code: def test_get_params():
      clf = DummyClassifier(strategy="most_frequent")
      transformer = EstimatorTransformer(clf)
  
      assert transformer.get_params() == {
          "estimator__constant": None,
          "estimator__random_state": None,
          "estimator": clf,
          "estimator__strategy": "most_frequent",
          "predict_func": "predict",
          "check_input": False,
      }
  
imports: from unittest.mock import Mock, patch
  import numpy
  import pytest
  from sklearn import clone
  from sklearn.dummy import DummyClassifier
  from sklearn.ensemble import HistGradientBoostingClassifier
  from sklearn.linear_model import LinearRegression, Ridge
  from sklearn.multioutput import MultiOutputRegressor
  from sklearn.pipeline import FeatureUnion, Pipeline
  from sklearn.preprocessing import OrdinalEncoder
  from sklearn.utils import check_X_y
  from sklego.common import flatten
  from sklego.meta import EstimatorTransformer
  from tests.conftest import general_checks, transformer_checks
label_desc: Use image node_id 4 for calling a global function with example usage: test_get_params() without return types