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Since it is pretty hard for new player to catch up.
What if.
More professions player knew, the less efficient he would be at each of them.
Meaning, if he only focused on one thing, for example wood…
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Make multi-threading effective again.
See if it can be used for temporal compounding in sensorimotor inference, which likely would bring the biggest performance gain.
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### Aircraft Version
Experimental
### Build info
```json
{
"built": "2022-01-17T08:02:53+00:00",
"ref": "experimental",
"sha": "618cd97ca856495286ada3fc04cc3dd69b881601",
"actor": "agut…
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I was doing some automation, but I noticed that with make beer x50, it take a lot of materials, but since they will keep in loop, only at borders will get it(since the math of like 5 tiles), so there …
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The code I wrote to extract the moisture from multiple files (SMOStif) takes about three minutes to run with the large dataset of 100,000 timestamps. Finding a way to reduce this runtime would be desi…
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Hi @ptrus ,
Very good python package. Congratulations!
I have the next problem:
I need to use Generalized Suffix Trees (k-lcs problem) with 2000 inputs and very big strings. I can work witho…
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I looked through the API, and I don't see a direct endpoint for efficiency, but it would be nice to have a record of that on the dashboard. I'm guessing it could be calculated by comparing change in t…
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The current implementation of fibersearch is very inefficient, basically checking
a large number of orientations on each fiber (as I understand it) to determine whether
the orientaton would produce sp…
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The script takes almost 1-2 minutes to execute.
It is considerable time considering the fact that we are only manipulating strings.
No media or image handling is done.
In my opinion `sub`, `arr` or `…
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Some larger puzzles stall on each iteration. Consider improvements to efficiency, including compiling at -O3 and caching line possibilities (high memory?). Also consider checking if a line is solved a…