code: def test_partial_multiple():
      run_test(60, 10, True)
  
imports: from dataclasses import replace
  import torch
  from ffcv.pipeline.allocation_query import AllocationQuery
  from ffcv.pipeline.compiler import Compiler
  import numpy
  from typing import Callable
  from assertpy import assert_that
  from torch.utils.data import Dataset
  import logging
  import os
  from assertpy import assert_that
  from tempfile import NamedTemporaryFile
  from ffcv.pipeline.operation import Operation
  from ffcv.transforms.ops import ToTensor
  from multiprocessing import cpu_count
  from ffcv.writer import DatasetWriter
  from ffcv.reader import Reader
  from ffcv.loader import Loader
  from ffcv.fields import IntField, FloatField, BytesField
  from ffcv.fields.basics import FloatDecoder
  from ffcv.pipeline.state import State
  from test_writer import DummyDataset
label_desc: Use image node_id 5 for calling a global function with example usage: test_partial_multiple() without return types