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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 isnan = require( '@stdlib/math/base/assert/is-nan' );
var exp = require( '@stdlib/math/base/special/exp' );
var ln = require( '@stdlib/math/base/special/ln' );
 
 
// MAIN //
 
/**
* Computes the log loss.
*
* @param {number} y - true target value
* @param {number} p - predicted value
* @returns {number} log loss
*
* @example
* var v = log( 1.0, 0.782 );
* // returns ~0.377
*
* @example
* var v = log( 1.0, 0.202 );
* // returns ~0.597
*
* @example
* var v = log( 1.0, -0.999 );
* // returns ~1.313
*
* @example
* var v = log( -1.0, 0.2 );
* // returns ~0.798
*
* @example
* var v = log( -1.0, 2.0 );
* // returns ~2.127
*/
function log( y, p ) {
	if (
		isnan( y ) || isnan( p ) ||
		( y !== -1.0 && y !== 1.0 )
	) {
		return NaN;
	}
	return ln( 1.0 + exp( -y * p ) );
}
 
 
// EXPORTS //
 
module.exports = log;