def __init__(self,mol,mints):
self.nocc = get_nocc(mol)
self.nbf = get_nbf(mints)
self.norb = 2*self.nbf
self.conv = get_conv()
self.maxiter = get_maxiter()
self.uhf = UHF(mol,mints)
self.E_uhf = self.uhf.get_energy()
self.e = self.uhf.e
self.g = self.uhf.g
self.C = self.uhf.C
def __init__(self,mol,mints):
self.nbf = get_nbf(mints)
self.nocc = get_nocc(mol)
uhf = UHF(mol,mints)
uhf.get_energy()
self.E0 = uhf.E
self.e = uhf.e
self.Gmo = transform_integrals(uhf.g, uhf.C)
self.norb = 2*self.nbf
self.nvirtual = self.norb - self.nocc
self.ndet = self.nvirtual*self.nocc
def __init__(self,mol,mints):
self.nbf = get_nbf(mints)
self.norb = 2* self.nbf
self.nocc = get_nocc(mol)
self.conv = get_conv()
self.maxiter = get_maxiter()
m = self.nbf
N = self.norb
# overlap matrix
S = mints.ao_overlap()
self.Z = block_oei(S)
self.X = np.matrix(la.funm(self.Z,lambda x : x**(-0.5)))
# KE matrix
T = mints.ao_kinetic()
self.T = block_oei(T)
# PE matrix
V = mints.ao_potential()
self.V = block_oei(V)
self.Vnu = mol.nuclear_repulsion_energy()
# Hcore
self.H = self.T + self.V
# ERI matrix
G = np.array( mints.ao_eri() ) #### mxmxmxm tensor
self.G = block_tei(G)
self.g = self.G.swapaxes(1,2) #### ( m n | r s ) -> < m r | n s >
# Density matrix
self.D = np.matrix(np.zeros(self.Z.shape))
self.E = 0.0