Available for over a year
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.，更多细节参见WPS下载最新地址
，详情可参考safew官方版本下载
目前，3 款模型均已在魔搭社区、Hugging Face 开源上线，同时，我们还一并开源了 Qwen3.5-35B-A3B-Base 基座模型。
// console.log(nextGreaterElements([1,2,1])); // [2,-1,2]（循环场景），详情可参考heLLoword翻译官方下载
Afghanistan’s Taliban says open to talks after Pakistan bombs major cities