def test_valid_element_in_same_line(self):
Logger.set_logging_level(LoggingLevel.INFO)
model = ModelParser.parse_model(
os.path.join(os.path.realpath(os.path.join(os.path.dirname(__file__), 'valid')),
'CoCoElementInSameLine.nestml'))
self.assertEqual(len(
Logger.get_all_messages_of_level_and_or_node(model.get_neuron_list()[0], LoggingLevel.ERROR)), 0)
def test_invalid_element_not_defined_in_scope(self):
Logger.set_logging_level(LoggingLevel.INFO)
model = ModelParser.parse_model(
os.path.join(os.path.realpath(os.path.join(os.path.dirname(__file__), 'invalid')),
'CoCoVariableNotDefined.nestml'))
self.assertEqual(len(Logger.get_all_messages_of_level_and_or_node(model.get_neuron_list()[0],
LoggingLevel.ERROR)), 5)
def test_invalid_ode_correctly_typed(self):
Logger.set_logging_level(LoggingLevel.INFO)
model = ModelParser.parse_model(
os.path.join(os.path.realpath(os.path.join(os.path.dirname(__file__), 'invalid')),
'CoCoOdeIncorrectlyTyped.nestml'))
self.assertTrue(len(Logger.get_all_messages_of_level_and_or_node(model.get_neuron_list()[0],
LoggingLevel.ERROR)) > 0)
def test_valid_continuous_input_ports_not_specified(self):
Logger.set_logging_level(LoggingLevel.INFO)
model = ModelParser.parse_model(
os.path.join(os.path.realpath(os.path.join(os.path.dirname(__file__), 'valid')),
'CoCoContinuousInputPortQualifierSpecified.nestml'))
self.assertEqual(len(
Logger.get_all_messages_of_level_and_or_node(model.get_neuron_list()[0], LoggingLevel.ERROR)), 0)
def test_invalid_current_buffers_not_specified_with_keywords(self):
Logger.set_logging_level(LoggingLevel.INFO)
model = ModelParser.parse_model(
os.path.join(os.path.realpath(os.path.join(os.path.dirname(__file__), 'invalid')),
'CoCoCurrentBufferQualifierSpecified.nestml'))
self.assertEqual(len(
Logger.get_all_messages_of_level_and_or_node(model.get_neuron_list()[0], LoggingLevel.ERROR)), 1)
def test_valid_no_nest_collision(self):
Logger.set_logging_level(LoggingLevel.INFO)
model = ModelParser.parse_model(
os.path.join(os.path.realpath(os.path.join(os.path.dirname(__file__), 'valid')),
'CoCoNestNamespaceCollision.nestml'))
self.assertEqual(len(
Logger.get_all_messages_of_level_and_or_node(model.get_neuron_list()[0], LoggingLevel.ERROR)), 0)
def test_valid_order_of_equations_correct(self):
Logger.set_logging_level(LoggingLevel.INFO)
model = ModelParser.parse_model(
os.path.join(os.path.realpath(os.path.join(os.path.dirname(__file__), 'valid')),
'CoCoNoOrderOfEquations.nestml'))
self.assertEqual(len(
Logger.get_all_messages_of_level_and_or_node(model.get_neuron_list()[0], LoggingLevel.ERROR)), 0)
def test_valid_numerator_of_unit_one(self):
Logger.set_logging_level(LoggingLevel.INFO)
model = ModelParser.parse_model(
os.path.join(os.path.realpath(os.path.join(os.path.dirname(__file__), 'valid')),
'CoCoUnitNumeratorNotOne.nestml'))
self.assertEqual(len(
Logger.get_all_messages_of_level_and_or_node(model.get_neuron_list()[0], LoggingLevel.ERROR)), 0)
def test_valid_no_values_assigned_to_input_ports(self):
Logger.set_logging_level(LoggingLevel.INFO)
model = ModelParser.parse_model(
os.path.join(os.path.realpath(os.path.join(os.path.dirname(__file__), 'valid')),
'CoCoValueAssignedToInputPort.nestml'))
self.assertEqual(len(
Logger.get_all_messages_of_level_and_or_node(model.get_neuron_list()[0], LoggingLevel.ERROR)), 0)
def test_valid_inline_expression_has_several_lhs(self):
Logger.set_logging_level(LoggingLevel.INFO)
model = ModelParser.parse_model(
os.path.join(os.path.realpath(os.path.join(os.path.dirname(__file__), 'valid')),
'CoCoInlineExpressionWithSeveralLhs.nestml'))
self.assertEqual(len(
Logger.get_all_messages_of_level_and_or_node(model.get_neuron_list()[0], LoggingLevel.ERROR)), 0)
def test_valid_function_unique_and_defined(self):
Logger.set_logging_level(LoggingLevel.INFO)
model = ModelParser.parse_model(
os.path.join(os.path.realpath(os.path.join(os.path.dirname(__file__), 'valid')),
'CoCoFunctionNotUnique.nestml'))
self.assertEqual(
len(Logger.get_all_messages_of_level_and_or_node(model.get_neuron_list()[0], LoggingLevel.ERROR)), 0)
def test_valid_redundant_input_port_keywords_detected(self):
Logger.set_logging_level(LoggingLevel.INFO)
model = ModelParser.parse_model(
os.path.join(os.path.realpath(os.path.join(os.path.dirname(__file__), 'valid')),
'CoCoInputPortWithRedundantTypes.nestml'))
self.assertEqual(len(
Logger.get_all_messages_of_level_and_or_node(model.get_neuron_list()[0], LoggingLevel.ERROR)), 0)
def test_valid_parameters_assigned_only_in_parameters_block(self):
Logger.set_logging_level(LoggingLevel.INFO)
model = ModelParser.parse_model(
os.path.join(os.path.realpath(os.path.join(os.path.dirname(__file__), 'valid')),
'CoCoParameterAssignedOutsideBlock.nestml'))
self.assertEqual(len(
Logger.get_all_messages_of_level_and_or_node(model.get_neuron_list()[0], LoggingLevel.ERROR)), 0)
def test_valid_function_with_wrong_arg_number_detected(self):
Logger.set_logging_level(LoggingLevel.INFO)
model = ModelParser.parse_model(
os.path.join(os.path.realpath(os.path.join(os.path.dirname(__file__), 'valid')),
'CoCoFunctionCallNotConsistentWrongArgNumber.nestml'))
self.assertEqual(len(
Logger.get_all_messages_of_level_and_or_node(model.get_neuron_list()[0], LoggingLevel.ERROR)), 0)
def test_valid_convolve_correctly_defined(self):
Logger.set_logging_level(LoggingLevel.INFO)
model = ModelParser.parse_model(
os.path.join(os.path.realpath(os.path.join(os.path.dirname(__file__), 'valid')),
'CoCoConvolveNotCorrectlyProvided.nestml'))
self.assertEqual(len(
Logger.get_all_messages_of_level_and_or_node(model.get_neuron_list()[0], LoggingLevel.ERROR)), 0)
def test_invalid_vector_parameter_declaration(self):
Logger.set_logging_level(LoggingLevel.INFO)
model = ModelParser.parse_model(
os.path.join(os.path.realpath(os.path.join(os.path.dirname(__file__), 'invalid')),
'CoCoVectorParameterDeclaration.nestml'))
self.assertEqual(len(
Logger.get_all_messages_of_level_and_or_node(model.get_neuron_list()[0], LoggingLevel.ERROR)), 1)
def test_valid_incorrect_return_stmt_detected(self):
Logger.set_logging_level(LoggingLevel.INFO)
model = ModelParser.parse_model(
os.path.join(os.path.realpath(os.path.join(os.path.dirname(__file__), 'valid')),
'CoCoIncorrectReturnStatement.nestml'))
self.assertEqual(len(
Logger.get_all_messages_of_level_and_or_node(model.get_neuron_list()[0], LoggingLevel.ERROR)), 0)
def test_valid_ode_vars_outside_init_block_detected(self):
Logger.set_logging_level(LoggingLevel.INFO)
model = ModelParser.parse_model(
os.path.join(os.path.realpath(os.path.join(os.path.dirname(__file__), 'valid')),
'CoCoOdeVarNotInInitialValues.nestml'))
self.assertEqual(len(
Logger.get_all_messages_of_level_and_or_node(model.get_neuron_list()[0], LoggingLevel.ERROR)), 0)
def test_valid_init_values_have_rhs_and_ode(self):
Logger.set_logging_level(LoggingLevel.INFO)
model = ModelParser.parse_model(
os.path.join(os.path.realpath(os.path.join(os.path.dirname(__file__), 'valid')),
'CoCoInitValuesWithoutOde.nestml'))
self.assertEqual(len(
Logger.get_all_messages_of_level_and_or_node(model.get_neuron_list()[0], LoggingLevel.WARNING)), 2)
def test_invalid_each_block_unique(self):
Logger.set_logging_level(LoggingLevel.INFO)
model = ModelParser.parse_model(
os.path.join(os.path.realpath(os.path.join(os.path.dirname(__file__), 'invalid')),
'CoCoEachBlockUnique.nestml'))
self.assertEqual(len(
Logger.get_all_messages_of_level_and_or_node(model.get_neuron_list()[0], LoggingLevel.ERROR)), 2)
def test_valid_spike_input_port_without_datatype(self):
Logger.set_logging_level(LoggingLevel.INFO)
model = ModelParser.parse_model(
os.path.join(os.path.realpath(os.path.join(os.path.dirname(__file__), 'valid')),
'CoCoSpikeInputPortWithoutType.nestml'))
self.assertEqual(len(
Logger.get_all_messages_of_level_and_or_node(model.get_neuron_list()[0], LoggingLevel.ERROR)), 0)
def test_valid_expression_correctly_typed(self):
Logger.set_logging_level(LoggingLevel.INFO)
model = ModelParser.parse_model(
os.path.join(os.path.realpath(os.path.join(os.path.dirname(__file__), 'valid')),
'CoCoIllegalExpression.nestml'))
self.assertEqual(len(
Logger.get_all_messages_of_level_and_or_node(model.get_neuron_list()[0], LoggingLevel.ERROR)), 0)
def test_invalid_output_port_defined_if_emit_call(self):
"""test that an error is raised when the emit_spike() function is called by the neuron, but a spiking output port is not defined"""
Logger.set_logging_level(LoggingLevel.INFO)
model = ModelParser.parse_model(
os.path.join(os.path.realpath(os.path.join(os.path.dirname(__file__), 'invalid')),
'CoCoOutputPortDefinedIfEmitCall-2.nestml'))
self.assertTrue(len(Logger.get_all_messages_of_level_and_or_node(model.get_neuron_list()[0],
LoggingLevel.ERROR)) > 0)
def test_valid_output_port_defined_if_emit_call(self):
"""test that no error is raised when the output block is missing, but not emit_spike() functions are called"""
Logger.set_logging_level(LoggingLevel.INFO)
model = ModelParser.parse_model(
os.path.join(os.path.realpath(os.path.join(os.path.dirname(__file__), 'valid')),
'CoCoOutputPortDefinedIfEmitCall.nestml'))
self.assertEqual(len(
Logger.get_all_messages_of_level_and_or_node(model.get_neuron_list()[0], LoggingLevel.ERROR)), 0)
def test_variable_with_same_name_as_unit(self):
Logger.set_logging_level(LoggingLevel.NO)
model = ModelParser.parse_model(
os.path.join(os.path.realpath(os.path.join(os.path.dirname(__file__), 'valid')),
'CoCoVariableWithSameNameAsUnit.nestml'))
self.assertEqual(
len(Logger.get_all_messages_of_level_and_or_node(model.get_neuron_list()[0], LoggingLevel.WARNING)),
3)
def test_valid_co_co_priorities_correctly_specified(self):
"""
"""
Logger.set_logging_level(LoggingLevel.INFO)
model = ModelParser.parse_model(
os.path.join(os.path.realpath(os.path.join(os.path.dirname(__file__), 'valid')),
'CoCoPrioritiesCorrectlySpecified.nestml'))
self.assertEqual(len(
Logger.get_all_messages_of_level_and_or_node(model.get_synapse_list()[0], LoggingLevel.ERROR)), 0)
def test_valid_co_co_resolution_legally_used(self):
"""
"""
Logger.set_logging_level(LoggingLevel.INFO)
model = ModelParser.parse_model(
os.path.join(os.path.realpath(os.path.join(os.path.dirname(__file__), 'valid')),
'CoCoResolutionLegallyUsed.nestml'))
self.assertEqual(len(
Logger.get_all_messages_of_level_and_or_node(model.get_synapse_list()[0], LoggingLevel.ERROR)), 0)
def test_random_number_generators(self):
model = ModelParser.parse_model(
os.path.join(
os.path.realpath(
os.path.join(os.path.dirname(__file__), 'resources')),
'random_number_generators_test.nestml'))
self.assertEqual(
len(
Logger.get_all_messages_of_level_and_or_node(
model.get_neuron_list()[0], LoggingLevel.ERROR)), 0)
def test_invalid_element_defined_after_usage(self):
model = ModelParser.parse_model(
os.path.join(
os.path.realpath(
os.path.join(os.path.dirname(__file__), 'invalid')),
'CoCoVariableDefinedAfterUsage.nestml'))
self.assertEqual(
len(
Logger.get_all_messages_of_level_and_or_node(
model.get_neuron_list()[0], LoggingLevel.ERROR)), 1)
def test_invalid_coco_state_variables_initialized(self):
"""
Test that the CoCo condition is applicable for all the variables in the state block not initialized
"""
Logger.set_logging_level(LoggingLevel.INFO)
model = ModelParser.parse_model(
os.path.join(os.path.realpath(os.path.join(os.path.dirname(__file__), 'invalid')),
'CoCoStateVariablesInitialized.nestml'))
self.assertEqual(len(
Logger.get_all_messages_of_level_and_or_node(model.get_neuron_list()[0], LoggingLevel.ERROR)), 2)
