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Tests on Cell Grad (bug fixes for non-uniform mesh). and aveCC2F with extrapolation.
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@@ -49,6 +49,34 @@ class TestCurl(OrderTest):
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self.orderTest()
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class TestCellGrad1D_InhomogeneousDirichlet(OrderTest):
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name = "Cell Grad 1D - Dirichlet"
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meshTypes = ['uniformTensorMesh']
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meshDimension = 1
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expectedOrders = 1 # because of the averaging involved in the ghost point. u_b = (u_n + u_g)/2
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meshSizes = [8, 16, 32, 64]
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def getError(self):
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#Test function
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fx = lambda x: -2*np.pi*np.sin(2*np.pi*x)
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sol = lambda x: np.cos(2*np.pi*x)
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xc = sol(self.M.gridCC)
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gradX_anal = fx(self.M.gridFx)
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bc = np.array([1,1])
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self.M.setCellGradBC('dirichlet')
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gradX = self.M.cellGrad.dot(xc) + self.M.cellGradBC*bc
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err = np.linalg.norm((gradX-gradX_anal), np.inf)
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return err
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def test_order(self):
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self.orderTest()
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class TestCellGrad2D_Dirichlet(OrderTest):
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name = "Cell Grad 2D - Dirichlet"
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meshTypes = ['uniformTensorMesh']
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@@ -81,7 +109,7 @@ class TestCellGrad3D_Dirichlet(OrderTest):
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name = "Cell Grad 3D - Dirichlet"
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meshTypes = ['uniformTensorMesh']
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meshDimension = 3
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meshSizes = [8, 16, 32, 64]
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meshSizes = [8, 16, 32]
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def getError(self):
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#Test function
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@@ -137,7 +165,7 @@ class TestCellGrad3D_Neumann(OrderTest):
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name = "Cell Grad 3D - Neumann"
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meshTypes = ['uniformTensorMesh']
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meshDimension = 3
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meshSizes = [8, 16, 32, 64]
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meshSizes = [8, 16, 32]
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def getError(self):
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#Test function
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@@ -310,6 +338,16 @@ class TestAveraging2D(OrderTest):
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self.getAve = lambda M: M.aveF2CC
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self.orderTest()
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def test_orderCC2F(self):
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self.name = "Averaging 2D: CC2F"
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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.gridCC)
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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.aveCC2F
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self.expectedOrders = 1
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self.orderTest()
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self.expectedOrders = 2
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def test_orderE2CC(self):
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self.name = "Averaging 2D: E2CC"
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@@ -371,6 +409,17 @@ class TestAveraging3D(OrderTest):
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self.getAve = lambda M: M.aveE2CC
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self.orderTest()
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def test_orderCC2F(self):
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self.name = "Averaging 3D: CC2F"
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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.gridCC)
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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.aveCC2F
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self.expectedOrders = 1
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self.orderTest()
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self.expectedOrders = 2
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if __name__ == '__main__':
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unittest.main()
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