Beispiel #1
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    def __init__(self):
        Controller.__init__(self)

        texts = ''
        for path in constants.PROCESSED_SPEECHES_PATHS:
            with open(path, 'r') as corpus:
                texts += re.sub(pattern='\n+', repl='\n\n', string=corpus.read().lower()).strip() + '\n\n'
        self.mcc_speech_generator = MccSpeechGenerator().preprocess(texts)
Beispiel #2
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def run():
    texture = FuzzyDescription()
    capacity = FuzzyDescription()
    cycle_type = FuzzyDescription()

    rules = []

    texture.add_region('very soft', trap_region(-10, 0.0, 0.4, 0.8))
    texture.add_region('soft', tri_region(0.4, 0.8, 1.2))
    texture.add_region('normal', tri_region(0.5, 1.0, 1.5))
    texture.add_region('resistant', trap_region(0.9, 1.1, 1.2, 10))

    capacity.add_region('small', trap_region(-1500, 0, 1, 2))
    capacity.add_region('medium', tri_region(1, 4.5, 8))
    capacity.add_region('high', trap_region(5, 6, 7, 1500))

    cycle_type.add_region('delicate', trap_region(-150, 0, 0.4, 0.8), inverse_line(0.8, 0.4))
    cycle_type.add_region('easy', tri_region(0.5, 0.7, 1.0), inverse_tri(0.5, 0.7, 1.0))
    cycle_type.add_region('normal', tri_region(0.6, 0.7, 1.1), inverse_tri(0.6, 0.7, 1.1))
    cycle_type.add_region('intense', trap_region(1.2, 1.4, 1.5, 1500), inverse_line(1.2, 1.4))

    rules.append(FuzzyRule({'texture': 'very soft', 'capacity': 'small'},
                           {'cycle_type': 'delicate'}))
    rules.append(FuzzyRule({'texture': 'soft', 'capacity': 'small'},
                           {'cycle_type': 'easy'}))
    rules.append(FuzzyRule({'texture': 'normal', 'capacity': 'small'},
                           {'cycle_type': 'easy'}))
    rules.append(FuzzyRule({'texture': 'resistant', 'capacity': 'small'},
                           {'cycle_type': 'easy'}))

    rules.append(FuzzyRule({'texture': 'very soft', 'capacity': 'medium'},
                           {'cycle_type': 'easy'}))
    rules.append(FuzzyRule({'texture': 'soft', 'capacity': 'medium'},
                           {'cycle_type': 'normal'}))
    rules.append(FuzzyRule({'texture': 'normal', 'capacity': 'medium'},
                           {'cycle_type': 'normal'}))
    rules.append(FuzzyRule({'texture': 'resistant', 'capacity': 'medium'},
                           {'cycle_type': 'normal'}))

    rules.append(FuzzyRule({'texture': 'very soft', 'capacity': 'high'},
                           {'cycle_type': 'normal'}))
    rules.append(FuzzyRule({'texture': 'soft', 'capacity': 'high'},
                           {'cycle_type': 'normal'}))
    rules.append(FuzzyRule({'texture': 'normal', 'capacity': 'high'},
                           {'cycle_type': 'intense'}))
    rules.append(FuzzyRule({'texture': 'resistant', 'capacity': 'high'},
                           {'cycle_type': 'intense'}))

    controller = Controller(texture, capacity, cycle_type, rules)

    print(controller.compute({'capacity': 7, 'texture': 0.5}))
    print(controller.compute({'capacity': 3, 'texture': 0.8}))
    print(controller.compute({'capacity': 1, 'texture': 0.4}))
    print(controller.compute({'capacity': 7, 'texture': 0.3}))
Beispiel #3
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class Application:
    """ 起動アプリケーションクラス """
    def __init__(self):
        #コマンド引数
        self.argument = Argument()
        #コントローラ
        self.ctrl = Controller()

    def run(self):
        target = self.argument.getTarget()

        #引数により実行メソッドを切り替え
        if target == "tokoyami":
            self.ctrl.tokoyami()
        else:
            pass
Beispiel #4
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    def __init__(self):
        Controller.__init__(self)

        self._qr = QueryResponder()
        with open(constants.PROCESSED_QNA_PATH) as f:
            qna_list = pickle.load(f)
        with open(constants.PROCESSED_QUOTES_PATH) as f:
            text = f.read().lower().decode('utf-8').strip()
        with open(constants.PROCESSED_FB_POSTS_PATH) as f:
            text = text + '\n\n' + f.read().lower().decode('utf-8').strip()
        for path in constants.PROCESSED_SPEECHES_PATHS:
            with open(path, 'r') as corpus:
                text += re.sub(
                    pattern='\n+', repl='\n\n', string=corpus.read().lower(
                    )).decode('utf-8').strip() + '\n\n'
        tokenizer = nltk.data.load('tokenizers/punkt/english.pickle')
        sentences = tokenizer.tokenize(text)
        if not os.path.exists(constants.CHAT_INFERSENT_MODEL_PATH):
            self._engine = self._qr.preprocess(qna_list, sentences)
Beispiel #5
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    def __init__(self):
        Controller.__init__(self)
        self._api = tweeter_utils.TweeterUtils()
        os.chdir(DEEP_BB_PREFIX_PATH)

        with open(constants.PROCESSED_TWEETS_PATH, 'r') as corpus:
            tweets_text = re.sub(pattern='\n+',
                                 repl='\n',
                                 string=corpus.read().lower())

        with open(constants.PROCESSED_QUOTES_PATH, 'r') as corpus:
            quotes_text = re.sub(pattern='\n+',
                                 repl='\n',
                                 string=corpus.read().lower())

        with open(constants.PROCESSED_FB_POSTS_PATH, 'r') as corpus:
            fb_text = re.sub(pattern='.',
                             repl='.\n',
                             string=re.sub(pattern='\n+',
                                           repl='\n',
                                           string=corpus.read().lower()))
            self.mcc_tweets_generator = MccTweetGenerator().preprocess(
                [tweets_text, fb_text, quotes_text], weights=[0.4, 2, 1])
from flask import Blueprint, render_template, jsonify, request
from controllers.Controller import Controller

from models.Coordinates import CoordinatesModel
from models.Stores import StoreModel

blueprint = Blueprint('stores_blueprint',
                      __name__,
                      template_folder='../templates')

# Create all our models to pass to their controllers.
store_model = StoreModel()
coordinates_model = CoordinatesModel()

# Create all the controllers we need. Pass them the requires models.
controller = Controller(store_model=store_model,
                        coordinate_model=coordinates_model)


# this endpoint returns json rendered as html
@blueprint.route('/')
def render_stores_page():
    page_data = get_data()
    return render_template('stores.html', store_list=page_data)


# this endpoint returns raw json of all the postcodes
@blueprint.route('/data')
def render_data():
    return jsonify(get_data())

Beispiel #7
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 def __init__(self, server):
     Controller.__init__(self, server)
Beispiel #8
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 def __init__(self, game_map, pos):
     Unit.__init__(self, game_map, Controller(), Constants.core_hp, pos,
                   Constants.core_width, Constants.core_height, "player",
                   "core", UnitTypes.core)
 def setUp(self):
     self.gui = Gui()
     self.bookdao = BookDAO('test.db')
     self.controller = Controller(self.bookdao, self.gui)
     self.book = Book("alpha", "beta", "22-2-2022", "32432")
Beispiel #10
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import multiprocessing
from views.Gui import Gui
from models.BookDAO import BookDAO
from models.Book import Book
from controllers.Controller import Controller
if __name__ == "__main__":
    gui = Gui()
    bookDAO = BookDAO('main.db')
    #bookDAO.add_book(Book('title1', 'author1', 'year1', '1'))
    #bookDAO.add_book(Book('title2', 'author2', 'year2', '2'))
    #bookDAO.add_book(Book('title3', 'author3', 'year3', '3'))
    controller = Controller(bookDAO, gui)
    gui.add_gui_listener(controller)
    controller.start()
    #row = ("kostas", "kostas_ait", "17/05/1973", "12312")
    #db.insert_row(*row)
   # db.view_all()
    #process1 = multiprocessing.Process(target=Gui)
    #  process2 = multiprocessing.Process(target = Gui)
    #process1.start()
    # process2.start()
    #process1.join()
    # process2.join()
Beispiel #11
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 def __init__(self, game_map, pos):
     Building.__init__(self, game_map, Controller(), 10, pos, 30, 30, "wall", UnitTypes.wall, 1)
Beispiel #12
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 def __init__(self):
     #コマンド引数
     self.argument = Argument()
     #コントローラ
     self.ctrl = Controller()