code: def test_raises_error_when_wrong_input_params(
      _features_to_extract, _variables, _other_params
  ):
      with pytest.raises(ValueError):
          assert DatetimeFeatures(
              features_to_extract=_features_to_extract
          )
      with pytest.raises(ValueError):
          assert DatetimeFeatures(variables=_variables)
      with pytest.raises(ValueError):
          assert DatetimeFeatures(missing_values=_other_params)
      with pytest.raises(ValueError):
          assert DatetimeFeatures(drop_original=_other_params)
      with pytest.raises(ValueError):
          assert DatetimeFeatures(utc=_other_params)
  
imports: import numpy
  import pandas
  import pytest
  from sklearn.exceptions import NotFittedError
  from sklearn.pipeline import Pipeline
  from feature_engine.datetime import DatetimeFeatures
  from feature_engine.datetime._datetime_constants import FEATURES_DEFAULT, FEATURES_SUFFIXES, FEATURES_SUPPORTED
label_desc: Use image node_id 1 for calling a global function with example usage: test_raises_error_when_wrong_input_params(_features_to_extract, _variables, _other_params) without return types