code: def _parse_reveals(file: IO[str]) -> List[str]:
      """Extract and parse all ``"  # E: "`` comments from the passed file-like object.
  
      All format keys will be substituted for their respective value from `FORMAT_DICT`,
      *e.g.* ``"{Tensor}"`` becomes ``"torch.tensor.Tensor"``.
      """
      string = file.read().replace("*", "")
  
      # Grab all `# E:`-based comments
      comments_array = [
          str.partition("  # E: ")[2] for str in string.split("\n")
      ]
      comments = "/n".join(comments_array)
  
      # Only search for the `{*}` pattern within comments,
      # otherwise there is the risk of accidently grabbing dictionaries and sets
      key_set = set(re.findall(r"\{(.*?)\}", comments))
      kwargs = {
          k: FORMAT_DICT.get(k, f"<UNRECOGNIZED FORMAT KEY {k!r}>")
          for k in key_set
      }
      fmt_str = comments.format(**kwargs)
  
      return fmt_str.split("/n")
  
imports: import itertools
  import os
  import re
  import shutil
  import unittest
  from collections import defaultdict
  from threading import Lock
  from typing import Dict, IO, List, Optional
  from torch.testing._internal.common_utils import instantiate_parametrized_tests, parametrize, run_tests, TestCase
label_desc: Use image node_id 7 for calling a global function with example usage: _parse_reveals(file) and returns: fmt_str