code: def read_file(
      folder: str,
      prefix: str,
      name: str,
      dtype: Optional[torch.dtype] = None,
  ) -> Tensor:
      path = osp.join(folder, f"{prefix}_{name}.txt")
      return read_txt_array(path, sep=",", dtype=dtype)
  
file_path: pytorch_geometric/torch_geometric/io/tu.py
imports: import os.path
  from typing import Dict, List, Optional, Tuple
  import numpy
  import torch
  from torch import Tensor
  from torch_geometric.data import Data
  from torch_geometric.io import fs, read_txt_array
  from torch_geometric.utils import coalesce, cumsum, one_hot, remove_self_loops
label_desc: Use image node_id 2 for calling a global function with example usage: read_file(folder, prefix, name, dtype) and returns: read_txt_array