text: /**
  * @license Apache-2.0
  *
  * Copyright (c) 2018 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 tape = require( 'tape' );
  var isnan = require( '@stdlib/math/base/assert/is-nan' );
  var randu = require( '@stdlib/random/base/randu' );
  var PINF = require( '@stdlib/constants/float64/pinf' );
  var NINF = require( '@stdlib/constants/float64/ninf' );
  var kurtosis = require( './../lib' );
  
  
  // TESTS //
  
  tape( 'main export is a function', function test( t ) {
  	t.ok( true, __filename );
  	t.equal( typeof kurtosis, 'function', 'main export is a function' );
  	t.end();
  });
  
  tape( 'if provided `NaN` for any parameter, the function returns `NaN`', function test( t ) {
  	var v = kurtosis( NaN, 0.5 );
  	t.equal( isnan( v ), true, 'returns NaN' );
  
  	v = kurtosis( 10.0, NaN );
  	t.equal( isnan( v ), true, 'returns NaN' );
  
  	t.end();
  });
  
  tape( 'if provided `a >= b`, the function returns `NaN`', function test( t ) {
  	var y;
  
  	y = kurtosis( 3.0, 2.0 );
  	t.equal( isnan( y ), true, 'returns NaN' );
  
  	y = kurtosis( 2.0, 2.0 );
  	t.equal( isnan( y ), true, 'returns NaN' );
  
  	y = kurtosis( NINF, NINF );
  	t.equal( isnan( y ), true, 'returns NaN' );
  
  	y = kurtosis( PINF, NINF );
  	t.equal( isnan( y ), true, 'returns NaN' );
  
  	t.end();
  });
  
  tape( 'the function returns `-3/2` as the excess kurtosis of an arcsine distribution ', function test( t ) {
  	var a;
  	var b;
  	var i;
  	var v;
  
  	for ( i = 0; i < 10; i++ ) {
  		a = ( randu()*10.0 );
  		b = ( randu()*10.0 ) + a;
  		v = kurtosis( a, b );
  		t.equal( v, -3/2, 'returns -3/2' );
  	}
  	t.end();
  });
  