Legal move filtering works by making each pseudo-legal move on the board, checking if the king is attacked, then unmaking the move. Castling gets special treatment: three squares must be checked (the king’s origin, transit square, and destination) since the king cannot castle out of, through, or into check:
由英国财政部、英格兰银行、金融行为监管局(FCA)和支付系统监管局(PSR)组成的英国支付愿景执行委员会正式发布《支付前瞻计划》报告。该计划阐述了零售和批发支付领域即将推出的监管举措,涉及数字资产的相关内容。近期发布的关于开放银行、稳定币和非接触支付限额的文件,连同本次计划中的各项举措,共同表明英国支付行业正处于政策高度活跃期。计划列出了落实政府“国家支付愿景”的具体行动,该愿景旨在建立一个以新一代技术为基础、值得信赖且全球领先的支付生态系统,为消费者和企业提供多样化的支付方式选择。执行委员会表示,将持续评估监管对企业的综合影响,并支持竞争、创新和经济增长。展望未来,委员会已同意在2027年首次发布的“监管举措清单”中,进一步加强对支付领域的关注。
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Совет экспертов Ирана 8 марта достиг консенсуса в выборе нового верховного лидера Исламской республики.
,推荐阅读新收录的资料获取更多信息
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Abstract:Large language model (LLM)-powered agents have demonstrated strong capabilities in automating software engineering tasks such as static bug fixing, as evidenced by benchmarks like SWE-bench. However, in the real world, the development of mature software is typically predicated on complex requirement changes and long-term feature iterations -- a process that static, one-shot repair paradigms fail to capture. To bridge this gap, we propose \textbf{SWE-CI}, the first repository-level benchmark built upon the Continuous Integration loop, aiming to shift the evaluation paradigm for code generation from static, short-term \textit{functional correctness} toward dynamic, long-term \textit{maintainability}. The benchmark comprises 100 tasks, each corresponding on average to an evolution history spanning 233 days and 71 consecutive commits in a real-world code repository. SWE-CI requires agents to systematically resolve these tasks through dozens of rounds of analysis and coding iterations. SWE-CI provides valuable insights into how well agents can sustain code quality throughout long-term evolution.,推荐阅读新收录的资料获取更多信息