code: def test_base_imputer_not_transform(data):
      imputer = NoTransformIndicatorImputer(add_indicator=True)
      err_msg = "Call _fit_indicator and _transform_indicator in the imputer implementation"
      with pytest.raises(ValueError, match=err_msg):
          imputer.fit(data).transform(data)
      with pytest.raises(ValueError, match=err_msg):
          imputer.fit_transform(data)
  
imports: import numpy
  import pytest
  from sklearn.impute._base import _BaseImputer
  from sklearn.impute._iterative import _assign_where
  from sklearn.utils._mask import _get_mask
  from sklearn.utils._testing import _convert_container, assert_allclose
label_desc: Use image node_id 3 for calling a global function with example usage: test_base_imputer_not_transform(data) without return types