code: def test_constant_strategy_exceptions(y, params, err_msg):
      X = [[0], [0], [0], [0]]
  
      clf = DummyClassifier(strategy="constant", **params)
      with pytest.raises(ValueError, match=err_msg):
          clf.fit(X, y)
  
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 31 for calling a global function with example usage: test_constant_strategy_exceptions(y, params, err_msg) without return types