Question

我遇到了一个小错误，但是我无法找到它。我的目的是比较包含这些单词的文本文件。

secondly
pardon
woods
secondly

我编写了脚本以这种方式比较这两个值：

secondly, pardon
secondly, woods
secondly, secondly
pardon, woods
pardon, secondly
woods, secondly

我的代码执行以下操作：

1）如果单词相同则得分为1，否则它是由gensim向量模型计算的得分 2）有一个计数器，当第一个for循环移动到下一个字时，计数器将复位。例如，其次，赦免＆gt;其次，伍兹＆gt;第二，其次（此时计数为3）

代码

from __future__ import division
import gensim


textfile = 'businessCleanTxtUniqueWords'
model = gensim.models.Word2Vec.load("businessSG")
count = 0  # keep track of counter
score = 0
avgScore = 0
SentenceScore = 0
externalCount = 0
totalAverageScore = 0

with open(textfile, 'r+') as f1:

    words_list = f1.readlines()

    for each_word in words_list:
        word = each_word.strip()

        for each_word2 in words_list[words_list.index(each_word) + 1:]:
            count = count + 1

            try:
                word2 = each_word2.strip()
                print(word, word2)
                # if words are the same
                if (word == word2):
                    score = 1
                else:
                    score = model.similarity(word,word2) # when words are not the same
            # if word is not in vector model
            except KeyError:
                score = 0
            # to keep track of the score
            SentenceScore=SentenceScore + score

            print("the score is: " + str(score))
            print("the count is: " + str(count))
        # average score
        avgScore = round(SentenceScore / count,5)

        print("the avg score: " + str(SentenceScore) + '/' + str(count) + '=' + str(avgScore))
        # reset counter and sentence score
        count = 0
        SentenceScore = 0

错误消息：

Traceback (most recent call last):
  File "C:/Users/User/Desktop/Complete2/Complete/TrainedTedModel/LatestJR.py", line 41, in <module>
    avgScore = round(SentenceScore / count,5)
ZeroDivisionError: division by zero
('secondly', 'pardon')
the score is: 0.180233083443
the count is: 1
('secondly', 'woods')
the score is: 0.181432347816
the count is: 2
('secondly', 'secondly')
the score is: 1
the count is: 3
the avg score: 1.36166543126/3=0.45389
('pardon', 'woods')
the score is: 0.405021005657
the count is: 1
('pardon', 'secondly')
the score is: 0.180233083443
the count is: 2
the avg score: 0.5852540891/2=0.29263
('woods', 'secondly')
the score is: 0.181432347816
the count is: 1
the avg score: 0.181432347816/1=0.18143

我已经包含了＃34; from __future__ import division＆＃34;对于分裂，但它似乎没有解决它

我的文件可在以下链接中找到：

Gensim模特：

https://entuedu-my.sharepoint.com/personal/jseng001_e_ntu_edu_sg/_layouts/15/guestaccess.aspx?guestaccesstoken=BlORQpsmI6RMIja55I%2bKO9oF456w5tBLR43XZdVCQIA%3d&docid=00459c024d33d48638508dd331cf73144&rev=1&expiration=2016-11-25T23%3a56%3a48.000Z

TEXTFILE：

https://entuedu-my.sharepoint.com/personal/jseng001_e_ntu_edu_sg/_layouts/15/guestaccess.aspx?guestaccesstoken=7%2b8Nkm9BySPFR0zqD%2fdgUcYOaXREG3%2fycALnMFcv59A%3d&docid=08158c442c3f74970bc8090f253b499f8&rev=1&expiration=2016-11-25T23%3a56%3a01.000Z

谢谢。

Answer 1

这是因为第一个for循环已到达最后一个字，第二个for循环将不会执行，因此count等于零（在上一次迭代中重置为零））。只需更改第一个for循环即可忽略最后一个单词（因为没有必要）：

for each_word in words_list[:-1]:

Answer 2

出错的行直接在错误消息中说明：

Traceback (most recent call last):
  File "C:/Users/User/Desktop/Complete2/Complete/TrainedTedModel/LatestJR.py", line 41, in <module>
    avgScore = round(SentenceScore / count,5)
ZeroDivisionError: division by zero

所以我假设SentenceScore / count是有问题的分区，所以很明显count为0，我建议你在该行之前添加如下内容：

print("SentenceScore is",SentenceScore, "and count is",count)

所以你可以自己看看这个，现在是内循环：

for words_list中的each_word2 [words_list.index（each_word）+ 1：]： count = count + 1

是唯一添加到count和count的东西，在外循环的每次迭代结束时重置为零，这意味着内部循环在某个时刻根本不运行，这意味着{{1}是一个空序列。如果words_list[words_list.index(each_word) + 1:]是each_word中的最后一个单词，则会发生这种情况。

ZeroDivisionError，但我找不到错误

2 个答案: