def test_invalid_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__), 'invalid')), 'CoCoIllegalExpression.nestml')) self.assertEqual(len(Logger.get_all_messages_of_level_and_or_neuron(model.get_neuron_list()[0], LoggingLevel.ERROR)), 6)
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_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_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__), 'valid')), 'CoCoOdeCorrectlyTyped.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_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_invalid_convolve_correctly_parameterized(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')), 'CoCoConvolveNotCorrectlyParametrized.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_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_invalid_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__), 'invalid')), 'CoCoNoOrderOfEquations.nestml')) self.assertEqual(len( Logger.get_all_messages_of_level_and_or_node(model.get_neuron_list()[0], LoggingLevel.ERROR)), 2)
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_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_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_invalid_variable_redeclaration(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')), 'CoCoVariableRedeclared.nestml')) self.assertEqual(len( Logger.get_all_messages_of_level_and_or_node(model.get_neuron_list()[0], LoggingLevel.ERROR)), 1)
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_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_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_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_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_vector_parameter_size(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')), 'CoCoVectorDeclarationSize.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_compound_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')), 'CompoundOperatorWithDifferentButCompatibleUnits.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_invalid_vector_in_non_vector_declaration_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__), 'invalid')), 'CoCoVectorInNonVectorDeclaration.nestml')) self.assertEqual(len( Logger.get_all_messages_of_level_and_or_neuron(model.get_neuron_list()[0], LoggingLevel.ERROR)), 1)
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)), 4)
def test_valid_integrate_odes_called_if_equations_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')), 'CoCoIntegrateOdesCalledIfEquationsDefined.nestml')) self.assertEqual(len( Logger.get_all_messages_of_level_and_or_node(model.get_neuron_list()[0], LoggingLevel.ERROR)), 0)
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_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__), 'invalid')), 'CoCoInlineExpressionWithSeveralLhs.nestml')) assert model is None
def test_expression_after_magnitude_conversion_in_direct_assignment(self): Logger.set_logging_level(LoggingLevel.NO) model = ModelParser.parse_model( os.path.join(os.path.realpath(os.path.join(os.path.dirname(__file__), 'resources')), 'DirectAssignmentWithDifferentButCompatibleUnits.nestml')) printed_rhs_expression = print_rhs_of_first_assignment_in_update_block(model) self.assertEqual(printed_rhs_expression, '1000.0 * (10*V)')
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_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)