docstr: Construct the minimizer pool, map the minimizers to local minima
  and sort the results into a global return object.
code: def find_minima(self):
      """
      Construct the minimizer pool, map the minimizers to local minima
      and sort the results into a global return object.
      """
      self.minimizers()
      if len(self.X_min) != 0:
          # Minimize the pool of minimizers with local minimization methods
          # Note that if Options['local_iter'] is an `int` instead of default
          # value False then only that number of candidates will be minimized
          self.minimise_pool(self.local_iter)
          # Sort results and build the global return object
          self.sort_result()
  
          # Lowest values used to report in case of failures
          self.f_lowest = self.res.fun
          self.x_lowest = self.res.x
      else:
          self.find_lowest_vertex()
  
imports: import numpy
  import time
  import logging
  import warnings
  from scipy import spatial
  from scipy.optimize import OptimizeResult, minimize
  from scipy.optimize._shgo_lib.triangulation import Complex
label_desc: Use image node_id 4 for calling the SHGO obj's underlying member method code with example usage: obj.find_minima() without return types