From 9f4ef316d351769abc0a159cce83eeaeb3812f0e Mon Sep 17 00:00:00 2001 From: Athan Reines Date: Wed, 26 Aug 2026 22:20:07 +0000 Subject: [PATCH] test: migrate `stats/base/dists/laplace/logpdf` to ULP-based assertions Migrate the test suites for `stats/base/dists/laplace/logpdf` from relative tolerance (EPS-based) assertions to ULP difference assertions via `@stdlib/assert/is-almost-same-value`. The measured maximum ULP difference over the full fixture set is zero for both the JavaScript and the native implementations, and thus the minimum required ULP value is zero. Ref: https://github.com/stdlib-js/stdlib/issues/11352 --- .../dists/laplace/logpdf/test/test.factory.js | 33 +++---------------- .../dists/laplace/logpdf/test/test.logpdf.js | 33 +++---------------- .../dists/laplace/logpdf/test/test.native.js | 33 +++---------------- 3 files changed, 12 insertions(+), 87 deletions(-) diff --git a/lib/node_modules/@stdlib/stats/base/dists/laplace/logpdf/test/test.factory.js b/lib/node_modules/@stdlib/stats/base/dists/laplace/logpdf/test/test.factory.js index 5dc58d4a65a1..da92ca604b26 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/laplace/logpdf/test/test.factory.js +++ b/lib/node_modules/@stdlib/stats/base/dists/laplace/logpdf/test/test.factory.js @@ -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' ); @@ -141,8 +140,6 @@ tape( 'if provided a nonpositive `b`, the created function always returns `NaN`' tape( 'the created function evaluates the logpdf for `x` given positive `mu`', function test( t ) { var expected; var logpdf; - var delta; - var tol; var mu; var b; var i; @@ -157,13 +154,7 @@ tape( 'the created function evaluates the logpdf for `x` given positive `mu`', f logpdf = factory( mu[i], b[i] ); y = logpdf( x[i] ); if ( expected[i] !== null ) { - if ( y === expected[i] ) { - t.strictEqual( y, expected[i], 'x: '+x[i]+', mu: '+mu[i]+', b: '+b[i]+', y: '+y+', expected: '+expected[i] ); - } else { - delta = abs( y - expected[ i ] ); - tol = 1.0 * EPS * abs( expected[ i ] ); - t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. b: '+b[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' ); - } + t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' ); } } t.end(); @@ -172,8 +163,6 @@ tape( 'the created function evaluates the logpdf for `x` given positive `mu`', f tape( 'the created function evaluates the logpdf for `x` given negative `mu`', function test( t ) { var expected; var logpdf; - var delta; - var tol; var mu; var b; var i; @@ -188,13 +177,7 @@ tape( 'the created function evaluates the logpdf for `x` given negative `mu`', f logpdf = factory( mu[i], b[i] ); y = logpdf( x[i] ); if ( expected[i] !== null ) { - if ( y === expected[i] ) { - t.strictEqual( y, expected[i], 'x: '+x[i]+', mu:'+mu[i]+', b: '+b[i]+', y: '+y+', expected: '+expected[i] ); - } else { - delta = abs( y - expected[ i ] ); - tol = 1.0 * EPS * abs( expected[ i ] ); - t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. b: '+b[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' ); - } + t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' ); } } t.end(); @@ -203,8 +186,6 @@ tape( 'the created function evaluates the logpdf for `x` given negative `mu`', f tape( 'the created function evaluates the logpdf for `x` given large variance (large `b`)', function test( t ) { var expected; var logpdf; - var delta; - var tol; var mu; var b; var i; @@ -219,13 +200,7 @@ tape( 'the created function evaluates the logpdf for `x` given large variance (l logpdf = factory( mu[i], b[i] ); y = logpdf( x[i] ); if ( expected[i] !== null ) { - if ( y === expected[i] ) { - t.strictEqual( y, expected[i], 'x: '+x[i]+', mu: '+mu[i]+', b: '+b[i]+', y: '+y+', expected: '+expected[i] ); - } else { - delta = abs( y - expected[ i ] ); - tol = 1.0 * EPS * abs( expected[ i ] ); - t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. b: '+b[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' ); - } + t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' ); } } t.end(); diff --git a/lib/node_modules/@stdlib/stats/base/dists/laplace/logpdf/test/test.logpdf.js b/lib/node_modules/@stdlib/stats/base/dists/laplace/logpdf/test/test.logpdf.js index 58e5b421a95c..f27d2d4c0133 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/laplace/logpdf/test/test.logpdf.js +++ b/lib/node_modules/@stdlib/stats/base/dists/laplace/logpdf/test/test.logpdf.js @@ -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 logpdf = require( './../lib' ); @@ -98,8 +97,6 @@ tape( 'if provided a nonpositive `b`, the function returns `NaN`', function test tape( 'the function evaluates the logpdf for `x` given positive `mu`', function test( t ) { var expected; - var delta; - var tol; var mu; var x; var b; @@ -113,13 +110,7 @@ tape( 'the function evaluates the logpdf for `x` given positive `mu`', function for ( i = 0; i < x.length; i++ ) { y = logpdf( x[i], mu[i], b[i] ); if ( expected[i] !== null ) { - if ( y === expected[i] ) { - t.strictEqual( y, expected[i], 'x: '+x[i]+', mu:'+mu[i]+', b: '+b[i]+', y: '+y+', expected: '+expected[i] ); - } else { - delta = abs( y - expected[ i ] ); - tol = 1.0 * EPS * abs( expected[ i ] ); - t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. b: '+b[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' ); - } + t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' ); } } t.end(); @@ -127,8 +118,6 @@ tape( 'the function evaluates the logpdf for `x` given positive `mu`', function tape( 'the function evaluates the logpdf for `x` given negative `mu`', function test( t ) { var expected; - var delta; - var tol; var mu; var x; var b; @@ -142,13 +131,7 @@ tape( 'the function evaluates the logpdf for `x` given negative `mu`', function for ( i = 0; i < x.length; i++ ) { y = logpdf( x[i], mu[i], b[i] ); if ( expected[i] !== null ) { - if ( y === expected[i] ) { - t.strictEqual( y, expected[i], 'x: '+x[i]+', mu:'+mu[i]+', b: '+b[i]+', y: '+y+', expected: '+expected[i] ); - } else { - delta = abs( y - expected[ i ] ); - tol = 1.0 * EPS * abs( expected[ i ] ); - t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. b: '+b[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' ); - } + t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' ); } } t.end(); @@ -156,8 +139,6 @@ tape( 'the function evaluates the logpdf for `x` given negative `mu`', function tape( 'the function evaluates the logpdf for `x` given large variance (large `b` )', function test( t ) { var expected; - var delta; - var tol; var mu; var x; var b; @@ -171,13 +152,7 @@ tape( 'the function evaluates the logpdf for `x` given large variance (large `b` for ( i = 0; i < x.length; i++ ) { y = logpdf( x[i], mu[i], b[i] ); if ( expected[i] !== null ) { - if ( y === expected[i] ) { - t.strictEqual( y, expected[i], 'x: '+x[i]+', mu:'+mu[i]+', b: '+b[i]+', y: '+y+', expected: '+expected[i] ); - } else { - delta = abs( y - expected[ i ] ); - tol = 1.0 * EPS * abs( expected[ i ] ); - t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. b: '+b[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' ); - } + t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' ); } } t.end(); diff --git a/lib/node_modules/@stdlib/stats/base/dists/laplace/logpdf/test/test.native.js b/lib/node_modules/@stdlib/stats/base/dists/laplace/logpdf/test/test.native.js index 79ecd400737b..712e221e63b3 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/laplace/logpdf/test/test.native.js +++ b/lib/node_modules/@stdlib/stats/base/dists/laplace/logpdf/test/test.native.js @@ -22,12 +22,11 @@ var resolve = require( 'path' ).resolve; var tape = require( 'tape' ); +var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' ); var tryRequire = require( '@stdlib/utils/try-require' ); 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' ); // VARIABLES // @@ -107,8 +106,6 @@ tape( 'if provided a nonpositive `b`, the function returns `NaN`', opts, functio tape( 'the function evaluates the logpdf for `x` given positive `mu`', opts, function test( t ) { var expected; - var delta; - var tol; var mu; var x; var b; @@ -122,13 +119,7 @@ tape( 'the function evaluates the logpdf for `x` given positive `mu`', opts, fun for ( i = 0; i < x.length; i++ ) { y = logpdf( x[i], mu[i], b[i] ); if ( expected[i] !== null ) { - if ( y === expected[i] ) { - t.strictEqual( y, expected[i], 'x: '+x[i]+', mu:'+mu[i]+', b: '+b[i]+', y: '+y+', expected: '+expected[i] ); - } else { - delta = abs( y - expected[ i ] ); - tol = 1.0 * EPS * abs( expected[ i ] ); - t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. b: '+b[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' ); - } + t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' ); } } t.end(); @@ -136,8 +127,6 @@ tape( 'the function evaluates the logpdf for `x` given positive `mu`', opts, fun tape( 'the function evaluates the logpdf for `x` given negative `mu`', opts, function test( t ) { var expected; - var delta; - var tol; var mu; var x; var b; @@ -151,13 +140,7 @@ tape( 'the function evaluates the logpdf for `x` given negative `mu`', opts, fun for ( i = 0; i < x.length; i++ ) { y = logpdf( x[i], mu[i], b[i] ); if ( expected[i] !== null ) { - if ( y === expected[i] ) { - t.strictEqual( y, expected[i], 'x: '+x[i]+', mu:'+mu[i]+', b: '+b[i]+', y: '+y+', expected: '+expected[i] ); - } else { - delta = abs( y - expected[ i ] ); - tol = 1.0 * EPS * abs( expected[ i ] ); - t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. b: '+b[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' ); - } + t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' ); } } t.end(); @@ -165,8 +148,6 @@ tape( 'the function evaluates the logpdf for `x` given negative `mu`', opts, fun tape( 'the function evaluates the logpdf for `x` given large variance (large `b` )', opts, function test( t ) { var expected; - var delta; - var tol; var mu; var x; var b; @@ -180,13 +161,7 @@ tape( 'the function evaluates the logpdf for `x` given large variance (large `b` for ( i = 0; i < x.length; i++ ) { y = logpdf( x[i], mu[i], b[i] ); if ( expected[i] !== null ) { - if ( y === expected[i] ) { - t.strictEqual( y, expected[i], 'x: '+x[i]+', mu:'+mu[i]+', b: '+b[i]+', y: '+y+', expected: '+expected[i] ); - } else { - delta = abs( y - expected[ i ] ); - tol = 1.0 * EPS * abs( expected[ i ] ); - t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. b: '+b[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' ); - } + t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' ); } } t.end();