Dada una array de N enteros. Cada elemento de la array aparece el mismo número de veces excepto un elemento. La tarea es encontrar este elemento.
Ejemplos:
Input : arr[] = {1, 1, 2, 2, 3} Output : 3 Input : arr[] = {0, 1, 2, 4, 4} Output : 4
La idea es usar una frecuencia de tabla hash para almacenar las frecuencias de elementos dados. Una vez que tenemos frecuencias en la tabla hash, podemos recorrer la tabla para encontrar el único valor que es diferente de los demás.
A continuación se muestra la implementación de la idea anterior:
C++
// C++ program to find the element having // different frequency than other array // elements having same frequency #include <bits/stdc++.h> using namespace std; // Function to find the element having // different frequency from other array // elements with same frequency int findElement(int arr[], int n) { // Store frequencies of elements unordered_map<int, int> freq; for (int i = 0; i < n; i++) { // increase the value by 1 for every // time the element occurs in an array freq[arr[i]]++; } // Below code is used find the only different // value in freq. auto it = freq.begin(); int fst_fre = it->second, fst_ele = it->first; if (freq.size() <= 2) return fst_fre; it++; int sec_fre = it->second, sec_ele = it->first; it++; int trd_fre = it->second, trd_ele = it->first; if (sec_fre == fst_fre && sec_fre != trd_fre) return trd_ele; if (sec_fre == trd_fre && sec_fre != fst_fre) return fst_ele; if (fst_fre == trd_fre && sec_fre != fst_fre) return sec_ele; // We reach here when first three frequencies are same it++; for (; it != freq.end(); it++) { if (it->second != fst_fre) return it->first; } return -1; } // Driver code int main() { int arr[] = { 0, 1, 2, 4, 4 }; int n = sizeof(arr) / sizeof(arr[0]); cout << findElement(arr, n) << endl; return 0; }
Python3
# Python program to find the element having # different frequency than other array # elements having same frequency # Function for above implementation def findElement(arr, n) : # Empty dictionary to hold the values freq = {} # Initialization of frequencies of each # element to 0 for i in range(0, n) : freq[arr[i]] = 0 # Count of frequencies of elements for i in range(0, n) : freq[arr[i]] = freq[arr[i]] + 1 # Storing the first value of dictionary trd_ele = freq[0] # Variable to hold the final result position = -1 # Following loop iterates through the dictionary # and checks if frequencies are different # from the frequency of the first element for i in freq : flag = freq[i] if trd_ele != flag : # Difference has been detected position = i break # Following lines of code checks if the first # element is itself the required anomaly by # comparing the frequencies of first 3 elements fst_ele = freq[1] sec_ele = freq[2] if trd_ele != fst_ele : if trd_ele != sec_ele : for i in freq : # First element is the desired result position = i break # Final result is returned return position # Driver code arr = [ 0, 1, 2, 4, 4 ] # Variable to store length of array n = len(arr) print (findElement(arr, n)) # This code is contributed by Pratik Basu
Producción:
4
Tiempo Complejidad : O(n)
Espacio Auxiliar : O(n)
Publicación traducida automáticamente
Artículo escrito por saurabh_shukla y traducido por Barcelona Geeks. The original can be accessed here. Licence: CCBY-SA