![](https://lemm.ee/pictrs/image/a614d197-4df4-4e74-8161-b5714ce2254c.webp)
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The company didn’t abandon, Microsoft bought them out indirectly and killed the competition. Nothing to see here.
The company didn’t abandon, Microsoft bought them out indirectly and killed the competition. Nothing to see here.
keep mum about energy use
Whose mum?
Sometime HSP just stopped working so now I have to do calls with my laptop built-in mic.
Also, some programs like Zoom just fail to use the right output device no matter what I choose in settings. I just have to make headphones the fallback device for anything to work.
But the most annoying thing is Linux somehow stealing the playback when my headphones are connected to multiple devices. Even when nothing plays on the computer but does play on the phone, there’s no audio. I have to disable/disconnect my computer to use headphones with phone when my computer is in range.
Visit takeout.google.com and select Google Podcasts to export your Google Podcasts data in OPML format.
I wonder when that became a thing. I migrated at the beginning of the year and had to manually add all subscriptions because Google Podcasts had no way of exporting anything.
I guess someone made a GDPR complaint.
Turns out Lemmy isn’t better at understanding sarcasm than Reddit lol.
Because Rust is better, hurr-durr.
It’s just an unfair comparison. The Firefox app includes a whole browser engine while this one just uses an engine built into Android itself.
Doesn’t it just rely on the Android built-in WebView?
Yeah, titlegore material.
In golf it can be used without preposition but also without object, and with completely unrelated meaning.
So it has the intended effect.
Log files themselves don’t, but I’m just comparing it with simpler files with simpler structure with simpler algorithms with better complexity.
It’s not necessarily about the load, it’s about the algorithmic complexity. Going from lists (lines in a file, characters in a line) to trees introduces a potentially exponential increase in complexity due to the number of ways the same list of elements can be organized into a tree.
Also, you’re underestimating the amount of processing. It’s not about pure CPU computations but RAM access or even I/O. Even existing non-semantic diff implementations are unexpectedly inadequate in terms of performance. You clearly haven’t tried diffing multi-GB log files.
How do you expect it to be shown though?
Because text is text and all }
are the same.
Diffing algorithms on trees might not be as efficient, especially if they have to find arbitrary node moves.
Clearly not enough active ones for each and every project out there.
Most translations are contributed by external users for languages that the project developers don’t speak themselves, so they can’t always check everything unless there’s multiple active translators for one language.
Assuming that it’s just that person, that it’s their actual name and that they’re in the US…