Crack the Multi‑Modulo Egg‑Counting Puzzle: Three Python Solutions
This article presents three Python approaches to solve a complex multi‑modulo egg‑counting problem, showing step‑by‑step code, performance optimizations, and practical insights for algorithm enthusiasts seeking efficient solutions.
Introduction
Hello, I am a Python enthusiast. A basic algorithm question was raised in a Python community, and I am sharing the solution here.
Implementation Process
I will share three different ideas that work well for this problem.
Method One
This method was contributed by an experienced member and is implemented as follows:
y = 1
while(True):
if y % 2 == y % 4 == y % 8 and y % 3 == 0 and y % 7 == 0 and y % 9 == 0 and y % 5 == 4 and y % 6 == 3:
print("篮子里总共有鸡蛋: %s(个)" % y)
break
y += 1Although this brute‑force approach is slower, it works. The next two methods improve the algorithm.
Method Two
This method, shared by another contributor, uses a larger step size for faster convergence:
a = 9
while True:
if a%5 == 4 and a%7 == 0 and a%8 == 1 and a%9 == 0:
print(a)
break
a += 9Increasing the variable by 9 each iteration makes this method noticeably faster than Method One.
Method Three
The third approach, suggested by another expert, modifies the previous logic slightly:
y = 63
while(True):
if y % 2 == y % 4 == y % 8 and y % 3 == 0 and y % 7 == 0 and y % 9 == 0 and y % 5 == 4 and y % 6 == 3:
print("篮子里总共有鸡蛋: %s(个)" % y)
break
y += 63Only a single adjustment is needed, as shown in the accompanying illustration.
Conclusion
This article demonstrates how to apply Python programming to solve a specific value‑search problem, progressively optimizing the algorithm across three methods. The solutions deepen understanding of Python coding techniques and algorithmic thinking.
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