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Tested averaging operators.
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@@ -264,10 +264,10 @@ class DiffOperators(object):
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if(self.dim == 1):
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self._aveF2CC = av(n[0])
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elif(self.dim == 2):
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self._aveF2CC = sp.hstack((sp.kron(speye(n[1]), av(n[0])),
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self._aveF2CC = (0.5)*sp.hstack((sp.kron(speye(n[1]), av(n[0])),
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sp.kron(av(n[1]), speye(n[0]))), format="csr")
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elif(self.dim == 3):
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self._aveF2CC = sp.hstack((kron3(speye(n[2]), speye(n[1]), av(n[0])),
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self._aveF2CC = (1./3.)*sp.hstack((kron3(speye(n[2]), speye(n[1]), av(n[0])),
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kron3(speye(n[2]), av(n[1]), speye(n[0])),
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kron3(av(n[2]), speye(n[1]), speye(n[0]))), format="csr")
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return self._aveF2CC
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@@ -285,10 +285,10 @@ class DiffOperators(object):
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if(self.dim == 1):
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raise Exception('Edge Averaging does not make sense in 1D: Use Identity?')
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elif(self.dim == 2):
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self._aveE2CC = sp.hstack((sp.kron(av(n[1]), speye(n[0])),
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self._aveE2CC = 0.5*sp.hstack((sp.kron(av(n[1]), speye(n[0])),
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sp.kron(speye(n[1]), av(n[0]))), format="csr")
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elif(self.dim == 3):
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self._aveE2CC = sp.hstack((kron3(av(n[2]), av(n[1]), speye(n[0])),
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self._aveE2CC = (1./3)*sp.hstack((kron3(av(n[2]), av(n[1]), speye(n[0])),
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kron3(av(n[2]), speye(n[1]), av(n[0])),
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kron3(speye(n[2]), av(n[1]), av(n[0]))), format="csr")
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return self._aveE2CC
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@@ -314,26 +314,47 @@ class DiffOperators(object):
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_aveN2CC = None
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aveN2CC = property(**aveN2CC())
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def aveN2CCv():
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doc = "Construct the averaging operator on cell nodes to cell centers, keeping each dimension separate."
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def aveN2E():
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doc = "Construct the averaging operator on cell nodes to cell edges, keeping each dimension separate."
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def fget(self):
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if(self._aveN2CCv is None):
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if(self._aveN2E is None):
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# The number of cell centers in each direction
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n = self.n
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if(self.dim == 1):
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self._aveN2CCv = av(n[0])
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self._aveN2E = av(n[0])
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elif(self.dim == 2):
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self._aveN2CCv = sp.block_diag((sp.kron(speye(n[1]), av(n[0])),
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sp.kron(av(n[1]), speye(n[0]))), format="csr")
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self._aveN2E = sp.vstack((sp.kron(speye(n[1]+1), av(n[0])),
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sp.kron(av(n[1]), speye(n[0]+1))), format="csr")
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elif(self.dim == 3):
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self._aveN2CCv = sp.block_diag((kron3(speye(n[2]), speye(n[1]), av(n[0])),
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kron3(speye(n[2]), av(n[1]), speye(n[0])),
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kron3(av(n[2]), speye(n[1]), speye(n[0]))), format="csr")
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return self._aveN2CCv
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self._aveN2E = sp.vstack((kron3(speye(n[2]+1), speye(n[1]+1), av(n[0])),
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kron3(speye(n[2]+1), av(n[1]), speye(n[0]+1)),
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kron3(av(n[2]), speye(n[1]+1), speye(n[0]+1))), format="csr")
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return self._aveN2E
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return locals()
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_aveN2CCv = None
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aveN2CCv = property(**aveN2CCv())
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_aveN2E = None
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aveN2E = property(**aveN2E())
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def aveN2F():
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doc = "Construct the averaging operator on cell nodes to cell faces, keeping each dimension separate."
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def fget(self):
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if(self._aveN2F is None):
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# The number of cell centers in each direction
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n = self.n
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if(self.dim == 1):
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self._aveN2F = av(n[0])
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elif(self.dim == 2):
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self._aveN2F = sp.vstack((sp.kron(av(n[1]), speye(n[0]+1)),
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sp.kron(speye(n[1]+1), av(n[0]))), format="csr")
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elif(self.dim == 3):
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self._aveN2F = sp.vstack((kron3(av(n[2]), av(n[1]), speye(n[0]+1)),
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kron3(av(n[2]), speye(n[1]+1), av(n[0])),
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kron3(speye(n[2]+1), av(n[1]), av(n[0]))), format="csr")
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return self._aveN2F
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return locals()
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_aveN2F = None
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aveN2F = property(**aveN2F())
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def getMass(self, materialProp=None, loc='e'):
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""" Produces mass matricies.
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@@ -45,8 +45,7 @@ class LogicallyOrthogonalMesh(BaseMesh, DiffOperators, InnerProducts, LomView):
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def fget(self):
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if self._gridCC is None:
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ccV = (self.aveN2CCv*mkvc(self.gridN))
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self._gridCC = ccV.reshape((-1, self.dim), order='F')
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self._gridCC = np.concatenate([self.aveN2CC*self.gridN[:,i] for i in range(self.dim)]).reshape((-1,self.dim), order='F')
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return self._gridCC
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return locals()
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_gridCC = None # Store grid by default
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@@ -83,11 +83,15 @@ class BasicLOMTests(unittest.TestCase):
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self.assertTrue(np.all(self.LOM3.r(N, 'F', 'Fz', 'V')[2] == np.ones(self.LOM3.nFv[2])))
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def test_grid(self):
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self.assertTrue(np.all(self.LOM2.gridCC == self.TM2.gridCC))
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self.assertTrue(np.all(self.LOM2.gridN == self.TM2.gridN))
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self.assertTrue(np.all(self.LOM2.gridFx == self.TM2.gridFx))
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self.assertTrue(np.all(self.LOM2.gridFy == self.TM2.gridFy))
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self.assertTrue(np.all(self.LOM2.gridEx == self.TM2.gridEx))
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self.assertTrue(np.all(self.LOM2.gridEy == self.TM2.gridEy))
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self.assertTrue(np.all(self.LOM3.gridCC == self.TM3.gridCC))
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self.assertTrue(np.all(self.LOM3.gridN == self.TM3.gridN))
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self.assertTrue(np.all(self.LOM3.gridFx == self.TM3.gridFx))
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self.assertTrue(np.all(self.LOM3.gridFy == self.TM3.gridFy))
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self.assertTrue(np.all(self.LOM3.gridFz == self.TM3.gridFz))
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@@ -155,6 +155,109 @@ class TestNodalGrad2D(OrderTest):
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def test_order(self):
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self.orderTest()
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class TestAveraging2D(OrderTest):
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name = "Averaging 2D"
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meshTypes = MESHTYPES
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meshDimension = 2
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def getError(self):
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num = self.getAve(self.M) * self.getHere(self.M)
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err = np.linalg.norm((self.getThere(self.M)-num), np.inf)
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return err
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def test_orderN2CC(self):
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self.name = "Averaging 2D: N2CC"
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fun = lambda x, y: (np.cos(x)+np.sin(y))
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self.getHere = lambda M: call2(fun, M.gridN)
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self.getThere = lambda M: call2(fun, M.gridCC)
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self.getAve = lambda M: M.aveN2CC
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self.orderTest()
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def test_orderN2F(self):
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self.name = "Averaging 2D: N2F"
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fun = lambda x, y: (np.cos(x)+np.sin(y))
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self.getHere = lambda M: call2(fun, M.gridN)
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self.getThere = lambda M: np.r_[call2(fun, M.gridFx), call2(fun, M.gridFy)]
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self.getAve = lambda M: M.aveN2F
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self.orderTest()
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def test_orderN2E(self):
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self.name = "Averaging 2D: N2E"
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fun = lambda x, y: (np.cos(x)+np.sin(y))
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self.getHere = lambda M: call2(fun, M.gridN)
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self.getThere = lambda M: np.r_[call2(fun, M.gridEx), call2(fun, M.gridEy)]
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self.getAve = lambda M: M.aveN2E
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self.orderTest()
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def test_orderF2CC(self):
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self.name = "Averaging 2D: F2CC"
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fun = lambda x, y: (np.cos(x)+np.sin(y))
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self.getHere = lambda M: np.r_[call2(fun, M.gridFx), call2(fun, M.gridFy)]
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self.getThere = lambda M: call2(fun, M.gridCC)
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self.getAve = lambda M: M.aveF2CC
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self.orderTest()
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def test_orderE2CC(self):
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self.name = "Averaging 2D: E2CC"
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fun = lambda x, y: (np.cos(x)+np.sin(y))
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self.getHere = lambda M: np.r_[call2(fun, M.gridEx), call2(fun, M.gridEy)]
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self.getThere = lambda M: call2(fun, M.gridCC)
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self.getAve = lambda M: M.aveE2CC
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self.orderTest()
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class TestAveraging3D(OrderTest):
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name = "Averaging 3D"
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meshTypes = MESHTYPES
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meshDimension = 3
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def getError(self):
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num = self.getAve(self.M) * self.getHere(self.M)
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err = np.linalg.norm((self.getThere(self.M)-num), np.inf)
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return err
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def test_orderN2CC(self):
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self.name = "Averaging 3D: N2CC"
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fun = lambda x, y, z: (np.cos(x)+np.sin(y)+np.exp(z))
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self.getHere = lambda M: call3(fun, M.gridN)
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self.getThere = lambda M: call3(fun, M.gridCC)
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self.getAve = lambda M: M.aveN2CC
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self.orderTest()
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def test_orderN2F(self):
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self.name = "Averaging 3D: N2F"
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fun = lambda x, y, z: (np.cos(x)+np.sin(y)+np.exp(z))
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self.getHere = lambda M: call3(fun, M.gridN)
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self.getThere = lambda M: np.r_[call3(fun, M.gridFx), call3(fun, M.gridFy), call3(fun, M.gridFz)]
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self.getAve = lambda M: M.aveN2F
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self.orderTest()
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def test_orderN2E(self):
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self.name = "Averaging 3D: N2E"
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fun = lambda x, y, z: (np.cos(x)+np.sin(y)+np.exp(z))
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self.getHere = lambda M: call3(fun, M.gridN)
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self.getThere = lambda M: np.r_[call3(fun, M.gridEx), call3(fun, M.gridEy), call3(fun, M.gridEz)]
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self.getAve = lambda M: M.aveN2E
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self.orderTest()
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def test_orderF2CC(self):
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self.name = "Averaging 3D: F2CC"
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fun = lambda x, y, z: (np.cos(x)+np.sin(y)+np.exp(z))
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self.getHere = lambda M: np.r_[call3(fun, M.gridFx), call3(fun, M.gridFy), call3(fun, M.gridFz)]
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self.getThere = lambda M: call3(fun, M.gridCC)
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self.getAve = lambda M: M.aveF2CC
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self.orderTest()
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def test_orderE2CC(self):
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self.name = "Averaging 3D: E2CC"
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fun = lambda x, y, z: (np.cos(x)+np.sin(y)+np.exp(z))
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self.getHere = lambda M: np.r_[call3(fun, M.gridEx), call3(fun, M.gridEy), call3(fun, M.gridEz)]
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self.getThere = lambda M: call3(fun, M.gridCC)
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self.getAve = lambda M: M.aveE2CC
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self.orderTest()
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if __name__ == '__main__':
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unittest.main()
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+980
-355
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