def test_perform_replacements(self):
# Existing fitness list
#[[0.5, 0], [1.5, 1], [2.5, 2], [3.5, 3], [4.5, 4]]
# make some replacement selections
# This should replace the member_no 4
self.ges.fitness_list.set_fitness_type(MIN)
self.ges.set_replacement_selections(
ReplacementDeleteWorst(self.ges.fitness_list, 1))
# make a fitness pool
new_member = deepcopy(self.ges.population[2])
new_member.local_bnf['<IAMNEW>'] = ['yes i am']
orig_member_no = new_member.member_no
fitness_pool = [new_member]
# do the replacements
self.ges._perform_replacements(fitness_pool)
# did replacement take place
self.assertEqual('yes i am',
self.ges.population[4].local_bnf['<IAMNEW>'][0])
# was the local bnf for each replaced member update for new member no
self.assertEqual(4, self.ges.population[4].member_no)
# was the generation number bumped up by one
self.assertEqual(1, self.ges.population[4]._generation)
def setUp(self):
self.fitness_list = FitnessList(MAX)
self.fitness_list.extend([[1.5, 0], [2.5, 1], [12.0, 2]])
self.repl = ReplacementDeleteWorst(self.fitness_list,
replacement_count=1)
