semvec/pypi-packages huggingface dataset:
crypto-allauth 0.0.5
Plugin for django-allauth that allows authentication using cryptographic tools like Trezor.
License: MIT
Keywords: django auth account trezor registration

# Welcome to crypto-allauth

[![Build Status](https://travis-ci.org/Solution4Future/crypto-allauth.svg?branch=master)](https://travis-ci.org/Solution4Future/crypto-allauth)
[![Requirements Status](https://requires.io/github/Solution4Future/crypto-allauth/requirements.svg?branch=master)](https://requires.io/github/Solution4Future/crypto-allauth/requirements/?branch=master)
[![Shield Status](https://img.shields.io/pypi/v/crypto-allauth.svg)](https://pypi.python.org/pypi/crypto-allauth)
[![Join the chat at https://gitter.im/solution4future/crypto-allauth](https://badges.gitter.im/solution4future/crypto-allauth.svg)](https://gitter.im/solution4future/crypto-allauth?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)

(DISCLAIMER! This software is early alpha and doesn't have tests yet so you are using it on your own)

Crypto-allauth is a library that adds support for some advanced login methods.
It was first drafted at the TREZOR 2 Hackathon in Prague.

Right now you can only use Trezor but plans are to support other hardware encryption solutions.

## Installation

```sh
$ pip install crypto-allauth
```

```py
INSTALLED_APPS = {
        ...
        'allauth',
        'allauth.account',
        'allauth.socialaccount',
        ...
        'crypto_allauth.providers.trezor',
        ...
}

```

And you're all set up.

For the "Login with TREZOR" button to work properly you either need a Chrome plugin or a trezor-bridge daemon. Go to [satoshilabs.com/trezor](http://satoshilabs.com/trezor/) to learn more.

## Roadmap

- U2F support (Yubikey and others)
- Offline Trezor support
- Keybase support

## Final notes

Feel free to create pull requests.

If you feel generous you can donate: [1AnrshDKmzRU57GTNJ2ki1bTKK45NDd2Dn](http://i.imgur.com/hlhWwOO.png)
pyDR 0.1.3
A package for simulating behavior of consumers facing dynamic electricity pricing.
License: MIT
Keywords: economics

# pyDR beta 0.1 - August 2016
Authors: Maximilian Balandat, Clay Campaigne, Lillian Ratliff

Python package for simulating behavior and quantifying welfare effects of electricity consumers facing various dynamic pricing schemes.
This package is the basis for the results reported in:

*C. Campaigne, M. Balandat and L. Ratliff: Welfare Effects of Dynamic Electricity Pricing. In preparation.*

### Requirements / Dependencies:
* gurobipy (+ GUROBI with valid license)
* numpy
* scipy
* pandas
* pytz
* patsy
* logutils (for examples if using python 2)

### Modules:
* dynamic_models.py: Definition of basic dynamic consumption models
* blopt.py: Main module defining model and formulating optimization problem
* utils.py: Specify tariff data and provide utility functions for other modules
* simulation.py: Functions for simulating a large number of different scenarios

### Installation (using setuptools):
* from source: `python setup.py install`
* from pypi: `pip install pyDR`

### Usage:
See scripts in examples folder

### Data:
To run the scripts in the examples folder you will need to download and extract the following [zip file](https://www.ocf.berkeley.edu/~balandat/pyDR_data.zip) (~25MB)
albatross3 0.6.3
A modern async python3 web framework
License: MIT
Keywords: web http server async

|Build Status|

Albatross
=========

A modern, fast, simple, natively-async web framework. (Python3.5 only)

.. code:: python

    from albatross import Server
    import asyncio


    class Handler:
        async def on_get(self, req, res):
            await asyncio.sleep(0.1)
            res.write('Hello, %s' % req.args['name'])


    app = Server()
    app.add_route('/{name})', Handler())
    app.serve()

Notes for Usage
~~~~~~~~~~~~~~~

For now (pre 1.0.0), I'm making no claims about API stability (but will
try to avoid changes). That said, I'm using this framework for some
small projects, and it is a joy to work in! Reach out if you want to use
this, as I'm happy to incorporate your feedback!

Install
-------

::

    pip3 install albatross3

Features
--------

-  You can read the entire codebase in about 30 minutes.

-  It's natively async. Doing ``await`` database calls or controller
   calls in your views just works!

-  This works with the ``uvloop`` project, to make your server fast!

Benchmarks
----------

-  My benchmarks indicate that albatross is as fast as aiohttp, both of
   which are twice as fast as tornado. You can run the benchmarks by
   poking around in the ``bench/`` folder.

.. |Build Status| image:: https://travis-ci.org/kespindler/albatross.svg?branch=master
   :target: https://travis-ci.org/kespindler/albatross