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))
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
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)