from Balanced import generate
nml_doc, nml_file_name, lems_file_name = generate(num_bbp =10,
scalePops = 20,
scalex=2,
scalez=2,
connections=True,
format='hdf5')
from neuroml.loaders import NeuroMLHdf5Loader
nml_doc2 = NeuroMLHdf5Loader.load(nml_file_name)
for doc in [nml_doc,nml_doc2]:
doc.summary()
input = Input(id=pre_index,
target="../%s/%i/%s" % (from_pop, pre_index, pop.component),
destination="synapses")
input_list.input.append(input)
nml_file = 'tmp/testh5.nml'
writers.NeuroMLWriter.write(nml_doc, nml_file)
print("Written network file to: " + nml_file)
nml_h5_file = 'tmp/testh5.nml.h5'
writers.NeuroMLHdf5Writer.write(nml_doc, nml_h5_file)
print("Written H5 network file to: " + nml_h5_file)
sum2 = nml_doc.summary()
from neuroml.loaders import NeuroMLHdf5Loader
nml_doc2 = NeuroMLHdf5Loader.load(nml_h5_file)
sum1 = nml_doc2.summary()
assert (sum1 == sum2)
###### Validate the NeuroML ######
from neuroml.utils import validate_neuroml2
validate_neuroml2(nml_file)
nml_file = 'tmp/testh5.nml'
writers.NeuroMLWriter.write(nml_doc, nml_file)
print("Written network file to: "+nml_file)
nml_h5_file = 'tmp/testh5.nml.h5'
writers.NeuroMLHdf5Writer.write(nml_doc, nml_h5_file)
print("Written H5 network file to: "+nml_h5_file)
sum2 = nml_doc.summary()
from neuroml.loaders import NeuroMLHdf5Loader
nml_doc2 = NeuroMLHdf5Loader.load(nml_h5_file)
sum1 = nml_doc2.summary()
assert(sum1==sum2)
###### Validate the NeuroML ######
from neuroml.utils import validate_neuroml2
validate_neuroml2(nml_file)