The swas programming language

Overview

The Swas programming language

This is a language that was made for fun.

Installation

Step 0: Make sure you have python installed
Step 1. Clone this repo or download it as a zip
Step 2. Run pip install -r requirements.txt

This is all that you need to do to start writing in swas lang.

Running

python -m swas [filename]

The filename is optional, if no filename is provided it will run the shell.

Getting Started

Hello World

output "Hello, World!"

Variables

Variables are containers for storing data.

Creating Variables

Swas has no command for declaring a variable.

A variable is created the moment you first assign a value to it.

x => 5
y => "Mark"

Using Variables

To use the variables, simply reference them

output x
output y

Case Sensitive

Note: Variables names are case sensitive i.e. a => 5 is not the same as A => 5

Operators

Operators are used to perform operations on variables and values.

Arithmetic Operators

Operator Name Example
+ Addition x + y
- Subtraction x - y
* Multiplication x * y
/ Division x / y
% Modulus x % y
inc Increment inc x
dec Decrement dec x

Logical Operators

Operator Name Example
== Equals x == y
!= Not Equals x != y
> Greater than x > y
>= Greater than or equal to x >= y
< Lesser than x < y
<= Lesser than or equal to x <= y

Join Operator ( & )

The Join Operator ( & ) lets you join 2 statements into 1.

Example

output "Hi" & output "Bye"

The Assignment Operator ( => )

The Assignment Operator ( => ) is used to assign a variable to a value.

If Else

An "if else statement" is written by using the if and else keywords.

Syntax

if condition => {
  statement 
}
else => {
  statement 
}

Note: The indentation isn't needed, it has been used here for readability

Example

name => input "Enter your name: " &
if name == "John" => {
  output "hi," + name 
}
else => {
  output "bye," + name 
}

While Do

With the while loop you can execute a set of statements as long as a condition is true.

Syntax

while condition 
do {
  statement
}

Note: The indentation isn't needed, it has been used here for readability

Example

start => 1 &
end => 10 &

while start != end
do {
  output start & inc start 
}
Owner
Swas.py
Swas.py
An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.

Welcome to AdaptNLP A high level framework and library for running, training, and deploying state-of-the-art Natural Language Processing (NLP) models

Novetta 407 Jan 03, 2023
Speech Recognition Database Management with python

Speech Recognition Database Management The main aim of this project is to recogn

Abhishek Kumar Jha 2 Feb 02, 2022
An A-SOUL Text Generator Based on CPM-Distill.

ASOUL-Generator-Backend 本项目为 https://asoul.infedg.xyz/ 的后端。 模型为基于 CPM-Distill 的 transformers 转化版本 CPM-Generate-distill 训练而成。

infinityedge 46 Dec 11, 2022
apple's universal binaries BUT MUCH WORSE (PRACTICAL SHITPOST) (NOT PRODUCTION READY)

hyperuniversality investment opportunity: what if we could run multiple architectures in a single file, again apple universal binaries, but worse how

luna 2 Oct 19, 2021
BERT score for text generation

BERTScore Automatic Evaluation Metric described in the paper BERTScore: Evaluating Text Generation with BERT (ICLR 2020). News: Features to appear in

Tianyi 1k Jan 08, 2023
COVID-19 Related NLP Papers

COVID-19 outbreak has become a global pandemic. NLP researchers are fighting the epidemic in their own way.

xcfeng 28 Oct 30, 2022
Simple Text-Generator with OpenAI gpt-2 Pytorch Implementation

GPT2-Pytorch with Text-Generator Better Language Models and Their Implications Our model, called GPT-2 (a successor to GPT), was trained simply to pre

Tae-Hwan Jung 775 Jan 08, 2023
BERTopic is a topic modeling technique that leverages 🤗 transformers and c-TF-IDF to create dense clusters allowing for easily interpretable topics whilst keeping important words in the topic descriptions

BERTopic BERTopic is a topic modeling technique that leverages 🤗 transformers and c-TF-IDF to create dense clusters allowing for easily interpretable

Maarten Grootendorst 3.6k Jan 07, 2023
Code for the paper TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks

TestRank in Pytorch Code for the paper TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks by Yu Li, Min Li, Qiuxia Lai, Ya

3 May 19, 2022
문장단위로 분절된 나무위키 데이터셋. Releases에서 다운로드 받거나, tfds-korean을 통해 다운로드 받으세요.

Namuwiki corpus 문장단위로 미리 분절된 나무위키 코퍼스. 목적이 LM등에서 사용하기 위한 데이터셋이라, 링크/이미지/테이블 등등이 잘려있습니다. 문장 단위 분절은 kss를 활용하였습니다. 라이선스는 나무위키에 명시된 바와 같이 CC BY-NC-SA 2.0

Jeong Ukjae 16 Apr 02, 2022
Submit issues and feature requests for our API here.

AIx GPT API Submit issues and feature requests for our API here. See https://apps.aixsolutionsgroup.com for more info. Python Quick Start pip install

AIx Solutions 7 Mar 27, 2022
Automatic privilege escalation for misconfigured capabilities, sudo and suid binaries

GTFONow Automatic privilege escalation for misconfigured capabilities, sudo and suid binaries. Features Automatically escalate privileges using miscon

101 Jan 03, 2023
This repository contains the code for running the character-level Sandwich Transformers from our ACL 2020 paper on Improving Transformer Models by Reordering their Sublayers.

Improving Transformer Models by Reordering their Sublayers This repository contains the code for running the character-level Sandwich Transformers fro

Ofir Press 53 Sep 26, 2022
Code Generation using a large neural network called GPT-J

CodeGenX is a Code Generation system powered by Artificial Intelligence! It is delivered to you in the form of a Visual Studio Code Extension and is Free and Open-source!

DeepGenX 389 Dec 31, 2022
iSTFTNet : Fast and Lightweight Mel-spectrogram Vocoder Incorporating Inverse Short-time Fourier Transform

iSTFTNet : Fast and Lightweight Mel-spectrogram Vocoder Incorporating Inverse Short-time Fourier Transform This repo try to implement iSTFTNet : Fast

Rishikesh (ऋषिकेश) 126 Jan 02, 2023
Extract Keywords from sentence or Replace keywords in sentences.

FlashText This module can be used to replace keywords in sentences or extract keywords from sentences. It is based on the FlashText algorithm. Install

Vikash Singh 5.3k Jan 01, 2023
OpenChat: Opensource chatting framework for generative models

OpenChat is opensource chatting framework for generative models.

Hyunwoong Ko 427 Jan 06, 2023
Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.

English|简体中文 ERNIE是百度开创性提出的基于知识增强的持续学习语义理解框架,该框架将大数据预训练与多源丰富知识相结合,通过持续学习技术,不断吸收海量文本数据中词汇、结构、语义等方面的知识,实现模型效果不断进化。ERNIE在累积 40 余个典型 NLP 任务取得 SOTA 效果,并在 G

5.4k Jan 03, 2023
The source code of HeCo

HeCo This repo is for source code of KDD 2021 paper "Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning". Paper Link: htt

Nian Liu 106 Dec 27, 2022