kiara-plugin.network-analysis


Namekiara-plugin.network-analysis JSON
Version 0.5.1 PyPI version JSON
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home_page
Summarykiara data types and modules for network analysis
upload_time2023-12-01 09:33:19
maintainer
docs_urlNone
author
requires_python>=3.8
licenseMPL-2.0
keywords kiara
VCS
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requirements No requirements were recorded.
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# [**kiara**](https://dharpa.org/kiara.documentation) plugin: (network_analysis)

kiara data types and modules for network analysis

 - Documentation: [https://DHARPA-Project.github.io/kiara_plugin.network_analysis](https://DHARPA-Project.github.io/kiara_plugin.network_analysis)
 - Code: [https://github.com/DHARPA-Project/kiara_plugin.network_analysis](https://github.com/DHARPA-Project/kiara_plugin.network_analysis)
 - `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.network_analysis.git
cd kiara_plugin.network_analysis
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.network_analysis.git
cd kiara_plugin.network_analysis
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 network_analysis_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.network_analysis
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.

            

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