All files main.js

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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 isnanf = require( '@stdlib/math/base/assert/is-nanf' );
var log1pf = require( '@stdlib/math/base/special/log1pf' );
var f32 = require( '@stdlib/number/float64/base/to-float32' );
 
 
// MAIN //
 
/**
* Computes `x * ln(y+1)` so that the result is `0` if `x = 0` for single-precision floating-point numbers `x` and `y`.
*
* @param {number} x - input value
* @param {number} y - input value
* @returns {number} function value
*
* @example
* var out = xlog1pyf( 3.0, 2.0 );
* // returns ~3.296
*
* @example
* var out = xlog1pyf( 1.5, 5.9 );
* // returns ~2.897
*
* @example
* var out = xlog1pyf( 0.9, 1.0 );
* // returns ~0.624
*
* @example
* var out = xlog1pyf( 1.0, 0.0 );
* // returns 0.0
*
* @example
* var out = xlog1pyf( 0.0, -2.0 );
* // returns 0.0
*
* @example
* var out = xlog1pyf( 1.5, NaN );
* // returns NaN
*
* @example
* var out = xlog1pyf( 0.0, NaN );
* // returns NaN
*
* @example
* var out = xlog1pyf( NaN, 2.3 );
* // returns NaN
*/
function xlog1pyf( x, y ) {
	if ( x === 0.0 && !isnanf( y ) ) {
		return 0.0;
	}
	return f32(f32(x) * log1pf( y ));
}
 
 
// EXPORTS //
 
module.exports = xlog1pyf;