code: def test_generate_import_code():
      """Assert that generate_import_code() returns the correct set of dependancies for a given pipeline."""
  
      pipeline = creator.Individual.from_string(
          "GaussianNB(RobustScaler(input_matrix))", tpot_obj._pset
      )
  
      expected_code = """import numpy as np
  import pandas as pd
  from sklearn.model_selection import train_test_split
  from sklearn.naive_bayes import GaussianNB
  from sklearn.pipeline import make_pipeline
  from sklearn.preprocessing import RobustScaler
  """
      assert expected_code == generate_import_code(
          pipeline, tpot_obj.operators
      )
  
imports: from tqdm import tqdm
  import numpy
  from os import remove, path
  from tpot import TPOTClassifier, TPOTRegressor
  from tpot.export_utils import export_pipeline, generate_import_code, _indent, generate_pipeline_code, get_by_name, set_param_recursive
  from tpot.operator_utils import TPOTOperatorClassFactory
  from tpot.config.classifier import classifier_config_dict
  from sklearn.datasets import load_digits
  from sklearn.model_selection import train_test_split
  from deap import creator
  from nose.tools import assert_raises, assert_equal, nottest
label_desc: Use image node_id 6 for calling a global function with example usage: test_generate_import_code() without return types