semvec/pypi-packages huggingface dataset:
yagls 1.4.0
Yet Another Github Label Synchroniser
License: MIT
Requires Python: >=3.10,<4.0

# yagls
Yet Another Github Label Synchroniser.

## Inspiration
I wanted to be good at labeling at GitHub. Therefore, for reference, I searched for well-labeled repositories.

However, it was hard work to carry the labels of the repository on a single way. I looked up Github Label Synchroniser to find some efficient way, but I didn't like they.

That's why I made the Yet Another Github Label Synchronizer.

## Feather
* Copy and paste labels from the repository
* Save token
* Automatically navigate through repositories with only the name of the repository
astro-forecaster 2.0.2
Probabilistically forecast astronomical masses and radii
License: MIT

# astro-forecaster (forecaster 2ish)
-----

-----

An internally overhauled but fundamentally similar version of Forecaster by Jingjing Chen and David Kipping, originally presented in [Probabilistic Forecasting of the Masses and Radii of Other Worlds](https://ui.adsabs.harvard.edu/abs/2017ApJ...834...17C/abstract) and hosted at [here](https://github.com/chenjj2/forecaster).

The model itself has not changed- no new data was included and the hyperparameter file was not regenerated. All functions were rewritten to take advantage of Numpy vectorization and some additional user features were added.

## Installation and basic use
-----
To install this package with [`pip`](https://pip.pypa.io/en/stable/), run

```bash
pip install astro-forecaster
```

As a basic example, here is how you would calculate the radius posterior of a 1 Jupiter mass object:

```python
import forecaster
import numpy as np

forecasted_radius_posterior = forecaster.Mpost2R(np.ones(int(1e3)), unit='Jupiter', classify=False)
```

See the [demo notebook](https://github.com/ben-cassese/astro-forecaster/blob/main/demo.ipynb) for more examples.

## Changes
-----
Changes include but are not limited to:
* Rewriting all functions to take advantage of Numpy vectorization
* Including the ability to input asymmetric uncertainties in mass or radius
* Enabling pip installation


## Citation
-----
If used, please cite [the original Forecaster paper](https://ui.adsabs.harvard.edu/abs/2017ApJ...834...17C/abstract) and the bibcode for this implementation eventually hosted on the Astrophysics Source Code Library (ASCL).
filers2 0.2.0
Video tools for recording experiments.
License: MIT

Filers2
========

Video tools for recording experiments.

For more information: https://matham.github.io/filers2/index.html

To install https://matham.github.io/filers2/installation.html

.. image:: https://img.shields.io/pypi/pyversions/filers2.svg
    :target: https://pypi.python.org/pypi/filers2/
    :alt: Supported Python versions

.. image:: https://img.shields.io/pypi/v/filers2.svg
    :target: https://pypi.python.org/pypi/filers2/
    :alt: Latest Version on PyPI

.. image:: https://coveralls.io/repos/github/matham/filers2/badge.svg?branch=master
    :target: https://coveralls.io/github/matham/filers2?branch=master
    :alt: Coverage status

.. image:: https://github.com/matham/filers2/workflows/Python%20application/badge.svg
    :target: https://github.com/matham/filers2/actions
    :alt: Github action status