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test: migrate stats/base/dists/poisson/logpmf to ULP-based assertions #15468

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Merged
kgryte merged 1 commit into from
Sep 24, 2026
+12 −87
Merged

test: migrate stats/base/dists/poisson/logpmf to ULP-based assertions #15468

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33 changes: 4 additions & 29 deletions lib/node_modules/@stdlib/stats/base/dists/poisson/logpmf/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 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' );


Expand Down Expand Up @@ -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;
Expand All @@ -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();
});
Expand All @@ -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;
Expand All @@ -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();
});
Expand All @@ -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;
Expand All @@ -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();
});
33 changes: 4 additions & 29 deletions lib/node_modules/@stdlib/stats/base/dists/poisson/logpmf/test/test.logpmf.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 logpmf = require( './../lib' );


Expand Down Expand Up @@ -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;
Expand All @@ -128,22 +125,14 @@ 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();
});

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;
Expand All @@ -153,22 +142,14 @@ 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();
});

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;
Expand All @@ -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();
});
33 changes: 4 additions & 29 deletions lib/node_modules/@stdlib/stats/base/dists/poisson/logpmf/test/test.native.js
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -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 //
Expand Down Expand Up @@ -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;
Expand All @@ -137,22 +134,14 @@ 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();
});

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;
Expand All @@ -162,22 +151,14 @@ 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();
});

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;
Expand All @@ -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();
});
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