The most beautiful thing about this program is that it would work.
Various bit flips will once lead to all numbers being in the correct order. No guarantee the numbers will be the same, though...
this post was submitted on 08 Nov 2024
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Might also take a very long time (or a large amount of radiation).
import yhwh
def interventionSort(unsortedList):
sortedList = yhwh.pray(
"Oh great and merciful Lord above, let thine glory shine upon yonder list!",
unsortedList
)
return sortedList
Camelcase in python, ew, a fundamentalist would do that
yhwh looking suspiciously like an LLM
Hello programmers...
I recently took a course that went through basic python, C, and C++.
I had a hard time implementing various forms of sorting functions by hand (these were exercises for exam study). Are there any resources you folks would recommend so that I can build a better grasp of sorting implementations and efficiency?
Skiena's Algorithm design manual is very widely recommended for learning algorithms, I've also heard good things about A common sense guide to algorithms and data structures. Skiena's also has video lectures on YouTube if you prefer videos.
From what I've seen, a common sense guide seems to be more geared towards newer programmers while Skiena assumes more experience. Consequently, Skiena goes into more depth while A common sense guide seems to be more focused on what you specifically asked for. algorithm design manual A common sense guide
Thank you, awesome! I will definitely check out this material :)
I prefer the one where you randomly sorting the array until all elements are in order. ( Bogosort )
My favorite is StalinSort. You go through the list and eliminate all elements which are not in line.
you should post this on lemmy.ml
it would be a pretty funny post for the full 5 minutes it would last until it got stalin sorted out of lemmy.ml
Is it thread safe?
I hear, it actually significantly increases the chance of the miracle occurring when you pass the array into multiple threads. It's a very mysterious algorithm.
This is the algoritm I use at work.
Reminds me of quantum-bogosort: randomize the list; check if it is sorted. If it is, you're done; otherwise, destroy this universe.
The creation and destruction of universes is left as an exercise to the reader
Creation is easy, assuming the many-worlds interpretation of quantum mechanics!
Guaranteed to sort the list in nearly instantaneous time and with absolutely no downsides that are capable of objecting.
You still have to check that it's sorted, which is O(n).
We'll also assume that destroying the universe takes constant time.
We'll also assume that destroying the universe takes constant time.
Well yeah just delete the pointer to it!
In the universe where the list is sorted, it doesn't actually matter how long the destruction takes!
It actually takes a few trillion years but its fine because we just stop considering the "failed" universes because they will be gone soon™ anyway.
Eh, trillion is a constant
amortized O(0)
Except you missed a bug in the "check if it's sorted" code and it ends up destroying every universe.
There's a bug in it now, that's why we're still here.
Instead of destroying the universe, can we destroy prior, failed shuffle/check iterations to retain o(1)? Then we wouldn't have to reload all of creation into RAM.
Delete prior iterations of the loop in the same timeline? I'm not sure there's anything in quantum mechanics to permit that...
What library are you using for that?
In Python you just use
import destroy_universe
is-sorted and a handful of about 300 other npm packages. Cloning the repo and installing takes about 16 hours but after that you're pretty much good for the rest of eternity
that explains why it took god 7 days to make the universe
We still suffer from the runtime errors that could've been caught at compilation time.
Since randomizing the list increases entropy, it could theoretically make your cpu cooler just before it destroys the universe.
And the time complexity is only O(1)
I don't think you can check if array of n elements is sorted in O(1), if you skip the check though and just assume it is sorted now (have faith), then the time would be constant, depending on how long you're willing to wait until the miracle happens. As long as MTM (Mean Time to Miracle) is constant, the faithfull miracle sort has O(1) time complexity, even if MTM is infinite. Faithless miracle sort has at best the complexity of the algorithm that checks if the array is sorted.
Technically you can to down to O(0) if you assume all array are always sorted.
// portability
Gave me the giggles. I've helped maintain systems where this portable solution would have left everyone better off.
CosmicRaySort.
I wonder how many 2 item lists have been sorted that way IRL.
Shameless plug for my sort lib
edit: Looking at my old code it might be time to add typescript, es6 and promises to make it ✨ p r o d u c t i o n r e a d y ✨