semvec/pypi-packages huggingface dataset:
ckbit 1.0.0
Kinetic Bayesian Inference
Requires Python: >=3.7

Chemical Kinetic Bayesian Inference Toolbox (CKBIT)
===================================================

The **C**\hemical **K**\inetic **B**\ayesian **I**\nference
**T**\oolbox (CKBIT) is a Python library for applying
Bayesian inference to kinetic rate parameters developed
by the Vlachos Research Group at the University of Delaware.

Documentation
-------------
Documentation can be found at this webiste:
https://vlachosgroup.github.io/ckbit/

Examples
--------
There are examples of the code in the Github examples 
folder. The examples are provided in both Python scripts 
and in Jupyter notebooks. Ensure the accompanying Excel 
files are used as templates for data entry.

Developers
----------
Max Cohen (maxrc@udel.edu)

Dependencies
------------
* PyStan2: Interfaces with Stan for optimized Bayesian 
  inference computation - archieved repository
* Datetime: Measures computational runtime
* NumPy: Provides efficient array manipulation
* Pickle: Creates and stores portable, serialized 
  representations of Python objects for repeat model usage
* Hashlib: Interfaces to hash functions for naming stored 
  models
* Matplotlib: Visualizes data outputs
* Pandas: Interfaces with Excel for facile data processing 
  of inputs
* ArviZ: Provides specialized visualization of inference 
  outputs
* Vunits: Converts common physical units
* Tabulate: Generates tabulated displays of inference 
  outputs

Getting Started
---------------
See the installation html file in the docs folder 
for detailed instructions.

License
-------
This project is licensed under the MIT License - 
see the LICENSE file for details.

Contributing and Questions
--------------------------
If you have a suggestion, find a bug, or have a question,
please post to our Issues page on the Github.

Funding
-------
We acknowledge support by the RAPID manufacturing institute, 
supported by the Department of Energy (DOE) Advanced 
Manufacturing Office (AMO), award number DE-EE0007888-9.5. 
RAPID projects at the University of Delaware are also made 
possible in part by funding provided by the State of Delaware. 
The Delaware Energy Institute gratefully acknowledges the 
support and partnership of the State of Delaware in furthering 
the essential scientific research being conducted through the 
RAPID projects.

Special Thanks
--------------
* Dr. Jonathan Lym 
* Dr. Jeffrey Frey
auto-lyrics 1.0.2
Xtiming generator for singing faces

# XLights xtiming Generator

This repo is a simple python CLI script that takes a generated JSON file from [Auto Lyrix Align](https://autolyrixalign.hltnus.org) & outputs a valid xtiming file ready to use in Xlights.

## Dependencies
Install ths in a python environment.

```shell
pip install auto-lyrics
```

[comment]: <> (Do you?? You need a Python environment > 3.0 with setuptools & pip)


## How Do I Generate a Singing Face?
You'll need a YouTube video or MP3 of your chosen track.

Pop over to [Auto Align Lyrix](https://autolyrixalign.hltnus.org/). 

Choose YouTube or MP3

Give the form the location of the YouTube vid, or the MP3 you have locally.

Find the lyrics for the audio track & save them to your local device ie. "SladeChristmas.txt"

Fill in the 2 boxes on the website & press 'Next' on the form

Wait a few mins until your lyric track is ready for download.

When it is ready, you'll see a screen with the lyrics & a play button. If you press play you can sense check the audo & lyric combo to ensure you have a sensible output. There is some limitations to the output, like warbling, ohohoh on an "oh" word, the timings aren't going to pick that up so a manual tweak in xlights will be required. 

During testing, sometimes I found it will add a lyric saying 'BREATH*', you'll need to tweak these before or after importing to xlights.

### IMPORTANT 
After generating lyrics, click 'Download Aligned Lyrics' & choose the 'Json Lyrics' option.

Save the file somewhere thats easy to access ie "/home/User/SladeJson.txt"

Usng this lib, execute:

```shell
lyrics -t "Slade - Merry Christmas Everybody" /home/User/SladeChristmasJson.txt xtimingSlade.xtiming
```

If you want the help text run:

```shell
lyrics --help
```