analytic solution for displacement calculation
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@ -107,6 +107,33 @@ class TestGridFilters:
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assert np.allclose(grid_filters.displacement_point([1,1,1],F_no_avg),
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grid_filters.displacement_fluct_point([1,1,1],F_no_avg))
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displacement_fluct_test_data = [
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(['np.sin(np.pi*2*nodes[...,0]/size[0])', '0.0', '0.0',
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'0.0', '0.0', '0.0',
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'0.0', '0.0', '0.0'],
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['-np.cos(np.pi*2*nodes[...,0]/size[0])/np.pi/2*size[0]', '0.0', '0.0']),
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(['np.cos(np.pi*2*nodes[...,0]/size[0])', '0.0', '0.0',
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'0.0', '0.0', '0.0',
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'0.0', '0.0', 'np.cos(np.pi*2*nodes[...,2]/size[2])'],
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['np.sin(np.pi*2*nodes[...,0]/size[0])/np.pi/2*size[0]',
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'0.0',
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'np.sin(np.pi*2*nodes[...,2]/size[2])/np.pi/2*size[2]'])]
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@pytest.mark.parametrize('F_def,u_def',displacement_fluct_test_data)
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def test_displacment_fluct_analytic(self,F_def,u_def):
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size = np.random.random(3)+1.0
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cells = np.random.randint(8,32,(3))
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nodes = grid_filters.coordinates0_point(cells,size)
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my_locals = locals() # needed for list comprehension
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F = np.stack([np.broadcast_to(eval(F,globals(),my_locals),cells) for F in F_def],axis=-1).reshape(tuple(cells) + (3,3))
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u = np.stack([np.broadcast_to(eval(u,globals(),my_locals),cells) for u in u_def],axis=-1).reshape(tuple(cells) + (3,))
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assert np.allclose(u,grid_filters.displacement_fluct_point(size,F))
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@pytest.mark.parametrize('function',[grid_filters.cellsSizeOrigin_coordinates0_point,
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grid_filters.cellsSizeOrigin_coordinates0_node])
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def test_invalid_coordinates(self,function):
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