code: def test_tsfel_feature_dict_wrapper(dummy_data):
      # Tests if we integrate with ALL tsfel features
      from tsfel.feature_extraction import get_features_by_domain
  
      all_feats = get_features_by_domain()
      # TODO: remove next line once the following is resolved https://github.com/fraunhoferportugal/tsfel/issues/123
      del all_feats["statistical"]["Median absolute deviation"]
  
      all_tsfel_feats = MultipleFeatureDescriptors(
          functions=tsfel_feature_dict_wrapper(all_feats),
          series_names=["TMP", "EDA"],
          windows="5min",
          strides="10min",
      )
      feature_collection = FeatureCollection(all_tsfel_feats)
  
      res_df = feature_collection.calculate(
          dummy_data.first("15min"), return_df=True
      )
      assert (res_df.shape[0] > 0) and (res_df.shape[1]) > 0
  
file_path: tsflex/tests/test_features_integration.py
imports: import sys
  import numpy
  import pytest
  import seglearn
  from tsflex.features import FeatureCollection, FuncWrapper, MultipleFeatureDescriptors
  from tsflex.features.integrations import catch22_wrapper, seglearn_feature_dict_wrapper, seglearn_wrapper, tsfel_feature_dict_wrapper, tsfresh_combiner_wrapper, tsfresh_settings_wrapper
  from .utils import dummy_data
label_desc: Use image node_id 8 for calling a global function with example usage: test_tsfel_feature_dict_wrapper(dummy_data) without return types