}
  *result = TF_TensorFromTensor(**status_or, &status->status);
  return status->status.ok();
}

TF_ApiDefMap* TF_NewApiDefMap(TF_Buffer* op_list_buffer, TF_Status* status) {
  tensorflow::OpList op_list;
  if (!op_list.ParseFromArray(op_list_buffer->data, op_list_buffer->length)) {
    status->status = InvalidArgument("Unparseable OpList");
    return nullptr;
  }
  status->status = absl::OkStatus();

  ASSERT_EQ(TF_GetCode(status_), TF_OUT_OF_RANGE) << TF_Message(status_);
  result.resize(read);
  ASSERT_EQ(result, "6789") << "Result: " << result << "\n";
}

TEST_F(GCSFilesystemTest, NewRandomAccessFile_Buffered) {
  tf_gcs_filesystem::InitTest(filesystem_, false, 10, 0, 0, 0, 0, status_);
  ASSERT_TF_OK(status_) << "Could not initialize filesystem. "
                        << TF_Message(status_);

  // functions, and their send/recvs corountines).
  config.set_inter_op_parallelism_threads(1);

  TF_Buffer* ret = TF_NewBuffer();
  TF_CHECK_OK(MessageToBuffer(config, ret));
  return ret;
}

TF_Buffer* TF_CreateRunOptions(unsigned char enable_full_trace) {
  tensorflow::RunOptions options;
  if (enable_full_trace) {

      TF_NewStatus(), TF_DeleteStatus);
  std::unique_ptr<TFE_ContextOptions, decltype(&TFE_DeleteContextOptions)> opts(
      TFE_NewContextOptions(), TFE_DeleteContextOptions);
  std::unique_ptr<TF_Buffer, decltype(&TF_DeleteBuffer)> config(
      TF_CreateConfig(
          /*xla*/ false,
          /* gpu_memory_allow_growth */ true, /* num_cpu_devices */
          2),
      TF_DeleteBuffer);

  delete posix_file;
}

static int64_t Read(const TF_RandomAccessFile* file, uint64_t offset, size_t n,
                    char* buffer, TF_Status* status) {
  auto posix_file = static_cast<PosixFile*>(file->plugin_file);
  char* dst = buffer;
  int64_t read = 0;

  while (n > 0) {
    // Some platforms, notably macs, throw `EINVAL` if `pread` is asked to read
    // more than fits in a 32-bit integer.

  av_tensor->SetBuffer(std::move(buffer));

  TF_ASSERT_OK_AND_ASSIGN(auto c_buffer, GetPjRtCBufferFromTensor(&tensor));

  EXPECT_THAT(c_buffer, NotNull());
}

TEST(TensorPjRtBufferUtilTest, SetPjRtCBufferToTensorNotAsyncValueTensor) {
  tensorflow::Tensor tensor(DT_FLOAT, {1});
  TF_ASSERT_OK_AND_ASSIGN(auto pjrt_client, xla::GetCApiClient(DEVICE_CPU));
  PJRT_Buffer* c_buffer = CreateCBuffer();

}

PJRT_Buffer* TF_GetPjRtCBuffer(TF_Tensor* c_tensor, TF_Status* status) {
  tensorflow::Tensor tensor;
  auto s = tensorflow::TF_TensorToTensor(c_tensor, &tensor);
  if (!s.ok()) {
    status->status = s;
    return nullptr;
  }
  absl::StatusOr<PJRT_Buffer*> c_buffer =
      tensorflow::GetPjRtCBufferFromTensor(&tensor);
  if (!c_buffer.ok()) {
    status->status = c_buffer.status();

#include "tensorflow/core/platform/test.h"

namespace tensorflow {
namespace grappler {
namespace {

void optimize_func(void* optimizer, const TF_Buffer* graph_buf,
                   const TF_GrapplerItem* item, TF_Buffer* optimized_graph_buf,
                   TF_Status* tf_status) {}

void PopulateDefaultParam(TP_OptimizerRegistrationParams* params) {

      TF_NewStatus(), TF_DeleteStatus);
  std::unique_ptr<TFE_ContextOptions, decltype(&TFE_DeleteContextOptions)> opts(
      TFE_NewContextOptions(), TFE_DeleteContextOptions);
  std::unique_ptr<TF_Buffer, decltype(&TF_DeleteBuffer)> config(
      TF_CreateConfig(
          /*enable_xla_compilation=*/false,
          /*gpu_memory_allow_growth=*/true, /*num_cpu_devices=*/2),
      TF_DeleteBuffer);

#include <algorithm>
#include <unordered_map>
#include <unordered_set>
#include <utility>

#include "absl/strings/match.h"
#include "tensorflow/c/c_api_internal.h"
#include "tensorflow/c/tf_buffer_internal.h"
#include "tensorflow/core/framework/attr_value_util.h"
#include "tensorflow/core/framework/function.h"
#include "tensorflow/core/framework/function.pb.h"
#include "tensorflow/core/framework/graph_to_functiondef.h"