def test_returns_valid_genomes(self):
"""
Checks the genomes returned by the create_population function are
of the correct type.
"""
result = create_population(1, CANTUS_FIRMUS)
self.assertEqual(Genome, type(result[0]))
def test_returns_valid_genomes(self):
"""
Checks the genomes returned by the create_population function are
of the correct type.
"""
result = create_population(1, CANTUS_FIRMUS)
self.assertEqual(Genome, type(result[0]))
def test_solutions_have_correct_number_of_notes(self):
"""
Ensures that all solutions have the expected number of notes.
"""
result = create_population(20, CANTUS_FIRMUS)
expected_length = len(CANTUS_FIRMUS)
for genome in result:
self.assertEqual(expected_length, len(genome.chromosome))
def test_solutions_have_correct_number_of_notes(self):
"""
Ensures that all solutions have the expected number of notes.
"""
result = create_population(20, CANTUS_FIRMUS)
expected_length = len(CANTUS_FIRMUS)
for genome in result:
self.assertEqual(expected_length, len(genome.chromosome))
def test_uses_only_valid_intervals(self):
"""
Tests that only valid consonant intervals are used.
"""
valid_intervals = [2, 4, 5, 7, 9, 11]
result = create_population(20, CANTUS_FIRMUS)
for genome in result:
for i in range(len(genome.chromosome)):
contrapunctus_note = genome.chromosome[i]
cantus_firmus_note = CANTUS_FIRMUS[i]
interval = contrapunctus_note - cantus_firmus_note
self.assertIn(interval, valid_intervals)
def test_uses_only_valid_intervals(self):
"""
Tests that only valid consonant intervals are used.
"""
valid_intervals = [2, 4, 5, 7, 9, 11]
result = create_population(20, CANTUS_FIRMUS)
for genome in result:
for i in range(len(genome.chromosome)):
contrapunctus_note = genome.chromosome[i]
cantus_firmus_note = CANTUS_FIRMUS[i]
interval = contrapunctus_note - cantus_firmus_note
self.assertIn(interval, valid_intervals)
def test_returns_correct_number_of_genomes(self):
"""
Ensures the correct number of genomes are returned by the function.
"""
result = create_population(100, CANTUS_FIRMUS)
self.assertEqual(100, len(result))
mutation_rate, cf)
halt_function = second.make_halt_function(cf)
elif species == 3:
population_size = third.DEFAULT_POPULATION_SIZE
mutation_range = third.DEFAULT_MUTATION_RANGE
mutation_rate = third.DEFAULT_MUTATION_RATE
start_population = third.create_population(population_size, cf)
fitness_function = third.make_fitness_function(cf)
generate_function = third.make_generate_function(mutation_range,
mutation_rate, cf)
halt_function = third.make_halt_function(cf)
elif species == 4:
population_size = fourth.DEFAULT_POPULATION_SIZE
mutation_range = fourth.DEFAULT_MUTATION_RANGE
mutation_rate = fourth.DEFAULT_MUTATION_RATE
start_population = fourth.create_population(population_size, cf)
fitness_function = fourth.make_fitness_function(cf)
generate_function = fourth.make_generate_function(mutation_range,
mutation_rate, cf)
halt_function = fourth.make_halt_function(cf)
ga = ga.genetic_algorithm(start_population, fitness_function,
generate_function, halt_function)
fitness = 0.0
counter = 0
for generation in ga:
counter += 1
fitness = generation[0].fitness
print "--- Generation %d ---" % counter
print generation[0]
def test_returns_correct_number_of_genomes(self):
"""
Ensures the correct number of genomes are returned by the function.
"""
result = create_population(100, CANTUS_FIRMUS)
self.assertEqual(100, len(result))
