/***********************************************************************/ /* */ /* Objective Caml */ /* */ /* Manuel Serrano and Xavier Leroy, INRIA Rocquencourt */ /* */ /* Copyright 2000 Institut National de Recherche en Informatique et */ /* en Automatique. All rights reserved. This file is distributed */ /* under the terms of the GNU Library General Public License. */ /* */ /***********************************************************************/ /* $Id$ */ #include #include #include #include "alloc.h" #include "bigarray.h" #include "custom.h" #include "fail.h" #include "intext.h" #include "memory.h" #include "mlvalues.h" extern void bigarray_unmap_file(void * addr, unsigned long len); /* from mmap_xxx.c */ /* Compute the number of elements of a big array */ static unsigned long bigarray_num_elts(struct caml_bigarray * b) { unsigned long num_elts; int i; num_elts = 1; for (i = 0; i < b->num_dims; i++) num_elts = num_elts * b->dim[i]; return num_elts; } /* Size in bytes of a bigarray element, indexed by bigarray kind */ int bigarray_element_size[] = { 4 /*FLOAT32*/, 8 /*FLOAT64*/, 1 /*SINT8*/, 1 /*UINT8*/, 2 /*SINT16*/, 2 /*UINT16*/, 4 /*INT32*/, 8 /*INT64*/, sizeof(value) /*CAML_INT*/, sizeof(value) /*NATIVE_INT*/ }; /* Compute the number of bytes for the elements of a big array */ unsigned long bigarray_byte_size(struct caml_bigarray * b) { return bigarray_num_elts(b) * bigarray_element_size[b->flags & BIGARRAY_KIND_MASK]; } /* Operation table for bigarrays */ static void bigarray_finalize(value v); static int bigarray_compare(value v1, value v2); static long bigarray_hash(value v); static void bigarray_serialize(value, unsigned long *, unsigned long *); unsigned long bigarray_deserialize(void * dst); static struct custom_operations bigarray_ops = { "_bigarray", bigarray_finalize, bigarray_compare, bigarray_hash, bigarray_serialize, bigarray_deserialize }; /* Allocation of a big array */ #define MAX_BIGARRAY_MEMORY 128*1024*1024 /* 128 Mb -- after allocating that much, it's probably worth speeding up the major GC */ value alloc_bigarray(int flags, int num_dims, void * data, long * dim) { long num_elts, size; int i; value res; struct caml_bigarray * b; Assert(num_dims >= 1 && num_dims <= MAX_NUM_DIMS); Assert((flags & BIGARRAY_KIND_MASK) <= BIGARRAY_NATIVE_INT); size = 0; if (data == NULL) { num_elts = 1; for (i = 0; i < num_dims; i++) num_elts = num_elts * dim[i]; size = num_elts * bigarray_element_size[flags & BIGARRAY_KIND_MASK]; data = stat_alloc(size); flags |= BIGARRAY_MANAGED; } res = alloc_custom(&bigarray_ops, sizeof(struct caml_bigarray) + (num_dims - 1) * sizeof(long), size, MAX_BIGARRAY_MEMORY); b = Bigarray_val(res); b->data = data; b->num_dims = num_dims; b->flags = flags; b->proxy = NULL; for (i = 0; i < num_dims; i++) b->dim[i] = dim[i]; return res; } /* Same as alloc_bigarray, but dimensions are passed as a list of arguments */ value alloc_bigarray_dims(int flags, int num_dims, void * data, ...) { va_list ap; long dim[MAX_NUM_DIMS]; int i; value res; va_start(ap, data); for (i = 0; i < num_dims; i++) dim[i] = va_arg(ap, long); va_end(ap); res = alloc_bigarray(flags, num_dims, data, dim); return res; } /* Allocate a bigarray from Caml */ CAMLprim value bigarray_create(value vkind, value vlayout, value vdim) { long dim[MAX_NUM_DIMS]; mlsize_t num_dims; int i, flags; num_dims = Wosize_val(vdim); if (num_dims < 1 || num_dims > MAX_NUM_DIMS) invalid_argument("Bigarray.create: bad number of dimensions"); for (i = 0; i < num_dims; i++) { dim[i] = Long_val(Field(vdim, i)); if (dim[i] < 0 || dim[i] > 0x7FFFFFFFL) invalid_argument("Bigarray.create: negative dimension"); } flags = Int_val(vkind) | Int_val(vlayout); return alloc_bigarray(flags, num_dims, NULL, dim); } /* Given a big array and a vector of indices, check that the indices are within the bounds and return the offset of the corresponding array element in the data part of the array. */ static long bigarray_offset(struct caml_bigarray * b, long * index) { long offset; int i; offset = 0; if ((b->flags & BIGARRAY_LAYOUT_MASK) == BIGARRAY_C_LAYOUT) { /* C-style layout: row major, indices start at 0 */ for (i = 0; i < b->num_dims; i++) { if ((unsigned long) index[i] >= (unsigned long) b->dim[i]) invalid_argument("Bigarray: out-of-bound access"); offset = offset * b->dim[i] + index[i]; } } else { /* Fortran-style layout: column major, indices start at 1 */ for (i = b->num_dims - 1; i >= 0; i--) { if ((unsigned long) (index[i] - 1) >= (unsigned long) b->dim[i]) invalid_argument("Bigarray: out-of-bound access"); offset = offset * b->dim[i] + (index[i] - 1); } } return offset; } /* Generic code to read from a big array */ value bigarray_get_N(value vb, value * vind, int nind) { struct caml_bigarray * b = Bigarray_val(vb); long index[MAX_NUM_DIMS]; int i; long offset; /* Check number of indices = number of dimensions of array (maybe not necessary if ML typing guarantees this) */ if (nind != b->num_dims) invalid_argument("Bigarray.get: wrong number of indices"); /* Compute offset and check bounds */ for (i = 0; i < b->num_dims; i++) index[i] = Long_val(vind[i]); offset = bigarray_offset(b, index); /* Perform read */ switch ((b->flags) & BIGARRAY_KIND_MASK) { case BIGARRAY_FLOAT32: return copy_double(((float *) b->data)[offset]); case BIGARRAY_FLOAT64: return copy_double(((double *) b->data)[offset]); case BIGARRAY_SINT8: return Val_int(((schar *) b->data)[offset]); case BIGARRAY_UINT8: return Val_int(((unsigned char *) b->data)[offset]); case BIGARRAY_SINT16: return Val_int(((int16 *) b->data)[offset]); case BIGARRAY_UINT16: return Val_int(((uint16 *) b->data)[offset]); case BIGARRAY_INT32: return copy_int32(((int32 *) b->data)[offset]); case BIGARRAY_INT64: return copy_int64(((int64 *) b->data)[offset]); case BIGARRAY_NATIVE_INT: return copy_nativeint(((long *) b->data)[offset]); default: Assert(0); case BIGARRAY_CAML_INT: return Val_long(((long *) b->data)[offset]); } } CAMLprim value bigarray_get_1(value vb, value vind1) { return bigarray_get_N(vb, &vind1, 1); } CAMLprim value bigarray_get_2(value vb, value vind1, value vind2) { value vind[2]; vind[0] = vind1; vind[1] = vind2; return bigarray_get_N(vb, vind, 2); } CAMLprim value bigarray_get_3(value vb, value vind1, value vind2, value vind3) { value vind[3]; vind[0] = vind1; vind[1] = vind2; vind[2] = vind3; return bigarray_get_N(vb, vind, 3); } #if 0 CAMLprim value bigarray_get_4(value vb, value vind1, value vind2, value vind3, value vind4) { value vind[4]; vind[0] = vind1; vind[1] = vind2; vind[2] = vind3; vind[3] = vind4; return bigarray_get_N(vb, vind, 4); } CAMLprim value bigarray_get_5(value vb, value vind1, value vind2, value vind3, value vind4, value vind5) { value vind[5]; vind[0] = vind1; vind[1] = vind2; vind[2] = vind3; vind[3] = vind4; vind[4] = vind5; return bigarray_get_N(vb, vind, 5); } CAMLprim value bigarray_get_6(value vb, value vind1, value vind2, value vind3, value vind4, value vind5, value vind6) { value vind[6]; vind[0] = vind1; vind[1] = vind2; vind[2] = vind3; vind[3] = vind4; vind[4] = vind5; vind[5] = vind6; return bigarray_get_N(vb, vind, 6); } #endif CAMLprim value bigarray_get_generic(value vb, value vind) { return bigarray_get_N(vb, &Field(vind, 0), Wosize_val(vind)); } /* Generic write to a big array */ static value bigarray_set_aux(value vb, value * vind, long nind, value newval) { struct caml_bigarray * b = Bigarray_val(vb); long index[MAX_NUM_DIMS]; int i; long offset; /* Check number of indices = number of dimensions of array (maybe not necessary if ML typing guarantees this) */ if (nind != b->num_dims) invalid_argument("Bigarray.set: wrong number of indices"); /* Compute offset and check bounds */ for (i = 0; i < b->num_dims; i++) index[i] = Long_val(vind[i]); offset = bigarray_offset(b, index); /* Perform write */ switch (b->flags & BIGARRAY_KIND_MASK) { case BIGARRAY_FLOAT32: ((float *) b->data)[offset] = Double_val(newval); break; case BIGARRAY_FLOAT64: ((double *) b->data)[offset] = Double_val(newval); break; case BIGARRAY_SINT8: case BIGARRAY_UINT8: ((schar *) b->data)[offset] = Int_val(newval); break; case BIGARRAY_SINT16: case BIGARRAY_UINT16: ((int16 *) b->data)[offset] = Int_val(newval); break; case BIGARRAY_INT32: ((int32 *) b->data)[offset] = Int32_val(newval); break; case BIGARRAY_INT64: ((int64 *) b->data)[offset] = Int64_val(newval); break; case BIGARRAY_NATIVE_INT: ((long *) b->data)[offset] = Nativeint_val(newval); break; default: Assert(0); case BIGARRAY_CAML_INT: ((long *) b->data)[offset] = Long_val(newval); break; } return Val_unit; } CAMLprim value bigarray_set_1(value vb, value vind1, value newval) { return bigarray_set_aux(vb, &vind1, 1, newval); } CAMLprim value bigarray_set_2(value vb, value vind1, value vind2, value newval) { value vind[2]; vind[0] = vind1; vind[1] = vind2; return bigarray_set_aux(vb, vind, 2, newval); } CAMLprim value bigarray_set_3(value vb, value vind1, value vind2, value vind3, value newval) { value vind[3]; vind[0] = vind1; vind[1] = vind2; vind[2] = vind3; return bigarray_set_aux(vb, vind, 3, newval); } #if 0 CAMLprim value bigarray_set_4(value vb, value vind1, value vind2, value vind3, value vind4, value newval) { value vind[4]; vind[0] = vind1; vind[1] = vind2; vind[2] = vind3; vind[3] = vind4; return bigarray_set_aux(vb, vind, 4, newval); } CAMLprim value bigarray_set_5(value vb, value vind1, value vind2, value vind3, value vind4, value vind5, value newval) { value vind[5]; vind[0] = vind1; vind[1] = vind2; vind[2] = vind3; vind[3] = vind4; vind[4] = vind5; return bigarray_set_aux(vb, vind, 5, newval); } CAMLprim value bigarray_set_6(value vb, value vind1, value vind2, value vind3, value vind4, value vind5, value vind6, value newval) { value vind[6]; vind[0] = vind1; vind[1] = vind2; vind[2] = vind3; vind[3] = vind4; vind[4] = vind5; vind[5] = vind6; return bigarray_set_aux(vb, vind, 6, newval); } value bigarray_set_N(value vb, value * vind, int nargs) { return bigarray_set_aux(vb, vind, nargs - 1, vind[nargs - 1]); } #endif CAMLprim value bigarray_set_generic(value vb, value vind, value newval) { return bigarray_set_aux(vb, &Field(vind, 0), Wosize_val(vind), newval); } /* Return the number of dimensions of a big array */ CAMLprim value bigarray_num_dims(value vb) { struct caml_bigarray * b = Bigarray_val(vb); return Val_long(b->num_dims); } /* Return the n-th dimension of a big array */ CAMLprim value bigarray_dim(value vb, value vn) { struct caml_bigarray * b = Bigarray_val(vb); long n = Long_val(vn); if (n >= b->num_dims) invalid_argument("Bigarray.dim"); return Val_long(b->dim[n]); } /* 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_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; \ } switch (b1->flags & BIGARRAY_KIND_MASK) { case BIGARRAY_FLOAT32: DO_COMPARISON(float); case BIGARRAY_FLOAT64: DO_COMPARISON(double); case BIGARRAY_SINT8: DO_COMPARISON(schar); case BIGARRAY_UINT8: DO_COMPARISON(unsigned char); case BIGARRAY_SINT16: DO_COMPARISON(int16); case BIGARRAY_UINT16: DO_COMPARISON(uint16); case BIGARRAY_INT32: DO_COMPARISON(int32); case BIGARRAY_INT64: #ifdef ARCH_INT64_TYPE DO_COMPARISON(int64); #else invalid_argument("Bigarray.compare: 64-bit int arrays not supported"); #endif case BIGARRAY_CAML_INT: case BIGARRAY_NATIVE_INT: DO_COMPARISON(long); default: Assert(0); return 0; /* should not happen */ } #undef DO_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_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_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); 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_FLOAT64: case BIGARRAY_INT64: serialize_block_8(b->data, num_elts); 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(); 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_NATIVE_INT) 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_FLOAT64: case BIGARRAY_INT64: deserialize_block_8(b->data, num_elts); 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) { struct caml_bigarray * b = Bigarray_val(vb); long index[MAX_NUM_DIMS]; int num_inds, i; long offset; long * sub_dims; char * sub_data; value res; /* 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 */ return res; } /* Extracting a sub-array of same number of dimensions */ CAMLprim value bigarray_sub(value vb, value vofs, value vlen) { struct caml_bigarray * b = Bigarray_val(vb); long ofs = Long_val(vofs); long len = Long_val(vlen); int i, changed_dim; long mul; char * sub_data; value res; /* 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 */ return res; } /* 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) { 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; } default: Assert(0); case BIGARRAY_CAML_INT: { long init = Long_val(vinit); long * p; for (p = b->data; num_elts > 0; p++, num_elts--) *p = init; break; } } return Val_unit; } /* Reshape an array: change dimensions and number of dimensions, preserving array contents */ CAMLprim value bigarray_reshape(value vb, value vdim) { struct caml_bigarray * b = Bigarray_val(vb); long dim[MAX_NUM_DIMS]; mlsize_t num_dims; unsigned long num_elts; int i; value res; 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 */ return res; } /* Initialization */ CAMLprim value bigarray_init(value unit) { register_custom_operations(&bigarray_ops); return Val_unit; }