semvec/pypi-packages huggingface dataset:
aul-compiler 1.0.0
The official compiler of a language designed to annoy you
Requires Python: >=3.6

<img src="assets/aul_logo.jpg" style="width: 70vw;" alt="The AUL Project logo">

# Introduction
Annoyingly Uncodeable Language (AUL), officially The Annoyingly Uncodeable Language Project, is an [esoteric programming language](https://en.wikipedia.org/wiki/Esoteric_programming_language) developed by [Andrew Chen](https://github.com/actiniumn404) that aims to be so hard to code that it is annoying. The AUL compiler is freely available [on GitHub](https://github.com/actiniumn404/Annoyingly-Uncodeable-Language) where it is licensed under the [GNU General Public License v3.0](https://github.com/actiniumn404/Annoyingly-Uncodeable-Language/blob/main/LICENSE). Our tutorial assumes that you have a decent experience in computer science, specifically in the Python language, so if you don't, try and learn a programming language like Python first. Without further ado, let's dive into the tutorial!

# Installing AUL
hydes 0.0.5
Hydrodinamical equation solver
Requires Python: >=3.6

# HyDES

## Concept

HydroDinamical Equation Solver Code to numerically solve the hydrodynamical equations in 2 dimensions in a regular rectangular mesh.
The code performs a first order staggered Lax-Friedrich scheme in time and a central first order derivative in space.
There are several initial conditions to test and a some boundary conditions, like 0 derivative in the boundaries or periodic ones.
The code is impleted originaly in IDL in may 2019 and it was transcripted to python in december 2021.

## Installation

To install the library just pip install it with:

    pip install hydes

## Getting started

To start simulating your models just load the library, load the parameters (template loaded with load_sample_params())
compute the desired initial conditions with a perturbation and simulate the evolution of the sistem like:


    import hydes as hd

    params = hd.load_sample_params()
    pert, pert_vx, pert_vy = hd.sample_perturbation()

    hd.run_sim(params, pert, pert_vx, pert_vy)


if you also want to have a movie of the saved plots you can do:


    import hydes as hd
    from animation import animation

    params = hd.load_sample_params()
    pert, pert_vx, pert_vy = hd.sample_perturbation()

    reults_path = hd.run_sim(params, pert, pert_vx, pert_vy)
    frames = os.path.join(os.path.join(reults_path, 'plots'), '*')
    animation(frames=frames, path_out=reults_path)
dispanderfixed 0.3.1
Discord Message URL Expander-fixed

[![PyPI - Downloads](https://img.shields.io/pypi/dm/dispanderfixed)](https://pypi.org/project/dispanderfixed)
[![PyPI](https://img.shields.io/pypi/v/discord.py?label=discord.py%20%3E%3D)](https://pypi.org/project/discord.py/)
[![PyPI](https://img.shields.io/pypi/v/dpy-components?label=dpy-components%20%3E%3D)](https://pypi.org/project/dpy-components)
![PyPI - Python Version](https://img.shields.io/pypi/pyversions/dispanderfixed)
# Dispanderfixed
このライブラリは、DiscordBotPortalJP様のdispanderライブラリを<br>
ライセンスに基づきクロヱ水族館サーバー用Bot向けに改変したものです。<br>
[フォーク元ライブラリ様](https://github.com/DiscordBotPortalJP/dispander)

## インストール

`pip install dispanderfixed`

## 依存関係
discord.py >= 1.6.0<br>
dpy-components >= 0.4.2<br>
<br>
が必要です。<br>

## 機能は？

関数としての使用を想定しています。<br>
on_message内のどこかで実行してください。<br>
**元ライブラリ様にあった展開元メッセージ削除機能は無効化されています。**<br>

```python
import discord
from dispanderfixed import dispand

client = discord.Client()

@client.event
async def on_message(message):
    if message.author.bot:
        return
    await dispand(message)

client.run(token)
```