def test_init__invalid_penalty_function_type(self, example_decision_variables, example_constraints,
invalid_penalty_function, example_objective_function,
optimization_type):
"""
Test that during initialization of 'OptimizationProblem' will be raised TypeError if one of parameters
has invalid type.
:param example_decision_variables: Example value of 'decision_variables' param.
:param example_constraints: Example value of 'constraints' param.
:param invalid_penalty_function: Value of 'penalty_function' param of invalid type.
:param example_objective_function: Example value of 'objective_function' param.
:param optimization_type: Example value of 'optimization_type' param.
"""
with pytest.raises(TypeError):
OptimizationProblem.__init__(self=self.mock_optimization_problem_object,
decision_variables=example_decision_variables,
constraints=example_constraints, penalty_function=invalid_penalty_function,
objective_function=example_objective_function,
optimization_type=optimization_type)
def test_init__invalid_decision_variables_data_1(self, invalid_decision_variables__keys_not_str,
example_constraints, example_penalty_function,
example_objective_function, optimization_type):
"""
Test that during initialization of 'OptimizationProblem' will be raised ValueError if one of parameters
contains valid data.
:param invalid_decision_variables__keys_not_str: Invalid value of 'decision_variables' param (keys are not str type).
:param example_constraints: Example value of 'constraints' param.
:param example_penalty_function: Example value of 'penalty_function' param.
:param example_objective_function: Example value of 'objective_function' param.
:param optimization_type: Example value of 'optimization_type' param.
"""
with pytest.raises(ValueError):
OptimizationProblem.__init__(self=self.mock_optimization_problem_object,
decision_variables=invalid_decision_variables__keys_not_str,
constraints=example_constraints, penalty_function=example_penalty_function,
objective_function=example_objective_function,
optimization_type=optimization_type)
def test_init__valid_input(self, example_decision_variables, example_constraints, example_penalty_function,
example_objective_function, optimization_type):
"""
Test for initialization of 'OptimizationProblem' with valid parameters values.
:param example_decision_variables: Example value of 'decision_variables' param.
:param example_constraints: Example value of 'constraints' param.
:param example_penalty_function: Example value of 'penalty_function' param.
:param example_objective_function: Example value of 'objective_function' param.
:param optimization_type: Example value of 'optimization_type' param.
"""
OptimizationProblem.__init__(self=self.mock_optimization_problem_object,
decision_variables=example_decision_variables, constraints=example_constraints,
penalty_function=example_penalty_function,
objective_function=example_objective_function, optimization_type=optimization_type)
assert self.mock_optimization_problem_object.decision_variables == example_decision_variables
assert self.mock_optimization_problem_object.constraints == example_constraints
assert self.mock_optimization_problem_object.penalty_function == example_penalty_function
assert self.mock_optimization_problem_object.objective_function == example_objective_function
assert isinstance(self.mock_optimization_problem_object.optimization_type, OptimizationType)
def test_get_log_data(self):
"""
Tests that 'get_log_data' method calls 'log_function_code' function and returns dictionary with certain keys.
"""
log_data = OptimizationProblem.get_log_data(self=self.mock_optimization_problem_object)
assert isinstance(log_data, dict)
assert "optimization_type" in log_data
assert "decision_variables" in log_data
assert "constraints" in log_data
assert "penalty_function" in log_data
assert "objective_function" in log_data
self.mock_log_function_code.assert_called()