@stdlib/utils
Version:
Standard utilities.
154 lines (132 loc) • 4.12 kB
JavaScript
/**
* @license Apache-2.0
*
* Copyright (c) 2021 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.
*/
;
// MODULES //
var vind2bind = require( '@stdlib/ndarray/base/vind2bind' );
// VARIABLES //
var MODE = 'throw';
// MAIN //
/**
* Applies a function against an accumulator and each element in an array and returns the accumulated result.
*
* @private
* @param {Object} x - object containing input ndarray meta data
* @param {string} x.ref - reference to original input ndarray-like object
* @param {string} x.dtype - data type
* @param {Collection} x.data - data buffer
* @param {NonNegativeInteger} x.length - number of elements
* @param {NonNegativeIntegerArray} x.shape - dimensions
* @param {IntegerArray} x.strides - stride lengths
* @param {NonNegativeInteger} x.offset - index offset
* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
* @param {Array<Function>} x.accessors - accessors for accessing data buffer elements
* @param {*} initial - initial value
* @param {Function} fcn - function to apply
* @param {*} thisArg - function execution context
* @returns {*} accumulated result
*
* @example
* var Complex64Array = require( '@stdlib/array/complex64' );
* var Complex64 = require( '@stdlib/complex/float32/ctor' );
* var realf = require( '@stdlib/complex/float32/real' );
* var imagf = require( '@stdlib/complex/float32/imag' );
* var cadd = require( '@stdlib/complex/float64/base/add' );
* var naryFunction = require( '@stdlib/utils/nary-function' );
*
* // Create a data buffer:
* var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
*
* // Define the shape of the input array:
* var shape = [ 2, 2 ];
*
* // Define the array strides:
* var sx = [ 2, 1 ];
*
* // Define the index offset:
* var ox = 0;
*
* // Define a getter:
* function getter( buf, idx ) {
* return buf.get( idx );
* }
*
* // Create the input ndarray-like object:
* var x = {
* 'ref': null,
* 'dtype': 'complex64',
* 'data': xbuf,
* 'length': 4,
* 'shape': shape,
* 'strides': sx,
* 'offset': ox,
* 'order': 'row-major',
* 'accessors': [ getter ]
* };
* x.ref = x;
*
* // Compute the sum:
* var v = reduce( x, new Complex64( 0.0, 0.0 ), naryFunction( cadd, 2 ) );
*
* var re = realf( v );
* // returns 16.0
*
* var im = imagf( v );
* // returns 20.0
*/
function reduce( x, initial, fcn, thisArg ) {
var xbuf;
var ordx;
var acc;
var len;
var get;
var ref;
var shx;
var sx;
var ox;
var ix;
var i;
// Cache the total number of elements over which to iterate:
len = x.length;
// Cache the input array shape:
shx = x.shape;
// Cache reference to the input ndarray data buffer:
xbuf = x.data;
// Cache reference to the stride array:
sx = x.strides;
// Cache the index of the first indexed element:
ox = x.offset;
// Cache the array order:
ordx = x.order;
// Cache the element accessor:
get = x.accessors[ 0 ];
// Cache the reference to the original input array:
ref = x.ref;
// Check for a zero-dimensional array...
if ( shx.length === 0 ) {
return fcn.call( thisArg, initial, get( xbuf, ox ), 0, ref );
}
// Iterate over each element based on the linear **view** index, regardless as to how the data is stored in memory (note: this has negative performance implications for non-contiguous ndarrays due to a lack of data locality)...
acc = initial;
for ( i = 0; i < len; i++ ) {
ix = vind2bind( shx, sx, ox, ordx, i, MODE );
acc = fcn.call( thisArg, acc, get( xbuf, ix ), i, ref );
}
return acc;
}
// EXPORTS //
module.exports = reduce;