semvec/pypi-packages huggingface dataset:
DustyGlow 0.0.1
DustyGlow is a standalone python library with Fortran legacy routines for absorption (attenuation) and python scripts for remission of dust in the IR. IMPORTANT: It uses the optically thin limit.

# DustyGlow - Absorption (Attenuation) and Reemission of Dust Particles

**Authors:** Jean Gomes, Catarina Lobo  
**Student:** André Pinheiro

**Contact:**  
- Jean Gomes: [antineutrinomuon@gmail.com](mailto:antineutrinomuon@gmail.com), [jean@astro.up.pt](mailto:jean@astro.up.pt)

last stable version: 0.0.1

## About
DustyGlow is a software program designed for absorption (ATTENUATION) and reemission analysis. This README file provides essential information about the project.

## Contributors

- Jean Gomes (Software Developer, Advisor): Jean is primarily responsible for
  the software development and implementation of DustyGlow. He provided
  guidance and served as an advisor throughout the project.

- Catarina Lobo (Co-Advisor): Catarina provided valuable assistance during the
  project. She also help guided in the selection of the sample. She co-advised
  the project, offering insights and expertise.

- André Pinheiro (MSc Student): André contributed to the project as a Master's
  student. He actively participated in the research and test of the code
  DustyGlow.

![Barnard 68](figures/Barnard-68.jpeg)
Barnard 68 is a molecular cloud, dark absorption nebula or Bok globule.

<table>

<tr><td align='center'><img width=50 src="https://github.com/neutrinomuon/PyDust/blob/main/figures/logs.jpg?raw=true"></td><td>LOGS</td></tr>

<tr><td>19/12/2022</td>
<td>J.G. changed nomenclature from Remission to Reemission. All directories and routines were affected</td></tr>

<tr><td>18/11/2022</td>
<td>A.P. added photometric and output directories to PyDust</td></tr>


<tr><td>24/10/2022</td>
<td>J.G. added new format for LOGs added. Verification and change of directory structure</td></tr>

<tr><td>16/10/2021</td>
<td>J.G. uploaded the routines concerning absorption in the UV/Optical. Try to plot them as a function of wavelength from 91 to 15000 Angstroms to see the different behavior of extinction laws.</td></tr>

<tr><td>15/01/2022</td>
<td>J.G. uploaded correction for the reddening laws. We can use as well to compare the extinction package, but it is limited to a few extinction laws.<p>

J.G. added a directory called Literature. Please feel free to include papers of interest.
</td></tr>

<tr><td>14/01/2022</td>
<td>J.G. uploaded the recorded video from our joint meeting on 13/01/2022. The purpose of this meeting was to have a first grasp of the PyDust.py module.</td></tr>

<tr><td>12/01/2022</td>
<td>J.G. uploaded the PyDust module written in Python.</td></tr>

<tr><td>05/06/2023</td>
<td>J.G. modified the PyDust module in order to implement optimisation</td></tr>

<tr><td>25/09/2023</td> <td>J.G. modified the name PyDust to DustyGlow, since
there was during this year a registration of the PyDust package on the PyPI
library, which is not related to astronomy.</td></tr>

<tr><td>25/09/2023</td> <td>J.G. registered the name DustyGlow in the PyPI
platform.</td></tr>

</table>
reply-ai-predictors 0.0.4
Package for encapsulation of AI models to use in Reply AI services
Requires Python: >=3.7

# Predictors package
This package is used to encapsulate AI models functionality and simplify their usage for direct requests or tuning. The package contains Predictor as a template for other predictors and model wrappers: 
- DaVinciModel
- TextDavinciZeroZeroThree
- GPTThreeFiveTurbo
- CurieModel
Helpers include SafetyChecker, AIAssistantConfigHandler and PresetsHandler. 

## Package installation guide
To install package with pip use:
`pip install reply-ai-predictors`

To install package locally without usage of pip run this command:
`python3 setup.py install`

## Package release guide
1. Change package version in setup files (setup.py and setup.cfg)
2. Rebuild package after the changes (to update generated directories and egg-info files):
`pip install build`
`python -m build`
3. Push the changes to the repo and create a release in Releases tab. 
Create a new tag with new package version to generate release notes. The workflow described in `python-publish.yml` will be used for pushing new package version to pip.
alto-tools 0.1.0
Perform various operations on ALTO xml files
Requires Python: >=3.7
Keywords: optical character recognition,digital libraries

<h3 align="center">ALTO Tools</h3>
<p align="center">
  <a href="https://www.python.org/">:snake:</a> tools for performing various operations on <a href="http://www.loc.gov/standards/alto/">ALTO</a> XML files
</p>
<p align="center">
  <!--<a href="pypi.org/project/alto-tools/"><img src="https://img.shields.io/pypi/v/alto-tools.svg" title="PyPI Version"></a>-->
  <a href="https://github.com/cneud/alto-tools/actions/workflows/tests.yml"><img src="https://github.com/cneud/alto-tools/actions/workflows/tests.yml/badge.svg" title="GitHub Actions Tests Status"></a>
  <a href="https://opensource.org/license/apache-2-0/"><img src="https://img.shields.io/github/license/cneud/alto-tools" title="Apache Software License 2.0"></a>
</p>

---

## Installation

Clone the repository, enter it and run

```bash
pip install .
```

## Usage

```bash
alto-tools <INPUT> [OPTION] 
```

`INPUT` should be the path to an ALTO file or directory containing ALTO files.

Output is sent to `stdout`.

| OPTION | Description |
|--------|:------------|
| `-t` `--text`  | Extract UTF-8 encoded text content |
| `-c` `--confidence`  | Extract mean OCR word confidence score |
| `-i` `--illustrations`  | Extract bounding box coordinates of `<Illustration>` elements |
| `-g` `--graphics`  | Extract bounding box coordinates of `<GraphicalElement>` elements |
pyioapso 1.0.0
Cool package.

ï»¿# sss
>An API Management tool written in Python.

[![MIT license](https://img.shields.io/badge/License-MIT-blue.svg)](https://lbesson.mit-license.org/)
![PyPI](https://img.shields.io/badge/pypi-v1.0.0-blue)
![PyPI - Python Version](https://img.shields.io/pypi/pyversions/requests.svg)
![PyPI - Wheel](https://img.shields.io/pypi/wheel/pywol.svg)
![CircleCI branch](https://img.shields.io/circleci/project/github/erberlin/pywol/master.svg)

pystob allows for API Authorization Management and allows to build REST-Based API with custom JSON syntax.
pystob can be used as a plugin for many API Repository such as [FRPC](https://github.com/seznam/fastrpc) and many others.

## Installation

```console
$ pip install pystob
```

## Usage examples
As an API Management Tool :
```console
$ pywool -u api.redacted.com -t "FRPC_BASED" -l -vv
Retrieve list from [api.redacted.com] | AUTHORIZATION: None | BASED: FRPC_TECH
$
$ pywool -u api.redacted.com -t "REST_BASED" -d "JSON" -auth <AUTH_EXAMPLE> -l -vv
Retrieve list from [api.redacted.com] | AUTHORIZATION: <AUTH_EXAMPLE> | BASED: REST_API
$
$ pywool --help
Usage: pywool -u API_URL [OPTIONS]

  API Management for the Pywool package.

  Please don't type any hypertext protocol such as "https://" or "http://" because they can 
  corrupt the results. The standard URL_TYPE is <SUBDOMAIN>.<BASE>.<DOMAIN>:<PORT>

Options:
  -u, --url URL  Please respect the standards described above
  -p, --port PORT      Target port.
  -vv, --verbose
  -t, --technology OPTIONS
  -l, --list
  -b, --build URL Please check documentation to build your own API with Pywool Tool
  -d, --data OPTIONS
  --help                   Show this message and exit.
```
## Why create API Builder and Manager ?
I needed one and this was an opportunity to learn some stuff.

## Meta

 Kevin Jonsson- jonsson.dev@gmail.com

Distributed under the MIT license. See ``LICENSE`` for more information.
pykokalalz 1.0.0
Cool package.

ï»¿# sss
>An API Management tool written in Python.

[![MIT license](https://img.shields.io/badge/License-MIT-blue.svg)](https://lbesson.mit-license.org/)
![PyPI](https://img.shields.io/badge/pypi-v1.0.0-blue)
![PyPI - Python Version](https://img.shields.io/pypi/pyversions/requests.svg)
![PyPI - Wheel](https://img.shields.io/pypi/wheel/pywol.svg)
![CircleCI branch](https://img.shields.io/circleci/project/github/erberlin/pywol/master.svg)

pystob allows for API Authorization Management and allows to build REST-Based API with custom JSON syntax.
pystob can be used as a plugin for many API Repository such as [FRPC](https://github.com/seznam/fastrpc) and many others.

## Installation

```console
$ pip install pystob
```

## Usage examples
As an API Management Tool :
```console
$ pywool -u api.redacted.com -t "FRPC_BASED" -l -vv
Retrieve list from [api.redacted.com] | AUTHORIZATION: None | BASED: FRPC_TECH
$
$ pywool -u api.redacted.com -t "REST_BASED" -d "JSON" -auth <AUTH_EXAMPLE> -l -vv
Retrieve list from [api.redacted.com] | AUTHORIZATION: <AUTH_EXAMPLE> | BASED: REST_API
$
$ pywool --help
Usage: pywool -u API_URL [OPTIONS]

  API Management for the Pywool package.

  Please don't type any hypertext protocol such as "https://" or "http://" because they can 
  corrupt the results. The standard URL_TYPE is <SUBDOMAIN>.<BASE>.<DOMAIN>:<PORT>

Options:
  -u, --url URL  Please respect the standards described above
  -p, --port PORT      Target port.
  -vv, --verbose
  -t, --technology OPTIONS
  -l, --list
  -b, --build URL Please check documentation to build your own API with Pywool Tool
  -d, --data OPTIONS
  --help                   Show this message and exit.
```
## Why create API Builder and Manager ?
I needed one and this was an opportunity to learn some stuff.

## Meta

 Kevin Jonsson- jonsson.dev@gmail.com

Distributed under the MIT license. See ``LICENSE`` for more information.