Dual languaged (rus+eng) tool for packing and unpacking archives of Silky Engine.

Overview

SilkyArcTool

English

Dual languaged (rus+eng) GUI tool for packing and unpacking archives of Silky Engine. It is not the same arc as used in Ai6WIN. If you want to work with Silky Engine's .mes scripts, use mesScriptAsseAndDisassembler instead.

Why this tool was created, if there are other tools that can work with this type of archive? The answer is simple: because there was no actually good enough tools. One tool can only extract the data, other -- only pack, but without using original compression, that resulting in outrageous big output archives. My tool solves all the issues -- not only it can extract archives, but also pack them from files, compressing it by algorithm (variation of LZSS), extraction of which was implemented by Silky Engine. Through the tool has one problem -- it works quite slow, especially for packing, so you may need to wait for some minutes (due to implementation compression algorithm on Python).

Русский

Двуязычное средство (рус+англ) для распаковки и запаковки архивов Silky Engine. Не стоит путать его с разновидностью .arc, используемой в Ai6WIN. Ежели вам нужно работать со скриптами .mes Silky Engine, используйте mesScriptAsseAndDisassembler.

Почему же это средство было создано, ежель и так есть средства, что могут работать с сим типом архива? Ответ прост: ни одно из тех существующих средств не является достаточно хорошим. Одно может только извлекать, другое -- только запаковывать, однако ж без использования оригинального алгоритма сжатия, из-за чего архивы получаются большими сверх всякой меры. Но моё средство исправляет эти проблемы: оно может как распаковывать данные, так и запаковывать их, причём сжимая файлы так, как их хочет видеть Silky Engine (разновидностью LZSS). Единственная, однако, проблема у средства есть -- несколько медленно работает оно, особенно при запаковке, так что может придётся прождать несколько минут (ввиду реализации алгоритма сжатия на Python).

Usage

English

image

  1. Run the tool (main.py or .exe).
  2. Print filename (with extension!!!) or choose it by clicking on button "...".
  3. Print directory or choose it by clicking on button "...".
  4. Print "0", if thou want to unpack, or "1", if thou want to pack.
  5. Just wait until it done.

Русский

image

  1. Запустите пакет средств (main.py иль .exe).
  2. Введите имя архива (с расширением!!!) или выберите его, нажав на кнопку "...".
  3. Введите имя директории файлов или выберите его, нажав на кнопку "...".
  4. Введите "0", коли распаковать желаете, али "1", коли запаковать желаете.
  5. Ждите завершения.

Tested on:

On English

На русском

You might also like...
Creating a chess engine using GPT-3
Creating a chess engine using GPT-3

GPT3Chess Creating a chess engine using GPT-3 Code for my article : https://towardsdatascience.com/gpt-3-play-chess-d123a96096a9 My game (white) vs GP

A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN
A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN

artificial intelligence cosmic love and attention fire in the sky a pyramid made of ice a lonely house in the woods marriage in the mountains lantern

A tool helps build a talk preview image by combining the given background image and talk event description

talk-preview-img-builder A tool helps build a talk preview image by combining the given background image and talk event description Installation and U

Phomber is infomation grathering tool that reverse search phone numbers and get their details, written in python3.
Phomber is infomation grathering tool that reverse search phone numbers and get their details, written in python3.

A Infomation Grathering tool that reverse search phone numbers and get their details ! What is phomber? Phomber is one of the best tools available fo

Tool which allow you to detect and translate text.
Tool which allow you to detect and translate text.

Text detection and recognition This repository contains tool which allow to detect region with text and translate it one by one. Description Two pretr

A unified tokenization tool for Images, Chinese and English.

ICE Tokenizer Token id [0, 20000) are image tokens. Token id [20000, 20100) are common tokens, mainly punctuations. E.g., icetk[20000] == 'unk', ice

Comments
  • Invalid argument

    Invalid argument

    I tried your tool with the .arc files of the game "[Silky's] Gakuen Saimin Reido -Sakki made, Daikirai Datta Hazu na no ni-" (学園催眠隷奴~さっきまで、大嫌いだったはずなのに~), but it keeps giving me this error:

    image

    opened by Nephiro 3
  • Extraction fails if archives are on other drive

    Extraction fails if archives are on other drive

    Exception in Tkinter callback
    Traceback (most recent call last):
      File "C:\Program Files\Python39\lib\tkinter\__init__.py", line 1892, in __call__
      File "C:\Users\Александр\Desktop\Tester\SilkyArcTool\gui.py", line 316, in _choose_file
      File "C:\Program Files\Python39\lib\ntpath.py", line 703, in relpath
    ValueError: path is on mount 'C:', start on mount 'Y:'
    Exception in Tkinter callback
    Traceback (most recent call last):
      File "C:\Program Files\Python39\lib\tkinter\__init__.py", line 1892, in __call__
      File "C:\Users\Александр\Desktop\Tester\SilkyArcTool\gui.py", line 316, in _choose_file
      File "C:\Program Files\Python39\lib\ntpath.py", line 703, in relpath
    ValueError: path is on mount 'C:', start on mount 'Y:'
    

    Simple fix is move archive to same drive as the tool

    opened by dobacco 2
Releases(1.1)
Owner
Tester
Tester Testerov Testerovich. "Test, test and test once more!"
Tester
Sequence-to-Sequence Framework in PyTorch

nmtpytorch allows training of various end-to-end neural architectures including but not limited to neural machine translation, image captioning and au

LIUM 395 Nov 21, 2022
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
Crie tokens de autenticação íntegros e seguros com UToken.

UToken - Tokens seguros. UToken (ou Unhandleable Token) é uma bilioteca criada para ser utilizada na geração de tokens seguros e íntegros, ou seja, nã

Jaedson Silva 0 Nov 29, 2022
Revisiting Pre-trained Models for Chinese Natural Language Processing (Findings of EMNLP 2020)

This repository contains the resources in our paper "Revisiting Pre-trained Models for Chinese Natural Language Processing", which will be published i

Yiming Cui 463 Dec 30, 2022
Sentence boundary disambiguation tool for Japanese texts (日本語文境界判定器)

Bunkai Bunkai is a sentence boundary (SB) disambiguation tool for Japanese texts. Quick Start $ pip install bunkai $ echo -e '宿を予約しました♪!まだ2ヶ月も先だけど。早すぎ

Megagon Labs 160 Dec 23, 2022
SummerTime - Text Summarization Toolkit for Non-experts

A library to help users choose appropriate summarization tools based on their specific tasks or needs. Includes models, evaluation metrics, and datasets.

Yale-LILY 213 Jan 04, 2023
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

⚠️ Checkout develop branch to see what is coming in pyannote.audio 2.0: a much smaller and cleaner codebase Python-first API (the good old pyannote-au

pyannote 2.2k Jan 09, 2023
Search-Engine - 📖 AI based search engine

Search Engine AI based search engine that was trained on 25000 samples, feel free to train on up to 1.2M sample from kaggle dataset, link below StackS

Vladislav Kruglikov 2 Nov 29, 2022
A Python script that compares files in directories

compare-files A Python script that compares files in different directories, this is similar to the command filecmp.cmp(f1, f2). I made this script in

Colvin 1 Oct 15, 2021
Implementation of Token Shift GPT - An autoregressive model that solely relies on shifting the sequence space for mixing

Token Shift GPT Implementation of Token Shift GPT - An autoregressive model that relies solely on shifting along the sequence dimension and feedforwar

Phil Wang 32 Oct 14, 2022
Search msDS-AllowedToActOnBehalfOfOtherIdentity

前言 现在进行RBCD的攻击手段主要是搜索mS-DS-CreatorSID,如果机器的创建者是我们可控的话,那就可以修改对应机器的msDS-AllowedToActOnBehalfOfOtherIdentity,利用工具SharpAllowedToAct-Modify 那我们索性也试试搜索所有计算机

Jumbo 26 Dec 05, 2022
🤖 Basic Financial Chatbot with handoff ability built with Rasa

Financial Services Example Bot This is an example chatbot demonstrating how to build AI assistants for financial services and banking with Rasa. It in

Mohammad Javad Hossieni 4 Aug 10, 2022
PyTorch implementation and pretrained models for XCiT models. See XCiT: Cross-Covariance Image Transformer

Cross-Covariance Image Transformer (XCiT) PyTorch implementation and pretrained models for XCiT models. See XCiT: Cross-Covariance Image Transformer L

Facebook Research 605 Jan 02, 2023
CrossNER: Evaluating Cross-Domain Named Entity Recognition (AAAI-2021)

CrossNER is a fully-labeled collected of named entity recognition (NER) data spanning over five diverse domains (Politics, Natural Science, Music, Literature, and Artificial Intelligence) with specia

Zihan Liu 89 Nov 10, 2022
Türkçe küfürlü içerikleri bulan bir yapay zeka kütüphanesi / An ML library for profanity detection in Turkish sentences

"Kötü söz sahibine aittir." -Anonim Nedir? sinkaf uygunsuz yorumların bulunmasını sağlayan bir python kütüphanesidir. Farkı nedir? Diğer algoritmalard

KaraGoz 4 Feb 18, 2022
Text editor on python to convert english text to malayalam(Romanization/Transiteration).

Manglish Text Editor This is a simple transiteration (romanization ) program which is used to convert manglish to malayalam (converts njaan to ഞാൻ ).

Merin Rose Tom 1 May 11, 2022
Convolutional 2D Knowledge Graph Embeddings resources

ConvE Convolutional 2D Knowledge Graph Embeddings resources. Paper: Convolutional 2D Knowledge Graph Embeddings Used in the paper, but do not use thes

Tim Dettmers 586 Dec 24, 2022
A repository to run gpt-j-6b on low vram machines (4.2 gb minimum vram for 2000 token context, 3.5 gb for 1000 token context). Model loading takes 12gb free ram.

Basic-UI-for-GPT-J-6B-with-low-vram A repository to run GPT-J-6B on low vram systems by using both ram, vram and pinned memory. There seem to be some

90 Dec 25, 2022
A PyTorch implementation of the Transformer model in "Attention is All You Need".

Attention is all you need: A Pytorch Implementation This is a PyTorch implementation of the Transformer model in "Attention is All You Need" (Ashish V

Yu-Hsiang Huang 7.1k Jan 05, 2023
Official codebase for Can Wikipedia Help Offline Reinforcement Learning?

Official codebase for Can Wikipedia Help Offline Reinforcement Learning?

Machel Reid 82 Dec 19, 2022