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

Related tags

Text Data & NLPpythonguihackingarchivevisual-novelarcpackingunpackinggame-resourcessilkyenginesilkysenginearchivator
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

null 19 Dec 17, 2022
Colibri core is an NLP tool as well as a C++ and Python library for working with basic linguistic constructions such as n-grams and skipgrams (i.e patterns with one or more gaps, either of fixed or dynamic size) in a quick and memory-efficient way. At the core is the tool ``colibri-patternmodeller`` whi ch allows you to build, view, manipulate and query pattern models.

Colibri Core by Maarten van Gompel, [email protected], Radboud University Nijmegen Licensed under GPLv3 (See http://www.gnu.org/licenses/gpl-3.0.html

Maarten van Gompel 122 Nov 17, 2022
VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.

VADER-Sentiment-Analysis VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifica

C.J. Hutto 3.8k Dec 30, 2022
VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.

VADER-Sentiment-Analysis VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifica

C.J. Hutto 2.8k Feb 18, 2021
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

Phil Wang 2.3k Jan 1, 2023
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

PyCon Taiwan 4 Aug 20, 2022
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

S41R4J 121 Dec 27, 2022
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

Damian Panek 176 Nov 28, 2022
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

THUDM 42 Dec 27, 2022
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
GitHub Repository
Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in Question Answering

Disfl-QA is a targeted dataset for contextual disfluencies in an information seeking setting, namely question answering over Wikipedia passages. Disfl-QA builds upon the SQuAD-v2 (Rajpurkar et al., 2

Google Research Datasets 52 Jun 21, 2022
Product-Review-Summarizer - Created a product review summarizer which clustered thousands of product reviews and summarized them into a maximum of 500 characters, saving precious time of customers and helping them make a wise buying decision.

Product-Review-Summarizer - Created a product review summarizer which clustered thousands of product reviews and summarized them into a maximum of 500 characters, saving precious time of customers an

Parv Bhatt 1 Jan 01, 2022
🌐 Translation microservice powered by AI

Dot Translate 🌐 A microservice for quick and local translation using A.I. This service starts a local webserver used for neural machine translation.

Dot HQ 48 Nov 22, 2022
Auto translate textbox from Japanese to English or Indonesia

priconne-auto-translate Auto translate textbox from Japanese to English or Indonesia How to use Install python first, Anaconda is recommended Install

Aji Priyo Wibowo 5 Aug 25, 2022
Code and datasets for our paper "PTR: Prompt Tuning with Rules for Text Classification"

PTR Code and datasets for our paper "PTR: Prompt Tuning with Rules for Text Classification" If you use the code, please cite the following paper: @art

THUNLP 118 Dec 30, 2022
NLP, Machine learning

Netflix-recommendation-system NLP, Machine learning About Recommendation algorithms are at the core of the Netflix product. It provides their members

Harshith VH 6 Jan 12, 2022
This is a Python binding to the tokenizer Ucto. Tokenisation is one of the first step in almost any Natural Language Processing task, yet it is not always as trivial a task as it appears to be. This binding makes the power of the ucto tokeniser available to Python. Ucto itself is regular-expression based, extensible, and advanced tokeniser written in C++ (http://ilk.uvt.nl/ucto).

Ucto for Python This is a Python binding to the tokeniser Ucto. Tokenisation is one of the first step in almost any Natural Language Processing task,

Maarten van Gompel 27 Dec 14, 2022
Production First and Production Ready End-to-End Keyword Spotting Toolkit

Production First and Production Ready End-to-End Keyword Spotting Toolkit

223 Jan 02, 2023
This github repo is for Neurips 2021 paper, NORESQA A Framework for Speech Quality Assessment using Non-Matching References.

NORESQA: Speech Quality Assessment using Non-Matching References This is a Pytorch implementation for using NORESQA. It contains minimal code to predi

Meta Research 36 Dec 08, 2022
Cải thiện Elasticsearch trong bài toán semantic search sử dụng phương pháp Sentence Embeddings

Cải thiện Elasticsearch trong bài toán semantic search sử dụng phương pháp Sentence Embeddings Trong bài viết này mình sẽ sử dụng pretrain model SimCS

Vo Van Phuc 18 Nov 25, 2022
VampiresVsWerewolves - Our Implementation of a MiniMax algorithm with alpha beta pruning in the context of an in-class competition

VampiresVsWerewolves Our Implementation of a MiniMax algorithm with alpha beta pruning in the context of an in-class competition. Our Algorithm finish

Shawn 1 Jan 21, 2022
Subtitle Workshop (subshop): tools to download and synchronize subtitles

SUBSHOP Tools to download, remove ads, and synchronize subtitles. SUBSHOP Purpose Limitations Required Web Credentials Installation, Configuration, an

Joe D 4 Feb 13, 2022
This is the main repository of open-sourced speech technology by Huawei Noah's Ark Lab.

Speech-Backbones This is the main repository of open-sourced speech technology by Huawei Noah's Ark Lab. Grad-TTS Official implementation of the Grad-

HUAWEI Noah's Ark Lab 295 Jan 07, 2023
Creating an LSTM model to generate music

Music-Generation Creating an LSTM model to generate music music-generator Used to create basic sin wave sounds music-ai Contains the functions to conv

Jerin Joseph 2 Dec 02, 2021
Legal text retrieval for python

legal-text-retrieval Overview This system contains 2 steps: generate training data containing negative sample found by mixture score of cosine(tfidf)

Nguyễn Minh Phương 22 Dec 06, 2022
Utilize Korean BERT model in sentence-transformers library

ko-sentence-transformers 이 프로젝트는 KoBERT 모델을 sentence-transformers 에서 보다 쉽게 사용하기 위해 만들어졌습니다. Ko-Sentence-BERT-SKTBERT 프로젝트에서는 KoBERT 모델을 sentence-trans

Junghyun 40 Dec 20, 2022
A Plover python dictionary allowing for consistent symbol input with specification of attachment and capitalisation in one stroke.

Emily's Symbol Dictionary Design This dictionary was created with the following goals in mind: Have a consistent method to type (pretty much) every sy

Emily 68 Jan 07, 2023
NLP codes implemented with Pytorch (w/o library such as huggingface)

NLP_scratch NLP codes implemented with Pytorch (w/o library such as huggingface) scripts ├── models: Neural Network models ├── data: codes for dataloa

3 Dec 28, 2021
This repository contains the official release of the model "BanglaBERT" and associated downstream finetuning code and datasets introduced in the paper titled "BanglaBERT: Combating Embedding Barrier in Multilingual Models for Low-Resource Language Understanding".

BanglaBERT This repository contains the official release of the model "BanglaBERT" and associated downstream finetuning code and datasets introduced i

197 Dec 25, 2022
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