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test: migrate math/base/special/boxcox to ULP-based testing #14268

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Merged
kgryte merged 1 commit into from
Aug 14, 2026
Merged

test: migrate math/base/special/boxcox to ULP-based testing #14268

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43 changes: 5 additions & 38 deletions lib/node_modules/@stdlib/math/base/special/boxcox/test/test.js
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Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -23,9 +23,8 @@
var tape = require( 'tape' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var randu = require( '@stdlib/random/base/randu' );
var abs = require( '@stdlib/math/base/special/abs' );
var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
var NINF = require( '@stdlib/constants/float64/ninf' );
var EPS = require( '@stdlib/constants/float64/eps' );
var boxcox = require( './../lib' );


Expand Down Expand Up @@ -94,8 +93,6 @@ tape( 'the function returns `NaN` if `x` is negative', function test( t ) {

tape( 'the function computes a one-parameter Box-Cox transformation for positive medium numbers', function test( t ) {
var expected;
var delta;
var tol;
var x;
var y;
var b;
Expand All @@ -106,21 +103,13 @@ tape( 'the function computes a one-parameter Box-Cox transformation for positive
y = mediumPositive.y;
for ( i = 0; i < expected.length; i++ ) {
b = boxcox( x[ i ], y[ i ] );
if ( b === expected[ i ] ) {
t.strictEqual( b, expected[ i ], 'returns '+b+' when provided '+x[i]+' and '+y[i]+'.' );
} else {
delta = abs( expected[ i ] - b );
tol = 16.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. returns '+b+' when provided '+x[i]+' and '+y[i]+'. expected: '+expected[i]+'. delta: '+delta+'. tol: ' +tol+'.' );
}
t.strictEqual( isAlmostSameValue( b, expected[ i ], 22 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function computes a one-parameter Box-Cox transformation for positive small numbers', function test( t ) {
var expected;
var delta;
var tol;
var x;
var y;
var b;
Expand All @@ -131,21 +120,13 @@ tape( 'the function computes a one-parameter Box-Cox transformation for positive
y = smallPositive.y;
for ( i = 0; i < expected.length; i++ ) {
b = boxcox( x[ i ], y[ i ] );
if ( b === expected[ i ] ) {
t.strictEqual( b, expected[ i ], 'returns '+b+' when provided '+x[i]+' and '+y[i]+'.' );
} else {
delta = abs( expected[ i ] - b );
tol = 16.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. returns '+b+' when provided '+x[i]+' and '+y[i]+'. expected: '+expected[i]+'. delta: '+delta+'. tol: ' +tol+'.' );
}
t.strictEqual( isAlmostSameValue( b, expected[ i ], 29 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function computes a one-parameter Box-Cox transformation for tiny numbers', function test( t ) {
var expected;
var delta;
var tol;
var x;
var y;
var b;
Expand All @@ -156,21 +137,13 @@ tape( 'the function computes a one-parameter Box-Cox transformation for tiny num
y = tiny.y;
for ( i = 0; i < expected.length; i++ ) {
b = boxcox( x[ i ], y[ i ] );
if ( b === expected[ i ] ) {
t.strictEqual( b, expected[ i ], 'returns '+b+' when provided '+x[i]+' and '+y[i]+'.' );
} else {
delta = abs( expected[ i ] - b );
tol = 70.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. returns '+b+' when provided '+x[i]+' and '+y[i]+'. expected: '+expected[i]+'. delta: '+delta+'. tol: ' +tol+'.' );
}
t.strictEqual( isAlmostSameValue( b, expected[ i ], 86 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function computes a one-parameter Box-Cox transformation for tiny lambda', function test( t ) {
var expected;
var delta;
var tol;
var x;
var y;
var b;
Expand All @@ -181,13 +154,7 @@ tape( 'the function computes a one-parameter Box-Cox transformation for tiny lam
y = tinyLambda.y;
for ( i = 0; i < expected.length; i++ ) {
b = boxcox( x[ i ], y[ i ] );
if ( b === expected[ i ] ) {
t.strictEqual( b, expected[ i ], 'returns '+b+' when provided '+x[i]+' and '+y[i]+'.' );
} else {
delta = abs( expected[ i ] - b );
tol = 1.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. returns '+b+' when provided '+x[i]+' and '+y[i]+'. expected: '+expected[i]+'. delta: '+delta+'. tol: ' +tol+'.' );
}
t.strictEqual( isAlmostSameValue( b, expected[ i ], 1 ), true, 'returns expected value' );
}
t.end();
});
43 changes: 5 additions & 38 deletions lib/node_modules/@stdlib/math/base/special/boxcox/test/test.native.js
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -24,9 +24,8 @@ var resolve = require( 'path' ).resolve;
var tape = require( 'tape' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var randu = require( '@stdlib/random/base/randu' );
var abs = require( '@stdlib/math/base/special/abs' );
var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
var NINF = require( '@stdlib/constants/float64/ninf' );
var EPS = require( '@stdlib/constants/float64/eps' );
var tryRequire = require( '@stdlib/utils/try-require' );


Expand Down Expand Up @@ -103,8 +102,6 @@ tape( 'the function returns `NaN` if `x` is negative', opts, function test( t )

tape( 'the function computes a one-parameter Box-Cox transformation for positive medium numbers', opts, function test( t ) {
var expected;
var delta;
var tol;
var x;
var y;
var b;
Expand All @@ -115,21 +112,13 @@ tape( 'the function computes a one-parameter Box-Cox transformation for positive
y = mediumPositive.y;
for ( i = 0; i < expected.length; i++ ) {
b = boxcox( x[ i ], y[ i ] );
if ( b === expected[ i ] ) {
t.strictEqual( b, expected[ i ], 'returns '+b+' when provided '+x[i]+' and '+y[i]+'.' );
} else {
delta = abs( expected[ i ] - b );
tol = 16.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. returns '+b+' when provided '+x[i]+' and '+y[i]+'. expected: '+expected[i]+'. delta: '+delta+'. tol: ' +tol+'.' );
}
t.strictEqual( isAlmostSameValue( b, expected[ i ], 22 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function computes a one-parameter Box-Cox transformation for positive small numbers', opts, function test( t ) {
var expected;
var delta;
var tol;
var x;
var y;
var b;
Expand All @@ -140,21 +129,13 @@ tape( 'the function computes a one-parameter Box-Cox transformation for positive
y = smallPositive.y;
for ( i = 0; i < expected.length; i++ ) {
b = boxcox( x[ i ], y[ i ] );
if ( b === expected[ i ] ) {
t.strictEqual( b, expected[ i ], 'returns '+b+' when provided '+x[i]+' and '+y[i]+'.' );
} else {
delta = abs( expected[ i ] - b );
tol = 16.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. returns '+b+' when provided '+x[i]+' and '+y[i]+'. expected: '+expected[i]+'. delta: '+delta+'. tol: ' +tol+'.' );
}
t.strictEqual( isAlmostSameValue( b, expected[ i ], 29 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function computes a one-parameter Box-Cox transformation for tiny numbers', opts, function test( t ) {
var expected;
var delta;
var tol;
var x;
var y;
var b;
Expand All @@ -165,21 +146,13 @@ tape( 'the function computes a one-parameter Box-Cox transformation for tiny num
y = tiny.y;
for ( i = 0; i < expected.length; i++ ) {
b = boxcox( x[ i ], y[ i ] );
if ( b === expected[ i ] ) {
t.strictEqual( b, expected[ i ], 'returns '+b+' when provided '+x[i]+' and '+y[i]+'.' );
} else {
delta = abs( expected[ i ] - b );
tol = 70.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. returns '+b+' when provided '+x[i]+' and '+y[i]+'. expected: '+expected[i]+'. delta: '+delta+'. tol: ' +tol+'.' );
}
t.strictEqual( isAlmostSameValue( b, expected[ i ], 86 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function computes a one-parameter Box-Cox transformation for tiny lambda', opts, function test( t ) {
var expected;
var delta;
var tol;
var x;
var y;
var b;
Expand All @@ -190,13 +163,7 @@ tape( 'the function computes a one-parameter Box-Cox transformation for tiny lam
y = tinyLambda.y;
for ( i = 0; i < expected.length; i++ ) {
b = boxcox( x[ i ], y[ i ] );
if ( b === expected[ i ] ) {
t.strictEqual( b, expected[ i ], 'returns '+b+' when provided '+x[i]+' and '+y[i]+'.' );
} else {
delta = abs( expected[ i ] - b );
tol = 1.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. returns '+b+' when provided '+x[i]+' and '+y[i]+'. expected: '+expected[i]+'. delta: '+delta+'. tol: ' +tol+'.' );
}
t.strictEqual( isAlmostSameValue( b, expected[ i ], 1 ), true, 'returns expected value' );
}
t.end();
});