code: def test_nolds_all_features(dummy_data):
      # Tests if we integrate with ALL nolds features
      # -> this requires no additional wrapper!
      import nolds
  
      func_wrapper_nolds_funcs = [
          FuncWrapper(nolds.corr_dim, emb_dim=3),
          FuncWrapper(
              nolds.lyap_e,
              output_names=[
                  "lyap_e_1",
                  "lyap_e_2",
                  "lyap_e_3",
                  "lyap_e_4",
              ],
          ),
      ]  # funcs that require a FuncWrapper
  
      nolds_funcs = [
          nolds.sampen,
          nolds.lyap_r,
          nolds.hurst_rs,
          nolds.dfa,
      ]
  
      nolds_feats = MultipleFeatureDescriptors(
          functions=nolds_funcs + func_wrapper_nolds_funcs,
          series_names=["TMP", "EDA"],
          windows="5min",
          strides="10min",
      )
      feature_collection = FeatureCollection(nolds_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 11 for calling a global function with example usage: test_nolds_all_features(dummy_data) without return types