code: def test_regressor_score_with_None(y, y_test):
      reg = DummyRegressor()
      reg.fit(None, y)
      assert reg.score(None, y_test) == 1.0
  
imports: import numpy
  import pytest
  import scipy.sparse
  from sklearn.base import clone
  from sklearn.dummy import DummyClassifier, DummyRegressor
  from sklearn.exceptions import NotFittedError
  from sklearn.utils._testing import assert_almost_equal, assert_array_almost_equal, assert_array_equal, ignore_warnings
  from sklearn.utils.fixes import CSC_CONTAINERS
  from sklearn.utils.stats import _weighted_percentile
label_desc: Use image node_id 41 for calling a global function with example usage: test_regressor_score_with_None(y, y_test) without return types