code: def test_multi_input_numpy_func_wrapper(dummy_data):
      def mean_abs_diff(sig1: np.ndarray, sig2: np.ndarray) -> float:
          return np.mean(np.abs(sig1 - sig2))
  
      np_func = FuncWrapper(mean_abs_diff)
  
      assert np_func.output_names == ["mean_abs_diff"]
      res = np_func(dummy_data["EDA"], dummy_data["TMP"])
      assert np.isclose(
          res, (dummy_data["EDA"] - dummy_data["TMP"]).abs().mean()
      )
  
file_path: tsflex/tests/test_features_func_wrapper.py
imports: import functools
  from typing import Tuple
  import numpy
  import pandas
  import pytest
  from tsflex.features import FuncWrapper
  from .utils import dummy_data
label_desc: Use image node_id 3 for calling a global function with example usage: test_multi_input_numpy_func_wrapper(dummy_data) and returns: np