THE WEEKLY CHALLENGE - 246
https://theweeklychallenge.org/blog/perl-weekly-challenge-246/
Table of Contents
Intrigued by the idea of crafting solutions in different programming languages? Let’s dive into two fascinating coding challenges!
Code: https://github.com/manwar/perlweeklychallenge-club/tree/master/challenge-246/lubos-kolouch
Task 1 - 6 out of 49
The Challenge: Imagine you're creating a lottery number generator, similar to the "6 out of 49" German lottery. The task is to output six unique random integers from 1 to 49. It sounds simple, right? But there's a twist: ensuring the uniqueness of these numbers! Perl, Python, and Raku to the Rescue
Perl Approach: Perl comes with a neat trick up its sleeve. We use List::Util for shuffling a list of numbers and then pick the first six. This method guarantees both randomness and uniqueness.
Python Approach: Python makes this task a breeze with its random.sample() function. It efficiently selects six unique numbers from our range.
Raku Approach: Raku, with its expressive syntax, makes this task almost poetic. We use its roll method to randomly select numbers and ensure their uniqueness. Key Takeaway:
The crux lies in the balance between randomness and ensuring no repeats. Each language offers a unique, idiomatic way to solve this, reflecting their capabilities and syntactic sugar.
Task 2 - Linear Recurrence of Second Order
The Puzzle: This task is a bit more brain-teasing. We're given an array of integers and need to check if they follow a second-order linear recurrence with integer factors. In simpler terms, we're looking for a pattern where each number in the sequence is a sum of the two preceding numbers, multiplied by some fixed integers. Solving with Perl, Python, and Raku
Perl Approach: The Perl solution involves setting up and solving linear equations to find the multipliers, and then checking if these multipliers work for the whole array. It's a delicate balance of mathematics and programming.
Python Approach: Python utilizes its robust numpy library for solving the linear equations. The elegance of Python shines in handling such mathematical computations.
Raku Approach: Raku's mathematical prowess is evident in this task. Its built-in matrix manipulation features make solving the linear equations straightforward and elegant.