class_docstr: Dataset used to parallelize the reading of the timestamps
  of a list of videos, given their paths in the filesystem.
  
  Used in VideoClips and defined at top level, so it can be
  pickled when forking.
code: def __init__(self, video_paths: List[str]) -> None:
      self.video_paths = video_paths
  
imports: import bisect
  import math
  import warnings
  from fractions import Fraction
  from typing import Any, Callable, cast, Dict, List, Optional, Tuple, TypeVar, Union
  import torch
  from torchvision.io import _probe_video_from_file, _read_video_from_file, read_video, read_video_timestamps
  from .utils import tqdm
label_desc: Use image node_id 1 to create a new _VideoTimestampsDataset object  with example: obj = _VideoTimestampsDataset(video_paths)