code: def test_time_index_sequence_stroll(dummy_data):
      df_eda = dummy_data["EDA"]
      window, stride = 1000, 50
      stroll = TimeIndexSampleStridedRolling(
          df_eda, window=window, strides=[stride], window_idx="end"
      )
      out = stroll.apply_func(FuncWrapper(np.min))
      assert out.index[0] == df_eda.index[window]
      assert out.index[1] == df_eda.index[window + stride]
      assert out.index[2] == df_eda.index[window + 2 * stride]
  
imports: import numpy
  import pandas
  import pytest
  from tsflex.features import FuncWrapper
  from tsflex.features.segmenter.strided_rolling import SequenceStridedRolling, StridedRolling, TimeIndexSampleStridedRolling, TimeStridedRolling
  from .utils import dummy_data
label_desc: Use image node_id 6 for calling a global function with example usage: test_time_index_sequence_stroll(dummy_data) without return types