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* @license Apache-2.0
*
* Copyright (c) 2025 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 floor = require( '@stdlib/math/base/special/floor' );
var numelDimension = require( '@stdlib/ndarray/base/numel-dimension' );
var getStride = require( '@stdlib/ndarray/base/stride' );
var getOffset = require( '@stdlib/ndarray/base/offset' );
var getData = require( '@stdlib/ndarray/base/data-buffer' );
// VARIABLES //
var M = 3;
// MAIN //
/**
* Reverses the elements of a one-dimensional single-precision floating-point ndarray.
*
* @param {ArrayLikeObject<Object>} arrays - array-like object containing one input ndarray
* @returns {void}
*
* @example
* var Float32Array = require( '@stdlib/array/float32' );
* var ndarray = require( '@stdlib/ndarray/base/ctor' );
*
* var xbuf = new Float32Array( [ 1.0, 2.0, 3.0 ] );
* var x = new ndarray( 'float32', xbuf, [ 3 ], [ 1 ], 0, 'row-major' );
*
* srev( [ x ] );
* // xbuf => <Float32Array>[ 3.0, 2.0, 1.0 ]
*/
function srev( arrays ) {
var strideX;
var offset;
var tmp;
var ix;
var iy;
var m;
var n;
var i;
var x;
var N;
var d;
x = arrays[ 0 ];
N = numelDimension( x, 0 );
if ( N <= 0 ) {
return;
}
d = getData( x );
strideX = getStride( x, 0 );
offset = getOffset( x );
n = floor( N/2 );
ix = offset;
// Use loop unrolling if the stride is equal to `1`...
if ( strideX === 1 ) {
m = n % M;
iy = ix + N - 1;
// If we have a remainder, run a clean-up loop...
if ( m > 0 ) {
for ( i = 0; i < m; i++ ) {
tmp = d[ ix ];
d[ ix ] = d[ iy ];
d[ iy ] = tmp;
ix += strideX;
iy -= strideX;
}
}
if ( n < M ) {
return;
}
for ( i = m; i < n; i += M ) {
tmp = d[ ix ];
d[ ix ] = d[ iy ];
d[ iy ] = tmp;
tmp = d[ ix+1 ];
d[ ix+1 ] = d[ iy-1 ];
d[ iy-1 ] = tmp;
tmp = d[ ix+2 ];
d[ ix+2 ] = d[ iy-2 ];
d[ iy-2 ] = tmp;
ix += M;
iy -= M;
}
return;
}
iy = ix + ( ( N-1 ) * strideX );
for ( i = 0; i < n; i++ ) {
tmp = d[ ix ];
d[ ix ] = d[ iy ];
d[ iy ] = tmp;
ix += strideX;
iy -= strideX;
}
}
// EXPORTS //
module.exports = srev;
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