A Python library for working with the Low Entropy Model Specification language (LEMS)
Project description
A LEMS (http://lems.github.io/LEMS) simulator written in Python which can be used to run NeuroML2 (http://neuroml.org/neuroml2.php) models
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 elements that do not work
XPath based parameters - PathParameter
Assertions
Tasks TODO
Implement flattening
Decouple events from runnables
Perform dimension-checking on expressions.
Implement LEMS API over lems.model.* (NeuroML API?) - Interface with libNeuroML and Pyramidal to export Neuron MOD files - Export C files (Interface? Steve Marsh’s project?)
Assertions.
XPath implementation.
Implement Runnables from Component types instead of expanded typeless Components (Required for efficient C/C++ code generation, but conflicts with flattening)
Travis integration
pylems is integrated with the the [Travis Continuous Integration service](http://travis-ci.org/).
[](https://travis-ci.org/LEMS/pylems)
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](https://travis-ci.org/LEMS/pylems){kind=link}