write test for invProp and invMat (failing)

This commit is contained in:
rowanc1
2014-07-03 10:31:04 -07:00
parent 8c65ddacae
commit bb0b9c1de4
2 changed files with 40 additions and 12 deletions
+15 -6
View File
@@ -109,10 +109,12 @@ class InnerProducts(object):
return [V*proj(*locs[node][d-1]) for node in nodes]
def getFaceInnerProductDeriv(self, prop, doFast=True):
def getFaceInnerProductDeriv(self, prop, doFast=True, invProp=False, invMat=False):
"""
:param numpy.array prop: material property (tensor properties are possible) at each cell center (nC, (1, 3, or 6))
:param bool doFast: do a faster implementation if available.
:param bool invProp: inverts the material property
:param bool invMat: inverts the matrix
:rtype: function
:return: dMdmu(u), the derivative of the inner product matrix (u)
@@ -122,23 +124,27 @@ class InnerProducts(object):
:rtype: scipy.csr_matrix
:return: dMdmu, the derivative of the inner product matrix for a certain u
"""
return self._getInnerProductDeriv(prop, 'F', doFast=doFast)
return self._getInnerProductDeriv(prop, 'F', doFast=doFast, invProp=invProp, invMat=invMat)
def getEdgeInnerProductDeriv(self, prop, doFast=True):
def getEdgeInnerProductDeriv(self, prop, doFast=True, invProp=False, invMat=False):
"""
:param numpy.array prop: material property (tensor properties are possible) at each cell center (nC, (1, 3, or 6))
:param bool doFast: do a faster implementation if available.
:param bool invProp: inverts the material property
:param bool invMat: inverts the matrix
:rtype: scipy.csr_matrix
:return: dMdm, the derivative of the inner product matrix (nE, nC*nA)
"""
return self._getInnerProductDeriv(prop, 'E', doFast=doFast)
return self._getInnerProductDeriv(prop, 'E', doFast=doFast, invProp=invProp, invMat=invMat)
def _getInnerProductDeriv(self, prop, projType, doFast=True):
def _getInnerProductDeriv(self, prop, projType, doFast=True, invProp=False, invMat=False):
"""
:param numpy.array prop: material property (tensor properties are possible) at each cell center (nC, (1, 3, or 6))
:param str projType: 'F' for faces 'E' for edges
:param bool doFast: do a faster implementation if available.
:param bool invProp: inverts the material property
:param bool invMat: inverts the matrix
:rtype: scipy.csr_matrix
:return: dMdm, the derivative of the inner product matrix (nE, nC*nA)
"""
@@ -146,7 +152,10 @@ class InnerProducts(object):
fast = None
if hasattr(self, '_fastInnerProductDeriv') and doFast:
fast = self._fastInnerProductDeriv(projType, tensorType)
fast = self._fastInnerProductDeriv(projType, tensorType, invProp=invProp, invMat=invMat)
if invProp or invMat:
raise NotImplementedError('inverting the property or the matrix is not yet implemented for this mesh/tensorType. You should write it!')
if fast is not None:
return fast
+25 -6
View File
@@ -6,7 +6,7 @@ from TestUtils import checkDerivative
class TestInnerProductsDerivs(unittest.TestCase):
def doTestFace(self, h, rep, fast, meshType):
def doTestFace(self, h, rep, fast, meshType, invProp=False, invMat=False):
if meshType == 'LRM':
hRect = Utils.exampleLrmGrid(h,'rotate')
mesh = Mesh.LogicallyRectMesh(hRect)
@@ -16,14 +16,14 @@ class TestInnerProductsDerivs(unittest.TestCase):
mesh = Mesh.TensorMesh(h)
v = np.random.rand(mesh.nF)
sig = np.random.rand(1) if rep is 0 else np.random.rand(mesh.nC*rep)
Md = mesh.getFaceInnerProductDeriv(sig, doFast=fast)
def fun(sig):
M = mesh.getFaceInnerProduct(sig)
M = mesh.getFaceInnerProduct(sig, invProp=invProp, invMat=invMat)
Md = mesh.getFaceInnerProductDeriv(sig, invProp=invProp, invMat=invMat, doFast=fast)
return M*v, Md(v)
print meshType, 'Face', h, rep, fast
return checkDerivative(fun, sig, num=5, plotIt=False)
def doTestEdge(self, h, rep, fast, meshType):
def doTestEdge(self, h, rep, fast, meshType, invProp=False, invMat=False):
if meshType == 'LRM':
hRect = Utils.exampleLrmGrid(h,'rotate')
mesh = Mesh.LogicallyRectMesh(hRect)
@@ -33,9 +33,9 @@ class TestInnerProductsDerivs(unittest.TestCase):
mesh = Mesh.TensorMesh(h)
v = np.random.rand(mesh.nE)
sig = np.random.rand(1) if rep is 0 else np.random.rand(mesh.nC*rep)
Md = mesh.getEdgeInnerProductDeriv(sig, doFast=fast)
def fun(sig):
M = mesh.getEdgeInnerProduct(sig)
M = mesh.getEdgeInnerProduct(sig, invProp=invProp, invMat=invMat)
Md = mesh.getEdgeInnerProductDeriv(sig, invProp=invProp, invMat=invMat, doFast=fast)
return M*v, Md(v)
print meshType, 'Edge', h, rep, fast
return checkDerivative(fun, sig, num=5, plotIt=False)
@@ -118,6 +118,25 @@ class TestInnerProductsDerivs(unittest.TestCase):
# def test_FaceIP_1D_float_fast_harmonic(self):
# self.assertTrue(self.doTestFace([10],0, True, 'Tensor', invProp=True, invMat=True))
# def test_FaceIP_2D_float_fast_harmonic(self):
# self.assertTrue(self.doTestFace([10, 4],0, True, 'Tensor', invProp=True, invMat=True))
# def test_FaceIP_3D_float_fast_harmonic(self):
# self.assertTrue(self.doTestFace([10, 4, 5],0, True, 'Tensor', invProp=True, invMat=True))
def test_FaceIP_1D_isotropic_fast_harmonic(self):
self.assertTrue(self.doTestFace([10],1, True, 'Tensor', invProp=True, invMat=True))
def test_FaceIP_2D_isotropic_fast_harmonic(self):
self.assertTrue(self.doTestFace([10, 4],1, True, 'Tensor', invProp=True, invMat=True))
def test_FaceIP_3D_isotropic_fast_harmonic(self):
self.assertTrue(self.doTestFace([10, 4, 5],1, True, 'Tensor', invProp=True, invMat=True))
# def test_FaceIP_2D_anisotropic_fast_harmonic(self):
# self.assertTrue(self.doTestFace([10, 4],2, True, 'Tensor', invProp=True, invMat=True))
# def test_FaceIP_3D_anisotropic_fast_harmonic(self):
# self.assertTrue(self.doTestFace([10, 4, 5],3, True, 'Tensor', invProp=True, invMat=True))
def test_FaceIP_2D_float_LRM(self):
self.assertTrue(self.doTestFace([10, 4],0, False, 'LRM'))
def test_FaceIP_3D_float_LRM(self):