semvec/pypi-packages huggingface dataset:
pyattck-data-models 2.0.0
Pyattck Data models
License: MIT
Requires Python: >=3.7,<4.0

# pyattck-data-models

<a href="https://pypi.org/project/pyattck-data-models/"><img src="https://img.shields.io/pypi/v/pyattck-data-models.svg" alt="PyPI" style="float: left; margin-right: 10px;" /></a>
<a href="https://pypi.org/project/pyattck-data-models/"><img src="https://img.shields.io/pypi/status/pyattck-data-models.svg" alt="Status" style="float: left; margin-right: 10px;" /></a>
<a href="https://pypi.org/project/pyattck-data-models/"><img src="https://img.shields.io/pypi/pyversions/pyattck-data-models" alt="Python Version" style="float: left; margin-right: 10px;" /></a>
<a href="https://opensource.org/licenses/MIT"><img src="https://img.shields.io/pypi/l/pyattck-data-models" alt="License" style="float: left; margin-right: 10px;" /></a>
<a href="https://github.com/swimlane/pyattck-data-models/actions?workflow=Tests"><img src="https://github.com/swimlane/pyattck-data-models/workflows/Tests/badge.svg" alt="Tests" style="float: left; margin-right: 10px;" /></a>
<a href="https://codecov.io/gh/swimlane/pyattck-data-models"><img src="https://codecov.io/gh/swimlane/pyattck-data-models/branch/main/graph/badge.svg" alt="Codecov" style="float: left; margin-right: 10px;" /></a>
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<a href="https://github.com/psf/black"><img src="https://img.shields.io/badge/code%20style-black-000000.svg" alt="Black" style="float: left; margin-right: 10px;" /></a>

# 

## Features

Includes data models for the following projects:

* [pyattck](https://github.com/swimlane/pyattck/)
* [pyattck-data](https://github.com/swimlane/pyattck-data/)


## Installation

You can install *Pyattck Data Models* via pip_ from PyPI_:

```
$ pip install pyattck-data-models
```

##Usage

Please see the `Command-line Reference <Usage_>`_ for details.


## Contributing

Contributions are very welcome.
To learn more, see the `Contributor Guide`_.


## License

Distributed under the terms of the `MIT license`_,
*Pyattck Data Models* is free and open source software.


## Issues

If you encounter any problems,
please `file an issue`_ along with a detailed description.
tokyo-lineage 0.6a15
Tokyo Lineage
License: MIT
Requires Python: >=3.6
Keywords: data lineage

# Tokyo Lineage
This is a prototype of lineage extraction library. I built this system to enable lineage extraction using ETL tools and Marquez. On this library, I provide an integration with Airflow. For other ETL tools, you can develop the integrations on your own and please kindly contribute to this library by sharing the integration code.
rf-utils 0.1.1
Dependencies of rf_utils package
License: MIT
Requires Python: >=3.9

# rf_utils

RobotFramework tools provided by QA team

## Documentation

https://packaging.python.org/en/latest/tutorials/packaging-projects/ 

## Configuration .pypirc 
File in ~/.pypirc
https://packaging.python.org/en/latest/specifications/pypirc/
https://python-packaging.readthedocs.io/en/latest/dependencies.html

## Packaging
### Prerequisite
	Configure python virtual env
	- python -m venv .venv
	Activate pyhton virtual env
	- .venv\Scripts\activate
	Update pip
	- %CD%\.venv\Scripts\python.exe -m pip install --upgrade pip
    Install/Update setuptools
    - pip install --upgrade setuptools
    Intall build package
    - pip install --upgrade build
    Install twine package
    - pip install twine

### Build the package
    Build the package
    - python -m build
    Will create files .tar.gz and .whl in ./dist directory

### Upload package
    In current terminal define proxy your proxy
    set PROXY=http://[username]:[password]@proxygeadm.etat-ge.ch:3128
    set HTTP_PROXY=%PROXY%
    set HTTPS_PROXY=%PROXY%

    Execute commande
    - python -m twine upload --repository pypi dist/*
    Or
    - twine upload --repository pypi dist/*

### pip installation
pip install rf_utils==0.1.0

### pdm installation
pdm add --save-exact rf_utils==0.1.0