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How to use add_attributes method in localstack

Best Python code snippet using localstack_python

test_entity.py

Source:test_entity.py

...9            Entity(" PARTICIPANT: numero, nom, adresse "),10            Entity("PARTICIPANT :numero ,nom ,adresse"),11        ]12        for e in entities:13            e.add_attributes([])14            self.assertEqual(e.name, "PARTICIPANT")15            self.assertEqual(e.name_view, "PARTICIPANT")16            self.assertEqual([a.label for a in e.attributes], ["numero", "nom", "adresse"])17            self.assertEqual([a.get_category() for a in e.attributes], ["strong", "simple", "simple"])18    def test_data_types(self):19        e = Entity("PARTICIPANT: numero [type1], nom [type2] , adresse[type3]")20        e.add_attributes([])21        self.assertEqual([a.label for a in e.attributes], ["numero", "nom", "adresse"])22        self.assertEqual([a.data_type for a in e.attributes], ["type1", "type2", "type3"])23        e = Entity("PARTICIPANT: numero [type a,b,c], nom [type2], adresse [type3]")24        e.add_attributes([])25        self.assertEqual([a.data_type for a in e.attributes], ["type a,b,c", "type2", "type3"])26        e = Entity("PARTICIPANT: numero [], nom, adresse [type3]")27        e.add_attributes([])28        self.assertEqual([a.data_type for a in e.attributes], ["", None, "type3"])29        e = Entity("PARTICIPANT: numero [, nom, adresse")30        e.add_attributes([])31        self.assertEqual([a.data_type for a in e.attributes], [None, None, None])32    def test_numbered_entity(self):33        e = Entity("PARTICIPANT5: numero, nom, adresse")34        e.add_attributes([])35        self.assertEqual(e.name, "PARTICIPANT5")36        self.assertEqual(e.name_view, "PARTICIPANT")37    def test_blank(self):38        e = Entity("MOT-CLEF: mot-clÃ©, ,")39        e.add_attributes([])40        self.assertEqual([a.label for a in e.attributes], ["mot-clÃ©", "", ""])41        self.assertEqual([a.get_category() for a in e.attributes], ["strong", "phantom", "phantom"])42    def test_all_blank(self):43        e = Entity("BLANK: , ,")44        e.add_attributes([])45        self.assertEqual([a.label for a in e.attributes], ["", "", ""])46        self.assertEqual([a.get_category() for a in e.attributes], ["phantom", "phantom", "phantom"])47    def test_no_identifier_at_first_position(self):48        e = Entity("POSITION: _abscisse, ordonnee")49        e.add_attributes([])50        self.assertEqual([a.label for a in e.attributes], ["abscisse", "ordonnee"])51        self.assertEqual([a.get_category() for a in e.attributes], ["simple", "simple"])52    def test_no_identifier_for_children(self):53        e = Entity("POSITION: abscisse, _ordonnee")54        e.add_attributes([], is_child=True)55        self.assertEqual([a.label for a in e.attributes], ["abscisse", "ordonnee"])56        self.assertEqual([a.get_category() for a in e.attributes], ["simple", "simple"])57    def test_multiple_strong_identifier(self):58        e = Entity("POSITION: abscisse, _ordonnee")59        e.add_attributes([])60        self.assertEqual([a.label for a in e.attributes], ["abscisse", "ordonnee"])61        self.assertEqual([a.get_category() for a in e.attributes], ["strong", "strong"])62    def test_weak_identifier(self):63        e = Entity("LIVRE: Num. exemplaire, Etat du livre, Date d'achat")64        e.add_attributes(["placeholder"])65        self.assertEqual([a.label for a in e.attributes], ["Num. exemplaire", "Etat du livre", "Date d'achat"])66        self.assertEqual([a.get_category() for a in e.attributes], ["weak", "simple", "simple"])67    def test_weak_composite_identifier(self):68        e = Entity("POSITION: abscisse, _ordonnee, foobar")69        e.add_attributes(["placeholder"])70        self.assertEqual([a.label for a in e.attributes], ["abscisse", "ordonnee", "foobar"])71        self.assertEqual([a.get_category() for a in e.attributes], ["weak", "weak", "simple"])72    def test_backslash_suppression(self):73        e = Entity("PARTICIPANT\: numero\, \tnom\t, ad\\resse")74        e.add_attributes([])75        self.assertEqual(e.name, "PARTICIPANT")76        self.assertEqual(e.name_view, "PARTICIPANT")77        self.assertEqual([a.label for a in e.attributes], ["numero", "nom", "adresse"])78if __name__ == '__main__':...

displayer.py

Source:displayer.py

...5import numpy as np6class NSGANetDisplay(Display):7    def _do(self, ga):8        self.display_top = -19        self.add_attributes('n_gens', ga.n_gens) 10        self.add_attributes('n_evals', ga.n_evals) 11        self.add_attributes('error_rate', ga.F_pop[ga.elite_idx])12        self.add_attributes('flops', ga.F_pop[ga.elite_idx])13        now = time.time()14        self.add_attributes('time', now - ga.start_time)15        self.add_attributes('architecture', ga.pop[ga.elite_idx])16class SODisplay(Display):17    def _do(self, algorithm):18        self.display_top = 1019        self.add_attributes('mean', algorithm.fitness_pop.mean())20        self.add_attributes('std', algorithm.fitness_pop.std())21        self.add_attributes('n_gens', algorithm.n_gens)22        self.add_attributes('n_evals', algorithm.n_evals)23        self.add_attributes('elite', algorithm.pop[algorithm.elite_idx])24def print_info(self):25    n_params = (np.sum(np.prod(v.size()) for v in filter(lambda p: p.requires_grad, self.model.parameters())) / 1e6)26    self.model = add_flops_counting_methods(self.model)27    self.model.eval()28    self.model.start_flops_count()29    random_data = torch.randn(1, *self.data_info['input_size'])30    self.model(torch.autograd.Variable(random_data).to(self.device))31    n_flops = np.round(self.model.compute_average_flops_cost() / 1e6, 4)...

logger.py

Source:logger.py

1import time2from model.log_saver import LogSaver3class NSGANetLogSaver(LogSaver):4    def _do(self, ga):5        self.add_attributes('architecture', ga.pop[ga.elite_idx])6        self.add_attributes('error_rate', ga.F_pop[ga.elite_idx])7        self.add_attributes('flops', ga.F_pop[ga.elite_idx])8        self.add_attributes('n_gens', ga.n_gens) 9        self.add_attributes('n_evals', ga.n_evals) 10        11        now = time.time()12        self.add_attributes('time', now - ga.start_time)13class SOLogSaver(LogSaver):14    def _do(self, algorithm):15        self.add_attributes('mean', algorithm.fitness_pop.mean())16        self.add_attributes('std', algorithm.fitness_pop.std())17        self.add_attributes('n_gens', algorithm.n_gens)18        self.add_attributes('n_evals', algorithm.n_evals)...

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