The quality of the Dreamie's sound is what initially sold me during my demo at CES, and it holds up in daily use. The Dreamie has a 50 millimeter speaker inside, and the 360-degree grille on the bottom of the device makes it so the sound seems to come from everywhere. (My cats were extremely confused when I first turned it on). It really fills a room, and you don't have to crank it up to achieve that. When Bedtime Cue comes on, I typically turn it down to about 25, and then raise it back up to 45 when I flip it to Wind Down mode. I've never once set it higher than 50, and the alarm in the morning has still been loud enough to wake me up.
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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