code: def test_all_estimator_no_base_class(name, Estimator):
      # test that all_estimators doesn't find abstract classes.
      msg = (
          f"Base estimators such as {name} should not be included"
          f" in all_estimators"
      )
      assert not name.lower().startswith("base"), msg
  
imports: import warnings
  from collections import OrderedDict
  import numpy
  import pytest
  from sklearn.base import clone
  from sklearn.exceptions import ConvergenceWarning
  from sklearn.utils._testing import SkipTest, ignore_warnings, set_random_state
  from sklearn.utils.estimator_checks import _construct_instance, _get_check_estimator_ids
  from sklearn.utils.estimator_checks import parametrize_with_checks
  from imblearn.over_sampling import RandomOverSampler
  from imblearn.under_sampling import NearMiss, RandomUnderSampler
  from imblearn.utils.estimator_checks import _set_checking_parameters, check_dataframe_column_names_consistency, check_param_validation, parametrize_with_checks
  from imblearn.utils.testing import all_estimators
label_desc: Use image node_id 1 for calling a global function with example usage: test_all_estimator_no_base_class(name, Estimator) without return types