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Given a binary tree of N nodes and a node of this tree, you need to return a list containing the values of the cousins of the given node in the given binary tree sorted by non-decreasing order of their values.

Note:

Two nodes of a binary tree are cousins if they have the same depth or level, but have different parents.

No two nodes in the given binary tree will have the same data values.

Example :

You are given a binary tree having 'n' nodes. Each node of the tree has an integer value.

Your task is to find the maximum possible sum of a simple path between any two nodes (possibly the same) of the given tree.

A simple path is a path between any two nodes of a tree, such that no edge in the path is repeated twice. The sum of a simple path is defined as the summation of all node values in a path.

You have been given a gold mine represented by a 2-d matrix of size ('N' * 'M') 'N' rows and 'M' columns. Each field/cell in this mine contains a positive integer, the amount of gold in kgs.

Initially, the miner is at the first column but can be at any row.

He can move only right, right up, or right down. That is from a given cell and the miner can move to the cell diagonally up towards the right or right or diagonally down towards the right.

Find out the maximum amount of gold he can collect.

You are given a string ‘str’ of size ‘N’. Your task is to remove consecutive duplicates from this string recursively.

For example:

If the input string is ‘str’ = ”aazbbby”, then your output will be “azby”.
Note that we are just removing adjacent duplicates.

Given a singly linked list of integers. Your task is to return the head of the reversed linked list.

For example:

The given linked list is 1 -> 2 -> 3 -> 4-> NULL. Then the reverse linked list is 4 -> 3 -> 2 -> 1 -> NULL and the head of the reversed linked list will be 4.

Follow Up :

Can you solve this problem in O(N) time and O(1) space complexity?

Implement Trie Data Structure to support these operations:

insert(word) - To insert a string "word" in Trie
search(word) - To check if string "word" is present in Trie or not.
startsWith(word) - To check if there is any string in the Trie that starts with the given prefix string "word".

Three type of queries denote these operations:

Type 1: To insert a string "word" in Trie.
1 word

Type 2: To check if the string "word" is present in Trie or not.
2 word

Type 3: To check if there is any string in the Trie that starts with the given prefix string "word".
3 word

What is a process in OS?

What is a singleton class? Write code for the same.

You are given a starting position for a rat which is stuck in a maze at an initial point (0, 0) (the maze can be thought of as a 2-dimensional plane). The maze would be given in the form of a square matrix of order 'N' * 'N' where the cells with value 0 represent the maze’s blocked locations while value 1 is the open/available path that the rat can take to reach its destination. The rat's destination is at ('N' - 1, 'N' - 1). Your task is to find all the possible paths that the rat can take to reach from source to destination in the maze. The possible directions that it can take to move in the maze are 'U'(up) i.e. (x, y - 1) , 'D'(down) i.e. (x, y + 1) , 'L' (left) i.e. (x - 1, y), 'R' (right) i.e. (x + 1, y).

Note:

Here, sorted paths mean that the expected output should be in alphabetical order.

For Example:

Given a square matrix of size 4*4 (i.e. here 'N' = 4):
1 0 0 0
1 1 0 0
1 1 0 0
0 1 1 1 
Expected Output:
DDRDRR DRDDRR 
i.e. Path-1: DDRDRR and Path-2: DRDDRR

The rat can reach the destination at (3, 3) from (0, 0) by two paths, i.e. DRDDRR and DDRDRR when printed in sorted order, we get DDRDRR DRDDRR.

Describe 4 pillars of OOPS.

What is Divide and Conquer algorithm. Give examples where we use this algorithm.