def inferLen(self, datas, lens):
datasLenBig = Converter.bytesToBigInt(datas)
datasLittle = Converter.byteToLittle(datas)
personBig = base_analyzer.pearson(datasLenBig, lens)
personLittle = base_analyzer.pearson(datasLittle, lens)
if personBig > self.lengthThreshold or personLittle > self.lengthThreshold:
return 1
else:
return 0
def inferSeriesId(self, datas):
ids = []
for i, data in enumerate(datas):
ids.append(i)
datasBigInt = Converter.bytesToBigInt(datas)
datasLittle = Converter.byteToLittle(datas)
tRate = max(base_analyzer.pearson(ids, datasBigInt),
base_analyzer.pearson(ids, datasLittle))
if (tRate > self.idThreshold):
return 1
else:
return 0