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Name: astroid
Version: 1.4.4
Summary: A abstract syntax tree for Python with inference support.
Home-page: http://bitbucket.org/logilab/astroid
Author: Logilab
Author-email: pylint-dev@lists.logilab.org
License: LGPL
Description: .. image:: https://drone.io/bitbucket.org/logilab/astroid/status.png
:alt: drone.io Build Status
:target: https://drone.io/bitbucket.org/logilab/astroid
Astroid
=======
What's this?
------------
The aim of this module is to provide a common base representation of
python source code for projects such as pychecker, pyreverse,
pylint... Well, actually the development of this library is essentially
governed by pylint's needs. It used to be called logilab-astng.
It provides a compatible representation which comes from the `_ast`
module. It rebuilds the tree generated by the builtin _ast module by
recursively walking down the AST and building an extended ast. The new
node classes have additional methods and attributes for different
usages. They include some support for static inference and local name
scopes. Furthermore, astroid builds partial trees by inspecting living
objects.
Main modules are:
* `bases`, `node_classses` and `scoped_nodes` contain the classes for the
different type of nodes of the tree.
* the `manager` contains a high level object to get astroid trees from
source files and living objects. It maintains a cache of previously
constructed tree for quick access.
Installation
------------
Extract the tarball, jump into the created directory and run::
python setup.py install
For installation options, see::
python setup.py install --help
If you have any questions, please mail the code-quality@python.org
mailing list for support. See
http://mail.python.org/mailman/listinfo/code-quality for subscription
information and archives. You may find older archives at
http://lists.logilab.org/mailman/listinfo/python-projects .
Python Versions
---------------
astroid is compatible with Python 2.7 as well as 3.3 and later. astroid uses
the same code base for both Python versions, using six.
Test
----
Tests are in the 'test' subdirectory. To launch the whole tests suite
at once, you can use unittest discover::
python -m unittest discover -p "unittest*.py"
Platform: UNKNOWN
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Software Development :: Quality Assurance
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 3
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