def __init__(self, population_editor):
super().__init__(population_editor.widget)
self.population_editor = population_editor
self.translator = None
self.population_executor = PopulationExecutor()
self.simulation_executor = SimulationExecutor()
self.operation = None
self.randomizer = Randomizer(Random())
class LoadPopulationWorker(QtCore.QThread):
TRANSLATOR_READY_SIGNAL = 'TRANSLATOR_READY_SIGNAL'
POPULATION_LOADED_SIGNAL = 'POPULATION_LOADED_SIGNAL'
STARTING_SYMBOL = Symbol(1)
def __init__(self, population_editor):
super().__init__(population_editor.widget)
self.population_editor = population_editor
self.translator = None
self.population_executor = PopulationExecutor()
self.simulation_executor = SimulationExecutor()
self.operation = None
self.randomizer = Randomizer(Random())
def run(self):
self.emit(QtCore.SIGNAL(AsyncProgressDialog.CHANGE_STEP_EVENT), 'Operation in progress...')
self.emit(QtCore.SIGNAL(AsyncProgressDialog.SET_PROGRESS_EVENT), -1)
if self.operation is not None:
# noinspection PyCallingNonCallable
self.operation()
self.emit(QtCore.SIGNAL(AsyncProgressDialog.RESET_EVENT))
def load_learning_set_operation(self):
try:
self.translator = self.population_executor.get_learned_translator(
self.population_editor.population_path)
except:
dialog = QtGui.QMessageBox()
dialog.critical(
self.population_editor.widget, 'Invalid file',
'File "{0}" has invalid format!'.format(self.population_editor.population_path))
finally:
self.emit(QtCore.SIGNAL(self.TRANSLATOR_READY_SIGNAL))
def load_population_operation(self):
name = os.path.basename(self.population_editor.population_path).split('.')[0]
dir_path = os.path.dirname(self.population_editor.population_path)
rule_population = self.simulation_executor.load_population(
dir_path, name, starting_symbol=self.STARTING_SYMBOL)
self.population_editor.rules.clear()
for rule in rule_population.get_terminal_rules():
translated = rule.human_friendly_representation(rule_population.symbol_shift(),
rule_population.starting_symbol,
rule_population.universal_symbol)
rule_model = TerminalRuleModel()
rule_model.parent = translated[0]
rule_model.left_child = self.translator.symbol_to_word(rule.left_child)
self.population_editor.rules.append(rule_model)
for rule in rule_population.get_all_non_terminal_rules():
translated = rule.human_friendly_representation(rule_population.symbol_shift(),
rule_population.starting_symbol,
rule_population.universal_symbol)
rule_model = NonTerminalRuleModel()
rule_model.parent, rule_model.left_child, rule_model.right_child = translated
self.population_editor.rules.append(rule_model)
self.emit(QtCore.SIGNAL(self.POPULATION_LOADED_SIGNAL))
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)
