semvec/pypi-packages huggingface dataset:
btcmd 1.2
Bookmark Terminal Commands - btcmd
License: MIT
Keywords: terminal,bookmark,commands

# Bookmarked Terminal Commands - btcmd
## About
If you need to type extensive commands on a daily basis, whether to connect to a server or to clean up unused container images, this tool is for you. You can mark your favorite commands and call them from a simple shortcut, all in the comfort of an installation via pip.

## Requirements 
- Python

## Installation
- Open your terminal and type `pip install btcmd`
- After installing run: `btcmd -h` for more details. It's very easy to use.

## How to use
#### To list all saved commands, type in terminal:
- `btcmd -l` 
#### To save a command with an nickname, type in terminal:
- `btcmd -s 'COMMAND_YOU_WANT_TO_SAVE' -n COMMAND_NICKNAME`
#### To rename a command's nickname, type in terminal:
- `btcmd -n 'COMMAND_YOU_WANT_TO_RENAME'`
#### To delete a saved command, type in terminal:
- `btcmd -d COMMAND_NICKNAME` 
#### To run the command by the nickname, type in terminal:
- `btcmd -r COMMAND_NICKNAME` or simply `btcmd COMMAND_NICKNAME`
#### To see help details, type in terminal:
- `btcmd -h`
heic-image-converter 1.0.0
Convert .HEIC Images!
License: MIT
Requires Python: >=3.8
Keywords: image,image-processing,heic,heic-to-png

# Convert those Pesky `.HEIC` Images to Something More Useful!

i-Device images often come in `.heic` image file format, but these don't translate well to other uses...

I had a bunch of downloaded `.heic` files but wanted to convert them to `.png` format so I wrote this converter!

## Notes

- no suitable package was found to convert `.heic` ➡️ `.jpg` on Windows.
- panoramic or stretched images may not convert properly.
- skips already-converted files to prevent redundancy

## Usage

> *currently working on a PYPI release...*

1. ***Install required packages***
   1. `pip install pillow_heif`
   2. `pip install pillow` (or use default `PIL` - legacy)
   3. see [requirements.txt](./requirements.txt)
2. ***Download the repo*** [**`.zip`**](https://github.com/XDwightsBeetsX/image-converter/archive/refs/heads/master.zip)
3. Obtain the ***path to the python `main.py` program***
4. Obtain the ***path to the `.heic` image folder***
5. Use desired [flags](#flags)

## Examples

- Set the destination folder with `--dest`

  <img src="docs/img/sample_run1.png" style="width:800px; height:auto;" alt="set custom destination folder" title="set custom destination folder">

- Automatically delete converted files with `-del`

  <img src="docs/img/sample_run2.png" style="width:800px; height:auto;" alt="set delete flag" title="set delete flag">

## Flags

- double-hyphen '`--`' flags take arguments
- single-hyphen '`-`' flags are booleans

| Flag      | Options            | Description |
|  :-:      | :--                | :--         |
| `--to`    | `png`              | sets the desired type to convert the `.heic` files to. |
| `--dest`  | `path/to/saveDest` | choose the save location for the converted files. |
| `-del`    | `none`             | delete the original `.heic` file after successful conversions. |

> *if you have comments / suggestions / bug fixes, please make a github issue [here](https://github.com/XDwightsBeetsX/heic-image-converter/issues)*
> 
> *thanks for checking this project out :)*
django-flexible-reports 0.2.10
A framework for report generation in Django
License: MIT
Keywords: django-flexible-reports

=============================
Django Flexible Reports
=============================

.. image:: https://badge.fury.io/py/django-flexible-reports.svg
    :target: https://badge.fury.io/py/django-flexible-reports

.. image:: https://github.com/mpasternak/django-flexible-reports/actions/workflows/tests.yml/badge.svg
        :target: https://github.com/mpasternak/django-flexible-reports/actions

.. image:: https://coveralls.io/repos/github/mpasternak/django-flexible-reports/badge.svg?branch=master
   :target: https://coveralls.io/github/mpasternak/django-flexible-reports?branch=master

A framework for report generation in Django

Documentation
-------------

The full documentation is at https://django-flexible-reports.readthedocs.io.

Quickstart
----------

Install Django Flexible Reports::

    pip install django-flexible-reports

Add it to your `INSTALLED_APPS`:

.. code-block:: python

    INSTALLED_APPS = (
        ...
        'flexible_reports.apps.FlexibleReportsConfig',
        ...
    )

Add Django Flexible Reports's URL patterns:

.. code-block:: python

    from flexible_reports import urls as flexible_reports_urls


    urlpatterns = [
        ...
        url(r'^', include(flexible_reports_urls)),
        ...
    ]

Features
--------

* TODO

Running Tests
-------------

Does the code actually work?

::

    source <YOURVIRTUALENV>/bin/activate
    (myenv) $ pip install tox
    (myenv) $ tox

Credits
-------

Tools used in rendering this package:

*  Cookiecutter_
*  `cookiecutter-djangopackage`_

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`cookiecutter-djangopackage`: https://github.com/pydanny/cookiecutter-djangopackage




History
-------

0.2.10 (2022-07-07)
+++++++++++++++++++

* Drop support for Django 2.2 and below,
* Drop support for Python 3.7,
* Python 3.10 support,
* Django 3.2 support,
* enable GitHub Actions,
* remove Travis-CI config. 

0.1.0 (2017-07-20)
++++++++++++++++++

* First release on PyPI.
django-dsl 0.1.12
DSL for Django ORM
License: MIT
Keywords: django-dsl

=============================
Django DSL
=============================

.. image:: https://badge.fury.io/py/django-dsl.svg
	   :target: https://badge.fury.io/py/django-dsl
		    
.. image:: https://github.com/yourlabs/django-session-security/actions/workflows/tests.yml/badge.svg
        :target: https://github.com/yourlabs/django-session-security/actions

.. image:: https://coveralls.io/repos/github/mpasternak/django-dsl/badge.svg?branch=master
   :target: https://coveralls.io/github/mpasternak/django-dsl?branch=master
	     
DSL for Django ORM

This is a simple query language for Django ORM. You can give it to your
customers so they will be able to filter the database without having
to edit code.

From one side, you feed it with a string, supplied by the user. And, it
gives you Q-objects, ready to be used in ``QuerySet.filter()`` call.

Please see ``tests/test_dsl.py`` file for example usage.


Running Tests
-------------

Does the code actually work?

::

    source <YOURVIRTUALENV>/bin/activate
    (myenv) $ pip install tox
    (myenv) $ tox




History
-------

0.1.12 (2022-07-07)
+++++++++++++++++++

* Support Python 3.10 and Django 3.2
* support GitHub Actions instead of Travis

0.1.0 (2017-07-21)
++++++++++++++++++

* First release on PyPI.
pyrplib 0.1.2
Ranking Python Library
License: MIT

# RPLIB

This repo contains the RPLib data, package, and web server.

## Browse data (recommended)
Visit the RPLIB browser at https://birg.dev/rplib/. 

## View RPLIB Card (recommended)
You may view individual cards using the [RPLIB browser](https://birg.dev/rplib/) or for a more customizable experience, use our sample Jupyter notebook that has been tested with Google's Colab: [Click to launch on Colab](https://colab.research.google.com/github/IGARDS/structured_artificial/blob/main/notebooks/RPLIB_Card.ipynb).

## Contribute a dataset (recommended)
We encourage the community to extend this repository with additional data. The recommended procedure for doing so begins with filling out this form: [Click to launch add dataset form](https://docs.google.com/forms/d/e/1FAIpQLSenO1WO_LlzNQ1ak4IPyOjBKkuixZU93umLgeI2kJbFxwzcZQ/viewform).

## Generate artificial data (recommended)
We have also developed a sample notebook for those researchers interested in generating their own artificial data in a compatable format for RPLIB. [Click to launch on Colab](https://colab.research.google.com/github/IGARDS/structured_artificial/blob/main/notebooks/structured_artificial.ipynb). 

## Installing pyrplib package
### Prerequisites
The graphviz headers must be installed. To do this on Debian/Ubuntu:
```bash
apt-get install -y libgraphviz-dev
```

### Recommended package installation
```bash
pip install pyrplib
```

### Documentation

For documentation on pyrplib: https://birg.dev/pyrplib.

### Post package installation: Gurobi License
The webserver does not require Gurobi to launch, but to use the full functionality of RPLIB, the Gurobi optimizer must be installed with a valid license. Gurobi provides free academic licenses and more information on obtaining and installing your license can be found here: https://support.gurobi.com/hc/en-us/articles/360040541251. 

### Verify installation
```python
import pyrplib
```

## Development notes
### Launch a version of RPLIB browser locally
### Production
```bash
cd RPLIB
USER=$(id -u) docker-compose up -d --build production
```

Visit http://localhost:7001/rplib to test your site.

### Staging
```bash
cd RPLIB
git checkout staging
USER=$(id -u) docker-compose up -d --build staging
```

Visit http://localhost:7002/rplib_staging to test your site.

### Development environments
```bash
cd RPLIB
git checkout <branch>
USER=$(id -u) docker-compose up --build dev
```

Visit http://localhost:7003/rplib_dev to test your site.

## Authors
Paul Anderson, Ph.D.<br>
Brandon Tat<br>
Charlie Ward<br>
Department of Computer Science and Software Engineering<br>
California Polytechnic State University<br>

Kathryn Pedings-Behling<br>
Amy Langville, Ph.D.<br>
Department of Mathematics<br>
College of Charleston<br>

## Acknowledgements
We would like to thank the entire IGARDS team for their invaluable insight and encouragement.
py-avataaars-no-png 1.0.1
SVG-Avatar generator library
License: MIT
Requires Python: >=3.7,<4.0
Keywords: Python,Avatar,Avataaars,SVG,Generator,Library,Graphic,Face,Vector

# py-avataaars - Python component for Avataaars

**FORK OF https://github.com/kebu/py-avataaars**


## Changes
- Switched from setup.py to Poetry
- Removed svg2png-dependency -> **No PNG-support**

## Original README

Python port of https://github.com/fangpenlin/avataaars

> The core React component for [Avataaars Generator](https://getavataaars.com/) developed by [Fang-Pen Lin](https://twitter.com/fangpenlin), based on the Sketch library [Avataaars](https://avataaars.com/) designed by [Pablo Stanley](https://twitter.com/pablostanley). 

### Features
* SVG based
* Light weight
* Easy to use

### Install
```shell script
pip install py-avataaars
```

### Usage

Basic usage:

```python
from py_avataaars import PyAvataaar

avatar = PyAvataaar()
avatar_svg = avatar.render_svg()
```

Specify each part of avatar:
```python
import py_avataaars as pa
avatar = pa.PyAvataaar(
    style=pa.AvatarStyle.CIRCLE,
    skin_color=pa.SkinColor.LIGHT,
    hair_color=pa.HairColor.BROWN,
    facial_hair_type=pa.FacialHairType.DEFAULT,
    facial_hair_color=pa.HairColor.BLACK,
    top_type=pa.TopType.SHORT_HAIR_SHORT_FLAT,
    hat_color=pa.Color.BLACK,
    mouth_type=pa.MouthType.SMILE,
    eye_type=pa.EyesType.DEFAULT,
    eyebrow_type=pa.EyebrowType.DEFAULT,
    nose_type=pa.NoseType.DEFAULT,
    accessories_type=pa.AccessoriesType.DEFAULT,
    clothe_type=pa.ClotheType.GRAPHIC_SHIRT,
    clothe_color=pa.Color.HEATHER,
    clothe_graphic_type=pa.ClotheGraphicType.BAT,
)
avatar_svg = avatar.render_svg()
```