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
