From 64e894a5b03152d34af948dd47f40fe7607623fb Mon Sep 17 00:00:00 2001
From: Ujjwal Verma <ujjwalverma010305@gmail.com>
Date: Wed, 23 Sep 2026 23:31:52 +0530
Subject: [PATCH] test: migrate `stats/base/dists/poisson/logpmf` to ULP-based
 assertions

---
 .../dists/poisson/logpmf/test/test.factory.js | 33 +++----------------
 .../dists/poisson/logpmf/test/test.logpmf.js  | 33 +++----------------
 .../dists/poisson/logpmf/test/test.native.js  | 33 +++----------------
 3 files changed, 12 insertions(+), 87 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/dists/poisson/logpmf/test/test.factory.js b/lib/node_modules/@stdlib/stats/base/dists/poisson/logpmf/test/test.factory.js
index 208a71fdd9ea..7ea72d3d2abd 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/poisson/logpmf/test/test.factory.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/poisson/logpmf/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 NINF = require( '@stdlib/constants/float64/ninf' );
 var PINF = require( '@stdlib/constants/float64/pinf' );
-var EPS = require( '@stdlib/constants/float64/eps' );
 var factory = require( './../lib/factory.js' );
 
 
@@ -149,8 +148,6 @@ tape( 'the created function evaluates the logpmf for `x` given small `lambda`',
 	var expected;
 	var logpmf;
 	var lambda;
-	var delta;
-	var tol;
 	var i;
 	var x;
 	var y;
@@ -161,13 +158,7 @@ tape( 'the created function evaluates the logpmf for `x` given small `lambda`',
 	for ( i = 0; i < x.length; i++ ) {
 		logpmf = factory( lambda[i] );
 		y = logpmf( x[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'x: '+x[i]+'. lambda: '+lambda[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 20.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. lambda: '+lambda[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 8 ), true, 'returns expected value' );
 	}
 	t.end();
 });
@@ -176,8 +167,6 @@ tape( 'the function evaluates the logpmf for `x` given medium `lambda`', functio
 	var expected;
 	var lambda;
 	var logpmf;
-	var delta;
-	var tol;
 	var i;
 	var x;
 	var y;
@@ -188,13 +177,7 @@ tape( 'the function evaluates the logpmf for `x` given medium `lambda`', functio
 	for ( i = 0; i < x.length; i++ ) {
 		logpmf = factory( lambda[i] );
 		y = logpmf( x[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'x: '+x[i]+'. lambda: '+lambda[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 30.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. lambda: '+lambda[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 29 ), true, 'returns expected value' );
 	}
 	t.end();
 });
@@ -203,8 +186,6 @@ tape( 'the function evaluates the logpmf for `x` given large `lambda`', function
 	var expected;
 	var lambda;
 	var logpmf;
-	var delta;
-	var tol;
 	var i;
 	var x;
 	var y;
@@ -215,13 +196,7 @@ tape( 'the function evaluates the logpmf for `x` given large `lambda`', function
 	for ( i = 0; i < x.length; i++ ) {
 		logpmf = factory( lambda[i] );
 		y = logpmf( x[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'x: '+x[i]+'. lambda: '+lambda[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 80.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. lambda: '+lambda[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 86 ), true, 'returns expected value' );
 	}
 	t.end();
 });
diff --git a/lib/node_modules/@stdlib/stats/base/dists/poisson/logpmf/test/test.logpmf.js b/lib/node_modules/@stdlib/stats/base/dists/poisson/logpmf/test/test.logpmf.js
index 98d42168ac08..51fda66d1e0d 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/poisson/logpmf/test/test.logpmf.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/poisson/logpmf/test/test.logpmf.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 logpmf = require( './../lib' );
 
 
@@ -117,8 +116,6 @@ tape( 'if provided `lambda` equals `0`, the function evaluates a degenerate dist
 tape( 'the function evaluates the logpmf for `x` given a small parameter `lambda`', function test( t ) {
 	var expected;
 	var lambda;
-	var delta;
-	var tol;
 	var i;
 	var x;
 	var y;
@@ -128,13 +125,7 @@ tape( 'the function evaluates the logpmf for `x` given a small parameter `lambda
 	lambda = smallMean.lambda;
 	for ( i = 0; i < x.length; i++ ) {
 		y = logpmf( x[i], lambda[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'x: '+x[i]+'. lambda: '+lambda[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 20.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. lambda: '+lambda[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 8 ), true, 'returns expected value' );
 	}
 	t.end();
 });
@@ -142,8 +133,6 @@ tape( 'the function evaluates the logpmf for `x` given a small parameter `lambda
 tape( 'the function evaluates the logpmf for `x` given a medium parameter `lambda`', function test( t ) {
 	var expected;
 	var lambda;
-	var delta;
-	var tol;
 	var i;
 	var x;
 	var y;
@@ -153,13 +142,7 @@ tape( 'the function evaluates the logpmf for `x` given a medium parameter `lambd
 	lambda = mediumMean.lambda;
 	for ( i = 0; i < x.length; i++ ) {
 		y = logpmf( x[i], lambda[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'x: '+x[i]+'. lambda: '+lambda[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 30.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. lambda: '+lambda[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 29 ), true, 'returns expected value' );
 	}
 	t.end();
 });
@@ -167,8 +150,6 @@ tape( 'the function evaluates the logpmf for `x` given a medium parameter `lambd
 tape( 'the function evaluates the logpmf for `x` given a large parameter `lambda`', function test( t ) {
 	var expected;
 	var lambda;
-	var delta;
-	var tol;
 	var i;
 	var x;
 	var y;
@@ -178,13 +159,7 @@ tape( 'the function evaluates the logpmf for `x` given a large parameter `lambda
 	lambda = largeMean.lambda;
 	for ( i = 0; i < x.length; i++ ) {
 		y = logpmf( x[i], lambda[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'x: '+x[i]+'. lambda: '+lambda[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 80.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. lambda: '+lambda[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 86 ), true, 'returns expected value' );
 	}
 	t.end();
 });
diff --git a/lib/node_modules/@stdlib/stats/base/dists/poisson/logpmf/test/test.native.js b/lib/node_modules/@stdlib/stats/base/dists/poisson/logpmf/test/test.native.js
index c2c6e290ffdf..9b4b43c6b44f 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/poisson/logpmf/test/test.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/poisson/logpmf/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 //
@@ -126,8 +125,6 @@ tape( 'if provided `lambda` equals `0`, the function evaluates a degenerate dist
 tape( 'the function evaluates the logpmf for `x` given a small parameter `lambda`', opts, function test( t ) {
 	var expected;
 	var lambda;
-	var delta;
-	var tol;
 	var i;
 	var x;
 	var y;
@@ -137,13 +134,7 @@ tape( 'the function evaluates the logpmf for `x` given a small parameter `lambda
 	lambda = smallMean.lambda;
 	for ( i = 0; i < x.length; i++ ) {
 		y = logpmf( x[i], lambda[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'x: '+x[i]+'. lambda: '+lambda[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 20.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. lambda: '+lambda[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 8 ), true, 'returns expected value' );
 	}
 	t.end();
 });
@@ -151,8 +142,6 @@ tape( 'the function evaluates the logpmf for `x` given a small parameter `lambda
 tape( 'the function evaluates the logpmf for `x` given a medium parameter `lambda`', opts, function test( t ) {
 	var expected;
 	var lambda;
-	var delta;
-	var tol;
 	var i;
 	var x;
 	var y;
@@ -162,13 +151,7 @@ tape( 'the function evaluates the logpmf for `x` given a medium parameter `lambd
 	lambda = mediumMean.lambda;
 	for ( i = 0; i < x.length; i++ ) {
 		y = logpmf( x[i], lambda[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'x: '+x[i]+'. lambda: '+lambda[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 30.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. lambda: '+lambda[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 29 ), true, 'returns expected value' );
 	}
 	t.end();
 });
@@ -176,8 +159,6 @@ tape( 'the function evaluates the logpmf for `x` given a medium parameter `lambd
 tape( 'the function evaluates the logpmf for `x` given a large parameter `lambda`', opts, function test( t ) {
 	var expected;
 	var lambda;
-	var delta;
-	var tol;
 	var i;
 	var x;
 	var y;
@@ -187,13 +168,7 @@ tape( 'the function evaluates the logpmf for `x` given a large parameter `lambda
 	lambda = largeMean.lambda;
 	for ( i = 0; i < x.length; i++ ) {
 		y = logpmf( x[i], lambda[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'x: '+x[i]+'. lambda: '+lambda[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 80.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. lambda: '+lambda[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 86 ), true, 'returns expected value' );
 	}
 	t.end();
 });