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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';
// MAIN //
/**
* Applies a condition to two zero-dimensional input ndarrays according to a zero-dimensional boolean ndarray and assigns the result to elements in a zero-dimensional output ndarray.
*
* @private
* @param {Object} condition - object containing boolean condition ndarray meta data
* @param {*} condition.dtype - data type
* @param {Collection} condition.data - data buffer
* @param {NonNegativeIntegerArray} condition.shape - dimensions
* @param {IntegerArray} condition.strides - stride lengths
* @param {NonNegativeInteger} condition.offset - index offset
* @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
* @param {Array<Function>} condition.accessors - data buffer accessors
* @param {Object} x - object containing first input ndarray meta data
* @param {*} x.dtype - data type
* @param {Collection} x.data - data buffer
* @param {NonNegativeIntegerArray} x.shape - dimensions
* @param {IntegerArray} x.strides - stride lengths
* @param {NonNegativeInteger} x.offset - index offset
* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
* @param {Array<Function>} x.accessors - data buffer accessors
* @param {Object} y - object containing second input ndarray meta data
* @param {*} y.dtype - data type
* @param {Collection} y.data - data buffer
* @param {NonNegativeIntegerArray} y.shape - dimensions
* @param {IntegerArray} y.strides - stride lengths
* @param {NonNegativeInteger} y.offset - index offset
* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
* @param {Array<Function>} y.accessors - data buffer accessors
* @param {Object} out - object containing output ndarray meta data
* @param {*} out.dtype - data type
* @param {Collection} out.data - data buffer
* @param {NonNegativeIntegerArray} out.shape - dimensions
* @param {IntegerArray} out.strides - stride lengths
* @param {NonNegativeInteger} out.offset - index offset
* @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
* @param {Array<Function>} out.accessors - data buffer accessors
* @returns {void}
*
* @example
* var Complex64Array = require( '@stdlib/array/complex64' );
* var BooleanArray = require( '@stdlib/array/bool' );
* var realf = require( '@stdlib/complex/float32/real' );
* var imagf = require( '@stdlib/complex/float32/imag' );
*
* // Create data buffers:
* var cbuf = new BooleanArray( [ 1 ] );
* var xbuf = new Complex64Array( [ 1.0, 2.0 ] );
* var ybuf = new Complex64Array( [ 3.0, 4.0 ] );
* var obuf = new Complex64Array( 1 );
*
* // Define the shape of the arrays (0-dimensional = scalar):
* var shape = [];
*
* // Define the array strides:
* var sc = [ 0 ];
* var sx = [ 0 ];
* var sy = [ 0 ];
* var so = [ 0 ];
*
* // Define the index offsets:
* var oc = 0;
* var ox = 0;
* var oy = 0;
* var oo = 0;
*
* // Define getters and setters:
* function getter( buf, idx ) {
* return buf.get( idx );
* }
*
* function setter( buf, idx, value ) {
* buf.set( value, idx );
* }
*
* // Create the ndarray-like objects:
* var condition = {
* 'dtype': 'bool',
* 'data': cbuf,
* 'shape': shape,
* 'strides': sc,
* 'offset': oc,
* 'order': 'row-major',
* 'accessors': [ getter, setter ]
* };
* var x = {
* 'dtype': 'complex64',
* 'data': xbuf,
* 'shape': shape,
* 'strides': sx,
* 'offset': ox,
* 'order': 'row-major',
* 'accessors': [ getter, setter ]
* };
* var y = {
* 'dtype': 'complex64',
* 'data': ybuf,
* 'shape': shape,
* 'strides': sy,
* 'offset': oy,
* 'order': 'row-major',
* 'accessors': [ getter, setter ]
* };
* var out = {
* 'dtype': 'complex64',
* 'data': obuf,
* 'shape': shape,
* 'strides': so,
* 'offset': oo,
* 'order': 'row-major',
* 'accessors': [ getter, setter ]
* };
*
* // Apply the condition:
* where0d( condition, x, y, out );
*
* var v = out.data.get( 0 );
*
* var re = realf( v );
* // returns 1.0
*
* var im = imagf( v );
* // returns 2.0
*/
function where0d( condition, x, y, out ) {
out.accessors[ 1 ]( out.data, out.offset, ( condition.accessors[ 0 ]( condition.data, condition.offset ) ) ? x.accessors[ 0 ]( x.data, x.offset ) : y.accessors[ 0 ]( y.data, y.offset ) ); // eslint-disable-line max-len
}
// EXPORTS //
module.exports = where0d;
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