Sorting algorithm Memes

Posts tagged with Sorting algorithm

Nuclear Option For Your Sorting Problems

Nuclear Option For Your Sorting Problems
The ultimate solution to all your sorting woes: just nuke the entire array! This brilliant NPM package demonstrates the pinnacle of JavaScript efficiency—remove all elements and return an empty array. Problem solved in O(1) time! Notice how it returns [] regardless of input? That's not a bug, it's a feature! Why waste CPU cycles on complex algorithms when you can just obliterate your data entirely? The package has zero dependencies because, like any good weapon of mass destruction, it's completely self-contained. The misattributed Oppenheimer quote really sells it. Next time your tech lead asks why the data disappeared, just whisper dramatically: "I am become Death, destroyer of unsorted arrays."

Timeout Sort: The Accidental Sorting Algorithm

Timeout Sort: The Accidental Sorting Algorithm
Behold the accidental genius of setTimeout sorting! The code loops through an array and logs each value using setTimeout with the value itself as the delay. Since JavaScript's event loop processes timeouts in order of expiration, smaller numbers appear first in the console. Congratulations! You've invented the world's most inefficient sorting algorithm with O(max(array)) time complexity. The array magically appears sorted in the console, not because of any actual sorting logic, but because the browser's event scheduler is doing all the work. Somewhere, a computer science professor just felt a disturbance in the force.

Rate My Sorting Algorithm

Rate My Sorting Algorithm
Ah, the legendary "setTimeout Sort" algorithm. Efficiency: O(whenever JavaScript feels like it). The code loops through an array and uses setTimeout to log each value with the item itself as the delay. So smaller numbers appear first in the console, creating an "accidental" sorting mechanism that relies entirely on the browser's timer queue. It's like asking your intern to sort papers by throwing them in the air and picking them up in whatever order they land. Somehow it worked this time, but don't tell your senior dev.

Vibesort: When Your Arrays Need That Special AI Touch

Vibesort: When Your Arrays Need That Special AI Touch
Finally, a sorting algorithm with the computational complexity of O($$). Just send your array to GPT, pay a few cents, and get it back sorted. Perfect for when you need your data arranged but can't be bothered to remember how quicksort works. The best part? If your array isn't sorted correctly, you can just claim it's because the AI "didn't understand the vibe" of your integers.

But He Is Right

But He Is Right
Tech interviews in a nutshell. Interviewer wants you to implement a sorting algorithm from scratch, probably expecting some elegant quicksort or merge sort with O(n log n) complexity. Meanwhile, you just use the built-in sort method that every sane developer would use in real life. The interviewer's face says it all – horrified that you'd dare use a practical solution instead of reinventing the wheel to prove you memorized algorithms from 1962. Pro tip: The built-in sort is optimized by people smarter than both of you. But good luck explaining that during the awkward silence that follows.

Fastest Way To Empty Your Wallet: The O(API) Sorting Algorithm

Fastest Way To Empty Your Wallet: The O(API) Sorting Algorithm
When your CS professor says "implement a sorting algorithm" but you've got an OpenAI API key and zero shame. This dev just created the world's most expensive sorting function by literally asking GPT-4 to be a sorting algorithm! Sure, it works—but imagine burning through API credits to sort [42, 3, 99, 7, 13] when a simple Array.sort() would do the trick. The true innovation here is maximizing both latency AND cost while solving a problem that was figured out decades ago. Congratulations, you've invented O(API) complexity—where the limiting factor is your credit card limit!