return 1;
  }

  char file_name[100];
  time_t t = time(NULL);
  snprintf(file_name, sizeof(file_name), "test-%d-%ld.txt", getpid(), t);

  size_t length = 2 + strlen(path) + strlen(file_name);
  char* full_path = malloc(length);
  snprintf(full_path, length, "%s/%s", path, file_name);

  TF_WritableFileHandle* h;
  TF_Status* status = TF_NewStatus();
  TF_NewWritableFile(full_path, &h, status);

  std::vector<size_t> lengths;
  raw_strs.reserve(values.size());
  lengths.reserve(values.size());
  for (const auto& s : values) {
    raw_strs.emplace_back(s.data());
    lengths.emplace_back(s.size());
  }
  return SetAttrStringList(attr_name,
                           reinterpret_cast<const void**>(raw_strs.data()),
                           lengths.data(), values.size());
}

                      const void* value, size_t length) {
  tensorflow::StringPiece s(static_cast<const char*>(value), length);
  desc->node_builder.Attr(attr_name, s);
}

void TF_SetAttrStringList(TF_OperationDescription* desc, const char* attr_name,
                          const void* const* values, const size_t* lengths,
                          int num_values) {

// Returns the length (number of tensors) of the input argument `input_name`
// found in the provided `op`.
TF_CAPI_EXPORT extern int TFE_OpGetInputLength(TFE_Op* op,
                                               const char* input_name,
                                               TF_Status* status);

// Returns the length (number of tensors) of the output argument `output_name`

  }
  return OkStatus();
}
Status TapeOperation::SetAttrString(const char* attr_name, const char* data,
                                    size_t length) {
  forward_op_.attrs.Set(attr_name, StringPiece(data, length));
  return parent_op_->SetAttrString(attr_name, data, length);
}
Status TapeOperation::SetAttrInt(const char* attr_name, int64_t value) {
  forward_op_.attrs.Set(attr_name, static_cast<int64_t>(value));

  TF_OperationGetAttrTensorShapeProto(oper, "v", value, s_);
  EXPECT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);
  EXPECT_EQ(bytes.length(), value->length);
  EXPECT_EQ(0, memcmp(bytes.data(), value->data, value->length));
  TF_DeleteBuffer(value);
}

TEST_F(CApiAttributesTest, TensorShapeProtoList) {
  string bytes1, bytes2;
  tensorflow::TensorShapeProto proto;

  TF_FileStatistics stats;
  ops_->stat(filesystem_.get(), translated_name.c_str(), &stats,
             plugin_status.get());

  if (TF_GetCode(plugin_status.get()) == TF_OK) {
    stat->length = stats.length;
    stat->mtime_nsec = stats.mtime_nsec;
    stat->is_directory = stats.is_directory;
  }

  return StatusFromTF_Status(plugin_status.get());
}

  ASSERT_TRUE(WriteToServer(path, 0, content_view.length(),
                            &gcs_file->gcs_client, status_));
  tf_gcs_filesystem::NewReadOnlyMemoryRegionFromFile(filesystem_, path.c_str(),
                                                     region, status_);
  ASSERT_TF_OK(status_);
  auto length = tf_read_only_memory_region::Length(region);
  ASSERT_EQ(length, content_view.length());
  auto data =

  // Returns number of elements across all dimensions.
  virtual Status NumElements(int64_t* num_elements) const = 0;
  // Returns size of specified dimension
  //
  // -1 indicates an unknown axis length; this is unreachable for most standard
  // ImmediateExecutionTensorHandles, but comes up for example when computing
  // the shape of a parallel tensor with component shapes differing across
  // devices.

// keep.

// `value` must point to a string of length `length` bytes.
TF_CAPI_EXPORT extern void TF_SetAttrString(TF_OperationDescription* desc,
                                            const char* attr_name,
                                            const void* value, size_t length);
// `values` and `lengths` each must have lengths `num_values`.
// `values[i]` must point to a string of length `lengths[i]` bytes.