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test: migrate math/base/special/boxcox1p to ULP-based assertions #14252

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

test: migrate math/base/special/boxcox1p to ULP-based assertions #14252

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62 changes: 7 additions & 55 deletions lib/node_modules/@stdlib/math/base/special/boxcox1p/test/test.js
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Original file line number Diff line number Diff line change
Expand Up @@ -23,9 +23,9 @@
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 NINF = require( '@stdlib/constants/float64/ninf' );
var EPS = require( '@stdlib/constants/float64/eps' );
var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
var boxcox1p = require( './../lib' );


Expand Down Expand Up @@ -92,8 +92,6 @@ tape( 'the function returns `NaN` if `x` is less than negative one', function te

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 @@ -104,21 +102,13 @@ tape( 'the function computes a one-parameter Box-Cox transformation for positive
y = mediumPositive.y;
for ( i = 0; i < expected.length; i++ ) {
b = boxcox1p( 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 = 17.0 * 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 ], 27 ), 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 @@ -129,21 +119,13 @@ tape( 'the function computes a one-parameter Box-Cox transformation for positive
y = smallPositive.y;
for ( i = 0; i < expected.length; i++ ) {
b = boxcox1p( 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 = 4.0 * 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 ], 4 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function computes a one-parameter Box-Cox transformation for very small numbers', function test( t ) {
var expected;
var delta;
var tol;
var x;
var y;
var b;
Expand All @@ -154,21 +136,13 @@ tape( 'the function computes a one-parameter Box-Cox transformation for very sma
y = verySmall.y;
for ( i = 0; i < expected.length; i++ ) {
b = boxcox1p( 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 ], 0 ), 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 @@ -179,21 +153,13 @@ tape( 'the function computes a one-parameter Box-Cox transformation for tiny num
y = tiny.y;
for ( i = 0; i < expected.length; i++ ) {
b = boxcox1p( 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 ], 0 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function computes a one-parameter Box-Cox transformation for tiny numbers and large lambda', function test( t ) {
var expected;
var delta;
var tol;
var x;
var y;
var b;
Expand All @@ -204,21 +170,13 @@ tape( 'the function computes a one-parameter Box-Cox transformation for tiny num
y = tinyLargeLambda.y;
for ( i = 0; i < expected.length; i++ ) {
b = boxcox1p( 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 = 3.0 * 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 ], 2 ), 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 @@ -229,13 +187,7 @@ tape( 'the function computes a one-parameter Box-Cox transformation for tiny lam
y = tinyLambda.y;
for ( i = 0; i < expected.length; i++ ) {
b = boxcox1p( 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();
});
62 changes: 7 additions & 55 deletions lib/node_modules/@stdlib/math/base/special/boxcox1p/test/test.native.js
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -24,9 +24,9 @@ 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 NINF = require( '@stdlib/constants/float64/ninf' );
var EPS = require( '@stdlib/constants/float64/eps' );
var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
var tryRequire = require( '@stdlib/utils/try-require' );


Expand Down Expand Up @@ -101,8 +101,6 @@ tape( 'the function returns `NaN` if `x` is less than negative one', opts, funct

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 @@ -113,21 +111,13 @@ tape( 'the function computes a one-parameter Box-Cox transformation for positive
y = mediumPositive.y;
for ( i = 0; i < expected.length; i++ ) {
b = boxcox1p( 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 = 17.0 * 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 ], 27 ), 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 @@ -138,21 +128,13 @@ tape( 'the function computes a one-parameter Box-Cox transformation for positive
y = smallPositive.y;
for ( i = 0; i < expected.length; i++ ) {
b = boxcox1p( 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 = 4.0 * 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 ], 4 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function computes a one-parameter Box-Cox transformation for very small numbers', opts, function test( t ) {
var expected;
var delta;
var tol;
var x;
var y;
var b;
Expand All @@ -163,21 +145,13 @@ tape( 'the function computes a one-parameter Box-Cox transformation for very sma
y = verySmall.y;
for ( i = 0; i < expected.length; i++ ) {
b = boxcox1p( 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 ], 0 ), 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 @@ -188,21 +162,13 @@ tape( 'the function computes a one-parameter Box-Cox transformation for tiny num
y = tiny.y;
for ( i = 0; i < expected.length; i++ ) {
b = boxcox1p( 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 ], 0 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function computes a one-parameter Box-Cox transformation for tiny numbers and large lambda', opts, function test( t ) {
var expected;
var delta;
var tol;
var x;
var y;
var b;
Expand All @@ -213,21 +179,13 @@ tape( 'the function computes a one-parameter Box-Cox transformation for tiny num
y = tinyLargeLambda.y;
for ( i = 0; i < expected.length; i++ ) {
b = boxcox1p( 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 = 3.0 * 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 ], 2 ), 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 @@ -238,13 +196,7 @@ tape( 'the function computes a one-parameter Box-Cox transformation for tiny lam
y = tinyLambda.y;
for ( i = 0; i < expected.length; i++ ) {
b = boxcox1p( 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();
});