SDE

You are given 'N' jobs with their start time 'Start', end time 'End' and profit 'Profit'. You need to tell the maximum profit you can obtain by performing these jobs such that no two jobs overlap.

Note:

The start time of one job can be equal to the end time of another.

Given an adjacency list representation of a directed graph with ‘n’ vertices and ‘m’ edges. Your task is to return a list consisting of Breadth-First Traversal (BFS) starting from vertex 0.

In this traversal, one can move from vertex 'u' to vertex 'v' only if there is an edge from 'u' to 'v'. The BFS traversal should include all nodes directly or indirectly connected to vertex 0.

Note:

The traversal should proceed from left to right according to the input adjacency list.

Example:

Adjacency list: { {1,2,3},{4}, {5}, {},{},{}}

The interpretation of this adjacency list is as follows:
Vertex 0 has directed edges towards vertices 1, 2, and 3.
Vertex 1 has a directed edge towards vertex 4.
Vertex 2 has a directed edge towards vertex 5.
Vertices 3, 4, and 5 have no outgoing edges.

We can also see this in the diagram below.

BFS traversal: 0 1 2 3 4 5

You are given an N x N chessboard and a knight. On a chessboard, the knight can supposedly move in 8 different positions from its original position i.e. if the knight is originally at (i,j) then it can move to (i + 2, j + 1), (i + 2, j - 1), (i - 2, j + 1), (i - 2, j - 1), (i + 1, j + 2), (i + 1, j - 2), (i - 1, j + 2), (i - 1, j - 2).

The rows and columns are 0 indexed, so the top-left square is (0, 0), and the bottom-right square is (N - 1, N - 1).

(X is the Knight’s current position, O is the position Knight can visit in 1 move)

You have to make K such moves from the initial position of the knight and tell the probability of the knight being within the boundaries of the chessboard i.e you have to consider all possibilities of K moves and determine the probability that after these moves the knight will remain within the chess grid.

Note:

Print output up to 6 decimal places.

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.

You have been given a Snake and Ladder Board with 'N' rows and 'N' columns with the numbers written from 1 to (N*N) starting from the bottom left of the board, and alternating direction each row.

For example

For a (6 x 6) board, the numbers are written as follows:

You start from square 1 of the board (which is always in the last row and first column). On each square say 'X', you can throw a dice which can have six outcomes and you have total control over the outcome of dice throw and you want to find out the minimum number of throws required to reach the last cell.
Some of the squares contain Snakes and Ladders, and these are possibilities of a throw at square 'X':
You choose a destination square 'S' with number 'X+1', 'X+2', 'X+3', 'X+4', 'X+5', or 'X+6', provided this number is <= N*N.
If 'S' has a snake or ladder, you move to the destination of that snake or ladder.  Otherwise, you move to S.
A board square on row 'i' and column 'j' has a "Snake or Ladder" if board[i][j] != -1. The destination of that snake or ladder is board[i][j].

Note :

You can only take a snake or ladder at most once per move: if the destination to a snake or ladder is the start of another snake or ladder, you do not continue moving - you have to ignore the snake or ladder present on that square.

For example, if the board is:
-1 1 -1
-1 -1 9
-1 4 -1
Let's say on the first move your destination square is 2  [at row 2, column 1], then you finish your first move at 4 [at row 1, column 2] because you do not continue moving to 9 [at row 0, column 0] by taking the ladder from 4.

A square can also have a Snake or Ladder which will end at the same cell.
For example, if the board is:
-1 3 -1
-1 5 -1
-1 -1 9
Here we can see Snake/Ladder on square 5 [at row 1, column 1] will end on the same square 5.

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