input: Write a python function to create an individual using DEAP library and evaluate its fitness based on a given fitness function.
  assert fitness_function(create_individual()) == [expected_value_for_individual_1]
  assert fitness_function(create_individual()) == [expected_value_for_individual_2]
  assert fitness_function(create_individual()) == [expected_value_for_individual_3]
output: import random
  from deap import base, creator, tools
  
  # Define the individual and fitness
  creator.create("FitnessMax", base.Fitness, weights=(1.0,))
  creator.create("Individual", list, fitness=creator.FitnessMax)
  
  def create_individual():
      toolbox = base.Toolbox()
      # Define the attribute generator (random integers between 0 and 100)
      toolbox.register("attr_int", random.randint, 0, 100)
      # Define the individual creation method to fill up with 5 attributes
      toolbox.register("individual", tools.initRepeat, creator.Individual, toolbox.attr_int, 5)
      # Create an individual
      return toolbox.individual()
  
  def fitness_function(individual):
      # Simple fitness function summing the values of the individual
      return [sum(individual)]