Validating NeuroML Models
Validating NeuroML Models¶
Validate NeuroML 2 files before using them.
It is good practice to validate NeuroML 2 files to check them for correctness before using them.
Models described in NeuroML must adhere to the NeuroML specification. This allows all NeuroML models to be checked for correctness: validation. There are a number of ways of validating NeuroML model files.
Using the command line tools¶
Usage: # For NeuroML 2 jnml -validate <NML file(s)> pynml <NML file(s)> -validate # For NeuroML 1 (deprecated) jnml -validatev1 <NML file> pynml <NML file(s)> -validatev1
Using the Python API¶
The pyNeuroML Python API provides a number of methods to validate NeuroML 2 files.
The first is the aptly named
from pyneuroml.pynml import validate_neuroml2 ... validate_neuroml2(nml_filename)
validate_neuroml1 function can be used to validate NeuroML v1 files.
If you are loading NeuroML files into your Python script, the
read_neuroml2_file function also includes validation:
from pyneuroml.pynml import read_neuroml2_file .... read_neuroml2_file(nml_filename, include_includes=True, check_validity_pre_include=True)
This will read (load) the provided NeuroML 2 file and all the files that are recursively included by it, and validate them all while it loads them.