SuffixTree | Optimized implementation of suffix tree | Computer Vision library

 by   kasravnd Python Version: Current License: No License

kandi X-RAY | SuffixTree Summary

kandi X-RAY | SuffixTree Summary

SuffixTree is a Python library typically used in Artificial Intelligence, Computer Vision, Example Codes applications. SuffixTree has no bugs, it has no vulnerabilities and it has low support. However SuffixTree build file is not available. You can download it from GitHub.

Optimized implementation of suffix tree in python using Ukkonen's algorithm.
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              SuffixTree has a low active ecosystem.
              It has 36 star(s) with 12 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 0 have been closed. On average issues are closed in 1037 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of SuffixTree is current.

            kandi-Quality Quality

              SuffixTree has 0 bugs and 0 code smells.

            kandi-Security Security

              SuffixTree has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              SuffixTree code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              SuffixTree 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

              SuffixTree releases are not available. You will need to build from source code and install.
              SuffixTree has no build file. You will be need to create the build yourself to build the component from source.
              SuffixTree saves you 92 person hours of effort in developing the same functionality from scratch.
              It has 236 lines of code, 19 functions and 4 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed SuffixTree and discovered the below as its top functions. This is intended to give you an instant insight into SuffixTree implemented functionality, and help decide if they suit your requirements.
            • extend the suffix tree
            • Traverse the tree traversal .
            • Determines if the current node is up to the current node .
            • initialize the tree
            • Recursively find all matches
            • creates a new node
            • Check if the sub_string is empty .
            • Get the attribute of the node .
            • Checks equality operator .
            • Checks if the node has no effect .
            Get all kandi verified functions for this library.

            SuffixTree Key Features

            No Key Features are available at this moment for SuffixTree.

            SuffixTree Examples and Code Snippets

            No Code Snippets are available at this moment for SuffixTree.

            Community Discussions

            QUESTION

            How to update Class Variable that is constantly changing
            Asked 2020-May-13 at 09:25

            I am trying to update the end variable in my SuffixNode Class, automatically. What I mean is I have created a SuffixNode in the following code, and I assigned the endIndex.end as the SuffixNode's end value. Then I update the endIndex.end to 2. However, when I print the (self.root.end) out after I updated the endIndex.end value, the end value store in SuffixNode is still showing 1 rather than show the updated 2.

            Can anyone provide me with a suggestion on how should I modify the code, so that when I update the endIndex.end, the end value store in the SuffixNode will also update automatically.

            Thank you

            Below is the code

            class EndIndex: def init(self, endIndexValue): self.end = endIndexValue

            ...

            ANSWER

            Answered 2020-May-13 at 09:15

            You don't need to create endIndex in your code at all. And that's the only change that you need to make. So, your SuffixTree should be like that:

            Source https://stackoverflow.com/questions/61770511

            QUESTION

            String.Substring() seems to bottleneck this code
            Asked 2018-Aug-12 at 16:22

            Introduction

            I have this favorite algorithm that I've made quite some time ago which I'm always writing and re-writing in new programming languages, platforms etc. as some sort of benchmark. Although my main programming language is C# I've just quite literally copy-pasted the code and changed the syntax slightly, built it in Java and found it to run 1000x faster.

            The Code

            There is quite a bit of code but I'm only going to present this snippet which seems to be the main issue:

            ...

            ANSWER

            Answered 2018-Aug-12 at 16:22

            Issue Origin

            After having a glorious battle that lasted two days and three nights (and amazing ideas and thoughts from the comments) I've finally managed to fix this issue!

            I'd like to post an answer for anybody running into similar issues where the string.Substring(i, j) function is not an acceptable solution to get the substring of a string because the string is either too large and you can't afford the copying done by string.Substring(i, j) (it has to make a copy because C# strings are immutable, no way around it) or the string.Substring(i, j) is being called a huge number of times over the same string (like in my nested for loops) giving the garbage collector a hard time, or as in my case both!

            Attempts

            I've tried many suggested things such as the StringBuilder, Streams, unmanaged memory allocation using Intptr and Marshal within the unsafe{} block and even creating an IEnumerable and yield return the characters by reference within the given positions. All of these attempts failed ultimatively because some form of joining of the data had to be done as there was no easy way for me to traverse my tree character by character without jeopardizing performance. If only there was a way to span over multiple memory addresses within an array at once like you would be able to in C++ with some pointer arithmetic.. except there is.. (credits to @Ivan Stoev's comment)

            The Solution

            The solution was using System.ReadOnlySpan (couldn't be System.Span due to strings being immutable) which, among other things, allows us to read sub arrays of memory addresses within an existing array without creating copies.

            This piece of the code posted:

            Source https://stackoverflow.com/questions/51673659

            QUESTION

            Generalised suffix tree traversal to find longest common substring
            Asked 2017-Aug-19 at 20:40

            I'm working with suffix trees. As far as I can tell, I have Ukkonen's algorithm running correctly to build a generalised suffix tree from an arbitrary number of strings. I'm now trying to implement a find_longest_common_substring() method to do exactly that. For this to work, I understand that I need to find the deepest shared edge (with depth in terms of characters, rather than edges) between all strings in the tree, and I've been struggling for a few days to get the traversal right.

            Right now I have the following in C++. I'll spare you all my code, but for context, I'm keeping the edges of each node in an unordered_map called outgoing_edges, and each edge has a vector of ints recorded_strings containing integers identifying the added strings. The child field of an edge is the node it is going to, and l and r identify its left and rightmost indices, respectively. Finally, current_string_number is the current number of strings in the tree.

            ...

            ANSWER

            Answered 2017-Aug-19 at 20:40

            Your handling of deepest_shared_edge is wrong. First, the allocation you do at the start of the function is a memory leak, since you never free the memory. Secondly, the result of the recursive call is ignored, so whatever deepest edge it finds is lost (although you update the depth, you don't keep track of the deepest edge).

            To fix this, you should either pass deepest_shared_edge as a reference parameter (like you do for longest), or you can initialize it to nullptr, then check the return from your recursive call for nullptr and update it appropriately.

            Source https://stackoverflow.com/questions/45775982

            QUESTION

            Why does translating this code snippet from C# to C++ degrade performance?
            Asked 2017-Aug-17 at 23:40

            I am much more familiar with C# than C++ so I must ask for advice on this issue. I had to rewrite some code pieces to C++ and then (surprisingly) ran into performance issues.

            I've narrowed the problem down to these snippets:

            C#

            ...

            ANSWER

            Answered 2017-Aug-17 at 23:40

            In C#, a System.String includes its Length, so you can get the length in constant time. In C++, a std::string also includes its size, so it is also available in constant time.

            However, you aren’t using C++ std::string (which you should be, for a good translation of the algorithm); you’re using a C-style null-terminated char array. That char* literally means “pointer to char”, and just tells you where the first character of the string is. The strlen function looks at each char from the one pointed to forward, until it finds a null character '\0' (not to be confused with a null pointer); this is expensive, and you do it in each iteration of your loop in insertSuffix. That probably accounts for at least a reasonable fraction of your slowdown.

            When doing C++, if you find yourself working with raw pointers (any type involving a *), you should always wonder if there’s a simpler way. Sometimes the answer is “no”, but often it’s “yes” (and that’s getting more common as the language evolves). For example, consider your struct node and node* root. Both use node pointers, but in both cases you should have used node directly because there is no need to have that indirection (in the case of node, some amount of indirection is necessary so you don’t have each node containing another node ad infinitum, but that’s provided by the std::unordered_map).

            A couple other tips:

            • In C++ you often don’t want to do any work in the body of a constructor, but instead use initialization lists.
            • When you don’t want to copy something you pass as a parameter, you should make the parameter a reference; instead of changing insertSuffix to take a std::string as the first parameter, make it take std::string const&; similarly, contains should take a std::string const&. Better yet, since insertSuffix can see the text member, it doesn’t need to take that first parameter at all and can just use from.
            • C++ supports a foreach-like construct, which you should probably prefer to a standard for loop when iterating over a string’s characters.
            • If you’re using the newest not-technically-finalized-but-close-enough version of C++, C++17, you should use std::string_view instead of std::string whenever you just want a look at a string, and don’t need to change it or keep a reference to it around. This would be useful for contains, and since you want to make a local copy in the text member, even for the constructor; it would not be useful in the text member itself, because the object being viewed might be temporary. Lifetime can sometimes be tricky in C++, though, and until you get the hang of it you might just want to use std::string to be on the safe side.
            • Since node isn’t useful outside of the concept of suffixTree, it should probably be inside it, like in the C# version. As a deviation from the C# version, you might want to make the type node and the data members root and text into private instead of public members.

            Source https://stackoverflow.com/questions/45746094

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

            Vulnerabilities

            No vulnerabilities reported

            Install SuffixTree

            You can download it from GitHub.
            You can use SuffixTree like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            CLONE
          • HTTPS

            https://github.com/kasravnd/SuffixTree.git

          • CLI

            gh repo clone kasravnd/SuffixTree

          • sshUrl

            git@github.com:kasravnd/SuffixTree.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link