def coherenceScore(self, w): total = 0 neighbors = self.graph[w] word = util.getToken(w) for nbr in neighbors: total += word.similarity(util.getToken(nbr)) return total
def relevanceScore(self, w): '''Returns score = SUM(kw_importance * similarity)''' word = util.getToken(w) total = 0 for kw in self.questionKeywords: keyword = util.getToken(kw) total += self.importance[kw] * keyword.similarity(word) return total
def __init__(self, *args, **kwargs):
self.client = pbclient.Client(util.getToken())
self.lastSelected = None
self.viewMode = 'SELF'
self.initViewMode()
self.pushes = []
BaseWindow.__init__(self, *args, **kwargs)
def __init__(self,*args,**kwargs): self.client = PushbulletTargets.Client(util.getToken()) self.lastSelected = None self.viewMode = 'SELF' self.initViewMode() self.pushes = [] BaseWindow.__init__(self,*args,**kwargs)
def __init__(self, *args, **kwargs):
self.client = pbclient.Client(util.getToken())
self.lastSelected = None
self.viewMode = "SELF"
self.initViewMode()
self.pushes = []
BaseWindow.__init__(self, *args, **kwargs)
def __init__(self, *args, **kwargs):
self.data = kwargs.get('data', '')
self.client = pbclient.Client(util.getToken())
BaseWindow.__init__(self, *args, **kwargs)
def __init__(self,*args,**kwargs):
self.data = kwargs.get('data','')
self.client = PushbulletTargets.Client(util.getToken())
BaseWindow.__init__(self,*args,**kwargs)
def __init__(self, *args, **kwargs):
self.data = kwargs.get("data", "")
self.client = pbclient.Client(util.getToken())
BaseWindow.__init__(self, *args, **kwargs)
