code: def duplicate_events_paradigm():
      conditions = ["c0", "c0", "c0", "c0", "c1", "c1"]
      onsets = [10, 30, 70, 70, 10, 30]
      durations = [1.0, 1.0, 1.0, 1.0, 1.0, 1]
      events = pd.DataFrame(
          {
              "trial_type": conditions,
              "onset": onsets,
              "duration": durations,
              "modulation": np.ones(len(onsets)),
          }
      )
      return events
  
file_path: nilearn/nilearn/glm/tests/_testing.py
imports: import numpy
  import pandas
  from nilearn.conftest import _rng
label_desc: Use image node_id 13 for calling a global function with example usage: duplicate_events_paradigm() and returns: events