def test_fitness_function_returns_float(self):
"""
Makes sure the generated fitness function returns a fitness score as a
float.
"""
fitness_function = make_fitness_function(CANTUS_FIRMUS)
genome = Genome([1, 2, 3])
result = fitness_function(genome)
self.assertTrue(float, type(result))
def test_fitness_function_returns_float(self):
"""
Makes sure the generated fitness function returns a fitness score as a
float.
"""
fitness_function = make_fitness_function(CANTUS_FIRMUS)
genome = Genome([1, 2, 3])
result = fitness_function(genome)
self.assertTrue(float, type(result))
def test_fitness_function_uses_cached_genome_fitness(self):
"""
Ensures the fitness function bails if there is already a score set for
the genome.
"""
fitness_function = make_fitness_function(CANTUS_FIRMUS)
genome = Genome([1, 2, 3])
genome.fitness = 12345
result = fitness_function(genome)
self.assertEqual(12345, result)
def test_fitness_function_uses_cached_genome_fitness(self):
"""
Ensures the fitness function bails if there is already a score set for
the genome.
"""
fitness_function = make_fitness_function(CANTUS_FIRMUS)
genome = Genome([1, 2, 3])
genome.fitness = 12345
result = fitness_function(genome)
self.assertEqual(12345, result)
def test_fitness_function_sets_fitness_on_genome(self):
"""
Ensures the fitness score is set in the genome's fitness attribute and
is the same as the returned fitness score.
"""
fitness_function = make_fitness_function(CANTUS_FIRMUS)
genome = Genome([1, 2, 3])
self.assertEqual(None, genome.fitness)
result = fitness_function(genome)
self.assertNotEqual(None, genome.fitness)
self.assertEqual(result, genome.fitness)
def test_fitness_function_sets_fitness_on_genome(self):
"""
Ensures the fitness score is set in the genome's fitness attribute and
is the same as the returned fitness score.
"""
fitness_function = make_fitness_function(CANTUS_FIRMUS)
genome = Genome([1, 2, 3])
self.assertEqual(None, genome.fitness)
result = fitness_function(genome)
self.assertNotEqual(None, genome.fitness)
self.assertEqual(result, genome.fitness)
def test_make_fitness_function_returns_callable(self):
"""
Ensures the make_fitness_function returns a callable.
"""
result = make_fitness_function(CANTUS_FIRMUS)
self.assertTrue(callable(result))
def test_make_fitness_function_returns_callable(self):
"""
Ensures the make_fitness_function returns a callable.
"""
result = make_fitness_function(CANTUS_FIRMUS)
self.assertTrue(callable(result))
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
mutation_range = third.DEFAULT_MUTATION_RANGE
