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https://gitlab.com/scemama/qp_plugins_scemama.git
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added new stopping criterion in CASSCF
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8875d58f03
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@ -11,23 +11,23 @@ interface: ezfio
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size: (determinants.n_states)
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size: (determinants.n_states)
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[state_following_casscf]
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[state_following_casscf]
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type: logical
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type: logical
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doc: If |true|, the CASSCF will try to follow the guess CI vector and orbitals
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doc: If |true|, the CASSCF will try to follow the guess CI vector and orbitals
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interface: ezfio,provider,ocaml
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interface: ezfio,provider,ocaml
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default: False
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default: False
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[diag_hess_cas]
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[diag_hess_cas]
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type: logical
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type: logical
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doc: If |true|, only the DIAGONAL part of the hessian is retained for the CASSCF
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doc: If |true|, only the DIAGONAL part of the hessian is retained for the CASSCF
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interface: ezfio,provider,ocaml
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interface: ezfio,provider,ocaml
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default: False
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default: False
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[hess_cv_cv]
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[hess_cv_cv]
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type: logical
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type: logical
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doc: If |true|, the core-virtual - core-virtual part of the hessian is computed
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doc: If |true|, the core-virtual - core-virtual part of the hessian is computed
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interface: ezfio,provider,ocaml
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interface: ezfio,provider,ocaml
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default: True
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default: True
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[level_shift_casscf]
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[level_shift_casscf]
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@ -41,11 +41,17 @@ default: 0.005
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type: logical
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type: logical
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doc: If true, the two-rdm are computed with a fast algo
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doc: If true, the two-rdm are computed with a fast algo
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interface: ezfio,provider,ocaml
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interface: ezfio,provider,ocaml
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default: True
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default: True
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[criterion_casscf]
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[criterion_casscf]
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type: character*(32)
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type: character*(32)
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doc: choice of the criterion for the convergence of the casscf: can be energy or gradients
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doc: choice of the criterion for the convergence of the casscf: can be energy or gradients or e_pt2
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interface: ezfio, provider, ocaml
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interface: ezfio, provider, ocaml
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default: energy
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default: e_pt2
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[thresh_casscf]
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type: Threshold
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doc: Threshold on the convergence of the CASCF energy.
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interface: ezfio,provider,ocaml
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default: 1.e-06
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@ -10,13 +10,15 @@ program casscf
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SOFT_TOUCH pt2_max
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SOFT_TOUCH pt2_max
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n_det_max_full = 500
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n_det_max_full = 500
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touch n_det_max_full
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touch n_det_max_full
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pt2_relative_error = 0.02
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touch pt2_relative_error
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call run_stochastic_cipsi
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call run_stochastic_cipsi
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call run
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call run
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end
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end
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subroutine run
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subroutine run
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implicit none
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implicit none
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double precision :: energy_old, energy
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double precision :: energy_old, energy, pt2_max_before, ept2_before,delta_E
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logical :: converged,state_following_casscf_save
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logical :: converged,state_following_casscf_save
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integer :: iteration
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integer :: iteration
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converged = .False.
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converged = .False.
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@ -27,31 +29,50 @@ subroutine run
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state_following_casscf_save = state_following_casscf
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state_following_casscf_save = state_following_casscf
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state_following_casscf = .True.
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state_following_casscf = .True.
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touch state_following_casscf
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touch state_following_casscf
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ept2_before = 0.d0
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do while (.not.converged)
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do while (.not.converged)
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call run_stochastic_cipsi
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call run_stochastic_cipsi
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energy_old = energy
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energy_old = energy
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energy = eone+etwo+ecore
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energy = eone+etwo+ecore
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pt2_max_before = pt2_max
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call write_time(6)
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call write_time(6)
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call write_int(6,iteration,'CAS-SCF iteration = ')
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call write_int(6,iteration,'CAS-SCF iteration = ')
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call write_double(6,energy,'CAS-SCF energy = ')
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call write_double(6,energy,'CAS-SCF energy = ')
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if(n_states == 1)then
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double precision :: E_PT2, PT2
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call ezfio_get_casscf_energy_pt2(E_PT2)
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call ezfio_get_casscf_energy(PT2)
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PT2 -= E_PT2
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call write_double(6,E_PT2,'E + PT2 energy = ')
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call write_double(6,PT2,' PT2 = ')
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call write_double(6,pt2_max,' PT2_MAX = ')
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endif
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print*,''
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call write_double(6,norm_grad_vec2,'Norm of gradients = ')
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call write_double(6,norm_grad_vec2,'Norm of gradients = ')
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call write_double(6,norm_grad_vec2_tab(1), ' Core-active gradients = ')
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call write_double(6,norm_grad_vec2_tab(1), ' Core-active gradients = ')
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call write_double(6,norm_grad_vec2_tab(2), ' Core-virtual gradients = ')
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call write_double(6,norm_grad_vec2_tab(2), ' Core-virtual gradients = ')
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call write_double(6,norm_grad_vec2_tab(3), ' Active-virtual gradients = ')
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call write_double(6,norm_grad_vec2_tab(3), ' Active-virtual gradients = ')
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print*,''
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call write_double(6,energy_improvement, 'Predicted energy improvement = ')
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call write_double(6,energy_improvement, 'Predicted energy improvement = ')
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if(criterion_casscf == "energy")then
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if(criterion_casscf == "energy")then
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converged = dabs(energy_improvement) < thresh_scf
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converged = dabs(energy_improvement) < thresh_scf
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else if (criterion_casscf == "gradients")then
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else if (criterion_casscf == "gradients")then
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converged = norm_grad_vec2 < thresh_scf
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converged = norm_grad_vec2 < thresh_scf
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else
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else if (criterion_casscf == "e_pt2")then
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converged = dabs(energy_improvement) < thresh_scf
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delta_E = dabs(E_PT2 - ept2_before)
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converged = dabs(delta_E) < thresh_casscf
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endif
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endif
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pt2_max = dabs(energy_improvement / pt2_relative_error)
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ept2_before = E_PT2
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pt2_max = dabs(energy_improvement / (pt2_relative_error))
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pt2_max = min(pt2_max, pt2_max_before)
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print*,''
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call write_double(6,pt2_max, 'PT2_MAX for next iteration = ')
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mo_coef = NewOrbs
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mo_coef = NewOrbs
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mo_occ = occnum
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mo_occ = occnum
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call save_mos
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call save_mos
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if(.not.converged)then
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if(.not.converged)then
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iteration += 1
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iteration += 1
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@ -60,9 +81,9 @@ subroutine run
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psi_coef = psi_coef_sorted
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psi_coef = psi_coef_sorted
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read_wf = .True.
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read_wf = .True.
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call clear_mo_map
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call clear_mo_map
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SOFT_TOUCH mo_coef N_det pt2_max psi_det psi_coef
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SOFT_TOUCH mo_coef N_det pt2_max psi_det psi_coef
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if(iteration .gt. 3)then
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if(iteration .gt. 3)then
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state_following_casscf = state_following_casscf_save
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state_following_casscf = state_following_casscf_save
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soft_touch state_following_casscf
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soft_touch state_following_casscf
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endif
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endif
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endif
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endif
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@ -70,3 +91,5 @@ subroutine run
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enddo
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enddo
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end
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end
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