Programme de chiffrement et de déchiffrement inverse d'un message en python3.

Overview

Chiffrement Inverse En Python3

Programme de chiffrement et de déchiffrement inverse d'un message en python3.

Explication du chiffrement inverse avec complexité O(n)

  1. La première fonction s’appelle chiffrement, elle prend en paramètre un message qui sera chiffré, la fonction commencera par prendre un Cipher qui est une chaine de caractère vide.

  2. Par la suite on utilisera un entier i qui prendra la taille du message, après on parcours lettre par lettre notre message et on donne à Cipher = Cipher + l’indice de la dernière case du message ensuite on lui rajoute l’avant dernière case et ainsi de suite jusqu’à avoir parcouru tout le message de la fin vers le début.

  3. Enfin on testera notre programme avec nos jeux d’essais, on appellera deux fois la fonctions chiffrement pour coder notre message, le premier appel à chiffrement sera donné à msg_chiffré ensuite le deuxième chiffrement sera donné à msg_déchiffré qui déchiffrera notre message chiffré a chaque jeu d’essai.

Execution

python3 Chiffrement_Inverse.py

Owner
Malik Makkes
Malik Makkes
ACL'2021: Learning Dense Representations of Phrases at Scale

DensePhrases DensePhrases is an extractive phrase search tool based on your natural language inputs. From 5 million Wikipedia articles, it can search

Princeton Natural Language Processing 540 Dec 30, 2022
Implementaion of our ACL 2022 paper Bridging the Data Gap between Training and Inference for Unsupervised Neural Machine Translation

Bridging the Data Gap between Training and Inference for Unsupervised Neural Machine Translation This is the implementaion of our paper: Bridging the

hezw.tkcw 20 Dec 12, 2022
Trained T5 and T5-large model for creating keywords from text

text to keywords Trained T5-base and T5-large model for creating keywords from text. Supported languages: ru Pretraining Large version | Pretraining B

Danil 61 Nov 24, 2022
An implementation of WaveNet with fast generation

pytorch-wavenet This is an implementation of the WaveNet architecture, as described in the original paper. Features Automatic creation of a dataset (t

Vincent Herrmann 858 Dec 27, 2022
End-to-End Speech Processing Toolkit

ESPnet: end-to-end speech processing toolkit system/pytorch ver. 1.0.1 1.1.0 1.2.0 1.3.1 1.4.0 1.5.1 1.6.0 1.7.1 1.8.1 ubuntu18/python3.8/pip ubuntu18

ESPnet 5.9k Jan 03, 2023
Mycroft Core, the Mycroft Artificial Intelligence platform.

Mycroft Mycroft is a hackable open source voice assistant. Table of Contents Getting Started Running Mycroft Using Mycroft Home Device and Account Man

Mycroft 6.1k Jan 09, 2023
PyTorch implementation of NATSpeech: A Non-Autoregressive Text-to-Speech Framework

A Non-Autoregressive Text-to-Speech (NAR-TTS) framework, including official PyTorch implementation of PortaSpeech (NeurIPS 2021) and DiffSpeech (AAAI 2022)

760 Jan 03, 2023
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
Just a basic Telegram AI chat bot written in Python using Pyrogram.

Nikko ChatBot Just a basic Telegram AI chat bot written in Python using Pyrogram. Requirements Python 3.7 or higher. A bot token. Installation $ https

ʀᴇxɪɴᴀᴢᴏʀ 2 Oct 21, 2022
Source code for the paper "TearingNet: Point Cloud Autoencoder to Learn Topology-Friendly Representations"

TearingNet: Point Cloud Autoencoder to Learn Topology-Friendly Representations Created by Jiahao Pang, Duanshun Li, and Dong Tian from InterDigital In

InterDigital 21 Dec 29, 2022
Google and Stanford University released a new pre-trained model called ELECTRA

Google and Stanford University released a new pre-trained model called ELECTRA, which has a much compact model size and relatively competitive performance compared to BERT and its variants. For furth

Yiming Cui 1.2k Dec 30, 2022
Code for the paper "Language Models are Unsupervised Multitask Learners"

Status: Archive (code is provided as-is, no updates expected) gpt-2 Code and models from the paper "Language Models are Unsupervised Multitask Learner

OpenAI 16.1k Jan 08, 2023
Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"

Status: Archive (code is provided as-is, no updates expected) Update August 2020: For an example repository that achieves state-of-the-art modeling pe

OpenAI 1.3k Dec 28, 2022
DeepPavlov Tutorials

DeepPavlov tutorials DeepPavlov: Sentence Classification with Word Embeddings DeepPavlov: Transfer Learning with BERT. Classification, Tagging, QA, Ze

Neural Networks and Deep Learning lab, MIPT 28 Sep 13, 2022
Include MelGAN, HifiGAN and Multiband-HifiGAN, maybe NHV in the future.

Fast (GAN Based Neural) Vocoder Chinese README Todo Submit demo Support NHV Discription Include MelGAN, HifiGAN and Multiband-HifiGAN, maybe include N

Zhengxi Liu (刘正曦) 134 Dec 16, 2022
Repo for Enhanced Seq2Seq Autoencoder via Contrastive Learning for Abstractive Text Summarization

ESACL: Enhanced Seq2Seq Autoencoder via Contrastive Learning for AbstractiveText Summarization This repo is for our paper "Enhanced Seq2Seq Autoencode

Rachel Zheng 14 Nov 01, 2022
Based on 125GB of data leaked from Twitch, you can see their monthly revenues from 2019-2021

Twitch Revenues Bu script'i kullanarak istediğiniz yayıncıların, Twitch'den sızdırılan 125 GB'lik veriye dayanarak, 2019-2021 arası aylık gelirlerini

4 Nov 11, 2021
Use PaddlePaddle to reproduce the paper:mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer

MT5_paddle Use PaddlePaddle to reproduce the paper:mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer English | 简体中文 mT5: A Massively

2 Oct 17, 2021
NeoDays-based tileset for the roguelike CDDA (Cataclysm Dark Days Ahead)

NeoDaysPlus Reduced contrast, expanded, and continuously developed version of the CDDA tileset NeoDays that's being completed with new sprites for mis

0 Nov 12, 2022
A natural language processing model for sequential sentence classification in medical abstracts.

NLP PubMed Medical Research Paper Abstract (Randomized Controlled Trial) A natural language processing model for sequential sentence classification in

Hemanth Chandran 1 Jan 17, 2022