def test_minModelStep_stepExactFalse():
pList = [load_p('ladr_2d_p', modulepath)]
nList = [load_n('ladr_2d_n', modulepath)]
so = So()
so.name = pList[0].name = "ladr"
so.tnList = nList[0].tnList
so.systemStepControllerType = SplitOperator.Sequential_MinModelStep
so.systemStepExact = False
so.sList = [default_s]
opts.logLevel = 7
opts.verbose = True
opts.profile = True
opts.gatherArchive = True
nList[0].runCFL = 0.33
nList[0].linearSolver = default_n.LU
nList[0].multilevelLinearSolver = default_n.LU
ns = NumericalSolution.NS_base(so, pList, nList, so.sList, opts)
ns.calculateSolution('ladr_minModelStep_stepExactFalse')
assert ns.tCount + 1 == len(
so.tnList), "wrong number of archvie steps " + repr(ns.tCount)
assert ns.modelList[0].solver.solverList[
0].solveCalls == 34, "wrong number of steps " + repr(
ns.modelList[0].solver.solverList[0].solveCalls)
archiveTimes = []
for t in ns.ar[0].treeGlobal.iter('Time'):
archiveTimes.append(t.attrib['Value'])
archiveTimesCorrect = [
'0.0', '0.029516097303', '0.0516531702802', '0.0811692675832',
'0.10330634056', '0.125443413538', '0.154959510841', '0.177096583818',
'0.206612681121', '0.228749754098', '0.250886827075'
]
npt.assert_almost_equal(np.array(archiveTimes, 'd'),
np.array(archiveTimesCorrect, 'd'))
del ns
def test_minModelStep_stepExactFalse():
pList = [load_p('ladr_2d_p', modulepath)]
nList = [load_n('ladr_2d_n', modulepath)]
so = So()
so.name = pList[0].name = "ladr"
so.tnList = nList[0].tnList
so.systemStepControllerType = SplitOperator.Sequential_MinModelStep
so.systemStepExact=False
so.sList=[default_s]
opts.logLevel=7
opts.verbose=True
opts.profile=True
opts.gatherArchive=True
nList[0].runCFL=0.33
nList[0].linearSolver=default_n.LU
nList[0].multilevelLinearSolver=default_n.LU
ns = NumericalSolution.NS_base(so,pList,nList,so.sList,opts)
ns.calculateSolution('ladr_minModelStep_stepExactFalse')
assert ns.tCount + 1 == len(so.tnList), "wrong number of archvie steps " +`ns.tCount`
assert ns.modelList[0].solver.solverList[0].solveCalls == 34, "wrong number of steps "+`ns.modelList[0].solver.solverList[0].solveCalls`
archiveTimes=[]
for t in ns.ar[0].treeGlobal.iter('Time'):
archiveTimes.append(t.attrib['Value'])
archiveTimesCorrect = ['0.0', '0.029516097303', '0.0516531702802', '0.0811692675832', '0.10330634056', '0.125443413538', '0.154959510841', '0.177096583818', '0.206612681121', '0.228749754098', '0.250886827075']
npt.assert_almost_equal(np.array(archiveTimes,'d'), np.array(archiveTimesCorrect,'d'))
del ns
def test_minModelStep_stepExactTrue():
pList = [load_p('ladr_2d_p', modulepath)]
nList = [load_n('ladr_2d_n', modulepath)]
so = So()
so.name = pList[0].name = "ladr"
so.tnList = nList[0].tnList
so.systemStepControllerType = SplitOperator.Sequential_MinModelStep
so.systemStepExact = True
so.sList = [default_s]
opts.logLevel = 7
opts.verbose = True
opts.profile = True
opts.gatherArchive = True
nList[0].runCFL = 0.33
nList[0].linearSolver = default_n.LU
nList[0].multilevelLinearSolver = default_n.LU
ns = NumericalSolution.NS_base(so, pList, nList, so.sList, opts)
ns.calculateSolution('ladr_minModelStep_stepExactTrue')
assert ns.tCount + 1 == len(
so.tnList), "wrong number of archvie steps " + repr(ns.tCount)
assert ns.modelList[0].solver.solverList[
0].solveCalls == 40, "wrong number of steps " + repr(
ns.modelList[0].solver.solverList[0].solveCalls)
archiveTimes = []
for t in ns.ar[0].treeGlobal.iter('Time'):
archiveTimes.append(t.attrib['Value'])
archiveTimesCorrect = so.tnList
npt.assert_almost_equal(np.array(archiveTimes, 'd'),
np.array(archiveTimesCorrect, 'd'))
del ns
def test_minModelStep_stepExactTrue():
pList = [load_p('ladr_2d_p', modulepath)]
nList = [load_n('ladr_2d_n', modulepath)]
so = So()
so.name = pList[0].name = "ladr"
so.tnList = nList[0].tnList
so.systemStepControllerType = SplitOperator.Sequential_MinModelStep
so.systemStepExact=True
so.sList=[default_s]
opts.logLevel=7
opts.verbose=True
opts.profile=True
opts.gatherArchive=True
nList[0].runCFL=0.33
nList[0].linearSolver=default_n.LU
nList[0].multilevelLinearSolver=default_n.LU
ns = NumericalSolution.NS_base(so,pList,nList,so.sList,opts)
ns.calculateSolution('ladr_minModelStep_stepExactTrue')
assert ns.tCount + 1 == len(so.tnList), "wrong number of archvie steps "+`ns.tCount`
assert ns.modelList[0].solver.solverList[0].solveCalls == 40, "wrong number of steps "+`ns.modelList[0].solver.solverList[0].solveCalls`
archiveTimes=[]
for t in ns.ar[0].treeGlobal.iter('Time'):
archiveTimes.append(t.attrib['Value'])
archiveTimesCorrect = so.tnList
npt.assert_almost_equal(np.array(archiveTimes,'d'), np.array(archiveTimesCorrect,'d'))
del ns