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<!DOCTYPE html><html lang="en" data-theme="light"><head><meta charset="UTF-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1.0,viewport-fit=cover"><title>Jason的博客世界</title><meta name="author" content="Jason"><meta name="copyright" content="Jason"><meta name="format-detection" content="telephone=no"><meta name="theme-color" content="#ffffff"><meta name="description" content="涸辙之鲋，旦暮成枯；人而无志，与彼何殊。"><link rel="shortcut icon" href="/img/favicon.png"><link rel="canonical" href="https://jasonfengjx.github.io/index.html"><link rel="preconnect" href="//cdn.jsdelivr.net"/><link rel="preconnect" href="//busuanzi.ibruce.info"/><link rel="stylesheet" href="/css/index.css"><link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/@fortawesome/fontawesome-free/css/all.min.css" media="print" onload="this.media='all'"><link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/@fancyapps/ui/dist/fancybox/fancybox.min.css" media="print" onload="this.media='all'"><script>const GLOBAL_CONFIG = {
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})(window)</script><meta name="generator" content="Hexo 7.0.0-rc2"></head><body><div id="sidebar"><div id="menu-mask"></div><div id="sidebar-menus"><div class="avatar-img is-center"><img src="https://s3.bmp.ovh/imgs/2022/10/15/8da5bc3ad7cffd3a.jpeg" onerror="onerror=null;src='/img/friend_404.gif'" alt="avatar"/></div><div class="sidebar-site-data site-data is-center"><a href="/archives/"><div class="headline">Articles</div><div class="length-num">16</div></a><a href="/tags/"><div class="headline">Tags</div><div class="length-num">2</div></a><a href="/categories/"><div class="headline">Categories</div><div class="length-num">0</div></a></div><hr class="custom-hr"/><div class="menus_items"><div class="menus_item"><a class="site-page" href="/"><i class="fa-fw fas fa-home"></i><span> 主页</span></a></div><div class="menus_item"><a class="site-page" href="/archives/"><i class="fa-fw fas fa-archive"></i><span> 时间轴</span></a></div><div class="menus_item"><a class="site-page" href="/tags/"><i class="fa-fw fas fa-tags"></i><span> 标签</span></a></div><div class="menus_item"><a class="site-page" href="/categories/"><i class="fa-fw fas fa-folder-open"></i><span> 分类</span></a></div><div class="menus_item"><a class="site-page group" href="javascript:void(0);"><i class="fa-fw fas fa-list"></i><span> 链接</span><i class="fas fa-chevron-down"></i></a><ul class="menus_item_child"><li><a class="site-page child" href="/link/"><i class="fa-fw fas fa-link"></i><span> 友情链接</span></a></li><li><a class="site-page child" href="/about/"><i class="fa-fw fas fa-heart"></i><span> 关于</span></a></li></ul></div></div></div></div><div class="page" id="body-wrap"><header class="full_page" id="page-header" style="background-image: url('https://s3.bmp.ovh/imgs/2022/10/15/0fd7b8845fc461a0.png')"><nav id="nav"><span id="blog-info"><a href="/" title="Jason的博客世界"><span class="site-name">Jason的博客世界</span></a></span><div id="menus"><div class="menus_items"><div class="menus_item"><a class="site-page" href="/"><i class="fa-fw fas fa-home"></i><span> 主页</span></a></div><div class="menus_item"><a class="site-page" href="/archives/"><i class="fa-fw fas fa-archive"></i><span> 时间轴</span></a></div><div class="menus_item"><a class="site-page" href="/tags/"><i class="fa-fw fas fa-tags"></i><span> 标签</span></a></div><div class="menus_item"><a class="site-page" href="/categories/"><i class="fa-fw fas fa-folder-open"></i><span> 分类</span></a></div><div class="menus_item"><a class="site-page group" href="javascript:void(0);"><i class="fa-fw fas fa-list"></i><span> 链接</span><i class="fas fa-chevron-down"></i></a><ul class="menus_item_child"><li><a class="site-page child" href="/link/"><i class="fa-fw fas fa-link"></i><span> 友情链接</span></a></li><li><a class="site-page child" href="/about/"><i class="fa-fw fas fa-heart"></i><span> 关于</span></a></li></ul></div></div><div id="toggle-menu"><a class="site-page" href="javascript:void(0);"><i class="fas fa-bars fa-fw"></i></a></div></div></nav><div id="site-info"><h1 id="site-title">Jason的博客世界</h1><div id="site-subtitle"><span id="subtitle"></span></div><div id="site_social_icons"><a class="social-icon" href="https://github.com/Jasonfengjx" target="_blank" title="Github"><i class="fab fa-github"></i></a><a class="social-icon" href="mailto:201900303043@mail.sdu.edu.cn" target="_blank" title="Email"><i class="fas fa-envelope"></i></a></div></div><div id="scroll-down"><i class="fas fa-angle-down scroll-down-effects"></i></div></header><main class="layout" id="content-inner"><div class="recent-posts" id="recent-posts"><div class="recent-post-item"><div class="post_cover left"><a href="/2024/01/20/yolov8%E4%BB%A3%E7%A0%81%E8%A7%A3%E8%AF%BB-%E6%95%B0%E6%8D%AE%E7%AF%87/" title="yolov8代码解读--数据篇"><img class="post-bg" src="https://pic.imgdb.cn/item/65379000c458853aef989ef0.png" onerror="this.onerror=null;this.src='/img/404.jpg'" alt="yolov8代码解读--数据篇"></a></div><div class="recent-post-info"><a class="article-title" href="/2024/01/20/yolov8%E4%BB%A3%E7%A0%81%E8%A7%A3%E8%AF%BB-%E6%95%B0%E6%8D%AE%E7%AF%87/" title="yolov8代码解读--数据篇">yolov8代码解读--数据篇</a><div class="article-meta-wrap"><span class="post-meta-date"><i class="far fa-calendar-alt"></i><span class="article-meta-label">Created</span><time datetime="2024-01-20T15:16:52.000Z" title="Created 2024-01-20 23:16:52">2024-01-20</time></span></div><div class="content">类继承关系ultralytics/data/base.py 有BaseDataset类，这个类是数据集处理的基类。
包括YOLODataset、SemanticDataset都继承这个类
基类方法分析get_img_files12345678910111213141516171819202122232425262728293031323334353637383940414243def get_img_files(self, img_path): """Read image files.""" # 定义一个名为get_img_files的方法，用于读取图像文件 try: f = [] # image files # 创建一个空列表f，用于存储找到的图像文件路径 # 下面的循环处理img_path，这可以是单个路径或路径列表 for p in img_path if isinstance(img_path, list) else [img_path]: ...</div></div></div><div class="recent-post-item"><div class="post_cover right"><a href="/2023/12/29/600%E6%9D%A1linux%E5%91%BD%E4%BB%A4/" title="600条linux命令"><img class="post-bg" src="https://pic.imgdb.cn/item/65379000c458853aef989ef0.png" onerror="this.onerror=null;this.src='/img/404.jpg'" alt="600条linux命令"></a></div><div class="recent-post-info"><a class="article-title" href="/2023/12/29/600%E6%9D%A1linux%E5%91%BD%E4%BB%A4/" title="600条linux命令">600条linux命令</a><div class="article-meta-wrap"><span class="post-meta-date"><i class="far fa-calendar-alt"></i><span class="article-meta-label">Created</span><time datetime="2023-12-29T08:55:21.000Z" title="Created 2023-12-29 16:55:21">2023-12-29</time></span></div><div class="content">1来源：https://blog.csdn.net/l1028386804/article/details/117917710
今天，带来一篇 Linux 命令总结的非常全的文章，也是我们平时工作中使用率非常高的操作命令，命令有点多，建议小伙伴们可以先收藏后阅读。
1. 基本命令123456789101112131415161718192021222324uname -m 显示机器的处理器架构uname -r 显示正在使用的内核版本dmidecode -q 显示硬件系统部件(SMBIOS / DMI) hdparm -i /dev/hda 罗列一个磁盘的架构特性hdparm -tT /dev/sda 在磁盘上执行测试性读取操作系统信息arch 显示机器的处理器架构uname -m 显示机器的处理器架构uname -r 显示正在使用的内核版本dmidecode -q 显示硬件系统部件 - (SMBIOS / DMI)hdparm -i /dev/hda 罗列一个磁盘的架构特性hdparm -tT /dev/sda 在磁盘上执行测试性读取操作cat /proc/cpuinfo 显示CPU ...</div></div></div><div class="recent-post-item"><div class="post_cover left"><a href="/2023/12/28/jason2023%E5%B9%B4%E7%BB%88%E6%80%BB%E7%BB%93/" title="jason2023年终总结"><img class="post-bg" src="https://pic.imgdb.cn/item/65379000c458853aef989ef0.png" onerror="this.onerror=null;this.src='/img/404.jpg'" alt="jason2023年终总结"></a></div><div class="recent-post-info"><a class="article-title" href="/2023/12/28/jason2023%E5%B9%B4%E7%BB%88%E6%80%BB%E7%BB%93/" title="jason2023年终总结">jason2023年终总结</a><div class="article-meta-wrap"><span class="post-meta-date"><i class="far fa-calendar-alt"></i><span class="article-meta-label">Created</span><time datetime="2023-12-28T13:36:17.000Z" title="Created 2023-12-28 21:36:17">2023-12-28</time></span></div><div class="content">科研
AI今年对深度学习有了一些理解，从之前的数据层面的增删、清洗等到模型搭建，今年已经可以完成有代码模型的轻易复现以及根据自己数据做调整，主要是理解到了data_loader的作用。对于pytorch和tf都有所涉猎，至少已经都用到了，具体精细化修改还是要继续研究。
模型层面，今年学了两种主要的模型，yolo系列和vae系列的模型，初步学会了搭建与复现、修改的方法。有时间我会更新yolo系列算法的改进。比如更换backbone、neck、head等，添加n2n的注意力机制等。但是对于模型的调优方面感觉还是要继续深入的学习。
对于loss的理解更深一层，首先基于一个事实就是我们的模型主要关注最终指标，这个指标可以是简单的ACC、Recall、AUC等，也可以是专业领域的index，但是我们要做的事把loss和index之间的联系找到。跟一个协和的网友聊天、探讨问题，非cs的同学主要可能没有理解最终index的重要，感觉这是一个理解的点，另一个就是在一个例子群项目中，loss其实比较玄学，有的时候只是有那个趋势的关系就会work，所以要多多尝试。具体比如vae中的JS loss可以进行多 ...</div></div></div><div class="recent-post-item"><div class="post_cover right"><a href="/2023/12/16/202312bug/" title="202312bug"><img class="post-bg" src="https://pic.imgdb.cn/item/65379000c458853aef989ef0.png" onerror="this.onerror=null;this.src='/img/404.jpg'" alt="202312bug"></a></div><div class="recent-post-info"><a class="article-title" href="/2023/12/16/202312bug/" title="202312bug">202312bug</a><div class="article-meta-wrap"><span class="post-meta-date"><i class="far fa-calendar-alt"></i><span class="article-meta-label">Created</span><time datetime="2023-12-16T13:04:50.000Z" title="Created 2023-12-16 21:04:50">2023-12-16</time></span></div><div class="content">cuda显存超界1torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.07 GiB (GPU 1; 23.65 GiB total capacity; 20.39 GiB already allocated; 2.77 GiB free; 20.42 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF
最一开始看不懂为什么已经分配而显卡上却没有进程在跑，后来直接认为它是一个显存超界的bug
RuntimeError: a Tensor with 6 elements cannot be converted to Scalar计算loss的时候不知道 ...</div></div></div><div class="recent-post-item"><div class="post_cover left"><a href="/2023/12/16/self-in-python-code/" title="self in python code"><img class="post-bg" src="https://pic.imgdb.cn/item/65379000c458853aef989ef0.png" onerror="this.onerror=null;this.src='/img/404.jpg'" alt="self in python code"></a></div><div class="recent-post-info"><a class="article-title" href="/2023/12/16/self-in-python-code/" title="self in python code">self in python code</a><div class="article-meta-wrap"><span class="post-meta-date"><i class="far fa-calendar-alt"></i><span class="article-meta-label">Created</span><time datetime="2023-12-16T12:59:18.000Z" title="Created 2023-12-16 20:59:18">2023-12-16</time></span></div><div class="content">由于对面向对象编程很长时间没有复习过，昨天写Dataloader的时候，有个方法没写好，原因是，类内方法调用的时候，需要调用有self的方法，但是我还没试下调用类外方法的事例。
1. self 关键字代表实例自身：在Python类的方法中，self 是一个指向实例本身的引用。
访问实例属性和方法：使用 self 来访问类的属性和其他方法。
在定义方法时必须：在类的实例方法定义中，self 必须作为第一个参数，代表调用该方法的对象实例。
2. 类内方法定义在类内部：这些方法定义在类的定义中。
访问方式：通过类的实例（使用 self）或者直接通过类名（对于静态方法和类方法）来访问。
可以访问类属性和方法：类内方法可以访问通过 self 的同一实例的其他方法和属性。
**自动传递 self**：当实例方法被调用时，实例本身自动作为第一个参数传递（即 self）。
3. 类外方法定义在类外部：这些是独立的函数，定义在类定义之外，通常在全局作用域中。
全局作用域：类外方法通常在其定义的模块的全局作用域中有效，如果是在不同模块，则需要导入。
4. 方法和函数的调用类内调用类外方法：类内的方法可以自 ...</div></div></div><div class="recent-post-item"><div class="post_cover right"><a href="/2023/11/03/python2310%E5%AD%A6%E4%B9%A0%E8%AE%B0%E5%BD%95/" title="python2310学习记录"><img class="post-bg" src="https://pic.imgdb.cn/item/6544dfc0c458853aef675af9.jpg" onerror="this.onerror=null;this.src='/img/404.jpg'" alt="python2310学习记录"></a></div><div class="recent-post-info"><a class="article-title" href="/2023/11/03/python2310%E5%AD%A6%E4%B9%A0%E8%AE%B0%E5%BD%95/" title="python2310学习记录">python2310学习记录</a><div class="article-meta-wrap"><span class="post-meta-date"><i class="far fa-calendar-alt"></i><span class="article-meta-label">Created</span><time datetime="2023-11-03T11:50:19.000Z" title="Created 2023-11-03 19:50:19">2023-11-03</time></span></div><div class="content">1 subprocess模块subprocess是Python的一个标准库模块，它允许你从Python代码中启动新的应用程序或命令，与它们交互并获取它们的输出。这个模块提供了一个简单而一致的接口来替代旧的模块和函数，如os.system()、os.spawn*()等。
主要功能：
启动新进程：你可以使用subprocess来启动新的系统命令或应用程序。
与进程交互：你可以发送输入到进程，并从进程中读取输出。
等待进程完成：你可以等待进程完成，并获取其返回码。
主要函数和类：
**subprocess.run()**：从Python 3.5开始，这是执行子进程并等待其完成的推荐方法。
**subprocess.call()**：运行命令，等待它完成，然后返回返回码。
**subprocess.check_call()**：与call()类似，但如果命令返回非零值，则会引发异常。
**subprocess.check_output()**：运行命令并返回其输出。如果命令返回非零值，则会引发异常。
**subprocess.Popen()**：这是一个更强大的类，允许你启动并与子进程交互。 ...</div></div></div><div class="recent-post-item"><div class="post_cover left"><a href="/2023/10/23/prompt%E5%B7%A5%E7%A8%8B/" title="prompt工程"><img class="post-bg" src="https://pic.imgdb.cn/item/65379c28c458853aefb44be1.png" onerror="this.onerror=null;this.src='/img/404.jpg'" alt="prompt工程"></a></div><div class="recent-post-info"><a class="article-title" href="/2023/10/23/prompt%E5%B7%A5%E7%A8%8B/" title="prompt工程">prompt工程</a><div class="article-meta-wrap"><span class="post-meta-date"><i class="far fa-calendar-alt"></i><span class="article-meta-label">Created</span><time datetime="2023-10-23T09:26:37.000Z" title="Created 2023-10-23 17:26:37">2023-10-23</time></span></div><div class="content">前沿今年，ChatGPT等大型模型在各个领域展示了其广泛的应用前景，显示出了惊人的潜能。值得注意的是，prompt的设计和质量对模型输出的效果有着重要影响。回想起GPT-3.5初次亮相时，其功能尚不如现在之丰富。而今，GPT-4带来了三大亮点：首先，它可以提供更为详尽的文本回答；其次，它具备了基于爬虫技术的网页浏览功能；最后，它还新增了绘图功能，成为一款真正的多模态模型。接下来，我将为大家列举几个实用且有趣的ChatGPT prompt示例。
效率提升prompt1. Write Multithreaded Functions 14. 编写多线程函数
Prompt: I want you to act as a coder. Can you help me parallelize this code across threads in Python?提示：我希望你充当编码员。你能帮我在 Python 中的线程中跨线程并行化这段代码吗？
2. Write Documentation 28. 编写文档Credit: @svpino 信用：@svpino
Prompt: I want y ...</div></div></div><div class="recent-post-item"><div class="post_cover right"><a href="/2023/10/13/%E6%95%B0%E6%8D%AE%E5%A4%84%E7%90%86%E4%B8%8E%E5%8F%AF%E8%A7%86%E5%8C%96%E4%BB%A3%E7%A0%81/" title="数据处理与可视化代码"><img class="post-bg" src="https://pic.imgdb.cn/item/65379000c458853aef989ef0.png" onerror="this.onerror=null;this.src='/img/404.jpg'" alt="数据处理与可视化代码"></a></div><div class="recent-post-info"><a class="article-title" href="/2023/10/13/%E6%95%B0%E6%8D%AE%E5%A4%84%E7%90%86%E4%B8%8E%E5%8F%AF%E8%A7%86%E5%8C%96%E4%BB%A3%E7%A0%81/" title="数据处理与可视化代码">数据处理与可视化代码</a><div class="article-meta-wrap"><span class="post-meta-date"><i class="far fa-calendar-alt"></i><span class="article-meta-label">Created</span><time datetime="2023-10-13T13:19:12.000Z" title="Created 2023-10-13 21:19:12">2023-10-13</time></span></div><div class="content">项目介绍一个数据分析项目，所使用的代码都是普通代码，没有技术含量，chatgpt可以无痛做到，本文在此只提供和总结一下分析数据的基本思路。
代码与释义数据爬虫从互联网获取数据当然是要从爬虫开始，使用python可以很轻松的写出一个可用的爬虫。本文以某网站为例，合法爬取部分数据用于学习交流。
引入库包以及文件路径
123456789101112131415161718import requests import pprintimport csvimport timekeyword = 'eye'f = open('./data/'+keyword+'.csv', mode='a', encoding='utf-8', newline='')csv_writer = csv.DictWriter(f, fieldnames=[ '标题', '品牌', '原价', '折扣&#x ...</div></div></div><div class="recent-post-item"><div class="post_cover left"><a href="/2023/10/11/Python%E7%BB%98%E5%88%B6Venn%E5%9B%BE/" title="Python绘制Venn图"><img class="post-bg" src="https://pic.imgdb.cn/item/65379000c458853aef989ef0.png" onerror="this.onerror=null;this.src='/img/404.jpg'" alt="Python绘制Venn图"></a></div><div class="recent-post-info"><a class="article-title" href="/2023/10/11/Python%E7%BB%98%E5%88%B6Venn%E5%9B%BE/" title="Python绘制Venn图">Python绘制Venn图</a><div class="article-meta-wrap"><span class="post-meta-date"><i class="far fa-calendar-alt"></i><span class="article-meta-label">Created</span><time datetime="2023-10-11T10:16:24.000Z" title="Created 2023-10-11 18:16:24">2023-10-11</time></span></div><div class="content">Python绘制Venn图pyvenn这里介绍一个使用python绘制Venn图的方法，常见的绘制Venn图有两种方法，本文介绍第二种，它提供了2-6个子集时的Venn图绘制方法。
下面是demo：
12345678910111213141516171819202122232425262728293031import matplotlibmatplotlib.use('Agg')import matplotlib.pyplot as pltimport vennlabels = venn.get_labels([range(10), range(5, 15)], fill=['number', 'logic'])fig, ax = venn.venn2(labels, names=['list 1', 'list 2'])fig.savefig('betterpyvenn/images/venn2.png', bbox_inches='tight' ...</div></div></div><div class="recent-post-item"><div class="post_cover right"><a href="/2023/10/08/deprecated-and-remove/" title="deprecated and remove"><img class="post-bg" src="https://pic.imgdb.cn/item/65379000c458853aef989ef0.png" onerror="this.onerror=null;this.src='/img/404.jpg'" alt="deprecated and remove"></a></div><div class="recent-post-info"><a class="article-title" href="/2023/10/08/deprecated-and-remove/" title="deprecated and remove">deprecated and remove</a><div class="article-meta-wrap"><span class="post-meta-date"><i class="far fa-calendar-alt"></i><span class="article-meta-label">Created</span><time datetime="2023-10-08T11:09:09.000Z" title="Created 2023-10-08 19:09:09">2023-10-08</time></span></div><div class="content">经过1234AttributeError: module 'numpy' has no attribute 'int'.`np.int` was a deprecated alias for the builtin `int`. To avoid this error in existing code, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.The aliases was originally deprecated in NumPy 1.20; for ...</div></div></div><nav id="pagination"><div class="pagination"><span class="page-number current">1</span><a class="page-number" href="/page/2/#content-inner">2</a><a class="extend next" rel="next" href="/page/2/#content-inner"><i class="fas fa-chevron-right fa-fw"></i></a></div></nav></div><div class="aside-content" id="aside-content"><div class="card-widget card-info"><div class="is-center"><div class="avatar-img"><img src="https://s3.bmp.ovh/imgs/2022/10/15/8da5bc3ad7cffd3a.jpeg" onerror="this.onerror=null;this.src='/img/friend_404.gif'" alt="avatar"/></div><div class="author-info__name">Jason</div><div class="author-info__description">涸辙之鲋，旦暮成枯；人而无志，与彼何殊。</div></div><div class="card-info-data site-data is-center"><a href="/archives/"><div class="headline">Articles</div><div class="length-num">16</div></a><a href="/tags/"><div class="headline">Tags</div><div class="length-num">2</div></a><a href="/categories/"><div class="headline">Categories</div><div class="length-num">0</div></a></div><a id="card-info-btn" target="_blank" rel="noopener" href="https://github.com/Jasonfengjx"><i class="fab fa-github"></i><span>Follow Me</span></a><div class="card-info-social-icons is-center"><a class="social-icon" href="https://github.com/Jasonfengjx" target="_blank" title="Github"><i class="fab fa-github"></i></a><a class="social-icon" href="mailto:201900303043@mail.sdu.edu.cn" target="_blank" title="Email"><i class="fas fa-envelope"></i></a></div></div><div class="card-widget card-announcement"><div class="item-headline"><i class="fas fa-bullhorn fa-shake"></i><span>Announcement</span></div><div class="announcement_content">欢迎来到Jason的博客世界</div></div><div class="sticky_layout"><div class="card-widget card-recent-post"><div class="item-headline"><i class="fas fa-history"></i><span>Recent Post</span></div><div class="aside-list"><div class="aside-list-item"><a class="thumbnail" href="/2024/01/20/yolov8%E4%BB%A3%E7%A0%81%E8%A7%A3%E8%AF%BB-%E6%95%B0%E6%8D%AE%E7%AF%87/" title="yolov8代码解读--数据篇"><img src="https://pic.imgdb.cn/item/65379000c458853aef989ef0.png" onerror="this.onerror=null;this.src='/img/404.jpg'" alt="yolov8代码解读--数据篇"/></a><div class="content"><a class="title" href="/2024/01/20/yolov8%E4%BB%A3%E7%A0%81%E8%A7%A3%E8%AF%BB-%E6%95%B0%E6%8D%AE%E7%AF%87/" title="yolov8代码解读--数据篇">yolov8代码解读--数据篇</a><time datetime="2024-01-20T15:16:52.000Z" title="Created 2024-01-20 23:16:52">2024-01-20</time></div></div><div class="aside-list-item"><a class="thumbnail" href="/2023/12/29/600%E6%9D%A1linux%E5%91%BD%E4%BB%A4/" title="600条linux命令"><img src="https://pic.imgdb.cn/item/65379000c458853aef989ef0.png" onerror="this.onerror=null;this.src='/img/404.jpg'" alt="600条linux命令"/></a><div class="content"><a class="title" href="/2023/12/29/600%E6%9D%A1linux%E5%91%BD%E4%BB%A4/" title="600条linux命令">600条linux命令</a><time datetime="2023-12-29T08:55:21.000Z" title="Created 2023-12-29 16:55:21">2023-12-29</time></div></div><div class="aside-list-item"><a class="thumbnail" href="/2023/12/28/jason2023%E5%B9%B4%E7%BB%88%E6%80%BB%E7%BB%93/" title="jason2023年终总结"><img src="https://pic.imgdb.cn/item/65379000c458853aef989ef0.png" onerror="this.onerror=null;this.src='/img/404.jpg'" alt="jason2023年终总结"/></a><div class="content"><a class="title" href="/2023/12/28/jason2023%E5%B9%B4%E7%BB%88%E6%80%BB%E7%BB%93/" title="jason2023年终总结">jason2023年终总结</a><time datetime="2023-12-28T13:36:17.000Z" title="Created 2023-12-28 21:36:17">2023-12-28</time></div></div><div class="aside-list-item"><a class="thumbnail" href="/2023/12/16/202312bug/" title="202312bug"><img src="https://pic.imgdb.cn/item/65379000c458853aef989ef0.png" onerror="this.onerror=null;this.src='/img/404.jpg'" alt="202312bug"/></a><div class="content"><a class="title" href="/2023/12/16/202312bug/" title="202312bug">202312bug</a><time datetime="2023-12-16T13:04:50.000Z" title="Created 2023-12-16 21:04:50">2023-12-16</time></div></div><div class="aside-list-item"><a class="thumbnail" href="/2023/12/16/self-in-python-code/" title="self in python code"><img src="https://pic.imgdb.cn/item/65379000c458853aef989ef0.png" onerror="this.onerror=null;this.src='/img/404.jpg'" alt="self in python code"/></a><div class="content"><a class="title" href="/2023/12/16/self-in-python-code/" title="self in python code">self in python code</a><time datetime="2023-12-16T12:59:18.000Z" title="Created 2023-12-16 20:59:18">2023-12-16</time></div></div></div></div><div class="card-widget card-tags"><div class="item-headline"><i class="fas fa-tags"></i><span>Tags</span></div><div class="card-tag-cloud"><a href="/tags/%E5%B7%A5%E7%A8%8B/" style="font-size: 1.1em; 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