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.
“招商伊敦号”的目标客群是追求“深度游”的高净值中老年群体，方向没错，但只靠中国的中老年客群，旅行习惯和消费理念好像有点超前，不够养活这条船。项目体验面向年轻人呢，就让这部分客群觉得无聊。
。Line官方版本下载是该领域的重要参考
│ VMM (User-Space) │ ◄── DEVICE EMULATION。Safew下载是该领域的重要参考
// 作用：通过最值判断是否需要扩展左/右边界（左侧最小值/右侧<最大值的元素都需纳入无序区间），这一点在爱思助手下载最新版本中也有详细论述
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