One-line your code easily but still with the fun of doing so!

Overview

One-liner-iser

One-line your code easily but still with the fun of doing so!

Have YOU ever wanted to write one-line Python code, but don't have the sanity to do it? Do YOU want to write one-line code YOURSELF and not be a script kiddie or do ctrl-c ctrl-v?

Well not to worry, because I am here to remove your braincells for you! Introducing... 🥁

The One-Liner-iser heh say that ten times real quick

How to use

Installation

You can install this as a package by running

pip install git+https://github.com/Jus-Codin/One-liner-iser

Usage

from OneLineriser import OneLinerise
OneLinerise(globals()).print("test").literal(10).returned.bit_length().RET_OBJ.save_last_as("bruh").print_last.print(bruh)

# Output
>>> test
>>> 4
>>> 4

Why should you use this

Well... you really shouldn't. Truth be told I just randomly came up with this idea and made it, and it really isn't the best implementation. There definitely is a better way to do this, but I currently probably don't have the skills to do it

More reasons not to use

  • No type hinting yet
  • Inefficient code
  • Not fully implemented
  • Bruh it's unreadable man don't even try putting this in your projects

Sidenote

I will try to come back to this, in fact I have a few ideas in mind:

  • Implement If-loops, For-loops, While-loops and such
  • Better documentation
  • Improved implementation
  • Customisable settings? Maybe?
  • And maybe even more

If you do have suggestions or want to contribute, do feel free to open an issue or pull request. As this repo is informal, I'm not putting guidelines and stuff for this project, all just default barebones settings (but I can still ban you)

Owner
Well yes, but no, but yes, but no, but why are you even reading this, nothing to see here. Shoo
Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.

Vector AI is a framework designed to make the process of building production grade vector based applications as quickly and easily as possible. Create

Vector AI 267 Dec 23, 2022
Pytorch Implementation for Dilated Continuous Random Field

DilatedCRF Pytorch implementation for fully-learnable DilatedCRF. If you find my work helpful, please consider our paper: @article{Mo2022dilatedcrf,

DunnoCoding_Plus 3 Nov 13, 2022
A Simple Key-Value Data-store written in Python

mercury-db This is a File Based Key-Value Datastore that supports basic CRUD (Create, Read, Update, Delete) operations developed using Python. The dat

Vaidhyanathan S M 1 Jan 09, 2022
Learning to Identify Top Elo Ratings with A Dueling Bandits Approach

Learning to Identify Top Elo Ratings We propose two algorithms MaxIn-Elo and MaxIn-mElo to solve the top players identification on the transitive and

2 Jan 14, 2022
Tiny-NewsRec: Efficient and Effective PLM-based News Recommendation

Tiny-NewsRec The source codes for our paper "Tiny-NewsRec: Efficient and Effective PLM-based News Recommendation". Requirements PyTorch == 1.6.0 Tensor

Yang Yu 3 Dec 07, 2022
Tensorflow Implementation for "Pre-trained Deep Convolution Neural Network Model With Attention for Speech Emotion Recognition"

Tensorflow Implementation for "Pre-trained Deep Convolution Neural Network Model With Attention for Speech Emotion Recognition" Pre-trained Deep Convo

Ankush Malaker 5 Nov 11, 2022
A simple library that implements CLIP guided loss in PyTorch.

pytorch_clip_guided_loss: Pytorch implementation of the CLIP guided loss for Text-To-Image, Image-To-Image, or Image-To-Text generation. A simple libr

Sergei Belousov 74 Dec 26, 2022
Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsing

Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsing Paper Introduction Multi-task indoor scene understanding is widely considered a

62 Dec 05, 2022
Predictive Modeling on Electronic Health Records(EHR) using Pytorch

Predictive Modeling on Electronic Health Records(EHR) using Pytorch Overview Although there are plenty of repos on vision and NLP models, there are ve

81 Jan 01, 2023
Reinforcement learning library in JAX.

Reinforcement learning library in JAX.

Yicheng Luo 96 Oct 30, 2022
🏖 Keras Implementation of Painting outside the box

Keras implementation of Image OutPainting This is an implementation of Painting Outside the Box: Image Outpainting paper from Standford University. So

Bendang 1.1k Dec 10, 2022
An implementation for Neural Architecture Search with Random Labels (CVPR 2021 poster) on Pytorch.

Neural Architecture Search with Random Labels(RLNAS) Introduction This project provides an implementation for Neural Architecture Search with Random L

18 Nov 08, 2022
"Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022

Graph Neural Controlled Differential Equations for Traffic Forecasting Setup Python environment for STG-NCDE Install python environment $ conda env cr

Jeongwhan Choi 55 Dec 28, 2022
Semantic Edge Detection with Diverse Deep Supervision

Semantic Edge Detection with Diverse Deep Supervision This repository contains the code for our IJCV paper: "Semantic Edge Detection with Diverse Deep

Yun Liu 12 Dec 31, 2022
The source code of the paper "Understanding Graph Neural Networks from Graph Signal Denoising Perspectives"

GSDN-F and GSDN-EF This repository provides a reference implementation of GSDN-F and GSDN-EF as described in the paper "Understanding Graph Neural Net

Guoji Fu 18 Nov 14, 2022
FANet - Real-time Semantic Segmentation with Fast Attention

FANet Real-time Semantic Segmentation with Fast Attention Ping Hu, Federico Perazzi, Fabian Caba Heilbron, Oliver Wang, Zhe Lin, Kate Saenko , Stan Sc

Ping Hu 42 Nov 30, 2022
RLMeta is a light-weight flexible framework for Distributed Reinforcement Learning Research.

RLMeta rlmeta - a flexible lightweight research framework for Distributed Reinforcement Learning based on PyTorch and moolib Installation To build fro

Meta Research 281 Dec 22, 2022
Learning Confidence for Out-of-Distribution Detection in Neural Networks

Learning Confidence Estimates for Neural Networks This repository contains the code for the paper Learning Confidence for Out-of-Distribution Detectio

235 Jan 05, 2023
Official implementation of the paper ``Unifying Nonlocal Blocks for Neural Networks'' (ICCV'21)

Spectral Nonlocal Block Overview Official implementation of the paper: Unifying Nonlocal Blocks for Neural Networks (ICCV'21) Spectral View of Nonloca

91 Dec 14, 2022
This is the repository of shape matching algorithm Iterative Rotations and Assignments (IRA)

Description This is the repository of shape matching algorithm Iterative Rotations and Assignments (IRA), described in the publication [1]. Directory

MAMMASMIAS Consortium 6 Nov 14, 2022