code: def test_flag_jumps_for_one_column(timeseries_dataframe):
      """
      Test provided strict behaves as expected for a single column.
      """
      df = timeseries_dataframe
      orig_cols = df.columns
      expected = [0, 1, 1, 1, 1, 1, 1, 1, 1, 1]
  
      # Exercise
      df = df.flag_jumps(scale=dict(col1="absolute"), strict=True)
  
      # Verify
      assert list(df.columns) == list(orig_cols) + ["col1_jump_flag"]
      np.testing.assert_array_equal(
          df["col1_jump_flag"].array, expected
      )
  
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 19 for calling a global function with example usage: test_flag_jumps_for_one_column(timeseries_dataframe) without return types