code: def _construct_compose_pipeline_instance(Estimator):
      # Minimal / degenerate instances: only useful to test the docstrings.
      if Estimator.__name__ == "Pipeline":
          return Estimator(steps=[("clf", LogisticRegression())])
  
imports: import importlib
  import inspect
  import warnings
  from inspect import signature
  from pkgutil import walk_packages
  import pytest
  from sklearn.datasets import make_classification
  from sklearn.linear_model import LogisticRegression
  from sklearn.utils import IS_PYPY
  from sklearn.utils._testing import _get_func_name, check_docstring_parameters, ignore_warnings
  from sklearn.utils.estimator_checks import _enforce_estimator_tags_y
  from sklearn.utils.deprecation import _is_deprecated
  from sklearn.utils.estimator_checks import _construct_instance
  import imblearn
  from imblearn.base import is_sampler
  from imblearn.utils.estimator_checks import _set_checking_parameters
  from imblearn.utils.testing import all_estimators
label_desc: Use image node_id 3 for calling a global function with example usage: _construct_compose_pipeline_instance(Estimator) and returns: Estimator