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README.html
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<!DOCTYPE html>
<html lang="" xml:lang="" xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta charset="utf-8"/>
<meta content="pandoc" name="generator"/>
<meta content="width=device-width, initial-scale=1.0, user-scalable=yes" name="viewport"/>
<meta content="Detlef Groth" name="author"/>
<meta content="2023-09-07" name="dcterms.date"/>
<title>Pantcl README</title>
<style>
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</head>
<body>
<header id="title-block-header">
<h1 class="title">Pantcl README</h1>
<p class="author">Detlef Groth</p>
<p class="date">2023-09-07</p>
</header>
<h1 id="pantcl">Pantcl <img src="data:image/svg+xml; charset=utf-8;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxMzkiIGhlaWdodD0iMjAiPgogIDx0aXRsZT5NYWtlZmlsZSBDSSAtIHBhc3Npbmc8L3RpdGxlPgogIDxkZWZzPgogICAgPGxpbmVhckdyYWRpZW50IGlkPSJ3b3JrZmxvdy1maWxsIiB4MT0iNTAlIiB5MT0iMCUiIHgyPSI1MCUiIHkyPSIxMDAlIj4KICAgICAgPHN0b3Agc3RvcC1jb2xvcj0iIzQ0NEQ1NiIgb2Zmc2V0PSIwJSI+PC9zdG9wPgogICAgICA8c3RvcCBzdG9wLWNvbG9yPSIjMjQyOTJFIiBvZmZzZXQ9IjEwMCUiPjwvc3RvcD4KICAgIDwvbGluZWFyR3JhZGllbnQ+CiAgICA8bGluZWFyR3JhZGllbnQgaWQ9InN0YXRlLWZpbGwiIHgxPSI1MCUiIHkxPSIwJSIgeDI9IjUwJSIgeTI9IjEwMCUiPgogICAgICA8c3RvcCBzdG9wLWNvbG9yPSIjMzREMDU4IiBvZmZzZXQ9IjAlIj48L3N0b3A+CiAgICAgIDxzdG9wIHN0b3AtY29sb3I9IiMyOEE3NDUiIG9mZnNldD0iMTAwJSI+PC9zdG9wPgogICAgPC9saW5lYXJHcmFkaWVudD4KICA8L2RlZnM+CiAgPGcgZmlsbD0ibm9uZSIgZmlsbC1ydWxlPSJldmVub2RkIj4KICAgIDxnIGZvbnQtZmFtaWx5PSImIzM5O0RlamFWdSBTYW5zJiMzOTssVmVyZGFuYSxHZW5ldmEsc2Fucy1zZXJpZiIgZm9udC1zaXplPSIxMSI+CiAgICAgIDxwYXRoIGlkPSJ3b3JrZmxvdy1iZyIgZD0iTTAsMyBDMCwxLjM0MzEgMS4zNTUyLDAgMy4wMjcwMjcwMywwIEw4OSwwIEw4OSwyMCBMMy4wMjcwMjcwMywyMCBDMS4zNTUyLDIwIDAsMTguNjU2OSAwLDE3IEwwLDMgWiIgZmlsbD0idXJsKCN3b3JrZmxvdy1maWxsKSIgZmlsbC1ydWxlPSJub256ZXJvIj48L3BhdGg+CiAgICAgIDx0ZXh0IGZpbGw9IiMwMTAxMDEiIGZpbGwtb3BhY2l0eT0iLjMiPgogICAgICAgIDx0c3BhbiB4PSIyMi4xOTgxOTgyIiB5PSIxNSIgYXJpYS1oaWRkZW49InRydWUiPk1ha2VmaWxlIENJPC90c3Bhbj4KICAgICAgPC90ZXh0PgogICAgICA8dGV4dCBmaWxsPSIjRkZGRkZGIj4KICAgICAgICA8dHNwYW4geD0iMjIuMTk4MTk4MiIgeT0iMTQiPk1ha2VmaWxlIENJPC90c3Bhbj4KICAgICAgPC90ZXh0PgogICAgPC9nPgogICAgPGcgdHJhbnNmb3JtPSJ0cmFuc2xhdGUoODkpIiBmb250LWZhbWlseT0iJiMzOTtEZWphVnUgU2FucyYjMzk7LFZlcmRhbmEsR2VuZXZhLHNhbnMtc2VyaWYiIGZvbnQtc2l6ZT0iMTEiPgogICAgICA8cGF0aCBkPSJNMCAwaDQ2LjkzOUM0OC42MjkgMCA1MCAxLjM0MyA1MCAzdjE0YzAgMS42NTctMS4zNyAzLTMuMDYxIDNIMFYweiIgaWQ9InN0YXRlLWJnIiBmaWxsPSJ1cmwoI3N0YXRlLWZpbGwpIiBmaWxsLXJ1bGU9Im5vbnplcm8iPjwvcGF0aD4KICAgICAgPHRleHQgZmlsbD0iIzAxMDEwMSIgZmlsbC1vcGFjaXR5PSIuMyIgYXJpYS1oaWRkZW49InRydWUiPgogICAgICAgIDx0c3BhbiB4PSI0IiB5PSIxNSI+cGFzc2luZzwvdHNwYW4+CiAgICAgIDwvdGV4dD4KICAgICAgPHRleHQgZmlsbD0iI0ZGRkZGRiI+CiAgICAgICAgPHRzcGFuIHg9IjQiIHk9IjE0Ij5wYXNzaW5nPC90c3Bhbj4KICAgICAgPC90ZXh0PgogICAgPC9nPgogICAgPHBhdGggZmlsbD0iIzk1OURBNSIgZD0iTTExIDNjLTMuODY4IDAtNyAzLjEzMi03IDdhNi45OTYgNi45OTYgMCAwIDAgNC43ODYgNi42NDFjLjM1LjA2Mi40ODItLjE0OC40ODItLjMzMiAwLS4xNjYtLjAxLS43MTgtLjAxLTEuMzA0LTEuNzU4LjMyNC0yLjIxMy0uNDI5LTIuMzUzLS44MjItLjA3OS0uMjAyLS40Mi0uODIzLS43MTctLjk5LS4yNDUtLjEzLS41OTUtLjQ1NC0uMDEtLjQ2My41NTItLjAwOS45NDYuNTA4IDEuMDc3LjcxOC42MyAxLjA1OCAxLjYzNi43NiAyLjAzOS41NzcuMDYxLS40NTUuMjQ1LS43NjEuNDQ2LS45MzYtMS41NTctLjE3NS0zLjE4NS0uNzc5LTMuMTg1LTMuNDU2IDAtLjc2Mi4yNzEtMS4zOTIuNzE4LTEuODgyLS4wNy0uMTc1LS4zMTUtLjg5Mi4wNy0xLjg1NSAwIDAgLjU4Ni0uMTgzIDEuOTI1LjcxOGE2LjUgNi41IDAgMCAxIDEuNzUtLjIzNiA2LjUgNi41IDAgMCAxIDEuNzUuMjM2YzEuMzM4LS45MSAxLjkyNS0uNzE4IDEuOTI1LS43MTguMzg1Ljk2My4xNCAxLjY4LjA3IDEuODU1LjQ0Ni40OS43MTcgMS4xMTIuNzE3IDEuODgyIDAgMi42ODYtMS42MzYgMy4yOC0zLjE5NCAzLjQ1Ni4yNTQuMjE5LjQ3My42MzkuNDczIDEuMjk1IDAgLjkzNi0uMDA5IDEuNjg5LS4wMDkgMS45MjUgMCAuMTg0LjEzMS40MDIuNDgxLjMzMkE3LjAxMSA3LjAxMSAwIDAgMCAxOCAxMGMwLTMuODY3LTMuMTMzLTctNy03eiI+PC9wYXRoPgogIDwvZz4KPC9zdmc+Cgo="/><!--URL:https://github.com/mittelmark/pantcl/actions/workflows/main.yml/badge.svg--></h1>
<p>Standalone Tcl application for document conversion with support for Tcl based filters using the Pandoc document processor or Tcl only.</p>
<p>For a overview about the Pandoc Tcl filter you can see as well the presentation at the presentation at <a href="https://raw.githubusercontent.com/mittelmark/DGTcl/master/pandoc-tcl-filter/doc/Groth-S-and-T-2021.pdf">S & T 2021</a>.</p>
<p>The application <code>pantcl(.bin)</code> is a command line tool which can be used as a standalone tool for document conversion from Markdown to HTML. In the Markdown document as well code for programming languages like Tcl, Python, C++, Go or other tools like diagram creation tools, image creation tools or for instance music note processors can be embedded. For processing other input formats like ReStructuredText, Wiki Syntax, LaTeX it can be used as well as a filter for the pandoc document processor. This way it is as well possible to target other output format like docx, pdf and many others. The tools contains as well a graphical user interface for direct editing of code for graphical tools like GraphViz, PlantUml and many others.</p>
<p>So in summary pantcl allows you:</p>
<ul>
<li>document conversion from Markdown to HTNML with evaluation of internal code chunks without pandoc</li>
<li>document conversion from many input (Markdown, ReStructuredText, Wiki formats, …) to many output formats (HTML, DOCX, PDF, …) with evaluation of internal code chunks</li>
<li>writing code documentation inside source code using a <code>#'</code> prefix followed by Markdown code</li>
<li>write filters for other graphical or programming tools using the Tcl programming language</li>
<li>use a graphical interface to edit Markdown files with embedded code chunks</li>
<li>use a graphical interface to edit diagram code with real time preview</li>
</ul>
<h1 id="processing-schema">Processing schema</h1>
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<!-- AST1 -->
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<!-- pandoc&#45;&gt;AST1 -->
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<!-- AST2 -->
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<!-- pandoc2 -->
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<!-- pandoc2&#45;&gt;Html -->
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<!-- Pdf -->
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<!-- pandoc2&#45;&gt;Pdf -->
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<!-- Html&#45;&gt;Pdf -->
<!-- Tex&#45;&gt;pandoc -->
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<title>Tex&#45;&gt;pandoc</title>
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<!-- dot -->
<g id="node13" class="node">
<title>dot</title>
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<!-- Tex&#45;&gt;dot -->
<!-- tsvg -->
<g id="node19" class="node">
<title>tsvg</title>
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<title>filters</title>
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<!-- filters&#45;&gt;filter -->
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<title>filters&#45;&gt;filter</title>
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<!-- dot&#45;&gt;filters -->
<g id="edge18" class="edge">
<title>dot&#45;&gt;filters</title>
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</g>
<!-- eqn -->
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<title>eqn</title>
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</g>
<!-- eqn&#45;&gt;filters -->
<g id="edge19" class="edge">
<title>eqn&#45;&gt;filters</title>
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<!-- mtex -->
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<title>mtex</title>
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<!-- pic -->
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<title>pic</title>
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<title>pik</title>
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<h1 id="documentation">Documentation</h1>
<p>Here are links to the documentation:</p>
<ul>
<li><a href="https://htmlpreview.github.io/?https://raw.githubusercontent.com/mittelmark/pantcl/master/pantcl.html">pantcl.html</a> - main documentation</li>
<li><a href="https://htmlpreview.github.io/?https://raw.githubusercontent.com/mittelmark/pantcl/master/pantcl-tutorial.html">pantcl-tutorial.html</a> - more extensive tutorial</li>
</ul>
<p><a name="filterlist"></a> Filter documentation:</p>
<ul>
<li><a href="https://htmlpreview.github.io/?https://raw.githubusercontent.com/mittelmark/pantcl/master/lib/tclfilters/filter-abc.html">filter-abc</a> - visualize <a href="https://abcnotation.com/">ABC music notation</a></li>
<li><a href="https://htmlpreview.github.io/?https://raw.githubusercontent.com/mittelmark/pantcl/master/lib/tclfilters/filter-cmd.html">filter-cmd</a> - execute shell scripts for instance <a href="http://lilypond.org/">Lilypond music scripts</a>, <a href="https://www.graphviz.org">GraphViz</a> scripts, Python, Lua, R scripts, <a href="https://www.sqlite.org">sqlite3</a> scripts, or code for languages like C, C++, Go, Rust, V etc.</li>
<li><a href="https://htmlpreview.github.io/?https://raw.githubusercontent.com/mittelmark/pantcl/master/lib/tclfilters/filter-dot.html">filter-dot</a> - <a href="https://www.graphviz.org">GraphViz dot</a> filter</li>
<li><a href="https://htmlpreview.github.io/?https://raw.githubusercontent.com/mittelmark/pantcl/master/lib/tclfilters/filter-emf.html">filter-emf</a> - <a href="http://www.jasspa.com">Jasspa MicroEmacs macros</a> filter</li>
<li><a href="https://htmlpreview.github.io/?https://raw.githubusercontent.com/mittelmark/pantcl/master/lib/tclfilters/filter-eqn.html">filter-eqn</a> - visualize mathematical equations using eqn2graph, see here <a href="https://lists.gnu.org/archive/html/groff/2013-10/pdfTyBN2VWR1c.pdf">Guide for typesetting using eqn</a></li>
<li><a href="https://htmlpreview.github.io/?https://raw.githubusercontent.com/mittelmark/pantcl/master/lib/tclfilters/filter-julia.html">filter-julia</a> - statistical language Julia (slow for embedding, use R instead) <a href="https://julialang.org/">Julia Website</a></li>
<li><a href="https://htmlpreview.github.io/?https://raw.githubusercontent.com/mittelmark/pantcl/master/lib/tclfilters/filter-kroki.html">filter-kroki</a> - visualize diagram code using the <a href="https://kroki.io">kroki webservice</a></li>
<li><a href="https://htmlpreview.github.io/?https://raw.githubusercontent.com/mittelmark/pantcl/master/lib/tclfilters/filter-mmd.html">filter-mmd</a> - visualize diagram code using the <a href="https://github.com/mermaidjs/mermaid.cli">mermaid command line tool</a></li>
<li><a href="https://htmlpreview.github.io/?https://raw.githubusercontent.com/mittelmark/pantcl/master/lib/tclfilters/filter-mtex.html">filter-mtex</a> - visualize mathematical equations using LaTeX</li>
<li><a href="https://htmlpreview.github.io/?https://raw.githubusercontent.com/mittelmark/pantcl/master/lib/tclfilters/filter-pic.html">filter-pic</a> - visualize diagram and flowcharts using the <a href="https://en.wikipedia.org/wiki/PIC_(markup_language)">PIC language</a></li>
<li><a href="https://htmlpreview.github.io/?https://raw.githubusercontent.com/mittelmark/pantcl/master/lib/tclfilters/filter-pik.html">filter-pik</a> - visualize diagram code or flowcharts uing <a href="https://fossil-scm.org/home/doc/trunk/www/pikchr.md">pikchr</a> or <a href="https://fossil-scm.org/home/doc/trunk/www/index.wiki">fossil</a></li>
<li><a href="https://htmlpreview.github.io/?https://raw.githubusercontent.com/mittelmark/pantcl/master/lib/tclfilters/filter-pipe.html">filter-pipe</a> - embed R, Python or Octave code or plots into Markdown</li>
<li><a href="https://htmlpreview.github.io/?https://raw.githubusercontent.com/mittelmark/pantcl/master/lib/tclfilters/filter-puml.html">filter-puml</a> - embed <a href="http://www.plantuml.com">PlantUML</a> code</li>
<li><a href="https://htmlpreview.github.io/?https://raw.githubusercontent.com/mittelmark/pantcl/master/lib/tclfilters/filter-rplot.html">filter-rplot</a> - embed R plots</li>
<li><a href="https://htmlpreview.github.io/?https://raw.githubusercontent.com/mittelmark/pantcl/master/lib/tclfilters/filter-sqlite.html">filter-sqlite</a> - embed <a href="https://www.sqlite.org">Sqlite3 SQL database</a> statements</li>
<li><a href="https://htmlpreview.github.io/?https://raw.githubusercontent.com/mittelmark/pantcl/master/lib/tclfilters/filter-tcl.html">filter-tcl</a> - embed Tcl statements</li>
<li><a href="https://htmlpreview.github.io/?https://raw.githubusercontent.com/mittelmark/pantcl/master/lib/tclfilters/filter-tcrd.html">filter-tcrd</a> - embed Tcl music chords.</li>
<li><a href="https://htmlpreview.github.io/?https://raw.githubusercontent.com/mittelmark/pantcl/master/lib/tclfilters/filter-tdot.html">filter-tdot</a> - embed Tcl GraphViz diaragrams</li>
<li><a href="https://htmlpreview.github.io/?https://raw.githubusercontent.com/mittelmark/pantcl/master/lib/tclfilters/filter-tsvg.html">filter-tsvg</a> - embed Tcl created SVG code</li>
</ul>
<p>External filter(s):</p>
<ul>
<li><a href="https://htmlpreview.github.io/?https://raw.githubusercontent.com/mittelmark/pantcl/master/user/user-filter.html">user-filter</a> - documentation on how to create and use a filter not embedded directly within the pantcl executable</li>
<li><a href="https://htmlpreview.github.io/?https://raw.githubusercontent.com/mittelmark/pantcl/master/user/filter-geasy.html">filter-geasy</a> - example for an external user defined filter not embedded directly within the pantcl executable</li>
</ul>
<h1 id="installation">Installation</h1>
<p>Please note, that you must have a tclsh executable in your PATH to use this tool. On Ubuntu systems you can install Tcl using your package managers like this: <code>sudo apt install Tcl</code>. If you have a <code>tclsh</code> executable in your <code>PATH</code> you then download the latest build from the Github page here:</p>
<p><a href="https://github.com/mittelmark/pantcl/files/11603113/pantcl.bin.gz">https://github.com/mittelmark/pantcl/files/11603113/pantcl.bin.gz</a></p>
<p>Unpack the Gzip file and make the file pantcl.bin executable using chmod. You can as rename it for instance to just <code>pantcl</code>. Then move it to a folder within belonging to your <code>PATH</code> variable. For instance “~./bin” or “~/.local/bin”.</p>
<p>Before you continue check if you executable is working by writing in the terminal something like this:</p>
<pre><code>$ pantcl --version
0.9.12
$ pandoc --version
pandoc 2.14.2
...</code></pre>
<p>For Windows you should download the standalone executable which contains a Tcl library and all required libraries and files within. <a href="https://github.com/mittelmark/pantcl/releases/download/0.9.11/pantcl.exe">https://github.com/mittelmark/pantcl/releases/download/0.9.11/pantcl.exe</a>. Just dowload the file to your harddisk and place it somewhere in your PATH. The in a terminal window, Powershell, Cmd, etc. type <code>pantcl --version</code> if this works you should be able to use it a Pandoc filter.</p>
<p>Without an installed pandoc executable only conversion from Markdown to HTML can be performed.</p>
<p>The file <code>pantcl.bin</code> contains embedded all the filters mentioned above. You can try out the installation by creating a simple Markdown file with some embedded Tcl code like this:</p>
<pre><code> ---
title: Test Markdown witch embedded Tcl code.
author: Detlef Groth
date: 2023-01-11
tcl:
eval: 1
---
## Header
This is some text.
```{.tcl eval=true}
set x 1
set x
```
Here some inline Tcl expression x is now `tcl set x`.
This document was compiled at
`tcl clock format [clock seconds] -format "%Y-%m-%d %H:%M:%S"` CET.</code></pre>
<p>Save this code in a file <code>test.md</code> removing the leading whitespaces and try to convert the file using the command line:</p>
<pre><code>pantcl.bin test.md test.html -s</code></pre>
<p>The output <code>test.html</code> should then look like this:</p>
<p><img src="data:image/png;base64,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"/><!--URL:examples/test1.png--></p>
<p>If this works you can continue and try to use other code filters from the list shown <a href="#filterlist">above</a>.</p>
<p>Please note, that since version 0.9.2 the filter evaluation is per default set to false to avoid interpretation just by accident. You must enable filter evaluation either on individual code chunks by setting <code>eval=true</code> as the code chunk option as shown above or if you like to have it globally enabbled by writing it in the YAML header of a Markdown document like this:</p>
<pre><code>---
title: xyz
author: nn
date: 2023-03-11
tcl:
eval: 1
dot:
eval: 1
---</code></pre>
<p>Which would enable code evaluation for Tcl and graphics generation for every GraphViz dot code chunk.</p>
<h2 id="rst-files">Rst files</h2>
<p>If your input document does not support YAML headers you can provide a YAML configuration in an external file, an example can be seen in the file <a href="tests/sample.yaml">tests/sample.yaml</a>. You then provide the required argument for the pandoc document converter in the command line like this:</p>
<pre><code>pandoc sample.rst --filter pantcl -o sample-rst.html -s \
--metadata-file sample.yaml</code></pre>
<p>How to define chunk options in Rst files can be seen here in the file <a href="https://raw.githubusercontent.com/mittelmark/pantcl/main/tests/sample.rst">tests/sample.rst</a>.</p>
<p>Here an example for an inserted GraphViz dot code chunk in such an Rst file:</p>
<pre><code>.. code-block:: dot
:caption: GraphViz dot example
:eval: true
digraph g {
A -> B ;
}
</code></pre>
<p>To create a PDF file you could use a command line like this:</p>
<pre><code>pandoc sample.rst --filter pantcl.tcl -o sample-rst.pdf \
--metadata documentclass=scrartcl --metadata-file sample.yaml</code></pre>
<p>Here the resulting output file <a href="https://github.com/mittelmark/pantcl/files/10951380/sample-rst.pdf">sample-rst.pdf</a>.</p>
<h2 id="latex-files">LaTeX files</h2>
<p>There is as well support for LaTeX as input file format. You just must use the <code>Verbatim</code> (uppercase V) environment together with the chunk options in brackets. The filtertype will be declared giving the filter option. Here an example for a dot filter in your LaTeX code:</p>
<pre><code>\begin{Verbatim}[filter=dot,eval=true]
digraph g {
rankdir="LR";
node[style=filled,fillcolor=skyblue,shape=box];
A -> B
}
\end{Verbatim}</code></pre>
<p>If you like to hide the source code just specify <code>echo=false</code> as an additional code chunk option. Here an example input file <a href="https://raw.githubusercontent.com/mittelmark/pantcl/main/tests/sample.tex">tests/sample.tex</a> and here the output <a href="https://github.com/mittelmark/pantcl/files/10953559/sample-tex.pdf">sample-tex.pdf</a>.</p>
<p>The pdf document can be created with the following command line:</p>
<pre><code>pandoc sample.tex --filter pantcl -o sample-tex.pdf \
--metadata documentclass=scrartcl</code></pre>
<h2 id="gui-application">GUI application</h2>
<p>You can as well run a graphical user interace to edit separate diagram code files or to edit several code chunks in a Markdown document. Just call pantcl with a option <code>--gui</code> like this:</p>
<pre><code>pantcl --gui test.md</code></pre>
<p>Here you see a running session where you can go with your cursor into the different code chunks and if you press Ctrl-s for file saving the current code chunk is evaluated and the output is visible in the image window on top:</p>
<p><img src="data:image/png;base64,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"/><!--URL:https://user-images.githubusercontent.com/75636/224667970-d99b787d-4174-48eb-be79-1076c33f4bc1.png--></p>
<h2 id="license">LICENSE</h2>
<p>BSD 2-Clause License</p>
<p>Copyright (c) 2023, Detlef Groth</p>
<p>Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:</p>
<ol type="1">
<li><p>Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.</p></li>
<li><p>Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.</p></li>
</ol>
<p>THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS “AS IS” AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.</p>
</body>
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