input: Write a function to create a new population using genetic algorithm and test it with assert statements.
  assert len(genetic_algorithm(create_population(10), 10)) == 10
  assert len(genetic_algorithm(create_population(5), 5)) == 5
  assert len(genetic_algorithm(create_population(15), 15)) == 15
output: import random
  
  def create_population(size):
      return [[random.randint(0, 1) for _ in range(10)] for _ in range(size)]
  
  def genetic_algorithm(population, size):
      def fitness(individual):
          return sum(individual)
      
      def select_pair(population):
          return random.sample(population, 2)
      
      def crossover(parent1, parent2):
          crossover_point = random.randint(1, len(parent1) - 1)
          return parent1[:crossover_point] + parent2[crossover_point:], parent2[:crossover_point] + parent1[crossover_point:]
      
      def mutate(individual):
          mutation_point = random.randint(0, len(individual) - 1)
          individual[mutation_point] = 1 - individual[mutation_point]
          return individual
      
      new_population = sorted(population, key=fitness, reverse=True)[:size]
      
      while len(new_population) < size:
          parent1, parent2 = select_pair(population)
          offspring1, offspring2 = crossover(parent1, parent2)
          new_population.append(mutate(offspring1))
          if len(new_population) < size:
              new_population.append(mutate(offspring2))
      
      return new_population