semvec/pypi-packages huggingface dataset:
XulbuX 1.5.4
A library which includes a lot of really helpful functions.
Requires Python: >=3.10.0

# **$\color{#8085FF}\Huge\textsf{XulbuX}$**

**$\color{#8085FF}\textsf{XulbuX}$** is a library which includes a lot of really helpful classes, types and functions.<br>
For the libraries latest changes, see the [change log](https://github.com/XulbuX-dev/Python/blob/main/Libraries/XulbuX/CHANGELOG.md).

## Installation

On all operating systems, run the following command:
```bash
pip install XulbuX
```

## Usage

```python
# GENERAL LIBRARY
import XulbuX as xx
# CUSTOM TYPES
from XulbuX import rgba, hsla, hexa
```
The library **$\color{#8085FF}\textsf{XulbuX}$** (*below used as* `xx` *with above imported types*) contains the following modules:
```python
  • CUSTOM TYPES:
     • rgba(int,int,int,float)
     • hsla(int,int,int,float)
     • hexa(str)
  • PATH OPERATIONS          xx.Path
  • FILE OPERATIONS          xx.File
  • JSON FILE OPERATIONS     xx.Json
  • SYSTEM ACTIONS           xx.System
  • MANAGE ENVIRONMENT VARS  xx.EnvVars
  • CMD LOG AND ACTIONS      xx.Cmd
  • PRETTY PRINTING          xx.FormatCodes
  • COLOR OPERATIONS         xx.Color
  • DATA OPERATIONS          xx.Data
  • STR OPERATIONS           xx.String
  • CODE STRING OPERATIONS   xx.Code
  • REGEX PATTERN TEMPLATES  xx.Regex
```

<br>

--------------------------------------------------------------

[View this library on PyPI](https://pypi.org/project/XulbuX/)
starspotter 0.0.1
Stellar contamination estimates from rotational light curves
Requires Python: >=3.9

# spotter

<p align="center">
    <img src="docs/_static/spotter.png" width="270">
</p>

<p align="center">
Approximate forward models of fluxes and spectra time-series of non-uniform stars
  <br>
  <p align="center">
    <a href="https://github.com/lgrcia/spotter">
      <img src="https://img.shields.io/badge/github-lgrcia/spotter-white.svg?style=flat" alt="github"/></a>
    <a href="LICENCE">
      <img src="https://img.shields.io/badge/license-MIT-lightgray.svg?style=flat" alt="license"/>
    </a>
  </p>
</p>

*spotter* uses the [HEALPix](https://healpix.sourceforge.io/) subdivision scheme and is powered by the high-performance numerical package [JAX](https://jax.readthedocs.io/en/latest/notebooks/quickstart.html), enabling its use on GPUs.

## Installation

For now only locally with

```
pip install -e spotter
```

with *spotter* cloned using
```
git clone https://github.com/lgrcia/spotter
```
error-alerts 6.3
Error alerts via Telegram

### error-alerts
Python error alerts via Telegram

Installation:
`pip install error-alerts`

Options:

`token`: Bot Telegram token.

`channel`: Your Telegram channel ID where you want the alerts to be sent.

`full_error`: Send full traceback with line of code where error occurred (False by default and shown in sample below).

`raise_error`: Raise error and exit code when there is an error. If this is not set to True an alert will be sent and the code will continue running (False by default).

Usage:
```
from error_alerts import alerts

alerts = alerts(token='TELEGRAM_TOKEN', channel=TELEGRAM_CHANNEL_ID, full_error=True, raise_error=True)

try:
    1 / 0
except Exception as error:
    alerts.send(title='Test', exception=error)
```

Output:
```
Test: Traceback (most recent call last):
  File "A:\Code\Python\packages\handler\test.py", line 6, in <module>
    1 / 0
ZeroDivisionError: division by zero
```

Prints that in console and sends a Telegram alert to the channel you specified
pyroll-hitchcock-roll-flattening 3.0.0
PyRolL plugin providing the roll flattening model from J. Hitchcock.
Requires Python: >=3.9

# PyRolL Hitchcock Roll Flattening

PyRolL plugin providing the roll force correction through flattening by J. Hitchcook adapted by Bohm and Flaxa.

For the docs, see [here](docs/docs.pdf).

This project is licensed under the [BSD-3-Clause license](LICENSE).

The package is available via [PyPi](https://pypi.org/project/pyroll-hitchcook-roll-flattening/) and can be installed with
    
    pip install pyroll-hitchcock-roll-flattening