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Original file line number Diff line number Diff line change
Expand Up @@ -21,7 +21,8 @@
// MODULES //

var bench = require( '@stdlib/bench' );
var randu = require( '@stdlib/random/base/randu' );
var Float64Array = require( '@stdlib/array/float64' );
var uniform = require( '@stdlib/random/base/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var EPS = require( '@stdlib/constants/float64/eps' );
var pkg = require( './../package.json' ).name;
Expand All @@ -33,16 +34,24 @@ var cdf = require( './../lib' );
bench( pkg, function benchmark( b ) {
var alpha;
var beta;
var len;
var x;
var y;
var i;

len = 100;
x = new Float64Array( len );
alpha = new Float64Array( len );
beta = new Float64Array( len );
for ( i = 0; i < len; i++ ) {
x[ i ] = uniform( EPS, 2.0 );
alpha[ i ] = uniform( EPS, 100.0 );
beta[ i ] = uniform( EPS, 100.0 );
}

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
x = ( randu()*2.0 ) + EPS;
alpha = ( randu()*100.0 ) + EPS;
beta = ( randu()*100.0 ) + EPS;
y = cdf( x, alpha, beta );
y = cdf( x[i % len], alpha[i % len], beta[i % len] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
Expand All @@ -59,18 +68,23 @@ bench( pkg+':factory', function benchmark( b ) {
var mycdf;
var alpha;
var beta;
var len;
var x;
var y;
var i;

alpha = 100.56789;
beta = 55.54321;
mycdf = cdf.factory( alpha, beta );
len = 100;
x = new Float64Array( len );
for ( i = 0; i < len; i++ ) {
x[ i ] = uniform( EPS, 2.0 );
}

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
x = ( randu()*2.0 ) + EPS;
y = mycdf( x );
y = mycdf( x[ i % len ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -21,7 +21,8 @@
// MODULES //

var bench = require( '@stdlib/bench' );
var randu = require( '@stdlib/random/base/randu' );
var Float64Array = require( '@stdlib/array/float64' );
var uniform = require( '@stdlib/random/base/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var EPS = require( '@stdlib/constants/float64/eps' );
var pkg = require( './../package.json' ).name;
Expand All @@ -34,13 +35,20 @@ bench( pkg+'::instantiation', function benchmark( b ) {
var alpha;
var beta;
var dist;
var len;
var i;

len = 100;
alpha = new Float64Array( len );
beta = new Float64Array( len );
for ( i = 0; i < len; i++ ) {
alpha[ i ] = uniform( EPS, 10.0 );
beta[ i ] = uniform( EPS, 10.0 );
}

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
alpha = ( randu() * 10.0 ) + EPS;
beta = ( randu() * 10.0 ) + EPS;
dist = new BetaPrime( alpha, beta );
dist = new BetaPrime( alpha[ i % len ], beta[ i % len ] );
if ( !( dist instanceof BetaPrime ) ) {
b.fail( 'should return a distribution instance' );
}
Expand Down Expand Up @@ -83,18 +91,23 @@ bench( pkg+'::set:alpha', function benchmark( b ) {
var alpha;
var beta;
var dist;
var len;
var y;
var i;

alpha = 100.56789;
beta = 55.54321;
dist = new BetaPrime( alpha, beta );
len = 100;
y = new Float64Array( len );
for ( i = 0; i < len; i++ ) {
y[ i ] = uniform( EPS, 100.0 );
}

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
y = ( 100.0*randu() ) + EPS;
dist.alpha = y;
if ( dist.alpha !== y ) {
dist.alpha = y[ i % len ];
if ( dist.alpha !== y[ i % len ] ) {
b.fail( 'should return set value' );
}
}
Expand Down Expand Up @@ -136,18 +149,23 @@ bench( pkg+'::set:beta', function benchmark( b ) {
var alpha;
var beta;
var dist;
var len;
var y;
var i;

alpha = 100.56789;
beta = 55.54321;
dist = new BetaPrime( alpha, beta );
len = 100;
y = new Float64Array( len );
for ( i = 0; i < len; i++ ) {
y[ i ] = uniform( EPS, 100.0 );
}

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
y = ( 100.0*randu() ) + EPS;
dist.beta = y;
if ( dist.beta !== y ) {
dist.beta = y[ i % len ];
if ( dist.beta !== y[ i % len ] ) {
b.fail( 'should return set value' );
}
}
Expand All @@ -163,16 +181,23 @@ bench( pkg+':kurtosis', function benchmark( b ) {
var alpha;
var beta;
var dist;
var len;
var x;
var y;
var i;

alpha = 100.56789;
beta = 55.54321;
dist = new BetaPrime( alpha, beta );
len = 100;
x = new Float64Array( len );
for ( i = 0; i < len; i++ ) {
x[ i ] = uniform( EPS, 100.0 );
}

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
dist.alpha = ( 100.0*randu() ) + EPS;
dist.alpha = x[ i % len ];
y = dist.kurtosis;
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
Expand All @@ -190,16 +215,23 @@ bench( pkg+':mean', function benchmark( b ) {
var alpha;
var beta;
var dist;
var len;
var x;
var y;
var i;

alpha = 100.56789;
beta = 55.54321;
dist = new BetaPrime( alpha, beta );
len = 100;
x = new Float64Array( len );
for ( i = 0; i < len; i++ ) {
x[ i ] = uniform( EPS, 100.0 );
}

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
dist.alpha = ( 100.0*randu() ) + EPS;
dist.alpha = x[ i % len ];
y = dist.mean;
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
Expand All @@ -217,16 +249,23 @@ bench( pkg+':mode', function benchmark( b ) {
var alpha;
var beta;
var dist;
var len;
var x;
var y;
var i;

alpha = 100.56789;
beta = 55.54321;
dist = new BetaPrime( alpha, beta );
len = 100;
x = new Float64Array( len );
for ( i = 0; i < len; i++ ) {
x[ i ] = uniform( 1.0 + EPS, 100.0 );
}

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
dist.alpha = ( 100.0*randu() ) + 1.0 + EPS;
dist.alpha = x[ i % len ];
y = dist.mode;
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
Expand All @@ -244,16 +283,23 @@ bench( pkg+':skewness', function benchmark( b ) {
var alpha;
var beta;
var dist;
var len;
var x;
var y;
var i;

alpha = 100.56789;
beta = 55.54321;
dist = new BetaPrime( alpha, beta );
len = 100;
x = new Float64Array( len );
for ( i = 0; i < len; i++ ) {
x[ i ] = uniform( EPS, 100.0 );
}

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
dist.alpha = ( 100.0*randu() ) + EPS;
dist.alpha = x[ i % len ];
y = dist.skewness;
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
Expand All @@ -271,16 +317,23 @@ bench( pkg+':stdev', function benchmark( b ) {
var alpha;
var beta;
var dist;
var len;
var x;
var y;
var i;

alpha = 100.56789;
beta = 55.54321;
dist = new BetaPrime( alpha, beta );
len = 100;
x = new Float64Array( len );
for ( i = 0; i < len; i++ ) {
x[ i ] = uniform( EPS, 100.0 );
}

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
dist.alpha = ( 100.0*randu() ) + EPS;
dist.alpha = x[ i % len ];
y = dist.stdev;
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
Expand All @@ -298,18 +351,23 @@ bench( pkg+':cdf', function benchmark( b ) {
var alpha;
var beta;
var dist;
var len;
var x;
var y;
var i;

alpha = 100.56789;
beta = 55.54321;
dist = new BetaPrime( alpha, beta );
len = 100;
x = new Float64Array( len );
for ( i = 0; i < len; i++ ) {
x[ i ] = uniform( 0.0, 1.0 );
}

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
x = randu();
y = dist.cdf( x );
y = dist.cdf( x[ i % len ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
Expand All @@ -326,18 +384,23 @@ bench( pkg+':logpdf', function benchmark( b ) {
var alpha;
var beta;
var dist;
var len;
var x;
var y;
var i;

alpha = 100.56789;
beta = 55.54321;
dist = new BetaPrime( alpha, beta );
len = 100;
x = new Float64Array( len );
for ( i = 0; i < len; i++ ) {
x[ i ] = uniform( 0.0, 1.0 );
}

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
x = randu();
y = dist.logpdf( x );
y = dist.logpdf( x[ i % len ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
Expand All @@ -354,18 +417,23 @@ bench( pkg+':pdf', function benchmark( b ) {
var alpha;
var beta;
var dist;
var len;
var x;
var y;
var i;

alpha = 100.56789;
beta = 55.54321;
dist = new BetaPrime( alpha, beta );
len = 100;
x = new Float64Array( len );
for ( i = 0; i < len; i++ ) {
x[ i ] = uniform( 0.0, 1.0 );
}

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
x = randu();
y = dist.pdf( x );
y = dist.pdf( x[ i % len ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
Expand All @@ -382,18 +450,23 @@ bench( pkg+':quantile', function benchmark( b ) {
var alpha;
var beta;
var dist;
var len;
var x;
var y;
var i;

alpha = 100.56789;
beta = 55.54321;
dist = new BetaPrime( alpha, beta );
len = 100;
x = new Float64Array( len );
for ( i = 0; i < len; i++ ) {
x[ i ] = uniform( 0.0, 1.0 );
}

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
x = randu();
y = dist.quantile( x );
y = dist.quantile( x[ i % len ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
Expand Down
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