Dada una array de strings arr[] , la tarea es encontrar la string más grande en la array que se compone de las otras strings de la array después de concatenar una tras otra. Si no existe tal string, imprima -1 .
Ejemplos:
Entrada: arr[] = {“geeks”, “for”, “geeksfor”, “geeksforgeeks”}
Salida: geeksforgeeks
“geeksforgeeks” se compone de (“geeks” + “for” + “geeks”).
Aunque «geeksfor» también se compone de otras strings
, no es la string más grande.
Entrada: arr[] = {“Oye”, “tú”, “detente”, “derecha”, “allí”}
Salida: -1
Acercarse:
- Ordena todas las strings según su longitud en orden decreciente.
- Ahora, a partir de la string más larga. Verifique todos los prefijos posibles de la string si está presente en la array dada y para la parte restante de la string, verifique recursivamente si se puede formar a partir de otras strings de la array.
- El mapa se puede usar para verificar si existe una string en la array o no. La primera string que satisface las condiciones anteriores es la respuesta.
- Si no existe tal string, imprima -1.
A continuación se muestra la implementación del enfoque anterior:
C++
// C++ implementation of the approach #include <bits/stdc++.h> using namespace std; // Comparator to sort the string by // their lengths in decreasing order bool compare(string s1, string s2) { return s1.size() > s2.size(); } // Function that returns true if string s can be // made up of by other two string from the array // after concatenating one after another bool canbuildword(string& s, bool isoriginalword, map<string, bool>& mp) { // If current string has been processed before if (mp.find(s) != mp.end() && mp[s] == 0) return false; // If current string is found in the map and // it is not the string under consideration if (mp.find(s) != mp.end() && mp[s] == 1 && isoriginalword == 0) { return true; } for (int i = 1; i < s.length(); i++) { // Split the string into two // contiguous sub-strings string left = s.substr(0, i); string right = s.substr(i); // If left sub-string is found in the map and // the right sub-string can be made from // the strings from the given array if (mp.find(left) != mp.end() && mp[left] == 1 && canbuildword(right, 0, mp)) { return true; } } // If everything failed, we return false mp[s] = 0; return false; } // Function to return the longest string // that can made be made up from the // other string of the given array string printlongestword(vector<string> listofwords) { // Put all the strings in the map map<string, bool> mp; for (string s : listofwords) { mp[s] = 1; } // Sort the string in decreasing // order of their lengths sort(listofwords.begin(), listofwords.end(), compare); // Starting from the longest string for (string s : listofwords) { // If current string can be made // up from other strings if (canbuildword(s, 1, mp)) return s; } return "-1"; } // Driver code int main() { vector<string> listofwords = { "geeks", "for", "geeksfor", "geeksforgeeks" }; cout << printlongestword(listofwords); return 0; }
Python3
# Python implementation of the approach # Function that returns true if string s can be # made up of by other two string from the array # after concatenating one after another def canbuildword(s, isoriginalword, mp): # If current string has been processed before if s in mp and mp[s] == 0: return False # If current string is found in the map and # it is not the string under consideration if s in mp and mp[s] == 1 and isoriginalword == 0: return True for i in range(1, len(s)): # Split the string into two # contiguous sub-strings left = s[:i] right = s[i:] # If left sub-string is found in the map and # the right sub-string can be made from # the strings from the given array if left in mp and mp[left] == 1 and canbuildword(right, 0, mp): return True # If everything failed, we return false mp[s] = 0 return False # Function to return the longest string # that can made be made up from the # other string of the given array def printlongestword(listofwords): # Put all the strings in the map mp = dict() for i in listofwords: mp[i] = 1 # Sort the string in decreasing # order of their lengths listofwords.sort(key=lambda x: len(x), reverse=True) # Starting from the longest string for i in listofwords: # If current string can be made # up from other strings if canbuildword(i, 1, mp): return i return "-1" # Driver code if __name__ == "__main__": listofwords = ["geeks", "for", "geeksfor", "geeksforgeeks"] print(printlongestword(listofwords)) # This code is contributed by # sanjeev2552
Javascript
<script> // JavaScript implementation of the approach // Comparator to sort the string by // their lengths in decreasing order function compare(s1, s2) { return s2.length - s1.length; } // Function that returns true if string s can be // made up of by other two string from the array // after concatenating one after another function canbuildword(s,isoriginalword,mp) { // If current string has been processed before if (mp.has(s) && mp.get(s) == 0) return false; // If current string is found in the map and // it is not the string under consideration if (mp.has(s) && mp.get(s) == 1 && isoriginalword == 0) { return true; } for (let i = 1; i < s.length; i++) { // Split the string into two // contiguous sub-strings let left = s.substring(0, i); let right = s.substring(i); // If left sub-string is found in the map and // the right sub-string can be made from // the strings from the given array if (mp.has(left) == true && mp.get(left) == 1 && canbuildword(right, 0, mp)) { return true; } } // If everything failed, we return false mp.set(s,0); return false; } // Function to return the longest string // that can made be made up from the // other string of the given array function printlongestword(listofwords) { // Put all the strings in the map let mp = new Map(); for (let s of listofwords) { mp.set(s,1); } // Sort the string in decreasing // order of their lengths listofwords.sort(compare); // Starting from the longest string for (let s of listofwords) { // If current string can be made // up from other strings if (canbuildword(s, 1, mp)) return s; } return "-1"; } // Driver code let listofwords = [ "geeks", "for", "geeksfor", "geeksforgeeks" ]; document.write(printlongestword(listofwords)); // This code is contributed by shinjanpatra </script>
geeksforgeeks
Complejidad temporal: O(N^3)
Espacio auxiliar : O(N).
Publicación traducida automáticamente
Artículo escrito por Ripunjoy Medhi y traducido por Barcelona Geeks. The original can be accessed here. Licence: CCBY-SA