def test_InitialEquilibrium_fail_bad_eqn(self):
obj = EquationSolver()
obj.RunEquationReduction = False
# By forcing 't' into the variable list, no automatic creation of time variables
obj.ParseString("""
x=foo
exogenous
t=[10.]*20
MaxTime=3""")
obj.ExtractVariableList()
obj.SetInitialConditions()
Parameters.InitialEquilbriumMaxTime = 3
obj.MaxIterations = 2
with self.assertRaises(NameError):
obj.CalculateInitialSteadyState()
def test_SolveStep_3(self):
obj = EquationSolver()
obj.RunEquationReduction = False
# By forcing 't' into the variable list, no automatic creation of time variables
obj.ParseString("""
x=t
z=x(k-1)
exogenous
t=[10.]*20
MaxTime=3""")
obj.ExtractVariableList()
obj.SetInitialConditions()
obj.MaxIterations = 0
with self.assertRaises(ConvergenceError):
obj.SolveStep(1)
def test_FailLog0_maxiter(self):
obj = EquationSolver()
obj.RunEquationReduction = False
# This equation will initially have a divide by zero error; the algorithm will step over that.
# This is because the initial guess for Z = 0.
# This test is used to hit the case where we do not converge
obj.ParseString("""
z = t
y = z
w = y
x = log10(0)
exogenous
t=[10., 11., 12.]
MaxTime=2""")
obj.ExtractVariableList()
obj.SetInitialConditions()
obj.MaxIterations = 1
#obj.SolveStep(1)
with self.assertRaises(ValueError):
obj.SolveStep(1)
