}  // namespace tf_windows_filesystem

static void ProvideFilesystemSupportFor(TF_FilesystemPluginOps* ops,
                                        const char* uri) {
  TF_SetFilesystemVersionMetadata(ops);
  ops->scheme = strdup(uri);
}

void TF_InitPlugin(TF_FilesystemPluginInfo* info) {
  info->plugin_memory_allocate = plugin_memory_allocate;
  info->plugin_memory_free = plugin_memory_free;
  info->num_schemes = 2;

  fstat(fd, &st);
  if (S_ISDIR(st.st_mode)) {
    TF_SetStatus(status, TF_FAILED_PRECONDITION, "path is a directory");
    close(fd);
    return;
  }

  file->plugin_file = new tf_random_access_file::PosixFile({strdup(path), fd});
  TF_SetStatus(status, TF_OK, "");
}

static void NewWritableFile(const TF_Filesystem* filesystem, const char* path,
                            TF_WritableFile* file, TF_Status* status) {

  auto* list = new TF_StringStream;
  list->list = tmpdirs;
  list->position = 0;
  return list;
}

char* TF_GetTempFileName(const char* extension) {
  return strdup(::tensorflow::io::GetTempFilename(extension).c_str());
}

TF_CAPI_EXPORT extern uint64_t TF_NowNanos(void) {
  return ::tensorflow::Env::Default()->NowNanos();
}

  close(dst_fd);
  if (error_code != 0) {
    errno = error_code;
    return -1;
  } else {
    return 0;
  }
}

int RemoveSpecialDirectoryEntries(const struct dirent* entry) {
  return strcmp(entry->d_name, ".") != 0 && strcmp(entry->d_name, "..") != 0;
}

}

void TF_SetAttrStringList(TF_OperationDescription* desc, const char* attr_name,
                          const void* const* values, const size_t* lengths,
                          int num_values) {
  if (strcmp(attr_name, tensorflow::kColocationAttrName) == 0) {
    desc->colocation_constraints.clear();
    for (int i = 0; i < num_values; ++i) {
      desc->colocation_constraints.emplace(static_cast<const char*>(values[i]),

    enable_tensor_float_32_execution(false);
  }

  AbstractContextPtr immediate_execution_ctx_;
  GradientRegistry registry_;
  Status status_;

 public:
  bool UseMlir() const { return strcmp(std::get<0>(GetParam()), "mlir") == 0; }
  bool UseFunction() const { return std::get<2>(GetParam()); }
};

TEST_P(CppGradients, TestAddGrad) {
  AbstractTensorHandlePtr x;
  {

  int num_entries = childrens.size();
  *entries = static_cast<char**>(
      plugin_memory_allocate(num_entries * sizeof((*entries)[0])));
  for (int i = 0; i < num_entries; i++)
    (*entries)[i] = strdup(childrens[i].c_str());
  TF_SetStatus(status, TF_OK, "");
  return num_entries;
}

void Stat(const TF_Filesystem* filesystem, const char* path,
          TF_FileStatistics* stats, TF_Status* status) {

    // low tolerances
    enable_tensor_float_32_execution(false);
  }

  AbstractContextPtr immediate_execution_ctx_;
  GradientRegistry registry_;
  Status status_;

 public:
  bool UseMlir() const { return strcmp(std::get<0>(GetParam()), "mlir") == 0; }
  bool UseFunction() const { return std::get<2>(GetParam()); }
};

TEST_P(CppGradients, TestIdentityNGrad) {

    return FileSystem::FilesExist(files, token, status);

  std::vector<char*> translated_names;
  translated_names.reserve(files.size());
  for (int i = 0; i < files.size(); i++)
    translated_names.push_back(strdup(TranslateName(files[i]).c_str()));

  bool result;
  if (status == nullptr) {
    result = ops_->paths_exist(filesystem_.get(), translated_names.data(),
                               files.size(), nullptr);

    TF_SetTracingImplementation(std::get<0>(GetParam()), status.get());
    Status s = StatusFromTF_Status(status.get());
    CHECK_EQ(errors::OK, s.code()) << s.message();
  }

 public:
  bool UseMlir() const { return strcmp(std::get<0>(GetParam()), "mlir") == 0; }
  bool UseFunction() const { return std::get<2>(GetParam()); }
};

// Checks that inputs[0] is a scalar.
Status TestScalarShape(AbstractContext* ctx,