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