code: def test_seglearn_feature_dict_wrapper(dummy_data):
      # Tests if we integrate with ALL seglearn features
      all_features = seglearn.feature_functions.all_features
  
      all_seglearn_feats = MultipleFeatureDescriptors(
          functions=seglearn_feature_dict_wrapper(all_features()),
          series_names=["TMP", "EDA"],
          windows="5min",
          strides="5min",
      )
      feature_collection = FeatureCollection(all_seglearn_feats)
  
      res_df = feature_collection.calculate(dummy_data, return_df=True)
      assert res_df.shape[1] == (len(all_features()) - 1 + 4) * 2
      assert res_df.shape[0] > 0
      assert not res_df.isna().any().any()
  
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 2 for calling a global function with example usage: test_seglearn_feature_dict_wrapper(dummy_data) without return types