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图神经网络方法实现编译器自动注释/转换伪代码

下一步目标:

1.用matplotlib等绘图软件绘制临界链表表示的图

2.构建多层感知机

Changelog:(New -> Old)

*11.30 python代码完成功能如下

  1. 实现了从一整段完整代码的消除注释/引用,并从中提取/分类相应Tokens

  2. 将1中结果传入转化为邻接表形式,准备构建GNN图

*11.28 完成C++实现的带有注释/引用消除器的实时Lex分析器的python迁移工作

*11.26 分别用C++和Flex工具,完成2个带有注释/引用消除器的实时Lex分析器

*11.04 Fixed a bug in the code.

*11.03 Complete the C++ code implementation of the lexical analyzer and the corresponding encapsulation work.

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  • C 53.0%
  • C++ 24.7%
  • Python 12.6%
  • CMake 8.3%
  • Lex 1.4%