类似“超强智商”之类的答题游戏作弊思路
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类似“超强智商”之类的答题游戏作弊思路

　　今年年初时答题游戏比较火，对于一些比较热门的游戏，已经有不少成熟的辅助程序了。然而这个实验室同学转给我的这个小程序，似乎热度还达不到做辅助的标准，而题目又比较恶心，自己答起来比较费劲，所以在这里探讨一下作弊的思路。

利用图像识别的思路

　　很容易想到的一个思路就是把手机屏幕投射到屏幕，这里可以用模拟器/ADB/TeamViewer等方案，然后截图，利用tesseract-ocr将图片识别成文字，最后调用百度搜题。

　　安装必要库就不赘叙了，有需要日后再补。我是采用了模拟器的方案，简单写出代码如下：

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import win32gui, win32ui, win32con, win32api
from PIL import Image
import pytesseract
import webbrowser

def window_capture(filename):
    hwnd = 0
    hwndDC = win32gui.GetWindowDC(hwnd)
    mfcDC = win32ui.CreateDCFromHandle(hwndDC)
    saveDC = mfcDC.CreateCompatibleDC()
    saveBitMap = win32ui.CreateBitmap()
    w = 480
    h = 120
    saveBitMap.CreateCompatibleBitmap(mfcDC,w,h)
    saveDC.SelectObject(saveBitMap)
    saveDC.BitBlt((0,0),(w,h),mfcDC,(50,320),win32con.SRCCOPY)
    saveBitMap.SaveBitmapFile(saveDC,filename)
window_capture('cqzs.jpg')
text=pytesseract.image_to_string(Image.open('cqzs.jpg'),lang='chi_sim')
new_text =''.join(text.split())
url = 'http://www.baidu.com/s?wd=%s' % new_text
webbrowser.open(url)

　　其中w，h为截图框大小参数，还需要根据实际情况调整定位，以便完整截图。

　　实际使用情况图片识别大致能让人满意，然而效率上有点低，整个过程大概要3-5秒，只剩一半左右的时间答题，所以希望有更好的方案。

利用抓包的思路

　　通过Fiddler抓包发现，每次12道题以json的形式一次性直接传递过来，因此可以在答题倒计时时就直接把12道题一块搜，这样每道题基本上有10秒时间作答，比上面的方案充裕了不少。

　　安装的过程略，需要修改FiddlerScript使其输出题目。代码如下：

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import json
import webbrowser

stat = True
while stat == True:
    try:
        file = open("d:\\python\\temp\\cqzs.txt","r",encoding="utf-8")
        j = json.loads(file.read())
        if 'game' in j['data']:
            question_list = j['data']['game']['question_list']
            for q in question_list:
                title = q['title']
                url = 'http://www.baidu.com/s?wd=%s' % title
                webbrowser.open(url)
            stat = False
        file.close()
    except:
        pass

进一步改进方案

　　这样只是把每道题用百度搜了一下，还需要人工判断，可以考虑用通过词频比对选择答案，或者多平台搜索集合之类的方案。以后有机会再补。

结局

　　奖品虽然最低只需要通关5次，但是不包邮，强烈怀疑奖品价值够不上邮费。想免邮费最低需要通关25次，考虑到麻烦程度，溜了溜了~

# Fiddler, Pytesseract, Python
AirPods开箱
将SMILES转成InChiKey

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