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‎math/base/special/minmaxf/assign.js.html

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<span class="cline-any cline-neutral">&nbsp;</span></td><td class="text"><pre class="prettyprint lang-js">/**
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* @license Apache-2.0
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*
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* Copyright (c) 2025 The Stdlib Authors.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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&nbsp;
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'use strict';
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&nbsp;
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// MODULES //
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&nbsp;
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var isNegativeZerof = require( '@stdlib/math/base/assert/is-negative-zerof' );
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var isnanf = require( '@stdlib/math/base/assert/is-nanf' );
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&nbsp;
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&nbsp;
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// MAIN //
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&nbsp;
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/**
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* Returns the minimum and maximum of two single-precision floating-point numbers and assigns results to a provided output array.
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*
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* @private
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* @param {number} x - first number
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* @param {number} y - second number
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* @param {Collection} out - output array
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* @param {integer} stride - output array stride
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* @param {NonNegativeInteger} offset - output array index offset
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* @returns {Collection} minimum and maximum values
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*
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* @example
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* var out = [ 0.0, 0.0 ];
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* var v = minmaxf( 3.14, 4.2, out, 1, 0 );
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* // returns [ 3.14, 4.2 ]
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*
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* var bool = ( v === out );
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* // returns true
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*
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* @example
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* var out = [ 0.0, 0.0 ];
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* var v = minmaxf( 3.14, NaN, out, 1, 0 );
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* // returns [ NaN, NaN ]
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*
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* @example
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* var out = [ 0.0, 0.0 ];
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* var v = minmaxf( +0.0, -0.0, out, 1, 0 );
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* // returns [ -0.0, 0.0 ]
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*/
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function minmaxf( x, y, out, stride, offset ) {
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if ( isnanf( x ) || isnanf( y ) ) {
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out[ offset ] = NaN;
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out[ offset + stride ] = NaN;
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return out;
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}
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if ( x === y &amp;&amp; x === 0.0 ) {
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if ( isNegativeZerof( x ) ) {
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out[ offset ] = x;
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out[ offset + stride ] = y;
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return out;
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}
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out[ offset ] = y;
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out[ offset + stride ] = x;
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return out;
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}
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if ( x &lt; y ) {
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out[ offset ] = x;
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out[ offset + stride ] = y;
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return out;
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}
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out[ offset ] = y;
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out[ offset + stride ] = x;
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return out;
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}
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&nbsp;
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&nbsp;
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// EXPORTS //
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&nbsp;
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module.exports = minmaxf;
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&nbsp;</pre></td></tr></table></pre>
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‎math/base/special/minmaxf/coverage.ndjson

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[253,253,100,17,17,100,3,3,100,253,253,100,"5625d06d2b63513ffb4046ea0ea4aa5723b9da7e","2025-06-13 18:06:22 -0400"]

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