from multiprocessing.managers import BaseManager
from spout.sources import TweetStream
from spout.queues import QueueBufferedQueue
from classifier import Classifier, TrainOperation
from filters import TweetsWithHashtagsPredicate, TweetsInEnglishPredicate, NoRetweetsPredicate
from oauth import credentials
from tokeniser import TokeniseTweetFunction

class _ClassifierManager(BaseManager):
    pass

def get_classifier():
    _ClassifierManager.register('Classifier', Classifier, exposed=['train',
                                                                   'classify',
                                                                   'get_hashtags',
                                                                   'get_hashtag_tokens',
                                                                   'get_memory_usage',
                                                                   'get_tokens',
                                                                   'get_token_hashtags',
                                                                   'get_totals',
                                                                   'get_unique_counts',
                                                                   'get_uptime',
                                                                   'state_dump',
                                                                   'state_load'])

    mymanager = _ClassifierManager()
    mymanager.start()

    return mymanager.Classifier()

def train_classifier(classifier):
    twitter = TweetStream(QueueBufferedQueue(3), *credentials('oauth.json'))
    twitter.connect()

    twitter \
        .filter(TweetsWithHashtagsPredicate()) \
        .filter(TweetsInEnglishPredicate()) \
        .filter(NoRetweetsPredicate()) \
        .map(TokeniseTweetFunction(stop_tokens=True, punctuation=False, usernames=False, urls=False)) \
        .for_each(TrainOperation(classifier))

def dump_classifier(classifier):
    classifier.state_dump('state')

bb6fe1b5c90f009a038ce347d5b48e8ee239a047
<mask token>


class _ClassifierManager(BaseManager):
    pass


<mask token>

<mask token>


class _ClassifierManager(BaseManager):
    pass


def get_classifier():
    _ClassifierManager.register('Classifier', Classifier, exposed=['train',
        'classify', 'get_hashtags', 'get_hashtag_tokens',
        'get_memory_usage', 'get_tokens', 'get_token_hashtags',
        'get_totals', 'get_unique_counts', 'get_uptime', 'state_dump',
        'state_load'])
    mymanager = _ClassifierManager()
    mymanager.start()
    return mymanager.Classifier()


<mask token>

<mask token>


class _ClassifierManager(BaseManager):
    pass


def get_classifier():
    _ClassifierManager.register('Classifier', Classifier, exposed=['train',
        'classify', 'get_hashtags', 'get_hashtag_tokens',
        'get_memory_usage', 'get_tokens', 'get_token_hashtags',
        'get_totals', 'get_unique_counts', 'get_uptime', 'state_dump',
        'state_load'])
    mymanager = _ClassifierManager()
    mymanager.start()
    return mymanager.Classifier()


def train_classifier(classifier):
    twitter = TweetStream(QueueBufferedQueue(3), *credentials('oauth.json'))
    twitter.connect()
    twitter.filter(TweetsWithHashtagsPredicate()).filter(
        TweetsInEnglishPredicate()).filter(NoRetweetsPredicate()).map(
        TokeniseTweetFunction(stop_tokens=True, punctuation=False,
        usernames=False, urls=False)).for_each(TrainOperation(classifier))


<mask token>

<mask token>


class _ClassifierManager(BaseManager):
    pass


def get_classifier():
    _ClassifierManager.register('Classifier', Classifier, exposed=['train',
        'classify', 'get_hashtags', 'get_hashtag_tokens',
        'get_memory_usage', 'get_tokens', 'get_token_hashtags',
        'get_totals', 'get_unique_counts', 'get_uptime', 'state_dump',
        'state_load'])
    mymanager = _ClassifierManager()
    mymanager.start()
    return mymanager.Classifier()


def train_classifier(classifier):
    twitter = TweetStream(QueueBufferedQueue(3), *credentials('oauth.json'))
    twitter.connect()
    twitter.filter(TweetsWithHashtagsPredicate()).filter(
        TweetsInEnglishPredicate()).filter(NoRetweetsPredicate()).map(
        TokeniseTweetFunction(stop_tokens=True, punctuation=False,
        usernames=False, urls=False)).for_each(TrainOperation(classifier))


def dump_classifier(classifier):
    classifier.state_dump('state')

from multiprocessing.managers import BaseManager
from spout.sources import TweetStream
from spout.queues import QueueBufferedQueue
from classifier import Classifier, TrainOperation
from filters import TweetsWithHashtagsPredicate, TweetsInEnglishPredicate, NoRetweetsPredicate
from oauth import credentials
from tokeniser import TokeniseTweetFunction

class _ClassifierManager(BaseManager):
    pass

def get_classifier():
    _ClassifierManager.register('Classifier', Classifier, exposed=['train',
                                                                   'classify',
                                                                   'get_hashtags',
                                                                   'get_hashtag_tokens',
                                                                   'get_memory_usage',
                                                                   'get_tokens',
                                                                   'get_token_hashtags',
                                                                   'get_totals',
                                                                   'get_unique_counts',
                                                                   'get_uptime',
                                                                   'state_dump',
                                                                   'state_load'])

    mymanager = _ClassifierManager()
    mymanager.start()

    return mymanager.Classifier()

def train_classifier(classifier):
    twitter = TweetStream(QueueBufferedQueue(3), *credentials('oauth.json'))
    twitter.connect()

    twitter \
        .filter(TweetsWithHashtagsPredicate()) \
        .filter(TweetsInEnglishPredicate()) \
        .filter(NoRetweetsPredicate()) \
        .map(TokeniseTweetFunction(stop_tokens=True, punctuation=False, usernames=False, urls=False)) \
        .for_each(TrainOperation(classifier))

def dump_classifier(classifier):
    classifier.state_dump('state')
