[ITmedia PC USER] GIGABYTE、AMD B550チップセットを採用したエントリーmicroATXマザーボード

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These times might sometimes differ substantially - it is because for some test cases, there is a need to fetch existing data from DB in order to construct test queries. Duration of these additional queries is subtracted from the total test duration: Queries duration = Total test duration - Additional queries duration. Otherwise they would skew results, adding time where it should not be counted.

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产业热度迅速外溢到资本市场。魔法原子联合创始人顾诗韬透露,公司最快可能在2026年在二级市场有新消息,正按照最快速度排上市时间表。已完成股改的乐聚智能和云深处科技也已正式启动上市流程。

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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.