Neon: an add-on for Lightbulb making it easier to handle component interactions

Overview

Neon

Neon is an add-on for Lightbulb making it easier to handle component interactions.

Installation

pip install git+https://github.com/neonjonn/lightbulb-neon.git

Documentation

ReadTheDocs

Usage

class Menu(neon.ComponentMenu):
    @neon.button("earth", "earth_button", hikari.ButtonStyle.SUCCESS, emoji="\N{DECIDUOUS TREE}")
    async def earth(self, button: neon.Button) -> None:
        await self.edit_msg(f"{button.emoji} - {button.custom_id}")

    @neon.option("Water", "water", emoji="\N{DROPLET}")
    @neon.option("Fire", "fire", emoji="\N{FIRE}")
    @neon.select_menu("sample_select_menu", "Pick fire or water!")
    async def select_menu_test(self, values: list) -> None:
        await self.edit_msg(f"You chose: {values[0]}!")

    @neon.button("Wind", "wind_button", hikari.ButtonStyle.PRIMARY, emoji="\N{WIND BLOWING FACE}\N{VARIATION SELECTOR-16}")
    @neon.button("Rock", "rock_button", hikari.ButtonStyle.SECONDARY, emoji="\N{MOYAI}")
    @neon.button_group()
    async def wind_rock(self, button: neon.Button) -> None:
        await self.edit_msg(f"You pressed: {button.custom_id}")

    @neon.on_timeout(disable_components=True)
    async def on_timeout(self) -> None:
        await self.edit_msg("\N{ALARM CLOCK} Timed out!")

@bot.command
@lightbulb.command("neon", "Check out Neon's component builder!")
@lightbulb.implements(lightbulb.SlashCommand, lightbulb.PrefixCommand)
async def neon_command(ctx: lightbulb.Context) -> None:
    menu = Menu(ctx, timeout=30)
    resp = await ctx.respond("Bar", components=menu.build())
    await menu.run(resp)

Contributing

If you wish to contribute to this project, please open an issue first to describe your issue or feature request.

As soon as you've done that you may make a pull request, and I'll review your changes.

Contributors

You might also like...
Official code for
Official code for "Focal Self-attention for Local-Global Interactions in Vision Transformers"

Focal Transformer This is the official implementation of our Focal Transformer -- "Focal Self-attention for Local-Global Interactions in Vision Transf

A graph neural network (GNN) model to predict protein-protein interactions (PPI) with no sample features

A graph neural network (GNN) model to predict protein-protein interactions (PPI) with no sample features

Predicting lncRNA–protein interactions based on graph autoencoders and collaborative training

Predicting lncRNA–protein interactions based on graph autoencoders and collaborative training Code for our paper "Predicting lncRNA–protein interactio

A simple API wrapper for Discord interactions.
A simple API wrapper for Discord interactions.

Your ultimate Discord interactions library for discord.py. About | Installation | Examples | Discord | PyPI About What is discord-py-interactions? dis

A sample pytorch Implementation of ACL 2021 research paper "Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction".

Span-ASTE-Pytorch This repository is a pytorch version that implements Ali's ACL 2021 research paper Learning Span-Level Interactions for Aspect Senti

Streamlit component for TensorBoard, TensorFlow's visualization toolkit
Streamlit component for TensorBoard, TensorFlow's visualization toolkit

streamlit-tensorboard This is a work-in-progress, providing a function to embed TensorBoard, TensorFlow's visualization toolkit, in Streamlit apps. In

DI-HPC is an acceleration operator component for general algorithm modules in reinforcement learning algorithms

DI-HPC: Decision Intelligence - High Performance Computation DI-HPC is an acceleration operator component for general algorithm modules in reinforceme

Vertical Federated Principal Component Analysis and Its Kernel Extension on Feature-wise Distributed Data based on Pytorch Framework
Vertical Federated Principal Component Analysis and Its Kernel Extension on Feature-wise Distributed Data based on Pytorch Framework

VFedPCA+VFedAKPCA This is the official source code for the Paper: Vertical Federated Principal Component Analysis and Its Kernel Extension on Feature-

Code to reproduce the results in the paper
Code to reproduce the results in the paper "Tensor Component Analysis for Interpreting the Latent Space of GANs".

Tensor Component Analysis for Interpreting the Latent Space of GANs [ paper | project page ] Code to reproduce the results in the paper "Tensor Compon

Owner
Neon Jonn
Neon Jonn
Blender add-on: Add to Cameras menu: View → Camera, View → Add Camera, Camera → View, Previous Camera, Next Camera

Blender add-on: Camera additions In 3D view, it adds these actions to the View|Cameras menu: View → Camera : set the current camera to the 3D view Vie

German Bauer 11 Feb 8, 2022
Finite difference solution of 2D Poisson equation. Can handle Dirichlet, Neumann and mixed boundary conditions.

Poisson-solver-2D Finite difference solution of 2D Poisson equation Current version can handle Dirichlet, Neumann, and mixed (combination of Dirichlet

Mohammad Asif Zaman 34 Dec 23, 2022
PassAPI is a password generator in hash format and fully developed in Python, with the aim of teaching how to handle and build

simple, elegant and safe Introduction PassAPI is a password generator in hash format and fully developed in Python, with the aim of teaching how to ha

Johnsz 2 Mar 2, 2022
UMT is a unified and flexible framework which can handle different input modality combinations, and output video moment retrieval and/or highlight detection results.

Unified Multi-modal Transformers This repository maintains the official implementation of the paper UMT: Unified Multi-modal Transformers for Joint Vi

Applied Research Center (ARC), Tencent PCG 84 Jan 4, 2023
A fast poisson image editing implementation that can utilize multi-core CPU or GPU to handle a high-resolution image input.

Poisson Image Editing - A Parallel Implementation Jiayi Weng (jiayiwen), Zixu Chen (zixuc) Poisson Image Editing is a technique that can fuse two imag

Jiayi Weng 110 Dec 27, 2022
Learning Intents behind Interactions with Knowledge Graph for Recommendation, WWW2021

Learning Intents behind Interactions with Knowledge Graph for Recommendation This is our PyTorch implementation for the paper: Xiang Wang, Tinglin Hua

null 158 Dec 15, 2022
[CIKM 2019] Code and dataset for "Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction"

FiGNN for CTR prediction The code and data for our paper in CIKM2019: Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Predicti

Big Data and Multi-modal Computing Group, CRIPAC 75 Dec 30, 2022
git《Self-Attention Attribution: Interpreting Information Interactions Inside Transformer》(AAAI 2021) GitHub:

Self-Attention Attribution This repository contains the implementation for AAAI-2021 paper Self-Attention Attribution: Interpreting Information Intera

null 60 Dec 29, 2022
SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks (Scientific Reports)

SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks Molecular interaction networks are powerful resources for the discovery. While dee

Kexin Huang 49 Oct 15, 2022
Semi-Supervised 3D Hand-Object Poses Estimation with Interactions in Time

Semi Hand-Object Semi-Supervised 3D Hand-Object Poses Estimation with Interactions in Time (CVPR 2021).

null 96 Dec 27, 2022