trie

问题 I have created a trie tree as im learning python, here is the trie output {'a': {'b': {'c': {'_': '_'}}}, 'b': {'a': {'x': {'_': '_'}, 'r': {'_': '_', 'z': {'_': '_'}}, 'z': {'_': '_'}}}, 'h': {'e': {'l': {'l': {'o': {'_': '_'}}}}}} I am unable to list all the words back out of the trie, I'm obviously not understanding something simple, below is my code to create the trie and add to the trie as well as check if words are present in the trie. The method list is my poor attempt to list words,

问题 This sounds like a simple question, but I don't know how to search for its answer. I have a trie implementation in C# that will store about 80K words from a dictionary file. It takes quite a while to load all these words (more than 5 mins). I was wondering, what is the best way to "persist" those data so I don't have to reload all words every time I start the application? Thanks. 回答1: Like all other performance issues, the ideal solution will follow from profiling your current solution and

问题 I have a trie which I am using to do some string processing. I have a simple compiler which generates trie from some data. Once generated, my trie won't change at run time. I am looking for an approach where I can persist the trie in a file and load it effectively. I have looked at sqllite to understand how they are persisting b-tree but their file format looks bit advanced and I may not need all of those. It'd be helpful if someone can provide some ideas to persist and read the trie . I am

问题 I am implementing multibit trie in C. When I run the code, I get run-time error: bus error (core dumped). I am getting this error when I am adding different nodes through calling insert_rule method. I wrote comments in code to understand. This code is written as multibit.h header file and this methods are being called from another .c file. Codes in caller.c file are perfectly right. I also checked init_mtnode method by sample test code. Init_mtnode method is also perfectly fine. #define

问题 This is a hackerrank exercise, and although the problem itself is solved, my solution is apparently not efficient enough, so on most test cases I'm getting timeouts. Here's the problem: We're going to make our own Contacts application! The application must perform two types of operations: add name , where name is a string denoting a contact name. This must store as a new contact in the application. find partial , where partial is a string denoting a partial name to search the application for.

问题 I am trying to find out which will be more efficient in terms of speed of search, whether trie or B-Tree. I have a dictionary of English words and I want to locate a word in that dictionary efficiently. 回答1: If by "more efficient in time of search" you refer to theoretical time complexity, then B Tree offers O(logn * |S|) 1 time complexity for search, while a trie offers O(|S|) time complexity, where |S| is the length of the searched string, and n is the number of elements in dictionary. If

问题 I'm stuck with one project, I have to create a "word corrector" and I have to use the "Trie data structure", the thing is that I have to get the words from a file (I know how to do it) but I've implemented this Interface public interface Trie { public void add(); public boolean query(String word); public boolean isEmpty(); } Then I have a class TreeTrie which has a inner class Node public class TreeTrie implements Trie{ private static int cardinalityAlphabet= 0; private Node node; private

问题 I am trying to implement the trie as shown on the TopCoder page. I am modifying it a bit to store the phone numbers of the users. I am getting segmentation fault. Can some one please point out the error. #include<iostream> #include<stdlib.h> using namespace std; struct node{ int words; int prefix; long phone; struct node* children[26]; }; struct node* initialize(struct node* root) { root = new (struct node); for(int i=0;i<26;i++){ root->children[i] = NULL; } root->word = 0; root->prefix = 0;

问题 I am working on a project and need to search in data of millions of customers. I want to implement radix(trie) search algorithm. I have read and implement radix for a simple string collections. But Here I have a collection of customers and want to search it by name or by mobile number. Customer Class: public class Customer { String name; String mobileNumer; public Customer (String name, String phoneNumer) { this.name = name; this.mobileNumer = phoneNumer; } public String getName() { return

问题 I'm implementing an algorithm to do directory matching. So I'm given a set of valid paths that can include wildcards (denoted by "X"). Then when I pass in an input I need to know if that input matches with one of the paths in my valid set. I'm running into a problem with the wildcards when a wildcard value that is passed in actually matches with another valid value. Here is an example: Set of valid paths: /guest /guest/X /X/guest /member /member/friends /member/X /member/X/friends Example