def test_drid_2():
n_frames = 3
n_atoms = 11
n_bonds = 5
top = md.Topology()
chain = top.add_chain()
residue = top.add_residue('X', chain)
for i in range(n_atoms):
top.add_atom('X', None, residue)
random = np.random.RandomState(0)
bonds = random.randint(n_atoms, size=(n_bonds, 2))
for a, b in bonds:
top.add_bond(top.atom(a), top.atom(b))
t = md.Trajectory(xyz=random.randn(n_frames, n_atoms, 3), topology=top)
got = compute_drid(t).reshape(n_frames, n_atoms, 3)
for i in range(n_frames):
recip = 1 / squareform(pdist(t.xyz[i]))
recip[np.diag_indices(n=recip.shape[0])] = np.nan
recip[bonds[:, 0], bonds[:, 1]] = np.nan
recip[bonds[:, 1], bonds[:, 0]] = np.nan
mean = nanmean(recip, axis=0)
second = nanmean((recip - mean)**2, axis=0)**(0.5)
third = scipy.special.cbrt(nanmean((recip - mean)**3, axis=0))
np.testing.assert_array_almost_equal(got[i, :, 0], mean, decimal=5)
np.testing.assert_array_almost_equal(got[i, :, 1], second, decimal=5)
np.testing.assert_array_almost_equal(got[i, :, 2], third, decimal=5)
def test_drid_2():
n_frames = 3
n_atoms = 11
n_bonds = 5
top = md.Topology()
chain = top.add_chain()
residue = top.add_residue('X', chain)
for i in range(n_atoms):
top.add_atom('X', None, residue)
random = np.random.RandomState(0)
bonds = random.randint(n_atoms, size=(n_bonds, 2))
for a, b in bonds:
top.add_bond(top.atom(a), top.atom(b))
t = md.Trajectory(xyz=random.randn(n_frames, n_atoms, 3), topology=top)
got = compute_drid(t).reshape(n_frames, n_atoms, 3)
for i in range(n_frames):
recip = 1 / squareform(pdist(t.xyz[i]))
recip[np.diag_indices(n=recip.shape[0])] = np.nan
recip[bonds[:, 0], bonds[:, 1]] = np.nan
recip[bonds[:, 1], bonds[:, 0]] = np.nan
mean = nanmean(recip, axis=0)
second = nanmean((recip - mean)**2, axis=0)**(0.5)
third = scipy.special.cbrt(nanmean((recip - mean)**3, axis=0))
np.testing.assert_array_almost_equal(got[i, :, 0], mean, decimal=5)
np.testing.assert_array_almost_equal(got[i, :, 1], second, decimal=5)
np.testing.assert_array_almost_equal(got[i, :, 2], third, decimal=5)
def test_drid_1():
n_frames = 1
n_atoms = 20
top = md.Topology()
chain = top.add_chain()
residue = top.add_residue('X', chain)
for i in range(n_atoms):
top.add_atom('X', None, residue)
t = md.Trajectory(xyz=np.random.RandomState(0).randn(n_frames, n_atoms, 3),
topology=top)
# t contains no bonds
got = compute_drid(t).reshape(n_frames, n_atoms, 3)
for i in range(n_atoms):
others = set(range(n_atoms)) - set([i])
rd = 1 / np.array(
[euclidean(t.xyz[0, i], t.xyz[0, e]) for e in others])
mean = np.mean(rd)
second = np.mean((rd - mean)**2)**(0.5)
third = scipy.special.cbrt(np.mean((rd - mean)**3))
ref = np.array([mean, second, third])
np.testing.assert_array_almost_equal(got[0, i], ref, decimal=5)
def test_drid_1():
n_frames = 1
n_atoms = 20
top = md.Topology()
chain = top.add_chain()
residue = top.add_residue('X', chain)
for i in range(n_atoms):
top.add_atom('X', None, residue)
t = md.Trajectory(xyz=np.random.RandomState(0).randn(n_frames, n_atoms, 3),
topology=top)
# t contains no bonds
got = compute_drid(t).reshape(n_frames, n_atoms, 3)
for i in range(n_atoms):
others = set(range(n_atoms)) - set([i])
rd = 1 / np.array([euclidean(t.xyz[0, i], t.xyz[0, e]) for e in others])
mean = np.mean(rd)
second = np.mean((rd - mean)**2)**(0.5)
third = scipy.special.cbrt(np.mean((rd - mean)**3))
ref = np.array([mean, second, third])
np.testing.assert_array_almost_equal(got[0, i], ref, decimal=5)
