pytrie | pure Python 3 implementation of the trie data | Natural Language Processing library

 by   gsakkis Python Version: 0.4.0 License: Non-SPDX

kandi X-RAY | pytrie Summary

kandi X-RAY | pytrie Summary

pytrie is a Python library typically used in Artificial Intelligence, Natural Language Processing applications. pytrie has no bugs, it has no vulnerabilities, it has build file available and it has low support. However pytrie has a Non-SPDX License. You can install using 'pip install pytrie' or download it from GitHub, PyPI.

pytrie is a a pure Python 3 implementation of the trie data structure. A trie is an ordered tree data structure that is used to store a mapping where the keys are sequences, usually strings over an alphabet. In addition to implementing the mapping interface, tries allow finding the items for a given prefix, and vice versa, finding the items whose keys are prefixes of a given key. Documentation is available at Read the Docs.

            kandi-support Support

              pytrie has a low active ecosystem.
              It has 18 star(s) with 6 fork(s). There are 2 watchers for this library.
              It had no major release in the last 12 months.
              There are 1 open issues and 3 have been closed. On average issues are closed in 24 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of pytrie is 0.4.0

            kandi-Quality Quality

              pytrie has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              pytrie has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              pytrie releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              pytrie saves you 1105 person hours of effort in developing the same functionality from scratch.
              It has 2499 lines of code, 66 functions and 22 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed pytrie and discovered the below as its top functions. This is intended to give you an instant insight into pytrie implemented functionality, and help decide if they suit your requirements.
            • Return an iterator over keys .
            • Return the longest prefix item in the tree .
            • Return the value of the longest prefix in the tree .
            • Return an iterator over the values in this node .
            • Iterate over all prefixes .
            • Make a deep copy of the node .
            • Return the number of nodes .
            • Set the value of the node .
            • Return the state and its children .
            Get all kandi verified functions for this library.

            pytrie Key Features

            No Key Features are available at this moment for pytrie.

            pytrie Examples and Code Snippets

            No Code Snippets are available at this moment for pytrie.

            Community Discussions


            python import takes very long when run in debugger
            Asked 2019-Oct-18 at 17:33

            I'm using . I run the following code with a python3.7 interpreter.



            Answered 2019-Oct-18 at 17:33

            It's slow due to how Python debuggers work and how imports work. Importing in Python is literally executing the code in the module. Executing code under a debugger is inherently slower as every step of the execution has to pass through the debugger to see if e.g. a breakpoint is hit.

            The only way for this to go faster is for the debuggers to be faster (the Python extension for VS Code is looking at pulling in some debugger speed improvements, but there's no timeline on when those will land and initially they will only be for Python 3.7).



            Cython convert string to unicode
            Asked 2017-Dec-30 at 19:09

            I am trying to use this lib to manipulate Chinese text .

            But I encounter a problem - it has problem to encode decode Chinese unicode:



            Answered 2017-Dec-30 at 19:09

            It looks like the issue is that this datrie package supports at most 255 values for characters in the keyset:

            I recommend using marisa_trie::RecordTrie from here:

            Unfortunately it's a static data structure, so you cannot modify it after building, but it fully support unicode, serialization to disk, and all sorts of value types.



            Fast way to check if a list of IP is in a list of IP-ranges (CIDR notation)
            Asked 2017-Nov-14 at 00:20

            I am looking for a fast way to check if IP addresses are part of a list of CIDR notated IP ranges. I've seen examples before use netaddr like:



            Answered 2017-Nov-14 at 00:20

            Patricia/Radix tree/tries seem to be the answer. I found them by searching for algorithms for looking up routing tables.

            There is a python implementation here.

            A little later: I now have this working fine in Ruby:


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


            No vulnerabilities reported

            Install pytrie

            You can install using 'pip install pytrie' or download it from GitHub, PyPI.
            You can use pytrie 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.


            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
          • PyPI

            pip install PyTrie

          • CLONE
          • HTTPS


          • CLI

            gh repo clone gsakkis/pytrie

          • sshUrl


          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link

            Consider Popular Natural Language Processing Libraries


            by huggingface


            by fighting41love


            by google-research


            by fxsjy


            by geekcomputers

            Try Top Libraries by gsakkis


            by gsakkisPython


            by gsakkisPython


            by gsakkisPython


            by gsakkisPython