docstr: Construct locally (approximately) convex bounds
  
  Parameters
  ----------
  v_min : Vertex object
          The minimiser vertex
  
  Returns
  -------
  cbounds : list of lists
      List of size dim with length-2 list of bounds for each dimension
docstr_tok: ["Construct","locally","(","approximately",")","convex","bounds","Parameters","--","--","--","--","--","v_min",":","Vertex","object","The","minimiser","vertex","Returns","--","--","--","-","cbounds",":","list","of","lists","List","of","size","dim","with","length-2","list","of","bounds","for","each","dimension"]
code: def construct_lcb_delaunay(self, v_min, ind=None):
      """
      Construct locally (approximately) convex bounds
  
      Parameters
      ----------
      v_min : Vertex object
              The minimiser vertex
  
      Returns
      -------
      cbounds : list of lists
          List of size dim with length-2 list of bounds for each dimension
      """
      cbounds = []
      for x_b_i in self.bounds:
          cbounds.append([x_b_i[0], x_b_i[1]])
  
      return cbounds
  
imports: from __future__ import division, print_function, absolute_import
  import numpy
  import time
  import logging
  import warnings
  from scipy import spatial
  from scipy.optimize import OptimizeResult, minimize
  from scipy.optimize._shgo_lib import sobol_seq
  from scipy.optimize._shgo_lib.triangulation import Complex
label_desc: Use image node_id 22 for calling the SHGO obj's underlying member method code with example usage: obj.construct_lcb_delaunay(v_min, ind) and returns: cbounds