Simple abstraction over `iter` functions, intended to iterate efficiently on collections while performing some transformations

Clean and efficient loop fusion for all your iterating needs!

# #require "iter";;
# let p x = x mod 5 = 0 in
  Iter.(1 -- 5_000 |> filter p |> map (fun x -> x * x) |> fold (+) 0);;
- : int = 8345837500

Iter is a simple abstraction over iter functions
intended to iterate efficiently
on collections while performing some transformations.
Common operations supported by Iter include
filter, map, take, drop, append, flat_map, etc.
Iter is not designed to be as general-purpose or flexible as Seq.
Rather, it aims at providing a very simple and efficient
way of iterating on a finite number of values, only allocating (most of the time)
one intermediate closure to do so. For instance, iterating on keys, or values,
of a Hashtbl.t, without creating a list.
Similarly, the code above is turned into a single optimized
for loop with flambda.


There is only one important type, 'a Iter.t, and lots of functions built
around this type.
See the online API
for more details on the set of available functions.
Some examples can be found below.

The library used to be called Sequence.
Some historical perspective is provided
in this talk
given by @c-cube at some OCaml meeting.

Short Tutorial

Transferring Data

Conversion between n container types
would take n² functions. In practice, for a given collection
we can at best hope for to_list and of_list.
With iter, if the source structure provides a
iter function (or a to_iter wrapper), it becomes:

# let q : int Queue.t = Queue.create();;
val q : int Queue.t = <abstr>
# Iter.( 1 -- 10 |> to_queue q);;
- : unit = ()
# Iter.of_queue q |> Iter.to_list ;;
- : int list = [1; 2; 3; 4; 5; 6; 7; 8; 9; 10]

# let s : int Stack.t = Stack.create();;
val s : int Stack.t = <abstr>
# Iter.(of_queue q |> to_stack s);;
- : unit = ()
# Iter.of_stack s |> Iter.to_list ;;
- : int list = [10; 9; 8; 7; 6; 5; 4; 3; 2; 1]

Note how the list of elements is reversed when we transfer them
from the queue to the stack.

Another example is extracting the list of values of
a hashtable (in an undefined order that depends on the
underlying hash function):

# let h: (int, string) Hashtbl.t = Hashtbl.create 16;;
val h : (int, string) Hashtbl.t = <abstr>
# for i = 0 to 10 do
     Hashtbl.add h i (string_of_int i)
- : unit = ()

# Hashtbl.length h;;
- : int = 11

# (* now to get the values *)
  Iter.of_hashtbl h |> snd |> Iter.to_list;;
- : string list = ["6"; "2"; "8"; "7"; "3"; "5"; "4"; "9"; "0"; "10"; "1"]

Replacing for loops

The for loop is a bit limited, and lacks compositionality.
Instead, it can be more convenient and readable to
use Iter.(--) : int -> int -> int Iter.t.

# Iter.(1 -- 10_000_000 |> fold (+) 0);;
- : int = 50000005000000

# let p x = x mod 5 = 0 in
  Iter.(1 -- 5_000
    |> filter p
    |> map (fun x -> x * x)
    |> fold (+) 0
- : int = 8345837500

NOTE: with flambda under sufficiently strong
optimization flags, such compositions of operators
should be compiled to an actual loop with no overhead!

Iterating on sub-trees

A small λ-calculus AST, and some operations on it.

# type term =
  | Var of string
  | App of term * term
  | Lambda of term ;;
type term = Var of string | App of term * term | Lambda of term

# let rec subterms : term -> term Iter.t =
  fun t ->
    let open Iter.Infix in
    Iter.cons t
      (match t with
      | Var _ -> Iter.empty
      | Lambda u -> subterms u
      | App (a,b) ->
        Iter.append (subterms a) (subterms b))
val subterms : term -> term Iter.t = <fun>

# (* Now we can define many other functions easily! *)
  let vars t =
      (function Var s -> Some s | _ -> None)
      (subterms t) ;;
val vars : term -> string Iter.t = <fun>

# let size t = Iter.length (subterms t) ;;
val size : term -> int = <fun>

# let vars_list l = Iter.(of_list l |> flat_map vars);;
val vars_list : term list -> string Iter.t = <fun>


Makes it easy to write backtracking code (a non-deterministic
function returning several 'a
will just return a 'a Iter.t).
Here, we generate all permutations of a list by
enumerating the ways we can insert an element in a list.

# open Iter.Infix;;
# let rec insert x l = match l with
  | [] -> Iter.return [x]
  | y :: tl ->
      (insert x tl >|= fun tl' -> y :: tl')
      (Iter.return (x :: l)) ;;
val insert : 'a -> 'a list -> 'a list Iter.t = <fun>

# let rec permute l = match l with
  | [] -> Iter.return []
  | x :: tl -> permute tl >>= insert x ;;
val permute : 'a list -> 'a list Iter.t = <fun>

# permute [1;2;3;4] |> Iter.take 2 |> Iter.to_list ;;
- : int list list = [[4; 3; 2; 1]; [4; 3; 1; 2]]

Advanced example

The module examples/sexpr.mli exposes the interface of the S-expression
example library. It requires OCaml>=4.0 to compile, because of the GADT
structure used in the monadic parser combinators part of examples/
Be careful that this is quite obscure.

Comparison with Seq from the standard library, and with Gen

  • Seq is an external iterator.
    It means that the code which consumes
    some iterator of type 'a Seq.t is the one which decides when to
    go to the next element. This gives a lot of flexibility, for example
    when iterating on several iterators at the same time:

    let rec zip a b () = match a(), b() with
      | Nil, _
      | _, Nil -> Nil
      | Cons (x, a'), Cons (y, b') -> Cons ((x,y), zip a' b')
  • Iter is an internal iterator. When one wishes to iterate over
    an 'a Iter.t, one has to give a callback f : 'a -> unit
    that is called in succession over every element of the iterator.
    Control is not handed back to the caller before the whole iteration is over.
    This makes zip impossible to implement. However, the type 'a Iter.t
    is general enough that it can be extracted from any classic iter function,
    including from data structures such as Map.S.t or Set.S.t or Hashtbl.t;
    one cannot obtain a 'a Seq.t from these without having access to the internal
    data structure.

  • Gen (from the gen library)
    is an external iterator, like Seq, but it is imperative, mutable, and consumable
    (you can't iterate twice on the same 'a Gen.t).
    It looks a lot like iterators in rust/java/… and can be pretty efficient in some cases.
    Since you control iteration you can also write map2, for_all2, etc but
    only with linear use of input generators (since you can traverse them only once).
    That requires some trickery for cartesian_product (like storing already produced elements internally).

In short, 'a Seq.t is more expressive than 'a Iter.t, but it also
requires more knowledge of the underlying source of items.
For some operations such as map or flat_map, Iter is also extremely
efficient and will, if flambda permits, be totally removed at
compile time (e.g. Iter.(--) becomes a for loop, and Iter.filter
becomes a if test).

For more details, you can read or
see the slides about Iter
by me (c-cube) when Iter was still called Sequence.


  1. via opam opam install iter

  2. manually (need OCaml >= 4.02.0): make all install

If you have qtest installed,
you can build and run tests with

$ make test

If you have benchmarks installed,
you can build and run benchmarks with

$ make benchs

To see how to use the library, check the following tutorial.
The tests and examples directories also have some examples, but they're a bit arcane.


Iter is available under the BSD license.

07 Jul 2022
with-test & >= "1.3"
>= "1.1"
>= "4.03.0"
Reverse Dependencies