return "<span %s><i>%s</i></span>"%(greyStyleDark, desc2)
def formatDescriptionSmall(element):
if element.getDescription() is None:
return ""
return "<br/>%s<span %s><i>%s</i></span>"%(spacer4,greySmallStyleDark, element.getDescription())
files = ["Cells", "Synapses", "Channels", "Inputs", "Networks", "PyNN", "NeuroMLCoreDimensions", "NeuroMLCoreCompTypes"]
compTypes = {}
compTypeSrc = {}
compTypeDesc = {}
for file in files:
lemscontents = lemsutil.readLems("../../../NeuroML2CoreTypes/%s.xml"%file, incIncludes=False)
for compType in lemscontents.getComponentType():
compTypes[compType.getName()] = compType
compTypeSrc[compType.getName()] = file
compTypeDesc[compType.getName()] = compType.getDescription() if compType.getDescription() is not None else "ComponentType: "+compType.getName()
print compTypeSrc
def compTypeLink(name):
if name is None or name == "none" or not compTypeSrc.has_key(name):
return "???"
compName = name
if name.startswith("base"): compName = "<span %s>%s</span>"% (greyBlueStyle, name)
desc= replaceUnderscoresAndUrls(compTypeDesc[name], False)
return "<a href=\"%s.html#%s\" title=\"%s\">%s</a>"%(compTypeSrc[name],name,desc,compName)
filename = "../../examples/NML2_AbstractCells.nml"
reader = lnml.NeuroMLReader()
nml2Doc = reader.readNeuroML(filename)
print "Read in cells in v2: "+nml2Doc.getId()
#print nml2Doc.__class__
iaf0 = nml2Doc.getIafCell()[0]
iafTau0 = nml2Doc.getIafTauCell()[0]
iz0 = nml2Doc.getIzhikevichCell()[0]
lemsDoc = lemsutil.readLems("../../NeuroML2CoreTypes/Cells.xml")
izCompType = lemsutil.getComponentType(lemsDoc, iz0.__class__.__name__)
iafCompType = lemsutil.getComponentType(lemsDoc, iaf0.__class__.__name__)
iafTauCompType = lemsutil.getComponentType(lemsDoc, iafTau0.__class__.__name__)
eqnsIaf = n2brian.toBrianEqnsResetThresh(lemsDoc, iaf0, iafCompType)
eqnsIafTau = n2brian.toBrianEqnsResetThresh(lemsDoc, iafTau0, iafTauCompType)
eqnsIz = n2brian.toBrianEqnsResetThresh(lemsDoc, iz0, izCompType)
print eqnsIafTau[0]
print eqnsIafTau[1]
print eqnsIafTau[2]
