TF_Status* status) {
  tensorflow::core::CppShapeInferenceResult::HandleData handle_data;
  if (!handle_data.ParseFromArray(proto, proto_len)) {
    status->status =
        absl::InvalidArgumentError("Couldn't deserialize HandleData proto");
    return;
  }
  DCHECK(handle_data.is_set());

  tensorflow::mutex_lock l(graph->mu);
  tensorflow::shape_inference::InferenceContext* ic =

class VisibleTextExtractor(HTMLParser):
    """Extract visible text from a string with HTML tags."""

    def __init__(self):
        super().__init__()
        self.text_parts = []

    def handle_data(self, data):
        self.text_parts.append(data)

    def extract_visible_text(self, html: str) -> str:
        self.reset()
        self.text_parts = []
        self.feed(html)