def test_filter_similar_single_result(self):
""" Simdex.get_identical() for Array.mat should return only Array.mat"""
SID_array = self.simdex.get_SID('array')
self.simdex_array = self.simdex.filter_similar(SID_array[0])
self.assertEqual(['Array.mat'], self.simdex_array.get_filenames(),
'get_identical on array should only return Array.mat')
# check if the self.simdex and sim objects have the same parameters
sim_array = Simulation('Array.mat')
sim_array.separate()
sim_array_pars = sim_array.parameters
sim_array_pars.sort()
self.simdex_array_pars = self.simdex_array.parameters
self.simdex_array_pars.sort()
self.assertEqual(self.simdex_array_pars, sim_array_pars,
'the self.simdex and sim objects should have the same \
parameters')
# check if the self.simdex and sim objects have the same variables
sim_array_vars = sim_array.variables
sim_array_vars.sort()
self.simdex_array_vars = self.simdex_array.variables
self.simdex_array_vars.sort()
self.assertEqual(self.simdex_array_vars, sim_array_vars,
'the self.simdex and sim objects should have the same \
variables')
self.simdex.h5.close()
def test_filter_similar_single_result(self):
""" Simdex.get_identical() for Array.mat should return only Array.mat"""
SID_array = self.simdex.get_SID('array')
self.simdex_array = self.simdex.filter_similar(SID_array[0])
self.assertEqual(['Array.mat'], self.simdex_array.get_filenames(),
'get_identical on array should only return Array.mat')
# check if the self.simdex and sim objects have the same parameters
sim_array = Simulation('Array.mat')
sim_array.separate()
sim_array_pars = sim_array.parameters
sim_array_pars.sort()
self.simdex_array_pars = self.simdex_array.parameters
self.simdex_array_pars.sort()
self.assertEqual(
self.simdex_array_pars, sim_array_pars,
'the self.simdex and sim objects should have the same \
parameters')
# check if the self.simdex and sim objects have the same variables
sim_array_vars = sim_array.variables
sim_array_vars.sort()
self.simdex_array_vars = self.simdex_array.variables
self.simdex_array_vars.sort()
self.assertEqual(
self.simdex_array_vars, sim_array_vars,
'the self.simdex and sim objects should have the same \
variables')
self.simdex.h5.close()
def test_filter_similar_multiple_results(self):
"""
Simdex.get_identical() for LinkedCapacities_C.mat should return
all LinkedCapacities* except LinkedCapacities_F
Attention: currently, the String parameter that is defined in the
Modelica files is NOT present in the .mat files. If this would be
changed (desirable) than the result of this test should also
exclude LinkedCapacities.mat
"""
SID_lc = self.simdex.get_SID('_C')
self.simdex_lc = self.simdex.filter_similar(SID_lc[0])
exp_results = ['LinkedCapacities.mat', \
'LinkedCapacities_A.mat', 'LinkedCapacities_B.mat', \
'LinkedCapacities_C.mat', 'LinkedCapacities_D.mat', \
'LinkedCapacities_E.mat']
exp_results.sort()
self.simdex_lc_fn = self.simdex_lc.get_filenames()
self.simdex_lc_fn.sort()
self.assertEqual(
exp_results, self.simdex_lc_fn,
'get_identical on LinkedCapacities_C.mat should \
return the files mentioned in exp_results')
# check if the self.simdex and sim objects have the same parameters
sim_lc = Simulation('LinkedCapacities_A.mat')
sim_lc.separate()
sim_lc_pars = sim_lc.parameters
sim_lc_pars.sort()
self.simdex_lc_pars = self.simdex_lc.parameters
self.simdex_lc_pars.sort()
self.assertEqual(
self.simdex_lc_pars, sim_lc_pars,
'the self.simdex and sim objects should have the same \
parameters')
# check if the self.simdex and sim objects have the same variables
sim_lc_vars = sim_lc.variables
sim_lc_vars.sort()
self.simdex_lc_vars = self.simdex_lc.variables
self.simdex_lc_vars.sort()
self.assertEqual(
self.simdex_lc_vars, sim_lc_vars,
'the self.simdex and sim objects should have the same \
variables')
self.simdex.h5.close()
def test_separate_attributes_present(self):
""" Tests if the right attributes are created """
sim = Simulation('LinkedCapacities')
sim.separate()
self.assertTrue(isinstance(sim.parameters, list),
'Simulation.separate() should create attribute \
parameters as list')
self.assertTrue(isinstance(sim.variables, list),
'Simulation.separate() should create attribute \
variables as list')
self.assertTrue(isinstance(sim.parametervalues, np.ndarray),
'Simulation.separate() should create attribute \
parametervalues as numpy array')
def test_separate_attributes_present(self):
""" Tests if the right attributes are created """
sim = Simulation('LinkedCapacities')
sim.separate()
self.assertTrue(isinstance(sim.parameters, list),
'Simulation.separate() should create attribute \
parameters as list')
self.assertTrue(isinstance(sim.variables, list),
'Simulation.separate() should create attribute \
variables as list')
self.assertTrue(isinstance(sim.parametervalues, np.ndarray),
'Simulation.separate() should create attribute \
parametervalues as numpy array')
def test_filter_similar_multiple_results(self):
"""
Simdex.get_identical() for LinkedCapacities_C.mat should return
all LinkedCapacities* except LinkedCapacities_F
Attention: currently, the String parameter that is defined in the
Modelica files is NOT present in the .mat files. If this would be
changed (desirable) than the result of this test should also
exclude LinkedCapacities.mat
"""
SID_lc = self.simdex.get_SID('_C')
self.simdex_lc = self.simdex.filter_similar(SID_lc[0])
exp_results = ['LinkedCapacities.mat', \
'LinkedCapacities_A.mat', 'LinkedCapacities_B.mat', \
'LinkedCapacities_C.mat', 'LinkedCapacities_D.mat', \
'LinkedCapacities_E.mat']
exp_results.sort()
self.simdex_lc_fn = self.simdex_lc.get_filenames()
self.simdex_lc_fn.sort()
self.assertEqual(exp_results, self.simdex_lc_fn,
'get_identical on LinkedCapacities_C.mat should \
return the files mentioned in exp_results')
# check if the self.simdex and sim objects have the same parameters
sim_lc = Simulation('LinkedCapacities_A.mat')
sim_lc.separate()
sim_lc_pars = sim_lc.parameters
sim_lc_pars.sort()
self.simdex_lc_pars = self.simdex_lc.parameters
self.simdex_lc_pars.sort()
self.assertEqual(self.simdex_lc_pars, sim_lc_pars,
'the self.simdex and sim objects should have the same \
parameters')
# check if the self.simdex and sim objects have the same variables
sim_lc_vars = sim_lc.variables
sim_lc_vars.sort()
self.simdex_lc_vars = self.simdex_lc.variables
self.simdex_lc_vars.sort()
self.assertEqual(self.simdex_lc_vars, sim_lc_vars,
'the self.simdex and sim objects should have the same \
variables')
self.simdex.h5.close()
def test_separate_attributes_correct(self):
""" Tests if the created attributes are correct """
sim = Simulation('LinkedCapacities')
sim.separate()
parameters = np.array([600.0, 1000.0, 3])
self.assertEqual([u'c1.C', u'c2.C', u'r.R'], sim.parameters)
self.assertTrue((parameters == sim.parametervalues).all())
variables = sorted([
u'Time', u'c1.heatPort.T', u'c1.heatPort.Q_flow', u'c1.T',
u'c1.der(T)', u'c2.heatPort.T', u'c2.heatPort.Q_flow', u'c2.T',
u'c2.der(T)', u'r.heatPort_a.T', u'r.heatPort_a.Q_flow',
u'r.heatPort_b.T', u'r.heatPort_b.Q_flow'
])
self.assertEqual(variables, sim.variables)
def test_separate_attributes_correct(self):
""" Tests if the created attributes are correct """
sim = Simulation('LinkedCapacities')
sim.separate()
parameters = np.array([600.0, 1000.0, 3])
self.assertEqual([u'c1.C', u'c2.C', u'r.R'], sim.parameters)
self.assertTrue((parameters == sim.parametervalues).all())
variables = sorted([u'Time', u'c1.heatPort.T', u'c1.heatPort.Q_flow',
u'c1.T', u'c1.der(T)', u'c2.heatPort.T',
u'c2.heatPort.Q_flow', u'c2.T', u'c2.der(T)',
u'r.heatPort_a.T', u'r.heatPort_a.Q_flow',
u'r.heatPort_b.T', u'r.heatPort_b.Q_flow'])
self.assertEqual(variables,
sim.variables)
def test_separate_twice(self):
""" Tests if all goes fine if Simulation.separate() is called twice """
sim = Simulation('LinkedCapacities')
sim.separate()
sim.separate()
parameters = np.array([600.0, 1000.0, 3])
self.assertEqual([u'c1.C', u'c2.C', u'r.R'], sim.parameters)
self.assertTrue((parameters == sim.parametervalues).all())
variables = sorted([
u'Time', u'c1.heatPort.T', u'c1.heatPort.Q_flow', u'c1.T',
u'c1.der(T)', u'c2.heatPort.T', u'c2.heatPort.Q_flow', u'c2.T',
u'c2.der(T)', u'r.heatPort_a.T', u'r.heatPort_a.Q_flow',
u'r.heatPort_b.T', u'r.heatPort_b.Q_flow'
])
self.assertEqual(variables, sim.variables)
def test_separate_twice(self):
""" Tests if all goes fine if Simulation.separate() is called twice """
sim = Simulation('LinkedCapacities')
sim.separate()
sim.separate()
parameters = np.array([600.0, 1000.0, 3])
self.assertEqual([u'c1.C', u'c2.C', u'r.R'], sim.parameters)
self.assertTrue((parameters == sim.parametervalues).all())
variables = sorted([u'Time', u'c1.heatPort.T', u'c1.heatPort.Q_flow',
u'c1.T', u'c1.der(T)', u'c2.heatPort.T',
u'c2.heatPort.Q_flow', u'c2.T', u'c2.der(T)',
u'r.heatPort_a.T', u'r.heatPort_a.Q_flow',
u'r.heatPort_b.T', u'r.heatPort_b.Q_flow'])
self.assertEqual(variables, sim.variables)
@author: RDC
"""
import numpy as np
import os
from simman import Simulation, Simdex, Process, load_simdex
# first, test the package
#runfile(r'C:\Workspace\Python\SimulationManagement\test_simman.py',
# wdir=r'C:\Workspace\Python\SimulationManagement')
# a Simulation is a python object for 1 simulation result file
sim = Simulation('LinkedCapacities_A') #with our without .mat extension
sim.separate() # optional, makes attributes for parameters and variables
sim.parameters
sim.variables
# in big simulation files, it's not always easy to find the right parameter
# or variable
sim.exist('q_flow')
time = sim.get_value('Time')
Q = sim.get_value(u'r.heatPort_a.Q_flow')
Q_sum = np.trapz(Q, time)
print "The total energy that flowed through the resistance is %.1f J" % Q_sum
for p, v in zip(sim.parameters, sim.parametervalues):
print ''.join([p, ' = ', str(v)])
@author: RDC
"""
import numpy as np
import os
from simman import Simulation, Simdex, Process, load_simdex
# first, test the package
#runfile(r'C:\Workspace\Python\SimulationManagement\test_simman.py',
# wdir=r'C:\Workspace\Python\SimulationManagement')
# a Simulation is a python object for 1 simulation result file
sim=Simulation('LinkedCapacities_A') #with our without .mat extension
sim.separate() # optional, makes attributes for parameters and variables
sim.parameters
sim.variables
# in big simulation files, it's not always easy to find the right parameter
# or variable
sim.exist('q_flow')
time = sim.get_value('Time')
Q = sim.get_value(u'r.heatPort_a.Q_flow')
Q_sum = np.trapz(Q, time)
print "The total energy that flowed through the resistance is %.1f J" %Q_sum
for p,v in zip(sim.parameters, sim.parametervalues):
print ''.join([p, ' = ', str(v)])