给定一个整数数组arr[]和一个正整数K ,任务是找到最长可能子数组的计数,其元素之和不能被K整除。
例子:
Input: arr[] = {2, 3, 4, 6}, K = 3
Output: 1
Explanation: There is only one longest possible subarray of size 3 i.e. {3, 4, 6} having a sum 13, which is not divisible by K = 3.
Input: arr[] = {2, 4, 3, 5, 1}, K = 3
Output: 2
Explanation: There are 2 longest possible subarrays of size 4 i.e. {2, 4, 3, 5} and {4, 3, 5, 1} having a sum 14 and 13 respectively, which is not divisible by K = 3.
方法:
- 检查数组所有元素的总和是否可以被 K 整除
- 如果总和不能被 K 整除,则返回 1,因为最长的子数组的大小为 N。
- 别的
- 找到第一个不能被 K 整除的数字的索引。设它是L 。
- 找到最后一个不能被 K 整除的数字的索引。设它是R 。
- 删除所有元素直到索引 L 并找到子数组的大小。删除 R 之外的元素,并找出该子数组的大小。哪个长度更大,那将是不能被 K 整除的最长子数组的大小。
- 使用这个长度作为窗口大小,在 arr[] 上应用滑动窗口技术来找出上面得到的不能被 K 整除的大小的子数组的数量。
下面是上述方法的实现:
C++
// C++ program for the above problem
#include
using namespace std;
// Function to find the count of
// longest subarrays with sum not
// divisible by K
int CountLongestSubarrays(
int arr[], int n, int k)
{
// Sum of all elements in
// an array
int i, s = 0;
for (i = 0; i < n; ++i) {
s += arr[i];
}
// If overall sum is not
// divisible then return
// 1, as only one subarray
// of size n is possible
if (s % k) {
return 1;
}
else {
int ini = 0;
// Index of the first number
// not divisible by K
while (ini < n
&& arr[ini] % k == 0) {
++ini;
}
int final = n - 1;
// Index of the last number
// not divisible by K
while (final >= 0
&& arr[final] % k == 0) {
--final;
}
int len, sum = 0, count = 0;
// Subarray doesn't exist
if (ini == n) {
return -1;
}
else {
len = max(n - 1 - ini,
final);
}
// Sum of the window
for (i = 0; i < len; i++) {
sum += arr[i];
}
if (sum % k != 0) {
count++;
}
// Calculate the sum of rest of
// the windows of size len
for (i = len; i < n; i++) {
sum = sum + arr[i];
sum = sum - arr[i - len];
if (sum % k != 0) {
count++;
}
}
return count;
}
}
// Driver Code
int main()
{
int arr[] = { 3, 2, 2, 2, 3 };
int n = sizeof(arr)
/ sizeof(arr[0]);
int k = 3;
cout << CountLongestSubarrays(arr, n, k);
return 0;
}
Java
// Java program for the above problem
import java.util.*;
class GFG{
// Function to find the count of
// longest subarrays with sum not
// divisible by K
static int CountLongestSubarrays(int arr[],
int n, int k)
{
// Sum of all elements in
// an array
int i, s = 0;
for(i = 0; i < n; ++i)
{
s += arr[i];
}
// If overall sum is not
// divisible then return
// 1, as only one subarray
// of size n is possible
if ((s % k) != 0)
{
return 1;
}
else
{
int ini = 0;
// Index of the first number
// not divisible by K
while (ini < n && arr[ini] % k == 0)
{
++ini;
}
int fin = n - 1;
// Index of the last number
// not divisible by K
while (fin >= 0 && arr[fin] % k == 0)
{
--fin;
}
int len, sum = 0, count = 0;
// Subarray doesn't exist
if (ini == n)
{
return -1;
}
else
{
len = Math.max(n - 1 - ini, fin);
}
// Sum of the window
for(i = 0; i < len; i++)
{
sum += arr[i];
}
if (sum % k != 0)
{
count++;
}
// Calculate the sum of rest of
// the windows of size len
for(i = len; i < n; i++)
{
sum = sum + arr[i];
sum = sum - arr[i - len];
if (sum % k != 0)
{
count++;
}
}
return count;
}
}
// Driver Code
public static void main (String []args)
{
int arr[] = { 3, 2, 2, 2, 3 };
int n = arr.length;
int k = 3;
System.out.print(CountLongestSubarrays(
arr, n, k));
}
}
// This code is contributed by chitranayal
Python3
# Python3 program for the above problem
# Function to find the count of
# longest subarrays with sum not
# divisible by K
def CountLongestSubarrays(arr, n, k):
# Sum of all elements in
# an array
s = 0
for i in range(n):
s += arr[i]
# If overall sum is not
# divisible then return
# 1, as only one subarray
# of size n is possible
if(s % k):
return 1
else:
ini = 0
# Index of the first number
# not divisible by K
while (ini < n and arr[ini] % k == 0):
ini += 1
final = n - 1
# Index of the last number
# not divisible by K
while (final >= 0 and arr[final] % k == 0):
final -= 1
sum, count = 0, 0
# Subarray doesn't exist
if(ini == n):
return -1
else:
length = max(n - 1 - ini, final)
# Sum of the window
for i in range(length):
sum += arr[i]
if(sum % k != 0):
count += 1
# Calculate the sum of rest of
# the windows of size len
for i in range(length, n):
sum = sum + arr[i]
sum = sum + arr[i - length]
if (sum % k != 0):
count += 1
return count
# Driver Code
if __name__ == '__main__':
arr = [ 3, 2, 2, 2, 3 ]
n = len(arr)
k = 3
print(CountLongestSubarrays(arr, n, k))
# This code is contributed by Shivam Singh
C#
// C# program for the above problem
using System;
class GFG{
// Function to find the count of
// longest subarrays with sum not
// divisible by K
static int CountLongestSubarrays(int[] arr,
int n, int k)
{
// Sum of all elements in
// an array
int i, s = 0;
for(i = 0; i < n; ++i)
{
s += arr[i];
}
// If overall sum is not
// divisible then return
// 1, as only one subarray
// of size n is possible
if ((s % k) != 0)
{
return 1;
}
else
{
int ini = 0;
// Index of the first number
// not divisible by K
while (ini < n && arr[ini] % k == 0)
{
++ini;
}
int fin = n - 1;
// Index of the last number
// not divisible by K
while (fin >= 0 && arr[fin] % k == 0)
{
--fin;
}
int len, sum = 0, count = 0;
// Subarray doesn't exist
if (ini == n)
{
return -1;
}
else
{
len = Math.Max(n - 1 - ini, fin);
}
// Sum of the window
for(i = 0; i < len; i++)
{
sum += arr[i];
}
if (sum % k != 0)
{
count++;
}
// Calculate the sum of rest of
// the windows of size len
for(i = len; i < n; i++)
{
sum = sum + arr[i];
sum = sum - arr[i - len];
if (sum % k != 0)
{
count++;
}
}
return count;
}
}
// Driver Code
public static void Main(String[] args)
{
int[] arr = { 3, 2, 2, 2, 3 };
int n = arr.Length;
int k = 3;
Console.WriteLine(CountLongestSubarrays(
arr, n, k));
}
}
// This code is contributed by jrishabh99
Javascript
输出:
2
时间复杂度: O(N)
辅助空间复杂度: O(1)