def execute(self):
"""
The .exe executable is run to obtain the simulation result of the
OpenModelica model.
"""
etree = lmm.get_etree(self._init_xml)
# Update the sim settings to the element tree
lmm.change_experiment(etree,startTime = self.startTime,
stopTime = self.stopTime,
stepSize = str(self.stepSize),
tolerance = str(self.tolerance),
solver = self.solver)
# Update the parameters to the element tree
prm_dict = {}
for prm_name in self._prm_attrib:
prm_dict[prm_name] = eval("self."+prm_name)
lmm.change_parameter(etree, prm_dict)
# Rebuild _init.xml with the updated element tree
etree.write(self._init_xml)
subprocess.call([self.moFile+'.exe'],shell=True)
# Obtain the result from the result (.mat) file
dd,desc = lmm.load_mat(self.moFile+'_res.mat')
for var_name in self._var_attrib:
vars(self)[var_name] = dd[var_name]
def solve_nonlinear(self, params, unknowns, resids):
"""
The .exe executable is run to obtain the simulation result of the
OpenModelica model.
"""
etree = lmm.get_etree(self._init_xml)
# Update the sim settings to the element tree
lmm.change_experiment(etree,
startTime=params['startTime'],
stopTime=params['stopTime'],
stepSize=str(params['stepSize']),
tolerance=str(params['tolerance']),
solver=params['solver'])
# Update the parameters to the element tree
prm_dict = {}
for prm_name in self._prm_attrib:
print 'PARAMETER: ', prm_name, params[prm_name]
prm_dict[prm_name] = params[prm_name]
lmm.change_parameter(etree, prm_dict)
# Rebuild _init.xml with the updated element tree
etree.write(self._init_xml)
subprocess.call([os.path.join(os.getcwd(), self.class_name)],
shell=True)
# Obtain the result from the result (.mat) file
dd, desc = lmm.load_mat(self.class_name + '_res.mat')
for var_name in self._var_attrib:
print 'dd[' + var_name + '] = ', dd[var_name]
unknowns[var_name] = dd[var_name]
def solve_nonlinear(self, params, unknowns, resids):
"""
The .exe executable is run to obtain the simulation result of the
OpenModelica model.
"""
etree = lmm.get_etree(self._init_xml)
# Update the sim settings to the element tree
lmm.change_experiment(etree,
startTime=params['startTime'],
stopTime=params['stopTime'],
stepSize=str(params['stepSize']),
tolerance=str(params['tolerance']),
solver=params['solver'])
# Update the parameters to the element tree
prm_dict = {}
for prm_name in self._prm_attrib:
print 'PARAMETER: ', prm_name, params[prm_name]
prm_dict[prm_name] = params[prm_name]
lmm.change_parameter(etree, prm_dict)
# Rebuild _init.xml with the updated element tree
etree.write(self._init_xml)
subprocess.call([os.path.join(os.getcwd(), self.class_name)], shell=True)
# Obtain the result from the result (.mat) file
dd, desc = lmm.load_mat(self.class_name + '_res.mat')
for var_name in self._var_attrib:
print 'dd[' + var_name + '] = ', dd[var_name]
unknowns[var_name] = dd[var_name]
def execute(self):
"""
The .exe executable is run to obtain the simulation result of the
OpenModelica model.
"""
etree = lmm.get_etree(self._init_xml)
# Update the sim settings to the element tree
lmm.change_experiment(etree,
startTime=self.startTime,
stopTime=self.stopTime,
stepSize=str(self.stepSize),
tolerance=str(self.tolerance),
solver=self.solver)
# Update the parameters to the element tree
prm_dict = {}
for prm_name in self._prm_attrib:
prm_dict[prm_name] = eval("self." + prm_name)
lmm.change_parameter(etree, prm_dict)
# Rebuild _init.xml with the updated element tree
etree.write(self._init_xml)
subprocess.call([self.moFile + '.exe'], shell=True)
# Obtain the result from the result (.mat) file
dd, desc = lmm.load_mat(self.moFile + '_res.mat')
for var_name in self._var_attrib:
vars(self)[var_name] = dd[var_name]
