package ocaml-base-compiler
Array operations.
ArrayLabels.get a n
returns the element number n
of array a
. The first element has number 0. The last element has number ArrayLabels.length a - 1
. You can also write a.(n)
instead of ArrayLabels.get a n
.
Raise Invalid_argument "index out of bounds"
if n
is outside the range 0 to (ArrayLabels.length a - 1)
.
ArrayLabels.set a n x
modifies array a
in place, replacing element number n
with x
. You can also write a.(n) <- x
instead of ArrayLabels.set a n x
.
Raise Invalid_argument "index out of bounds"
if n
is outside the range 0 to ArrayLabels.length a - 1
.
ArrayLabels.make 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.
Raise Invalid_argument
if n < 0
or n > Sys.max_array_length
. If the value of x
is a floating-point number, then the maximum size is only Sys.max_array_length / 2
.
ArrayLabels.init n f
returns a fresh array of length n
, with element number i
initialized to the result of f i
. In other terms, ArrayLabels.init n f
tabulates the results of f
applied to the integers 0
to n-1
.
Raise Invalid_argument
if n < 0
or n > Sys.max_array_length
. If the return type of f
is float
, then the maximum size is only Sys.max_array_length / 2
.
ArrayLabels.make_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)
.
Raise Invalid_argument
if dimx
or dimy
is negative or greater than Sys.max_array_length
. If the value of e
is a floating-point number, then the maximum size is only Sys.max_array_length / 2
.
ArrayLabels.append v1 v2
returns a fresh array containing the concatenation of the arrays v1
and v2
.
Same as ArrayLabels.append
, but concatenates a list of arrays.
ArrayLabels.sub a start len
returns a fresh array of length len
, containing the elements number start
to start + len - 1
of array a
.
Raise Invalid_argument "Array.sub"
if start
and len
do not designate a valid subarray of a
; that is, if start < 0
, or len < 0
, or start + len > ArrayLabels.length a
.
ArrayLabels.copy a
returns a copy of a
, that is, a fresh array containing the same elements as a
.
ArrayLabels.fill a ofs len x
modifies the array a
in place, storing x
in elements number ofs
to ofs + len - 1
.
Raise Invalid_argument "Array.fill"
if ofs
and len
do not designate a valid subarray of a
.
ArrayLabels.blit v1 o1 v2 o2 len
copies len
elements from array v1
, starting at element number o1
, to array v2
, starting at element number o2
. It works correctly even if v1
and v2
are the same array, and the source and destination chunks overlap.
Raise Invalid_argument "Array.blit"
if o1
and len
do not designate a valid subarray of v1
, or if o2
and len
do not designate a valid subarray of v2
.
ArrayLabels.of_list l
returns a fresh array containing the elements of l
.
ArrayLabels.iter 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.(ArrayLabels.length a - 1); ()
.
ArrayLabels.map 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.(ArrayLabels.length a - 1) |]
.
Same as ArrayLabels.iter
, but the function is applied to the index of the element as first argument, and the element itself as second argument.
Same as ArrayLabels.map
, but the function is applied to the index of the element as first argument, and the element itself as second argument.
ArrayLabels.fold_left f x a
computes f (... (f (f x a.(0)) a.(1)) ...) a.(n-1)
, where n
is the length of the array a
.
ArrayLabels.fold_right f a x
computes f a.(0) (f a.(1) ( ... (f a.(n-1) x) ...))
, where n
is the length of the array a
.
ArrayLabels.exists p [|a1; ...; an|]
checks if at least one element of the array satisfies the predicate p
. That is, it returns (p a1) || (p a2) || ... || (p an)
.
ArrayLabels.for_all p [|a1; ...; an|]
checks if all elements of the array satisfy the predicate p
. That is, it returns (p a1) && (p a2) && ... && (p an)
.
Same as ArrayLabels.mem
, but uses physical equality instead of structural equality to compare list elements.
ArrayLabels.create_float n
returns a fresh float array of length n
, with uninitialized data.
Sorting
Sort 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, Pervasives.compare
is a suitable comparison function, provided there are no floating-point NaN values in the data. After calling ArrayLabels.sort
, the array is sorted in place in increasing order. ArrayLabels.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 ifcmp y x
< 0- if
cmp x y
>= 0 andcmp y z
>= 0 thencmp x z
>= 0
When ArrayLabels.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
Same as ArrayLabels.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 n/2
words of heap space, where n
is the length of the array. It is usually faster than the current implementation of ArrayLabels.sort
.
Same as ArrayLabels.sort
or ArrayLabels.stable_sort
, whichever is faster on typical input.