Metadata-Version: 1.1
Name: egproject
Version: 0.0.8
Summary: A Python package to print
Home-page: UNKNOWN
Author: ANOOP SINGH RANA
Author-email: apours986@gmail.com
License: MIT
Description: # 3GPP Bibtex entry generator
        
        [![Build Status](https://travis-ci.org/martisak/3gpp-citations.svg?branch=master)](https://travis-ci.org/martisak/3gpp-citations) ![](https://img.shields.io/github/issues-raw/martisak/3gpp-citations.svg?style=flat) ![](https://img.shields.io/github/license/martisak/3gpp-citations.svg?style=flat) [![Coverage Status](https://coveralls.io/repos/github/martisak/3gpp-citations/badge.svg?branch=master)](https://coveralls.io/github/martisak/3gpp-citations?branch=master) [![Gitter chat](https://badges.gitter.im/martisak/3gpp-citations.png)](https://gitter.im/3gpp-citations/community "Gitter chat") [![](https://img.shields.io/pypi/v/3gpp-citations.svg?style=flat)](https://pypi.org/project/3gpp-citations/) ![](https://img.shields.io/pypi/dd/3gpp-citations.svg?style=flat) ![](https://img.shields.io/pypi/pyversions/3gpp-citations.svg?style=flat) [![HitCount](http://hits.dwyl.io/martisak/3gpp-citations.svg)](http://hits.dwyl.io/martisak/3gpp-citations) ![](https://img.shields.io/codeclimate/maintainability/martisak/3gpp-citations.svg?style=flat)
        
        This project aims to generate [BiBTeX](http://www.bibtex.org/) files that
        can be used when citing [3GPP](3gpp.org) specifications. The input is a
        document list exported from the [3GPP Portal](https://portal.3gpp.org/).
        
        ## Installation
        
        `pip install 3gpp-citations`
        
        To also install test dependencies run
        
        `pip install 3gpp-citations[test]`
        
        ## Instructions
        
        1. Go to the [3GPP Portal](https://portal.3gpp.org/#55936-specifications)
        1. Generate the list of specifications you want.
        1. Download to Excel and save file
        1. Run `python 3gpp-citations.py -i exported.xlsx -o 3gpp.bib`
        1. Use in LaTeX.
        
        *Optionally* use the provided `3gpp.bib` directly.
        
        ## Things to note
        
        * The output `bibtex` class is set to `@techreport`.
        * If you add the option `--xelatex`, break-symbols `\-` will be used in url-fields.
        * The version and date are read from 3gpp.org, but it is slow so it takes a while to parse the list. If you find an easy solution to this, let me know.
        
        ## Example output
        
        ~~~
        
        ~~~
        
        ## Contribute
        
        See our [contribution guidelines](CONTRIBUTING.md) and our [Code of Conduct](CODE_OF_CONDUCT.md).
        
        ## Other
        
        A presentation about the CI-pipeline used in this project [can be found here](https://martisak.gitlab.io/wasp_sw_course_testing/).
        
        ## Acknowledgment
        
        This project has been updated as part of the [WASP](http://wasp-sweden.org)
        [Software and Cloud Technology](http://wasp-sweden.org/graduate-school/courses/software-and-cloud-technology-spring-2019/) course.
        
        This work was partially supported by the Wallenberg AI, Autonomous Systems and
        Software Program (WASP) funded by the Knut and Alice Wallenberg Foundation.
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 2.7
