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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 reinterpret = require( '@stdlib/strided/base/reinterpret-boolean' );
var serialize = require( '@stdlib/ndarray/base/serialize-meta-data' );
var ndarraylike2scalar = require( '@stdlib/ndarray/base/ndarraylike2scalar' );
var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
var getDType = require( '@stdlib/ndarray/dtype' );
var getData = require( '@stdlib/ndarray/base/data-buffer' );
var addon = require( './../src/addon.node' );
// MAIN //
/**
* Fills a one-dimensional single-precision floating-point ndarray with logarithmically spaced values over a specified interval.
*
* ## Notes
*
* - The function expects the following ndarrays:
*
* - a one-dimensional input ndarray.
* - a zero-dimensional ndarray specifying the base of the logarithmic scale.
* - a zero-dimensional ndarray specifying the exponent of the starting value.
* - a zero-dimensional ndarray specifying the exponent of the final value.
* - a zero-dimensional ndarray specifying whether to include the `base^stop` value when writing values to the input ndarray.
*
* @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( 4 );
* var base = scalar2ndarray( 10.0, { 'dtype': 'float32' } );
* var strt = scalar2ndarray( 0.0, { 'dtype': 'float32' } );
* var stp = scalar2ndarray( 3.0, { 'dtype': 'float32' } );
* var endpoint = scalar2ndarray( true, { 'dtype': 'bool' } );
*
* var out = slogspace( [ x, base, strt, stp, endpoint ] );
* // returns <ndarray>[ 1.0, 10.0, 100.0, 1000.0 ]
*/
function slogspace( arrays ) {
var endpoint = arrays[ 4 ];
var base = arrays[ 1 ];
var strt = arrays[ 2 ];
var stp = arrays[ 3 ];
var x = arrays[ 0 ];
if ( getDType( base ) !== 'float32' ) {
base = scalar2ndarray( ndarraylike2scalar( base ), {
'dtype': 'float32'
});
}
addon( getData( x ), serialize( x ), getData( base ), serialize( base ), getData( strt ), serialize( strt ), getData( stp ), serialize( stp ), reinterpret( getData( endpoint ), 0 ), serialize( endpoint ) ); // eslint-disable-line max-len
return x;
}
// EXPORTS //
module.exports = slogspace;
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