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Program to count substrings that differ by one character in Python

Arnab Chakraborty
Arnab Chakraborty
Updated on 26-Mar-2026 318 Views

Suppose we have two strings s and t, we have to find the number of ways we can select a nonempty substring of s and replace one single character by another different character such that the resulting substring is one of the substring of t. We have to find the number of substrings that satisfy the condition above. So, if the input is like s = "sts" t = "tsts", then the output will be 6 because the following are the pairs of substrings from s and t that differ by 1 character − ...

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Program to find path with minimum effort in Python

Arnab Chakraborty
Arnab Chakraborty
Updated on 26-Mar-2026 503 Views

Finding the path with minimum effort involves navigating through a 2D matrix where we need to minimize the maximum absolute difference between consecutive cells. This problem is solved efficiently using Dijkstra's algorithm with a priority queue. Problem Understanding Given a 2D matrix heights of size m × n, we start at position (0, 0) and want to reach (m-1, n-1). We can move in four directions: up, down, left, or right. The effort of a path is defined as the maximum absolute difference between consecutive cells along that path. For example, with the matrix: 234 ...

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Program to find best team with no conflicts in Python

Arnab Chakraborty
Arnab Chakraborty
Updated on 26-Mar-2026 595 Views

Suppose we have two lists called scores and ages, where scores[i] and ages[i] represent the score and age of the ith player in a basketball game. We want to select the team with the highest overall score, where the team score is the total sum of scores of all selected players. However, we must avoid conflicts − a conflict exists if a younger player has a strictly higher score than an older player. So, if the input is like scores = [5, 7, 9, 14, 19], ages = [5, 6, 7, 8, 9], then the output will be 54 ...

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Program to find lexicographically smallest string after applying operations in Python

Arnab Chakraborty
Arnab Chakraborty
Updated on 26-Mar-2026 356 Views

Suppose we have a string s with only numeric digits and also have two values a and b. We can apply any one of the following two operations any number of times and in any order on s ? Add 'a' to all odd positioned items of s (0-indexed). If digit is 9, then by adding something with it will be cycled back to 0. Rotate 's' to the right by b positions. We have to find the lexicographically smallest string we can get by applying the above operations any number of times on s. ...

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Program to find number of sets of k-non-overlapping line segments in Python

Arnab Chakraborty
Arnab Chakraborty
Updated on 26-Mar-2026 398 Views

Suppose we have n points on a line, where the ith point (from 0 to n-1) is at position x = i, we have to find the number of ways we can draw exactly k different non-overlapping line segments such that each segment covers two or more points. The endpoints of each line segment must have integral coordinates. The k line segments do not have to cover all given n points, and they can share endpoints. If the answer is too large, then return result mod 10^9+7. So, if the input is like n = 4, k = 2, ...

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Program to find maximal network rank in Python

Arnab Chakraborty
Arnab Chakraborty
Updated on 26-Mar-2026 504 Views

The maximal network rank problem asks us to find the maximum combined connectivity between any two cities in a road network. The network rank of two cities is the total number of roads directly connected to either city, counting shared roads only once. Given a network where roads[i] = [u, v] represents a bidirectional road between cities u and v, we need to find the pair of cities with the highest combined connectivity. Understanding the Problem For any two cities, their network rank equals: Number of roads connected to city 1 Plus number of roads connected ...

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Program to find valid matrix given row and column sums in Python

Arnab Chakraborty
Arnab Chakraborty
Updated on 26-Mar-2026 407 Views

Suppose we have two arrays rowSum and colSum with non-negative values where rowSum[i] has the sum of the elements in the ith row and colSum[j] has the sum of the elements in the jth column of a 2D matrix. We have to find any matrix with non-negative values of size (rowSum size x colSum size) that satisfies the given rowSum and colSum values. So, if the input is like rowSum = [13, 14, 12] and colSum = [9, 13, 17], then the output will be − ...

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Program to find maximum non negative product in a matrix in Python

Arnab Chakraborty
Arnab Chakraborty
Updated on 26-Mar-2026 249 Views

Finding the maximum non-negative product path in a matrix is a dynamic programming problem. We need to traverse from the top-left corner (0, 0) to the bottom-right corner (m-1, n-1), moving only right or down, while tracking both maximum and minimum products at each cell. Problem Understanding Given an m x n matrix, we need to find a path from top-left to bottom-right that maximizes the product of all elements along the path. Since negative numbers can become positive when multiplied by other negatives, we track both maximum and minimum values at each position. For the example ...

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Program to find split a string into the max number of unique substrings in Python

Arnab Chakraborty
Arnab Chakraborty
Updated on 26-Mar-2026 462 Views

Given a string s, we need to find the maximum number of unique substrings that the string can be split into. Each substring must be non-empty, and when concatenated together, they should form the original string. The key constraint is that all substrings must be different from each other. For example, if we have s = "pqpqrrr", we can split it as ['p', 'q', 'pq', 'r', 'rr'] to get 5 unique substrings. However, splitting it as ['p', 'q', 'p', 'q', 'r', 'rr'] is invalid because 'p' and 'q' appear multiple times. Algorithm We use backtracking with a ...

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Program to make sum divisible by P in Python

Arnab Chakraborty
Arnab Chakraborty
Updated on 26-Mar-2026 458 Views

Given an array nums and a value p, we need to remove the smallest subarray such that the sum of remaining elements is divisible by p. We return the length of the smallest subarray to remove, or -1 if no such subarray exists. For example, with nums = [8, 2, 6, 5, 3] and p = 7, removing element 3 gives us a remaining sum of 21, which is divisible by 7. Algorithm The approach uses prefix sums and modular arithmetic ? s := remainder when total sum is divided by p Use a dictionary ...

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