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|buildstatus| |Supported Python Versions|
|packagestatus|
This package uses Jay Earley's algorithm for parsing context-free grammars, and comes with some generic Abstract Syntax Tree routines. There is also a prototype scanner that does its job by combining Python regular expressions.
(SPARK stands for Scanning, Parsing, and Rewriting Kit. It is a poor name since it conflicts with a more popular package of the same name. In the future we will rename this.)
The original version of this was written by John Aycock for his Ph.d thesis and was described in his 1998 paper: "Compiling Little Languages in Python" at the 7th International Python Conference. The current incarnation of this code is maintained (or not) by Rocky Bernstein.
Note: Earley algorithm parsers are almost linear when given an LR grammar. These are grammars that are left-recursive.
This package is available from PyPI::
easy_install spark-parser
However if you want to install from the github source::
$ setup.py install # creates wheel and install
To run from the source tree::
$ setup.py develop
Many of the added features are directly related to using it in the Python decompiler uncompyle6_.
One unique feature of this code is the ability to have it profile which grammar rules have been used over a series of parses. This can inform which grammar rules are not needed.
Another unusual feature is to be able to remove grammar rules after a rule has been added. This is used in uncompyle6_ where grammar rules inherited from one version of Python to another.
The non-standard grammar generator system feature is the ability to perform a callback check just before a reduction rule occurs. This allows for checking a token stream or partial parse tree by means other than through the grammar language.
NEW-FEATURES <https://github.com/rocky/python-spark/blob/master/NEW-FEATURES.rst>
_
describes these features and others in more detail.
The github example directory <https://github.com/rocky/python-spark/tree/master/example>
_ has worked-out examples; The PyPI package uncompyle6_ uses this and contains a much larger example.
We support running this from older versions of Python in various git branches:
python-2.4-to-2.7
has code for Python 2.4 to 2.7python-3.0-to-3.2
has code for Python 3.0 to 3.2python-3.3-to-3.5
has code for Python 3.3 to 3.5python-3.6-to-3.10
has code for Python 3.6 to 3.10master
has code for Python 3.11 to the current version of Python.. |CircleCI| image:: https://circleci.com/gh/rocky/python-spark.svg?style=svg .. _features: https://github.com/rocky/python-spark/blob/master/NEW-FEATURES.rstxo .. _directory: https://github.com/rocky/python-spark/tree/master/example .. _uncompyle6: https://pypi.python.org/pypi/uncompyle6/ .. |downloads| image:: https://img.shields.io/pypi/dd/spark.svg .. |buildstatus| image:: https://travis-ci.org/rocky/python-spark.svg :target: https://travis-ci.org/rocky/python-spark .. |Supported Python Versions| image:: https://img.shields.io/pypi/pyversions/spark_parser.svg .. |packagestatus| image:: https://repology.org/badge/vertical-allrepos/python:spark.svg :target: https://repology.org/project/python:spark/versions
FAQs
An Earley-Algorithm Context-free grammar Parser Toolkit
We found that spark-parser demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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