code: def _lowess_bisquare(t):
      """
      The bisquare function applied to a numpy array.
      The bisquare function is (1-t**2)**2.
  
      Parameters
      ----------
      t : ndarray
          array bisquare function is applied to, element-wise and in-place.
  
      Returns
      -------
      Nothing
      """
      # t = (1-t**2)**2
      t *= t
      t[:] = np.negative(t)  # , out=t)
      t += 1
      t *= t
  
file_path: statsmodels/statsmodels/nonparametric/smoothers_lowess_old.py
imports: import numpy
  from numpy.linalg import lstsq
label_desc: Use image node_id 8 for calling a global function with example usage: _lowess_bisquare(t) without return types