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1 change: 1 addition & 0 deletions DIRECTORY.md
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* [RodCutting](Dynamic-Programming/RodCutting.js)
* [Shuf](Dynamic-Programming/Shuf.js)
* [SieveOfEratosthenes](Dynamic-Programming/SieveOfEratosthenes.js)
* [UniquePaths](Dynamic-Programming/UniquePaths.js)
* **Sliding-Window**
* [LongestSubstringWithoutRepeatingCharacters](Dynamic-Programming/Sliding-Window/LongestSubstringWithoutRepeatingCharacters.js)
* [PermutationinString](Dynamic-Programming/Sliding-Window/PermutationinString.js)
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41 changes: 41 additions & 0 deletions Dynamic-Programming/UniquePaths.js
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/*
*
* Unique Paths
*
* There is a robot on an `m x n` grid.
* The robot is initially located at the top-left corner.
* The robot tries to move to the bottom-right corner.
* The robot can only move either down or right at any point in time.
*
* Given the two integers `m` and `n`,
* return the number of possible unique paths that the robot can take to reach the bottom-right corner.
* More info: https://leetcode.com/problems/unique-paths/
*/

/*
* @param {number} m
* @param {number} n
* @return {number}
*/

const uniquePaths = (m, n) => {
// only one way to reach end
if (m === 1 || n === 1) return 1

// build a linear grid of size m
// base case, position 1 has only 1 move
const paths = new Array(m).fill(1)

for (let i = 1; i < n; i++) {
for (let j = 1; j < m; j++) {
// paths[j] in RHS represents the cell value stored above the current cell
// paths[j-1] in RHS represents the cell value stored to the left of the current cell
// paths [j] on the LHS represents the number of distinct pathways to the cell (i,j)
paths[j] = paths[j - 1] + paths[j]
}
}
return paths[m - 1]
}

export { uniquePaths }
11 changes: 11 additions & 0 deletions Dynamic-Programming/tests/UniquePaths.test.js
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import { uniquePaths } from '../UniquePaths'

describe('Unique Paths', () => {
it('should return 28 when m is 3 and n is 7', () => {
expect(uniquePaths(3, 7)).toBe(28)
})

it('should return 48620 when m is 10 and n is 10', () => {
expect(uniquePaths(10, 10)).toBe(48620)
})
})