<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
 def mutate_random_individual(population, toolbox):
 """Picks a random individual from the population, and performs mutation on a copy of it. Parameters population: array of individuals Returns individual: individual An individual which is a mutated copy of one of the individuals in population, the returned individual does not have fitness.values """

    idx = np.random.randint(0,len(population))
    ind = population[idx]
    ind, = toolbox.mutate(ind)
    del ind.fitness.values
    return ind