def test_get_column(self):
"""
Test the get_column and get_data_matrix.
"""
model_file = os.path.join(get_files_path(), 'Modelica',
'RLC_Circuit.mo')
compile_jmu('RLC_Circuit', model_file)
model = JMUModel('RLC_Circuit.jmu')
res = model.simulate()
assert res.is_negated('resistor1.n.i')
assert res.is_negated('capacitor.n.i')
assert not res.is_variable('sine.freqHz')
dataMatrix = res.data_matrix
col = res.get_column('capacitor.v')
nose.tools.assert_almost_equal(dataMatrix[0, col],
res.initial('capacitor.v'), 5)
nose.tools.assert_almost_equal(dataMatrix[-1, col],
res.final('capacitor.v'), 5)
nose.tools.assert_raises(VariableNotTimeVarying, res.get_column,
'sine.freqHz')
def setUpClass(cls):
curr_dir = os.path.dirname(os.path.abspath(__file__));
mofile = os.path.join(get_files_path(), 'Modelica', 'StaticOptimizationTest.mop')
compile_jmu("StaticOptimizationTest.StaticOptimizationTest2", mofile)
cls.model = JMUModel("StaticOptimizationTest_StaticOptimizationTest2.jmu")
cls.nlp = NLPInitialization(cls.model,stat=1)
cls.ipopt_nlp = InitializationOptimizer(cls.nlp)
def setUpClass(cls):
"""Sets up the class."""
fpath = os.path.join(get_files_path(), 'Modelica', 'CSTR.mop')
cpath = "CSTR.CSTR_Init"
compile_jmu(cpath, fpath,
compiler_options={'state_start_values_fixed':False})
def setUpClass(cls):
curr_dir = os.path.dirname(os.path.abspath(__file__));
mofile = os.path.join(get_files_path(), 'Modelica', 'StaticOptimizationTest.mop')
compile_jmu("StaticOptimizationTest.StaticOptimizationTest2", mofile)
cls.model = JMUModel("StaticOptimizationTest_StaticOptimizationTest2.jmu")
cls.nlp = NLPInitialization(cls.model,stat=1)
cls.ipopt_nlp = InitializationOptimizer(cls.nlp)
def setUpClass(cls):
"""
Compile the test model.
"""
#DAE with disc
fpath_DISC = os.path.join(get_files_path(), 'Modelica',
'IfExpExamples.mo')
cpath_DISC = 'IfExpExamples.IfExpExample2'
fname_DISC = compile_jmu(cpath_DISC, fpath_DISC)
#DAE test model
fpath_DAE = os.path.join(get_files_path(), 'Modelica',
'Pendulum_pack_no_opt.mo')
cpath_DAE = 'Pendulum_pack.Pendulum'
fname_DAE = compile_jmu(cpath_DAE, fpath_DAE)
#DAE with sens
fpath_SENS = os.path.join(get_files_path(), 'Modelica',
'QuadTankSens.mop')
cpath_SENS = 'QuadTankSens'
fname_SENS = compile_jmu(
cpath_SENS,
fpath_SENS,
compiler_options={"enable_variable_scaling": True})
fpath = os.path.join(get_files_path(), 'Modelica', 'DoubleInput.mo')
cpath = 'DoubleInput_Nominal'
fname = compile_jmu(cpath,
fpath,
compiler_options={"enable_variable_scaling": True})
def test_scaling(self):
"""
This tests a simulation when scaling is ON and OFF.
"""
jmu_name = compile_jmu("Englezos652", os.path.join(get_files_path()
,"Modelica","Englezos652.mop"),
compiler_options={"enable_variable_scaling":False})
# Load a model instance into Python
model = JMUModel(jmu_name)
# Get and set the options
opts = model.simulate_options()
opts['IDA_options']['atol'] = 1.0e-9
opts['IDA_options']['rtol'] = 1.0e-9
opts['IDA_options']['sensitivity'] = True
opts['ncp'] = 400
res_no_scale = model.simulate(final_time=1697000, options=opts)
jmu_name = compile_jmu("Englezos652", os.path.join(get_files_path()
,"Modelica","Englezos652.mop"),
compiler_options={"enable_variable_scaling":True})
# Load a model instance into Python
model = JMUModel(jmu_name)
res_with_scale = model.simulate(final_time=1697000, options=opts)
nose.tools.assert_almost_equal(res_with_scale['x1'][-1],
res_no_scale['x1'][-1], 4)
nose.tools.assert_almost_equal(res_with_scale['dx1/dk1'][-1],
res_no_scale['dx1/dk1'][-1], 1)
def setUpClass(cls):
"""
Compile the test model.
"""
#DAE with disc
fpath_DISC = os.path.join(get_files_path(), 'Modelica',
'IfExpExamples.mo')
cpath_DISC = 'IfExpExamples.IfExpExample2'
fname_DISC = compile_jmu(cpath_DISC, fpath_DISC)
#DAE test model
fpath_DAE = os.path.join(get_files_path(), 'Modelica',
'Pendulum_pack_no_opt.mo')
cpath_DAE = 'Pendulum_pack.Pendulum'
fname_DAE = compile_jmu(cpath_DAE, fpath_DAE)
#DAE with sens
fpath_SENS = os.path.join(get_files_path(), 'Modelica',
'QuadTankSens.mop')
cpath_SENS = 'QuadTankSens'
fname_SENS = compile_jmu(cpath_SENS, fpath_SENS, compiler_options={"enable_variable_scaling":True})
fpath = os.path.join(get_files_path(), 'Modelica', 'DoubleInput.mo')
cpath = 'DoubleInput_Nominal'
fname = compile_jmu(cpath, fpath,
compiler_options={"enable_variable_scaling":True})
def test_scaling(self):
"""
This tests a simulation when scaling is ON and OFF.
"""
jmu_name = compile_jmu("Englezos652", os.path.join(get_files_path()
,"Modelica","Englezos652.mop"),
compiler_options={"enable_variable_scaling":False})
# Load a model instance into Python
model = JMUModel(jmu_name)
# Get and set the options
opts = model.simulate_options()
opts['IDA_options']['atol'] = 1.0e-9
opts['IDA_options']['rtol'] = 1.0e-9
opts['IDA_options']['sensitivity'] = True
opts['ncp'] = 400
res_no_scale = model.simulate(final_time=1697000, options=opts)
jmu_name = compile_jmu("Englezos652", os.path.join(get_files_path()
,"Modelica","Englezos652.mop"),
compiler_options={"enable_variable_scaling":True})
# Load a model instance into Python
model = JMUModel(jmu_name)
res_with_scale = model.simulate(final_time=1697000, options=opts)
nose.tools.assert_almost_equal(res_with_scale['x1'][-1],
res_no_scale['x1'][-1], 4)
nose.tools.assert_almost_equal(res_with_scale['dx1/dk1'][-1],
res_no_scale['dx1/dk1'][-1], 1)
def setUpClass(cls):
"""Sets up the test class."""
fpath_daeinit = os.path.join(get_files_path(), 'Modelica',
'DAEInitTest.mo')
cpath_daeinit = "DAEInitTest"
compile_jmu(cpath_daeinit, fpath_daeinit,
compiler_options={'state_start_values_fixed':True, 'variability_propagation':False})
def setUpClass(cls):
"""
Sets up the test class.
"""
fpath = os.path.join(get_files_path(), 'Modelica', 'CSTR.mop')
cpath = "CSTR.CSTR_Init_Optimization"
compile_jmu(cpath, fpath)
def setup(self):
"""
Setup test module. Compile test model (only needs to be done once) and
set log level.
"""
compile_jmu(cpath,
fpath,
compiler_options={'state_start_values_fixed': True})
def test_parameter_alias(self):
""" Test simulate and write to file when model has parameter alias.
(Test so that write to file does not crash.)
"""
model_file = os.path.join(get_files_path(), 'Modelica', 'ParameterAlias.mo')
compile_jmu('ParameterAlias', model_file)
model = JMUModel('ParameterAlias.jmu')
model.simulate()
def setUpClass(cls):
"""Sets up the test class."""
# Compile the stationary initialization model into a JMU
fpath1 = os.path.join(get_files_path(), 'Modelica', 'CSTRLib.mo')
fpath2 = os.path.join(get_files_path(), 'Modelica', 'TestMinMax.mo')
compile_jmu("CSTRLib.Components.Two_CSTRs_stat_init", fpath1)
#compile_jmu("Tests.TestInvalidStart", fpath2)
compile_jmu("TestMinMax.TestGuess", fpath2)
def setUpClass(cls):
"""Sets up the class."""
fpath = os.path.join(get_files_path(), 'Modelica', 'CSTR.mop')
cpath = "CSTR.CSTR_Init"
compile_jmu(cpath,
fpath,
compiler_options={'state_start_values_fixed': False})
def setUpClass(cls):
"""
Sets up the test class.
"""
fpath = os.path.join(get_files_path(), 'Modelica', 'CSTR.mop')
cpath = "CSTR.CSTR_Init_Optimization"
compile_jmu(cpath, fpath)
def setUpClass(cls):
"""Sets up the test class."""
# Compile the stationary initialization model into a JMU
fpath1 = os.path.join(get_files_path(), 'Modelica', 'CSTRLib.mo')
fpath2 = os.path.join(get_files_path(), 'Modelica', 'TestMinMax.mo')
compile_jmu("CSTRLib.Components.Two_CSTRs_stat_init", fpath1)
#compile_jmu("Tests.TestInvalidStart", fpath2)
compile_jmu("TestMinMax.TestGuess", fpath2)
def setUpClass(cls):
"""
Sets up the test class.
"""
fpath = os.path.join(get_files_path(), 'Modelica', 'VDP.mop')
cpath = "VDP_pack.VDP_Opt_Min_Time"
compile_jmu(cpath, fpath, compiler_options={'state_start_values_fixed':True})
def setUpClass(cls):
"""
Compile the test model.
"""
# compile cstr
fpath_cstr = os.path.join(get_files_path(), 'Modelica', 'CSTR.mop')
cpath_cstr = "CSTR.CSTR_Opt"
compile_jmu(cpath_cstr, fpath_cstr,
compiler_options={'state_start_values_fixed':True})
def setUpClass(cls):
"""
Compile the test model.
"""
# compile cstr
fpath_cstr = os.path.join(get_files_path(), 'Modelica', 'CSTR.mop')
cpath_cstr = "CSTR.CSTR_Init"
compile_jmu(cpath_cstr, fpath_cstr,
compiler_options={"enable_variable_scaling":True})
def setUpClass(cls):
"""
Compile the test model.
"""
# compile vdp
fpath_vdp = os.path.join(get_files_path(), 'Modelica', 'VDP.mop')
cpath_vdp = "VDP_pack.VDP_Opt_Min_Time"
compile_jmu(cpath_vdp, fpath_vdp,
compiler_options={'state_start_values_fixed':True})
def setUpClass(cls):
"""
Compile the test model.
"""
# compile cstr
fpath_cstr = os.path.join(get_files_path(), 'Modelica', 'CSTR.mop')
cpath_cstr = "CSTR.CSTR_Init"
compile_jmu(cpath_cstr,
fpath_cstr,
compiler_options={"enable_variable_scaling": True})
def setUpClass(cls):
cls.curr_dir = os.path.dirname(os.path.abspath(__file__));
mofile = os.path.join(get_files_path(), 'Modelica',
'BlockingError.mop')
m = compile_jmu("BlockingInitPack.M_init", mofile)
cls.model = JMUModel(m)
m = compile_jmu("BlockingInitPack.M_Opt",mofile)
cls.opt_model = JMUModel(m)
def setUpClass(cls):
cls.curr_dir = os.path.dirname(os.path.abspath(__file__))
mofile = os.path.join(get_files_path(), 'Modelica',
'BlockingError.mop')
m = compile_jmu("BlockingInitPack.M_init", mofile)
cls.model = JMUModel(m)
m = compile_jmu("BlockingInitPack.M_Opt", mofile)
cls.opt_model = JMUModel(m)
def setUpClass(cls):
"""Sets up the test class."""
fpath_daeinit = os.path.join(get_files_path(), 'Modelica',
'DAEInitTest.mo')
cpath_daeinit = "DAEInitTest"
compile_jmu(cpath_daeinit,
fpath_daeinit,
compiler_options={
'state_start_values_fixed': True,
'variability_propagation': False
})
def test_order_input(self):
"""
This tests that the inputs are sorted in an correct value reference order
when being written to file.
"""
fpath = os.path.join(get_files_path(), 'Modelica', 'OrderInputs.mop')
cpath = 'OptimInputs'
unames = ['u1', 'u_e2', 'u_h3', 'u_c4', 'u_p5']
n = len(unames)
uvalues = [1.,2.,3.,4.,5.]
data = N.array([[0.,1.,2.,3.,4.,5.],
[1.,1.,2.,3.,4.,5.],
[2.,1.,2.,3.,4.,5.]])
inputtuple = (unames,data)
jmu_name = compile_jmu(cpath,fpath)
model = JMUModel(jmu_name)
res = model.simulate(0,2,input=inputtuple)
nose.tools.assert_almost_equal(res["u1"][-1], 1.000000000, 3)
nose.tools.assert_almost_equal(res["u_e2"][-1], 2.00000, 3)
nose.tools.assert_almost_equal(res["u_h3"][-1], 3.00000, 3)
nose.tools.assert_almost_equal(res["u_c4"][-1], 4.000000, 3)
nose.tools.assert_almost_equal(res["u_p5"][-1], 5.000000, 3)
nose.tools.assert_almost_equal(res["T.u1"][-1], 1.000000000, 3)
nose.tools.assert_almost_equal(res["T.u_e2"][-1], 2.00000, 3)
nose.tools.assert_almost_equal(res["T.u_h3"][-1], 3.00000, 3)
nose.tools.assert_almost_equal(res["T.u_c4"][-1], 4.000000, 3)
nose.tools.assert_almost_equal(res["T.u_p5"][-1], 5.000000, 3)
def test_scaling_test_2(self):
"""
This tests a simulation when scaling is ON and there are input variables
that are not used.
"""
jmu_name = compile_jmu("Englezos652_with_input", os.path.join(get_files_path()
,"Modelica","Englezos652.mop"),
compiler_options={"enable_variable_scaling":False})
# Load a model instance into Python
model = JMUModel(jmu_name)
# Get and set the options
opts = model.simulate_options()
opts['IDA_options']['atol'] = 1.0e-6
opts['IDA_options']['rtol'] = 1.0e-6
opts['IDA_options']['sensitivity'] = True
opts['ncp'] = 400
res = model.simulate(0,1697000/3, options=opts)
x1 = res["x1"][-1]
r1 = res["r1"][-1]
u1 = res["u1"][-1]
nose.tools.assert_almost_equal(x1, 0.45537058, 3)
nose.tools.assert_almost_equal(r1, 5.3287e-8, 2)
nose.tools.assert_almost_equal(u1, 0.00000, 3)
def test_time_shift(self):
"""
Test the time shift feature
"""
model_file = os.path.join(get_files_path(), 'Modelica', 'RLC_Circuit.mo')
compile_jmu('RLC_Circuit', model_file)
model = JMUModel('RLC_Circuit.jmu')
res = model.simulate()
time_shifted_fix = res['time'] + 11.
res.result_data.shift_time(11.)
time_shifted = res['time']
assert max(N.abs(time_shifted_fix - time_shifted)) < 1e-6
def test_order_input(self):
"""
This tests that the inputs are sorted in an correct value reference order
when being written to file.
"""
fpath = os.path.join(get_files_path(), 'Modelica', 'OrderInputs.mop')
cpath = 'OptimInputs'
unames = ['u1', 'u_e2', 'u_h3', 'u_c4', 'u_p5']
n = len(unames)
uvalues = [1., 2., 3., 4., 5.]
data = N.array([[0., 1., 2., 3., 4., 5.], [1., 1., 2., 3., 4., 5.],
[2., 1., 2., 3., 4., 5.]])
inputtuple = (unames, data)
jmu_name = compile_jmu(cpath, fpath)
model = JMUModel(jmu_name)
res = model.simulate(0, 2, input=inputtuple)
nose.tools.assert_almost_equal(res["u1"][-1], 1.000000000, 3)
nose.tools.assert_almost_equal(res["u_e2"][-1], 2.00000, 3)
nose.tools.assert_almost_equal(res["u_h3"][-1], 3.00000, 3)
nose.tools.assert_almost_equal(res["u_c4"][-1], 4.000000, 3)
nose.tools.assert_almost_equal(res["u_p5"][-1], 5.000000, 3)
nose.tools.assert_almost_equal(res["T.u1"][-1], 1.000000000, 3)
nose.tools.assert_almost_equal(res["T.u_e2"][-1], 2.00000, 3)
nose.tools.assert_almost_equal(res["T.u_h3"][-1], 3.00000, 3)
nose.tools.assert_almost_equal(res["T.u_c4"][-1], 4.000000, 3)
nose.tools.assert_almost_equal(res["T.u_p5"][-1], 5.000000, 3)
def test_scaling_test_2(self):
"""
This tests a simulation when scaling is ON and there are input variables
that are not used.
"""
jmu_name = compile_jmu(
"Englezos652_with_input",
os.path.join(get_files_path(), "Modelica", "Englezos652.mop"),
compiler_options={"enable_variable_scaling": False})
# Load a model instance into Python
model = JMUModel(jmu_name)
# Get and set the options
opts = model.simulate_options()
opts['IDA_options']['atol'] = 1.0e-6
opts['IDA_options']['rtol'] = 1.0e-6
opts['IDA_options']['sensitivity'] = True
opts['ncp'] = 400
res = model.simulate(0, 1697000 / 3, options=opts)
x1 = res["x1"][-1]
r1 = res["r1"][-1]
u1 = res["u1"][-1]
nose.tools.assert_almost_equal(x1, 0.45537058, 3)
nose.tools.assert_almost_equal(r1, 5.3287e-8, 2)
nose.tools.assert_almost_equal(u1, 0.00000, 3)
def setup_class_base(cls,
mo_file,
class_name,
options={},
format='jmu',
target="me"):
"""
Set up a new test model. Compiles the model.
Call this with proper args from setUpClass().
mo_file - the relative path from the files dir to the .mo file to compile
class_name - the qualified name of the class to simulate
options - a dict of options to set in the compiler, defaults to no options
format - either 'jmu' or 'fmu' depending on which format should be tested
"""
global _model_name
cls.mo_path = os.path.join(get_files_path(), 'Modelica', mo_file)
if format == 'jmu':
_model_name = compile_jmu(class_name,
cls.mo_path,
compiler_options=options)
elif format == 'fmu':
_model_name = compile_fmu(class_name,
cls.mo_path,
compiler_options=options,
target=target)
else:
raise Exception("Format must be either 'jmu' or 'fmu'.")
def setUpClass(cls):
"""
Sets up the test class.
"""
# VDP model
fpath_vdp = os.path.join(get_files_path(),'Modelica','VDP.mop')
cpath_vdp = "VDP_pack.VDP_Opt"
cls.jmu_name = compile_jmu(cpath_vdp, fpath_vdp)
def setUpClass(cls):
"""
Sets up the test class.
"""
# RLC model
fpath_rlc = os.path.join(get_files_path(),'Modelica','RLC_Circuit.mo')
cpath_rlc = "RLC_Circuit"
cls.jmu_name = compile_jmu(cpath_rlc, fpath_rlc, compiler_options={'state_start_values_fixed':True})
def setUpClass(cls):
"""
Sets up the test class.
"""
# RLC model
fpath_rlc = os.path.join(get_files_path(),'Modelica','RLC_Circuit.mo')
cpath_rlc = "RLC_Circuit"
cls.jmu_name = compile_jmu(cpath_rlc, fpath_rlc, compiler_options={'state_start_values_fixed':True})
def setUpClass(cls):
"""
Sets up the test class.
"""
# VDP model
fpath_vdp = os.path.join(get_files_path(),'Modelica','VDP.mop')
cpath_vdp = "VDP_pack.VDP_Opt"
cls.jmu_name = compile_jmu(cpath_vdp, fpath_vdp)
def test_dependent_parameters(self):
""" Test evaluation of dependent parameters. """
path = os.path.join(get_files_path(), 'Modelica', 'DepPar.mo')
jmu_name = compile_jmu('DepPar.DepPar1', path,
compiler_options={'state_start_values_fixed':True})
model = JMUModel(jmu_name)
assert (model.get('p1') == 1.0)
assert (model.get('p2') == 2.0)
assert (model.get('p3') == 6.0)
def test_optimize(self):
""" Test the pyjmi.JMUModel.optimize function using all default parameters. """
fpath_pend = os.path.join(get_files_path(), 'Modelica', 'Pendulum_pack.mop')
cpath_pend = "Pendulum_pack.Pendulum_Opt"
jmu_pend = compile_jmu(cpath_pend, fpath_pend,compiler_options={'state_start_values_fixed':True})
pend = JMUModel(jmu_pend)
res = pend.optimize()
assert N.abs(res.final('cost') - 1.2921683e-01) < 1e-3
def test_optimize(self):
""" Test the pyjmi.JMUModel.optimize function using all default parameters. """
fpath_pend = os.path.join(get_files_path(), 'Modelica', 'Pendulum_pack.mop')
cpath_pend = "Pendulum_pack.Pendulum_Opt"
jmu_pend = compile_jmu(cpath_pend, fpath_pend,compiler_options={'state_start_values_fixed':True})
pend = JMUModel(jmu_pend)
res = pend.optimize()
assert N.abs(res.final('cost') - 1.2921683e-01) < 1e-3
def test_dependent_parameters(self):
""" Test evaluation of dependent parameters. """
path = os.path.join(get_files_path(), 'Modelica', 'DepPar.mo')
jmu_name = compile_jmu('DepPar.DepPar1', path,
compiler_options={'state_start_values_fixed':True})
model = JMUModel(jmu_name)
assert (model.get('p1') == 1.0)
assert (model.get('p2') == 2.0)
assert (model.get('p3') == 6.0)
def test_result(self):
""" Test simulate and write to file when model has parameter alias.
Also tests the methods is_variable and get_column in io.ResultDymolaTextual.
"""
model_file = os.path.join(get_files_path(), 'Modelica', 'ParameterAlias.mo')
compile_jmu('ParameterAlias', model_file)
model = JMUModel('ParameterAlias.jmu')
res = model.simulate()
assert not res.is_variable('p2')
assert not res.is_variable('x')
assert not res.is_variable('p1')
assert res.is_variable('der(y)')
assert res.is_variable('y')
assert res.get_column('der(y)') == 1
assert res.get_column('y') == 2
assert res.get_column('time') == 0
assert res.is_negated('der(y)') == False
assert res.is_negated('y') == False
def test_get_column(self):
"""
Test the get_column and get_data_matrix.
"""
model_file = os.path.join(get_files_path(), 'Modelica', 'RLC_Circuit.mo')
compile_jmu('RLC_Circuit', model_file)
model = JMUModel('RLC_Circuit.jmu')
res = model.simulate()
assert res.is_negated('resistor1.n.i')
assert res.is_negated('capacitor.n.i')
assert not res.is_variable('sine.freqHz')
dataMatrix = res.data_matrix
col = res.get_column('capacitor.v')
nose.tools.assert_almost_equal(dataMatrix[0,col], res.initial('capacitor.v'),5)
nose.tools.assert_almost_equal(dataMatrix[-1,col], res.final('capacitor.v'),5)
nose.tools.assert_raises(VariableNotTimeVarying, res.get_column, 'sine.freqHz')
def test_alias_variables(self):
"""
This tests a simulation when there are alias in the sensitivity parameters.
"""
#DAE with sens
file_name = os.path.join(get_files_path(), 'Modelica',
'SensitivityTests.mop')
model_name = 'SensitivityTests.SensTest1'
jmu_name = compile_jmu(model_name, file_name)
model = JMUModel(jmu_name)
opts = model.simulate_options()
opts['IDA_options']['sensitivity'] = True
res = model.simulate(options=opts)
x1 = res['dx1/da']
#x2 = res['dx2/da']
x3 = res['dx3/da']
x4 = res['dx4/da']
x5 = res['dx5/da']
#nose.tools.assert_almost_equal(x2[-1], 0.000000, 4)
nose.tools.assert_almost_equal(x3[-1], 1.000000, 4)
nose.tools.assert_almost_equal(x4[-1], -1.000000, 4)
nose.tools.assert_almost_equal(x1[-1], x5[-1], 4)
#The same test using continuous writing
jmu_name = 'SensitivityTests_SensTest1.jmu'
model = JMUModel(jmu_name)
opts = model.simulate_options()
opts['IDA_options']['sensitivity'] = True
opts['report_continuously'] = True
res = model.simulate(options=opts)
x1 = res['dx1/da']
#x2 = res['dx2/da']
x3 = res['dx3/da']
x4 = res['dx4/da']
x5 = res['dx5/da']
#nose.tools.assert_almost_equal(x2[-1], 0.000000, 4)
nose.tools.assert_almost_equal(x3[-1], 1.000000, 4)
nose.tools.assert_almost_equal(x4[-1], -1.000000, 4)
nose.tools.assert_almost_equal(x1[-1], x5[-1], 4)
def test_alias_variables(self):
"""
This tests a simulation when there are alias in the sensitivity parameters.
"""
#DAE with sens
file_name = os.path.join(get_files_path(), 'Modelica',
'SensitivityTests.mop')
model_name = 'SensitivityTests.SensTest1'
jmu_name = compile_jmu(model_name, file_name)
model = JMUModel(jmu_name)
opts = model.simulate_options()
opts['IDA_options']['sensitivity'] = True
res = model.simulate(options=opts)
x1 = res['dx1/da']
#x2 = res['dx2/da']
x3 = res['dx3/da']
x4 = res['dx4/da']
x5 = res['dx5/da']
#nose.tools.assert_almost_equal(x2[-1], 0.000000, 4)
nose.tools.assert_almost_equal(x3[-1], 1.000000, 4)
nose.tools.assert_almost_equal(x4[-1], -1.000000,4)
nose.tools.assert_almost_equal(x1[-1], x5[-1], 4)
#The same test using continuous writing
jmu_name = 'SensitivityTests_SensTest1.jmu'
model = JMUModel(jmu_name)
opts = model.simulate_options()
opts['IDA_options']['sensitivity'] = True
opts['report_continuously'] = True
res = model.simulate(options=opts)
x1 = res['dx1/da']
#x2 = res['dx2/da']
x3 = res['dx3/da']
x4 = res['dx4/da']
x5 = res['dx5/da']
#nose.tools.assert_almost_equal(x2[-1], 0.000000, 4)
nose.tools.assert_almost_equal(x3[-1], 1.000000, 4)
nose.tools.assert_almost_equal(x4[-1], -1.000000,4)
nose.tools.assert_almost_equal(x1[-1], x5[-1], 4)
def test_initialize_with_solverargs(self):
""" Test the pyjmi.JMUModel.initialize function using all default parameters. """
fpath_pend = os.path.join(get_files_path(), 'Modelica', 'Pendulum_pack.mop')
cpath_pend = "Pendulum_pack.Pendulum"
jmu_pend = compile_jmu(cpath_pend, fpath_pend)
pend = JMUModel(jmu_pend)
res = pend.initialize(options={'IPOPT_options':{'max_iter':1000}})
assert N.abs(res.final('theta') - 0.1) < 1e-3
assert N.abs(res.final('dtheta') - 0.) < 1e-3
assert N.abs(res.final('x') - 0) < 1e-3
assert N.abs(res.final('dx') - 0) < 1e-3
assert N.abs(res.final('der(theta)') - 0) < 1e-3
assert N.abs(res.final('der(dtheta)') - 0.09983341) < 1e-3
assert N.abs(res.final('der(x)') - 0) < 1e-3
assert N.abs(res.final('der(dx)') - 0) < 1e-3
def test_initialize_with_solverargs(self):
""" Test the pyjmi.JMUModel.initialize function using all default parameters. """
fpath_pend = os.path.join(get_files_path(), 'Modelica', 'Pendulum_pack.mop')
cpath_pend = "Pendulum_pack.Pendulum"
jmu_pend = compile_jmu(cpath_pend, fpath_pend)
pend = JMUModel(jmu_pend)
res = pend.initialize(options={'IPOPT_options':{'max_iter':1000}})
assert N.abs(res.final('theta') - 0.1) < 1e-3
assert N.abs(res.final('dtheta') - 0.) < 1e-3
assert N.abs(res.final('x') - 0) < 1e-3
assert N.abs(res.final('dx') - 0) < 1e-3
assert N.abs(res.final('der(theta)') - 0) < 1e-3
assert N.abs(res.final('der(dtheta)') - 0.09983341) < 1e-3
assert N.abs(res.final('der(x)') - 0) < 1e-3
assert N.abs(res.final('der(dx)') - 0) < 1e-3
def test_simulate_initialize_arg(self):
""" Test pyjmi.JMUModel.simulate alg_arg 'initialize'. """
# This test is built on that simulation without initialization fails.
# Since simulation without initialization fails far down in Sundials
# no "proper" exception is thrown which means that I can only test that
# the general Exception is returned which means that the test is pretty
# unspecific (the test will pass for every type of error thrown). Therefore,
# I first test that running the simulation with default settings succeeds, so
# at least one knows that the error has with initialization to do.
name = compile_jmu(self.cpath_minit, self.fpath_minit)
model = JMUModel(name)
nose.tools.ok_(model.simulate())
model = JMUModel(name)
nose.tools.assert_raises(Exception,
model.simulate,
options={'initialize':False})
def test_simulate_initialize_arg(self):
""" Test pyjmi.JMUModel.simulate alg_arg 'initialize'. """
# This test is built on that simulation without initialization fails.
# Since simulation without initialization fails far down in Sundials
# no "proper" exception is thrown which means that I can only test that
# the general Exception is returned which means that the test is pretty
# unspecific (the test will pass for every type of error thrown). Therefore,
# I first test that running the simulation with default settings succeeds, so
# at least one knows that the error has with initialization to do.
name = compile_jmu(self.cpath_minit, self.fpath_minit)
model = JMUModel(name)
nose.tools.ok_(model.simulate())
model = JMUModel(name)
nose.tools.assert_raises(Exception,
model.simulate,
options={'initialize':False})
def test_double_input(self):
"""
This tests double input.
"""
fpath = os.path.join(get_files_path(), 'Modelica', 'DoubleInput.mo')
cpath = 'DoubleInput'
# compile VDP
fname = compile_jmu(cpath, fpath,
compiler_options={'state_start_values_fixed':True})
# Load the dynamic library and XML data
dInput = JMUModel(fname)
t = N.linspace(0.,10.,100)
u1 = N.cos(t)
u2 = N.sin(t)
u_traj = N.transpose(N.vstack((t,u1,u2)))
res = dInput.simulate(final_time=10, input=(['u1','u2'],u_traj))
nose.tools.assert_almost_equal(res.initial('u1'), 1.000000000, 3)
nose.tools.assert_almost_equal(res.initial('u2'), 0.000000000, 3)
nose.tools.assert_almost_equal(res.final('u1'), -0.839071529, 3)
nose.tools.assert_almost_equal(res.final('u2'), -0.544021110, 3)
#TEST REVERSE ORDER OF INPUT
# Load the dynamic library and XML data
dInput = JMUModel(fname)
t = N.linspace(0.,10.,100)
u1 = N.cos(t)
u2 = N.sin(t)
u_traj = N.transpose(N.vstack((t,u2,u1)))
res = dInput.simulate(final_time=10, input=(['u2','u1'],u_traj))
nose.tools.assert_almost_equal(res.initial('u1'), 1.000000000, 3)
nose.tools.assert_almost_equal(res.initial('u2'), 0.000000000, 3)
nose.tools.assert_almost_equal(res.final('u1'), -0.839071529, 3)
nose.tools.assert_almost_equal(res.final('u2'), -0.544021110, 3)
def test_double_input(self):
"""
This tests double input.
"""
fpath = os.path.join(get_files_path(), 'Modelica', 'DoubleInput.mo')
cpath = 'DoubleInput'
# compile VDP
fname = compile_jmu(
cpath, fpath, compiler_options={'state_start_values_fixed': True})
# Load the dynamic library and XML data
dInput = JMUModel(fname)
t = N.linspace(0., 10., 100)
u1 = N.cos(t)
u2 = N.sin(t)
u_traj = N.transpose(N.vstack((t, u1, u2)))
res = dInput.simulate(final_time=10, input=(['u1', 'u2'], u_traj))
nose.tools.assert_almost_equal(res.initial('u1'), 1.000000000, 3)
nose.tools.assert_almost_equal(res.initial('u2'), 0.000000000, 3)
nose.tools.assert_almost_equal(res.final('u1'), -0.839071529, 3)
nose.tools.assert_almost_equal(res.final('u2'), -0.544021110, 3)
#TEST REVERSE ORDER OF INPUT
# Load the dynamic library and XML data
dInput = JMUModel(fname)
t = N.linspace(0., 10., 100)
u1 = N.cos(t)
u2 = N.sin(t)
u_traj = N.transpose(N.vstack((t, u2, u1)))
res = dInput.simulate(final_time=10, input=(['u2', 'u1'], u_traj))
nose.tools.assert_almost_equal(res.initial('u1'), 1.000000000, 3)
nose.tools.assert_almost_equal(res.initial('u2'), 0.000000000, 3)
nose.tools.assert_almost_equal(res.final('u1'), -0.839071529, 3)
nose.tools.assert_almost_equal(res.final('u2'), -0.544021110, 3)
def test_double_input_with_function(self):
"""
This tests double input with function.
"""
fpath = os.path.join(get_files_path(), 'Modelica', 'DoubleInput.mo')
cpath = 'DoubleInput'
# compile VDP
fname = compile_jmu(cpath, fpath,
compiler_options={'state_start_values_fixed':True})
# Load the dynamic library and XML data
dInput = JMUModel(fname)
def func(t):
return N.array([N.cos(t),N.sin(t)])
res = dInput.simulate(final_time=10, input=(['u1','u2'],func))
nose.tools.assert_almost_equal(res.initial('u1'), 1.000000000, 3)
nose.tools.assert_almost_equal(res.initial('u2'), 0.000000000, 3)
nose.tools.assert_almost_equal(res.final('u1'), -0.839071529, 3)
nose.tools.assert_almost_equal(res.final('u2'), -0.544021110, 3)
#TEST REVERSE ORDER OF INPUT
# Load the dynamic library and XML data
dInput = JMUModel(fname)
def func(t):
return [N.sin(t),N.cos(t)]
res = dInput.simulate(final_time=10, input=(['u2','u1'],func))
nose.tools.assert_almost_equal(res.initial('u1'), 1.000000000, 3)
nose.tools.assert_almost_equal(res.initial('u2'), 0.000000000, 3)
nose.tools.assert_almost_equal(res.final('u1'), -0.839071529, 3)
nose.tools.assert_almost_equal(res.final('u2'), -0.544021110, 3)
def test_double_input_with_function(self):
"""
This tests double input with function.
"""
fpath = os.path.join(get_files_path(), 'Modelica', 'DoubleInput.mo')
cpath = 'DoubleInput'
# compile VDP
fname = compile_jmu(
cpath, fpath, compiler_options={'state_start_values_fixed': True})
# Load the dynamic library and XML data
dInput = JMUModel(fname)
def func(t):
return N.array([N.cos(t), N.sin(t)])
res = dInput.simulate(final_time=10, input=(['u1', 'u2'], func))
nose.tools.assert_almost_equal(res.initial('u1'), 1.000000000, 3)
nose.tools.assert_almost_equal(res.initial('u2'), 0.000000000, 3)
nose.tools.assert_almost_equal(res.final('u1'), -0.839071529, 3)
nose.tools.assert_almost_equal(res.final('u2'), -0.544021110, 3)
#TEST REVERSE ORDER OF INPUT
# Load the dynamic library and XML data
dInput = JMUModel(fname)
def func(t):
return [N.sin(t), N.cos(t)]
res = dInput.simulate(final_time=10, input=(['u2', 'u1'], func))
nose.tools.assert_almost_equal(res.initial('u1'), 1.000000000, 3)
nose.tools.assert_almost_equal(res.initial('u2'), 0.000000000, 3)
nose.tools.assert_almost_equal(res.final('u1'), -0.839071529, 3)
nose.tools.assert_almost_equal(res.final('u2'), -0.544021110, 3)
def setUpClass(clf):
clf.curr_dir = os.path.dirname(os.path.abspath(__file__))
clf.jn = compile_jmu(
'MinTimeInit', clf.curr_dir + '/../files/Modelica/MinTimeInit.mop')
clf.m = JMUModel(clf.jn)
def setup(self):
"""
Setup test module. Compile test model (only needs to be done once) and
set log level.
"""
compile_jmu(cpath, fpath, compiler_options={"state_start_values_fixed": True})
def setUpClass(clf):
clf.curr_dir = os.path.dirname(os.path.abspath(__file__));
clf.jn = compile_jmu('MinTimeInit',clf.curr_dir + '/../files/Modelica/MinTimeInit.mop')
clf.m = JMUModel(clf.jn)