コード例 #1
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ファイル: test_molecule.py プロジェクト: jcheminform/spyrmsd
def test_graph_from_adjacency_matrix(mol: molecule.Molecule, n_bonds: int) -> None:

    G = mol.to_graph()

    assert graph.num_vertices(G) == len(mol)
    assert graph.num_edges(G) == n_bonds

    for idx, atomicnum in enumerate(mol.atomicnums):
        assert graph.vertex_property(G, "atomicnum", idx) == atomicnum
コード例 #2
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def test_adjacency_matrix_from_atomic_coordinates(mol: molecule.Molecule,
                                                  n_bonds: int) -> None:

    A = graph.adjacency_matrix_from_atomic_coordinates(mol.atomicnums,
                                                       mol.coordinates)

    G = graph.graph_from_adjacency_matrix(A)

    assert graph.num_vertices(G) == len(mol)
    assert graph.num_edges(G) == n_bonds
コード例 #3
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def test_graph_from_adjacency_matrix(mol) -> None:

    natoms = io.numatoms(mol)
    nbonds = io.numbonds(mol)

    A = io.adjacency_matrix(mol)

    assert A.shape == (natoms, natoms)
    assert np.alltrue(A == A.T)
    assert np.sum(A) == nbonds * 2

    G = graph.graph_from_adjacency_matrix(A)

    assert graph.num_vertices(G) == natoms
    assert graph.num_edges(G) == nbonds
コード例 #4
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ファイル: test_graph.py プロジェクト: bigginlab/spyrmsd
def test_adjacency_matrix_from_atomic_coordinates_distance() -> None:
    # Lithium hydride (LiH)
    # H and Li have very different covalent radii
    atomicnums = np.array([1, 3])

    # Distance is the sum of covalent radii
    d = sum([constants.anum_to_covalentradius[anum] for anum in atomicnums])

    # Distance between two atoms is barely enough to create a bond
    # If the covalent radii are not correct, no bond will be created
    coordinates = np.array(
        [[0, 0, 0], [0, 0, d + constants.connectivity_tolerance - 0.01]])

    A = graph.adjacency_matrix_from_atomic_coordinates(atomicnums, coordinates)
    G = graph.graph_from_adjacency_matrix(A)

    assert graph.num_edges(G) == 1
コード例 #5
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ファイル: test_molecule.py プロジェクト: bigginlab/spyrmsd
def test_graph_from_atomic_coordinates_perception(mol: molecule.Molecule,
                                                  n_bonds: int) -> None:

    m = copy.deepcopy(mol)

    delattr(m, "adjacency_matrix")
    m.G = None

    with pytest.warns(UserWarning):

        # Uses automatic bond perception
        G = m.to_graph()

        assert graph.num_vertices(G) == len(m)
        assert graph.num_edges(G) == n_bonds

        for idx, atomicnum in enumerate(mol.atomicnums):
            assert graph.vertex_property(G, "aprops", idx) == atomicnum
コード例 #6
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def test_graph_from_adjacency_matrix_atomicnums(rawmol, mol) -> None:

    natoms = io.numatoms(rawmol)
    nbonds = io.numbonds(rawmol)

    A = io.adjacency_matrix(rawmol)

    assert len(mol) == natoms
    assert mol.adjacency_matrix.shape == (natoms, natoms)
    assert np.alltrue(mol.adjacency_matrix == A)
    assert np.sum(mol.adjacency_matrix) == nbonds * 2

    G = mol.to_graph()

    assert graph.num_vertices(G) == natoms
    assert graph.num_edges(G) == nbonds

    for idx, atomicnum in enumerate(mol.atomicnums):
        assert graph.vertex_property(G, "atomicnum", idx) == atomicnum
コード例 #7
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ファイル: test_graph.py プロジェクト: bigginlab/spyrmsd
def test_build_graph_node_features(property) -> None:
    A = np.array([[0, 1, 1], [1, 0, 0], [1, 0, 1]])
    G = graph.graph_from_adjacency_matrix(A, property)

    assert graph.num_edges(G) == 3