semvec/pypi-packages huggingface dataset:
RFN 0.0.1
RF Notifier.
License: MIT
Requires Python: >=3.6.0


�� setup.py (for humans)
=======================

This repo exists to provide [an example setup.py] file, that can be used
to bootstrap your next Python project. It includes some advanced
patterns and best practices for `setup.py`, as well as some
commented–out nice–to–haves.

For example, this `setup.py` provides a `$ python setup.py upload`
command, which creates a *universal wheel* (and *sdist*) and uploads
your package to [PyPi] using [Twine], without the need for an annoying
`setup.cfg` file. It also creates/uploads a new git tag, automatically.

In short, `setup.py` files can be daunting to approach, when first
starting out — even Guido has been heard saying, "everyone cargo cults
thems". It's true — so, I want this repo to be the best place to
copy–paste from :)

[Check out the example!][an example setup.py]

Installation
-----

```bash
cd your_project

# Download the setup.py file:
#  download with wget
wget https://raw.githubusercontent.com/navdeep-G/setup.py/master/setup.py -O setup.py

#  download with curl
curl -O https://raw.githubusercontent.com/navdeep-G/setup.py/master/setup.py
```

To Do
-----

-   Tests via `$ setup.py test` (if it's concise).

Pull requests are encouraged!

More Resources
--------------

-   [What is setup.py?] on Stack Overflow
-   [Official Python Packaging User Guide](https://packaging.python.org)
-   [The Hitchhiker's Guide to Packaging]
-   [Cookiecutter template for a Python package]

License
-------

This is free and unencumbered software released into the public domain.

Anyone is free to copy, modify, publish, use, compile, sell, or
distribute this software, either in source code form or as a compiled
binary, for any purpose, commercial or non-commercial, and by any means.

  [an example setup.py]: https://github.com/navdeep-G/setup.py/blob/master/setup.py
  [PyPi]: https://docs.python.org/3/distutils/packageindex.html
  [Twine]: https://pypi.python.org/pypi/twine
  [image]: https://farm1.staticflickr.com/628/33173824932_58add34581_k_d.jpg
  [What is setup.py?]: https://stackoverflow.com/questions/1471994/what-is-setup-py
  [The Hitchhiker's Guide to Packaging]: https://the-hitchhikers-guide-to-packaging.readthedocs.io/en/latest/creation.html
  [Cookiecutter template for a Python package]: https://github.com/audreyr/cookiecutter-pypackage
RobotFrameworkSlackNotifier 1.0.1
RF Notifier.
License: MIT
Requires Python: >=3.6.0


�� setup.py (for humans)
=======================

This repo exists to provide [an example setup.py] file, that can be used
to bootstrap your next Python project. It includes some advanced
patterns and best practices for `setup.py`, as well as some
commented–out nice–to–haves.

For example, this `setup.py` provides a `$ python setup.py upload`
command, which creates a *universal wheel* (and *sdist*) and uploads
your package to [PyPi] using [Twine], without the need for an annoying
`setup.cfg` file. It also creates/uploads a new git tag, automatically.

In short, `setup.py` files can be daunting to approach, when first
starting out — even Guido has been heard saying, "everyone cargo cults
thems". It's true — so, I want this repo to be the best place to
copy–paste from :)

[Check out the example!][an example setup.py]

Installation
-----

```bash
cd your_project

# Download the setup.py file:
#  download with wget
wget https://raw.githubusercontent.com/navdeep-G/setup.py/master/setup.py -O setup.py

#  download with curl
curl -O https://raw.githubusercontent.com/navdeep-G/setup.py/master/setup.py
```

To Do
-----

-   Tests via `$ setup.py test` (if it's concise).

Pull requests are encouraged!

More Resources
--------------

-   [What is setup.py?] on Stack Overflow
-   [Official Python Packaging User Guide](https://packaging.python.org)
-   [The Hitchhiker's Guide to Packaging]
-   [Cookiecutter template for a Python package]

License
-------

This is free and unencumbered software released into the public domain.

Anyone is free to copy, modify, publish, use, compile, sell, or
distribute this software, either in source code form or as a compiled
binary, for any purpose, commercial or non-commercial, and by any means.

  [an example setup.py]: https://github.com/navdeep-G/setup.py/blob/master/setup.py
  [PyPi]: https://docs.python.org/3/distutils/packageindex.html
  [Twine]: https://pypi.python.org/pypi/twine
  [image]: https://farm1.staticflickr.com/628/33173824932_58add34581_k_d.jpg
  [What is setup.py?]: https://stackoverflow.com/questions/1471994/what-is-setup-py
  [The Hitchhiker's Guide to Packaging]: https://the-hitchhikers-guide-to-packaging.readthedocs.io/en/latest/creation.html
  [Cookiecutter template for a Python package]: https://github.com/audreyr/cookiecutter-pypackage
thad-roberts-model 0.1.6.1
Thad Roberts Model Library
License: MIT
Requires Python: >=3.7

# Thads Roberts Model Library
## The idea
Thads Roberts Model Library was built to check the properties, validity and level of confidence of Thads Roberts Model particles masses equations presented here:

https://vortex.institute/wp-content/uploads/2020/03/The-Boundaries-of-Fluid-Quantization-Draft-2020-03-30.pdf

and developed by organization called Vortex Institute (https://vortex.institute).
The model is also sometimes called as Non-Viscous Quantum Fluid Space Theory.

For the purpose of this library we will name Ramanujan-Soldner constant with RS abbreviation, and N real solution to the simple vortex equation as RSSVE_N.
The idea is to calculate values of RS+3+Pi predicted by each equation with error range, and confront it with exact RS+3+Pi value.
Particle masses are taken from NIST 2018 standard with symmetric error as a max of asymmetric errors if asymmetry is present.
Numerical calculations error problem was solved by applying Decimal class as a number representation. 

## Code form

It is standard pypi.org package.

## How to install

You can install last version from pypi.org using pip:

`pip install thad_roberts_model`

## How to use it?
Currently Library prints analytical report when:

```
from thad_roberts_model import *

ThadRobertsModel().verify()
```

is called.

## Results discussion

Above report shows that Thads Roberts Model is in agreement with physical mass data in the error range, but confidence level of equality with RS+3+Pi value is low for all except one equation.
Only one equation for NEUTRON, PROTON, ELECTRON triplet gives 6 digit accuracy for RS+3+Pi constant in base 10 system, which is very good result, but this is the only equation with such a good agreement.
One equation gives 2 digits accuracy, and three other equations give 1 digit accuracy.
There is also a question regarding reliability of mass measurement due to renormalization problem, but it is not a topic for this library.
Due to big errors of mass measurement and renormalization problem it will be very difficult to verify experimentally Thads Roberts Model masses equations except for the NEUTRON, PROTON, ELECTRON triplet.

## Versioning strategy
[revolutionary].[API].[code].[doc]