/usr/share/pyshared/ase/cluster/base.py is in python-ase 3.6.0.2515-1.1.
This file is owned by root:root, with mode 0o644.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 | import numpy as np
class ClusterBase:
def get_layer_distance(self, miller, layers=1):
"""Returns the distance between planes defined by the given miller
index.
"""
n = self.miller_to_direction(miller)
d1 = d2 = 0.0
d = np.abs(np.sum(n * self.lattice_basis, axis=1))
mask = np.greater(d, 1e-10)
if mask.sum() > 0:
d1 = np.min(d[mask])
if len(self.atomic_basis) > 1:
atomic_basis = np.dot(self.atomic_basis, self.lattice_basis)
d = np.sum(n * atomic_basis, axis=1)
s = np.sign(d)
d = np.abs(d)
mask = np.greater(d, 1e-10)
if mask.sum() > 0:
d2 = np.min(d[mask])
s2 = s[mask][np.argmin(d[mask])]
if d2 > 1e-10:
if s2 < 0 and d1 - d2 > 1e-10:
d2 = d1 - d2
elif s2 < 0 and d2 - d1 > 1e-10:
d2 = 2 * d1 - d2
elif s2 > 0 and d2 - d1 > 1e-10:
d2 = d2 - d1
if np.abs(d1 - d2) < 1e-10:
ld = np.array([d1])
elif np.abs(d1 - 2 * d2) < 1e-10:
ld = np.array([d2])
else:
assert d1 > d2, "Something is wrong with the layer distance."
ld = np.array([d2, d1 - d2])
else:
ld = np.array([d1])
if len(ld) > 1:
if layers < 0:
ld = np.array([-ld[1], -ld[0]])
layers *= -1
map = np.arange(layers - (layers % 1), dtype=int) % len(ld)
r = ld[map].sum() + (layers % 1) * ld[np.abs(map[-1] - 1)]
else:
r = ld[0] * layers
return r
def miller_to_direction(self, miller, norm=True):
"""Returns the direction corresponding to a given Miller index."""
d = np.dot(miller, self.resiproc_basis)
if norm:
d = d / np.linalg.norm(d)
return d
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