Skip to main content
This is a pre-production deployment of Warehouse. Changes made here affect the production instance of PyPI (pypi.python.org).
Help us improve Python packaging - Donate today!

Python dict with stacked context data

Project Description

Python dict with stacked context data

Installing

You can install py-context using pip:

$ pip install py-context

Example

>>> context = Context({"user": "Fred", "city": "Bedrock"})
>>> context['user']
'Fred'
>>> context['city']
'Bedrock'
>>> context.push({"user": "Barney"})
>>> context['user']
'Barney'
>>> context['city']
'Bedrock'
>>> context.pop()
{'user': 'Barney'}
>>> context['user']
'Fred'

Testing

To run the tests you need to install testing requirements first:

$ make install

Then to run tests, you can use nosetests or simply use Makefile command:

$ nosetests -sv
# or
$ make test

History

0.2.1 (2017-07-28)

  • Excluding tests from being installed

0.2.0 (2017-05-11)

  • Add attribute support
  • Add make watch target

0.1.0 (2017-03-22)

  • First release on PyPI.

Credits

Originally Context was taken from Genshi project. See LICENSE for copyright notices.

Development Lead

Contributors

Copyright (C) 2006-2010 Edgewall Software

Copyright (C) 2017 Dealertrack Technologies, Inc.

All rights reserved.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions
are met:

1. Redistributions of source code must retain the above copyright
   notice, this list of conditions and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright
   notice, this list of conditions and the following disclaimer in
   the documentation and/or other materials provided with the
   distribution.
3. The name of the author may not be used to endorse or promote
   products derived from this software without specific prior
   written permission.

THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS
OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE
GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER
IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR
OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN
IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
Release History

Release History

This version
History Node

0.2.1

History Node

0.2

History Node

0.1.0

Download Files

Download Files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
py_context-0.2.1-py2.py3-none-any.whl (8.4 kB) Copy SHA256 Checksum SHA256 3.6 Wheel Jul 28, 2017
py-context-0.2.1.tar.gz (8.3 kB) Copy SHA256 Checksum SHA256 Source Jul 28, 2017

Supported By

WebFaction WebFaction Technical Writing Elastic Elastic Search Pingdom Pingdom Monitoring Dyn Dyn DNS Sentry Sentry Error Logging CloudAMQP CloudAMQP RabbitMQ Heroku Heroku PaaS Kabu Creative Kabu Creative UX & Design Fastly Fastly CDN DigiCert DigiCert EV Certificate Rackspace Rackspace Cloud Servers DreamHost DreamHost Log Hosting