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liangjingkanji avatar liangjingkanji commented on May 24, 2024

有序和无序我觉得如果混用怎么还同级?我没改过对齐,你可以反馈给Typora作者

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ydteng avatar ydteng commented on May 24, 2024

@liangjingkanji

有序和无序我觉得如果混用怎么还同级?我没改过对齐,你可以反馈给Typora作者

可能是字体的原因,用自带的几个皮肤都是对齐的!

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liangjingkanji avatar liangjingkanji commented on May 24, 2024

复制你的内容贴出来,有空我看下这个问题,最近很忙
你也可以自己尝试修复,我也不是专业的前端开发

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liangjingkanji avatar liangjingkanji commented on May 24, 2024

Typora如何渲染都不会影响你复制到其他主题

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liangjingkanji avatar liangjingkanji commented on May 24, 2024

你再贴一张其他主题正常的对齐对比图

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ydteng avatar ydteng commented on May 24, 2024

@liangjingkanji

部分内容源代码:可以看出在github的markdown中就是对齐的。

要点

  1. 数据集特点

原文:Our method ensures that no filename collisions will occur when merging different directories that contain files associated with different vulnerability types. This allows researchers to group many different vulnerability categories together into fewer, more general categories.

  • 个人理解:用最少的类别,包含最多的文件,即用分类尽量最少,但是也不失齐全的种类。
  1. 应用(重要)
  • Vulnerability detection and code repair:可用于漏洞检测和分类任务,还可用于训练自动源代码纠正任务的深度学习模型。

  • Code change embeddings:学习实际代码更改的向量表示,检测漏洞补丁提交或其对漏洞类别的分类。

  • Applications on commit messages:添加漏洞补丁的语义意图;可用于训练深度学习模型以自动生成提交消息;用于漏洞提交消息的检测和分类,并有助于创建新的源代码漏洞数据集。

  1. 数据集的限制及解决方法
  • 限制:细粒度不够,只是对整个代码文本的处理而不是具体函数

  • 解决方法:为每种编程语言使用一个语言解析器,将文件分解成函数,然后使用提交的git -diff对其进行标记。

  • 限制:漏洞较多,但是对应的安全补丁较少。

  • 解决方法:可以通过以更多的假阴性为代价来减少假阳性,从而进一步提高模型在挖掘场景中的效率。(翻译,未看懂-MARK)


其他主题截图

github主题

微信截图_20230916230426
Night主题
微信截图_20230916230450

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ydteng avatar ydteng commented on May 24, 2024

复制你的内容贴出来,有空我看下这个问题,最近很忙 你也可以自己尝试修复,我也不是专业的前端开发

有空搞即可,我也自己研究下

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