Open ursi opened 1 day ago
We may have to try out implementing a suggestion before we can evaluate it.
The algorithm is here, in case you want to try that: https://github.com/NorfairKing/bevel/blob/f15848bdae26e6846b9856beed648e47908a1383/bevel-select/src/main.rs#L404
One thing that annoys me about the current algorithm is that sometimes it prioritizes better matches over more recently used things. I assume this is because we're using a fuzzy finder to match things, and we need to strike a balance somewhere between how much something matches and how frequently it is used. I think we would see improvements if we did a first pass treating all commands that contain your text as a substring as equally matching, and weighted them by frequency only, and then used the fuzzy finder on a second pass.
Example: there is a command I have been using in a project recently called
make ghciwatch
. When I typewatch
into bevel, I get:despite
make ghciwatch
being the clear recency winner. I can get better results with ^h, but I'd prefer to keep the ^r muscle memory.