Metadata-Version: 2.1
Name: pythontrie
Version: 0.2
Summary: General Purpose Trie Data Structure in Python
Home-page: https://github.com/pranavgupta1234/pythontrie
Author: Pranav Gupta
Author-email: pranavgupta4321@gmail.com
License: Apache Software License
Description: pythontrie : Python Implementation of Trie Data Structure
        ==========================
        
        [![image](https://travis-ci.org/pranavgupta1234/pythontrie.svg?branch=master)](https://github.com/pranavgupta1234/ptrie/issues)
        [![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
        
        ![image](https://github.com/pranavgupta1234/ptrie/blob/master/img/trie.jpg)
        
        pythontrie includes sweet implementation of our favourite data structure trie in python.
        
        Usage:
        ------
        
        ``` {.sourceCode .python}
        >>> from pythontrie import trie
        >>> sample_trie = trie()
        >>> sample_strings = ['heyy', 'heyay', 'heyey', 'hyyy', 'yoyo', 'heeyy', 'hoeyy']
        >>> for sample_string in sample_strings:
        >>>     sample_trie.insert(sample_string)
        ```
        
        Then printing suggestions is as simple as:
        
        ```
        >>> print(sample_trie.suggestions(prefix='he')
        ['heyy', heyay', heyey', 'heeyy']
        
        ```
        
        
        Current Features
        ---------------
        
        - Adding arbitrary strings into trie
        - Searching for suggestion using prefix
        - Search whether any string is present in trie or not
        
        pythontrie right now supports all python versions
        
        Installation
        ------------
        
        To install pythontrie, simply use all time favorite pip and type :
        
        ``` {.sourceCode .bash}
        $ pip install pythontrie
        ✨🍰✨
        ```
        
        Documentation
        -------------
        Coming Soon.
        
        
        How to Contribute
        -----------------
        
        1.  Initial plan is to integrate all necessary functionality that trie can offer into this library so that it can act as 
            one place shot for everyone who is playing with trie.
        2.  Please propose and feel free to raise an issue and submit a PR for some sensible feature. Try to elaborate the
            the area where this feature would be applicable so that all of us can be enlightened :).
        3.  I am planning to integrate research work done on tries into this library as well so that it can provide advanced functionalities
            with tight algorithmic complexity bounds. Please feel free to share any paper.
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
