MTS 1

A doubly-linked list is a data structure that consists of sequentially linked nodes, and the nodes have reference to both the previous and the next nodes in the sequence of nodes.

You are given a sorted doubly linked list of size 'n'.

Remove all the duplicate nodes present in the linked list.

Example :

Input: Linked List: 1 <-> 2 <-> 2 <-> 2 <-> 3

Output: Modified Linked List: 1 <-> 2 <-> 3

Explanation: We will delete the duplicate values ‘2’ present in the linked list.

Similar to the previous question but here the linked list is an unsorted one. Hashed the nodes while traversing to keep counter of the unique nodes.

Implement a queue data structure which follows FIFO(First In First Out) property, using only the instances of the stack data structure.

Note:

1. To implement means you need to complete some predefined functions, which are supported by a normal queue such that it can efficiently handle the given input queries which are defined below.


2. The implemented queue must support the following operations of a normal queue: 

a. enQueue(data) : This function should take one argument of type integer and place the integer to the back of the queue.

b. deQueue(): This function should remove an integer from the front of the queue and also return that integer. If the queue is empty, it should return -1.

c. peek(): This function returns the element present in the front of the queue. If the queue is empty, it should return -1.

d. isEmpty(): This function should return true if the queue is empty and false otherwise.


3. You will be given q queries of 4 types:

a. 1 val - For this type of query, you need to insert the integer val to the back of the queue.

b. 2 - For this type of query, you need to remove the element from the front of the queue, and also return it.

c. 3 - For this type of query, you need to return the element present at the front of the queue(No need to remove it from the queue).

d. 4 - For this type of query, you need to return true if the queue is empty and false otherwise.


4. For every query of type:

a. 1, you do not need to return anything.

b. 2, return the integer being deQueued from the queue.

c. 3, return the integer present in the front of the queue.

d. 4, return “true” if the queue is empty, “false” otherwise.

Example

Operations: 
1 5
1 10
2
3
4

Enqueue operation 1 5: We insert 5 at the back of the queue.
Queue: [5]

Enqueue operation 1 10: We insert 10 at the back of the queue.
Queue: [5, 10]

Dequeue operation 2: We remove the element from the front of the queue, which is 5, and print it.
Output: 5
Queue: [10]

Peek operation 3: We return the element present at the front of the queue, which is 10, without removing it.
Output: 10
Queue: [10]

IsEmpty operation 4: We check if the queue is empty.
Output: False
Queue: [10]

Given an array of numbers, find the maximum sum of any contiguous subarray of the array.

For example, given the array [34, -50, 42, 14, -5, 86], the maximum sum would be 137, since we would take elements 42, 14, -5, and 86.

Given the array [-5, -1, -8, -9], the maximum sum would be -1.

Follow up: Do this in O(N) time.

You are given a sorted array of 'N' integers. You have to generate the power set for this array where each subset of this power set is individually sorted.

A set is a well-defined collection of distinct elements. Power set P(ARR) of a set 'ARR' is defined as a set of all possible subsets of 'ARR'.

You have to return the array of subsets. The elements in the subset should be sorted in ascending order. The order of subsets in the array does not matter. Hence there can be more than 1 possible solution for a given array.

For example :

If we are given an array ARR=[1,2,3] then the power set P(ARR) of the set ARR is: [ [], [1], [2], [1,2], [3], [1,3], [2,3], [1,2,3] ]

Note :

For every subset 'X' present in power set P(ARR) of set ARR, X must be sorted i.e. in the example above:
P1(ARR) =  [ [], [1], [2], [1,2], [3], [1,3], [2,3], [1,2,3] ]
P2(ARR) =  [ [], [1], [1,2,3], [2], [1,2], [3], [1,3], [2,3] ]
P3(ARR) =  [ [], [1], [2], [1,2], [3], [1,3], [2,3], [2,3,1] ]
P1(ARR) and P2(ARR) will be considered correct power sets but P3(ARR) will not be considered correct because there the last subset [2, 3, 1] is not sorted.

You are given an input string 'S'. Your task is to find and return all possible permutations of the input string.

Note:

1. The input string may contain the same characters, so there will also be the same permutations.

2. The order of permutation does not matter.

You are given a string ‘STR’ of size ‘N’ and an integer ‘M’ (the number of rows in the zig-zag pattern of ‘STR’). Your task is to return the string formed by concatenating all ‘M’ rows when string ‘STR’ is written in a row-wise zig-zag pattern.

Example:

N = 12, M = 3 and STR = ‘CODINGNINJAS’

There are three rows (‘M = 3’) in the zig-zag pattern. Row one contains ‘CNN’, row two contains ‘OIGIJS’, and row three contains ‘DNA’. After concatenating the three rows, we get the string ‘CNNOIGIJSDNA’. So, the answer is ‘CNNOIGIJSDNA’.

Note:

1. The string ‘STR’ consists of capital letters only (i.e., characters from ‘A-Z’).

You have been given a permutation of ‘N’ integers. A sequence of ‘N’ integers is called a permutation if it contains all integers from 1 to ‘N’ exactly once. Your task is to rearrange the numbers and generate the lexicographically next greater permutation.

To determine which of the two permutations is lexicographically smaller, we compare their first elements of both permutations. If they are equal — compare the second, and so on. If we have two permutations X and Y, then X is lexicographically smaller if X[i] < Y[i], where ‘i’ is the first index in which the permutations X and Y differ.

For example, [2, 1, 3, 4] is lexicographically smaller than [2, 1, 4, 3].

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