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1385. Find the Distance Value Between Two Arrays
Description
Given two integer arrays arr1
and arr2
, and the integer d
, return the distance value between the two arrays.
The distance value is defined as the number of elements arr1[i]
such that there is not any element arr2[j]
where |arr1[i]-arr2[j]| <= d
.
Example 1:
Input: arr1 = [4,5,8], arr2 = [10,9,1,8], d = 2 Output: 2 Explanation: For arr1[0]=4 we have: |4-10|=6 > d=2 |4-9|=5 > d=2 |4-1|=3 > d=2 |4-8|=4 > d=2 For arr1[1]=5 we have: |5-10|=5 > d=2 |5-9|=4 > d=2 |5-1|=4 > d=2 |5-8|=3 > d=2 For arr1[2]=8 we have: |8-10|=2 <= d=2 |8-9|=1 <= d=2 |8-1|=7 > d=2 |8-8|=0 <= d=2
Example 2:
Input: arr1 = [1,4,2,3], arr2 = [-4,-3,6,10,20,30], d = 3 Output: 2
Example 3:
Input: arr1 = [2,1,100,3], arr2 = [-5,-2,10,-3,7], d = 6 Output: 1
Constraints:
1 <= arr1.length, arr2.length <= 500
-1000 <= arr1[i], arr2[j] <= 1000
0 <= d <= 100
Solutions
Solution 1: Sorting + Binary Search
We can first sort the array $arr2$, then for each element $a$ in array $arr1$, use binary search to find the first element in array $arr2$ that is greater than or equal to $a-d$. If such an element exists and is less than or equal to $a+d$, it means that it does not meet the distance requirement. Otherwise, it meets the distance requirement. We accumulate the number of elements that meet the distance requirement, which is the answer.
The time complexity is $O((m + n) \times \log n)$, and the space complexity is $O(\log n)$. Where $m$ and $n$ are the lengths of arrays $arr1$ and $arr2$, respectively.
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class Solution { public int findTheDistanceValue(int[] arr1, int[] arr2, int d) { Arrays.sort(arr2); int ans = 0; for (int a : arr1) { if (check(arr2, a, d)) { ++ans; } } return ans; } private boolean check(int[] arr, int a, int d) { int l = 0, r = arr.length; while (l < r) { int mid = (l + r) >> 1; if (arr[mid] >= a - d) { r = mid; } else { l = mid + 1; } } return l >= arr.length || arr[l] > a + d; } }
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class Solution { public: int findTheDistanceValue(vector<int>& arr1, vector<int>& arr2, int d) { auto check = [&](int a) -> bool { auto it = lower_bound(arr2.begin(), arr2.end(), a - d); return it == arr2.end() || *it > a + d; }; sort(arr2.begin(), arr2.end()); int ans = 0; for (int& a : arr1) { ans += check(a); } return ans; } };
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class Solution: def findTheDistanceValue(self, arr1: List[int], arr2: List[int], d: int) -> int: def check(a: int) -> bool: i = bisect_left(arr2, a - d) return i == len(arr2) or arr2[i] > a + d arr2.sort() return sum(check(a) for a in arr1)
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func findTheDistanceValue(arr1 []int, arr2 []int, d int) (ans int) { sort.Ints(arr2) for _, a := range arr1 { i := sort.SearchInts(arr2, a-d) if i == len(arr2) || arr2[i] > a+d { ans++ } } return }
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function findTheDistanceValue(arr1: number[], arr2: number[], d: number): number { const check = (a: number) => { let l = 0; let r = arr2.length; while (l < r) { const mid = (l + r) >> 1; if (arr2[mid] >= a - d) { r = mid; } else { l = mid + 1; } } return l === arr2.length || arr2[l] > a + d; }; arr2.sort((a, b) => a - b); let ans = 0; for (const a of arr1) { if (check(a)) { ++ans; } } return ans; }
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impl Solution { pub fn find_the_distance_value(arr1: Vec<i32>, mut arr2: Vec<i32>, d: i32) -> i32 { arr2.sort(); let n = arr2.len(); let mut res = 0; for &num in arr1.iter() { let mut left = 0; let mut right = n - 1; while left < right { let mid = left + (right - left) / 2; if arr2[mid] <= num { left = mid + 1; } else { right = mid; } } if i32::abs(num - arr2[left]) <= d || (left != 0 && i32::abs(num - arr2[left - 1]) <= d) { continue; } res += 1; } res } }