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It completed the assignment in one-shot, accounting for all of the many feature constraints specified. The “Python Jupyter Notebook” notebook command at the end is how I manually tested whether the pyo3 bridge worked, and it indeed worked like a charm. There was one mistake that’s my fault however: I naively chose the fontdue Rust crate as the renderer because I remember seeing a benchmark showing it was the fastest at text rendering. However, testing large icon generation exposed a flaw: fontdue achieves its speed by only partially rendering curves, which is a very big problem for icons, so I followed up:
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夜总会题材最容易踩的坑,是把女性当作欲望的符号,或者当作男性世界的奖品与背景。显然,这种书写方式无法回应现实,尽管它几乎是过去的惯用模式。《夜王》在这一点上做了关键调整:女性角色被放回“行业结构”中,而不是被放在“男性目光”里。影片中的女性不再只是被观看者,而是规则的理解者、执行者与承受者。
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