matteo-the-prestige/matteo_env/Lib/site-packages/jsonpickle-1.4.2.dist-info/METADATA
2020-12-24 04:51:38 -05:00

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Metadata-Version: 2.1
Name: jsonpickle
Version: 1.4.2
Summary: Python library for serializing any arbitrary object graph into JSON
Home-page: https://github.com/jsonpickle/jsonpickle
Author: David Aguilar
Author-email: davvid@gmail.com
License: UNKNOWN
Keywords: json pickle,json,pickle,marshal,serialization,JavaScript Object Notation
Platform: POSIX
Platform: Windows
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: JavaScript
Classifier: Operating System :: OS Independent
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=2.7
Requires-Dist: importlib-metadata ; python_version < "3.8"
Provides-Extra: docs
Requires-Dist: sphinx ; extra == 'docs'
Requires-Dist: jaraco.packaging (>=3.2) ; extra == 'docs'
Requires-Dist: rst.linker (>=1.9) ; extra == 'docs'
Provides-Extra: testing
Requires-Dist: coverage (<5) ; extra == 'testing'
Requires-Dist: pytest (!=3.7.3,>=3.5) ; extra == 'testing'
Requires-Dist: pytest-checkdocs (>=1.2.3) ; extra == 'testing'
Requires-Dist: pytest-flake8 ; extra == 'testing'
Requires-Dist: pytest-black-multipy ; extra == 'testing'
Requires-Dist: pytest-cov ; extra == 'testing'
Requires-Dist: ecdsa ; extra == 'testing'
Requires-Dist: feedparser ; extra == 'testing'
Requires-Dist: numpy ; extra == 'testing'
Requires-Dist: pandas ; extra == 'testing'
Requires-Dist: pymongo ; extra == 'testing'
Requires-Dist: sqlalchemy ; extra == 'testing'
Provides-Extra: testing.libs
Requires-Dist: demjson ; extra == 'testing.libs'
Requires-Dist: simplejson ; extra == 'testing.libs'
Requires-Dist: ujson ; extra == 'testing.libs'
Requires-Dist: yajl ; extra == 'testing.libs'
Requires-Dist: enum34 ; (python_version == "2.7") and extra == 'testing'
Requires-Dist: jsonlib ; (python_version == "2.7") and extra == 'testing'
.. image:: https://img.shields.io/pypi/v/jsonpickle.svg
:target: `PyPI link`_
.. image:: https://img.shields.io/pypi/pyversions/jsonpickle.svg
:target: `PyPI link`_
.. _PyPI link: https://pypi.org/project/jsonpickle
.. image:: https://dev.azure.com/jaraco/jsonpickle/_apis/build/status/jaraco.jsonpickle?branchName=master
:target: https://dev.azure.com/jaraco/jsonpickle/_build/latest?definitionId=1&branchName=master
.. image:: https://readthedocs.org/projects/jsonpickle/badge/?version=latest
:target: https://jsonpickle.readthedocs.io/en/latest/?badge=latest
.. image:: https://travis-ci.org/jsonpickle/jsonpickle.svg?branch=master
:target: https://travis-ci.org/jsonpickle/jsonpickle
:alt: travis
.. image:: https://img.shields.io/badge/License-BSD%203--Clause-blue.svg
:target: https://github.com/jsonpickle/jsonpickle/blob/master/COPYING
:alt: BSD
jsonpickle
==========
jsonpickle is a library for the two-way conversion of complex Python objects
and `JSON <http://json.org/>`_. jsonpickle builds upon the existing JSON
encoders, such as simplejson, json, and demjson.
For complete documentation, please visit the
`jsonpickle documentation <http://jsonpickle.readthedocs.io/>`_.
Bug reports and merge requests are encouraged at the
`jsonpickle repository on github <https://github.com/jsonpickle/jsonpickle>`_.
jsonpickle supports Python 2.7 and Python 3.4 or greater.
**WARNING**:
jsonpickle can execute arbitrary Python code. Do not load jsonpickles from untrusted / unauthenticated sources.
Why jsonpickle?
===============
Data serialized with python's pickle (or cPickle or dill) is not easily readable outside of python. Using the json format, jsonpickle allows simple data types to be stored in a human-readable format, and more complex data types such as numpy arrays and pandas dataframes, to be machine-readable on any platform that supports json. E.g., unlike pickled data, jsonpickled data stored in an Amazon S3 bucket is indexible by Amazon's Athena.
Install
=======
Install from pip for the latest stable release:
::
pip install jsonpickle
Install from github for the latest changes:
::
pip install git+https://github.com/jsonpickle/jsonpickle.git
If you have the files checked out for development:
::
git clone https://github.com/jsonpickle/jsonpickle.git
cd jsonpickle
python setup.py develop
Numpy Support
=============
jsonpickle includes a built-in numpy extension. If would like to encode
sklearn models, numpy arrays, and other numpy-based data then you must
enable the numpy extension by registering its handlers::
>>> import jsonpickle.ext.numpy as jsonpickle_numpy
>>> jsonpickle_numpy.register_handlers()
Pandas Support
==============
jsonpickle includes a built-in pandas extension. If would like to encode
pandas DataFrame or Series objects then you must enable the pandas extension
by registering its handlers::
>>> import jsonpickle.ext.pandas as jsonpickle_pandas
>>> jsonpickle_pandas.register_handlers()
jsonpickleJS
============
`jsonpickleJS <https://github.com/cuthbertLab/jsonpickleJS>`_
is a javascript implementation of jsonpickle by Michael Scott Cuthbert.
jsonpickleJS can be extremely useful for projects that have parallel data
structures between Python and Javascript.
License
=======
Licensed under the BSD License. See COPYING for details.
See jsonpickleJS/LICENSE for details about the jsonpickleJS license.
Development
===========
Use `make` to run the unit tests::
make test
`pytest` is used to run unit tests internally.
A `tox` target is provided to run tests using tox.
Setting ``multi=1`` tests using all installed and supported Python versions::
make tox
make tox multi=1
`jsonpickle` itself has no dependencies beyond the Python stdlib.
`tox` is required for testing when using the `tox` test runner only.
The testing requirements are specified in `requirements-dev.txt`.
It is recommended to create a virtualenv and run tests from within the
virtualenv, or use a tool such as `vx <https://github.com/davvid/vx/>`_
to activate the virtualenv without polluting the shell environment::
python3 -mvenv env3x
vx env3x pip install --requirement requirements-dev.txt
vx env3x make test
`jsonpickle` supports multiple Python versions, so using a combination of
multiple virtualenvs and `tox` is useful in order to catch compatibility
issues when developing.