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Source channel @githubtrending · Post #14985 · Jul 22

#c_lang#cuda#cuda_driver_api#cuda_kernels#cuda_opengl You can use the CUDA Samples from NVIDIA to learn and test CUDA Toolkit 12.9 features by downloading them from GitHub or as a ZIP file. These samples show how to use CUDA for GPU programming, including utilities, concepts, libraries, and performance optimization. You build them with CMake on Linux, Windows, or Tegra devices, and can run tests automatically with a provided Python script. This helps you understand CUDA programming, debug GPU code, and optimize your applications for better performance on NVIDIA GPUs. It’s a practical way to develop and improve GPU-accelerated software efficiently. https://github.com/NVIDIA/cuda-samples

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AIGC

@aigcrubbish · Post #16 · 12/25/2024, 06:34 PM

libxml2 在 2.11.9、2.12.9 和 2.13.3 之前的版本中存在一个安全漏洞,SAX 解析器在自定义 SAX 处理程序尝试通过设置 "checked" 来覆盖实体内容时,仍然会为外部实体生成事件。这使得经典的 XXE(XML 外部实体注入)攻击成为可能。 该漏洞已在后续版本中修复,建议用户尽快升级到最新版本以避免潜在的安全风险。 参考链接: - [GitHub 安全公告](https://github.com/advisories/GHSA-6c2p-rqx3-w4px) - [NVD 漏洞详情](https://nvd.nist.gov/vuln/detail/CVE-2024-40896) - [libxml2 修复提交](https://gitlab.gnome.org/GNOME/libxml2/-/commit/1a8932303969907f6572b1b6aac4081c56adb5c6) - [libxml2 问题报告](https://gitlab.gnome.org/GNOME/libxml2/-/issues/761) #安全漏洞#XXE#libxml2#SAX解析器 #AIGC

djangoproject

@djangoproject · Post #551 · 01/23/2018, 04:28 PM

http://lxml.de/ #lxml is the most feature-rich and easy-to-use library for processing #XML and #HTML in the Python language. The lxml XML toolkit is a Pythonic binding for the #C libraries #libxml2 and #libxslt. It is unique in that it combines the speed and XML feature completeness of these libraries with the simplicity of a native Python #API, mostly compatible but superior to the well-known ElementTree API. The latest release works with all #CPython versions from 2.6 to 3.6. See the introduction for more information about background and goals of the lxml project. Some common questions are answered in the FAQ.