Source code for pyscf.df.grad.uhf

#!/usr/bin/env python
#
# This code was copied from the data generation program of Tencent Alchemy
# project (https://github.com/tencent-alchemy).
#

#
# Copyright 2019 Tencent America LLC. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# Author: Qiming Sun <osirpt.sun@gmail.com>
#

import numpy
from pyscf import lib
from pyscf.lib import logger
from pyscf.grad import uhf as uhf_grad
from pyscf.df.grad import rhf as df_rhf_grad




class Gradients(uhf_grad.Gradients):
    '''Unrestricted density-fitting Hartree-Fock gradients'''

    _keys = {'with_df', 'auxbasis_response'}

    def __init__(self, mf):
        # Whether to include the response of DF auxiliary basis when computing
        # nuclear gradients of J/K matrices
        self.auxbasis_response = True
        uhf_grad.Gradients.__init__(self, mf)

    get_jk = df_rhf_grad.Gradients.get_jk
    get_j = df_rhf_grad.Gradients.get_j
    get_k = df_rhf_grad.Gradients.get_k



    def get_veff(self, mol=None, dm=None):
        vj, vk = self.get_jk(mol, dm)
        vhf = vj[0]+vj[1] - vk
        if self.auxbasis_response:
            e1_aux = vj.aux.sum ((0,1))
            e1_aux -= numpy.trace (vk.aux, axis1=0, axis2=1)
            logger.debug1(self, 'sum(auxbasis response) %s', e1_aux.sum(axis=0))
            vhf = lib.tag_array(vhf, aux=e1_aux)
        return vhf




    def extra_force(self, atom_id, envs):
        if self.auxbasis_response:
            return envs['vhf'].aux[atom_id]
        else:
            return 0



Grad = Gradients