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 abs = require( '@stdlib/math/base/special/abs' );
  var PINF = require( '@stdlib/constants/math/float64-pinf' );
  var NINF = require( '@stdlib/constants/math/float64-ninf' );
  var EPS = require( '@stdlib/constants/math/float64-eps' );
  var pmf = require( './../lib' );
  
  
  // FIXTURES //
  
  var smallSmall = require( './fixtures/julia/small_small.json' );
  var smallHigh = require( './fixtures/julia/small_high.json' );
  var highSmall = require( './fixtures/julia/high_small.json' );
  var highHigh = require( './fixtures/julia/high_high.json' );
  
  
  // TESTS //
  
  tape( 'main export is a function', function test( t ) {
  	t.ok( true, __filename );
  	t.equal( typeof pmf, 'function', 'main export is a function' );
  	t.end();
  });
  
  tape( 'if provided `NaN` for any parameter, the function returns `NaN`', function test( t ) {
  	var y = pmf( NaN, 20.0, 0.5 );
  	t.equal( isnan( y ), true, 'returns NaN' );
  	y = pmf( 0.0, NaN, 0.5 );
  	t.equal( isnan( y ), true, 'returns NaN' );
  	y = pmf( 0.0, 20.0, NaN );
  	t.equal( isnan( y ), true, 'returns NaN' );
  	t.end();
  });
  
  tape( 'if provided a negative integer for `x` and a valid `r` and `p`, the function returns `0`', function test( t ) {
  	var y = pmf( NINF, 20, 0.5 );
  	t.equal( y, 0.0, 'returns 0' );
  
  	y = pmf( -20.0, 20, 0.5 );
  	t.equal( y, 0.0, 'returns 0' );
  
  	y = pmf( -100.0, 20, 0.5 );
  	t.equal( y, 0.0, 'returns 0' );
  
  	y = pmf( -1.0, 20, 0.5 );
  	t.equal( y, 0.0, 'returns 0' );
  
  	t.end();
  });
  
  tape( 'if provided a non-integer for `x` and a valid `r` and `p`, the function returns `0`', function test( t ) {
  	var y = pmf( -1.5, 20.0, 0.5 );
  	t.equal( y, 0.0, 'returns 0' );
  
  	y = pmf( -0.5, 20.0, 0.5 );
  	t.equal( y, 0.0, 'returns 0' );
  
  	y = pmf( 1.5, 20.0, 0.5 );
  	t.equal( y, 0.0, 'returns 0' );
  
  	y = pmf( 2.5, 20.0, 0.5 );
  	t.equal( y, 0.0, 'returns 0' );
  
  	t.end();
  });
  
  tape( 'if provided `r` which is not a positive number, the function returns `NaN`', function test( t ) {
  	var y;
  
  	y = pmf( 2.0, -0.5, 0.5 );
  	t.equal( isnan( y ), true, 'returns NaN' );
  
  	y = pmf( 0.0, -1.0, 0.5 );
  	t.equal( isnan( y ), true, 'returns NaN' );
  
  	y = pmf( 2.0, NINF, 0.5 );
  	t.equal( isnan( y ), true, 'returns NaN' );
  
  	t.end();
  });
  
  tape( 'if provided a success probability `p` outside of `[0,1]`, the function returns `NaN`', function test( t ) {
  	var y;
  
  	y = pmf( 2.0, 20, -1.0 );
  	t.equal( isnan( y ), true, 'returns NaN' );
  
  	y = pmf( 0.0, 20, 1.5 );
  	t.equal( isnan( y ), true, 'returns NaN' );
  
  	y = pmf( 2.0, 20, NINF );
  	t.equal( isnan( y ), true, 'returns NaN' );
  
  	y = pmf( 2.0, 20, PINF );
  	t.equal( isnan( y ), true, 'returns NaN' );
  
  	t.end();
  });
  
  tape( 'the function evaluates the pmf for `x` given large `r` and `p`', function test( t ) {
  	var expected;
  	var delta;
  	var tol;
  	var i;
  	var r;
  	var p;
  	var x;
  	var y;
  
  	expected = highHigh.expected;
  	x = highHigh.x;
  	r = highHigh.r;
  	p = highHigh.p;
  	for ( i = 0; i < x.length; i++ ) {
  		y = pmf( x[i], r[i], p[i] );
  		if ( y === expected[i] ) {
  			t.equal( y, expected[i], 'x: '+x[i]+', r: '+r[i]+', p: '+p[i]+', y: '+y+', expected: '+expected[i] );
  		} else {
  			delta = abs( y - expected[i] );
  			tol = 650.0 * EPS * abs( expected[i] );
  			t.strictEqual( delta <= tol, true, 'within tolerance. x: '+x[i]+'. r: '+r[i]+'. p: '+p[i]+'. y: '+y+'. Expected: '+expected[i]+'. tol: '+tol+'. delta: '+delta+'.' );
  		}
  	}
  	t.end();
  });
  
  tape( 'the function evaluates the pmf for `x` given large parameter `r` and small `p`', function test( t ) {
  	var expected;
  	var delta;
  	var tol;
  	var i;
  	var r;
  	var p;
  	var x;
  	var y;
  
  	expected = highSmall.expected;
  	x = highSmall.x;
  	r = highSmall.r;
  	p = highSmall.p;
  	for ( i = 0; i < x.length; i++ ) {
  		y = pmf( x[i], r[i], p[i] );
  		if ( y === expected[i] ) {
  			t.equal( y, expected[i], 'x: '+x[i]+', r: '+r[i]+', p: '+p[i]+', y: '+y+', expected: '+expected[i] );
  		} else {
  			delta = abs( y - expected[i] );
  			tol = 450.0 * EPS * abs( expected[i] );
  			t.strictEqual( delta <= tol, true, 'within tolerance. x: '+x[i]+'. r: '+r[i]+'. p: '+p[i]+'. y: '+y+'. Expected: '+expected[i]+'. tol: '+tol+'. delta: '+delta+'.' );
  		}
  	}
  	t.end();
  });
  
  tape( 'the function evaluates the pmf for `x` given small `r` and large `p`', function test( t ) {
  	var expected;
  	var delta;
  	var tol;
  	var i;
  	var r;
  	var p;
  	var x;
  	var y;
  
  	expected = smallHigh.expected;
  	x = smallHigh.x;
  	r = smallHigh.r;
  	p = smallHigh.p;
  	for ( i = 0; i < x.length; i++ ) {
  		y = pmf( x[i], r[i], p[i] );
  		if ( y === expected[i] ) {
  			t.equal( y, expected[i], 'x: '+x[i]+', r: '+r[i]+', p: '+p[i]+', y: '+y+', expected: '+expected[i] );
  		} else {
  			delta = abs( y - expected[i] );
  			tol = 80.0 * EPS * abs( expected[i] );
  			t.strictEqual( delta <= tol, true, 'within tolerance. x: '+x[i]+'. r: '+r[i]+'. p: '+p[i]+'. y: '+y+'. Expected: '+expected[i]+'. tol: '+tol+'. delta: '+delta+'.' );
  		}
  	}
  	t.end();
  });
  
  tape( 'the function evaluates the pmf for `x` given small `r` and `p`', function test( t ) {
  	var expected;
  	var delta;
  	var tol;
  	var i;
  	var r;
  	var p;
  	var x;
  	var y;
  
  	expected = smallSmall.expected;
  	x = smallSmall.x;
  	r = smallSmall.r;
  	p = smallSmall.p;
  	for ( i = 0; i < x.length; i++ ) {
  		y = pmf( x[i], r[i], p[i] );
  		if ( y === expected[i] ) {
  			t.equal( y, expected[i], 'x: '+x[i]+', r: '+r[i]+', p: '+p[i]+', y: '+y+', expected: '+expected[i] );
  		} else {
  			delta = abs( y - expected[i] );
  			tol = 80.0 * EPS * abs( expected[i] );
  			t.strictEqual( delta <= tol, true, 'within tolerance. x: '+x[i]+'. r: '+r[i]+'. p: '+p[i]+'. y: '+y+'. Expected: '+expected[i]+'. tol: '+tol+'. delta: '+delta+'.' );
  		}
  	}
  	t.end();
  });
  