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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-clé, ,")39 e.add_attributes([])40 self.assertEqual([a.label for a in e.attributes], ["mot-clé", "", ""])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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