10
1
mirror of https://gitlab.com/scemama/QCaml.git synced 2024-12-22 04:13:33 +01:00
QCaml/Utils/FourIdxStorage.ml

125 lines
3.6 KiB
OCaml

let max_index = 1 lsl 14
type index_pair = { first : int ; second : int }
type storage_t =
| Dense of (float, Bigarray.float32_elt, Bigarray.fortran_layout) Bigarray.Genarray.t
| Sparse of (int, float) Hashtbl.t
type t =
{
size : int ;
four_index : storage_t ;
}
let key_of_indices ~r1 ~r2 =
let { first=i ; second=k } = r1 and { first=j ; second=l } = r2 in
let f i k =
let p, r =
if i <= k then i, k else k, i
in p+ (r*r-r)/2
in
let p = f i k and q = f j l in
f p q
let get_four_index ~r1 ~r2 t =
match t.four_index with
| Dense t -> let { first=i ; second=k } = r1 and { first=j ; second=l } = r2 in t.{i,j,k,l}
| Sparse t -> let key = key_of_indices ~r1 ~r2 in
try Hashtbl.find t key
with Not_found -> 0.
let set_four_index ~r1 ~r2 ~value t =
match t.four_index with
| Dense t -> let { first=i ; second=k } = r1 and { first=j ; second=l } = r2 in
t.{i,j,k,l} <- value;
t.{k,j,i,l} <- value;
t.{i,l,k,j} <- value;
t.{k,l,i,j} <- value;
t.{j,i,l,k} <- value;
t.{j,k,l,i} <- value;
t.{l,i,j,k} <- value;
t.{l,k,j,i} <- value;
| Sparse t -> let key = key_of_indices ~r1 ~r2 in
Hashtbl.replace t key value
let increment_four_index ~r1 ~r2 ~value x =
match x.four_index with
| Dense t -> let { first=i ; second=k } = r1 and { first=j ; second=l } = r2 in
t.{i,j,k,l} <- t.{i,j,k,l} +. value;
t.{k,j,i,l} <- t.{k,j,i,l} +. value;
t.{i,l,k,j} <- t.{i,l,k,j} +. value;
t.{k,l,i,j} <- t.{k,l,i,j} +. value;
t.{j,i,l,k} <- t.{j,i,l,k} +. value;
t.{j,k,l,i} <- t.{j,k,l,i} +. value;
t.{l,i,j,k} <- t.{l,i,j,k} +. value;
t.{l,k,j,i} <- t.{l,k,j,i} +. value
| Sparse t -> let key = key_of_indices ~r1 ~r2 in
let old_value =
try Hashtbl.find t key
with Not_found -> 0.
in
Hashtbl.replace t key (old_value +. value)
let get ~r1 ~r2 =
get_four_index ~r1 ~r2
let set ~r1 ~r2 =
set_four_index ~r1 ~r2
let increment ~r1 ~r2 =
increment_four_index ~r1 ~r2
let create ~size sparsity =
assert (size < max_index);
let four_index =
match sparsity with
| `Dense ->
let result =
Bigarray.Genarray.create Float32 Bigarray.fortran_layout [| size ; size ; size ; size |]
in
Bigarray.Genarray.fill result 0.;
Dense result
| `Sparse ->
let result = Hashtbl.create (size*size+13) in
Sparse result
in
{ size ; four_index }
let size t = t.size
(** TODO : remove epsilons *)
let get_chem t i j k l = get ~r1:{ first=i ; second=j } ~r2:{ first=k ; second=l } t
let get_phys t i j k l = get ~r1:{ first=i ; second=k } ~r2:{ first=j ; second=l } t
let set_chem t i j k l value = set ~r1:{ first=i ; second=j } ~r2:{ first=k ; second=l } ~value t
let set_phys t i j k l value = set ~r1:{ first=i ; second=k } ~r2:{ first=j ; second=l } ~value t
(** Write all integrals to a file with the <ij|kl> convention *)
let to_file ?(cutoff=Constants.epsilon) ~filename data =
let oc = open_out filename in
for l_c=1 to size data do
for k_c=1 to l_c do
for j_c=1 to l_c do
for i_c=1 to k_c do
let value = get_phys data i_c j_c k_c l_c in
if (abs_float value > cutoff) then
Printf.fprintf oc " %5d %5d %5d %5d%20.15f\n" i_c j_c k_c l_c value;
done;
done;
done;
done;
close_out oc