Skip to content
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Original file line number Diff line number Diff line change
Expand Up @@ -21,9 +21,8 @@
// MODULES //

var bench = require( '@stdlib/bench' );
var Float64Array = require( '@stdlib/array/float64' );
var uniform = require( '@stdlib/random/base/uniform' );
var discreteUniform = require( '@stdlib/random/base/discrete-uniform' );
var uniform = require( '@stdlib/random/array/uniform' );
var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var pkg = require( './../package.json' ).name;
var kurtosis = require( './../lib' );
Expand All @@ -32,23 +31,21 @@ var kurtosis = require( './../lib' );
// MAIN //

bench( pkg, function benchmark( b ) {
var len;
var opts;
var n;
var p;
var y;
var i;

len = 100;
n = new Float64Array( len );
p = new Float64Array( len );
for ( i = 0; i < len; i++ ) {
n[ i ] = discreteUniform( 1, 100 );
p[ i ] = uniform( 0.0, 1.0 );
}
opts = {
'dtype': 'float64'
};
n = discreteUniform( 100, 1, 100, opts );
p = uniform( 100, 0.0, 1.0, opts );

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
y = kurtosis( n[ i % len ], p[ i % len ] );
y = kurtosis( n[ i % n.length ], p[ i % p.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -22,10 +22,9 @@

var resolve = require( 'path' ).resolve;
var bench = require( '@stdlib/bench' );
var Float64Array = require( '@stdlib/array/float64' );
var tryRequire = require( '@stdlib/utils/try-require' );
var uniform = require( '@stdlib/random/base/uniform' );
var discreteUniform = require( '@stdlib/random/base/discrete-uniform' );
var uniform = require( '@stdlib/random/array/uniform' );
var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var pkg = require( './../package.json' ).name;

Expand All @@ -41,22 +40,21 @@ var opts = {
// MAIN //

bench( pkg+'::native', opts, function benchmark( b ) {
var len;
var opts;
var n;
var p;
var y;
var i;

n = new Float64Array( len );
p = new Float64Array( len );
for ( i = 0; i < len; i++ ) {
n[ i ] = discreteUniform( 1, 100 );
p[ i ] = uniform( 0.0, 1.0 );
}
opts = {
'dtype': 'float64'
};
n = discreteUniform( 1000, 1, 100, opts );
p = uniform( 1000, 0.0, 1.0, opts );

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
y = kurtosis( n[ i % len ], p[ i % len ] );
y = kurtosis( n[ i % n.length ], p[ i % p.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -44,13 +44,13 @@ tape( 'main export is a function', function test( t ) {

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' );
t.equal( isnan( v ), true, 'returns expected value' );

v = kurtosis( 10, NaN );
t.equal( isnan( v ), true, 'returns NaN' );
t.equal( isnan( v ), true, 'returns expected value' );

v = kurtosis( NaN, NaN );
t.equal( isnan( v ), true, 'returns NaN' );
t.equal( isnan( v ), true, 'returns expected value' );

t.end();
});
Expand All @@ -59,19 +59,19 @@ tape( 'if provided an `n` which is not a nonnegative integer, the function retur
var v;

v = kurtosis( 1.5, 0.5 );
t.equal( isnan( v ), true, 'returns NaN' );
t.equal( isnan( v ), true, 'returns expected value' );

v = kurtosis( -2, 0.5 );
t.equal( isnan( v ), true, 'returns NaN' );
t.equal( isnan( v ), true, 'returns expected value' );

v = kurtosis( -1, 0.5 );
t.equal( isnan( v ), true, 'returns NaN' );
t.equal( isnan( v ), true, 'returns expected value' );

v = kurtosis( 2.5, 0.5 );
t.equal( isnan( v ), true, 'returns NaN' );
t.equal( isnan( v ), true, 'returns expected value' );

v = kurtosis( PINF, 0.5 );
t.equal( isnan( v ), true, 'returns NaN' );
t.equal( isnan( v ), true, 'returns expected value' );

t.end();
});
Expand All @@ -80,16 +80,16 @@ tape( 'if provided a success probability `p` outside of `[0,1]`, the function re
var v;

v = kurtosis( 20, -1.0 );
t.equal( isnan( v ), true, 'returns NaN' );
t.equal( isnan( v ), true, 'returns expected value' );

v = kurtosis( 20, 1.5 );
t.equal( isnan( v ), true, 'returns NaN' );
t.equal( isnan( v ), true, 'returns expected value' );

v = kurtosis( 20, NINF );
t.equal( isnan( v ), true, 'returns NaN' );
t.equal( isnan( v ), true, 'returns expected value' );

v = kurtosis( 20, PINF );
t.equal( isnan( v ), true, 'returns NaN' );
t.equal( isnan( v ), true, 'returns expected value' );

t.end();
});
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -53,10 +53,10 @@ tape( 'main export is a function', opts, function test( t ) {

tape( 'if provided `NaN` for any parameter, the function returns `NaN`', opts, function test( t ) {
var v = kurtosis( 10, NaN );
t.equal( isnan( v ), true, 'returns NaN' );
t.equal( isnan( v ), true, 'returns expected value' );

v = kurtosis( NaN, NaN );
t.equal( isnan( v ), true, 'returns NaN' );
t.equal( isnan( v ), true, 'returns expected value' );

t.end();
});
Expand All @@ -65,10 +65,10 @@ tape( 'if provided an `n` which is not a nonnegative integer, the function retur
var v;

v = kurtosis( -2, 0.5 );
t.equal( isnan( v ), true, 'returns NaN' );
t.equal( isnan( v ), true, 'returns expected value' );

v = kurtosis( -1, 0.5 );
t.equal( isnan( v ), true, 'returns NaN' );
t.equal( isnan( v ), true, 'returns expected value' );

t.end();
});
Expand All @@ -77,16 +77,16 @@ tape( 'if provided a success probability `p` outside of `[0,1]`, the function re
var v;

v = kurtosis( 20, -1.0 );
t.equal( isnan( v ), true, 'returns NaN' );
t.equal( isnan( v ), true, 'returns expected value' );

v = kurtosis( 20, 1.5 );
t.equal( isnan( v ), true, 'returns NaN' );
t.equal( isnan( v ), true, 'returns expected value' );

v = kurtosis( 20, NINF );
t.equal( isnan( v ), true, 'returns NaN' );
t.equal( isnan( v ), true, 'returns expected value' );

v = kurtosis( 20, PINF );
t.equal( isnan( v ), true, 'returns NaN' );
t.equal( isnan( v ), true, 'returns expected value' );

t.end();
});
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -21,9 +21,8 @@
// MODULES //

var bench = require( '@stdlib/bench' );
var Float64Array = require( '@stdlib/array/float64' );
var uniform = require( '@stdlib/random/base/uniform' );
var discreteUniform = require( '@stdlib/random/base/discrete-uniform' );
var uniform = require( '@stdlib/random/array/uniform' );
var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var pkg = require( './../package.json' ).name;
var logpmf = require( './../lib' );
Expand All @@ -32,26 +31,23 @@ var logpmf = require( './../lib' );
// MAIN //

bench( pkg, function benchmark( b ) {
var len;
var opts;
var n;
var p;
var x;
var y;
var i;

len = 100;
x = new Float64Array( len );
n = new Float64Array( len );
p = new Float64Array( len );
for ( i = 0; i < len; i++ ) {
x[ i ] = discreteUniform( 0, 50 );
n[ i ] = discreteUniform( 1, 100 );
p[ i ] = uniform( 0.0, 1.0 );
}
opts = {
'dtype': 'float64'
};
x = discreteUniform( 100, 1, 50, opts );
n = discreteUniform( 100, 1, 100, opts );
p = uniform( 100, 0.0, 1.0, opts );

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
y = logpmf( x[ i % len ], n[ i % len ], p[ i % len ] );
y = logpmf( x[ i % x.length ], n[ i % n.length ], p[ i % p.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
Expand All @@ -66,25 +62,25 @@ bench( pkg, function benchmark( b ) {

bench( pkg+':factory', function benchmark( b ) {
var mypmf;
var len;
var opts;
var n;
var p;
var x;
var y;
var i;

opts = {
'dtype': 'float64'
};
x = discreteUniform( 100, 1, 80, opts );

n = 80;
p = 0.4;
mypmf = logpmf.factory( n, p );
len = 100;
x = new Float64Array( len );
for ( i = 0; i < len; i++ ) {
x[ i ] = discreteUniform( 0, 80 );
}

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