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.venv/Lib/site-packages/asttokens-2.0.5.dist-info/METADATA
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Metadata-Version: 2.1
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Name: asttokens
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Version: 2.0.5
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Summary: Annotate AST trees with source code positions
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Home-page: https://github.com/gristlabs/asttokens
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Author: Dmitry Sagalovskiy, Grist Labs
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Author-email: dmitry@getgrist.com
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License: Apache 2.0
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Keywords: code,ast,parse,tokenize,refactor
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Platform: UNKNOWN
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Classifier: Development Status :: 5 - Production/Stable
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Classifier: Intended Audience :: Developers
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Classifier: Topic :: Software Development :: Libraries :: Python Modules
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Classifier: Topic :: Software Development :: Code Generators
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Classifier: Topic :: Software Development :: Compilers
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Classifier: Topic :: Software Development :: Interpreters
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Classifier: Topic :: Software Development :: Pre-processors
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Classifier: Environment :: Console
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Classifier: Operating System :: OS Independent
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Classifier: Programming Language :: Python :: 2
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Classifier: Programming Language :: Python :: 2.7
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Classifier: Programming Language :: Python :: 3
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Classifier: Programming Language :: Python :: 3.5
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Classifier: Programming Language :: Python :: 3.6
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Classifier: Programming Language :: Python :: 3.7
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Classifier: Programming Language :: Python :: 3.8
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Classifier: Programming Language :: Python :: 3.9
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Classifier: Programming Language :: Python :: Implementation :: CPython
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Classifier: Programming Language :: Python :: Implementation :: PyPy
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Requires-Dist: six
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Provides-Extra: test
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Requires-Dist: astroid ; extra == 'test'
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Requires-Dist: pytest ; extra == 'test'
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ASTTokens
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=========
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.. image:: https://img.shields.io/pypi/v/asttokens.svg
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:target: https://pypi.python.org/pypi/asttokens/
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.. image:: https://img.shields.io/pypi/pyversions/asttokens.svg
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:target: https://pypi.python.org/pypi/asttokens/
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.. image:: https://travis-ci.org/gristlabs/asttokens.svg?branch=master
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:target: https://travis-ci.org/gristlabs/asttokens
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.. image:: https://readthedocs.org/projects/asttokens/badge/?version=latest
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:target: http://asttokens.readthedocs.io/en/latest/index.html
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.. image:: https://coveralls.io/repos/github/gristlabs/asttokens/badge.svg
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:target: https://coveralls.io/github/gristlabs/asttokens
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.. Start of user-guide
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The ``asttokens`` module annotates Python abstract syntax trees (ASTs) with the positions of tokens
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and text in the source code that generated them.
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It makes it possible for tools that work with logical AST nodes to find the particular text that
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resulted in those nodes, for example for automated refactoring or highlighting.
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Installation
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------------
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asttokens is available on PyPI: https://pypi.python.org/pypi/asttokens/::
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pip install asttokens
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The code is on GitHub: https://github.com/gristlabs/asttokens.
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The API Reference is here: http://asttokens.readthedocs.io/en/latest/api-index.html.
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Usage
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-----
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ASTTokens works with both Python2 and Python3.
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ASTTokens can annotate both trees built by `ast <https://docs.python.org/2/library/ast.html>`_,
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AND those built by `astroid <https://github.com/PyCQA/astroid>`_.
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Here's an example:
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.. code-block:: python
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import asttokens, ast
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source = "Robot('blue').walk(steps=10*n)"
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atok = asttokens.ASTTokens(source, parse=True)
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Once the tree has been marked, nodes get ``.first_token``, ``.last_token`` attributes, and
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the ``ASTTokens`` object offers helpful methods:
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.. code-block:: python
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attr_node = next(n for n in ast.walk(atok.tree) if isinstance(n, ast.Attribute))
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print(atok.get_text(attr_node))
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start, end = attr_node.last_token.startpos, attr_node.last_token.endpos
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print(atok.text[:start] + 'RUN' + atok.text[end:])
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Which produces this output:
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.. code-block:: text
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Robot('blue').walk
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Robot('blue').RUN(steps=10*n)
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The ``ASTTokens`` object also offers methods to walk and search the list of tokens that make up
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the code (or a particular AST node), which is more useful and powerful than dealing with the text
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directly.
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Contribute
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----------
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To contribute:
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1. Fork this repository, and clone your fork.
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2. Install the package with test dependencies (ideally in a virtualenv) with::
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pip install -e '.[test]'
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3. Run tests in your current interpreter with the command ``pytest`` or ``python -m pytest``.
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4. Run tests across all supported interpreters with the ``tox`` command. You will need to have the interpreters installed separately. We recommend ``pyenv`` for that. Use ``tox -p auto`` to run the tests in parallel.
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5. By default certain tests which take a very long time to run are skipped, but they are run on travis CI. To run them locally, set the environment variable ``ASTTOKENS_SLOW_TESTS``. For example run ``ASTTOKENS_SLOW_TESTS=1 tox`` to run the full suite of tests.
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