code: def initialize_stats_dict(individual):
      '''
      Initializes the stats dict for individual
      The statistics initialized are:
          'generation': generation in which the individual was evaluated. Initialized as: 0
          'mutation_count': number of mutation operations applied to the individual and its predecessor cumulatively. Initialized as: 0
          'crossover_count': number of crossover operations applied to the individual and its predecessor cumulatively. Initialized as: 0
          'predecessor': string representation of the individual. Initialized as: ('ROOT',)
  
      Parameters
      ----------
      individual: deap individual
  
      Returns
      -------
      object
      '''
      individual.statistics['generation'] = 0
      individual.statistics['mutation_count'] = 0
      individual.statistics['crossover_count'] = 0
      individual.statistics['predecessor'] = 'ROOT'f initialize_stats_dict(individual):
      '''
      Initializes the stats dict for individual
      The statistics initialized are:
          'generation': generation in which the individual was evaluated. Initialized as: 0
          'mutation_count': number of mutation operations applied to the individual and its predecessor cumulatively. Initialized as: 0
          'crossover_count': number of crossover operations applied to the individual and its predecessor cumulatively. Initialized as: 0
          'predecessor': string representation of the individual. Initialized as: ('ROOT',)
  
      Parameters
      ----------
      individual: deap individual
  
      Returns
      -------
      object
      '''
      individual.statistics['generation'] = 0
      individual.statistics['mutation_count'] = 0
      individual.statistics['crossover_count'] = 0
      individual.statistics['predecessor'] = 'ROOT',
docs: Initializes the stats dict for individual
      The statistics initialized are:
          'generation': generation in which the individual was evaluated. Initialized as: 0
          'mutation_count': number of mutation operations applied to the individual and its predecessor cumulatively. Initialized as: 0
          'crossover_count': number of crossover operations applied to the individual and its predecessor cumulatively. Initialized as: 0
          'predecessor': string representation of the individual. Initialized as: ('ROOT',)
  
      Parameters
      ----------
      individual: deap individual
  
      Returns
      -------
      object