def __init__(self, messages=None):
self.messages = messages
self.wordTypeInfer = WholeFieldTypeInfer(self.messages)
self.cvter = Converter()
self.wcvter = word_convert()
self.msgSplt = MsgSpliter()
self.dataTuning = DataTuning()
self.icsSymTree = IcsSymbolToTree()
def reAjustBorders(self, words, messages):
vSpliter = vertical_splitter(messages)
words = vSpliter.splitWordsSimple(words)
Nodes = []
typeInfer = WholeFieldTypeInfer(messages)
mgerItoms = base_merger()
for word in words:
if typeInfer.inferConst(word):
tNode = node(loc=word, wType=1)
else:
tNode = node(loc=word, wType=6)
Nodes.append(tNode)
return mgerItoms.merge_words(Nodes)
def getCFormat(self, configParas, gVeparas, msgs):
if len(msgs) < 10:
return [((0, -1), 7)]
gVoterLogic = GvoterLogic()
boundaries = gVoterLogic.getSplitMessages(configParas,
gVeparas,
msgs,
FType='C')
boundaries = self.cvter.border2item(boundaries)
#print('ss')
#print(len(msgs))
#print(msgs[0])
#print(boundaries)
#print('ee')
fRange = self.getRanges(msgs)
boundaries = self.cvter.filterB(boundaries, fRange)
LoRdj = ReAjustLogic(boundaries, msgs)
LoRdj.reSplit()
LoRdj.reCluster()
boundaries = LoRdj.words
cWordTypeInfer = WholeFieldTypeInfer(msgs)
wordsType = cWordTypeInfer.extractCWords(boundaries)
wordsType = self.sortWordsType(wordsType)
return wordsType
def __init__(self, messages):
self.messages = messages
self.wholeFieldInfer= WholeFieldTypeInfer(self.messages)
def __init__(self, messages, locs):
self.messages = messages
self.locs = locs
self.gFieldInfer = WholeFieldTypeInfer()
def __init__(self, messages):
super().__init__()
self.wholeType = WholeFieldTypeInfer(messages)
def __init__(self):
self.wTInfer = WholeFieldTypeInfer()
def __init__(self, words, msgs):
self.words = words
self.msgs = msgs
self.wholeTypeInfer = WholeFieldTypeInfer(self.msgs)