Metadata-Version: 2.1
Name: cnspy-timestamp-association
Version: 0.1.0
Summary: Associates vectors of timestamps.
Home-page: https://gitlab.aau.at/aau-cns/py3_pkgs/cnspy_timestamp_association/
Author: Roland Jung
Author-email: roland.jung@aau.at
License: UNKNOWN
Project-URL: Bug Tracker, https://gitlab.aau.at/aau-cns/py3_pkgs/cnspy_timestamp_association/issues
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: numpy

# cnspy_timestamp_association

The class `TimestampAssociation` finds correspondences between to vectors, in our case containing timestamps. The aim is to find timestamp pairs with a configurable  `max_difference`.

## Installation

Install the current code base from GitHub and pip install a link to that cloned copy
```
git clone https://gitlab.aau.at/aau-cns/py3_pkgs/cnspy_timestamp_association.git
cd cnspy_timestamp_association
pip install -e .
```

## Dependencies

* [numpy]()
* [ros_csv_formats]()
* [csv2dataframe]()


## Examples

Please refer to the unit-test section in `TimestampAssociation.py`.

## License

Software License Agreement (GNU GPLv3  License), refer to the LICENSE file.

*Sharing is caring!* - [Roland Jung](https://github.com/jungr-ait)


