code: def _initIndividual(pcls, maxints):
      part = pcls(random.randint(0, maxint) for maxint in maxints)
      return part
  
imports: from __future__ import division
  import os
  import warnings
  import numpy
  import random
  from deap import base, creator, tools, algorithms
  from collections import defaultdict
  from sklearn.base import clone, is_classifier
  from sklearn.model_selection._validation import _fit_and_score
  from sklearn.model_selection._search import BaseSearchCV, check_cv, _check_param_grid
  from sklearn.metrics import check_scoring
  from sklearn.utils.validation import _num_samples, indexable
label_desc: Use image node_id 3 for calling a global function with example usage: _initIndividual(pcls, maxints) and returns: part