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bench: refactor random value generation #5465

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

var bench = require( '@stdlib/bench' );
var randu = require( '@stdlib/random/base/randu' );
var floor = require( '@stdlib/math/base/special/floor' );
var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var pkg = require( './../package.json' ).name;
var binet = require( './../lib' );
Expand All @@ -35,10 +34,11 @@ bench( pkg, function benchmark( b ) {
var y;
var i;

x = discreteUniform( 100, 0.0, 79.0 );

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
x = floor( randu()*79.0 );
y = binet( x );
y = binet( x[ i % x.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -22,8 +22,7 @@

var resolve = require( 'path' ).resolve;
var bench = require( '@stdlib/bench' );
var randu = require( '@stdlib/random/base/randu' );
var floor = require( '@stdlib/math/base/special/floor' );
var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var tryRequire = require( '@stdlib/utils/try-require' );
var pkg = require( './../package.json' ).name;
Expand All @@ -44,10 +43,11 @@ bench( pkg+'::native', opts, function benchmark( b ) {
var y;
var i;

x = discreteUniform( 100, 0.0, 79.0 );

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
x = floor( randu() * 79.0 );
y = binet( x );
y = binet( x[ i % x.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -16,6 +16,7 @@
* limitations under the License.
*/

#include "stdlib/math/base/special/binet.h"
#include <stdlib.h>
#include <stdio.h>
#include <math.h>
Expand Down Expand Up @@ -99,16 +100,19 @@ double binet( double x ) {
* @return elapsed time in seconds
*/
static double benchmark( void ) {
double x[ 100 ];
double elapsed;
double t;
double x;
double y;
int i;

for ( i = 0; i < 100; i++ ) {
x[ i ] = floor( 79.0*rand_double() );
}

t = tic();
for ( i = 0; i < ITERATIONS; i++ ) {
x = floor( 79.0*rand_double() );
y = binet( x );
y = stdlib_base_binet( x[ i % 100 ] );
if ( y < 0 ) {
printf( "should return a nonnegative number\n" );
break;
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -90,16 +90,19 @@ static double rand_double( void ) {
* @return elapsed time in seconds
*/
static double benchmark( void ) {
double x[ 100 ];
double elapsed;
double x;
double y;
double t;
int i;

for ( i = 0; i < 100; i++ ) {
x[ i ] = floor( 79.0*rand_double() );
}

t = tic();
for ( i = 0; i < ITERATIONS; i++ ) {
x = floor( 79.0 * rand_double() );
y = stdlib_base_binet( x );
y = stdlib_base_binet( x[ i % 100 ] );
if ( y != y ) {
printf( "should not return NaN\n" );
break;
Expand Down
6 changes: 3 additions & 3 deletions lib/node_modules/@stdlib/math/base/special/binet/test/test.js
Original file line number Diff line number Diff line change
Expand Up @@ -41,19 +41,19 @@

tape( 'if provided `NaN`, the function returns `NaN`', function test( t ) {
var v = binet( NaN );
t.strictEqual( isnan( v ), true, 'returns NaN when provided a NaN' );
t.strictEqual( isnan( v ), true, 'returns expected value when provided a NaN' );
t.end();
});

tape( 'if provided `+infinity`, the function returns `NaN`', function test( t ) {
var v = binet( PINF );
t.strictEqual( isnan( v ), true, 'returns NaN' );
t.strictEqual( isnan( v ), true, 'returns expected value' );
t.end();
});

tape( 'if provided `-infinity`, the function returns `NaN`', function test( t ) {
var v = binet( NINF );
t.strictEqual( isnan( v ), true, 'returns NaN' );
t.strictEqual( isnan( v ), true, 'returns expected value' );
t.end();
});

Expand All @@ -77,7 +77,7 @@
t.end();
});

tape( 'for nonpositive integers, the function approximates the nth negaFibonacci number', function test( t ) {

Check warning on line 80 in lib/node_modules/@stdlib/math/base/special/binet/test/test.js

View workflow job for this annotation

GitHub Actions / Lint Changed Files

Unknown word: "nega"
var expected;
var delta;
var tol;
Expand All @@ -87,7 +87,7 @@
v = binet( i );
expected = negaFibonacci( i );
if ( v === expected ) {
t.strictEqual( v, expected, 'returns the '+i+'th negaFibonacci number' );

Check warning on line 90 in lib/node_modules/@stdlib/math/base/special/binet/test/test.js

View workflow job for this annotation

GitHub Actions / Lint Changed Files

Unknown word: "nega"
} else {
delta = abs( v - expected );
tol = 12.0 * EPS * abs( expected );
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -90,18 +90,21 @@ static double rand_double( void ) {
* @return elapsed time in seconds
*/
static double benchmark( void ) {
int64_t n[ 100 ];
int64_t k[ 100 ];
double elapsed;
int64_t n;
int64_t k;
double y;
double t;
int i;

for ( i = 0; i < 100; i++ ) {
n[ i ] = (int64_t)round( 500.0 * rand_double() );
k[ i ] = (int64_t)round( 500.0 * rand_double() );
}

t = tic();
for ( i = 0; i < ITERATIONS; i++ ) {
n = (int64_t)round( 500.0 * rand_double() );
k = (int64_t)round( 500.0 * rand_double() );
y = stdlib_base_binomcoef( n, k );
y = stdlib_base_binomcoef( n[ i%100 ], k[ i%100 ] );
if ( y != y ) {
printf( "should not return NaN\n" );
break;
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -43,10 +43,10 @@ tape( 'main export is a function', function test( t ) {

tape( 'the function returns `NaN` if provided `NaN` for any parameter', function test( t ) {
var v = binomcoef( 3, NaN );
t.strictEqual( isnan( v ), true, 'returns NaN' );
t.strictEqual( isnan( v ), true, 'returns expected value' );

v = binomcoef( NaN, 2 );
t.strictEqual( isnan( v ), true, 'returns NaN' );
t.strictEqual( isnan( v ), true, 'returns expected value' );

t.end();
});
Expand Down Expand Up @@ -101,7 +101,7 @@ tape( 'the function returns `NaN` if the `n` value is not an integer', function
];

for ( i = 0; i < values.length; i++ ) {
t.strictEqual( isnan( binomcoef( values[i], 2 ) ), true, 'returns NaN when provided '+values[i] );
t.strictEqual( isnan( binomcoef( values[i], 2 ) ), true, 'returns expected value when provided '+values[i] );
}
t.end();
});
Expand All @@ -122,7 +122,7 @@ tape( 'the function returns `NaN` if the `k` value is not an integer', function
];

for ( i = 0; i < values.length; i++ ) {
t.strictEqual( isnan( binomcoef( 2, values[i] ) ), true, 'returns NaN when provided '+values[i] );
t.strictEqual( isnan( binomcoef( 2, values[i] ) ), true, 'returns expected value when provided '+values[i] );
}
t.end();
});
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -21,7 +21,7 @@
// MODULES //

var bench = require( '@stdlib/bench' );
var randu = require( '@stdlib/random/base/randu' );
var uniform = require( '@stdlib/random/array/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var pkg = require( './../package.json' ).name;
var boxcox = require( './../lib' );
Expand All @@ -34,12 +34,15 @@ bench( pkg, function benchmark( b ) {
var y;
var r;
var i;
var j;

x = uniform( 100, 1.0, 11.0 );
y = uniform( x.length, 1.0, 11.0 );

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
x = ( randu()*10.0 ) + 1.0;
y = ( randu()*10.0 ) + 1.0;
r = boxcox( x, y );
j = i % x.length;
r = boxcox( x[ j ], y[ j ] );
if ( isnan( r ) ) {
b.fail( 'should not return NaN' );
}
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -22,7 +22,7 @@

var resolve = require( 'path' ).resolve;
var bench = require( '@stdlib/bench' );
var randu = require( '@stdlib/random/base/randu' );
var uniform = require( '@stdlib/random/array/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var tryRequire = require( '@stdlib/utils/try-require' );
var pkg = require( './../package.json' ).name;
Expand All @@ -43,12 +43,15 @@ bench( pkg+'::native', opts, function benchmark( b ) {
var y;
var r;
var i;
var j;

x = uniform( 100, 1.0, 11.0 );
y = uniform( x.length, 1.0, 11.0 );

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
x = ( randu() * 10.0 ) + 1.0;
y = ( randu() * 10.0 ) + 1.0;
r = boxcox( x, y );
j = i % x.length;
r = boxcox( x[ j ], y[ j ] );
if ( isnan( r ) ) {
b.fail( 'should not return NaN' );
}
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -90,18 +90,21 @@ static double rand_double( void ) {
* @return elapsed time in seconds
*/
static double benchmark( void ) {
double x[ 100 ];
double y[ 100 ];
double elapsed;
double x;
double y;
double r;
double t;
int i;

for ( i = 0; i < 100; i++ ) {
x[ i ] = ( rand_double() * 10.0 ) + 1.0;
y[ i ] = ( rand_double() * 10.0 ) + 1.0;
}

t = tic();
for ( i = 0; i < ITERATIONS; i++ ) {
x = ( ( rand_double() * 10.0 ) + 1.0 );
y = ( ( rand_double() * 10.0 ) + 1.0 );
r = stdlib_base_boxcox( x, y );
r = stdlib_base_boxcox( x[ i%100 ], y[ i%100 ] );
if ( r != r ) {
printf( "should not return NaN\n" );
break;
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -49,13 +49,13 @@ tape( 'the function returns `NaN` if provided `NaN`', function test( t ) {
var b;

b = boxcox( NaN, 1.0 );
t.equal( isnan( b ), true, 'returns NaN' );
t.equal( isnan( b ), true, 'returns expected value' );

b = boxcox( 1.0, NaN );
t.equal( isnan( b ), true, 'returns NaN' );
t.equal( isnan( b ), true, 'returns expected value' );

b = boxcox( NaN, NaN );
t.equal( isnan( b ), true, 'returns NaN' );
t.equal( isnan( b ), true, 'returns expected value' );

t.end();
});
Expand Down Expand Up @@ -87,7 +87,7 @@ tape( 'the function returns `NaN` if `x` is negative', function test( t ) {
x = -1.0 * ( (randu()*100.0) + 1.0 );
y = randu() * 10.0;
b = boxcox( x, y );
t.equal( isnan( b ), true, 'returns NaN' );
t.equal( isnan( b ), true, 'returns expected value' );
}
t.end();
});
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -58,13 +58,13 @@ tape( 'the function returns `NaN` if provided `NaN`', opts, function test( t ) {
var b;

b = boxcox( NaN, 1.0 );
t.equal( isnan( b ), true, 'returns NaN' );
t.equal( isnan( b ), true, 'returns expected value' );

b = boxcox( 1.0, NaN );
t.equal( isnan( b ), true, 'returns NaN' );
t.equal( isnan( b ), true, 'returns expected value' );

b = boxcox( NaN, NaN );
t.equal( isnan( b ), true, 'returns NaN' );
t.equal( isnan( b ), true, 'returns expected value' );

t.end();
});
Expand Down Expand Up @@ -96,7 +96,7 @@ tape( 'the function returns `NaN` if `x` is negative', opts, function test( t )
x = -1.0 * ( (randu()*100.0) + 1.0 );
y = randu() * 10.0;
b = boxcox( x, y );
t.equal( isnan( b ), true, 'returns NaN' );
t.equal( isnan( b ), true, 'returns expected value' );
}
t.end();
});
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -21,7 +21,7 @@
// MODULES //

var bench = require( '@stdlib/bench' );
var randu = require( '@stdlib/random/base/randu' );
var uniform = require( '@stdlib/random/array/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var pkg = require( './../package.json' ).name;
var boxcox1p = require( './../lib' );
Expand All @@ -34,12 +34,15 @@ bench( pkg, function benchmark( b ) {
var y;
var r;
var i;
var j;

x = uniform( 100, 0.0, 10.0 );
y = uniform( x.length, 0.0, 10.0 );

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
x = randu() * 10.0;
y = randu() * 10.0;
r = boxcox1p( x, y );
j = i % x.length;
r = boxcox1p( x[ j ], y[ j ] );
if ( isnan( r ) ) {
b.fail( 'should not return NaN' );
}
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -22,7 +22,7 @@

var resolve = require( 'path' ).resolve;
var bench = require( '@stdlib/bench' );
var randu = require( '@stdlib/random/base/randu' );
var uniform = require( '@stdlib/random/array/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var tryRequire = require( '@stdlib/utils/try-require' );
var pkg = require( './../package.json' ).name;
Expand All @@ -43,12 +43,15 @@ bench( pkg+'::native', opts, function benchmark( b ) {
var y;
var r;
var i;
var j;

x = uniform( 100, 0.0, 10.0 );
y = uniform( x.length, 0.0, 10.0 );

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
x = randu() * 10.0;
y = randu() * 10.0;
r = boxcox1p( x, y );
j = i % x.length;
r = boxcox1p( x[ j ], y[ j ] );
if ( isnan( r ) ) {
b.fail( 'should not return NaN' );
}
Expand Down
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