code: def repeated_steps():
      return (StandardScaler(), StandardScaler())
  
imports: import logging
  import pytest
  from sklearn import datasets
  from sklearn.base import BaseEstimator, TransformerMixin
  from sklearn.model_selection import GridSearchCV
  from sklearn.multiclass import OneVsOneClassifier, OneVsRestClassifier, OutputCodeClassifier
  from sklearn.pipeline import FeatureUnion
  from sklearn.preprocessing import StandardScaler
  from sklearn.svm import LinearSVC
  from sklego.pipeline import DebugPipeline, make_debug_pipeline
label_desc: Use image node_id 4 for calling a global function with example usage: repeated_steps() and returns: StandardScaler,  StandardScaler