code: def selBest(individuals, k, fit_attr="fitness"):
      """Select the *k* best individuals among the input *individuals*. The
      list returned contains references to the input *individuals*.
  
      :param individuals: A list of individuals to select from.
      :param k: The number of individuals to select.
      :param fit_attr: The attribute of individuals to use as selection criterion
      :returns: A list containing the k best individuals.
      """
      return sorted(
          individuals, key=attrgetter(fit_attr), reverse=True
      )[:k]
  
file_path: deap/deap/tools/selection.py
imports: import random
  import numpy
  from functools import partial
  from operator import attrgetter
label_desc: Use image node_id 2 for calling a global function with example usage: selBest(individuals, k, fit_attr) and returns: sorted