def __init__(self, mat_file='', filter=None):
"""
Loads in mat-file, extracts given variables in filter (time always included)
and converts lists of values into numpy arrays.
These are stored in result as:
{{name1: array([values1])}, ..., {nameN: array([valuesN])}}
"""
self.result = {}
fileName, fileExtension = os.path.splitext(mat_file)
if fileExtension.lower() == '.mat':
# MatLab result format Dymola or OpenModelica
mat_converter = MatFile2Dict(mat_file, filter, False)
result_lists = mat_converter.get_results()
# convert lists into numpy arrays
for item in result_lists.iteritems():
self.result.update({item[0]: np.array(item[1])})
elif fileExtension.lower() == '.txt':
# Text result format JModelica
# TODO: this is a temporary solution
#set PYTHONPATH=C:\JModelica.org-1.12\install\Python
#set JMODELICA_HOME=C:\JModelica.org-1.12\install
#set IPOPT_HOME=C:\JModelica.org-1.12\Ipopt-MUMPS
#set MINGW_HOME=C:\JModelica.org-1.12\MinGW
#set CPPAD_HOME=%JMODELICA_HOME%\ThirdParty\CppAD
#set JAVA_HOME=C:\JModelica.org-1.12\Java\jre7
#set SEPARATE_PROCESS_JVM=C:\JModelica.org-1.12\Java\jre7
#set JPYPE_JVM=C:\JModelica.org-1.12\Java\jre7-i586\bin\client\jvm.dll
#set SUNDIALS_HOME=C:\JModelica.org-1.12\install\ThirdParty\Sundials
#set PATH=%PATH%;C:\JModelica.org-1.12\MinGW\bin;C:\JModelica.org-1.12\Java\jre7\bin
os.environ['JMODELICA_HOME'] = r'C:\JModelica.org-1.12\install'
os.environ['MINGW_HOME'] = r'C:\JModelica.org-1.12\MinGW'
os.environ['JPYPE_JVM'] = r'C:\JModelica.org-1.12\Java\jre7-i586\bin\client\jvm.dll'
sys.path.append(r'C:\JModelica.org-1.12\install\Python')
sys.path.append(r'C:\Python27\Lib\site-packages')
import pyjmi.jmi
print mat_file
res = pyjmi.jmi.ResultDymolaTextual(mat_file)
for name in res.name:
#print name
self.result.update({str(name): res.get_variable_data(name).x})
self.time = self.result['time']
def __init__(self, mat_file='', variable_filter=None):
"""
Loads in mat-file, extracts given variables in variable_filter (time always included)
and converts lists of values into numpy arrays.
These are stored in result as:
{{name1: array([values1])}, ..., {nameN: array([valuesN])}}
"""
mat_converter = MatFile2Dict(mat_file, variable_filter, False)
result_lists = mat_converter.get_results()
# convert lists into numpy arrays
self.result = {}
for item in result_lists.iteritems():
self.result.update({item[0]: np.array(item[1])})
self.time = self.result['time']
def run_simulation(self, variable_filter=None, gather_desc=False):
"""
Simulates the model and returns with the two dictionaries;
first one with parameters(constants) and second one with variables .
Filter should be a list of strings with names of variables/parameters
to include. If None all are returned.
"""
if self.tool.simulate_model():
result_file = self.tool.result_mat
mat_converter = MatFile2Dict(result_file, variable_filter,
gather_desc)
result = mat_converter.get_results()
desc = None
if gather_desc:
desc = mat_converter.get_descriptions()
return result, desc
else:
return None, None