suffix-tree | A C Implementation for Generalized Suffix Trees

 by   Rerito C++ Version: Current License: No License

kandi X-RAY | suffix-tree Summary

kandi X-RAY | suffix-tree Summary

suffix-tree is a C++ library. suffix-tree has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Here is a C++ implementation for Generalized Suffix Trees based on Ukkonen's algorithm.
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            kandi-support Support

              suffix-tree has a low active ecosystem.
              It has 16 star(s) with 8 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 2 open issues and 0 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of suffix-tree is current.

            kandi-Quality Quality

              suffix-tree has no bugs reported.

            kandi-Security Security

              suffix-tree has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              suffix-tree does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              suffix-tree releases are not available. You will need to build from source code and install.

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            suffix-tree Key Features

            No Key Features are available at this moment for suffix-tree.

            suffix-tree Examples and Code Snippets

            Inserts a new node into the suffix tree
            javascriptdot img1Lines of Code : 28dot img1License : Permissive (MIT License)
            copy iconCopy
            function addNode(suffix, current) {
                  // Empty string already exists in the suffix tree
                  if (!suffix) {
                    return;
                  }
                  // The suffix is already inside the tree
                  if (current.value === suffix) {
                    return;
                  }
                  
            A suffix tree .
            javascriptdot img2Lines of Code : 3dot img2License : Permissive (MIT License)
            copy iconCopy
            function SuffixTree() {
                this.root = new Node();
              }  

            Community Discussions

            QUESTION

            Shortest not repeatable Substring with Suffix-Tree
            Asked 2021-May-04 at 22:31

            I need to design an efficient algorithm that finds the Shortest non-repeatable Substring in a text. In essence; the shortest string that appears only once in a text. This has to be made only with suffix-tree

            Example 1:

            Text: AATGCCTA then Result: G

            Example 2:

            Text: AAAAGGGG then Result: AG

            ...

            ANSWER

            Answered 2021-May-04 at 22:31

            The shortes non-repeatable substring is the shortest unique prefix of all the suffixes.

            See Minimum Unique Substrings and Maximum Repeats by Lucian Ilie and W. F. Smyth.

            Source https://stackoverflow.com/questions/67392708

            QUESTION

            Implementing pattern matching in a trie tree
            Asked 2020-Apr-22 at 19:02

            I am currently using a trie implementation from this stack overflow post:

            Getting a list of words from a Trie

            to return a list of words which match a given prefix. I'm then using regex to filter out the words which don't meet the entire specified pattern.

            EX: if the pattern I'm searching for is: CH??S? and this is a subset of the dictionary which matches my initial prefix: {CHABAD, CHACHA, CHARIOT, CHATTED, CHEATER, CHOMSKY, CHANNEL CHAFED, CHAFER, CHAINS, CHAIRS, CHEESE, CHEESY CHRONO, CHUTES, CHISEL}

            I would search the trie with 'CH' prefix and then filter out words which match my desired pattern of CH??S? (CHEESY, CHEESE, CHISEL) and return those.

            I am wondering if there is a faster way to do this to avoid using the regex in the final step. I thought I could use a suffix tree (Ukkonen's suffix tree algorithm in plain English )or the boyer-moore algorithm but neither work because they search on suffixes not on patterns.

            ...

            ANSWER

            Answered 2020-Apr-22 at 19:02

            Here's a nice recursive algorithm you can use that eliminates the need to use a final regex pass. It works by matching a pattern P against a tree T:

            Source https://stackoverflow.com/questions/61371212

            QUESTION

            Adding dependencies to clojure projects using lein
            Asked 2019-Nov-22 at 01:16

            Despite adding the desired dependency to my project.clj file,

            ...

            ANSWER

            Answered 2019-Nov-22 at 01:16

            It seems to me the problem is that the library is for Clojure on the JVM only, and you are trying to use it on a ClojureScript project.

            No such namespace: opennlp.nlp, could not locate opennlp/nlp.cljs, opennlp/nlp.cljc, or JavaScript source providing "opennlp.nlp"

            The compiler tried to look for ClojureScript code (extension .cljs) or compatible with both Clojure and ClojureScript (extension .cljc) or plain JavaScript, but found none.

            Source https://stackoverflow.com/questions/58985920

            QUESTION

            How to create a fast autocomplete feature on the back-end
            Asked 2019-Mar-03 at 12:30

            I'm quite new to data structures but I was trying to implement an efficient city lookup / city autocomplete feature on the back-end of my application (A nodeJS express server).

            Originally I was only loading in memory an array of cities (which was around 20.000 cities); I'd let my client app search a city through the endpoint /search and return them a list of cities that matched what the user was searching:

            ...

            ANSWER

            Answered 2019-Mar-03 at 11:17

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install suffix-tree

            You can download it from GitHub.

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          • HTTPS

            https://github.com/Rerito/suffix-tree.git

          • CLI

            gh repo clone Rerito/suffix-tree

          • sshUrl

            git@github.com:Rerito/suffix-tree.git

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