Applying binary search to a casual game elegantly shows how algorithmic thinking can turn random guessing into a precise science. It is a perfect example of using systematic logic to solve problems with maximum efficiency.
Deep Dive
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Deep Dive
Playing The Pokemon Wordle Game PokedleAdded:
What is your favorite Pokémon? Mine is Mimikyu. So, let's start with that. It is a single stage Pokémon from a generation below Gen 7. Let's use it.
Let's put our thinking caps on. Binary search. Half of seven, three and a half.
We go gen 4. Gen 4 something single stage that's not a ghost. Let's go with Palia. Lighter than Gen 4. Not water dragon, ghost, or fairy. So, it's either gen five or six. Not dragon. Single stage. Heatmore. Show me heatmore. Right habitat. Right gen. Wrong type. It's not fire, water, dragon, ghost, or fairy.
It's not brown, red, white, pink, or yellow. Gen five single stage Pokémon.
Guessing it's a grass type. So, if it is a grass type, something like Ferris.
It's not a grass type. Psychic. I'm going psychic. How about like sigil? Not psych. It's not flying, so it's none of the genies. How about something steel?
Let's go through the legendaries like Genct. Genct makes sense. Oh, it's not Genct, but is a bug steals one stage. It It's Jurant.
Jurant.
That has to be it. Boom. That was pretty good. That was pretty good.
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