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
[ICLR'19] Trellis Networks for Sequence Modeling

TrellisNet for Sequence Modeling This repository contains the experiments done in paper Trellis Networks for Sequence Modeling by Shaojie Bai, J. Zico

CMU Locus Lab 460 Oct 13, 2022
API for the GPT-J language model 🦜. Including a FastAPI backend and a streamlit frontend

gpt-j-api 🦜 An API to interact with the GPT-J language model. You can use and test the model in two different ways: Streamlit web app at http://api.v

Víctor Gallego 276 Dec 31, 2022
中文无监督SimCSE Pytorch实现

A PyTorch implementation of unsupervised SimCSE SimCSE: Simple Contrastive Learning of Sentence Embeddings 1. 用法 无监督训练 python train_unsup.py ./data/ne

99 Dec 23, 2022
This Project is based on NLTK It generates a RANDOM WORD from a predefined list of words, From that random word it read out the word, its meaning with parts of speech , its antonyms, its synonyms

This Project is based on NLTK(Natural Language Toolkit) It generates a RANDOM WORD from a predefined list of words, From that random word it read out the word, its meaning with parts of speech , its

SaiVenkatDhulipudi 2 Nov 17, 2021
Malware-Related Sentence Classification

Malware-Related Sentence Classification This repo contains the code for the ICTAI 2021 paper "Enrichment of Features for Malware-Related Sentence Clas

Chau Nguyen 1 Mar 26, 2022
The repository for the paper: Multilingual Translation via Grafting Pre-trained Language Models

Graformer The repository for the paper: Multilingual Translation via Grafting Pre-trained Language Models Graformer (also named BridgeTransformer in t

22 Dec 14, 2022
InferSent sentence embeddings

InferSent InferSent is a sentence embeddings method that provides semantic representations for English sentences. It is trained on natural language in

Facebook Research 2.2k Dec 27, 2022
DensePhrases provides answers to your natural language questions from the entire Wikipedia in real-time

DensePhrases provides answers to your natural language questions from the entire Wikipedia in real-time. While it efficiently searches the answers out of 60 billion phrases in Wikipedia, it is also v

Jinhyuk Lee 543 Jan 08, 2023
:id: A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.

Dedupe Python Library dedupe is a python library that uses machine learning to perform fuzzy matching, deduplication and entity resolution quickly on

Dedupe.io 3.6k Jan 02, 2023
Training open neural machine translation models

Train Opus-MT models This package includes scripts for training NMT models using MarianNMT and OPUS data for OPUS-MT. More details are given in the Ma

Language Technology at the University of Helsinki 167 Jan 03, 2023
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
This repository has a implementations of data augmentation for NLP for Japanese.

daaja This repository has a implementations of data augmentation for NLP for Japanese: EDA: Easy Data Augmentation Techniques for Boosting Performance

Koga Kobayashi 60 Nov 11, 2022
**NSFW** A chatbot based on GPT2-chitchat

DangBot -- 好怪哦,再来一句 卡群怪话bot,powered by GPT2 for Chinese chitchat Training Example: python train.py --lr 5e-2 --epochs 30 --max_len 300 --batch_size 8

Tommy Yang 11 Jul 21, 2022
Label data using HuggingFace's transformers and automatically get a prediction service

Label Studio for Hugging Face's Transformers Website • Docs • Twitter • Join Slack Community Transfer learning for NLP models by annotating your textu

Heartex 135 Dec 29, 2022
基于百度的语音识别,用python实现,pyaudio+pyqt

Speech-recognition 基于百度的语音识别,python3.8(conda)+pyaudio+pyqt+baidu-aip 百度有面向python

J-L 1 Jan 03, 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
gaiic2021-track3-小布助手对话短文本语义匹配复赛rank3、决赛rank4

决赛答辩已经过去一段时间了,我们队伍ac milan最终获得了复赛第3,决赛第4的成绩。在此首先感谢一些队友的carry~ 经过2个多月的比赛,学习收获了很多,也认识了很多大佬,在这里记录一下自己的参赛体验和学习收获。

102 Dec 19, 2022
A Multilingual Latent Dirichlet Allocation (LDA) Pipeline with Stop Words Removal, n-gram features, and Inverse Stemming, in Python.

Multilingual Latent Dirichlet Allocation (LDA) Pipeline This project is for text clustering using the Latent Dirichlet Allocation (LDA) algorithm. It

Artifici Online Services inc. 74 Oct 07, 2022
Dope Wars game engine on StarkNet L2 roll-up

RYO Dope Wars game engine on StarkNet L2 roll-up. What TI-83 drug wars built as smart contract system. Background mechanism design notion here. Initia

104 Dec 04, 2022