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Mar 29, 2025
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bench: update random value generation #6381

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30 changes: 16 additions & 14 deletions lib/node_modules/@stdlib/math/base/special/minmaxabs/benchmark/benchmark.js
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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 isArray = require( '@stdlib/assert/is-array' );
var minabs = require( '@stdlib/math/base/special/minabs' );
var maxabs = require( '@stdlib/math/base/special/maxabs' );
Expand All @@ -37,11 +37,12 @@ bench( pkg, function benchmark( b ) {
var z;
var i;

x = uniform( 100, -500.0, 500.0 );
y = uniform( 100, -500.0, 500.0 );

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
x = ( randu()*1000.0 ) - 500.0;
y = ( randu()*1000.0 ) - 500.0;
z = minmaxabs( x, y );
z = minmaxabs( x[ i%x.length ], y[ i%y.length ] );
if ( z.length !== 2 ) {
b.fail( 'should have expected length' );
}
Expand All @@ -61,13 +62,13 @@ bench( pkg+':assign', function benchmark( b ) {
var z;
var i;

x = uniform( 100, -500.0, 500.0 );
y = uniform( 100, -500.0, 500.0 );
out = [ 0.0, 0.0 ];

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
x = ( randu()*1000.0 ) - 500.0;
y = ( randu()*1000.0 ) - 500.0;
z = minmaxabs.assign( x, y, out, 1, 0 );
z = minmaxabs.assign( x[ i%x.length ], y[ i%y.length ], out, 1, 0 );
if ( z.length !== 2 ) {
b.fail( 'should have expected length' );
}
Expand All @@ -86,11 +87,12 @@ bench( pkg+'::minabs,maxabs', function benchmark( b ) {
var z;
var i;

x = uniform( 100, -500.0, 500.0 );
y = uniform( 100, -500.0, 500.0 );

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
x = ( randu()*1000.0 ) - 500.0;
y = ( randu()*1000.0 ) - 500.0;
z = [ minabs( x, y ), maxabs( x, y ) ];
z = [ minabs( x[ i%x.length ], y[ i%y.length ] ), maxabs( x, y ) ];
if ( z.length !== 2 ) {
b.fail( 'should have expected length' );
}
Expand All @@ -109,14 +111,14 @@ bench( pkg+'::minabs,maxabs,memory_reuse', function benchmark( b ) {
var z;
var i;

x = uniform( 100, -500.0, 500.0 );
y = uniform( 100, -500.0, 500.0 );
z = [ 0.0, 0.0 ];

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
x = ( randu()*1000.0 ) - 500.0;
y = ( randu()*1000.0 ) - 500.0;
z[ 0 ] = minabs( x, y );
z[ 1 ] = maxabs( x, y );
z[ 0 ] = minabs( x[ i%x.length ], y[ i%y.length ] );
z[ 1 ] = maxabs( x[ i%x.length ], y[ i%y.length ] );
if ( z.length !== 2 ) {
b.fail( 'should have expected length' );
}
Expand Down
28 changes: 14 additions & 14 deletions lib/node_modules/@stdlib/math/base/special/minmaxabs/test/test.assign.js
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Original file line number Diff line number Diff line change
Expand Up @@ -44,20 +44,20 @@ tape( 'the function returns `NaN` for both the minimum and maximum absolute valu
out = new Float64Array( 2 );
v = minmaxabs( NaN, 3.14, out, 1, 0 );
t.strictEqual( v, out, 'returns output array' );
t.strictEqual( isnan( v[ 0 ] ), true, 'returns NaN' );
t.strictEqual( isnan( v[ 1 ] ), true, 'returns NaN' );
t.strictEqual( isnan( v[ 0 ] ), true, 'returns expected value' );
t.strictEqual( isnan( v[ 1 ] ), true, 'returns expected value' );

out = new Float64Array( 2 );
v = minmaxabs( 3.14, NaN, out, 1, 0 );
t.strictEqual( v, out, 'returns output array' );
t.strictEqual( isnan( v[ 0 ] ), true, 'returns NaN' );
t.strictEqual( isnan( v[ 1 ] ), true, 'returns NaN' );
t.strictEqual( isnan( v[ 0 ] ), true, 'returns expected value' );
t.strictEqual( isnan( v[ 1 ] ), true, 'returns expected value' );

out = new Float64Array( 2 );
v = minmaxabs( NaN, NaN, out, 1, 0 );
t.strictEqual( v, out, 'returns output array' );
t.strictEqual( isnan( v[ 0 ] ), true, 'returns NaN' );
t.strictEqual( isnan( v[ 1 ] ), true, 'returns NaN' );
t.strictEqual( isnan( v[ 0 ] ), true, 'returns expected value' );
t.strictEqual( isnan( v[ 1 ] ), true, 'returns expected value' );

t.end();
});
Expand Down Expand Up @@ -107,26 +107,26 @@ tape( 'the function returns correctly signed zeros', function test( t ) {
out = new Float64Array( 2 );
v = minmaxabs( +0.0, -0.0, out, 1, 0 );
t.strictEqual( v, out, 'returns output array' );
t.strictEqual( isPositiveZero( v[ 0 ] ), true, 'returns +0' );
t.strictEqual( isPositiveZero( v[ 1 ] ), true, 'returns +0' );
t.strictEqual( isPositiveZero( v[ 0 ] ), true, 'returns expected value' );
t.strictEqual( isPositiveZero( v[ 1 ] ), true, 'returns expected value' );

out = new Float64Array( 2 );
v = minmaxabs( -0.0, +0.0, out, 1, 0 );
t.strictEqual( v, out, 'returns output array' );
t.strictEqual( isPositiveZero( v[ 0 ] ), true, 'returns +0' );
t.strictEqual( isPositiveZero( v[ 1 ] ), true, 'returns +0' );
t.strictEqual( isPositiveZero( v[ 0 ] ), true, 'returns expected value' );
t.strictEqual( isPositiveZero( v[ 1 ] ), true, 'returns expected value' );

out = new Float64Array( 2 );
v = minmaxabs( -0.0, -0.0, out, 1, 0 );
t.strictEqual( v, out, 'returns output array' );
t.strictEqual( isPositiveZero( v[ 0 ] ), true, 'returns +0' );
t.strictEqual( isPositiveZero( v[ 1 ] ), true, 'returns +0' );
t.strictEqual( isPositiveZero( v[ 0 ] ), true, 'returns expected value' );
t.strictEqual( isPositiveZero( v[ 1 ] ), true, 'returns expected value' );

out = new Float64Array( 2 );
v = minmaxabs( +0.0, +0.0, out, 1, 0 );
t.strictEqual( v, out, 'returns output array' );
t.strictEqual( isPositiveZero( v[ 0 ] ), true, 'returns +0' );
t.strictEqual( isPositiveZero( v[ 1 ] ), true, 'returns +0' );
t.strictEqual( isPositiveZero( v[ 0 ] ), true, 'returns expected value' );
t.strictEqual( isPositiveZero( v[ 1 ] ), true, 'returns expected value' );

t.end();
});
Expand Down
28 changes: 14 additions & 14 deletions lib/node_modules/@stdlib/math/base/special/minmaxabs/test/test.main.js
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Original file line number Diff line number Diff line change
Expand Up @@ -40,16 +40,16 @@ tape( 'the function returns `NaN` for both the minimum and maximum absolute valu
var v;

v = minmaxabs( NaN, 3.14 );
t.strictEqual( isnan( v[ 0 ] ), true, 'returns NaN' );
t.strictEqual( isnan( v[ 1 ] ), true, 'returns NaN' );
t.strictEqual( isnan( v[ 0 ] ), true, 'returns expected value' );
t.strictEqual( isnan( v[ 1 ] ), true, 'returns expected value' );

v = minmaxabs( 3.14, NaN );
t.strictEqual( isnan( v[ 0 ] ), true, 'returns NaN' );
t.strictEqual( isnan( v[ 1 ] ), true, 'returns NaN' );
t.strictEqual( isnan( v[ 0 ] ), true, 'returns expected value' );
t.strictEqual( isnan( v[ 1 ] ), true, 'returns expected value' );

v = minmaxabs( NaN, NaN );
t.strictEqual( isnan( v[ 0 ] ), true, 'returns NaN' );
t.strictEqual( isnan( v[ 1 ] ), true, 'returns NaN' );
t.strictEqual( isnan( v[ 0 ] ), true, 'returns expected value' );
t.strictEqual( isnan( v[ 1 ] ), true, 'returns expected value' );

t.end();
});
Expand Down Expand Up @@ -86,20 +86,20 @@ tape( 'the function returns correctly signed zeros', function test( t ) {
var v;

v = minmaxabs( +0.0, -0.0 );
t.strictEqual( isPositiveZero( v[ 0 ] ), true, 'returns +0' );
t.strictEqual( isPositiveZero( v[ 1 ] ), true, 'returns +0' );
t.strictEqual( isPositiveZero( v[ 0 ] ), true, 'returns expected value' );
t.strictEqual( isPositiveZero( v[ 1 ] ), true, 'returns expected value' );

v = minmaxabs( -0.0, +0.0 );
t.strictEqual( isPositiveZero( v[ 0 ] ), true, 'returns +0' );
t.strictEqual( isPositiveZero( v[ 1 ] ), true, 'returns +0' );
t.strictEqual( isPositiveZero( v[ 0 ] ), true, 'returns expected value' );
t.strictEqual( isPositiveZero( v[ 1 ] ), true, 'returns expected value' );

v = minmaxabs( -0.0, -0.0 );
t.strictEqual( isPositiveZero( v[ 0 ] ), true, 'returns +0' );
t.strictEqual( isPositiveZero( v[ 1 ] ), true, 'returns +0' );
t.strictEqual( isPositiveZero( v[ 0 ] ), true, 'returns expected value' );
t.strictEqual( isPositiveZero( v[ 1 ] ), true, 'returns expected value' );

v = minmaxabs( +0.0, +0.0 );
t.strictEqual( isPositiveZero( v[ 0 ] ), true, 'returns +0' );
t.strictEqual( isPositiveZero( v[ 1 ] ), true, 'returns +0' );
t.strictEqual( isPositiveZero( v[ 0 ] ), true, 'returns expected value' );
t.strictEqual( isPositiveZero( v[ 1 ] ), true, 'returns expected value' );

t.end();
});
Expand Down
30 changes: 16 additions & 14 deletions lib/node_modules/@stdlib/math/base/special/minmaxabsn/benchmark/benchmark.js
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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 isArray = require( '@stdlib/assert/is-array' );
var minabs = require( '@stdlib/math/base/special/minabs' );
var maxabs = require( '@stdlib/math/base/special/maxabs' );
Expand All @@ -37,11 +37,12 @@ bench( pkg, function benchmark( b ) {
var z;
var i;

x = uniform( 100, -500.0, 500.0 );
y = uniform( 100, -500.0, 500.0 );

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
x = ( randu()*1000.0 ) - 500.0;
y = ( randu()*1000.0 ) - 500.0;
z = minmaxabsn( x, y );
z = minmaxabsn( x[ i%x.length ], y[ i%y.length ] );
if ( z.length !== 2 ) {
b.fail( 'should have expected length' );
}
Expand All @@ -61,13 +62,13 @@ bench( pkg+':assign', function benchmark( b ) {
var z;
var i;

x = uniform( 100, -500.0, 500.0 );
y = uniform( 100, -500.0, 500.0 );
out = [ 0.0, 0.0 ];

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
x = ( randu()*1000.0 ) - 500.0;
y = ( randu()*1000.0 ) - 500.0;
z = minmaxabsn.assign( x, y, out, 1, 0 );
z = minmaxabsn.assign( x[ i%x.length ], y[ i%y.length ], out, 1, 0 );
if ( z.length !== 2 ) {
b.fail( 'should have expected length' );
}
Expand All @@ -86,11 +87,12 @@ bench( pkg+'::minabs,maxabs', function benchmark( b ) {
var z;
var i;

x = uniform( 100, -500.0, 500.0 );
y = uniform( 100, -500.0, 500.0 );

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
x = ( randu()*1000.0 ) - 500.0;
y = ( randu()*1000.0 ) - 500.0;
z = [ minabs( x, y ), maxabs( x, y ) ];
z = [ minabs( x, y ), maxabs( x[ i%x.length ], y[ i%y.length ] ) ];
if ( z.length !== 2 ) {
b.fail( 'should have expected length' );
}
Expand All @@ -109,14 +111,14 @@ bench( pkg+'::minabs,maxabs,memory_reuse', function benchmark( b ) {
var z;
var i;

x = uniform( 100, -500.0, 500.0 );
y = uniform( 100, -500.0, 500.0 );
z = [ 0.0, 0.0 ];

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
x = ( randu()*1000.0 ) - 500.0;
y = ( randu()*1000.0 ) - 500.0;
z[ 0 ] = minabs( x, y );
z[ 1 ] = maxabs( x, y );
z[ 0 ] = minabs( x[ i%x.length ], y[ i%y.length ] );
z[ 1 ] = maxabs( x[ i%x.length ], y[ i%y.length ] );
if ( z.length !== 2 ) {
b.fail( 'should have expected length' );
}
Expand Down
56 changes: 28 additions & 28 deletions lib/node_modules/@stdlib/math/base/special/minmaxabsn/test/test.assign.js
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Original file line number Diff line number Diff line change
Expand Up @@ -44,44 +44,44 @@ tape( 'the function returns `NaN` for both the minimum and maximum absolute valu
out = new Float64Array( 2 );
v = minmaxabsn( NaN, 3.14, out, 1, 0 );
t.strictEqual( v, out, 'returns output array' );
t.strictEqual( isnan( v[ 0 ] ), true, 'returns NaN' );
t.strictEqual( isnan( v[ 1 ] ), true, 'returns NaN' );
t.strictEqual( isnan( v[ 0 ] ), true, 'returns expected value' );
t.strictEqual( isnan( v[ 1 ] ), true, 'returns expected value' );

out = new Float64Array( 2 );
v = minmaxabsn( 3.14, NaN, out, 1, 0 );
t.strictEqual( v, out, 'returns output array' );
t.strictEqual( isnan( v[ 0 ] ), true, 'returns NaN' );
t.strictEqual( isnan( v[ 1 ] ), true, 'returns NaN' );
t.strictEqual( isnan( v[ 0 ] ), true, 'returns expected value' );
t.strictEqual( isnan( v[ 1 ] ), true, 'returns expected value' );

out = new Float64Array( 2 );
v = minmaxabsn( NaN, NaN, out, 1, 0 );
t.strictEqual( v, out, 'returns output array' );
t.strictEqual( isnan( v[ 0 ] ), true, 'returns NaN' );
t.strictEqual( isnan( v[ 1 ] ), true, 'returns NaN' );
t.strictEqual( isnan( v[ 0 ] ), true, 'returns expected value' );
t.strictEqual( isnan( v[ 1 ] ), true, 'returns expected value' );

out = new Float64Array( 2 );
v = minmaxabsn( NaN, out, 1, 0 );
t.strictEqual( v, out, 'returns output array' );
t.strictEqual( isnan( v[ 0 ] ), true, 'returns NaN' );
t.strictEqual( isnan( v[ 1 ] ), true, 'returns NaN' );
t.strictEqual( isnan( v[ 0 ] ), true, 'returns expected value' );
t.strictEqual( isnan( v[ 1 ] ), true, 'returns expected value' );

out = new Float64Array( 2 );
v = minmaxabsn( 3.14, 4.2, NaN, out, 1, 0 );
t.strictEqual( v, out, 'returns output array' );
t.strictEqual( isnan( v[ 0 ] ), true, 'returns NaN' );
t.strictEqual( isnan( v[ 1 ] ), true, 'returns NaN' );
t.strictEqual( isnan( v[ 0 ] ), true, 'returns expected value' );
t.strictEqual( isnan( v[ 1 ] ), true, 'returns expected value' );

out = new Float64Array( 2 );
v = minmaxabsn( NaN, 4.2, NaN, out, 1, 0 );
t.strictEqual( v, out, 'returns output array' );
t.strictEqual( isnan( v[ 0 ] ), true, 'returns NaN' );
t.strictEqual( isnan( v[ 1 ] ), true, 'returns NaN' );
t.strictEqual( isnan( v[ 0 ] ), true, 'returns expected value' );
t.strictEqual( isnan( v[ 1 ] ), true, 'returns expected value' );

out = new Float64Array( 2 );
v = minmaxabsn( NaN, NaN, NaN, out, 1, 0 );
t.strictEqual( v, out, 'returns output array' );
t.strictEqual( isnan( v[ 0 ] ), true, 'returns NaN' );
t.strictEqual( isnan( v[ 1 ] ), true, 'returns NaN' );
t.strictEqual( isnan( v[ 0 ] ), true, 'returns expected value' );
t.strictEqual( isnan( v[ 1 ] ), true, 'returns expected value' );

t.end();
});
Expand Down Expand Up @@ -155,44 +155,44 @@ tape( 'the function returns correctly signed zeros', function test( t ) {
out = new Float64Array( 2 );
v = minmaxabsn( +0.0, -0.0, out, 1, 0 );
t.strictEqual( v, out, 'returns output array' );
t.strictEqual( isPositiveZero( v[ 0 ] ), true, 'returns +0' );
t.strictEqual( isPositiveZero( v[ 1 ] ), true, 'returns +0' );
t.strictEqual( isPositiveZero( v[ 0 ] ), true, 'returns expected value' );
t.strictEqual( isPositiveZero( v[ 1 ] ), true, 'returns expected value' );

out = new Float64Array( 2 );
v = minmaxabsn( -0.0, +0.0, out, 1, 0 );
t.strictEqual( v, out, 'returns output array' );
t.strictEqual( isPositiveZero( v[ 0 ] ), true, 'returns +0' );
t.strictEqual( isPositiveZero( v[ 1 ] ), true, 'returns +0' );
t.strictEqual( isPositiveZero( v[ 0 ] ), true, 'returns expected value' );
t.strictEqual( isPositiveZero( v[ 1 ] ), true, 'returns expected value' );

out = new Float64Array( 2 );
v = minmaxabsn( -0.0, -0.0, out, 1, 0 );
t.strictEqual( v, out, 'returns output array' );
t.strictEqual( isPositiveZero( v[ 0 ] ), true, 'returns +0' );
t.strictEqual( isPositiveZero( v[ 1 ] ), true, 'returns +0' );
t.strictEqual( isPositiveZero( v[ 0 ] ), true, 'returns expected value' );
t.strictEqual( isPositiveZero( v[ 1 ] ), true, 'returns expected value' );

out = new Float64Array( 2 );
v = minmaxabsn( +0.0, +0.0, out, 1, 0 );
t.strictEqual( v, out, 'returns output array' );
t.strictEqual( isPositiveZero( v[ 0 ] ), true, 'returns +0' );
t.strictEqual( isPositiveZero( v[ 1 ] ), true, 'returns +0' );
t.strictEqual( isPositiveZero( v[ 0 ] ), true, 'returns expected value' );
t.strictEqual( isPositiveZero( v[ 1 ] ), true, 'returns expected value' );

out = new Float64Array( 2 );
v = minmaxabsn( -0.0, out, 1, 0 );
t.strictEqual( v, out, 'returns output array' );
t.strictEqual( isPositiveZero( v[ 0 ] ), true, 'returns +0' );
t.strictEqual( isPositiveZero( v[ 1 ] ), true, 'returns +0' );
t.strictEqual( isPositiveZero( v[ 0 ] ), true, 'returns expected value' );
t.strictEqual( isPositiveZero( v[ 1 ] ), true, 'returns expected value' );

out = new Float64Array( 2 );
v = minmaxabsn( +0.0, out, 1, 0 );
t.strictEqual( v, out, 'returns output array' );
t.strictEqual( isPositiveZero( v[ 0 ] ), true, 'returns +0' );
t.strictEqual( isPositiveZero( v[ 1 ] ), true, 'returns +0' );
t.strictEqual( isPositiveZero( v[ 0 ] ), true, 'returns expected value' );
t.strictEqual( isPositiveZero( v[ 1 ] ), true, 'returns expected value' );

out = new Float64Array( 2 );
v = minmaxabsn( +0.0, -0.0, +0.0, out, 1, 0 );
t.strictEqual( v, out, 'returns output array' );
t.strictEqual( isPositiveZero( v[ 0 ] ), true, 'returns +0' );
t.strictEqual( isPositiveZero( v[ 1 ] ), true, 'returns +0' );
t.strictEqual( isPositiveZero( v[ 0 ] ), true, 'returns expected value' );
t.strictEqual( isPositiveZero( v[ 1 ] ), true, 'returns expected value' );

t.end();
});
Expand Down
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