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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 cos = require( '@stdlib/math/base/special/cos' );
var PI = require( '@stdlib/constants/float64/pi' );
 
 
// VARIABLES //
 
var PI_OVER_4 = PI / 4.0;
 
 
// MAIN //
 
/**
* Evaluates the probability density function (PDF) for Anglit distribution with location parameter `mu` and scale parameter `sigma` at a value `x`.
*
* @param {number} x - input value
* @param {number} mu - location parameter
* @param {number} sigma - scale parameter
* @returns {number} evaluated PDF
*
* @example
* var y = pdf( 0.0, 0.0, 1.0 );
* // returns 1.0
*
* @example
* var y = pdf( 0.5, 0.0, 1.0 );
* // returns ~0.54
*
* @example
* var y = pdf( 2.0, 0.0, 1.0 );
* // returns 0.0
*
* @example
* var y = pdf( NaN, 0.0, 1.0 );
* // returns NaN
*
* @example
* var y = pdf( 0.0, NaN, 1.0 );
* // returns NaN
*
* @example
* var y = pdf( 0.0, 0.0, -1.0 );
* // returns NaN
*/
function pdf( x, mu, sigma ) {
	var y;
	if (
		isnan( x ) ||
		isnan( mu ) ||
		isnan( sigma ) ||
		sigma <= 0.0
	) {
		return NaN;
	}
 
	// Transform x to the standardized form:
	y = ( x - mu ) / sigma;
	if ( y < -PI_OVER_4 || y > PI_OVER_4 ) {
		return 0.0;
	}
 
	return cos( 2.0 * y ) / sigma;
}
 
 
// EXPORTS //
 
module.exports = pdf;