Python Solution for Codeforces Problem 263A - Beautiful Matrix

Introduction

Codeforces, a platform renowned for its challenging algorithmic problems, presents an array of intriguing puzzles. Among these, Codeforces problem 263A - Beautiful Matrix, immerses participants in a fascinating grid arrangement task. In this article, we'll delve into an optimized Python solution for this problem, comprehensively explaining the code's mechanics, while emphasizing the significance of Codeforces in refining coding skills.

Codeforces Problem 263A - Beautiful Matrix

Codeforces problem 263A, aptly named "Beautiful Matrix," offers a captivating challenge involving the transformation of a matrix into a beautiful arrangement. The problem tasks programmers with determining the minimal number of moves required to achieve this arrangement.

Python Solution for Problem 263A - Beautiful Matrix

for i in range(5):
    arr = [int(x) for x in input().split()]
    for j in range(5):
        if arr[j] == 1:
            print(abs(2 - i) + abs(2 - j))
            exit()

Explanation of the Python Code

1. Loop Iteration: The code initiates a `for` loop that iterates five times, corresponding to the five rows of the matrix.

2. Input Processing: For each row, the code reads five space-separated integers, creating a list `arr` representing the values in that row.

3. Finding the Position of 1: Within each row, the nested `for` loop iterates through the five elements. If an element is equal to 1 (indicating the position where the desired arrangement is achieved), the code calculates the absolute difference between 2 and the current row index (`i`) and the absolute difference between 2 and the current column index (`j`). These differences denote the moves needed to position the element at the center of the matrix.

4. Output and Exit: The code prints the sum of the absolute row and column differences as the minimal number of moves required for the beautiful matrix arrangement. After printing the result, the `exit()` function is used to terminate the program since the problem only requires the minimal number of moves to be displayed.

Conclusion

Competitive programming thrives on problem-solving prowess, a concept epitomized by Codeforces problem 263A - Beautiful Matrix. The Python solution analyzed above empowers programmers to elegantly determine the minimal moves needed to create a beautiful matrix arrangement. This coding endeavor highlights the role of loops, conditionals, and matrix manipulation in efficient problem-solving.
Platforms like Codeforces provide an optimal space for nurturing problem-solving skills, refining coding efficiency, and participating in captivating coding contests. This article serves as a guide, delving into the intricacies of the Beautiful Matrix problem and paving the way to mastering analogous algorithmic conundrums.
Embark on the captivating journey of competitive programming, equipped with a comprehensive grasp of core concepts. This expertise empowers you to elegantly surmount coding challenges, fostering a continuous cycle of enhancement and exploration. Happy coding and problem-solving!