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naming: abbreviate all analytics to ana

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This commit is contained in:
Lindsey
2015-04-17 17:12:06 -07:00
parent db8cc69862
commit 39fdcab9b4
4 changed files with 107 additions and 107 deletions
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SimPEG/Tests/test_operators.py
+24 -24
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@@ -35,15 +35,15 @@ class TestCurl(OrderTest):
E = self.M.projectEdgeVector(Ec)
Fc = cartF3(self.M, solX, solY, solZ)
curlE_anal = self.M.projectFaceVector(Fc)
curlE_ana = self.M.projectFaceVector(Fc)
curlE = self.M.edgeCurl.dot(E)
if self._meshType == 'rotateLRM':
# Really it is the integration we should be caring about:
# So, let us look at the l2 norm.
err = np.linalg.norm(self.M.area*(curlE - curlE_anal), 2)
err = np.linalg.norm(self.M.area*(curlE - curlE_ana), 2)
else:
err = np.linalg.norm((curlE - curlE_anal), np.inf)
err = np.linalg.norm((curlE - curlE_ana), np.inf)
return err
def test_order(self):
@@ -63,8 +63,8 @@ class TestCurl2D(OrderTest):
sol_curl2d = call2(sol, self.M.gridCC)
Ec = cartE2(self.M, ex, ey)
sol_anal = self.M.edgeCurl*self.M.projectFaceVector(Ec)
err = np.linalg.norm((sol_curl2d-sol_anal), np.inf)
sol_ana = self.M.edgeCurl*self.M.projectFaceVector(Ec)
err = np.linalg.norm((sol_curl2d-sol_ana), np.inf)
return err
@@ -86,13 +86,13 @@ class TestCellGrad1D_InhomogeneousDirichlet(OrderTest):
xc = sol(self.M.gridCC)
gradX_anal = fx(self.M.gridFx)
gradX_ana = fx(self.M.gridFx)
bc = np.array([1,1])
self.M.setCellGradBC('dirichlet')
gradX = self.M.cellGrad.dot(xc) + self.M.cellGradBC*bc
err = np.linalg.norm((gradX-gradX_anal), np.inf)
err = np.linalg.norm((gradX-gradX_ana), np.inf)
return err
@@ -114,12 +114,12 @@ class TestCellGrad2D_Dirichlet(OrderTest):
xc = call2(sol, self.M.gridCC)
Fc = cartF2(self.M, fx, fy)
gradX_anal = self.M.projectFaceVector(Fc)
gradX_ana = self.M.projectFaceVector(Fc)
self.M.setCellGradBC('dirichlet')
gradX = self.M.cellGrad.dot(xc)
err = np.linalg.norm((gradX-gradX_anal), np.inf)
err = np.linalg.norm((gradX-gradX_ana), np.inf)
return err
@@ -143,12 +143,12 @@ class TestCellGrad3D_Dirichlet(OrderTest):
xc = call3(sol, self.M.gridCC)
Fc = cartF3(self.M, fx, fy, fz)
gradX_anal = self.M.projectFaceVector(Fc)
gradX_ana = self.M.projectFaceVector(Fc)
self.M.setCellGradBC('dirichlet')
gradX = self.M.cellGrad.dot(xc)
err = np.linalg.norm((gradX-gradX_anal), np.inf)
err = np.linalg.norm((gradX-gradX_ana), np.inf)
return err
@@ -170,12 +170,12 @@ class TestCellGrad2D_Neumann(OrderTest):
xc = call2(sol, self.M.gridCC)
Fc = cartF2(self.M, fx, fy)
gradX_anal = self.M.projectFaceVector(Fc)
gradX_ana = self.M.projectFaceVector(Fc)
self.M.setCellGradBC('neumann')
gradX = self.M.cellGrad.dot(xc)
err = np.linalg.norm((gradX-gradX_anal), np.inf)
err = np.linalg.norm((gradX-gradX_ana), np.inf)
return err
@@ -199,12 +199,12 @@ class TestCellGrad3D_Neumann(OrderTest):
xc = call3(sol, self.M.gridCC)
Fc = cartF3(self.M, fx, fy, fz)
gradX_anal = self.M.projectFaceVector(Fc)
gradX_ana = self.M.projectFaceVector(Fc)
self.M.setCellGradBC('neumann')
gradX = self.M.cellGrad.dot(xc)
err = np.linalg.norm((gradX-gradX_anal), np.inf)
err = np.linalg.norm((gradX-gradX_ana), np.inf)
return err
@@ -227,14 +227,14 @@ class TestFaceDiv3D(OrderTest):
F = self.M.projectFaceVector(Fc)
divF = self.M.faceDiv.dot(F)
divF_anal = call3(sol, self.M.gridCC)
divF_ana = call3(sol, self.M.gridCC)
if self._meshType == 'rotateLRM':
# Really it is the integration we should be caring about:
# So, let us look at the l2 norm.
err = np.linalg.norm(self.M.vol*(divF-divF_anal), 2)
err = np.linalg.norm(self.M.vol*(divF-divF_ana), 2)
else:
err = np.linalg.norm((divF-divF_anal), np.inf)
err = np.linalg.norm((divF-divF_ana), np.inf)
return err
def test_order(self):
@@ -257,9 +257,9 @@ class TestFaceDiv2D(OrderTest):
F = self.M.projectFaceVector(Fc)
divF = self.M.faceDiv.dot(F)
divF_anal = call2(sol, self.M.gridCC)
divF_ana = call2(sol, self.M.gridCC)
err = np.linalg.norm((divF-divF_anal), np.inf)
err = np.linalg.norm((divF-divF_ana), np.inf)
return err
@@ -283,9 +283,9 @@ class TestNodalGrad(OrderTest):
gradE = self.M.nodalGrad.dot(phi)
Ec = cartE3(self.M, solX, solY, solZ)
gradE_anal = self.M.projectEdgeVector(Ec)
gradE_ana = self.M.projectEdgeVector(Ec)
err = np.linalg.norm((gradE-gradE_anal), np.inf)
err = np.linalg.norm((gradE-gradE_ana), np.inf)
return err
@@ -309,9 +309,9 @@ class TestNodalGrad2D(OrderTest):
gradE = self.M.nodalGrad.dot(phi)
Ec = cartE2(self.M, solX, solY)
gradE_anal = self.M.projectEdgeVector(Ec)
gradE_ana = self.M.projectEdgeVector(Ec)
err = np.linalg.norm((gradE-gradE_anal), np.inf)
err = np.linalg.norm((gradE-gradE_ana), np.inf)
return err