code: def disperse_charges_alt(init_pointset, iters, tol=1.0e-3):
      """Reimplementation of disperse_charges making use of
      `scipy.optimize.fmin_slsqp`.
  
      Parameters
      ----------
      init_pointset : (N, 3) ndarray
          Points on a unit sphere.
      iters : int
          Number of iterations to run.
      tol : float
          Tolerance for the optimization.
  
      Returns
      -------
      array-like (N, 3)
          Distributed points on a unit sphere.
  
      """
  
      K = init_pointset.shape[0]
      vects = optimize.fmin_slsqp(
          _get_forces_alt,
          init_pointset.reshape(K * 3),
          f_eqcons=_equality_constraints,
          fprime=_get_grad_forces_alt,
          iter=iters,
          acc=tol,
          args=(),
          iprint=0,
      )
      return vects.reshape((K, 3))
  
imports: import numpy
  import warnings
  from scipy import optimize
  from dipy.core.geometry import cart2sphere, sphere2cart, vector_norm
  from dipy.core.onetime import auto_attr
  from dipy.reconst.recspeed import remove_similar_vertices
label_desc: Use image node_id 14 for calling a global function with example usage: disperse_charges_alt(init_pointset, iters, tol) and returns: vects