Rechercher toutes les chaînes correspondant à un modèle spécifique dans un dictionnaire
Essayez-le sur GfG Practice 
#practiceLinkDiv { display : aucun !important; }
#practiceLinkDiv { display : aucun !important; } Étant donné un dictionnaire de mots, recherchez toutes les chaînes qui correspondent au modèle donné, chaque caractère du modèle étant mappé de manière unique à un caractère du dictionnaire.
Exemples :
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 Correspondre à un modèle spécifique Essayez-le !
Méthode 1 :
Approche: Le but est de savoir si le mot a la même structure que le motif. Une approche de ce problème peut consister à hacher le mot et le modèle et à comparer s'ils sont égaux ou non. Dans un langage simple, nous attribuons différents nombres entiers aux caractères distincts du mot et formons une chaîne de nombres entiers. (hachage du mot) en fonction de l'occurrence d'un caractère particulier dans ce mot, puis comparez-le avec le hachage du modèle.
Exemple:
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
Algorithme :
- Encodez le modèle selon l'approche ci-dessus et stockez le hachage correspondant du modèle dans une variable de chaîne hacher .
- Initialiser un compteur je = 0 qui mappera un caractère distinct avec des entiers distincts.
- Lisez la chaîne et si le caractère actuel n'est pas mappé à un entier, mappez-le à la valeur du compteur et incrémentez-le.
- Concatène l'entier mappé au caractère actuel au chaîne de hachage .
- Maintenant, lisez chaque mot et faites-en un hachage en utilisant le même algorithme.
- Si le hachage du mot actuel est égal au hachage du modèle, alors ce mot est inclus dans la réponse finale.
- Créez un tableau de caractères dans lequel nous pouvons mapper les caractères des modèles avec un caractère correspondant d'un mot.
- Vérifiez d'abord si la longueur du mot et du motif est égale ou non si Non puis vérifiez le mot suivant.
- Si la longueur est égale, parcourez le motif et si le caractère actuel du motif n'a pas encore été mappé, mappez-le au caractère correspondant du mot.
- Si le caractère actuel est mappé, vérifiez si le caractère avec lequel il a été mappé est égal au caractère actuel du mot.
- Si Non alors le mot ne suit pas le modèle donné.
- Si le mot suit le modèle jusqu'au dernier caractère, imprimez le mot.
Pseudo-code :
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>
Sortir
xyy abb
Analyse de complexité :
Ici, « N » est le nombre de mots et « K » est sa longueur. Comme nous devons parcourir chaque mot séparément pour créer son hachage.
L'utilisation de hash_map la structure de données pour le mappage des caractères prend cette quantité d'espace.
Méthode 2 :
Approche: Discutons maintenant d'une approche un peu plus conceptuelle qui constitue une application encore meilleure des cartes. Au lieu de faire un hachage pour chaque mot, nous pouvons mapper les lettres du motif lui-même avec la lettre correspondante du mot. Si le caractère actuel n'a pas été mappé, mappez-le au caractère correspondant du mot et s'il a déjà été mappé, vérifiez si la valeur avec laquelle il a été mappé précédemment est la même que la valeur actuelle du mot ou non. L’exemple ci-dessous rendra les choses faciles à comprendre.
Exemple:
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 Algorithme :
Pseudo-code :
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>
Sortir
xyy abb
Analyse de complexité :
Pour parcourir chaque mot, ce sera le temps requis.
L'utilisation de hash_map la structure de données pour le mappage des caractères consomme N espace.
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