code: def test_vectorized_func_wrapper(dummy_data):
      func_cols = FuncWrapper(
          np.max, vectorized=True, axis=0
      )  # Axis = columns
      func_rows = FuncWrapper(
          np.max, vectorized=True, axis=1
      )  # Axis = rows
  
      assert func_cols.output_names == ["amax"]
      assert func_rows.output_names == ["amax"]
      assert np.allclose(
          func_cols(dummy_data.values), dummy_data.max().values
      )
      assert np.allclose(
          func_rows(dummy_data.values), dummy_data.max(axis=1).values
      )
  
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 7 for calling a global function with example usage: test_vectorized_func_wrapper(dummy_data) without return types