2183. Count Array Pairs Divisible by K
Problem Description
Given an array nums
and an integer k
, we have to find the number of pairs (i,j)
such that the product of nums[i]
and nums[j]
is divisible by k
. Note that k
can be as large as 1e5.
Here's a high-level approach to solving this problem:
-
Calculate the greatest common divisor (gcd) of each value in
nums
withk
. -
Then, for each pair
(nums[i], nums[j])
, check if their gcd values multiplied together are divisible byk
. If yes, add them to the count.
Let's walk through an example to better understand the approach.
Example
Suppose nums = [1, 2, 3, 4, 5] and k = 6. We first find the gcd values for each element in the array nums
with k.
1 x 6 = 6, gcd(1, 6) = 1 2 x 3 = 6, gcd(2, 6) = 2 3 x 2 = 6, gcd(3, 6) = 3 4 x 1.5 = 6, gcd(4, 6) = 2 5 x 1.2 = 6, gcd(5, 6) = 1
Now the gcd values are [1, 2, 3, 2, 1].
We go through each pair of gcd values and check if their product is divisible by k
. In our example:
(1, 2) - No (1, 3) - No (1, 2) - No (1, 1) - No (2, 3) - Yes (2, 2) - No (2, 1) - No (3, 2) - Yes (3, 1) - No (2, 1) - No
We find two pairs that are divisible by k
: (2, 3) and (3, 2). So the final answer is 2.
Solution
Python
python from math import gcd from typing import List class Solution: def countPairs(self, nums: List[int], k: int) -> int: ans = 0 gcds = {} for num in nums: gcd_num = gcd(num, k) for gcd_val, count in gcds.items(): if gcd_num * gcd_val % k == 0: ans += count gcds[gcd_num] = gcds.get(gcd_num, 0) + 1 return ans
Java
java
import java.util.HashMap;
import java.util.Map;
class Solution {
public long countPairs(int[] nums, int k) {
long ans = 0;
Map<Integer, Integer> gcds = new HashMap<>();
for (int num : nums) {
int gcdNum = gcd(num, k);
for (Map.Entry<Integer, Integer> entry : gcds.entrySet()) {
if (gcdNum * entry.getKey() % k == 0) {
ans += entry.getValue();
}
}
gcds.put(gcdNum, gcds.getOrDefault(gcdNum, 0) + 1);
}
return ans;
}
private int gcd(int a, int b) {
if (b == 0) {
return a;
} else {
return gcd(b, a % b);
}
}
}
JavaScript
javascript
class Solution {
countPairs(nums, k) {
let ans = 0;
const gcds = new Map();
for (const num of nums) {
const gcdNum = this.gcd(num, k);
for (const [gcdVal, count] of gcds.entries()) {
if (gcdNum * gcdVal % k === 0) {
ans += count;
}
}
gcds.set(gcdNum, (gcds.get(gcdNum) || 0) + 1);
}
return ans;
}
gcd(a, b) {
if (b === 0) {
return a;
} else {
return this.gcd(b, a % b);
}
}
}
C++
cpp
#include <unordered_map>
class Solution {
public:
long long countPairs(vector<int>& nums, int k) {
long ans = 0;
unordered_map<int, int> gcds;
for (const int num : nums) {
const int gcdNum = gcd(num, k);
for (const auto& [gcdVal, count] : gcds) {
if (gcdNum * gcdVal % k == 0) {
ans += count;
}
}
++gcds[gcdNum];
}
return ans;
}
private:
int gcd(int a, int b) {
if (b == 0) {
return a;
} else {
return gcd(b, a % b);
}
}
};
C#
csharp
using System.Collections.Generic;
public class Solution {
public long CountPairs(int[] nums, int k) {
long ans = 0;
Dictionary<int, int> gcds = new Dictionary<int, int>();
foreach (int num in nums) {
int gcdNum = GCD(num, k);
foreach (KeyValuePair<int, int> entry in gcds) {
if (gcdNum * entry.Key % k == 0) {
ans += entry.Value;
}
}
if (gcds.ContainsKey(gcdNum)) {
gcds[gcdNum]++;
} else {
gcds[gcdNum] = 1;
}
}
return ans;
}
private int GCD(int a, int b) {
if (b == 0) {
return a;
} else {
return GCD(b, a % b);
}
}
}
In conclusion, the above solutions follow the high-level approach explained earlier and find the count of pairs such that their product is divisible by k
. Each solution utilizes the greatest common divisor (gcd) function to calculate the gcd values, iterate through each pair of gcd values, and check if their product is divisible by k
. The implementation is provided in Python, Java, JavaScript, C++, and C#.
Ready to land your dream job?
Unlock your dream job with a 2-minute evaluator for a personalized learning plan!
Start EvaluatorGiven a sorted array of integers and an integer called target, find the element that
equals to the target and return its index. Select the correct code that fills the
___
in the given code snippet.
1def binary_search(arr, target):
2 left, right = 0, len(arr) - 1
3 while left ___ right:
4 mid = (left + right) // 2
5 if arr[mid] == target:
6 return mid
7 if arr[mid] < target:
8 ___ = mid + 1
9 else:
10 ___ = mid - 1
11 return -1
12
1public static int binarySearch(int[] arr, int target) {
2 int left = 0;
3 int right = arr.length - 1;
4
5 while (left ___ right) {
6 int mid = left + (right - left) / 2;
7 if (arr[mid] == target) return mid;
8 if (arr[mid] < target) {
9 ___ = mid + 1;
10 } else {
11 ___ = mid - 1;
12 }
13 }
14 return -1;
15}
16
1function binarySearch(arr, target) {
2 let left = 0;
3 let right = arr.length - 1;
4
5 while (left ___ right) {
6 let mid = left + Math.trunc((right - left) / 2);
7 if (arr[mid] == target) return mid;
8 if (arr[mid] < target) {
9 ___ = mid + 1;
10 } else {
11 ___ = mid - 1;
12 }
13 }
14 return -1;
15}
16
Recommended Readings
LeetCode Patterns Your Personal Dijkstra's Algorithm to Landing Your Dream Job The goal of AlgoMonster is to help you get a job in the shortest amount of time possible in a data driven way We compiled datasets of tech interview problems and broke them down by patterns This way we
Recursion Recursion is one of the most important concepts in computer science Simply speaking recursion is the process of a function calling itself Using a real life analogy imagine a scenario where you invite your friends to lunch https algomonster s3 us east 2 amazonaws com recursion jpg You first
Runtime Overview When learning about algorithms and data structures you'll frequently encounter the term time complexity This concept is fundamental in computer science and offers insights into how long an algorithm takes to complete given a certain input size What is Time Complexity Time complexity represents the amount of time
Want a Structured Path to Master System Design Too? Don’t Miss This!