给定一个由N 个正整数组成的数组arr[] ,其中整数在1 到 N的范围内,任务是检查数组中元素的频率是否唯一。如果所有频率都是唯一的,则打印“是” ,否则打印“否” 。
例子:
Input: N = 5, arr[] = {1, 1, 2, 5, 5}
Output: No
Explanation:
The array contains 2 (1’s), 1 (2’s) and 2 (5’s), since the number of frequency of 1 and 5 are the same i.e. 2 times. Therefore, this array does not satisfy the condition.
Input: N = 10, arr[] = {2, 2, 5, 10, 1, 2, 10, 5, 10, 2}
Output: Yes
Explanation:
Number of 1’s -> 1
Number of 2’s -> 4
Number of 5’s -> 2
Number of 10’s -> 3.
Since, the number of occurrences of elements present in the array is unique. Therefore, this array does not satisfy the condition.
朴素的方法:这个想法是检查从1 到 N 的每个数字是否存在于数组中。如果是,则计算该元素在数组中的频率,并将频率存储在数组中。最后,只需检查数组中的任何重复元素并相应地打印输出。
时间复杂度: O(N 2 )
辅助空间: O(N)
有效的方法:这个想法是使用哈希。以下是步骤:
- 遍历给定的数组arr[]并将每个元素的频率存储在 Map 中。
- 现在遍历地图并检查任何元素的计数是否出现多次。
- 如果上述步骤中任何元素的计数大于1,则打印“否” ,否则打印“是” 。
下面是上述方法的实现:
C++
// C++ code for the above approach
#include
using namespace std;
// Function to check whether the
// frequency of elements in array
// is unique or not.
bool checkUniqueFrequency(int arr[],
int n)
{
// Freq map will store the frequency
// of each element of the array
unordered_map freq;
// Store the frequency of each
// element from the array
for (int i = 0; i < n; i++) {
freq[arr[i]]++;
}
unordered_set uniqueFreq;
// Check whether frequency of any
// two or more elements are same
// or not. If yes, return false
for (auto& i : freq) {
if (uniqueFreq.count(i.second))
return false;
else
uniqueFreq.insert(i.second);
}
// Return true if each
// frequency is unique
return true;
}
// Driver Code
int main()
{
// Given array arr[]
int arr[] = { 1, 1, 2, 5, 5 };
int n = sizeof arr / sizeof arr[0];
// Function Call
bool res = checkUniqueFrequency(arr, n);
// Print the result
if (res)
cout << "Yes" << endl;
else
cout << "No" << endl;
return 0;
}
Java
// Java code for the above approach
import java.util.*;
class GFG{
// Function to check whether the
// frequency of elements in array
// is unique or not.
static boolean checkUniqueFrequency(int arr[],
int n)
{
// Freq map will store the frequency
// of each element of the array
HashMap freq = new HashMap();
// Store the frequency of each
// element from the array
for(int i = 0; i < n; i++)
{
if(freq.containsKey(arr[i]))
{
freq.put(arr[i], freq.get(arr[i]) + 1);
}else
{
freq.put(arr[i], 1);
}
}
HashSet uniqueFreq = new HashSet();
// Check whether frequency of any
// two or more elements are same
// or not. If yes, return false
for(Map.Entry i : freq.entrySet())
{
if (uniqueFreq.contains(i.getValue()))
return false;
else
uniqueFreq.add(i.getValue());
}
// Return true if each
// frequency is unique
return true;
}
// Driver Code
public static void main(String[] args)
{
// Given array arr[]
int arr[] = { 1, 1, 2, 5, 5 };
int n = arr.length;
// Function call
boolean res = checkUniqueFrequency(arr, n);
// Print the result
if (res)
System.out.print("Yes" + "\n");
else
System.out.print("No" + "\n");
}
}
// This code is contributed by PrinciRaj1992
Python3
# Python3 code for
# the above approach
from collections import defaultdict
# Function to check whether the
# frequency of elements in array
# is unique or not.
def checkUniqueFrequency(arr, n):
# Freq map will store the frequency
# of each element of the array
freq = defaultdict (int)
# Store the frequency of each
# element from the array
for i in range (n):
freq[arr[i]] += 1
uniqueFreq = set([])
# Check whether frequency of any
# two or more elements are same
# or not. If yes, return false
for i in freq:
if (freq[i] in uniqueFreq):
return False
else:
uniqueFreq.add(freq[i])
# Return true if each
# frequency is unique
return True
# Driver Code
if __name__ == "__main__":
# Given array arr[]
arr = [1, 1, 2, 5, 5]
n = len(arr)
# Function Call
res = checkUniqueFrequency(arr, n)
# Print the result
if (res):
print ("Yes")
else:
print ("No")
# This code is contributed by Chitranayal
C#
// C# code for the above approach
using System;
using System.Collections.Generic;
class GFG{
// Function to check whether the
// frequency of elements in array
// is unique or not.
static bool checkUniqueFrequency(int []arr,
int n)
{
// Freq map will store the frequency
// of each element of the array
Dictionary freq = new Dictionary();
// Store the frequency of each
// element from the array
for(int i = 0; i < n; i++)
{
if(freq.ContainsKey(arr[i]))
{
freq[arr[i]] = freq[arr[i]] + 1;
}else
{
freq.Add(arr[i], 1);
}
}
HashSet uniqueFreq = new HashSet();
// Check whether frequency of any
// two or more elements are same
// or not. If yes, return false
foreach(KeyValuePair i in freq)
{
if (uniqueFreq.Contains(i.Value))
return false;
else
uniqueFreq.Add(i.Value);
}
// Return true if each
// frequency is unique
return true;
}
// Driver Code
public static void Main(String[] args)
{
// Given array []arr
int []arr = { 1, 1, 2, 5, 5 };
int n = arr.Length;
// Function call
bool res = checkUniqueFrequency(arr, n);
// Print the result
if (res)
Console.Write("Yes" + "\n");
else
Console.Write("No" + "\n");
}
}
// This code is contributed by sapnasingh4991
Javascript
No
时间复杂度: O(N),其中 N 是数组中元素的数量。
辅助空间: O(N)