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* @license Apache-2.0
*
* Copyright (c) 2025 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 //
/**
* Tests whether a reinterpreted complex number ndarray contains a specified value.
*
* @private
* @param {Object} x - object containing ndarray meta data
* @param {string} 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 {ComplexLike} value - search element
* @returns {boolean} result
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
*
* // Create a data buffer:
* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
*
* // Define the shape of the input array:
* var shape = [ 4 ];
*
* // Define the array strides:
* var sx = [ 2 ];
*
* // Define the index offset:
* var ox = 0;
*
* // Create the input ndarray-like object:
* var x = {
* 'dtype': 'complex128',
* 'data': xbuf,
* 'shape': shape,
* 'strides': sx,
* 'offset': ox,
* 'order': 'row-major'
* };
*
* // Perform reduction:
* var v = {
* 're': 3.0,
* 'im': 4.0
* };
* var out = includes1d( x, v );
* // returns true
*
* v = {
* 're': -3.0,
* 'im': -4.0
* };
* out = includes1d( x, v );
* // returns false
*/
function includes1d( x, value ) {
var xbuf;
var dx0;
var S0;
var ix;
var i0;
// Note on variable naming convention: S#, dx#, i# where # corresponds to the loop number, with `0` being the innermost loop...
// Extract loop variables: dimensions and loop offset (pointer) increments:
S0 = x.shape[ 0 ];
dx0 = x.strides[ 0 ];
// Set a pointer to the first indexed element:
ix = x.offset;
// Cache a reference to the input ndarray buffer:
xbuf = x.data;
// Iterate over the ndarray dimensions...
for ( i0 = 0; i0 < S0; i0++ ) {
if ( xbuf[ ix ] === value.re && xbuf[ ix+1 ] === value.im ) {
return true;
}
ix += dx0;
}
return false;
}
// EXPORTS //
module.exports = includes1d;
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