code: def write_off(data: Data, path: str) -> None:
      r"""Writes a :class:`torch_geometric.data.Data` object to an OFF (Object
      File Format) file.
  
      Args:
          data (:class:`torch_geometric.data.Data`): The data object.
          path (str): The path to the file.
      """
      assert data.pos is not None
      assert data.face is not None
  
      num_nodes, num_faces = data.pos.size(0), data.face.size(1)
  
      pos = data.pos.to(torch.float)
      face = data.face.t()
      num_vertices = torch.full(
          (num_faces, 1), face.size(1), dtype=torch.long
      )
      face = torch.cat([num_vertices, face], dim=-1)
  
      threshold = PRINT_OPTS.threshold
      torch.set_printoptions(threshold=float("inf"))
  
      pos_repr = re.sub(",", "", _tensor_str(pos, indent=0))
      pos_repr = "\n".join([x[2:-1] for x in pos_repr.split("\n")])[:-1]
  
      face_repr = re.sub(",", "", _tensor_str(face, indent=0))
      face_repr = "\n".join([x[2:-1] for x in face_repr.split("\n")])[
          :-1
      ]
  
      with open(path, "w") as f:
          f.write(f"OFF\n{num_nodes} {num_faces} 0\n")
          f.write(pos_repr)
          f.write("\n")
          f.write(face_repr)
          f.write("\n")
      torch.set_printoptions(threshold=threshold)
  
file_path: pytorch_geometric/torch_geometric/io/off.py
imports: import re
  from typing import List
  import torch
  from torch import Tensor
  from torch._tensor_str import PRINT_OPTS, _tensor_str
  from torch_geometric.data import Data
  from torch_geometric.io import parse_txt_array
label_desc: Use image node_id 4 for calling a global function with example usage: write_off(data, path) without return types