| Name | kiara-plugin.language-processing JSON |
| Version |
0.5.0
JSON |
| download |
| home_page | |
| Summary | Language-processing kiara modules and data types. |
| upload_time | 2023-11-14 10:38:22 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | >=3.8 |
| license | MPL-2.0 |
| keywords |
kiara
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
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| coveralls test coverage |
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|
[](https://pypi.python.org/pypi/kiara_plugin.language_processing/)
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# [**kiara**](https://dharpa.org/kiara.documentation) plugin: (language_processing)
Language-processing kiara modules and data types.
- Documentation: [https://DHARPA-Project.github.io/kiara_plugin.language_processing](https://DHARPA-Project.github.io/kiara_plugin.language_processing)
- Code: [https://github.com/DHARPA-Project/kiara_plugin.language_processing](https://github.com/DHARPA-Project/kiara_plugin.language_processing)
- `kiara`: [https://dharpa.org/kiara.documentation](https://dharpa.org/kiara.documentation)
## Description
TODO
## Development
### Requirements
- Python (version >= 3.8)
- pip, virtualenv
- git
- make (on Linux / Mac OS X -- optional)
### Prepare development environment
If you only want to work on the modules, and not the core *Kiara* codebase, follow the instructions below. Otherwise, please
check the notes on how to setup a *Kiara* development environment under (TODO).
#### Linux & Mac OS X (using make)
For *NIX-like operating system, setting up a development environment is relatively easy:
```console
git clone https://github.com/DHARPA-Project/kiara_plugin.language_processing.git
cd kiara_plugin.language_processing
python3 -m venv .venv
source .venv/bin/activate
make init
```
#### Windows (or manual pip install)
It's impossible to lay out all the ways Python can be installed on a machine, and virtual- (or conda-)envs can be created, so I'll assume you know how to do this.
One simple way is to install the [Anaconda (individual edition)](https://docs.anaconda.com/anaconda/install/index.html), then use the Anaconda navigator to create a new environment, install the 'git' package in it (if your system does not already have it), and use the 'Open Terminal' option of that environment to start up a terminal that has that virtual-/conda-environment activated.
Once that is done, `cd` into a directory where you want this project folder to live, and do:
```console
# make sure your virtual env is activated!!!
git clone https://github.com/DHARPA-Project/kiara_plugin.language_processing.git
cd kiara_plugin.language_processing
pip install --extra-index-url https://pypi.fury.io/dharpa/ -U -e .[all_dev]
```
#### Try it out
After this is done, you should be able to run the included example module via:
```console
kiara run language_processing_example text_1="xxx" text_2="yyy"
...
...
```
### Re-activate the development environment
The 'prepare' step from above only has to be done once. After that, to re-enable your virtual environment,
you'll need to navigate to the directory again (wherever that is, in your case), and run the ``source`` command from before again:
```console
cd path/to/kiara_plugin.language_processing
source .venv/bin/activate # if it isn't activated already, for example by the Anaconda navigator
kiara --help # or whatever, point is, kiara should be available for you now,
```
### ``make`` targets (Linux & Mac OS X)
- ``init``: init development project (install project & dev dependencies into virtualenv, as well as pre-commit git hook)
- ``update-dependencies``: update development dependencies (mainly the core ``kiara`` package from git)
- ``flake``: run *flake8* tests
- ``mypy``: run mypy tests
- ``test``: run unit tests
- ``docs``: create static documentation pages (under ``build/site``)
- ``serve-docs``: serve documentation pages (incl. auto-reload) for getting direct feedback when working on documentation
- ``clean``: clean build directories
For details (and other, minor targets), check the ``Makefile``.
### Running tests
``` console
> make test
# or
> make coverage
```
## Copyright & license
This project is MPL v2.0 licensed, for the license text please check the [LICENSE](/LICENSE) file in this repository.
Raw data
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