semvec/pypi-packages huggingface dataset:
discombed 0.0.1
A bad discord webhooks wrapper
Requires Python: >=3.6

# Discombed
Discombed is a very bad wrapper for discord embeds
It is made in python and can support python 3.6 and above (hopefully)

# Quickstart

```python
import discombed

webhook = discombed.Hook(
    url = "https://discord.com/api/webhooks/id/token",
    content = "Hello, World!"
)

webhook.send()
```

# Functions and Classes

## ```discombed.Hook(url, content=None, username=None, avatar_url=None, tts=False)```
```
URL : str for discord webhook
Username : str defaults to the one specified in webhook creation
avatar_url : str defaults to the one specified in webhook creation
tts : bool defaults to false.
```

## ```.add_embed(Embed)```
Takes an embed object to add to the webhook (Max 10)

## ```.send(silent=True)```
Sends the webhook to discord

if silent is false it will return status code

## ```dicombed.Embed(title=None, colour=None, url=None, description=None, timestamp=None)```

```
title = title for embed
colour = decimal value of colour (use dischook.hex_to_decimal for converting hex to decimal)
description = description for embed
url = redirection url
timestamp = timestamp, must be in datetime.datetime format
```

## ```set.author(name, icon_url, url)```
Sets author for embed

name = author name

icon_url = icon url

url =  redirect url

## ```set_image(url)```
sets embed image

url = url for image

## ```set_thumbnail(url)```
sets embed thumbnail

url = url for thumbnail

## ```set_footer(text, icon_url)```
sets embed footer

text = text for footer

icon_url = icon for footer

## ```add_field(name, value, inline=False)```
adds field for webhook, supports markdown

name = name of field

value = value of field

inline=False, set to true if you want inline

## ```dicombed.hex_to_decimal(hex)```
param = hex

returns decimal value of hex (useful for embed colours)
cus-predict 0.0.1
Tested 90%% accurate test match score prediction through your cricket knowledge
Keywords: python,prediction,without machine learning,cricket,player score prediction

Hello I am Aditya, I have made this library like this, such that it will predict the supplied player score in test cricket, it work on the principle of player batting position and the percentage of chances of his fifty or hundred you have supplied to it, it is incomplete till now but you can test it and if you like the concept than try to contribute in this project through github.
pycric 0.0.1
Tested 90%% accurate test match score prediction through your cricket knowledge
Keywords: python,prediction,without machine learning,cricket,player score prediction

Hello I am Aditya, I have made this library like this, such that it will predict the supplied player score in test cricket, it work on the principle of player batting position and the percentage of chances of his fifty or hundred you have supplied to it, it is incomplete till now but you can test it and if you like the concept than try to contribute in this project through github.
py-cric 0.0.1
Tested 90%% accurate test match score prediction through your cricket knowledge
Keywords: python,prediction,without machine learning,cricket,player score prediction

Hello I am Aditya, I have made this library like this, such that it will predict the supplied player score in test cricket, it work on the principle of player batting position and the percentage of chances of his fifty or hundred you have supplied to it, it is incomplete till now but you can test it and if you like the concept than try to contribute in this project through github.
marc2aleph 0.0.2
Conversion from MARC(2709) to Aleph sequential and vice-versa
Requires Python: >=3.6

Introduction
============
This module is intended to provide users with a simple way to convert
MARC(2709) to Aleph sequential and vice-versa.


Installation
------------

From PyPI:

    pip install marc2aleph

From GitHub:

    git clone https://github.com/turricula/marc2aleph
    cd marc2aleph
    python setup.py install
swat-em 0.6.3
Specific Winding Analysing Tool for Electrical Machines

![Black Logo](https://gitlab.com/martinbaun/swat-em/-/raw/master/doc/source/fig/logo.png)

[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) [![Actions Status](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)



SWAT-EM
=======

Specific Winding Analyse Tool for Electrical Machines


Installation
------------

To install, you can do:

```
pip install swat-em
```

or download it from [https://gitlab.com/martinbaun/swat-em/](https://gitlab.com/martinbaun/swat-em/) and
install it from the project root directory:

```
python setup.py install
```

If you running windows and don't want to deal with a python interpreter
you can download an *.exe installer or a  portable *.zip version which 
includes all python dependencies from [https://sourceforge.net/projects/swat-em/](https://sourceforge.net/projects/swat-em/)

Run the programm
----------------

Run the programm by starting it from the command line

```
swat-em
```

or with:

    swat-em.exe
    
under windows. If you have installed swat-em with the windows installer
you can use the desktop icon to start.


Documentation
-------------
Find the docs on [https://swat-em.readthedocs.io/en/latest/index.html#](https://swat-em.readthedocs.io/en/latest/index.html#)