Găsiți toate șirurile care se potrivesc cu un anumit model într-un dicționar
#practiceLinkDiv { display: none !important; } Având în vedere un dicționar de cuvinte, găsiți toate șirurile care se potrivesc cu modelul dat, unde fiecare caracter din model este mapat în mod unic la un caracter din dicționar.
Exemple:
Input: dict = ['abb' 'abc' 'xyz' 'xyy']; pattern = 'foo' Output: [xyy abb] xyy and abb have same character at index 1 and 2 like the pattern Input: dict = ['abb' 'abc' 'xyz' 'xyy']; pat = 'mno' Output: [abc xyz] abc and xyz have all distinct characters similar to the pattern. Input: dict = ['abb' 'abc' 'xyz' 'xyy']; pattern = 'aba' Output: [] Pattern has same character at index 0 and 2. No word in dictionary follows the pattern. Input: dict = ['abab' 'aba' 'xyz' 'xyx']; pattern = 'aba' Output: [aba xyx] aba and xyx have same character at index 0 and 2 like the patternRecommended Practice Potriviți modelul specific Încearcă!
Metoda 1:
Abordare: Scopul este de a afla dacă cuvântul are aceeași structură cu modelul. O abordare a acestei probleme poate fi să faceți un hash din cuvânt și model și să comparați dacă sunt egale sau nu. Într-un limbaj simplu, atribuim diferite numere întregi caracterelor distincte ale cuvântului și facem un șir de numere întregi (hash al cuvântului) în funcție de apariția unui anumit caracter în acel cuvânt și apoi comparați-l cu hașul modelului.
Exemplu:
Word='xxyzzaabcdd' Pattern='mmnoopplfmm' For word-: map['x']=1; map['y']=2; map['z']=3; map['a']=4; map['b']=5; map['c']=6; map['d']=7; Hash for Word='11233445677' For Pattern-: map['m']=1; map['n']=2; map['o']=3; map['p']=4; map['l']=5; map['f']=6; Hash for Pattern='11233445611' Therefore in the given example Hash of word is not equal to Hash of pattern so this word is not included in the answer
Algoritm:
- Codați modelul conform abordării de mai sus și stocați hash-ul corespunzător al modelului într-o variabilă șir hash .
- Inițializați un contor i=0 care va mapa caracter distinct cu numere întregi distincte.
- Citiți șirul și dacă caracterul curent nu este mapat la un întreg mapați-l la valoarea contorului și creșteți-l.
- Concatenează întregul mapat la caracterul curent la șir hash .
- Acum citiți fiecare cuvânt și faceți un hash din el folosind același algoritm.
- Dacă hash-ul cuvântului curent este egal cu hash-ul modelului, atunci acel cuvânt este inclus în răspunsul final.
- Creați o matrice de caractere în care putem mapa caracterele tiparelor cu un caracter corespunzător unui cuvânt.
- Mai întâi verificați dacă lungimea cuvântului și a modelului este egală sau nu dacă nu apoi verifică cuvântul următor.
- Dacă lungimea este egală, traversați modelul și dacă caracterul curent al modelului nu a fost încă mapat la caracterul corespunzător al cuvântului.
- Dacă caracterul curent este mapat, atunci verificați dacă caracterul cu care a fost mapat este egal cu caracterul curent al cuvântului.
- Dacă nu atunci cuvântul nu urmează modelul dat.
- Dacă cuvântul urmează modelul până la ultimul caracter, imprimați cuvântul.
Pseudo cod:
int i=0 Declare map for character in pattern: if(map[character]==map.end()) map[character]=i++; hash_pattern+=to_string(mp[character]) for words in dictionary: i=0; Declare map if(words.length==pattern.length) for character in words: if(map[character]==map.end()) map[character]=i++ hash_word+=to_string(map[character) if(hash_word==hash_pattern) print wordsC++
// C++ program to print all // the strings that match the // given pattern where every // character in the pattern is // uniquely mapped to a character // in the dictionary #include using namespace std ; // Function to encode given string string encodeString ( string str ) { unordered_map < char int > map ; string res = '' ; int i = 0 ; // for each character in given string for ( char ch : str ) { // If the character is occurring // for the first time assign next // unique number to that char if ( map . find ( ch ) == map . end ()) map [ ch ] = i ++ ; // append the number associated // with current character into the // output string res += to_string ( map [ ch ]); } return res ; } // Function to print all the // strings that match the // given pattern where every // character in the pattern is // uniquely mapped to a character // in the dictionary void findMatchedWords ( unordered_set < string > dict string pattern ) { // len is length of the pattern int len = pattern . length (); // Encode the string string hash = encodeString ( pattern ); // for each word in the dictionary for ( string word : dict ) { // If size of pattern is same as // size of current dictionary word // and both pattern and the word // has same hash print the word if ( word . length () == len && encodeString ( word ) == hash ) cout < < word < < ' ' ; } } // Driver code int main () { unordered_set < string > dict = { 'abb' 'abc' 'xyz' 'xyy' }; string pattern = 'foo' ; findMatchedWords ( dict pattern ); return 0 ; }
Java // Java program to print all the // strings that match the // given pattern where every // character in the pattern is // uniquely mapped to a character // in the dictionary import java.io.* ; import java.util.* ; class GFG { // Function to encode given string static String encodeString ( String str ) { HashMap < Character Integer > map = new HashMap <> (); String res = '' ; int i = 0 ; // for each character in given string char ch ; for ( int j = 0 ; j < str . length (); j ++ ) { ch = str . charAt ( j ); // If the character is occurring for the first // time assign next unique number to that char if ( ! map . containsKey ( ch )) map . put ( ch i ++ ); // append the number associated with current // character into the output string res += map . get ( ch ); } return res ; } // Function to print all // the strings that match the // given pattern where every // character in the pattern is // uniquely mapped to a character // in the dictionary static void findMatchedWords ( String [] dict String pattern ) { // len is length of the pattern int len = pattern . length (); // encode the string String hash = encodeString ( pattern ); // for each word in the dictionary array for ( String word : dict ) { // If size of pattern is same // as size of current // dictionary word and both // pattern and the word // has same hash print the word if ( word . length () == len && encodeString ( word ). equals ( hash )) System . out . print ( word + ' ' ); } } // Driver code public static void main ( String args [] ) { String [] dict = { 'abb' 'abc' 'xyz' 'xyy' }; String pattern = 'foo' ; findMatchedWords ( dict pattern ); } // This code is contributed // by rachana soma }
Python3 # Python3 program to print all the # strings that match the # given pattern where every # character in the pattern is # uniquely mapped to a character # in the dictionary # Function to encode # given string def encodeString ( Str ): map = {} res = '' i = 0 # For each character # in given string for ch in Str : # If the character is occurring # for the first time assign next # unique number to that char if ch not in map : map [ ch ] = i i += 1 # Append the number associated # with current character into # the output string res += str ( map [ ch ]) return res # Function to print all # the strings that match the # given pattern where every # character in the pattern is # uniquely mapped to a character # in the dictionary def findMatchedWords ( dict pattern ): # len is length of the # pattern Len = len ( pattern ) # Encode the string hash = encodeString ( pattern ) # For each word in the # dictionary array for word in dict : # If size of pattern is same # as size of current # dictionary word and both # pattern and the word # has same hash print the word if ( len ( word ) == Len and encodeString ( word ) == hash ): print ( word end = ' ' ) # Driver code dict = [ 'abb' 'abc' 'xyz' 'xyy' ] pattern = 'foo' findMatchedWords ( dict pattern ) # This code is contributed by avanitrachhadiya2155
C# // C# program to print all the strings // that match the given pattern where // every character in the pattern is // uniquely mapped to a character in the dictionary using System ; using System.Collections.Generic ; public class GFG { // Function to encode given string static String encodeString ( String str ) { Dictionary < char int > map = new Dictionary < char int > (); String res = '' ; int i = 0 ; // for each character in given string char ch ; for ( int j = 0 ; j < str . Length ; j ++ ) { ch = str [ j ]; // If the character is occurring for the first // time assign next unique number to that char if ( ! map . ContainsKey ( ch )) map . Add ( ch i ++ ); // append the number associated with current // character into the output string res += map [ ch ]; } return res ; } // Function to print all the // strings that match the // given pattern where every // character in the pattern is // uniquely mapped to a character // in the dictionary static void findMatchedWords ( String [] dict String pattern ) { // len is length of the pattern int len = pattern . Length ; // encode the string String hash = encodeString ( pattern ); // for each word in the dictionary array foreach ( String word in dict ) { // If size of pattern is same as // size of current dictionary word // and both pattern and the word // has same hash print the word if ( word . Length == len && encodeString ( word ). Equals ( hash )) Console . Write ( word + ' ' ); } } // Driver code public static void Main ( String [] args ) { String [] dict = { 'abb' 'abc' 'xyz' 'xyy' }; String pattern = 'foo' ; findMatchedWords ( dict pattern ); } } // This code is contributed by 29AjayKumar
JavaScript < script > // Javascript program to print all the // strings that match the // given pattern where every // character in the pattern is // uniquely mapped to a character // in the dictionary // Function to encode given string function encodeString ( str ) { let map = new Map (); let res = '' ; let i = 0 ; // for each character in given string let ch ; for ( let j = 0 ; j < str . length ; j ++ ) { ch = str [ j ]; // If the character is occurring for the first // time assign next unique number to that char if ( ! map . has ( ch )) map . set ( ch i ++ ); // append the number associated with current // character into the output string res += map . get ( ch ); } return res ; } // Function to print all // the strings that match the // given pattern where every // character in the pattern is // uniquely mapped to a character // in the dictionary function findMatchedWords ( dict pattern ) { // len is length of the pattern let len = pattern . length ; // encode the string let hash = encodeString ( pattern ); // for each word in the dictionary array for ( let word = 0 ; word < dict . length ; word ++ ) { // If size of pattern is same // as size of current // dictionary word and both // pattern and the word // has same hash print the word if ( dict [ word ]. length == len && encodeString ( dict [ word ]) == ( hash )) document . write ( dict [ word ] + ' ' ); } } // Driver code let dict = [ 'abb' 'abc' 'xyz' 'xyy' ]; let pattern = 'foo' ; findMatchedWords ( dict pattern ); // This code is contributed by unknown2108 < /script>
Ieșire
xyy abb
Analiza complexității:
Aici „N” este numărul de cuvinte și „K” este lungimea acestuia. Deoarece trebuie să parcurgem fiecare cuvânt separat pentru a-și crea hash.
Utilizarea hash_map structura de date pentru maparea caracterelor ocupă această cantitate de spațiu.
Metoda 2:
Abordare: Acum să discutăm o abordare mai conceptuală, care este o aplicație și mai bună a hărților. În loc să facem un hash pentru fiecare cuvânt, putem mapa literele modelului însuși cu litera corespunzătoare a cuvântului. În cazul în care caracterul curent nu a fost mapat, mapați-l cu caracterul corespunzător al cuvântului și dacă a fost deja mapat, verificați dacă valoarea cu care a fost mapat mai devreme este aceeași cu valoarea curentă a cuvântului sau nu. Exemplul de mai jos va face lucrurile ușor de înțeles.
Exemplu:
Word='xxyzzaa' Pattern='mmnoopp' Step 1-: map['m'] = x Step 2-: 'm' is already mapped to some value check whether that value is equal to current character of word-:YES ('m' is mapped to x). Step 3-: map['n'] = y Step 4-: map['o'] = z Step 5-: 'o' is already mapped to some value check whether that value is equal to current character of word-:YES ('o' is mapped to z). Step 6-: map['p'] = a Step 7-: 'p' is already mapped to some value check whether that value is equal to current character of word-: YES ('p' is mapped to a). No contradiction so current word matches the pattern Algoritm:
Pseudo cod:
for words in dictionary: char arr_map[128]=0 char map_word[128]=0 if(words.length==pattern.length) for 0 to length of pattern: if(arr_map[character in pattern]==0 && map_word[character in word]==0) arr_map[character in pattern]=word[character in word] map_word[character in word]=pattern[character in pattern] else if(arr_map[character]!=word[character] ||map_word[character]!=pattern[character] ) break the loop If above loop runs successfully Print(words)C++
// C++ program to print all // the strings that match the // given pattern where every // character in the pattern is // uniquely mapped to a character // in the dictionary #include using namespace std ; bool check ( string pattern string word ) { if ( pattern . length () != word . length ()) return false ; char ch [ 128 ] = { 0 }; char map_word [ 128 ] = { 0 }; int len = word . length (); for ( int i = 0 ; i < len ; i ++ ) { if ( ch [ pattern [ i ]] == 0 && map_word [ word [ i ] ] == 0 ) { ch [ pattern [ i ]] = word [ i ]; map_word [ word [ i ] ] = pattern [ i ]; } else if ( ch [ pattern [ i ]] != word [ i ] || map_word [ word [ i ] ] != pattern [ i ]) return false ; } return true ; } // Function to print all the // strings that match the // given pattern where every // character in the pattern is // uniquely mapped to a character // in the dictionary void findMatchedWords ( unordered_set < string > dict string pattern ) { // len is length of the pattern int len = pattern . length (); // for each word in the dictionary for ( string word : dict ) { if ( check ( pattern word )) cout < < word < < ' ' ; } } // Driver code int main () { unordered_set < string > dict = { 'abb' 'abc' 'xyz' 'xyy' 'bbb' }; string pattern = 'foo' ; findMatchedWords ( dict pattern ); return 0 ; } // This code is contributed by Ankur Goel And Priobrata Malik
Java // Java program to print all // the strings that match the // given pattern where every // character in the pattern is // uniquely mapped to a character // in the dictionary import java.util.* ; class GFG { static boolean check ( String pattern String word ) { if ( pattern . length () != word . length ()) return false ; int [] ch = new int [ 128 ] ; int Len = word . length (); for ( int i = 0 ; i < Len ; i ++ ) { if ( ch [ ( int ) pattern . charAt ( i ) ] == 0 ) { ch [ ( int ) pattern . charAt ( i ) ] = word . charAt ( i ); } else if ( ch [ ( int ) pattern . charAt ( i ) ] != word . charAt ( i )) { return false ; } } return true ; } // Function to print all the // strings that match the // given pattern where every // character in the pattern is // uniquely mapped to a character // in the dictionary static void findMatchedWords ( HashSet < String > dict String pattern ) { // len is length of the pattern int Len = pattern . length (); // For each word in the dictionary String result = ' ' ; for ( String word : dict ) { if ( check ( pattern word )) { result = word + ' ' + result ; } } System . out . print ( result ); } // Driver code public static void main ( String [] args ) { HashSet < String > dict = new HashSet < String > (); dict . add ( 'abb' ); dict . add ( 'abc' ); dict . add ( 'xyz' ); dict . add ( 'xyy' ); String pattern = 'foo' ; findMatchedWords ( dict pattern ); } } // This code is contributed by divyeshrabadiya07
Python3 # Python3 program to print all # the strings that match the # given pattern where every # character in the pattern is # uniquely mapped to a character # in the dictionary def check ( pattern word ): if ( len ( pattern ) != len ( word )): return False ch = [ 0 for i in range ( 128 )] Len = len ( word ) for i in range ( Len ): if ( ch [ ord ( pattern [ i ])] == 0 ): ch [ ord ( pattern [ i ])] = word [ i ] else if ( ch [ ord ( pattern [ i ])] != word [ i ]): return False return True # Function to print all the # strings that match the # given pattern where every # character in the pattern is # uniquely mapped to a character # in the dictionary def findMatchedWords ( Dict pattern ): # len is length of the pattern Len = len ( pattern ) # For each word in the dictionary for word in range ( len ( Dict ) - 1 - 1 - 1 ): if ( check ( pattern Dict [ word ])): print ( Dict [ word ] end = ' ' ) # Driver code Dict = [ 'abb' 'abc' 'xyz' 'xyy' ] pattern = 'foo' findMatchedWords ( Dict pattern ) # This code is contributed by rag2127
C# // C# program to print all // the strings that match the // given pattern where every // character in the pattern is // uniquely mapped to a character // in the dictionary using System ; using System.Collections ; using System.Collections.Generic ; class GFG { static bool check ( string pattern string word ) { if ( pattern . Length != word . Length ) return false ; int [] ch = new int [ 128 ]; int Len = word . Length ; for ( int i = 0 ; i < Len ; i ++ ) { if ( ch [( int ) pattern [ i ]] == 0 ) { ch [( int ) pattern [ i ]] = word [ i ]; } else if ( ch [( int ) pattern [ i ]] != word [ i ]) { return false ; } } return true ; } // Function to print all the // strings that match the // given pattern where every // character in the pattern is // uniquely mapped to a character // in the dictionary static void findMatchedWords ( HashSet < string > dict string pattern ) { // len is length of the pattern int Len = pattern . Length ; // For each word in the dictionary string result = ' ' ; foreach ( string word in dict ) { if ( check ( pattern word )) { result = word + ' ' + result ; } } Console . Write ( result ); } // Driver Code static void Main () { HashSet < string > dict = new HashSet < string > ( new string []{ 'abb' 'abc' 'xyz' 'xyy' }); string pattern = 'foo' ; findMatchedWords ( dict pattern ); } } // This code is contributed by divyesh072019
JavaScript < script > // Javascript program to print all // the strings that match the // given pattern where every // character in the pattern is // uniquely mapped to a character // in the dictionary function check ( pattern word ) { if ( pattern . length != word . length ) return false ; let ch = new Array ( 128 ); for ( let i = 0 ; i < 128 ; i ++ ) { ch [ i ] = 0 ; } let Len = word . length ; for ( let i = 0 ; i < Len ; i ++ ) { if ( ch [ pattern [ i ]. charCodeAt ( 0 )] == 0 ) { ch [ pattern [ i ]. charCodeAt ( 0 )] = word [ i ]; } else if ( ch [ pattern [ i ]. charCodeAt ( 0 )] != word [ i ]) { return false ; } } return true ; } // Function to print all the // strings that match the // given pattern where every // character in the pattern is // uniquely mapped to a character // in the dictionary function findMatchedWords ( dict pattern ) { // len is length of the pattern let Len = pattern . length ; // For each word in the dictionary let result = ' ' ; for ( let word of dict . values ()) { if ( check ( pattern word )) { result = word + ' ' + result ; } } document . write ( result ); } // Driver code let dict = new Set (); dict . add ( 'abb' ); dict . add ( 'abc' ); dict . add ( 'xyz' ); dict . add ( 'xyy' ); let pattern = 'foo' ; findMatchedWords ( dict pattern ); // This code is contributed by patel2127 < /script>
Ieșire
xyy abb
Analiza complexității:
Pentru a parcurge fiecare cuvânt, aceasta va fi necesarul de timp.
Utilizarea hash_map structura de date pentru maparea caracterelor consumă N spațiu.