Python 读取写入配置文件 —— ConfigParser

时间:2022-09-28 08:49:47

Python 读取写入配置文件 —— ConfigParser

  Python 读取写入配置文件很方便,可使用内置的 configparser 模块;可查看源码,如博主本机地址: “C:/python27/lib/configparser.py”

Configuration file parser.
 
A setup file consists of sections, lead by a "[section]" header,
and followed by "name: value" entries, with continuations and such in
the style of RFC 822.

  该模块支持读取类似如上格式的配置文件,如 windows 下的 .conf 及 .ini 文件等。

  本章节使用如下的配置文件作为示例,可在 D 盘下新建 Pyhton_config 文件夹,创建两个文件 test.config  及 test.ini  内容及示例截图如下:

 [db]
db_port = 3306
db_user = root
db_host = 127.0.0.1
db_pass = xgmtest [concurrent]
processor = 20
thread = 10

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" alt="" />

  本章节就基础读取及写入配置文件进行具体的说明。

  基础读取配置文件

  • -read(filename)               直接读取文件内容
  • -sections()                      得到所有的section,并以列表的形式返回
  • -options(section)            得到该section的所有option
  • -items(section)                得到该section的所有键值对
  • -get(section,option)        得到section中option的值,返回为string类型
  • -getint(section,option)    得到section中option的值,返回为int类型,还有相应的getboolean()和getfloat() 函数。
 # !/usr/bin/env python
# -*- coding:utf-8 -*- import ConfigParser
import os os.chdir("D:\\Python_config") cf = ConfigParser.ConfigParser() # cf.read("test.ini")
cf.read("test.conf") #return all section
secs = cf.sections()
print 'sections:', secs, type(secs)
opts = cf.options("db")
print 'options:', opts, type(opts)
kvs = cf.items("db")
print 'db:', kvs #read by type
db_host = cf.get("db", "db_host")
db_port = cf.getint("db", "db_port")
db_user = cf.get("db", "db_user")
db_pass = cf.get("db", "db_pass") #read int
threads = cf.getint("concurrent", "thread")
processors = cf.getint("concurrent", "processor")
print "db_host:", db_host
print "db_port:", db_port
print "db_user:", db_user
print "db_pass:", db_pass
print "thread:", threads
print "processor:", processors

ConfigParser

    示例代码详见上方,解析如下:

    需要实例化为 ConfigParser 对象  cf = ConfigParser.ConfigParser() ;读取文件  cf.read("test.conf")

    aaarticlea/png;base64,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" alt="" />      secs = cf.sections()  获取sections,返回list   aaarticlea/png;base64,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" alt="" />

    aaarticlea/png;base64,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" alt="" />       opts = cf.options("db")  获取db section下的 options,返回list  aaarticlea/png;base64,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" alt="" />

    aaarticlea/png;base64,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" alt="" /> kvs = cf.items("db")  获取db section 下的所有键值对,返回list 如下,每个list元素为键值对元组

    aaarticlea/png;base64,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" alt="" />

    通常情况下,我们已知 section 及 option,需取出对应值,读取方式如下:

#read by type
db_host = cf.get("db", "db_host")
db_port = cf.getint("db", "db_port")
db_user = cf.get("db", "db_user")
db_pass = cf.get("db", "db_pass")

    cf.get(...) 返回的会是 str 类型, getint 则返回int类型    aaarticlea/png;base64,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" alt="" />

  基础写入配置文件

  • -write(fp)                                                           将config对象写入至某个 .init 格式的文件  Write an .ini-format representation of the configuration state.
  • -add_section(section)                                    添加一个新的section
  • -set( section, option, value                      对section中的option进行设置,需要调用write将内容写入配置文件
     import ConfigParser
    import os os.chdir("D:\\Python_config") cf = ConfigParser.ConfigParser() cf.add_section("test")
    cf.set("test", "count", 1)
    cf.add_section("test1")
    cf.set("test1", "name", "aaa") #modify one value and write to file
    with open("test2.ini","w+") as f:
    cf.write(f)

    ConfigParser2

  • -remove_section(section)                             删除某个 section
  • -remove_option(section, option)                 删除某个 section 下的 option

    需要配合文件读写函数来写入文件,示例代码如下

 import ConfigParser
import os os.chdir("D:\\Python_config") cf = ConfigParser.ConfigParser() # add section / set option & key
cf.add_section("test")
cf.set("test", "count", 1)
cf.add_section("test1")
cf.set("test1", "name", "aaa") # write to file
with open("test2.ini","w+") as f:
cf.write(f)

ConfigParser2

    写入的文件如:aaarticlea/png;base64,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" alt="" />

    修改类似写入,注意一定要 read 原文件!

 import ConfigParser
import os os.chdir("D:\\Python_config") cf = ConfigParser.ConfigParser() # modify cf, be sure to read!
cf.read("test2.ini")
cf.set("test", "count", 2) # set to modify
cf.remove_option("test1", "name") # write to file
with open("test2.ini","w+") as f:
cf.write(f)

ConfigParser3

    上述代码执行后:aaarticlea/png;base64,iVBORw0KGgoAAAANSUhEUgAAAVUAAACyCAIAAAB9WMv3AAAek0lEQVR4nO2dW1AbV5rH+2Xy4hTJPsysXTsJT5tkd2syucyLUrnWeHIl2cSJM9hgOztVUOWJXZmJZ8bEE7JxsrbX4wSbMR5n42ESG3zhKmTZBGPAxkEgkHFsxwQZAbogkBA2SEISAlp4H466dfqiVktqqVvo+9e/KNHq0zf17zvfOS2dQ9R1W+p0Ydd2mWu7zDWYT3WNivK3I1yfvDQs3nQR9KKma7RWZ67Vmeu6LfU91ga9rbF3rMkwrrk8cbrfcbrfob3iPPPd5JnvJs9edZ296mq+NoX8zfVbYGR0QdD1QddKe8V5+opT0+9oujzRdHlCbRhv6B2r19vq9ba6Hmtdj7W221LbbanRmWt0oj/6rtEa5j3Dcq3OEre7rQKu67El5nr9mJB77QJu6B2Xyo19cVhtmEipCRr+Op2lVmepkY7/uKIAl38UAuq6LXQIUPfZUQhAUQCFAOA/4RCgNow39tlRCED8oxAgP/+piQIx+E9jFFBOCCDqmBc9Qf6lyAIEQgCdAqAQQCcCEALiDQGIf4EQkEAKkCn8iwoBgvxLFQIUxH+tYvino4BwK0DdZ0cpADcE0FFAduoUZToEhFOA7yZZrYDGPjvdCkD80yFATBQQ5n85tQKkCgHK5Z83CogNBMk1AQQ6AqK1AiALiIt/4VaAErOA5RsCFBIF+PlPKhGQqCMAvWa1Aup7rNxWQLQQAFEA558OAXhDAA8B3IYAnQIknwUk3goQjAIJhwCFdAfKz3/XoIvfP0xy/e0PzoR9acAh3mh9VLALeXBSZ3R1G13dN6d6hm7ph27pTbf1ptu9w9N9w9OGkRnDqPuy2XPZ7OnHbfGCwzZ7+s0edIkMo27DqNswMtM3PN07PK0fntabbvcM3epGvjmlM7q6kAcnkWN+vrw3TMTRbjMxNka1zjiVsLtv3hLyUEzfTt498VtvmpbQxOtvF6bMBbj/c218RkWwLUS2/MavN+Bek79hTf5Glt9ctwnMa+61WpO/8Y38yPV8HTmFN4a03pCgf52s38h8E/OLoUz0AjLJ9RI4HjOvHnVhZf98M8ILspjnnk/cxMR0IF6PT/tF+Xby9uH/TkwjBxwzyHOOmTmnGznodAcnPcjztF3IXvC8y0tdDez6THrmJz1BdPWc7qDDPYeuqmNmzjETmEBO6NNP4L5KyjMJGjvfzLE7KJUJiqWAYzqqk/hg/FI74KD4d7Lgp/jnY34BjJkREaigGcQCwZwzEgjCV1tCVgXutNieieYUkRbbdPTMRBN4vE+Jo8YUscyjlVl3gBPjf9I9R9/BLsQ/dotPhb0Axjw/xckLsCgwF/HMnDN190Yi5gfVmYzdSVoGbvGonYwJ7EIEoln8x7Nz196du/Zyl1fXNOYXbGCtWV3T6Jj287qjq69o8xb0urqm8cmnn7U4ph3Tfrr44Oj4w488ajRPTLrnUM3vos0mH4N/NjNssjkfePChS/orqdoFbxTwzrvoO4PKAqgoELA4Z558+lmCIHZ8tPNffnpfh64veZgFbrnoTinJMhM+Kd4p4F8oBIgMBDH5p1+w+M8v2EBQQrTv3LX3yaefbW7rLNq8hUol/KggwdHKVatuWiZ4Q8Cne/atK9xkn/I+9cxz+Pomm5NFxbrCTZ/u2Sc5bKxdn6zXyM9/tBDgCUYLATt37c0v2OiYCXToDLLyL0sISGPFnt4oQHCuYHz889KIC4WD6ho1l//CTb8hCCInJ6ejq88x7bc4pl985dWOrj48FrCCAhU41B26vpdeedXqnHG656zOmTffzr9pnuBmAZ09/S/nvWaf8iIIafZO1mu4KNqnvC/nvSY5dfhmL+mv/PS++3h3gR9hOvjnDQHouvGFgPyCjbyRXQ7+ZYkCyzME8PA/POa65957E6j/O3R9OTk5K1euGhwdpxdaHNMobyQIYuXKVRVfVEYq4ZWrBkfsRZu3IP4HR+zvbfsTK/+vrmncuWtvJPOf9ocTh3BM2eicCSD+jeaJSTeb/3WFm07Ua6a88yz+EYoPPPgQKws4Wa9ZV7gpJjnmidv33vtPCfA/FT3LkIH/2aitAG4IQPzH2x5MZQhYtlmA/PwTBPHjn/wkLv4tjuk1a/Pf27YdmZP/q/MLNnR09eXk5OD5P13nR8Ce9jum/e9t+9PBLyrzCza8t+1P3f3fP/zIo4Mj9uqaRuFcI79gI54CjLk8L+e91tnTP+WdH3N5wnRRvQA0b3idfEl/BeULMfknCOLHP/nnxPj/80efPPXMc3QUOFmv+bd//4+cnHvQWTz1zHPXb5ofePChD//7U7SEDkkmm3PlqlWsJgwKFvTK0ZoweFm0DmtrQ1aHyzs/ZHU88OBDf6a29snuvyD46ZDdeKb1Xx98CIX4wdHxlStXoSTug9KddI6WliiwbDsC0ss/OjHs2iH+o4WAaFEgv2BjdY0atf/RCy7/Dk77H0WNwRE7nSasXLnq4BeV1TWNRZu3VPzfP/btPxguQqUA+QUbqmsaq2saUaKB1f/jrL7AmxbHzx95bMjqEM+/yeb8+aOPcbsGePkXGQJ48/+T9ZqnnnkOBZp1hZtO1mtY9f/KVasQ9nQRtBCPGigE8K7MCz8eGiJLvAtT3oUT9RoUAoasDrQ1lyd4sfvyv/z0vovdlyP1v3vugs6A+EfwV9eo6SwvvfzLFQKWVRQQ4p8giJyce8TwTzcO6f4/VnMR5eoOvvY/ummqaxpzcnKa2zrXrM1//sWXCYLIL9iAOhfoDgLGs4CZQEdX30uvvGpxTFuc02+uzTeax53MZ4EXuy+/lPfamMvjYvHv5amWeevqmPyjSxSTf7r/LyfnHjrQoAyfjjjR8n/6kPCQgccv3pVZx8Aqy17iDW/tRL0G1f8Xe/pdnqDN5Xkp77WL3Zcn3cH8go07d/8F57+6Vo0DX12jTjv/kAWkkv8VK+62T80K848CP4063v+fX7ARMR+Nf9SMHxy1P/zIo4WbfvPm2+sQ/4Mj9obTLXSn4O/+sB09/EPNh2jJ//FaNToXOgVA9f9Ni4Pm/wTNv5cHiQTq/xUr7nbOBOLK/2l/umcfMqq6E+AfLZeAf6pgZ08/4r+zp9/lnY/w74nOv1MC/jMtBVh+/LvZ/K9Ycff4LZ/ApcfT/uoaNYvGnJycDl0fHQLQCqiVyOK/o6vvxVdetTimizZvQfxfGTChtH/nrr0dXX2f7N6HggKq/1Fx1AoYHLWvWZuPHhZi/IdDwE0LVZWF+X8W9QUi+OmqmNX+53YKRuN/xYq7J91zceX/uC/przz3y18998tf0egK88/N/xHAYvhHZemN/+3I17xbG3N5hqxOMfwbzVT+XytB/p9pvQBpCgFpiAIE+8Rm5ky2yR/dddf4bV9ijwNZLX90Z6Bw4JgJdOj6Is/zw/VGBGnU/v+gdGdHV9/giH3N2vzi324dHLGjtgAP/yMR/qtr1c6ZACsErCvYeKKuCfUFPvXMs3R4Cld93oUpL4N/kf3/o+O3fnTXXWLgF2ByanZhXeEmvBL+dM8+vP+Pi7RA/58w/yjcoC5GvCCz/8855V3A+R9D/Pf0oyuJ+gIvdF9G/KNYgDKynJycHR8l3v+Xma0A5SUCkvCf5NcBhJ8S448DI5lCV59jJkA/COR9/v/6mrWsglw9+fSz6BsBdAhAXQC2STf9RJDn68BxNv4ldIq+cZS44/xSEH4bsLoD0su/YAjIHv7jjwIS85+so3wdmN90Ee49hIWAT3b/ZV3BRr7vBbP5TzONItsaCRiv2JHEfOkwagjwBF1e7GdCVAhAj13QIxjUFpDqC0LAf1L8xxMCuM//55w8v69IAephehP/XRDrN0L4j8PCN0SsnwbJ+OugdYWbwljK/1sgwZ8GCf466ILOQH9tQfJvB8bpGL/ki9FGSGH4SEeMYIcM8fyL/i1kvBin6wfCtzmBIBwCIh8eHhRdUQYFkJs6pVhwyADEPxYCotwbyf4QOGVRIDEnFyBk4F+8+fmX6JfeiVMd1zAhaP0owwTMORifEB0IYHQQEcbJdzPgZ48UkuBHL+WwArHDTYrGCEiPRYxEkMDABImM/8NrKUb7kcz4vRWOApzLQUeByGBBsvOmJOMDBE0yxghiDBPEGiBIuqGf0j6CkLBn5pKxTCFDxPg/cwukcj0fj/m2EIw4xPAiv2UfUk45jnaJmFcyfHnlv1VS72AMhzLRRFVTW5X6vICPsdzYGpePNp6L7YZobonHdJFzRxvOHWs8d6yxtUrdWqU+X910vrqp7bgGuf24pv3E6fYTpztOapEvnNReOHWG9kUw5QunzlxA1+ektuPE6Q503Y6fbj+uaT+uaavWtFU3tVU1na9qQrdK6zF1nB9947l47yhR5t63mIVveCE3tSXsagmticPoho9m4qpl5qpl5juzsKcZHr0t4CsjLN9K0v3DU2JMr4yX/W709nfm21fN01ctM9csM9et7u9tnu9tnu/HPN+PeW6MeW/YvQP22QH77MC4D/kHMGX6mgzYZ2/YvTfs3htjXnTpvh/zXLd5rlvd16xu6hZCt8ftK6OUxX7E3HsmYuGbLYZZ9y3bMW97ttGZRrE7nb5mjcPXrZ5oJtBsJ8IzpbDnXRGcrUXhM4iyZhCGucPEzB2EzxrEnUQcnzgo3rkDl9sMommZOEzCucNSzn/y84gnP30gHgLo6QPxicMgBAiHANbEYfgMojj/vDOIio/+2TCDqEL5V0oWkPQMouInEYfpQ8XzzzOJeL9D0++QcBLxDJpBNPYk4pkTBQjWcS+PVgAeC6K1AvAZRCEEJBICMmIG4RSEAOBf0fzH1QoQnkFYdvAUZToEhCcRF9EKiKsjQJh/RaUAyXcESBIFJOB/aMLLtEfAN8fjtZtloxjbZyQ32vvQuGdowmOa8JgcXpPDO+ycRR5x+kYmfaOT/tFJ/6jLP+rym2lPBcBhu/xmV/j6oGs1MukbmfQNO33DzlmTcxZdVc7dEs9Hz7lhOE7gJhSy8A0fy14hO2Lb5JhNt50ME+uL3weDwdlpQtrpRMFgcAaZCC3dAYPB2WlinrwDBoOz04R/4Q4YDM5OE775O2AwODtNzAaXwGBwdprwBJfAYHB2mnDPLYHB4Ow0MR0IgcHg7DRx2x8Cx7BR8+IGzXeyHwYYLLWJWz5SUtvKCj8oM8Zes/GjgvtVBS9U2qQ+ABFurcgtbLrCXt67RVWwpTV8YPerCnILmxorP0CvafMdsK2ssGBLa9R9MYq0VuR+1BvtwK5UfhB1O2BwCky4ZklJbfu88IPPB0nXbO+7THLuVxXklvbSy1+otFHrYyuoKhokPh6GLzN5zlVVNLRW8O76cuUH1BGSrsGmFwqbLs+SrtaKyEKGe99VobNmu6E0vDz8orUit7RX4PDebU3h6YPBLBOT3kWpXF+KoVWoNtBvDahfKNVTq+nfxd/y2j4vrKjneZ0iR3Zh+HvJC3+3TZ6ryI0cG+VzFbmFaoNXzw1h96sKcgsr3i3kWc5cR21AJx4+WeqsWbs7VyG8nXfPpfRqgLPdhMOzKKlt+wpL9g0wFw6on/9QT/2r/22hupexfkUtz+uUeUD9fKG6lz6kcxW5kWOjjlDFPAxUxLPoOFfx/BEbvbz3SMlvzzE3zlkhl9oLl+3wmgO2Xt4NYsvB4BSZmHAvSGrrvsKSfTeYC2+on/9QT/2r38xgQL+v8GBtpCz9OiXex6m3N394kFVv61sO0q9rj5RwoLVGOa+FCfdC7Yf4ues3qwpyP9QzrknLwVxmkYkb6ufRft0L+iMlm1uogoUHa28kfqZgsBgTwxM+ST28az1qTm/fZaAWGupWl3RRK3QVr6/rZKxfXsXzOqXGjkFTnlvSNTzhqyrBDpi1jqFuNeOY8YNnnia2Wueh7atLyleXdDFOn9odrzsPbS/WpOH0weCwpeS/qoRDPrJi+O88tJ3Z/1dexeE/DKGhbnVJFzojRhFWIIgw31XMPPGqQ3WdjBP3DU+w+edun7s72W8R8DJ2Kup/5fI/bKhbrSqvmugqXl9evL68CtXSh4aH8frfULd6fV0VXhVHrf99wxO+YU05f9SjT1xTHo1t5ja7iteXFx+Kmh2AwZJbTv6rSgpWH+pKJ//UsaFj6CpeX7eLwh7P/6tKCnJRmODjlp2iU3jzpO6x6n/MVPog2EAAg6V12vk31K1mgDS8a315FbWQUyWmyFQMwip2Fv+Mg4lS/4dXo04N/YuyCZ4TR+bDmwo3kXX4owkYLLWl5B+1rrFbOdwXyKBCU54bNf9Pg6nuyXCbP4JZVSQRCB8tq7MgkreX1KGN8CIavgh0fBHR/ufdDiu4gMGpsOT1PxgMzhgTwxN+MBicnQb+weDsNTHs8IPB4Ow08A8GZ6+BfzA4e00MOwJgMDg7TYxMzoHB4Ow0YZ9ZBIPB2Wmif8gFBoOz08TX6m/BYHB2miCZ+mHcT4JAKRa6ze7wynTgCYLSEwdM/CtJKxl2qRAB/xmsZ3/zB7kPIUHF4r+4Ob0YUGouBv7luB9AcevJje+/feTixv89KveBJKL4+W8uJiSJCsLbAf6B/0zQk+u2/Nffmnfrp8oNt75s1sl9OHErLv6biwmW8Lex3B1bjGf0FNLC26F2BfyDlK1fbnpvj0bXavOdHfF2jfn6Jvzf2jPsU5Oq/jcdeIJebDrwBE56lEoe6n+GgH+QDJKIfwx5RkHTgSeideQB/wwB/yAZJBH/3Iweo5duAnAaE8A/LeAfJINSUv/zq7mYERWAf4ZSwf/1z94prxmL/v5Y+9Z3duS9c0pHkrrDOz4zJL1DUKYpfv75UedP9E3NzZElLOCFQwbwnyz/1z97Z0cex1s1DpIkrZryPIp8kkSB4FTmdV6DklYiz/+xZB9nlNHTj97hWRR7O9R7wH+iQniz6/Ox9q2l7dbI/46aUsS8o6aUP0yAlr3g+z8KkWT8WzXleaXtVpLUHcaSf8OpvAj8XOAZlT+0BbJH8P1fhShF7f8dnxlI3eEdeYev872LsL9eQzUKtmocnDQBtJwlxD8ojUpJ/z9/QwDJcCrvnR15WAdhmH9QNgn4V4gk5l93mKfzD2vYO2oOn/qs9JSOvP5ZabvVcCrv8HWrpnyr5npNKST/WaTlyj/+hQTV/gxoSEjGPyJ/aylfZW44tTWS6l+n+v/CDQGq/o/11BC0jCQf/1L9jijK1pupTZv2q1K5I6kkcf3Pn8xT/OsOn9KF+/8ddIUfKWI4lVfanszeQZkiAf5N+1V8dSi+mMaKAbNpv4r6J7w8UhsXN98R9fsfCWXar8qAFEB6/gXzfxJ7/hcpAu3/bFM0/k37VXyJM4MlrGYV4h/DG18ttfU/prTtKCmltf4nSZLBf7gvEFr+Waco/EepM9mLabRi1P93uO/EgyUjE4mvVZ8Zlf8d+P4/SBZF4T8KnOzFaeI/UWUM/HeAf5AsSkX9j/0jY/2P7ysDBPyDZJBg+5/nd35R2v+R5WFWY/Of2sq5uThDnvtRAv5BMkhs/z8zu+fptqf69FX7TeLyf8ZjAKlRZT9hUH4oAP5BMmi5fv8n4wT8g2QQ8K8QAf8gGQT8K0TAP0gGAf8KEfAPkkHAv0IE/INkEPCvEAH/IBkE/CtEwD9IBgH/ChHwD5JBwL9CBPyDZBDwrxAB/yAZBPwrRMA/SAYB/wqR9PxfFFQwGExy+6BlIOBfIUoJ/+TiIkkuhkJkKEQuLYWWlkIkubi0FOrr6zt//rzH60lyF6BMF/CvEEnP/4ULFxYXF7ghYGkppNPpAoFAW1ub2+1Oci+gjBbwrxBJz397e/vCwjxvCGhtbW1paWlpaWltbU1yL6mUsUxFEARRpJX7QJavgH+FSHr+29raFuaDCwvziwsL5OICKwRMjI9bzGYl828sUwH6qZbg/H/YSB8yD6ChoENJkaTnv7W1dT44xxsC6CjQ0tLCKZcAdylBVVtEqMqMEm8UxFQs/uUYQa+5OPqMAM3FwL9ItbS0BOcC88G5+fngwjwWAkjgHxRW/PxLNW4vz3aosQOLo+8C+Bets2fPzgUCrBCwyAwBZ8+eZZUqiuRZCD5tEWsB3S4Pt821nCK0uGWxlSMRQ1tEqMrKivA1sfWgDZBCxcW/8Lw9WI7OGvKPnbrHmv9HIMQA/6Kl1WoDfv9cwM8MAfNUCFgMhUitlgsXXpnjdTC1nKey563/tUXsgMBcoi2i2NYW0Zgby1RY4IH6P9WSqv7HZ9nDRvYVJjmxt4B/cdJoNAGfjw4BweDcfJARAkhyUaPRcMphMOO1daRyRktxNvn45+LLXkKXYkUZ4D99koh/5mDekYJRphGLuh0xbwH/4tTQ0OCfnfX7fAG/LxwC5pghYHGxoaGBU47Jf1QEUSMAvZ0w/3SyD/zLI4n452b0GKV0E4DTmAD+aUnPf319vc/rZYSAAB0CguirAfX19ZxyrPwfb6YXaUmSNJaVaVlrYkUiCTxeVltGJQ6M/J+HdOA/rUpJ/c8v1pQcwD9D0vNfWVk56/UyQoDfP8cMAZWVldyC4e69SNXO01/HWhQpgjXgsbI8Rdn9f8C/HIqff37U+RN9U3Mzz2RhQtvhW5P1FvAvTgcOHJj1eGa9HioEzDJDwNzCfPDAgQNJ7gWU0Urk+X+UeXuY8wWp9pt4Fwlth2eeP54ywL847d692+t20yHAxxcCdu/eneReQBktJX7/R0jAv2jtEKck9wLKaMH3fxUiGP8DJIPg9z8KEfAPkkHAv0IE/INkEPCvEAH/IBkE/CtEwD9IBgH/ClGqxv+cnQ3wvoDxP0Ek8K8YpWr8z/b2dqNxKBQi0QuSXGxvb4fxP0FIwL9ClKrxPy3WsfFxZyhEohdLSyGLdQzG/wQhAf8KEYz/CZJBwL9CBON/gmQQ8K8QSc//tj1f6n+w4H+5VvL4f6A0CPhXiCTm3zXtPdFxFf090XF179Fv9DddmTX+JygNAv4VIin537bnSwT/tj1fIle3X/tbUw83C0jx+J8gpQv4V4ik5N8XCCL4fT6f3+8LzgX2Hv1m254vg3PBNI7/CcoAAf8KkfT1/7Y9X3YPmLsHzPofLIh/bv2fwvE/QZkg4F8hkrj9j/j3ejxerzfg9yH+Z2d96Rv/E5QJAv4VIonr/78eP3uu37L36DfIR0737PmHhlv/Sz/+JyijBPwrRBLX/+f6LX89fpbu//ufyjNHTvcE0jD+ZzIHDUq7gH+FSGL+FxcXxTz/h/E/s1zAv0IE43+CZBDwrxDB+J8gGQT8K0Qw/gdIBgH/ChHwD5JBwL9CBPyDZBDwrxAly//8wuI3hrHPG26UHrsCBosx8K8cJct/o86i7hkzu4JTvhAYLMbAv3KULP+fnrw2MUNabpPDU2ELj//pnAnSa4Kz08C/cpQs/6XHrrhmQyYXSRuN/1l/Jjz+J3pBkov1Z8Ljf446Pfj64Gwz8K8cScP/zUmSdszxP8+fbxuyu/Ei4Kwy8K8cScG/N3TTSdIWOf4nXgScVQb+lSMJ+J/0hgadJG2R43/iRaSxvuxR6vdBb5+QeuNg6Qz8K0cS8O/whAYcJG2R43/iRQYc5IDDWPILYu1xkrNcwHgR7dpflH2DlneXPUIUfRHHdsBpNfCvHEnA/4Q79P04iSx+/E+6CGXj9seJtVUkZ7mAoxUxbn9ctV0X16bA6TPwrxxJwP+4O3RtnLw2Ht/4n6gI7bfosb4eL9OOk9fGtfSSRz42onW0H0fGBDiErUAVoa19iyg6xNw+WDkG/pUjCfi3u0NXx8irY+Rlcxzjf6IimI1/fJx46xh6rX2LUP3xW+byb8seJooqohaJuKKAePhjI2f7YKUY+FeOJOB/bCbUbyP7bfGN/4mKYDZue5xYc5Tst5H9R9njfz78sbHfpl1DEASh2naJrwjlvxYQRIGWs3Gwggz8K0cS8G+bDhmsJLL48T/pIpSN7z9OrPmaNFhJw9dFxONlavYKkdUIQvV+J7OIlTRYyfL1BLFey1cKrCAD/8qRBPxbpkO9FrLXEt/4n6gIZuPvHyPe+Aq91r5B0K/JA+uLDljI3s6y33/FWhMvYvz9Y8TPPjJyNgtWnIF/5UgC/s23Qz1mEln8+J90Edq1H6kIgiAeK6s1kz0Xy35GJf+vfxVeoWwdtWidll3kK1aTQfW7i+ztgxVi4F85koL/WyHdKBn2iNjxPyNFwFlm4F85koD/0VuhrhGStsjxP/Ei4Kwy8K8cScD/yFTo0jBJW+T4n3gRcFYZ+FeOJOB/eCrUOUyCwSIN/CtHRJL876m5NjC+0D1KdprAYFEG/pWjZPk/3WOt67YPOkmTKwQGizHwrxwly38guNDQZfn05DXZR5UEZ4qBf+UoWf5BoAQE/CtEwD9IBgH/ChHwD5JBwL9CBPyDZBDwrxAB/yAZBPwrRMA/SAYB/woR8A+SQcC/QgT8g2QQ8K8QAf8gGQT8K0TAP0gGAf8KEfAPkkHAv0L0/yHmDv1KTzVMAAAAAElFTkSuQmCC" alt="" />  [test] 下 count 的值为2; [test1] 下的 name 键值被删除,若需要删除整个 [test1] section,使用  cf.remove_section("test1")

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