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How to use _get_event_classes method in Lemoncheesecake

Best Python code snippet using lemoncheesecake

loader.py

Source:loader.py

...19        train_classes, val_classes, test_classes = _get_fewrel_classes()20    elif dataset_name == 'amazon':21        train_classes, val_classes, test_classes = _get_amazon_classes()22    elif dataset_name == 'event':23        train_classes, val_classes, test_classes = _get_event_classes()24    else:25        raise ValueError(26            'args.dataset should be one of'27            '[reuters,huffpost,20newsgroup,fewrel,amazon]')28        29    tprint('Loading data')30    all_data = _load_json(dataset_path,args)31    32    # Split into meta-train, meta-val, meta-test data33    train_data, val_data, test_data = _meta_split(34            all_data, train_classes, val_classes, test_classes,args)35    tprint('#train {}, #val {}, #test {}'.format(36        len(train_data), len(val_data), len(test_data)))37    # Convert everything into np array for fast data loading38    train_data = _data_to_bert_features(train_data,args)39    val_data = _data_to_bert_features(val_data,args)40    test_data = _data_to_bert_features(test_data,args)41    train_data['is_train'] = True42    # this tag is used for distinguishing train/val/test when creating source pool43    44    return train_data, val_data, test_data45    46    47def _get_20newsgroup_classes():48    '''49        @return list of classes associated with each split50    '''51    label_dict = {52            'talk.politics.mideast': 0,53            'sci.space': 1,54            'misc.forsale': 2,55            'talk.politics.misc': 3,56            'comp.graphics': 4,57            'sci.crypt': 5,58            'comp.windows.x': 6,59            'comp.os.ms-windows.misc': 7,60            'talk.politics.guns': 8,61            'talk.religion.misc': 9,62            'rec.autos': 10,63            'sci.med': 11,64            'comp.sys.mac.hardware': 12,65            'sci.electronics': 13,66            'rec.sport.hockey': 14,67            'alt.atheism': 15,68            'rec.motorcycles': 16,69            'comp.sys.ibm.pc.hardware': 17,70            'rec.sport.baseball': 18,71            'soc.religion.christian': 19,72        }73    train_classes = []74    for key in label_dict.keys():75        if key[:key.find('.')] in ['sci', 'rec']:76            train_classes.append(label_dict[key])77    val_classes = []78    for key in label_dict.keys():79        if key[:key.find('.')] in ['comp']:80            val_classes.append(label_dict[key])81    test_classes = []82    for key in label_dict.keys():83        if key[:key.find('.')] not in ['comp', 'sci', 'rec']:84            test_classes.append(label_dict[key])85    return train_classes, val_classes, test_classes86    87    88def _get_reuters_classes():89    '''90        @return list of classes associated with each split91    '''92    train_classes = list(range(15))93    val_classes = list(range(15,20))94    test_classes = list(range(20,31))95    return train_classes, val_classes, test_classes96def _get_event_classes():97    '''98        @return list of classes associated with each split99    '''100    train_classes = list(range(20))101    val_classes = [20,21,22,23,24]102    test_classes = list(range(25,35))103    return train_classes, val_classes, test_classes104def _get_huffpost_classes():105    '''106        @return list of classes associated with each split107    '''108    train_classes = list(range(20))109    val_classes = list(range(20,25))110    test_classes = list(range(25,41))...

events.py

Source:events.py

...32class EventManager(object):33    def __init__(self):34        self._event_types = {}35    @staticmethod36    def _get_event_classes():37        """38        Get available event classes by introspecting this module to get available event classes.39        """40        current_module = sys.modules[__name__]41        for sym_name in dir(current_module):42            if sym_name.startswith("_"):43                continue44            sym = getattr(current_module, sym_name)45            if inspect.isclass(sym) and sym is not Event and issubclass(sym, Event):46                yield sym47    @classmethod48    def load(cls):49        eventmgr = cls()50        for event_class in eventmgr._get_event_classes():51            eventmgr.register_event(event_class)52        return eventmgr53    @staticmethod54    def _get_event_name(val):55        # val can be either an Event-based class or the name of the event itself (as an str)56        return val.get_name() if inspect.isclass(val) and issubclass(val, Event) else val57    def register_event(self, *event_classes):58        for event_class in event_classes:59            self._event_types[event_class.get_name()] = EventType(event_class)60    def subscribe_to_event(self, event, handler):61        self._event_types[self._get_event_name(event)].subscribe(handler)62    def subscribe_to_events(self, handlers):63        for event, handler in handlers.items():64            self.subscribe_to_event(event, handler)...

log_simulation.py

Source:log_simulation.py

...68        log_cpy = EventLog()69        for i in range(0, log_size):70            log_cpy.append(deepcopy(log[i % len(log)]))71        log = log_cpy72    classes = _get_event_classes(log)73    log_new = EventLog()74    for trace in log:75        if len(trace) > 0:76            trace_cpy = deepcopy(trace)77            # check if trace makes random selection78            if random.random() <= noisy_trace_prob:79                insert_more_noise = True80                while insert_more_noise:81                    # randomly select which kind of noise to insert82                    noise_type = random.randint(0, 2)83                    if noise_type == 0:84                        _remove_event(trace_cpy)85                    if noise_type == 1:86                        _insert_event(trace_cpy, classes)87                    if noise_type == 2:88                        _swap_events(trace_cpy)89                    # flip coin to see if more noise will be inserted90                    insert_more_noise = (random.random() <= noisy_event_prob)91            log_new.append(trace_cpy)92    #print('Noisy log size: ' + str(len(log_new)))93    return log_new94def _remove_event(trace: Trace):95    del_index = random.randint(0, len(trace) - 1)96    trace2 = Trace()97    for i in range(0, len(trace)):98        if i != del_index:99            trace2.append(trace[i])100    return trace2101def _insert_event(trace: Trace, tasks):102    ins_index = random.randint(0, len(trace))103    task = random.choice(list(tasks))104    e = Event()105    e["concept:name"] = task106    trace.insert(ins_index, e)107    return trace108def _swap_events(trace: Trace):109    if len(trace) == 1:110        return trace111    indices = list(range(len(trace)))112    index1 = random.choice(indices)113    indices.remove(index1)114    index2 = random.choice(indices)115    trace2 = Trace()116    for i in range(len(trace)):117        if i == index1:118            trace2.append(trace[index2])119        elif i == index2:120            trace2.append(trace[index1])121        else:122            trace2.append(trace[i])123    return trace2124def _get_event_classes(log):125    classes = set()126    for trace in log:127        for event in trace:128            classes.add(event["concept:name"])...

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