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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 ndarraylike2scalar = require( '@stdlib/ndarray/base/ndarraylike2scalar' );
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' );
var strided = require( '@stdlib/blas/ext/base/clogspace' ).ndarray;
// MAIN //
/**
* Fills a one-dimensional single-precision complex 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.
*
* @param {ArrayLikeObject<Object>} arrays - array-like object containing ndarrays
* @returns {ndarray} input ndarray
*
* @example
* var Complex64Vector = require( '@stdlib/ndarray/vector/complex64' );
* var Complex64 = require( '@stdlib/complex/float32/ctor' );
* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
*
* var x = new Complex64Vector( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );
*
* var base = scalar2ndarray( 10.0, {
* 'dtype': 'float32'
* });
*
* var strt = scalar2ndarray( new Complex64( 0.0, 0.0 ), {
* 'dtype': 'complex64'
* });
*
* var stp = scalar2ndarray( new Complex64( 3.0, 0.0 ), {
* 'dtype': 'complex64'
* });
*
* var endpoint = scalar2ndarray( true, {
* 'dtype': 'bool'
* });
*
* var out = clogspace( [ x, base, strt, stp, endpoint ] );
* // returns <ndarray>[ <Complex64>[ 1.0, 0.0 ], <Complex64>[ 10.0, 0.0 ], <Complex64>[ 100.0, 0.0 ], <Complex64>[ 1000.0, 0.0 ] ]
*/
function clogspace( arrays ) {
var endpoint;
var base;
var strt;
var stp;
var x;
x = arrays[ 0 ];
base = ndarraylike2scalar( arrays[ 1 ] );
strt = ndarraylike2scalar( arrays[ 2 ] );
stp = ndarraylike2scalar( arrays[ 3 ] );
endpoint = ndarraylike2scalar( arrays[ 4 ] );
strided( numelDimension( x, 0 ), base, strt, stp, endpoint, getData( x ), getStride( x, 0 ), getOffset( x ) ); // eslint-disable-line max-len
return x;
}
// EXPORTS //
module.exports = clogspace;
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