def setUp(self): for nlp in (nlp for nlp in get_nlps('en') if nlp.meta['name'] == 'core_web_sm'): self.sm_nlp = nlp self.sm_rules_analyzer = RulesAnalyzerFactory().get_rules_analyzer( nlp)
def setUp(self): warnings.filterwarnings("ignore", message=r"\[W007\]", category=UserWarning) nlps = get_nlps('en') for nlp in (nlp for nlp in nlps if nlp.meta['name'] == 'core_web_sm'): self.sm_nlp = nlp self.sm_rules_analyzer = RulesAnalyzerFactory().get_rules_analyzer( self.sm_nlp) sm_model_generator = ModelGenerator(self.sm_rules_analyzer, self.sm_nlp, self.sm_nlp) sm_doc = self.sm_nlp('Richard said he was entering the big house') self.sm_feature_table = sm_model_generator.generate_feature_table( [sm_doc]) self.sm_tendencies_analyzer = TendenciesAnalyzer( self.sm_rules_analyzer, self.sm_nlp, self.sm_feature_table) for nlp in (nlp for nlp in nlps if nlp.meta['name'] == 'core_web_lg'): self.lg_nlp = nlp self.lg_rules_analyzer = RulesAnalyzerFactory().get_rules_analyzer( self.lg_nlp) lg_model_generator = ModelGenerator(self.lg_rules_analyzer, self.lg_nlp, self.lg_nlp) lg_doc = self.lg_nlp('Richard said he was entering the big house') self.lg_feature_table = lg_model_generator.generate_feature_table( [lg_doc]) self.lg_tendencies_analyzer = TendenciesAnalyzer( self.lg_rules_analyzer, self.lg_nlp, self.lg_feature_table)
def setUp(self): self.nlps = get_nlps('en') self.rules_analyzers = [RulesAnalyzerFactory().get_rules_analyzer(nlp) for nlp in self.nlps] self.sm_nlp = [nlp for nlp in self.nlps if nlp.meta['name'] == 'core_web_sm'][0] self.sm_rules_analyzer = RulesAnalyzerFactory().get_rules_analyzer(self.sm_nlp)
def setUp(self): self.nlps = get_nlps('en') self.rules_analyzers = [ RulesAnalyzerFactory.get_rules_analyzer(nlp) for nlp in self.nlps ]
def setUp(self): self.nlps = get_nlps('en')
def setUp(self): self.nlps = get_nlps('de')
def setUp(self): self.nlps = get_nlps('pl')
def setUp(self): nlps = get_nlps('en') for nlp in (nlp for nlp in nlps if nlp.meta['name'] == 'core_web_sm'): self.sm_nlp = nlp