def test_kernel(self):
myci = select_ci.SCI()
e1, c1 = select_ci.kernel(h1, eri, norb, nelec)
e2, c2 = direct_spin1.kernel(h1, eri, norb, nelec)
self.assertAlmostEqual(e1, e2, 9)
self.assertAlmostEqual(abs(numpy.dot(c1.ravel(), c2.ravel())), 1, 9)
dm1_1 = myci.make_rdm1(c1, norb, nelec)
dm1_2 = direct_spin1.make_rdm1(c2, norb, nelec)
self.assertAlmostEqual(abs(dm1_1 - dm1_2).sum(), 0, 4)
dm2_1 = myci.make_rdm2(c1, norb, nelec)
dm2_2 = direct_spin1.make_rdm12(c2, norb, nelec)[1]
self.assertAlmostEqual(abs(dm2_1 - dm2_2).sum(), 0, 2)
def test_contract(self):
myci = select_ci.SCI()
ci0 = select_ci.to_fci(civec_strs, norb, nelec)
e1 = numpy.dot(
civec_strs.ravel(),
select_ci.contract_2e(eri, civec_strs, norb, nelec).ravel())
e2 = numpy.dot(ci0.ravel(),
direct_spin1.contract_2e(eri, ci0, norb, nelec).ravel())
self.assertAlmostEqual(e1, e2, 9)
dm1 = myci.make_rdm1(civec_strs, norb, nelec)
self.assertAlmostEqual(finger(dm1), 0.70181046385686563, 9)
dm1 = myci.trans_rdm1(civec_strs, civec_strs, norb, nelec)
self.assertAlmostEqual(finger(dm1), 0.70181046385686563, 9)
dm2 = myci.make_rdm2(civec_strs, norb, nelec)
self.assertAlmostEqual(finger(dm2), -3.8397469683353962, 9)
def test_h8(self):
mol = gto.Mole()
mol.verbose = 0
mol.output = None
mol.atom = [
['H', (1., -1., 0.)],
['H', (0., -1., -1.)],
['H', (1., -0.5, -1.)],
['H', (0., -0., -1.)],
['H', (1., -0.5, 0.)],
['H', (0., 1., 1.)],
['H', (1., 2., 3.)],
['H', (1., 2., 4.)],
]
mol.basis = 'sto-3g'
mol.build()
m = scf.RHF(mol).run()
norb = m.mo_coeff.shape[1]
nelec = mol.nelectron
h1e = reduce(numpy.dot, (m.mo_coeff.T, m.get_hcore(), m.mo_coeff))
eri = ao2mo.kernel(m._eri, m.mo_coeff, compact=False)
eri = eri.reshape(norb, norb, norb, norb)
myci = select_ci.SCI()
myci.select_cutoff = 1e-3
myci.ci_coeff_cutoff = 1e-3
e1, c1 = myci.kernel(h1e, eri, norb, nelec)
self.assertAlmostEqual(e1, -11.894613845925514, 9)
e, c = myci.kernel_fixed_space(h1e, eri, norb, nelec, c1._strs)
self.assertAlmostEqual(e, -11.894613845925514, 9)
res = myci.large_ci(c1, norb, nelec, .25)
self.assertEqual([x[1] for x in res],
['0b1111', '0b1111', '0b10111', '0b10111'])
self.assertEqual([x[2] for x in res],
['0b1111', '0b10111', '0b1111', '0b10111'])
res = myci.large_ci(c1, norb, nelec, .25, return_strs=False)
refa = numpy.array(
((0, 1, 2, 3), (0, 1, 2, 3), (0, 1, 2, 4), (0, 1, 2, 4)))
refb = numpy.array(
((0, 1, 2, 3), (0, 1, 2, 4), (0, 1, 2, 3), (0, 1, 2, 4)))
self.assertTrue(numpy.all([x[1] for x in res] == refa))
self.assertTrue(numpy.all([x[2] for x in res] == refb))
self.assertAlmostEqual(myci.spin_square(c1, norb, nelec)[0], 0, 2)
def test_enlarge_space(self):
myci = select_ci.SCI()
myci.select_cutoff = .1
myci.ci_coeff_cutoff = .01
cic = select_ci.enlarge_space(myci, civec_strs, eri, norb, nelec)
cis = cic._strs
self.assertEqual((len(cis[0]), len(cis[1])), (17, 18)) # 16,14
self.assertEqual(list(cis[0]), [
7, 11, 13, 14, 19, 21, 22, 25, 26, 28, 35, 37, 41, 42, 49, 52, 56
])
self.assertEqual(list(cis[1]), [
7, 11, 13, 14, 19, 21, 22, 25, 28, 35, 37, 38, 41, 44, 49, 50, 52,
56
])
self.assertAlmostEqual(
abs(cic[[0, 1, 5]][:, [0, 1, 2]] - ci_coeff).sum(), 0, 12)
def test_contract1(self):
myci = select_ci.SCI()
nelec = (4, 3)
strsa = cistring.gen_strings4orblist(range(norb), nelec[0])
strsb = cistring.gen_strings4orblist(range(norb), nelec[1])
ci0 = select_ci._as_SCIvector(
numpy.random.random((len(strsa), len(strsb))), (strsa, strsb))
h2 = ao2mo.restore(1, eri, norb)
c1 = myci.contract_2e(h2, ci0, norb, nelec)
c2 = direct_spin1.contract_2e(h2, ci0, norb, nelec)
self.assertAlmostEqual(abs(c1 - c2).sum(), 0, 9)
dm1_1 = myci.make_rdm1(c1, norb, nelec)
dm1_2 = direct_spin1.make_rdm1(c2, norb, nelec)
self.assertAlmostEqual(abs(dm1_1 - dm1_2).sum(), 0, 9)
dm2_1 = myci.make_rdm2(c1, norb, nelec)
dm2_2 = direct_spin1.make_rdm12(c2, norb, nelec)[1]
self.assertAlmostEqual(abs(dm2_1 - dm2_2).sum(), 0, 9)
def test_select_strs(self):
myci = select_ci.SCI()
myci.select_cutoff = 1e-3
norb, nelec = 10, 4
strs = cistring.gen_strings4orblist(range(norb), nelec)
numpy.random.seed(11)
mask = numpy.random.random(len(strs)) > .8
strs = strs[mask]
nn = norb * (norb + 1) // 2
eri = (numpy.random.random(nn * (nn + 1) // 2) - .2)**3
eri[eri < .1] *= 3e-3
eri = ao2mo.restore(1, eri, norb)
eri_pq_max = abs(eri.reshape(norb**2,
-1)).max(axis=1).reshape(norb, norb)
civec_max = numpy.random.random(len(strs))
strs_add0 = select_strs(myci, eri, eri_pq_max, civec_max, strs, norb,
nelec)
strs_add1 = select_ci.select_strs(myci, eri, eri_pq_max, civec_max,
strs, norb, nelec)
self.assertTrue(numpy.all(strs_add0 == strs_add1))
def test_select_strs1(self):
myci = select_ci.SCI()
myci.select_cutoff = .1
myci.ci_coeff_cutoff = .01
eri1 = ao2mo.restore(1, eri, norb)
eri_pq_max = abs(eri1.reshape(norb**2,
-1)).max(axis=1).reshape(norb, norb)
civec_a_max = abs(ci_coeff).max(axis=1)
civec_b_max = abs(ci_coeff).max(axis=0)
strs_add0 = select_strs(myci, eri1, eri_pq_max, civec_a_max,
ci_strs[0], norb, nelec // 2)
strs_add1 = select_ci.select_strs(myci, eri1, eri_pq_max, civec_a_max,
ci_strs[0], norb, nelec // 2)
self.assertTrue(numpy.all(strs_add0 == strs_add1))
strs_add0 = select_strs(myci, eri1, eri_pq_max, civec_b_max,
ci_strs[1], norb, nelec // 2)
strs_add1 = select_ci.select_strs(myci, eri1, eri_pq_max, civec_b_max,
ci_strs[1], norb, nelec // 2)
self.assertTrue(numpy.all(strs_add0 == strs_add1))