code: def _read_verts(
      file, n_verts: int
  ) -> Tuple[np.ndarray, Optional[np.ndarray]]:
      """
      Returns verts and vertex colors from the file.
  
      Args:
          file: file-like object being read.
          n_verts: The known number of faces.
  
      Returns:
          2D numpy arrays of verts and (if present)
          vertex colors.
      """
  
      color_is_int = 3 == _count_next_line_periods(file)
      color_scale = 1 / 255.0 if color_is_int else 1
  
      with warnings.catch_warnings():
          warnings.filterwarnings(
              "ignore",
              message=".* Empty input file.*",
              category=UserWarning,
          )
          data = np.loadtxt(
              file, dtype=np.float32, ndmin=2, max_rows=n_verts
          )
      if data.shape[0] != n_verts:
          raise ValueError("Not enough vertex data.")
      if data.shape[1] not in [3, 6, 7]:
          raise ValueError("Bad vertex data.")
  
      if data.shape[1] == 3:
          return data, None
      return data[:, :3], data[:, 3:] * color_scale
  
imports: import warnings
  from typing import cast, Optional, Tuple, Union
  import numpy
  import torch
  from iopath.common.file_io import PathManager
  from pytorch3d.io.utils import _check_faces_indices, _open_file, PathOrStr
  from pytorch3d.renderer import TexturesAtlas, TexturesVertex
  from pytorch3d.structures import Meshes
  from .pluggable_formats import endswith, MeshFormatInterpreter
label_desc: Use image node_id 5 for calling a global function with example usage: _read_verts(file, n_verts) and returns: data,  unknown, data,  None