code: def _none_drift(frame_times):
      """Create an intercept vector.
  
      Returns
      -------
      np.ones_like(frame_times)
  
      """
      return np.reshape(
          np.ones_like(frame_times), (np.size(frame_times), 1)
      )
  
file_path: nilearn/nilearn/glm/first_level/design_matrix.py
imports: import sys
  from warnings import warn
  import numpy
  import pandas
  from nilearn._utils import fill_doc
  from nilearn.glm._utils import full_rank
  from nilearn.glm.first_level.experimental_paradigm import check_events, handle_modulation_of_duplicate_events
  from nilearn.glm.first_level.hemodynamic_models import compute_regressor, orthogonalize
label_desc: Use image node_id 3 for calling a global function with example usage: _none_drift(frame_times) and returns: np