def test_yDirection(self):
dim=self.domain.getDim()
if dim==3:
return
u = Symbol('u',(2,), dim=dim)
q = Symbol('q', (2,2))
theta = Symbol('theta')
theta=3.141/6
q[0,0]=cos(theta)
q[0,1]=-sin(theta)
q[1,0]=sin(theta)
q[1,1]=cos(theta)
sigma = Symbol('sigma',(2,2))
p = NonlinearPDE(self.domain, u, debug=0)
epsilon = symmetric(grad(u))
# epsilon = matrixmult(matrixmult(q,epsilon0),q.transpose(1))
c00=10;c01=8;c05=0
c01=8;c11=10;c15=0
c05=0;c15=0;c55=1
sigma[0,0]=c00*epsilon[0,0]+c01*epsilon[1,1]+c05*2*epsilon[1,0]
sigma[1,1]=c01*epsilon[0,0]+c11*epsilon[1,1]+c15*2*epsilon[1,0]
sigma[0,1]=c05*epsilon[0,0]+c15*epsilon[1,1]+c55*2*epsilon[1,0]
sigma[1,0]=sigma[0,1]
# sigma0=matrixmult(matrixmult(q.transpose(1),epsilon),q)
x = self.domain.getX()
gammaD=whereZero(x[1])*[1,1]#+whereZero(x[0])*[1,0]+whereZero(x[0]-1)*[1,0]
yconstraint = FunctionOnBoundary(self.domain).getX()[1]
p.setValue(X=sigma,q=gammaD,y=[-50,0]*whereZero(yconstraint-1),r=[1,1])
v = p.getSolution(u=[0,0])
x=np.ndarray((2,))
x[0]=0.5
x[1]=0.5
loc=Locator(v.getFunctionSpace(),x)
valAtX=loc(v)
self.assertTrue(valAtX[0]>10*valAtX[1])
def test_yDirection(self):
dim=self.domain.getDim()
if dim==3:
return
u = Symbol('u',(2,), dim=dim)
q = Symbol('q', (2,2))
theta = Symbol('theta')
theta=3.141/6
q[0,0]=cos(theta)
q[0,1]=-sin(theta)
q[1,0]=sin(theta)
q[1,1]=cos(theta)
sigma = Symbol('sigma',(2,2))
p = NonlinearPDE(self.domain, u, debug=0)
epsilon = symmetric(grad(u))
# epsilon = matrixmult(matrixmult(q,epsilon0),q.transpose(1))
c00=10;c01=8;c05=0
c01=8;c11=10;c15=0
c05=0;c15=0;c55=1
sigma[0,0]=c00*epsilon[0,0]+c01*epsilon[1,1]+c05*2*epsilon[1,0]
sigma[1,1]=c01*epsilon[0,0]+c11*epsilon[1,1]+c15*2*epsilon[1,0]
sigma[0,1]=c05*epsilon[0,0]+c15*epsilon[1,1]+c55*2*epsilon[1,0]
sigma[1,0]=sigma[0,1]
# sigma0=matrixmult(matrixmult(q.transpose(1),epsilon),q)
x = self.domain.getX()
gammaD=whereZero(x[1])*[1,1]#+whereZero(x[0])*[1,0]+whereZero(x[0]-1)*[1,0]
yconstraint = FunctionOnBoundary(self.domain).getX()[1]
p.setValue(X=sigma,q=gammaD,y=[-50,0]*whereZero(yconstraint-1),r=[1,1])
v = p.getSolution(u=[0,0])
x=np.ndarray((2,))
x[0]=0.5
x[1]=0.5
loc=Locator(v.getFunctionSpace(),x)
valAtX=loc(v)
self.assertTrue(valAtX[0]>10*valAtX[1])
def test_run(self):
#test just to confirm nlpde works
u=Symbol('u', dim=self.domain.getDim())
nlpde = NonlinearPDE(self.domain, u)
x=self.domain.getX()
gammaD=whereZero(x[0])+whereZero(x[1])
nlpde.setValue(X=grad(u), Y=5*u, q=gammaD, r=1)
v=nlpde.getSolution(u=1)
def test_run(self):
#test just to confirm nlpde works
u=Symbol('u', dim=self.domain.getDim())
nlpde = NonlinearPDE(self.domain, u)
x=self.domain.getX()
gammaD=whereZero(x[0])+whereZero(x[1])
nlpde.setValue(X=grad(u), Y=5*u, q=gammaD, r=1)
v=nlpde.getSolution(u=1)
def test_setVals2eq(self):
#test setting Coefficients with 2 coeficients
dim=self.domain.getDim()
u = Symbol('u',(2,), dim=dim)
q = Symbol('q', (2,2))
nlpde = NonlinearPDE(self.domain, u, debug=0)
x = self.domain.getX()
gammaD=whereZero(x[1])*[1,1]#+whereZero(x[0])*[1,0]+whereZero(x[0]-1)*[1,0]
yconstraint = FunctionOnBoundary(self.domain).getX()[1]
nlpde.setValue(X=grad(u),q=gammaD,Y=[-50,-50]*u)
A=nlpde.getCoefficient("A")
B=nlpde.getCoefficient("B")
C=nlpde.getCoefficient("C")
D=nlpde.getCoefficient("D")
if dim==2:
ATest=numpy.empty((2,2,2,2),dtype=object)
ATest[0]=(((1,0),(0,0)),((0,1),(0,0)))
ATest[1]=(((0,0),(1,0)),((0,0),(0,1)))
BTest=numpy.empty((2,2,2),dtype=object)
BTest[0]=0
BTest[1]=0
CTest=BTest
DTest=numpy.empty((2,2),dtype=object)
DTest[0]=(-50,0)
DTest[1]=(0,-50)
self.assertTrue(numpy.ndarray.__eq__(ATest, A).all())
self.assertTrue(numpy.ndarray.__eq__(BTest, B).all())
self.assertTrue(numpy.ndarray.__eq__(CTest, C).all())
self.assertTrue(numpy.ndarray.__eq__(DTest, D).all())
else:
ATest=numpy.empty((2,3,2,3),dtype=object)
ATest[0]=(((1,0,0),(0,0,0)),((0,1,0),(0,0,0)),((0,0,1),(0,0,0)))
ATest[1]=(((0,0,0),(1,0,0)),((0,0,0),(0,1,0)),((0,0,0),(0,0,1)))
#ATest[1]=(((0,0,1),(1,0,0)),((0,0),(0,1)))
BTest=numpy.empty((2,3,2),dtype=object)
BTest[0]=0
BTest[1]=0
CTest=numpy.empty((2,2,3),dtype=object)
CTest[0]=0
CTest[1]=0
DTest=numpy.empty((2,2),dtype=object)
DTest[0]=(-50,0)
DTest[1]=(0,-50)
self.assertTrue(numpy.ndarray.__eq__(BTest, B).all())
self.assertTrue(numpy.ndarray.__eq__(CTest, C).all())
self.assertTrue(numpy.ndarray.__eq__(DTest, D).all())
def test_DimAndShape2eq(self):
dim=self.domain.getDim()
u = Symbol('u',(2,), dim=dim)
nlpde = NonlinearPDE(self.domain, u, debug=0)
args=dict(X=grad(u), Y=5*u[0])
self.assertRaises(IllegalCoefficientValue, nlpde.setValue,**args)
args=dict(X=grad(u[0]), Y=5*u)
self.assertRaises(IllegalCoefficientValue, nlpde.setValue,**args)
def test_setVals1eq(self):
#test setting Coefficients with 1 equation
dim=self.domain.getDim()
u=Symbol('u', dim=dim)
nlpde = NonlinearPDE(self.domain, u)
x=self.domain.getX()
gammaD=whereZero(x[0])+whereZero(x[1])
nlpde.setValue(X=grad(u), Y=5*u, q=gammaD, r=1)
A=nlpde.getCoefficient("A")
B=nlpde.getCoefficient("B")
C=nlpde.getCoefficient("C")
D=nlpde.getCoefficient("D")
if dim==2:
ATest=numpy.empty((2,2), dtype=object)
ATest[0]=1,0
ATest[1]=0,1
BTest=numpy.empty((2,), dtype=object)
BTest[0]=0
BTest[1]=0
CTest=BTest
self.assertTrue(A-ATest==Symbol(numpy.zeros((2,2))))
self.assertTrue(B-BTest==Symbol(numpy.zeros((2,))))
self.assertTrue(C-CTest==Symbol(numpy.zeros((2,))))
temp=Symbol('temp')
self.assertTrue(D-temp.subs(temp,5)==temp.subs(temp,0))
else:
ATest=numpy.empty((3,3), dtype=object)
ATest[0]=1,0,0
ATest[1]=0,1,0
ATest[2]=0,0,1
BTest=numpy.empty((3,), dtype=object)
BTest[0]=0
BTest[1]=0
BTest[2]=0
CTest=BTest
self.assertTrue(A-ATest==Symbol(numpy.zeros((3,3))))
self.assertTrue(B-BTest==Symbol(numpy.zeros((3,))))
self.assertTrue(C-CTest==Symbol(numpy.zeros((3,))))
temp=Symbol('temp')
self.assertTrue(D-temp.subs(temp,5)==temp.subs(temp,0))
def test_DimAndShape1eq(self):
dim=self.domain.getDim()
if dim==3:
u = Symbol('u', dim=2)
else:
u = Symbol('u', dim=3)
nlpde = NonlinearPDE(self.domain, u, debug=0)
args=dict(X=grad(u), Y=5*u)
self.assertRaises(IllegalCoefficientValue, nlpde.setValue,**args)
u = Symbol('u', dim=dim)
args=dict(X=u, Y=5*u)
self.assertRaises(IllegalCoefficientValue, nlpde.setValue,**args)
args=dict(X=grad(u), Y=5*grad(u))
self.assertRaises(IllegalCoefficientValue, nlpde.setValue,**args)
def test_setVals2eq(self):
#test setting Coefficients with 2 coeficients
dim = self.domain.getDim()
u = Symbol('u', (2, ), dim=dim)
q = Symbol('q', (2, 2))
nlpde = NonlinearPDE(self.domain, u, debug=0)
x = self.domain.getX()
gammaD = whereZero(
x[1]) * [1, 1] #+whereZero(x[0])*[1,0]+whereZero(x[0]-1)*[1,0]
yconstraint = FunctionOnBoundary(self.domain).getX()[1]
nlpde.setValue(X=grad(u), q=gammaD, Y=[-50, -50] * u)
A = nlpde.getCoefficient("A")
B = nlpde.getCoefficient("B")
C = nlpde.getCoefficient("C")
D = nlpde.getCoefficient("D")
if dim == 2:
ATest = numpy.empty((2, 2, 2, 2), dtype=object)
ATest[0] = (((1, 0), (0, 0)), ((0, 1), (0, 0)))
ATest[1] = (((0, 0), (1, 0)), ((0, 0), (0, 1)))
BTest = numpy.empty((2, 2, 2), dtype=object)
BTest[0] = 0
BTest[1] = 0
CTest = BTest
DTest = numpy.empty((2, 2), dtype=object)
DTest[0] = (-50, 0)
DTest[1] = (0, -50)
self.assertTrue(numpy.ndarray.__eq__(ATest, A).all())
self.assertTrue(numpy.ndarray.__eq__(BTest, B).all())
self.assertTrue(numpy.ndarray.__eq__(CTest, C).all())
self.assertTrue(numpy.ndarray.__eq__(DTest, D).all())
else:
ATest = numpy.empty((2, 3, 2, 3), dtype=object)
ATest[0] = (((1, 0, 0), (0, 0, 0)), ((0, 1, 0), (0, 0, 0)),
((0, 0, 1), (0, 0, 0)))
ATest[1] = (((0, 0, 0), (1, 0, 0)), ((0, 0, 0), (0, 1, 0)),
((0, 0, 0), (0, 0, 1)))
#ATest[1]=(((0,0,1),(1,0,0)),((0,0),(0,1)))
BTest = numpy.empty((2, 3, 2), dtype=object)
BTest[0] = 0
BTest[1] = 0
CTest = numpy.empty((2, 2, 3), dtype=object)
CTest[0] = 0
CTest[1] = 0
DTest = numpy.empty((2, 2), dtype=object)
DTest[0] = (-50, 0)
DTest[1] = (0, -50)
self.assertTrue(numpy.ndarray.__eq__(BTest, B).all())
self.assertTrue(numpy.ndarray.__eq__(CTest, C).all())
self.assertTrue(numpy.ndarray.__eq__(DTest, D).all())
def test_setVals1eq(self):
#test setting Coefficients with 1 equation
dim=self.domain.getDim()
u=Symbol('u', dim=dim)
nlpde = NonlinearPDE(self.domain, u)
x=self.domain.getX()
gammaD=whereZero(x[0])+whereZero(x[1])
nlpde.setValue(X=grad(u), Y=5*u, q=gammaD, r=1)
A=nlpde.getCoefficient("A")
B=nlpde.getCoefficient("B")
C=nlpde.getCoefficient("C")
D=nlpde.getCoefficient("D")
if dim==2:
ATest=numpy.empty((2,2), dtype=object)
ATest[0]=1,0
ATest[1]=0,1
BTest=numpy.empty((2,), dtype=object)
BTest[0]=0
BTest[1]=0
CTest=BTest
self.assertTrue(A-ATest==Symbol(numpy.zeros((2,2))))
self.assertTrue(B-BTest==Symbol(numpy.zeros((2,))))
self.assertTrue(C-CTest==Symbol(numpy.zeros((2,))))
temp=Symbol('temp')
self.assertTrue(D-temp.subs(temp,5)==temp.subs(temp,0))
else:
ATest=numpy.empty((3,3), dtype=object)
ATest[0]=1,0,0
ATest[1]=0,1,0
ATest[2]=0,0,1
BTest=numpy.empty((3,), dtype=object)
BTest[0]=0
BTest[1]=0
BTest[2]=0
CTest=BTest
self.assertTrue(A-ATest==Symbol(numpy.zeros((3,3))))
self.assertTrue(B-BTest==Symbol(numpy.zeros((3,))))
self.assertTrue(C-CTest==Symbol(numpy.zeros((3,))))
temp=Symbol('temp')
self.assertTrue(D-temp.subs(temp,5)==temp.subs(temp,0))
def test_setUnknownPeram(self):
dim=self.domain.getDim()
u = Symbol('u',(2,), dim=dim)
nlpde = NonlinearPDE(self.domain, u, debug=0)
args=dict(k=0,f=8)
self.assertRaises(IllegalCoefficient,nlpde.setValue,**args)
