code: def _parse_array(lines: Sequence[str]) -> np.ndarray:
      """Parse lines of tab-separated numbers into an array."""
      lines = [x.split("\t") for x in lines]
      return np.array(lines, dtype=np.float32)
  
file_path: datasets/tensorflow_datasets/datasets/protein_net/protein_net_dataset_builder.py
imports: from __future__ import annotations
  import os
  from typing import Dict, Iterator, List, Optional, Sequence, Tuple, Union
  import urllib
  import numpy
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 for calling a global function with example usage: _parse_array(lines) and returns: np