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
Mkdocs + material + cool stuff

Modern-Python-Doc-Example mkdocs + material + cool stuff Doc is live here Features out of the box amazing good looking website thanks to mkdocs.org an

Francesco Saverio Zuppichini 61 Oct 26, 2022
NeuTex: Neural Texture Mapping for Volumetric Neural Rendering

NeuTex: Neural Texture Mapping for Volumetric Neural Rendering Paper: https://arxiv.org/abs/2103.00762 Running Run on the provided DTU scene cd run ba

Fanbo Xiang 68 Jan 06, 2023
Grapheme-to-phoneme (G2P) conversion is the process of generating pronunciation for words based on their written form.

Neural G2P to portuguese language Grapheme-to-phoneme (G2P) conversion is the process of generating pronunciation for words based on their written for

fluz 11 Nov 16, 2022
A retro text-to-speech bot for Discord

hawking A retro text-to-speech bot for Discord, designed to work with all of the stuff you might've seen in Moonbase Alpha, using the existing command

Nick Schorr 23 Dec 25, 2022
Neural network models for joint POS tagging and dependency parsing (CoNLL 2017-2018)

Neural Network Models for Joint POS Tagging and Dependency Parsing Implementations of joint models for POS tagging and dependency parsing, as describe

Dat Quoc Nguyen 152 Sep 02, 2022
Simple Speech to Text, Text to Speech

Simple Speech to Text, Text to Speech 1. Download Repository Opsi 1 Download repository ini, extract di lokasi yang diinginkan Opsi 2 Jika sudah famil

Habib Abdurrasyid 5 Dec 28, 2021
2021搜狐校园文本匹配算法大赛baseline

sohu2021-baseline 2021搜狐校园文本匹配算法大赛baseline 简介 分享了一个搜狐文本匹配的baseline,主要是通过条件LayerNorm来增加模型的多样性,以实现同一模型处理不同类型的数据、形成不同输出的目的。 线下验证集F1约0.74,线上测试集F1约0.73。

苏剑林(Jianlin Su) 45 Sep 06, 2022
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
The code for the Subformer, from the EMNLP 2021 Findings paper: "Subformer: Exploring Weight Sharing for Parameter Efficiency in Generative Transformers", by Machel Reid, Edison Marrese-Taylor, and Yutaka Matsuo

Subformer This repository contains the code for the Subformer. To help overcome this we propose the Subformer, allowing us to retain performance while

Machel Reid 10 Dec 27, 2022
A Japanese tokenizer based on recurrent neural networks

Nagisa is a python module for Japanese word segmentation/POS-tagging. It is designed to be a simple and easy-to-use tool. This tool has the following

325 Jan 05, 2023
EMNLP'2021: Can Language Models be Biomedical Knowledge Bases?

BioLAMA BioLAMA is biomedical factual knowledge triples for probing biomedical LMs. The triples are collected and pre-processed from three sources: CT

DMIS Laboratory - Korea University 41 Nov 18, 2022
Implementation of Multistream Transformers in Pytorch

Multistream Transformers Implementation of Multistream Transformers in Pytorch. This repository deviates slightly from the paper, where instead of usi

Phil Wang 47 Jul 26, 2022
TLA - Twitter Linguistic Analysis

TLA - Twitter Linguistic Analysis Tool for linguistic analysis of communities TLA is built using PyTorch, Transformers and several other State-of-the-

Tushar Sarkar 47 Aug 14, 2022
A Python module made to simplify the usage of Text To Speech and Speech Recognition.

Nav Module The solution for voice related stuff in Python Nav is a Python module which simplifies voice related stuff in Python. Just import the Modul

Snm Logic 1 Dec 20, 2021
Transcribing audio files using Hugging Face's implementation of Wav2Vec2 + "chain-linking" NLP tasks to combine speech-to-text with downstream tasks like translation and summarisation.

PART 2: CHAIN LINKING AUDIO-TO-TEXT NLP TASKS 2A: TRANSCRIBE-TRANSLATE-SENTIMENT-ANALYSIS In notebook3.0, I demo a simple workflow to: transcribe a lo

Chua Chin Hon 30 Jul 13, 2022
Fast, DB Backed pretrained word embeddings for natural language processing.

Embeddings Embeddings is a python package that provides pretrained word embeddings for natural language processing and machine learning. Instead of lo

Victor Zhong 212 Nov 21, 2022
Korean Simple Contrastive Learning of Sentence Embeddings using SKT KoBERT and kakaobrain KorNLU dataset

KoSimCSE Korean Simple Contrastive Learning of Sentence Embeddings implementation using pytorch SimCSE Installation git clone https://github.com/BM-K/

34 Nov 24, 2022
🕹 An esoteric language designed so that the program looks like the transcript of a Pokémon battle

PokéBattle is an esoteric language designed so that the program looks like the transcript of a Pokémon battle. Original inspiration and specification

Eduardo Correia 9 Jan 11, 2022
✨Fast Coreference Resolution in spaCy with Neural Networks

✨ NeuralCoref 4.0: Coreference Resolution in spaCy with Neural Networks. NeuralCoref is a pipeline extension for spaCy 2.1+ which annotates and resolv

Hugging Face 2.6k Jan 04, 2023
[EMNLP 2021] Mirror-BERT: Converting Pretrained Language Models to universal text encoders without labels.

[EMNLP 2021] Mirror-BERT: Converting Pretrained Language Models to universal text encoders without labels.

Cambridge Language Technology Lab 61 Dec 10, 2022