semvec/pypi-packages huggingface dataset:
mmi-nds 0.0.1
mmi_nds is a library used for NDS data Manipulation
Requires Python: >=3.9

Install APSW Package Wraper. {https://artifactory.nds-association.org/ui/repos/tree/General/tooling-release-local/org/nds-association/sqlite3/apsw/3.41.0}

Install AFW Package. {https://artifactory.nds-association.org/ui/repos/tree/General/tooling-pypi-nds/afw/0.1.0}
mmi-nds-functions-ranjanport 0.0.1
mmi_nds_functions is a library used for NDS data Manipulation
Requires Python: >=3.9

Install APSW Package Wraper. {https://artifactory.nds-association.org/ui/repos/tree/General/tooling-release-local/org/nds-association/sqlite3/apsw/3.41.0}

Install AFW Package. {https://artifactory.nds-association.org/ui/repos/tree/General/tooling-pypi-nds/afw/0.1.0}


Aman Ranjan (aman.ranjan@mapmyindia.com) 		- Core Python 	| Routing 	| Delhi Team
Aashish Mishra (ashish.mishra@mapmyindia.com) 	- Core JAVA 	| Routing 	| Delhi Team
Saqib Mobin Shaikh (saqib.mobin@mapmyindia.com) 	- Core Python 	| POI 		| Bangalore Team
mqtts-lightning 0.1.1
Add a short description here
Requires Python: >=3.8

# mqtts

# installation
```
pip install mqtts-lightning
```

# step1 train_quantizer
```
cd examples/
python train_quantizer.py
```

# step2 preprocess corpus
```
cd examples/
python preprocess.py "data.quantizer_path+=path_to_quantizer_ckpt"
```

# step3 train token decoder
```
cd examples/
python train_token_decoder.py "data.quantizer_path+=path_to_quantizer_ckpt"
```

# to synthesize
TBA
danbooru 0.1.1
Unofficial https://danbooru.donmai.us Package

# Danbooru

[![PyPI](https://img.shields.io/pypi/v/danbooru)](https://pypi.python.org/pypi/danbooru)
[![GitHub license](https://img.shields.io/badge/license-MIT-blue.svg?style=flat-square)](https://raw.githubusercontent.com/TaprisSugarbell/Danbooru/main/LICENSE)

- Version: **0.0.9**
- License under: **MIT License**

## Dependencies
- Python: >= 3.9.7
- [beautifulsoup4](https://www.crummy.com/software/BeautifulSoup/bs4/doc/)
- [cloudscraper](https://github.com/venomous/cloudscraper)

## Example of use

### Danbooru

```python
from danbooru import Danbooru
booru = Danbooru() or Danbooru(host="safebooru")
post_random = booru.post_random()
print(post_random.file_url)
```
#### results

- 1
![Saber alter on a moto with a bikini](https://cdn.donmai.us/sample/64/f6/sample-64f6d3fd5b5e58963e2f033953bc7696.jpg "Fate character")
- 2
![Two character of azur lane, version chibi](https://cdn.donmai.us/original/09/ad/09add2352e3e94a9a55506cda9b67115.jpg "Two chibis")

### Login example

1.
````python
from danbooru import Danbooru
booru = Danbooru("YOUR-USERNAME", "YOUR-API_KEY")
print(booru.searchs(tags="loli"))
````

2.
````python
from danbooru import Danbooru
booru = Danbooru("YOUR-USERNAME", "YOUR-PASSWORD")
print(booru.searchs(tags="1girl 1boy"))
````

3.
````python
from danbooru import Danbooru
booru = Danbooru()
account = booru.create_account()
USERNAME = account["username"]
PASSWORD = account["password"]
print(USERNAME, PASSWORD)
print(booru.searchs(tags="long_hair"))
````