def run(source_file, options, xsl_pp_cb):
try:
print('Parsing model file')
parser = LEMSParser(xsl_pp_cb, options.include_dirs,
['neuroml'])
parser.parse_file(source_file)
model = parser.get_model()
#print model
print('Resolving model')
model.resolve_model()
#print model
print('Building simulation')
sim = SimulationBuilder(model).build()
#sim.dump()
print('Running simulation')
sim.run()
process_simulation_output(sim, options)
except ParseError as e:
print('Caught ParseError - ' + str(e))
except ModelError as e:
print('Caught ModelError - ' + str(e))
#except SimBuildError as e:
#print('Caught SimBuildError - ' + str(e))
except SimError as e:
print('Caught SimError - ' + str(e))
def main():
"""
Program entry point.
"""
args = process_args()
print('Parsing and resolving model: ' + args.lems_file)
model = Model()
if args.I is not None:
for dir in args.I:
model.add_include_directory(dir)
model.import_from_file(args.lems_file)
resolved_model = model.resolve()
print('Building simulation')
sim = SimulationBuilder(resolved_model).build()
#sim.dump("Afterbuild:")
if args.dlems:
print('Exporting as: ' + dlems_info)
from lems.dlems.exportdlems import export_component
target = model.targets[0]
sim_comp = model.components[target]
target_net = sim_comp.parameters['target']
target_comp = model.components[target_net]
dlems_file_name = args.lems_file.replace('.xml', '.json')
if dlems_file_name == args.lems_file:
dlems_file_name = args.lems_file + '.json'
if target_comp.type == 'network':
for child in target_comp.children:
if child.type == 'population':
comp = model.components[child.parameters['component']]
export_component(model,
comp,
sim_comp,
child.id,
file_name=dlems_file_name)
else:
export_component(model, sim_comp, target_comp)
else:
print('Running simulation')
sim.run()
process_simulation_output(sim, args)
def main(args=None):
"""
Program entry point.
"""
if args is None:
args = process_args()
print('Parsing and resolving model: '+args.lems_file)
model = Model()
if args.I is not None:
for dir in args.I:
model.add_include_directory(dir)
model.import_from_file(args.lems_file)
resolved_model = model.resolve()
print('Building simulation')
sim = SimulationBuilder(resolved_model).build()
#sim.dump("Afterbuild:")
if args.dlems:
print('Exporting as: '+dlems_info)
from lems.dlems.exportdlems import export_component
target = model.targets[0]
sim_comp = model.components[target]
target_net = sim_comp.parameters['target']
target_comp = model.components[target_net]
dlems_file_name = args.lems_file.replace('.xml', '.json')
if dlems_file_name == args.lems_file:
dlems_file_name = args.lems_file + '.json'
if target_comp.type == 'network':
for child in target_comp.children:
if child.type == 'population':
comp = model.components[child.parameters['component']]
export_component(model, comp, sim_comp, child.id, file_name=dlems_file_name)
else:
export_component(model, sim_comp, target_comp)
else:
print('Running simulation')
sim.run()
process_simulation_output(sim, model, args)
parser.parse_file(model_file)
model = parser.get_model()
#print model
print('Resolving model')
model.resolve_model()
#print model
#sys.exit(0)
print('Building simulation')
sim = SimulationBuilder(model).build()
#dump_runnables(sim)
#sys.exit(0)
print('Running simulation')
sim.run()
#sys.exit(0)
if not nogui:
import matplotlib.pyplot as plt
import numpy
print('Plotting graphs')
rq = []
for rn in sim.runnables:
rq.append(sim.runnables[rn])
while rq != []:
runnable = rq[0]
rq = rq[1:]
for c in runnable.children:
print 'Building simulation'
sim = SimulationBuilder(model).build()
def print_run(run, offset):
print offset, run.id
for rn in run.children:
r = run.children[rn]
print_run(r, ' ' + offset)
print 'Runnables:'
for r in sim.runnables:
print_run(sim.runnables[r], '')
print 'Running simulation'
sim.run()
#sys.exit(0)
if not nogui:
import matplotlib.pyplot as plt
import numpy
print 'Plotting graphs'
rq = []
for rn in sim.runnables:
rq.append(sim.runnables[rn])
while rq != []:
runnable = rq[0]
rq = rq[1:]
for c in runnable.children:
