code: def test_flag_jumps_all_args_specifed_as_non_dict(
      timeseries_dataframe,
  ):
      """Test provided kwargs (not of type dict) behave as expected."""
      # Setup
      df = timeseries_dataframe
      orig_cols = df.columns
  
      expected = np.ones((10, 5), dtype=int)
      expected[0, :] = 0
      expected[:, 2:4] = 0
      expected[5:10, 4] = 0
      expected_cols = [f"{c}_jump_flag" for c in orig_cols]
      expected_df = pd.DataFrame(
          expected, columns=expected_cols, index=df.index
      )
  
      # Exercise
      df = df.flag_jumps(
          scale="absolute",
          direction="increasing",
          threshold=0,
          strict=False,
      )
  
      # Verify
      assert list(df.columns) == list(orig_cols) + expected_cols
      assert df.filter(regex="flag").equals(expected_df)
  
imports: import numpy
  import pandas
  import pytest
  import janitor.timeseries
  from janitor.errors import JanitorError
  from janitor.timeseries import _flag_jumps_single_col
label_desc: Use image node_id 15 for calling a global function with example usage: test_flag_jumps_all_args_specifed_as_non_dict(timeseries_dataframe) without return types