semvec/pypi-packages huggingface dataset:
pyarcticspas 0.2.4
A high-level client library for accessing Arctic Spas API
Requires Python: >=3.8, <4

# pyarcticspas
A high-level python client library for accessing Arctic Spas API.

## Usage

Example:
```python
from pyarcticspas import Spa, LightState, Blower, BlowerState


token = "(Token received from https://myarcticspa.com/spa/SpaAPIManagement.aspx)"
spa = Spa(token)

status=spa.status()
print(status.connected) #True
print(status.lights.value) #off
print(status.blower1.value) #off

spa.set_lights(LightState["ON"])
spa.set_blowers(Blower["VALUE_0"],BlowerState["ON"])

status=spa.status()
print(status.lights.value) #on
print(status.blower1.value) #on
```

If you are using asynchronous calls, use the `async_` version of the calls.
ro-diacritics 0.9.4.2
Python API for Romanian diacritics restoration
Keywords: romanian diacritcs language restoration diacritice python

# RO Diacritics module

**RO Diacritics** is a straightforward diacritics restoration module for Romanian Language

```python
from ro_diacritics import restore_diacritics
print(restore_diacritics("fara poezie, viata e pustiu"))
```

or correcting a pandas dataframe:

```python
from ro_diacritics import restore_diacritics
df['text-diacritice'] = df['text'].apply(restore_diacritics)
```

## Installing

```console
$ python -m pip install ro-diacritics
```
or

```console
$ pip install ro-diacritics
```

## Requirements

 * torch and torchtext
 * numpy
 * nltk and scikit-learn (for training)
 * needs nltk.download('punkt') for tokenization

## References

- Ruseti, S., Cotet, T. M., & Dascalu, M. (2020). Romanian Diacritics Restoration Using Recurrent Neural Networks. arXiv preprint arXiv:2009.02743.
- https://github.com/teodor-cotet/DiacriticsRestoration
reprograph 0.1.0
Framework for humane data analysis and reporting
Requires Python: >=3.7

==========
reprograph
==========


.. image:: https://img.shields.io/pypi/v/reprograph.svg
        :target: https://pypi.python.org/pypi/reprograph

.. image:: https://img.shields.io/travis/datagazing/reprograph.svg
        :target: https://travis-ci.com/datagazing/reprograph

.. image:: https://readthedocs.org/projects/reprograph/badge/?version=latest
        :target: https://reprograph.readthedocs.io/en/latest/?version=latest
        :alt: Documentation Status




Framework for humane data analysis and reporting


* Free software: MIT license
* Documentation: https://reprograph.readthedocs.io.


Features
--------

* TODO

Credits
-------

This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage
NiftiResampler 0.1.1
Tools for reading dicom files, RT structures, and dose files, as well as tools for converting numpy prediction masks back to an RT structure

# Resample_Class

For resampling nifti images (likely for medical purposes)

## Installation

```
    pip install NiftiResampler
```

### Usage

```python
from NiftiResampler.ResampleTools import ImageResampler, sitk

Resampler = ImageResampler()
base_image = sitk.ReadImage(image_path)
desired_dimensions = (0.975, 0.975, 5.0)
resampled = Resampler.resample_image(input_image_handle=base_image, ref_resampling_handle=None,
                                     output_spacing=(0.975, 0.975, 5), interpolator='Linear', empty_value=-1024)
```
chipi-chipi 1.0.3
Small project made for fun :3
Requires Python: >=3.6

# CHIPI CHIPI 
Small fun project.

# Install 
```bash
pip install chipi-chipi
```

# Run
```bash
chipi-chipi
```

# For linux users
Playing sound could improve when pygobject is installed 
```bash
pip install pygobject
```

# Acknowledgement
Package is based on digitPixelz's [terminal-video-player-py](https://pypi.org/project/terminal-video-player-py/). Thank your for your work!