Question

所以我有一个程序可以查看.txt文件中的句子。然后程序找到句子中每个单词的位置以及句子中的唯一单词。这两个列表在程序中输出，然后程序尝试根据句子中的唯一单词和句子中单词的位置重新创建.txt文件中的原始句子，然后应该在程序中输出。我到目前为止的代码如下所示：

import json
import os.path

def InputFile():
    global compfilename
    compfilename = input("Please enter an existing compressed file to be decompressed: ")

def Validation2():
    if compfilename == (""):
        print ("Nothing was entered for the filename. Please re-enter a valid filename.")
        Error()
    if os.path.exists(compfilename + ".txt") == False:
        print ("No such file exists. Please enter a valid existing file.")
        Error()

def OutputDecompressed():
    global words
    global orgsentence
    newfile = open((compfilename)+'.txt', 'r')
    saveddata = json.load(newfile)
    orgsentence = saveddata
    words = orgsentence.split(' ')
    print ("Words in the sentence: " + str(words))

def Uniquewords():
    for i in range(len(words)):
        if words[i] not in unilist:
            unilist.append(words[i])
    print ("Unique words: " + str(unilist))

def PosText():
    global pos
    find = dict((sentence, words.index(sentence)+1) for sentence in list(words))
    pos = (list(map(lambda sentence: find [sentence], words)))
    return (pos)

def Error():
    MainCompression()

def OutputDecompressed2():
    for number in pos:
    decompression.append(orgsentence[int(number)-1])
    finalsentence = (" ".join(decompression))
    print ("Original sentence from file: " + finalsentence)

def OutputText():
    print ("The positions of the word(s) in the sentence are: " + str(pos))

def MainCompression():
    global decompression
    decompression = []
    global unilist
    unilist = []
    InputFile()
    Validation2()
    OutputDecompressed()
    Uniquewords()
    PosText()
    OutputText()
    OutputDecompressed2()

MainCompression()

现在描述一个示例测试。假设有一个名为＆＃39; ohdear＆＃39;的.txt文件。并包含句子：＆＃34;你好你好你好你好＆＃34;

现在程序如下所示：

Please enter an existing compressed file to be decompressed: ohdear
Words in the sentence: ['hello', 'hello', 'hello', 'hello']
Unique words: ['hello']
The positions of the word(s) in the sentence are: [1, 1, 1, 1]
Original sentence from file: h h h h

正如你所看到的，原始句子并没有从句子中单词的独特单词和位置重新创建 - 奇怪地显示了4个小时。有人可以帮助解决这个错误，因为我不知道如何从句子中单词和单词的位置重新创建原始句子。问题出在OutputDecompressed2（）函数中。在此先感谢您的帮助。我被困在这一段时间......

Answer 1

words = orgsentence.split(' ')

这意味着words是一个字符串列表，orgsentence只是一个大字符串。但是后来你得到了：

orgsentence[int(number)-1]

这将成为一个角色。而是获得words[int(number)-1]。

此外：

find = dict((sentence, words.index(sentence)+1) for sentence in list(words))

只是为您提供第一次出现的每个＆＃39; sentence＆＃39;因为那是.index所做的，所以你有输出：

The positions of the word(s) in the sentence are: [1, 1, 1, 1]

这显然是错误的。

顺便说一下，sentence是一个可怕的变量名称，为什么不word？

重新创建句子时出错

1 个答案: