code: def fit(self, X, y, sample_weight=None, check_input=True):
      # on the test below we force this to false, we make sure this is
      # actually passed to the regressor
      assert not check_input
      return super().fit(X, y, sample_weight)
  
imports: import numpy
  import pytest
  from sklearn import datasets
  from sklearn.base import BaseEstimator, TransformerMixin, clone
  from sklearn.compose import TransformedTargetRegressor
  from sklearn.dummy import DummyRegressor
  from sklearn.linear_model import LinearRegression, OrthogonalMatchingPursuit
  from sklearn.pipeline import Pipeline
  from sklearn.preprocessing import FunctionTransformer, StandardScaler
  from sklearn.utils._testing import assert_allclose, assert_no_warnings
label_desc: Use image node_id 1 for calling the DummyRegressorWithExtraFitParams obj's underlying member method code with example usage: obj.fit(X, y, sample_weight, check_input) and returns: super