Corpus of Place Representations (COPR) / COPR.py
COPR [ˈkɒp.əʳ] is the Corpus of Place Representations, a collection of semantically annotated place representations that are made available for research. It is run by the Space & Place LAB, currently located at the University of Salzburg.
The COPR.py as part of the COPR API is an easy-to-use library to access data from the Corpus of Place Representations (COPR).
Website: https://copr.space-and-place.net
Installation
To install the library, you will need Node.js and Yarn as well as Python3 and pip. To install the production version, run
pip3 install copr.py # install package from PyPI
Alternatively, you can install the local version included in this repository. To do this, you have to first build some files using the copr-orchestration repository:
cd ..
git clone https://gitea.franz-benjamin.net/copr/copr-orchestration.git
cd copr-orchestration
yarn run build:info
cd ../copr-api
Then, you can run:
cd copr.py
yarn install # install for production
yarn run install:dev # install for development (with tests)
or alternatively
cd copr.py
pip3 install . # install for production
pip3 install -e . # install for development
Usage
For further information about the usage, see https://copr.space-and-place.net.
Testing
You can test the package by installing the corresponding dependencies
pip3 install .[test] # local
pip3 install copr[test] # from PyPI
and then running
pytest --verbose
Publishing
You can publish the library by executing the following steps:
cd copr.py
yarn run publish
Authorship and License
This application is written and maintained by Franz-Benjamin Mocnik, mail@space-and-place.net.
The code is licensed under the CC BY-SA 4.0.
Metadata
Release files for copr.py 0.0.15
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| copr_py-0.0.15.tar.gz | 11.5 kB | Details |
Release files / copr_py-0.0.15.tar.gz
| Download URL | copr_py-0.0.15.tar.gz |
|---|---|
| Size | 11.5 kB |
| Tags | Source |
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