code: def given_saved_some_step(multiply_by, step_no, path):
      some_step1 = MultiplyByN(multiply_by=multiply_by)
      some_step1.name = SOME_STEPS[step_no]
      dump(some_step1, path)
  
imports: import os
  import numpy
  from joblib import dump
  from py._path.local import LocalPath
  from pprint import pprint
  from neuraxle.hyperparams.space import RecursiveDict
  from neuraxle.base import CX, StepWithContext, TruncableJoblibStepSaver
  from neuraxle.pipeline import Pipeline
  from neuraxle.steps.numpy import MultiplyByN
label_desc: Use image node_id 12 for calling a global function with example usage: given_saved_some_step(multiply_by, step_no, path) without return types