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src/l/i/libNeuroML-HEAD/neuroml/examples/single_izhikevich_reader.py   libNeuroML(Download)
def load_izhikevich(filename="./test_files/SingleIzhikevich.nml"):
    nml_filename = filename
    validate_neuroml2(nml_filename)
    nml_doc = NeuroMLLoader.load(nml_filename)
 

src/l/i/libNeuroML-HEAD/neuroml/examples/loading_modifying_writing_large.py   libNeuroML(Download)
for n in range(numCells):
 
    doc = loaders.NeuroMLLoader.load(fn)
    cells.append(doc.cells[0])
 #   print("Loaded morphology file from: "+fn)

src/l/i/libNeuroML-HEAD/neuroml/examples/loading_modifying_writing.py   libNeuroML(Download)
 
fn = './test_files/Purk2M9s.nml'
doc = loaders.NeuroMLLoader.load(fn)
print("Loaded morphology file from: "+fn)
 

src/l/i/libNeuroML-HEAD/neuroml/examples/loading_and_manipulating_neuroml.py   libNeuroML(Download)
from neuroml import loaders
import neuroml
 
doc = loaders.NeuroMLLoader.load('./test_files/Purk2M9s.nml')
 

src/l/i/libNeuroML-HEAD/neuroml/examples/json_serialization.py   libNeuroML(Download)
 
fn = './test_files/Purk2M9s.nml'
doc = loaders.NeuroMLLoader.load(fn)
print("Loaded morphology file from: "+fn)
 

src/l/i/libNeuroML-HEAD/neuroml/test/test_loaders.py   libNeuroML(Download)
        f = open(test_file_path,'r')
        print(f.read())
        doc = loaders.NeuroMLLoader.load(test_file_path)
        self.assertEqual(doc.id,'Purk2M9s')
 

src/l/i/libNeuroML-0.1.9.1/neuroml/test/test_loaders.py   libNeuroML(Download)
        f = open(test_file_path,'r')
        print f.read()
        doc = loaders.NeuroMLLoader.load(test_file_path)
        self.assertEqual(doc.id,'Purk2M9s')