def count_fitness(self, *args):
ff_max = sys.float_info.min
ff_min = sys.float_info.max
for rule in self.rules:
rule_ff_value = rule.profit - rule.debt
if rule_ff_value > ff_max:
ff_max = rule_ff_value
if rule_ff_value < ff_min:
ff_min = rule_ff_value
for rule in self.rules:
if not args:
RulesService.count_fitness(ff_max, ff_min,
self.fitness_defaults, rule)
else:
RulesService.count_fitness2(rule, args[0], args[1])
def test_descriptions_generation(self):
rule = Rule([self.left, self.rightTerminal])
rule.fitness = 1
rule.profit = 2
rule.usages_in_invalid_parsing = 3
rule.usages_in_proper_parsing = 4
rule.debt = 5
rule.age = 6
descriptions = RulesService.get_description_string_for_rule(rule)
self.assertEqual(descriptions[0], "fitness (f): 1")
self.assertEqual(descriptions[1], "proper usages (u_p): 4")
self.assertEqual(descriptions[2], "invalid usages (u_n): 3")
self.assertEqual(descriptions[3], "profit (p): 2")
self.assertEqual(descriptions[4], "debt (d): 5")
self.assertEqual(descriptions[5], "age: 6")
def test_rules_similar_three_points(self):
rule = Rule([self.left, self.rightNonTerminal, self.rightTerminal])
rule2 = Rule([self.left, self.rightNonTerminal, self.rightTerminal])
similarities = RulesService.similarities_between_rules(rule, rule2)
self.assertEqual(similarities, 3)