def test_mutate_length(): test_pop = h.first_gen() for individual in test_pop: new = h.mutate(individual) assert len(new) - 1 == len(individual) or len(new) + 1 == len( individual) or len(new) == len(individual) or len(new) - 2 == len( individual)
def test_proper_breeding(): test_pop = h.new_breeders( h.calculate_fitness_of_population(h.first_gen(), 'Hello World!'))[0][:2] parent1, parent2 = test_pop test = h.breed(test_pop) for child in test: for i in range(len(child)): assert child[i] == parent1[0][i] or child[i] == parent2[0][i]
def test_breed_length(): test_pop = h.new_breeders( h.calculate_fitness_of_population(h.first_gen(), 'Hello World!'))[0] test = h.breed(test_pop) assert len(test) == 100
def test_parents_are_good(): test_pop = h.calculate_fitness_of_population(h.first_gen(), 'Hello World!') test = h.new_breeders(test_pop)[0] for i in range(24): assert h.fitness(test[i][0], 'Hello World!') >= h.fitness( test[i + 1][0], 'Hello World!')
def test_parent_length(): test_pop = h.calculate_fitness_of_population(h.first_gen(), 'Hello World!') test = h.new_breeders(test_pop)[0] assert len(test) == 50
def test_fitness_calculation_is_accurate(): test_pop = h.first_gen() test = h.calculate_fitness_of_population(test_pop, 'Hello World!') for i in test: assert i[1] == h.fitness(i[0], 'Hello World!')
def test_fitness_calculation_changes_format(): test_pop = h.first_gen() test = h.calculate_fitness_of_population(test_pop, 'Hello World!') for i in test: assert len(i) == 2
def test_fitness_calculation_length(): test_pop = h.first_gen() test = h.calculate_fitness_of_population(test_pop, 'Hello World!') assert len(test) == 100
def test_first_gen_randomness(): test = h.first_gen() for i in range(99): assert test[i] != test[i + 1]
def test_first_gen_length(): test = h.first_gen() assert len(test) == 100
def test_mutate_changes(): test_pop = h.first_gen() for individual in test_pop: new = h.mutate(individual) assert new != individual