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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 hasOwnProp = require( '@stdlib/assert/has-own-property' );
var isPlainObject = require( '@stdlib/assert/is-plain-object' );
var isNumber = require( '@stdlib/assert/is-number' ).isPrimitive;
var isComplexDataType = require( '@stdlib/array/base/assert/is-complex-floating-point-data-type' );
var isAccessorArray = require( '@stdlib/array/base/assert/is-accessor-array' );
var isndarrayLike = require( '@stdlib/assert/is-ndarray-like' );
var accessorSetter = require( '@stdlib/array/base/accessor-setter' );
var setter = require( '@stdlib/array/base/setter' );
var buffer = require( '@stdlib/ndarray/base/buffer' );
var getDType = require( '@stdlib/ndarray/dtype' );
var getOrder = require( '@stdlib/ndarray/order' );
var ndarray = require( '@stdlib/ndarray/ctor' );
var format = require( '@stdlib/string/format' );
// MAIN //
/**
* Convert a scalar value to a zero-dimensional ndarray having the same data type as a provided ndarray.
*
* ## Notes
*
* - If a `dtype` option is not provided and `value`
*
* - is a number, the default data type is the default real-valued floating-point data type.
* - is a boolean, the default data type is the default boolean data type.
* - is a complex number object of a known complex data type, the data type is the same as the provided value.
* - is a complex number object of an unknown complex data type, the default data type is the default complex-valued floating-point data type.
* - is any other value type, the default data type is `'generic'`.
*
* @param {ndarray} x - input ndarray
* @param {*} value - scalar value
* @param {Options} [options] - function options
* @param {string} [options.dtype] - output array data type
* @param {string} [options.order="row-major"] - memory layout (either row-major or column-major)
* @param {boolean} [options.readonly=false] - boolean indicating whether an array should be read-only
* @throws {TypeError} first argument must be an ndarray
* @throws {TypeError} options argument must be an object
* @throws {TypeError} `dtype` option must be a recognized data type
* @returns {ndarray} ndarray
*
* @example
* var getShape = require( '@stdlib/ndarray/shape' );
* var getDType = require( '@stdlib/ndarray/dtype' );
* var array = require( '@stdlib/ndarray/array' );
*
* var x = array( [ 1.0, 2.0, 3.0 ] );
* // returns <ndarray>[ 1.0, 2.0, 3.0 ]
*
* var out = scalar2ndarrayLike( x, 1.0, {
* 'dtype': 'float64'
* });
* // returns <ndarray>[ 1.0 ]
*
* var sh = getShape( out );
* // returns []
*
* var dt = getDType( out );
* // returns 'float64'
*/
function scalar2ndarrayLike( x, value, options ) {
var opts;
var buf;
var flg;
var set;
var dt;
var v;
if ( !isndarrayLike( x ) ) {
throw new TypeError( format( 'invalid argument. First argument must be an ndarray. Value: `%s`.', x ) );
}
opts = {
'dtype': getDType( x ),
'order': getOrder( x ),
'readonly': false
};
if ( arguments.length > 2 ) {
if ( !isPlainObject( options ) ) {
throw new TypeError( format( 'invalid argument. Options argument must be an object. Value: `%s`.', options ) );
}
if ( hasOwnProp( options, 'dtype' ) ) {
opts.dtype = options.dtype;
}
if ( hasOwnProp( options, 'order' ) ) {
opts.order = options.order;
}
if ( hasOwnProp( options, 'readonly' ) ) {
opts.readonly = options.readonly;
}
}
flg = isNumber( value );
dt = opts.dtype;
buf = buffer( dt, 1 );
if ( buf === null ) {
throw new TypeError( format( 'invalid option. `%s` option must be a recognized data type. Option: `%s`.', 'dtype', dt ) );
}
if ( isComplexDataType( dt ) && flg ) {
v = [ value, 0.0 ]; // note: we're assuming that the ComplexXXArray setter accepts an array of interleaved real and imaginary components
} else {
v = value;
}
if ( isAccessorArray( buf ) ) {
set = accessorSetter( dt );
} else {
set = setter( dt );
}
set( buf, 0, v );
return new ndarray( dt, buf, [], [ 0 ], 0, opts.order, opts );
}
// EXPORTS //
module.exports = scalar2ndarrayLike;
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