Good Morning

The "Travelling Salesman Trolley Problem" brilliantly combines two infamous nightmares: an ethical dilemma and an NP-hard algorithm. While philosophers debate whether to sacrifice one person to save five, computer scientists are still trying to find the optimal route through this graph without having an existential crisis. The joke here is that finding the perfect path is mathematically impossible to solve efficiently—much like trying to explain to your product manager why that "simple feature" will take three months to implement. Just remember: whether you choose the greedy algorithm or dynamic programming approach, someone's deadline is definitely getting run over.

When your algorithm skills are so bad, you take logarithmic problems and somehow turn them into cubic complexity nightmares. It's like having a superpower, but the worst one possible. Your brain is essentially an inefficiency generator that would make computer scientists weep. For the uninitiated: O(log(n)) represents highly efficient algorithms that barely break a sweat as inputs grow, while O(n³) is the computational equivalent of trying to empty the ocean with a teaspoon. Congratulations on being a walking computational disaster!

Senior devs watching juniors implement their own "random" number generator: 4... chosen by fair dice roll... guaranteed to be random. Nothing strikes fear into a cryptographer's heart quite like someone deciding to roll their own randomness. Sure, importing libraries feels like cheating, but at least your app won't have the security strength of a wet paper bag.

Behold the majestic triangle of nested conditionals—where each layer takes you one get_step() deeper into madness! This magnificent code sculpture starts with a simple function call and then descends through increasingly absurd levels of nesting, creating that beautiful triangular indentation pattern. It's like the developer thought: "Why write a loop when you can create a fractal of if statements?" The real genius is how each return statement has precisely the right number of get_step() calls to match its indentation level. Pure algorithmic poetry—or a cry for help from someone who discovered code folding and decided to test its limits. The "Wedge of Destiny" indeed—because your destiny is to maintain this masterpiece during the 3 AM production outage when you've run out of coffee.

Ah yes, the revolutionary O(n) sorting algorithm that's "faster than merge sort" — just ask the user to input an already sorted array. Genius level problem-solving right there. This is the coding equivalent of claiming you've invented a teleportation device when you're actually just telling people to walk to their destination. The real innovation is the sheer audacity.

When you spend 6 hours crafting the most elegant algorithm with perfect variable names and documentation, only to discover NumPy has a one-liner that's 200x faster. import numpy as np and watch your self-esteem plummet faster than your execution time! The classic "reinventing the wheel vs. standing on the shoulders of giants" dilemma that haunts every developer who thinks they're being productive.