Exemplo n.º 1
0
    def test_find_match2(self):
        sm = StructureMatcher(ltol=0.2,
                              stol=0.3,
                              angle_tol=5,
                              primitive_cell=True,
                              scale=True,
                              attempt_supercell=False)
        l = Lattice.orthorhombic(1, 2, 3)
        s1 = Structure(l, ['Si', 'Si'], [[0, 0, 0.1], [0, 0, 0.2]])
        s2 = Structure(l, ['Si', 'Si'], [[0, 0.1, 0], [0, 0.1, -0.95]])

        s1, s2, fu, s1_supercell = sm._preprocess(s1, s2, False)

        match = sm._strict_match(s1,
                                 s2,
                                 fu,
                                 s1_supercell=False,
                                 use_rms=True,
                                 break_on_match=False)
        scale_matrix = match[2]
        s2.make_supercell(scale_matrix)
        s2.translate_sites(range(len(s2)), match[3])

        self.assertAlmostEqual(np.sum(s2.frac_coords), 0.3)
        self.assertAlmostEqual(np.sum(s2.frac_coords[:, :2]), 0)
Exemplo n.º 2
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    def test_find_match1(self):
        sm = StructureMatcher(ltol=0.2,
                              stol=0.3,
                              angle_tol=5,
                              primitive_cell=True,
                              scale=True,
                              attempt_supercell=False)
        l = Lattice.orthorhombic(1, 2, 3)
        s1 = Structure(l, ['Si', 'Si', 'Ag'],
                       [[0, 0, 0.1], [0, 0, 0.2], [.7, .4, .5]])
        s2 = Structure(l, ['Si', 'Si', 'Ag'],
                       [[0, 0.1, 0], [0, 0.1, -0.95], [.7, .5, .375]])

        s1, s2, fu, s1_supercell = sm._preprocess(s1, s2, False)
        match = sm._strict_match(s1,
                                 s2,
                                 fu,
                                 s1_supercell=True,
                                 use_rms=True,
                                 break_on_match=False)
        scale_matrix = match[2]
        s2.make_supercell(scale_matrix)
        fc = s2.frac_coords + match[3]
        fc -= np.round(fc)
        self.assertAlmostEqual(np.sum(fc), 0.9)
        self.assertAlmostEqual(np.sum(fc[:, :2]), 0.1)
        cart_dist = np.sum(match[1] * (l.volume / 3)**(1 / 3))
        self.assertAlmostEqual(cart_dist, 0.15)
Exemplo n.º 3
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def get_matched_structure_mapping(base: Structure, inserted: Structure,
                                  sm: StructureMatcher):
    """
    Get the mapping from the inserted structure onto the base structure,
    assuming that the inserted structure sans the working ion is some kind
    of SC of the base.

    Args:
        base: host structure, smaller cell
        inserted: bigger cell
        sm: StructureMatcher instance

    Returns:
        sc_m : supercell matrix to apply to s1 to get s2
        total-t : translation to apply on s1 * sc_m to get s2
    """
    s1, s2 = sm._process_species([base, inserted])
    fu, _ = sm._get_supercell_size(s1, s2)
    try:
        val, dist, sc_m, total_t, mapping = sm._strict_match(s1,
                                                             s2,
                                                             fu=fu,
                                                             s1_supercell=True)
    except TypeError:
        return None
    sc = s1 * sc_m
    sc.lattice = Lattice.from_parameters(*sc.lattice.abc,
                                         *sc.lattice.angles,
                                         vesta=True)  # type: ignore
    return sc_m, total_t
Exemplo n.º 4
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    def test_find_match2(self):
        sm = StructureMatcher(ltol=0.2, stol=0.3, angle_tol=5, primitive_cell=True, scale=True, attempt_supercell=False)
        l = Lattice.orthorhombic(1, 2, 3)
        s1 = Structure(l, ["Si", "Si"], [[0, 0, 0.1], [0, 0, 0.2]])
        s2 = Structure(l, ["Si", "Si"], [[0, 0.1, 0], [0, 0.1, -0.95]])

        s1, s2, fu, s1_supercell = sm._preprocess(s1, s2, False)

        match = sm._strict_match(s1, s2, fu, s1_supercell=False, use_rms=True, break_on_match=False)
        scale_matrix = match[2]
        s2.make_supercell(scale_matrix)
        s2.translate_sites(range(len(s2)), match[3])

        self.assertAlmostEqual(np.sum(s2.frac_coords), 0.3)
        self.assertAlmostEqual(np.sum(s2.frac_coords[:, :2]), 0)
Exemplo n.º 5
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    def test_find_match1(self):
        sm = StructureMatcher(ltol=0.2, stol=0.3, angle_tol=5, primitive_cell=True, scale=True, attempt_supercell=False)
        l = Lattice.orthorhombic(1, 2, 3)
        s1 = Structure(l, ["Si", "Si", "Ag"], [[0, 0, 0.1], [0, 0, 0.2], [0.7, 0.4, 0.5]])
        s2 = Structure(l, ["Si", "Si", "Ag"], [[0, 0.1, 0], [0, 0.1, -0.95], [0.7, 0.5, 0.375]])

        s1, s2, fu, s1_supercell = sm._preprocess(s1, s2, False)
        match = sm._strict_match(s1, s2, fu, s1_supercell=True, use_rms=True, break_on_match=False)
        scale_matrix = match[2]
        s2.make_supercell(scale_matrix)
        fc = s2.frac_coords + match[3]
        fc -= np.round(fc)
        self.assertAlmostEqual(np.sum(fc), 0.9)
        self.assertAlmostEqual(np.sum(fc[:, :2]), 0.1)
        cart_dist = np.sum(match[1] * (l.volume / 3) ** (1 / 3))
        self.assertAlmostEqual(cart_dist, 0.15)