Happy Number
A number is 'happy' if repeatedly replacing it with the sum of the squares of its digits eventually reaches 1. If the process loops forever without reaching 1, the number is not happy. Return true if the number is happy.
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Problem
Write an algorithm to determine if a number n is happy. Replace the number by the sum of the squares of its digits, and repeat the process until the number equals 1 (happy) or loops endlessly in a cycle that does not include 1. Return true if n is a happy number, and false if not.
Input
An integer `n`.
Output
A boolean: `true` if `n` is a happy number, `false` otherwise.
Examples
Input: n = 19
Output: true
1² + 9² = 82, 8² + 2² = 68, 6² + 8² = 100, 1² + 0² + 0² = 1. Reached 1, so it's happy.
Input: n = 2
Output: false
2 → 4 → 16 → 37 → 58 → 89 → 145 → 42 → 20 → 4, back to 4, which was already seen. It loops.
The brute-force approach
Just run the process for a fixed large number of steps. If you reach 1, return true. If you haven't hit 1 after, say, 1000 iterations, assume it's stuck in a cycle and return false.
def sum_of_squares(n):
total = 0
while n > 0:
digit = n % 10
total += digit * digit
n //= 10
return total
for _ in range(1000): # arbitrary limit
n = sum_of_squares(n)
if n == 1:
return True
return FalseThe magic number 1000 is arbitrary, you're guessing at a limit instead of detecting the cycle. If the limit is too low you get wrong answers; too high and you waste work. There's a precise way to know exactly when you've seen a number before.
Spotting the pattern
This is a Set problem. The key question to ask yourself:
How would I know if this process is stuck in a loop?
Answering that is where it clicks, and it's exactly what the guided walkthrough below builds with you: the pattern reasoning, a progressive hint ladder that never spoils the answer, a row-by-row dry run, the optimized solution, and an in-browser editor to run your code against real test cases.
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