A programming language with logic of Python, and syntax of all languages.

Overview

Pytov

The idea was to take all well known syntaxes, and combine them into one programming language with many posabilities.

Installation

Install using pip install pytov, or via git: git clone https://github.com/Yuvix25/Pytov.git.

Usage

If was installed via pip:

$ pytov [path_to_your_pytov_file]

If was installed via git:

Run using Python:

$ cd [folder_of_installation]
$ cd pytov
$ python pytov.py [path_to_your_pytov_file]

Run using pre-built executables:

$ cd [folder_of_installation]
$ cd exe
$ pytov [path_to_your_pytov_file]

Syntax

Comments:

# this is a comment
// this is also a comment
/*
and this is a
multi
line
comment
*/

Variables:

x = 5 // let or var or type is not required
print(x)

If:

if 5 > 1{
    print("5 is greater than 1")
}
elif 1 > 5{ # else if 1 > 5 will work too!
    print("1 is greater than 5")
}
else {
    print("1 is equal to 5")
}

Loops:

For:

for i in range(10){
    print(i)
}
a = [1, 4, 7, 8]
for x in a{
    print(x)
    if x == 4{
        break // loop will stop when x == 4
    }
}

for (i = 5; i<10; i++){
    print(i)
}
// output: 5, 6, 7, 8, 9

While:

// loop the the block as long as x < 5
x = 0
while x < 5{
    print(x)
    x += 2
    // (break will work just the same here)
}

Switch:

// for more info about switch take a look at switch in js, it is exactly the same...
a = "hi"
switch a{
    case "hello":
        print("a=='hello'")
        break
    case "hi":
    case "hihi"
        print("a=='hi' or a=='hihi'")
        break
    default:
        print("a!='hi' and a!='hihi' and a!='hello'")
}

Functions:

(func or function or def) func_name(required_params, not_required_params){
    your_code_here
    // and if you want you can return like this: return value
}
function print_hi(times){ // required parameter
    for i in range(times){
        print("hi")
    }
}

def print_hi_default(times=3){ // not required parameter with default value of 3
    for i in range(times){
        print("hi")
    }
}

func mult(x, y){
    return x*y
}

print_hi(5) // output: hihihihihi
print_hi_default() // output: hihihi
print(mult(5, 2)) // output: 10

Imports:

test2.pv:

if __name__ == "main"{ // will be true when file will be runned directly
    x = 5
}
else if __name__ == "imported" { // will be true when file is imported
    x = 7
}

test1.pv:

x = 6
import test2 // you can also import like this: import "test2.pv"
print(x) // output will be 7

See Examples

Owner
Yuval Rosen
Yuval Rosen
CVSS: A Massively Multilingual Speech-to-Speech Translation Corpus

CVSS: A Massively Multilingual Speech-to-Speech Translation Corpus CVSS is a massively multilingual-to-English speech-to-speech translation corpus, co

Google Research Datasets 118 Jan 06, 2023
SciBERT is a BERT model trained on scientific text.

SciBERT is a BERT model trained on scientific text.

AI2 1.2k Dec 24, 2022
Implementation of TTS with combination of Tacotron2 and HiFi-GAN

Tacotron2-HiFiGAN-master Implementation of TTS with combination of Tacotron2 and HiFi-GAN for Mandarin TTS. Inference In order to inference, we need t

SunLu Z 7 Nov 11, 2022
Rootski - Full codebase for rootski.io (without the data)

📣 Welcome to the Rootski codebase! This is the codebase for the application run

Eric 20 Nov 18, 2022
Full Spectrum Bioinformatics - a free online text designed to introduce key topics in Bioinformatics using the Python

Full Spectrum Bioinformatics is a free online text designed to introduce key topics in Bioinformatics using the Python programming language. The text is written in interactive Jupyter Notebooks, whic

Jesse Zaneveld 33 Dec 28, 2022
FedNLP: A Benchmarking Framework for Federated Learning in Natural Language Processing

FedNLP is a research-oriented benchmarking framework for advancing federated learning (FL) in natural language processing (NLP). It uses FedML repository as the git submodule. In other words, FedNLP

FedML-AI 216 Nov 27, 2022
Turn clang-tidy warnings and fixes to comments in your pull request

clang-tidy pull request comments A GitHub Action to post clang-tidy warnings and suggestions as review comments on your pull request. What platisd/cla

Dimitris Platis 30 Dec 13, 2022
KoBART model on huggingface transformers

KoBART-Transformers SKT에서 공개한 KoBART를 편리하게 사용할 수 있게 transformers로 포팅하였습니다. Install (Optional) BartModel과 PreTrainedTokenizerFast를 이용하면 설치하실 필요 없습니다. p

Hyunwoong Ko 58 Dec 07, 2022
LightSpeech: Lightweight and Fast Text to Speech with Neural Architecture Search

LightSpeech UnOfficial PyTorch implementation of LightSpeech: Lightweight and Fast Text to Speech with Neural Architecture Search.

Rishikesh (ऋषिकेश) 54 Dec 03, 2022
code for "AttentiveNAS Improving Neural Architecture Search via Attentive Sampling"

AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling This repository contains PyTorch evaluation code, training code and pretrain

Facebook Research 94 Oct 26, 2022
Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding

Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding

Bethge Lab 61 Dec 21, 2022
A workshop with several modules to help learn Feast, an open-source feature store

Workshop: Learning Feast This workshop aims to teach users about Feast, an open-source feature store. We explain concepts & best practices by example,

Feast 52 Jan 05, 2023
Translation for Trilium Notes. Trilium Notes 中文版.

Trilium Translation 中文说明 This repo provides a translation for the awesome Trilium Notes. Currently, I have translated Trilium Notes into Chinese. Test

743 Jan 08, 2023
Graphical user interface for Argos Translate

Argos Translate GUI Website | GitHub | PyPI Graphical user interface for Argos Translate. Install pip3 install argostranslategui

Argos Open Tech 16 Dec 07, 2022
nlp基础任务

NLP算法 说明 此算法仓库包括文本分类、序列标注、关系抽取、文本匹配、文本相似度匹配这五个主流NLP任务,涉及到22个相关的模型算法。 框架结构 文件结构 all_models ├── Base_line │   ├── __init__.py │   ├── base_data_process.

zuxinqi 23 Sep 22, 2022
Textpipe: clean and extract metadata from text

textpipe: clean and extract metadata from text textpipe is a Python package for converting raw text in to clean, readable text and extracting metadata

Textpipe 298 Nov 21, 2022
LightSeq: A High-Performance Inference Library for Sequence Processing and Generation

LightSeq is a high performance inference library for sequence processing and generation implemented in CUDA. It enables highly efficient computation of modern NLP models such as BERT, GPT2, Transform

Bytedance Inc. 2.5k Jan 03, 2023
Text Classification Using LSTM

Text classification is the task of assigning a set of predefined categories to free text. Text classifiers can be used to organize, structure, and categorize pretty much anything. For example, new ar

KrishArul26 3 Jan 03, 2023
Code for papers "Generation-Augmented Retrieval for Open-Domain Question Answering" and "Reader-Guided Passage Reranking for Open-Domain Question Answering", ACL 2021

This repo provides the code of the following papers: (GAR) "Generation-Augmented Retrieval for Open-domain Question Answering", ACL 2021 (RIDER) "Read

morning 49 Dec 26, 2022