def test_profile_singlepop():
dv = .0001
update_method = 'approx'
tol = 1e-14
run_dict = {'dt':.0001, 't0':0, 'tf':.2}
simulation = get_network(dv=dv, update_method=update_method, tol=tol)
profile_result = profile_network(simulation, run_dict)
run_time = extract_value(profile_result, 'network.py', 'run')
def test_profile_singlepop():
dv = .0001
update_method = 'approx'
approx_order = None
tol = 1e-14
run_dict = {'dt':.0001, 't0':0, 'tf':.2}
simulation = get_network(dv=dv, update_method=update_method, approx_order=approx_order, tol=tol)
profile_result = profile_network(simulation, run_dict)
run_time = extract_value(profile_result, 'network.py', 'run')
# Create neuroml doc:
nml_doc = nml.NeuroMLDocument(id=doc_id)
# Append types:
# nml_doc.iaf_cells.append(nml.IafCell0)
population_type_list = {}
for p in network.population_list:
curr_population_name = p.__class__.__name__
if curr_population_name == 'InternalPopulation':
print neuroml_internal_population_parameter_dict_adapter(p)
elif curr_population_name == 'ExternalPopulation':
pass
# print neuroml_external_population_parameter_dict_adapter(p)
else:
raise Exception(
'Population Type (%s) not recognize when converting to NeuroML'
% curr_population_name)
if __name__ == "__main__":
warnings.warn('NeuroML adapter is in prototype stage and not debugged.')
from dipde.examples.singlepop import get_network
network = get_network(tol=1e-14)
network_to_neuroml(network, 'temp.net.nml')
# Create neuroml doc:
nml_doc = nml.NeuroMLDocument(id=doc_id)
print nml_doc
validate_neuroml2(nml_doc)
# Append types:
# nml_doc.iaf_cells.append(nml.IafCell0)
population_type_list = {}
for p in network.population_list:
curr_population_name = p.__class__.__name__
if curr_population_name == 'InternalPopulation':
output = neuroml_internal_population_parameter_dict_adapter(p)
elif curr_population_name == 'ExternalPopulation':
pass
# print neuroml_external_population_parameter_dict_adapter(p)
else:
raise Exception('Population Type (%s) not recognize when converting to NeuroML' % curr_population_name)
if __name__ == "__main__":
warnings.warn('NeuroML adapter is in prototype stage and not debugged.')
from dipde.examples.singlepop import get_network
network = get_network(tol=1e-14)
network_to_neuroml(network, 'temp.net.nml')
