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* @license Apache-2.0
*
* Copyright (c) 2024 The Stdlib Authors.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
'use strict';
// MODULES //
var iterationOrder = require( '@stdlib/ndarray/base/iteration-order' );
var ndarray2object = require( '@stdlib/ndarray/base/ndarraylike2object' );
var blockedaccessormap2d = require( './2d_blocked_accessors.js' );
var blockedaccessormap3d = require( './3d_blocked_accessors.js' );
var blockedaccessormap4d = require( './4d_blocked_accessors.js' );
var blockedaccessormap5d = require( './5d_blocked_accessors.js' );
var blockedaccessormap6d = require( './6d_blocked_accessors.js' );
var blockedaccessormap7d = require( './7d_blocked_accessors.js' );
var blockedaccessormap8d = require( './8d_blocked_accessors.js' );
var blockedaccessormap9d = require( './9d_blocked_accessors.js' );
var blockedaccessormap10d = require( './10d_blocked_accessors.js' );
var blockedmap2d = require( './2d_blocked.js' );
var blockedmap3d = require( './3d_blocked.js' );
var blockedmap4d = require( './4d_blocked.js' );
var blockedmap5d = require( './5d_blocked.js' );
var blockedmap6d = require( './6d_blocked.js' );
var blockedmap7d = require( './7d_blocked.js' );
var blockedmap8d = require( './8d_blocked.js' );
var blockedmap9d = require( './9d_blocked.js' );
var blockedmap10d = require( './10d_blocked.js' );
var accessormap0d = require( './0d_accessors.js' );
var accessormap1d = require( './1d_accessors.js' );
var accessormap2d = require( './2d_accessors.js' );
var accessormap3d = require( './3d_accessors.js' );
var accessormap4d = require( './4d_accessors.js' );
var accessormap5d = require( './5d_accessors.js' );
var accessormap6d = require( './6d_accessors.js' );
var accessormap7d = require( './7d_accessors.js' );
var accessormap8d = require( './8d_accessors.js' );
var accessormap9d = require( './9d_accessors.js' );
var accessormap10d = require( './10d_accessors.js' );
var accessormapnd = require( './nd_accessors.js' );
var map0d = require( './0d.js' );
var map1d = require( './1d.js' );
var map2d = require( './2d.js' );
var map3d = require( './3d.js' );
var map4d = require( './4d.js' );
var map5d = require( './5d.js' );
var map6d = require( './6d.js' );
var map7d = require( './7d.js' );
var map8d = require( './8d.js' );
var map9d = require( './9d.js' );
var map10d = require( './10d.js' );
var mapnd = require( './nd.js' );
// VARIABLES //
var MAP = [
map0d,
map1d,
map2d,
map3d,
map4d,
map5d,
map6d,
map7d,
map8d,
map9d,
map10d
];
var ACCESSOR_MAP = [
accessormap0d,
accessormap1d,
accessormap2d,
accessormap3d,
accessormap4d,
accessormap5d,
accessormap6d,
accessormap7d,
accessormap8d,
accessormap9d,
accessormap10d
];
var BLOCKED_MAP = [
blockedmap2d, // 0
blockedmap3d,
blockedmap4d,
blockedmap5d,
blockedmap6d,
blockedmap7d,
blockedmap8d,
blockedmap9d,
blockedmap10d // 8
];
var BLOCKED_ACCESSOR_MAP = [
blockedaccessormap2d, // 0
blockedaccessormap3d,
blockedaccessormap4d,
blockedaccessormap5d,
blockedaccessormap6d,
blockedaccessormap7d,
blockedaccessormap8d,
blockedaccessormap9d,
blockedaccessormap10d // 8
];
var MAX_DIMS = MAP.length -1;
// MAIN //
/**
* Applies a callback function to the elements in an input ndarray and assigns results to the elements in an output ndarray.
*
* ## Notes
*
* - Each provided ndarray should be an `object` with the following properties:
*
* - **dtype**: data type.
* - **data**: data buffer.
* - **shape**: dimensions.
* - **strides**: stride lengths.
* - **offset**: index offset.
* - **order**: specifies whether an ndarray is row-major (C-style) or column major (Fortran-style).
*
* @param {ArrayLikeObject<Object>} arrays - array-like object containing one input array and one output array
* @param {Callback} fcn - callback function
* @param {*} [thisArg] - callback execution context
* @throws {Error} arrays must have the same number of dimensions
* @throws {Error} arrays must have the same shape
* @returns {void}
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
*
* function scale( z ) {
* return z * 10.0;
* }
*
* // Create data buffers:
* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
* var ybuf = new Float64Array( 6 );
*
* // Define the shape of the input and output arrays:
* var shape = [ 3, 1, 2 ];
*
* // Define the array strides:
* var sx = [ 4, 4, 1 ];
* var sy = [ 2, 2, 1 ];
*
* // Define the index offsets:
* var ox = 1;
* var oy = 0;
*
* // Create the input and output ndarray-like objects:
* var x = {
* 'dtype': 'float64',
* 'data': xbuf,
* 'shape': shape,
* 'strides': sx,
* 'offset': ox,
* 'order': 'row-major'
* };
* var y = {
* 'dtype': 'float64',
* 'data': ybuf,
* 'shape': shape,
* 'strides': sy,
* 'offset': oy,
* 'order': 'row-major'
* };
*
* // Apply the map function:
* map( [ x, y ], scale );
*
* console.log( y.data );
* // => <Float64Array>[ 20.0, 30.0, 60.0, 70.0, 100.0, 110.0 ]
*/
function map( arrays, fcn, thisArg ) {
var ndims;
var shx;
var shy;
var iox;
var ioy;
var len;
var x;
var y;
var i;
var d;
// Unpack the ndarrays and standardize ndarray meta data:
x = ndarray2object( arrays[ 0 ] );
y = ndarray2object( arrays[ 1 ] );
// Verify that the input and output arrays have the same number of dimensions...
shx = x.shape;
shy = y.shape;
ndims = shx.length;
if ( ndims !== shy.length ) {
throw new Error( 'invalid arguments. Arrays must have the same number of dimensions (i.e., same rank). ndims(x) == '+ndims+'. ndims(y) == '+shy.length+'.' );
}
// Determine whether we can avoid iteration altogether...
if ( ndims === 0 ) {
if ( x.accessorProtocol || y.accessorProtocol ) {
return ACCESSOR_MAP[ ndims ]( x, y, fcn, thisArg );
}
return MAP[ ndims ]( x, y, fcn, thisArg );
}
// Verify that the input and output arrays have the same dimensions...
len = 1; // number of elements
for ( i = 0; i < ndims; i++ ) {
d = shx[ i ];
if ( d !== shy[ i ] ) {
throw new Error( 'invalid arguments. Array must have the same shape.' );
}
// Note that, if one of the dimensions is `0`, the length will be `0`...
len *= d;
}
// Check whether we were provided empty ndarrays...
if ( len === 0 ) {
return;
}
// Determine whether the ndarrays are one-dimensional and thus readily translate to one-dimensional strided arrays...
if ( ndims === 1 ) {
if ( x.accessorProtocol || y.accessorProtocol ) {
return ACCESSOR_MAP[ ndims ]( x, y, fcn, thisArg );
}
return MAP[ ndims ]( x, y, fcn, thisArg );
}
// Determine iteration order:
iox = iterationOrder( x.strides ); // +/-1
ioy = iterationOrder( y.strides ); // +/-1
// Determine whether we can avoid blocked iteration...
if ( iox !== 0 && ioy !== 0 && iox === ioy ) {
// Determine whether we can use simple nested loops...
if ( ndims <= MAX_DIMS ) {
// So long as iteration for each respective array always moves in the same direction (i.e., no mixed sign strides), we can leverage cache-optimal (i.e., normal) nested loops without resorting to blocked iteration...
if ( x.accessorProtocol || y.accessorProtocol ) {
return ACCESSOR_MAP[ ndims ]( x, y, fcn, thisArg );
}
return MAP[ ndims ]( x, y, fcn, thisArg );
}
// Fall-through to blocked iteration...
}
// Determine whether we can perform blocked iteration...
if ( ndims <= MAX_DIMS ) {
if ( x.accessorProtocol || y.accessorProtocol ) {
return BLOCKED_ACCESSOR_MAP[ ndims-2 ]( x, y, fcn, thisArg );
}
return BLOCKED_MAP[ ndims-2 ]( x, y, fcn, thisArg );
}
// Fall-through to linear view iteration without regard for how data is stored in memory (i.e., take the slow path)...
if ( x.accessorProtocol || y.accessorProtocol ) {
return accessormapnd( x, y, fcn, thisArg );
}
mapnd( x, y, fcn, thisArg );
}
// EXPORTS //
module.exports = map;
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