semvec/pypi-packages huggingface dataset:
kosihubpublisher 0.0.1
A tool to update information on KOSi Hub
Requires Python: >=3
Keywords: KOSi python

# KOSiHubPublisher

## Installation
You can get it from Bitbucket:

git clone https://bitbucket.it.keysight.com/scm/fus/kosihubpublisher_repo.git

cd kosihubpublisher_repo

python setup.py install

## Compiler Support
- Python 3
x10_any 0.0.8
Issue x10 commands via CM17A Firecracker or Mochad (CM15A RF/PL and CM19A RF)

x10_any
=======

Wrapper module to control X10 devices.

.. image:: https://travis-ci.org/clach04/x10_any.svg?branch=master
    :target: https://travis-ci.org/clach04/x10_any

Table of Contents
~~~~~~~~~~~~~~~~~

* `Information`_
* `Getting Started`_


Information
-----------

Initial focus is supporting:

* Mochad (or compatible) servers to control

  * https://sourceforge.net/projects/mochad/ for CM15A RF (radio frequency) and PL (power line) controller and the CM19A RF controller
  * https://bitbucket.org/clach04/mochad_firecracker/ works under Windows and Linux and can control CM17A serial Firecracker
  
* CM17A serial Firecracker X10 unit, builtin support for CM17A over regular serial port. Also known to work with CM19A USB Firecracker device. For control via GPIO on Raspberry Pi manually install:

  * https://bitbucket.org/cdelker/python-x10-firecracker-interface can be used on Raspberry Pi to control GPIO, not (yet) Python 3 compatible and does not support ALL on/off

Implemented in pure Python. Known to work with:

* Python 2.7
* Python 3.4.4
* Python 3.5

Getting Started
---------------

To get started and install the latest version from
`PyPi <https://pypi.python.org/pypi/x10_any/>`_::

    pip install x10_any

If installing/working with a source checkout issue::

    pip install -r requirements.txt

Then run tests via::

    python -m x10_any.test.tests

Serial Port Permissions under Linux
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Under Linux most users do not have serial port permissions,
either:

* give user permission (e.g. add to group "dialout") - RECOMMENDED
* run this demo as root - NOT recommended!

Giver user dialout (serial port) access::

    # NOTE requires logout/login to take effect
    sudo usermod -a -G dialout $USER

Sample
~~~~~~

Mochad::

    import x10_any
    
    x10_any.default_logger.setLevel(x10_any.logging.DEBUG) # DEBUG
    
    dev = x10_any.MochadDriver()
    dev.x10_command('A', 1, x10_any.ON)
    dev.x10_command('A', 1, x10_any.OFF)

Firecracker::

    import x10_any
    
    x10_any.default_logger.setLevel(x10_any.logging.DEBUG) # DEBUG
    
    dev = x10_any.FirecrackerDriver()
    #dev = x10_any.FirecrackerDriver('COM11')
    #dev = x10_any.FirecrackerDriver('/dev/ttyUSB0')
    dev.x10_command('A', 1, x10_any.ON)
    dev.x10_command('A', 1, x10_any.OFF)

.. |Codeship Status for clach04/x10_any| image:: https://codeship.com/projects/f7535da0-2dd5-0134-789e-12bd9e093a4a/status?branch=master
   :target: https://codeship.com/projects/163630
rlrisk 1.0.2.3
A reinforcement learning environment based off the board game Risk
Requires Python: ~=3.3

RLRisk
==============================

A reinforcement learning environment based off the board game Risk. Designed with reinforcement learning in mind, this project aims to streamline research for economy-based games.

Getting Started
------------------------------

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Dependencies
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

- numpy <= 1.14
- pygame <= 1.9

User installation
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

The easiest way to install this package is through PyPi

::

    pip install rlrisk

Otherwise you can manually install this package by cloning
the repository to your local computer

::

    git clone https://github.com/civrev/RLRisk

Then navigate to that directory and run setup.py

::

    python setup.py install

Working with RLRisk
------------------------------

RLRisk was a project concieved to streamline research by coding an environment already friendly to reinforcement learning techniques. As such working with RLRisk is extremely easy.

The Environment
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

The environment is the standard Wolrd Domination game rules for Risk by Hasbro. You can find these rules here: https://www.hasbro.com/common/instruct/risk.pdf

The environment is located in the file risk.py and is implemented using the class Risk(). The class is flexible enough to be initiallized with extremely custom rules, but for the most common game of Risk you can create a Risk object using only a list of players

::

    from rlrisk.agents import *
    from rlrisk.environment import *

    players = [BaseAgent(), AggressiveAgent()]
    env = Risk(players)
    results = env.play()

Agents
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

RLRisk comes with 3 agents, the BaseAgent, Human, and AggressiveAgent classes. All new agents must be subclasses of the BaseAgent class, but looking at the BaseAgent will show you that the framework of agents for RLRisk is very straight forward. It takes in the information it need to make a decision, and then it outputs a decision.

Final Remarks
------------------------------
This is my Senoir Project for my B.S. in Computer Science at the University of North Georgia
(Graduating May, 2018)
qtip 5.0.0.dev168
Platform Performance Benchmarking

QTIP provides Benchmarking as a Service for OPNFV community

[![License](https://img.shields.io/github/license/opnfv/qtip.svg)](https://git.opnfv.org/qtip/tree/LICENSE)
[![Jenkins](https://img.shields.io/jenkins/s/https/build.opnfv.org/ci/view/qtip/job/qtip-verify-master.svg)](https://build.opnfv.org/ci/view/qtip/job/qtip-verify-master/)
[![Jenkins coverage](https://img.shields.io/jenkins/c/https/build.opnfv.org/ci/view/qtip/job/qtip-verify-master.svg)](https://build.opnfv.org/ci/view/qtip/job/qtip-verify-master/cobertura)
[![PyPI](https://img.shields.io/pypi/v/qtip.svg)](https://pypi.python.org/pypi/qtip)
[![Docker Pulls](https://img.shields.io/docker/pulls/opnfv/qtip.svg)](https://hub.docker.com/r/opnfv/qtip/)

See [project wiki](https://wiki.opnfv.org/display/qtip) for more information.