesystem allows creation of random access files but no "
        "operations on them have been supplied.");

  if ((ops->filesystem_ops->new_writable_file != nullptr ||
       ops->filesystem_ops->new_appendable_file != nullptr) &&
      ops->writable_file_ops == nullptr)
    return errors::FailedPrecondition(
        "Filesystem allows creation of writable files but no "

  EXPECT_EQ(string("When `num_opers` is set to -1, nodes referenced in "
                   "`inputs` must have a single output. Node split3 has "
                   "3 outputs. Encountered while creating function 'MyFunc'"),
            string(TF_Message(s_)));

  TF_DeleteTensor(tensor_123);
}

TEST_F(CApiFunctionTest, FunctionWithWhileLoop) {
  // Inputs to the while loop and the function as a whole

}

void CreateDir(const TF_Filesystem* filesystem, const char* path,
               TF_Status* status) {
  std::string dir = path;
  MaybeAppendSlash(&dir);
  TF_VLog(3,
          "CreateDir: creating directory with path: %s and "
          "path_with_slash: %s",
          path, dir.c_str());
  std::string bucket, object;
  ParseGCSPath(dir, true, &bucket, &object, status);
  if (TF_GetCode(status) != TF_OK) return;