semvec/pypi-packages huggingface dataset:
appengine-toolkit 0.1.0
None
License: BSD
Keywords: django-appengine-toolkit

=============================
Django Appengine Toolkit
=============================

.. image:: https://badge.fury.io/py/django-appengine-toolkit.png
    :target: http://badge.fury.io/py/django-appengine-toolkit
    
.. image:: https://travis-ci.org/masci/django-appengine-toolkit.png?branch=master
        :target: https://travis-ci.org/masci/django-appengine-toolkit

.. image:: https://pypip.in/d/django-appengine-toolkit/badge.png
        :target: https://crate.io/packages/django-appengine-toolkit?version=latest


Appengine Toolkit pimps Django with some utilities which help deploying
projects on Google App Engine with Google Cloud SQL as data backend.

Features
--------

* collects project dependencies symlinking needed modules and packages and configuring App Engine environment
* configures DATABASE setting parsing connection strings similar to those on Heroku

Documentation
-------------

The full documentation is at http://django-appengine-toolkit.rtfd.org.

Quickstart
----------

Install appengine-toolkit::

    pip install django-appengine-toolkit

Add it to the installed apps::

    INSTALLED_APPS = (
        # ...
        'appengine_toolkit',
    )

To automatically configure database settings reading connection string
from the DATABASE_URL enviroment var::

    import appengine_toolkit
    DATABASES = {
        'default': appengine_toolkit.config(),
    }

You can set DATABASE_URL directly in your ``app.yaml`` file::

    env_variables:
      DJANGO_SETTINGS_MODULE: 'myapp.settings'
      DATABASE_URL: 'mysql://root@project_id:instance_id/database_name'


To collect project dependencies, first configure Appengine Toolkit in your settings
file, specifying the full path to your app.yaml file::

    APPENGINE_TOOLKIT = {
        'APP_YAML': os.path.join(BASE_DIR, '../../', 'app.yaml'),
    }


...then run the command ``collectdeps`` specifying the requirement file containing
the list of packages needed by your project to run::

    python manage.py collectdeps -r my_requirements.txt

a folder named ``libs`` will be created on your application root (i.e. the same folder
where the YAML file resides) containing symlinks needed by App Engine to include
dependencies in the production runtime enviroment.

A file ``appengine_config.py`` will be created in the same folder and will contain
code needed to configure the environment. If you need to customize the module
``appengine_config`` tell the command to not overwrite it - the command will then
output the code you need to paste inside the module to complete the configuration
process




History
-------

0.1.0 (2013-11-30)
++++++++++++++++++

* First release on PyPI.
pystress 0.2.1
Simple CPU stresser in Python
License: BSD
Keywords: pystress

pystress - Simple CPU stresser in Python
========================================

pystress is a tool to stress your CPU in a simple manner.

.. image:: https://travis-ci.org/shichao-an/pystress.png?branch=master
   :target: https://travis-ci.org/shichao-an/pystress


Installation
------------
You can install with pip::

  $ pip install pystress

Or, you can download a source distribution and install with these commands::

  $ python setup.py install


Example usage
-------------
Stress CPU(s) with the same number of processes for 60 (default) seconds::

  $ pystress


Stress CPU(s) with 2 processes for 10 seconds::

  $ pystress 10 2