def load_neuroml():
redocs = []
for i, xmlfile in enumerate(
NeuroMLDataLibrary.get_channelMLV1FilesWithSingleChannel()):
try:
print "XMLFILE:", xmlfile
eqnset, chl_info, default_filename = ChannelMLReader.BuildEqnset(
xmlfile)
# Build the pdf for the channel:
eqnset_redoc = MRedocWriterVisitor.build(eqnset)
#Build the NModl for the channel:
txt, buildparameters = nmodl.WriteToNMODL(eqnset)
section = SectionNewPage(
"Import from: %s" % "/".join(xmlfile.split('/')[-3:]),
Section("Original XML:", VerbatimBlock(open(xmlfile).read())),
eqnset_redoc, Section("Generated Modfile", VerbatimBlock(txt)))
redocs.append(section)
except NeuroUnitsImportNeuroMLNotImplementedException, e:
pass
if i > 1:
break
def load_neuroml():
redocs = []
for i, xmlfile in enumerate(NeuroMLDataLibrary.get_channelMLV1FilesWithSingleChannel()):
try:
print "XMLFILE:", xmlfile
eqnset, chl_info, default_filename = ChannelMLReader.BuildEqnset(xmlfile)
# Build the pdf for the channel:
eqnset_redoc = MRedocWriterVisitor.build(eqnset)
# Build the NModl for the channel:
txt, buildparameters = nmodl.WriteToNMODL(eqnset)
section = SectionNewPage(
"Import from: %s" % "/".join(xmlfile.split("/")[-3:]),
Section("Original XML:", VerbatimBlock(open(xmlfile).read())),
eqnset_redoc,
Section("Generated Modfile", VerbatimBlock(txt)),
)
redocs.append(section)
except NeuroUnitsImportNeuroMLNotImplementedException, e:
pass
if i > 1:
break
def document_eqnsets(individual_reports=True):
all_redocs = []
for f in TestLocations.getEqnSetFiles():
f_basename = os.path.splitext( os.path.basename(f))[0]
# Load the EqnSet:
library_manager = NeuroUnitParser.File( open(f).read(), name=f_basename )
# Create the documentation:
local_redoc = MRedocWriterVisitor.build( library_manager)
# Create a local documentation file:
if individual_reports:
doc = Document(TableOfContents(), local_redoc)
doc.to_pdf( Join(TestLocations.getTestOutputDir(), 'eqnsets_%s.pdf' %f_basename ) )
# Add it to single large file:
all_redocs.append( local_redoc )
return all_redocs
from os.path import join as Join
def load_neuroml():
from mredoc.objects.core import Document, TableOfContents, SectionNewPage, Section, VerbatimBlock
redocs = []
for (i, xmlfile) in enumerate(NeuroMLDataLibrary.get_channelMLV1FilesWithSingleChannel()):
try:
print 'XMLFILE:', xmlfile
(eqnset, chl_info, default_filename) = ChannelMLReader.BuildEqnset(xmlfile)
# Build the pdf for the channel:
eqnset_redoc = MRedocWriterVisitor.build(eqnset)
# Build the NModl for the channel:
(txt, buildparameters) = nmodl.WriteToNMODL(eqnset)
section = SectionNewPage("Import from: %s"% "/".join(xmlfile.split('/')[-3:]),
Section("Original XML:", VerbatimBlock(open(xmlfile).read() ) ),
eqnset_redoc,
Section("Generated Modfile",VerbatimBlock(txt) ) )
redocs.append(section)
except NeuroUnitsImportNeuroMLNotImplementedException, e:
pass
if i > 1: