def test_projection_tri_quad(self): from sfepy.discrete.projections import make_l2_projection source = FieldVariable('us', 'unknown', self.field) coors = self.field.get_coor() vals = nm.sin(2.0 * nm.pi * coors[:, 0] * coors[:, 1]) source.set_data(vals) name = op.join(self.options.out_dir, 'test_projection_tri_quad_source.vtk') source.save_as_mesh(name) mesh = Mesh.from_file('meshes/2d/square_quad.mesh', prefix_dir=sfepy.data_dir) domain = FEDomain('domain', mesh) omega = domain.create_region('Omega', 'all') field = Field.from_args('bilinear', nm.float64, 'scalar', omega, approx_order=1) target = FieldVariable('ut', 'unknown', field) make_l2_projection(target, source) name = op.join(self.options.out_dir, 'test_projection_tri_quad_target.vtk') target.save_as_mesh(name) bbox = self.field.domain.get_mesh_bounding_box() x = nm.linspace(bbox[0, 0] + 0.001, bbox[1, 0] - 0.001, 20) y = nm.linspace(bbox[0, 1] + 0.001, bbox[1, 1] - 0.001, 20) xx, yy = nm.meshgrid(x, y) test_coors = nm.c_[xx.ravel(), yy.ravel()].copy() vec1 = source.evaluate_at(test_coors) vec2 = target.evaluate_at(test_coors) ok = (nm.abs(vec1 - vec2) < 0.01).all() return ok
def test_projection_tri_quad(self): from sfepy.discrete.projections import make_l2_projection source = FieldVariable('us', 'unknown', self.field) coors = self.field.get_coor() vals = nm.sin(2.0 * nm.pi * coors[:,0] * coors[:,1]) source.set_data(vals) name = op.join(self.options.out_dir, 'test_projection_tri_quad_source.vtk') source.save_as_mesh(name) mesh = Mesh.from_file('meshes/2d/square_quad.mesh', prefix_dir=sfepy.data_dir) domain = FEDomain('domain', mesh) omega = domain.create_region('Omega', 'all') field = Field.from_args('bilinear', nm.float64, 'scalar', omega, approx_order=1) target = FieldVariable('ut', 'unknown', field) make_l2_projection(target, source) name = op.join(self.options.out_dir, 'test_projection_tri_quad_target.vtk') target.save_as_mesh(name) bbox = self.field.domain.get_mesh_bounding_box() x = nm.linspace(bbox[0, 0] + 0.001, bbox[1, 0] - 0.001, 20) y = nm.linspace(bbox[0, 1] + 0.001, bbox[1, 1] - 0.001, 20) xx, yy = nm.meshgrid(x, y) test_coors = nm.c_[xx.ravel(), yy.ravel()].copy() vec1 = source.evaluate_at(test_coors) vec2 = target.evaluate_at(test_coors) ok = (nm.abs(vec1 - vec2) < 0.01).all() return ok