broke up averaging so that we have averaging for components as well

This commit is contained in:
Lindsey Heagy
2015-11-15 00:08:26 -08:00
parent 4fe9475ffc
commit d7bcc0c074
2 changed files with 291 additions and 191 deletions
+65 -18
View File
@@ -445,6 +445,22 @@ class TestTreeAveraging2D(Tests.OrderTest):
self.getAve = lambda M: M.aveF2CC
self.orderTest()
def test_orderFx2CC(self):
self.name = "Averaging 2D: Fx2CC"
funX = lambda x, y: (np.cos(x)+np.sin(y))
self.getHere = lambda M: np.r_[call2(funX, M.gridFx)]
self.getThere = lambda M: np.r_[call2(funX, M.gridCC)]
self.getAve = lambda M: M.aveFx2CC
self.orderTest()
def test_orderFy2CC(self):
self.name = "Averaging 2D: Fy2CC"
funY = lambda x, y: (np.cos(y)*np.sin(x))
self.getHere = lambda M: np.r_[call2(funY, M.gridFy)]
self.getThere = lambda M: np.r_[call2(funY, M.gridCC)]
self.getAve = lambda M: M.aveFy2CC
self.orderTest()
def test_orderF2CCV(self):
self.name = "Averaging 2D: F2CCV"
funX = lambda x, y: (np.cos(x)+np.sin(y))
@@ -464,28 +480,11 @@ class TestTreeAveraging2D(Tests.OrderTest):
# self.orderTest()
# self.expectedOrders = 2
# def test_orderE2CC(self):
# self.name = "Averaging 2D: E2CC"
# fun = lambda x, y: (np.cos(x)+np.sin(y))
# self.getHere = lambda M: np.r_[call2(fun, np.r_[M.gridEx, M.gridEy])]
# self.getThere = lambda M: call2(fun, M.gridCC)
# self.getAve = lambda M: M.aveE2CC
# self.orderTest()
# def test_orderE2CCV(self):
# self.name = "Averaging 2D: E2CCV"
# funX = lambda x, y: (np.cos(x)+np.sin(y))
# funY = lambda x, y: (np.cos(y)*np.sin(x))
# self.getHere = lambda M: np.r_[call2(funX, M.gridEx), call2(funY, M.gridEy)]
# self.getThere = lambda M: np.r_[call2(funX, M.gridCC), call2(funY, M.gridCC)]
# self.getAve = lambda M: M.aveE2CCV
# self.orderTest()
class TestAveraging3D(Tests.OrderTest):
name = "Averaging 3D"
meshTypes = ['notatreeTree', 'uniformTree']#, 'randomTree']
meshDimension = 3
meshSizes = [8,16,32]
meshSizes = [8,16]
expectedOrders = [2,1]
def getError(self):
@@ -529,6 +528,30 @@ class TestAveraging3D(Tests.OrderTest):
self.getAve = lambda M: M.aveF2CC
self.orderTest()
def test_orderFx2CC(self):
self.name = "Averaging 3D: Fx2CC"
funX = lambda x, y, z: (np.cos(x)+np.sin(y)+np.exp(z))
self.getHere = lambda M: np.r_[call3(funX, M.gridFx)]
self.getThere = lambda M: np.r_[call3(funX, M.gridCC)]
self.getAve = lambda M: M.aveFx2CC
self.orderTest()
def test_orderFy2CC(self):
self.name = "Averaging 3D: Fy2CC"
funY = lambda x, y, z: (np.cos(x)+np.sin(y)*np.exp(z))
self.getHere = lambda M: np.r_[call3(funY, M.gridFy)]
self.getThere = lambda M: np.r_[call3(funY, M.gridCC)]
self.getAve = lambda M: M.aveFy2CC
self.orderTest()
def test_orderFz2CC(self):
self.name = "Averaging 3D: Fz2CC"
funZ = lambda x, y, z: (np.cos(x)+np.sin(y)*np.exp(z))
self.getHere = lambda M: np.r_[call3(funZ, M.gridFz)]
self.getThere = lambda M: np.r_[call3(funZ, M.gridCC)]
self.getAve = lambda M: M.aveFz2CC
self.orderTest()
def test_orderF2CCV(self):
self.name = "Averaging 3D: F2CCV"
funX = lambda x, y, z: (np.cos(x)+np.sin(y)+np.exp(z))
@@ -539,6 +562,30 @@ class TestAveraging3D(Tests.OrderTest):
self.getAve = lambda M: M.aveF2CCV
self.orderTest()
def test_orderEx2CC(self):
self.name = "Averaging 3D: Ex2CC"
funX = lambda x, y, z: (np.cos(x)+np.sin(y)+np.exp(z))
self.getHere = lambda M: np.r_[call3(funX, M.gridEx)]
self.getThere = lambda M: np.r_[call3(funX, M.gridCC)]
self.getAve = lambda M: M.aveEx2CC
self.orderTest()
def test_orderEy2CC(self):
self.name = "Averaging 3D: Ey2CC"
funY = lambda x, y, z: (np.cos(x)+np.sin(y)+np.exp(z))
self.getHere = lambda M: np.r_[call3(funY, M.gridEy)]
self.getThere = lambda M: np.r_[call3(funY, M.gridCC)]
self.getAve = lambda M: M.aveEy2CC
self.orderTest()
def test_orderEz2CC(self):
self.name = "Averaging 3D: Ez2CC"
funZ = lambda x, y, z: (np.cos(x)+np.sin(y)+np.exp(z))
self.getHere = lambda M: np.r_[call3(funZ, M.gridEz)]
self.getThere = lambda M: np.r_[call3(funZ, M.gridCC)]
self.getAve = lambda M: M.aveEz2CC
self.orderTest()
def test_orderE2CC(self):
self.name = "Averaging 3D: E2CC"
fun = lambda x, y, z: (np.cos(x)+np.sin(y)+np.exp(z))