def save_population_operation(self):
population = RulePopulation(self.STARTING_SYMBOL)
for rule_model in self.population_editor.rules:
if rule_model.is_terminal:
parent, terminal_word = Rule.from_human_friendly_representation(
population.symbol_shift(),
population.starting_symbol,
population.universal_symbol,
rule_model.parent,
rule_model.left_child,
rule_model.right_child
)
terminal_symbol = self.translator.word_to_symbol(terminal_word)
population.add_rule(Rule(parent, terminal_symbol), self.randomizer)
else:
parent, left, right = Rule.from_human_friendly_representation(
population.symbol_shift(),
population.starting_symbol,
population.universal_symbol,
rule_model.parent,
rule_model.left_child,
rule_model.right_child
)
population.add_rule(Rule(parent, left, right), self.randomizer)
name = os.path.basename(self.population_editor.population_path).split('.')[0]
path = os.path.dirname(self.population_editor.population_path)
self.simulation_executor.save_population_data(population, path, name)
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.sut = RulePopulation('S')
self.rules = [
Rule('A', 'B', 'C'),
Rule('D', 'B', 'C'),
Rule('A', 'J', 'C'),
Rule('A', 'B', 'J')
]
self.randomizer_mock = create_autospec(Randomizer)
def create_rules(self, rules):
rule_population = RulePopulation(Symbol('S'), universal_symbol=Symbol('U'))
for rule in rules:
rule_population.add_rule(rule, self.randomizer)
return rule_population
def _random_symbol_id(self, configuration):
return self.randomizer.randint(
RulePopulation.symbol_shift(),
RulePopulation.symbol_shift() + configuration.rule.max_non_terminal_symbols)
def create_rule_population(self):
self.starting_symbol = Symbol('S')
self.rule_population = RulePopulation(self.starting_symbol)
class TestEvolution(unittest.TestCase):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.randomizer = Randomizer(Random())
selector_configuration = [
EvolutionRandomSelectorConfiguration.create(),
EvolutionRouletteSelectorConfiguration.create()
]
self.configuration = EvolutionConfiguration.create(
selector_configuration, inversion_chance=0, mutation_chance=0, crossover_chance=0)
self.create_rule_population()
self.create_grammar_statistics()
self.create_rule_adding()
self.sut = EvolutionService(self.randomizer)
self.rules = [
Rule(Symbol('S'), Symbol('NP'), Symbol('VP')),
Rule(Symbol('VP'), Symbol('VP'), Symbol('PP')),
Rule(Symbol('VP'), Symbol('V'), Symbol('NP')),
TerminalRule(Symbol('VP'), Symbol('eats')),
Rule(Symbol('PP'), Symbol('P'), Symbol('NP')),
Rule(Symbol('NP'), Symbol('Det'), Symbol('N')),
TerminalRule(Symbol('NP'), Symbol('she')), TerminalRule(Symbol('V'), Symbol('eats')),
TerminalRule(Symbol('P'), Symbol('with')), TerminalRule(Symbol('N'), Symbol('fish')),
TerminalRule(Symbol('N'), Symbol('fork')), TerminalRule(Symbol('Det'), Symbol('a'))
]
def create_rule_population(self):
self.starting_symbol = Symbol('S')
self.rule_population = RulePopulation(self.starting_symbol)
def create_grammar_statistics(self):
configuration = ClassicalStatisticsConfiguration.default()
configuration.base_fitness = 5
configuration.classical_fitness_weight = 1
configuration.fertility_weight = 1
configuration.positive_weight = 1
configuration.negative_weight = 1
self.grammar_statistics = GrammarStatistics(
configuration, self.randomizer, ClassicRuleStatistics(),
ClassicFitness())
def create_rule_adding(self):
configuration = AddingRulesConfiguration.create(
crowding_factor=2,
crowding_size=3,
elitism_size=2,
max_non_terminal_rules=19
)
adding_strategies = [SimpleAddingRuleStrategy(),
AddingRuleWithCrowdingStrategy(),
AddingRuleWithElitismStrategy()]
self.rule_adding = AddingRuleSupervisor(self.randomizer, configuration, adding_strategies)
def simulate_induction_part_work(self, rules):
for rule in rules:
self.rule_adding.add_rule(rule, self.rule_population, self.grammar_statistics)
for rule in rules:
rule_usage_info = ClassicRuleUsageInfo(True, 1)
positive_usages = self.randomizer.randint(1, 4)
for _ in range(positive_usages):
self.grammar_statistics.on_rule_usage(rule, rule_usage_info)
rule_usage_info.positive_sentence = False
self.grammar_statistics.on_rule_usage(rule, rule_usage_info)
self.grammar_statistics.fitness.get(self.grammar_statistics, rule)
def get_symbols_from_rules(self, rules):
return {y for y in chain.from_iterable(
(x.parent, x.left_child, x.right_child) for x in rules)}
def assert_contains_rules(self, rules, rules_pool):
for rule in rules:
assert_that(rules_pool, has_item(rule))
def count_rules_that_has_changed(self, old):
changed_rules = 0
for rule in self.rule_population.get_all_non_terminal_rules():
changed_rules += 1 if rule not in old else 0
return changed_rules
def test_given_no_operator_used_rule_population_should_remain_unchanged(self):
# Given:
self.simulate_induction_part_work(self.rules)
old_population = copy.deepcopy(self.rule_population)
# When:
self.sut.run_genetic_algorithm(self.grammar_statistics, self.rule_population,
self.rule_adding, self.configuration)
# Then:
self.assert_contains_rules(self.rule_population.get_all_non_terminal_rules(),
list(old_population.get_all_non_terminal_rules()))
old_symbols = self.get_symbols_from_rules(old_population.get_all_non_terminal_rules())
new_symbols = self.get_symbols_from_rules(self.rule_population.get_all_non_terminal_rules())
assert_that(old_symbols, has_items(*new_symbols))
def promote_those_rules_to_elite(self, rules):
for rule in rules:
rule_usage_info = ClassicRuleUsageInfo(True, 1)
positive_usages = 5
for _ in range(positive_usages):
self.grammar_statistics.on_rule_usage(rule, rule_usage_info)
def test_given_high_operator_usage_rule_population_should_expect_some_major_change(self):
# Given:
self.configuration.operators.inversion.chance = 1
self.configuration.operators.mutation.chance = 1
self.configuration.operators.crossover.chance = 1
self.simulate_induction_part_work(self.rules)
self.promote_those_rules_to_elite(self.rules[0:2])
elite = list(self.rules[0:2])
old_population = copy.deepcopy(self.rule_population)
# When:
self.sut.run_genetic_algorithm(self.grammar_statistics, self.rule_population,
self.rule_adding, self.configuration)
# Then:
self.assert_contains_rules(elite, list(old_population.get_all_non_terminal_rules()))
assert_that(self.count_rules_that_has_changed(old_population.get_all_non_terminal_rules()),
is_(greater_than_or_equal_to(2)))
old_symbols = self.get_symbols_from_rules(old_population.get_all_non_terminal_rules())
new_symbols = self.get_symbols_from_rules(self.rule_population.get_all_non_terminal_rules())
assert_that(old_symbols, not_(has_items(*new_symbols)))
class TestRulePopulation(unittest.TestCase):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.sut = RulePopulation('S')
self.rules = [
Rule('A', 'B', 'C'),
Rule('D', 'B', 'C'),
Rule('A', 'J', 'C'),
Rule('A', 'B', 'J')
]
self.randomizer_mock = create_autospec(Randomizer)
def add_rules(self):
for rule in self.rules:
self.sut.add_rule(rule, self.randomizer_mock)
assert_that(self.sut.get_all_non_terminal_rules(), contains_inanyorder(*self.rules))
def test_adding_rule_should_result_in_storing_it(self):
# Given:
self.add_rules()
# When/Then:
assert_that(self.sut.get_rules_by_right(('B', 'C')),
only_contains(self.rules[0], self.rules[1]))
assert_that(self.sut.get_rules_by_right(('B', 'B')), is_(empty()))
assert_that(self.sut.get_rules_by_right(('A', 'B')), is_(empty()))
assert_that(calling(self.sut.get_rules_by_right).with_args(('A',)),
raises(RulePopulationAccessViolationError))
assert_that(calling(self.sut.get_rules_by_right).with_args(('A', 'B', 'J')),
raises(RulePopulationAccessViolationError))
def test_should_be_able_to_add_terminal_rule(self):
rule_a = TerminalRule(Symbol('A'), Symbol('a'))
rule_b = TerminalRule(Symbol('B'), Symbol('a'))
self.sut.add_rule(rule_a, self.randomizer_mock)
self.sut.add_rule(rule_b, self.randomizer_mock)
assert_that(self.sut._rules_by_right, is_(empty()))
assert_that(self.sut.get_terminal_rules(Symbol('a')), only_contains(rule_a, rule_b))
assert_that(self.sut.get_terminal_rules(Symbol('b')), is_(empty()))
assert_that(self.sut.get_terminal_rules(), only_contains(rule_a, rule_b))
def test_universal_symbol_should_work_properly(self):
# Given:
rule_a = TerminalRule(self.sut.universal_symbol, Symbol('a'))
rule_b = TerminalRule(self.sut.universal_symbol, Symbol('b'))
# When:
self.sut.add_rule(rule_a, self.randomizer_mock)
self.sut.add_rule(rule_b, self.randomizer_mock)
# Then:
assert_that(self.sut._rules_by_right, is_(empty()))
assert_that(self.sut.get_terminal_rules(Symbol('a')), only_contains(rule_a))
assert_that(self.sut.get_terminal_rules(Symbol('b')), only_contains(rule_b))
assert_that(self.sut.get_terminal_rules(), only_contains(rule_a, rule_b))
def test_should_be_able_to_obtain_random_population(self):
# Given:
self.add_rules()
self.randomizer_mock.sample.return_value = [Rule('A', 'J', 'C'), Rule('D', 'B', 'C')]
# When:
rules = self.sut.get_random_rules(self.randomizer_mock, False, 2)
# Then:
assert_that(rules, only_contains(Rule('D', 'B', 'C'), Rule('A', 'J', 'C')))
assert_that(self.randomizer_mock.sample.called)
def test_should_be_able_to_remove_a_rule(self):
# Given:
self.add_rules()
assert_that(
self.sut.get_rules_by_right((self.rules[0].left_child, self.rules[0].right_child)),
only_contains(self.rules[0], self.rules[1])
)
# When:
self.sut.remove_rule(self.rules[0])
# Then:
assert_that(
self.sut.get_rules_by_right((self.rules[0].left_child, self.rules[0].right_child)),
only_contains(self.rules[1])
)
def test_should_be_able_to_obtain_random_population_matching_filter(self):
# Given:
self.add_rules()
filter = lambda x: x.right_child == 'C'
self.randomizer_mock.sample.return_value = [Rule('A', 'J', 'C'), Rule('D', 'B', 'C')]
# When:
rules = self.sut.get_random_rules_matching_filter(self.randomizer_mock, False, 2, filter)
# Then:
assert_that(rules, only_contains(Rule('D', 'B', 'C'), Rule('A', 'J', 'C')))
assert_that(self.randomizer_mock.sample.call_count, is_(equal_to(1)))
def test_should_know_if_rule_already_exists(self):
# Given:
self.add_rules()
not_added_rule = Rule('J', 'J', 'J')
# When:
for rule in self.rules:
assert_that(self.sut.has_rule(rule))
assert_that(not_(self.sut.has_rule(not_added_rule)))
