def find_lenbyaccuone(self, datas, lengths):
t_lener = words_base()
t_dataone, t_datatwo = t_lener.get_lengthinfo(datas)
acc_big = 0
data_nums = {}
data_smalls = {}
for i in range(len(t_dataone)):
diff = abs(t_dataone[i] - lengths[i])
if diff not in data_nums:
data_nums[diff] = 1
else:
data_nums[diff] = data_nums[diff] + 1
acc_small = 0
for i in range(len(t_datatwo)):
diff = abs(t_datatwo[i] - lengths[i])
if diff not in data_smalls:
data_smalls[diff] = 1
else:
data_smalls[diff] = data_smalls[diff] + 1
for key in data_nums:
if acc_small < data_nums[key]:
acc_small = data_nums[key]
for key in data_smalls:
if acc_big < data_smalls[key]:
acc_big = data_smalls[key]
if ((acc_small / len(t_dataone)) > self.lengthThreshold
or (acc_big / len(t_dataone)) > self.lengthThreshold):
return 1
else:
return 0
def findserienum(self, datas, t_series):
t_lener = words_base()
t_dataone, t_datatwo = t_lener.get_seidinfo(datas)
j_one = base_analyzer.pearson(t_dataone, t_series)
j_two = base_analyzer.pearson(t_datatwo, t_series)
j_final = max(j_one, j_two)
return j_final
def find_len(self, datas, lens):
t_lener = words_base()
t_dataone, t_datatwo = t_lener.get_lengthinfo(datas)
p_one = self.pearson(t_dataone, lens)
p_two = self.pearson(t_datatwo, lens)
if (p_one > self.lengthThreshold or p_two > self.lengthThreshold):
return 1
else:
return 0
def find_lenbyaccu(self, datas, lengths):
t_lener = words_base()
t_messages = []
t_dataone, t_datatwo = t_lener.get_lengthinfo(datas)
acc_big = 0
for i in range(len(t_dataone)):
if (abs((t_dataone[i] - lengths[i])) <= 1):
acc_big = acc_big + 1
acc_small = 0
for i in range(len(t_datatwo)):
if (abs((t_datatwo[i] - lengths[i])) <= 1):
acc_small = acc_small + 1
if ((acc_small / len(t_dataone)) > self.lengthThreshold
or (acc_big / len(t_dataone)) > self.lengthThreshold):
return 1
else:
return 0