semvec/pypi-packages huggingface dataset:
fingo-django-graphiql-debug-toolbar 0.1.5
Django Debug Toolbar for GraphiQL IDE
License: MIT

Disclaimer
=============================
This package was made up from a urgent update of the original package **Django GraphiQL Debug Toolbar**
from "pip install django-graphiql-debug-toolbar".
As original package had an unresolved bug regarding graphQl request been executing twice, this package propose
is to provide a temporal pip package with the update fix as I depend on a pip working package to handle versions
on one of my proyect.
As soon as the original package **Django GraphiQL Debug Toolbar** solve that bug, this package will be deleted.


Django GraphiQL Debug Toolbar
=============================

|Pypi| |Build Status| |Codecov|


Django `Debug Toolbar`_ for `GraphiQL`_ IDE

.. _GraphiQL: https://github.com/graphql/graphiql
.. _Debug Toolbar: https://github.com/jazzband/django-debug-toolbar


.. image:: https://user-images.githubusercontent.com/5514990/36340937-1937ee68-1419-11e8-8477-40622e98c312.gif

Dependencies
------------

* Python ≥ 3.4
* Django ≥ 1.11


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

Install last stable version from Pypi.

.. code:: sh

    pip install fingo-django-graphiql-debug-toolbar


See the `documentation`_ for further guidance on setting *Django Debug Toolbar*.

.. _documentation: https://django-debug-toolbar.readthedocs.io/en/stable/installation.html

Add ``graphiql_debug_toolbar`` to your *INSTALLED_APPS* settings:

.. code:: python

    INSTALLED_APPS = [
        ...
        'debug_toolbar',
        'graphiql_debug_toolbar',
    ]


**Replace** the Django Debug Toolbar **middleware** with the GraphiQL Debug Toolbar one. 

.. code:: python

    MIDDLEWARE = [
        ...
        # 'debug_toolbar.middleware.DebugToolbarMiddleware',
        'graphiql_debug_toolbar.middleware.DebugToolbarMiddleware',
        ...
    ]

The *Debug Toolbar* is shown only if your IP is listed in the ``INTERNAL_IPS`` setting (you can change this logic with the ``SHOW_TOOLBAR_CALLBACK`` option).

.. code:: python

    INTERNAL_IPS = ['127.0.0.1', '...']

Dockerize ``INTERNAL_IPS``

.. code:: python

    import socket

    hostname, _, ips = socket.gethostbyname_ex(socket.gethostname())
    INTERNAL_IPS += [ip[:-1] + '1' for ip in ips]


Limitations
-----------

Panels rendering is not supported in multiprocess environment.

----

Credits to `@jazzband`_ / `django-debug-toolbar`_.

.. _@jazzband: https://jazzband.co
.. _django-debug-toolbar: https://github.com/jazzband/django-debug-toolbar


.. |Pypi| image:: https://img.shields.io/pypi/v/django-graphiql-debug-toolbar.svg
   :target: https://pypi.python.org/pypi/django-graphiql-debug-toolbar

.. |Build Status| image:: https://travis-ci.org/flavors/django-graphiql-debug-toolbar.svg?branch=master
   :target: https://travis-ci.org/flavors/django-graphiql-debug-toolbar

.. |Codecov| image:: https://img.shields.io/codecov/c/github/flavors/django-graphiql-debug-toolbar.svg
   :target: https://codecov.io/gh/flavors/django-graphiql-debug-toolbar
cvxmg 2.0.0
Planning of Microgrids considering Demand Side Management Strategies using Disciplined Convex Deterministic and StochasticProgramming
License: MIT
Keywords: convex,microgrids,optimization,stochastic,demand-side management

# CVXMG

[![Build Status](https://travis-ci.org/joemccann/dillinger.svg?branch=master)](https://www.facebook.com/oviedojuancarlos)

CVXMG is a python based package that allows the users to compute the sizing of Isolated/Islanded MicroGrids (IMGs). Additionally to the sizing of the IMGs, CVXMG returns the optimal dispatch of the energy sources and the optimal tariffs for the energy. CVXMG allows implementing Demand Side Management (DSM) in the sizing of the IMGs. The package uses a plug and play approach, allowing its users to choose energy sources, DSM strategies, and types of solvers (deterministic, stochastic, multiyear, and stochastic multiyear). Here a brief description of the capabilities of the package:   

  - Obtain the sizing of the energy sources.
  - Perform optimal dispatch of the energy sources.
  - Compute the tariffs for the energy. 
  - Build different business models for the microgrid.
  - And more.

CVXMG has its own documentation that can be found at: link. 

# First release!

Just launch the first release! More to come!

### Requirements

CVXMG uses a number of open source projects to work properly:

* [Numpy](https://numpy.org/) 
* [Pandas](https://pandas.pydata.org/)
* [Scipy](https://www.scipy.org/)
* [CVXPY](https://www.cvxpy.org/)
* [Matplotlib](https://matplotlib.org/)

And of course cvxpymg itself is open source with a [public repository](https://github.com/juancaoviedo/cvxmg/tree/master)
 on GitHub.

### Installation

You can use "pip install cvxpymg" from your command window. Or clone the GitHub repository.


### Development

Want to contribute? Great!



### Todos

 - Write more examples.
 - Create Electrolizer-Tank-Fuel cell system source.
 - Create biomass generator source.
 - And more!

License
----

MIT


**Free Software, Hell Yeah!**