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QuantumPackage/bin/qp_convert_h5_to_ezfio

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#!/usr/bin/env python3
"""
convert hdf5 output (e.g. from PySCF) to ezfio
Usage:
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qp_convert_h5_to_ezfio [--noqmc] [--rmg] [-o EZFIO_DIR] FILE
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Options:
-o --output=EZFIO_DIR Produced directory
by default is FILE.ezfio
--noqmc don't include basis, cell, etc. for QMCPACK
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--rmg h5 contains cholesky decomposition informatin, these h5 result from RMG and the pyscf AFQMC converter of QMCPACK.
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"""
from ezfio import ezfio
import h5py
import sys
import numpy as np
import os
from docopt import docopt
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import gzip
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#fname = sys.argv[1]
#qph5name = sys.argv[2]
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def idx2_tri(i,j):
"""
for 0-indexed counting
"""
p = max(i,j)
q = min(i,j)
return q + (p*(p+1))//2
def idx2_tri_1(i,j):
"""
for 1-indexed counting
"""
p = max(i,j)
q = min(i,j)
return q + (p*(p-1))//2
def idx4_cplx_1(i,j,k,l):
"""
original function from qp2 (fortran counting)
"""
p = idx2_tri_1(i,k)
q = idx2_tri_1(j,l)
i1 = idx2_tri_1(p,q)
return (i1,p,q)
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def ao_idx_map_sign(i,j,k,l):
"""
qp2 indexing
"""
idx,ik,jl = idx4_cplx_1(i,j,k,l)
ij = idx2_tri_1(i,j)
kl = idx2_tri_1(k,l)
idx = 2*idx - 1
if (ij==kl):
sign = 0.0
use_map1 = False
else:
if ik==jl:
if i<k:
sign = 1.0
use_map1 = True
else:
sign = -1.0
use_map1 = True
elif i==k:
if j<l:
sign = 1.0
use_map1 = True
else:
sign = -1.0
use_map1 = True
elif j==l:
if i<k:
sign = 1.0
use_map1 = True
else:
sign = -1.0
use_map1 = True
elif ((i<k) == (j<l)):
if i<k:
sign = 1.0
use_map1 = True
else:
sign = -1.0
use_map1 = True
else:
if ((j<l) == (ik<jl)):
sign = 1.0
use_map1 = False
else:
sign = -1.0
use_map1 = False
return (idx, use_map1, sign)
def get_ao_int_cplx(i,j,k,l,map1,map2):
idx,use_m1,sgn = ao_idx_map_sign(i,j,k,l)
if use_m1:
tmp_re = map1[idx]
tmp_im = map1[idx+1]
tmp_im *= sgn
else:
tmp_re = map2[idx]
if sgn != 0.0:
tmp_im = map2[idx+1]
tmp_im *= sgn
else:
tmp_im = 0.0
return tmp_re + 1j*tmp_im
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def kconserv_p_from_qkk2_mk(qkk2,mk):
nk, nk2 = qkk2.shape
assert(nk == nk2)
kcon_p = np.zeros((nk,nk,nk),dtype=int)
for i in range(nk):
for j in range(nk):
for k in range(nk):
kcon_p[i,j,k] = qkk2[mk[j],qkk2[k,i]]
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assert(qkk2[mk[j],qkk2[k,i]] == qkk2[qkk2[j,k],i])
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return kcon_p
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def get_full_path(file_path):
file_path = os.path.expanduser(file_path)
file_path = os.path.expandvars(file_path)
# file_path = os.path.abspath(file_path)
return file_path
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def make_reim_identity_kblocks(nk,nm,na=None):
if na is None:
na = nm
single_block = np.eye(nm, na, dtype=np.complex128).view(dtype=np.float64).reshape((nm, na, 2))
kblocks = np.tile(single_block,[nk, 1, 1, 1])
return kblocks
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def make_reim_identity_block_diag(nk,nm,na=None):
from scipy.linalg import block_diag
kblocks = make_reim_identity_kblocks(nk,nm,na).view(dtype=np.complex128).squeeze()
kblockdiag = block_diag(*kblocks).view(dtype=np.float64).reshape((nk*nm,nk*na,2))
print(f'kblockdiag.shape = {kblockdiag.shape}')
return kblockdiag
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def flatten(l):
res = []
for i in l:
if hasattr(i, "__iter__") and not isinstance(i, str):
res.extend(flatten(i))
else:
res.append(i)
return res
def save_array_do(ezfioname,subdir,data,chunksize=16384):
dims = list(reversed(data.shape))
rank = len(dims)
flatdata = data.reshape(-1)
dim_max = 1
for i in dims:
dim_max *= i
with gzip.open(os.path.join(ezfioname,subdir)+'.gz','wb') as f:
f.write(f'{rank:3d}\n'.encode())
for d in dims:
f.write(f'{d:20d} '.encode())
f.write("\n".encode())
fmtstring = chunksize*'{:24.15E}\n'
for i in range(dim_max//chunksize):
#f.write((chunksize*'{:24.15E}\n').format(*flatdata[i*chunksize:(i+1)*chunksize]).encode())
#f.write(fmtstring.format(*flatdata[i*chunksize:(i+1)*chunksize]).encode())
f.write((''.join("%24.15E\n" % xi for xi in flatdata[i*chunksize:(i+1)*chunksize])).encode())
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print(f'{100.*i/(dim_max//chunksize):7.3f}% complete')
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rem = dim_max%chunksize
if rem:
f.write((rem*'{:24.15E}\n').format(*flatdata[-rem:]).encode())
return
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def convert_mol(filename,qph5path):
ezfio.set_file(filename)
ezfio.set_nuclei_is_complex(False)
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with h5py.File(qph5path,'r') as qph5:
nucl_num = qph5['nuclei'].attrs['nucl_num']
ao_num = qph5['ao_basis'].attrs['ao_num']
mo_num = qph5['mo_basis'].attrs['mo_num']
elec_alpha_num = qph5['electrons'].attrs['elec_alpha_num']
elec_beta_num = qph5['electrons'].attrs['elec_beta_num']
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ezfio.set_nuclei_nucl_num(nucl_num)
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ezfio.set_ao_basis_ao_num(ao_num)
ezfio.set_mo_basis_mo_num(mo_num)
ezfio.electrons_elec_alpha_num = elec_alpha_num
ezfio.electrons_elec_beta_num = elec_beta_num
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##ao_num = mo_num
##Important !
#import math
#nelec_per_kpt = num_elec // n_kpts
#nelec_alpha_per_kpt = int(math.ceil(nelec_per_kpt / 2.))
#nelec_beta_per_kpt = int(math.floor(nelec_per_kpt / 2.))
#
#ezfio.electrons_elec_alpha_num = int(nelec_alpha_per_kpt * n_kpts)
#ezfio.electrons_elec_beta_num = int(nelec_beta_per_kpt * n_kpts)
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#ezfio.electrons_elec_alpha_num = int(math.ceil(num_elec / 2.))
#ezfio.electrons_elec_beta_num = int(math.floor(num_elec / 2.))
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#ezfio.set_utils_num_kpts(n_kpts)
#ezfio.set_integrals_bielec_df_num(n_aux)
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#(old)Important
#ezfio.set_nuclei_nucl_num(nucl_num)
#ezfio.set_nuclei_nucl_charge([0.]*nucl_num)
#ezfio.set_nuclei_nucl_coord( [ [0.], [0.], [0.] ]*nucl_num )
#ezfio.set_nuclei_nucl_label( ['He'] * nucl_num )
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with h5py.File(qph5path,'r') as qph5:
nucl_charge=qph5['nuclei/nucl_charge'][()].tolist()
nucl_coord=qph5['nuclei/nucl_coord'][()].T.tolist()
nucl_label=qph5['nuclei/nucl_label'][()].tolist()
nuclear_repulsion = qph5['nuclei'].attrs['nuclear_repulsion']
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ezfio.set_nuclei_nucl_charge(nucl_charge)
ezfio.set_nuclei_nucl_coord(nucl_coord)
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if isinstance(nucl_label[0],bytes):
nucl_label = list(map(lambda x:x.decode(),nucl_label))
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ezfio.set_nuclei_nucl_label(nucl_label)
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ezfio.set_nuclei_io_nuclear_repulsion('Read')
ezfio.set_nuclei_nuclear_repulsion(nuclear_repulsion)
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##########################################
# #
# Basis #
# #
##########################################
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with h5py.File(qph5path,'r') as qph5:
do_pseudo = qph5['pseudo'].attrs['do_pseudo']
ezfio.set_pseudo_do_pseudo(do_pseudo)
if (do_pseudo):
ezfio.set_pseudo_pseudo_lmax(qph5['pseudo'].attrs['pseudo_lmax'])
ezfio.set_pseudo_pseudo_klocmax(qph5['pseudo'].attrs['pseudo_klocmax'])
ezfio.set_pseudo_pseudo_kmax(qph5['pseudo'].attrs['pseudo_kmax'])
ezfio.set_pseudo_nucl_charge_remove(qph5['pseudo/nucl_charge_remove'][()].tolist())
ezfio.set_pseudo_pseudo_n_k(qph5['pseudo/pseudo_n_k'][()].tolist())
ezfio.set_pseudo_pseudo_n_kl(qph5['pseudo/pseudo_n_kl'][()].tolist())
ezfio.set_pseudo_pseudo_v_k(qph5['pseudo/pseudo_v_k'][()].tolist())
ezfio.set_pseudo_pseudo_v_kl(qph5['pseudo/pseudo_v_kl'][()].tolist())
ezfio.set_pseudo_pseudo_dz_k(qph5['pseudo/pseudo_dz_k'][()].tolist())
ezfio.set_pseudo_pseudo_dz_kl(qph5['pseudo/pseudo_dz_kl'][()].tolist())
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##########################################
# #
# Basis #
# #
##########################################
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with h5py.File(qph5path,'r') as qph5:
#coeftmp = qph5['ao_basis/ao_coef'][()]
#expotmp = qph5['ao_basis/ao_expo'][()]
ezfio.set_ao_basis_ao_basis(qph5['ao_basis'].attrs['ao_basis'])
ezfio.set_ao_basis_ao_nucl(qph5['ao_basis/ao_nucl'][()].tolist())
ezfio.set_ao_basis_ao_prim_num(qph5['ao_basis/ao_prim_num'][()].tolist())
ezfio.set_ao_basis_ao_power(qph5['ao_basis/ao_power'][()].tolist())
ezfio.set_ao_basis_ao_coef(qph5['ao_basis/ao_coef'][()].tolist())
ezfio.set_ao_basis_ao_expo(qph5['ao_basis/ao_expo'][()].tolist())
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##########################################
# #
# MO Coef #
# #
##########################################
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with h5py.File(qph5path,'r') as qph5:
mo_coef = qph5['mo_basis/mo_coef'][()].tolist()
ezfio.set_mo_basis_mo_coef(mo_coef)
#maybe fix qp so we don't need this?
#ezfio.set_mo_basis_mo_coef([[i for i in range(mo_num)] * ao_num])
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return
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def convert_kpts_cd(filename,qph5path,qmcpack=True,is_ao=True):
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import json
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from scipy.linalg import block_diag
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#dump_fci, dump_cd = (False, False)
dump_fci, dump_cd = (True, False)
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#dump_fci, dump_cd = (False, True)
#dump_fci2 = True
dump_fci2 = False
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ezfio.set_file(filename)
ezfio.set_nuclei_is_complex(True)
# Dummy atom since AFQMC h5 has no atom information
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#nucl_num = 1
#ezfio.set_nuclei_nucl_num(nucl_num)
#ezfio.set_nuclei_nucl_charge([0.]*nucl_num)
#ezfio.set_nuclei_nucl_coord( [ [0.], [0.], [0.] ]*nucl_num )
#ezfio.set_nuclei_nucl_label( ['He'] * nucl_num )
with h5py.File(qph5path,'r') as qph5:
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kpt_num = qph5['Hamiltonian/KPoints'][()].shape[0]
ham_dims = qph5['Hamiltonian/dims'][()]
NMOPerKP = qph5['Hamiltonian/NMOPerKP'][()]
_, _, kpt_num, orb_num, elec_alpha_num_tot, elec_beta_num_tot, _, nchol_maybe = ham_dims
#for now, all kpts must have same number of MOs
for nmoi in NMOPerKP:
if nmoi != NMOPerKP[0]:
print("ERROR: all KPs must have same number of MOs")
raise ValueError
#TODO: fix na, nb in rmg
assert(elec_alpha_num_tot % kpt_num == 0)
assert(elec_beta_num_tot % kpt_num == 0)
elec_alpha_num_per_kpt = elec_alpha_num_tot // kpt_num
elec_beta_num_per_kpt = elec_beta_num_tot // kpt_num
#elec_alpha_num_per_kpt = qph5['Hamiltonian']['dims'][4]
#elec_beta_num_per_kpt = qph5['Hamiltonian']['dims'][5]
#orb_num = qph5['Hamiltonian']['dims'][3]
#try:
# is_ao = json.loads(qph5['metadata'][()].decode("utf-8").replace("'",'"'))['ortho_ao']
# if is_ao:
# ao_num = orb_num
# elif is_ao ==False:
# mo_num = orb_num
# else:
# raise ValueError('Problem with ortho_ao key in metadata')
#except:
# raise UnicodeDecodeError('metadata not correctly parsed from HDF5 file')
ezfio.set_nuclei_kpt_num(kpt_num)
kpt_pair_num = (kpt_num*kpt_num + kpt_num)//2
ezfio.set_nuclei_kpt_pair_num(kpt_pair_num)
# don't multiply nuclei by kpt_num
# work in k-space, not in equivalent supercell
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#nucl_num_per_kpt = nucl_num
#ezfio.set_nuclei_nucl_num(nucl_num_per_kpt)
# these are totals (kpt_num * num_per_kpt)
# need to change if we want to truncate orbital space within pyscf
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#if is_ao:
# ao_num = orb_num*kpt_num
#TODO: fix this?
ao_num_tot = orb_num
ao_num_per_kpt = NMOPerKP[0]
mo_num_tot = orb_num
mo_num_per_kpt = NMOPerKP[0]
#mo_num_per_kpt = ao_num_per_kpt
ezfio.set_ao_basis_ao_num(ao_num_per_kpt * kpt_num)
ezfio.set_mo_basis_mo_num(mo_num_per_kpt * kpt_num)
ezfio.set_ao_basis_ao_num_per_kpt(ao_num_per_kpt)
ezfio.set_mo_basis_mo_num_per_kpt(mo_num_per_kpt)
ezfio.electrons_elec_alpha_num = elec_alpha_num_per_kpt * kpt_num
ezfio.electrons_elec_beta_num = elec_beta_num_per_kpt * kpt_num
##########################################
# #
# Basis #
# #
##########################################
#TODO
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nucl_num = 1
ezfio.set_nuclei_nucl_num(nucl_num)
ezfio.set_nuclei_nucl_charge([0.]*nucl_num)
ezfio.set_nuclei_nucl_coord( [ [0.], [0.], [0.] ]*nucl_num )
ezfio.set_nuclei_nucl_label( ['He'] * nucl_num )
nucl_num_per_kpt = nucl_num
ezfio.set_nuclei_nucl_num(nucl_num_per_kpt)
ezfio.set_nuclei_io_kpt_symm('Read')
ezfio.set_ao_basis_ao_basis("dummy basis")
#nucleus on which each AO is centered
ao_nucl = [1 for i in range(ao_num_per_kpt)]*kpt_num
ezfio.set_ao_basis_ao_nucl(ao_nucl)
#Just need one (can clean this up later)
ao_prim_num_max = 5
d = [ [0] *ao_prim_num_max]*ao_num_tot
ezfio.set_ao_basis_ao_prim_num([ao_prim_num_max]*ao_num_tot)
ezfio.set_ao_basis_ao_power(d)
ezfio.set_ao_basis_ao_coef(d)
ezfio.set_ao_basis_ao_expo(d)
##########################################
# #
# MOCoeff #
# #
##########################################
#TODO
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#coef_per_kpt = np.eye(mo_num_per_kpt, ao_num_per_kpt, dtype=np.complex128).view(dtype=np.float64).reshape((mo_num_per_kpt, ao_num_per_kpt, 2))
#mo_coef_kpts = np.tile(coef_per_kpt,[kpt_num, 1, 1, 1])
#qph5.create_dataset('mo_basis/mo_coef_kpts',data=make_reim_identity_kblocks(kpt_num, mo_num_per_kpt, ao_num_per_kpt))
ezfio.set_mo_basis_mo_coef_kpts(make_reim_identity_kblocks(kpt_num, mo_num_per_kpt, ao_num_per_kpt))
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ezfio.set_mo_basis_mo_coef_complex(make_reim_identity_block_diag(kpt_num, mo_num_per_kpt, ao_num_per_kpt))
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##########################################
# #
# Integrals Mono #
# #
##########################################
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with h5py.File(qph5path,'r') as qph5:
# we don't have separate kinetic, nuc-elec, pseudo 1e ints, so just combine in nuc-elec and set rest to zero
mono_ints_tot = np.zeros((kpt_num,ao_num_per_kpt,ao_num_per_kpt,2),dtype=np.float64)
for i in range(kpt_num):
mono_ints_tot[i] = qph5[f'Hamiltonian/H1_kp{i}'][()]
ovlp_ao_reim = make_reim_identity_kblocks(kpt_num,ao_num_per_kpt,ao_num_per_kpt)
kin_ao_reim = np.zeros((kpt_num,ao_num_per_kpt,ao_num_per_kpt,2),dtype=np.float64)
ne_ao_reim = mono_ints_tot
ezfio.set_ao_one_e_ints_ao_integrals_kinetic_kpts(kin_ao_reim)
ezfio.set_ao_one_e_ints_ao_integrals_overlap_kpts(ovlp_ao_reim)
ezfio.set_ao_one_e_ints_ao_integrals_n_e_kpts(ne_ao_reim)
ezfio.set_ao_one_e_ints_io_ao_integrals_kinetic('Read')
ezfio.set_ao_one_e_ints_io_ao_integrals_overlap('Read')
ezfio.set_ao_one_e_ints_io_ao_integrals_n_e('Read')
"""
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with h5py.File(qph5path,'r') as qph5:
if is_ao:
kin_ao_reim=
ovlp_ao_reim=
ne_ao_reim=
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ezfio.set_ao_one_e_ints_ao_integrals_kinetic_kpts(kin_ao_reim)
ezfio.set_ao_one_e_ints_ao_integrals_overlap_kpts(ovlp_ao_reim)
ezfio.set_ao_one_e_ints_ao_integrals_n_e_kpts(ne_ao_reim)
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ezfio.set_ao_one_e_ints_io_ao_integrals_kinetic('Read')
ezfio.set_ao_one_e_ints_io_ao_integrals_overlap('Read')
ezfio.set_ao_one_e_ints_io_ao_integrals_n_e('Read')
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else:
kin_mo_reim=
ovlp_mo_reim=
ne_mo_reim=
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ezfio.set_mo_one_e_ints_mo_integrals_kinetic_kpts(kin_mo_reim)
ezfio.set_mo_one_e_ints_mo_integrals_overlap_kpts(ovlp_mo_reim)
ezfio.set_mo_one_e_ints_mo_integrals_n_e_kpts(ne_mo_reim)
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ezfio.set_mo_one_e_ints_io_mo_integrals_kinetic('Read')
ezfio.set_mo_one_e_ints_io_mo_integrals_overlap('Read')
ezfio.set_mo_one_e_ints_io_mo_integrals_n_e('Read')
"""
##########################################
# #
# k-points #
# #
##########################################
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#TODO
with h5py.File(qph5path,'r') as qph5:
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#kconserv = qph5['nuclei/kconserv'][()].tolist()
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minusk = qph5['Hamiltonian']['MinusK'][:]+1
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QKTok2 = qph5['Hamiltonian']['QKTok2'][:]+1
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#TODO: change this after rmg is fixed
#minusk = QKTok2[:,0]
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kconserv = kconserv_p_from_qkk2_mk(QKTok2-1,minusk-1)+1
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unique_kpt_num = len(qph5['Hamiltonian']['KPFactorized'])
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unique_k_idx = []
for i in qph5['Hamiltonian']['KPFactorized'].keys():
unique_k_idx.append(int(i[1:])+1)
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unique_k_idx.sort()
kpt_sparse_map = np.zeros(kpt_num,dtype=int)
isparse=0
#TODO: make robust: this assumes that for each pair, the one with data has a lower index
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for i in range(kpt_num):
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if i+1 in unique_k_idx:
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kpt_sparse_map[i] = isparse+1
isparse += 1
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else:
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kpt_sparse_map[i] = -kpt_sparse_map[minusk[i]-1]
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ezfio.set_nuclei_kconserv(kconserv.transpose(2,1,0))
ezfio.set_nuclei_io_kconserv('Read')
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ezfio.set_nuclei_minusk(minusk)
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ezfio.set_nuclei_qktok2(np.transpose(QKTok2)) #transposed for correct col-major ordering
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ezfio.set_nuclei_kpt_sparse_map(kpt_sparse_map)
ezfio.set_nuclei_unique_kpt_num(unique_kpt_num)
# kpt_sparse_map
# unique_kpt_num
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# io_kpt_symm
##########################################
# #
# Integrals Bi #
# #
##########################################
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# should this be in ao_basis? ao_two_e_ints?
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with h5py.File(qph5path,'r') as qph5:
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nchol_per_kpt_all = qph5['Hamiltonian']['NCholPerKP'][:]
print(nchol_per_kpt_all)
#nchol_per_kpt = nchol_per_kpt_all[nchol_per_kpt_all != 0]
nchol_per_kpt = nchol_per_kpt_all[np.array(unique_k_idx,dtype=int)-1]
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print(nchol_per_kpt)
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print(unique_k_idx)
#for i in range(kpt_num):
# if i+1 in unique_k_idx:
# print('* ',i,nchol_per_kpt_all[i])
# else:
# print(' ',i,nchol_per_kpt_all[i])
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nchol_per_kpt_max = max(nchol_per_kpt)
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ezfio.set_ao_two_e_ints_chol_num(nchol_per_kpt)
ezfio.set_ao_two_e_ints_chol_num_max(nchol_per_kpt_max)
if is_ao:
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#ao_num_per_kpt = ao_num//kpt_num
ezfio.set_ao_two_e_ints_io_chol_ao_integrals('Read')
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#ao_chol_two_e_ints = np.zeros((2, ao_num_per_kpt, ao_num_per_kpt, nchol_per_kpt_max, kpt_num, len(nchol_per_kpt)))
L_list = []
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L_all = np.zeros((unique_kpt_num, kpt_num, ao_num_per_kpt, ao_num_per_kpt, nchol_per_kpt_max,2),dtype=np.float64)
print(kpt_sparse_map)
print(np.array(unique_k_idx)-1)
for i in range(unique_kpt_num):
ki = unique_k_idx[i]-1
print(i, ki)
L_i = qph5[f'Hamiltonian/KPFactorized/L{ki}'][()].reshape((kpt_num, ao_num_per_kpt, ao_num_per_kpt, nchol_per_kpt[kpt_sparse_map[ki]-1], 2))
#L.reshape(kpt_num, ao_num_per_kpt, ao_num_per_kpt, nchol_per_kpt[i], 2)
#L = np.einsum("ijklm->ilkjm", A, B)
L_all[i,:,:,:,:nchol_per_kpt[kpt_sparse_map[ki]-1],:] = L_i
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#(6, 5184, 2)
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"""
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for cmplx in range(2):
for ao_idx_i in range(ao_num_per_kpt):
for ao_idx_j in range(ao_num_per_kpt):
for chol_idx in range(nchol_per_kpt[i]):
for kpt_idx in range(kpt_num):
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ao_chol_two_e_ints[cmplx][ao_idx_i][ao_idx_j][chol_idx][kpt_idx][i] = L[kpt_idx][ao_idx_i][ao_idx_j][chol_idx][cmplx]
"""
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#ao_chol_two_e_ints = np.vstack(L_list)
#ao_chol_two_e_ints = ao_chol_two_e_ints.transpose()
#TODO: check dims/reshape/transpose
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#ezfio.set_ao_two_e_ints_chol_ao_integrals_complex(L_all.transpose((5,2,3,4,1,0)))
ezfio.set_ao_two_e_ints_chol_ao_integrals_complex(L_all.transpose((0,1,4,3,2,5)))
def fortformat(x0):
x = f'{abs(x0):25.14E}'.strip()
xsign = '-' if (x0<0) else ''
e = x.find('E')
return xsign + f'0.{x[0]}{x[2:e]}{x[e:e+2]}{abs(int(x[e+1:])*1+1):02d}'
if dump_cd:
#for qi in range(unique_kpt_num):
# for ki in range(kpt_num):
# for i in range(ao_num_per_kpt):
# for j in range(ao_num_per_kpt):
# for ci in range(nchol_per_kpt_max):
# vr = L_all[qi,ki,i,j,ci,0]
# vi = L_all[qi,ki,i,j,ci,1]
# print(f'{qi:6d} {ki:6d} {i:6d} {j:6d} {ci:6d} {vr:25.15E} {vi:25.15E}')
Lnew = L_all.transpose((5,2,3,4,1,0))
#for qi in range(unique_kpt_num):
# for ki in range(kpt_num):
# for ci in range(nchol_per_kpt_max):
# for j in range(ao_num_per_kpt):
# for i in range(ao_num_per_kpt):
# vr = Lnew[0,i,j,ci,ki,qi]
# vi = Lnew[1,i,j,ci,ki,qi]
# print(f'{qi:6d} {ki:6d} {ci:6d} {j:6d} {i:6d} {vr:25.15E} {vi:25.15E}')
for qi in range(unique_kpt_num):
for ki in range(kpt_num):
for ci in range(nchol_per_kpt_max):
for i in range(ao_num_per_kpt):
for j in range(ao_num_per_kpt):
#vr = Lnew[0,i,j,ci,ki,qi]
#vi = Lnew[1,i,j,ci,ki,qi]
vr = L_all[qi,ki,i,j,ci,0]
vi = L_all[qi,ki,i,j,ci,1]
print(f'{qi+1:6d} {ki+1:6d} {ci+1:6d} {i+1:6d} {j+1:6d} {fortformat(vr):>25s} {fortformat(vi):>25s}')
if dump_fci:
Wfull = np.zeros((ao_num_tot, ao_num_tot, ao_num_tot, ao_num_tot), dtype=np.complex128)
for Qi in range(kpt_num):
Qloc = abs(kpt_sparse_map[Qi])-1
Qneg = (kpt_sparse_map[Qi] < 0)
LQ00 = L_all[Qloc]
#LQ0a = LQ00.view(dtype=np.complex128)
#print(f'LQ0a.shape {LQ0a.shape}')
#LQ0a1 = LQ0a.reshape((kpt_num,ao_num_per_kpt,ao_num_per_kpt,-1))
#print(f'LQ0a1.shape {LQ0a1.shape}')
LQ0 = LQ00[:,:,:,:,0] + 1j*LQ00[:,:,:,:,1]
#print(f'LQ0.shape {LQ0.shape}')
#print(f'abdiff {np.abs(LQ0a1 - LQ0).max()}')
for kp in range(kpt_num):
kr = QKTok2[Qi,kp]-1
for ks in range(kpt_num):
kq = QKTok2[Qi,ks]-1
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# 3
#if Qneg:
# A = LQ0[kr].transpose((1,0,2)).conj()
# B = LQ0[kq]
# W = np.einsum('prn,sqn->pqrs',A,B)
#else:
# A = LQ0[kp]
# B = LQ0[ks].transpose((1,0,2)).conj()
# W = np.einsum('rpn,qsn->pqrs',A,B)
# 4
#if Qneg:
# A = LQ0[kr].transpose((1,0,2)).conj()
# B = LQ0[kq].transpose((1,0,2))
# W = np.einsum('prn,sqn->pqrs',A,B)
#else:
# A = LQ0[kp]
# B = LQ0[ks].conj()
# W = np.einsum('prn,sqn->pqrs',A,B)
# 5
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#if Qneg:
# A = LQ0[kr].transpose((1,0,2)).conj()
# B = LQ0[kq].transpose((1,0,2))
# W = np.einsum('prn,qsn->pqrs',A,B)
#else:
# A = LQ0[kp]
# B = LQ0[ks].conj()
# W = np.einsum('prn,qsn->pqrs',A,B)
# 6
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if Qneg:
A = LQ0[kr].transpose((1,0,2)).conj()
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B = LQ0[kq].transpose((1,0,2))
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W = np.einsum('prn,sqn->pqrs',A,B)
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else:
A = LQ0[kp]
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B = LQ0[ks].conj()
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W = np.einsum('prn,sqn->pqrs',A,B)
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p0 = kp*ao_num_per_kpt
r0 = kr*ao_num_per_kpt
q0 = kq*ao_num_per_kpt
s0 = ks*ao_num_per_kpt
for ip in range(ao_num_per_kpt):
for iq in range(ao_num_per_kpt):
for ir in range(ao_num_per_kpt):
for i_s in range(ao_num_per_kpt):
v = W[ip,iq,ir,i_s]
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#print(f'{p0+ip:5d} {q0+iq:5d} {r0+ir:5d} {s0+i_s:5d} {v.real:25.15E} {v.imag:25.15E}')
print(f'{p0+ip:5d} {r0+ir:5d} {q0+iq:5d} {s0+i_s:5d} {v.real:25.15E} {v.imag:25.15E}')
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Wfull[p0:p0+ao_num_per_kpt,q0:q0+ao_num_per_kpt,r0:r0+ao_num_per_kpt,s0:s0+ao_num_per_kpt] = W.copy()
H1 = np.zeros((ao_num_tot, ao_num_tot), dtype=np.complex128)
for Qi in range(kpt_num):
hi0 = qph5[f'Hamiltonian/H1_kp{Qi}'][()]
hi = hi0[:,:,0] + 1j*hi0[:,:,1]
H1[Qi*ao_num_per_kpt:(Qi+1)*ao_num_per_kpt,Qi*ao_num_per_kpt:(Qi+1)*ao_num_per_kpt] = hi.copy()
mo_occ = ([1,]* elec_alpha_num_per_kpt + [0,] * (ao_num_per_kpt - elec_alpha_num_per_kpt)) * kpt_num
E1=0
E2j=0
E2k=0
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print("Jij Kij")
for i in range(ao_num_tot):
for j in range(ao_num_tot):
print(f'{i:5d} {j:5d} {i:5d} {j:5d} {Wfull[i,j,i,j].real:25.15E} {Wfull[i,j,i,j].imag:25.15E}')
print(f'{i:5d} {j:5d} {j:5d} {i:5d} {Wfull[i,j,j,i].real:25.15E} {Wfull[i,j,j,i].imag:25.15E}')
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for imo, iocc in enumerate(mo_occ):
if iocc:
E1 += 2*H1[imo,imo]
for jmo, jocc in enumerate(mo_occ):
if jocc:
E2j += 2* Wfull[imo,jmo,imo,jmo]
E2k -= Wfull[imo,jmo,jmo,imo]
print(f'E1 = {E1:25.15E}')
print(f'E2j = {E2j:25.15E}')
print(f'E2k = {E2k:25.15E}')
print(f'E2 = {E2j+E2k:25.15E}')
if dump_fci2:
ao_map1 = {}
ao_map2 = {}
ao_map1_idx = {}
ao_map2_idx = {}
Wdict = {}
for kQ in range(kpt_num):
for kl in range(kpt_num):
kj = QKTok2[kQ,kl]-1
if (kj>kl):
continue
kjkl2 = idx2_tri(kj,kl)
Qneg = (kpt_sparse_map[kQ] < 0)
Qloc = abs(kpt_sparse_map[kQ]) - 1
if not Qneg:
ints_jl0 = L_all[Qloc,kl,:,:,:,:]
ints_jl = ints_jl0[:,:,:,0]+1j*ints_jl0[:,:,:,1]
else:
ints_jl0 = L_all[Qloc,kj,:,:,:,:]
ints_jl1 = ints_jl0[:,:,:,0]+1j*ints_jl0[:,:,:,1]
ints_jl = ints_jl1.transpose((1,0,2)).conj()
for kk in range(kl+1):
ki = QKTok2[minusk[kk]-1,kQ]-1 #TODO: check
if ki != kconserv[kl,kk,kj]-1:
print(ki,kconserv[kl,kk,kj],kl,kk,kj)
assert( ki == kconserv[kl,kk,kj]-1) #TODO: check
if (ki > kl):
continue
kikk2 = idx2_tri(ki,kk)
if not Qneg:
ints_ik0 = L_all[Qloc,ki,:,:,:]
ints_ik = ints_ik0[:,:,:,0] + 1j*ints_ik0[:,:,:,1]
else:
ints_ik0 = L_all[Qloc,kk,:,:,:]
ints_ik1 = ints_ik0[:,:,:,0]+1j*ints_ik0[:,:,:,1]
ints_ik = ints_ik1.transpose((1,0,2)).conj()
ints_jl_flat = ints_jl.reshape((ao_num_per_kpt**2, -1))
ints_ik_flat = ints_ik.reshape((ao_num_per_kpt**2, -1))
ints_ikjl = np.einsum('an,bn->ab',ints_ik_flat,ints_jl_flat).reshape((ao_num_per_kpt,)*4)
for il in range(ao_num_per_kpt):
l = il + kl*ao_num_per_kpt
for ij in range(ao_num_per_kpt):
j = ij + kj*ao_num_per_kpt
if (j>l):
break
jl2 = idx2_tri(j,l)
for ik in range(ao_num_per_kpt):
k = ik + kk*ao_num_per_kpt
if (k>l):
break
for ii in range(ao_num_per_kpt):
i = ii + ki*ao_num_per_kpt
if ((j==l) and (i>k)):
break
ik2 = idx2_tri(i,k)
if (ik2 > jl2):
break
integral = ints_ikjl[ii,ik,ij,il]
if abs(integral) < 1E-15:
continue
idx_tmp,use_map1,sign = ao_idx_map_sign(i+1,j+1,k+1,l+1)
tmp_re = integral.real
tmp_im = integral.imag
Wdict[i,j,k,l] = tmp_re + 1j*tmp_im
if use_map1:
if idx_tmp in ao_map1:
print(idx_tmp,1)
raise
ao_map1[idx_tmp] = tmp_re
ao_map1_idx[idx_tmp] = (i,j,k,l,'re')
if sign != 0.0:
ao_map1[idx_tmp+1] = tmp_im*sign
ao_map1_idx[idx_tmp+1] = (i,j,k,l,'im')
else:
if idx_tmp in ao_map2:
print(idx_tmp,2)
raise
ao_map2[idx_tmp] = tmp_re
ao_map2_idx[idx_tmp] = (i,j,k,l,'re')
if sign != 0.0:
ao_map2[idx_tmp+1] = tmp_im*sign
ao_map2_idx[idx_tmp+1] = (i,j,k,l,'im')
# for idx in ao_map1:
# i,j,k,l,ax = ao_map1_idx[idx]
# print(f'1,{idx},{i},{j},{k},{l},{ax},{ao_map1[idx]}')
# for idx in ao_map2:
# i,j,k,l,ax = ao_map2_idx[idx]
# print(f'2,{idx},{i},{j},{k},{l},{ax},{ao_map2[idx]}')
for idx in Wdict:
i,j,k,l = idx
v = Wdict[idx]
print(f'{i+1:6d} {j+1:6d} {k+1:6d} {l+1:6d} {fortformat(v.real):>25s} {fortformat(v.imag):>25s}')
#for Qi in range(kpt_num):
# Qloc = abs(kpt_sparse_map[Qi])-1
# Qneg = (kpt_sparse_map[Qi] < 0)
# LQ00 = L_all[Qloc]
# #LQ0a = LQ00.view(dtype=np.complex128)
# #print(f'LQ0a.shape {LQ0a.shape}')
# #LQ0a1 = LQ0a.reshape((kpt_num,ao_num_per_kpt,ao_num_per_kpt,-1))
# #print(f'LQ0a1.shape {LQ0a1.shape}')
# LQ0 = LQ00[:,:,:,:,0] + 1j*LQ00[:,:,:,:,1]
# #print(f'LQ0.shape {LQ0.shape}')
# #print(f'abdiff {np.abs(LQ0a1 - LQ0).max()}')
#
# for kp in range(kpt_num):
# kr = QKTok2[Qi,kp]-1
# for ks in range(kpt_num):
# kq = QKTok2[Qi,ks]-1
# if Qneg:
# A = LQ0[kr].transpose((1,0,2)).conj()
# B = LQ0[kq]
# W = np.einsum('prn,sqn->pqrs',A,B)
# else:
# A = LQ0[kp]
# B = LQ0[ks].transpose((1,0,2)).conj()
# W = np.einsum('rpn,qsn->pqrs',A,B)
# p0 = kp*ao_num_per_kpt
# r0 = kr*ao_num_per_kpt
# q0 = kq*ao_num_per_kpt
# s0 = ks*ao_num_per_kpt
# for ip in range(ao_num_per_kpt):
# for iq in range(ao_num_per_kpt):
# for ir in range(ao_num_per_kpt):
# for i_s in range(ao_num_per_kpt):
# v = W[ip,iq,ir,i_s]
# print(f'{p0+ip:5d} {q0+iq:5d} {r0+ir:5d} {s0+i_s:5d} {v.real:25.15E} {v.imag:25.15E}')
# Wfull[p0:p0+ao_num_per_kpt,q0:q0+ao_num_per_kpt,r0:r0+ao_num_per_kpt,s0:s0+ao_num_per_kpt] = W.copy()
#H1 = np.zeros((ao_num_tot, ao_num_tot), dtype=np.complex128)
#for Qi in range(kpt_num):
# hi0 = qph5[f'Hamiltonian/H1_kp{Qi}'][()]
# hi = hi0[:,:,0] + 1j*hi0[:,:,1]
# H1[Qi*ao_num_per_kpt:(Qi+1)*ao_num_per_kpt,Qi*ao_num_per_kpt:(Qi+1)*ao_num_per_kpt] = hi.copy()
#mo_occ = ([1,]* elec_alpha_num_per_kpt + [0,] * (ao_num_per_kpt - elec_alpha_num_per_kpt)) * kpt_num
#E1=0
#E2j=0
#E2k=0
#for imo, iocc in enumerate(mo_occ):
# if iocc:
# E1 += 2*H1[imo,imo]
# for jmo, jocc in enumerate(mo_occ):
# if jocc:
# E2j += 2* Wfull[imo,jmo,imo,jmo]
# E2k -= Wfull[imo,jmo,jmo,imo]
#print(f'E1 = {E1:25.15E}')
#print(f'E2j = {E2j:25.15E}')
#print(f'E2k = {E2k:25.15E}')
#print(f'E2 = {E2j+E2k:25.15E}')
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#(2,ao_basis.ao_num_per_kpt,ao_basis.ao_num_per_kpt,ao_two_e_ints.chol_num_max,nuclei.kpt_num,nuclei.unique_kpt_num#)
"""
df_num = qph5['ao_two_e_ints'].attrs['df_num']
ezfio.set_ao_two_e_ints_df_num(df_num)
if 'df_ao_integrals' in qph5['ao_two_e_ints'].keys():
dfao_reim=qph5['ao_two_e_ints/df_ao_integrals'][()].tolist()
ezfio.set_ao_two_e_ints_df_ao_integrals_complex(dfao_reim)
ezfio.set_ao_two_e_ints_io_df_ao_integrals('Read')
"""
else:
"""
ezfio.set_io_chol_mo_integrals('Read')
df_num = qph5['ao_two_e_ints'].attrs['df_num']
ezfio.set_ao_two_e_ints_df_num(df_num)
dfmo_reim=qph5['mo_two_e_ints/df_mo_integrals'][()].tolist()
ezfio.set_mo_two_e_ints_df_mo_integrals_complex(dfmo_reim)
ezfio.set_mo_two_e_ints_io_df_mo_integrals('Read')
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"""
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#mo_num_per_kpt = ao_num//kpt_num
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ezfio.set_io_chol_mo_integrals('Read')
#ao_chol_two_e_ints = np.zeros((2, ao_num_per_kpt, ao_num_per_kpt, nchol_per_kpt_max, kpt_num, len(nchol_per_kpt)))
L_list = []
for i in len(nchol_per_kpt):
L = qph5['Hamiltonian']['KPFactorized'][f'L{i}'][:]
L.reshape(kpt_num, mo_num_per_kpt, mo_num_per_kpt, nchol_per_kpt[i], 2)
L = np.einsum("ijklm->ilkjm", A, B)
L_list.append(L)
#(6, 5184, 2)
"""
for cmplx in range(2):
for ao_idx_i in range(ao_num_per_kpt):
for ao_idx_j in range(ao_num_per_kpt):
for chol_idx in range(nchol_per_kpt[i]):
for kpt_idx in range(kpt_num):
ao_chol_two_e_ints[cmplx][ao_idx_i][ao_idx_j][chol_idx][kpt_idx][i] = L[kpt_idx][ao_idx_i][ao_idx_j][chol_idx][cmplx]
"""
mo_chol_two_e_ints = np.vstack(L_list)
mo_chol_two_e_ints = mo_chol_two_e_ints.transpose()
ezfio.set_chol_mo_integrals_complex(mo_chol_two_e_ints)
return
def convert_kpts(filename,qph5path,qmcpack=True):
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ezfio.set_file(filename)
ezfio.set_nuclei_is_complex(True)
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with h5py.File(qph5path,'r') as qph5:
kpt_num = qph5['nuclei'].attrs['kpt_num']
nucl_num = qph5['nuclei'].attrs['nucl_num']
ao_num = qph5['ao_basis'].attrs['ao_num']
mo_num = qph5['mo_basis'].attrs['mo_num']
elec_alpha_num = qph5['electrons'].attrs['elec_alpha_num']
elec_beta_num = qph5['electrons'].attrs['elec_beta_num']
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ezfio.set_nuclei_kpt_num(kpt_num)
kpt_pair_num = (kpt_num*kpt_num + kpt_num)//2
ezfio.set_nuclei_kpt_pair_num(kpt_pair_num)
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# don't multiply nuclei by kpt_num
# work in k-space, not in equivalent supercell
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nucl_num_per_kpt = nucl_num
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ezfio.set_nuclei_nucl_num(nucl_num_per_kpt)
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# these are totals (kpt_num * num_per_kpt)
# need to change if we want to truncate orbital space within pyscf
ezfio.set_ao_basis_ao_num(ao_num)
ezfio.set_mo_basis_mo_num(mo_num)
ezfio.set_ao_basis_ao_num_per_kpt(ao_num//kpt_num)
ezfio.set_mo_basis_mo_num_per_kpt(mo_num//kpt_num)
ezfio.electrons_elec_alpha_num = elec_alpha_num
ezfio.electrons_elec_beta_num = elec_beta_num
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##ao_num = mo_num
##Important !
#import math
#nelec_per_kpt = num_elec // n_kpts
#nelec_alpha_per_kpt = int(math.ceil(nelec_per_kpt / 2.))
#nelec_beta_per_kpt = int(math.floor(nelec_per_kpt / 2.))
#
#ezfio.electrons_elec_alpha_num = int(nelec_alpha_per_kpt * n_kpts)
#ezfio.electrons_elec_beta_num = int(nelec_beta_per_kpt * n_kpts)
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#ezfio.electrons_elec_alpha_num = int(math.ceil(num_elec / 2.))
#ezfio.electrons_elec_beta_num = int(math.floor(num_elec / 2.))
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#ezfio.set_utils_num_kpts(n_kpts)
#ezfio.set_integrals_bielec_df_num(n_aux)
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#(old)Important
#ezfio.set_nuclei_nucl_num(nucl_num)
#ezfio.set_nuclei_nucl_charge([0.]*nucl_num)
#ezfio.set_nuclei_nucl_coord( [ [0.], [0.], [0.] ]*nucl_num )
#ezfio.set_nuclei_nucl_label( ['He'] * nucl_num )
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with h5py.File(qph5path,'r') as qph5:
nucl_charge=qph5['nuclei/nucl_charge'][()].tolist()
nucl_coord=qph5['nuclei/nucl_coord'][()].T.tolist()
nucl_label=qph5['nuclei/nucl_label'][()].tolist()
nuclear_repulsion = qph5['nuclei'].attrs['nuclear_repulsion']
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ezfio.set_nuclei_nucl_charge(nucl_charge)
ezfio.set_nuclei_nucl_coord(nucl_coord)
if isinstance(nucl_label[0],bytes):
nucl_label = list(map(lambda x:x.decode(),nucl_label))
ezfio.set_nuclei_nucl_label(nucl_label)
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ezfio.set_nuclei_io_nuclear_repulsion('Read')
ezfio.set_nuclei_nuclear_repulsion(nuclear_repulsion)
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##########################################
# #
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# Basis(Dummy) #
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# #
##########################################
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with h5py.File(qph5path,'r') as qph5:
ezfio.set_ao_basis_ao_basis(qph5['ao_basis'].attrs['ao_basis'])
ezfio.set_ao_basis_ao_nucl(qph5['ao_basis/ao_nucl'][()].tolist())
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#Just need one (can clean this up later)
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ao_prim_num_max = 5
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d = [ [0] *ao_prim_num_max]*ao_num
ezfio.set_ao_basis_ao_prim_num([ao_prim_num_max]*ao_num)
ezfio.set_ao_basis_ao_power(d)
ezfio.set_ao_basis_ao_coef(d)
ezfio.set_ao_basis_ao_expo(d)
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###########################################
## #
## Pseudo #
## #
###########################################
#with h5py.File(qph5path,'r') as qph5:
# do_pseudo = qph5['pseudo'].attrs['do_pseudo']
# ezfio.set_pseudo_do_pseudo(do_pseudo)
# if (do_pseudo):
# ezfio.set_pseudo_pseudo_lmax(qph5['pseudo'].attrs['pseudo_lmax'])
# ezfio.set_pseudo_pseudo_klocmax(qph5['pseudo'].attrs['pseudo_klocmax'])
# ezfio.set_pseudo_pseudo_kmax(qph5['pseudo'].attrs['pseudo_kmax'])
# ezfio.set_pseudo_nucl_charge_remove(qph5['pseudo/nucl_charge_remove'][()].tolist())
# ezfio.set_pseudo_pseudo_n_k(qph5['pseudo/pseudo_n_k'][()].tolist())
# ezfio.set_pseudo_pseudo_n_kl(qph5['pseudo/pseudo_n_kl'][()].tolist())
# ezfio.set_pseudo_pseudo_v_k(qph5['pseudo/pseudo_v_k'][()].tolist())
# ezfio.set_pseudo_pseudo_v_kl(qph5['pseudo/pseudo_v_kl'][()].tolist())
# ezfio.set_pseudo_pseudo_dz_k(qph5['pseudo/pseudo_dz_k'][()].tolist())
# ezfio.set_pseudo_pseudo_dz_kl(qph5['pseudo/pseudo_dz_kl'][()].tolist())
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##########################################
# #
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# Basis(Dummy) #
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# #
##########################################
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#with h5py.File(qph5path,'r') as qph5:
# coeftmp = qph5['ao_basis/ao_coef'][()]
# expotmp = qph5['ao_basis/ao_expo'][()]
# ezfio.set_ao_basis_ao_basis(qph5['ao_basis'].attrs['ao_basis'])
# ezfio.set_ao_basis_ao_nucl(qph5['ao_basis/ao_nucl'][()].tolist())
# ezfio.set_ao_basis_ao_prim_num(qph5['ao_basis/ao_prim_num'][()].tolist())
# ezfio.set_ao_basis_ao_power(qph5['ao_basis/ao_power'][()].tolist())
# ezfio.set_ao_basis_ao_coef(qph5['ao_basis/ao_coef'][()].tolist())
# ezfio.set_ao_basis_ao_expo(qph5['ao_basis/ao_expo'][()].tolist())
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##########################################
# #
# Basis(QMC) #
# #
##########################################
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if qmcpack:
try:
with h5py.File(qph5path,'r') as qph5:
ezfio.set_qmcpack_qmc_nshell(qph5['qmcpack'].attrs['qmc_nshell'])
ezfio.set_qmcpack_qmc_prim_num_max(qph5['qmcpack'].attrs['qmc_prim_num_max'])
ezfio.set_qmcpack_qmc_nucl(qph5['qmcpack/qmc_nucl'][()].tolist())
ezfio.set_qmcpack_qmc_prim_num(qph5['qmcpack/qmc_prim_num'][()].tolist())
ezfio.set_qmcpack_qmc_lbas(qph5['qmcpack/qmc_lbas'][()].tolist())
ezfio.set_qmcpack_qmc_coef(qph5['qmcpack/qmc_coef'][()].tolist())
ezfio.set_qmcpack_qmc_expo(qph5['qmcpack/qmc_expo'][()].tolist())
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ezfio.set_qmcpack_qmc_pbc(qph5['qmcpack'].attrs['PBC'])
ezfio.set_qmcpack_qmc_cart(qph5['qmcpack'].attrs['cart'])
ezfio.set_qmcpack_qmc_pseudo(qph5['qmcpack'].attrs['Pseudo'])
ezfio.set_qmcpack_supertwist(qph5['qmcpack/Super_Twist'][()].tolist())
ezfio.set_qmcpack_latticevectors(qph5['qmcpack/LatticeVectors'][()].tolist())
ezfio.set_qmcpack_qmc_phase(qph5['qmcpack/qmc_phase'][()].tolist())
ezfio.set_qmcpack_qmc_mo_energy(qph5['qmcpack/eigenval'][()].tolist())
except AttributeError as err:
print("################################################")
print("# ERROR: problem copying QMCPACK data to ezfio #")
print("# make sure qmcpack plugin is built #")
print("################################################")
#print(f"AttributeError: {err}")
print("to create ezfio without qmcpack data, use 'qp_convert_h5_to_ezfio --noqmc'")
raise
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##########################################
# #
# MO Coef #
# #
##########################################
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with h5py.File(qph5path,'r') as qph5:
mo_coef_kpts = qph5['mo_basis/mo_coef_kpts'][()].tolist()
mo_coef_cplx = qph5['mo_basis/mo_coef_complex'][()].tolist()
ezfio.set_mo_basis_mo_coef_kpts(mo_coef_kpts)
ezfio.set_mo_basis_mo_coef_complex(mo_coef_cplx)
#maybe fix qp so we don't need this?
#ezfio.set_mo_basis_mo_coef([[i for i in range(mo_num)] * ao_num])
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##########################################
# #
# Integrals Mono #
# #
##########################################
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with h5py.File(qph5path,'r') as qph5:
if 'ao_one_e_ints' in qph5.keys():
kin_ao_reim=qph5['ao_one_e_ints/ao_integrals_kinetic_kpts'][()].tolist()
ovlp_ao_reim=qph5['ao_one_e_ints/ao_integrals_overlap_kpts'][()].tolist()
ne_ao_reim=qph5['ao_one_e_ints/ao_integrals_n_e_kpts'][()].tolist()
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ezfio.set_ao_one_e_ints_ao_integrals_kinetic_kpts(kin_ao_reim)
ezfio.set_ao_one_e_ints_ao_integrals_overlap_kpts(ovlp_ao_reim)
ezfio.set_ao_one_e_ints_ao_integrals_n_e_kpts(ne_ao_reim)
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ezfio.set_ao_one_e_ints_io_ao_integrals_kinetic('Read')
ezfio.set_ao_one_e_ints_io_ao_integrals_overlap('Read')
ezfio.set_ao_one_e_ints_io_ao_integrals_n_e('Read')
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with h5py.File(qph5path,'r') as qph5:
if 'mo_one_e_ints' in qph5.keys():
kin_mo_reim=qph5['mo_one_e_ints/mo_integrals_kinetic_kpts'][()].tolist()
ovlp_mo_reim=qph5['mo_one_e_ints/mo_integrals_overlap_kpts'][()].tolist()
ne_mo_reim=qph5['mo_one_e_ints/mo_integrals_n_e_kpts'][()].tolist()
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ezfio.set_mo_one_e_ints_mo_integrals_kinetic_kpts(kin_mo_reim)
ezfio.set_mo_one_e_ints_mo_integrals_overlap_kpts(ovlp_mo_reim)
#ezfio.set_mo_one_e_ints_mo_integrals_n_e_complex(ne_mo_reim)
ezfio.set_mo_one_e_ints_mo_integrals_n_e_kpts(ne_mo_reim)
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ezfio.set_mo_one_e_ints_io_mo_integrals_kinetic('Read')
ezfio.set_mo_one_e_ints_io_mo_integrals_overlap('Read')
#ezfio.set_mo_one_e_ints_io_mo_integrals_n_e('Read')
ezfio.set_mo_one_e_ints_io_mo_integrals_n_e('Read')
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##########################################
# #
# k-points #
# #
##########################################
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with h5py.File(qph5path,'r') as qph5:
kconserv = qph5['nuclei/kconserv'][()].tolist()
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ezfio.set_nuclei_kconserv(kconserv)
ezfio.set_nuclei_io_kconserv('Read')
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##########################################
# #
# Integrals Bi #
# #
##########################################
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# should this be in ao_basis? ao_two_e_ints?
with h5py.File(qph5path,'r') as qph5:
if 'ao_two_e_ints' in qph5.keys():
df_num = qph5['ao_two_e_ints'].attrs['df_num']
ezfio.set_ao_two_e_ints_df_num(df_num)
if 'df_ao_integrals' in qph5['ao_two_e_ints'].keys():
# dfao_re0=qph5['ao_two_e_ints/df_ao_integrals_real'][()].transpose((3,2,1,0))
# dfao_im0=qph5['ao_two_e_ints/df_ao_integrals_imag'][()].transpose((3,2,1,0))
# dfao_cmplx0 = np.stack((dfao_re0,dfao_im0),axis=-1).tolist()
# ezfio.set_ao_two_e_ints_df_ao_integrals_complex(dfao_cmplx0)
#dfao_reim=qph5['ao_two_e_ints/df_ao_integrals'][()].tolist()
dfao_reim=qph5['ao_two_e_ints/df_ao_integrals'][()]
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save_array_do(filename,'ao_two_e_ints/df_ao_integrals_complex',dfao_reim)
#ezfio.set_ao_two_e_ints_df_ao_integrals_complex(dfao_reim)
#dfao_dims = list(reversed(dfao_reim.shape))
#test_write_df_ao(,5,dfao_dims,dfao_reim.size,dfao_reim.ravel())
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ezfio.set_ao_two_e_ints_io_df_ao_integrals('Read')
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if 'mo_two_e_ints' in qph5.keys():
df_num = qph5['ao_two_e_ints'].attrs['df_num']
ezfio.set_ao_two_e_ints_df_num(df_num)
# dfmo_re0=qph5['mo_two_e_ints/df_mo_integrals_real'][()].transpose((3,2,1,0))
# dfmo_im0=qph5['mo_two_e_ints/df_mo_integrals_imag'][()].transpose((3,2,1,0))
# dfmo_cmplx0 = np.stack((dfmo_re0,dfmo_im0),axis=-1).tolist()
# ezfio.set_mo_two_e_ints_df_mo_integrals_complex(dfmo_cmplx0)
dfmo_reim=qph5['mo_two_e_ints/df_mo_integrals'][()].tolist()
ezfio.set_mo_two_e_ints_df_mo_integrals_complex(dfmo_reim)
ezfio.set_mo_two_e_ints_io_df_mo_integrals('Read')
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return
def convert_cplx(filename,qph5path):
ezfio.set_file(filename)
ezfio.set_nuclei_is_complex(True)
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with h5py.File(qph5path,'r') as qph5:
kpt_num = qph5['nuclei'].attrs['kpt_num']
nucl_num = qph5['nuclei'].attrs['nucl_num']
ao_num = qph5['ao_basis'].attrs['ao_num']
mo_num = qph5['mo_basis'].attrs['mo_num']
elec_alpha_num = qph5['electrons'].attrs['elec_alpha_num']
elec_beta_num = qph5['electrons'].attrs['elec_beta_num']
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ezfio.set_nuclei_kpt_num(kpt_num)
kpt_pair_num = (kpt_num*kpt_num + kpt_num)//2
ezfio.set_nuclei_kpt_pair_num(kpt_pair_num)
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# don't multiply nuclei by kpt_num
# work in k-space, not in equivalent supercell
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nucl_num_per_kpt = nucl_num
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ezfio.set_nuclei_nucl_num(nucl_num_per_kpt)
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# these are totals (kpt_num * num_per_kpt)
# need to change if we want to truncate orbital space within pyscf
ezfio.set_ao_basis_ao_num(ao_num)
ezfio.set_mo_basis_mo_num(mo_num)
ezfio.electrons_elec_alpha_num = elec_alpha_num
ezfio.electrons_elec_beta_num = elec_beta_num
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##ao_num = mo_num
##Important !
#import math
#nelec_per_kpt = num_elec // n_kpts
#nelec_alpha_per_kpt = int(math.ceil(nelec_per_kpt / 2.))
#nelec_beta_per_kpt = int(math.floor(nelec_per_kpt / 2.))
#
#ezfio.electrons_elec_alpha_num = int(nelec_alpha_per_kpt * n_kpts)
#ezfio.electrons_elec_beta_num = int(nelec_beta_per_kpt * n_kpts)
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#ezfio.electrons_elec_alpha_num = int(math.ceil(num_elec / 2.))
#ezfio.electrons_elec_beta_num = int(math.floor(num_elec / 2.))
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#ezfio.set_utils_num_kpts(n_kpts)
#ezfio.set_integrals_bielec_df_num(n_aux)
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#(old)Important
#ezfio.set_nuclei_nucl_num(nucl_num)
#ezfio.set_nuclei_nucl_charge([0.]*nucl_num)
#ezfio.set_nuclei_nucl_coord( [ [0.], [0.], [0.] ]*nucl_num )
#ezfio.set_nuclei_nucl_label( ['He'] * nucl_num )
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with h5py.File(qph5path,'r') as qph5:
nucl_charge=qph5['nuclei/nucl_charge'][()].tolist()
nucl_coord=qph5['nuclei/nucl_coord'][()].T.tolist()
nucl_label=qph5['nuclei/nucl_label'][()].tolist()
nuclear_repulsion = qph5['nuclei'].attrs['nuclear_repulsion']
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ezfio.set_nuclei_nucl_charge(nucl_charge)
ezfio.set_nuclei_nucl_coord(nucl_coord)
if isinstance(nucl_label[0],bytes):
nucl_label = list(map(lambda x:x.decode(),nucl_label))
ezfio.set_nuclei_nucl_label(nucl_label)
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ezfio.set_nuclei_io_nuclear_repulsion('Read')
ezfio.set_nuclei_nuclear_repulsion(nuclear_repulsion)
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##########################################
# #
# Basis #
# #
##########################################
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# with h5py.File(qph5path,'r') as qph5:
# ezfio.set_ao_basis_ao_basis(qph5['ao_basis'].attrs['ao_basis'])
# ezfio.set_ao_basis_ao_nucl(qph5['ao_basis/ao_nucl'][()].tolist())
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#
#
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# #Just need one (can clean this up later)
# ao_prim_num_max = 5
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#
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# d = [ [0] *ao_prim_num_max]*ao_num
# ezfio.set_ao_basis_ao_prim_num([ao_prim_num_max]*ao_num)
# ezfio.set_ao_basis_ao_power(d)
# ezfio.set_ao_basis_ao_coef(d)
# ezfio.set_ao_basis_ao_expo(d)
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##########################################
# #
# Basis #
# #
##########################################
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with h5py.File(qph5path,'r') as qph5:
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do_pseudo = qph5['pseudo'].attrs['do_pseudo']
ezfio.set_pseudo_do_pseudo(do_pseudo)
if (do_pseudo):
ezfio.set_pseudo_pseudo_lmax(qph5['pseudo'].attrs['pseudo_lmax'])
ezfio.set_pseudo_pseudo_klocmax(qph5['pseudo'].attrs['pseudo_klocmax'])
ezfio.set_pseudo_pseudo_kmax(qph5['pseudo'].attrs['pseudo_kmax'])
ezfio.set_pseudo_nucl_charge_remove(qph5['pseudo/nucl_charge_remove'][()].tolist())
ezfio.set_pseudo_pseudo_n_k(qph5['pseudo/pseudo_n_k'][()].tolist())
ezfio.set_pseudo_pseudo_n_kl(qph5['pseudo/pseudo_n_kl'][()].tolist())
ezfio.set_pseudo_pseudo_v_k(qph5['pseudo/pseudo_v_k'][()].tolist())
ezfio.set_pseudo_pseudo_v_kl(qph5['pseudo/pseudo_v_kl'][()].tolist())
ezfio.set_pseudo_pseudo_dz_k(qph5['pseudo/pseudo_dz_k'][()].tolist())
ezfio.set_pseudo_pseudo_dz_kl(qph5['pseudo/pseudo_dz_kl'][()].tolist())
##########################################
# #
# Basis #
# #
##########################################
with h5py.File(qph5path,'r') as qph5:
coeftmp = qph5['ao_basis/ao_coef'][()]
expotmp = qph5['ao_basis/ao_expo'][()]
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ezfio.set_ao_basis_ao_basis(qph5['ao_basis'].attrs['ao_basis'])
ezfio.set_ao_basis_ao_nucl(qph5['ao_basis/ao_nucl'][()].tolist())
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ezfio.set_ao_basis_ao_prim_num(qph5['ao_basis/ao_prim_num'][()].tolist())
ezfio.set_ao_basis_ao_power(qph5['ao_basis/ao_power'][()].tolist())
ezfio.set_ao_basis_ao_coef(qph5['ao_basis/ao_coef'][()].tolist())
ezfio.set_ao_basis_ao_expo(qph5['ao_basis/ao_expo'][()].tolist())
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##########################################
# #
# MO Coef #
# #
##########################################
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with h5py.File(qph5path,'r') as qph5:
mo_coef_reim = qph5['mo_basis/mo_coef_complex'][()].tolist()
ezfio.set_mo_basis_mo_coef_complex(mo_coef_reim)
#maybe fix qp so we don't need this?
#ezfio.set_mo_basis_mo_coef([[i for i in range(mo_num)] * ao_num])
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##########################################
# #
# Integrals Mono #
# #
##########################################
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with h5py.File(qph5path,'r') as qph5:
if 'ao_one_e_ints' in qph5.keys():
kin_ao_reim=qph5['ao_one_e_ints/ao_integrals_kinetic'][()].tolist()
ovlp_ao_reim=qph5['ao_one_e_ints/ao_integrals_overlap'][()].tolist()
ne_ao_reim=qph5['ao_one_e_ints/ao_integrals_n_e'][()].tolist()
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ezfio.set_ao_one_e_ints_ao_integrals_kinetic_complex(kin_ao_reim)
ezfio.set_ao_one_e_ints_ao_integrals_overlap_complex(ovlp_ao_reim)
ezfio.set_ao_one_e_ints_ao_integrals_n_e_complex(ne_ao_reim)
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ezfio.set_ao_one_e_ints_io_ao_integrals_kinetic('Read')
ezfio.set_ao_one_e_ints_io_ao_integrals_overlap('Read')
ezfio.set_ao_one_e_ints_io_ao_integrals_n_e('Read')
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with h5py.File(qph5path,'r') as qph5:
if 'mo_one_e_ints' in qph5.keys():
kin_mo_reim=qph5['mo_one_e_ints/mo_integrals_kinetic'][()].tolist()
#ovlp_mo_reim=qph5['mo_one_e_ints/mo_integrals_overlap'][()].tolist()
ne_mo_reim=qph5['mo_one_e_ints/mo_integrals_n_e'][()].tolist()
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ezfio.set_mo_one_e_ints_mo_integrals_kinetic_complex(kin_mo_reim)
#ezfio.set_mo_one_e_ints_mo_integrals_overlap_complex(ovlp_mo_reim)
#ezfio.set_mo_one_e_ints_mo_integrals_n_e_complex(ne_mo_reim)
ezfio.set_mo_one_e_ints_mo_integrals_n_e_complex(ne_mo_reim)
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ezfio.set_mo_one_e_ints_io_mo_integrals_kinetic('Read')
#ezfio.set_mo_one_e_ints_io_mo_integrals_overlap('Read')
#ezfio.set_mo_one_e_ints_io_mo_integrals_n_e('Read')
ezfio.set_mo_one_e_ints_io_mo_integrals_n_e('Read')
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##########################################
# #
# k-points #
# #
##########################################
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with h5py.File(qph5path,'r') as qph5:
kconserv = qph5['nuclei/kconserv'][()].tolist()
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ezfio.set_nuclei_kconserv(kconserv)
ezfio.set_nuclei_io_kconserv('Read')
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##########################################
# #
# Integrals Bi #
# #
##########################################
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# should this be in ao_basis? ao_two_e_ints?
with h5py.File(qph5path,'r') as qph5:
if 'ao_two_e_ints' in qph5.keys():
df_num = qph5['ao_two_e_ints'].attrs['df_num']
ezfio.set_ao_two_e_ints_df_num(df_num)
if 'df_ao_integrals' in qph5['ao_two_e_ints'].keys():
# dfao_re0=qph5['ao_two_e_ints/df_ao_integrals_real'][()].transpose((3,2,1,0))
# dfao_im0=qph5['ao_two_e_ints/df_ao_integrals_imag'][()].transpose((3,2,1,0))
# dfao_cmplx0 = np.stack((dfao_re0,dfao_im0),axis=-1).tolist()
# ezfio.set_ao_two_e_ints_df_ao_integrals_complex(dfao_cmplx0)
dfao_reim=qph5['ao_two_e_ints/df_ao_integrals'][()].tolist()
ezfio.set_ao_two_e_ints_df_ao_integrals_complex(dfao_reim)
ezfio.set_ao_two_e_ints_io_df_ao_integrals('Read')
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if 'mo_two_e_ints' in qph5.keys():
df_num = qph5['ao_two_e_ints'].attrs['df_num']
ezfio.set_ao_two_e_ints_df_num(df_num)
# dfmo_re0=qph5['mo_two_e_ints/df_mo_integrals_real'][()].transpose((3,2,1,0))
# dfmo_im0=qph5['mo_two_e_ints/df_mo_integrals_imag'][()].transpose((3,2,1,0))
# dfmo_cmplx0 = np.stack((dfmo_re0,dfmo_im0),axis=-1).tolist()
# ezfio.set_mo_two_e_ints_df_mo_integrals_complex(dfmo_cmplx0)
dfmo_reim=qph5['mo_two_e_ints/df_mo_integrals'][()].tolist()
ezfio.set_mo_two_e_ints_df_mo_integrals_complex(dfmo_reim)
ezfio.set_mo_two_e_ints_io_df_mo_integrals('Read')
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return
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if __name__ == '__main__':
ARGUMENTS = docopt(__doc__)
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#for i in range(1,6):
# for j in range(1,6):
# for k in range(1,6):
# for l in range(1,6):
# idx,usem1,sgn = ao_idx_map_sign(i,j,k,l)
# print(f'{i:4d} {j:4d} {k:4d} {l:4d} {str(usem1)[0]:s} {idx:6d} {sgn:5.1f}')
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FILE = get_full_path(ARGUMENTS['FILE'])
qmcpack = True
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rmg = False
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if ARGUMENTS["--output"]:
EZFIO_FILE = get_full_path(ARGUMENTS["--output"])
else:
EZFIO_FILE = "{0}.ezfio".format(FILE)
if ARGUMENTS["--noqmc"]:
qmcpack = False
if ARGUMENTS["--rmg"]:
rmg = True
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with h5py.File(FILE,'r') as qph5:
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try:
do_kpts = ('kconserv' in qph5['nuclei'].keys())
except:
do_kpts = False
if (do_kpts or rmg):
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print("converting HDF5 to EZFIO for periodic system")
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if rmg:
print("Using RMG and AFQMC h5")
convert_kpts_cd(EZFIO_FILE,FILE,qmcpack)
else:
convert_kpts(EZFIO_FILE,FILE,qmcpack)
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else:
print("converting HDF5 to EZFIO for molecular system")
convert_mol(EZFIO_FILE,FILE)
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# sys.stdout.flush()
# if os.system("qp_run save_ortho_mos "+EZFIO_FILE) != 0:
# print("""Warning: You need to run
#
# qp run save_ortho_mos
#
#to be sure your MOs will be orthogonal, which is not the case when
#the MOs are read from output files (not enough precision in output).""")