Exemplo n.º 1
0
def test_TFE_2Dx1D_scalar_triangle_hcurl():
    S = UFCTriangle()
    T = UFCInterval()
    P1 = Lagrange(S, 1)
    P1_DG = DiscontinuousLagrange(T, 1)

    elt = Hcurl(TensorProductElement(P1, P1_DG))
    assert elt.value_shape() == (3,)
    tab = elt.tabulate(1, [(0.1, 0.2, 0.3)])
    tabA = P1.tabulate(1, [(0.1, 0.2)])
    tabB = P1_DG.tabulate(1, [(0.3,)])
    for da, db in [[(0, 0), (0,)], [(1, 0), (0,)], [(0, 1), (0,)], [(0, 0), (1,)]]:
        dc = da + db
        assert tab[dc][0][0][0] == 0.0
        assert tab[dc][1][0][0] == 0.0
        assert tab[dc][2][0][0] == 0.0
        assert tab[dc][3][0][0] == 0.0
        assert tab[dc][4][0][0] == 0.0
        assert tab[dc][5][0][0] == 0.0
        assert tab[dc][0][1][0] == 0.0
        assert tab[dc][1][1][0] == 0.0
        assert tab[dc][2][1][0] == 0.0
        assert tab[dc][3][1][0] == 0.0
        assert tab[dc][4][1][0] == 0.0
        assert tab[dc][5][1][0] == 0.0
        assert np.isclose(tab[dc][0][2][0], tabA[da][0][0]*tabB[db][0][0])
        assert np.isclose(tab[dc][1][2][0], tabA[da][0][0]*tabB[db][1][0])
        assert np.isclose(tab[dc][2][2][0], tabA[da][1][0]*tabB[db][0][0])
        assert np.isclose(tab[dc][3][2][0], tabA[da][1][0]*tabB[db][1][0])
        assert np.isclose(tab[dc][4][2][0], tabA[da][2][0]*tabB[db][0][0])
        assert np.isclose(tab[dc][5][2][0], tabA[da][2][0]*tabB[db][1][0])
Exemplo n.º 2
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def test_TFE_2Dx1D_scalar_quad():
    T = UFCInterval()
    P1 = Lagrange(T, 1)
    P1_DG = DiscontinuousLagrange(T, 1)

    elt = TensorProductElement(TensorProductElement(P1, P1_DG), P1)
    assert elt.value_shape() == ()
    tab = elt.tabulate(1, [(0.1, 0.2, 0.3)])
    tA = P1.tabulate(1, [(0.1, )])
    tB = P1_DG.tabulate(1, [(0.2, )])
    tC = P1.tabulate(1, [(0.3, )])
    for da, db, dc in [[(0, ), (0, ), (0, )], [(1, ), (0, ), (0, )],
                       [(0, ), (1, ), (0, )], [(0, ), (0, ), (1, )]]:
        dd = da + db + dc
        assert np.isclose(tab[dd][0][0],
                          tA[da][0][0] * tB[db][0][0] * tC[dc][0][0])
        assert np.isclose(tab[dd][1][0],
                          tA[da][0][0] * tB[db][0][0] * tC[dc][1][0])
        assert np.isclose(tab[dd][2][0],
                          tA[da][0][0] * tB[db][1][0] * tC[dc][0][0])
        assert np.isclose(tab[dd][3][0],
                          tA[da][0][0] * tB[db][1][0] * tC[dc][1][0])
        assert np.isclose(tab[dd][4][0],
                          tA[da][1][0] * tB[db][0][0] * tC[dc][0][0])
        assert np.isclose(tab[dd][5][0],
                          tA[da][1][0] * tB[db][0][0] * tC[dc][1][0])
        assert np.isclose(tab[dd][6][0],
                          tA[da][1][0] * tB[db][1][0] * tC[dc][0][0])
        assert np.isclose(tab[dd][7][0],
                          tA[da][1][0] * tB[db][1][0] * tC[dc][1][0])
Exemplo n.º 3
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def test_TFE_2Dx1D_vector_triangle_hcurl():
    S = UFCTriangle()
    T = UFCInterval()
    Ned1 = Nedelec(S, 1)
    P1 = Lagrange(T, 1)

    elt = Hcurl(TensorProductElement(Ned1, P1))
    assert elt.value_shape() == (3, )
    tab = elt.tabulate(1, [(0.1, 0.2, 0.3)])
    tabA = Ned1.tabulate(1, [(0.1, 0.2)])
    tabB = P1.tabulate(1, [(0.3, )])
    for da, db in [[(0, 0), (0, )], [(1, 0), (0, )], [(0, 1), (0, )],
                   [(0, 0), (1, )]]:
        dc = da + db
        assert np.isclose(tab[dc][0][0][0], tabA[da][0][0][0] * tabB[db][0][0])
        assert np.isclose(tab[dc][1][0][0], tabA[da][0][0][0] * tabB[db][1][0])
        assert np.isclose(tab[dc][2][0][0], tabA[da][1][0][0] * tabB[db][0][0])
        assert np.isclose(tab[dc][3][0][0], tabA[da][1][0][0] * tabB[db][1][0])
        assert np.isclose(tab[dc][4][0][0], tabA[da][2][0][0] * tabB[db][0][0])
        assert np.isclose(tab[dc][5][0][0], tabA[da][2][0][0] * tabB[db][1][0])
        assert np.isclose(tab[dc][0][1][0], tabA[da][0][1][0] * tabB[db][0][0])
        assert np.isclose(tab[dc][1][1][0], tabA[da][0][1][0] * tabB[db][1][0])
        assert np.isclose(tab[dc][2][1][0], tabA[da][1][1][0] * tabB[db][0][0])
        assert np.isclose(tab[dc][3][1][0], tabA[da][1][1][0] * tabB[db][1][0])
        assert np.isclose(tab[dc][4][1][0], tabA[da][2][1][0] * tabB[db][0][0])
        assert np.isclose(tab[dc][5][1][0], tabA[da][2][1][0] * tabB[db][1][0])
        assert tab[dc][0][2][0] == 0.0
        assert tab[dc][1][2][0] == 0.0
        assert tab[dc][2][2][0] == 0.0
        assert tab[dc][3][2][0] == 0.0
        assert tab[dc][4][2][0] == 0.0
        assert tab[dc][5][2][0] == 0.0
Exemplo n.º 4
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def test_TFE_2Dx1D_vector_triangle_hcurl_rotate():
    S = UFCTriangle()
    T = UFCInterval()
    RT1 = RaviartThomas(S, 1)
    P1 = Lagrange(T, 1)

    elt = Hcurl(TensorProductElement(RT1, P1))
    assert elt.value_shape() == (3,)
    tab = elt.tabulate(1, [(0.1, 0.2, 0.3)])
    tabA = RT1.tabulate(1, [(0.1, 0.2)])
    tabB = P1.tabulate(1, [(0.3,)])
    for da, db in [[(0, 0), (0,)], [(1, 0), (0,)], [(0, 1), (0,)], [(0, 0), (1,)]]:
        dc = da + db
        assert np.isclose(tab[dc][0][0][0], -tabA[da][0][1][0]*tabB[db][0][0])
        assert np.isclose(tab[dc][1][0][0], -tabA[da][0][1][0]*tabB[db][1][0])
        assert np.isclose(tab[dc][2][0][0], -tabA[da][1][1][0]*tabB[db][0][0])
        assert np.isclose(tab[dc][3][0][0], -tabA[da][1][1][0]*tabB[db][1][0])
        assert np.isclose(tab[dc][4][0][0], -tabA[da][2][1][0]*tabB[db][0][0])
        assert np.isclose(tab[dc][5][0][0], -tabA[da][2][1][0]*tabB[db][1][0])
        assert np.isclose(tab[dc][0][1][0], tabA[da][0][0][0]*tabB[db][0][0])
        assert np.isclose(tab[dc][1][1][0], tabA[da][0][0][0]*tabB[db][1][0])
        assert np.isclose(tab[dc][2][1][0], tabA[da][1][0][0]*tabB[db][0][0])
        assert np.isclose(tab[dc][3][1][0], tabA[da][1][0][0]*tabB[db][1][0])
        assert np.isclose(tab[dc][4][1][0], tabA[da][2][0][0]*tabB[db][0][0])
        assert np.isclose(tab[dc][5][1][0], tabA[da][2][0][0]*tabB[db][1][0])
        assert tab[dc][0][2][0] == 0.0
        assert tab[dc][1][2][0] == 0.0
        assert tab[dc][2][2][0] == 0.0
        assert tab[dc][3][2][0] == 0.0
        assert tab[dc][4][2][0] == 0.0
        assert tab[dc][5][2][0] == 0.0
Exemplo n.º 5
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def test_TFE_1Dx1D_vector():
    T = UFCInterval()
    P1_DG = DiscontinuousLagrange(T, 1)
    P2 = Lagrange(T, 2)

    elt = TensorProductElement(P1_DG, P2)
    hdiv_elt = Hdiv(elt)
    hcurl_elt = Hcurl(elt)
    assert hdiv_elt.value_shape() == (2, )
    assert hcurl_elt.value_shape() == (2, )

    tabA = P1_DG.tabulate(1, [(0.1, )])
    tabB = P2.tabulate(1, [(0.2, )])

    hdiv_tab = hdiv_elt.tabulate(1, [(0.1, 0.2)])
    for da, db in [[(0, ), (0, )], [(1, ), (0, )], [(0, ), (1, )]]:
        dc = da + db
        assert hdiv_tab[dc][0][0][0] == 0.0
        assert hdiv_tab[dc][1][0][0] == 0.0
        assert hdiv_tab[dc][2][0][0] == 0.0
        assert hdiv_tab[dc][3][0][0] == 0.0
        assert hdiv_tab[dc][4][0][0] == 0.0
        assert hdiv_tab[dc][5][0][0] == 0.0
        assert np.isclose(hdiv_tab[dc][0][1][0],
                          tabA[da][0][0] * tabB[db][0][0])
        assert np.isclose(hdiv_tab[dc][1][1][0],
                          tabA[da][0][0] * tabB[db][1][0])
        assert np.isclose(hdiv_tab[dc][2][1][0],
                          tabA[da][0][0] * tabB[db][2][0])
        assert np.isclose(hdiv_tab[dc][3][1][0],
                          tabA[da][1][0] * tabB[db][0][0])
        assert np.isclose(hdiv_tab[dc][4][1][0],
                          tabA[da][1][0] * tabB[db][1][0])
        assert np.isclose(hdiv_tab[dc][5][1][0],
                          tabA[da][1][0] * tabB[db][2][0])

    hcurl_tab = hcurl_elt.tabulate(1, [(0.1, 0.2)])
    for da, db in [[(0, ), (0, )], [(1, ), (0, )], [(0, ), (1, )]]:
        dc = da + db
        assert np.isclose(hcurl_tab[dc][0][0][0],
                          tabA[da][0][0] * tabB[db][0][0])
        assert np.isclose(hcurl_tab[dc][1][0][0],
                          tabA[da][0][0] * tabB[db][1][0])
        assert np.isclose(hcurl_tab[dc][2][0][0],
                          tabA[da][0][0] * tabB[db][2][0])
        assert np.isclose(hcurl_tab[dc][3][0][0],
                          tabA[da][1][0] * tabB[db][0][0])
        assert np.isclose(hcurl_tab[dc][4][0][0],
                          tabA[da][1][0] * tabB[db][1][0])
        assert np.isclose(hcurl_tab[dc][5][0][0],
                          tabA[da][1][0] * tabB[db][2][0])
        assert hcurl_tab[dc][0][1][0] == 0.0
        assert hcurl_tab[dc][1][1][0] == 0.0
        assert hcurl_tab[dc][2][1][0] == 0.0
        assert hcurl_tab[dc][3][1][0] == 0.0
        assert hcurl_tab[dc][4][1][0] == 0.0
        assert hcurl_tab[dc][5][1][0] == 0.0
Exemplo n.º 6
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    def __init__(self, ref_el, degree):
        element = Lagrange(ref_el, degree)

        cell_dim = ref_el.get_dimension()
        assert cell_dim == max(element.entity_dofs().keys())
        cell_entity_dofs = element.entity_dofs()[cell_dim][0]
        if len(cell_entity_dofs) == 0:
            raise RuntimeError('Bubble element of degree %d has no dofs' %
                               degree)

        super(Bubble, self).__init__(element, indices=cell_entity_dofs)
Exemplo n.º 7
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def test_TFE_2Dx1D_vector_quad_hdiv():
    T = UFCInterval()
    P1 = Lagrange(T, 1)
    P0 = DiscontinuousLagrange(T, 0)
    P1_DG = DiscontinuousLagrange(T, 1)

    P1P0 = Hdiv(TensorProductElement(P1, P0))
    P0P1 = Hdiv(TensorProductElement(P0, P1))
    horiz_elt = EnrichedElement(P1P0, P0P1)
    elt = Hdiv(TensorProductElement(horiz_elt, P1_DG))
    assert elt.value_shape() == (3, )
    tab = elt.tabulate(1, [(0.1, 0.2, 0.3)])
    tA = P1.tabulate(1, [(0.1, )])
    tB = P0.tabulate(1, [(0.2, )])
    tC = P0.tabulate(1, [(0.1, )])
    tD = P1.tabulate(1, [(0.2, )])
    tE = P1_DG.tabulate(1, [(0.3, )])
    for da, db, dc in [[(0, ), (0, ), (0, )], [(1, ), (0, ), (0, )],
                       [(0, ), (1, ), (0, )], [(0, ), (0, ), (1, )]]:
        dd = da + db + dc
        assert np.isclose(tab[dd][0][0][0],
                          -tA[da][0][0] * tB[db][0][0] * tE[dc][0][0])
        assert np.isclose(tab[dd][1][0][0],
                          -tA[da][0][0] * tB[db][0][0] * tE[dc][1][0])
        assert np.isclose(tab[dd][2][0][0],
                          -tA[da][1][0] * tB[db][0][0] * tE[dc][0][0])
        assert np.isclose(tab[dd][3][0][0],
                          -tA[da][1][0] * tB[db][0][0] * tE[dc][1][0])
        assert tab[dd][4][0][0] == 0.0
        assert tab[dd][5][0][0] == 0.0
        assert tab[dd][6][0][0] == 0.0
        assert tab[dd][7][0][0] == 0.0
        assert tab[dd][0][1][0] == 0.0
        assert tab[dd][1][1][0] == 0.0
        assert tab[dd][2][1][0] == 0.0
        assert tab[dd][3][1][0] == 0.0
        assert np.isclose(tab[dd][4][1][0],
                          tC[da][0][0] * tD[db][0][0] * tE[dc][0][0])
        assert np.isclose(tab[dd][5][1][0],
                          tC[da][0][0] * tD[db][0][0] * tE[dc][1][0])
        assert np.isclose(tab[dd][6][1][0],
                          tC[da][0][0] * tD[db][1][0] * tE[dc][0][0])
        assert np.isclose(tab[dd][7][1][0],
                          tC[da][0][0] * tD[db][1][0] * tE[dc][1][0])
        assert tab[dd][0][2][0] == 0.0
        assert tab[dd][1][2][0] == 0.0
        assert tab[dd][2][2][0] == 0.0
        assert tab[dd][3][2][0] == 0.0
        assert tab[dd][4][2][0] == 0.0
        assert tab[dd][5][2][0] == 0.0
        assert tab[dd][6][2][0] == 0.0
        assert tab[dd][7][2][0] == 0.0
Exemplo n.º 8
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    def __init__(self, ref_el, degree, codim):
        element = Lagrange(ref_el, degree)

        cell_dim = ref_el.get_dimension()
        assert cell_dim == max(element.entity_dofs().keys())
        dofs = list(
            sorted(chain(*element.entity_dofs()[cell_dim - codim].values())))
        if len(dofs) == 0:
            raise RuntimeError(
                'Bubble element of degree %d and codimension %d has no dofs' %
                (degree, codim))

        super(CodimBubble, self).__init__(element, indices=dofs)
Exemplo n.º 9
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 def _setupElement(self):
     """
 Setup the finite element for reference cell.
 """
     from FIAT.lagrange import Lagrange
     from FIAT.reference_element import default_simplex
     return Lagrange(default_simplex(1), self.degree)
Exemplo n.º 10
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def test_TFE_1Dx1D_vector():
    T = UFCInterval()
    P1_DG = DiscontinuousLagrange(T, 1)
    P2 = Lagrange(T, 2)

    elt = TensorProductElement(P1_DG, P2)
    hdiv_elt = Hdiv(elt)
    hcurl_elt = Hcurl(elt)
    assert hdiv_elt.value_shape() == (2,)
    assert hcurl_elt.value_shape() == (2,)

    tabA = P1_DG.tabulate(1, [(0.1,)])
    tabB = P2.tabulate(1, [(0.2,)])

    hdiv_tab = hdiv_elt.tabulate(1, [(0.1, 0.2)])
    for da, db in [[(0,), (0,)], [(1,), (0,)], [(0,), (1,)]]:
        dc = da + db
        assert hdiv_tab[dc][0][0][0] == 0.0
        assert hdiv_tab[dc][1][0][0] == 0.0
        assert hdiv_tab[dc][2][0][0] == 0.0
        assert hdiv_tab[dc][3][0][0] == 0.0
        assert hdiv_tab[dc][4][0][0] == 0.0
        assert hdiv_tab[dc][5][0][0] == 0.0
        assert np.isclose(hdiv_tab[dc][0][1][0], tabA[da][0][0]*tabB[db][0][0])
        assert np.isclose(hdiv_tab[dc][1][1][0], tabA[da][0][0]*tabB[db][1][0])
        assert np.isclose(hdiv_tab[dc][2][1][0], tabA[da][0][0]*tabB[db][2][0])
        assert np.isclose(hdiv_tab[dc][3][1][0], tabA[da][1][0]*tabB[db][0][0])
        assert np.isclose(hdiv_tab[dc][4][1][0], tabA[da][1][0]*tabB[db][1][0])
        assert np.isclose(hdiv_tab[dc][5][1][0], tabA[da][1][0]*tabB[db][2][0])

    hcurl_tab = hcurl_elt.tabulate(1, [(0.1, 0.2)])
    for da, db in [[(0,), (0,)], [(1,), (0,)], [(0,), (1,)]]:
        dc = da + db
        assert np.isclose(hcurl_tab[dc][0][0][0], tabA[da][0][0]*tabB[db][0][0])
        assert np.isclose(hcurl_tab[dc][1][0][0], tabA[da][0][0]*tabB[db][1][0])
        assert np.isclose(hcurl_tab[dc][2][0][0], tabA[da][0][0]*tabB[db][2][0])
        assert np.isclose(hcurl_tab[dc][3][0][0], tabA[da][1][0]*tabB[db][0][0])
        assert np.isclose(hcurl_tab[dc][4][0][0], tabA[da][1][0]*tabB[db][1][0])
        assert np.isclose(hcurl_tab[dc][5][0][0], tabA[da][1][0]*tabB[db][2][0])
        assert hcurl_tab[dc][0][1][0] == 0.0
        assert hcurl_tab[dc][1][1][0] == 0.0
        assert hcurl_tab[dc][2][1][0] == 0.0
        assert hcurl_tab[dc][3][1][0] == 0.0
        assert hcurl_tab[dc][4][1][0] == 0.0
        assert hcurl_tab[dc][5][1][0] == 0.0
Exemplo n.º 11
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    def __init__(self, ref_el, m):
        from FIAT.lagrange import Lagrange
        vertices = Lagrange(ref_el, m).dual.get_nodes()
        pts = [v.get_point_dict().keys()[0] for v in vertices]
        npts = len(pts)
        wts = (ref_el.volume() / npts, ) * npts

        QuadratureRule.__init__(self, ref_el, pts, wts)
        return
Exemplo n.º 12
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def test_TFE_1Dx1D_scalar():
    T = UFCInterval()
    P1_DG = DiscontinuousLagrange(T, 1)
    P2 = Lagrange(T, 2)

    elt = TensorProductElement(P1_DG, P2)
    assert elt.value_shape() == ()
    tab = elt.tabulate(1, [(0.1, 0.2)])
    tabA = P1_DG.tabulate(1, [(0.1, )])
    tabB = P2.tabulate(1, [(0.2, )])
    for da, db in [[(0, ), (0, )], [(1, ), (0, )], [(0, ), (1, )]]:
        dc = da + db
        assert np.isclose(tab[dc][0][0], tabA[da][0][0] * tabB[db][0][0])
        assert np.isclose(tab[dc][1][0], tabA[da][0][0] * tabB[db][1][0])
        assert np.isclose(tab[dc][2][0], tabA[da][0][0] * tabB[db][2][0])
        assert np.isclose(tab[dc][3][0], tabA[da][1][0] * tabB[db][0][0])
        assert np.isclose(tab[dc][4][0], tabA[da][1][0] * tabB[db][1][0])
        assert np.isclose(tab[dc][5][0], tabA[da][1][0] * tabB[db][2][0])
Exemplo n.º 13
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def test_TFE_1Dx1D_scalar():
    T = UFCInterval()
    P1_DG = DiscontinuousLagrange(T, 1)
    P2 = Lagrange(T, 2)

    elt = TensorProductElement(P1_DG, P2)
    assert elt.value_shape() == ()
    tab = elt.tabulate(1, [(0.1, 0.2)])
    tabA = P1_DG.tabulate(1, [(0.1,)])
    tabB = P2.tabulate(1, [(0.2,)])
    for da, db in [[(0,), (0,)], [(1,), (0,)], [(0,), (1,)]]:
        dc = da + db
        assert np.isclose(tab[dc][0][0], tabA[da][0][0]*tabB[db][0][0])
        assert np.isclose(tab[dc][1][0], tabA[da][0][0]*tabB[db][1][0])
        assert np.isclose(tab[dc][2][0], tabA[da][0][0]*tabB[db][2][0])
        assert np.isclose(tab[dc][3][0], tabA[da][1][0]*tabB[db][0][0])
        assert np.isclose(tab[dc][4][0], tabA[da][1][0]*tabB[db][1][0])
        assert np.isclose(tab[dc][5][0], tabA[da][1][0]*tabB[db][2][0])
Exemplo n.º 14
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 def __new__(cls, ref_el, degree):
     dim = ref_el.get_spatial_dimension()
     if dim == 1:
         return Lagrange(ref_el, degree)
     elif dim == 0:
         raise IndexError("reference element cannot be dimension 0")
     else:
         self = super().__new__(cls)
         return self
Exemplo n.º 15
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def test_TFE_2Dx1D_vector_quad_hdiv():
    T = UFCInterval()
    P1 = Lagrange(T, 1)
    P0 = DiscontinuousLagrange(T, 0)
    P1_DG = DiscontinuousLagrange(T, 1)

    P1P0 = Hdiv(TensorProductElement(P1, P0))
    P0P1 = Hdiv(TensorProductElement(P0, P1))
    horiz_elt = EnrichedElement(P1P0, P0P1)
    elt = Hdiv(TensorProductElement(horiz_elt, P1_DG))
    assert elt.value_shape() == (3,)
    tab = elt.tabulate(1, [(0.1, 0.2, 0.3)])
    tA = P1.tabulate(1, [(0.1,)])
    tB = P0.tabulate(1, [(0.2,)])
    tC = P0.tabulate(1, [(0.1,)])
    tD = P1.tabulate(1, [(0.2,)])
    tE = P1_DG.tabulate(1, [(0.3,)])
    for da, db, dc in [[(0,), (0,), (0,)], [(1,), (0,), (0,)], [(0,), (1,), (0,)], [(0,), (0,), (1,)]]:
        dd = da + db + dc
        assert np.isclose(tab[dd][0][0][0], -tA[da][0][0]*tB[db][0][0]*tE[dc][0][0])
        assert np.isclose(tab[dd][1][0][0], -tA[da][0][0]*tB[db][0][0]*tE[dc][1][0])
        assert np.isclose(tab[dd][2][0][0], -tA[da][1][0]*tB[db][0][0]*tE[dc][0][0])
        assert np.isclose(tab[dd][3][0][0], -tA[da][1][0]*tB[db][0][0]*tE[dc][1][0])
        assert tab[dd][4][0][0] == 0.0
        assert tab[dd][5][0][0] == 0.0
        assert tab[dd][6][0][0] == 0.0
        assert tab[dd][7][0][0] == 0.0
        assert tab[dd][0][1][0] == 0.0
        assert tab[dd][1][1][0] == 0.0
        assert tab[dd][2][1][0] == 0.0
        assert tab[dd][3][1][0] == 0.0
        assert np.isclose(tab[dd][4][1][0], tC[da][0][0]*tD[db][0][0]*tE[dc][0][0])
        assert np.isclose(tab[dd][5][1][0], tC[da][0][0]*tD[db][0][0]*tE[dc][1][0])
        assert np.isclose(tab[dd][6][1][0], tC[da][0][0]*tD[db][1][0]*tE[dc][0][0])
        assert np.isclose(tab[dd][7][1][0], tC[da][0][0]*tD[db][1][0]*tE[dc][1][0])
        assert tab[dd][0][2][0] == 0.0
        assert tab[dd][1][2][0] == 0.0
        assert tab[dd][2][2][0] == 0.0
        assert tab[dd][3][2][0] == 0.0
        assert tab[dd][4][2][0] == 0.0
        assert tab[dd][5][2][0] == 0.0
        assert tab[dd][6][2][0] == 0.0
        assert tab[dd][7][2][0] == 0.0
Exemplo n.º 16
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def test_TFE_2Dx1D_scalar_triangle_hdiv():
    S = UFCTriangle()
    T = UFCInterval()
    P1_DG = DiscontinuousLagrange(S, 1)
    P2 = Lagrange(T, 2)

    elt = Hdiv(TensorProductElement(P1_DG, P2))
    assert elt.value_shape() == (3, )
    tab = elt.tabulate(1, [(0.1, 0.2, 0.3)])
    tabA = P1_DG.tabulate(1, [(0.1, 0.2)])
    tabB = P2.tabulate(1, [(0.3, )])
    for da, db in [[(0, 0), (0, )], [(1, 0), (0, )], [(0, 1), (0, )],
                   [(0, 0), (1, )]]:
        dc = da + db
        assert tab[dc][0][0][0] == 0.0
        assert tab[dc][1][0][0] == 0.0
        assert tab[dc][2][0][0] == 0.0
        assert tab[dc][3][0][0] == 0.0
        assert tab[dc][4][0][0] == 0.0
        assert tab[dc][5][0][0] == 0.0
        assert tab[dc][6][0][0] == 0.0
        assert tab[dc][7][0][0] == 0.0
        assert tab[dc][8][0][0] == 0.0
        assert tab[dc][0][1][0] == 0.0
        assert tab[dc][1][1][0] == 0.0
        assert tab[dc][2][1][0] == 0.0
        assert tab[dc][3][1][0] == 0.0
        assert tab[dc][4][1][0] == 0.0
        assert tab[dc][5][1][0] == 0.0
        assert tab[dc][6][1][0] == 0.0
        assert tab[dc][7][1][0] == 0.0
        assert tab[dc][8][1][0] == 0.0
        assert np.isclose(tab[dc][0][2][0], tabA[da][0][0] * tabB[db][0][0])
        assert np.isclose(tab[dc][1][2][0], tabA[da][0][0] * tabB[db][1][0])
        assert np.isclose(tab[dc][2][2][0], tabA[da][0][0] * tabB[db][2][0])
        assert np.isclose(tab[dc][3][2][0], tabA[da][1][0] * tabB[db][0][0])
        assert np.isclose(tab[dc][4][2][0], tabA[da][1][0] * tabB[db][1][0])
        assert np.isclose(tab[dc][5][2][0], tabA[da][1][0] * tabB[db][2][0])
        assert np.isclose(tab[dc][6][2][0], tabA[da][2][0] * tabB[db][0][0])
        assert np.isclose(tab[dc][7][2][0], tabA[da][2][0] * tabB[db][1][0])
        assert np.isclose(tab[dc][8][2][0], tabA[da][2][0] * tabB[db][2][0])
Exemplo n.º 17
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def test_TFE_2Dx1D_scalar_quad():
    T = UFCInterval()
    P1 = Lagrange(T, 1)
    P1_DG = DiscontinuousLagrange(T, 1)

    elt = TensorProductElement(TensorProductElement(P1, P1_DG), P1)
    assert elt.value_shape() == ()
    tab = elt.tabulate(1, [(0.1, 0.2, 0.3)])
    tA = P1.tabulate(1, [(0.1,)])
    tB = P1_DG.tabulate(1, [(0.2,)])
    tC = P1.tabulate(1, [(0.3,)])
    for da, db, dc in [[(0,), (0,), (0,)], [(1,), (0,), (0,)], [(0,), (1,), (0,)], [(0,), (0,), (1,)]]:
        dd = da + db + dc
        assert np.isclose(tab[dd][0][0], tA[da][0][0]*tB[db][0][0]*tC[dc][0][0])
        assert np.isclose(tab[dd][1][0], tA[da][0][0]*tB[db][0][0]*tC[dc][1][0])
        assert np.isclose(tab[dd][2][0], tA[da][0][0]*tB[db][1][0]*tC[dc][0][0])
        assert np.isclose(tab[dd][3][0], tA[da][0][0]*tB[db][1][0]*tC[dc][1][0])
        assert np.isclose(tab[dd][4][0], tA[da][1][0]*tB[db][0][0]*tC[dc][0][0])
        assert np.isclose(tab[dd][5][0], tA[da][1][0]*tB[db][0][0]*tC[dc][1][0])
        assert np.isclose(tab[dd][6][0], tA[da][1][0]*tB[db][1][0]*tC[dc][0][0])
        assert np.isclose(tab[dd][7][0], tA[da][1][0]*tB[db][1][0]*tC[dc][1][0])
Exemplo n.º 18
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def test_basis_derivatives_scaling():
    "Regression test for issue #9"
    class Interval(ReferenceElement):

        def __init__(self, a, b):
            verts = ((a,), (b,))
            edges = {0: (0, 1)}
            topology = {0: {0: (0,), 1: (1,)},
                        1: edges}
            super(Interval, self).__init__(LINE, verts, topology)

    random.seed(42)
    for i in range(26):
        a = 1000.0*(random.random() - 0.5)
        b = 1000.0*(random.random() - 0.5)
        a, b = min(a, b), max(a, b)

        interval = Interval(a, b)
        element = Lagrange(interval, 1)

        points = [(a,), (0.5*(a+b),), (b,)]
        tab = element.get_nodal_basis().tabulate(points, 2)

        # first basis function
        assert np.isclose(tab[(0,)][0][0], 1.0)
        assert np.isclose(tab[(0,)][0][1], 0.5)
        assert np.isclose(tab[(0,)][0][2], 0.0)
        # second basis function
        assert np.isclose(tab[(0,)][1][0], 0.0)
        assert np.isclose(tab[(0,)][1][1], 0.5)
        assert np.isclose(tab[(0,)][1][2], 1.0)

        # first and second derivatives
        D = 1.0 / (b - a)
        for p in range(len(points)):
            assert np.isclose(tab[(1,)][0][p], -D)
            assert np.isclose(tab[(1,)][1][p], +D)
            assert np.isclose(tab[(2,)][0][p], 0.0)
            assert np.isclose(tab[(2,)][1][p], 0.0)
Exemplo n.º 19
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def test_basis_derivatives_scaling():
    "Regression test for issue #9"

    class Interval(ReferenceElement):
        def __init__(self, a, b):
            verts = ((a, ), (b, ))
            edges = {0: (0, 1)}
            topology = {0: {0: (0, ), 1: (1, )}, 1: edges}
            super(Interval, self).__init__(LINE, verts, topology)

    random.seed(42)
    for i in range(26):
        a = 1000.0 * (random.random() - 0.5)
        b = 1000.0 * (random.random() - 0.5)
        a, b = min(a, b), max(a, b)

        interval = Interval(a, b)
        element = Lagrange(interval, 1)

        points = [(a, ), (0.5 * (a + b), ), (b, )]
        tab = element.get_nodal_basis().tabulate(points, 2)

        # first basis function
        assert np.isclose(tab[(0, )][0][0], 1.0)
        assert np.isclose(tab[(0, )][0][1], 0.5)
        assert np.isclose(tab[(0, )][0][2], 0.0)
        # second basis function
        assert np.isclose(tab[(0, )][1][0], 0.0)
        assert np.isclose(tab[(0, )][1][1], 0.5)
        assert np.isclose(tab[(0, )][1][2], 1.0)

        # first and second derivatives
        D = 1.0 / (b - a)
        for p in range(len(points)):
            assert np.isclose(tab[(1, )][0][p], -D)
            assert np.isclose(tab[(1, )][1][p], +D)
            assert np.isclose(tab[(2, )][0][p], 0.0)
            assert np.isclose(tab[(2, )][1][p], 0.0)
Exemplo n.º 20
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def test_flattened_against_tpe_quad():
    T = UFCInterval()
    P1 = Lagrange(T, 1)
    tpe_quad = TensorProductElement(P1, P1)
    flattened_quad = FlattenedDimensions(tpe_quad)
    assert tpe_quad.value_shape() == ()
    tpe_tab = tpe_quad.tabulate(1, [(0.1, 0.2)])
    flattened_tab = flattened_quad.tabulate(1, [(0.1, 0.2)])

    for da, db in [[(0, ), (0, )], [(1, ), (0, )], [(0, ), (1, )]]:
        dc = da + db
        assert np.isclose(tpe_tab[dc][0][0], flattened_tab[dc][0][0])
        assert np.isclose(tpe_tab[dc][1][0], flattened_tab[dc][1][0])
        assert np.isclose(tpe_tab[dc][2][0], flattened_tab[dc][2][0])
        assert np.isclose(tpe_tab[dc][3][0], flattened_tab[dc][3][0])
Exemplo n.º 21
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def test_flattened_against_tpe_hex():
    T = UFCInterval()
    P1 = Lagrange(T, 1)
    tpe_quad = TensorProductElement(P1, P1)
    tpe_hex = TensorProductElement(tpe_quad, P1)
    flattened_quad = FlattenedDimensions(tpe_quad)
    flattened_hex = FlattenedDimensions(
        TensorProductElement(flattened_quad, P1))
    assert tpe_quad.value_shape() == ()
    tpe_tab = tpe_hex.tabulate(1, [(0.1, 0.2, 0.3)])
    flattened_tab = flattened_hex.tabulate(1, [(0.1, 0.2, 0.3)])

    for da, db, dc in [[(0, ), (0, ), (0, )], [(1, ), (0, ), (0, )],
                       [(0, ), (1, ), (0, )], [(0, ), (0, ), (1, )]]:
        dd = da + db + dc
        assert np.isclose(tpe_tab[dd][0][0], flattened_tab[dd][0][0])
        assert np.isclose(tpe_tab[dd][1][0], flattened_tab[dd][1][0])
        assert np.isclose(tpe_tab[dd][2][0], flattened_tab[dd][2][0])
        assert np.isclose(tpe_tab[dd][3][0], flattened_tab[dd][3][0])
        assert np.isclose(tpe_tab[dd][4][0], flattened_tab[dd][4][0])
        assert np.isclose(tpe_tab[dd][5][0], flattened_tab[dd][5][0])
        assert np.isclose(tpe_tab[dd][6][0], flattened_tab[dd][6][0])
        assert np.isclose(tpe_tab[dd][7][0], flattened_tab[dd][7][0])
Exemplo n.º 22
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import os, sys

# Find PETSc/BuildSystem
if 'PETSC_DIR' in os.environ:
  configDir = os.path.join(os.environ['PETSC_DIR'], 'config')
  bsDir     = os.path.join(configDir, 'BuildSystem')
  sys.path.insert(0, bsDir)
  sys.path.insert(0, configDir)

import PETSc.FEM
from FIAT.reference_element import default_simplex
from FIAT.lagrange import Lagrange

generator  = PETSc.FEM.QuadratureGenerator()
generator.setup()
elements   = []
if not (len(sys.argv)-2) % 5 == 0:
  sys.exit('Incomplete set of arguments')
for n in range((len(sys.argv)-2) / 5):
  dim        = int(sys.argv[n*5+1])
  order      = int(sys.argv[n*5+2])
  components = int(sys.argv[n*5+3])
  numBlocks  = int(sys.argv[n*5+4])
  operator   = sys.argv[n*5+5]
  element    = Lagrange(default_simplex(dim), order)
  element.numComponents = components
  elements.append(element)
filename = sys.argv[-1]
generator.quadDegree = max([e.order for e in elements])
generator.run(elements, numBlocks, operator, filename)
Exemplo n.º 23
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    # Get coeffs of primal and dual bases w.r.t. expansion set
    coeffs_poly = poly_set.get_coeffs()
    coeffs_dual = dual_set.to_riesz(poly_set)
    assert coeffs_poly.shape == coeffs_dual.shape

    # Check nodality
    for i in range(coeffs_dual.shape[0]):
        for j in range(coeffs_poly.shape[0]):
            assert np.isclose(
                coeffs_dual[i].flatten().dot(coeffs_poly[j].flatten()),
                1.0 if i == j else 0.0)


@pytest.mark.parametrize('elements', [
    (Lagrange(I, 2), Bubble(I, 2)),
    (Lagrange(T, 3), Bubble(T, 3)),
    (Lagrange(S, 4), Bubble(S, 4)),
    (Lagrange(I, 1), Lagrange(I, 1)),
    (Lagrange(I, 1), Bubble(I, 2), Bubble(I, 2)),
])
def test_illposed_nodal_enriched(elements):
    """Check that nodal enriched element fails on ill-posed
    (non-unisolvent) case
    """
    with pytest.raises(np.linalg.LinAlgError):
        NodalEnrichedElement(*elements)


def test_empty_bubble():
    "Check that bubble of too low degree fails"
    sys.path.insert(0, bsDir)
    sys.path.insert(0, configDir)
    if os.path.isdir(os.path.join(fiatDir, 'FIAT')):
        sys.path.insert(0, fiatDir)

import PETSc.FEM
from FIAT.reference_element import default_simplex
from FIAT.lagrange import Lagrange
from FIAT.discontinuous_lagrange import DiscontinuousLagrange

generator = PETSc.FEM.QuadratureGenerator()
generator.setup()
elements = []
if not (len(sys.argv) - 2) % 5 == 0:
    sys.exit('Incomplete set of arguments')
for n in range((len(sys.argv) - 2) / 5):
    dim = int(sys.argv[n * 5 + 1])
    order = int(sys.argv[n * 5 + 2])
    components = int(sys.argv[n * 5 + 3])
    numBlocks = int(sys.argv[n * 5 + 4])
    operator = sys.argv[n * 5 + 5]
    if order == 0:
        element = DiscontinuousLagrange(default_simplex(1), order)
    else:
        element = Lagrange(default_simplex(1), order)
    element.numComponents = components
    elements.append(element)
filename = sys.argv[-1]
generator.quadDegree = max([e.order + 1 for e in elements])
generator.runTensorProduct(dim, elements, numBlocks, operator, filename)
Exemplo n.º 25
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import numpy
from FIAT.polynomial_set import mis
from FIAT.reference_element import default_simplex
from FIAT.quadrature import make_quadrature

order = 1
quadrature = make_quadrature(default_simplex(1), order)

from FIAT.lagrange import Lagrange

degree = 1
element = Lagrange(default_simplex(1), degree)

vertices = [n.get_point_dict().keys()[0] for n in element.dual.get_nodes()]

quadpts = numpy.array(quadrature.get_points(), dtype=numpy.float64)
quadwts = numpy.array(quadrature.get_weights(), dtype=numpy.float64)
numQuadPts = len(quadpts)
evals = element.get_nodal_basis().tabulate(quadrature.get_points(), 1)
basis = numpy.array(evals[mis(1, 0)[0]], dtype=numpy.float64).transpose()
numBasis = element.get_nodal_basis().get_num_members()
basisDeriv = numpy.array([evals[alpha] for alpha in mis(1, 1)], dtype=numpy.float64).transpose()

print "order: %d" % order
print "degree: %d" % degree
print "numQuadPts: %d" % numQuadPts
print "basis:" 
print basis
print "basisDeriv:"
print basisDeriv