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test: migrate stats/base/dists/gamma/pdf to ULP-based assertions #14206

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Merged
kgryte merged 1 commit into from
Aug 12, 2026
+12 −87
Merged

test: migrate stats/base/dists/gamma/pdf to ULP-based assertions #14206

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33 changes: 4 additions & 29 deletions lib/node_modules/@stdlib/stats/base/dists/gamma/pdf/test/test.factory.js
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Original file line number Diff line number Diff line change
Expand Up @@ -21,11 +21,10 @@
// MODULES //

var tape = require( 'tape' );
var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var abs = require( '@stdlib/math/base/special/abs' );
var PINF = require( '@stdlib/constants/float64/pinf' );
var NINF = require( '@stdlib/constants/float64/ninf' );
var EPS = require( '@stdlib/constants/float64/eps' );
var factory = require( './../lib/factory.js' );


Expand Down Expand Up @@ -199,10 +198,8 @@ tape( 'if `alpha` equals `0`, the created function evaluates a degenerate distri
tape( 'the created function evaluates the pdf for `x` given large `alpha` and `beta`', function test( t ) {
var expected;
var alpha;
var delta;
var beta;
var pdf;
var tol;
var x;
var y;
var i;
Expand All @@ -214,24 +211,16 @@ tape( 'the created function evaluates the pdf for `x` given large `alpha` and `b
for ( i = 0; i < x.length; i++ ) {
pdf = factory( alpha[i], beta[i] );
y = pdf( x[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', alpha: '+alpha[i]+', beta: '+beta[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 170.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. alpha: '+alpha[i]+'. beta: '+beta[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 275 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the created function evaluates the pdf for `x` given a large shape parameter `alpha`', function test( t ) {
var expected;
var alpha;
var delta;
var beta;
var pdf;
var tol;
var x;
var y;
var i;
Expand All @@ -243,24 +232,16 @@ tape( 'the created function evaluates the pdf for `x` given a large shape parame
for ( i = 0; i < x.length; i++ ) {
pdf = factory( alpha[i], beta[i] );
y = pdf( x[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', alpha: '+alpha[i]+', beta: '+beta[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 140.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. alpha: '+alpha[i]+'. beta: '+beta[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 168 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the created function evaluates the pdf for `x` given a large rate parameter `beta`', function test( t ) {
var expected;
var alpha;
var delta;
var beta;
var pdf;
var tol;
var x;
var y;
var i;
Expand All @@ -272,13 +253,7 @@ tape( 'the created function evaluates the pdf for `x` given a large rate paramet
for ( i = 0; i < x.length; i++ ) {
pdf = factory( alpha[i], beta[i] );
y = pdf( x[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', alpha: '+alpha[i]+', beta: '+beta[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 120.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. alpha: '+alpha[i]+'. beta: '+beta[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 208 ), true, 'returns expected value' );
}
t.end();
});
33 changes: 4 additions & 29 deletions lib/node_modules/@stdlib/stats/base/dists/gamma/pdf/test/test.native.js
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Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -22,11 +22,10 @@

var resolve = require( 'path' ).resolve;
var tape = require( 'tape' );
var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var abs = require( '@stdlib/math/base/special/abs' );
var PINF = require( '@stdlib/constants/float64/pinf' );
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 @@ -153,9 +152,7 @@ tape( 'if `alpha` equals `0`, the function evaluates a degenerate distribution c
tape( 'the function evaluates the pdf for `x` given large `alpha` and `beta`', opts, function test( t ) {
var expected;
var alpha;
var delta;
var beta;
var tol;
var i;
var x;
var y;
Expand All @@ -166,23 +163,15 @@ tape( 'the function evaluates the pdf for `x` given large `alpha` and `beta`', o
beta = bothLarge.beta;
for ( i = 0; i < x.length; i++ ) {
y = pdf( x[i], alpha[i], beta[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', alpha: '+alpha[i]+', beta: '+beta[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 170.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. alpha: '+alpha[i]+'. beta: '+beta[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 275 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function evaluates the pdf for `x` given large shape parameter `alpha`', opts, function test( t ) {
var expected;
var alpha;
var delta;
var beta;
var tol;
var i;
var x;
var y;
Expand All @@ -193,23 +182,15 @@ tape( 'the function evaluates the pdf for `x` given large shape parameter `alpha
beta = largeShape.beta;
for ( i = 0; i < x.length; i++ ) {
y = pdf( x[i], alpha[i], beta[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', alpha: '+alpha[i]+', beta: '+beta[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 140.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. alpha: '+alpha[i]+'. beta: '+beta[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 168 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function evaluates the pdf for `x` given large rate parameter `beta`', opts, function test( t ) {
var expected;
var alpha;
var delta;
var beta;
var tol;
var i;
var x;
var y;
Expand All @@ -220,13 +201,7 @@ tape( 'the function evaluates the pdf for `x` given large rate parameter `beta`'
beta = largeRate.beta;
for ( i = 0; i < x.length; i++ ) {
y = pdf( x[i], alpha[i], beta[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', alpha: '+alpha[i]+', beta: '+beta[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 120.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. alpha: '+alpha[i]+'. beta: '+beta[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 208 ), true, 'returns expected value' );
}
t.end();
});
33 changes: 4 additions & 29 deletions lib/node_modules/@stdlib/stats/base/dists/gamma/pdf/test/test.pdf.js
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -21,11 +21,10 @@
// MODULES //

var tape = require( 'tape' );
var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var abs = require( '@stdlib/math/base/special/abs' );
var PINF = require( '@stdlib/constants/float64/pinf' );
var NINF = require( '@stdlib/constants/float64/ninf' );
var EPS = require( '@stdlib/constants/float64/eps' );
var pdf = require( './../lib' );


Expand Down Expand Up @@ -144,9 +143,7 @@ tape( 'if `alpha` equals `0`, the function evaluates a degenerate distribution c
tape( 'the function evaluates the pdf for `x` given large `alpha` and `beta`', function test( t ) {
var expected;
var alpha;
var delta;
var beta;
var tol;
var i;
var x;
var y;
Expand All @@ -157,23 +154,15 @@ tape( 'the function evaluates the pdf for `x` given large `alpha` and `beta`', f
beta = bothLarge.beta;
for ( i = 0; i < x.length; i++ ) {
y = pdf( x[i], alpha[i], beta[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', alpha: '+alpha[i]+', beta: '+beta[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 170.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. alpha: '+alpha[i]+'. beta: '+beta[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 275 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function evaluates the pdf for `x` given large shape parameter `alpha`', function test( t ) {
var expected;
var alpha;
var delta;
var beta;
var tol;
var i;
var x;
var y;
Expand All @@ -184,23 +173,15 @@ tape( 'the function evaluates the pdf for `x` given large shape parameter `alpha
beta = largeShape.beta;
for ( i = 0; i < x.length; i++ ) {
y = pdf( x[i], alpha[i], beta[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', alpha: '+alpha[i]+', beta: '+beta[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 140.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. alpha: '+alpha[i]+'. beta: '+beta[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 168 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function evaluates the pdf for `x` given large rate parameter `beta`', function test( t ) {
var expected;
var alpha;
var delta;
var beta;
var tol;
var i;
var x;
var y;
Expand All @@ -211,13 +192,7 @@ tape( 'the function evaluates the pdf for `x` given large rate parameter `beta`'
beta = largeRate.beta;
for ( i = 0; i < x.length; i++ ) {
y = pdf( x[i], alpha[i], beta[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', alpha: '+alpha[i]+', beta: '+beta[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 120.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. alpha: '+alpha[i]+'. beta: '+beta[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 208 ), true, 'returns expected value' );
}
t.end();
});