semvec/pypi-packages huggingface dataset:
unicorn-hat-sim 1.0.0
Unicorn HAT (HD) simulator - Originally by Jannis Hermanns <jannis@gmail.com>
License: MIT
Keywords: raspberrypi,unicorn,hat,led,simulator

Unicorn HAT (HD) simulator
==========================

Simulates an Unicorn HAT HD (and should work for the 8x8 HAT and the 8x4
PHAT as well) using pygame.

Usage
-----

If you want your code to run on your computer as well as your Pi, you
could do something like this:

1. ``pip install unicorn-hat-sim`` (or ``pip2`` or ``pip3`` depending on
   your setup)
2. Adjust your ``import unicornhathd`` statement as follows:

.. code:: python

    try:
        import unicornhathd as unicorn
        print("unicorn hat hd detected")
    except ImportError:
        from unicorn_hat_sim import unicornhathd as unicorn

You can choose from ``import unicornhathd`` (16x16),
``import unicornhat`` (8x8) and ``import unicornphat`` (8x4).

Demo
----

(Note that this gif has a low framerate, the simulator runs nice and
smooth in real life)

.. figure:: https://cl.ly/2s070z1k0L3J/Screen%20Recording%202017-06-26%20at%2011.12%20PM.gif
   :alt: Demo

   Demo

TODO
----

-  [ ] find a python person who shows me how this would be done properly
-  [ ] fix/check rotation
-  [ ] add a proper LED glow effect so it looks more like a real unicorn
   HAT
-  [ ] publish via pip
mirasol 0.0.1
A self-contained backend-independent version of FLOW for (deep) reinforcement learning in a network environment.
License: MIT
Keywords: deep reinforcement learning on networks

This is a minimized version of FLOW (https://github.com/berkeleyflow/flow) stack. It allows users to define a custom environment backend and a custom agent backend. The current version supports SUMO (https://github.com/eclipse/sumo) as the environment backend and tensorflow (https://github.com/tensorflow) as the agent backend.
pyBusylight 0.9.2
Python Library for Kuando Busylight device.
License: MIT
Requires Python: >=2.7
Keywords: kuando busylight

# pyBusylight

pyBusylight is a native python library which controls Kuando Busylight devices. It is intented to serve as a foundational component which can be integrated into other higher-level scripts.

pyBusylight makes use of PyUSB to control Busylight and used extensive cues from the [busylight node library](https://github.com/porsager/busylight).

## Dependencies
* signal
* pyusb

_Note: Pyusb requires at least one of the three supported backends to be installed. Install a backend like so._

    If you're on a MAC you can install libusb via:
```
        $ brew install libusb
```
    On Windows you can follow the info here.
        https://github.com/walac/pyusb/blob/master/README.rst#installing

    On Ubuntu 16.04/18.04
```
    sudo apt-get install libusb-1.0-0 """)
```

## Most Simple Use Case
```
user@hostname$ sudo python3

from pybusylight import pybusylight

bl=pybusylight.busylight()

bl.send()
```

## Run the Example.py script to see all supported features
```
sudo python3 ./example.py
```