code: def cxESTwoPoint(ind1, ind2):
      """Executes a classical two points crossover on both the individuals and their
      strategy. The individuals shall be a :term:`sequence` and must have a
      :term:`sequence` :attr:`strategy` attribute. The crossover points for the
      individual and the strategy are the same.
  
      :param ind1: The first evolution strategy participating in the crossover.
      :param ind2: The second evolution strategy participating in the crossover.
      :returns: A tuple of two evolution strategies.
  
      This function uses the :func:`~random.randint` function from the python base
      :mod:`random` module.
      """
      size = min(len(ind1), len(ind2))
  
      pt1 = random.randint(1, size)
      pt2 = random.randint(1, size - 1)
      if pt2 >= pt1:
          pt2 += 1
      else:  # Swap the two cx points
          pt1, pt2 = pt2, pt1
  
      ind1[pt1:pt2], ind2[pt1:pt2] = ind2[pt1:pt2], ind1[pt1:pt2]
      ind1.strategy[pt1:pt2], ind2.strategy[pt1:pt2] = (
          ind2.strategy[pt1:pt2],
          ind1.strategy[pt1:pt2],
      )
  
      return ind1, ind2
  
file_path: deap/deap/tools/crossover.py
imports: import random
  import warnings
  from itertools import repeat
label_desc: Use image node_id 13 for calling a global function with example usage: cxESTwoPoint(ind1, ind2) and returns: ind1,  ind2