Array operations.
The labeled version of this module can be used as described in the StdLabels module.
An alias for the type of arrays.
val length : 'a array -> intReturn the length (number of elements) of the given array.
val get : 'a array -> int -> 'aget a n returns the element number n of array a. The first element has number 0. The last element has number length a - 1. You can also write a.(n) instead of get a n.
val set : 'a array -> int -> 'a -> unitset a n x modifies array a in place, replacing element number n with x. You can also write a.(n) <- x instead of set a n x.
val make : int -> 'a -> 'a arraymake n x returns a fresh array of length n, initialized with x. All the elements of this new array are initially physically equal to x (in the sense of the == predicate). Consequently, if x is mutable, it is shared among all elements of the array, and modifying x through one of the array entries will modify all other entries at the same time.
val create_float : int -> float arraycreate_float n returns a fresh float array of length n, with uninitialized data.
val init : int -> f:(int -> 'a) -> 'a arrayinit n ~f returns a fresh array of length n, with element number i initialized to the result of f i. In other terms, init n ~f tabulates the results of f applied in order to the integers 0 to n-1.
val make_matrix : dimx:int -> dimy:int -> 'a -> 'a array arraymake_matrix ~dimx ~dimy e returns a two-dimensional array (an array of arrays) with first dimension dimx and second dimension dimy. All the elements of this new matrix are initially physically equal to e. The element (x,y) of a matrix m is accessed with the notation m.(x).(y).
val append : 'a array -> 'a array -> 'a arrayappend v1 v2 returns a fresh array containing the concatenation of the arrays v1 and v2.
val concat : 'a array list -> 'a arraySame as append, but concatenates a list of arrays.
val sub : 'a array -> pos:int -> len:int -> 'a arraysub a ~pos ~len returns a fresh array of length len, containing the elements number pos to pos + len - 1 of array a.
val copy : 'a array -> 'a arraycopy a returns a copy of a, that is, a fresh array containing the same elements as a.
val fill : 'a array -> pos:int -> len:int -> 'a -> unitfill a ~pos ~len x modifies the array a in place, storing x in elements number pos to pos + len - 1.
val blit :
src:'a array ->
src_pos:int ->
dst:'a array ->
dst_pos:int ->
len:int ->
unitblit ~src ~src_pos ~dst ~dst_pos ~len copies len elements from array src, starting at element number src_pos, to array dst, starting at element number dst_pos. It works correctly even if src and dst are the same array, and the source and destination chunks overlap.
val to_list : 'a array -> 'a listto_list a returns the list of all the elements of a.
val of_list : 'a list -> 'a arrayof_list l returns a fresh array containing the elements of l.
Iterators
val iter : f:('a -> unit) -> 'a array -> unititer ~f a applies function f in turn to all the elements of a. It is equivalent to f a.(0); f a.(1); ...; f a.(length a - 1); ().
val iteri : f:(int -> 'a -> unit) -> 'a array -> unitSame as iter, but the function is applied to the index of the element as first argument, and the element itself as second argument.
val map : f:('a -> 'b) -> 'a array -> 'b arraymap ~f a applies function f to all the elements of a, and builds an array with the results returned by f: [| f a.(0); f a.(1); ...; f a.(length a - 1) |].
val map_inplace : f:('a -> 'a) -> 'a array -> unitmap_inplace ~f a applies function f to all elements of a, and updates their values in place.
val mapi : f:(int -> 'a -> 'b) -> 'a array -> 'b arraySame as map, but the function is applied to the index of the element as first argument, and the element itself as second argument.
val mapi_inplace : f:(int -> 'a -> 'a) -> 'a array -> unitSame as map_inplace, but the function is applied to the index of the element as first argument, and the element itself as second argument.
val fold_left : f:('acc -> 'a -> 'acc) -> init:'acc -> 'a array -> 'accfold_left ~f ~init a computes f (... (f (f init a.(0)) a.(1)) ...) a.(n-1), where n is the length of the array a.
val fold_left_map :
f:('acc -> 'a -> 'acc * 'b) ->
init:'acc ->
'a array ->
'acc * 'b arrayfold_left_map is a combination of fold_left and map that threads an accumulator through calls to f.
val fold_right : f:('a -> 'acc -> 'acc) -> 'a array -> init:'acc -> 'accfold_right ~f a ~init computes f a.(0) (f a.(1) ( ... (f a.(n-1) init) ...)), where n is the length of the array a.
Iterators on two arrays
val iter2 : f:('a -> 'b -> unit) -> 'a array -> 'b array -> unititer2 ~f a b applies function f to all the elements of a and b.
val map2 : f:('a -> 'b -> 'c) -> 'a array -> 'b array -> 'c arraymap2 ~f a b applies function f to all the elements of a and b, and builds an array with the results returned by f: [| f a.(0) b.(0); ...; f a.(length a - 1) b.(length b - 1)|].
Array scanning
val for_all : f:('a -> bool) -> 'a array -> boolfor_all ~f [|a1; ...; an|] checks if all elements of the array satisfy the predicate f. That is, it returns (f a1) && (f a2) && ... && (f an).
val exists : f:('a -> bool) -> 'a array -> boolexists ~f [|a1; ...; an|] checks if at least one element of the array satisfies the predicate f. That is, it returns (f a1) || (f a2) || ... || (f an).
val for_all2 : f:('a -> 'b -> bool) -> 'a array -> 'b array -> boolSame as for_all, but for a two-argument predicate.
val exists2 : f:('a -> 'b -> bool) -> 'a array -> 'b array -> boolSame as exists, but for a two-argument predicate.
val mem : 'a -> set:'a array -> boolmem a ~set is true if and only if a is structurally equal to an element of l (i.e. there is an x in l such that compare a x = 0).
val memq : 'a -> set:'a array -> boolSame as mem, but uses physical equality instead of structural equality to compare list elements.
val find_opt : f:('a -> bool) -> 'a array -> 'a optionfind_opt ~f a returns the first element of the array a that satisfies the predicate f, or None if there is no value that satisfies f in the array a.
val find_index : f:('a -> bool) -> 'a array -> int optionfind_index ~f a returns Some i, where i is the index of the first element of the array a that satisfies f x, if there is such an element.
It returns None if there is no such element.
val find_map : f:('a -> 'b option) -> 'a array -> 'b optionfind_map ~f a applies f to the elements of a in order, and returns the first result of the form Some v, or None if none exist.
val find_mapi : f:(int -> 'a -> 'b option) -> 'a array -> 'b optionSame as find_map, but the predicate is applied to the index of the element as first argument (counting from 0), and the element itself as second argument.
Arrays of pairs
val split : ('a * 'b) array -> 'a array * 'b arraysplit [|(a1,b1); ...; (an,bn)|] is ([|a1; ...; an|], [|b1; ...; bn|]).
val combine : 'a array -> 'b array -> ('a * 'b) arraycombine [|a1; ...; an|] [|b1; ...; bn|] is [|(a1,b1); ...; (an,bn)|]. Raise Invalid_argument if the two arrays have different lengths.
Sorting
val sort : cmp:('a -> 'a -> int) -> 'a array -> unitSort an array in increasing order according to a comparison function. The comparison function must return 0 if its arguments compare as equal, a positive integer if the first is greater, and a negative integer if the first is smaller (see below for a complete specification). For example, Stdlib.compare is a suitable comparison function. After calling sort, the array is sorted in place in increasing order. sort is guaranteed to run in constant heap space and (at most) logarithmic stack space.
The current implementation uses Heap Sort. It runs in constant stack space.
Specification of the comparison function: Let a be the array and cmp the comparison function. The following must be true for all x, y, z in a :
cmp x y > 0 if and only if cmp y x < 0- if
cmp x y >= 0 and cmp y z >= 0 then cmp x z >= 0
When sort returns, a contains the same elements as before, reordered in such a way that for all i and j valid indices of a :
cmp a.(i) a.(j) >= 0 if and only if i >= j
val stable_sort : cmp:('a -> 'a -> int) -> 'a array -> unitSame as sort, but the sorting algorithm is stable (i.e. elements that compare equal are kept in their original order) and not guaranteed to run in constant heap space.
The current implementation uses Merge Sort. It uses a temporary array of length n/2, where n is the length of the array. It is usually faster than the current implementation of sort.
val fast_sort : cmp:('a -> 'a -> int) -> 'a array -> unitArrays and Sequences
val to_seq : 'a array -> 'a Seq.tIterate on the array, in increasing order. Modifications of the array during iteration will be reflected in the sequence.
val to_seqi : 'a array -> (int * 'a) Seq.tIterate on the array, in increasing order, yielding indices along elements. Modifications of the array during iteration will be reflected in the sequence.
val of_seq : 'a Seq.t -> 'a arrayCreate an array from the generator
Arrays and concurrency safety
Care must be taken when concurrently accessing arrays from multiple domains: accessing an array will never crash a program, but unsynchronized accesses might yield surprising (non-sequentially-consistent) results.
Atomicity
Every array operation that accesses more than one array element is not atomic. This includes iteration, scanning, sorting, splitting and combining arrays.
For example, consider the following program:
let size = 100_000_000
let a = ArrayLabels.make size 1
let d1 = Domain.spawn (fun () ->
ArrayLabels.iteri ~f:(fun i x -> a.(i) <- x + 1) a
)
let d2 = Domain.spawn (fun () ->
ArrayLabels.iteri ~f:(fun i x -> a.(i) <- 2 * x + 1) a
)
let () = Domain.join d1; Domain.join d2
After executing this code, each field of the array a is either 2, 3, 4 or 5. If atomicity is required, then the user must implement their own synchronization (for example, using Mutex.t).
Data races
If two domains only access disjoint parts of the array, then the observed behaviour is the equivalent to some sequential interleaving of the operations from the two domains.
A data race is said to occur when two domains access the same array element without synchronization and at least one of the accesses is a write. In the absence of data races, the observed behaviour is equivalent to some sequential interleaving of the operations from different domains.
Whenever possible, data races should be avoided by using synchronization to mediate the accesses to the array elements.
Indeed, in the presence of data races, programs will not crash but the observed behaviour may not be equivalent to any sequential interleaving of operations from different domains. Nevertheless, even in the presence of data races, a read operation will return the value of some prior write to that location (with a few exceptions for float arrays).
Float arrays
Float arrays have two supplementary caveats in the presence of data races.
First, the blit operation might copy an array byte-by-byte. Data races between such a blit operation and another operation might produce surprising values due to tearing: partial writes interleaved with other operations can create float values that would not exist with a sequential execution.
For instance, at the end of
let zeros = Array.make size 0.
let max_floats = Array.make size Float.max_float
let res = Array.copy zeros
let d1 = Domain.spawn (fun () -> Array.blit zeros 0 res 0 size)
let d2 = Domain.spawn (fun () -> Array.blit max_floats 0 res 0 size)
let () = Domain.join d1; Domain.join d2
the res array might contain values that are neither 0. nor max_float.
Second, on 32-bit architectures, getting or setting a field involves two separate memory accesses. In the presence of data races, the user may observe tearing on any operation.