semvec/pypi-packages huggingface dataset:
perform 0.0.8
Easily call processes from python
License: MIT

Perform is a python module for calling processes in a simple and easy way.  Each program is added to the perform module as a function that returns the stdout printed by the program.

##usage:
- To call a program:
    import perform
    stdout = perform.ls()

- To pass arguments to a program:
    stdout = perform.git("ls-files", "-m")

- To call a program that contains symbols in its name:
    stdout = perform._("pip2.7", "install", "perform")

- To get extra information from a program:
    obj = perform.ls(return_object=True) # or perform.ls(ro=True)

    stdout = obj.stdout
    stderr = obj.stderr
    errcode = obj.errcode

- To call a command in the shell:
    print(perform._("ls | grep 'py'", shell=True))

- To import a specific command:
    from perform import ls

    print(ls("-a"))

- To use perform for a non-blocking call:
    perform.firefox("google.com", no_return=True)
    perform.firefox("github.com", no_return=True)
    perform.firefox("kernel.org", nr=True)

##more examples
    import perform

    stdout = perform.ls()

    print(perform.git("ls-files", "-m"))

    print(perform._("pip2.7", "install", "perform"))

    stdout = perform.raspistill("-o ~/image.jpg")

    print(perform.python("-c", "import perform;print(perform.echo('hello'))")
Flask-Jsonpify 1.5.0
A Flask extension adding a decorator for JSONP support
License: MIT

Flask-Jsonpify
==============

Flask-Jsonpify is an extension to Flask's core jsonify function,
returning JSON-Padded responses when a callback is specified as
request's arguments. It's usage and implementation is the same as
flask.jsonify, differing only when a request has a ``callback``
specified in the request arguments, in which case the response body is
JSON-Padded, or JSONP, using the callback.

To add JSONP support to all routes which previously used flask.jsonify,
simply import jsonify from flask.ext.jsonpify instead of importing it
from flask. The arguments and responses are fully compatible.
Alternatively, import jsonpify from flask.ext.jsonpify to support JSONP
in certain places.

Installation
------------

Install the extension with one of the following commands:

.. code:: bash

    $ easy_install flask-jsonpify

or alternatively if you have pip installed (which you should):

.. code:: bash

    $ pip install flask-jsonpify

Usage
-----

The best way to use Flask-Jsonpify is to completely replace Flask's
jsonify with this module's jsonify function, as shown below. The method
is fully compatible.

.. code:: Python

    from flask import Flask
    from flask.ext.jsonpify import jsonify

    app = Flask(__name__)

    @app.route("/")
    def index():
        return jsonify(user="lala")


    if __name__ == "__main__":
        app.run(debug=True)
selenium_page_adapter 0.2.0
PageAdapter pattern for Python Selenium browser test abstraction.
License: MIT

selenium_page_adapter
=====================

`Selenium page adapter`_ provides a Python PageAdapter pattern for
Selenium_ browser test abstraction.

.. image:: https://travis-ci.org/tysonclugg/selenium_page_adapter.svg?branch=master
    :target: https://travis-ci.org/tysonclugg/selenium_page_adapter
    :alt: Build Status
.. image:: https://pypip.in/v/selenium_page_adapter/badge.png
    :target: https://pypi.python.org/pypi/selenium_page_adapter/
    :alt: selenium_page_adapter on PyPi

Selenium_Page_Adapter_ works with both Python 2 and Python 3.  Continuous integration 
testing is performed against the latest python 2.7 and python 3.3 
releases.

.. _Selenium Page Adapter: https://selenium_page_adapter.readthedocs.org/en/latest/
.. _Selenium: http://selenium-python.readthedocs.org/