BatBigarray
Additional and modified functions for big arrays.
Large, multi-dimensional, numerical arrays.
This module implements multi-dimensional arrays of integers and floating-point numbers, thereafter referred to as ``big arrays''. The implementation allows efficient sharing of large numerical arrays between OCaml code and C or Fortran numerical libraries.
Concerning the naming conventions, users of this module are encouraged to do open Bigarray
in their source, then refer to array types and operations via short dot notation, e.g. Array1.t
or Array2.sub
.
Big arrays support all the OCaml ad-hoc polymorphic operations:
=
, <>
, <=
, etc, as well as Pervasives
.compare);Hash
);Pervasives
.output_value and Pervasives
.input_value, as well as the functions from the Marshal
module).This module replaces Stdlib's Bigarray module.
Big arrays can contain elements of the following kinds:
Bigarray.float32_elt
),Bigarray.float64_elt
),Bigarray.complex32_elt
),Bigarray.complex64_elt
),Bigarray.int8_signed_elt
or Bigarray.int8_unsigned_elt
),Bigarray.int16_signed_elt
or Bigarray.int16_unsigned_elt
),Bigarray.int_elt
),Bigarray.int32_elt
),Bigarray.int64_elt
),Bigarray.nativeint_elt
).Each element kind is represented at the type level by one of the abstract types defined below.
type ('a, 'b) kind = ('a, 'b) Bigarray.kind =
| Float32 : (float, float32_elt) kind |
| Float64 : (float, float64_elt) kind |
| Int8_signed : (int, int8_signed_elt) kind |
| Int8_unsigned : (int, int8_unsigned_elt) kind |
| Int16_signed : (int, int16_signed_elt) kind |
| Int16_unsigned : (int, int16_unsigned_elt) kind |
| Int32 : (int32, int32_elt) kind |
| Int64 : (int64, int64_elt) kind |
| Int : (int, int_elt) kind |
| Nativeint : (nativeint, nativeint_elt) kind |
| Complex32 : (Complex.t, complex32_elt) kind |
| Complex64 : (Complex.t, complex64_elt) kind |
| Char : (char, int8_unsigned_elt) kind |
To each element kind is associated an OCaml type, which is the type of OCaml values that can be stored in the big array or read back from it. This type is not necessarily the same as the type of the array elements proper: for instance, a big array whose elements are of kind float32_elt
contains 32-bit single precision floats, but reading or writing one of its elements from OCaml uses the OCaml type float
, which is 64-bit double precision floats.
# 135 "src/batBigarray.mliv" # 136 "src/batBigarray.mliv" # 137 "src/batBigarray.mliv" # 138 "src/batBigarray.mliv" # 139 "src/batBigarray.mliv" # 140 "src/batBigarray.mliv" The GADT type ('a, 'b) kind
captures this association of an OCaml type 'a
for values read or written in the big array, and of an element kind 'b
which represents the actual contents of the big array. Its constructors list all possible associations of OCaml types with element kinds, and are re-exported below for backward-compatibility reasons.
Using a generalized algebraic datatype (GADT) here allows to write well-typed polymorphic functions whose return type depend on the argument type, such as:
let zero : type a b. (a, b) kind -> a = function
| Float32 -> 0.0 | Complex32 -> Complex.zero
| Float64 -> 0.0 | Complex64 -> Complex.zero
| Int8_signed -> 0 | Int8_unsigned -> 0
| Int16_signed -> 0 | Int16_unsigned -> 0
| Int32 -> 0l | Int64 -> 0L
| Int -> 0 | Nativeint -> 0n
| Char -> '\000'
val float32 : (float, float32_elt) kind
See Bigarray.char
.
val float64 : (float, float64_elt) kind
See Bigarray.char
.
val complex32 : (Complex.t, complex32_elt) kind
See Bigarray.char
.
val complex64 : (Complex.t, complex64_elt) kind
See Bigarray.char
.
val int8_signed : (int, int8_signed_elt) kind
See Bigarray.char
.
val int8_unsigned : (int, int8_unsigned_elt) kind
See Bigarray.char
.
val int16_signed : (int, int16_signed_elt) kind
See Bigarray.char
.
val int16_unsigned : (int, int16_unsigned_elt) kind
See Bigarray.char
.
See Bigarray.char
.
See Bigarray.char
.
See Bigarray.char
.
val nativeint : (nativeint, nativeint_elt) kind
See Bigarray.char
.
val char : (char, int8_unsigned_elt) kind
As shown by the types of the values above, big arrays of kind float32_elt
and float64_elt
are accessed using the OCaml type float
. Big arrays of complex kinds complex32_elt
, complex64_elt
are accessed with the OCaml type Complex
.t. Big arrays of integer kinds are accessed using the smallest OCaml integer type large enough to represent the array elements: int
for 8- and 16-bit integer bigarrays, as well as OCaml-integer bigarrays; int32
for 32-bit integer bigarrays; int64
for 64-bit integer bigarrays; and nativeint
for platform-native integer bigarrays. Finally, big arrays of kind int8_unsigned_elt
can also be accessed as arrays of characters instead of arrays of small integers, by using the kind value char
instead of int8_unsigned
.
val kind_size_in_bytes : ('a, 'b) kind -> int
kind_size_in_bytes k
is the number of bytes used to store an element of type k
.
To facilitate interoperability with existing C and Fortran code, this library supports two different memory layouts for big arrays, one compatible with the C conventions, the other compatible with the Fortran conventions.
In the C-style layout, array indices start at 0, and multi-dimensional arrays are laid out in row-major format. That is, for a two-dimensional array, all elements of row 0 are contiguous in memory, followed by all elements of row 1, etc. In other terms, the array elements at (x,y)
and (x, y+1)
are adjacent in memory.
In the Fortran-style layout, array indices start at 1, and multi-dimensional arrays are laid out in column-major format. That is, for a two-dimensional array, all elements of column 0 are contiguous in memory, followed by all elements of column 1, etc. In other terms, the array elements at (x,y)
and (x+1, y)
are adjacent in memory.
Each layout style is identified at the type level by the abstract types Bigarray.c_layout
and fortran_layout
respectively.
type 'a layout = 'a Bigarray.layout =
| C_layout : c_layout layout |
| Fortran_layout : fortran_layout layout |
The type 'a layout
represents one of the two supported memory layouts: C-style if 'a
is Bigarray.c_layout
, Fortran-style if 'a
is Bigarray.fortran_layout
.
The abstract values c_layout
and fortran_layout
represent the two supported layouts at the level of values.
val fortran_layout : fortran_layout layout
module Genarray : sig ... end
Generic arrays (of arbitrarily many dimensions)
module Array0 : sig ... end
Zero-dimensional arrays. The Array0
structure provides operations similar to those of Bigarray.Genarray
, but specialized to the case of zero-dimensional arrays that only contain a single scalar value. Statically knowing the number of dimensions of the array allows faster operations, and more precise static type-checking.
module Array1 : sig ... end
One-dimensional arrays. The Array1
structure provides operations similar to those of Bigarray.Genarray
, but specialized to the case of one-dimensional arrays. (The Array2
and Array3
structures below provide operations specialized for two- and three-dimensional arrays.) Statically knowing the number of dimensions of the array allows faster operations, and more precise static type-checking.
module Array2 : sig ... end
Two-dimensional arrays. The Array2
structure provides operations similar to those of Bigarray.Genarray
, but specialized to the case of two-dimensional arrays.
module Array3 : sig ... end
Three-dimensional arrays. The Array3
structure provides operations similar to those of Bigarray.Genarray
, but specialized to the case of three-dimensional arrays.
val genarray_of_array0 : ('a, 'b, 'c) Array0.t -> ('a, 'b, 'c) Genarray.t
Return the generic big array corresponding to the given zero-dimensional big array.
val genarray_of_array1 : ('a, 'b, 'c) Array1.t -> ('a, 'b, 'c) Genarray.t
Return the generic big array corresponding to the given one-dimensional big array.
val genarray_of_array2 : ('a, 'b, 'c) Array2.t -> ('a, 'b, 'c) Genarray.t
Return the generic big array corresponding to the given two-dimensional big array.
val genarray_of_array3 : ('a, 'b, 'c) Array3.t -> ('a, 'b, 'c) Genarray.t
Return the generic big array corresponding to the given three-dimensional big array.
val array0_of_genarray : ('a, 'b, 'c) Genarray.t -> ('a, 'b, 'c) Array0.t
Return the zero-dimensional big array corresponding to the given generic big array. Raise Invalid_argument
if the generic big array does not have exactly zero dimension.
val array1_of_genarray : ('a, 'b, 'c) Genarray.t -> ('a, 'b, 'c) Array1.t
Return the one-dimensional big array corresponding to the given generic big array.
val array2_of_genarray : ('a, 'b, 'c) Genarray.t -> ('a, 'b, 'c) Array2.t
Return the two-dimensional big array corresponding to the given generic big array.
val array3_of_genarray : ('a, 'b, 'c) Genarray.t -> ('a, 'b, 'c) Array3.t
Return the three-dimensional big array corresponding to the given generic big array.
val reshape : ('a, 'b, 'c) Genarray.t -> int array -> ('a, 'b, 'c) Genarray.t
reshape b [|d1;...;dN|]
converts the big array b
to a N
-dimensional array of dimensions d1
...dN
. The returned array and the original array b
share their data and have the same layout. For instance, assuming that b
is a one-dimensional array of dimension 12, reshape b [|3;4|]
returns a two-dimensional array b'
of dimensions 3 and 4. If b
has C layout, the element (x,y)
of b'
corresponds to the element x * 3 + y
of b
. If b
has Fortran layout, the element (x,y)
of b'
corresponds to the element x + (y - 1) * 4
of b
. The returned big array must have exactly the same number of elements as the original big array b
. That is, the product of the dimensions of b
must be equal to i1 * ... * iN
.
val reshape_0 : ('a, 'b, 'c) Genarray.t -> ('a, 'b, 'c) Array0.t
Specialized version of Bigarray.reshape
for reshaping to zero-dimensional arrays.
val reshape_1 : ('a, 'b, 'c) Genarray.t -> int -> ('a, 'b, 'c) Array1.t
Specialized version of Bigarray.reshape
for reshaping to one-dimensional arrays.
val reshape_2 : ('a, 'b, 'c) Genarray.t -> int -> int -> ('a, 'b, 'c) Array2.t
Specialized version of Bigarray.reshape
for reshaping to two-dimensional arrays.
val reshape_3 : ('a, 'b, 'c) Genarray.t -> int -> int -> int -> ('a, 'b, 'c) Array3.t
Specialized version of Bigarray.reshape
for reshaping to three-dimensional arrays.