Skip to content

test: migrate math/base/special/log1p to ULP difference testing #13744

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
kgryte merged 2 commits into from
Jul 29, 2026
Merged

test: migrate math/base/special/log1p to ULP difference testing #13744

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
1032c5c
test: migrate `math/base/special/log1p` to ULP difference testing
Arjan-P Jul 29, 2026
075e94d
Apply suggestions from code review
kgryte Jul 29, 2026
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
89 changes: 32 additions & 57 deletions lib/node_modules/@stdlib/math/base/special/log1p/test/test.js
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -23,12 +23,11 @@
var tape = require( 'tape' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var isNegativeZero = require( '@stdlib/math/base/assert/is-negative-zero' );
var abs = require( '@stdlib/math/base/special/abs' );
var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
var ln = require( '@stdlib/math/base/special/ln' );
var incrspace = require( '@stdlib/array/base/incrspace' );
var PINF = require( '@stdlib/constants/float64/pinf' );
var NINF = require( '@stdlib/constants/float64/ninf' );
var EPS = require( '@stdlib/constants/float64/eps' );
var log1p = require( './../lib' );


Expand Down Expand Up @@ -56,9 +55,7 @@ tape( 'main export is a function', function test( t ) {

tape( 'the function agrees with `ln(x+1)` for most `x`', function test( t ) {
var expected;
var delta;
var val;
var tol;
var x;
var y;
var i;
Expand All @@ -68,209 +65,187 @@ tape( 'the function agrees with `ln(x+1)` for most `x`', function test( t ) {
val = x[ i ];
y = log1p( val );
expected = ln( val + 1.0 );
delta = abs( y - expected );
tol = 1.0e-12 * abs( expected );
t.ok( delta <= tol, 'within tolerance. x: ' + val + '. Value: ' + y + '. Expected: ' + expected + '. Tolerance: ' + tol + '.' );
t.strictEqual( isAlmostSameValue( y, expected, 1 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function accurately computes `ln(x+1)` for negative medium numbers', function test( t ) {
var expected;
var delta;
var tol;
var v;
var x;
var i;
var e;

x = mediumNegative.x;
expected = mediumNegative.expected;

for ( i = 0; i < x.length; i++ ) {
v = log1p( x[ i ] );
delta = abs( v - expected[ i ] );
tol = EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: ' + x[ i ] + '. Value: ' + v + '. Expected: ' + expected[ i ] + '. Tolerance: ' + tol + '.' );
e = expected[ i ];
t.strictEqual( isAlmostSameValue( v, e, 1 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function accurately computes `ln(x+1)` for positive medium numbers', function test( t ) {
var expected;
var delta;
var tol;
var v;
var x;
var i;
var e;

x = mediumPositive.x;
expected = mediumPositive.expected;

for ( i = 0; i < x.length; i++ ) {
v = log1p( x[ i ] );
delta = abs( v - expected[ i ] );
tol = EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: ' + x[ i ] + '. Value: ' + v + '. Expected: ' + expected[ i ] + '. Tolerance: ' + tol + '.' );
e = expected[ i ];
t.strictEqual( isAlmostSameValue( v, e, 1 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function accurately computes `ln(x+1)` for negative small numbers', function test( t ) {
var expected;
var delta;
var tol;
var v;
var x;
var i;
var e;

x = smallNegative.x;
expected = smallNegative.expected;

for ( i = 0; i < x.length; i++ ) {
v = log1p( x[ i ] );
delta = abs( v - expected[ i ] );
tol = EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: ' + x[ i ] + '. Value: ' + v + '. Expected: ' + expected[ i ] + '. Tolerance: ' + tol + '.' );
e = expected[ i ];
t.strictEqual( isAlmostSameValue( v, e, 1 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function accurately computes `ln(x+1)` for positive small numbers', function test( t ) {
var expected;
var delta;
var tol;
var v;
var x;
var i;
var e;

x = smallPositive.x;
expected = smallPositive.expected;

for ( i = 0; i < x.length; i++ ) {
v = log1p( x[ i ] );
delta = abs( v - expected[ i ] );
tol = EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: ' + x[ i ] + '. Value: ' + v + '. Expected: ' + expected[ i ] + '. Tolerance: ' + tol + '.' );
e = expected[ i ];
t.strictEqual( isAlmostSameValue( v, e, 1 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function accurately computes `ln(x+1)` for negative tiny numbers', function test( t ) {
var expected;
var delta;
var tol;
var v;
var x;
var i;
var e;

x = tinyNegative.x;
expected = tinyNegative.expected;

for ( i = 0; i < x.length; i++ ) {
v = log1p( x[ i ] );
delta = abs( v - expected[ i ] );
tol = EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: ' + x[ i ] + '. Value: ' + v + '. Expected: ' + expected[ i ] + '. Tolerance: ' + tol + '.' );
e = expected[ i ];
t.strictEqual( isAlmostSameValue( v, e, 1 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function accurately computes `ln(x+1)` for positive tiny numbers', function test( t ) {
var expected;
var delta;
var tol;
var v;
var x;
var i;
var e;

x = tinyPositive.x;
expected = tinyPositive.expected;

for ( i = 0; i < x.length; i++ ) {
v = log1p( x[ i ] );
delta = abs( v - expected[ i ] );
tol = EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: ' + x[ i ] + '. Value: ' + v + '. Expected: ' + expected[ i ] + '. Tolerance: ' + tol + '.' );
e = expected[ i ];
t.strictEqual( isAlmostSameValue( v, e, 1 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function accurately computes `ln(x+1)` for negative large numbers', function test( t ) {
var expected;
var delta;
var tol;
var v;
var x;
var i;
var e;

x = largeNegative.x;
expected = largeNegative.expected;

for ( i = 0; i < x.length; i++ ) {
v = log1p( x[ i ] );
delta = abs( v - expected[ i ] );
tol = EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: ' + x[ i ] + '. Value: ' + v + '. Expected: ' + expected[ i ] + '. Tolerance: ' + tol + '.' );
e = expected[ i ];
t.strictEqual( isAlmostSameValue( v, e, 1 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function accurately computes `ln(x+1)` for positive large numbers', function test( t ) {
var expected;
var delta;
var tol;
var v;
var x;
var i;
var e;

x = largePositive.x;
expected = largePositive.expected;

for ( i = 0; i < x.length; i++ ) {
v = log1p( x[ i ] );
delta = abs( v - expected[ i ] );
tol = EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: ' + x[ i ] + '. Value: ' + v + '. Expected: ' + expected[ i ] + '. Tolerance: ' + tol + '.' );
e = expected[ i ];
t.strictEqual( isAlmostSameValue( v, e, 1 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function accurately computes `ln(x+1)` for positive big numbers', function test( t ) {
var expected;
var delta;
var tol;
var v;
var x;
var i;
var e;

x = bigPositive.x;
expected = bigPositive.expected;

for ( i = 0; i < x.length; i++ ) {
v = log1p( x[ i ] );
delta = abs( v - expected[ i ] );
tol = EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: ' + x[ i ] + '. Value: ' + v + '. Expected: ' + expected[ i ] + '. Tolerance: ' + tol + '.' );
e = expected[ i ];
t.strictEqual( isAlmostSameValue( v, e, 1 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function accurately computes `ln(x+1)` for positive huge numbers', function test( t ) {
var expected;
var delta;
var tol;
var v;
var x;
var i;
var e;

x = hugePositive.x;
expected = hugePositive.expected;

for ( i = 0; i < x.length; i++ ) {
v = log1p( x[ i ] );
delta = abs( v - expected[ i ] );
tol = EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: ' + x[ i ] + '. Value: ' + v + '. Expected: ' + expected[ i ] + '. Tolerance: ' + tol + '.' );
e = expected[ i ];
t.strictEqual( isAlmostSameValue( v, e, 1 ), true, 'returns expected value' );
}
t.end();
});
Expand Down
Loading