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* @license Apache-2.0
*
* Copyright (c) 2026 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 numelDimension = require( '@stdlib/ndarray/base/numel-dimension' );
var clipIndex = require( '@stdlib/ndarray/base/clip-index' );
var getStride = require( '@stdlib/ndarray/base/stride' );
var getOffset = require( '@stdlib/ndarray/base/offset' );
var getData = require( '@stdlib/ndarray/base/data-buffer' );
var ndarraylike2scalar = require( '@stdlib/ndarray/base/ndarraylike2scalar' );
var serialize = require( '@stdlib/ndarray/base/serialize-meta-data' );
var ndarray = require( '@stdlib/ndarray/ctor' );
var addon = require( './../src/addon.node' );
// MAIN //
/**
* Fills a one-dimensional single-precision floating-point ndarray with a specified scalar constant.
*
* ## Notes
*
* - The function expects the following ndarrays:
*
* - a one-dimensional input ndarray.
* - a zero-dimensional ndarray containing the scalar constant.
* - a zero-dimensional ndarray containing the starting index (inclusive).
* - a zero-dimensional ndarray containing the ending index (exclusive).
*
* @private
* @param {ArrayLikeObject<Object>} arrays - array-like object containing ndarrays
* @returns {ndarray} input ndarray
*
* @example
* var Float32Vector = require( '@stdlib/ndarray/vector/float32' );
* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
*
* var x = new Float32Vector( [ 1.0, -2.0, 3.0, -4.0, 5.0, -6.0 ] );
*
* var alpha = scalar2ndarray( 5.0, {
* 'dtype': 'float32'
* });
*
* var start = scalar2ndarray( 0, {
* 'dtype': 'generic'
* });
*
* var end = scalar2ndarray( 2, {
* 'dtype': 'generic'
* });
*
* var out = sfill( [ x, alpha, start, end ] );
* // returns <ndarray>[ 5.0, 5.0, 3.0, -4.0, 5.0, -6.0 ]
*/
function sfill( arrays ) {
var xviewData;
var alphaData;
var xviewMeta;
var alphaMeta;
var offset;
var stride;
var xview;
var alpha;
var start;
var end;
var N;
var x;
x = arrays[ 0 ];
alpha = arrays[ 1 ];
N = numelDimension( x, 0 );
start = clipIndex( ndarraylike2scalar( arrays[ 2 ] ), N );
end = clipIndex( ndarraylike2scalar( arrays[ 3 ] ), N );
if ( start >= end ) {
return x;
}
stride = getStride( x, 0 );
offset = getOffset( x ) + ( stride*start );
xview = new ndarray( 'float32', getData( x ), [ end-start ], [ stride ], offset, 'row-major' );
xviewData = getData( xview );
xviewMeta = serialize( xview );
alphaData = getData( alpha );
alphaMeta = serialize( alpha );
addon( xviewData, xviewMeta, alphaData, alphaMeta );
return x;
}
// EXPORTS //
module.exports = sfill;
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