I guess you can also prefill result[i]=i and then apply fizzbuzz mask to avoid addition altogether

Oh, wait, the original code receives input array while above loops from zero to n which is something else.

> Over many years of experimentation, it was found that if the U in RNA is replaced by a slightly modified molecule, our immune system loses interest. For real.

Countdown to see this in vivo. For real.

The author may have added this in after publishing:

> Many people have asked, could viruses also use the Ψ technique to beat our immune systems? In short, this is extremely unlikely. Life simply does not have the machinery to build 1-methyl-3’-pseudouridylyl nucleotides. Viruses rely on the machinery of life to reproduce themselves, and this facility is simply not there. The mRNA vaccines quickly degrade in the human body, and there is no possibility of the Ψ-modified RNA replicating with the Ψ still in there.

maybe there's a reason why it can't be exploited easily in nature? It looks too obvious.

Делу-время, потехе-час

Green threads I suppose

"pravdosek"

Did you mean "pravdorub"?

robot will clean everyday as vacuums already do

You don't pull JWKS on every request

As you sort by first field anyway, could you please try out omitting field split (-t, -k1)? For me it gives a noticeable improvement:

$ stat --printf="%s\n" p.csv

1258291200

$ time sort -t, -k1 -S100% -o sorted.csv p.csv

real 0m50,186s user 4m6,962s sys 0m4,562s

$ time sort -o sorted.csv p.csv

real 0m43,483s user 3m36,473s sys 0m4,282s

Full line comparison would probably use memcmp that bails out on first non matching character while field-splitting overhead might be significant.

Exact same file has been taking more than 35 minutes to sort already, so it's slower without splitting.

Edit: it finished!

real 35m28.370s

user 40m17.129s

sys 4m31.081s

Where did you find the dataset, or did you construct your own?

It's a dataset related to balance changes of bitcoin addresses downsampled to daily resolution.

You could extract it from BigQuery's bitcoin public data.

The author is Vincent Racaniello Ph.D., Professor of Microbiology & Immunology in the College of Physicians and Surgeons of Columbia University(https://www.virology.ws/about/)

I absolutely recommend his virology lectures https://youtu.be/lj3NhPgOoX4

In addition, he is possibly the most prolific podcaster of our time. He's started no less than 6 different podcasts over the last decade or so, collectively known as the TWIx podcasts (This Week in Virology/Microbiology/Parasitology/etc. I'm a huge fan of TWIV, but they're all top-notch.

https://www.microbe.tv/

Next step is to build speaker model on device and send it to peer during call setup