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随着互联网技术的飞速发展，开源软件在全球范围内得到了广泛的关注和应用。在中国，开源社区也日益壮大，涌现出了许多优秀的开源项目。其中，JavaparserHD项目便是其中一颗璀璨的明珠，它不仅为中国开发者提供了强大的Java代码解析能力，还推动了国内开源生态的繁荣。 JavaparserHD是一个基于Java语言的代码解析库，它能够将Java源代码解析成抽象语法树（AST），从而方便开发者进行代码分析、重构和生成等操作。该项目的核心库Javaparser源自美国，经过中国开发者团队的本土化改造，形成了JavaparserHD，使其更适合中国开发者使用。 JavaparserHD项目始于2016年，由一群热爱开源的Java开发者发起。他们希望通过这个项目，为国内开发者提供一款功能强大、易于使用的Java代码解析工具。经过几年的发展，JavaparserHD已经成为了国内Java开源社区的重要成员，吸引了众多开发者参与其中。 在JavaparserHD的发展过程中，中国开源社区发挥了重要作用。首先，JavaparserHD的源代码完全开源，开发者可以自由地下载、修改和分发。这种开放性使得项目能够吸引更多的开发者参与，共同推动项目的进步。其次，JavaparserHD的团队成员来自全国各地，他们通过线上交流、协作，共同解决项目中的问题，展现了我国开源社区的团结与活力。 JavaparserHD在代码解析方面具有以下特点： 1. 高效：JavaparserHD采用了高效的解析算法，能够快速地将Java源代码转换为AST，提高开发效率。 2. 全面：JavaparserHD支持Java 8及以上版本的语法，覆盖了Java编程语言的大部分特性，满足开发者多样化的需求。 3. 易用：JavaparserHD提供了丰富的API接口，方便开发者进行代码分析、重构和生成等操作。 4. 可扩展：JavaparserHD支持插件机制，开发者可以根据自己的需求扩展项目功能。 JavaparserHD的成功，离不开中国开源社区的共同努力。以下是一些值得关注的贡献： 1. 技术交流：JavaparserHD团队成员积极参与国内外技术交流活动，分享项目经验，促进技术交流。 2. 案例分享：开发者们通过撰写博客、发表文章等形式，分享使用JavaparserHD进行项目开发的案例，为其他开发者提供借鉴。 3. 社区建设：JavaparserHD团队致力于打造一个活跃的社区，鼓励开发者参与项目，共同推动项目发展。 4. 贡献代码：众多开发者向JavaparserHD项目贡献了代码，提高了项目的质量和稳定性。 总之，JavaparserHD作为中国开源社区的璀璨明珠，不仅为开发者提供了强大的代码解析能力，还推动了国内开源生态的繁荣。在未来的发展中，JavaparserHD将继续秉持开源精神，为我国软件开发事业贡献力量。

TMTPOST --   Chinese telecommunications giant Huawei unveiled a sweeping expansion of its artificial intelligence computing ambitions on Thursday, announcing new supercomputing systems powered by its in-house Ascend chips. The move signals escalating competition with U.S. chipmaker Nvidia, the global leader in AI processors.AI-generated imageAt its annual Huawei Connect conference in Shanghai, the company introduced the forthcoming "Atlas 950 SuperCluster," which it said will begin rolling out as early as next year. The announcement underscores Huawei ’ s determination to challenge U.S. dominance in advanced AI hardware despite Washington ’ s tightening export controls on semiconductors."The competition has undeniably arrived and is gaining momentum," an Nvidia spokesperson said. "Customers will choose the best technology stack for running the world ’ s most popular commercial applications and open-source models."U.S. restrictions have cut China off from the most advanced chips needed to train large-scale AI models, forcing Chinese firms to rely on domestically developed processors or stockpiles of older foreign components. Huawei, long targeted by U.S. sanctions, has turned to large-scale clustering of its less powerful but increasingly refined Ascend processors. By combining vast numbers of these chips in interconnected networks, the company aims to match or surpass the performance of systems built on Nvidia ’ s hardware.Huawei said it plans to release three new versions of its Ascend chips through 2028, pledging to double computing power with each iteration. At the base level, its new Atlas 950 supernode will connect 8,192 Ascend chips. A full Atlas 950 SuperCluster would integrate more than 500,000 chips.A future upgrade, the Atlas 960 system slated for 2027, is projected to support nearly 15,500 chips per node and scale to more than 1 million Ascend processors across a full supercluster. Huawei claimed these would represent the world ’ s most powerful AI systems by raw computing power.Huawei did not shy away from comparisons with its American rival. Eric Xu, the company ’ s vice chairman and rotating chairman, said the Atlas 950 supernode would deliver 6.7 times more computing power than Nvidia ’ s upcoming NVL144 system. He went further, predicting Huawei would "be ahead on all fronts" compared with Nvidia ’ s 2027 offering — and claimed the Atlas 950 SuperCluster would even exceed the computing capacity of Elon Musk ’ s xAI Colossus project.While independent verification of Huawei ’ s claims is limited, industry experts said the company ’ s ambition is clear."Huawei ’ s announcement on its computing breakthrough is well timed with recent increasing emphasis by the Chinese government on self-reliance on China ’ s own chip technologies," said George Chen, partner and co-chair of the digital practice at The Asia Group. While noting that Huawei might be overstating its technical edge, he added, "the ambition to be a world AI leader cannot be underestimated."Research from SemiAnalysis earlier this year found that Huawei ’ s CloudMatrix system outperformed Nvidia ’ s equivalent despite each Ascend processor offering only about one-third the power of an Nvidia chip. The advantage came from scale: Huawei deployed roughly five times as many chips in its clusters."Computing power has and will continue to be the key for AI," Xu emphasized during his keynote speech in Shanghai.Huawei ’ s new announcements build on earlier efforts. Two years ago, it introduced the Atlas 900 SuperCluster, which it still markets with "thousands" of Ascend chips. On Thursday, the company said it had already deployed more than 300 Atlas 900 A3 supernodes to over 20 clients across telecoms, manufacturing, and other sectors.This momentum reflects a broader push within China to substitute foreign technology with homegrown alternatives. Beijing has increasingly pressed domestic firms to use local suppliers and invest in national semiconductor capabilities. Huawei ’ s breakthroughs are likely to be touted as proof of progress in these efforts.Huawei ’ s offensive comes as Nvidia faces growing headwinds in China, once one of its most important markets. Earlier this week, China extended an antitrust probe into the U.S. company over alleged monopolistic practices. On Wednesday, Nvidia ’ s shares fell more than 2% after the Financial Times reported that Beijing had ordered Chinese tech giants to halt testing and purchases of the RTX Pro 6000D, one of Nvidia ’ s new AI-focused chips.Nvidia Chief Executive Jensen Huang expressed frustration over the developments. "I am disappointed to hear this news," he told reporters, while reiterating that Huawei represents a "formidable" competitor.The geopolitical context adds another layer of complexity. The U.S. and China concluded trade talks in Spain this week that reportedly included discussions over the fate of TikTok, the video app owned by Beijing-based ByteDance. But technology co