This combination – localized Dijkstra, super-fast abstract graph traversal, and highly localized A* refinement – is what delivers the 100x speedup.
Around this time, my coworkers were pushing GitHub Copilot within Visual Studio Code as a coding aid, particularly around then-new Claude Sonnet 4.5. For my data science work, Sonnet 4.5 in Copilot was not helpful and tended to create overly verbose Jupyter Notebooks so I was not impressed. However, in November, Google then released Nano Banana Pro which necessitated an immediate update to gemimg for compatibility with the model. After experimenting with Nano Banana Pro, I discovered that the model can create images with arbitrary grids (e.g. 2x2, 3x2) as an extremely practical workflow, so I quickly wrote a spec to implement support and also slice each subimage out of it to save individually. I knew this workflow is relatively simple-but-tedious to implement using Pillow shenanigans, so I felt safe enough to ask Copilot to Create a grid.py file that implements the Grid class as described in issue #15, and it did just that although with some errors in areas not mentioned in the spec (e.g. mixing row/column order) but they were easily fixed with more specific prompting. Even accounting for handling errors, that’s enough of a material productivity gain to be more optimistic of agent capabilities, but not nearly enough to become an AI hypester.
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63-летняя Деми Мур вышла в свет с неожиданной стрижкой17:54，推荐阅读快连下载安装获取更多信息
动力方面，全新轩逸继续搭载 1.6L 自然吸气发动机，最大功率为 99 千瓦（135 马力），峰值扭矩 159 牛·米，传动系统匹配 CVT 无级变速箱，这套动力总成主打经济平顺，WLTC 工况下百公里综合油耗仅为 5.88L。底盘部分依旧采用前麦弗逊式独立悬架与后扭力梁式非独立悬架的经典组合。