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sloccount=Count Source Lines Of Code
官网 : http://www.dwheeler.com/sloccount/
1.1 Ubuntu安装
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sudo apt-get install sloccount
1.2 使用
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sloccount [--version] [--cached] [--append] [ --datadir directory ]
[--follow] [--duplicates] [--crossdups] [--autogen] [--multiproject]
[--filecount] [--wide] [--details] [ --effort F E ] [ --schedule F E ] [
--personcost cost ] [ --overhead overhead ] [ --addlang language ] [
--addlangall ] [--] directories
--cached
跳过计算过程，直接使用上次结果
参数
描述
–multiproject
如果该文件夹包括一系列的子文件夹，而它们中的每一个都是相对独立开发的不同的项目，那么使用”–multiproject”选项，评估将会正确的考虑到这一点
–filecount
显示文件数目而非代码行数
–details
显示每个源文件的详细信息
–duplicates
算上所有重复的(默认情况下如果文件有相同的内容，则只算一个)
–crossdups
如果顶目录包含几个不同的项目，并且你想把不同的项目下重复的文件在每个项目中都算上一次，则使用该选项
1.3 转换成html文件
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有一个sloc2html.py可以把生成的结果转换为带图形统计结果的html文件. 缺点是对中文支持不好
例如：
sloccount --wide --multiproject SourceDirectory >result.txt
sloc2html.py result.txt >result.html
再打开result.html即可看到结果形如：
下载地址 http://www.dwheeler.com/sloccount/sloc2html.py.txt
输出样例 http://www.dwheeler.com/sloccount/sloc2html-example.html
wget http://www.dwheeler.com/sloccount/sloc2html.py.txt -O sloc2html.py
sloc2html.py文件源代码如下
#!/usr/bin/env python
# Written by Rasmus Toftdahl Olesen <rto@pohldata.dk>
# Modified slightly by David A. Wheeler
# Released under the GNU General Public License v. 2 or higher
from string import *
import sys
NAME = "sloc2html"
VERSION = "0.0.2"
if len(sys.argv) != 2:
print "Usage:"
print "\t" + sys.argv[0] + " <sloc output file>"
print "\nThe output of sloccount should be with --wide and --multiproject formatting"
sys.exit()
colors = { "python" : "blue",
"ansic" : "yellow",
"perl" : "purple",
"cpp" : "green",
"sh" : "red",
"yacc" : "brown",
"lex" : "silver"
# Feel free to make more specific colors.
"ruby" : "maroon",
"cs" : "gray",
"java" : "navy",
"ada" : "olive",
"lisp" : "fuchsia",
"objc" : "purple",
"fortran" : "purple",
"cobol" : "purple",
"pascal" : "purple",
"asm" : "purple",
"csh" : "purple",
"tcl" : "purple",
"exp" : "purple",
"awk" : "purple",
"sed" : "purple",
"makefile" : "purple",
"sql" : "purple",
"php" : "purple",
"modula3" : "purple",
"ml" : "purple",
"haskell" : "purple"
}
print "<html>"
print "<head>"
print "<title>Counted Source Lines of Code (SLOC)</title>"
print "</head>"
print "<body>"
print "<h1>Counted Source Lines of Code</h1>"
file = open ( sys.argv[1], "r" )
print "<h2>Projects</h2>"
line = ""
while line != "SLOC\tDirectory\tSLOC-by-Language (Sorted)\n":
line = file.readline()
print "<table>"
print "<tr><th>Lines</th><th>Project</th><th>Language distribution</th></tr>"
line = file.readline()
while line != "\n":
num, project, langs = split ( line )
print "<tr><td>" + num + "</td><td>" + project + "</td><td>"
print "<table width=\"500\"><tr>"
for lang in split ( langs, "," ):
l, n = split ( lang, "=" )
print "<td bgcolor=\"" + colors[l] + "\" width=\"" + str( float(n) / float(num) * 500 ) + "\">" + l + "=" + n + " (" + str(int(float(n) / float(num) * 100)) + "%)</td>"
print "</tr></table>"
print "</td></tr>"
line = file.readline()
print "</table>"
print "<h2>Languages</h2>"
while line != "Totals grouped by language (dominant language first):\n":
line = file.readline()
print "<table>"
print "<tr><th>Language</th><th>Lines</th></tr>"
line = file.readline()
while line != "\n":
lang, lines, per = split ( line )
lang = lang[:-1]
print "<tr><td bgcolor=\"" + colors[lang] + "\">" + lang + "</td><td>" + lines + " " + per + "</td></tr>"
line = file.readline()
print "</table>"
print "<h2>Totals</h2>"
while line == "\n":
line = file.readline()
print "<table>"
print "<tr><td>Total Physical Lines of Code (SLOC):</td><td>" + strip(split(line,"=")[1]) + "</td></tr>"
line = file.readline()
print "<tr><td>Estimated development effort:</td><td>" + strip(split(line,"=")[1]) + " person-years (person-months)</td></tr>"
line = file.readline()
line = file.readline()
print "<tr><td>Schedule estimate:</td><td>" + strip(split(line,"=")[1]) + " years (months)</td></tr>"
line = file.readline()
line = file.readline()
print "<tr><td>Total estimated cost to develop:</td><td>" + strip(split(line,"=")[1]) + "</td></tr>"
print "</table>"
file.close()
print "Please credit this data as \"generated using 'SLOCCount' by David A. Wheeler.\"\n"
print "</body>"
print "</html>"
命令行高手用vi，配好了不管是语法高亮还是各种调整都很方便，不过学习成本很高eclipse加cdt，可以搞定大多数代码，属于Linux传统神器
VScode，代码阅读新秀
wine+source insight，黑科技，Windows上用惯si的可以试试
有很多啊，有各种Linux发行版自带的gedit、还有拥有很多插件的Sublime Text 2或3、微软出品的VScode文本编辑器（有Linux版）、Atom文本编辑器，都支持各种编程语言，有代码高亮、自动补全等功能，都可以作为代码阅读工具。欢迎分享，转载请注明来源：内存溢出
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