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Description

You are given a 0-indexed integer array nums containing distinct numbers, an integer start, and an integer goal. There is an integer x that is initially set to start, and you want to perform operations on x such that it is converted to goal. You can perform the following operation repeatedly on the number x:

If 0 <= x <= 1000, then for any index i in the array (0 <= i < nums.length), you can set x to any of the following:

  • x + nums[i]
  • x - nums[i]
  • x ^ nums[i] (bitwise-XOR)

Note that you can use each nums[i] any number of times in any order. Operations that set x to be out of the range 0 <= x <= 1000 are valid, but no more operations can be done afterward.

Return the minimum number of operations needed to convert x = start into goal, and -1 if it is not possible.

 

Example 1:

Input: nums = [1,3], start = 6, goal = 4
Output: 2
Explanation:
We can go from 6 → 7 → 4 with the following 2 operations.
- 6 ^ 1 = 7
- 7 ^ 3 = 4

Example 2:

Input: nums = [2,4,12], start = 2, goal = 12
Output: 2
Explanation:
We can go from 2 → 14 → 12 with the following 2 operations.
- 2 + 12 = 14
- 14 - 2 = 12

Example 3:

Input: nums = [3,5,7], start = 0, goal = -4
Output: 2
Explanation:
We can go from 0 → 3 → -4 with the following 2 operations.
- 0 + 3 = 3
- 3 - 7 = -4
Note that the last operation sets x out of the range 0 <= x <= 1000, which is valid.

Example 4:

Input: nums = [2,8,16], start = 0, goal = 1
Output: -1
Explanation:
There is no way to convert 0 into 1.

Example 5:

Input: nums = [1], start = 0, goal = 3
Output: 3
Explanation:
We can go from 0 → 1 → 2 → 3 with the following 3 operations.
- 0 + 1 = 1
- 1 + 1 = 2
- 2 + 1 = 3

 

Constraints:

  • 1 <= nums.length <= 1000
  • -109 <= nums[i], goal <= 109
  • 0 <= start <= 1000
  • start != goal
  • All the integers in nums are distinct.

Solutions

BFS

Python3

class Solution:
    def minimumOperations(self, nums: List[int], start: int, goal: int) -> int:
        op1 = lambda x, y: x + y
        op2 = lambda x, y: x - y
        op3 = lambda x, y: x ^ y
        ops = [op1, op2, op3]
        vis = [False] * 1001
        q = deque([(start, 0)])
        while q:
            x, step = q.popleft()
            for num in nums:
                for op in ops:
                    nx = op(x, num)
                    if nx == goal:
                        return step + 1
                    if nx >= 0 and nx <= 1000 and not vis[nx]:
                        q.append((nx, step + 1))
                        vis[nx] = True
        return -1

Java

class Solution {
    public int minimumOperations(int[] nums, int start, int goal) {
        IntBinaryOperator op1 = (x, y) -> x + y;
        IntBinaryOperator op2 = (x, y) -> x - y;
        IntBinaryOperator op3 = (x, y) -> x ^ y;
        IntBinaryOperator[] ops = { op1, op2, op3 };
        boolean[] vis = new boolean[1001];
        Queue<int[]> queue = new ArrayDeque<>();
        queue.offer(new int[] { start, 0 });
        while (!queue.isEmpty()) {
            int[] p = queue.poll();
            int x = p[0], step = p[1];
            for (int num : nums) {
                for (IntBinaryOperator op : ops) {
                    int nx = op.applyAsInt(x, num);
                    if (nx == goal) {
                        return step + 1;
                    }
                    if (nx >= 0 && nx <= 1000 && !vis[nx]) {
                        queue.offer(new int[] { nx, step + 1 });
                        vis[nx] = true;
                    }
                }
            }
        }
        return -1;
    }
}

C++

class Solution {
public:
    int minimumOperations(vector<int>& nums, int start, int goal) {
        using pii = pair<int, int>;
        vector<function<int(int, int)>> ops{
            [](int x, int y) { return x + y; },
            [](int x, int y) { return x - y; },
            [](int x, int y) { return x ^ y; },
        };
        vector<bool> vis(1001, false);
        queue<pii> q;
        q.push({start, 0});
        while (!q.empty()) {
            auto [x, step] = q.front();
            q.pop();
            for (int num : nums) {
                for (auto op : ops) {
                    int nx = op(x, num);
                    if (nx == goal) {
                        return step + 1;
                    }
                    if (nx >= 0 && nx <= 1000 && !vis[nx]) {
                        q.push({nx, step + 1});
                        vis[nx] = true;
                    }
                }
            }
        }
        return -1;
    }
};

Go

func minimumOperations(nums []int, start int, goal int) int {
	type pair struct {
		x    int
		step int
	}

	ops := []func(int, int) int{
		func(x, y int) int { return x + y },
		func(x, y int) int { return x - y },
		func(x, y int) int { return x ^ y },
	}
	vis := make([]bool, 1001)
	q := []pair{{start, 0}}

	for len(q) > 0 {
		x, step := q[0].x, q[0].step
		q = q[1:]
		for _, num := range nums {
			for _, op := range ops {
				nx := op(x, num)
				if nx == goal {
					return step + 1
				}
				if nx >= 0 && nx <= 1000 && !vis[nx] {
					q = append(q, pair{nx, step + 1})
					vis[nx] = true
				}
			}
		}
	}
	return -1
}

TypeScript

function minimumOperations(
    nums: number[],
    start: number,
    goal: number
): number {
    const n = nums.length;
    const op1 = function (x: number, y: number): number {
        return x + y;
    };
    const op2 = function (x: number, y: number): number {
        return x - y;
    };
    const op3 = function (x: number, y: number): number {
        return x ^ y;
    };
    const ops = [op1, op2, op3];
    let vis = new Array(1001).fill(false);
    let quenue: Array<Array<number>> = [[start, 0]];
    vis[start] = true;
    while (quenue.length) {
        let [x, step] = quenue.shift();
        for (let i = 0; i < n; i++) {
            for (let j = 0; j < ops.length; j++) {
                const nx = ops[j](x, nums[i]);
                if (nx == goal) {
                    return step + 1;
                }
                if (nx >= 0 && nx <= 1000 && !vis[nx]) {
                    vis[nx] = true;
                    quenue.push([nx, step + 1]);
                }
            }
        }
    }
    return -1;
}

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