Skip to main content

A Python library for working with the Low Entropy Model Specification language (LEMS)

Project description

PyLEMS
======

A LEMS (http://lems.github.io/LEMS) simulator written in Python which can be used
to run NeuroML2 (http://neuroml.org/neuroml2.php) models.

For more about PyLEMS see:

Michael Vella, Robert C. Cannon, Sharon Crook, Andrew P. Davison, Gautham Ganapathy, Hugh P. C. Robinson, R. Angus Silver and Padraig Gleeson,
**libNeuroML and PyLEMS: using Python to combine procedural and declarative modeling approaches in computational neuroscience**
[Frontiers in Neuroinformatics 2014](http://journal.frontiersin.org/Journal/10.3389/fninf.2014.00038/abstract), doi: 10.3389/fninf.2014.00038

_**PLEASE CITE THE PAPER ABOVE IF YOU USE PYLEMS!**_

For more details on LEMS see:

Robert C. Cannon, Padraig Gleeson, Sharon Crook, Gautham Ganapathy, Boris Marin, Eugenio Piasini and R. Angus Silver,
**LEMS: A language for expressing complex biological models in concise and hierarchical form and its use in underpinning NeuroML 2**,
[Frontiers in Neuroinformatics 2014](http://journal.frontiersin.org/Journal/10.3389/fninf.2014.00079/abstract), doi: 10.3389/fninf.2014.00079


Installation
------------

A stable version of PyLEMS is [available on PyPI](https://pypi-hypernode.com/pypi/PyLEMS) using [pip](https://pip.pypa.io/en/latest/installing.html):

pip install pylems

To install as root:

sudo pip install pylems

Alternatively, you can obtain the latest version with

git clone https://github.com/LEMS/pylems.git
cd pylems
git checkout development # optional
sudo python setup.py install

Usage as a LEMS model simulator
-------------------------------

pylems [options] LEMS_file

**Options**

- -I/-include path - Adds a directory to the model file include search path


Examples
--------

**NeuroML examples (from https://github.com/NeuroML/NeuroML2/tree/development/NeuroML2CoreTypes)**

- Example 0 -- Working
- Example 1 -- Working
- Example 2 -- Working
- Example 3 -- Working
- Example 4 -- Not working (Unsupported in PyLEMS: KSChannel)
- Example 5 -- Working
- Example 6 -- Working
- Example 7 -- Working
- Example 8 -- Working
- Example 9 -- Working
- Example 10 -- Working
- Example 11 -- Working
- Example 12 -- Not working (Unsupported in PyLEMS: Property)
- Example 13 -- Working
- Example 14 -- Not working (Unsupported in PyLEMS: Property)
- Example 15 -- Working
- Example 16 -- Working (apart from spikeArray)
- Example 17 -- Working
- Example 18 -- Working


**LEMS examples (in directory examples)**

- example1.xml -- Working
- example2.xml -- Working
- example3.xml -- Working
- example4.xml -- Not working (Unsupported in PyLEMS: KSChannel)
- example5.xml -- Not working (Unsupported in PyLEMS: KSChannel)
- example6.xml -- Working
-- TODO: Rest of examples require an update to the `<Simulation>` element,
i.e. use `<Simulation...>` not `<SimulationSet...>`, to work in PyLEMS


**LEMS elements that do not work**

- KSChannel
- Property
- XPath based parameters - PathParameter
- Assertions

**Tasks TODO**

- Implement flattening
- Decouple events from runnables
- Improve dimension-checking on expressions.


Travis integration
------------------

pylems is integrated with the the [Travis Continuous Integration service](http://travis-ci.org/).

[![Build Status](https://travis-ci.org/LEMS/pylems.png?branch=master)](https://travis-ci.org/LEMS/pylems)

This code is distributed under the terms of the GNU Lesser General Public License.

Project details


Download files

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

Source Distribution

PyLEMS-0.4.5.tar.gz (50.3 kB view details)

Uploaded Source

File details

Details for the file PyLEMS-0.4.5.tar.gz.

File metadata

  • Download URL: PyLEMS-0.4.5.tar.gz
  • Upload date:
  • Size: 50.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for PyLEMS-0.4.5.tar.gz
Algorithm Hash digest
SHA256 4a8708602b85527a0d76e2f4006e695b26177e726e866a847c16b2e999d80cd4
MD5 ac55137ca284aa0fa797fb963cf4cb0c
BLAKE2b-256 90e6b94b367b3a2f8738fb2f8713ea6b5455536dce84732469c5790111123bde

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page