Metadata-Version: 1.1
Name: DHParser
Version: 0.7.6
Summary: DHParser - Domain specific languages for the Digital Humanities
Home-page: https://gitlab.lrz.de/badw-it/DHParser
Author: Eckhart Arnold
Author-email: arnold@badw.de
License: MIT License (https://opensource.org/licenses/MIT)
Description: DHParser
        ========
        
        A parser-combinator-based parsing and compiling infrastructure for domain
        specific languages (DSL) in Digital Humanities projects.
        
        Author: Eckhart Arnold, Bavarian Academy of Sciences
        Email:  arnold@badw.de
        
        
        License
        -------
        
        DHParser is open source software under the [MIT License](https://opensource.org/licenses/MIT)
        
        Copyright 2016-2017  Eckhart Arnold, Bavarian Academy of Sciences and Humanities
        
        Permission is hereby granted, free of charge, to any person obtaining
        a copy of this software and associated documentation files (the 
        "Software"), to deal in the Software without restriction, including
        without limitation the rights to use, copy, modify, merge, publish,
        distribute, sublicense, and/or sell copies of the Software, and to
        permit persons to whom the Software is furnished to do so, subject
         to the following conditions:
        
        The above copyright notice and this permission notice shall be included
        in all copies or substantial portions of the Software.
        
        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
        OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF 
        MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
        IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
        CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
        TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
        SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
        
        
        **Exception**: The module ``DHParser/typing34.py`` was directly taken from the
        Python 3.5 source code in order for DHParser to be backwards compatible
        with Python 3.4. The module ``DHParser/typing34.py`` is licensed under the
        [Python Software Foundation License Version 2](https://docs.python.org/3.5/license.html)
        
        
        Sources
        -------
        
        Find the sources on [gitlab.lrz.de/badw-it/DHParser](https://gitlab.lrz.de/badw-it/DHParser) . 
        Get them with:
            
            git clone https://gitlab.lrz.de/badw-it/DHParser
        
        Please contact me, if you are intested in contributing to the
        development or just using DHParser.  
        
        
        Disclaimer
        ----------
        
        DHParser is still in an early development stage. While it is definitaly
        usable, features may be dropped or added without notice and class or
        function names changed in future versions. The API is NOT YET STABLE!
        
        Use it for testing an evaluation, but not in an production environment
        or contact me first, if you intend to do so.
        
        
        Purpose
        -------
        
        DHParser leverages the power of Domain specific languages for the 
        Digital Humanities.
        
        Domain specific languages are widespread in 
        computer sciences, but seem to be underused in the Digital Humanities.
        While DSLs are sometimes introduced to Digital-Humanities-projects as
        [practical adhoc-solution][Müller_2016], these solutions are often
        somewhat "quick and dirty". In other words they are more of a hack
        than a technology. The purpose of DHParser is to introduce
        [DSLs as a technology][Arnold_2016] to the Digital Humanities. It is
        based on the well known technology of [EBNF][ISO_IEC_14977]-based
        parser generators, but employs the more modern form called
        "[parsing expression grammar][Ford_2004]" and
        [parser combinators][Ford_20XX] as a variant of the classical
        recursive descent parser.
        
        Why another parser generator? There are plenty of good parser
        generators out there, e.g. [Añez's grako parser generator][Añez_2017], 
        [Eclipse XText][XText_Website]. However, DHParser is
        intended as a tool that is specifically geared towards digital
        humanities applications, while most existing parser generators come
        from compiler construction toolkits for programming languages. 
        While I expect DSLs in computer science and DSLs in the Digital 
        Humanities to be quite similar as far as the technological realization
        is concerned, the use cases, requirements and challenges are somewhat 
        different. For example, in the humanities annotating text is a central 
        use case, which is mostly absent in computer science treatments. 
        These differences might sooner or later require to develop the 
        DSL-construction toolkits in a different direction. Also,
        DHParser shall (in the future) serve as a teaching tool, which
        influences some of its design decisions such as, for example, clearly
        separating the parsing, syntax-tree-transformation and compilation
        stages. Finally, DHParser is intended as a tool to experiment with.  One
        possible research area is, how non
        [context-free grammars](https://en.wikipedia.org/wiki/Context-free_grammar)
        such as the grammars of [TeX][tex_stackexchange_no_bnf] or
        [CommonMark][MacFarlane_et_al_2017] can be described with declarative
        langauges in the spirit of but beyond EBNF, and what extensions of the
        parsing technology are necessary to capture such languages.
        
        Primary use case at the Bavarian Academy of Sciences and Humanities
        (for the time being): A DSL for the
        "[Mittellateinische Wörterbuch](http://www.mlw.badw.de/)"!
        
        Further (intended) use cases are:
        
        * LaTeX -> XML/HTML conversion. See this
          [discussion on why an EBNF-parser for the complete TeX/LaTeX-grammar][tex_stackexchange_no_bnf]
          is not possible.
        * [CommonMark][MacFarlane_et_al_2017] and other DSLs for cross media
          publishing of scientific literature, e.g. journal articles.  (Common
          Mark and Markdown also go beyond what is feasible with pure
          EBNF-based-parsers.)
        * EBNF itself. DHParser is already self-hosting ;-)
        * Digital and cross-media editions 
        * Digital dictionaries
        
        For a simple self-test run `dhparser.py` from the command line. This
        compiles the EBNF-Grammer in `examples/EBNF/EBNF.ebnf` and outputs the
        Python-based parser class representing that grammar. The concrete and
        abstract syntax tree as well as a full and abbreviated log of the
        parsing process will be stored in a sub-directory named "LOG".
        
        
        Introduction
        ------------
        
        see [Introduction.md](https://gitlab.lrz.de/badw-it/DHParser/blob/master/Introduction.md)
        
        
        References
        ----------
        
        Juancarlo Añez: grako, a PEG parser generator in Python, 2017. URL:
        [bitbucket.org/apalala/grako][Añez_2017]
        
        [Añez_2017]: https://bitbucket.org/apalala/grako
        
        
        Eckhart Arnold: Domänenspezifische Notationen. Eine (noch)
        unterschätzte Technologie in den Digitalen Geisteswissenschaften,
        Präsentation auf dem
        [dhmuc-Workshop: Digitale Editionen und Auszeichnungssprachen](https://dhmuc.hypotheses.org/workshop-digitale-editionen-und-auszeichnungssprachen),
        München 2016. Short-URL: [tiny.badw.de/2JVT][Arnold_2016]
        
        [Arnold_2016]: https://f.hypotheses.org/wp-content/blogs.dir/1856/files/2016/12/EA_Pr%C3%A4sentation_Auszeichnungssprachen.pdf
        
        
        Brian Ford: Parsing Expression Grammars: A Recognition-Based Syntactic
        Foundation, Cambridge
        Massachusetts, 2004. Short-URL:[http://t1p.de/jihs][Ford_2004]
        
        [Ford_2004]: https://pdos.csail.mit.edu/~baford/packrat/popl04/peg-popl04.pdf
          
        [Ford_20XX]: http://bford.info/packrat/ 
        
        
        Richard A. Frost, Rahmatullah Hafiz and Paul Callaghan: Parser
        Combinators for Ambiguous Left-Recursive Grammars, in: P. Hudak and
        D.S. Warren (Eds.): PADL 2008, LNCS 4902, pp. 167–181, Springer-Verlag
        Berlin Heidelberg 2008.
        
        
        Dominikus Herzberg: Objekt-orientierte Parser-Kombinatoren in Python,
        Blog-Post, September, 18th 2008 on denkspuren. gedanken, ideen,
        anregungen und links rund um informatik-themen, short-URL:
        [http://t1p.de/bm3k][Herzberg_2008a]
        
        [Herzberg_2008a]: http://denkspuren.blogspot.de/2008/09/objekt-orientierte-parser-kombinatoren.html
        
        
        Dominikus Herzberg: Eine einfache Grammatik für LaTeX, Blog-Post,
        September, 18th 2008 on denkspuren. gedanken, ideen, anregungen und
        links rund um informatik-themen, short-URL:
        [http://t1p.de/7jzh][Herzberg_2008b]
        
        [Herzberg_2008b]: http://denkspuren.blogspot.de/2008/09/eine-einfache-grammatik-fr-latex.html
        
        
        Dominikus Herzberg: Uniform Syntax, Blog-Post, February, 27th 2007 on
        denkspuren. gedanken, ideen, anregungen und links rund um
        informatik-themen, short-URL: [http://t1p.de/s0zk][Herzberg_2007]
        
        [Herzberg_2007]: http://denkspuren.blogspot.de/2007/02/uniform-syntax.html
        
        
        [ISO_IEC_14977]: http://www.cl.cam.ac.uk/~mgk25/iso-14977.pdf
        
        
        John MacFarlane, David Greenspan, Vicent Marti, Neil Williams,
        Benjamin Dumke-von der Ehe, Jeff Atwood: CommonMark. A strongly
        defined, highly compatible specification of
        Markdown, 2017. [commonmark.org][MacFarlane_et_al_2017]
        
        [MacFarlane_et_al_2017]: http://commonmark.org/
        
        
        Stefan Müller: DSLs in den digitalen Geisteswissenschaften,
        Präsentation auf dem
        [dhmuc-Workshop: Digitale Editionen und Auszeichnungssprachen](https://dhmuc.hypotheses.org/workshop-digitale-editionen-und-auszeichnungssprachen),
        München 2016. Short-URL: [tiny.badw.de/2JVy][Müller_2016]
        
        [Müller_2016]: https://f.hypotheses.org/wp-content/blogs.dir/1856/files/2016/12/Mueller_Anzeichnung_10_Vortrag_M%C3%BCnchen.pdf
        
        Markus Voelter, Sbastian Benz, Christian Dietrich, Birgit Engelmann, 
        Mats Helander, Lennart Kats, Eelco Visser, Guido Wachsmuth: 
        DSL Engineering. Designing, Implementing and Using Domain-Specific Languages, 2013.
        [http://dslbook.org/][Voelter_2013]  
        
        [voelter_2013]: http://dslbook.org/
        
        [tex_stackexchange_no_bnf]: http://tex.stackexchange.com/questions/4201/is-there-a-bnf-grammar-of-the-tex-language
         
        [tex_stackexchange_latex_parsers]: http://tex.stackexchange.com/questions/4223/what-parsers-for-latex-mathematics-exist-outside-of-the-tex-engines 
        
        [XText_website]: https://www.eclipse.org/Xtext/
        
Keywords: Digital Humanities,domain specific languages,parser combinators,EBNF
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Environment :: Console
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Topic :: Text Processing :: Markup
Classifier: Topic :: Software Development :: Code Generators
Classifier: Topic :: Software Development :: Compilers
