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test: migrate stats/base/dists/negative-binomial/logpmf to ULP-based assertions #14199

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Merged
kgryte merged 1 commit into from
Aug 12, 2026
+10 −76
Merged

test: migrate stats/base/dists/negative-binomial/logpmf to ULP-based assertions #14199

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43 changes: 5 additions & 38 deletions lib/node_modules/@stdlib/stats/base/dists/negative-binomial/logpmf/test/test.factory.js
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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 factory = require( './../lib/factory.js' );


Expand Down Expand Up @@ -175,8 +174,6 @@ tape( 'if provided a `r` which is not a positive number, the created function al
tape( 'the created function evaluates the logpmf for `x` given large `r` and `p`', function test( t ) {
var expected;
var logpmf;
var delta;
var tol;
var x;
var r;
var p;
Expand All @@ -190,22 +187,14 @@ tape( 'the created function evaluates the logpmf for `x` given large `r` and `p`
for ( i = 0; i < x.length; i++ ) {
logpmf = factory( r[i], p[i] );
y = logpmf( x[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', r: '+r[i]+', p: '+p[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[i] );
tol = 80.0 * EPS * abs( expected[i] );
t.strictEqual( delta <= tol, true, 'within tolerance. x: '+x[i]+'. r: '+r[i]+'. p: '+p[i]+'. y: '+y+'. Expected: '+expected[i]+'. tol: '+tol+'. delta: '+delta+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[i], 109 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the created function evaluates the logpmf for `x` given a large parameter `r` and small `p`', function test( t ) {
var expected;
var logpmf;
var delta;
var tol;
var i;
var r;
var p;
Expand All @@ -219,22 +208,14 @@ tape( 'the created function evaluates the logpmf for `x` given a large parameter
for ( i = 0; i < x.length; i++ ) {
logpmf = factory( r[i], p[i] );
y = logpmf( x[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', r: '+r[i]+', p: '+p[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[i] );
tol = 10.0 * EPS * abs( expected[i] );
t.strictEqual( delta <= tol, true, 'within tolerance. x: '+x[i]+'. r: '+r[i]+'. p: '+p[i]+'. y: '+y+'. Expected: '+expected[i]+'. tol: '+tol+'. delta: '+delta+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[i], 9 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the created function evaluates the logpmf for `x` given small `r` and large parameter `p`', function test( t ) {
var expected;
var logpmf;
var delta;
var tol;
var i;
var r;
var p;
Expand All @@ -248,22 +229,14 @@ tape( 'the created function evaluates the logpmf for `x` given small `r` and lar
for ( i = 0; i < x.length; i++ ) {
logpmf = factory( r[i], p[i] );
y = logpmf( x[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', r: '+r[i]+', p: '+p[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[i] );
tol = 40.0 * EPS * abs( expected[i] );
t.strictEqual( delta <= tol, true, 'within tolerance. x: '+x[i]+'. r: '+r[i]+'. p: '+p[i]+'. y: '+y+'. Expected: '+expected[i]+'. tol: '+tol+'. delta: '+delta+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[i], 57 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the created function evaluates the logpmf for `x` given small `r` and `p`', function test( t ) {
var expected;
var logpmf;
var delta;
var tol;
var i;
var r;
var p;
Expand All @@ -277,13 +250,7 @@ tape( 'the created function evaluates the logpmf for `x` given small `r` and `p`
for ( i = 0; i < x.length; i++ ) {
logpmf = factory( r[i], p[i] );
y = logpmf( x[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', r: '+r[i]+', p: '+p[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[i] );
tol = 10.0 * EPS * abs( expected[i] );
t.strictEqual( delta <= tol, true, 'within tolerance. x: '+x[i]+'. r: '+r[i]+'. p: '+p[i]+'. y: '+y+'. Expected: '+expected[i]+'. tol: '+tol+'. delta: '+delta+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[i], 6 ), true, 'returns expected value' );
}
t.end();
});
43 changes: 5 additions & 38 deletions lib/node_modules/@stdlib/stats/base/dists/negative-binomial/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 @@ -122,8 +121,6 @@ tape( 'if provided a success probability `p` outside of `[0,1]`, the function re

tape( 'the function evaluates the logpmf for `x` given large `r` and `p`', function test( t ) {
var expected;
var delta;
var tol;
var i;
var r;
var p;
Expand All @@ -136,21 +133,13 @@ tape( 'the function evaluates the logpmf for `x` given large `r` and `p`', funct
p = highHigh.p;
for ( i = 0; i < x.length; i++ ) {
y = logpmf( x[i], r[i], p[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', r: '+r[i]+', p: '+p[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[i] );
tol = 80.0 * EPS * abs( expected[i] );
t.strictEqual( delta <= tol, true, 'within tolerance. x: '+x[i]+'. r: '+r[i]+'. p: '+p[i]+'. y: '+y+'. Expected: '+expected[i]+'. tol: '+tol+'. delta: '+delta+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[i], 109 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function evaluates the logpmf for `x` given large parameter `r` and small `p`', function test( t ) {
var expected;
var delta;
var tol;
var i;
var r;
var p;
Expand All @@ -163,21 +152,13 @@ tape( 'the function evaluates the logpmf for `x` given large parameter `r` and s
p = highSmall.p;
for ( i = 0; i < x.length; i++ ) {
y = logpmf( x[i], r[i], p[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', r: '+r[i]+', p: '+p[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[i] );
tol = 10.0 * EPS * abs( expected[i] );
t.strictEqual( delta <= tol, true, 'within tolerance. x: '+x[i]+'. r: '+r[i]+'. p: '+p[i]+'. y: '+y+'. Expected: '+expected[i]+'. tol: '+tol+'. delta: '+delta+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[i], 9 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function evaluates the logpmf for `x` given small `r` and large `p`', function test( t ) {
var expected;
var delta;
var tol;
var i;
var r;
var p;
Expand All @@ -190,21 +171,13 @@ tape( 'the function evaluates the logpmf for `x` given small `r` and large `p`',
p = smallHigh.p;
for ( i = 0; i < x.length; i++ ) {
y = logpmf( x[i], r[i], p[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', r: '+r[i]+', p: '+p[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[i] );
tol = 40.0 * EPS * abs( expected[i] );
t.strictEqual( delta <= tol, true, 'within tolerance. x: '+x[i]+'. r: '+r[i]+'. p: '+p[i]+'. y: '+y+'. Expected: '+expected[i]+'. tol: '+tol+'. delta: '+delta+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[i], 57 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function evaluates the logpmf for `x` given small `r` and `p`', function test( t ) {
var expected;
var delta;
var tol;
var i;
var r;
var p;
Expand All @@ -217,13 +190,7 @@ tape( 'the function evaluates the logpmf for `x` given small `r` and `p`', funct
p = smallSmall.p;
for ( i = 0; i < x.length; i++ ) {
y = logpmf( x[i], r[i], p[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', r: '+r[i]+', p: '+p[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[i] );
tol = 10.0 * EPS * abs( expected[i] );
t.strictEqual( delta <= tol, true, 'within tolerance. x: '+x[i]+'. r: '+r[i]+'. p: '+p[i]+'. y: '+y+'. Expected: '+expected[i]+'. tol: '+tol+'. delta: '+delta+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[i], 6 ), true, 'returns expected value' );
}
t.end();
});