code: def read_txt_array(
      path: str,
      sep: Optional[str] = None,
      start: int = 0,
      end: Optional[int] = None,
      dtype: Optional[torch.dtype] = None,
      device: Optional[torch.device] = None,
  ) -> Tensor:
      with fsspec.open(path, "r") as f:
          src = f.read().split("\n")[:-1]
      return parse_txt_array(src, sep, start, end, dtype, device)
  
imports: from typing import List, Optional
  import fsspec
  import torch
  from torch import Tensor
label_desc: Use image node_id 2 for calling a global function with example usage: read_txt_array(path, sep, start, end, dtype, device) and returns: parse_txt_array