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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 siftDown = require( '@stdlib/blas/ext/base/dminheap-sift-down' ).ndarray;
var floor = require( '@stdlib/math/base/special/floor' );
// MAIN //
/**
* Converts a double-precision floating-point strided array to a min-heap using alternative indexing semantics.
*
* ## Notes
*
* - The min-heap algorithm is sensitive to the presence of `NaN` values. Since `NaN` comparisons always return `false`, if `NaN` values are present in the input array, the results may be unpredictable.
*
* @param {PositiveInteger} N - number of indexed elements
* @param {Float64Array} x - input array
* @param {integer} strideX - stride length
* @param {NonNegativeInteger} offsetX - starting index
* @returns {Float64Array} input array
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
*
* var x = new Float64Array( [ 7.0, 5.0, 3.0, 1.0, 9.0 ] );
*
* dminheapify( 5, x, 1, 0 );
* // x => <Float64Array>[ 1.0, 5.0, 3.0, 7.0, 9.0 ]
*/
function dminheapify( N, x, strideX, offsetX ) {
var i;
if ( N <= 0 ) {
return x;
}
for ( i = floor( (N-1)/2 ); i >= 0; i-- ) {
siftDown( N, i, x[ offsetX+(i*strideX) ], x, strideX, offsetX );
}
return x;
}
// EXPORTS //
module.exports = dminheapify;
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