Index of /archives/text/CTAN/macros/latex/contrib/cs-techrep

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[PARENTDIR] Parent Directory - [DIR] template/ 2024-09-15 06:40 - [TXT] docstrip.cfg 2024-09-15 06:40 364 [   ] cs-techrep.pdf 2024-09-15 06:40 186K [TXT] cs-techrep.ins 2024-09-15 06:40 846 [TXT] cs-techrep.dtx 2024-09-15 06:40 27K [TXT] README 2024-09-15 06:40 1.8K [TXT] COPYING 2024-09-15 06:40 500
              -----------------------------
              Version 0.4 of the cs-techrep class
                  Christoph P. Neumann
              -----------------------------

This LaTeX class provides a simple environment for
technical reports in computer science and software engineering.

As this class is created mainly for ourselves it does not
contain evil low-level TeX magic but instead uses many other
fancy LaTeX packages that we hope you have already installed.

This work may be distributed and/or modified under the
conditions of the LaTeX Project Public License, either version 1.3c
of this license or (at your option) any later version.
The latest version of this license is in
  http://www.latex-project.org/lppl.txt
and version 1.3c or later is part of all distributions of LaTeX
version 2008/05/04 or later.


Installation
------------

After unzipping the package call:

  $ latex cs-techrep.ins

This will be extract some files (cs-techrep.cls, cs-techrepNLS.sty...). Create a
directory beneath your TeX installation preferably create 

  tex/latex/cs-techrep

and copy all files of the package and the extracted files to that directory.

Call:

  mktexlsr


Templates
---------

In the template directory you can find an example document.


Source Code
-----------

The source code of this latex package can be found at:
https://github.com/cyberlytics/cs-techrep

The build that creates the CTAN-conforming upload ZIP archive
can be achieved with the Docker image at Dockerhub:
cyberlytics/ctan-prep:latest

An examplery 'make dist' call is:
docker run --rm -it -v ${PWD}/:/app cyberlytics/ctan-prep:latest make dist

The source code of this supportive Docker image can be found at:
https://github.com/cyberlytics/ctan-prep


/Christoph P. Neumann, <cyberpetaneuron+cstechrep@gmail.com>