code: def _read_mutable_buffer_fallback(
      file: BinaryIO, count: int, item_size: int
  ) -> bytearray:
      # A plain file.read() will give a read-only bytes, so we convert it to bytearray to make it mutable
      return bytearray(
          file.read(-1 if count == -1 else count * item_size)
      )
  
file_path: vision/torchvision/prototype/utils/_internal.py
imports: import collections.abc
  import difflib
  import io
  import mmap
  import platform
  from typing import BinaryIO, Callable, Collection, Sequence, TypeVar, Union
  import numpy
  import torch
  from torchvision._utils import sequence_to_str
label_desc: Use image node_id 2 for calling a global function with example usage: _read_mutable_buffer_fallback(file, count, item_size) and returns: bytearray