def test_halt_expected(self):
"""
Ensure the function returns true if we're in a halting state.
"""
g1 = Genome(['c', 'a', 't'])
g1.fitness = len(TARGET_WORD)
g2 = Genome(['d', 'o', 'g'])
g2.fitness = 2
g3 = Genome(['f', 'o', 'o'])
g3.fitness = 3
# Any fittest solution with fitness = length of the target word.
population = [g1, g2, g3]
result = halt(population, 1)
self.assertTrue(result)
def test_halt_expected(self):
"""
Ensure the function returns true if we're in a halting state.
"""
g1 = Genome(['c', 'a', 't'])
g1.fitness = len(TARGET_WORD)
g2 = Genome(['d', 'o', 'g'])
g2.fitness = 2
g3 = Genome(['f', 'o', 'o'])
g3.fitness = 3
# Any fittest solution with fitness = length of the target word.
population = [g1, g2, g3]
result = halt(population, 1)
self.assertTrue(result)
def test_halt_not(self):
"""
Ensures if the fittest genome has fitness < 4 then halt doesn't
succeed.
"""
g1 = Genome(['c', 'a', 't'])
g1.fitness = len(TARGET_WORD) - 1
g2 = Genome(['d', 'o', 'g'])
g2.fitness = 2
g3 = Genome(['f', 'o', 'o'])
g3.fitness = 3
# Any fittest solution with fitness < target word length means call a
# halt.
population = [g1, g2, g3]
result = halt(population, 1)
self.assertFalse(result)
def test_halt_not(self):
"""
Ensures if the fittest genome has fitness < 4 then halt doesn't
succeed.
"""
g1 = Genome(['c', 'a', 't'])
g1.fitness = len(TARGET_WORD) - 1
g2 = Genome(['d', 'o', 'g'])
g2.fitness = 2
g3 = Genome(['f', 'o', 'o'])
g3.fitness = 3
# Any fittest solution with fitness < target word length means call a
# halt.
population = [g1, g2, g3]
result = halt(population, 1)
self.assertFalse(result)
