code: def test_chunking_dataframe_input_fs_dict():
      df_acc = pd.DataFrame(
          index=pd.date_range(
              datetime.now(), periods=10_000, freq="1s"
          ),
          data=np.ones((10_000, 3)),
          columns=["ACC_x", "ACC_y", "ACC_z"],
      )
  
      df_gyro = pd.DataFrame(
          index=pd.date_range(
              datetime.now(), periods=20_000, freq="500ms"
          ),
          data=np.ones((20_000, 3)),
          columns=["Gyro_x", "Gyro_y", "Gyro_z"],
      )
  
      out = chunk_data(
          {"acc": df_acc, "gyro": df_gyro},
          fs_dict={"acc": 1, "gyro": 2},
      )
      assert len(out) == 1
  
file_path: tsflex/tests/test_chunking.py
imports: from datetime import datetime
  import numpy
  import pandas
  import pytest
  from tsflex.chunking import chunk_data
label_desc: Use image node_id 7 for calling a global function with example usage: test_chunking_dataframe_input_fs_dict() without return types