How to use _check_labels method in autotest

Best Python code snippet using autotest_python Github


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...52 self._message['title'],53 )54 # Se la segnalazione consiste in una issue55 elif kind == 'issue' or 'issue-note':56 self._check_labels(self._message['labels'])57 return self._mongofacade.get_match_labels(58 users,59 self._message['project_id'],60 self._message['labels'],61 )62 else:63 raise NameError('Type doesn\'t exist')64 def _check_labels(self, labels: list):65 """Guarda se le label della segnalazione66 legate al progetto indicati esistono.67 Funzione ausiliaria per `_filter_user_by_project`.68 Lavora come RedmineProcessor._check_label69 :param labels: lista delle label della segnalazione70 """71 project = self._message['project_id']72 label_project = self._mongofacade.get_label_project(project)73 for label in labels:74 if label not in label_project:75 self._mongofacade.insert_label_by_project(project, label)76class RedmineProcessor(Processor):77 """78 Classe processore di Redmine79 """80 def _filter_users_by_topic(self, users: list, kind: str) -> list:81 """82 Cerca gli utenti disponibili nella data della notifica iscritti ai83 topic della segnalazione84 :param users: lista di utenti appartenenti al progetto della85 segnalazione e disponibili nel giorno della segnalazione86 :param kind: tipologia della segnalazione per redmine87 :return: lista di utenti iscritti a quel topic88 """89 # L'unico tipo di segnalazioni possono essere 'issue'90 if kind != 'issue':91 raise NameError('Type not exists')92 self._check_labels(self._message['labels'])93 return self._mongofacade.get_match_labels(94 users,95 self._message['project_id'],96 self._message['labels'],97 )98 def _check_labels(self, labels: list):99 """100 Guarda se le label della segnalazione legate al progetto indicati101 esistono102 :param labels: lista delle label della segnalazione103 """104 project = self._message['project_id']105 label_project = self._mongofacade.get_label_project(project)106 for label in labels:107 if label not in label_project:...

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...40 integer-valued labels), a :class:`.DPTransformer` can be used (e.g. :class:`.IntToString`).41 """42 def __init__(self, *, epsilon, value0, value1):43 super().__init__(epsilon=epsilon, delta=0.0)44 self.value0, self.value1 = self._check_labels(value0, value1)45 @classmethod46 def _check_labels(cls, value0, value1):47 if not isinstance(value0, str) or not isinstance(value1, str):48 raise TypeError("Binary labels must be strings. Use a DPTransformer (e.g. transformers.IntToString) for "49 "non-string labels")50 if len(value0) * len(value1) == 0:51 raise ValueError("Binary labels must be non-empty strings")52 if value0 == value1:53 raise ValueError("Binary labels must not match")54 return value0, value155 def _check_all(self, value):56 super()._check_all(value)57 self._check_labels(self.value0, self.value1)58 if not isinstance(value, str):59 raise TypeError("Value to be randomised must be a string")60 if value not in [self.value0, self.value1]:61 raise ValueError("Value to be randomised is not in the domain {\"%s\", \"%s\"}, got \"%s\"" %62 (self.value0, self.value1, value))63 return True64 @copy_docstring(DPMechanism.bias)65 def bias(self, value):66 raise NotImplementedError67 @copy_docstring(DPMechanism.variance)68 def variance(self, value):69 raise NotImplementedError70 def randomise(self, value):71 """Randomise `value` with the mechanism....

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