SDE - 1

You have been given a board where there are '2' rows and 'N' columns. You have an infinite supply of 2x1 tiles, and you can place a tile in the following ways:

1. Horizontally as 1x2 tile
2. Vertically as 2x1 tile

Count the number of ways to tile the given board using the available tiles.

Note :

The number of ways might be large so output your answer modulo 10^9 + 7.

Here an example of tile and board for 'N' = 4 :

You have been given an array/list(ARR) of positive and negative integers. Print the number of pairs where:

arr[i] = -arr[j] and i != j

Note:

Given array/list can contain duplicate elements and will not contain '0'.

(arr[i],arr[j]) and (arr[j],arr[i]) are considered same.

You are given a list of ‘transactions’ between ‘n’ number of friends. who have to give each other money. The list consists of data of receiver, sender, and transaction.

Your task is to minimize the cash flow and the total number of transactions should also be minimum.

For example :

In figure 1 : friend-1 has to pay 2000$ to friend-2, and 4000$ to friend-3 and friend-2 has to pay 3000$ to friend-3.

In figure 2 : so we can minimize the flow between friend-1 to friend-2 by direct pay to friend-1 to friend-3

You have been given a Generic Tree of Integers. The task is to count the number of 'Special Nodes'.

A Node is a Special Node if there is a path from the root to that Node with all distinct elements.

You have been given an integer array/list(ARR) of size 'N'. It only contains 0s, 1s and 2s. Write a solution to sort this array/list.

Note :

Try to solve the problem in 'Single Scan'. ' Single Scan' refers to iterating over the array/list just once or to put it in other words, you will be visiting each element in the array/list just once.

Implement a Trie Data Structure which supports the following three operations:

Operation 1 - insert(word) - To insert a string WORD in the Trie.

Operation 2-  search(word) - To check if a string WORD is present in Trie or not.

Operation 3-  startsWith(word) - To check if there is a string that has the prefix WORD.

Trie is a data structure that is like a tree data structure in its organisation. It consists of nodes that store letters or alphabets of words, which can be added, retrieved, and deleted from the trie in a very efficient way.

In other words, Trie is an information retrieval data structure, which can beat naive data structures like Hashmap, Tree, etc in the time complexities of its operations.

The above figure is the representation of a Trie. New words that are added are inserted as the children of the root node. 

Alphabets are added in the top to bottom fashion in parent to children hierarchy. Alphabets that are highlighted with blue circles are the end nodes that mark the ending of a word in the Trie.

For Example:-

Type = ["insert", "search"], Query = ["coding", "coding].
We return ["null", "true"] as coding is present in the trie after 1st operation.