1073 lines
31 KiB
C
1073 lines
31 KiB
C
/***********************************************************************/
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/* */
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/* Objective Caml */
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/* */
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/* Manuel Serrano and Xavier Leroy, INRIA Rocquencourt */
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/* */
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/* Copyright 2000 Institut National de Recherche en Informatique et */
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/* en Automatique. All rights reserved. This file is distributed */
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/* under the terms of the GNU Library General Public License, with */
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/* the special exception on linking described in file ../../LICENSE. */
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/* */
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/***********************************************************************/
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/* $Id$ */
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#include <stddef.h>
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#include <stdarg.h>
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#include <string.h>
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#include "alloc.h"
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#include "bigarray.h"
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#include "compare.h"
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#include "custom.h"
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#include "fail.h"
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#include "intext.h"
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#include "memory.h"
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#include "mlvalues.h"
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extern void bigarray_unmap_file(void * addr, unsigned long len);
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/* from mmap_xxx.c */
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/* Compute the number of elements of a big array */
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static unsigned long bigarray_num_elts(struct caml_bigarray * b)
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{
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unsigned long num_elts;
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int i;
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num_elts = 1;
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for (i = 0; i < b->num_dims; i++) num_elts = num_elts * b->dim[i];
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return num_elts;
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}
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/* Size in bytes of a bigarray element, indexed by bigarray kind */
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int bigarray_element_size[] =
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{ 4 /*FLOAT32*/, 8 /*FLOAT64*/,
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1 /*SINT8*/, 1 /*UINT8*/,
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2 /*SINT16*/, 2 /*UINT16*/,
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4 /*INT32*/, 8 /*INT64*/,
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sizeof(value) /*CAML_INT*/, sizeof(value) /*NATIVE_INT*/,
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8 /*COMPLEX32*/, 16 /*COMPLEX64*/
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};
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/* Compute the number of bytes for the elements of a big array */
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unsigned long bigarray_byte_size(struct caml_bigarray * b)
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{
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return bigarray_num_elts(b)
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* bigarray_element_size[b->flags & BIGARRAY_KIND_MASK];
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}
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/* Operation table for bigarrays */
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static void bigarray_finalize(value v);
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static int bigarray_compare(value v1, value v2);
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static long bigarray_hash(value v);
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static void bigarray_serialize(value, unsigned long *, unsigned long *);
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unsigned long bigarray_deserialize(void * dst);
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static struct custom_operations bigarray_ops = {
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"_bigarray",
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bigarray_finalize,
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bigarray_compare,
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bigarray_hash,
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bigarray_serialize,
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bigarray_deserialize
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};
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/* Multiplication of unsigned longs with overflow detection */
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static unsigned long
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bigarray_multov(unsigned long a, unsigned long b, int * overflow)
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{
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#define HALF_SIZE (sizeof(unsigned long) * 4)
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#define LOW_HALF(x) ((x) & ((1UL << HALF_SIZE) - 1))
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#define HIGH_HALF(x) ((x) >> HALF_SIZE)
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/* Cut in half words */
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unsigned long al = LOW_HALF(a);
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unsigned long ah = HIGH_HALF(a);
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unsigned long bl = LOW_HALF(b);
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unsigned long bh = HIGH_HALF(b);
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/* Exact product is:
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al * bl
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+ ah * bl << HALF_SIZE
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+ al * bh << HALF_SIZE
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+ ah * bh << 2*HALF_SIZE
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Overflow occurs if:
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ah * bh is not 0, i.e. ah != 0 and bh != 0
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OR ah * bl has high half != 0
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OR ah * bl has high half != 0
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OR the sum al * bl + LOW_HALF(ah * bl) << HALF_SIZE
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+ LOW_HALF(al * bh) << HALF_SIZE overflows.
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This sum is equal to p = (a * b) modulo word size. */
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unsigned long p1 = al * bh;
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unsigned long p2 = ah * bl;
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unsigned long p = a * b;
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if (ah != 0 && bh != 0) *overflow = 1;
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if (p1 >= (1UL << HALF_SIZE) || p2 >= (1UL << HALF_SIZE)) *overflow = 1;
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p1 <<= HALF_SIZE;
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p2 <<= HALF_SIZE;
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p1 += p2;
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if (p < p1 || p1 < p2) *overflow = 1; /* overflow in sums */
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return p;
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#undef HALF_SIZE
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#undef LOW_HALF
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#undef HIGH_HALF
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}
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/* Allocation of a big array */
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#define MAX_BIGARRAY_MEMORY 256*1024*1024
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/* 256 Mb -- after allocating that much, it's probably worth speeding
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up the major GC */
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/* [alloc_bigarray] will allocate a new bigarray object in the heap.
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If [data] is NULL, the memory for the contents is also allocated
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(with [malloc]) by [alloc_bigarray].
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[data] cannot point into the Caml heap.
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[dim] may point into an object in the Caml heap.
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*/
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CAMLexport value
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alloc_bigarray(int flags, int num_dims, void * data, long * dim)
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{
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unsigned long num_elts, size;
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int overflow, i;
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value res;
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struct caml_bigarray * b;
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long dimcopy[MAX_NUM_DIMS];
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Assert(num_dims >= 1 && num_dims <= MAX_NUM_DIMS);
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Assert((flags & BIGARRAY_KIND_MASK) <= BIGARRAY_COMPLEX64);
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for (i = 0; i < num_dims; i++) dimcopy[i] = dim[i];
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size = 0;
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if (data == NULL) {
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overflow = 0;
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num_elts = 1;
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for (i = 0; i < num_dims; i++) {
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num_elts = bigarray_multov(num_elts, dimcopy[i], &overflow);
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}
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size = bigarray_multov(num_elts,
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bigarray_element_size[flags & BIGARRAY_KIND_MASK],
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&overflow);
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if (overflow) raise_out_of_memory();
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data = malloc(size);
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if (data == NULL && size != 0) raise_out_of_memory();
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flags |= BIGARRAY_MANAGED;
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}
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res = alloc_custom(&bigarray_ops,
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sizeof(struct caml_bigarray)
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+ (num_dims - 1) * sizeof(long),
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size, MAX_BIGARRAY_MEMORY);
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b = Bigarray_val(res);
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b->data = data;
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b->num_dims = num_dims;
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b->flags = flags;
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b->proxy = NULL;
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for (i = 0; i < num_dims; i++) b->dim[i] = dimcopy[i];
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return res;
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}
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/* Same as alloc_bigarray, but dimensions are passed as a list of
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arguments */
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CAMLexport value alloc_bigarray_dims(int flags, int num_dims, void * data, ...)
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{
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va_list ap;
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long dim[MAX_NUM_DIMS];
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int i;
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value res;
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va_start(ap, data);
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for (i = 0; i < num_dims; i++) dim[i] = va_arg(ap, long);
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va_end(ap);
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res = alloc_bigarray(flags, num_dims, data, dim);
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return res;
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}
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/* Allocate a bigarray from Caml */
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CAMLprim value bigarray_create(value vkind, value vlayout, value vdim)
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{
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long dim[MAX_NUM_DIMS];
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mlsize_t num_dims;
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int i, flags;
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num_dims = Wosize_val(vdim);
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if (num_dims < 1 || num_dims > MAX_NUM_DIMS)
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invalid_argument("Bigarray.create: bad number of dimensions");
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for (i = 0; i < num_dims; i++) {
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dim[i] = Long_val(Field(vdim, i));
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if (dim[i] < 0 || dim[i] > 0x7FFFFFFFL)
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invalid_argument("Bigarray.create: negative dimension");
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}
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flags = Int_val(vkind) | Int_val(vlayout);
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return alloc_bigarray(flags, num_dims, NULL, dim);
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}
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/* Given a big array and a vector of indices, check that the indices
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are within the bounds and return the offset of the corresponding
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array element in the data part of the array. */
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static long bigarray_offset(struct caml_bigarray * b, long * index)
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{
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long offset;
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int i;
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offset = 0;
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if ((b->flags & BIGARRAY_LAYOUT_MASK) == BIGARRAY_C_LAYOUT) {
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/* C-style layout: row major, indices start at 0 */
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for (i = 0; i < b->num_dims; i++) {
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if ((unsigned long) index[i] >= (unsigned long) b->dim[i])
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array_bound_error();
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offset = offset * b->dim[i] + index[i];
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}
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} else {
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/* Fortran-style layout: column major, indices start at 1 */
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for (i = b->num_dims - 1; i >= 0; i--) {
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if ((unsigned long) (index[i] - 1) >= (unsigned long) b->dim[i])
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array_bound_error();
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offset = offset * b->dim[i] + (index[i] - 1);
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}
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}
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return offset;
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}
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/* Helper function to allocate a record of two double floats */
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static value copy_two_doubles(double d0, double d1)
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{
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value res = alloc_small(2 * Double_wosize, Double_array_tag);
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Store_double_field(res, 0, d0);
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Store_double_field(res, 1, d1);
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return res;
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}
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/* Generic code to read from a big array */
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value bigarray_get_N(value vb, value * vind, int nind)
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{
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struct caml_bigarray * b = Bigarray_val(vb);
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long index[MAX_NUM_DIMS];
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int i;
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long offset;
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/* Check number of indices = number of dimensions of array
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(maybe not necessary if ML typing guarantees this) */
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if (nind != b->num_dims)
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invalid_argument("Bigarray.get: wrong number of indices");
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/* Compute offset and check bounds */
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for (i = 0; i < b->num_dims; i++) index[i] = Long_val(vind[i]);
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offset = bigarray_offset(b, index);
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/* Perform read */
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switch ((b->flags) & BIGARRAY_KIND_MASK) {
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default:
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Assert(0);
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case BIGARRAY_FLOAT32:
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return copy_double(((float *) b->data)[offset]);
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case BIGARRAY_FLOAT64:
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return copy_double(((double *) b->data)[offset]);
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case BIGARRAY_SINT8:
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return Val_int(((schar *) b->data)[offset]);
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case BIGARRAY_UINT8:
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return Val_int(((unsigned char *) b->data)[offset]);
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case BIGARRAY_SINT16:
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return Val_int(((int16 *) b->data)[offset]);
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case BIGARRAY_UINT16:
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return Val_int(((uint16 *) b->data)[offset]);
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case BIGARRAY_INT32:
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return copy_int32(((int32 *) b->data)[offset]);
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case BIGARRAY_INT64:
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return copy_int64(((int64 *) b->data)[offset]);
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case BIGARRAY_NATIVE_INT:
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return copy_nativeint(((long *) b->data)[offset]);
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case BIGARRAY_CAML_INT:
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return Val_long(((long *) b->data)[offset]);
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case BIGARRAY_COMPLEX32:
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{ float * p = ((float *) b->data) + offset * 2;
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return copy_two_doubles(p[0], p[1]); }
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case BIGARRAY_COMPLEX64:
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{ double * p = ((double *) b->data) + offset * 2;
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return copy_two_doubles(p[0], p[1]); }
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}
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}
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CAMLprim value bigarray_get_1(value vb, value vind1)
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{
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return bigarray_get_N(vb, &vind1, 1);
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}
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CAMLprim value bigarray_get_2(value vb, value vind1, value vind2)
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{
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value vind[2];
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vind[0] = vind1; vind[1] = vind2;
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return bigarray_get_N(vb, vind, 2);
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}
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CAMLprim value bigarray_get_3(value vb, value vind1, value vind2, value vind3)
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{
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value vind[3];
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vind[0] = vind1; vind[1] = vind2; vind[2] = vind3;
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return bigarray_get_N(vb, vind, 3);
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}
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#if 0
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CAMLprim value bigarray_get_4(value vb, value vind1, value vind2,
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value vind3, value vind4)
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{
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value vind[4];
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vind[0] = vind1; vind[1] = vind2; vind[2] = vind3; vind[3] = vind4;
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return bigarray_get_N(vb, vind, 4);
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}
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CAMLprim value bigarray_get_5(value vb, value vind1, value vind2,
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value vind3, value vind4, value vind5)
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{
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value vind[5];
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vind[0] = vind1; vind[1] = vind2; vind[2] = vind3;
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vind[3] = vind4; vind[4] = vind5;
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return bigarray_get_N(vb, vind, 5);
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}
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CAMLprim value bigarray_get_6(value vb, value vind1, value vind2,
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value vind3, value vind4, value vind5, value vind6)
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{
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value vind[6];
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vind[0] = vind1; vind[1] = vind2; vind[2] = vind3;
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vind[3] = vind4; vind[4] = vind5; vind[5] = vind6;
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return bigarray_get_N(vb, vind, 6);
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}
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#endif
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CAMLprim value bigarray_get_generic(value vb, value vind)
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{
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return bigarray_get_N(vb, &Field(vind, 0), Wosize_val(vind));
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}
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/* Generic write to a big array */
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static value bigarray_set_aux(value vb, value * vind, long nind, value newval)
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{
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struct caml_bigarray * b = Bigarray_val(vb);
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long index[MAX_NUM_DIMS];
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int i;
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long offset;
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/* Check number of indices = number of dimensions of array
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(maybe not necessary if ML typing guarantees this) */
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if (nind != b->num_dims)
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invalid_argument("Bigarray.set: wrong number of indices");
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/* Compute offset and check bounds */
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for (i = 0; i < b->num_dims; i++) index[i] = Long_val(vind[i]);
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offset = bigarray_offset(b, index);
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/* Perform write */
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switch (b->flags & BIGARRAY_KIND_MASK) {
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default:
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Assert(0);
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case BIGARRAY_FLOAT32:
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((float *) b->data)[offset] = Double_val(newval); break;
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case BIGARRAY_FLOAT64:
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((double *) b->data)[offset] = Double_val(newval); break;
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case BIGARRAY_SINT8:
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case BIGARRAY_UINT8:
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((schar *) b->data)[offset] = Int_val(newval); break;
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case BIGARRAY_SINT16:
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case BIGARRAY_UINT16:
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((int16 *) b->data)[offset] = Int_val(newval); break;
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case BIGARRAY_INT32:
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((int32 *) b->data)[offset] = Int32_val(newval); break;
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case BIGARRAY_INT64:
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((int64 *) b->data)[offset] = Int64_val(newval); break;
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case BIGARRAY_NATIVE_INT:
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((long *) b->data)[offset] = Nativeint_val(newval); break;
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case BIGARRAY_CAML_INT:
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((long *) b->data)[offset] = Long_val(newval); break;
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case BIGARRAY_COMPLEX32:
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{ float * p = ((float *) b->data) + offset * 2;
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p[0] = Double_field(newval, 0);
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p[1] = Double_field(newval, 1);
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break; }
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case BIGARRAY_COMPLEX64:
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{ double * p = ((double *) b->data) + offset * 2;
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p[0] = Double_field(newval, 0);
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p[1] = Double_field(newval, 1);
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break; }
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}
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return Val_unit;
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}
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CAMLprim value bigarray_set_1(value vb, value vind1, value newval)
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{
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return bigarray_set_aux(vb, &vind1, 1, newval);
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}
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CAMLprim value bigarray_set_2(value vb, value vind1, value vind2, value newval)
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{
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value vind[2];
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vind[0] = vind1; vind[1] = vind2;
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return bigarray_set_aux(vb, vind, 2, newval);
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}
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CAMLprim value bigarray_set_3(value vb, value vind1, value vind2, value vind3,
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value newval)
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{
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value vind[3];
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vind[0] = vind1; vind[1] = vind2; vind[2] = vind3;
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return bigarray_set_aux(vb, vind, 3, newval);
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}
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#if 0
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CAMLprim value bigarray_set_4(value vb, value vind1, value vind2,
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value vind3, value vind4, value newval)
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{
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value vind[4];
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vind[0] = vind1; vind[1] = vind2; vind[2] = vind3; vind[3] = vind4;
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return bigarray_set_aux(vb, vind, 4, newval);
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}
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CAMLprim value bigarray_set_5(value vb, value vind1, value vind2,
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value vind3, value vind4, value vind5, value newval)
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{
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value vind[5];
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vind[0] = vind1; vind[1] = vind2; vind[2] = vind3;
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vind[3] = vind4; vind[4] = vind5;
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return bigarray_set_aux(vb, vind, 5, newval);
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}
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CAMLprim value bigarray_set_6(value vb, value vind1, value vind2,
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value vind3, value vind4, value vind5,
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value vind6, value newval)
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{
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value vind[6];
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vind[0] = vind1; vind[1] = vind2; vind[2] = vind3;
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vind[3] = vind4; vind[4] = vind5; vind[5] = vind6;
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return bigarray_set_aux(vb, vind, 6, newval);
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}
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value bigarray_set_N(value vb, value * vind, int nargs)
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{
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return bigarray_set_aux(vb, vind, nargs - 1, vind[nargs - 1]);
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}
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#endif
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CAMLprim value bigarray_set_generic(value vb, value vind, value newval)
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{
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return bigarray_set_aux(vb, &Field(vind, 0), Wosize_val(vind), newval);
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}
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/* Return the number of dimensions of a big array */
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CAMLprim value bigarray_num_dims(value vb)
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{
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struct caml_bigarray * b = Bigarray_val(vb);
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return Val_long(b->num_dims);
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}
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/* Return the n-th dimension of a big array */
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CAMLprim value bigarray_dim(value vb, value vn)
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{
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struct caml_bigarray * b = Bigarray_val(vb);
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long n = Long_val(vn);
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if (n >= b->num_dims) invalid_argument("Bigarray.dim");
|
|
return Val_long(b->dim[n]);
|
|
}
|
|
|
|
/* Return the kind of a big array */
|
|
|
|
CAMLprim value bigarray_kind(value vb)
|
|
{
|
|
return Val_int(Bigarray_val(vb)->flags & BIGARRAY_KIND_MASK);
|
|
}
|
|
|
|
/* Return the layout of a big array */
|
|
|
|
CAMLprim value bigarray_layout(value vb)
|
|
{
|
|
return Val_int(Bigarray_val(vb)->flags & BIGARRAY_LAYOUT_MASK);
|
|
}
|
|
|
|
/* Finalization of a big array */
|
|
|
|
static void bigarray_finalize(value v)
|
|
{
|
|
struct caml_bigarray * b = Bigarray_val(v);
|
|
|
|
switch (b->flags & BIGARRAY_MANAGED_MASK) {
|
|
case BIGARRAY_EXTERNAL:
|
|
break;
|
|
case BIGARRAY_MANAGED:
|
|
if (b->proxy == NULL) {
|
|
free(b->data);
|
|
} else {
|
|
if (-- b->proxy->refcount == 0) {
|
|
free(b->proxy->data);
|
|
stat_free(b->proxy);
|
|
}
|
|
}
|
|
break;
|
|
case BIGARRAY_MAPPED_FILE:
|
|
if (b->proxy == NULL) {
|
|
bigarray_unmap_file(b->data, bigarray_byte_size(b));
|
|
} else {
|
|
if (-- b->proxy->refcount == 0) {
|
|
bigarray_unmap_file(b->proxy->data, b->proxy->size);
|
|
stat_free(b->proxy);
|
|
}
|
|
}
|
|
break;
|
|
}
|
|
}
|
|
|
|
/* Comparison of two big arrays */
|
|
|
|
static int bigarray_compare(value v1, value v2)
|
|
{
|
|
struct caml_bigarray * b1 = Bigarray_val(v1);
|
|
struct caml_bigarray * b2 = Bigarray_val(v2);
|
|
unsigned long n, num_elts;
|
|
int i;
|
|
|
|
/* Compare number of dimensions */
|
|
if (b1->num_dims != b2->num_dims) return b2->num_dims - b1->num_dims;
|
|
/* Same number of dimensions: compare dimensions lexicographically */
|
|
for (i = 0; i < b1->num_dims; i++) {
|
|
long d1 = b1->dim[i];
|
|
long d2 = b2->dim[i];
|
|
if (d1 != d2) return d1 < d2 ? -1 : 1;
|
|
}
|
|
/* Same dimensions: compare contents lexicographically */
|
|
num_elts = bigarray_num_elts(b1);
|
|
|
|
#define DO_INTEGER_COMPARISON(type) \
|
|
{ type * p1 = b1->data; type * p2 = b2->data; \
|
|
for (n = 0; n < num_elts; n++) { \
|
|
type e1 = *p1++; type e2 = *p2++; \
|
|
if (e1 < e2) return -1; \
|
|
if (e1 > e2) return 1; \
|
|
} \
|
|
return 0; \
|
|
}
|
|
#define DO_FLOAT_COMPARISON(type) \
|
|
{ type * p1 = b1->data; type * p2 = b2->data; \
|
|
for (n = 0; n < num_elts; n++) { \
|
|
type e1 = *p1++; type e2 = *p2++; \
|
|
if (e1 < e2) return -1; \
|
|
if (e1 > e2) return 1; \
|
|
if (e1 != e2) { \
|
|
compare_unordered = 1; \
|
|
if (e1 == e1) return 1; \
|
|
if (e2 == e2) return -1; \
|
|
} \
|
|
} \
|
|
return 0; \
|
|
}
|
|
|
|
switch (b1->flags & BIGARRAY_KIND_MASK) {
|
|
case BIGARRAY_COMPLEX32:
|
|
num_elts *= 2; /*fallthrough*/
|
|
case BIGARRAY_FLOAT32:
|
|
DO_FLOAT_COMPARISON(float);
|
|
case BIGARRAY_COMPLEX64:
|
|
num_elts *= 2; /*fallthrough*/
|
|
case BIGARRAY_FLOAT64:
|
|
DO_FLOAT_COMPARISON(double);
|
|
case BIGARRAY_SINT8:
|
|
DO_INTEGER_COMPARISON(schar);
|
|
case BIGARRAY_UINT8:
|
|
DO_INTEGER_COMPARISON(unsigned char);
|
|
case BIGARRAY_SINT16:
|
|
DO_INTEGER_COMPARISON(int16);
|
|
case BIGARRAY_UINT16:
|
|
DO_INTEGER_COMPARISON(uint16);
|
|
case BIGARRAY_INT32:
|
|
DO_INTEGER_COMPARISON(int32);
|
|
case BIGARRAY_INT64:
|
|
#ifdef ARCH_INT64_TYPE
|
|
DO_INTEGER_COMPARISON(int64);
|
|
#else
|
|
{ int64 * p1 = b1->data; int64 * p2 = b2->data;
|
|
for (n = 0; n < num_elts; n++) {
|
|
int64 e1 = *p1++; int64 e2 = *p2++;
|
|
if ((int32)e1.h > (int32)e2.h) return 1;
|
|
if ((int32)e1.h < (int32)e2.h) return -1;
|
|
if (e1.l > e2.l) return 1;
|
|
if (e1.l < e2.l) return -1;
|
|
}
|
|
return 0;
|
|
}
|
|
#endif
|
|
case BIGARRAY_CAML_INT:
|
|
case BIGARRAY_NATIVE_INT:
|
|
DO_INTEGER_COMPARISON(long);
|
|
default:
|
|
Assert(0);
|
|
return 0; /* should not happen */
|
|
}
|
|
#undef DO_INTEGER_COMPARISON
|
|
#undef DO_FLOAT_COMPARISON
|
|
}
|
|
|
|
/* Hashing of a bigarray */
|
|
|
|
static long bigarray_hash(value v)
|
|
{
|
|
struct caml_bigarray * b = Bigarray_val(v);
|
|
long num_elts, n, h;
|
|
int i;
|
|
|
|
num_elts = 1;
|
|
for (i = 0; i < b->num_dims; i++) num_elts = num_elts * b->dim[i];
|
|
if (num_elts >= 50) num_elts = 50;
|
|
h = 0;
|
|
|
|
#define COMBINE(h,v) ((h << 4) + h + (v))
|
|
|
|
switch (b->flags & BIGARRAY_KIND_MASK) {
|
|
case BIGARRAY_SINT8:
|
|
case BIGARRAY_UINT8: {
|
|
unsigned char * p = b->data;
|
|
for (n = 0; n < num_elts; n++) h = COMBINE(h, *p++);
|
|
break;
|
|
}
|
|
case BIGARRAY_SINT16:
|
|
case BIGARRAY_UINT16: {
|
|
unsigned short * p = b->data;
|
|
for (n = 0; n < num_elts; n++) h = COMBINE(h, *p++);
|
|
break;
|
|
}
|
|
case BIGARRAY_FLOAT32:
|
|
case BIGARRAY_COMPLEX32:
|
|
case BIGARRAY_INT32:
|
|
#ifndef ARCH_SIXTYFOUR
|
|
case BIGARRAY_CAML_INT:
|
|
case BIGARRAY_NATIVE_INT:
|
|
#endif
|
|
{
|
|
uint32 * p = b->data;
|
|
for (n = 0; n < num_elts; n++) h = COMBINE(h, *p++);
|
|
break;
|
|
}
|
|
case BIGARRAY_FLOAT64:
|
|
case BIGARRAY_COMPLEX64:
|
|
case BIGARRAY_INT64:
|
|
#ifdef ARCH_SIXTYFOUR
|
|
case BIGARRAY_CAML_INT:
|
|
case BIGARRAY_NATIVE_INT:
|
|
#endif
|
|
#ifdef ARCH_SIXTYFOUR
|
|
{
|
|
unsigned long * p = b->data;
|
|
for (n = 0; n < num_elts; n++) h = COMBINE(h, *p++);
|
|
break;
|
|
}
|
|
#else
|
|
{
|
|
uint32 * p = b->data;
|
|
for (n = 0; n < num_elts; n++) {
|
|
#ifdef ARCH_BIG_ENDIAN
|
|
h = COMBINE(h, p[1]); h = COMBINE(h, p[0]); p += 2;
|
|
#else
|
|
h = COMBINE(h, p[0]); h = COMBINE(h, p[1]); p += 2;
|
|
#endif
|
|
}
|
|
break;
|
|
}
|
|
#endif
|
|
}
|
|
#undef COMBINE
|
|
return h;
|
|
}
|
|
|
|
static void bigarray_serialize_longarray(void * data,
|
|
long num_elts,
|
|
long min_val, long max_val)
|
|
{
|
|
#ifdef ARCH_SIXTYFOUR
|
|
int overflow_32 = 0;
|
|
long * p, n;
|
|
for (n = 0, p = data; n < num_elts; n++, p++) {
|
|
if (*p < min_val || *p > max_val) { overflow_32 = 1; break; }
|
|
}
|
|
if (overflow_32) {
|
|
serialize_int_1(1);
|
|
serialize_block_8(data, num_elts);
|
|
} else {
|
|
serialize_int_1(0);
|
|
for (n = 0, p = data; n < num_elts; n++, p++) serialize_int_4((int32) *p);
|
|
}
|
|
#else
|
|
serialize_int_1(0);
|
|
serialize_block_4(data, num_elts);
|
|
#endif
|
|
}
|
|
|
|
static void bigarray_serialize(value v,
|
|
unsigned long * wsize_32,
|
|
unsigned long * wsize_64)
|
|
{
|
|
struct caml_bigarray * b = Bigarray_val(v);
|
|
long num_elts;
|
|
int i;
|
|
|
|
/* Serialize header information */
|
|
serialize_int_4(b->num_dims);
|
|
serialize_int_4(b->flags & (BIGARRAY_KIND_MASK | BIGARRAY_LAYOUT_MASK));
|
|
for (i = 0; i < b->num_dims; i++) serialize_int_4(b->dim[i]);
|
|
/* Compute total number of elements */
|
|
num_elts = 1;
|
|
for (i = 0; i < b->num_dims; i++) num_elts = num_elts * b->dim[i];
|
|
/* Serialize elements */
|
|
switch (b->flags & BIGARRAY_KIND_MASK) {
|
|
case BIGARRAY_SINT8:
|
|
case BIGARRAY_UINT8:
|
|
serialize_block_1(b->data, num_elts); break;
|
|
case BIGARRAY_SINT16:
|
|
case BIGARRAY_UINT16:
|
|
serialize_block_2(b->data, num_elts); break;
|
|
case BIGARRAY_FLOAT32:
|
|
case BIGARRAY_INT32:
|
|
serialize_block_4(b->data, num_elts); break;
|
|
case BIGARRAY_COMPLEX32:
|
|
serialize_block_4(b->data, num_elts * 2); break;
|
|
case BIGARRAY_FLOAT64:
|
|
case BIGARRAY_INT64:
|
|
serialize_block_8(b->data, num_elts); break;
|
|
case BIGARRAY_COMPLEX64:
|
|
serialize_block_8(b->data, num_elts * 2); break;
|
|
case BIGARRAY_CAML_INT:
|
|
bigarray_serialize_longarray(b->data, num_elts, -0x40000000, 0x3FFFFFFF);
|
|
break;
|
|
case BIGARRAY_NATIVE_INT:
|
|
bigarray_serialize_longarray(b->data, num_elts, -0x80000000, 0x7FFFFFFF);
|
|
break;
|
|
}
|
|
/* Compute required size in Caml heap. Assumes struct caml_bigarray
|
|
is exactly 4 + num_dims words */
|
|
Assert(sizeof(struct caml_bigarray) == 5 * sizeof(value));
|
|
*wsize_32 = (4 + b->num_dims) * 4;
|
|
*wsize_64 = (4 + b->num_dims) * 8;
|
|
}
|
|
|
|
static void bigarray_deserialize_longarray(void * dest, long num_elts)
|
|
{
|
|
int sixty = deserialize_uint_1();
|
|
#ifdef ARCH_SIXTYFOUR
|
|
if (sixty) {
|
|
deserialize_block_8(dest, num_elts);
|
|
} else {
|
|
long * p, n;
|
|
for (n = 0, p = dest; n < num_elts; n++, p++) *p = deserialize_sint_4();
|
|
}
|
|
#else
|
|
if (sixty)
|
|
deserialize_error("input_value: cannot read bigarray "
|
|
"with 64-bit Caml ints");
|
|
deserialize_block_4(dest, num_elts);
|
|
#endif
|
|
}
|
|
|
|
unsigned long bigarray_deserialize(void * dst)
|
|
{
|
|
struct caml_bigarray * b = dst;
|
|
int i, elt_size;
|
|
unsigned long num_elts;
|
|
|
|
/* Read back header information */
|
|
b->num_dims = deserialize_uint_4();
|
|
b->flags = deserialize_uint_4() | BIGARRAY_MANAGED;
|
|
b->proxy = NULL;
|
|
for (i = 0; i < b->num_dims; i++) b->dim[i] = deserialize_uint_4();
|
|
/* Compute total number of elements */
|
|
num_elts = bigarray_num_elts(b);
|
|
/* Determine element size in bytes */
|
|
if ((b->flags & BIGARRAY_KIND_MASK) > BIGARRAY_COMPLEX64)
|
|
deserialize_error("input_value: bad bigarray kind");
|
|
elt_size = bigarray_element_size[b->flags & BIGARRAY_KIND_MASK];
|
|
/* Allocate room for data */
|
|
b->data = malloc(elt_size * num_elts);
|
|
if (b->data == NULL)
|
|
deserialize_error("input_value: out of memory for bigarray");
|
|
/* Read data */
|
|
switch (b->flags & BIGARRAY_KIND_MASK) {
|
|
case BIGARRAY_SINT8:
|
|
case BIGARRAY_UINT8:
|
|
deserialize_block_1(b->data, num_elts); break;
|
|
case BIGARRAY_SINT16:
|
|
case BIGARRAY_UINT16:
|
|
deserialize_block_2(b->data, num_elts); break;
|
|
case BIGARRAY_FLOAT32:
|
|
case BIGARRAY_INT32:
|
|
deserialize_block_4(b->data, num_elts); break;
|
|
case BIGARRAY_COMPLEX32:
|
|
deserialize_block_4(b->data, num_elts * 2); break;
|
|
case BIGARRAY_FLOAT64:
|
|
case BIGARRAY_INT64:
|
|
deserialize_block_8(b->data, num_elts); break;
|
|
case BIGARRAY_COMPLEX64:
|
|
deserialize_block_8(b->data, num_elts * 2); break;
|
|
case BIGARRAY_CAML_INT:
|
|
case BIGARRAY_NATIVE_INT:
|
|
bigarray_deserialize_longarray(b->data, num_elts); break;
|
|
}
|
|
return sizeof(struct caml_bigarray) + (b->num_dims - 1) * sizeof(long);
|
|
}
|
|
|
|
/* Create / update proxy to indicate that b2 is a sub-array of b1 */
|
|
|
|
static void bigarray_update_proxy(struct caml_bigarray * b1,
|
|
struct caml_bigarray * b2)
|
|
{
|
|
struct caml_bigarray_proxy * proxy;
|
|
/* Nothing to do for un-managed arrays */
|
|
if ((b1->flags & BIGARRAY_MANAGED_MASK) == BIGARRAY_EXTERNAL) return;
|
|
if (b1->proxy != NULL) {
|
|
/* If b1 is already a proxy for a larger array, increment refcount of
|
|
proxy */
|
|
b2->proxy = b1->proxy;
|
|
++ b1->proxy->refcount;
|
|
} else {
|
|
/* Otherwise, create proxy and attach it to both b1 and b2 */
|
|
proxy = stat_alloc(sizeof(struct caml_bigarray_proxy));
|
|
proxy->refcount = 2; /* original array + sub array */
|
|
proxy->data = b1->data;
|
|
proxy->size =
|
|
b1->flags & BIGARRAY_MAPPED_FILE ? bigarray_byte_size(b1) : 0;
|
|
b1->proxy = proxy;
|
|
b2->proxy = proxy;
|
|
}
|
|
}
|
|
|
|
/* Slicing */
|
|
|
|
CAMLprim value bigarray_slice(value vb, value vind)
|
|
{
|
|
CAMLparam2 (vb, vind);
|
|
#define b ((struct caml_bigarray *) Bigarray_val(vb))
|
|
CAMLlocal1 (res);
|
|
long index[MAX_NUM_DIMS];
|
|
int num_inds, i;
|
|
long offset;
|
|
long * sub_dims;
|
|
char * sub_data;
|
|
|
|
/* Check number of indices < number of dimensions of array */
|
|
num_inds = Wosize_val(vind);
|
|
if (num_inds >= b->num_dims)
|
|
invalid_argument("Bigarray.slice: too many indices");
|
|
/* Compute offset and check bounds */
|
|
if ((b->flags & BIGARRAY_LAYOUT_MASK) == BIGARRAY_C_LAYOUT) {
|
|
/* We slice from the left */
|
|
for (i = 0; i < num_inds; i++) index[i] = Long_val(Field(vind, i));
|
|
for (/*nothing*/; i < b->num_dims; i++) index[i] = 0;
|
|
offset = bigarray_offset(b, index);
|
|
sub_dims = b->dim + num_inds;
|
|
} else {
|
|
/* We slice from the right */
|
|
for (i = 0; i < num_inds; i++)
|
|
index[b->num_dims - num_inds + i] = Long_val(Field(vind, i));
|
|
for (i = 0; i < b->num_dims - num_inds; i++) index[i] = 1;
|
|
offset = bigarray_offset(b, index);
|
|
sub_dims = b->dim;
|
|
}
|
|
sub_data =
|
|
(char *) b->data +
|
|
offset * bigarray_element_size[b->flags & BIGARRAY_KIND_MASK];
|
|
/* Allocate a Caml bigarray to hold the result */
|
|
res = alloc_bigarray(b->flags, b->num_dims - num_inds, sub_data, sub_dims);
|
|
/* Create or update proxy in case of managed bigarray */
|
|
bigarray_update_proxy(b, Bigarray_val(res));
|
|
/* Return result */
|
|
CAMLreturn (res);
|
|
|
|
#undef b
|
|
}
|
|
|
|
/* Extracting a sub-array of same number of dimensions */
|
|
|
|
CAMLprim value bigarray_sub(value vb, value vofs, value vlen)
|
|
{
|
|
CAMLparam3 (vb, vofs, vlen);
|
|
CAMLlocal1 (res);
|
|
#define b ((struct caml_bigarray *) Bigarray_val(vb))
|
|
long ofs = Long_val(vofs);
|
|
long len = Long_val(vlen);
|
|
int i, changed_dim;
|
|
long mul;
|
|
char * sub_data;
|
|
|
|
/* Compute offset and check bounds */
|
|
if ((b->flags & BIGARRAY_LAYOUT_MASK) == BIGARRAY_C_LAYOUT) {
|
|
/* We reduce the first dimension */
|
|
mul = 1;
|
|
for (i = 1; i < b->num_dims; i++) mul *= b->dim[i];
|
|
changed_dim = 0;
|
|
} else {
|
|
/* We reduce the last dimension */
|
|
mul = 1;
|
|
for (i = 0; i < b->num_dims - 1; i++) mul *= b->dim[i];
|
|
changed_dim = b->num_dims - 1;
|
|
ofs--; /* Fortran arrays start at 1 */
|
|
}
|
|
if (ofs < 0 || len < 0 || ofs + len > b->dim[changed_dim])
|
|
invalid_argument("Bigarray.sub: bad sub-array");
|
|
sub_data =
|
|
(char *) b->data +
|
|
ofs * mul * bigarray_element_size[b->flags & BIGARRAY_KIND_MASK];
|
|
/* Allocate a Caml bigarray to hold the result */
|
|
res = alloc_bigarray(b->flags, b->num_dims, sub_data, b->dim);
|
|
/* Doctor the changed dimension */
|
|
Bigarray_val(res)->dim[changed_dim] = len;
|
|
/* Create or update proxy in case of managed bigarray */
|
|
bigarray_update_proxy(b, Bigarray_val(res));
|
|
/* Return result */
|
|
CAMLreturn (res);
|
|
|
|
#undef b
|
|
}
|
|
|
|
/* Copying a big array into another one */
|
|
|
|
CAMLprim value bigarray_blit(value vsrc, value vdst)
|
|
{
|
|
struct caml_bigarray * src = Bigarray_val(vsrc);
|
|
struct caml_bigarray * dst = Bigarray_val(vdst);
|
|
int i;
|
|
long num_bytes;
|
|
|
|
/* Check same numbers of dimensions and same dimensions */
|
|
if (src->num_dims != dst->num_dims) goto blit_error;
|
|
for (i = 0; i < src->num_dims; i++)
|
|
if (src->dim[i] != dst->dim[i]) goto blit_error;
|
|
/* Compute number of bytes in array data */
|
|
num_bytes =
|
|
bigarray_num_elts(src)
|
|
* bigarray_element_size[src->flags & BIGARRAY_KIND_MASK];
|
|
/* Do the copying */
|
|
memmove (dst->data, src->data, num_bytes);
|
|
return Val_unit;
|
|
blit_error:
|
|
invalid_argument("Bigarray.blit: dimension mismatch");
|
|
return Val_unit; /* not reached */
|
|
}
|
|
|
|
/* Filling a big array with a given value */
|
|
|
|
CAMLprim value bigarray_fill(value vb, value vinit)
|
|
{
|
|
struct caml_bigarray * b = Bigarray_val(vb);
|
|
long num_elts = bigarray_num_elts(b);
|
|
|
|
switch (b->flags & BIGARRAY_KIND_MASK) {
|
|
default:
|
|
Assert(0);
|
|
case BIGARRAY_FLOAT32: {
|
|
float init = Double_val(vinit);
|
|
float * p;
|
|
for (p = b->data; num_elts > 0; p++, num_elts--) *p = init;
|
|
break;
|
|
}
|
|
case BIGARRAY_FLOAT64: {
|
|
double init = Double_val(vinit);
|
|
double * p;
|
|
for (p = b->data; num_elts > 0; p++, num_elts--) *p = init;
|
|
break;
|
|
}
|
|
case BIGARRAY_SINT8:
|
|
case BIGARRAY_UINT8: {
|
|
int init = Int_val(vinit);
|
|
char * p;
|
|
for (p = b->data; num_elts > 0; p++, num_elts--) *p = init;
|
|
break;
|
|
}
|
|
case BIGARRAY_SINT16:
|
|
case BIGARRAY_UINT16: {
|
|
int init = Int_val(vinit);
|
|
short * p;
|
|
for (p = b->data; num_elts > 0; p++, num_elts--) *p = init;
|
|
break;
|
|
}
|
|
case BIGARRAY_INT32: {
|
|
int32 init = Int32_val(vinit);
|
|
int32 * p;
|
|
for (p = b->data; num_elts > 0; p++, num_elts--) *p = init;
|
|
break;
|
|
}
|
|
case BIGARRAY_INT64: {
|
|
int64 init = Int64_val(vinit);
|
|
int64 * p;
|
|
for (p = b->data; num_elts > 0; p++, num_elts--) *p = init;
|
|
break;
|
|
}
|
|
case BIGARRAY_NATIVE_INT: {
|
|
long init = Nativeint_val(vinit);
|
|
long * p;
|
|
for (p = b->data; num_elts > 0; p++, num_elts--) *p = init;
|
|
break;
|
|
}
|
|
case BIGARRAY_CAML_INT: {
|
|
long init = Long_val(vinit);
|
|
long * p;
|
|
for (p = b->data; num_elts > 0; p++, num_elts--) *p = init;
|
|
break;
|
|
}
|
|
case BIGARRAY_COMPLEX32: {
|
|
float init0 = Double_field(vinit, 0);
|
|
float init1 = Double_field(vinit, 1);
|
|
float * p;
|
|
for (p = b->data; num_elts > 0; num_elts--) { *p++ = init0; *p++ = init1; }
|
|
break;
|
|
}
|
|
case BIGARRAY_COMPLEX64: {
|
|
double init0 = Double_field(vinit, 0);
|
|
double init1 = Double_field(vinit, 1);
|
|
double * p;
|
|
for (p = b->data; num_elts > 0; num_elts--) { *p++ = init0; *p++ = init1; }
|
|
break;
|
|
}
|
|
}
|
|
return Val_unit;
|
|
}
|
|
|
|
/* Reshape an array: change dimensions and number of dimensions, preserving
|
|
array contents */
|
|
|
|
CAMLprim value bigarray_reshape(value vb, value vdim)
|
|
{
|
|
CAMLparam2 (vb, vdim);
|
|
CAMLlocal1 (res);
|
|
#define b ((struct caml_bigarray *) Bigarray_val(vb))
|
|
long dim[MAX_NUM_DIMS];
|
|
mlsize_t num_dims;
|
|
unsigned long num_elts;
|
|
int i;
|
|
|
|
num_dims = Wosize_val(vdim);
|
|
if (num_dims < 1 || num_dims > MAX_NUM_DIMS)
|
|
invalid_argument("Bigarray.reshape: bad number of dimensions");
|
|
num_elts = 1;
|
|
for (i = 0; i < num_dims; i++) {
|
|
dim[i] = Long_val(Field(vdim, i));
|
|
if (dim[i] < 0 || dim[i] > 0x7FFFFFFFL)
|
|
invalid_argument("Bigarray.reshape: negative dimension");
|
|
num_elts *= dim[i];
|
|
}
|
|
/* Check that sizes agree */
|
|
if (num_elts != bigarray_num_elts(b))
|
|
invalid_argument("Bigarray.reshape: size mismatch");
|
|
/* Create bigarray with same data and new dimensions */
|
|
res = alloc_bigarray(b->flags, num_dims, b->data, dim);
|
|
/* Create or update proxy in case of managed bigarray */
|
|
bigarray_update_proxy(b, Bigarray_val(res));
|
|
/* Return result */
|
|
CAMLreturn (res);
|
|
|
|
#undef b
|
|
}
|
|
|
|
/* Initialization */
|
|
|
|
CAMLprim value bigarray_init(value unit)
|
|
{
|
|
register_custom_operations(&bigarray_ops);
|
|
return Val_unit;
|
|
}
|