def main(args):
try:
FrontendConfiguration.parse_config(args)
except InvalidPathException:
print('Not a valid path to model or directory: "%s"!' %
FrontendConfiguration.get_path())
return
# after all argument have been collected, start the actual processing
process()
def main():
"""Returns the process exit code: 0 for success, > 0 for failure"""
try:
FrontendConfiguration.parse_config(sys.argv[1:])
except InvalidPathException:
print('Not a valid path to model or directory: "%s"!' % FrontendConfiguration.get_path())
return 1
# after all argument have been collected, start the actual processing
return int(process())
def main():
"""Returns the process exit code: 0 for success, > 0 for failure"""
try:
FrontendConfiguration.parse_config(sys.argv[1:])
except InvalidPathException:
print('Not a valid path to model or directory: "%s"!' %
FrontendConfiguration.get_path())
return 1
# the default Python recursion limit is 1000, which might not be enough in practice when running an AST visitor on a deep tree, e.g. containing an automatically generated expression
sys.setrecursionlimit(10000)
# after all argument have been collected, start the actual processing
return int(process())
def main(args):
try:
FrontendConfiguration.config(args)
except InvalidPathException:
print('Not a valid path to model or directory: "%s"!' %
FrontendConfiguration.get_path())
return
# init log dir
create_report_dir()
# The handed over parameters seem to be correct, proceed with the main routine
init_predefined()
# now proceed to parse all models
compilation_units = list()
for file in FrontendConfiguration.get_files():
parsed_unit = ModelParser.parse_model(file)
if parsed_unit is not None:
compilation_units.append(parsed_unit)
# generate a list of all neurons
neurons = list()
for compilationUnit in compilation_units:
neurons.extend(compilationUnit.get_neuron_list())
# check if across two files two neurons with same name have been defined
CoCosManager.check_not_two_neurons_across_units(compilation_units)
# now exclude those which are broken, i.e. have errors.
if not FrontendConfiguration.is_dev():
for neuron in neurons:
if Logger.has_errors(neuron):
code, message = Messages.get_neuron_contains_errors(
neuron.get_name())
Logger.log_message(neuron=neuron,
code=code,
message=message,
error_position=neuron.get_source_position(),
log_level=LoggingLevel.INFO)
neurons.remove(neuron)
if not FrontendConfiguration.is_dry_run():
analyse_and_generate_neurons(neurons)
generate_nest_module_code(neurons)
else:
code, message = Messages.get_dry_run()
Logger.log_message(neuron=None,
code=code,
message=message,
log_level=LoggingLevel.INFO)
if FrontendConfiguration.store_log:
store_log_to_file()
return
