code: def test_generate_import_code_2():
      """Assert that generate_import_code() returns the correct set of dependancies and dependancies are importable."""
  
      pipeline_string = (
          "KNeighborsClassifier(CombineDFs("
          "DecisionTreeClassifier(input_matrix, DecisionTreeClassifier__criterion=gini, "
          "DecisionTreeClassifier__max_depth=8,DecisionTreeClassifier__min_samples_leaf=5,"
          "DecisionTreeClassifier__min_samples_split=5), ZeroCount(input_matrix))"
          "KNeighborsClassifier__n_neighbors=10, "
          "KNeighborsClassifier__p=1,KNeighborsClassifier__weights=uniform"
      )
  
      pipeline = creator.Individual.from_string(
          pipeline_string, tpot_obj._pset
      )
      import_code = generate_import_code(pipeline, tpot_obj.operators)
      expected_code = """import numpy as np
  import pandas as pd
  from sklearn.model_selection import train_test_split
  from sklearn.neighbors import KNeighborsClassifier
  from sklearn.pipeline import make_pipeline, make_union
  from sklearn.tree import DecisionTreeClassifier
  from tpot.builtins import StackingEstimator, ZeroCount
  """
      exec(import_code)  # should not raise error
      assert expected_code == import_code
  
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 7 for calling a global function with example usage: test_generate_import_code_2() without return types