Skip to main content

Hexlite - Solver for a fragment of HEX

Project description

# Hexlite - Solver for a fragment of HEX

This is a solver for a fragment of the HEX language and for Python-based plugins
which is based on Python interfaces of Clingo and does not contain any C++ code itself.

The intention is to provide a lightweight system for an easy start with HEX.

The vision is that HEXLite can use existing Python plugins and runs based on
the Clingo python interface, without realizing the full power of HEX.

The system is currently under development and only works for certain programs:
* External atoms with only constant inputs are evaluated during grounding in Gringo
* External atoms with predicate input(s) and no constant outputs are evaluated during solving in a clasp Propagator
* External atoms with predicate input(s) and constant outputs that have a domain predicate can also be evaluated
* Liberal Safety is not implemented
* Properties of external atoms are not used
* If it has a finite grounding, it will terminate, otherwise, it will not - as usual with Gringo
* FLP Check is implemented explicitly and does not work with strong negation and weak constraints
* FLP Check can be deactivated

A manuscript about the system is under preparation.

In case of bugs please report an issue here:

* License: GPL (3.0)
* Author: Peter Schüller <>
* Available at PyPi:
* Installation with Conda:

The easiest way to install `hexlite` is Conda.

First you need to install the `clingo` dependency:

```$ conda install -c potassco clingo```

Then you install hexlite:

```$ conda install -c peterschueller hexlite```

(If you wonder why we do not automatically install clingo as a dependency:
certain conda restrictions prevent that `clingo` is automatically installed
unless the potassco channel is **manually** added by the user.)

Then you test hexlite:

```$ hexlite -h```

* Installation with pip:

This will download, build, and locally install Python-enabled `clingo` modules.

* If you do not have it: install `python-pip`: for example under Ubuntu via

```$ sudo apt-get install python-pip```

* Install hexlite:

```$ pip install hexlite --user```

* Setup Python to use the "Userinstall" environment that allows you
to install Python programs without overwriting system packages:

Add the following to your `.profile` or `.bashrc` file:

export PYTHONUSERBASE=~/.local/
export PATH=$PATH:~/.local/bin

* Run hexlite the first time. This will help to download and build pyclingo unless it is already usable via `import clingo`:

```$ hexlite```

The first run of hexlite might ask you to enter the sudo password
to install several packages.
(You can do this manually. Simply abort and later run `hexlite` again.)

* Ubuntu 16.04 is tested
* Debian 8.6 (jessie) is tested
* Ubuntu 14.04 can not work without manual installation of cmake 3.1 or higher (for buildling clingo)

# Running Hexlite on Examples in the Repository

* If ``hexlite`` by itself shows the help, you can run it on some examples in the repository.

* Hexlite needs to know where to find plugins and what is the name of the Python modules of these plugins

* The path for plugins is given as argument ``--pluginpath <path>``.

This argument can be given multiple times. You can use absolute or relative paths.

* The python modules to load are given as argument ``--plugin <module> [<argument1> <argument2>]``.

Multiple plugins can be loaded.
Each plugin can have arguments.

If you specify the HEX input file after ``--plugin <module>``, it becomes the argument of the plugin.
In this case, you need to

* specify the HEX input files _before_ the other arguments
* indicate end of the argument list with the ``--`` option.

* To run one of the examples in the ``tests/`` directory you can use one of the following methods to call hexlite:

$ hexlite --pluginpath ./plugins/ --plugin testplugin -- tests/extatom3.hex
$ hexlite tests/extatom3.hex --pluginpath ./plugins/ --plugin testplugin
$ hexlite --pluginpath=./plugins/ --plugin=testplugin tests/extatom3.hex

# Developer Readme

* For developing hexlite without uploading to anaconda repository:

* Install clingo with conda, but but do **not** install hexlite with conda.

```$ conda install -c potassco clingo```

* checkout hexlite with git

```$ git clone```

* install `hexlite` in develop mode into your user-defined Python space:

```$ python3 develop --user```

* If you want to remove this development installation:

$ python3 develop --uninstall --user
$ rm ~/.local/bin/hexlite

(Installed scripts are not automatically uninstalled.)

* For building and uploading a new version to pip and conda (Note: conda requires to upload to pip first)

* Update version in ``.

* Build pypi source package

`$ python sdist`

* Verify that dist/ contains the right archives with the right content (no wheels etc.)

* Upload to pypi

`$ twine upload dist/*`

* Update version in `meta.yaml`.

* Build for anaconda cloud

`$ conda build .`

(get upload command from last lines of output)

If conda is installed on an encrypted /home/ or similar, this will abort with a permission error.
You can make it work by creating a new directory on an unencrypted `/tmp/`, for example `/tmp/conda-build`,
and run conda build as follows: `conda build --croot /tmp/conda-build/`.

* Verify that archive to upload contains the right content (and no backup files, experimental results, etc...)

`$ anaconda upload <path-from-conda-build>`

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for hexlite, version 1.0.1
Filename, size File type Python version Upload date Hashes
Filename, size hexlite-1.0.1.tar.gz (61.4 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page