def setUp(self):
self.population = Population()
self.population.fitness(lambda c: sum([g.value for g in c.genes]))
#!/usr/bin/env python
import string
from fuzzywuzzy import fuzz
# Import the population.
from genetix.population import Population
# Create a population.
population = Population(selection_rate=0.4, crossover_rate=1.0, mutation_rate=0.12)
# Set the population size and a blueprint for the chromosome.
# Note that each item in the dictionary represents a named Gene, which can have
# any possibility based on a provided range, or list.
values = string.letters + ",! "
population.populate(2500, {
0: values,
1: values,
2: values,
3: values,
4: values,
5: values,
6: values,
7: values,
8: values,
9: values,
10: values,
11: values,
12: values
})
class TestPopulation(unittest.TestCase):
def setUp(self):
self.population = Population()
self.population.fitness(lambda c: sum([g.value for g in c.genes]))
def test_init(self):
self.assertIsInstance(self.population, Population)
def test_evolve_failure(self):
with self.assertRaises(PopulationException):
for g in self.population.evolve(10):
pass
def test_evolve(self):
blueprint = {'test': range(10)}
self.population.populate(10, blueprint)
results = list(self.population.evolve(10))
self.assertTrue(len(results), 10)
def test_populate(self):
blueprint = {'test': range(10)}
self.population.populate(10, blueprint)
self.assertTrue(self.population.size == 10)
self.assertTrue(len(self.population.chromosomes) == 10)
def test_select(self):
blueprint = {'test': range(100)}
self.population.populate(100, blueprint)
self.population.select()
self.assertIsNotNone(self.population.best_fit)
def test_multiply(self):
# Populate
blueprint = {'test': range(10)}
self.population.populate(10, blueprint)
# Reduce the population down to 2
self.population.chromosomes = self.population.chromosomes[:2]
# Call multiply and make sure we're back to the right population size.
self.population.multiply()
self.assertTrue(len(self.population.chromosomes) == 10)
def test_fitness(self):
self.population.fitness(lambda: 0)
self.assertIsInstance(self.population.fitness_function, types.FunctionType)
