code: def test_transform_raises_error_if_na_in_df(df_vartypes, df_na):
      # test case 3: when dataset contains na, transform method
      transformer = ArcsinTransformer(variables=["Marks"])
      transformer.fit(df_vartypes)
      with pytest.raises(ValueError):
          transformer.transform(df_na[df_vartypes.columns])
  
file_path: feature_engine/tests/test_transformation/test_arcsin_transformer.py
imports: import pandas
  import pytest
  from sklearn.exceptions import NotFittedError
  from feature_engine.transformation import ArcsinTransformer
label_desc: Use image node_id 3 for calling a global function with example usage: test_transform_raises_error_if_na_in_df(df_vartypes, df_na) without return types