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_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))
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))
if __name__ == '__main__':
args = parser.parse_args()
cf = [int(x) for x in args.cantus_firmus]
species = args.species
output = 'out'
if args.out:
output = args.out
population_size = 1000
mutation_range = 7
mutation_rate = 0.4
if species == 1:
population_size = first.DEFAULT_POPULATION_SIZE
mutation_range = first.DEFAULT_MUTATION_RANGE
mutation_rate = first.DEFAULT_MUTATION_RATE
start_population = first.create_population(population_size, cf)
fitness_function = first.make_fitness_function(cf)
generate_function = first.make_generate_function(mutation_range,
mutation_rate, cf)
halt_function = first.halt
elif species == 2:
population_size = second.DEFAULT_POPULATION_SIZE
mutation_range = second.DEFAULT_MUTATION_RANGE
mutation_rate = second.DEFAULT_MUTATION_RATE
start_population = second.create_population(population_size, cf)
fitness_function = second.make_fitness_function(cf)
generate_function = first.make_generate_function(mutation_range,
mutation_rate, cf)
halt_function = second.make_halt_function(cf)
elif species == 3:
population_size = third.DEFAULT_POPULATION_SIZE
