From 23c128c47a7b8ff54d781c958b04c78573ad9840 Mon Sep 17 00:00:00 2001 From: Claude Date: Fri, 14 Aug 2026 22:22:30 +0000 Subject: [PATCH] test: migrate `stats/base/dists/lognormal/pdf` to ULP-based assertions Ref: https://github.com/stdlib-js/stdlib/issues/11352 Co-Authored-By: Claude Opus 5 Claude-Session: https://claude.ai/code/session_01N6nGZrFRdZCmZGiBjMnGtZ --- type: pre_commit_static_analysis_report description: Results of running static analysis checks when committing changes. report: - task: lint_filenames status: passed - task: lint_editorconfig status: passed - task: lint_markdown_pkg_readmes status: na - task: lint_markdown_docs status: na - task: lint_markdown status: na - task: lint_package_json status: na - task: lint_repl_help status: na - task: lint_javascript_src status: na - task: lint_javascript_cli status: na - task: lint_javascript_examples status: na - task: lint_javascript_tests status: passed - task: lint_javascript_benchmarks status: na - task: lint_python status: na - task: lint_r status: na - task: lint_c_src status: na - task: lint_c_examples status: na - task: lint_c_benchmarks status: na - task: lint_c_tests_fixtures status: na - task: lint_shell status: na - task: lint_typescript_declarations status: passed - task: lint_typescript_tests status: na - task: lint_license_headers status: passed --- --- .../dists/lognormal/pdf/test/test.factory.js | 33 +++---------------- .../dists/lognormal/pdf/test/test.native.js | 33 +++---------------- .../base/dists/lognormal/pdf/test/test.pdf.js | 33 +++---------------- 3 files changed, 12 insertions(+), 87 deletions(-) diff --git a/lib/node_modules/@stdlib/stats/base/dists/lognormal/pdf/test/test.factory.js b/lib/node_modules/@stdlib/stats/base/dists/lognormal/pdf/test/test.factory.js index 519f2dcfea2d..d89eed743788 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/lognormal/pdf/test/test.factory.js +++ b/lib/node_modules/@stdlib/stats/base/dists/lognormal/pdf/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' ); @@ -135,10 +134,8 @@ tape( 'if provided a nonpositive `sigma`, the created function always returns `N tape( 'the created function evaluates the pdf for `x` given positive `mu`', function test( t ) { var expected; - var delta; var sigma; var pdf; - var tol; var mu; var x; var y; @@ -152,13 +149,7 @@ tape( 'the created function evaluates the pdf for `x` given positive `mu`', func pdf = factory( mu[i], sigma[i] ); y = pdf( x[i] ); if ( expected[i] !== null ) { - if ( y === expected[i] ) { - t.strictEqual( y, expected[i], 'x: '+x[i]+', mu: '+mu[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] ); - } else { - delta = abs( y - expected[ i ] ); - tol = 550.0 * EPS * abs( expected[ i ] ); - t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' ); - } + t.strictEqual( isAlmostSameValue( y, expected[ i ], 800 ), true, 'returns expected value' ); } } t.end(); @@ -166,10 +157,8 @@ tape( 'the created function evaluates the pdf for `x` given positive `mu`', func tape( 'the created function evaluates the pdf for `x` given negative `mu`', function test( t ) { var expected; - var delta; var sigma; var pdf; - var tol; var mu; var x; var y; @@ -183,13 +172,7 @@ tape( 'the created function evaluates the pdf for `x` given negative `mu`', func pdf = factory( mu[i], sigma[i] ); y = pdf( x[i] ); if ( expected[i] !== null ) { - if ( y === expected[i] ) { - t.strictEqual( y, expected[i], 'x: '+x[i]+', mu:'+mu[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] ); - } else { - delta = abs( y - expected[ i ] ); - tol = 1050.0 * EPS * abs( expected[ i ] ); - t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' ); - } + t.strictEqual( isAlmostSameValue( y, expected[ i ], 1489 ), true, 'returns expected value' ); } } t.end(); @@ -197,10 +180,8 @@ tape( 'the created function evaluates the pdf for `x` given negative `mu`', func tape( 'the created function evaluates the pdf for `x` given large variance ( = large `sigma`)', function test( t ) { var expected; - var delta; var sigma; var pdf; - var tol; var mu; var x; var y; @@ -214,13 +195,7 @@ tape( 'the created function evaluates the pdf for `x` given large variance ( = l pdf = factory( mu[i], sigma[i] ); y = pdf( x[i] ); if ( expected[i] !== null ) { - if ( y === expected[i] ) { - t.strictEqual( y, expected[i], 'x: '+x[i]+', mu: '+mu[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] ); - } else { - delta = abs( y - expected[ i ] ); - tol = 300.0 * EPS * abs( expected[ i ] ); - t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' ); - } + t.strictEqual( isAlmostSameValue( y, expected[ i ], 305 ), true, 'returns expected value' ); } } t.end(); diff --git a/lib/node_modules/@stdlib/stats/base/dists/lognormal/pdf/test/test.native.js b/lib/node_modules/@stdlib/stats/base/dists/lognormal/pdf/test/test.native.js index 23ffbe8c8439..a1d009061111 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/lognormal/pdf/test/test.native.js +++ b/lib/node_modules/@stdlib/stats/base/dists/lognormal/pdf/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 // @@ -104,9 +103,7 @@ tape( 'if provided a nonpositive `sigma`, the function returns `NaN`', opts, fun tape( 'the function evaluates the pdf for `x` given positive `mu`', opts, function test( t ) { var expected; - var delta; var sigma; - var tol; var mu; var x; var y; @@ -119,13 +116,7 @@ tape( 'the function evaluates the pdf for `x` given positive `mu`', opts, functi for ( i = 0; i < x.length; i++ ) { y = pdf( x[i], mu[i], sigma[i] ); if ( expected[i] !== null ) { - if ( y === expected[i] ) { - t.strictEqual( y, expected[i], 'x: '+x[i]+', mu:'+mu[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] ); - } else { - delta = abs( y - expected[ i ] ); - tol = 550.0 * EPS * abs( expected[ i ] ); - t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' ); - } + t.strictEqual( isAlmostSameValue( y, expected[ i ], 800 ), true, 'returns expected value' ); } } t.end(); @@ -133,9 +124,7 @@ tape( 'the function evaluates the pdf for `x` given positive `mu`', opts, functi tape( 'the function evaluates the pdf for `x` given negative `mu`', opts, function test( t ) { var expected; - var delta; var sigma; - var tol; var mu; var x; var y; @@ -148,13 +137,7 @@ tape( 'the function evaluates the pdf for `x` given negative `mu`', opts, functi for ( i = 0; i < x.length; i++ ) { y = pdf( x[i], mu[i], sigma[i] ); if ( expected[i] !== null ) { - if ( y === expected[i] ) { - t.strictEqual( y, expected[i], 'x: '+x[i]+', mu:'+mu[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] ); - } else { - delta = abs( y - expected[ i ] ); - tol = 1050.0 * EPS * abs( expected[ i ] ); - t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' ); - } + t.strictEqual( isAlmostSameValue( y, expected[ i ], 1489 ), true, 'returns expected value' ); } } t.end(); @@ -162,9 +145,7 @@ tape( 'the function evaluates the pdf for `x` given negative `mu`', opts, functi tape( 'the function evaluates the pdf for `x` given large variance ( = large `sigma` )', opts, function test( t ) { var expected; - var delta; var sigma; - var tol; var mu; var x; var y; @@ -177,13 +158,7 @@ tape( 'the function evaluates the pdf for `x` given large variance ( = large `si for ( i = 0; i < x.length; i++ ) { y = pdf( x[i], mu[i], sigma[i] ); if ( expected[i] !== null ) { - if ( y === expected[i] ) { - t.strictEqual( y, expected[i], 'x: '+x[i]+', mu:'+mu[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] ); - } else { - delta = abs( y - expected[ i ] ); - tol = 300.0 * EPS * abs( expected[ i ] ); - t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' ); - } + t.strictEqual( isAlmostSameValue( y, expected[ i ], 305 ), true, 'returns expected value' ); } } t.end(); diff --git a/lib/node_modules/@stdlib/stats/base/dists/lognormal/pdf/test/test.pdf.js b/lib/node_modules/@stdlib/stats/base/dists/lognormal/pdf/test/test.pdf.js index 47fa9b1e3d66..23f30165b74a 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/lognormal/pdf/test/test.pdf.js +++ b/lib/node_modules/@stdlib/stats/base/dists/lognormal/pdf/test/test.pdf.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 pdf = require( './../lib' ); @@ -95,9 +94,7 @@ tape( 'if provided a nonpositive `sigma`, the function returns `NaN`', function tape( 'the function evaluates the pdf for `x` given positive `mu`', function test( t ) { var expected; - var delta; var sigma; - var tol; var mu; var x; var y; @@ -110,13 +107,7 @@ tape( 'the function evaluates the pdf for `x` given positive `mu`', function tes for ( i = 0; i < x.length; i++ ) { y = pdf( x[i], mu[i], sigma[i] ); if ( expected[i] !== null ) { - if ( y === expected[i] ) { - t.strictEqual( y, expected[i], 'x: '+x[i]+', mu:'+mu[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] ); - } else { - delta = abs( y - expected[ i ] ); - tol = 550.0 * EPS * abs( expected[ i ] ); - t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' ); - } + t.strictEqual( isAlmostSameValue( y, expected[ i ], 800 ), true, 'returns expected value' ); } } t.end(); @@ -124,9 +115,7 @@ tape( 'the function evaluates the pdf for `x` given positive `mu`', function tes tape( 'the function evaluates the pdf for `x` given negative `mu`', function test( t ) { var expected; - var delta; var sigma; - var tol; var mu; var x; var y; @@ -139,13 +128,7 @@ tape( 'the function evaluates the pdf for `x` given negative `mu`', function tes for ( i = 0; i < x.length; i++ ) { y = pdf( x[i], mu[i], sigma[i] ); if ( expected[i] !== null ) { - if ( y === expected[i] ) { - t.strictEqual( y, expected[i], 'x: '+x[i]+', mu:'+mu[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] ); - } else { - delta = abs( y - expected[ i ] ); - tol = 1050.0 * EPS * abs( expected[ i ] ); - t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' ); - } + t.strictEqual( isAlmostSameValue( y, expected[ i ], 1489 ), true, 'returns expected value' ); } } t.end(); @@ -153,9 +136,7 @@ tape( 'the function evaluates the pdf for `x` given negative `mu`', function tes tape( 'the function evaluates the pdf for `x` given large variance ( = large `sigma` )', function test( t ) { var expected; - var delta; var sigma; - var tol; var mu; var x; var y; @@ -168,13 +149,7 @@ tape( 'the function evaluates the pdf for `x` given large variance ( = large `si for ( i = 0; i < x.length; i++ ) { y = pdf( x[i], mu[i], sigma[i] ); if ( expected[i] !== null ) { - if ( y === expected[i] ) { - t.strictEqual( y, expected[i], 'x: '+x[i]+', mu:'+mu[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] ); - } else { - delta = abs( y - expected[ i ] ); - tol = 300.0 * EPS * abs( expected[ i ] ); - t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' ); - } + t.strictEqual( isAlmostSameValue( y, expected[ i ], 305 ), true, 'returns expected value' ); } } t.end();