semvec/pypi-packages huggingface dataset:
doc-dict 0.0.3
Dict with documentation _-_
Requires Python: >=3.7

# doc_dict
## Installation
```
git clone git@github.com:Kel0/doc_dict.git
```
```
pip install doc-dict
```
## Usage
```
from doc_dict.factory import Factory


documented_dict = Factory()

my_dict = {
    "first_name": "Mike",
    "first_name_doc": "It's name field",
    "last_name": "Anderson",
}

my_doc_dict = documented_dict.load(my_dict)

my_doc_dict["first_name"].value  # Get value of key
my_doc_dict["first_name"].doc  # Get doc of key


my_dict = {
    "first_name": "Mike",
    "last_name": "Anderson",
}
my_dict_doc = {
    "first_name": "It's name field",
}

my_doc_dict = documented_dict.load(my_dict, my_dict_doc)
my_doc_dict["first_name"].value  # Get value of key
my_doc_dict["first_name"].doc  # Get doc of key

serialized_doc_dict = documented_dict.serialize(my_doc_dict) 
```

## Types
```
doc_dict.datastructures.DocumentedValue

doc_dict.factory.Factory().load() -> Dict[str, DocumentedValue]

doc_dict.factory.Factory().serialize() -> str
```
dubeolsik-automata 0.1.0
Dubeolsik automata
Requires Python: >=3.6

# 두벌식 오토마타 (dubeolsik_automata)
- 영타로 들어온 입력을 한글로 변환 후 각 자음 모음 조각들을 모아 단어를 만들어줍니다. 
- 예) 'dkssud' -> 'ㅇㅏㄴㄴㅕㅇ' -> '안녕'

- After converting the english input into Korean, collect the pieces of each consonant vowel to make a word. 
- ex) 'dkssud' -> 'ㅇㅏㄴㄴㅕㅇ' -> '안녕'

## 설치 (Install)
> pip install dubeolsik_automata
- or just download dubeolsik_automata.py and import it

## 사용 방법 (How to use)
### 필요 패키지 및 설정 (Necessary Packages and Settings)
- Nothing

### 함수 설명 (Functions)
- join_jamos

## Shield
![GitHub repo size](https://img.shields.io/github/repo-size/kjh618/dubeolsik-automata)