SDE - 1

Given a sequence of numbers ‘ARR’. Your task is to return a sorted sequence of ‘ARR’ in non-descending order with help of the merge sort algorithm.

Example :

Merge Sort Algorithm -

Merge sort is a Divide and Conquer based Algorithm. It divides the input array into two-parts, until the size of the input array is not ‘1’. In the return part, it will merge two sorted arrays a return a whole merged sorted array.

The above illustrates shows how merge sort works.

Note :

It is compulsory to use the ‘Merge Sort’ algorithm.

Design and implement a data structure for Least Recently Used (LRU) cache to support the following operations:

1. get(key) - Return the value of the key if the key exists in the cache, otherwise return -1.

2. put(key, value), Insert the value in the cache if the key is not already present or update the value of the given key if the key is already present. When the cache reaches its capacity, it should invalidate the least recently used item before inserting the new item.

You will be given ‘Q’ queries. Each query will belong to one of these two types:

Type 0: for get(key) operation.
Type 1: for put(key, value) operation.

Note :

1. The cache is initialized with a capacity (the maximum number of unique keys it can hold at a time).

2. Access to an item or key is defined as a get or a put operation on the key. The least recently used key is the one with the oldest access time.

You are given a tree with 'N' nodes with 'N' - 1 distinct edge. You are also given two nodes 'N1' and 'N2'. You have to find and print the shortest path between 'N1' and 'N2'.

A tree data structure is a nonlinear hierarchical data structure that consists of nodes connected by edges.

Note

1. There is no cycle present in a tree.
2. All values in the tree are unique.
3. Both nodes will always exist in the tree.

You are given a Binary tree. You have to count and return the number of leaf nodes present in it.

A binary tree is a tree data structure in which each node has at most two children, which are referred to as the left child and the right child

A node is a leaf node if both left and right child nodes of it are NULL.

Given a maze in the form of a binary rectangular matrix of size M*N, where each element can either be 0 or 1, the task is to find the length of the shortest path in a maze from a given source cell to a destination cell.

The path can only be created out of a cell if its value is 1 and at any given moment, we can only move one step in one of the four directions. The valid moves are:

Up: (x, y) -> (x - 1, y)
Left: (x, y) -> (x, y - 1)
Down: (x, y) -> (x + 1, y)
Right: (x, y) -> (x, y + 1)

If there is no path from a given source cell to a destination cell, return -1.

For example :

consider the binary matrix below. If source = (0, 0) and destination = (3, 4), the shortest path from source to destination has length 11.