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bigarray.js
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544 lines (469 loc) · 15.4 KB
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// Bigarray.
//
// - all bigarray types including Int64 and Complex.
// - fortran + c layouts
// - sub/slice/reshape
// - retain fast path for 1d array access
//
// Note; int64+complex support if provided by allocating a second TypedArray
// Note; accessor functions are selected when the bigarray is created. It is assumed
// that this results in just a function pointer and will thus be fast.
function caml_ba_get_size(dims) {
var n_dims = dims.length;
var size = 1;
for (var i = 0; i < n_dims; i++) {
if (dims[i] < 0)
caml_invalid_argument("Bigarray.create: negative dimension");
size = size * dims[i];
}
return size;
}
function caml_ba_create_from(data, data2, data_type, kind, layout, dims) {
var n_dims = dims.length;
var size = caml_ba_get_size(dims);
//
// Functions to compute the offsets for C or Fortran layout arrays
// from the given array of indices.
//
function offset_c(index) {
var ofs = 0;
if (n_dims != index.length)
caml_invalid_argument("Bigarray.get/set: bad number of dimensions");
for (var i = 0; i < n_dims; i++) {
if (index[i] < 0 || index[i] >= dims[i])
caml_array_bound_error();
ofs = (ofs * dims[i]) + index[i];
}
return ofs;
}
function offset_fortran(index) {
var ofs = 0;
if (n_dims != index.length)
caml_invalid_argument("Bigarray.get/set: wrong number of indices");
for (var i = n_dims - 1; i >= 0; i--) {
if (index[i] < 1 || index[i] > dims[i])
caml_array_bound_error();
ofs = (ofs * dims[i]) + (index[i] - 1);
}
return ofs;
}
var offset = layout == 0 ? offset_c : offset_fortran;
var dim0 = dims[0];
//
// Element get functions.
//
function get_std(index) {
var ofs = offset(index);
var v = data[ofs];
return v;
}
function get_int64(index) {
var off = offset(index);
var l = data[off];
var h = data2[off];
return [
255,
l & 0xffffff,
((l >>> 24) & 0xff) | ((h & 0xffff) << 8),
(h >>> 16) & 0xffff];
}
function get_complex(index) {
var off = offset(index);
var r = data[off];
var i = data2[off];
return [254, r, i];
}
var get = data_type == 1 /* Int64 */ ? get_int64 : (data_type == 2 /* Complex */ ? get_complex : get_std);
function get1_c(i) {
if (i < 0 || i >= dim0)
caml_array_bound_error();
return data[i];
}
function get1_fortran(i) {
if (i < 1 || i > dim0)
caml_array_bound_error();
return data[i - 1];
}
function get1_any(i) {
return get([i]);
}
var get1 = data_type == 0 /* General */ ? (layout == 0 ? get1_c : get1_fortran) : get1_any;
//
// Element set functions
//
function set_std_raw(off, v) {
data[off] = v;
}
function set_int64_raw(off, v) {
data[off] = v[1] | ((v[2] & 0xff) << 24);
data2[off] = ((v[2] >>> 8) & 0xffff) | (v[3] << 16);
}
function set_complex_raw(off, v) {
data[off] = v[1];
data2[off] = v[2];
}
function set_std(index, v) {
var ofs = offset(index);
return set_std_raw(ofs, v);
}
function set_int64(index, v) {
return set_int64_raw(offset(index), v);
}
function set_complex(index, v) {
return set_complex_raw(offset(index), v);
}
var set = data_type == 1 /* Int64 */ ? set_int64 : (data_type == 2 /* Complex */ ? set_complex : set_std);
function set1_c(i, v) {
if (i < 0 || i >= dim0)
caml_array_bound_error();
data[i] = v;
}
function set1_fortran(i, v) {
if (i < 1 || i > dim0)
caml_array_bound_error();
data[i - 1] = v;
}
function set1_any(i, v) {
set([i], v);
}
var set1 = data_type == 0 /* General */ ? (layout == 0 ? set1_c : set1_fortran) : set1_any;
//
// other
//
function nth_dim(i) {
if (i < 0 || i >= n_dims)
caml_invalid_argument("Bigarray.dim");
return dims[i];
}
function fill(v) {
if (data_type == 0 /* General */)
for (var i = 0; i < data.length; i++)
set_std_raw(i, v);
if (data_type == 1 /* Int64 */)
for (var i = 0; i < data.length; i++)
set_int64_raw(i, v);
if (data_type == 2 /* Complex */)
for (var i = 0; i < data.length; i++)
set_complex_raw(i, v);
}
function blit(from) {
if (n_dims != from.num_dims)
caml_invalid_argument("Bigarray.blit: dimension mismatch");
for (var i = 0; i < n_dims; i++)
if (dims[i] != from.nth_dim(i))
caml_invalid_argument("Bigarray.blit: dimension mismatch");
data.set(from.data);
if (data_type != 0 /* General */)
data2.set(from.data2);
}
function sub(ofs, len) {
var changed_dim;
var mul = 1;
if (layout == 0) {
for (var i = 1; i < n_dims; i++)
mul = mul * dims[i];
changed_dim = 0;
} else {
for (var i = 0; i < (n_dims - 1); i++)
mul = mul * dims[i];
changed_dim = n_dims - 1;
ofs = ofs - 1;
}
if (ofs < 0 || len < 0 || (ofs + len) > dims[changed_dim])
caml_invalid_argument("Bigarray.sub: bad sub-array");
var new_data = data.subarray(ofs * mul, (ofs + len) * mul);
var new_data2 = data_type == 0 /* General */ ? null : data2.subarray(ofs * mul, (ofs + len) * mul);
var new_dims = [];
for (var i = 0; i < n_dims; i++)
new_dims[i] = dims[i];
new_dims[changed_dim] = len;
return caml_ba_create_from(new_data, new_data2, data_type, kind, layout, new_dims);
}
function slice(vind) {
var num_inds = vind.length;
var index = [];
var sub_dims = [];
var ofs;
if (num_inds >= n_dims)
caml_invalid_argument("Bigarray.slice: too many indices");
// Compute offset and check bounds
if (layout == 0) {
for (var i = 0; i < num_inds; i++)
index[i] = vind[i];
for (; i < n_dims; i++)
index[i] = 0;
ofs = offset(index);
sub_dims = dims.slice(num_inds);
} else {
for (var i = 0; i < num_inds; i++)
index[n_dims - num_inds + i] = vind[i];
for (var i = 0; i < n_dims - num_inds; i++)
index[i] = 1;
ofs = offset(index);
sub_dims = dims.slice(0, num_inds);
}
var size = caml_ba_get_size(sub_dims);
var new_data = data.subarray(ofs, ofs + size);
var new_data2 = data_type == 0 /* General */ ? null : data2.subarray(ofs, ofs + size);
return caml_ba_create_from(new_data, new_data2, data_type, kind, layout, sub_dims);
}
function reshape(vdim) {
var new_dim = [];
var num_dims = vdim.length;
if (num_dims < 1)
caml_invalid_argument("Bigarray.reshape: bad number of dimensions");
var num_elts = 1;
for (var i = 0; i < num_dims; i++) {
new_dim[i] = vdim[i];
if (new_dim[i] < 0)
caml_invalid_argument("Bigarray.reshape: negative dimension");
num_elts = num_elts * new_dim[i];
}
// Check that sizes agree
if (num_elts != size)
caml_invalid_argument("Bigarray.reshape: size mismatch");
return caml_ba_create_from(data, data2, data_type, kind, layout, new_dim);
}
function compare(b, total) {
if (layout != b.layout)
return b.layout - layout;
if (n_dims != b.num_dims)
return b.num_dims - n_dims;
for (var i = 0; i < n_dims; i++)
if (nth_dim(i) != b.nth_dim(i))
return (nth_dim(i) < b.nth_dim(i)) ? -1 : 1;
switch (kind) {
case 0:
case 1:
case 10:
case 11:
var x, y;
for (var i = 0; i < data.length; i++) {
x = data[i];
y = b.data[i];
//first array
if (x < y)
return -1;
if (x > y)
return 1;
if (x != y) {
if (x != y) {
if (!total)
return NaN;
if (x == x)
return 1;
if (y == y)
return -1;
}
}
if (data2) {
//second array
x = data2[i];
y = b.data2[i];
if (x < y)
return -1;
if (x > y)
return 1;
if (x != y) {
if (x != y) {
if (!total)
return NaN;
if (x == x)
return 1;
if (y == y)
return -1;
}
}
}
}
;
break;
case 2:
case 3:
case 4:
case 5:
case 6:
case 8:
case 9:
case 12:
for (var i = 0; i < data.length; i++) {
if (data[i] < b.data[i])
return -1;
if (data[i] > b.data[i])
return 1;
}
;
break;
case 7:
for (var i = 0; i < data.length; i++) {
if (data2[i] < b.data2[i])
return -1;
if (data2[i] > b.data2[i])
return 1;
if (data[i] < b.data[i])
return -1;
if (data[i] > b.data[i])
return 1;
}
;
break;
}
return 0;
}
return {
data: data,
data2: data2,
data_type: data_type,
num_dims: n_dims,
nth_dim: nth_dim,
kind: kind,
layout: layout,
size: size,
sub: sub,
slice: slice,
blit: blit,
fill: fill,
reshape: reshape,
get: get,
get1: get1,
set: set,
set1: set1,
compare: compare
};
}
// ('a, 'b) kind -> 'c layout -> int array -> ('a, 'b, 'c) t
function caml_ba_create(kind, layout, dims) {
//var n_dims = dims.length;
var size = caml_ba_get_size(dims);
var caml_ba_views = [
[
Float32Array, Float64Array, Int8Array, Uint8Array,
Int16Array, Uint16Array, Int32Array, Int32Array,
Int32Array, Int32Array, Float32Array, Float64Array, Uint8Array],
[
0 /* General */, 0 /* General */, 0 /* General */, 0 /* General */,
0 /* General */, 0 /* General */, 0 /* General */, 1 /* Int64 */,
0 /* General */, 0 /* General */, 2 /* Complex */, 2 /* Complex */, 0 /* General */]
];
// Allocate TypedArray
var view = caml_ba_views[0][kind];
if (!view)
caml_invalid_argument("Bigarray.create: unsupported kind");
var data = new view(size);
// 2nd TypedArray for int64, complex32 and complex64
var data_type = caml_ba_views[1][kind];
var data2 = null;
if (data_type != 0 /* General */) {
data2 = new view(size);
}
return caml_ba_create_from(data, data2, data_type, kind, layout, dims);
}
// "%caml_ba_ref_1",
// Pbigarrayref(false, 1, Pbigarray_unknown, Pbigarray_unknown_layout);
// "%caml_ba_ref_2",
// Pbigarrayref(false, 2, Pbigarray_unknown, Pbigarray_unknown_layout);
// "%caml_ba_ref_3",
// Pbigarrayref(false, 3, Pbigarray_unknown, Pbigarray_unknown_layout);
// "%caml_ba_set_1",
// Pbigarrayset(false, 1, Pbigarray_unknown, Pbigarray_unknown_layout);
// "%caml_ba_set_2",
// Pbigarrayset(false, 2, Pbigarray_unknown, Pbigarray_unknown_layout);
// "%caml_ba_set_3",
// Pbigarrayset(false, 3, Pbigarray_unknown, Pbigarray_unknown_layout);
// "%caml_ba_unsafe_ref_1",
// Pbigarrayref(true, 1, Pbigarray_unknown, Pbigarray_unknown_layout);
// "%caml_ba_unsafe_ref_2",
// Pbigarrayref(true, 2, Pbigarray_unknown, Pbigarray_unknown_layout);
// "%caml_ba_unsafe_ref_3",
// Pbigarrayref(true, 3, Pbigarray_unknown, Pbigarray_unknown_layout);
// "%caml_ba_unsafe_set_1",
// Pbigarrayset(true, 1, Pbigarray_unknown, Pbigarray_unknown_layout);
// "%caml_ba_unsafe_set_2",
// Pbigarrayset(true, 2, Pbigarray_unknown, Pbigarray_unknown_layout);
// "%caml_ba_unsafe_set_3",
// Pbigarrayset(true, 3, Pbigarray_unknown, Pbigarray_unknown_layout);
// "%caml_ba_dim_1", Pbigarraydim(1);
// "%caml_ba_dim_2", Pbigarraydim(2);
// "%caml_ba_dim_3", Pbigarraydim(3);
// ('a, 'b, 'c) t -> ('a, 'b) kind
function caml_ba_kind(ba) {
return ba.kind;
}
// ('a, 'b, 'c) t -> 'c layout
function caml_ba_layout(ba) {
return ba.layout;
}
// ('a, 'b, 'c) t -> int
function caml_ba_num_dims(ba, _dim) {
return ba.num_dims;
}
// ('a, 'b, 'c) t -> int -> int
function caml_ba_dim(ba, dim) {
return ba.nth_dim(dim);
}
// ('a, 'b, 'c) t -> int
function caml_ba_dim_1(ba) {
return ba.nth_dim(0);
}
// ('a, 'b, 'c) t -> int
function caml_ba_dim_2(ba) {
return ba.nth_dim(1);
}
// ('a, 'b, 'c) t -> int
function caml_ba_dim_3(ba) {
return ba.nth_dim(2);
}
// ('a, 'b, 'c) t -> int array -> 'a
function caml_ba_get_generic(ba, index) {
return ba.get(index);
}
// ('a, 'b, 'c) t -> int -> int -> 'a
function caml_ba_get_1(ba, i0) {
return ba.get1(i0);
}
// ('a, 'b, 'c) t -> int -> int -> 'a
function caml_ba_get_2(ba, i0, i1) {
return ba.get([i0, i1]);
}
// ('a, 'b, 'c) t -> int -> int -> int -> 'a
function caml_ba_get_3(ba, i0, i1, i2) {
return ba.get([i0, i1, i2]);
}
// ('a, 'b, 'c) t -> int array -> 'a -> unit
function caml_ba_set_generic(ba, index, v) {
return ba.set(index, v);
}
// ('a, 'b, 'c) t -> int -> 'a -> unit
function caml_ba_set_1(ba, i0, v) {
return ba.set1(i0, v);
}
// ('a, 'b, 'c) t -> int -> int -> 'a -> unit
function caml_ba_set_2(ba, i0, i1, v) {
return ba.set([i0, i1], v);
}
// ('a, 'b, 'c) t -> int -> int -> int -> 'a -> unit
function caml_ba_set_3(ba, i0, i1, i2, v) {
return ba.set([i0, i1, i2], v);
}
// ('a, 'b, 'c) t -> ('a, 'b, 'c) t -> unit
function caml_ba_blit(src, dst) {
dst.blit(src);
return 0;
}
// ('a, 'b, 'c) t -> 'a -> unit
function caml_ba_fill(ba, init) {
ba.fill(init);
return 0;
}
// ('a, 'b, c_layout) t -> int -> int -> ('a, 'b, c_layout) t
function caml_ba_sub(ba, ofs, len) {
return ba.sub(ofs, len);
}
// ('a, 'b, c_layout) t -> int array -> ('a, 'b, c_layout) t
function caml_ba_slice(ba, vind) {
return ba.slice(vind);
}
// ('a, 'b, 'c) Genarray.t -> int array -> ('a, 'b, 'c) Genarray.t
function caml_ba_reshape(ba, vind) {
return ba.reshape(vind);
}