code: def read_sn3_pascalvincent_tensor(
      path: str, strict: bool = True
  ) -> torch.Tensor:
      """Read a SN3 file in "Pascal Vincent" format (Lush file 'libidx/idx-io.lsh').
      Argument may be a filename, compressed filename, or file object.
      """
      # read
      with open(path, "rb") as f:
          data = f.read()
  
      # parse
      if sys.byteorder == "little":
          magic = get_int(data[0:4])
          nd = magic % 256
          ty = magic // 256
      else:
          nd = get_int(data[0:1])
          ty = (
              get_int(data[1:2])
              + get_int(data[2:3]) * 256
              + get_int(data[3:4]) * 256 * 256
          )
  
      assert 1 <= nd <= 3
      assert 8 <= ty <= 14
      torch_type = SN3_PASCALVINCENT_TYPEMAP[ty]
      s = [get_int(data[4 * (i + 1) : 4 * (i + 2)]) for i in range(nd)]
  
      if sys.byteorder == "big":
          for i in range(len(s)):
              s[i] = int.from_bytes(
                  s[i].to_bytes(4, byteorder="little"),
                  byteorder="big",
                  signed=False,
              )
  
      parsed = torch.frombuffer(
          bytearray(data), dtype=torch_type, offset=(4 * (nd + 1))
      )
  
      # The MNIST format uses the big endian byte order, while `torch.frombuffer` uses whatever the system uses. In case
      # that is little endian and the dtype has more than one byte, we need to flip them.
      if sys.byteorder == "little" and parsed.element_size() > 1:
          parsed = _flip_byte_order(parsed)
  
      assert parsed.shape[0] == np.prod(s) or not strict
      return parsed.view(*s)
  
imports: import codecs
  import os
  import os.path
  import shutil
  import string
  import sys
  import warnings
  from typing import Any, Callable, Dict, List, Optional, Tuple
  from urllib.error import URLError
  import numpy
  import torch
  from PIL import Image
  from .utils import _flip_byte_order, check_integrity, download_and_extract_archive, extract_archive, verify_str_arg
  from .vision import VisionDataset
label_desc: Use image node_id 2 for calling a global function with example usage: read_sn3_pascalvincent_tensor(path, strict) and returns: parsed