code: def test_robust_pass_through_features(dummy_data):
      # here we set the passtrough-nans attribute to false
      feats = MultipleFeatureDescriptors(
          functions=make_robust(
              [np.mean, FuncWrapper(np.min)], passthrough_nans=False
          ),
          series_names="EDA",
          windows="10s",
          strides="5s",
      )
      feature_collection = FeatureCollection(feats)
  
      eda_data = dummy_data["EDA"].dropna()
      eda_data[
          np.random.choice(dummy_data.index[1:-1], 10, replace=False)
      ] = np.nan
  
      res_df = feature_collection.calculate(
          eda_data, return_df=True, n_jobs=0
      )
      assert not res_df.isna().any().any()
  
file_path: tsflex/tests/test_features_utils.py
imports: import numpy
  import pandas
  import pytest
  from tsflex.features import FeatureCollection, FuncWrapper, MultipleFeatureDescriptors
  from tsflex.features.utils import make_robust
  from .utils import dummy_data
label_desc: Use image node_id 6 for calling a global function with example usage: test_robust_pass_through_features(dummy_data) without return types