string-matching | python code when given a term and a list of terms

by gopalkoduri Python Version: Current License: No License

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kandi X-RAY | string-matching Summary

string-matching is a Python library. string-matching has no bugs, it has no vulnerabilities and it has low support. However string-matching build file is not available. You can download it from GitHub.

This python code, when given a term and a list of terms, gives the possible duplicates of the given term in the given list of terms. The basic idea is to make use of edit distance and longest common subsequences, not just with immediate matches but also with the matches of the matches!

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Support

string-matching has a low active ecosystem.

It has 1 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

string-matching has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of string-matching is current.

Quality

string-matching has no bugs reported.

Security

string-matching has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

string-matching does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

string-matching has no build file. You will be need to create the build yourself to build the component from source.

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string-matching Key Features

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string-matching Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install string-matching

You can download it from GitHub.
You can use string-matching 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.