semvec/pypi-packages huggingface dataset:
PyNutrition 0.0
A small package
Requires Python: >=3.8

PyNutrition
===========

#### Esse é um pacote que realiza cálculos relacionados ao consumo de proteínas, cálorias e o consumo de água. POR ENQUANTO.
#### Os cáculos foram retirados do site: https://www.drnutricao.com.br/.
#### Veja o exemplo de resultado do pacote:


## Instalação:

    pip install PyNutrition

# Uso:
oscal-pydantic 2023.3.21
A set of Pydantic models generated from the OSCAL specification.
Requires Python: >=3.7
Keywords: oscal,OSCAL,pydantic

# OSCAL Pydantic

## Description
A simple module that contains pydantic datamodels representing the OSCAL standard. They are built from the OSCAL models published by NIST at https://github.com/usnistgov/OSCAL

Several Python projects include data models, but importing a large project just to get access to the datamodel represents a significant overhead. This module simply provides the models.

## Installation

pip install oscal-pydantic

## Usage

To import a specific model, include it in your python file:

e.g.: from oscal_pydantic import catalog

Alternatively, you can import the complete OSCAL schema:

from oscal_pydantic import complete

After importing, you should be able to define OSCAL objects that support pydantic's rich validation rules.

## License

This code is released under the [CC0 1.0 Universal Public Domain Dedication] (https://creativecommons.org/publicdomain/zero/1.0/).
onot 1.0.0
Generate open source software notice based on the SPDX document
Requires Python: >=3.6

# onot

`onot` is a tool that automatically creates open source software notices based on SPDX documents. `onot` is an open source project co-developed by [Kakao](https://github.com/kakao) and [SK telecom](https://github.com/sktelecom). We welcome your contributions.

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install foobar.

```bash
pip install onot
```

or you can install latest verson from source code. 

```bash
git clone https://github.com/sktelecom/onot.git ~/onot
cd ~/onot; python setup.py install
```

## Usage

### Command Line

1. Prepare your input file. The input file is an [Excel format SPDX document](./sample/SPDXRdfExample-v2.1.xlsx), and refer to the next page for [how to prepare it](./docs/how_to_prepare.md).

2. Run onot command with two arguments. 
   - `-i` or `--input` : SPDX document in Excel format containing open source information to be included in the OSS notice
   - `-o` or `--output_format` : File type of OSS notice to be generated (`html` or `text`)
   - Sample output : [output/OSS_Notice_SPDX-Tools-v2.0_20221009_180948.html](https://sktelecom.github.io/compliance/OSS_Notice_Sample_Application_20221011_140301.html)

```python
onot --input sample/SPDXRdfExample-v2.3.xlsx --output_format html
```

### GUI for windows

1. Prepare your input file. The input file is an [Excel format SPDX document](./sample/SPDXRdfExample-v2.1.xlsx), and refer to the next page for [how to prepare it](./docs/how_to_prepare.md).

2. Run the command below or download zip file from release assets. 

```shell
$ pyinstaller -w onot/gui/onot_app.py
```

3. Run the onot_app.exe file. Executable file is located in the onot_app directory.

## Test

```python
python -m unittest
```

## Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

### Maintainer

| Name | Company | Email |
|--|--|--|
| [Rogers](https://github.com/HyunMinH) (한현민) | Kakao| um4825@gmail.com |
| [Haksung](https://github.com/haksungjang) (장학성) | SK telecom | hakssung@gmail.com |

### Contributor

| Name | Company | Email |
|--|--|--|
| [Cindy](https://github.com/blackstrida) (이승아) | Kakao| blackstrida@gmail.com |

## License
[Apache-2.0](https://www.apache.org/licenses/LICENSE-2.0)