std::vector<int64_t> shape,
                          std::vector<int64_t> strides) {
  size_t num_elements = 1;
  for (int i = 0; i < static_cast<int32_t>(shape.size()); ++i) {
    num_elements *= shape[i];
  }
  std::vector<float> data(num_elements);
  for (size_t j = 0; j < num_elements; ++j) {
    data[j] = j;
  }
  DLManagedTensor dlm_in = {};
  DLTensor* dltensor_in = &dlm_in.dl_tensor;

#include "tensorflow/c/tf_status.h"

// Implementation of a filesystem for POSIX environments.
// This filesystem will support `file://` and empty (local) URI schemes.

static void* plugin_memory_allocate(size_t size) { return calloc(1, size); }
static void plugin_memory_free(void* ptr) { free(ptr); }

// SECTION 1. Implementation for `TF_RandomAccessFile`
// ----------------------------------------------------------------------------

  const auto& s = attr->s();
  std::memcpy(value, s.data(), std::min<size_t>(s.length(), max_length));
}

void TF_OperationGetAttrStringList(TF_Operation* oper, const char* attr_name,
                                   void** values, size_t* lengths,
                                   int max_values, void* storage,
                                   size_t storage_size, TF_Status* status) {

  std::unique_ptr<size_t[]> lens(new size_t[item.fetch.size()]);
  std::unique_ptr<char[]> storage(new char[storage_size]);
  TF_GetFetchNodesList(c_item, values.get(), lens.get(), item.fetch.size(),
                       storage.get(), storage_size, status);
  EXPECT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);

  for (size_t i = 0; i < item.fetch.size(); ++i) {
    EXPECT_EQ(item.fetch[i].size(), lens[i]) << i;

};

::testing::AssertionResult WriteToServer(const std::string& path, size_t offset,
                                         size_t length, gcs::Client* gcs_client,
                                         TF_Status* status) {
  std::string bucket, object;
  ParseGCSPath(path, false, &bucket, &object, status);
  if (TF_GetCode(status) != TF_OK)
    return ::testing::AssertionFailure() << TF_Message(status);

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.
    size_t requested_read_length;
    if (n > INT32_MAX)

// Passed to `TF_NewTensor` to indicate how an array of floats should be
// deleted.
static void FloatDeallocator(void* data, size_t, void* arg) {
  delete[] static_cast<float*>(data);
}

// Creates a TFE_TensorHandle with value `v`.
TensorHandlePtr FloatTensorHandle(float v, TF_Status* status) {
  const int num_bytes = sizeof(float);
  float* values = new float[1];
  values[0] = v;

}

const char* TF_GraphDebugString(TF_Graph* graph, size_t* len) {
  tensorflow::mutex_lock c(graph->mu);
  const auto& debug_str = graph->graph.ToGraphDefDebug().DebugString();
  *len = debug_str.size();
  char* ret = static_cast<char*>(malloc(*len + 1));
  memcpy(ret, debug_str.c_str(), *len + 1);
  return ret;
}

char* TF_FunctionDebugString(TF_Function* func, size_t* len) {

                              TF_Status* status) {
  status->status = MessageToBuffer(func->record->fdef(), output_func_def);
}

TF_Function* TF_FunctionImportFunctionDef(const void* proto, size_t proto_len,
                                          TF_Status* status) {
  tensorflow::FunctionDef fdef;
  bool success = fdef.ParseFromArray(proto, proto_len);
  if (!success) {
    status->status = InvalidArgument(

}

TEST(RamFileBlockCacheTest, PassThrough) {
  const string want_filename = "foo/bar";
  const size_t want_offset = 42;
  const size_t want_n = 1024;
  int calls = 0;
  auto fetcher = [&calls, want_filename, want_offset, want_n](
                     const string& got_filename, size_t got_offset,
                     size_t got_n, char* buffer, TF_Status* status) -> int64_t {
    EXPECT_EQ(got_filename, want_filename);