def visit_synapse(self, node):
"""
Private method: Used to visit a single synapse and create the corresponding global as well as local scopes.
:return: a single synapse.
:rtype: ast_synapse
"""
# set current processed synapse
# Logger.set_current_synapse(node)
Logger.set_current_node(node)
code, message = Messages.get_start_building_symbol_table()
Logger.log_message(node=node,
code=code,
error_position=node.get_source_position(),
message=message,
log_level=LoggingLevel.INFO)
# before starting the work on the synapse, make everything which was implicit explicit
# but if we have a model without an equations block, just skip this step
scope = Scope(scope_type=ScopeType.GLOBAL,
source_position=node.get_source_position())
node.update_scope(scope)
node.get_body().update_scope(scope)
# now first, we add all predefined elements to the scope
variables = PredefinedVariables.get_variables()
functions = PredefinedFunctions.get_function_symbols()
types = PredefinedTypes.get_types()
for symbol in variables.keys():
node.get_scope().add_symbol(variables[symbol])
for symbol in functions.keys():
node.get_scope().add_symbol(functions[symbol])
for symbol in types.keys():
node.get_scope().add_symbol(types[symbol])
def visit_neuron(self, node):
"""
Private method: Used to visit a single neuron and create the corresponding global as well as local scopes.
:return: a single neuron.
:rtype: ast_neuron
"""
# set current processed neuron
Logger.set_current_neuron(node)
code, message = Messages.get_start_building_symbol_table()
Logger.log_message(neuron=node, code=code, error_position=node.get_source_position(),
message=message, log_level=LoggingLevel.INFO)
# before starting the work on the neuron, make everything which was implicit explicit
# but if we have a model without an equations block, just skip this step
if node.get_equations_blocks() is not None:
make_implicit_odes_explicit(node.get_equations_blocks())
scope = Scope(scope_type=ScopeType.GLOBAL, source_position=node.get_source_position())
node.update_scope(scope)
node.get_body().update_scope(scope)
# now first, we add all predefined elements to the scope
variables = PredefinedVariables.get_variables()
functions = PredefinedFunctions.get_function_symbols()
types = PredefinedTypes.get_types()
for symbol in variables.keys():
node.get_scope().add_symbol(variables[symbol])
for symbol in functions.keys():
node.get_scope().add_symbol(functions[symbol])
for symbol in types.keys():
node.get_scope().add_symbol(types[symbol])
def visit_neuron(self, node):
"""
Private method: Used to visit a single neuron and create the corresponding global as well as local scopes.
:return: a single neuron.
:rtype: ast_neuron
"""
# set current processed neuron
Logger.set_current_neuron(node)
code, message = Messages.get_start_building_symbol_table()
Logger.log_message(neuron=node,
code=code,
error_position=node.get_source_position(),
message=message,
log_level=LoggingLevel.INFO)
scope = Scope(scope_type=ScopeType.GLOBAL,
source_position=node.get_source_position())
node.update_scope(scope)
node.get_body().update_scope(scope)
# now first, we add all predefined elements to the scope
variables = PredefinedVariables.get_variables()
functions = PredefinedFunctions.get_function_symbols()
types = PredefinedTypes.get_types()
for symbol in variables.keys():
node.get_scope().add_symbol(variables[symbol])
for symbol in functions.keys():
node.get_scope().add_symbol(functions[symbol])
for symbol in types.keys():
node.get_scope().add_symbol(types[symbol])