Beispiel #1
0
    def test_1(self):
        Verts = array([[0.0,0.0],
                      [1.0,0.0],
                      [2.0,0.0],
                      [0.0,1.0],
                      [1.0,1.0],
                      [2.0,1.0],
                      [0.0,2.0],
                      [1.0,2.0],
                      [2.0,2.0],
                      [0.0,3.0],
                      [1.0,3.0],
                      [2.0,3.0]])

        E2V = array([[0,4,3],
                     [0,1,4],
                     [1,5,4],
                     [1,2,5],
                     [3,7,6],
                     [3,4,7],
                     [4,8,7],
                     [4,5,8],
                     [6,10,9],
                     [6,7,10],
                     [7,11,10],
                     [7,8,11]],dtype=uint32)

        row  = array([0,1,2,3,4,5,6,7,8,9,10,11])
        col  = array([1,0,1,1,0,1,0,1,0,1, 0, 1])
        data = ones((1,12),dtype=uint32).ravel()

        Agg = csr_matrix((data,(row,col)),shape=(12,2))

        vis_aggregate_groups(Verts=Verts, E2V=E2V, Agg=Agg, mesh_type='tri', fname = self.file_name)
Beispiel #2
0
    def test_2(self):
        Verts = array([[0.0, 0.0], [1.0, 0.0], [2.0, 0.0], [0.0, 1.0],
                       [1.0, 1.0], [2.0, 1.0], [3.0, 1.0], [0.0, 2.0],
                       [1.0, 2.0], [2.0, 2.0], [3.0, 2.0], [4.0, 2.0],
                       [0.0, 3.0], [1.0, 3.0], [2.0, 3.0], [3.0, 3.0],
                       [4.0, 3.0], [5.0, 3.0]])

        E2V = array([[0, 4, 3], [0, 1, 4], [1, 5, 4], [1, 2, 5], [2, 6, 5],
                     [3, 8, 7], [3, 4, 8], [4, 9, 8], [4, 5, 9], [5, 10, 9],
                     [5, 6, 10], [6, 11, 10], [7, 13, 12], [7, 8, 13],
                     [8, 14, 13], [8, 9, 14], [9, 15, 14], [9, 10, 15],
                     [10, 16, 15], [10, 11, 16], [11, 17, 16]],
                    dtype=uint32)

        row = array(
            [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17])
        col = array([0, 1, 3, 0, 1, 1, 3, 0, 0, 1, 3, 4, 0, 0, 0, 2, 4, 4])
        data = ones((1, 18), dtype=uint32).ravel()

        Agg = csr_matrix((data, (row, col)), shape=(18, 5))

        vis_aggregate_groups(Verts=Verts,
                             E2V=E2V,
                             Agg=Agg,
                             mesh_type='tri',
                             fname=self.file_name)
Beispiel #3
0
    def test_1(self):
        Verts = array([[0.0, 0.0],
                       [1.0, 0.0],
                       [2.0, 0.0],
                       [0.0, 1.0],
                       [1.0, 1.0],
                       [2.0, 1.0],
                       [0.0, 2.0],
                       [1.0, 2.0],
                       [2.0, 2.0],
                       [0.0, 3.0],
                       [1.0, 3.0],
                       [2.0, 3.0]])

        E2V = array([[0, 4, 3],
                     [0, 1, 4],
                     [1, 5, 4],
                     [1, 2, 5],
                     [3, 7, 6],
                     [3, 4, 7],
                     [4, 8, 7],
                     [4, 5, 8],
                     [6, 10, 9],
                     [6, 7, 10],
                     [7, 11, 10],
                     [7, 8, 11]], dtype=uint32)

        row = array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11])
        col = array([1, 0, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1])
        data = ones((1, 12), dtype=uint32).ravel()

        Agg = csr_matrix((data, (row, col)), shape=(12, 2))

        vis_aggregate_groups(Verts=Verts, E2V=E2V, Agg=Agg, mesh_type='tri',
                             fname=self.file_name)
Beispiel #4
0
    def test_2(self):
        Verts = array([[0.0, 0.0],
                      [1.0, 0.0],
                      [2.0, 0.0],
                      [0.0, 1.0],
                      [1.0, 1.0],
                      [2.0, 1.0],
                      [3.0, 1.0],
                      [0.0, 2.0],
                      [1.0, 2.0],
                      [2.0, 2.0],
                      [3.0, 2.0],
                      [4.0, 2.0],
                      [0.0, 3.0],
                      [1.0, 3.0],
                      [2.0, 3.0],
                      [3.0, 3.0],
                      [4.0, 3.0],
                      [5.0, 3.0]])

        E2V = array([[0, 4, 3],
                     [0, 1, 4],
                     [1, 5, 4],
                     [1, 2, 5],
                     [2, 6, 5],
                     [3, 8, 7],
                     [3, 4, 8],
                     [4, 9, 8],
                     [4, 5, 9],
                     [5, 10, 9],
                     [5, 6, 10],
                     [6, 11, 10],
                     [7, 13, 12],
                     [7, 8, 13],
                     [8, 14, 13],
                     [8, 9, 14],
                     [9, 15, 14],
                     [9, 10, 15],
                     [10, 16, 15],
                     [10, 11, 16],
                     [11, 17, 16]], dtype=uint32)

        row = array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9,
                     10, 11, 12, 13, 14, 15, 16, 17])
        col = array([0, 1, 3, 0, 1, 1, 3, 0, 0,
                     1, 3, 4, 0, 0, 0, 2, 4, 4])
        data = ones((1, 18), dtype=uint32).ravel()

        Agg = csr_matrix((data, (row, col)), shape=(18, 5))

        vis_aggregate_groups(Verts=Verts, E2V=E2V, Agg=Agg, mesh_type='tri',
                             fname=self.file_name)